bluuebunny/crossref_metadata_2025_split huggingface dataset:
An Adaptive Traffic Light Control Scheme and its Implementationin WSN-Based ITS
Authors: Zhou Binbin , Cao Jiannong , Li Jingjing 
Published: November 2017

Abstract
We investigate the problem of adaptive control of traffic lights using real-time traffic information collected by a wireless sensor network (WSN). Previous studies mainly focused on optimizing the intervals of green lights in a fixed sequence of traffic lights, and ignored some traffic flow’s characteristics and special traffic circumstances. In this paper, an adaptive traffic light control scheme has been proposed, in which the sequence of traffic lights can be adjusted dynamically in accordance with the real time traffic detected, including traffic volume, waiting time and vehicle density. Subsequently, the optimal traffic light length can be determined according to the local traffic and predicted traffic data. Simulation results demonstrate that the proposed scheme can achieve much higher performance, in terms of throughput and average waiting time. We also implement proposed scheme into our WSN-based ITS project, iSensNet, and the result shows that our scheme is effective and practical.
The Vibration and Measurement of Driving Mode of the Two-Stage Decoupled Micro-Machined Gyroscope
Authors: Fenglin Yao , Shiqiao Gao , Jie Zhao , Haipeng Liu , Shaohua Niu , Lei Jin 
Published: November 2017

Abstract
This paper introduces the working principle of the two-stage decoupled micro-machined gyroscope, and establishes the vibration equation of the driving mode. By solving the differential equation, the analytical solution and the amplitude-frequency characteristics of the driving mode are obtained. By the visual measurement based on high-speed photography and the post image processing, it measures the natural frequency of the driving mode of the micro-machined gyroscope. And it measures the damping coefficient in time domain and frequency domain respectively using this method. The comparison to the theoretical solution proves that the method is effective and accurate; it will help the study for the micro-machined gyroscope vibration and provides a new way to measure MEMS.
An Adaptive Channel Hopping Algorithm for Wireless Sensor Network with Mesh Structure
Authors: Jindong Zhao , Baode Fan , Yunhong Lu , Chunxiao Mu 
Published: November 2017

Abstract
According to EGTS proposal, an adaptive channel hopping algorithm that can be used in wireless mesh sensor networks was is designed in this paper. The nodes select proper channels independently and use them to communicate with their neighbors. Once a pair of nodes find their current channel has been deteriorated, they abandoned the current channel and enable the reserved channel, so that the reliability of the network is improved. The algorithm is compatible with the primitives and the frame structure of EGTS and makes use of multi-channels efficiently. The data structure and the procedure of the mechanism were described in detail and the feasibility and the efficiency was given by analysis and experiment. Finally, it is concluded that the algorithm is practicable when the density of network is less than 8 and the topology is relatively static.
A Novel Key Chain-Based En-route Filtering Protocol For Wireless Sensor Networks
Authors: Zhang Zhiming , Xiong Xiaoyong , Deng Jiangang 
Published: November 2017

Abstract
Sensor nodes may be deployed in hostile environments. An adversary may compromise the sensor nodes and inject false data into the network, which wastes scarce energy resources of the forwarding nodes. Existing schemes can effectively resist false data injection, but most of them do not consider the identifiers (IDs) attack, the en-route nodes check only the Message Authentication Codes (MACs) and do not verify the nodes identifiers (IDs) of the endorsing reports. In this paper, we propose a novel security routing protocol (KCEFP) based on one-way key chain. The proposed protocol can resist false data injection, replay and IDs attacks, and if the endorsement report is modified, the forwarding nodes can verify the endorsement report by the key chain, and filters out the fabricated packet right now. The security and performance analysis shows that our scheme provides a high security level and the energy savings significantly increasing with the number of fabricated report packet increasing.
ESKA: A Highly Reliable Authentication Protocol Based-on One-way Key Chain for WSN Broadcast
Authors: Wang Qianping , Li Ruoyu , Lai Liangli , Kong Lei 
Published: November 2017

Abstract
The authentication of broadcast sources is one of the most important research issues in the area of network security. To confirm that the control information received is from the genuine management nodes, the message broadcasted from management nodes must be verifiable for the working nodes. In this paper, a highly reliable WSN broadcast authentication protocol based-on one-way key chain, namely, the ESKA, is presented. For the purpose of comparison, a group of simulations are conducted. The results have demonstrated that compared with μTESLA, the presented method is of lower authentication delay and higher authentication rate in large broadcast data traffic transmission, meanwhile reducing considerable communication overheads in those applications.
Autonomous Multi-Target Interception in Dynamic Settings – On-Line Pursuer Task Allocation
Authors: Sheridan Patricia Kristine , Kosicki Pawel , Nejat Goldie , Benhabib Beno 
Published: November 2017

Abstract
In this paper, we present a generic task-allocation methodology for time-optimal, autonomous on-line interception of multiple dynamic targets by a team of robotic pursuers. The proposed novel methodology is applicable to problems consisting of numerous variations of multiple pursuers and targets. The targets are assumed to be highly maneuverable with a priori unknown, though real-time trackable, motion trajectories. Guidance theory is employed to allow each of the pursuers to navigate autonomously towards its allocated target. Numerous simulations and experiments have verified that the proposed methodology is tangibly efficient in dynamic (one-to-one) re-pairing of pursuers to targets for minimum total overall interception time.
A New Unequal Clustering Algorithm using Energy-Balanced Area Partitioning for Wireless Sensor Networks
Authors: Suharjono Amin , Wirawan  , Hendrantoro Gamantyo 
Published: November 2017

Abstract
Multi-hop Clustering is more preferred than the single-hop one because the transmission range of the Wireless Sensor Networks (WSN) nodes is not determined by the size of the network area. However, the multi-hop method brings a new problem related to the workload imbalance between the cluster-heads (CHs). Unequal Clustering becomes the most proposed solution of the unbalance load, but the calculation of the radius clusters still become a big challenge to achieve a maximum balancing degree. In this paper, we propose a new unequal clustering algorithm based on the partitioned circles network model, having better accuracy in the energy consumption analysis than the rectangular one. The superiority of the algorithm we propose is cluster parameters, by which the region width and cluster-head probability, are obtained with a complete energy consumption analysis. Through the simulation evaluation, the algorithm brings the better performance than the equal clustering.
Virtual Detection Zone in smart phone, with CCTV, and Twitter as part of an Integrated ITS
Authors: Hardjono B. , Wibisono A. , Nurhadiyatna A. , Sina I. , Jatmiko W. 
Published: November 2017

AbstractIn this proposed integrated Intelligent Transport System, GPS enabled smart phones, and video cameras are used as traffic sensors, while Twitter is used as verifier. They are attractive because they are non intrusive, and consequently more practical and cheaper to implement. Our novel Virtual Detection Zone (VDZ) method has been able to map match by using pre-determined check points. VDZ speed accuracy ranges from 93.4 to 99.9% in higher speeds and it only needs one longitude and latitude coordinate, to form a detection aware zone. Also by using ANFIS we show that a more accurate traffic condition can be obtained using our three sources of data.
State of the Art on Secure and Low Cost RFID Authentication Protocols for RFID Based Vehicle License Plate
Authors: Syamsuddin Irfan 
Published: November 2017

Abstract
RFID technology has many potential applications that would ease object identification seamlessly. One of its potential benefits to government is the adoption of RFID tag as embedded smart material within vehicle license plate. However, adoption of RFID in vehicle license plate is fragile from various RFID attacks while efforts to improve its security will lead to additional cost. Enhancing RFID security without extra cost poses new challenges to researchers in the area. This study aims to provide a state of the art on RFID authentication protocols under low cost restriction as a foundation for decision maker for further development stage of RFID based vehicle license plate. In depth analysis is performed by assessing the protocols according to three features namely data protection, tracking prevention, and forward security. Finally, it is concluded that the protocols are vary in satisfying three aspects of security features.
Performance Analysis of ECG Signal Compression using SPIHT
Authors: Isa Sani Muhamad , Suryana M. Eka , Akbar M. Ali , Noviyanto Ary , Jatmiko Wisnu , Arymurthy Aniati Murni 
Published: November 2017

Abstract
In this paper, we analyze the performance of electrocardiogram (ECG) signal compression by comparing original and reconstructed signal on two problems. First, automatic sleep stage classification based on ECG signal; second, arrhythmia classification. An effective ECG signal compression method based on two-dimensional wavelet transform which employs set partitioning in hierarchical trees (SPIHT) and beat reordering technique used to compress the ECG signal. This method utilizes the redundancy between adjacent samples and adjacent beats. Beat reordering rearranges beat order in 2D (2 dimension) ECG array based on the similarity between adjacent beats. The experimental results show that the proposed method yields relatively low distortion at high compression rate. The experimental results also show that the accuracy of sleep stage classification and arrhythmia classification using reconstructed ECG signal from proposed method is comparable to the original signal. The proposed method preserved signal characteristics for the automatic sleep stage and arrhythmia classification problems.
Human Identification Based on Walking Detection with Acceleration Sensor and Networked Laser Range Sensors in Intelligent Space
Authors: Morioka Kazuyuki , Hashikawa Fumitaka , Takigawa Tomoyasu 
Published: November 2017

Abstract
This study aimed to identify a specific human with the accurate position measurements by integrating the networked laser range finders in the intelligent space and an wearable acceleration sensor with the human. A human identification method based on associating detections of walking behaviors from both sensors is proposed. Parameter optimization was also performed for improvement of identification. System configurations and implementations using RT component are also described. Some experimental results showed a feasibility of the proposed method. In the proposed system, only walking detection results are communicated among sensors. The proposed system with small data communication is effective for networked sensor systems like intelligent spaces.
Parameters Optimization of Passive Vehicle Suspension based on Invariant Points Theory
Authors: Liu Jin , Shen Yongjun , Yang Shaopu 
Published: November 2017

Abstract
Two methods for parameters optimization of traditional passive suspension based on the invariant point theory are presented in this paper. Firstly, the two degree-of-freedom dynamical model for a quarter vehicle suspension is established. Then all the invariant points for the acceleration of vehicle body, suspension deformation, and tire displacement are obtained through the invariant equation associated with Laplace transform. Secondly, two optimization methods for the system parameters of passive suspension are presented, and the design objectives are to designate the invariant points as the local maximum points of the amplitude-frequency curves so as to improve the control performance of vibration isolation. At last, the control performances of the two improved passive suspension systems are compared with those of the original passive suspension, the active suspension, and the semi-active suspension by some performance indexes. The results show that the two optimization methods could greatly improve the control performance of passive suspension systems.
Automatic Control Process of Solenoid Valve Production line based on PLC and Touch Screen
Authors: Chu Jian , Feng Yan 
Published: November 2017

Abstract
This article introduces the automatic control process of solenoid valve production line with PLC control and touch screen user interface. The production line can produce four types of solenoid valves. There are numerous steps in the production process to ensure the quality of the products, e.g. image error detection and Helium leak detection. The control process uses the Siemens S7-300 as the control core, in conjunction with the Siemens touch screen TP 177B as the human machine interface to achieve the real-time control for the production line. The system control structure, hardware components, software design, as well as the process of automatic control are articulated in this article. The production line runs with consistent stability, the man-machine interface is user friendly, and all the processes have a high level of automation.
A Rotating Cantilever Beam for Dynamic Strain Measurement and Vibration Analysis Based on Fbg Sensor
Authors: Jiang Xixin , Zhou Zude , Bian Guangrong 
Published: November 2017

Abstract
Strain measurement and vibration analysis of a rotating blade are critical for the progress in improvements of the performance of machines. Since traditional sensors and measurement methods have difficulty measuring the rotor blade’s dynamic strain and vibration, the search for new measurement methods has become an urgent task in rotor machine monitoring and diagnosis. This paper presents a new method based on Fiber Briggs Gratings (FBG) for the measurement of strain and estimation of vibrations in a rotating cantilever. The method is based on the fact that the vibration displacement can be expressed in terms of an infinite number of vibration modes and be related to the dynamic strains through strain-displacement relationship. By placing multiple sets of FBG and utilizing an optic coupler, the rotating cantilever beam’s dynamic strain can be measured and vibration can be estimated at the same time. From the results, it can be concluded that this new monitoring method is applicable to the rotating blade.
Evaluation of Finger Direction Recognition Method for Behavior Control of Robot
Authors: Ikai T. , Ohka M. , Kamiya S. , Yussof H. , Abdullah S. C. 
Published: November 2017

Abstract
When a human gives an order to a robot, the robot must often use its vision to ascertain the human’s indication. In our previous paper, to develop a system where robots precisely receive and obey human orders in daily work spaces, we proposed an experimental system for finger direction recognition (FDR) in 3D space using stereo matching by mounting two cameras on the robot. In this paper, we evaluate this system for FDR in 3D space by performing a series of evaluation experiments using a turntable capable of fixing a hand in a specific finger direction. We estimated various finger directions and distances for two major pointing hand forms (Forms 1 and 2) and evaluated the precision of θ and Φ. We conclude that the θ and Φ estimations are valid because the estimation error is almost within 10 ° when the distance between the camera and object is less than 110 and 80 cm for θ and Φ for Forms 1 and 2, respectively. Finally, we applied our FDR system to the communication between a robot and a person by visual and tactile sensations. In the application test, the robot recognized the object at which the person pointed and put it in the person’s palm.
Investigation of Human Tactile Stochastic Resonance Depending on Frequency Effect
Authors: Beceren Kadir , Ohka Masahiro , Miyaoka Tetsu , Yussof Hanafiah , Makhtar Ahmad Khushairy , Basir Siti Nora 
Published: November 2017

Abstract
Stochastic Resonance (SR) is a significant concern for design of robotic tactile sensors because of its considerable enhancement of sensitivity of human tactile sensation. In the last few decades, researchers have found that noise previously considered detrimental in fact provides the benefit of SR phenomena. However, there are no experimental results for dependence on vibrotactile frequency, which issued as basic data for robotic tactile sensors. In this paper, we investigated the influence of the SR phenomena on human tactile sensation in the context of frequency-dependence of absolute thresholds (AT). We developed a system composed of an experimental apparatus and a computer program based on psychophysics in order to measure the AT of human vibrotactile sensation. We performed three series of psychophysical experiments using normal vibration, 8-mm-sized stimulus point and the continuous sinusoidal signals of 32, 50 and 75 Hz to obtain the AT variation in frequency. The results show that since normal ATs decrease with appropriate noise, SR is observed in normal stimuli tests in the frequency range from 32 to 70 Hz. Since the inclination of the curve of AT in a double logarithmic graph is around -1 in both with-noise and without-noise conditions, SR is caused by the FA-I mechanoreceptive unit in the range of frequency.
An Assistance System For Building Intelligent Spaces Based On Mapsharing Among A Mobile Robot And Distributed Sensors
Authors: Hashikawa Fumitaka , Morioka Kazuyuki 
Published: November 2017

Abstract
An intelligent space is a space constructed with many networked sensors. Humans and robots in the space are extracted and tracked cooperatively by the networked sensors. The intelligent space can achieve position-based supports to humans and robots according to integration of networked sensors. Generally, the networked sensors are distributed and fixed on the structures in the space such as walls, ceilings and etc. In order to track moving objects such as humans and robots in the intelligent space, all networked sensors have to obtain objects positions in the unified world coordinate. In that case, positions and orientations of the networked sensors must be also known in the unified world coordinate system. However, it is time-consuming to measure positions of many sensors in the world coordinate accurately and manually. This study aims to develop a system for supporting estimation of positions and orientations of the networked sensors in the intelligent space.
In this paper, a configuration of the proposed system is introduced. The proposed system consists of map building systems of the mobile robot and the distributed sensors. A global map from the robot and local maps from the distributed sensors are compared. Then, the local maps of the distributed sensors are associated with the global map and the positions of the distributed sensors are estimated in the global map. For improvement of map matching, angle differences between maps are evaluated. Some experimental results in an actual environment show that the proposed system achieve sensor position estimation easily.
Low-Power Wireless Liquid Monitoring System using Ultrasonic Sensors
Authors: Viswanath Samarth , Belcastro Marco , Barton John , O’Flynn Brendan , Holmes Nicholas , Dixon Paul 
Published: November 2017

Abstract
Monitoring Systems are necessary to understand the changes that take place in environments. Remote monitoring and data collection systems are useful and effective tools to collect information from bulk storage tanks and to monitor the same. The measurement of liquid inside the tank is most important and such systems are useful in industries which are categorized as safety critical systems. This paper presents the architecture and initial testing results of a low power wireless system for tank level monitoring using ultrasonic sensors.
L-Shaped Cantilever Parallel - Plate MEMS Accelerometer Design Parameters using A Gravitational Search Algorithm
Authors: Oukil Souad , Boudjemai Abdelmadjid , Boughanmi Nabil 
Published: November 2017

Abstract
Due to their small size, low weight, low cost and low energy consumption, MEMS (Micro Electro-Mechanical Systems) accelerometers have achieved great commercial success in recent decades. The objective of this paper is to find the optimum design for a typical MEMS accelerometer, which satisfies a set of given constraints. Due to the complex nature of the problem, a gravitational search algorithm (GSA) is developed for optimization. The GSA attempts to optimize the inter-plate gap while satisfying all other engineering goals. The model was constructed in Msc Patran and Nastran software were calculated and model’s response was found. In this paper the optimal design from the theoretically derived gravitational search algorithm is compared to finite element model in order to ascertain its accuracy and verify the results.
A Novel Approach of Combining Steganography Algorithms
Authors: Jaheel Hamdan Lateef , Beiji Zou 
Published: November 2017

Abstract
Steganography is the act of hiding a message inside another message in such a way that the hidden message can only be detected by its intended recipient. In this paper, we combined two steganography algorithms namely JSteg and OutGuess algorithms, in order to exploit the beneficial characteristics and features of both algorithms to enhance the protection level for secret images. In our proposed approach, the secret message (image) is first concealed inside another image using JSteg algorithm and the resultant stego-image is further hidden inside a final image using OutGuess 0.1 algorithm. In this combine approach, the tricky nature of hiding an already hidden message is using two different algorithms increases the level of difficulty for a third party to suspect the existence of a secret image in the first place or even successful decode the it. Besides that, the priority given to the choice of a good image size and type in this approach further disguises the secret image and increases the chances that the image could go unnoticed. Results after calculating the capacity and PSNR for images proved that our approach is a good and acceptable steganography system. The model presented here is based on JPEG images.
Sparse Representation Theory and its Application for Face Recognition
Authors: Wang Yongjiao , Wang Chuan , Liang Lei 
Published: November 2017

Abstract
Face recognition aims at endowing computers with the ability to identify different human beings according to their face images. However, recognition rate will decrease sharply when it refers to the non-ideal imaging environments or the incorporation of users, such as illumination, pose, expression variations and so on. Besides, it will be also influence the recognition results when the database is too large or small. Sparse representation based classification for face images has been one of efficient approaches for face recognition in recent years. Discrimination performance by using the sparse representation can also be applied to the face recognition, and any test sample can be expressed as a linear span of the all training samples. Experimental results show that face recognition method based on sparse representation is comparable to others.