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November 30,2016
Volume 9,Issue 22
Pages -
Subject Area:Autocontrol Technology,Image Processing,Database,Computer Network,Computer Software,Computer Applications,Computer Image Processing

Title: Design of a reference radiosonde for high altitude sounding

Authors: ZHOU Yue1, LIU Qingquan1 , YANG Jie2, DAI Wei2, YU Yin1
PP: 2376-2387
Abstract: In order to provide comparison and calibration for the daily use of radiosonde meteorological observation, a reference radiosonde system based on a high-precision thermometer and an ARM processor is proposed. The system includes an airborne subsystem and a ground-based subsystem. The airborne subsystem includes an array-based sounding temperature sensor. A variety of meteorological sensors, such as dew point hygrometer and pressure sensor can be integrated. A computational fluid dynamic (CFD) method is utilized to simulate the array-based temperature sensor. Simulation results suggest that the new design helps to reduce the solar radiation error resulted from heat contamination. A low-air-pressure experiment platform is constructed to simulate high altitude environment. Experimental results indicate that this array-based sensor is able to reduce the error resulted from the heat contamination considerably, which agrees with the simulation results. The sensor also features relatively small radiation error, compared to traditional bead thermistor sounding temperature sensors. The reference radiosonde system, compared with the traditional radiosonde, features high precision of temperature observation, low noise and high extensibility.
Keywords: other subjects of electrics, communication and autocontrol technology; reference radiosonde; sounding temperature sensor; solar radiation; computational fluid dynamics; sensor array

Title: Design and implementation of lane positioning system based on RFID and OBD

Authors: HUI Fei, WU Xiaojie, MA Xupan
PP: 2371-2375
Abstract: According to the application requirements of lane-level positioning for intelligent transportation, an active location system that can distinguish the lane is implemented by combining the technology of radio frequency identification (RFID) with the on-board diagnostic (OBD). The location of the vehicle and lane information are calculated by RFID beacons and used to establish a global road coordinates. The vertical’s reliable angle and instantaneous speed are obtained in real time with the help of OBD, and the accurate vehicle movement information is obtained by using the velocity vector, then the location is matched and showed on map. Experiment results show that the method can position the lane which the car is running on, resulting in higher accuracy and better practicability than the traditional single positioning methods.
Keywords: other subjects of electrics, communication and autocontrol technology; radio frequency identification; lane-level positioning; on-board diagnostic; intelligent transportation; inertial navigation system

Title: Target tracking algorithm base on improved mean shift

Authors: TIAN Qi, ZHENG Lin, ZHOU Lin, ZHANG Yunchuan
PP: 2363-2370
Abstract: In this paper, we present a new mean shift embedded particle filter for visual tracking. First, the pixel based mean shift is employed to optimize each particle independently and locally. Then the particle based mean shift is employed to optimize all the particles dependently. This algorithm is used to track objects in the cluttered environment. The experiments show that the method performs robust in complex situation.
Keywords: other subjects of electrics, communication and autocontrol technology; tracking; mean shift algorithm; particle filter

Title: Consensus of uncertain dynamic network system with multi-interconnections

Authors: AO Dun, ZHANG Bojia
PP: 2353-2362
Abstract: According to the linear dynamic network system with uncertain parameters, we use the stability theory of partial variables, and the linear transformation matrix to convert the consensus problem to the partial stability problem. By using Lyapunov method and the projection theorem, we give the consistency criterion in the linear matrix inequality (LMI) form, and the static output feedback controller parameters are obtained by using the criterion. Furthermore, we deal with the system that the node is a nonlinear system with Lure type. Meanwhile, the system with interconnection uncertainty and controller parameter uncertainty is taken into account. Based on the circle criterion, frequency domain criterion is obtained, then we use Kalman-Yakubovich-Popov (KYP) lemma and Schur lemma to get the time domain criterion in the LMI form and the method of the static output feedback controller is proposed. Finally, numerical examples are presented to illustrate the efficiency and applicability of the proposed methods.
Keywords: autocontrol technology; consensus; multi-interconnections; robustness; Lure nonlinear system; static output feedback

Title: Design and simulation of circular phased array with dual-band monopole antenna based on orbital angular momentum

Authors: LI Baolu, LI Li, LAN Ji
PP: 2348-2352
Abstract: A dual-band circular phased array antenna which can generate orbital angular momentum (OAM) electromagnetic wave is presented. The antenna can cover frequency bands of 2.40−2.48 GHz and 5.15−5.83 GHz which work in the wireless local area network (WLAN). The dual-band monopoles which are the elements of the circular phased array are fed by the same amplitude signal but with an incremental phase shift and different modes of OAM are generated by changing the phase. The simulated results show that the array antenna can radiate orbital angular momentum in different frequency bands, which is of great significance in the field of wireless communication and electromagnetism.
Keywords: radio wave propagation; orbital angular momentum; dual-band monopole; circular phased array; wireless local area network

Title: Mammography hashing retrieve based on multi-feature fusion

Authors: LÜ Xin, WANG Ying, LIU Lu
PP: 2337-2347
Abstract: To improve the performance of computer aided detection (CAD) systems and assist doctors to make more accurate diagnosis, in this paper, we proposed a multi-feature fusion retrieval algorithm based on hashing. To fully describe breast image, different specific features of every suspicious region are extracted, such as pairwise bag of words (PBoW) and hierarchy-weigh Gist and histogram of oriented gradient (HOG) features. We integrate multi-feature fusion and hash algorithms to predict the probability of suspicious regions by the graph model. The experimental results show that the method proposed in this paper can accurately predict probability of suspicious regions, and improve performance of the detection system while maintaining a low false positive rate at the same time.
Keywords: image processing; image retrieval; multi-feature fusion; graph model; probability forecast

Title: A hyper-chaotic image encryption via bit global scrambling

Authors: ZHAN Kun, WEI Dong
PP: 2327-2336
Abstract: In this paper, as the current popular chaos-based image encryption algorithms have security flaw of no immunity to attack, a better robust image encryption algorithm based on hyper-chaos is proposed. Firstly, the algorithm uses hyper-chaotic map to generate key streams. Secondly, it uses hyper-chaotic key streams to achieve bit globally scrambling and pixel replacement. Lastly, it takes two rounds of diffusion cryptographic operations. The relationships between the key, plain-text and cipher-text are more complicated. Theoretical analysis and simulation results show that the algorithm can obtain better cryptographic properties, such as statistical characteristics, difference characteristics and so on. Especially, it has very good robustness.
Keywords: image processing; hyper-chaos; image encryption; bit scrambling; pixel substitution; cipher-text diffusion

Title: A multi-space-value-based truth discovery algorithm

Authors: LIU Xinqiao, SHEN Derong, YU Ge, NIE Tiezheng, KOU Yue
PP: 2319-2326
Abstract: Web sources with different reliabilities may cause conflicts when they try to describe the same entity attributes. Existing conflict resolution methods treat a data item value as a whole, ignoring the differences and independence between each level. In order to solve this phenomenon, in this paper, we first define multi-space value, and then put forward a new truth discovery algorithm based on Bayesian analysis which is aimed at processing multi-level space values. Within the combination of the diversity and individualism, the data items are split into several levels, and then we can pick the truth value based on the Vote value computed by level calculation. And for the first time we compute the accuracy of the source according to the similarities between the multi-information proposed by the source and truth, which causes a new iteration. The experimental results on real-world datasets show that the proposed algorithm can effectively improve the precision and efficiency of truth discovery.
Keywords: database; truth discovery; conflict data; multi-level space

Title: Strategy of hot linking prevention and information classification for paper websites

Authors: ZHOU Chunru, LEI Min
PP: 2311-2318
Abstract: Papers are the main carrier for academic communications, and paper websites are playing important roles as a media. But with the development of hot linking to obtain the full-text of papers, paper websites are suffering from a heavy disaster. To protect paper website from hot-linking and illegal download, in this paper, we designed proactive and passive strategies for paper websites using theoretical analysis and then tested on the virtual environment, based on the most popular hot-linking technologies in current, and we came up with a reference on simple and effective solutions to prevent hot linking.
Keywords: camputer network; information security; anti hotlinking; information classification; proactive; passive

Title: Health management approaches for automotive electronics

Authors: LI Hong1, 2, LIU Jizhou1, YANG Guoqing1, 2, WANG Jie1
PP: 2304-2310
Abstract: With the development of automobiles’ safety and cost-efficiency, considering the requirement of the platform software, in this paper, we introduced a theoretical framework and processing constructure of health management for real-time vehicle control system, and realized the health management module of automotive electronics real-time control system. With the AUTOSAR/OSEK system service application programming interfaces (APIs), the monitoring module mentioned in this paper can get the information of tasks, resources, events, interrupts and so on, while the real-time system is running. Besides, it can get running environment information and the status information of objects under control. Hook functions complete the monitoring, collecting and sending of messages. Simulation tests show that health monitoring approaches can monitor devices effectively and reduce the risk of fault recovery strategy.
Keywords: computer software; automotive electronics; real-time system; health management; software state monitor

Title: Detection system of micro displacement based on image depth estimation

Authors: YUAN Tao, HUANG Tao, CHEN Wen
PP: 2296-2303
Abstract: In this paper, a computer vision distance measurement method based on curve fitting is proposed, the micro displacement detection system based on image depth estimation was designed. We selected suitable image denoising method and image clarity evaluation function to obtain auto valve spool displacement measurement method based on curve fitting to convert the actual displacement, and error detection rate was 0.92%, the accuracy of identification for the 120×103/μm definition, identification of the minimum distance for 20 μm. After studied the influence of different denoising methods on the Brenner resolution evaluation function, we learned that the mean filter could ensure the effect in image denoising, meanwhile, we could improve the accuracy of clarity evaluate function. In the selection of Definition evaluation function under the microscope environment, we chose seven clarity evaluate functions of image, including Gray variance, Energy gradient, Brenner, Entropy, Memmay, Roberts and Vollath. In order to verify whether the seven kinds of clarity evaluation function can meet the characteristics of the ideal definition evaluation function and achieve the 20 μm definition of identification accuracy, we performed verified by experiments, and we got the result that Brenner function achieve the expected requirements in Mean filter.
Keywords: computer applications; estimation of image depth; method of displacement measurement; curve fitting

Title: Social recommendation utility model based on differential privacy

Authors: CHEN Liang, DU Xiuchun, ZHU Peidong
PP: 2290-2295
Abstract: This paper, we propose a social recommendation utility measurement based on the differential privacy, which defines the characteristics of interchangeability and centralized for utility function. By calculating the total numbers of nodes in the network of the recommended target neighbor nodes, we analyze purify privacy boundaries to give limitation conditions of social recommendation and privacy preserving.
Keywords: computer applications; social recommendation; utility function; privacy preserving; differential privacy

Title: 4D light field based on Mental Ray light rendering

Authors: FENG Yanan, LIU Hao, YU Tao, ZHOU Zhong, WU Wei
PP: 2283-2289
Abstract: Due to the simplicity of internal light models, business rendering engines are incapable of representing the complex light conditions in real scenes, which restricts the viability of synthesizing real light data, thus reduces users’ immersion experience. Based on the analysis of four dimensional light field which is constructed from light data sampled by high dynamic range (HDR) light probe array, we raises an approach integrating the four dimensional light field data into Mental Ray and rendering virtual scenes with real light data for the first time. The aim is to enhance the smoothness of transition from real to virtual scenes and eventually to promote the users’ experience in the fusion of real and virtual scenes.
Keywords: computer image processing; virtual reality; light sampling; Mental Ray interation; light rendering

Title: A review of research on large-scale image security retrieval

Authors: ZHUO Li, CHENG Bo, ZHANG Jing, ZHU Ziqi
PP: 2273-2282
Abstract: With the rapid development of the Internet and the global popularity of digital image acquisition devices, digital image resources have emerged an explosive growth. While maintaining the performance of the image retrieval, large-scale image security retrieval ensures the security of imageinformation. In recent years, it has become a research hotspot in the field of image processing. Therefore,in this paper, we summarize the research progress of large-scale image security retrieval for the past few years. Firstly, the basic concepts of key technology of large-scale image security retrieval are given. And then the related works of large-scale image security retrieval are surveyed, including the popular feature extraction methods and local feature clustering in content-based image retrieval, the privacy preservation technology related with image security retrieval, etc. Secondly, some practical applications of large-scale image security retrieval are listed in this paper. Finally, the future research trends of large-scale image security retrieval are pointed out.
Keywords: computer image processing; image retrieval; review; large-scale image; cluster analysis; security analysis

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