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May 30,2017
Volume 10,Issue 10
Pages -
Subject Area:Communications Technology,Artificial Intelligence,Computer Software,Computer Applications

Title: Single-machine scheduling optimization algorithm with periodic maintenance

Authors: WU Yujie, XIE Yong
PP: 1179-1188
Abstract: In order to solve the interation problem between the production scheduling and equipment maintenance, an integrated optimization model was proposed. A two-stage heuristic algorithm (TSHA) was proposed to find an optimal schedule. In the first stage, an initial solution was obtained with the optimal batch ordering rule. In the second stage, through making full use of the batch relaxation time, under the premise of not increasing the maximum tardiness, the reach maximum tardiness workpiece or the starting time of the maximum tardiness workpiece was made in advance to improve the batch scheduling sequence. The performance of the TSHA was evaluated by comparing the solutions with those obtained from CPLEX and an existing heuristic algorithm. The experimental results show that the TSHA can solve the single-machine scheduling problem effectively subject to periodic maintenance.
Keywords: systems engineering; single-machine schecluling; periodic maintenance; heuristic algorithm

Title: Design and implementation of remote monitoring platform based on Internet of Things for online oil filter

Authors: TENG Zijian, SHUAI Liguo
PP: 1168-1178
Abstract: A remote monitoring platform based on Internet of Things (IoT) for online oil filter is proposed to solve the problems existing in the traditional remote monitoring platform, and the corresponding monitoring system and embedded gateway are designed and realized. Firstly, this paper designs the general architecture based on the requirement of the oil filter manufacturer and then develops the data transmitting program based on I/O completion port (IOCP) model and Web application program based on ASP.Net framework. Secondly, the software and hardware development of embedded gateway for oil filter is completed. At last, stress and compatibility testing are conducted. The results show that the remote monitoring platform server has an excellent I/O performance as well as the user experience of Web interface. This platform can also be used in remote monitoring and online diagnosis for elevators and cranes because of its good extendibility.
Keywords: automatic instrumentation and devices; Internet of Things; online oil filter; remote monitoring system; embedded gateway

Title: Study of sun tracking method based on two-dimensional pillow PSD

Authors: SHI Chunyu, LI Tianze, TONG Qifeng
PP: 1163-1167
Abstract: In order to improve the use efficiency of solar photovoltaic power generation, we study a sun tracking method based on two-dimensional pillow position sensitive detector (PSD) by the analysis of the features of two-dimensional pillow PSD. Two-dimensional pillow PSD outputs the incident light spot location information, then amplifies the transformation, and sends the data to MCU by using a serial port. MCU receives the sun altitude angle and azimuth data, then converts it in to a control signal to drive the stepper motor rotate, which can adjust the position of the photovoltaic panels to achieve sun position tracking. Through Matlab software simulation, the electricity of two-dimensional pillow PSD sun automatic tracking system improves twice than fixed system at least.
Keywords: automatic instrumentation and devices; two-dimensional pillow PSD; solar tracking; photovoltaic power generation; position detection; Matlab simulation

Title: Implementation of digital down converter based on the CORDIC algorithm with System Generator

Authors: CHEN Guoping, WEI Dengyi, REN Yi
PP: 1157-1162
Abstract: Digital down converter (DDC) is used in near field security receiver with important sense. The coordinated rotation digital computer (CORDIC) algorithm is the most important way to implement DDC module. This paper builds a full pipeline DDC module on the base of CORDIC algorithm with System Generator of Xilinx company. Comparing with look-up-table (LUT) of the traditional numberically controlled oscillator (NCO) method, this method not only saves more storage resources, but realizes NCO and mixing function, which reduces the cost of hardware implementation and achieves higher computational speed. At the same time, relatively new DSP tools are used which achieve the rapid design and verification of the module.
Keywords: signal and information processing; digital down converter; CORDIC algorithm; System Generator; pipeline; FPGA

Title: Realization of high frequency signal source based on GPS taming clock

Authors: TANG Jing, DONG Huixin, WANG Yulong, LI Liangcheng, YANG Dongxingjian
PP: 1151-1156
Abstract: This paper introduces a new high frequency signal source based on GPS taming clock. Adopting the high-stability frequency signal of GPS taming clock as the reference benchmark, the standard 10 MHz signal is multiplied to 1 GHz with 5×5 harmonic frequency multiplication and 2×2 multiplier frequency multiplication. The 1 GHz signal is sent to AD9910 as the reference clock. And the frequency control of MCU to AD9910 is adopted. As a result, a highly stable and controllable high-frequency signal source system of 50-200 MHz is realized. The test results are satisfactory.
Keywords: signal and information processing; 50-200 MHz high-frequency signal source; GPS taming clock; AD9910; frequency multiplier circuit

Title: Time delay analysis of fractal traffic passing through network servers

Authors: WANG Anqi, LI Ming
PP: 1145-1150
Abstract: In order to improve service efficiency of the network communication system, the relationship between time delay of fractal traffic when passing through network servers and tighten coefficients is analyzed. The variation of scale factors with tighten coefficients is also studied. Upper bound of delay is introduced with the tool of network calculus. Contribution presented is that some cases are simulated to compute time delay. It shows that with the decrease of tighten coefficients, time delay becomes smaller and scale factors become larger, which reveal that fractal traffic can reduce time delay and improve communication efficiency.
Keywords: communication technology; network traffic; time delay; min-plus convolution; fractal traffic; tighten coefficient

Title: Data scheduling algorithm based on Kalman filter for transmission delay prediction

Authors: TAO Yang, LI Jiacheng, LIU Huafeng
PP: 1133-1144
Abstract: To improve the performance of concurrent multipath transmission (CMT) in heterogeneous network, this paper analyzed the relevant factors which cause the packet reordering phenomena and put forward a transmission delay prediction based on Kalman filter (TDP-KF) algorithm. The algorithm firstly gives the effective evaluation scheme of the path transmission delay. When predicting the time of the data chunk arrives at the receiver by TDP-KF algorithm, the waiting delay of the data chunk at the sender improves the accuracy of the prediction, achieves the accurate scheduling of the sender and effectively reduces the receiver data out of order, meanwhile improves the overall throughput of the network performance. The TDP-KF algorithm is proved to be correct and effective by the simulation results.
Keywords: communication technology; heterogeneous network; parallel transmission; Kalman filter; data scheduling

Title: Study progress of separate absorption and multiplication GaN-based avalanche photodiodes

Authors: TAO Ruijie, CHEN Jun
PP: 1125-1132
Abstract: Due to the characteristics of high energy band, high radiation ability and high optical responsivity of GaN, GaN-based avalanche photodiodes (APDs) develop rapidly in the recent years. This paper introduces the development of GaN-based APDs that reviewed, then introduces the structure and model of separate absorption and multiplication (SAM) APDs which develop rapidly, and investigates the polarized methods that change materials parameters (GaN and AlGaN) to improve the method which increase the gain and the breakdown voltage of SAM GaN-based APDs. This paper also studies the relationship between the thickness and doping concentration of the n-type layer, charge layer and multiplication layer with the photoelectric properties of the device. It is found that when the thickness of multiplication layer is 100-150 nm, the thicknesses of n-type layer and charge layer are 50 nm respectively, and the doping concentration of this layer is 3×1019 cm-3, with the optimal performance of the device. Finally it reports the temperature characteristics of SAM GaN-based APDs.
Keywords: semiconductor technology; separation and absorption multiplication; review; polarization effect; avalanche photodiodes

Title: Multi-label learning algorithm based on hybrid strategy and its application

Authors: LEI Shaozheng
PP: 1117-1124
Abstract: In this paper, a multi-label learning algorithm based on hybrid strategy (HSML) is proposed, combined with algorithm adaptation and problem switching strategy. Its basic thought is k-nearest neighbor (kNN) principle and k-labelsets (kEL) principle. The multi-label learning framework firstly overlaps the division of marker sets, and reduces the scale of predictive markers in HSML, then proposes a sub-label set sorting algorithm based on the classification accuracy, and selects some sub-label sets and performs feature extraction in each sub-label set. On this basis, an ML-kNN (multi-label learning based on k-nearest neighbor) algorithm is used to classify each sub-label set. Finally, the whole label set is classified according to the results of all the base classifiers. Experiments show that the proposed algorithm is superior to the ML-kNN and RAkEL (random k-label sets) algorithms for the data sets of Parkinson’s drug recommendation related to the local marker set.
Keywords: artificial intelligence; multi-label learning; k-nearest neighbor; k-label subsets; label correlations locally; Parkinson’s drug recommendation

Title: Research on soft predicate invention based on regularized sparsity

Authors: PAN Jingmin, GAO Zhiqiang
PP: 1106-1116
Abstract: Instead of explicitly creating new predicates, the soft predicate invention (PI) implicitly groups the closely-related rules by using regularized sparsity to regularize their parameters together. This paper presents an improved method of soft PI based on elastic net, which can effectively avoid the occurrence of error cascades. Results show that it can effectively improve the performance of PI, especially in large-scale learning tasks.
Keywords: artificial intelligence; predicate invention; regularized sparsity; elastic net; relational learning

Title: A malicious files detection method based on image texture and BP neural network algorithm

Authors: WEN Guanchao, HU Yupeng
PP: 1094-1105
Abstract: In order to solve the problem better of slow speed of malicious files detection and weak adaptability of multi-platform detection in traditional way, this paper proposes a malicious files detection method based on image texture and BP neural network algorithm. By combining the technology of image analysis and the malicious files detection, the malicious files are converted into gray-scale images. Gray-level co-occurrence matrix (GLCM) algorithm and generalized search trees (GIST) algorithm are used to extract the texture features, and BP neural network algorithm is used for learning and training to detect malicious files from different platforms rapidly. This paper realizes image texture extraction and detection prototype system of malicious files. Through the experimental analysis of a large number of virus samples from the virusshare project, the experimental results show that the method proposed has the characteristics of fast speed, high adaptability in multi-platform testing and high accuracy.
Keywords: software engineering; cloud storage; malicious file; image texture; BP neural network; malicious files detection

Title: An improved algorithm for conceptual semantic similarity based on tree structure of domain ontology

Authors: ZHEN Yaya, ZHONG Xian
PP: 1084-1093
Abstract: With the extensive application of ontology in many fields, the semantic similarity computation based on domain ontology has been a hot research topic. In this paper, the conditions are improved when the computing results of node density are greater than 1, and the weight of each ancestor node is added on the basis of semantic coincidence degree. Considering the semantic distance, node depth, node density and semantic coincidence degree, an improved computational algorithm for conceptual semantic similarity in domain ontology is proposed. By comparing and analyzing the results of the experiment, it shows that the improved algorithm has higher accuracy for the value of single factor and the comprehensive value of semantic similarity degree.
Keywords: software engineering; domain ontology; semantic similarity degree; node density; semantic coincidence degree

Title: Research and application of the medicine invoicing system based on domain-specific modeling method

Authors: LI Hui, WANG Feng
PP: 1075-1083
Abstract: Medicine is related to people’s life and health, and the regulation of medicine must be strictly controlled. After analyzing the management needs of the medicine invoicing system and related medical information protocol, this paper builds up the system model by using the domain-specific modeling (DSM) method, and makes it realizable. This paper summarizes the methods and principles of creating meta-models in specific fields, and introduces the whole process of domain modeling using MetaEdit+, a modeling tool. The DSM method used in this article can ultimately generate directly runable codes by the domain model.
Keywords: computer software; domain-specific modeling; medical information protocol; MetaEdit+

Title: Research and design of fall detection for elderly people based on Android mobile phone

Authors: DUAN Yasu, YU Wen
PP: 1068-1074
Abstract: In order to reduce the pressure of young people to support the elderly, this paper takes the advantages of the universality of Android mobile phones to design a fall detection algorithm for elderly people. The system is based on the change of acceleration and height value of the body. Through the process of data acquisition, data filtering, data feature extraction and so on, and on the basis of the existing methods, the statistical analysis of weightlessness data is introduced to distinguish the falling behavior from other behaviors. When the falling behavior is detected, the system will send the location and other information of the elderly to guardians in the form of notices. Experiments show that the Android mobile phones-based system of fall detection for the elderly have high accuracy rate in the environment of a certain condition.
Keywords: computer application; fall detection; Android mobile phone; sensors

Title: Review of the application of knowledge graph in question answering system

Authors: LIU Liting, SHI Wenxuan, CHENG Shuzhi
PP: 1052-1067
Abstract: With the transition of the Internet from the world wide document web to the world wide data web, major search engine companies turn to build the knowledge graph. This paper summarizes the researches in the field of knowledge graph in order to make a better understanding of the connotation of knowledge graph and its utilization value. Firstly, the origin and development of question answering system and the generality of knowledge graph are introduced. Then, the techniques of building knowledge graph by information extraction techniques are presented. Information extraction techniques are divided into four aspects, including concept hierarchical relationship learning, named entity recognition and entity linking, factual knowledge learning and event knowledge learning. Finally, knowledge graph is applied to question answering system, and it can be concluded that the knowledge graph is expected to expand the scale of knowledge base effectively and provide a new orientation for the further study of question answering system. However, the development of knowledge graph has both opportunities and challenges, which calls for further researches to gain a deeper understanding on knowledge graph.
Keywords: computer application; knowledge graph; review; question answering system; information extraction; deep learning

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