Due to its continuously increasing occurrence, more and families are influenced by diabetes mellitus. Most diabetics know little about their health quality or the risk factors they face prior diagnosis. In this study, we have proposed a novel model based on data mining techniques for predicting type 2 mellitus (T2DM). The main problems that trying solve improve accuracy of prediction model, make adaptive than one dataset. Based series preprocessing procedures, is comprised two parts,...

The activity model based on 3D acceleration and gyroscope is created in this paper, the difference between activities of daily living (ADLs) falls analyzed at first. Meanwhile, kNN algorithm sliding window are introduced to develop a smart device enabled system for fall detection alert, which composed wearable motion sensor board phone. integrated with triaxial accelerometer, gyroscope, Bluetooth attached custom vest worn by elderly capture reluctant angular velocity ADLs real time. stream...

Falls are one of the main health risks among elderly. A fall detection system based on inertial sensors can automatically detect event and alert a caregiver for immediate assistance, so as to reduce injuries causing by falls. Nevertheless, most sensor-based technologies have focused accuracy while neglecting quantization noise caused sensor. In this paper, an activity model tri-axial acceleration gyroscope is proposed, difference between activities daily living (ADLs) falls analyzed....

The Bluetooth-based wearable fall detection technology faces problems such as short transmission distance, easily interfered by obstacles, and high-power consumption. To address these issues, we developed a sensor board integrated with low-power ZigBee MPU6050, which can sample cache three-axial acceleration angular velocity data in the sleep mode; also designed an interrupt-driven algorithm that collect transmit to receiving end (namely server) consumption via ZigBee. Additionally, received...

This paper presents information on a portable fall detection and alerting system mainly consisting of custom vest mobile smart phone. A wearable motion sensor integrated with tri-axial accelerometer, gyroscope Bluetooth is built into worn by elderly. The can capture the reluctant acceleration angular velocity about activities daily living (ADLs) elderly in real time. data via then sent to phone running program based k-NN algorithm. When occurs alert family member or health care center...

Electromigration (EM) is considered to be one of the most important reliability issues for current and future ICs in 10nm technology below. In this paper we focus on EM stress evaluation one-dimensional multi-segment interconnect wires which all segments have same direction, a common routing structure power grid networks. The proposed method, based integral transform technique, could efficiently calculate hydrostatic evolution metal stressed with different densities. new method can also...

A fall detection module is an important component of community-based care for the elderly to reduce their health risk. It requires accuracy detections as well maintains energy saving. In order meet above requirements, a sensing module-integrated energy-efficient sensor was developed which can sense and cache data human activity in sleep mode, interrupt-driven algorithm proposed transmit server integrated with ZigBee. Secondly, deep neural network (FD-DNN) running on carefully designed detect...

General reference models are essential for the ambient intelligence (AmI) system design, and they should be clear simple both in terms of physical structure software architecture. In this paper, we introduce a conceptual model. According to model, present model multiagent based architecture following step. We also give data management mechanism AmI environment. To evaluate our models, implement them prototype ldquoSmart-Ovenrdquo system. Our suitable rapid modeling development; can help...

Driving fatigue has been considered as a significant risk factor in transportation accidents, and the development of human cognitive state based on electroencephalogram (EEG) become major focus field driving safety. However, it faces portable real-time problems its practical application. This study uses MindWave to collect Attention Meditation EEG from left prefrontal lobe subject, relation between when subject is concentration, relaxation, sleep being measured first. As result, new method...

This paper presents information on an autonomous fall detection and alerting system mainly consisting of a custom vest mobile smart phone. A 3-axial accelerator gyroscope with main board Bluetooth are built into worn by elderly. The can capture the data about activities daily living (ADLs) elderly in real time. via is then sent to phone equipped threshold-based algorithm based angular velocity. When occurs alert family member or health care center through call emergent text message global...

The sense of touch plays a crucial role in interactive behavior within virtual spaces, particularly when visual attention is absent. Although haptic feedback has been widely used to compensate for the lack cues, use tactile information as predictive feedforward cue guide hand movements remains unexplored and lacks theoretical understanding. This study introduces fingertip aero-haptic rendering method investigate its effectiveness directing during eyes-free spatial interactions. wearable...

Electromigration (EM) becomes one of the most challenging reliability issues for current and future ICs in 10nm technology below. In this paper, we propose a new analsys method EM hydrostatic stress evolution multi-branch interconnect trees, which is foundation assessment large scale on-chip networks, such as power grid networks. The proposed method, based on eigenfunctions technique, could efficiently calculate trees stressed with different densities non-uniformly distributed thermal...

Wearable sensor-based HAR (human activity recognition) is a popular human perception method. However, due to the lack of unified model, number and positions sensors in existing wearable systems are not same, which affects promotion application. In this paper, an information gain-based model established, attention-based recurrent neural network (namely Attention-RNN) for recognition designed. Besides, attention-RNN, combines bidirectional long short-term memory (BiLSTM) with attention...

According to the features of high embedded ability, intelligence and mobility in Ambient Intelligence (namely AmI), data flow context-aware AmI environment is analyzed at first, so a Multi-Agent system based MAS-Based) architecture proposed. Meanwhile, an experimental (AmI-Space) built on MAS-Based introduced, Center being part AmI-Space described detailedly. It demonstrated by practice that fit for characters modularization, distribution, scalability complexity owned computing unit, base...

Radio Frequency Identification (RFID) technologies have been standardized and commercialized, but privacy problem is a major challenge due to no ideal solution used in RFID system. We propose an efficient authentication protocol conforming the EPCglobal standard for security system solve such as tracing eavesdropping. Firstly we provide comprehensive discussion of problems current technologies. Secondly illustrate structure protocol. Thirdly describe how mutual encrypted communication are...

The bus passenger data are very important for urban dispatching management. When passengers get on or off the bus, they often hide from each other. It is a great challenge automatically accounting through camera. traditionally video-based target detection algorithm tracking difficult to accurately count number of and off. In this paper, YOLOv2 combined with MIL tracker so as real-time account in surveillance video. Experiment shows that accuracy rate statistics proposed paper reaches over...