The Experts below are selected from a list of 105 Experts worldwide ranked by ideXlab platform
Marina Zanella - One of the best experts on this subject based on the ideXlab platform.
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Monitoring of Active Systems With Stratified Uncertain Observations
IEEE Transactions on Systems Man and Cybernetics - Part A: Systems and Humans, 2011Co-Authors: Gianfranco Lamperti, Marina ZanellaAbstract:In Monitoring-based diagnosis of active systems, the observation is fragmented over time: at the occurrence of each fragment, the internal representation of the observation received so far is updated, new Monitoring states are estimated, and a new set of candidate diagnoses is Output. When the observation is temporally uncertain, a problem arises about the dependability of the Monitoring Output: Two consecutive sets of diagnoses, relevant to two consecutive observation fragments, may be unrelated to one another, and, even worse, they may be unrelated to the actual diagnosis. To cope with this problem, the notion of monotonic Monitoring is introduced, which is supported by specific constraints on the fragmentation of the uncertain temporal observation, leading to the notion of stratification. Stratified observations support monotonic Monitoring of active systems.
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ICEIS - Monotonic Monitoring of Discrete-Event Systems with Uncertain Temporal Observations
Enterprise Information Systems, 2009Co-Authors: Gianfranco Lamperti, Marina ZanellaAbstract:In discrete-event system Monitoring, the observation is fragmented over time and a set of candidate diagnoses is Output at the reception of each fragment (so as to allow for possible control and recovery actions). When the observation is uncertain (typically, a DAG with partial temporal ordering) a problem arises about the significance of the Monitoring Output: two sets of diagnoses, relevant to two consecutive observation fragments, may be unrelated to one another, and, even worse, they may be unrelated to the actual diagnosis. To cope with this problem, the notion of monotonic Monitoring is introduced, which is supported by specific constraints on the fragmentation of the uncertain temporal observation, leading to the notion of stratification. The paper shows that only under stratified observations can significant Monitoring results be guaranteed.
Sparsh Mittal - One of the best experts on this subject based on the ideXlab platform.
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A Survey of Techniques for Approximate Computing
ACM Computing Surveys, 2016Co-Authors: Sparsh MittalAbstract:Approximate computing trades off computation quality with effort expended, and as rising performance demands confront plateauing resource budgets, approximate computing has become not merely attractive, but even imperative. In this article, we present a survey of techniques for approximate computing (AC). We discuss strategies for finding approximable program portions and Monitoring Output quality, techniques for using AC in different processing units (e.g., CPU, GPU, and FPGA), processor components, memory technologies, and so forth, as well as programming frameworks for AC. We classify these techniques based on several key characteristics to emphasize their similarities and differences. The aim of this article is to provide insights to researchers into working of AC techniques and inspire more efforts in this area to make AC the mainstream computing approach in future systems.
Gianfranco Lamperti - One of the best experts on this subject based on the ideXlab platform.
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Monitoring of Active Systems With Stratified Uncertain Observations
IEEE Transactions on Systems Man and Cybernetics - Part A: Systems and Humans, 2011Co-Authors: Gianfranco Lamperti, Marina ZanellaAbstract:In Monitoring-based diagnosis of active systems, the observation is fragmented over time: at the occurrence of each fragment, the internal representation of the observation received so far is updated, new Monitoring states are estimated, and a new set of candidate diagnoses is Output. When the observation is temporally uncertain, a problem arises about the dependability of the Monitoring Output: Two consecutive sets of diagnoses, relevant to two consecutive observation fragments, may be unrelated to one another, and, even worse, they may be unrelated to the actual diagnosis. To cope with this problem, the notion of monotonic Monitoring is introduced, which is supported by specific constraints on the fragmentation of the uncertain temporal observation, leading to the notion of stratification. Stratified observations support monotonic Monitoring of active systems.
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ICEIS - Monotonic Monitoring of Discrete-Event Systems with Uncertain Temporal Observations
Enterprise Information Systems, 2009Co-Authors: Gianfranco Lamperti, Marina ZanellaAbstract:In discrete-event system Monitoring, the observation is fragmented over time and a set of candidate diagnoses is Output at the reception of each fragment (so as to allow for possible control and recovery actions). When the observation is uncertain (typically, a DAG with partial temporal ordering) a problem arises about the significance of the Monitoring Output: two sets of diagnoses, relevant to two consecutive observation fragments, may be unrelated to one another, and, even worse, they may be unrelated to the actual diagnosis. To cope with this problem, the notion of monotonic Monitoring is introduced, which is supported by specific constraints on the fragmentation of the uncertain temporal observation, leading to the notion of stratification. The paper shows that only under stratified observations can significant Monitoring results be guaranteed.
Saiful Manan - One of the best experts on this subject based on the ideXlab platform.
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SISTEM Monitoring VOLUME AIR MENGGUNAKAN SENSOR ULTRASONIK DAN Monitoring Output VOLUME AIR MENGGUNAKAN FLOW METER BERBASIS ARDUINO
Gema Teknologi, 2017Co-Authors: Servinta Damayanti Br Pelawi, Saiful MananAbstract:Servinta Damayanti Br Pelawi , Saiful Manan , in this paper explain that m ethod of realization of making purification and Monitoring volume of water, purification of water using small molecules such as sand, charcoal, cotton, etc. and Monitoring the volume of water using the HC-SR04 ultrasonic sensor. where this ultrasonic sensor will detect the water inside the sensor distance sensor to objects that is 2cm and 25cm. When the water has reached the limit of 2cm and 15cm then the buzzer will light up giving a warning. and will display on the HMI in the form of cm, to run the pump we click the start button at hmi the pump will turn on and the water inside the reservoir will enter reverse osmosis, Ro will process water, clean water will be read by the flow meter, flow meter will detect incoming water and will display the results in the HMI in the form liter, and Arduino UNO is used as a control system for HMI Output input signals, sensors, flow meters, and buzzers.
Simon Xuereb - One of the best experts on this subject based on the ideXlab platform.
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Optimising the Monitoring of tropical aquatic resources through the development of Indigenous scientific capability
Reviews in Fish Biology and Fisheries, 2016Co-Authors: Thor Saunders, Simon XuerebAbstract:Involving Indigenous community members to assist with the Monitoring of harvested populations can greatly assist with the sustainable use of these resources. The benefits of training Indigenous community members in western scientific methods include: increased capability development, increased employment opportunities and more cost effective Monitoring Output than could be undertaken by government agencies. The aim of this project was to develop a training course to provide elementary scientific skills to Indigenous participants from communities throughout the Northern Territory of Australia. The short term goals of the training were: (1) to increase the capacity of Indigenous communities to conduct Monitoring activities and collect biological and physical samples, (2) to increase the employment opportunities for Indigenous community members by providing them with additional skills and a recognised qualification and (3) To provide a cost effective way of conducting Monitoring activities in remote areas by using local capability rather than incurring the expense of sending a research team to these locations. The longer term goal of the training is to facilitate the development of research partnerships between Indigenous community members and management agencies as a first step in the move to co-management of aquatic resources. The key components for successfully developing the course were; consistent engagement with Indigenous communities to build relationships and identify priorities for both the community and government agency, the course content involved participation from community members and government scientists, the training addressed the needs of students with English as a second language, the course content was heavily practical and pictorial, assessments were verbal and/or practical and students were housed in accommodation that allowed them to conduct the course to the best of their ability. The research that has been conducted by the participants, as well as three students gaining employment in government research agencies since the completion of the course, suggest that the training has been successful in achieving its short term goals. The research partnerships that have been developed between the government agency and Indigenous community members are still in their infancy, so the move to co-management between these groups is still several years away. However, this training has provided an initial step in this process by increasing the Monitoring capability within a substantial number of coastal Indigenous communities that allows them to participate in research programs that underpin the management of their aquatic resources.