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This paper presents an effective method for improving the accuracy of sleep detection using actigraphic algorithm. We have collected 2 sets of comparative data, wrist movement acceleration and brain wave analysis. In the first mode, we use the acceleration on x-axis as the input of actigraphic algorithm, in imitation of uni-axial accelerometer used in former study. In the second mode, we calculate...
In this paper, we study on the popularity prediction of online user-generated contents, where high quality predictions give us much more flexibility and preparing time in deploying limited resources (such as advertising budget, monitoring capacity) into more popular contents. However the high retrieval cost of data used in prediction is a big challenge due to the large amount of users and contents...
Ensuring high reliability of large-scale clusters is becoming more critical as the size of these machines continues to grow, since this increases the complexity and amount of interactions between different nodes and thus results in a high failure frequency. For this reason, predicting node failures in order to prevent errors from happening in the first place has become extremely valuable. A common...
Energy disaggregation is to discover the energy consumption of individual appliances from their aggregated energy values. To solve the problem, most existing approaches rely on either appliances' signatures or their state transition patterns, both hard to obtain in practice. Aiming at developing a simple, universal model that works without depending on sophisticated machine learning techniques or...
Malicious program or malware is a computer program which was written intentionally to harm computing system. Malware protection involves several sub-tasks namely Monitoring, Prevention, Analysis, Detection, Removal and Recovery. This paper proposes a static heuristic based scoring system that gives a maliciousness score to portable executable files. Malicious score can be used at different stage of...
Most of people likes living independently at home. Some activity in our daily life is prone to have some accidents, such as falls. Falls can make people in fatal conditions, even death. A prototype of fall detection system using accelerometer and gyroscope based on smartphone is presented in this paper. Accelerometer and gyroscope sensors are embedded in smartphone to get the result of fall detection...
The use of Wireless Sensor Network (WSN) has been widely used in many fields, especially for environmental monitoring. This present study attempts to apply the WSN technology into the retail industry or the modern market. Utilizing barcode scanning technology as a medium of sensors that are commonly used, combined with a microcontroller and XBee modules as data transmission module. This study adds...
Monitoring energy consumption of servers is a major need in data centers for energy management. Presently, most data centers use smart Power Distribution Unit (PDU) to supply energy to their servers and at the same time to monitor the servers' energy consumption. However, these PDUs are costly since these are not manufactured in the Philippines and have to be procured overseas. Hence, this project...
This paper innovatively proposes a shortwave direction finding (DF) and crossing location (CL) algorithm based on an improved clustering and outlier detection method. The proposed algorithm can reject the scattered azimuths and revise the error monitoring data using the improved clustering and outlier detection method. By practical verification, the quantified results prove that compared to the traditional...
Online power measurement is one of the power measurements in smartphones which would allow us to measure the energy consumption of smartphones without using external devices. This online method depends on a built-in BMU (Battery Monitoring Unit). BMU is a chip which can gather relative data of the battery and submit them to the upper level. The current data which BMUs submit in the past is the average...
The proliferation of RF-based indoor localization solutions raises the need for testing systems that enable objective evaluation of their functional and non functional properties. We introduce a testbed and cloud infrastructure for supporting automatized benchmarking of RF-based indoor localization solutions under controlled interference. For evaluating the impact of RF interference on the performance...
Central Data Processing System(CDPS) in NARO Space Center plays a key role of real-time data processing acquired from several ground tracking systems such as tracking radar, ground telemetry station and electro-optical tracking system. The processed data by Central Data Processing System is used for flight safety monitoring purposes and target designation of tracking stations on initial locking on...
In this contribution, a Direction Finding (DF) compact array made of electrically small double-polarized passive radiating element in the 100MHz–1GHz frequency band is presented, and the preliminary results discussed. This solution is devised for the low band (VHF / UHF) subsystem of an airborne ELINT system installed by Elettronica S.p.A. on two SIGINT aircrafts. The main driving factors of the design...
National Technical University of Ukraine “Kyiv Polytechnic Institute” develops and offers unmanned aerial vehicles for using in many areas of civil and military applications.
This paper presents a design solution for a high precision current-shunt monitor allowing input common-mode levels from −0.3V to 30V, independent of the supply voltage. The maximum referred to input offset voltage is ±10μV, over the entire common-mode input range. The proposed configuration has a fixed gain of 200 and exhibits a maximum gain error of 0.1%. The supply voltage can vary between 2.6V...
The increasing demand for monitoring capabilities required by ocean acidification survey programs is forcing sensor developers to find suitable arrangements for long-term, drift-free deployments. The increasing application of microtechnology will help the development of fault-free, calibration-free solid state probes. Spectrophotometry already helps oceanographers in retrieving fundamental datasets...
Chronic diseases are gradually becoming the principal factors of harm to people's health. Fortunately, the development of e-health provides a novel thought for chronic disease prevention and treatment. This paper focuses on the research of cardiovascular disease (CVDs) prevention and early warning techniques using e-health and data mining. In this paper, we will use weighted associative classification...
The German federal constitutional court ruled, in 2009, that elections had to have a public nature. EasyVote, a promising hybrid electronic voting system for conducting elections with complex voting rules and huge ballots, meets this requirement. Two assumptions need to hold, however. The first is that voters will verify the human-readable part of the EasyVote ballot and detect discrepancies. Secondly,...
The gold standard test for sleep apnea-hypopnea syndrome is full-night polysomnography (PSG). However, PSG with multiple electrodes is extremely stressful for patients. We have developed a non-contact screening system using two Doppler radars. We propose two methods for the diagnosis: the first is a time-varying amplitude baseline method, and the second is a hypopnea detecting technique that focuses...
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