TY - JOUR A1 - Kühn, Elisabeth A1 - Becker, Marc A1 - Harpke, Alexander A1 - Kühn, Ingolf A1 - Kuhlicke, Christian A1 - Schmitt, Thomas A1 - Settele, Josef A1 - Musche, Martin T1 - The benefits of counting butterflies: recommendations for a successful citizen science project JF - Ecology and Society N2 - Citizen science (CS) projects, being popular across many fields of science, have recently also become a popular tool to collect biodiversity data. Although the benefits of such projects for science and policy making are well understood, relatively little is known about the benefits participants get from these projects as well as their personal backgrounds and motivations. Furthermore, very little is known about their expectations. We here examine these aspects, with the citizen science project "German Butterfly Monitoring" as an example. A questionnaire was sent to all participants of the project and the responses to the questionnaire indicated the following: center dot Most transect walkers do not have a professional background in this field, though they do have a high educational level, and are close to retirement, with a high number of females; center dot An important motivation to join the project is to preserve the natural environment and to contribute to scientific knowledge; center dot Participants benefit by enhancing their knowledge about butterflies and especially their ability to identify different species (taxonomic knowledge); center dot Participants do not have specific expectations regarding the project beyond proper management and coordination, but have an intrinsic sense of working for a greater good. The willingness to join a project is higher if the project contributes to the solution of a problem discussed in the media (here, insect decline). Based on our findings from the analysis of the questionnaire we can derive a set of recommendations for establishing a successful CS project. These include the importance of good communication, e.g., by explaining what the (scientific) purpose of the project is and what problems are to be solved with the help of the data collected in the project. The motivation to join a CS project is mostly intrinsic and CS is a good tool to engage people during difficult times such as the COVID-19 pandemic, giving participants the feeling of doing something useful. KW - COVID-19 pandemic KW - gender gap KW - insect decline KW - intrinsic motivation KW - monitoring Y1 - 2022 U6 - https://doi.org/10.5751/ES-12861-270238 SN - 1708-3087 VL - 27 IS - 2 PB - Resilience Alliance CY - Wolfville ER - TY - JOUR A1 - Habel, Jan Christian A1 - Ulrich, Werner A1 - Eberle, Jonas A1 - Schmitt, Thomas T1 - Species community structures of Afrotropical butterflies differ depending on the monitoring method JF - Biodiversity and conservation N2 - Standardised biodiversity assessment is crucial to understand community structures and population dynamics of animals. There exist various methods to monitor biodiversity. Approaches differ depending on the target species group and the aim of study, and show advantages and disadvantages. The obtained data and results are influenced by local environmental conditions and seasonal variability. In a comparative approach, we studied butterfly diversity and community structure in the dryland savannah biome of south-eastern Kenya with two different methods, transect counts and bait trapping. We repeatedly collected data throughout the dry and rainy seasons, in both near natural and anthropogenically influenced landscapes. Significantly more species and individuals were recorded by transect counts than by bait trapping, though the larger and more mobile Nymphalid species (and in particular representatives of the genus Charaxes) were comparatively overrepresented in traps. The transect data revealed much more pronounced effects of land-use and seasonality than the trap data. These results show that the choice of data collection methods must depend on the general research question, habitat conditions and season. To study the relative variation of species diversity and abundance, the collection of a fraction of the total species diversity might be sufficient. However, if the focus is on a largely complete recording of species diversity, the use of various collection methods is essential. More specifically, our data clearly demonstrate that transect counts represent a reasonable method for assessing butterfly diversity for the African dryland savannah region, but fails to fully capture occurrences of all species. Bait trapping can be used only as a supplementary method for assessing some few highly mobile low-density species. KW - monitoring KW - transect count KW - bait trap KW - population dynamic KW - disturbance KW - seasonality Y1 - 2022 U6 - https://doi.org/10.1007/s10531-021-02332-2 SN - 0960-3115 SN - 1572-9710 VL - 31 IS - 1 SP - 245 EP - 259 PB - Springer CY - Dordrecht ER - TY - JOUR A1 - Eibl, Eva P. S. A1 - Rosskopf, Martina A1 - Sciotto, Mariangela A1 - Currenti, Gilda A1 - Di Grazia, Giuseppe A1 - Jousset, Philippe A1 - Krüger, Frank A1 - Weber, Michael T1 - Performance of a rotational sensor to decipher volcano seismic signals on Etna, Italy JF - Journal of geophysical research : Solid earth N2 - Volcano-seismic signals such as long-period events and tremor are important indicators for volcanic activity and unrest. However, their wavefield is complex and characterization and location using traditional seismological instrumentation is often difficult. In 2019 we recorded the full seismic wavefield using a newly developed 3C rotational sensor co-located with a 3C traditional seismometer on Etna, Italy. We compare the performance of the rotational sensor, the seismometer and the Istituto Nazionale di Geofisica e Vulcanologia-Osservatorio Etneo (INGV-OE) seismic network with respect to the analysis of complex volcano-seismic signals. We create event catalogs for volcano-tectonic (VT) and long-period (LP) events combining a STA/LTA algorithm and cross-correlations. The event detection based on the rotational sensor is as reliable as the seismometer-based detection. The LP events are dominated by SH-type waves. Derived SH phase velocities range from 500 to 1,000 m/s for LP events and 300-400 m/s for volcanic tremor. SH-waves compose the tremor during weak volcanic activity and SH- and SV-waves during sustained strombolian activity. We derive back azimuths using (a) horizontal rotational components and (b) vertical rotation rate and transverse acceleration. The estimated back azimuths are consistent with the INGV-OE event location for (a) VT events with an epicentral distance larger than 3 km and some closer events, (b) LP events and tremor in the main crater area. Measuring the full wavefield we can reliably analyze the back azimuths, phase velocities and wavefield composition for VT, LP events and tremor in regions that are difficult to access such as volcanoes. KW - Etna KW - LP KW - monitoring KW - rotational sensor KW - VLP KW - volcanoseismology KW - VT events and tremor Y1 - 2022 U6 - https://doi.org/10.1029/2021JB023617 SN - 0148-0227 SN - 2169-9356 VL - 127 IS - 6 PB - Wiley CY - Hoboken, NJ ER - TY - JOUR A1 - Chen, Junchao A1 - Lange, Thomas A1 - Andjelkovic, Marko A1 - Simevski, Aleksandar A1 - Lu, Li A1 - Krstić, Miloš T1 - Solar particle event and single event upset prediction from SRAM-based monitor and supervised machine learning JF - IEEE transactions on emerging topics in computing / IEEE Computer Society, Institute of Electrical and Electronics Engineers N2 - The intensity of cosmic radiation may differ over five orders of magnitude within a few hours or days during the Solar Particle Events (SPEs), thus increasing for several orders of magnitude the probability of Single Event Upsets (SEUs) in space-borne electronic systems. Therefore, it is vital to enable the early detection of the SEU rate changes in order to ensure timely activation of dynamic radiation hardening measures. In this paper, an embedded approach for the prediction of SPEs and SRAM SEU rate is presented. The proposed solution combines the real-time SRAM-based SEU monitor, the offline-trained machine learning model and online learning algorithm for the prediction. With respect to the state-of-the-art, our solution brings the following benefits: (1) Use of existing on-chip data storage SRAM as a particle detector, thus minimizing the hardware and power overhead, (2) Prediction of SRAM SEU rate one hour in advance, with the fine-grained hourly tracking of SEU variations during SPEs as well as under normal conditions, (3) Online optimization of the prediction model for enhancing the prediction accuracy during run-time, (4) Negligible cost of hardware accelerator design for the implementation of selected machine learning model and online learning algorithm. The proposed design is intended for a highly dependable and self-adaptive multiprocessing system employed in space applications, allowing to trigger the radiation mitigation mechanisms before the onset of high radiation levels. KW - Machine learning KW - Single event upsets KW - Random access memory KW - monitoring KW - machine learning algorithms KW - predictive models KW - space missions KW - solar particle event KW - single event upset KW - machine learning KW - online learning KW - hardware accelerator KW - reliability KW - self-adaptive multiprocessing system Y1 - 2022 U6 - https://doi.org/10.1109/TETC.2022.3147376 SN - 2168-6750 VL - 10 IS - 2 SP - 564 EP - 580 PB - Institute of Electrical and Electronics Engineers CY - [New York, NY] ER - TY - RPRT A1 - Gagrčin, Emilija A1 - Schaetz, Nadja A1 - Rakowski, Niklas A1 - Toth, Roland A1 - Renz, André A1 - Vladova, Gergana A1 - Emmer, Martin T1 - We and AI BT - living in a datafied world : experiences & attitudes of young Europeans KW - sociology & anthropology KW - technology (applied sciences) KW - sociology of science KW - sociology of technology KW - research on science and technology KW - technology assessment KW - artificial intelligence KW - digitalization KW - educational technology KW - decision making KW - data security KW - monitoring KW - data protection KW - automation KW - Europe KW - attitude KW - young adult KW - technological change KW - new technology Y1 - 2021 U6 - https://doi.org/10.34669/wi/1 PB - Weizenbaum Institute for the Networked Society - the German Internet CY - Berlin ER - TY - JOUR A1 - Wilhelms, Andre A1 - Börsig, Nicolas A1 - Yang, Jingwei A1 - Holbach, Andreas A1 - Norra, Stefan T1 - Insights into phytoplankton dynamics and water quality monitoring with the BIOFISH at the Elbe River, Germany JF - Water N2 - Understanding the key factors influencing the water quality of large river systems forms an important basis for the assessment and protection of cross-regional ecosystems and the implementation of adapted water management concepts. However, identifying these factors requires in-depth comprehension of the unique environmental systems, which can only be achieved by detailed water quality monitoring. Within the scope of the joint science and sports event "Elbschwimmstaffel" (swimming relay on the river Elbe) in June/July 2017 organized by the German Ministry of Education and Research, water quality data were acquired along a 550 km long stretch of the Elbe River in Germany. During the survey, eight physiochemical water quality parameters were recorded in high spatial and temporal resolution with the BIOFISH multisensor system. Multivariate statistical methods were applied to identify and delineate processes influencing the water quality. The BIOFISH dataset revealed that phytoplankton activity has a major impact on the water quality of the Elbe River in the summer months. The results suggest that phytoplankton biomass constitutes a substantial proportion of the suspended particles and that photosynthetic activity of phytoplankton is closely related to significant temporal changes in pH and oxygen saturation. An evaluation of the BIOFISH data based on the combination of statistical analysis with weather and discharge data shows that the hydrological and meteorological history of the sampled water body was the main driver of phytoplankton dynamics. This study demonstrates the capacity of longitudinal river surveys with the BIOFISH or similar systems for water quality assessment, the identification of pollution sources and their utilization for online in situ monitoring of rivers. KW - water quality KW - phytoplankton KW - river dynamics KW - multisensor system KW - online KW - monitoring KW - high spatial resolution KW - multivariate statistics Y1 - 2022 U6 - https://doi.org/10.3390/w14132078 SN - 2073-4441 VL - 14 IS - 13 PB - MDPI CY - Basel ER - TY - JOUR A1 - Ulbricht, Alexander A1 - Mohr, Gunther A1 - Altenburg, Simon J. A1 - Oster, Simon A1 - Maierhofer, Christiane A1 - Bruno, Giovanni T1 - Can potential defects in LPBF be healed from the laser exposure of subsequent layers? BT - A quantitative study JF - Metals : open access journal N2 - Additive manufacturing (AM) of metals and in particular laser powder bed fusion (LPBF) enables a degree of freedom in design unparalleled by conventional subtractive methods. To ensure that the designed precision is matched by the produced LPBF parts, a full understanding of the interaction between the laser and the feedstock powder is needed. It has been shown that the laser also melts subjacent layers of material underneath. This effect plays a key role when designing small cavities or overhanging structures, because, in these cases, the material underneath is feed-stock powder. In this study, we quantify the extension of the melt pool during laser illumination of powder layers and the defect spatial distribution in a cylindrical specimen. During the LPBF process, several layers were intentionally not exposed to the laser beam at various locations, while the build process was monitored by thermography and optical tomography. The cylinder was finally scanned by X-ray computed tomography (XCT). To correlate the positions of the unmolten layers in the part, a staircase was manufactured around the cylinder for easier registration. The results show that healing among layers occurs if a scan strategy is applied, where the orientation of the hatches is changed for each subsequent layer. They also show that small pores and surface roughness of solidified material below a thick layer of unmolten material (>200 mu m) serve as seeding points for larger voids. The orientation of the first two layers fully exposed after a thick layer of unmolten powder shapes the orientation of these voids, created by a lack of fusion. KW - selective laser melting (SLM) KW - additive manufacturing (AM) KW - process KW - monitoring KW - infrared thermography KW - optical tomography KW - X-ray computed KW - tomography (XCT) KW - healing KW - in situ monitoring Y1 - 2021 U6 - https://doi.org/10.3390/met11071012 SN - 2075-4701 VL - 11 IS - 7 PB - MDPI CY - Basel ER - TY - JOUR A1 - Camargo, Tibor de A1 - Schirrmann, Michael A1 - Landwehr, Niels A1 - Dammer, Karl-Heinz A1 - Pflanz, Michael T1 - Optimized deep learning model as a basis for fast UAV mapping of weed species in winter wheat crops JF - Remote sensing / Molecular Diversity Preservation International (MDPI) N2 - Weed maps should be available quickly, reliably, and with high detail to be useful for site-specific management in crop protection and to promote more sustainable agriculture by reducing pesticide use. Here, the optimization of a deep residual convolutional neural network (ResNet-18) for the classification of weed and crop plants in UAV imagery is proposed. The target was to reach sufficient performance on an embedded system by maintaining the same features of the ResNet-18 model as a basis for fast UAV mapping. This would enable online recognition and subsequent mapping of weeds during UAV flying operation. Optimization was achieved mainly by avoiding redundant computations that arise when a classification model is applied on overlapping tiles in a larger input image. The model was trained and tested with imagery obtained from a UAV flight campaign at low altitude over a winter wheat field, and classification was performed on species level with the weed species Matricaria chamomilla L., Papaver rhoeas L., Veronica hederifolia L., and Viola arvensis ssp. arvensis observed in that field. The ResNet-18 model with the optimized image-level prediction pipeline reached a performance of 2.2 frames per second with an NVIDIA Jetson AGX Xavier on the full resolution UAV image, which would amount to about 1.78 ha h(-1) area output for continuous field mapping. The overall accuracy for determining crop, soil, and weed species was 94%. There were some limitations in the detection of species unknown to the model. When shifting from 16-bit to 32-bit model precision, no improvement in classification accuracy was observed, but a strong decline in speed performance, especially when a higher number of filters was used in the ResNet-18 model. Future work should be directed towards the integration of the mapping process on UAV platforms, guiding UAVs autonomously for mapping purpose, and ensuring the transferability of the models to other crop fields. KW - ResNet KW - deep residual networks KW - UAV imagery KW - embedded systems KW - crop KW - monitoring KW - image classification KW - site-specific weed management KW - real-time mapping Y1 - 2021 U6 - https://doi.org/10.3390/rs13091704 SN - 2072-4292 VL - 13 IS - 9 PB - MDPI CY - Basel ER - TY - JOUR A1 - Prieske, Olaf A1 - Chaabene, Helmi A1 - Kullmann, Niclas A1 - Granacher, Urs T1 - Effects of Individualized Versus Traditional Power Training on Strength, Power, Jump Performances, and Body Composition in Young Male Nordic Athletes JF - International journal of sports physiology and performance N2 - Purpose: This study aimed to examine the effects of individualized-load power training (IPT) versus traditional moderate-load power training (TPT) on strength, power, jump performance, and body composition in elite young Nordic athletes. Methods: In a randomized crossover design, 10 young male athletes (ski jumpers, Nordic combined athletes) age 17.5 (0.6) years (biological maturity status: +3.5 y postpeak height velocity) who competed on a national or international level performed 5 weeks of IPT (4 x 5 repetitions at 49%-72% 1-repetiton maximum [RM]) and TPT (5 x 5 repetitions at 50%-60% 1-RM) in addition to their regular training. Testing before, between, and after both training blocks comprised the assessment of muscle strength (loaded back squat 3-RM), power (maximal loaded back squat power), jump performance (eg, drop-jump height, reactive strength index), and body composition (eg, skeletal muscle mass). Results: Significant, large-size main effects for time were found for muscle strength (P < .01; g = 2.7), reactive strength index (P = .03; g= 1.6), and drop jump height (P = .02; g= 1.9) irrespective of the training condition (IPT, TPT). No significant time-by-condition interactions were observed. For measures of body composition, no significant main effects of condition and time or time-by-condition interactions were found. Conclusions: Our findings demonstrate that short-term IPT and TPT at moderate loads in addition to regular training were equally effective in improving measures of muscle strength (loaded back squat 3-RM) and vertical jump performance (reactive strength index, drop jump, and height) in young Nordic athletes. KW - ballistic training KW - optimal load KW - monitoring KW - progression KW - ski jumping Y1 - 2022 U6 - https://doi.org/10.1123/ijspp.2021-0074 SN - 1555-0265 SN - 1555-0273 VL - 17 IS - 4 SP - 541 EP - 548 PB - Human Kinetics Publ. CY - Champaign ER - TY - JOUR A1 - Prieske, Olaf A1 - Chaabene, Helmi A1 - Gäbler, Martijn A1 - Herz, Michael A1 - Helm, Norman A1 - Markov, Adrian A1 - Granacher, Urs T1 - Seasonal changes in anthropometry, body composition, and physical fitness and the relationships with sporting success in young sub-elite judo athletes BT - an exploratory study JF - International journal of environmental research and public health : IJERPH N2 - This exploratory study aimed to monitor long-term seasonal developments in measures of anthropometry, body composition, and physical fitness in young judo athletes, and to compute associations between these measures and sporting success. Forty-four young judoka (20 females, 24 males) volunteered to participate. Tests for the assessment of anthropometry (e.g., body height/mass), body-composition (e.g., lean body mass), muscle strength (isometric handgrip strength), vertical jumping (e.g., countermovement-jump (CMJ) height), and dynamic balance (Y-balance test) were conducted at the beginning and end of a 10-month training season. Additionally, sporting success at the end of the season was recorded for each athlete. Analyses revealed significant time x sex interaction effects for lean-body-mass, isometric handgrip strength, and CMJ height (0.7 <= d <= 1.6). Post-hoc analyses showed larger gains for all measures in young males (1.9 <= d <= 6.0) compared with females (d = 2.4) across the season. Additionally, significant increases in body height and mass as well as Y-balance test scores were found from pre-to-post-test (1.2 <= d <= 4.3), irrespective of sex. Further, non-significant small-to-moderate-sized correlations were identified between changes in anthropometry/body composition/physical fitness and sporting success (p > 0.05; -0.34 <= rho <= 0.32). Regression analysis confirmed that no model significantly predicted sporting success. Ten months of judo training and/or growth/maturation contributed to significant changes in anthropometry, body composition, and physical fitness, particularly in young male judo athletes. KW - combat sports KW - periodization KW - somatic variables KW - training load KW - training KW - monitoring KW - young athletes Y1 - 2020 U6 - https://doi.org/10.3390/ijerph17197169 SN - 1660-4601 VL - 17 IS - 19 PB - MDPI AG CY - Basel ER - TY - JOUR A1 - Schirrmann, Michael A1 - Landwehr, Niels A1 - Giebel, Antje A1 - Garz, Andreas A1 - Dammer, Karl-Heinz T1 - Early detection of stripe rust in winter wheat using deep residual neural networks JF - Frontiers in plant science : FPLS N2 - Stripe rust (Pst) is a major disease of wheat crops leading untreated to severe yield losses. The use of fungicides is often essential to control Pst when sudden outbreaks are imminent. Sensors capable of detecting Pst in wheat crops could optimize the use of fungicides and improve disease monitoring in high-throughput field phenotyping. Now, deep learning provides new tools for image recognition and may pave the way for new camera based sensors that can identify symptoms in early stages of a disease outbreak within the field. The aim of this study was to teach an image classifier to detect Pst symptoms in winter wheat canopies based on a deep residual neural network (ResNet). For this purpose, a large annotation database was created from images taken by a standard RGB camera that was mounted on a platform at a height of 2 m. Images were acquired while the platform was moved over a randomized field experiment with Pst-inoculated and Pst-free plots of winter wheat. The image classifier was trained with 224 x 224 px patches tiled from the original, unprocessed camera images. The image classifier was tested on different stages of the disease outbreak. At patch level the image classifier reached a total accuracy of 90%. To test the image classifier on image level, the image classifier was evaluated with a sliding window using a large striding length of 224 px allowing for fast test performance. At image level, the image classifier reached a total accuracy of 77%. Even in a stage with very low disease spreading (0.5%) at the very beginning of the Pst outbreak, a detection accuracy of 57% was obtained. Still in the initial phase of the Pst outbreak with 2 to 4% of Pst disease spreading, detection accuracy with 76% could be attained. With further optimizations, the image classifier could be implemented in embedded systems and deployed on drones, vehicles or scanning systems for fast mapping of Pst outbreaks. KW - yellow rust KW - monitoring KW - deep learning KW - wheat crops KW - image recognition KW - camera sensor KW - ResNet KW - smart farming Y1 - 2021 U6 - https://doi.org/10.3389/fpls.2021.469689 SN - 1664-462X VL - 12 PB - Frontiers Media CY - Lausanne ER - TY - GEN A1 - Coppalle, Sullivan A1 - Ravé, Guillaume A1 - Moran, Jason A1 - Salhi, Iyed A1 - Ben Abderrahman, Abderraouf A1 - Zouita, Sghaeir A1 - Granacher, Urs A1 - Zouhal, Hassane T1 - Internal and External Training Load in Under-19 versus Professional Soccer Players during the In-Season Period T2 - Postprints der Universität Potsdam : Humanwissenschaftliche Reihe N2 - This study aimed to compare the training load of a professional under-19 soccer team (U-19) to that of an elite adult team (EAT), from the same club, during the in-season period. Thirty-nine healthy soccer players were involved (EAT [n = 20]; U-19 [n = 19]) in the study which spanned four weeks. Training load (TL) was monitored as external TL, using a global positioning system (GPS), and internal TL, using a rating of perceived exertion (RPE). TL data were recorded after each training session. During soccer matches, players’ RPEs were recorded. The internal TL was quantified daily by means of the session rating of perceived exertion (session-RPE) using Borg’s 0–10 scale. For GPS data, the selected running speed intensities (over 0.5 s time intervals) were 12–15.9 km/h; 16–19.9 km/h; 20–24.9 km/h; >25 km/h (sprint). Distances covered between 16 and 19.9 km/h, > 20 km/h and >25 km/h were significantly higher in U-19 compared to EAT over the course of the study (p = 0.023, d = 0.243, small; p = 0.016, d = 0.298, small; and p = 0.001, d = 0.564, small, respectively). EAT players performed significantly fewer sprints per week compared to U-19 players (p = 0.002, d = 0.526, small). RPE was significantly higher in U-19 compared to EAT (p = 0.001, d = 0.188, trivial). The external and internal measures of TL were significantly higher in the U-19 group compared to the EAT soccer players. In conclusion, the results obtained show that the training load is greater in U19 compared to EAT. T3 - Zweitveröffentlichungen der Universität Potsdam : Humanwissenschaftliche Reihe - 694 KW - monitoring KW - global positioning system KW - elite athletes KW - academy KW - RPE Y1 - 2021 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-489745 SN - 1866-8364 IS - 694 ER - TY - JOUR A1 - Coppalle, Sullivan A1 - Ravé, Guillaume A1 - Moran, Jason A1 - Salhi, Iyed A1 - Ben Abderrahman, Abderraouf A1 - Zouita, Sghaeir A1 - Granacher, Urs A1 - Zouhal, Hassane T1 - Internal and External Training Load in Under-19 versus Professional Soccer Players during the In-Season Period JF - International Journal of Environmental Research and Public Health N2 - This study aimed to compare the training load of a professional under-19 soccer team (U-19) to that of an elite adult team (EAT), from the same club, during the in-season period. Thirty-nine healthy soccer players were involved (EAT [n = 20]; U-19 [n = 19]) in the study which spanned four weeks. Training load (TL) was monitored as external TL, using a global positioning system (GPS), and internal TL, using a rating of perceived exertion (RPE). TL data were recorded after each training session. During soccer matches, players’ RPEs were recorded. The internal TL was quantified daily by means of the session rating of perceived exertion (session-RPE) using Borg’s 0–10 scale. For GPS data, the selected running speed intensities (over 0.5 s time intervals) were 12–15.9 km/h; 16–19.9 km/h; 20–24.9 km/h; >25 km/h (sprint). Distances covered between 16 and 19.9 km/h, > 20 km/h and >25 km/h were significantly higher in U-19 compared to EAT over the course of the study (p = 0.023, d = 0.243, small; p = 0.016, d = 0.298, small; and p = 0.001, d = 0.564, small, respectively). EAT players performed significantly fewer sprints per week compared to U-19 players (p = 0.002, d = 0.526, small). RPE was significantly higher in U-19 compared to EAT (p = 0.001, d = 0.188, trivial). The external and internal measures of TL were significantly higher in the U-19 group compared to the EAT soccer players. In conclusion, the results obtained show that the training load is greater in U19 compared to EAT. KW - monitoring KW - global positioning system KW - elite athletes KW - academy KW - RPE Y1 - 2020 U6 - https://doi.org/10.3390/ijerph18020558 SN - 1660-4601 VL - 18 IS - 2 PB - MDPI AG CY - Basel ER - TY - GEN A1 - Chaabene, Helmi A1 - Prieske, Olaf A1 - Lesinski, Melanie A1 - Sandau, Ingo A1 - Granacher, Urs T1 - Short-term seasonal development of anthropometry, body composition, physical fitness, and sport-specific performance in young olympic weightlifters T2 - Postprints der Universität Potsdam : Humanwissenschaftliche Reihe N2 - The aim of this study is to monitor short-term seasonal development of young Olympic weightlifters’ anthropometry, body composition, physical fitness, and sport-specific performance. Fifteen male weightlifters aged 13.2 ± 1.3 years participated in this study. Tests for the assessment of anthropometry (e.g., body-height, body-mass), body-composition (e.g., lean-body-mass, relative fat-mass), muscle strength (grip-strength), jump performance (drop-jump (DJ) height, countermovement-jump (CMJ) height, DJ contact time, DJ reactive-strength-index (RSI)), dynamic balance (Y-balance-test), and sport-specific performance (i.e., snatch and clean-and-jerk) were conducted at different time-points (i.e., T1 (baseline), T2 (9 weeks), T3 (20 weeks)). Strength tests (i.e., grip strength, clean-and-jerk and snatch) and training volume were normalized to body mass. Results showed small-to-large increases in body-height, body-mass, lean-body-mass, and lower-limbs lean-mass from T1-to-T2 and T2-to-T3 (∆0.7–6.7%; 0.1 ≤ d ≤ 1.2). For fat-mass, a significant small-sized decrease was found from T1-to-T2 (∆13.1%; d = 0.4) and a significant increase from T2-to-T3 (∆9.1%; d = 0.3). A significant main effect of time was observed for DJ contact time (d = 1.3) with a trend toward a significant decrease from T1-to-T2 (∆–15.3%; d = 0.66; p = 0.06). For RSI, significant small increases from T1-to-T2 (∆9.9%, d = 0.5) were noted. Additionally, a significant main effect of time was found for snatch (d = 2.7) and clean-and-jerk (d = 3.1) with significant small-to-moderate increases for both tests from T1-to-T2 and T2-to-T3 (∆4.6–11.3%, d = 0.33 to 0.64). The other tests did not change significantly over time (0.1 ≤ d ≤ 0.8). Results showed significantly higher training volume for sport-specific training during the second period compared with the first period (d = 2.2). Five months of Olympic weightlifting contributed to significant changes in anthropometry, body-composition, and sport-specific performance. However, hardly any significant gains were observed for measures of physical fitness. Coaches are advised to design training programs that target a variety of fitness components to lay an appropriate foundation for later performance as an elite athlete. T3 - Zweitveröffentlichungen der Universität Potsdam : Humanwissenschaftliche Reihe - 685 KW - strength KW - monitoring KW - young athletes KW - weight training KW - somatic variables KW - periodization KW - training load Y1 - 2021 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-472609 SN - 1866-8364 IS - 685 ER - TY - GEN A1 - Ravé, Guillaume A1 - Granacher, Urs A1 - Boullosa, Daniel A1 - Hackney, Anthony C. A1 - Zouhal, Hassane T1 - How to Use Global Positioning Systems (GPS) Data to Monitor Training Load in the “Real World” of Elite Soccer T2 - Postprints der Universität Potsdam : Humanwissenschaftliche Reihe T3 - Zweitveröffentlichungen der Universität Potsdam : Humanwissenschaftliche Reihe - 663 KW - acute chronic workload ratio KW - injury risk KW - physical performance KW - monitoring KW - external training load Y1 - 2020 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-480558 SN - 1866-8364 IS - 663 ER - TY - JOUR A1 - Ravé, Guillaume A1 - Granacher, Urs A1 - Boullosa, Daniel A1 - Hackney, Anthony C. A1 - Zouhal, Hassane T1 - How to Use Global Positioning Systems (GPS) Data to Monitor Training Load in the “Real World” of Elite Soccer JF - Frontiers in Physiology KW - acute chronic workload ratio KW - injury risk KW - physical performance KW - monitoring KW - external training load Y1 - 2020 U6 - https://doi.org/10.3389/fphys.2020.00944 SN - 1664-042X VL - 11 PB - Frontiers Research Foundation CY - Lausanne ER - TY - JOUR A1 - Chaabene, Helmi A1 - Prieske, Olaf A1 - Lesinski, Melanie A1 - Sandau, Ingo A1 - Granacher, Urs T1 - Short-Term Seasonal Development of Anthropometry, Body Composition, Physical Fitness, and Sport-Specific Performance in Young Olympic Weightlifters JF - Sports KW - strength KW - monitoring KW - young athletes KW - weight training KW - somatic variables KW - periodization KW - training load Y1 - 2019 U6 - https://doi.org/10.3390/sports7120242 SN - 2075-4663 VL - 7 IS - 12 PB - MDPI CY - Basel ER - TY - JOUR A1 - Coppalle, Sullivan A1 - Rave, Guillaume A1 - Ben Abderrahman, Abderraouf A1 - Ali, Ajmol A1 - Salhi, Iyed A1 - Zouita, Sghaier A1 - Zouita, Amira A1 - Brughelli, Matt A1 - Granacher, Urs A1 - Zouhal, Hassane T1 - Relationship of Pre-season Training Load With In-Season Biochemical Markers, Injuries and Performance in Professional Soccer Players JF - Frontiers in Physiology N2 - There is controversy in the literature in regards of the link between training load and injury rate. Thus, the aims of this non-interventional study were to evaluate relationships between pre-season training load with biochemical markers, injury incidence and performance during the first month of the competitive period in professional soccer players. KW - elite athletes KW - global positioning system KW - monitoring KW - blood sample KW - football Y1 - 2019 U6 - https://doi.org/10.3389/fphys.2019.00409 SN - 1664-042X VL - 10 PB - Frontiers Research Foundation CY - Lausanne ER - TY - GEN A1 - Coppalle, Sullivan A1 - Rave, Guillaume A1 - Ben Abderrahman, Abderraouf A1 - Ali, Ajmol A1 - Salhi, Iyed A1 - Zouita, Sghaier A1 - Zouita, Amira A1 - Brughelli, Matt A1 - Granacher, Urs A1 - Zouhal, Hassane T1 - Relationship of Pre-season Training Load With In-Season Biochemical Markers, Injuries and Performance in Professional Soccer Players T2 - Postprints der Universität Potsdam Humanwissenschaftliche Reihe N2 - There is controversy in the literature in regards of the link between training load and injury rate. Thus, the aims of this non-interventional study were to evaluate relationships between pre-season training load with biochemical markers, injury incidence and performance during the first month of the competitive period in professional soccer players. T3 - Zweitveröffentlichungen der Universität Potsdam : Humanwissenschaftliche Reihe - 564 KW - football KW - global positioning system KW - blood sample KW - monitoring KW - elite athletes Y1 - 2019 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-436025 IS - 564 ER - TY - THES A1 - Wolf, Julia T1 - Schadenserkennung in Beton durch Überwachung mit eingebetteten Ultraschallprüfköpfen T1 - Monitoring with embedded ultrasound sensors to detect damage in concrete N2 - Die zerstörungsfreien Prüfungen von Bauwerken mit Hilfe von Ultraschallmessverfahren haben in den letzten Jahren an Bedeutung gewonnen. Durch Ultraschallmessungen können die Geometrien von Bauteilen bestimmt sowie von außen nicht sichtbare Fehler wie Delaminationen und Kiesnester erkannt werden. Mit neuartigen, in das Betonbauteil eingebetteten Ultraschallprüfköpfen sollen nun Bauwerke dauerhaft auf Veränderungen überprüft werden. Dazu werden Ultraschallsignale direkt im Inneren eines Bauteils erzeugt, was die Möglichkeiten der herkömmlichen Methoden der Bauwerksüberwachung wesentlich erweitert. Ein Ultraschallverfahren könnte mit eingebetteten Prüfköpfen ein Betonbauteil kontinuierlich integral überwachen und damit auch stetig fortschreitende Gefügeänderungen, wie beispielsweise Mikrorisse, registrieren. Sicherheitsrelevante Bauteile, die nach dem Einbau für Messungen unzugänglich oder mittels Ultraschall, beispielsweise durch zusätzliche Beschichtungen der Oberfläche, nicht prüfbar sind, lassen sich mit eingebetteten Prüfköpfen überwachen. An bereits vorhandenen Bauwerken können die Ultraschallprüfköpfe mithilfe von Bohrlöchern und speziellem Verpressmörtel auch nachträglich in das Bauteil integriert werden. Für Fertigbauteile bieten sich eingebettete Prüfköpfe zur Herstellungskontrolle sowie zur Überwachung der Baudurchführung als Werkzeug der Qualitätssicherung an. Auch die schnelle Schadensanalyse eines Bauwerks nach Naturkatastrophen, wie beispielsweise einem Erdbeben oder einer Flut, ist denkbar. Durch die gute Ankopplung ermöglichen diese neuartigen Prüfköpfe den Einsatz von empfindlichen Auswertungsmethoden, wie die Kreuzkorrelation, die Coda-Wellen-Interferometrie oder die Amplitudenauswertung, für die Signalanalyse. Bei regelmäßigen Messungen können somit sich anbahnende Schäden eines Bauwerks frühzeitig erkannt werden. Da die Schädigung eines Bauwerks keine direkt messbare Größe darstellt, erfordert eine eindeutige Schadenserkennung in der Regel die Messung mehrerer physikalischer Größen die geeignet verknüpft werden. Physikalische Größen können sein: Ultraschalllaufzeit, Amplitude des Ultraschallsignals und Umgebungstemperatur. Dazu müssen Korrelationen zwischen dem Zustand des Bauwerks, den Umgebungsbedingungen und den Parametern des gemessenen Ultraschallsignals untersucht werden. In dieser Arbeit werden die neuartigen Prüfköpfe vorgestellt. Es wird beschrieben, dass sie sich, sowohl in bereits errichtete Betonbauwerke als auch in der Konstruktion befindliche, einbauen lassen. Experimentell wird gezeigt, dass die Prüfköpfe in mehreren Ebenen eingebettet sein können da ihre Abstrahlcharakteristik im Beton nahezu ungerichtet ist. Die Mittenfrequenz von rund 62 kHz ermöglicht Abstände, je nach Betonart und SRV, von mindestens 3 m zwischen Prüfköpfen die als Sender und Empfänger arbeiten. Die Empfindlichkeit der eingebetteten Prüfköpfe gegenüber Veränderungen im Beton wird an Hand von zwei Laborexperimenten gezeigt, einem Drei-Punkt-Biegeversuch und einem Versuch zur Erzeugung von Frost-Tau-Wechsel Schäden. Die Ergebnisse werden mit anderen zerstörungsfreien Prüfverfahren verglichen. Es zeigt sich, dass die Prüfköpfe durch die Anwendung empfindlicher Auswertemethoden, auftretende Risse im Beton detektieren, bevor diese eine Gefahr für das Bauwerk darstellen. Abschließend werden Beispiele von Installation der neuartigen Ultraschallprüfköpfe in realen Bauteilen, zwei Brücken und einem Fundament, gezeigt und basierend auf dort gewonnenen ersten Erfahrungen ein Konzept für die Umsetzung einer Langzeitüberwachung aufgestellt. N2 - The non-destructive testing of concrete structures with the ultrasound method has become increasingly important in recent years. With the ultrasound technique the geometry of concrete elements can be determined and defects can be detected which are not visible on the surface, such as delaminations and honeycombs. New ultrasound sensors were developed to monitor changes in concrete structures continuously and permanently. Those ultrasound sensors will be embedded into the concrete to transmit and receive ultrasound waves within the structure. This allows a new interpretation of the condition of a structure. The use of the embedded sensors expands the options of the traditional monitoring methods. The ultrasonic technique could monitor a voluminous part of a concrete structure continuously and integral with just a few strategically placed embedded ultrasound sensors and thus register small changes in the concretes texture. Vital parts of concrete structures which are inaccessible for the ultrasonic method after construction can be monitored with embedded sensors. Inaccessibility could be caused by a surface layered with a medium reflecting or absorbing the ultrasonic wave or by to much steel obstruct"-ing the waves path. The sensors can be embedded into existing structures using boreholes and grouting mortar or installed during construction and can thus serve as a tool for quality control. The quick damage evaluation of a construction after a natural disaster such as an earthquake or a flood, is conceivable as well. As the contact between the embedded sensors and the surrounding concrete is assumed as constant over a long time, highly sensitive signal evaluation tools, such as the cross correlation between signals, the Coda Wave Interferometry and the amplitude evaluation, can be used. Therefore, with regular measurements, damage in a construction can be detected at an early stage. But, the damage of a structure can not be measured directly. A distinct damage detection needs a quantity of measured parameters, such as time of flight and amplitude of the ultrasonic wave as well as temperature, which need to be linked to each other. To achieve this, correlations between the state of the concrete construction and those parameters of the measured ultrasonic signal must be investigated. In this work the newly developed ultrasound sensors are introduced. Their installation into a concrete structure is described. The sensors sensitivity to small changes in the concrete is investigated and compared to other Non Destructive Testing (NDT) methods. The highly sensitive signal evaluation tools proof to be particularly advantageous when using embedded sensors. Installations of embedded ultrasound sensors for long time monitoring of real constructions are presented. Based on the gained experience with those installations a concept is presented for the set up of a long time monitoring system. KW - Ultraschall KW - Beton KW - Überwachung KW - Prüfköpfe KW - Temperatur KW - Frost-Tau-Wechsel KW - Schaden KW - Riss KW - ultrasound KW - concrete KW - monitoring KW - sensors KW - temperature KW - Freeze-Thaw-Cycles KW - damage KW - crack Y1 - 2017 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-397363 ER - TY - JOUR A1 - Heine, Iris A1 - Francke, Till A1 - Rogass, Christian A1 - Medeiros, Pedro Henrique Augusto A1 - Bronstert, Axel A1 - Förster, Saskia T1 - Monitoring seasonal changes in the water surface areas of reservoirs using TerraSAR-X time series data in semiarid northeastern Brazil JF - IEEE journal of selected topics in applied earth observations and remote sensing N2 - The 933 km(2) Bengue catchment in northeastern Brazil is characterized by distinct rainy and dry seasons. Precipitation is stored in variously sized reservoirs, which is essential for the local population. In this study, we used TerraSAR-X SM(HH) data for an one-year monitoring of seasonal changes in the reservoir areas from July 2011 to July 2012. The monitoring was based on acquisitions in the ascending pass direction, complemented by occasional descending-pass images. To detect water surface areas, a histogram analysis followed by a global threshold classification was performed, and the results were validated using in situ GPS data. Distinguishing between small reservoirs and similar looking dark areas was difficult. Therefore, we tested several approaches for identifying misclassified areas. An analysis of the surface area dynamics of the reservoirs indicated high spatial and temporal heterogeneities and a large decrease in the total water surface area of the reservoirs in the catchment by approximately 30% within one year. KW - Image classification KW - monitoring KW - radar imaging KW - remote sensing KW - synthetic aperture radar (SAR) Y1 - 2014 U6 - https://doi.org/10.1109/JSTARS.2014.2323819 SN - 1939-1404 SN - 2151-1535 VL - 7 IS - 8 SP - 3190 EP - 3199 PB - Inst. of Electr. and Electronics Engineers CY - Piscataway ER - TY - JOUR A1 - Rohner, Fabian A1 - Frey, Simone K. A1 - Mothes, Ralf A1 - Hurtienne, Andrea A1 - Hartong, Simone A1 - Bosso, Patrice Emery A1 - Bui, Mai A1 - Schweigert, Florian J. A1 - Northrop-Clewes, Christine T1 - Quantification of vitamin A in palm oil using a fast and simple portable device method validation and comparison to high-performance liquid chromatography JF - International journal for vitamin and nutrition research N2 - Vitamin A deficiency continues to be a global public health problem. Fortification of oil with vitamin A is considered a cost-effective, feasible strategy to prevent this problem but quality control poses a challenge to program implementation. To overcome this, we have validated a newly developed device that quantitatively measures the content of retinyl palmitate in refined palm oil, is simple to use, and yields immediate results. Linearity of analysis rand from 2.5-30 mg retinol equivalents (RE)/kg of palm oil, with 2.5 mg RE/kg being the determination limit; inter- and intra-assay precision ranged from 1.4-7.1 To. Comparison with a high-performance Liquid chromatography method showed high agreement between the methods (R-2 = 0.92; Limits of Agreement: -1.24 mg to 2.53 mg RE/kg), and further comparisons illustrate that the new device is useful in low resource settings. This device offers a field- and user-friendly solution to quantifying the vitamin A content in refined palm oil. KW - Vitamin A KW - retinyl palmitate KW - fortification KW - monitoring KW - rapid test kit KW - palm oil Y1 - 2011 U6 - https://doi.org/10.1024/0300-9831/a000081 SN - 0300-9831 VL - 81 IS - 5 SP - 335 EP - 342 PB - Hogrefe CY - Bern ER - TY - JOUR A1 - Rohner, Fabian A1 - Garrett, Greg S. A1 - Laillou, Arnaud A1 - Frey, Simone K. A1 - Mothes, Ralf A1 - Schweigert, Florian J. A1 - Locatelli-Rossi, Lorenzo T1 - Validation of a user-friendly and rapid method for quantifying iodine content of salt JF - Food and nutrition bulletin N2 - Background. Despite considerable progress made in the past decade through salt iodization programs, over 2 billion people worldwide still have inadequate iodine intake, with devastating consequences for brain development and intellectual capacity. To optimize these programs with regard to salt iodine content, careful monitoring of salt iodine content is essential, but few methods are available to quantitatively measure iodine concentration in a simple, fast, and safe way. Objective. We have validated a newly developed device that quantitatively measures the content of potassium iodate in salt in a simple, safe, and rapid way. Methods. The linearity, determination and detection limit, and inter- and intra-assay variability of this colorimetric method were assessed and the method was compared with iodometric titration, using salt samples from several countries. Results. Linearity of analysis ranged from 5 to 75 mg/kg iodine, with I mg/kg being the determination limit; the intra- and interassay imprecision was 0.9%, 0.5%, and 0.7% and 1.5%, 1.7%, and 2.5% for salt samples with iodine contents of 17, 30, and 55 mg/kg, respectively; the interoperator imprecision for the same samples was 1.2%, 4.9%, and 4.7%, respectively. Comparison with the iodometric method showed high agreement between the methods (R-2 = 0.978; limits of agreement, -10.5 to 10.0 mg/kg). Conclusions. The device offers a field- and user-friendly solution to quantifying potassium iodate salt content reliably. For countries that use potassium iodide in salt iodization programs, further validation is required. KW - Iodization KW - iodine KW - monitoring KW - potassium iodate KW - quality control KW - rapid test kit KW - regulatory monitoring KW - salt Y1 - 2012 SN - 0379-5721 VL - 33 IS - 4 SP - S330 EP - S335 PB - International Nutrition Foundation CY - Boston ER - TY - BOOK ED - Baumgraß, Anne ED - Meyer, Andreas ED - Weske, Mathias T1 - Proceedings of the Master seminar on event processing systems for business process management systems T1 - Berichte des Masterseminars über Systeme zur Ereignisverarbeitung im Bereich des Geschäftsprozessmanagements N2 - Traditionally, business process management systems only execute and monitor business process instances based on events that originate from the process engine itself or from connected client applications. However, environmental events may also influence business process execution. Recent research shows how the technological improvements in both areas, business process management and complex event processing, can be combined and harmonized. The series of technical reports included in this collection provides insights in that combination with respect to technical feasibility and improvements based on real-world use cases originating from the EU-funded GET Service project – a project targeting transport optimization and green-house gas reduction in the logistics domain. Each report is complemented by a working prototype. This collection introduces six use cases from the logistics domain. Multiple transports – each being a single process instance – may be affected by the same events at the same point in time because of (partly) using the same transportation route, transportation vehicle or transportation mode (e.g. containers from multiple process instances on the same ship) such that these instances can be (partly) treated as batch. Thus, the first use case shows the influence of events to process instances processed in a batch. The case of sharing the entire route may be, for instance, due to origin from the same business process (e.g. transport three containers, where each is treated as single process instance because of being transported on three trucks) resulting in multi-instance process executions. The second use case shows how to handle monitoring and progress calculation in this context. Crucial to transportation processes are frequent changes of deadlines. The third use case shows how to deal with such frequent process changes in terms of propagating the changes along and beyond the process scope to identify probable deadline violations. While monitoring transport processes, disruptions may be detected which introduce some delay. Use case four shows how to propagate such delay in a non-linear fashion along the process instance to predict the end time of the instance. Non-linearity is crucial in logistics because of buffer times and missed connection on intermodal transports (a one-hour delay may result in a missed ship which is not going every hour). Finally, use cases five and six show the utilization of location-based process monitoring. Use case five enriches transport processes with real-time route and traffic event information to improve monitoring and planning capabilities. Use case six shows the inclusion of spatio-temporal events on the example of unexpected weather events. N2 - Traditionell basiert die Ausführung und Überwachung von Prozessinstanzen durch Business Process Management Systeme auf Ereignissen, die von der Prozessengine selbst oder aus damit verbundenen Applikationen stammen. Allerdings können weitere Einflüsse aus der Umgebung die Ausführung ebenfalls beeinflussen. Hierzu zeigen aktuelle Forschungsarbeiten wie Geschäftsprozessmanagement und Ereignisverarbeitung zusammengebracht werden können. Die technischen Reports als Teil dieses Sammelbandes zeigen die technische Machbarkeit dieser Kombination und daraus resultierende Verbesserungen basierend auf echten Anwendungsfällen aus dem EU-geförderten GET Service Forschungsprojekt, ein Projekt mit dem Ziel Transportprozesse zu optimieren und CO2-Emissionen zu reduzieren. Jeder Anwendungsfall wird mit einem lauffähigen Prototyp evaluiert. Dieser Sammelband umfasst sechs Anwendungsfälle aus dem Bereich der Logistik. Mehrere Transporte – jeder hiervon ist eine eigene Prozessinstanz – können durch die gleichen Ereignisse beeinflusst werden, wenn sie (teilweise) die gleiche Transportroute, Transportvehikel oder Transportmodalität verwenden, so dass diese Instanzen (teilweise) kombiniert ausgeführt werden können – als Batch (z.B. mehrere Container auf dem gleichen Schiff). Daher zeigt der erste Anwendungsfall den Einfluss von Ereignissen auf Prozessinstanzen, die als Batch ausgeführt werden. Eine Übereinstimmung der Route kann auch auf die Korrelation zum gleichen Geschäftsprozess zurückgeführt werden (z.B. Transport von drei Containern auf drei LKWs). Dies führt zu Multi-Instanz-Ausführungen. Der zweite Anwendungsfall zeigt wie Transportüberwachung und Prozessfortschrittsberechnung in diesem Kontext aussehen können. In Transportprozessen treten oftmals kurzfristige Änderungen von Deadlines auf. Anwendungsfall drei zeigt wie die Überwachung in diesen Fällen verbessert werden kann. Die Deadline-Änderungen werden entlang der Prozesskette und über den Kontext eines Prozesses hinausgetragen, um etwaige Deadline-Verstöße zu identifizieren. Während der Überwachung von Transportprozessen lassen sich Störungen identifizieren, welche Verzögerungen nach sich ziehen können. Anwendungsfall vier zeigt wie solche Verzögerungen nichtlinear über die Transportkette propagiert werden können, um den Abschluss der Prozessinstanz vorherzusagen. Aufgrund von Pufferzeiten und dem Verpassen eines Anschlusses auf intermodalen Transporten in der Logistik ist hierbei die nichtlineare Verbreitung der Verzögerung besonders wichtig. Eine Verzögerung von einer Stunde kann zum Verpassen eines Schiffes führen, welches wiederum nicht stündlich die benötigte Strecke zurücklegt. Abschließend zeigen die Anwendungsfälle fünf und sechs die Verwendung von ortsbasierter Prozessüberwachung. Anwendungsfall fünf reichert den Transportprozess mit Echtzeitinformationen über Routen und Verkehr an, um Überwachungs- und Planungsaktivitäten zu verbessern. Anwendungsfall sechs zeigt die Einbindung von Ereignissen auf räumlich-zeitlicher Ebene am Beispiel von unerwarteten Wetterereignissen. T3 - Technische Berichte des Hasso-Plattner-Instituts für Digital Engineering an der Universität Potsdam - 102 KW - BPM KW - CEP KW - monitoring KW - business processes KW - events KW - batch processing KW - multi-instances KW - deadline propagation KW - delay propagation KW - location-based KW - BPM KW - CEP KW - Überwachung KW - Geschäftsprozesse KW - Ereignisse KW - Batchprozesse KW - Multi-Instanzen KW - Deadline-Verbreitung KW - Verzögerungs-Verbreitung KW - orts-basiert Y1 - 2015 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-83819 SN - 978-3-86956-347-3 SN - 1613-5652 SN - 2191-1665 IS - 102 PB - Universitätsverlag Potsdam CY - Potsdam ER - TY - THES A1 - Haßler, Sibylle Kathrin T1 - Saturated hydraulic conductivity in the humid tropics : sources of variability, implications for monitoring and effects on near-surface hydrological flow paths T1 - Quellen der Variabilität der gesättigten hydraulischen Leitfähigkeit in den humiden Tropen, ihre Bedeutung für die Beprobung der Leitfähigkeit und ihre Auswirkungen auf bodennahe hydrologische Fließpfade N2 - Large areas in the humid tropics are currently undergoing land-use change. The decrease of tropical rainforest, which is felled for land clearing and timber production, is countered by increasing areas of tree plantations and secondary forests. These changes are known to affect the regional water cycle as a result of plant-specific water demand and by influencing key soil properties which determine hydrological flow paths. One of these key properties sensitive to land-use change is the saturated hydraulic conductivity (Ks) as it governs vertical percolation of water within the soil profile. Low values of Ks in a certain soil depth can form an impeding layer and lead to perched water tables and the development of predominantly lateral flow paths such as overland flow. These processes can induce nutrient redistribution, erosion and soil degradation and thus affect ecosystem services and human livelihoods. Due to its sensitivity to land-use change, Ks is commonly used to assess the associated changes in hydrological flow paths. The objective of this dissertation was to assess the effect of land-use change on hydrological flow paths by analysing Ks as indicator variable. Sources of Ks variability, their implications for Ks monitoring and the relationship between Ks and near-surface hydrological flow paths in the context of land-use change were studied. The research area was located in central Panama, a country widely experiencing the abovementioned changes in land use. Ks is dependent on both static, soil-inherent properties such as particle size and clay mineralogy and dynamic, land use-dependent properties such as organic carbon content. By conducting a pair of studies with one of these influences held constant in each, the importance of static and dynamic properties for Ks was assessed. Applying a space-for-time approach to sample Ks under secondary forests of different age classes on comparable soils, a recovery of Ks from the former pasture use was shown to require more than eight years. The process was limited to the 0−6 cm sampling depth and showed large variability among replicates. A wavelet analysis of a Ks transect crossing different soil map units under comparable land cover, old-growth tropical rainforest, showed large small-scale variability, which was attributed to biotic influences, as well as a possible but non-conclusive influence of soil types. The two results highlight the importance of dynamic, land use-dependent influences on Ks. Monitoring studies can help to quantify land use-induced change of Ks, but there is a variety of sampling designs which differ in efficiency of estimating mean Ks. A comparative study of four designs and their suitability for Ks monitoring is used to give recommendations about designing a Ks monitoring scheme. Quantifying changes in spatial means of Ks for small catchments with a rotational stratified sampling design did not prove to be more efficient than Simple Random Sampling. The lack of large-scale spatial structure prevented benefits of stratification, and large small-scale variability resulting from local biotic processes and artificial effects of destructive sampling caused a lack of temporal consistency in the re-sampling of locations, which is part of the rotational design. The relationship between Ks and near-surface hydrological flow paths is of critical importance when assessing the consequences of land-use change in the humid tropics. The last part of this dissertation aimed at disclosing spatial relationships between Ks and overland flow as influenced by different land cover types. The effects of Ks on overland-flow generation were spatially variable, different between planar plots and incised flowlines and strongly influenced by land-cover characteristics. A simple comparison of Ks values and rainfall intensities was insufficient to describe the observed pattern of overland flow. Likewise, event flow in the stream was apparently not directly related to overland flow response patterns within the catchments. The study emphasises the importance of combining pedological, hydrological, meteorological and botanical measurements to comprehensively understand the land use-driven change in hydrological flow paths. In summary, Ks proved to be a suitable parameter for assessing the influence of land-use change on soils and hydrological processes. The results illustrated the importance of land cover and spatial variability of Ks for decisions on sampling designs and for interpreting overland-flow generation. As relationships between Ks and overland flow were shown to be complex and dependent on land cover, an interdisciplinary approach is required to comprehensively understand the effects of land-use change on soils and near-surface hydrological flow paths in the humid tropics. N2 - Tropische Regionen sind einem andauernden Landnutzungswandel unterworfen. Einerseits wird tropischer Regenwald für Holz- und Flächengewinnung abgeholzt, andererseits fallen Flächen im Zuge der Urbanisierung brach. Diese werden zum Teil mit Nutzholz-Plantagen aufgeforstet, zum Teil entwickelt sich auf ihnen natürlicher Sekundärwald. Änderungen in der Landnutzung beeinflussen Bodeneigenschaften und dadurch implizit den Wasserkreislauf der Region. Eine dieser wichtigen landnutzungsabhängigen Bodeneigenschaften ist die gesättigte hydraulische Leitfähigkeit oder Permeabilität, die maßgeblich die Versickerungsrate im Boden bestimmt. Eine niedrige Permeabilität hemmt die (vertikale) Versickerung und kann dazu führen, dass laterale hydrologische Fließpfade wie z.B. Oberflächenabfluss aktiviert werden. Dadurch wird sowohl die Bodenerosion und Nährstoffverlagerung verstärkt als auch die Auffüllung des Grundwasserspeichers verringert. In welchem Maße jedoch die Änderung der Permeabilität während des Landnutzungswandels eine Änderung der hydrologischen Fließpfade nach sich zieht, ist noch unzureichend erforscht. Die Zielstellung der vorliegenden Dissertation war, mit Hilfe der Permeabilität als Indikatorvariable die Auswirkungen des Landnutzungswandels auf bodennahe hydrologische Fließpfade zu beurteilen. Dabei sollten die Quellen der Variabilität der Permeabilität anhand des Einflusses von Bodentyp und Landnutzung eingeschätzt, diese Variabilität in das Design einer Probenahmestrategie für die Permeabilität integriert und die Auswirkungen dieser Einflüsse auf die Aktivierung lateraler Fließpfade untersucht werden. Die Studien wurden in Panama durchgeführt, da dieses Land stark vom Landnutzungswandel betroffen ist, eine gute Forschungsinfrastruktur aufweist und sich durch die hohen Niederschläge des tropischen Klimas Änderungen im Wasserkreislauf besonders stark auswirken. Zwei Teilstudien zu den Quellen der Variabilität der Permeabilität lieferten Hinweise auf einen möglichen Einfluss des Bodentyps, der jedoch durch den lokal stärkeren Einfluss der Landnutzung überprägt wurde. Auf regionaler Skala wurde die Erholung der Permeabilität unter Sekundärwald nach einer vorhergehenden Weidenutzung belegt. Beide Studien deuteten auf einen maßgeblichen Einfluss der Landnutzung und der räumlichen Struktur der Permeabilität auf die untersuchten Prozesse hin. Für die effiziente Abschätzung zeitlicher Veränderungen der Permeabilität, wie sie im Zuge des Landnutzungswandels auftritt, ist die Einbeziehung dieser räumlichen Strukturen in das Design einer Probenahmestrategie für die Permeabilität von großer Bedeutung, wie in einem Vergleich vier verschiedener Designs gezeigt wurde. Der Zusammenhang zwischen der Permeabilität und der Entstehung von Oberflächenabfluss konnte nicht durch einfache Ansätze, wie dem Vergleich der Permeabilität mit Regenintensitäten oder der Betrachtung des Gebietsabflusses, erklärt werden. Vielmehr scheint ein komplexes Zusammenspiel aus meteorologischen, biologischen, bodenkundlichen und hydrologischen Faktoren zu wirken. So wurde die räumliche Struktur des Oberflächenabflusses im Untersuchungsgebiet vermutlich durch eine Kombination aus Landnutzungs- und Permeabilitäts-Einflüssen bedingt, zu deren Aufklärung weitere notwendige Messungen vorgeschlagen werden. Zusammengefasst konnte anhand der Permeabilität der Einfluss des Landnutzungswandels auf die hydrologischen Fließpfade gut aufgezeigt werden. Eine besondere Bedeutung kommt hierbei der Betrachtung der landnutzungsabhängigen räumlichen Struktur der Permeabilität zu. Für die Prozessaufklärung der Aktivierung lateraler Fließpfade müssen jedoch Messungen aus verschiedenen Disziplinen kombiniert werden. KW - Bodenhydrologie KW - Landnutzungswandel KW - Tropen KW - Probenahmestrategie KW - hydrologische Fließpfade KW - Soil hydrology KW - land-use change KW - tropics KW - monitoring KW - hydrological flow paths Y1 - 2013 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus-66864 ER - TY - THES A1 - Schorling, Markus T1 - Ökologische und phytomedizinische Untersuchungen zum Anbau von Bt-Mais im Maiszünsler-Befallsgebiet Oderbruch T1 - Ecological and phytomedical investigations on Bt maize grown in the European corn borer (Ostrinia nubilalis) infested area in the Oderbruch region (Germany) N2 - In den letzten 20 Jahren hat sich der Maiszünsler (Ostrinia nubilalis HÜBNER), aus der Schmetterlingsfamilie der Pyralidae oder Zünsler, zum bedeutendsten tierischen Schädling des Maises (Zea mays) entwickelt. Eine Möglichkeit den Befall des Maiszünslers abzuwenden, bietet der Anbau von Bacillus thuringiensis-Mais (Bt-Mais). Mit Hilfe der Gentechnik wurden Gene des Bakteriums Bacillus thuringiensis übertragen, die einen für Fraßinsekten giftigen Wirkstoff bilden, wodurch die Pflanzen während der kompletten Vegetation vor den Larven des Maiszünslers geschützt sind. Ziel des vorliegenden Projektes war es, in einer 3-jährigen Studie die Auswirkungen des großflächigen Anbaus von Bt-Mais auf die ökologische Situation und den Handlungsrahmen des integrierten Pflanzenschutzes komplex zu untersuchen. Dazu wurden in Betrieben im Oderbruch, das als permanentes Befallsgebiet des Maiszünslers gilt, in den Jahren 2002 bis 2004 jährlich zwei Felder mit jeweils einer Bt-Sorte und einer konventionellen Sorte angelegt. Zusätzlich wurden biologische und chemische Maiszünsler-Bekämpfungsvarianten geprüft. Durch verschiedene Methoden wie Bonituren, Ganzpflanzenernten, Bodenfallenfänge und Beobachtungen des Wahlverhaltens von (Flug-)insekten konnten Aussagen zum Vorkommen von Insekten und Spinnentieren getroffen werden, wobei hierfür Daten aus Untersuchungen der Jahre 2000 und 2001 im Oderbruch ergänzend herangezogen werden konnten. Durch Ertragsmessungen, Energie- und Qualitätsermittlungen, sowie Fusarium- und Mykotoxinanalysen konnte der Anbau von Bt-Mais als neue Alternative zur Bekämpfung des Maiszünslers bewertet werden. Bezüglich des Auftretens von Insekten und Spinnentieren wurden im Mittel der fünfjährigen Datenerhebung beim Vergleich der Bt-Sorte zur konventionellen Sorte, mit Ausnahme der fast 100 %igen Bekämpfung des Maiszünslers, keine signifikanten Unterschiede festgestellt. Hierfür wurde ein besonderes Augenmerk auf Thripse, Wanzen, Blattläuse und deren Fraßfeinde, sowie mittels Bodenfallenfängen auf Laufkäfer und Spinnen gerichtet. Die erwarteten ökonomischen Vorteile wie etwa Ertragsplus oder bessere Nährstoff- und Energiegehalte durch geringeren Schaden beim Anbau von Bt-Mais als Silomais blieben in den Untersuchungsjahren aus. Allerdings zeigten Fusarium- und Mykotoxinanalysen eine geringere Belastung des Bt-Maises, was möglicherweise auf den geringeren Schaden zurückzuführen ist, da beschädigte Pflanzen für Fusarium und Mykotoxine anfälliger sind. Desweiteren konnten erste methodische Ansätze für ein auf EU-Ebene gefordertes, den Anbau von Bt-Mais begleitendes Monitoring, erarbeitet werden. So konnten Vorschläge für geeignete Methoden, deren Umfang sowie des Zeitpunktes der Durchführungen gemacht werden. N2 - In the last 20 years the European corn borer (Ostrinia nubilalis, Pyralidae) has become the most important pest in maize (Zea mays). One of a couple of possibilities to reduce the infestation by the European corn borer is the cultivation of Bacillus thuringiensis maize (Bt maize). Genetic engineering transmitted genes from Bacillus thuringiensis, which produce a substance that is toxic to feeding insects and thus protect plants against the larvae of the European corn borer during the whole vegetation. The present project is a 3-year study to identify the effects of Bt maize growing on the ecological situation and the possibilities of integrated plant protection. From 2002 to 2004, two fields in the Oderbruch region, where Ostrinia nubilalis occurs, were each planted with Bt maize and a conventional maize variety every year. Furthermore, a biological and a chemical strategy against the European corn borer were verified. Different methods like counts, harvest of whole plants, pitfall traps and observation the landing behaviour of flying insects were used to determine the abundance of insects and spiders. Furthermore, we could use additional data from studies obtained in the Oderbruch region in 2000 and 2001. The determination of yield, quality and energy content of the crops as well as of the degree of Fusarium infection and contamination by mycotoxins led to the conclusion that the cultivation of Bt maize is a new alternative strategy to control the European corn borer. The average occurrence of insects and spiders did not differ significantly between Bt maize and the conventional variety in the 5 years of data recording. The only exception is the almost total control of the European corn borer. Attention was especially paid to thrips, bugs, aphids and their feeding enemies and using ground traps to ground beetles and spiders. The expected economic benefits like increased yield or nutrient and energy content of the crop as a result of a minimized damage to silage Bt maize were not achieved in the years under investigation. However, the analysis of Fusarium and mycotoxins indicated a lower exposure of Bt maize, which may result from a lower damage caused by Ostrinia nubilalis, and damaged plants are more susceptible to Fusarium and mycotoxins. Furthermore, we developed a first methodological approach for the monitoring procedure of Bt maize growing required by the EU. We have made proposals on appropriate methods, their extent as well as the optimum time of their application. KW - Maiszünsler KW - Oderbruch KW - Monitoring KW - Gentechnologie KW - Biodiversität KW - Bt-Mais KW - Bt maize KW - European corn borer KW - Ostrinia nubilalis KW - genetic engineering KW - monitoring Y1 - 2005 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus-6260 ER - TY - THES A1 - Ohrnberger, Matthias T1 - Continuous automatic classification of seismic signals of volcanic origin at Mt. Merapi, Java, Indonesia N2 - Aufgrund seiner nahezu kontinuierlichen eruptiven Aktivität zählt der Merapi zu den gefährlichsten Vulkanen der Welt. Der Merapi befindet sich im Zentralteil der dicht bevölkerten Insel Java (Indonesien). Selbst kleinere Ausbrüche des Merapi stellen deswegen eine große Gefahr für die ansässige Bevölkerung in der Umgebung des Vulkans dar. Die am Merapi beobachtete enge Korrelation zwischen seismischer und vulkanischer Aktivität erlaubt es, mit Hilfe der Überwachung der seismischen Aktivität Veränderungen des Aktivitätszustandes des Merapi zu erkennen. Ein System zur automatischen Detektion und Klassifizierung seismischer Ereignisse liefert einen wichtigen Beitrag für die schnelle Analyse der seismischen Aktivität. Im Falle eines bevorstehenden Ausbruchszyklus bedeutet dies ein wichtiges Hilfsmittel für die vor Ort ansässigen Wissenschaftler. In der vorliegenden Arbeit wird ein Mustererkennungsverfahren verwendet, um die Detektion und Klassifizierung seismischer Signale vulkanischen Urprunges aus den kontinuierlich aufgezeichneten Daten in Echtzeit zu bewerkstelligen. Der hier verwendete A nsatz der hidden Markov Modelle (HMM) wird motiviert durch die große Ähnlichkeit von seismischen Signalen vulkanischen Ursprunges und Sprachaufzeichnungen und den großen Erfolg, den HMM-basierte Erkennungssysteme in der automatischen Spracherkennung erlangt haben. Für eine erfolgreiche Implementierung eines Mustererkennungssytems ist es notwendig, eine geeignete Parametrisierung der Rohdaten vorzunehmen. Basierend auf den Erfahrungswerten seismologischer Observatorien wird ein Vorgehen zur Parametrisierung des seismischen Wellenfeldes auf Grundlage von robusten Analyseverfahren vorgeschlagen. Die Wellenfeldparameter werden pro Zeitschritt in einen reell-wertigen Mustervektor zusammengefasst. Die aus diesen Mustervektoren gebildete Zeitreihe ist dann Gegenstand des HMM-basierten Erkennungssystems. Um diskrete hidden Markov Modelle (DHMM) verwenden zu können, werden die Mustervektoren durch eine lineare Transformation und nachgeschaltete Vektor Quantisierung in eine diskrete Symbolsequenz überführt. Als Klassifikator kommt eine Maximum-Likelihood Testfunktion zwischen dieser Sequenz und den, in einem überwachten Lernverfahren trainierten, DHMMs zum Einsatz. Die am Merapi kontinuierlich aufgezeichneten seismischen Daten im Zeitraum vom 01.07. und 05.07.1998 sind besonders für einen Test dieses Klassifikationssystems geeignet. In dieser Zeit zeigte der Merapi einen rapiden Anstieg der Seismizität kurz bevor dem Auftreten zweier Eruptionen am 10.07. und 19.07.1998. Drei der bekannten, vom Vulkanologischen Dienst in Indonesien beschriebenen, seimischen Signalklassen konnten in diesem Zeitraum beobachtet werden. Es handelt sich hierbei um flache vulkanisch-tektonische Beben (VTB, h < 2.5 km), um sogenannte MP-Ereignisse, die in direktem Zusammenhang mit dem Wachstum des aktiven Lavadoms gebracht werden, und um seismische Ereignisse, die durch Gesteinslawinen erzeugt werden (lokaler Name: Guguran). Die spezielle Geometrie des digitalen seismischen Netzwerkes am Merapi besteht aus einer Kombination von drei Mini-Arrays an den Flanken des Merapi. Für die Parametrisierung des Wellenfeldes werden deswegen seismische Array-Verfahren eingesetzt. Die individuellen Wellenfeld Parameter wurden hinsichtlich ihrer Relevanz für den Klassifikationsprozess detailliert analysiert. Für jede der drei Signalklassen wurde ein Satz von DHMMs trainiert. Zusätzlich wurden als Ausschlussklassen noch zwei Gruppen von Noise-Modellen unterschieden. Insgesamt konnte mit diesem Ansatz eine Erkennungsrate von 67 % erreicht werden. Im Mittel erzeugte das automatische Klassifizierungssystem 41 Fehlalarme pro Tag und Klasse. Die Güte der Klassifikationsergebnisse zeigt starke Variationen zwischen den individuellen Signalklassen. Flache vulkanisch-tektonische Beben (VTB) zeigen sehr ausgeprägte Wellenfeldeigenschaften und, zumindest im untersuchten Zeitraum, sehr stabile Zeitmuster der individuellen Wellenfeldparameter. Das DHMM-basierte Klassifizierungssystem erlaubte für diesen Ereignistyp nahezu 89% richtige Entscheidungen und erzeugte im Mittel 2 Fehlalarme pro Tag. Ereignisse der Klassen MP und Guguran sind mit dem automatischen System schwieriger zu erkennen. 64% aller MP-Ereignisse und 74% aller Guguran-Ereignisse wurden korrekt erkannt. Im Mittel kam es bei MP-Ereignissen zu 87 Fehlalarmen und bei Guguran Ereignissen zu 33 Fehlalarmen pro Tag. Eine Vielzahl der Fehlalarme und nicht detektierten Ereignisse entstehen jedoch durch eine Verwechslung dieser beiden Signalklassen im automatischen Erkennnungsprozess. Dieses Ergebnis konnte aufgrund der ähnlichen Wellenfeldeigenschaften beider Signalklassen erklärt werden, deren Ursache vermutlich in den bekannt starken Einflüssen des Mediums entlang des Wellenausbreitungsweges in vulkanischen Gebieten liegen. Insgesamt ist die Erkennungsleistung des entwickelten automatischen Klassifizierungssystems als sehr vielversprechend einzustufen. Im Gegensatz zu Standardverfahren, bei denen in der Seismologie üblicherweise nur der Startzeitpunkt eines seismischen Ereignisses detektiert wird, werden in dem untersuchten Verfahren seismische Ereignisse in ihrer Gesamtheit erfasst und zudem im selben Schritt bereits klassifiziert. N2 - Merapi volcano is one of the most active and dangerous volcanoes of the earth. Located in central part of Java island (Indonesia), even a moderate eruption of Merapi poses a high risk to the highly populated area. Due to the close relationship between the volcanic unrest and the occurrence of seismic events at Mt. Merapi, the monitoring of Merapi's seismicity plays an important role for recognizing major changes in the volcanic activity. An automatic seismic event detection and classification system, which is capable to characterize the actual seismic activity in near real-time, is an important tool which allows the scientists in charge to take immediate decisions during a volcanic crisis. In order to accomplish the task of detecting and classifying volcano-seismic signals automatically in the continuous data streams, a pattern recognition approach has been used. It is based on the method of hidden Markov models (HMM), a technique, which has proven to provide high recognition rates at high confidence levels in classification tasks of similar complexity (e.g. speech recognition). Any pattern recognition system relies on the appropriate representation of the input data in order to allow a reasonable class-decision by means of a mathematical test function. Based on the experiences from seismological observatory practice, a parametrization scheme of the seismic waveform data is derived using robust seismological analysis techniques. The wavefield parameters are summarized into a real-valued feature vector per time step. The time series of this feature vector build the basis for the HMM-based classification system. In order to make use of discrete hidden Markov (DHMM) techniques, the feature vectors are further processed by applying a de-correlating and prewhitening transformation and additional vector quantization. The seismic wavefield is finally represented as a discrete symbol sequence with a finite alphabet. This sequence is subject to a maximum likelihood test against the discrete hidden Markov models, learned from a representative set of training sequences for each seismic event type of interest. A time period from July, 1st to July, 5th, 1998 of rapidly increasing seismic activity prior to the eruptive cycle between July, 10th and July, 19th, 1998 at Merapi volcano is selected for evaluating the performance of this classification approach. Three distinct types of seismic events according to the established classification scheme of the Volcanological Survey of Indonesia (VSI) have been observed during this time period. Shallow volcano-tectonic events VTB (h < 2.5 km), very shallow dome-growth related seismic events MP (h < 1 km) and seismic signals connected to rockfall activity originating from the active lava dome, termed Guguran. The special configuration of the digital seismic station network at Merapi volcano, a combination of small-aperture array deployments surrounding Merapi's summit region, allows the use of array methods to parametrize the continuously recorded seismic wavefield. The individual signal parameters are analyzed to determine their relevance for the discrimination of seismic event classes. For each of the three observed event types a set of DHMMs has been trained using a selected set of seismic events with varying signal to noise ratios and signal durations. Additionally, two sets of discrete hidden Markov models have been derived for the seismic noise, incorporating the fact, that the wavefield properties of the ambient vibrations differ considerably during working hours and night time. A total recognition accuracy of 67% is obtained. The mean false alarm (FA) rate can be given by 41 FA/class/day. However, variations in the recognition capabilities for the individual seismic event classes are significant. Shallow volcano-tectonic signals (VTB) show very distinct wavefield properties and (at least in the selected time period) a stable time pattern of wavefield attributes. The DHMM-based classification performs therefore best for VTB-type events, with almost 89% recognition accuracy and 2 FA/day. Seismic signals of the MP- and Guguran-classes are more difficult to detect and classify. Around 64% of MP-events and 74% of Guguran signals are recognized correctly. The average false alarm rate for MP-events is 87 FA/day, whereas for Guguran signals 33 FA/day are obtained. However, the majority of missed events and false alarms for both MP and Guguran events are due to confusion errors between these two event classes in the recognition process. The confusion of MP and Guguran events is interpreted as being a consequence of the selected parametrization approach for the continuous seismic data streams. The observed patterns of the analyzed wavefield attributes for MP and Guguran events show a significant amount of similarity, thus providing not sufficient discriminative information for the numerical classification. The similarity of wavefield parameters obtained for seismic events of MP and Guguran type reflect the commonly observed dominance of path effects on the seismic wave propagation in volcanic environments. The recognition rates obtained for the five-day period of increasing seismicity show, that the presented DHMM-based automatic classification system is a promising approach for the difficult task of classifying volcano-seismic signals. Compared to standard signal detection algorithms, the most significant advantage of the discussed technique is, that the entire seismogram is detected and classified in a single step. KW - volcanic seismology KW - Merapi KW - monitoring KW - classification KW - pattern recognition KW - Hidden Markov Model (HMM) KW - Seismic Array Methods Y1 - 2001 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-0000028 ER -