bluuebunny/crossref_metadata_2025_split huggingface dataset:
FPGA Based Vibration Control of a Mass Varying Two-Degree of Freedom System
Authors: Singh Mayand Pratap , Tripathi Prashant Kumar , Gangadharan K.V 
Published: February 2018

Abstract
Controlling of vibration in any system is very challenging problem. In the present work design, fabrication and testing of a variable mass 2-DoF system was presented. The system has been designed to be used as tool to demonstrate the capability of mass variable tuned vibration damper for wide frequency application. All valves and pumps were controlled by a cRIO with onboard FPGA. cRIO with FPGA enable the designer to implement different control algorithms that can be used for real time wide spectrum vibration control. LabVIEW with real time suite was used for algorithm implementation and device control. To avoid sloshing in tanks at different water height a floating roof was used. Its effect on damping was also studied.
CFM: A Fitness-Model-Based Topology Control Algorithm for Wireless Sensor Networks
Authors: Liu Linfeng , Wu Jiagao , Xiao Fu , Wang Ruchuan 
Published: February 2018

Abstract
The main objective of wireless sensor network design is to maximize network lifetime. The network topology, which is the important foundation of upper layer protocols, serves as the supportive groundwork for this goal. We constructed the model of sensor networks, and investigated the property of topology with complex network theory. Three statistical parameters were used to describe the network structure, and then some ideal characteristics were concluded for topology. The characteristics of topology can be achieved by fitness model, so we designed an approximate clustering algorithm based on fitness model, which is distributed. CFM is composed of three phases: links generation phase, heads selection phase and cluster division phase. The performance of CFM algorithm was analyzed through simulation experiments, which indicated a well-constructed topology and effectively prolonged network lifetime.
Secrecy Transfer for Sensor Networks: From Random Graphs to Secure Random Geometric Graphs
Authors: Liu Zhihong , Ma Jianfeng , Zeng Yong 
Published: February 2018

Abstract
Suppose n nodes with n0 acquaintances per node are randomly deployed in a two-dimensional Euclidean space with the geographic restriction that each pair of nodes can exchange information between them directly only if the distance between them is at most r, the acquaintanceship between nodes form a random graph, while the physical communication links constitute a random geometric graph. To get a fully connected and secure graph, we introduce a secrecy transfer algorithm which combines the random graph and the random geometric graph via an introduction process to produce an acquaintanceship graph Gn,n0. We find that the maximum component of graph Gn,n0 transitions rapidly from small components to a giant component when n0 is larger than a threshold, the threshold is derived, and applications for sensor networks are presented.
A Voronoi-Based Depth-Adjustment Scheme for Underwater Wireless Sensor Networks
Authors: Wu Jiagao , Wang Yinan , Liu Linfeng 
Published: February 2018

Abstract
Underwater wireless sensor network (UWSN) is a special kind of wireless sensor network which is composed of a large quantity number of wireless sensor nodes deployed in the water. While there are extensive studies on deploy-issue of terrestrial wireless sensor networks (WSN), UWSN has not been paid enough attention due to the challenges of UWSN, such as low available bandwidth, highly varying multipath, and large propagation delays. In this paper, we propose a depth-adjustment scheme to maximize the coverage in 3D space. After deploying nodes in the water surface, we use Voronoi diagram to compute redundant nodes whose disappearance will not decrease the coverage in 2D space, and then we determine the depth that redundant nodes should be moved towards. After all the redundant nodes have moved to the lower layer, the algorithm continues to schedule redundant nodes of the lower layer until 3D space coverage is fulfilled.
Adaptive Estimation and Pi Learning Springrelaxation Technique for Location Estimation In Wireless Sensor Networks
Authors: Haiyan Li , Yun-an Hu , Min Zhu 
Published: February 2018

Abstract
In order to reduce the location estimation error in Wireless Sensor Network(WSN). A localization algorithm is proposed combining adaptive estimation, PI-learning and spring-relaxation techniques for wireless sensor networks in this paper. Our proposed method takes the advantages of the spring-relaxation technique, thus it inherits its simplicity. The overall accuracy of the location estimations is improved by introducing adaptive estimation and PI-learning. Moreover, it requires only a few beacons with known locations to compute the location estimates of all sensors. Simulation examples demonstrate the overall accuracy of the proposed method.
Traffic Signal Control for Urban Trunk Road Based on Wireless Sensor Network and Intelligent Algorithm
Authors: Xiaohong Peng , Zhi Mo , Riyao Liao 
Published: February 2018

Abstract
Based on the analysis for the present research on controlling urban trunk road, a intelligent control method for urban trunk road based on wireless sensor and fuzzy neural network was proposed. In this method, we took two layers of WSN structure. The first one was data collecting layer, which consisted of traffic information collecting nodes and sink nodes. Data collecting layer was responsible for collecting vehicle information at single crossing, transmitted to the second layer after data fusion. The second one was control layer, composed of traffic light controller nodes in which fuzzy neural controller was nested. Traffic light controller nodes were used to accept the traffic data detected by the first layer, and fuzzy neural controller determined the signal cycle at artery, and on-line adjusted the green ratio at all directions on crossroads to accomplish traffic light control. Simulating results showed that the method is superior to the common fuzzy control, effectively reducing queue length, so as to reach the purpose of decreasing vehicle delay.
Trajectory Adaptive Zpet Controller Without Factorization of Zeros for Non-Minimum Phase System In Application to Real-Time Digital Tracking Control of Electro-Hydraulic Actuator
Authors: Ishak Norlela , Tajjudin Mazidah , Ismail Hashimah , Sam Yahaya Md , Adnan Ramli 
Published: February 2018

Abstract
Electro-hydraulic actuators are very important tools for industrial processes because they provide linear movement, fast response and accurate positioning of heavy load. Recently, with the research and development of mathematics, control theory and basic theory of hydraulic, hydraulic control technology has been developed and has been widely used in many applications such as industrial automation and machining processes. Due to its applications, the highest performance of the electro-hydraulic actuators on position, motion or tracking is needed. Therefore, a suitable controller is required to improve the performance of the electro-hydraulic actuator. Most researchers have used advanced control approach to improve the motion or tracking control. Based on these problems, we had done a real-time digital tracking control studies on electro-hydraulic actuator using trajectory adaptive zero phase error tracking control (ZPETC) without factorization of zero polynomial algorithm. The control strategy uses a recursive least square parameters estimation that was done offline prior the actual control operation by taking advantage of the available known reference input. The experimental results obtained show significant tracking performance.
Research on Visual Navigation and Remote Monitoring Technology of Agricultural Robot
Authors: Wang Yuanjie , Yang Fuzeng , Wang Tao , Liu Qiang , Xu Xiudong 
Published: February 2018

Abstract
To solve the problems of instability of agricultural robot when avoiding obstacles, a kind of navigation method which combined monocular visual navigation technology and remote monitoring technology was proposed: using the centerline method to extract the navigation path to achieve visual navigation; the monitoring center received two-way real-time image signals of the agricultural robot, when the agricultural robot met the obstacle or other situations, the remote monitoring center would start the alarm, then the operators could send control signals through the monitoring software to implement manual intervention. The experiment showed that the system improved the reliability of the navigation.
Labeling of Human Motion Based on CBGA and Probabilistic Model
Authors: Hu Fuyuan , Wong Hau San 
Published: February 2018

Abstract
In this paper, we present a novel method for the labeling of human motion which uses Constraint-Based Genetic Algorithm (CBGA) to optimize the probabilistic model of body features and construct the set of conditional independence relations among the body features by a fitness function. The approach also allows the user to add custom rules to produce valid candidate solutions to achieve more accurate results with constraint-based genetic operators. Specifically, we design the fitness function using a probability model based on the decomposable triangle model(DTM), which is learned through the EM algorithm with the minimum description length (MDL) principle and CBGA algorithm to characterize the stochastic and dynamic relations of articulated human motions. We also extend these results to learning the probabilistic structure of human body to improve the labeling results, the handling of missing body parts, the integration of multi-frame information and the accuracy rates. Finally, we analyze the performance of our proposed approach and show that it outperforms most of the current state of the art methods on a set of motion captured walking, running and dancing sequences in terms of quality and robustness.
Metecloud: A Private Cloud Platform For Meteorological Data Storage Using Hadoop
Authors: Shengjun Xue , Xiaolong Xu , Delong Wang , Jie Zhang , Feng Ji 
Published: February 2018

Abstract
With the increasing popularity of open-source platform Hadoop, the meteorological industry is available to create a Meteorological Cloud (MeteCloud) platform to store and deploy applications. In this paper, we propose an idea to build the MeteCloud platform for meteorological departments using Hadoop. We also present a backup policy for meteorological data. In addition, one kind of storage process of the meteorological A-format file is presented. Furthermore, we experiment with one-year historical data on the platform by varying many related parameters such as the number of nodes, meteorological records and fields. Finally, the proposed MeteCloud platform proves to be efficient and suitable for the storage of meteorological data.
Application of Multi-Frequency Electromagnetic Profiling in Studying the Distribution of Bronze in Jinsha Ruin Worship
Authors: Zheng Wenfeng , Li Xiaolu , Lam Nina , Wang Xuben , Sun Zhangli , Liu Shan , Yao Jinmei 
Published: February 2018

Abstract
Like the Sanxingdui ruins, the Jinsha ruins are an important archaeological site in the Chengdu Plain. Excavation of these ruins may offer important evidence for the origins and evolution of the ancient Shu civilization. In order to protect historical relics during excavation, it is necessary to use a nondestructive approach when determining the distribution of those relics. Multi-frequency electromagnetic profiling is one nondestructive geophysical exploration technique. With this method, the metal bodies underground can be detected based on the different conductivities of rocks and minerals in the crust. In the present paper, multi-frequency electromagnetic profiling was used to study the distribution of bronze in the sacrifice area of the Jinsha ruins, and the data were processed with multi electromagnetic dipole forward modeling. The distribution of bronze derived from multifrequency electromagnetic profiling was in accordance with the results of site excavation, proving that multi-frequency electromagnetic profiling method is an effective and nondestructive means of assessing the distribution of bronze ware in archaeological ruins.
Triboacoustic Localization System For Mobile Device - Environmental Effects To Accuracy
Authors: Leong Yeng Weng , Seki Hiroaki , Kamiya Yoshitsugu , Hikizu Masatoshi 
Published: February 2018

abstract
This paper simulates and discusses about the probable causes of error which might occur due to the environmental settings of the triboacoustic localization prototype previously developed. Erroneous conditions studied are sensor offsets and temperature mismatches while existing errors due to equation deficiencies are taken into considerations. Descriptions of the prototype’s hardware and combinational system functionality which is to be simulated is described prior to the simulation and experimental step. It was found through simulations and verified via experiments that some environmental settings do have a large impact upon final outcome ( x,y offset and z offset) while some have negligible effects to the final outcome( temperature).
Condition Based Preventive Maintenance Control Strategy Design
Authors: Su H. S. , Kang Y. Q. 
Published: February 2018

abstract
Compared with time based maintenance (TBM), Condition based maintenance (CBM) can improved the availability of the devices and reduced the examining maintenance cost. However, CBM possibly arouse an unexpected interference on production process due to an unplanned maintenance activity in advance so that the stable-state operation of the system was influenced. As the system scale was larger, this accidental disturbance should not be ignored. Based on the viewpoint, we first constructed a full-life cycle four-state model of the device, and then simplified it as three-state model based on some practical considerations in this paper. On the basis of it, the paper analyzed its reliability operation characteristics as the checking items being constants, and then proposed a dynamic real-time iterative control strategy on the checking items according to the practical state of the devices under CBM, and investigated its availability and adaptability. Moreover, the paper still performed devices state evaluation, and analyzed the control error and the selection of control timing, and etc, which further expounded the availability of control strategy. In the end, the paper still conducted probability simulation on it, and some simulation experiments had been done. The related investigated results and the simulation results show that the proposed method in the paper is effective and available, and can ensure the system normal working not to be influenced by maintenance activities.
A Multi-Scheme Adaptive Routing Algorthm Based On Spray And Wait For Dalay Tolerant Networks
Authors: Li Jianbo , Jiang Shan , Song Youmei , Xu Jixing , Wang Yan 
Published: February 2018

Abstract
Delay tolerant networks (DTNs) are a type of emerging mobile wireless network that experience long delays, intermittent disruption, buffer space and energy limitations, node irregularities and frequent mobility. To this end, many protocols take advantage of the flooding mechanism to increase the probability of successful message transmission. However, sending too many copies of each message may result in large network overhead and communication cost. Based on the Spray and Wait (S&W) algorithm, we propose an improved Adaptive Spray and Wait scheme, named ASW, for different delay tolerant network scenes. In this paper, we define a hybrid utility metric combined with multiple variables, delivery probability and similarity. Then, we distribute message copies in accordance with the proportion of the utility value to optimize the delivery ratio. Extensive simulations have been conducted to verify the efficiency of our proposed algorithm. In addition to the comparison, the results also show that our proposed algorithm achieves a better performance in terms of the delivery ratio and average latency than the other three protocols
Electrodermal Activity-Based Feasibility Study On The Relationship Between Attention And Blinking
Authors: Yoshida Ryuichi , Sakai Tsugunosuke , Ishi Yuki , Nakayama Tomohiro , Ogitsu Takeki , Takemura Hiroshi , Yamaguchi Etsuji , Inagaki Shigenori , Takeda Yoshiaki , Namatame Miki , Sugimoto Masanori , Kusunoki Fusako , Mizoguchi Hiroshi 
Published: February 2018

Abstract
Various factors are believed to cause blinking. One of these factors is attention. However, the relationship between blinking and attention has not yet been elucidated. In this study, we focus on electrodermal activity (EDA) to demonstrate this relationship. EDA is an electrical phenomenon involving the glandular releasing of sweat that is caused by mental excitement or strain. We employ EDA to quantify attention as a means to elucidate the blinking–attention relationship. We conduct an experiment based on EDA and present the results to verify this relationship
Identification Of Electro-Hydraulic Actuator Using Fractional Model
Authors: Yusof Nuzaihan Mhd , Ishak Norlela , Adnan Ramli , Sam Yahaya Md. , Tajjudin Mazidah , Rahiman Mohd Hezri Fazalul 
Published: February 2018

Abstract
Electro-hydraulic actuator (EHA system) identification is to describe the characteristic of the system that useful for prediction or control system design. There are numerous methods of EHA modeling but there has not been much model using fractional-order (FO) model. In this work, integer-order (IO) model and FO model are developed to model EHA system. Output-error method is used as the estimator for both model. The coefficient of IO model was first estimated and using the estimated coefficient, the derivative order of FO model is estimated. These models has been validated by comparison of error, coefficient of determination (R2), mean square error (MSE) and correlation function. The results for the proposed model show improvement compared to the IO model.
Automatic Measurement Of Shape Parameters For Hydraulic Torque Converter
Authors: Zhang Haining , Bai Fu 
Published: February 2018

Abstract
In this paper, the automatic measurement method of the Hydraulic Torque Converter shape parameters is studied. Aiming at the defects of the traditional manual measurement method, the solution for measuring the shape parameters of Hydraulic Torque Converter with the automatic measurement system is proposed on the basis of in-depth analysis for the Hydraulic Torque Converter shape parameters’ characteristics. Automatic measurement system mainly contains two parts, the Hardware Measurement System and the Software Measurement System. The working principle of the automatic measurement system are as follows: firstly, as system starting, the arm upper Measuring Fixture put the Hydraulic Torque Converter work piece into the Measuring Fixture, and then the Measuring Fixture make the Pump Hub Axle and Cover Hub Axle of the measured work piece fixed; secondly, the measured work piece start to rotate, at the same times, s the work piece is measured by MARPOSS displacement sensor. The measuring stop as soon as the measured work piece completes rotating 360 degrees. Lastly, measurement data is collects by the Software Measurement System based on LabVIEW development platform using NI acquisition card. The Moving Average Filter and Butterworth approximation method is mainly used during processing the measurement data. The tolerance measuring value of each shape parameter can be obtained, after the measurement data processed. The external dimensions of the measured work piece have been qualified by the data obtained. Under practical test, this method fit the industrial production demand very well; it can help to improve the production efficiency greatly used in the industrial production
Analysis Of The Multi-Channel Three Dimensional Probability Csma Protocol With Monitoring Function For Wsn
Authors: Zhao Yifan , Zhou Shengjie , Ding Hongwei , Yang Zhijun , Liu Qianlin 
Published: February 2018

Abstract
For the wireless sensor networks (WSNs), MAC layer protocol, relating to system throughput, involving functions of system, concerning the consumption of system energy efficiency, etc. other system indicators, is very important. With the development of WSN, involving vary businesses, the amount and style of data which the sensor nodes detecting is large and divertive. Based on threedimensional probability CSMA protocol, the proposed protocol, multi-channel three-dimensional probability CSMA protocol with monitoring function (MATP-CSMA), is providing the sensor nodes owning different task with diversified throughput, meeting the quality of services (QoS) of diversiform business. The paper analyses the protocol from three aspects: the system throughput, system delay and energy efficiency. Through rigorous mathematical derivation, get the exact expression of relevant indicators; with the use of simulation tools, verify the accuracy of the model and expressions
Datasocket Technology And Its Application In Equipment Remote Condition Monitoring And Fault Diagnosis
Authors: Tao Wu , Zhihua Liu , Miaoyuan Liang 
Published: February 2018

Abstract
Virtual Instrument technology, based on DataSocket, is the product combined with computer technology, network communication technology and instrumentation technology. The paper has described some concepts about virtual instrument and LabVIEW. Now concerning the characteristic of equipment in grassroots units that equipment have diverse models and could be widespread distributed, and it could cause increasing difficulty of repair and maintenance about equipment. Thus, the paper proposed Virtual Instrument technology based on DataSocket and its application in equipment remote condition monitoring and fault diagnosis. DataSocket’s properties, structure and working principle were analyzed at the same time. By developing a set of equipment remote status monitoring and fault diagnosis system, the paper has tried to verify that the use of this technology can monitor real-time data and fault diagnosis
A Cost-Effective And Accurate Electrical Impedance Measurement Circuit Design For Sensors
Authors: Doyle Ciaran , Riordan Daniel , Walsh Joseph 
Published: February 2018

Abstract
A circuit design with bespoke control software is described which has delivered precision in electrical impedance measurements of ~ 10ppm, after calibration. It is low-cost and applicable to jobs such as direct measurement using a sensor whose resistance changes with some physical quantity of interest; calibration at end of line in the production of such sensors; or calibration of equipment which may be out of warranty. It was developed using resistance temperature detectors (RTDs)
Detecting Sybil Attacks In Wireless Sensor Networks Using Sequential Analysis
Authors: Vamsi P. Raghu , Kant Krishna 
Published: February 2018

Abstract
Wireless Sensor Networks (WSNs) suffer from many security attacks when deployed either in remote or hostile environments. Among possible attacks, the Sybil attack is one of the severe attacks in which malicious nodes report false identities and location information such that the remaining nodes believe that many nodes exist in their vicinity. The current study proposes a method for detecting Sybil attack using sequential analysis. This method works in two stages. First, it collects the evidences by observing neighboring node activities. Further, the collected evidences are consolidated to provide input to the second stage. In the second stage, collected evidences are validated using the sequential probability ratio test to decide whether the neighbor node is Sybil or benign. The proposed method has been evaluated using the network simulator ns-2. Simulation results show that the proposed method is robust in detecting Sybil attacks with very low false positive and false negative rates