bluuebunny/crossref_metadata_2025_split huggingface dataset:
OSGi-Based Context-Aware Middleware for Building Intelligent Services in a Smart Home Environment
Authors: Cheng Shu-Chen , Lai Chien-Feng 
Published: November 2017

Abstract
Context awareness technology is a key technology of digital home that brings a more convenient life. Context awareness technology is a system that catches the information from the sensor network, which is built in environment, the network could get the environment data immediately, and through this data information that network provides, the system could do the exactly the right thing that help people’s like getting better. These information data could be location, temperature or humidity. However, these data are used by context awareness system to analysis and process, so as to realize different person in different environment using every kind of devices and through any different existing network system, and still could enjoy the personality applications and services in any time they want. This thesis proposed Intelligent Context-Aware Middleware is including system core modeling, context provider, context analysis model, reasoning system, scenario analysis model and some other APIs to achieve the context awareness system that a digital home needs. Besides, this middleware collaborates with OSGi framework in paralleled. In other words, this Intelligent Context-Aware Middleware is totally associated to each other, which means every new devices could be compatible to either OSGi framework or Intelligent Context-Aware Middleware this thesis proposed immediately
Modeling And Measurement System For Magnetic Field Distributions In Biological Structures
Authors: Marinova I. , Mateev V. , Endo H. , Saito Y. 
Published: November 2017

Abstract
In this paper we develop a system for modeling and measurement of magnetic field distributions in biological structures caused by the externally applied electromagnetic field. We describe an effective and versatile approach for three-dimensional reconstruction of the field distributions from two-dimensional visualization the measured magnetic field data. The finite element model for magnetic field calculation is built. The magnetic fields of very thin slices of the 3D object are determined and visualized. Using these 2D images as slices of 3D image and based on the field theory and image processing techniques we developed a reconstruction approach for 3D visualization of magnetic field. This approach combines new technologies of 3D visualizations and characterizes with flexibility, simplicity and portability. The proposed approach was successfully applied for 3D reconstruction and visualization of magnetic field and current distributions in biological structures. The virtual microscope is developed for investigations of magnetic field distributions in biological structures during magnetic stimulation. Anisotropic Magneto-Resistive (AMR) sensors are applied for magnetic field measurements. AMR sensors are combined in array probes in order to increase productivity of measurement process and improving the performance of probes.
A Simple And Countable Method For The Assessment Of Perceived Well-Being Among Elderly People
Authors: Reijula Jori , Rosendahl Toni , Reijula Kari , Linnavuo Matti , Sepponen Raimo 
Published: November 2017

Abstract
This report illustrates the technical design for the monitoring system of wellbeing and demonstrates its feasibility in elderly people. The Con-Dis device consists of three buttons with a happy, neutral or unhappy face, each describing the mood of the patient. The functionality of the device was tested on 5 test persons who were asked to demonstrate their state of well-being by pressing one of the three buttons representing present condition three times per day for a time period of one week (5 working days). The device is based on Atmel’s 8-bit AVR microcontroller, ATMEGA 128, placed on an AVR-MT-128 development board. The software used by the ATMEGA microcontroller was developed using the C language in the AVRStudio development environment. On the basis of the collected results, the Con-Dis - device functioned reliably in monitoring the perceived wellbeing and mood of the test persons.
Portable Automatic Conjecturing and Announcing System for RealTime Accident Detection
Authors: Lai Chin Feng , Liu Chen Ying , Chang Sung-Yen , Huang Yueh Min 
Published: November 2017

Abstract
In this paper, we propose the portable automatic conjecturing and announcing system for real-time accident detection. There are six sensors with 3-axis accelerometers and the ZigBee transmission standard mounted on the patients’ specific region. After being transmitted to the mobile device through the ZigBee devices, the data are analyzed immediately. When the accident occurs, the mobile device could get the user’s location with Assisted Global Positioning System (AGPS) and transmit the information of accident to the medical staff through the 3rd-generation (3G) network. The medical staff will make a careful check of this accident with the patient again. In order to improve the limit of Regional Health Network (RHN), the environment constraints, the mobile computing capability, the power consumption and the device portability are considered in this system architecture we proposed.
Adaptive Routing Protocol for Reliable Sensor Network Applications
Authors: Chen Jiann-Liang , Hsu Yu-Ming , Chang I-Cheng 
Published: November 2017

Abstract
The existing routing protocol for sensor networking can be divided into proactive routing protocol, reactive routing protocol and hybrid routing protocol. Each routing protocol has its merits and shortcomings. The lifetime will end when the working routing protocol can no longer support the whole wireless sensor network. An adaptive method based on redundancy node and dual routing protocol was proposed in the study. Redundancy node, when wireless sensor network is being deployed, can divide the wireless sensor network into operating and sleeping modes, and can use the different routing protocol. Dual routing protocol individually designs two kinds of different routing protocols in the sensor node, using the merits of these two different kinds of routing protocols to accomplish the mission of sending the data. The scenario set up is when the wireless sensor network has been used for a long time; the power kept in these sensor nodes is different. It is possible that some sensor nodes contain lower power because the heavy load of work, and some with more power because of less work load. After we send a query to the source node and unfortunately find out there is more than one wireless sensor in the routing path, and if there is power shortage, we can only query a message to send the sink to the source node. At the meantime, the source node will judge the storing condition of the power in all the sensor nodes when sending the query from the sink to the source node. Then the target wireless sensor will send a broadcast to all the neighbors. If there is a sleeping node in the neighbor and run a second kind of routing protocol, the sleeping wireless sensor will wake up. The woken sensor node will build up a path to ensure the data get sent from the source to the sink. Simulation results showed that the proposed mechanism is about 44% of packet delivery ratio can be increased compared to existing proactive/reactive routing protocol.
Non-Invasive Characterization of total Hip Arthroplasty by Means of Passive Acceleration Measurement
Authors: Lieschnegg M. , Zacherl M. , Lechner B. , Weger C. , Fuchs A. 
Published: November 2017

Abstract
This paper presents a non-invasive measurement method to detect and characterize failures and material imperfections in total joint prostheses based on acceleration measurement. Therefore, a prototype sensor has been developed to fulfill the requirements of a medical-technical sensor. This sensor has been tested on patients with total hip arthroplasty. Special emphasis is put on the real-time processing of measurement data by means of intelligent signal processing as well as reliable and repeatable measurement procedures, including standardized positions for the sensor front-end and a standardized motion-sequence the patient is performing.
Microstructuring of SU-8 Resist for MEMS and Bio-Applications
Authors: Dey P.K. , Pramanick B. , RaviShankar A. , Ganguly P. , Das S. 
Published: November 2017

Abstract
Some studies on the fabrication of micro-needles, micro-pillers, and micro-channels using SU-8 negative photoresist for MEMS and bio-applications are reported. The SU-8 processing technology was standardized for the purpose. Micro-pillars were fabricated on SU-8 polymer by soft lithographic technique. Micro-needles were realized on SU-8 film utilizing lensing effect of the etched groove structure of the glass substrate. Micro-channel was fabricated by molding of PDMS polymer on patterned SU-8 ridge structure. Structural characterization of the fabricated structures were investigated using optical microscope and SEM.
Dual Modality Tomography System Using Optical and Electrodynamic Sensors for Tomographic Imaging Solid Flow
Authors: Rahmat M. F. , Ibrahim S. , Elmajri M. M. , Mohammed N. F. , Isa M.D 
Published: November 2017

Abstract
Process tomography is a technique to realize flow imaging in a process vessel or pipeline by using the sensor system. This technique involves the use of tomographic imaging methods to manipulate data from sensors in order to collect sufficient information about the flow in the pipeline. The overall aim of this paper is to investigate the benefits of dual modality (optical and electrodynamic) tomography system for the measurement of tomographic images of solids flow. This research will investigate the distribution of conveying plastic beads in a conveying pipe by placing optical and electrodynamic sensors around the pipe without interrupting the flow inside the pipe.
Real-Time Path Planning Tracing of Deformable Object by Robot
Authors: Sahari Khairul Salleh Mohamed , Seki Hiroaki , Kamiya Yoshitsugu , Hikizu Masatoshi 
Published: November 2017

Abstract
Edge tracing is considered important for deformable object manipulation in order to spread and reveal the original shape of an object before it can be sorted. This paper proposes a unique realtime path-planning tracing method for clothes manipulation by robots. Tracing in this paper context involves tracing the clothes edge, with the robot arm movement based on the calculated path and feedback from sensors. Using tracing method to find a second corner has been proven to be efficient in finding a second corner next to the first corner and not apposite it, resulting in the robot properly spreading the clothes. Adequate force control is also applied to the gripper during tracing so that it doesn't grip the clothes too hard or vice versa which can affect the performance of the robot. Vision sensor is used from time to time to check whether the static gripper has reached the second corner or not. Practical experiments were conducted to evaluate the proposed method. Experimental results have demonstrated the uniqueness and effectiveness of the proposed method.
Design of Vibration-Based Miniature Generator Using Piezoelectric Bender
Authors: Li Wei , Liu Tzong-Shi , Lin Heng-I , Tsai Yi-Jeng 
Published: November 2017

Abstract
For the use of green energy and ubiquitous computing, this study investigates miniature electric generators that are constructed with piezoelectric benders. Electric power is generated by vibratory deformation of piezoelectric benders. Three different designs of piezoelectric generators are created and compared in this study by using mechanics analysis. The result shows that the cantilever design yields more power than symmetric and airfoil designs. Experimental results show that generated voltage rises with not only attached point masses, but also the swing frequency of a swing arm, to which the proposed piezoelectric generator is attached. In addition, At 6.5 Hz swing frequency, the maximum power 0.3μW is generated.
Model identification and Smart structural vibration Control using H
∞ controller
Authors: Sridevi M. , Madhavasarma P. 
Published: November 2017

Abstract
A smart structure plays a vital role in aerospace applications and robotics and other applications. It presents many challenging control problems due to their non-linear dynamic behavior. The Objective of this work is to design a controller that minimizes the structural vibration using H∞ controller. Vibration as a measured parameter has been used to evaluate model of a nonlinear process (piezoelectric actuator and sensor) at different modes .The model was generated using an ARMAX technique. By selecting appropriate weighting functions H
∞
controller were designed based on mixed sensitivity approach using singular loop shaping method. The performance of
H
∞
controller was compared with LQG controller based on vibration reduction. From the results it is observed that the H∞ controller is the best suited for smart structural process.
Application Of Draw Wire Sensor In Position Tracking Of Electro Hydraulic Actuator System
Authors: Rahmat MF , Rozali S Md , Wahab N Abdul , Zulfatman  
Published: November 2017

Abstract
Draw-wire sensor is classified as a contact measurement method. This sensor is ideal for applications with large measuring ranges, small sensor dimensions and when a low cost solution is required. The objective of this research is to explain the application of a draw-wire sensor in position tracking of electro-hydraulic actuator system. The work started with the modeling of the electro hydraulic actuator system. Draw wire sensor is attached to the load of electro hydraulic system to measure its motion when an input signal is injected to the system. The sensor output is the displacement in millimeter and converted to the voltage based on the input signal given. These input and output readings are collected and applied to a system identification procedure in order to obtain the best mathematical model of the system. The modeling process is followed by designed a proportional integral and derivative controller (PID) for the system to assure the output is tracking the input given. The designed controller is applied to the system in both simulation and real time mode. The output performance of the system for these two modes is compared and it can be seen that the simulation and real-time output are almost similar. The overall process of this work shows the important role of draw wire sensor in capturing the output data of the electro hydraulic actuator system precisely either with or without controller. Other displacement transducer might be used in future work of position tracking of electro-hydraulic actuator system.
Cyclic Temporal Network Density and its impact on Information Diffusion for Delay Tolerant Networks
Authors: Yang Lintao , Wang Sai , Jiang Hao 
Published: November 2017

Abstract
We adopt temporal graph model to explore the dynamic temporal properties of three mobility datasets in DTN (Delay Tolerant Network), collected from different sources, including one university campus WLAN and two conferences WLANs. With this model, we observe that the temporal network density of DTN changes with time and approximate varies periodically. Then we study the impact of this phenomenon on information diffusion. Our studies and findings can be used for establishing more realistic mobile model, building intelligent routing algorithm, and design advanced applications for DTNs.
A Low Cost Portable Temperature-Moisture Sensing Unit With Artificial Neural Network Based Signal Conditioning For Smart Irrigation Applications
Authors: Tyagi Aman , Reddy Arrabothu Apoorv , Singh Jasmeet , Chowdhury Shubhajit Roy 
Published: November 2017

Abstract
The recent trends in developing low cost techniques to support cost effective agriculture in developing countries with large population has motivated the development of low cost sensing systems to provide for low cost irrigation facilities and also to provide for conservation of water at the same time. The current paper highlights the development of temperature and soil moisture sensor that can be placed on suitable locations on field for monitoring of temperature and moisture of soil, the two parameters to which the crops are susceptive. The sensing system is based on a feedback control mechanism with a centralized control unit which regulates the flow of water on to the field in the real time based on the instantaneous temperature and moisture values. Depending on the varied requirement of different crops, a lookup table has been prepared and referred to for ascertaining the amount of water needed by that crop. The system based on a microcontroller has been applied on rice and maize fields spanning over area of 1 acres each for 3 weeks and more than 94% of the plants were found to be alive after experimentation. The cost of the system has been estimated to be as low as 120 INR and is therefore easily deployable in developing countries.
A Method For Fine Bonding Wire Detection Using Light Diffraction
Authors: Xiao Yong , Wang Xiaoyan , Zhu Kuanyi , Ge Xiaoyu , Sun Jingna 
Published: November 2017

Abstract
In manufacturing industry, bonding wires are used to interconnect the pads of a semiconductor chip to terminals of a package containing the chip [1]. With increasing demand of fine wires, current detection apparatus encounters some limitations. In this paper, a method to detect breakage of fine bonding wires using diffraction of light is proposed, where a laser head generates the light beam, and a slot introduced in the path of light source generates diffraction pattern. Then, irradiance loss of the corresponding diffraction pattern at the receiver could be observed, due to the presence of a wire. Simulation and experimental results show that the proposed method with a slot design renders satisfactory performance of wire detection.
Topology Optimization Control with Balanced Energy and Load in Underwater Acoustic Sensor Networks
Authors: Fu Wenyan , Li Deshi , chen Jian , Han Yanyan , Nie Jugen 
Published: November 2017

Abstract
In view of unbalanced link bandwidth and node energy consumption in Underwater Acoustic Sensor Networks (UASNs), a distributed topology optimization control algorithm (EL-BatCA) is proposed, which is based on balanced network energy and load. A hierarchical network model is designed based on minimum-hop, by which the nodes are divided into n layers. EL-BatCA is implemented through three stages-topology graph formation in initialization, an innovative transmission power adjustment in topology control, and finally topology optimization through object functions. Simulation results show that EL-BatCA not only balances energy consumption and network load, but also prolongs network lifetime and improves network throughout.
Modeling and Control of Ball and Beam System using Model Based and Non-Model Based Control Approaches
Authors: Keshmiri Mohammad , Jahromi Ali Fellah , Mohebbi Abolfazl , Amoozgar Mohammad Hadi , Xie Wen-Fang 
Published: November 2017

Abstract
The ball and beam system is a laboratory equipment with high nonlinearity in its dynamics. The aims of this research are to model the ball and beam system considering nonlinear factors and coupling effect and to design controllers to control the ball position. The LQR is designed considering two Degrees-of-Freedom and coupling dynamics. The parameters of the LQR are tuned using Genetic Algorithm (GA). Jacobian linearization method is used to linearize the system around operating-point. Due to the noise of the sensor in the experimental setup, a state observer is designed to observe the velocity of the ball. In order to compare the performance of the LQR and study the effect of simplifying assumptions, two control strategies are designed and implemented: Proportional Derivative Integral (PID) as non-model based control strategy, hybrid PID and Linear Quadratic Regulator (LQR) as combination of model based and non-model based control strategies. The experimental results of this research prove the model based control strategies outperforms the non-model based or hybrid controllers in a nonlinear and noisy ball and beam system. In addition, it is shown that the coupling dynamics cannot be eliminated as a simplifying assumption in designing the controller.
Feedforward Control of Temperature-Induced Head Skew for Hard Disk Drives
Authors: Xiao Yong , Zhang Chi , Ge Xiaoyu , Pan Peiqi 
Published: November 2017

Abstract
In hard disk drives (HDDs), head skew error among multiple heads is calibrated during manufacturing process, and will be implemented prior to head switching seeks. In operational environment, additional head skew deviation due to temperature drift may be observed, which could introduce heavy handling burden for feedback controller along with unacceptable noise to HDD customers. Therefore, a thorough analysis of head skew variation against temperature is carried out in this paper. With help of accurate estimation of head skew based on drive temperature, smart feedforward control strategy during drive startup is embedded. Experimental results demonstrating its effectiveness to enhance drive performance are given.
Passive Uhf Rfid Strain Sensor Tag for Detecting Limb Movement
Authors: Merilampi S. , Björninen T. , Sydänheimo L. , Ukkonen L. 
Published: November 2017

Abstract
A strain sensor tag with screen printed antenna for seamless integration with clothing is examined to provide a wireless method for monitoring of human body movements. The strain response of the tag is investigated in air and on human body. While the results indicate strong antenna-body interaction, the strain response of the tag is found to be a monotonic function of the strain.
Optical Probe Current Sensor Module Using the Kerr Effect of Exchange-Coupled Magnetic Film and its Application to Igbt Switching Current Measurements
Authors: Ogawa K. , Suzuki S. , Sonehara M. , Sato T. , Asanuma K. 
Published: November 2017

Abstract
An optical probe current sensor module using the Kerr effect of exchange-coupled magnetic film has been fabricated and applied to switching current measurements for IGBT used for the DC-DC converter and the DC-AC inverter of EV/HEV. Since the sensor module using the Kerr effect of the single domain exchange-coupled magnetic film utilizes magnetization rotation only, Barkhausen noise due to domain wall pinning can be excluded. The current sensor consists of a Laser-diode, a polarizer, a Fe-Si/Mn-Ir exchange-coupled film, a quarter-wavelength plate, PIN Photodiodes and a differential amplifier. The current sensor has a current measurement range of ±60 A and a frequency range of DC 200 kHz. The switching current of IGBT has been measured by it.
A New Kind of Pso: Predator Particle Swarm Optimization
Authors: Neshat Mehdi , Sargolzaei Mehdi , Masoumi Azra , Najaran Adel 
Published: November 2017

Abstract
Today, swarm intelligence is widely used in optimization problems. PSO is one the best swarm intelligence methods. In the method, each particle moves toward the direction in which the best individual and group experience has happened. The most important disadvantage of this method is that it falls in local optima. To fix the problem, a metaheuristic method is proposed in this paper. There has always been a competition between prey and predator in the nature. Little birds often fly in a colony form to run away from birds of prey. Being inspired by the phenomenon, a new particle is added to PSO algorithm known as predator, also a new behavior called “Take flight from predator” is defined.
This particle is responsible for attacking the colony of particles so as to prevent the premature convergence. With the predator attack to the colony, particles run away and again the chance rises for a Global optimum to be gained. The attack just caused particles dispersion and no particle dies. It can be repeated for m times and the optimal point is saved each time. To test the method, 12 benchmark functions were employed and the results were compared to OPSO, VPSO, LPSO, and GPSO methods. Regarding the results, the proposed method had a better performance.