International Journal of Circuits, Systems and Signal Processing


ISSN: 1998-4464
Volume 13, 2019

Notice: As of 2014 and for the forthcoming years, the publication frequency/periodicity of NAUN Journals is adapted to the 'continuously updated' model. What this means is that instead of being separated into issues, new papers will be added on a continuous basis, allowing a more regular flow and shorter publication times. The papers will appear in reverse order, therefore the most recent one will be on top.

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Volume 13, 2019


Title of the Paper: Design of a Low Cost LIDAR Scanning System for Didactical Applications

 

Authors: L. Olcomendy, F. Santos-Cessac, Ph. Dondon

Pages: 366-372

Abstract: With the permanent arrival of new technologies, electronic teaching consists nowadays of numerous updated fields and topics. However, connections and footpaths between them must be done by students. In that way, transdisciplinary projects were started in our electronic institute while respecting severe budget constraints. As example, we present here the complete design of a low cost scanning system for didactical applications. The design includes a LIDAR sensor, motor control system, a processing board with embedded open source software for processing data and generating a formatted VRML file able to be displayed with a 3D viewer, for a 3 dimensions visualization of the scanned environment. General context is highlighted. Global design and results are detailed. Lastly, pro and con’s as well didactical and financial aspects are discussed within the context of global economic difficulties and budget reduction for education.


Title of the Paper: Network Controller Design and Analysis based on Fuzzy Control Theory

 

Authors: Liping Lu

Pages: 358-365

Abstract: In order to improve the stability and control performance of network control system, this paper establishes the model of network control system by using Simulink module and TrueTime toolbox, designs network control system with time delay, analyzes different control algorithms of controller, obtains the output signal of network control system by using PID control algorithm, acquires the output signal of network control system by using fuzzy PID control algorithm, gets the output signal of network control system by using fuzzy T-S PID control algorithm; Through calculation and analysis, we find that when network control system has longer time delay, the fuzzy PID control algorithm and the fuzzy T-S PID control algorithm have better adaptability and control effect, the output signal of network control system by using fuzzy T-S PID control algorithm and fuzzy PID control algorithm have smaller overshoot and shorter adjustment time, and reaches quickly stability, but the output signal of network control system by using PID control algorithm has bigger overshoot and longer adjustment time or even instability, the experimental result shows that the fuzzy T-S PID control algorithm and the fuzzy PID control algorithm can compensate time delay and improve the stability of network control system.


Title of the Paper: The Conditional Connectivity and Restricted Connectivity of ECQ(s,t)

 

Authors: Chen Guo, Leng Ming, Zhifang Xiao, Shou Peng

Pages: 352-357

Abstract: The exchanged crossed cube ECQ(s,t) is a novel interconnection network which has better properties than other variations of hypercube, such as crossed cube and exchanged hypercube, in terms of diameter, number of links and cost factor. In order to clarify the fault-tolerant ability of exchanged crossed cube and lay a foundation for the further study, in this paper, we study the conditional connectivity and restricted connectivity of ECQ(s,t). By exploring the topological of ECQ(s,t), we show several topological properties of ECQ(s,t). Based on these properties, we determine that the conditional connectivity and restricted connectivity of ECQ(s,t) are 2s, where t≥s>2. The research results of this paper will provide the key parameters for the reliability evaluation of ECQ(s,t) in the future. So it has important theoretical significance and application value.


Title of the Paper: Kalman Filter Method based Vehicle Mass Estimation for Automobile Suspension System

 

Authors: Wanmin Li, Yan Wang, Yaping Zhang, Yunzi Yang

Pages: 344-351

Abstract: For the issue of inconstant sprung mass caused by passengers and freight in practical application, a combination method of Kalman filter and recursive least square is adopted in this paper. With sprung mass acceleration, dynamic deflection and wheel vertical acceleration, the sprung mass velocity and wheel vertical velocity are estimated using forgetting factor based recursive least square method. Corresponding to different road grade, accuracy effected by the process noise covariance and measurement noise covariance is researched. As to the steering stability effected by sprung mass estimation, the yaw velocity using sprung mass estimation is compared to actual yaw velocity. The simulation results show that the sprung mass and the estimation can be identified precisely with process noise and measurement noise selected appropriately according to the road grade. The estimated sprung mass parameters are feasible for steering stability analysis.


Title of the Paper: Cooperative Detection of CMMB Signals based on Scattered Pilots and Clustering in Cognitive Radio Networks

 

Authors: Huiheng Liu, Zhengqiang Wang

Pages: 336-343

Abstract: China multimedia mobile broadcasting (CMMB) is a mobile television and multimedia standard specified in China. CMMB provides television services for mobile terminals. In cognitive radio networks (CRNs), the secondary users (SUs) can utilize the idle spectrums of CMMB primary user (PU) when CMMB signal is absent. This paper explores the cyclostationarity of CMMB signals and spectrum sensing schemes in CRNs. We propose a scattered pilots (SP) local detection scheme based on the first order lag filter. However independent detection is usually influenced by the shrinkage and shadowing problems, etc. Then a cooperative detection algorithm for CMMB signals based on scattered pilots and weighted-clustering (SPWC) is proposed. First, the SUs are classified into a few clusters according to the distances between SUs and the fusion center (FC). Second, Each SU in clusters makes a local decision based on the SP local detection scheme and sends the decision result to a cluster head. Then the cluster head will make a cluster-decision and send the result to the FC. Finally, the FC makes a final decision based on the distance weighted cluster-decisions. Simulation results show that the proposed SPWC cooperative detection algorithm can detect the spectrum holes of CMMB signals effectively and easily.


Title of the Paper: Anti-noise Algorithm based on Time Domain Superposition in G3-PLC System

 

Authors: Li Zhao, Xiaolu Jiao, Tong Zhu, Feng Zhang

Pages: 328-335

Abstract: Because of the characteristics of multipath and fading, especially in the case of serious noise interference, G3-Power Line Communication (PLC) standards cannot satisfy the high quality communication requirements. In order to improve the reliability of power line communication, time domain superposition coding module based on the G3-PLC standard is introduced in this paper. By appending time domain superposition coding to the baseband OFDM signal, system capacity against multipath and fading can be improved. Secondly, simulation is carried out in Gaussian channel and multipath channel environment respectively. The results demonstrate that the PLC platform with time domain superposition coding module can obtain about 3~4dB gain in Gaussian channel and 4dB gain in multipath channel. Finally, in order to further intuitively represent the performance of time domain superposition coding algorithm, a set of pictures are used as the information that were transmitted from the power line. The information is coded according to G3-PLC standard and time domain superposition coding separately. The experimental results show that the time domain superposition coding algorithm can realize high-quality communication when the power line is seriously disturbed by noise.


Title of the Paper: A Formal Method of Secrecy and Authentication Analysis for Ad-hoc Secure Routing Protocol

 

Authors: Lei Yu, Yuyan Guo, Mingming Jiang

Pages: 320-327

Abstract: Ideals and honesty theory is the branch of the strand space model theory. The concept of ideal can not only strictly define attacker's ability, but also give precise definition of protocol security attribute. The theory of honesty reduces the complexity of formal analysis for secure protocol, and makes the formal analysis more scientific and rigorous. Authentication and secrecy are the main security attributes of Ad-hoc secure routing protocol. Because the Ad-hoc network has the characteristics of no center, mobile and open, the formal description of the network environment and security attribute of Ad-hoc security routing protocol is more complex. Because of the lack of formalized theory in the structure and security attribute analysis of message components, the non-formal phenomenon exists in the analysis of security protocols using ideal and honesty theory. In this paper, the formal analysis theory of the structural features and security attributes of the message component is perfected, and the network environment and the security attribute of the secure routing protocol are formally defined by the ideal and honesty theory. Based on the formal analysis of the SGSR secure routing protocol, a more rigorous and effective formal analysis method for security and authentication of Ad-hoc security routing protocol is given.


Title of the Paper: A Method of Forest-Fire Image Recognition based on AdaBoost-BP Algorithm

 

Authors: Dehong Ding, Sisi Zhu

Pages: 312-319

Abstract: In view of the shortcomings of the existing forest flame recognition technology, in order to further improve and perfect some problems of the flame image recognition technology, provide guidance and technical support for fire detection products. The research is focus on flame information of physical characteristics, which combines with image processing techniques and comes up to a recognition way of forest flame that character of highlight area based on image and a flame recognition method of BP neural network for forest fire based on AdaBoost. AdaBoost-BP method uses the BP neural network as the basic weak classifier, and then updates it through the specific algorithm, and constructs a combination of strong classifier. Those methods are mainly extracting Color, Area and Circularity of pretreatment image, then output AdaBoost-BP neural network learning to realize firework recognition. Using single algorithms and single characteristic to analyze, easily led to accuracy is not high. It not only can make up for that shortcoming but also eliminate interference interruption, and improves efficiency of image recognition for forest.The recognition rate is about 94%, and the training time is about 250 times to achieve convergence. The computation speed is only 0.01292 seconds.


Title of the Paper: Evaluation and Health Status Prediction Method of Beer Filling Production Line based on Data Mining Technology

 

Authors: Guo-cheng Niu, Zhen Hu

Pages: 306-311

Abstract: Considering the current situation that the system Health index of beer filling production line is hard to assess, quantify and predict, a prediction method of system health status based on the support vector machine(SVM) is proposed. Based on the principle of information entropy, through the big data analysis method, this paper quantitatively analyzes the behavior patterns and correlations between the internal attributes of the system, and calculates the real-time Health index of the production line system. The SVM method is used to predict the future bearing capacity of the production line, and the cross validation method and genetic algorithm are used to optimize the parameters (c and g) of SVM, and to construct the prediction model of Health index of filling production line. Finally, the simulation experiment is made to verify this method. The results show that this method is correct and feasible. By using this model, the prediction accuracy of the Health index of the filling production line can reach 0.9254, which can better guide production process improvement, equipment maintenance and production scheduling, and provide strategic support for scientific assessment and energy saving optimization of filling production line.


Title of the Paper: Rotational Speed based Power Curve Model of Wind Turbine

 

Authors: Navjot Singh Sandhu, Saurabh Chanana

Pages: 296-305

Abstract: The power curve of a wind turbine is one of its major characteristics and is used to compute its power output. Estimation of power output and energy yield of a wind turbine is required for performance analysis, planned economical operation and energy management. All this require power curve data and such data as supplied by the manufacturer is neither site-specific nor it accounts the wear and tear of the turbine. It can be used only if a wind turbine is operated as per its design specifications. Hence there is a need to develop the power curve model of a wind turbine which should include the effects of environmental changes such as temperature, pressure, and humidity etc. Moreover, it should include the effects of any wear and tear of the turbine on its output. Keeping it in view, in this paper, a new rotational speed based power curve model is proposed. Proposed model needs only site-specific rotational speed data of the turbine corresponding to its cut-in and rated wind speed. This makes the model accountable to climatic changes and mechanical issues of the wind turbine. Comparative analysis as presented in the paper proves the accuracy of proposed power curve model.


Title of the Paper: A New Environment Parameter Monitoring System based on ZigBee Protocol

 

Authors: Chaoyi Zhang, Yili Zheng, Rongqiao Chen

Pages: 289-295

Abstract: This paper designed a new environment parameter monitoring system which based on Zigbee protocol, the hardware includes Zigbee wireless transmission circuit and control function of peripheral circuits, the software includes coordinator, router and host computer program, and it can realize remote transmission system to achieve environment temperature, humidity and other environment parameters. The system debugging and testing were carried out in the test field, system reliability was verified through a series experiments, such as antenna height test and multi-hop network experiment. The results show that this system achieves the purpose of real-time monitoring environment parameters, reliable network transmission, monitoring area good coverage, combined with different monitoring requirements, this system can be stable and reliable operation under the condition of obstacle shelter and bad weather conditions.


Title of the Paper: Bayesian Network Learning based on Characteristic Confidence Guidance Under Large Data Sets

 

Authors: Cai Yang

Pages: 281-288

Abstract: At present, the accuracy of many algorithms for Bayesian network learning under large data sets is not high. In order to solve this problem, a Bayesian network structure learning algorithm for the feature confidence guidance under the large data sets is proposed. The algorithm uses the distributed learning and the incremental learning method. At the same time, the improved SEM algorithm is used to fill the missing data, enhance the accuracy of each batch of data learning, improve the quality of the final network model. The experimental results show that the proposed algorithm has better quality of learning results, and solves the problem of insufficient memory space. The experiment of network traffic prediction shows that the proposed algorithm has a high accuracy rate of classification prediction.


Title of the Paper: Application of CSA - BP Neural Network in Gearbox Fault Diagnosis

 

Authors: Lijun Wang, Shengfei Ji, Nanyang Ji

Pages: 273-280

Abstract: Cuckoo Search Algorithm as a new group intelligent optimization algorithm is developed in recent years. In this paper, the algorithm of cuckoo search optimization BP neural network is applied to the gearbox fault diagnosis for the first time. The operating states of the gearbox include normal operation, gear missing teeth, tooth surface wear and gear eccentricity. Meanwhile, in order to reduce the interference of noise on the fault identification,the collected vibration signal is denoised by using the decomposition and reconstruction to wavelet packet. The parameters of BP neural network are optimized by the Cuckoo Search Algorithm and used to determine the gearbox fault identification. Finally, the recognition results are compared with the results of GA - BP neural network and PSO - BP neural network. The results show that this algorithm can identify the status of each condition and achieve diagnostic recognition in gearbox fault diagnosis. Therefore, it not only plays a key role in reducing property damage and personal injury caused by equipment damage, but also has very important significance for its research in other fault areas.


Title of the Paper: A Pseudo Entropy based Self-Organizing Neural Network for Nonlinear System

 

Authors: Xin Feng, Jiangming Kan

Pages: 266-272

Abstract: The structure of feed forward neural networks strongly influences their nonlinear function approximation results. This paper proposes a self-organizing neural network that can automatically adjust the number of hidden layers and alter the neurons of each hidden layer in accordance with training data. To ascertain the optimal neural network structure, the pseudo entropy of each hidden layer determines the number of neurons it contains, and the reduced mean square error of the entire neural network determines the number of hidden layers. A tuning optimization algorithm tunes the parameter weights and biases. Experimental results show that the proposed neural network outperforms the state-of-the art feed forward neural network and the proposed self-organizing algorithm is very effective for nonlinear function approximation.


Title of the Paper: Blind Estimation of Long and Short Pseudo-random Codes in Multi-rate LSC-DS-CDMA Signals

 

Authors: Fangfang Qiang, Zhijin Zhao, Xiaowei Gu, Xianyang Jiang

Pages: 259-265

Abstract: Aiming at the problem of blind estimation of pseudo-noise codes in multi-rate long and short codes direct sequence code division multiple access signal, in this paper, a novel codes estimation method based on Fast-ICA algorithm and sequences properties is proposed in this paper. The received signal is firstly segmented twice according to its maximum long scrambling code period and minimum spreading code period. Each user’s composite code fragments consisting of long and short codes are separated by Fast-ICA algorithm. Then the user's long and short codes are estimated in descending order of the data rate, and the specific steps are as follows. Firstly, the separated composite code fragments make up the fuzzy sequences, and the double delay-and-multiply method is used to eliminate the order fuzzy and spread code interference. Secondly, combined with cyclotomic cosets and triple correlation properties, the method of feature information matching is used to estimate the long scrambling codes of all users with the same data rate. Meanwhile, the short spread codes are estimated by correlation operation. Lastly, all the estimated users’ composite code fragments are deleted by using similarity matrix, fuzzy sequences are reconstructed, and three steps above are repeated until all users’ long and short codes are estimated. Simulation results show the effectiveness of the proposed method.


Title of the Paper: Convergence of the Euler Method in Probability to SDEs under the Generalized Khasminskii-type Conditions

 

Authors: Hui Yu

Pages: 251-258

Abstract: The Euler method is introduced for stochastic differential equations (SDEs) with piecewise continuous arguments driven by Poisson process under the generalized Khasminskii-type conditions which cover more classes of such equations than classical conditions. To our known, few results are presented to such equations in current literature. Here, three results are obtained for such equations. Firstly, the existence and uniqueness of global solutions to such equations are proved by Itô formula and mathematical induction. Secondly, the Euler method with a given step-size is constructed. Lastly, the convergence of the Euler method in probability for such equations under the generalized Khasminskii-type conditions is investigated by means of the continuous-time Euler method. All the results show that on the basis of the existence of such equations, the Euler method is convergent in probability under the Khasminskii-type conditions. Moreover, some numerical examples are given to the results.


Title of the Paper: Systematic Risk Measurement Based on CoVaR Model

 

Authors: Xiaohua Duan

Pages: 243-250

Abstract: With the vigorous development of China’s insurance industry, it is necessary to objectively measure the systematic risk of the insurance industry. In this paper, the author selects three listed insurance companies in China as the research objects, and uses the combination of model and quantile regression model to conduct empirical analysis in order to measure the spillover effect of systemic risk in insurance companies. The measurement results show that the risk spillover value of CPIC (China Pacific Insurance Company) is the largest, followed by China Life Insurance Company (China Life), and Ping’an Insurance Company of China (China Ping’an) is the last. Finally, the author puts forward the countermeasures and suggestions to prevent the systemic risk of insurance industry by combining with the results of the empirical analysis. There should be a reasonable measurement and regulatory system, especially for risk and infection between insurance companies.


Title of the Paper: Effect of Site and Size of Wind Turbine on its Economic Operation

 

Authors: S. Bajaj, K. S. Sandhu

Pages: 237-242

Abstract: Effective, efficient and economical generation of power for the society is a big challenge today. Economic Power generation to fulfill the demands of the consumers is necessary for any country. Renewables like wind, solar, hydro etc. play an important role in facilitating the adequate amount of power generation for the masses. Among these renewable energy sources, generation of power from wind energy may be classified as an Effective, efficient and economical way. This paper includes the economics analysis of wind power generation of three different locations having different mean wind speeds. Seven wind turbines with different dimensions and ratings have been employed for such analysis. Further an attempt has been made to compare the economics of different wind turbines of different power ratings at different location on the basis of levelized cost of energy (LCOE). It is observed that economics of wind power plant depends upon site specification and characteristics of different wind turbines. Also with increase in power rating of the wind turbine, the levelized cost of energy for the given location decreases. It has been seen that for a particular location with increase in the rotor diameter the LCOE deceases. Analysis show that that for any wind turbine LCOE will decrease with the increase of the mean wind speed for a given installation site.


Title of the Paper: Multi-Channel Access in Ultraviolet Space Optical Communication

 

Authors: Yanfeng Tang, Hongzuo Li, Bailiang Huang

Pages: 229-236

Abstract: Space optical communication have some special advantages, such as high degree of confidentiality, large information capacity. It has been the research hotspot in the field of wireless communication. But it is strict with link and weather because of the communication mode that point to point. It limits the application of space optical communication. Ultraviolet(UV)communication is different from other optical communication methods. The UV is transmitted with scattering principle in atmospheric. So, it is suitable for Non-Line- of -Sight communication. But it is limited that the communication distance because the received energy attenuation is serious. Moreover, the signals will interfere with each other when they reach the receiver which are transmitted from multipath because of atmospheric scattering. It will lead to the high bit error rate of the UV communication. In this paper, it is presented that the multiple access technology of ultraviolet which uses the multipath effect. The main goal of the technology is to improve receiving total energy and increase the communication distance of ultraviolet communication. Meanwhile, it is solved that the signal interference when multipath signal reach the receiver. The ultraviolet communication will be applied extensively in the wireless network, emergency communication, sensor communication system, with the unique advantages of non-line-of-sight transmission and all-weather work.


Title of the Paper: Signal Detection based on Real-Time Channel and Phase Tracking

 

Authors: Xin Meng, Qichao Zhang, Jianfu Teng

Pages: 222-228

Abstract: In order to solve the problem of fast time-varying channel in spaceborne AIS systems, a signal detection algorithm based on joint channel and phase real time tracking is proposed. The algorithm combines real-time tracking of the channel and phase to realize the joint estimation of parameters and symbol sequences. So, it avoids the serious distortion and crosstalk of the signal when the channel changes quickly, which can be better applied to the spaceborne AIS system to ensure the stability. Simulation results show that the algorithm has a better performance than differential detection, Viterbi decoding and per survivor processing (PSP) signal detection algorithm, and has strong ability of anti frequency offset.


Title of the Paper: Optimization of VRP for Single Distribution Center Based on Improved Saving Method

 

Authors: Xia Li

Pages: 213-221

Abstract: As the "third source of profit" in the world economic activities, logistics has been paid attention by all countries in the world, especially in the developed countries. The development of logistics has been quite mature, and the logistics management and technology have been widely used. In order to reduce the cost of logistics distribution, vehicle routing problem in logistics system has become a hot issue. The selection of rational distribution path for vehicles directly affects the service level and the cost of the distribution center. The optimization and scheduling of the distribution center can improve the economic efficiency of the logistics and realize the scientific logistics. On the basis of saving mileage, the author considers the influence of distance between distribution centers and users and users on path planning, so as to achieve the path search of the shortest distance. Taking a chain supermarket as an example, the author combines the distance factor and plans the distribution route of vehicle. The results show that the algorithm can effectively solve the optimal solution of vehicle routing problem for single distribution center.


Title of the Paper: Comparative Evaluation of Denoising of Tree Radar B-scan Images using Multi-resolution Analysis Algorithms

 

Authors: Zhaoxi Li, Jian Wen, Zhongliang Xiao, Mingkai Wang

Pages: 205-212

Abstract: This paper uses Ground Penetrating Radar (GPR) to detect the decays in the tree trunk such as decay, scar, void, etc. The noise submerges the feature information of the defects, which lead to inaccurate or even incorrect results. This paper focuses on multi-resolution algorithms, which serve to improve the signal to noise ratio (SNR) of tree radar B-scan images, and extract the edge feature information of defects. The performance of these algorithms will be compared in PSNR and EPI (edge preservation index). The experiments carried on the simulated tree radar data which is obtained by GprMAX based of FDTD (Finite-Difference Time-Domain) and the actual willow radar data which is obtained by TRU tree radar detect system .This paper also presents the results of forward tree radar B-scan image and reality tree radar B-scan image.


Title of the Paper: An Efficient Round Robin Task Scheduling Algorithm based on a Dynamic Quantum Time

 

Authors: Chunhong Zhang, Ping Luo, Yuye Zhao, Jianqiang Ren

Pages: 197-204

Abstract: In the round robin (RR) algorithm, the length of the static quantum time is difficult to determine, too long or too short is not appropriate. If the time slice is too long, the RR algorithm is degraded to First Come First Served (FCFS) algorithm. Each process is executed in one time slice, resulting in a long response time. If the time slice is too short, a user's request will need more time slices to process. The number of context switches will increase and the response time will be longer. There are still some shortcomings in the existing algorithms of dynamic round robin. Therefore, a dynamic round robin scheduling algorithm based on median is proposed, which is called the Median-based Dynamic Round Robin (MDRR) algorithm. The algorithm treats scheduling tasks in ascending order according to the size of their burst time. Then the burst time of the next task that is adjacent to the median is selected as the quantum time for each round scheduling. Each round of scheduling needs to calculate a time slice, instead of calculating the time slice for each task, so the algorithm complexity is low. The simulation experiment showed that the MDRR algorithm can maintain good performance in many cases. It has a good balance between the scheduling overhead, system waiting time, system performance and fairness. The MDRR has better performance than other improved round robin algorithms.


Title of the Paper: A Fractional Wavelet and its Implementation using Single Switched-Current Integrators

 

Authors: Mu Li, Wenxin Yu, Xiaofeng Wu, Zaifang Xi

Pages: 191-196

Abstract: A fractional wavelet based on fractional order system and its analog current-mode switched-current (SI) circuit implementation with few components and simply structure is presented. Firstly, it is shown that the impulse response of a fractional order band-pass filter satisfies the admissibility condition to be considered a wavelet base. Then the wavelet filter circuit is designed using single SI integrator and the different scale wavelet functions for implementing wavelet transform (WT) are obtained by only changing the clock frequency with the same circuit architecture. The time and frequency domain responses of the fractional wavelet filter circuit are given. Meanwhile, the sensitivity and imperfection of the designed circuit is analyzed. Finally, Simulations verify the correctness and feasibility of the proposed method.


Title of the Paper: Financial Model based on Principle Component Analysis and Support Vector Machine

 

Authors: Zhuo Zhang, Jia Wang

Pages: 183-190

Abstract: Financial pre-warning model plays a vital role in the financial monitoring of one business. It can help management to predict, prevent and control enterprise financial risks. This paper builds up a new financial model based on the integration of principle component analysis (PCA) and support vector machine (SVM) model at a standpoint view. The model indicates higher accuracy than some prevailing financial monitoring model by comparing and analyzing some samples under China’s special economic environment. The model algorithm takes core information of all samples into consideration as to the feature extraction process of sample data. The redundant index information undergoes compression-based extraction. Under the prerequisite of maintaining key index information, disturbing factors in sample indexes are eliminated to optimize the training performance of the follow-up monitoring and diagnose model. At a result of the empirical study, this paper proves new integration model can more efficiently help enterprise to predict, prevent and control financial risks of the enterprise.


Title of the Paper: Multi-criteria Decision Making Method with Interval Neutrosophic Setting based on Minimum and Maximum Operators

 

Authors: Limin Su, Huishuang He, Hongwen Lu

Pages: 177-182

Abstract: The interval neutrosophic set (INS) is a subclass of the neutrosophic set (NS) and a generalization of the interval valued intuitionistic fuzzy set (IVIFS), which can be used in engineering and scientific practice. This paper aims to present a new multi-criteria decision making method under interval neutrosophic setting. For this purpose, a comparative method between two interval numbers is firstly given. Then, some new similarity measures based on minimum and maximum operators with INSs are proposed. Thirdly, a multicriteria decision making method with INSs is established. Finally, an example is used to illustrate the practicality and validity of the proposed decision making method.


Title of the Paper: Cognitive Adaptive Travelling Window Filter Technology Implementation on Heterogeneous Multi-core Architecture

 

Authors: V. Jean Shilpa, P. K. Jawahar

Pages: 170-176

Abstract: Low frequency signals are corrupted mainly by high frequency noise signals. In the last few decades many efficient algorithms have been proposed to design FIR filters for noise suppression in digital signal processing systems. Majority of these algorithms focus on static noise suppression techniques for noisy signals of different frequency. To overcome this major drawback, this paper proposes and designs Cognitive adaptive travelling (CAT) window algorithm for adaptive noise suppression, with flexible architectural changes to FIR filter structure based on the frequency and amplitude of the noise signal. CAT algorithm for FIR filters is designed using windowing technique which is hybrid of different traditional existing windowing techniques. This adaptive filter achieves 17% fall off, of the first side lobe noise to suppress the noise contents with 47% fall of rate of maximum side lobe noise levels achieving a side lobe role-off factor from -13 dB to -16.9 dB compared to static FIR filters. With the above achieved improvements, the hybrid CAT window is 23% efficient compared to static FIR filter. With Zynq processor being an implementation platform, CAT window FIR filter is efficiently mapped to an efficient heterogenous multicore architecture.


Title of the Paper: Image Segmentation based on Improved Regional Growth Method

 

Authors: Zhanshen Feng, Peiyan Sun

Pages: 162-169

Abstract: Image segmentation is to divide an image into multiple regions according to the consistency requirement of certain image features. In image segmentation, firstly, we should mark and locate the target and background in the image according to the prior knowledge of the target and background. Secondly, the target to be identified is separated from the background. The segmentation of images, the separation of targets, the extraction of features and the measurement of parameters will transform the original image into more abstract and compact form, making the analysis and understanding of the higher level possible. It is not only a key step to conduct image analysis, but also the foundation to further understand the image. Regional growth method is a method to gather the pixel points according to the similarity of the regional pixels of the same object and starting from the surrounding small neighborhood of every pixel, it incorporates the pixels with the same feature or other regions into the current region so as to gradually expand the region until there is not point or another small region to be incorporated. This paper, in order to solve the deficiency of slow transition in gray value and inconspicuous boundaries of conventional regional growth method, improves the growing criterion of regional growth method, gathers pixels based on the similarity of the regional pixels of the same object and includes the neighboring pixels with the same features or other regions into the exiting region in order to gradually increasing the region until there are no more pixels or other tiny regions to be included. The similarity measurements of the regional pixels include average gray value, textures, colors and other information. The experiment result proves that the algorithm of this paper results in better segmentation, improves the segmentation accuracy and reduces the over-segmentation and insufficient segmentation.


Title of the Paper: An Analog Circuit Fault Diagnosis Approach using DBN as a Preprocessor

 

Authors: Chaolong Zhang, Yigang He, Renxiong Liu, Lanfang Zhang, Shanhe Jiang

Pages: 156-161

Abstract: In order to diagnose analog circuit faults effectively, an analog circuit fault diagnosis approach using deep belief network (DBN) as a preprocessor is proposed in the paper. Time responses are measured by sampling outputs of the circuits under test. Features are extracted by using the DBN method based on the time responses. A fault diagnosis model using least squares support vector machine is set up based on the extracted features. Sallen–Key bandpass filter and four-opamp biquad highpass filter fault diagnosis simulations demonstrate the diagnose procedure of the proposed approach, and a comparison simulation also validates that the proposed features extraction method can produce better extract performance than the conventional methods.


Title of the Paper: A Perishable Production Inventory System with Service Time and its Performance Evaluation

 

Authors: Yaling Qin, Dequan Yue

Pages: 148-155

Abstract: This paper studied a perishable inventory system with a service facility, which is a kind of production inventory system that require a certain service time before customers receive the specified goods. The continuous review (s, S) production inventory policy was adopted for the system. It means that productive facilities start to produce goods, while the inventory level decreases to s; otherwise, the productive facilities will be stopped to produce goods, while the inventory level achieves to S. The customers arrive according to a Poisson process. All arriving customers during stockout are lost. The life time of the item, production time and service time are assumed to have independent exponential distributions. The stationary joint distribution of the queue length and the on-hand inventory is obtained. Various system performance measures are derived and the total expected cost is calculated. The impact of different parameters to the system performance measures and the total expected cost are illustrated numerically.


Title of the Paper: NCD-TAP: A Tracking Area Planning Approach based on Newman Community Detection for HCN

 

Authors: Shanshan Tu, Qiangqiang Lin, Weipeng Wang, Kaili Sun, Yao Huang, Hong Phong Nguyen

Pages: 140-147

Abstract: In heterogeneous cellular network (HCN), the cell is usually divided into tracking areas (TA) for better management of users’ locations. The trade-off between location update signaling and system paging signaling is a core issue in TA planning. However, the existing TA planning solution aiming at large-scale deployment of small cell has the problems of uneven location updating signaling, ping-pong effect and so on. Against the above problems, this paper presents NCD-TAP, a novel TA planning method based on Newman fast community detection algorithm. Firstly, the TA planning problem is modeled as a complex network community detection problem and the Newman algorithm in the community detection is used to propose the TA planning scheme. Then, the modularity concept of community partition is introduced to measure the performance of TA planning scheme. Finally, the experimental simulation results show that the scheme proposed in this paper has obvious advantages in the case of large scale of small cell and high expectation of small cell Poisson distribution, and is suitable for massive cellular deployment environment.


Title of the Paper: Path Planning and Trajectory Tracking Control of Large Intelligent Mowing Robot based on GPS-RTK

 

Authors: Jiehua Zhou, Yongguo Zhu, Cihui Yang

Pages: 132-139

Abstract: In order to improve the mowing efficiency in large lawn, a large intelligent mowing robot was designed by using the technology of mobile robot and global positioning system-real time kinematic (GPS-RTK). The path planning and trajectory tracking control must be solved for realizing its application. Firstly, the paper introduces the functions of each subsystem and establishes the robot’s kinematics model by using Ackerman model. Secondly, according to the GPS information, a round-trip straight path planning and trajectory tracking control algorithm were proposed in the polygon working area. Finally, the path planning and trajectory tracking control algorithms were simulated and experimental studied. The cutting leakage rates of simulation and experiment are respectively 7.15% and 8.89%. The results show that the proposed path planning and trajectory tracking control algorithms are effective.


Title of the Paper: A Method for Energy-efficient Optimization on Multi-Cores

 

Authors: Hua Jin, Aixin Wang, Yatao Zhu

Pages: 120-131

Abstract: Power-performance assignment is a popular method for energy-efficient optimization of multi-core processors nowadays, where power-performance models are commonly used to search for optimal configuration in two dimensions: core number and frequency. However, the state-of-the-art methods for searching optimal energy-efficient configurations between core number and frequency suffer from slow convergence speed, tremendous overhead, and poor scalability, which prevents them from practical applications. In this paper, an efficient search method based on feasible direction method is proposed to quickly reduce search space in core number and frequency, as well as to quickly converge to the minimum point of energy consumption through the iterative process. Moreover, the power-performance model can be flexibly revised by measuring power and performance of each rational configuration. The experimental results show that, compared with Hill-climbing Heuristic which is one of the best existing search methods, our framework makes average elevations in the number of execution times, execution overhead, energy overhead by 38.6%, 43.9% and 46.7%, respectively. The enhancement will be 47.6%, 50.2% and 49.3%, when doubling the cores of a multi-core processor, and 44.7%, 49.1%, 53.2%, when doubling the frequency levels.


Title of the Paper: An FPGA-based Pulse Integration System to Improve the SNR of Radar Echo

 

Authors: Chengchang Zhang, Sa Yu, Lihong Zhang, Yuwen Gong

Pages: 114-119

Abstract: An efficient pulse integration scheme based on FPGA to improve the signal to noise ratio (SNR) of received radar echo is presented. Radar echo is mixed with noise, due to noise interference, useful radar signals may be completely submerged in noise, it is difficult for radar receiver to detect useful target signals. With the benefit of FPGA high speed and parallel computing features, it is developed by sampling multiple cycles received radar echo, storing and accumulating the sampled data in FPGA. Useful radar pulse in radar echo mixed with noise is coherent in different cycles, the process of accumulation makes the value of radar pulse increase, whereas the noise is random, the change of noise is not obvious. So, radar pulse is strengthened, otherwise noise is suppressed. In ideal case, the integration for M cycles of radar echo can increase SNR by M times. This method provides a valuable method for radar design, especially, it is valuable for the digitization and miniaturization of radar receiver.


Title of the Paper: Optimization of Beds Allocation based on Queuing Model and the Particle Swarm Optimization Algorithm

 

Authors: Yumei Hou, Hui Zeng, Yimin Wang, Xueqin Wang, Qiuye Gao

Pages: 105-113

Abstract: Hospital bed is a critical resource. So it is very important for the beds allocation among the different departments. Based on queuing theory, the model of beds allocation among the departments is constructed, which has two constraints are the patient loss rate and the bed utilization rate. Then the particle swarm optimization algorithm with inertia weight is designed for the model of beds allocation among the departments. Accordingly M hospital’s beds allocation among the departments is derived by the beds allocation optimization scheme and the particle swarm optimization algorithm. In the end the optimal beds allocation is compared with the current beds allocation planning which shows that the proposed scheme is able to allocate resources reasonably so that it can reduce the number of patients lost and optimize the operating costs of the departments.


Title of the Paper: The Composite Control Method for the GDI Engine Idle Speed Control

 

Authors: Honghui Mu, Jun Tang

Pages: 97-104

Abstract: Engine idle control is related to the engine’s fuel consumption and exhaust-gas pollution level, effective idle speed control (ISC) can improve fuel economy and reduce exhaust emissions. Based on the Gasoline Direct Injection engine (GDI) as the research object, the average value of three-state kinetic model is adopted to construct four-stroke gasoline engine dynamics model. The composite controller is proposed to control the engine model, the throttle valve and the spark advance angle are selected as control variable. Fuzzy self-turning PID control mode as feedback controller is presented to control the speed error. The neural network prediction algorithm combines the advantages of predictive control and advance regulation with the advantages of neural network infinite approximation, which has a great effect on improving the following and anti-interference of the system. The simulation results show that the idle speed ripple value is less than 8rpm when the sudden variable load is add to engine, and engine idle speed fluctuation with controlling the throttle value and the spark advance angle is reduced. This control method has better performance than only by controlling the throttle value.


Title of the Paper: Design of Fractional Order PID Controller for Induction Motor Speed Control System by Cuckoo Search

 

Authors: C. Thammarat, D. Puangdownreong

Pages: 92-96

Abstract: The non-integer (fractional) order PID (FOPID or PI^(λ)D^(μ)) controller was introduced almost two decades and demonstrated to perform the better responses in comparison with the conventional integer order PID (IOPID). The design of an optimal FOPID controller for induction motor speed control system by the cuckoo search (CS), one of the most efficient metaheuristic optimization search techniques, is presented in this paper. Based on the modern optimization framework, five parameters of the FOPID controller are optimized by the CS to meet the response specifications of the three-phase induction motor (3φ-IM) speed control system defined as particularly constraint functions. Results obtained by the FOPID controller are compared with those obtained by the IOPID designed by the CS. As simulation results, the FOPID can provide superior speed responses to the IOPID, significantly.


Title of the Paper: Interaction between Aliasing and Antialiasing Effects in Differentiating Smooth Band-Unlimited Signals

 

Authors: Vairis Shtrauss

Pages: 85-91

Abstract: We study aliasing and antialiasing effects occurring in discrete-time differentiation of a smooth band-unlimited signal – so-called the Cauchy pulse through evaluation of differentiation errors for low frequency portion (LFP) bellow the Nyquist frequency and high frequency portion (HFP) above the Nyquist frequency produced by type IV linear phase differentiators designed by different methods with varying differentiators’ lengths, sampling and band-limiting frequencies. We demonstrate that differentiation of HFP creates an aliasing error equal to the error of the computed HFP of the derivative, whereas removing HFP causes an algorithm-independent antialiasing error equal to HFP of the exact derivative with minus sign. Both errors are in a balance and determine the common error introduced by the band-unlimitedness. We disclose that regardless sampling frequency the antialiasing error in the differentiation is greater than the aliasing one. The differentiators designed by various methods approximately equally compute HFP with nearly equal aliasing errors having a weak dependence on differentiator length, at the same time, LFPs are differentiated with very wide variation in the accuracy. It is demonstrated that the differentiators with smooth magnitude responses at low frequencies compute considerably more accurate derivatives of LFPs than those having rippled responses.


Title of the Paper: Application of Cuckoo Search to Synthesize Analog Controllers

 

Authors: B. Wongkaew, D. Puangdownreong

Pages: 79-84

Abstract: In modern optimization, the CS was firstly proposed in 2009 to solve both continuous and combinatorial, single-objective and multi-objective optimization problems. It has been accepted and widely applied to solve several real-world engineering problems. In this paper, the CS is conducted to synthesize the analog controllers most commonly used in various control applications, i.e. Lead-Lag compensator, PID controller and PIDA controller. In this work, such the controllers are considered to be realized by analog electronic circuits using only one operational amplifier. The proposed synthesis approach can be determined as one of the constrained optimization problems. As results, it was found that the CS can effectively synthesize Lead-Lag compensator, PID controller, and PIDA controller satisfying to the predefined objective and constrained functions.


Title of the Paper: The Impact of Crisis Situations to the Transport Service of the Territory for the Selected Hospital

 

Authors: P. Viskup, K. Vichova

Pages: 73-78

Abstract: Several cities in the Czech Republic have a traffic problem. We see a growing number of road vehicles, resulting in traffic accidents and traffic accidents. The traffic situation is fundamentally affected by crisis situations. If a crisis occurs - floods, the path is often flooded. An even more significant problem arises when a flooded road separates the city from two islands. It is, therefore, necessary for the city to address this problem. At the time of the crisis, it is essential to plan different routes for evacuation or supply. Before the city decides to make a change in the transport system, it is necessary to make a simulation to determine if the proposed system will be useful and help in the traffic situation of the city. The aim of the paper is to analyse the impact of crisis situations to the transport service of the territory for the selected hospital. In the introduction, there is a literature review of the problem of transport service in times of crisis and simulation traffic service. In the next part, there was analyse the transport operation of the hospital Uherské Hradiště. As a central part of the paper is a case study which solves the traffic situation in the nearest part of the hospital with the critical points of the solution. In the paper, there was used the software PTV Vissim as a first method. The second used method is Digital Flood Plan of the Czech Republic. At the end of the paper, there we can see the results from this software and digital plan.


Title of the Paper: A WSN Clustering Algorithm for Micro-grid

 

Authors: Bin Cai, Bin Wang, Yi Shi, Xiao-Hui Li

Pages: 66-72

Abstract: Considering the practical situation when applying the wireless sensor network to the micro-grid, the unbalanced energy consumption among the nodes will lead to the problem of blind areas, poor monitoring quality and the short lifetime of the monitoring network, an uneven clustering algorithm based on the real-time energy of the nodes for the state and information monitoring network of micro-grid was proposed. In the proposed algorithm, the flag bit and the real time node energy factor were introduced to the calculation of the cluster head competition radius, and the clustering judgment factor was applied to realizing dynamic and unequal clustering of the network. The algorithm balanced the energy consumption by choosing the node with sufficient real-time energy and low communication cost as cluster head. Simulation results show that the proposed algorithm can more efficiently balance the energy consumption, make the death nodes distribute evenly, improve the quality of network monitoring and prolong the network lifetime.


Title of the Paper: Optimal PIDA Controller Design for Three-Tank Liquid-Level Control System with Model Uncertainty by Cuckoo Search

 

Authors: T. Jitwang, A. Nawikavatan, D. Puangdownreong

Pages: 60-65

Abstract: In industrial applications, the three-tank (3-tank) liquid-level control commonly exists under the PID control loop. However, the PIDA could provide better responses than the PID for higher order plant. In this paper, an optimal PIDA controller design for 3-tank liquid-level control system with model uncertainty by cuckoo search (CS) is proposed. The CS, one of the most powerful population-based metaheuristic optimization search techniques, is conducted to optimize the PIDA’s parameters based on modern optimization context. The CS-based PIDA design framework can be considered as the constrained optimization problem. Model uncertainty is occurred due to aging and environmental effects. As results, it was found that the PIDA controller designed by the CS provides the very satisfactory responses of the 3-tank liquid-level controlled system with model uncertainty superior to the PID controller.


Title of the Paper: Grayscale Enhancement of Spiral CT Scan Image of Human Spinal Skeleton

 

Authors: Shufeng Jiang, Fengjuan Wang, Fansong Meng

Pages: 53-59

Abstract: The digitalization of human scanning information is the support technology of modern medical instrument detection and analysis, and the data acquisition and processing of human skeleton is the premise of human information digitization. It is the key link of reverse engineering technology, and also the basis of human skeleton reverse reconstruction. In this paper, the image data of human spine skeleton is obtained by spiral CT scanning, and an effective gray enhancement algorithm is used to enhance the image data of the human spine skeleton, which provides technical support for the later 3D reconstruction. The measurement of human bone surface data refers to mapping its shape information into geometric coordinates or two-dimensional image information of discrete points through specific measurement methods and measuring equipment. Through comparative analysis, we use high accuracy and advanced technology spiral CT scanning to get human spine and skeleton image data. Based on grayscale theory, an efficient algorithm is constructed, which includes histogram equalization, grayscale transformation, smoothing, sharpening and edge detection. The algorithm can effectively enhance the image features from different angles and different methods, so that the bone feature data can be extracted more quickly and accurately in the subsequent 3D modeling process. The results of the algorithm and technology integration show that the processing features of CT image data are compared with other non obvious regions and the image feature data are more accurate. The results show that the gray image enhancement algorithm is more suitable for human tissue image enhancement than other algorithms, and provides better image data processing support for 3D reconstruction of bone model.


Title of the Paper: Project Management Methods in Conditions of Business Companies in the Czech Republic

 

Authors: Pavel Taraba

Pages: 46-52

Abstract: The paper aims to evaluate the application of project management methods in conditions of business companies in the Czech Republic. In the introduction part, project management competencies and selected methods based on an analysis of available information resources are defined. The separate parts of this article are dedicated to the project management software using in the project management. The main theoretical background of the paper is based on documents Individual Competence Baseline ICB version 4.0 and PMBOK® Guide 6th Edition. With the use of a questionnaire survey, the level of application of project management methods in conditions of business companies in the Czech Republic was evaluated. The questionnaire survey was conducted in four stages; the first carried out in 2015, the second in 2016, the third in 2017 and the final stage in 2018. Two research questions were formulated. 1) Are the methods of project management applied in most of the surveyed companies at a “very high” or at a “high” level? 2) Is it possible to observe a growing trend in the application of project management methods in the period 2015-2018 in the surveyed companies? Based on a comparison of the results of the individual analyses, it is possible to describe the development of the application of the project management methods over the past four years.


Title of the Paper: An Improved Solution for Multimedia Traffic in NIDS based on Elitist Strategy

 

Authors: Xu Zhao, Jin Jiang, Reza Mousoli

Pages: 40-45

Abstract: Omission is inevitable, when the network traffic exceeds the load capacity of Network Intrusion Detection System (NIDS). In this case, dangerous packets should be given priority to processing. Since the large proportion of multimedia packets in traffic, the multithreading solution for multimedia packets has been proposed in NIDS. However, due to the use of roulette wheel selection, there is a possibility that the multimedia packets with high danger coefficient will be missed during the selection process. In this paper, the selection operator is improved by the elitist strategy, and new processing steps in the solution is proposed. When omission occurs, this improved model can choose more dangerous multimedia packets for processing within the maximum processing capacity of different threads. Experimental results indicate that this model can help NIDS to improve its detection rate for dangerous multimedia packets effectively.


Title of the Paper: Optimal Design of Two-Degree-of-Freedom PIDA Controllers for Liquid-Level System by Bat-Inspired Algorithm

 

Authors: K. Lurang, C. Thammarat, S. Hlangnamthip, D. Puangdownreong

Pages: 34-39

Abstract: Regarding to control theory, the degree of freedom of a control system is defined by the number of control loops that can be adjusted independently. Traditionally, the one-degree-of-freedom (1DOF) control system has been widely conducted due to ease of use and simple realization. However, the design of control system depends on two main purposes, i.e. command-tracking and disturbance-rejecting. Two-degree-of-freedom (2DOF) control system has advantages over 1DOF for this scheme. In this paper, an optimal design of 2DOF-PIDA controllers for the liquid-level system by the bat-inspired algorithm (BA) is proposed. With BA-based, reponses of controlled system by the 2DOF-PIDA controllers are compared to those by the 1DOF-PIDA. As results, the 1DOF-PIDA and 2DOF-PIDA controllers can be optimally designed by the BA. Results show that, with 2DOF-PIDA control structure, the commandtracking and disturbance-regulating responses of the liquid-level system can be controlled effectively and independently.


Title of the Paper: Bulk Acoustic Resonator Devices using ZnO-Based Film and Back Cavity

 

Authors: Xin Li, Mengwei Liu, Yanlu Feng

Pages: 28-33

Abstract: The purpose of this study was to investigate bulk acoustic resonator (FBAR) devices using ZnO-based film and back cavity. A Mason equivalent circuit model was adopted to simulate the impedance characteristics of FBAR devices. The influence of piezoelectric material thickness, electrode thickness, and resonance area on the impedance characteristics of FBAR devices was analyzed. Structural parameters of the FBAR devices were designed, and bulk silicon micromachining was applied to fabricate Al/ZnO/Al-based FBAR devices with a back cavity. X-ray diffraction analysis shows that ZnO piezoelectric films have a highly preferred c-axis orientation. The frequency response of longitudinal wave FBAR devices has been measured by an RF network analyzer, and the results indicate the series resonant frequency and parallel resonant frequency of the fabricated FBAR devices determined to be 1.546 GHz and 1.590 GHz, respectively, which are close to the simulated results. According to the measured results, the effective electromechanical coupling coefficient and the quality factor have been calculated to be 6.83% and 350, respectively. The findings of this study may serve as reference for the development of FBAR devices.


Title of the Paper: Improvement the Post-Processing Quality in Lock-in Thermography

 

Authors: Anna V. Stoynova, Borislav B. Bonev

Pages: 20-27

Abstract: Active thermography is widely used method for non-destructive testing. In contrast to passive thermography, in active thermography using of raw data post-processing is necessary in all cases, especially in lock-in thermography. In lock-in thermography, defects cause thermal wave phase difference between defect and sound area. Aim of the post-processing is to calculate phases correctly for each pixel from raw thermogram sequence. Typically, the processing is performed on a part of the thermogram sequence and the question arises as to how to select this part. Depending on the used part of the thermogram sequence for the post-processing, the searched defects in some cases cannot be detected despite the sufficient phase difference between the defect and sound area for their detection is present. The aim of this study is to investigate the impact of this and other factors on the quality of the post-processing (evaluated with phasegram quality) and to define an algorithm for improving the quality of the post-processing. Modelling and real thermographic measurements were used to investigate this influence. The results from modelling and from real lock-in thermography measurements shows that by using of the proposed methods can be avoided decreasing of defects detectability caused by post-processing. It is proposed algorithm including proposed methods for contrast increasing. The problems associated with phasegram sharpness and phasegram pixel saturation are presented.


Title of the Paper: Research and Optimization of OpenStack Virtual Machine Resource Scheduling Technology

 

Authors: Jun Zhao

Pages: 13-19

Abstract: Cloud computing is a new business model of information technology. It services clients with the visualized hardware infrastructure resources in dynamic and flexible ways. The suppliers increase the input for infrastructure because of the high popularity of the service, leading to increased energy consumption and carbon emission. To reduce energy consumption and improve resource utilization rate, it is urgent to select proper physical resource distribution and virtual machine dispatching means. This study analyzed OpenStack cloud platform, proposed multi-objective ant colony optimization algorithm for multi-objective optimization issue and redesigned the resource scheduling model of server to efficiently satisfy user requirements. Moreover other algorithms including first fit algorithm, least residue algorithm and conventional ant colony algorithm were simulated. The experimental parameter conditions included 100 physical nodes, a physical host (CPU computing power array: (1000, 1500, 2000); internal storage: 4 GB; storage: 1 TB; bandwidth: 1 Gpbs), 200 virtual machines (CPU computing array: (200,400,600,800), computer frequency: (0.2GHz, 0.4GHz, 0.6GHz, 0.8GHz); internal storage: 1GB; storage: 400 GB; bandwidth: 250 Mbps), 150 ~ 200 W power consumption, and concurrent execution of 200 tasks. The four algorithms were simulated under the above conditions. The service level agreement (SLA) violation rate, resource balance and placement superiority of the four algorithms were analyzed. It was found that first fit algorithm was moderate in service quality and energy consumption, but the randomness was high; least residue algorithm was excellent in service quality, but the energy consumption was high; the conventional ant colony algorithm and the improved ant colony algorithm had excellent service quality and low energy consumption. The analysis of the placement superiority of the four algorithms suggested that multi-objective ant colony optimization algorithm had good balance in service quality and energy consumption. In conclusion, the proposed multi-objective ant colony optimization algorithm can reduce energy consumption on the premise of ensuring service quality.


Title of the Paper: Automated Control System Design with Model-based Commissioning

 

Authors: Jiri Koziorek, Antonin Gavlas, Jaromir Konecny, Martin Mikolajek, Radim Kraut, Petr Walder

Pages: 6-12

Abstract: A process of industrial control system design contains a set of steps. The result of the design process is significantly influenced by quality of execution of each step. An important phase of the design is a testing on different level of the design. The testing process influences a commissioning of the control system which follows the design process. The article describes innovative approach of automated control system design and analyses the possibilities of model based testing and commissioning. Both, the automated control system design and model based commissioning increase efficiency and quality of engineering process and of the designed control system. The model based commission is very close to digital twin approach which is one of important trends in automation.


Title of the Paper: An Improved Algorithm for the Optimization and Adjustment of Urban Rail Transport Operation Order

 

Authors: G. M. Ma, J. W. Yan

Pages: 1-5

Abstract: Urban rail transport is an important traffic means; hence the adjustment of urban rail transport operation order is a quite important part. The network density is restrained due to the large construction cost of rail transport. Moreover the disturbance of random factors leads to the actual operation deviation of rail transport. To optimize the operation order of rail transport, this study optimized and adjusted the delay problem of 12 stations (from Liuyuan station to Anshan road station) along subway line 1 in Tianjin, with the improved genetic algorithm and investigated the feeder bus routes based on the balance of passenger flow volume. The research results demonstrated that the average value of population genetics and the variation of objective function became smaller with the increase of iterations and tended to be stable after 15 times of iterations; the corresponding delay gradually relieved as the train passed more and more stations and disappeared after passing the 12th station; the convergence of the improved genetic algorithm used in the optimization of feeder bus network tended to be stable with the increase of iteration number. 4364.74 s was consumed to obtain the optimal solution, and the proportion of penalty cost was acceptable. Hence it is concluded that the improved genetic algorithm can help optimize the order of urban rail transport.