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Journal articles on the topic 'Automatic data collecting systems'
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Palmieri Lage, Juliano, Altigran S. da Silva, Paulo B. Golgher, and Alberto H. F. Laender. "Automatic generation of agents for collecting hidden Web pages for data extraction." Data & Knowledge Engineering 49, no. 2 (May 2004): 177–96. http://dx.doi.org/10.1016/j.datak.2003.10.003.
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Byrd Christoph, Orinda, Scott P. Stevens, and Richard T. Christoph. "Automatic Data Collection Systems: Observed Benefits and Problems." International Journal of Operations & Production Management 12, no. 5 (May 1992): 57–68. http://dx.doi.org/10.1108/01443579210011417.
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Serov, Dmitry. "Information technologies implementation for reducing water losses in water supply systems." E3S Web of Conferences 164 (2020): 01005. http://dx.doi.org/10.1051/e3sconf/202016401005.
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The article discusses the elements of an automated system for collecting, storing and transmitting data on water consumption, modern metering devices, data collection and transmission devices. The author analyzes the shortcomings of existing accounting and analysis automation systems at Russian water utilities. A comprehensive approach to automated systems in the field of water consumption accounting is proposed. The article considers the experience of the State unitary enterprise “Vodokanal of Saint Petersburg” in the sphere development and application of a single automated complex for diagnostics, monitoring and management of the water supply network. The goals and main functions of the complex are revealed, the main stages and results of its implementation are presented.
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Truong, Do Quoc, Pham Ngoc Phuong, Tran Hoang Tung, and Luong Chi Mai. "DEVELOPMENT OF HIGH-PERFORMANCE AND LARGE-SCALE VIETNAMESE AUTOMATIC SPEECH RECOGNITION SYSTEMS." Journal of Computer Science and Cybernetics 34, no. 4 (January 30, 2019): 335–48. http://dx.doi.org/10.15625/1813-9663/34/4/13165.
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Automatic Speech Recognition (ASR) systems convert human speech into the corresponding transcription automatically. They have a wide range of applications such as controlling robots, call center analytics, voice chatbot. Recent studies on ASR for English have achieved the performance that surpasses human ability. The systems were trained on a large amount of training data and performed well under many environments. With regards to Vietnamese, there have been many studies on improving the performance of existing ASR systems, however, many of them are conducted on a small-scaled data, which does not reflect realistic scenarios. Although the corpora used to train the system were carefully design to maintain phonetic balance properties, efforts in collecting them at a large-scale are still limited. Specifically, only a certain accent of Vietnam was evaluated in existing works. In this paper, we first describe our efforts in collecting a large data set that covers all 3 major accents of Vietnam located in the Northern, Center, and Southern regions. Then, we detail our ASR system development procedure utilizing the collected data set and evaluating different model architectures to find the best structure for Vietnamese. In the VLSP 2018 challenge, our system achieved the best performance with 6.5% WER and on our internal test set with more than 10 hours of speech collected real environments, the system also performs well with 11% WER
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Hodosh, M., P. Young, and J. Hockenmaier. "Framing Image Description as a Ranking Task: Data, Models and Evaluation Metrics." Journal of Artificial Intelligence Research 47 (August 30, 2013): 853–99. http://dx.doi.org/10.1613/jair.3994.
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The ability to associate images with natural language sentences that describe what is depicted in them is a hallmark of image understanding, and a prerequisite for applications such as sentence-based image search. In analogy to image search, we propose to frame sentence-based image annotation as the task of ranking a given pool of captions. We introduce a new benchmark collection for sentence-based image description and search, consisting of 8,000 images that are each paired with five different captions which provide clear descriptions of the salient entities and events. We introduce a number of systems that perform quite well on this task, even though they are only based on features that can be obtained with minimal supervision. Our results clearly indicate the importance of training on multiple captions per image, and of capturing syntactic (word order-based) and semantic features of these captions. We also perform an in-depth comparison of human and automatic evaluation metrics for this task, and propose strategies for collecting human judgments cheaply and on a very large scale, allowing us to augment our collection with additional relevance judgments of which captions describe which image. Our analysis shows that metrics that consider the ranked list of results for each query image or sentence are significantly more robust than metrics that are based on a single response per query. Moreover, our study suggests that the evaluation of ranking-based image description systems may be fully automated.
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Shang, Chun Min, Dong Mei Zhang, and Xin Ming Zhang. "Subsurface Safety Valve Automation Test Systems Design." Applied Mechanics and Materials 543-547 (March 2014): 1188–91. http://dx.doi.org/10.4028/www.scientific.net/amm.543-547.1188.
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To the subsurface safety valve testing, an intelligent automatic test system is designed based on the control computer and programmable logic controller. Based on modular concept, the entire system is mainly composed of mechanical components and computer control system. The working principle is analyzed for the subsurface safety valve test. The control system based on the Labview and PLC can accomplish hydraulic and gas testing with functions of the testing process control, data collection and analysis, automatic generating test report, friendly interface and high degree automation. Experiments prove that the test system can achieve expected effect and satisfy the test requirement, and the procedure is simple and convenient. The system has great significance to improve the subsurface safety valve test accuracy, efficiency and automation level.
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Vuong, Quan-Hoang, Viet-Phuong La, Thanh-Huyen T. Nguyen, Minh-Hoang Nguyen, Tam-Tri Le, and Manh-Toan Ho. "An AI-Enabled Approach in Analyzing Media Data: An Example from Data on COVID-19 News Coverage in Vietnam." Data 6, no. 7 (June 25, 2021): 70. http://dx.doi.org/10.3390/data6070070.
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This method article presents the nuts and bolts of an AI-enabled approach to extracting and analyzing social media data. The method is based on our previous rapidly cited COVID-19 research publication, working on a dataset of more than 14,000 news articles from Vietnamese newspapers, to provide a comprehensive picture of how Vietnam has been responding to this unprecedented pandemic. This same method is behind our IUCN-supported research regarding the social aspects of environmental protection missions, now appearing in print in Wiley’s Corporate Social Responsibility and Environmental Management. Homemade AI-enabled software was the backbone of the study. The software has provided a fast and automatic approach in collecting and analyzing social data. Moreover, the tool also allows manually sorting the data, AI-generated word tokenizing in the Vietnamese language, and powerful visualization. The method hopes to provide an effective but low-cost method for social scientists to gather a massive amount of data and analyze them in a short amount of time.
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Tanaka, Mikio. "Data Re-allocation Method for Automatic Toll Collection Systems for Transportation Services." IEEJ Transactions on Industry Applications 117, no. 9 (1997): 1106–14. http://dx.doi.org/10.1541/ieejias.117.1106.
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BABA, Seiki, and Nobuhiro MIZUNO. "Automatic Data Collection and Remote-Measurement Systems at SPring-8 MX Beamlines." Nihon Kessho Gakkaishi 63, no. 3 (August 31, 2021): 216–18. http://dx.doi.org/10.5940/jcrsj.63.216.
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Grisé, Emily, and Ahmed El-Geneidy. "Identifying the Bias: Evaluating Effectiveness of Automatic Data Collection Methods in Estimating Details of Bus Dwell Time." Transportation Research Record: Journal of the Transportation Research Board 2647, no. 1 (January 2017): 33–40. http://dx.doi.org/10.3141/2647-05.
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Data from automated vehicle location (AVL) systems, automatic passenger counter (APC) systems, and fare box payments have been heavily used to generate dwell time models with the goal of recommending improvements in efficiency and reliability of bus transit systems. However, automatic data collection methods may result in a loss of detail with regard to the dynamics of passenger activity, which may bias the estimates associated with dwell or passenger activity time. The purpose of this study is to understand better any biases that might exist from using data from AVL–APC systems or fare box payments when estimating dwell time. Manually collected data from Montreal, Quebec, Canada, are used to estimate detailed dwell time models. This study compared those estimates to models generated by using data similar to what was reported by AVL–APC systems and fare boxes. The results reveal an overestimation in the passenger activity component of dwell time, which is mainly attributed to excess dwell time that AVL–APC data and fare box payments generally do not capture. While AVL–APC and fare box technologies provide transit agencies with rich data for analysis, adjustments to such data collection methods are warranted to reduce the overestimation of dwell time and to provide a more accurate picture of what is happening on the ground to generate better interventions that can reduce dwell times.
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de Sanctis, Daniele, and Stephanie Monaco. "The MxCuBE2/ISPyB environment for remote data collection at the ESRF." Acta Crystallographica Section A Foundations and Advances 70, a1 (August 5, 2014): C786. http://dx.doi.org/10.1107/s2053273314092134.
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MxCuBE, is a beamline control graphical user interface (GUI) for macromolecular crystallography (MX) experiments that was developed by the ESRF and has been in use since 2005. The GUI provides the user with a friendly interface to electronic devices, permitting to carry out experiments in a intuitive environment while benefiting from the increasing automation. Since its release, MxCuBE has become the preferred MX data acquisition software, also installed at other European synchrotron sites [SOLEIL, EMBL@PETRAIII, BESSY and MAXLAB].In September 2013, after intense recoding, experiment design and testing, the ESRF has deployed MxCuBE2 on all the ESRF's MX beamlines. This new generation of GUI is capable of interfacing with a variety of low level control systems. MxCuBE2, written in the Python programming language, has a radical new appearance and provides an updated environment for performing complicated multi-crystal/multi-position MX experiments in a modular, logical and automatic fashion. ISPyB is a Laboratory Information Management System (LIMS) conceived to record experimental parameters and basic reporting of the data obtained. Since 2009 ISPyB has been a collaboration between ESRF and Diamond Light Source (DLS) and the LIMS is now a multi-site, generic system for synchrotron-based (MX) experiments. The current version allows users to track their sample location (to/from & at the synchrotron), facilitates transmission of information from and to other LIMS, records experiment details, and provides the results - including reflection files - of automatic data processing protocols. Indeed as experiments have become more complex and automated ISPyB has become more than just a repository for project histories - it has become a support for rapid decision making during experiments. The combination of these two indispensable tools in every day users life at the European Synchrotron Radiation Facility will be presented and discussed.
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Turner, Shawn M. "Advanced Techniques for Travel Time Data Collection." Transportation Research Record: Journal of the Transportation Research Board 1551, no. 1 (January 1996): 51–58. http://dx.doi.org/10.1177/0361198196155100107.
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Travel time information is becoming more important for applications ranging from congestion measurement to real-time travel information. Several advanced techniques for travel time data collection are discussed, including electronic distance-measuring instruments (DMIs), computerized and video license plate matching, cellular phone tracking, automatic vehicle identification (AVI), automatic vehicle location (AVL), and video imaging. The various advanced techniques are described, the necessary equipment and procedures are outlined, the applications of each technique are discussed, and the advantages and disadvantages are summarized. Electronic DMIs are low in cost but typically limited to congestion monitoring applications. Computerized and video license plate matching are more expensive and would be most applicable for congestion measurement and monitoring. Cellular phone tracking, AVI, and AVL systems may require a significant investment in communications infrastructure, but they can provide real-time information. Video imaging is still in testing stages, with some uncertainty about costs and accuracy.
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Dr. Atul Patel, Dhatri Raval, Dr Jaimin Undavia,. "AGILE FRAMEWORK BASED IOT APPLICATION FOR FIRE DETECTION." INFORMATION TECHNOLOGY IN INDUSTRY 9, no. 2 (March 22, 2021): 162–67. http://dx.doi.org/10.17762/itii.v9i2.321.
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The recent times the entire world is moving towards the automation and sensor based systems, applications and solutions. Tons of data are now generated without a single human intervention as the data collection is automated through such intelligent systems. Once you have huge amount of error free data with you, one can use it in various aspects for the betterment of any new system or system already on floor. The advent of IoT has changed the world of manufacturing industries too through installation of different sensors with high proximity. Such automated and intelligent systems are used to automate the routine process, signaling any accident, switch off/on any device which may lead to a hazard, automatic supervision of any process, etc. This article offers a framework to prevent fire accidents within the industry involving fire problems. The proposed system is going to be an IoT based solution with well equipped sensors and other triggering devices.
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Smith, Roger E., Thomas J. Freeman, and Olga J. Pendleton. "Contracting for Pavement Distress Data Collection." Transportation Research Record: Journal of the Transportation Research Board 1643, no. 1 (January 1998): 80–85. http://dx.doi.org/10.3141/1643-11.
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Many agencies responsible for managing pavements have adopted pavement management systems (PMS) to help manage their pavement networks more cost-effectively. One of the most costly parts of operating a PMS is collecting condition information, especially pavement distress information. Many agencies have started to contract for pavement distress data collection. Some of the agencies have experienced problems with the data collected by contract. A study for agencies in Washington and Oregon to define the accuracy of data needed by the agencies with an evaluation of certain participating vendors using semiautomated data collection methods is described. Issues about quality control and quality assurance faced by agencies considering contracting for automated data collection also are raised. These issues need additional study to develop appropriate guidelines. The initial set provided is based on discussions with some of the agencies currently contracting for pavement distress data collection.
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Zhao, Jinhua, Adam Rahbee, and Nigel H. M. Wilson. "Estimating a Rail Passenger Trip Origin-Destination Matrix Using Automatic Data Collection Systems." Computer-Aided Civil and Infrastructure Engineering 22, no. 5 (July 2007): 376–87. http://dx.doi.org/10.1111/j.1467-8667.2007.00494.x.
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Chen, Su Ping, and Dai Zong Liu. "Bus Passenger Origin-Destination Matrix Estimation Using Available Information from Automatic Data Collection Systems in Chongqing, China." Advanced Materials Research 779-780 (September 2013): 878–89. http://dx.doi.org/10.4028/www.scientific.net/amr.779-780.878.
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This research explores the application of available information from Automated Data Collection Systems (ADC) with a focus on bus passenger Origin-Destination (OD) matrices inference, using Chongqing as a case study. It demonstrates the feasibility and ease of applying to infer bus passengers boarding and alighting locations if boarding information is available from neither Automatic Fare Collection System (AFC) nor GPS data, and is the first known attempt to create an algorism to use stop Geographic Information System (GIS) and dual-direction bus stop group to estimate the boarding location and traveling direction when GPS data cannot provide the arriving information at bus stops. The results of this research have been practically applied to a full-size bus network in Chongqing, and can be easily implemented to other Chinese cities as Chongqing presents most popular data structure of ADC in China.
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Stein, Daniel, Barbara Krausz, Jobst Löffler, Robin Marterer, Rolf Bardeli, Michael Stadtschnitzer, and Jochen Schwenninger. "Automatic Audio and Video Event Recognition in an Intelligent Resource Management System." International Journal of Information Systems for Crisis Response and Management 5, no. 4 (October 2013): 1–12. http://dx.doi.org/10.4018/ijiscram.2013100101.
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Event recognition systems have high potential to support crisis management and emergency response. For large-scale scenarios, however, the sheer amount of possible audio and video channels requires adequate processing of the material by automatic means. In this article, the authors focus on automatic audio and video event recognition, by means of detecting abnormalities both in train noise as well as surveillance videos, and by conducting automatic speech recognition on fire fighter communication. All components are integrated in an overall intelligent resource management system. The authors elaborate on the challenges expected from real life data and the solutions that the authors applied. The overall system, based on Event-Driven Service-Oriented Architecture, has been implemented and partly integrated into the end users' infrastructures. The system has been continuously running for more than two years, collecting data for research purposes.
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Boykov, Vladimir, and Aleksandr Povarecho. "Methodology of machine destruction testing." MATEC Web of Conferences 182 (2018): 01007. http://dx.doi.org/10.1051/matecconf/201818201007.
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This paper presents selected problems connected with automation of procedures involved in assessment of machine degradation degree using vibration method with special emphasis on the machine state prognosis. The current knowledge of these problems is not sufficient and needs further research on data processing, analysis of efficiency of diagnostic and prognostic procedures, collection and selection of diagnostic parameters and development of automatic procedures for recognition and prognosis of a machine state. New solutions and different aspects of diagnostic prognosis based on the proposed partial procedures focus on factors determining automation of procedures for identification of technical systems states. New automated procedures for acquisition and processing of symptoms indicating the machine state provide better possibilities of control and supervision of technical systems operation and maintenance through identification of their current states, and its good prognosis.
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Jørgensen, H. K., S. Rosenørn, H. Madsen, and P. S. Mikkelsen. "Quality control of rain data used for urban runoff systems." Water Science and Technology 37, no. 11 (June 1, 1998): 113–20. http://dx.doi.org/10.2166/wst.1998.0448.
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When improving software packages such as MOUSE and SAMBA for designing sewers and storage basins, and simulating overflows and flooding the quality of the input becomes important. The essential input to these modelling tools are the historical rain series. This paper presents the procedures for collection and quality control of rain data from a network of tipping bucket rain gauges in Denmark carried out by the Danish Meteorological Institute. During rain, the RIMCO gauge counts the number of tips (each of 0.2 mm of precipitation) every minute. The quality control of the rain data includes an automatic and a manual bit marking, where the automatic control basically is pointing out minutes with extreme intensities. In the manual control, the maximum intensities as well as the daily totals of precipitation are inspected, using weather charts, intensity plots and precipitation sums of nearby Hellmann gauges. Shortcomings and improvements of the quality control are discussed. Although, it is possible to improve the efficiency of the quality control, long term corrections will always be necessary.
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Li, Tao. "Design of an Automatic Detector for Gas Desorption of Coal Samples." Instrumentation Mesure Métrologie 19, no. 5 (November 15, 2020): 355–61. http://dx.doi.org/10.18280/i2m.190505.
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Gas content measurement is a common technique in the prevention of coalmine gas disasters. During the measurement, the gas desorption amount of field coal samples needs to be obtained by an instrument working under the principle of gas collection by water displacement (GCWD). The instrument is poorly automated, and susceptible to the influence of subjective factors. To overcome these defects, this paper designs an automatic detector of gas desorption, aiming to realize automated detection. Firstly, the authors analyzed the gas desorption detection process, and clarified the contents and features of the information to be collected. On this basis, the hardware and software systems of the multi-data automatic detector were developed based on digital circuit design and multi-sensor detection. To further improve the measuring accuracy of gas desorption, the multi-range multi-stage mode was introduced to the automatic detector. Application results show that the proposed detector can automatedly collect and store gas desorption amount, ambient pressure, and temperature, greatly improve the degree of automation, and minimize the influence of subjective factors. The popularization of this detector will make gas desorption measurement more efficient and effective, laying a solid basis for the prevention of coalmine gas disasters.
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Shebunova, Ekaterina. "The issues of implementing legislation on personal data in the era of big data." Current Issues of the State and Law, no. 15 (2020): 319–26. http://dx.doi.org/10.20310/2587-9340-2020-4-15-319-326.
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We consider the impact of automation processes on the implementation of external financial control. We study the practical application features of new sources of data analysis – state information systems. In particular, the legal regulation of the functioning of such systems and their use for financial control purposes. We present methods for collecting and analyzing big data in order to improve the legal regulation of the budgetary process, as well as the law enforcement practice of using big data arising in the process of digitalization of the control and supervisory activities of external financial control bodies. We focus on the fact that big data analysis methods (for ex-ample, spatial analysis, social network analysis, machine learning, etc.) can be used to implement state financial control over the activities of nonprofit organizations. We find that improved methods of collecting and analyzing data helps not only to respond flexibly to sudden changes and make faster and more accurate decisions, but also to use large databases, which, in turn, allows us to move from monitoring the legality of spending to analyzing the effectiveness of use financial resources of the state. Based on the given ex-amples, we conclude that automation contributes to improving the methods of state financial control.
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Archer, Wendy, Stefano Consiglio, Paolo Ferri, Luca Pareschi, and Silvio Peroni. "Call for papers: Automatic understanding of texts in social and computer sciences." puntOorg International Journal 1, no. 1 (January 2019): 1. http://dx.doi.org/10.19245/25.05.cfp.05.
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Over the last 20 years, the use of automated and semi-automated techniques for extracting meanings from text have been widely debated in the social sciences. Automated and semi-automated techniques can be employed in all research phases: data collection (e.g. scraping), data cleaning (e.g. lemmatization of words), analysis (e.g. Named Entity Recognition, Part-of-speech Tagging, Topic Modeling, Keyword Analysis, Semantic Network Analysis, Sentiment Analysis), and visualization. Far from forcing epistemological choices, these techniques can be inductively used to deal with big corpora of data, impossible to work with for a human being. The debate produced great expectations, but substantive research results and the development of actual user friendly tools are still relatively scarce. Social researchers usually lack the technical skills to develop and integrate new research tools as instruments able to radically change the way the research is devised and conducted. Computer scientists, on the other hand, often lack regular opportunities to interact with social scientists in ways that would enable greater understanding and more widespread use to be derived from the introduction of new tools. Moreover, in social and organizational sciences, different researchers use different techniques, but both a broader reflection on the advantages and disadvantages of each technique, and an integration/comparison of different tools, are lacking. A critical review of how these techniques are used in social sciences is a valuable and welcome contribution that would enable researchers working in these areas to disentangle the technicalities of these numerous and diverse techniques and showcase the research approaches they are used for. This call for papers follows an initial stream of research developed by the CATARSI project at the University of Bologna. CATARSI (Comprensione Automatica di Testi e ARticoli nelle scienze Sociali e Informatiche – automatic understanding of texts and articles in social sciences and computer sciences) aims at tackling the interface between social sciences and information science and improving both the knowledge and the development of computer-based techniques for analyzing texts and extracting meanings. The issue tackled by CATARSI, thus, is cultural and practical, and its results will impact both on information science, which deals more with ontological aspects, and on the social sciences, which stand to benefit from the use of new instruments to improve the way knowledge is analyzed and created. This Call for Papers (CfP) aims thus at collecting contributions able to shed light on the current use of semi-automatic and computer-aided techniques for understanding texts and extracting meanings from them, especially within the social sciences. Topics include, but are not limited to: application of one or more semi-automated techniques to organizational studies; critical reviews on how semi-automated techniques are used to elicit meanings from texts in organization science; comparison of qualitative and computer-aided techniques in conducting research; analysis of the ways different techniques are used to grasp meaning from texts; cross-field and interdisciplinary applications of automatic analysis techniques; description of new tools and systems for the use and application of these methods; critical reviews on the evolution of automatic reading within social and organization science. We welcome different theoretical and empirical methodologies. Qualitative, quantitative, and experimental methodologies are welcome. Full paper submission deadline: 31st October 2019
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Gizelska, Małgorzata, Dorota Kozanecka, and Zbigniew Kozanecki. "Diagnostics of the Mechatronic Rotating System." Key Engineering Materials 588 (October 2013): 101–8. http://dx.doi.org/10.4028/www.scientific.net/kem.588.101.
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Nowadays rotating systems are equipped with diagnostic systems that are based on collecting and recording measurement data and that process a huge amount of data during the machine operation. An analysis of these data and their interpretation, as well as finding a correlation between process parameters and dynamics of the machine is a very important problem. In the paper, a concept and selected procedures of the specialized software using advanced information technology for the diagnostic system dedicated for systems of rotating machines with active magnetic bearings will be presented. It is used in the actual operation of the machine, enabling an increase of its reliability. The paper presents some selected results of control of the proper operation of the mechatronic rotating system, carried out in the automatic mode.
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Griffin, Kingsley J., Luke H. Hedge, Manuel González-Rivero, Ove I. Hoegh-Guldberg, and Emma L. Johnston. "An evaluation of semi-automated methods for collecting ecosystem-level data in temperate marine systems." Ecology and Evolution 7, no. 13 (May 22, 2017): 4640–50. http://dx.doi.org/10.1002/ece3.3041.
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Machell, J., S. R. Mounce, and J. B. Boxall. "Online modelling of water distribution systems: a UK case study." Drinking Water Engineering and Science 3, no. 1 (March 30, 2010): 21–27. http://dx.doi.org/10.5194/dwes-3-21-2010.
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Abstract. Hydraulic simulation models of water distribution networks are routinely used for operational investigations and network design purposes. However, their full potential is often never realised because, in the majority of cases, they have been calibrated with data collected manually from the field during a single historic time period and, as such, reflect the network operational conditions that were prevalent at that time, and they are then applied as part of a reactive, desktop investigation. In order to use a hydraulic model to assist proactive distribution network management its element asset information must be up to date and it should be able to access current network information to drive simulations. Historically this advance has been restricted by the high cost of collecting and transferring the necessary field measurements. However, recent innovation and cost reductions associated with data transfer is resulting in collection of data from increasing numbers of sensors in water supply systems, and automatic transfer of the data to point of use. This means engineers potentially have access to a constant stream of current network data that enables a new era of "on-line" modelling that can be used to continually assess standards of service compliance for pressure and reduce the impact of network events, such as mains bursts, on customers. A case study is presented here that shows how an online modelling system can give timely warning of changes from normal network operation, providing capacity to minimise customer impact.
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Machell, J., S. R. Mounce, and J. B. Boxall. "Online modelling of water distribution systems: a UK case study." Drinking Water Engineering and Science Discussions 2, no. 2 (December 23, 2009): 279–94. http://dx.doi.org/10.5194/dwesd-2-279-2009.
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Abstract. Hydraulic simulation models of water distribution networks are routinely used for operational investigations and network design purposes. However, their full potential is often never realised because, in the majority of cases, they have been calibrated with data collected manually from the field during a single historic time period and, as such, reflect the network operational conditions that were prevalent at that time, and they are then applied as part of a reactive, desktop investigation. In order to use a hydraulic model to assist proactive distribution network management its element asset information must be up to date and it should be able to access current network information to drive simulations. Historically this advance has been restricted by the high cost of collecting and transferring the necessary field measurements. However, recent innovation and cost reductions associated with data transfer is resulting in collection of data from increasing numbers of sensors in water supply systems, and automatic transfer of the data to point of use. This means engineers potentially have access to a constant stream of current network data that enables a new era of "online" modelling that can be used to continually assess standards of service compliance for pressure and reduce the impact of network events, such as mains bursts, on customers. A case study is presented here that shows how an online modelling system can give timely warning of changes from normal network operation, providing capacity to minimise customer impact.
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Gogineni, Venkatsampath Raja, Kalyan Matcha, and Raghava Rao K. "Real Time Domestic Power Consumption Monitoring using Wireless Sensor Networks." International Journal of Electrical and Computer Engineering (IJECE) 5, no. 4 (August 1, 2015): 685. http://dx.doi.org/10.11591/ijece.v5i4.pp685-694.
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<p>This paper subsumes the implementation of automation in tracking the electrical consumption data of household systems over the network (WEB). This could sub-sequentially cut down the manual work involved in the process of collecting no: of units consumed from each house, thereby avoiding the manual costs and errors by building an automatic network access. The installation of this system is quite an easy task, which do not need much hardware work. The key elements that make this system are Current sensor and Voltage sensor interfaced to an Arduino board (A General Purpose Micro Controller board) with an Ethernet shield and a WIFI Router for transmission of data wirelessly to the server for storing consumption values into the database. Hosting web pages with the database connectivity will make the administrator generate electricity bill automatically that facilitates user’s to view and pay his electricity bill online.</p>
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Zhu, Wei, Feng Zhou, Jiajun Huang, and Ruihua Xu. "Validating Rail Transit Assignment Models with Cluster Analysis and Automatic Fare Collection Data." Transportation Research Record: Journal of the Transportation Research Board 2526, no. 1 (January 2015): 10–18. http://dx.doi.org/10.3141/2526-02.
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Passenger flow data are necessary for making and coordinating operational plans for urban rail transit (URT) systems; the availability and the service state of those systems directly influence the activity of a city and its people. Although many transit assignment models have been developed, the results of passenger flows estimated by these models as well as assumptions made in the estimation process, especially for large-scale, complex, and dynamically changing URT networks, had not been validated. This paper proposes a methodology that can validate existing URT assignment models by using automatic fare collection data and a cluster analysis technique. Initial applications to the URT system of Shanghai, China, which is one of the largest in the world, show that the proposed approach works well and can efficiently find the origin–destination pairs in which passengers' route choices are misestimated by those assignment models. The analysis suggests that several factors result in errors (for the URT assignment model used in Shanghai). These factors include the threshold for the difference in travel costs, a misrepresentation of the transferring cost, and inadequate values for the standard deviation. This information is useful for detecting errors in existing URT assignment models, leading to improvements.
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Nenashev, Vadim, and Alexander Shepeta. "Accuracy characteristics of object location in a two-position system of small onboard radars." Information and Control Systems, no. 2 (April 20, 2020): 31–36. http://dx.doi.org/10.31799/1684-8853-2020-2-31-36.
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Introduction: The search for physical objects in a given area is often performed in automatic mode using small unmanned aerial vehicles equipped with radars. Airborne radar antennas, due to size restrictions, have a small aperture and, accordingly, a wide directional pattern, decreasing the accuracy of determining the angular coordinates of the objects. The increase in the angular coordinate estimation accuracy leads to the increase in the informativeness of such automatic search systems and, consequently, to the increase in the efficiency of their practical use. Purpose: Developing a technique for calculating the parameters of a two-position radar system consisting of two small airborne radars placed on small unmanned aerial vehicles, in order to increase the accuracy of determining the angular coordinates of radiocontrast physical objects. Results: An algorithm is proposed for integrating the data about the coordinates of physical objects detected in the joint coverage area of a two-position system of small airborne radars. It allows you, depending on the observation conditions, to increase the accuracy of determining the azimuthal coordinates by an order of magnitude or more. The aircraft trajectories are calculated on which the accuracy grows, and those on which there is almost no gain in accuracy. Practical relevance: Such two-position airborne small radars can be used in automated systems in order to detect physical object such as people in disaster areas, as well as in systems of collecting and processing data from sensors used for monitoring the state of the environment or man-made objects.
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Agarwala, Nitin. "Monitoring the Ocean Environment Using Robotic Systems: Advancements, Trends, and Challenges." Marine Technology Society Journal 54, no. 5 (September 1, 2020): 42–60. http://dx.doi.org/10.4031/mtsj.54.5.7.
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AbstractScientists are able to gain a substantial understanding of various environmental processes (e.g., physical, chemical, or biological parameters) through environmental sensing and monitoring. Most of these monitoring scenarios involve large environmental space and require a considerable amount of work and time for collecting the required data. Realizing the associated human effort, the data collection process was automated, to some extent, by providing wireless communication capabilities to the sensors. However, with the sensing environments increasing demographically, the location of the sensors moved far apart, necessitating additional relay nodes. This made data collection time consuming and complex. In order to simplify the effort towards data collection by reducing the human involvement to a minimum and to reduce power requirement of the sensors for data transmission, thereby increasing their life, use of marine robotic systems has been experimented with successfully. This article aims to discuss the advancements, trends, and challenges of marine robotic systems for environmental monitoring.
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Svensson, Olof, Stéphanie Malbet-Monaco, Alexander Popov, Didier Nurizzo, and Matthew W. Bowler. "Fully automatic characterization and data collection from crystals of biological macromolecules." Acta Crystallographica Section D Biological Crystallography 71, no. 8 (July 31, 2015): 1757–67. http://dx.doi.org/10.1107/s1399004715011918.
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Considerable effort is dedicated to evaluating macromolecular crystals at synchrotron sources, even for well established and robust systems. Much of this work is repetitive, and the time spent could be better invested in the interpretation of the results. In order to decrease the need for manual intervention in the most repetitive steps of structural biology projects, initial screening and data collection, a fully automatic system has been developed to mount, locate, centre to the optimal diffraction volume, characterize and, if possible, collect data from multiple cryocooled crystals. Using the capabilities of pixel-array detectors, the system is as fast as a human operator, taking an average of 6 min per sample depending on the sample size and the level of characterization required. Using a fast X-ray-based routine, samples are located and centred systematically at the position of highest diffraction signal and important parameters for sample characterization, such as flux, beam size and crystal volume, are automatically taken into account, ensuring the calculation of optimal data-collection strategies. The system is now in operation at the new ESRF beamline MASSIF-1 and has been used by both industrial and academic users for many different sample types, including crystals of less than 20 µm in the smallest dimension. To date, over 8000 samples have been evaluated on MASSIF-1 without any human intervention.
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Mairittha, Tittaya, Nattaya Mairittha, and Sozo Inoue. "Automatic Labeled Dialogue Generation for Nursing Record Systems." Journal of Personalized Medicine 10, no. 3 (July 16, 2020): 62. http://dx.doi.org/10.3390/jpm10030062.
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The integration of digital voice assistants in nursing residences is becoming increasingly important to facilitate nursing productivity with documentation. A key idea behind this system is training natural language understanding (NLU) modules that enable the machine to classify the purpose of the user utterance (intent) and extract pieces of valuable information present in the utterance (entity). One of the main obstacles when creating robust NLU is the lack of sufficient labeled data, which generally relies on human labeling. This process is cost-intensive and time-consuming, particularly in the high-level nursing care domain, which requires abstract knowledge. In this paper, we propose an automatic dialogue labeling framework of NLU tasks, specifically for nursing record systems. First, we apply data augmentation techniques to create a collection of variant sample utterances. The individual evaluation result strongly shows a stratification rate, with regard to both fluency and accuracy in utterances. We also investigate the possibility of applying deep generative models for our augmented dataset. The preliminary character-based model based on long short-term memory (LSTM) obtains an accuracy of 90% and generates various reasonable texts with BLEU scores of 0.76. Secondly, we introduce an idea for intent and entity labeling by using feature embeddings and semantic similarity-based clustering. We also empirically evaluate different embedding methods for learning good representations that are most suitable to use with our data and clustering tasks. Experimental results show that fastText embeddings produce strong performances both for intent labeling and on entity labeling, which achieves an accuracy level of 0.79 and 0.78 f1-scores and 0.67 and 0.61 silhouette scores, respectively.
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Anikeev, Evgeniy. "The structure and application of an automated system for monitoring passenger traffic." Modeling of systems and processes 14, no. 3 (September 22, 2021): 4–11. http://dx.doi.org/10.12737/2219-0767-2021-14-3-4-11.
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Various methods of collecting data on passenger traffic, their advantages and disadvantages are considered. It is shown that in order to improve the quality of transport services, it is necessary to regularly collect and refine data on passenger traffic. The goals and methods of obtaining information about passenger traffic in the system of municipal passenger transport are indicated. All currently existing methods are divided into three categories: data collection using technical means, data collection with the help of censors and volunteers, and interpretation of fare payments. All the methods presented in the article were compared in terms of labor intensity, costs and accuracy of the results obtained. The advantages and disadvantages of each method are considered. The general structure of an automated system for collecting data on passenger traffic is presented. The necessity of creating a centralized system for collecting and processing data associated with all passenger transport control systems has been substantiated. The tasks solved by this system at all levels of transport services for passengers are shown. Each of the tasks is assigned to one of three service levels: pre-transport, transport and post-transport. It is shown that only solving problems at all levels can ensure high-quality operation of the municipal passenger transport system.
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Wilson, Bruce G., Betsy J. Agar, Brian W. Baetz, and Anne Winning. "Practical applications for global positioning system data from solid waste collection vehicles." Canadian Journal of Civil Engineering 34, no. 5 (May 1, 2007): 678–81. http://dx.doi.org/10.1139/l06-174.
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Studies of municipal solid waste collection systems have traditionally relied upon information collected from time and motion studies or truck logs. This type of data collection has been expensive, the volume of data collected has been small, and the reliability of the data has been suspect. A recent project in Hamilton, Ontario, monitored five municipal solid waste collection vehicles using a global positioning system (GPS) as an alternative to traditional data collection methods. The study found that the GPS data are reliable, accurate, and suitable for a range of solid waste planning purposes. Data collection was automatic and relatively inexpensive. Analysis of the data identified significant differences in the performance of the vehicles on different routes. Data collection using GPS is an improvement over traditional data collection methods, but the large volume of data generated will provide challenges for waste managers. Key words: data collection, global positioning system, municipal solid waste, refuse collection, automatic vehicle location.
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Uvarov, Ivan, Viktor Marchenkov, and Vladimir Tolpin. "Meteorological data analysis capabilities in the “VEGA constellation” information systems family." E3S Web of Conferences 149 (2020): 01003. http://dx.doi.org/10.1051/e3sconf/202014901003.
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Satellite monitoring information systems require joint analysis of heterogeneous data, including meteorological data. To solve these problems, IKI RAS developed a technology for automatic acquisition, storage, presentation and analysis of meteorological data. The archive of meteorological data in IKI RAS is maintained within the Center for Collective Use “IKI-Monitoring“. The data is being continuously updated from a number of sources, primarily with the data obtained by the NCEP model. The data is available for visualization on the map in various ways. Plotting provides time series analysis in comparison to other variables such as vegetation indices. The developed technologies have been applied in development of a number of specialized information systems of satellite monitoring of natural and anthropogenic objects.
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Tan, Yi, Silin Li, Hailong Liu, Penglu Chen, and Zhixiang Zhou. "Automatic inspection data collection of building surface based on BIM and UAV." Automation in Construction 131 (November 2021): 103881. http://dx.doi.org/10.1016/j.autcon.2021.103881.
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Šurjanac, Nenad, Natalija Momirović, Marija Milosavljević, Sonja Braunović, and Milan Kabiljo. "Application of small unamanned aerial systems in logistics and planning." Sustainable Forestry: Collection, no. 79-80 (2019): 149–63. http://dx.doi.org/10.5937/sustfor1979149q.
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The application of modern technologies makes it easy to collect, process, present, and apply data for logistics in hard to reach areas. Proper delivery of equipment, personnel, and materials directly affects the quality of work. The need for precise and real information about the condition of the terrain and the conditions of the environment has always existed since this knowledge enables proper planning, forecasting and task performing in the field. Improvement in the digital industry enables fast and easy transfer of unchanged digital data from the field to the information processing centers, which consequently improves decision making and planning processes. New workflows made proper logistics even more important because it increased the precision of field work and better anticipation of previously unforeseen circumstances. Work on hard to reach areas, with large slopes, non-existent and/or non-persistent infrastructure, and different degree of vegetation coverage requires precise planning and organization of works, in order to minimize the number of unforeseen situations and make the most expeditious workflows. This paper presents the practical application of small unmanned aerial systems for collecting a large amount of data in a short time, the processing of the data, and the production of relevant information for decision making. There are two most important aspects of this paper. First one is fast, easy, safe and precise collection of large amounts of data which is an alternative to the traditional methods. The second is computer data processing, which enables a fast and automatic transformation of raw data into relevant information in digital formats that are suitable for further processing and easily accessible to decision makers. This work shows that it is possible to record quickly and in detail a large area, and obtain real, current, accurate and high-fidelity information about each point of terrain, with high precision and reliability
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Dzhuma, Liudmyla, Oleh Dmitriiev, Oleksii Lavrynenko, and Mykhailo Soroka. "Revealing the regularities related to the professional activities of the air traffic controller of airport traffic control tower." Technology audit and production reserves 3, no. 2(59) (June 30, 2021): 29–40. http://dx.doi.org/10.15587/2706-5448.2021.235456.
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The object of research is the professional activity of an air traffic controller of the airport traffic control tower (henceforth Tower controller). The subject of research is the regularities revealing in this specialist activity in the performance of its work responsibility for the trainee reference model formation in the intelligent training system «ATC of Tower». One of the most problematic areas is the lack of training systems that would allow for independent training of these aviation specialists, whose knowledge assessment would be automatic and objective. The study used methods of analysis, combined timing, synthesis, statistical analysis and probabilistic modelling. The approach to data collection and analysis proposed as part of study made it possible to obtain an information flows circulation model at the Tower controller workplace and formalize the time characteristics of technological operations performed by it during the aircraft landing procedure. This is fundamentally important for the development of the trainee reference model of the intellectual training system, as well as for the implementation of the training mode and automatic objective assessment of the student’s knowledge and skills. The approbation obtained results of this approach of data collection and analysis make it possible to consider it an effective tool for obtaining objective information about the subject area of the Tower controller’s professional activity, which is a complex continuous-discrete stochastic dynamic control system with a mixed structure. In contrast to the formation of reference models existing approaches, the approach to collecting and analysing data proposed in the work makes it possible to develop a trainee reference model that more fully describes the Tower controller’s activities. Also, the proposed model reflects the order of actions, and when interacting with the trainee current model, it allows to implement objective (without an instructor) automatic assessment.
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Zheleznov, Maxim. "Development of the information modeling (BIM) conceptusing Big Data technologies for the implementation of the life cycle management system for capital construction of transport infrastructure." E3S Web of Conferences 281 (2021): 04010. http://dx.doi.org/10.1051/e3sconf/202128104010.
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The development of a scientific concept of information modeling in the tasks of managing the capital construction objects’ life cycle is the key to the successful transition of Russian Railways Holding to digital methods of managing and controlling transport infrastructure. The result of the presented complex project implementation will be the scientific basis for the life cycle information modeling concept and information modeling methodology implementation at its stages. Taking into account the rapid increase in the volume of construction information, the development of automatic systems for collecting, processing and storing information, it is proposed to apply Big Data technologies. The project results are planned to be used as a basis for the pilot information modeling technologies’ development at the stages of the railway infrastructure construction objects’ life cycle.
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Stefanov, W. L., and C. A. Evans. "Data Collection for Disaster Response from the International Space Station." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-7/W3 (April 29, 2015): 851–55. http://dx.doi.org/10.5194/isprsarchives-xl-7-w3-851-2015.
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Remotely sensed data acquired by orbital sensor systems has emerged as a vital tool to identify the extent of damage resulting from a natural disaster, as well as providing near-real time mapping support to response efforts on the ground and humanitarian aid efforts. The International Space Station (ISS) is a unique terrestrial remote sensing platform for acquiring disaster response imagery. Unlike automated remote-sensing platforms it has a human crew; is equipped with both internal and externally-mounted remote sensing instruments; and has an inclined, low-Earth orbit that provides variable views and lighting (day and night) over 90 percent of the inhabited surface of the Earth. As such, it provides a useful complement to autonomous sensor systems in higher altitude polar orbits. NASA remote sensing assets on the station began collecting International Charter, Space and Major Disasters, also known informally as the International Disaster Charter (IDC) response data in May 2012. Since the start of IDC response in 2012, and as of late March 2015, there have been 123 IDC activations; NASA sensor systems have collected data for thirty-four of these events. Of the successful data collections, eight involved two or more ISS sensor systems responding to the same event. Data has also been collected by International Partners in response to natural disasters, most notably JAXA and Roscosmos/Energia through the Urugan program.
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Chivilikhin, Daniil, Sandeep Patil, Konstantin Chukharev, Anthony Cordonnier, and Valeriy Vyatkin. "Automatic State Machine Reconstruction From Legacy Programmable Logic Controller Using Data Collection and SAT Solver." IEEE Transactions on Industrial Informatics 16, no. 12 (December 2020): 7821–31. http://dx.doi.org/10.1109/tii.2020.2992235.
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Funk, Mathias, and Nico Hamacher. "Concept of Automatic Usability Evaluation of Safety-Critical Interactive Systems in the Field (Konzept der automatischen Bewertung der Gebrauchstauglichkeit sicherheitskritischer Systeme)." i-com 7, no. 1/2008 (April 2008): 18–23. http://dx.doi.org/10.1524/icom.2008.0004.
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SummaryThe usability of interactive systems is an important attribute, especially for safety-critical devices like driver information systems. The functional complexity of such devices is increasing. Traditional user testing during development often fails to provide necessary data for an appropriate usability evaluation. In this work an approach for in-the-field usage data collection using the D'PUIS framework and automatic evaluation with the REVISER evaluation tool is introduced.
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Jacyna, Marianna, Emilian Szczepański, Mariusz Izdebski, Sławomir Jasiński, and Mariusz Maciejewski. "Characteristics of event recorders in Automatic Train Control systems." Archives of Transport 46, no. 2 (June 30, 2018): 61–70. http://dx.doi.org/10.5604/01.3001.0012.2103.
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The development of railway transport in the current times is very noticeable, it is connected with the growing needs of movement as well as the development of information engineering. The increase in the demand for transport requires the implementation of solutions that increase the efficiency of the transport system. Both long-distance, agglomeration and metro railways can use different systems due to their specificity. Nevertheless, there is a noticeable trend in the development of systems supporting or even replacing the driver by the automation of selected activities. Such systems allow to reduce trains headway and thus increase the capacity of the line. CBTC class systems (Communications-based train control) belong to automatic train systems and are based on wireless transmission. The main purpose of using such systems is to increase the frequency of running trains while maintaining the level of safety. Computers that are on the system equipment record, process and analyse very large amounts of data. An essential element of such systems are recording units. The parameter recorders can be divided into technical and legal ones. However, for CBTC class systems, there is no obligation or requirement to use legal recorders as it is in the case of ETCS. However, it is necessary to use event recorders, and these are subject to the requirements set out in the PN-EN 62625-1: 2014 standard. The recorders are a very important component of safety systems, which is why they were analysed in this article. Both the driver, the vehicle and the infrastructure should be subject of continuous monitoring. The occurrence of an adverse event (not necessarily leading to an incident or accident) should be analysed and used to improve safety procedures. Currently, automatic systems are still developing and we are not able to accurately assess what the causes and effects of certain events may be, which is why data collection and analysis is particularly important. The article presents the general specification of the CBTC system. The parameters and properties of driving recorders should be presented. This article is co-financed by the European Union POIR.01.01.01-00-0276/17
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Muñiz, Rubén, Juan Díaz, Juan A. Martínez, Fernando Nuño, Julio Bobes, Mᵃ Paz García-Portilla, and Pilar A. Sáiz. "A Smart Band for Automatic Supervision of Restrained Patients in a Hospital Environment." Sensors 20, no. 18 (September 12, 2020): 5211. http://dx.doi.org/10.3390/s20185211.
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Mechanical contention (MC) is a restrictive, vital but controversial measure, prescribed in the majority of EU countries to handle patients with psycho-motor agitation that do not respond to other types of intervention, with an imminent risk of physical violence and aggression involved. This last resort approach implies risks for the somatic health of the contained individual that go from trauma injuries to, in some extreme cases, sudden death. Despite these risks, somatic supervision and the monitoring of patients under MC is limited, being periodically and manually carried out by nursing personnel with portable equipment. In this context, ensuring continuous monitoring using fully automated equipment is an uncovered yet urgent need. There are several devices already in the market capable of monitoring vital signs, but they are not specifically designed for these type of patients and they can be expensive and/or difficult to integrate with other systems from a software perspective. The work described in this paper gives answers to these necessities with the introduction of a low-cost system, targeted at psychiatric patients, for the acquisition and wireless transmission in real-time of physiological parameters, making use of micro-controllers for collecting and processing sensor data, and WiFi technology to upload the information to the server where a patient’s profile with all the relevant vital parameters resides. In addition to data collection and processing, an application aimed at use by nursing staff has also been developed to raise alerts in case any critical condition is detected.
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Dyduch, Janusz, and Roman Pniewski. "Concept of measuring force adjustment of crossover drives." Transportation Overview - Przeglad Komunikacyjny 2016, no. 12 (December 1, 2016): 37–42. http://dx.doi.org/10.35117/a_eng_16_12_05.
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As part of the project in the Department of Control Systems in Transport it has been developed a system for automatic data collection and automatic forecasting the status of railway signalling devices. In the frame of the project it was also developed a prototype system for wireless measurement of currents in drive motor together with parameters of environment. The system will be used for the automatic diagnosis of crossover drives.
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Boden, Christoph, Tilmann Rabl, and Volker Markl. "The Berlin Big Data Center (BBDC)." it - Information Technology 60, no. 5-6 (December 19, 2018): 321–26. http://dx.doi.org/10.1515/itit-2018-0016.
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Abstract The last decade has been characterized by the collection and availability of unprecedented amounts of data due to rapidly decreasing storage costs and the omnipresence of sensors and data-producing global online-services. In order to process and analyze this data deluge, novel distributed data processing systems resting on the paradigm of data flow such as Apache Hadoop, Apache Spark, or Apache Flink were built and have been scaled to tens of thousands of machines. However, writing efficient implementations of data analysis programs on these systems requires a deep understanding of systems programming, prohibiting large groups of data scientists and analysts from efficiently using this technology. In this article, we present some of the main achievements of the research carried out by the Berlin Big Data Cente (BBDC). We introduce the two domain-specific languages Emma and LARA, which are deeply embedded in Scala and enable declarative specification and the automatic parallelization of data analysis programs, the PEEL Framework for transparent and reproducible benchmark experiments of distributed data processing systems, approaches to foster the interpretability of machine learning models and finally provide an overview of the challenges to be addressed in the second phase of the BBDC.
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Fassi, F., and C. Campanella. "FROM DAGUERREOTYPES TO DIGITAL AUTOMATIC PHOTOGRAMMETRY. APPLICATIONS AND LIMITS FOR THE BUILT HERITAGE PROJECT." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-5/W1 (May 15, 2017): 313–19. http://dx.doi.org/10.5194/isprs-archives-xlii-5-w1-313-2017.
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This paper will describe the evolutionary stages that shaped and built, over the time, a robust and solid relationship between ‘indirect survey methods’ and knowledge of the ‘architectural matter’, aiming at producing a conservation project for the built heritage. <br><br> Collecting architectural data by simply drawing them was considered to be inadequate by John Ruskin already in 1845. He strongly felt the need to fix them through that ‘blessed’ invention that was the ‘daguerreotype’. Today taking simple photographs is not enough: it is crucial to develop systems able to provide the best graphics supports (possibly in the third dimension) for the development and editing of the architectural project. <br><br> This paper will focus not only on the re-examination of historical data, on the research and representation of the ‘sign’, but also on the evolution of technologies and ‘reading methods’, in order to highlight their strengths and weaknesses in the real practice of conservation project and in the use of the architectures of the past.
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Chiu, Chih-Ming, Shao-Shin Hung, and Jyh-Jong Tsay. "Automatic Modeling of Frequent Behaviors of Avatars and Players in a On Line Game." International Journal of Virtual Reality 10, no. 1 (January 1, 2011): 5–11. http://dx.doi.org/10.20870/ijvr.2011.10.1.2795.
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Millions of people now participate in on line games, placing tremendous and often unpredictable maintenance burdens on their operators. Thus, understanding the dynamic behaviors of a player is critical for the systems, network, and designers. To the best of our knowledge, little work builds character interaction model based on the data stream mining. This work improves our understanding the behaviors of avatar/player in a on line game by collecting the behavior data, extracting frequent behavior patterns, learning the hidden hints and making good prediction on responses to the unexpected impacts. Besides, we develop two efficient approaches for mining the behavior data to find the interesting behavior pattern for future prediction on responses of opponents. Our novel findings include the following: One, due to the constraints of limited resources of time, memory, and sample size, MSS-MB was proposed to meet these conditions; the other, due to the constraints of real-time and on-line, there may have some errors occurred in the processing period, MSS-BE was proposed to control the errors as needed. Finally, based on the experimental results, we can predict the responses of opponents efficiently in the on line game.
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Clipa, Teofan, and Giorgio Maria Di Nunzio. "A Study on Ranking Fusion Approaches for the Retrieval of Medical Publications." Information 11, no. 2 (February 14, 2020): 103. http://dx.doi.org/10.3390/info11020103.
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In this work, we compare and analyze a variety of approaches in the task of medical publication retrieval and, in particular, for the Technology Assisted Review (TAR) task. This problem consists in the process of collecting articles that summarize all evidence that has been published regarding a certain medical topic. This task requires long search sessions by experts in the field of medicine. For this reason, semi-automatic approaches are essential for supporting these types of searches when the amount of data exceeds the limits of users. In this paper, we use state-of-the-art models and weighting schemes with different types of preprocessing as well as query expansion (QE) and relevance feedback (RF) approaches in order to study the best combination for this particular task. We also tested word embeddings representation of documents and queries in addition to three different ranking fusion approaches to see if the merged runs perform better than the single models. In order to make our results reproducible, we have used the collection provided by the Conference and Labs Evaluation Forum (CLEF) eHealth tasks. Query expansion and relevance feedback greatly improve the performance while the fusion of different rankings does not perform well in this task. The statistical analysis showed that, in general, the performance of the system does not depend much on the type of text preprocessing but on which weighting scheme is applied.
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Apeltauer, J., A. Babinec, D. Herman, and T. Apeltauer. "AUTOMATIC VEHICLE TRAJECTORY EXTRACTION FOR TRAFFIC ANALYSIS FROM AERIAL VIDEO DATA." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-3/W2 (March 10, 2015): 9–15. http://dx.doi.org/10.5194/isprsarchives-xl-3-w2-9-2015.
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This paper presents a new approach to simultaneous detection and tracking of vehicles moving through an intersection in aerial images acquired by an unmanned aerial vehicle (UAV). Detailed analysis of spatial and temporal utilization of an intersection is an important step for its design evaluation and further traffic inspection. Traffic flow at intersections is typically very dynamic and requires continuous and accurate monitoring systems. Conventional traffic surveillance relies on a set of fixed cameras or other detectors, requiring a high density of the said devices in order to monitor the intersection in its entirety and to provide data in sufficient quality. Alternatively, a UAV can be converted to a very agile and responsive mobile sensing platform for data collection from such large scenes. However, manual vehicle annotation in aerial images would involve tremendous effort. In this paper, the proposed combination of vehicle detection and tracking aims to tackle the problem of automatic traffic analysis at an intersection from visual data. The presented method has been evaluated in several real-life scenarios.