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Full-Text Articles in Computer Engineering
Autonomous Pipeline Monitoring And Maintenance System: A Rfid-Based Approach, Jong-Hoon Kim, Gokarna Sharma, Noureddine Boudriga, S.S. Iyengar, Nagarajan Prabakar
Autonomous Pipeline Monitoring And Maintenance System: A Rfid-Based Approach, Jong-Hoon Kim, Gokarna Sharma, Noureddine Boudriga, S.S. Iyengar, Nagarajan Prabakar
School of Computing and Information Sciences
Pipeline networks are one of the key infrastructures of our modern life. Proactive monitoring and frequent inspection of pipeline networks are very important for sustaining their safe and efficient functionalities. Existing monitoring and maintenance approaches are costly and inefficient because pipelines can be installed in large scale and in an inaccessible and hazardous environment. To overcome these challenges, we propose a novel Radio Frequency IDentification (RFID)-based Autonomous Maintenance system for Pipelines, called RAMP, which combines robotic, sensing, and RFID technologies for efficient and accurate inspection, corrective reparation, and precise geo-location information. RAMP can provide not only economical and scalable remedy …
Presee: An Mdl/Mml Algorithm To Time-Series Stream Segmenting, Kaikuo Xu, Yexi Jiang, Mingjie Tang, Changan Yuan, Changjie Tang
Presee: An Mdl/Mml Algorithm To Time-Series Stream Segmenting, Kaikuo Xu, Yexi Jiang, Mingjie Tang, Changan Yuan, Changjie Tang
School of Computing and Information Sciences
Time-series stream is one of the most common data types in data mining field. It is prevalent in fields such as stock market, ecology, and medical care. Segmentation is a key step to accelerate the processing speed of time-series stream mining. Previous algorithms for segmentingmainly focused on the issue of ameliorating precision instead of payingmuch attention to the efficiency. Moreover, the performance of these algorithms depends heavily on parameters, which are hard for the users to set. In this paper, we propose PRESEE (parameter-free, real-time, and scalable time-series stream segmenting algorithm), which greatly improves the efficiency of time-series stream segmenting. …
Quality Of Experience Evaluation Of Voice Communication: An Affect-Based Approach, Abhishek Bhattacharya, Wanmin Wu, Zhenya Wang
Quality Of Experience Evaluation Of Voice Communication: An Affect-Based Approach, Abhishek Bhattacharya, Wanmin Wu, Zhenya Wang
School of Computing and Information Sciences
Voice communication systems such as Voice-over IP (VoIP), Public Switched Telephone Networks, and Mobile Telephone Networks, are an integral means of human tele-interaction. These systems pose distinctive challenges due to their unique characteristics such as low volume, burstiness and stringent delay/loss requirements across heterogeneous underlying network technologies. Effective quality evaluation methodologies are important for system development and refinement, particularly by adopting user feedback based measurement. Presently, most of the evaluation models are system-centric (Quality of Service or QoS-based), which questioned us to explore a user-centric (Quality of Experience or QoE-based) approach as a step towards the human-centric paradigm of system …