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The 3rd International Workshop on Scientific Use of Submarine Cables and Related Technologies, 2003.最新文献

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Evolutionary neural network-based sensor self-calibration scheme using IEEE 1451 and wireless sensor networks 基于IEEE 1451和无线传感器网络的进化神经网络传感器自校准方案
The 3rd International Workshop on Scientific Use of Submarine Cables and Related Technologies, 2003. Pub Date : 2003-07-29 DOI: 10.1109/CIMSA.2003.1227198
R. Abielmona, V. Groza, E. Petriu
{"title":"Evolutionary neural network-based sensor self-calibration scheme using IEEE 1451 and wireless sensor networks","authors":"R. Abielmona, V. Groza, E. Petriu","doi":"10.1109/CIMSA.2003.1227198","DOIUrl":"https://doi.org/10.1109/CIMSA.2003.1227198","url":null,"abstract":"Plug-and-play sensor self-calibrating technology is presented in this paper. The solution involves the evolution and tuning of a neural network (NN), through a genetic algorithm (GA). The former is utilized to interface to a sensor, on-board a robotic sensor agent. Multiple NN interfaces can be utilized for multiple sensors, hence providing for a parallel and scalable system. The system introduces the \"sense remotely, actuate immediately\" concept, along with an analysis of a completely pervasive and sentient environment, in which sensors provide the user with real-time and wireless sensory information, while actuators provision for the user's response to the filtered data, streaming from the plethora of intelligent sensors.","PeriodicalId":199467,"journal":{"name":"The 3rd International Workshop on Scientific Use of Submarine Cables and Related Technologies, 2003.","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125860395","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 5
Evaluating the impact of the user profile dimension on its characterization effectiveness: method based on the evaluation of user community organizations quality 评估用户轮廓维度对其表征有效性的影响:基于用户社区组织质量评价的方法
The 3rd International Workshop on Scientific Use of Submarine Cables and Related Technologies, 2003. Pub Date : 2003-07-29 DOI: 10.1109/CIMSA.2003.1227215
L. Lancieri, N. Durand
{"title":"Evaluating the impact of the user profile dimension on its characterization effectiveness: method based on the evaluation of user community organizations quality","authors":"L. Lancieri, N. Durand","doi":"10.1109/CIMSA.2003.1227215","DOIUrl":"https://doi.org/10.1109/CIMSA.2003.1227215","url":null,"abstract":"This paper studies the effect of the users' profile size (weighted set of keywords) on the efficiency of the measurement. The goal is not directly to identify the better dimension but to understand its influence on the quality of the result. We show that contrary to what common sense suggests, high dimension profile (high level of knowledge about users) reduces the precision of the measurement. To obtain this result, we develop a metric comparison method based on the evaluation of cluster organization quality. One of the main practical applications of this result is that: more than better precision, reduced profiles speed up computation time and reduce needed resources. We also discuss more theoretical possible conclusions and application of our work in the context of community characterization.","PeriodicalId":199467,"journal":{"name":"The 3rd International Workshop on Scientific Use of Submarine Cables and Related Technologies, 2003.","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127338487","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 6
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