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One of many important activities in the Wireless Sensor Network is the localization for tracked devices. Received Signal Strength (RSS) is a parameter of the power level that being received by the radio which can be used to track the location of the devices. This paper evaluates the localization of ZigBee devices which uses RSS fingerprinting by artificial neural networks. The RSS data processing...
Indoor localization system is an important topic in the wireless navigation system. Many technologies, such as Wi-Fi, Bluetooth, and ZigBee, have been developed for the indoor localization system; however, these systems still demonstrate poor accuracy and performance. The indoor localization system using Wi-Fi signals is the best option for indoor localization because most of the buildings are covered...
This paper proposes a blind interleaver period estimation algorithm by sorting error-less symbols. After finding the error-less symbols through the rank distribution of the square matrices, we construct a rectangular matrix by locating errorless symbols on the top of a matrix. By analyzing this matrix, we can estimate the interleaver period. Experimental results show that the proposed algorithm has...
Recently many industries and companies are developing machine learning algorithms and services, and they are publishing them on the internet. However, because most of people who want to use the machine learning services to analyze data are familiar with sheet data rather than programming language, it is difficult to use those services written in programming language. For the reason, we developed a...
In this paper, we attempt to manage GC overhead at the operating system level. In our approach, first, we use a machine learning technique to devise a GC detecting mechanism at the operating system level, and second, we show that by making use of this mechanism performance variance normally observed on SSDs can be reduced. We develop a GC-detector that detects garbage collection of SSDs and request...
Machine learning is currently a hot research topic and applied in intelligence transportation system to discover new valuable knowledge and patterns. In this paper, we extract trajectory information from popular traffic simulator and apply it into four different machine learning methods. In the case of the Gangnam district in Seoul, the Gradient Boosting Regression has better fit with lower values...
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