bluuebunny/crossref_metadata_2025 huggingface dataset:
Study on Coordinated Control of Traffic Signal for Adjacent Intersections
Authors: Gu Yuan Li , Shao Chun Fu
Published: January 2012

Optimization of phase offset for adjacent intersections is the key parameter regarding coordinated control of traffic signal for adjacent intersections, which decides the effect of the coordinated control for adjacent intersections. According to characters of saturated traffic flow of Chinese urban road, this thesis establishes a model for optimization of phase offset for adjacent interactions and finds a solution from such model by adopting genetic algorithm. The model is verified by actual traffic flow datum of two adjacent signal intersections on Changan Avenue. Then a comparison is made between the optimization result of such model and that of the existing mathematical method and SYNCHRO model, which indicates that the model established by this thesis can reduce the delay suffered by vehicles at the intersections and increase the traffic efficiency of the intersections.
Study on the Application of Multi-Frequency Error Test
Authors: He Xiao Jun , Tian Xiao Ping , Dai Bo
Published: January 2012

In order to test the characteristics of the telephone line, BER (Bit Error Rate) test is one of the most important aspects. The multi-frequency BER test is achieved using FPGA (Field Programmable Gate Array), MCU (Micro Controller Unit) and Modem chip. This design is able to exactly test the telephone line’s bit error whose frequency is between 1.2KHz and 160KHz. repeatedly experiments results show that this method is stable and reliable, and has important application values.
Parallel Decoding Scheme Based on OSD and KNIH Algorithms
Authors: Qiao Guo Lei
Published: January 2012

In this contribution, KNIH algorithm and Ordered Statistic Decoding (OSD) algorithm are investigated, based on which, a novel KNIH-OSD parallel decoding scheme for LDPC codes is proposed. KNIH decoding algorithm processes certain LRPs of a received sequence, while OSD algorithm processes certain MRIPs of a received sequence. If there are too many errors in MRIPs, the OSD algorithm will fail, on the contrary, if there are too many errors in LRPs, the KNIH algorithm will fail. This contribution proposes a parallel decoding scheme based on the complementary characteristic of these two algorithms. Simulation results show that the proposed scheme is feasible and effective. Compared with OSD and KNIH algorithm, the decoding performance is improved.
Integrated Application of HOQ/TRIZ on Micro Force Sensor Design
Authors: Wang Xiu Hong
Published: January 2012

Product competition is depended on the each process success of product designing which contains complicated designing. A good many scholars promotes some design method. But each method applies to one problem in a certain phase of product innovation designing, and contains insufficiency. Therefore the only solution is to integrate all the variety of methods. HOQ (House OF Quality) is a good method which establishes the relationship between user and designer. But it can’t solve conflict between technology parameters. TRIZ ((Russian Abbreviation:Teorijz Rezhenija Izobretatel skich Zadach is very powerful method to solve the contradictions and obtains innovation. And TRIZ can only gives principle solutions. The paper integrates to use the above methods to design successfully force sensor of testing apparatus for micro-friction. Test shows its dependability and precision of designing project is very high. So reliability and feasibility of integrated technology of HOQ/TRIZ is very strong.
Particle Swarm Clustering-Based Moving Object Segmentation in the H.264 Compressed Domain
Authors: Wang Pei , Wang Jing
Published: January 2012

An approach of the moving object segmentation is proposed in this paper. Firstly the motion fields are extracted from the compressed stream, where the noise and the unreal motion blocks are removed by vector median filter. Then the motion vectors are accumulated by motion estimation, in order to get denser and prominent motion vectors. Finally the moving objects are segmented adaptively by particle swarm clustering algorithm. It is demonstrated by the experimental results that the moving objects in the compressed domain can be segmented effectively.
Multi-Target Tracking and Synergistic Management Based on Radar/ESM
Authors: Wu Wei , Wang Guo Hong , Chen Wei , Chen Zhong Hua
Published: January 2012

A model of airborne radar/ESM synergistic tracking and management is presented. The judgment criterion of radar/ESM measurements used to renew target trajectories is given out. Firstly, the judgment of the radar/ESM measurements used to renew target trajectories changes into the judgment of two-ellipsoid (or ellipse) gates overlapping. Then the problem can be solved using Lagrange multiplier. If the radar or ESM gates overlap, the measurements of radar or ESM can’t be used to renew trajectories. Computer simulation proves the method is reasonable and effective
Digital Information Platform of Employment Based on Cloud Computing
Authors: Li Wei , Lu Jie , Cao Tong Hui , Zhang Su Juan
Published: January 2012

In view of the present situation of employment information platform, this paper analyzes the characteristics and application prospect, and presents a digital employment information platform based on cloud computing (DEIPBC2). It puts forward the architecture and the System Solution of digital employment information platform. This paper discusses the virtualization and the parallel programming model on cloud computing, and realizes the employment information reliable storage and rapid processing.
The Conditional Connectivity of (n,k)-Star Graph
Authors: Lv Ya Li , Xiang Yong Hong
Published: January 2012

Conditional connectivity has been proposed as an important parameter to estimate the fault tolerance of interconnection networks. In this paper, we consider the conditional connectivity of (n, k)-star graph. An (n, k)-star graph with dimension n (n ≥ 4) and order k can be partitioned into n subgraphs,. By utilizing this property, we give and proof the minimal cut-set and the minimal conditional cut-set of S n,k. We hence obtain that the conditional connectivity of (n, k)-star graph S n,k is n+k−3.
Velocity and Attitude Matching of Transfer Alignment by Using H∞ Filter
Authors: Song Li Jun , Cheng Deng Feng , Lu Wei
Published: January 2012

The H∞ filter is adopted in the transfer alignment (TA) which is realized by the Velocity and Attitude Matching, when the disturbances in measurements are complete unknown. The performance of H∞ filter is compared with kalman filter. The simulation results show both that H∞ filter and kalman filter all are effective and kalman filter is more accurate than H∞ filter when system noise and measurement noise are white noise. But H∞ filter is more accurate than kalman filter when system noise and measurement noise are color noise. H∞ filter is an effective estimation method because H∞ filter is more suitable to engineering practice than kalman filter.
Dynamic Controller Based Linear Quadratic Optimal Control for Stabilization of Zero-Voltage-Switching Buck DC/DC Converters
Authors: Shi Ji Ying , Li Chun Ling , Niu Pei Tao , Wang Cheng Shan
Published: January 2012

DC/DC converters are known to exhibit bifurcations and chaos if switching actions are governed by feedback control. A dynamic controller based optimal control method is presented to control the chaos behavior and maximize the conversion efficiency of a zero-voltage-switching (ZVS) buck converter operating in continuous conduction mode (CCM). The simulation results show the effectiveness of the proposed scheme.
GAAA-Based Layout Method of Locating Points for Aero Thin-Walled Structure Automated Riveting
Authors: Li Yuan , Cheng Hui , Zhang Kai Fu
Published: January 2012

Aero Thin-Walled Structure (ATWS) is tending to deformed in automated riveting. Fixture plays an important role in enhancing riveting quality of the ATWS assembly process, and an appropriate layout of locating points can decrease the assembly variation substantially. This paper focused on the layout of locating points for ATWS automated riveting, using Genetic Algorithm and Ants Algorithm (GAAA) to minimize the locating points to decrease riveting variation. Firstly, the scheme of locating points is analyzed, and all potential locating points are represented by leveled matrixes. Secondly, on base of the locating point scheme, information of potential locating points is coded as gene, and the configuration of splint is defined as chromosome; the fitness is also defined according to the Key Characteristic Points (KCPs)’ riveting variation. Thirdly, the genetic and ants manipulations are discussed individually, and the two parts are connected by threshold value of the probability for chromosome in the genetic manipulation. Lastly, a case of aircraft wing panel is studied, and the finite element analysis result proves that the purposed optimizing method can solve the layout of locating point for ATWS automated riveting well.
Using Improved Particle Swarm Optimization to Solve Open Shop Scheduling Problem with Two Criteria
Authors: Ghadim Mohammad Reza Kabarazad , Bahrami Behnam , Bayat Arash
Published: January 2012

The shop-scheduling problem can be simply introduced as a problem of redistribution of resources or a problem of rearrangement of operation orders. Open shop scheduling problems (OSSP) are one of the most time-consuming works in scheduling problems. In other hand Optimization techniques have obtained much attention during the past decades. Particle Swarm Optimization (PSO) and Genetic Algorithm (GA) are the most important methods used to solve optimization problems such as Open Shop Scheduling. In this paper, a hybrid optimization algorithm (IPSO) is proposed to solve Open Shop Scheduling more efficiently and accurately. Most literature referring to OSSP focuses on the optimization of one single objective.This paper offered a mathematic model for OSSP with the goal of minimizing average completion time and the number of late jobs simultaneously. The proposed method was then compared whit the results of the LINGO software and GA. The results of this comparison show that IPSO can achieve better results for the solution in a faster time. Introduction
Performance Evaluation of an Automobile Air Conditioning System Using R134a
Authors: Esen Dilek Ozlem
Published: January 2012

In this paper, a detailed energy and exergy analysis have been dealt with on experimental AAC (Automobile Air Conditioning) system with R134a as working refrigerant. For this aim, an experimental AAC system consisting of a laminated type evaporator, swash plate type compressor, a parallel flow type condenser, TXV(thermostatic expansion valve) and a receiver drier. The performance analysis of separate components of AAC system has been carried out under various compressor speeds and thermal loads. AAC system equipped with increasing compressor speed by three-phase electric motor controlled by frequency converter. Various thermal loads in the range of 1500 and 2850 W were applied to the system by means of electric heaters. The experiments were conducted at the condensing temperatures of 50-60 oC for each thermal load, and at the compressor speeds of 600, 800, 1000, 1200, 1400 rpm for each thermal load-condensing temperature combination. The refrigerant and air temperatures, refrigerant pressures, compressor speed, air velocity passing through the evaporator and thermal load were measured. Effects on system performance of such operational parameters as compressor speed, return air in the evaporator and condensing air temperatures have been experimentally evaluated and by means of energy and exergy analysis.
Comparison between Two Types of Computer for Industrial Ethernet Performance
Authors: Munir Handy Ali , Saad Nordin , Syed Junid Syed Alwee Aljunid , Ahmad Zaidi Ahmad Mujahid , Baharin Muhammad Kamarul
Published: January 2012

Ethernet is now the dominant networking in the home and office environment. Advanced of the network technology and convergence of communications, control and computer enabled the Networked Control System (NCS). Industrial Ethernet (IE) is the applications of IEEE 802.3 standards with requirements of factory equipment and network protocols. The connection based on star topology for the real-time communication between a computer and PLC. Analysis of performance based on data transfer rate, packets speed, packets volume, sum volume (KByte), Central Processing Unit (CPU) usage, percent available Read Access Memory (RAM), available Read Access Memory (RAM) and Packet InterNet Groper (PING) are conducted. It is shown that packets speed and packets volume for two types of the computer is approximately same between computer 1 and computer 2.
Prolonged Standing Strain Index (PSSI): A Proposed Method to Quantify Risk Levels of Standing Jobs in Industrial Workplaces
Authors: Isa Halim , Omar A.R.
Published: January 2012

Industrial occupations such as metal stamping workers, electronics parts assembly operators, automotive industry welders, and lathe operators perform their jobs in standing position for a long period of time. Prolonged standing can contribute to discomfort, and muscle fatigue particularly in the back and legs. This study developed prolonged standing strain index (PSSI) to quantify risk levels due to standing jobs and propose recommendations to minimize the risk levels. Risk factors associated with standing jobs such as working posture, muscles activity, standing duration, holding time, whole-body vibration, and indoor air quality were considered as basis to develop the PSSI. All risk factors are assigned with multipliers, and the PSSI is the product of these multipliers. Based on PSSI, recommendations were proposed, however, extensive studies are required to validate their effectiveness.
Isolated Words Digits Speech Recognition
Authors: Osman Mahmoud Ali , Ali Nasser , Elfandi S. A.
Published: January 2012

This paper implemented a speech recognition program for isolated digit words using a method called the Hidden Markov Model (HMM) for speech modeling. The K-means,Baun-welch algorithms for training and codebook conception and finally the Viterbi decoding algorithm for recognition process. This method uses a statistical approach in characterizing speech. Briefly, speech utterance is fit into a probabilistic framework, which consists of transition of states and observable sequences. The target is to evaluate the probability score of the speech utterance based on a given model, and also to find the best model that gives the highest probability score. Research has shown that the HMM method is superior over conventional template matching methods, and it has already been applied by oversea companies successfully in commercial speech recognition programs. Implementing a LP Cepstrum, Coefficient function, a training function, which creates Hidden Markov Models of specific utterances and a testing function, testing utterances on the models created by the training-function. These functions created in MatLab. The recognized word decision is based on the maximal likehood value. The speech database is TI46 which is downloading from internet.
Design and Implementation of SimulCrypt Synchronization Control Software in DTV Conditional Access System
Authors: Yang Xiu Zhi , Zeng Hua Ping , Chen Jian
Published: January 2012

SimulCrypt Synchronizer is one of the key equipments to make up of DTV Condition Access system. This article is based on Specification of Conditional Access System for Digital Television Broadcasting, It has proposed the methods of reduplicated SCG_ID processing, synchronization of control word and crypto period, as well as circular communication of multi-stream. Moreover, using these methods it has realized SimulCrypt synchronization control System on embedded CPU “Nios II”.
The Expected Discounted Penalty Function under Stochastic Discount Interest Force Driven by Markov Process
Authors: Zhang Chun Ming
Published: January 2012

We investigate the expected discounted penalty function in which the discount interest process is driven by markov process. We obtain the integro-differential equation satisfied by the expected discounted penalty function when interest process is perturbed by standard Wiener process and Poisson-Geometric process. A system of Laplace transforms of the expected discounted penalty function, given the initial environment state, is established from a system of integro-differential equations. One example is given with claim sizes that have exponential distributions.
Research on Disruption Management for Multi-Objective Problem and its Solution by Genetic Algorithm
Authors: Sun Ying , Chen Ting Gui
Published: January 2012

Based on the best producting plan for multi-objective question, making the simulation model by increasing anti-disruption factors,or increasing the cost and the budget through undertaking the research on the inner system and the outer system's disruption .At the same time drawing the most close scheme by using the classical genetic algorithm for multiple-objective problem. The experiment shows that the system of internal and external factors causing the very different results to the allocation, but increasing the allocation costs and the opportunity costs is necessary in the actual operation.
Design and Implementation of 3D Facial Animation Based on MPEG-4
Authors: Yong Jian Hua , Cheng Ping Guang
Published: January 2012

Through the in-depth study of the MPEG-4 face model definition standard and animation-driven principles, learning from the existing generation technology of facial animation, this paper presents a 3D facial animation system design program. This program can accept driver information to generate a realistic facial expression animation and simulate the real face actions. At the same time, in the implementation process it also uses FAP frame with a mask and implementation method of FAP intermediate frame calculation, insert to reduce the amount of animation-driven data, and then improve the continuous effect of facial animation.
A Game Model for Adversarial Classification in Spam Filtering
Authors: Deng Wei , Qu Ze Hui , Ye Li , Qin Zhi Guang
Published: January 2012

With the wide applications of machine learning techniques in spam filtering, malicious adversaries have been increasingly launching attacks against the filtering systems. In this paper, we model the interaction between the data miner and the adversary as Stackelberg games. Though existing algorithms for Stackelberg games efficiently find optimal solutions, they critically assume the follower plays optimally and rationally. Unfortunately, in real-world applications, because of follower's bounded rationality and limited observation of the leader's strategy, it may deviate from their expected optimal response. Considering this crucial problem, this paper solve for the Nash equilibrium. Experiments on real spam dataset demonstrate that bounded rationality and limited observation can make Stackelberg games more practical and provide interesting insights about the interaction between the data miner and the spammer in spam filtering.
Intelligent Transportation Scheduling System Based on Fuzzy Control
Authors: Jiang Jing , Zhang Xue Song
Published: January 2012

In this paper, intelligent control system in the intersection was designed by use of the control principles of green light length. The green light time from four groups were controlled by actual traffic flow, which could be detected by use of inductive sensors to auto-adjust the length of time. Secondly, combined with the traffic scale, road, time and seasonal changes situation, turn-left controller was tried to add in the traffic lights system by use of fuzzy control method at the crossroads. The feasibility of control principles from green light length were verified by debug in the PLC program.
A Resource Finding Mechanism for Network Virtualization Environment
Authors: Li Xiao Ling , Wang Huai Min , Guo Chang Guo , Ding Bo , Li Xiao Yong
Published: January 2012

There are large numbers of infrastructure resources in network virtualization environment (NVE), how to quickly and accurately find the resources that virtual network required is a challenging problem. Pointing to this problem, a resource finding mechanism for network virtualization environment (NVERFM) is proposed. NVERFM is mainly comprised of three modules, virtual resources publishing module (VRPM), virtual resources clustering framework (VRCF), and virtual resources finding module (VRFM). VRPM is responsible for publishing the infrastructure resources to VRCF; and the published information contains functional and non-functional attributes. VRCF is responsible for classifying the published information into different clustering according to the attributes from high priority to low priority. VRFM mainly completes resource finding based on resource similarity principle. Finding the resource clustering that meet the user’s requirements; and then combinatorial auction mechanism is used to help users choose the optimal infrastructure resource. Finally, experiments are used to validate NVERFM, and the results show that NVERFM can not only help users find the optimal resource, but also improve the efficiency.
An Evaluation Model of Highway Alignment Design Based on Game Theory
Authors: He Chu Sheng , Huang Liang
Published: January 2012

In order to ensure quality of highway alignment design, and reasonably evaluate the design proposal, the main factors which affect the highway alignment design, including horizontal alignment design, vertical section design and combination of horizontal and vertical design, are analyzed. Based on these key factors, a system of evaluation based on game theory is constructed and the evaluation index is normalized from both qualitative and quantitative view. So an evaluation model of highway alignment design is established. Under the situation of highway alignment designs, the model and fuzzy comprehensive evaluation method are applied to determine the most suitable alignment design for that city. The best choice, design 3rd, is identical, but the sort of design 2nd and design 4th is not consistent with each other for the reason of large deviation of weight of the fuzzy comprehensive evaluation method. Because the evaluation model based on game theory can better determine the optimal weight, the evaluation is more reliable and it meets the practice. The results show that the model is effective and reliable.
Vibrating Loads Identification Using Inverse Acoustics in Fluid-Structure Interaction
Authors: Manesh M. Kojouri , Hematiyan M. R. , Eghtesad M. , Necsulescu D. S. , Rezazadeh A.
Published: January 2012

In numerous engineering systems it is essential to know the vibrational behavior. Often laser vibrometers are used for vibration measurements. But this point should be considered that method utilization because of complex volume of source of vibration is difficult. To alleviate this problem several other methods were recommended such as Near Field Acoustical Holography and Inverse Numerical Acoustics. Vibrational properties knowledge helps in design, control and reduce undesirable vibration, but direct measurement is difficult and contain significant errors. The aim of this paper is the presentation of an efficient method using acoustics that can obtain vibrational properties by measuring other quantities, like fluid pressure dynamics somewhere near the structure. This procedure is based on inverse analysis that is more intricate than direct analysis.
FFU Motors Remote Monitoring System Based on Power Line Communication and GPRS
Authors: Wang Yi Wang , Zhang Bo , Cao Feng Wen , Pan Hui
Published: January 2012

In view of the advantage of low voltage power line carrier technique and general packet radio service(GPRS), a solution of fan filter unit(FFU) motor remote mointoring system based on GPRS and low voltage power line communication is introduced. This system combines a framework of low voltage power line communication and GPRS network with host computer monitoring center, which changes the traditional FFU motor control mode, and realize FFU motor remote real-time on-line automatic monitoring.The system implementation methods were described in detail, and the hardware and sofware design were given.The test and practice showed that the proposed has higher efficient and stronger anti-interference capability, which met the requirements of networkization and intelligentization, and a better way for the FFU motor control. The designed system has good application value.
Clustering Columns of the Wide-Table in Cloud Computing
Authors: Huang Bin , Peng Yu Xing
Published: January 2012

Various data-centric web applications are becoming the developing trend of information society. Cloud computing currently adopt column-oriented storage wide table to represent the heterogeneous structured data of these applications. The wide table reduces the waste of storage space, but slows down query efficiency. The paper implements the hybrid partition on access frequent (HPAF) to horizontally and vertically partition a wide table. It uses a variant of consistent hashing to dynamically horizontally partition a wide table across multiple storage nodes on each node’s performance; It use entropy to represent the number of reducing access data block from the table with N columns than from N column-oriented storage tables. According to the second law of thermodynamics, the paper designs an entropy increasing clustering algorithm to classify the columns of a wide table. The algorithm finds a cluster with multiple classes which save maximum access time. The paper implements an algorithm for structured query across multiple materialized views too. Lastly the paper demonstrates the query performance and storage efficiency of our strategy compared to single column storage.
Improving the Network Load Balance by Adding an Edge
Authors: Jiang Zhong Yuan , Liang Man Gui
Published: January 2012

Some previously proposed ways of improving the network load balance are reducing the link overload or reducing the node overload. Traffic load of a node or traffic load of a link can be characterized by betweenness of the node or betweenness of the edge respectively. Congestion mainly happens on nodes with maximum betweenness, so one way to improve the network load balance is mainly to minimize the maximum betweenness of node in the network. We present four edge addition strategies to minimize the maximum node betweenness by adding an edge. We do experiments on three benchmark networks to verify the effectiveness of the four edge addition strategies. By analyzing the experimental results, we confirm that adding an edge at the suitable location in the network can significantly minimize the maximum betweenness of node and improve the network load balance. It is very useful to mitigate the heavy burden of the most congested router only by adding one link with small cost without changing the network topology massively. Also, our work is helpful for service providers to optimize their network performance by adding an edge or to make good network planning by optimizing the existing network topology incrementally.
A Hardware/Software Co-Design Flow for Dynamic Partial Reconfiguration
Authors: Feng Xiao Jing , Li Xi , Chao Wang , Zhou Xue Hai , Zhang Jun Neng
Published: January 2012

The strict requirements on both performance and flexibility lead us to apply Dynamic Partial Reconfiguration (DPR) technology in embedded systems. However, existing DPR design flows are still immature, since previous works mainly focus on hardware designs while ignore software designs for DPR. To remedy this weakness, this paper proposes a hardware/software (HW/SW) co-design flow for DPR. The co-design flow aims at accelerating the process of DPR designs, and it merges software and hardware design flows to make them operate in parallel. Besides, in order to validate the effectiveness of our co-design flow, we implement a partial self-reconfigurable prototype system on Xilinx Virtex-5 platform and perform a set of experiments. Experimental results present that the reconfiguration overhead for partial reconfiguration is only 4.66% against global reconfiguration in our prototype. It’s also presented that our prototype can achieve a 23.6 × speedup over software algorithm solutions.
Improvement of LEACH Based on Wireless Communication Model and Ant Colony Algorithm
Authors: Fang Wang Sheng , Zhen Liu
Published: January 2012

Cluster structure is irrational and communication between cluster-head and sink node is single-hop in LEACH (Low-Energy Adaptive Clustering Hierarchy) for wireless sensor network. An improved algorithm based on wireless communication model and ant colony algorithm is proposed to solve these problems. In this paper a formula of clustering cost is proposed on the basis of wireless communication. At the same time, the ant colony algorithm and LEACH are combined to build pheromone in the entire network according to the distance between the neighboring cluster heads and their remaining energy in order to form multi-hop routing between them. Finally, the results of simulation show that the improved algorithm can balance energy consumption of nodes and prolong the lifetime of the whole network.
A Design and Implementation of P2P Network Traffic Identification System
Authors: Ma Xiao Yu , Chen Fei Yan
Published: January 2012

The P2P streaming media technology is popular and promising in recent years, to ensure the correctness of the identification method, and improve the identification rate and accuracy of the network traffic, this paper proposes a identification principle and algorithm of the P2P network traffic, and gives the overall structure of the system, Finally, puts up the system test environment. The experimental results show that the identification method of the network traffic proposed in this paper can effectively improve the identification rate and accuracy of the network traffic, the scheme has the value of further research and promotion.
Construction of Decision Tree Based on Rough Sets Theory
Authors: Lei Zhi Jun , Wu Lin Li
Published: January 2012

In the process of constructing decision trees, the selecting criteria of classification attributes will directly affect the classification results. Here we presented the classification contribution function (CCF), a new concept based on rough sets theory, which is regarded as the criteria for choosing attributes in the core of attributes. The basic idea of CCF is using of discernibility matrix to determine attribute core (if there is no core, using its reduction). Then through the classification contribution function to determine core classification contribution value and employ the big value as node. Next employing the selected attribute ways to divide decision-making system and each value attribute can produce a subset. The experiments show that, being compared with the entropy based C4.5 and weighted mean roughness, our method can get simpler decision tree and improve the efficiency of classification.
Applying Artificial Intelligence to Short-Term Traffic Flow Forecasting
Authors: Huang Hai
Published: January 2012

Short-term traffic flow forecasting has a high requirement for the responding time and accuracy of the forecasting method because the result is directly used for instant traffic inducing. Based on the introduction of the fuzzy neural network model for short-term traffic flow forecasting together with its detailed procedures, this paper adopt the particle swarm optimization algorithm to train the fuzzy neural network. Its global searching and optimization algorithm helps to overcome the shortcomings of the traditional fuzzy neural network, such as its low efficiency and “local optimum”. A case study is also given for the PSO algorithm to train the fuzzy neural network for traffic flow forecasting. The result shows that the average square error is 0.932 when the PSO algorithm is put to use for the network training, which is 3.926 when the PSO is not used. Thus result is more accurate and it requires less time for the training procedures. It proves this method is feasible and efficient.
Clustering Algorithm to Reduce Power Consumptions for Wireless Sensor Networks
Authors: Ahmadi Mohammad , Faraji Hamid , Zohrevand Hossien
Published: January 2012

A sensor network has many sensor nodes with limited energy. One of the important issues in these networks is the increase of the life time of the network. In this article, a clustering algorithm is introduced for wireless sensor networks that considering the parameters of distance and remaining energy of each node in the process of cluster head selection. The introduced algorithm is able to reduce the amount of consumed energy in the network. In this algorithm, the nodes that have more energy and less distance from the base station more probably will become cluster heads. Also, we use algorithm for finding the shortest path between cluster heads and base station. The results of simulation with the help of Matlab software show that the proposed algorithm increase the life time of the network compared with LEACH algorithm.
An Introduction to Spoken English in Colleges and Universities
Authors: Yang Yang , Li Chun Li , Hua Fan
Published: January 2012

The principal objective of Oral English teaching in college is to foster students’ ability of the oral expression and social intercourse. Therefore, the improvement of oral English teaching has been an essential part of college English teaching. College English teachers should put emphasis on oral training and promoting vocabulary accumulation. A Student-centered teaching structure can stimulate expressionism of the youth students and then make oral teaching diversity. This article makes an analysis on college crisis of oral English teaching and put forward five countermeasures for improvement of oral English teaching in college. At the present, the chief problem of English teaching in China lies in mute English which trained people with good scores but low qualities. Students start learning English mostly from their middle or even primary school until they enter into college. However, even more than ten years of study turned people failed to smoothly express in English. The reason is that teachers excessively focus on skills for examination and language itself, and take no account of the training of oral ability. In view of the penetrating knowledge on language intercommunication home and abroad, oral English training has becoming a crucial and constituent part of English teaching in college.
Study on Dynamic Bandwidth Allocation Algorithms Based on EPON
Authors: Peng Zhi Wen , Radcliffe P J
Published: January 2012

The use of EPON for network allocation is gradually becoming the main stream for broadband network. This technology makes full use of the features of optical network and passive optical splitter to reduce equipment costs, operation and maintenance costs for network operators and to provide faster and more stable broadband network for users. The article introduces the working principle of EPON, establishes EPON system based on OPNET technology, analyzes the current bandwidth allocation algorithm, and proposes improvement to the algorithm. Experimental emulation finds that the new algorithm can provide good QOS service and is greatly improved in the aspects of packet delay, average queue and bandwidth utilization rate.
Research on the Basic Features of Marxism in China
Authors: Pan Shun Zhao
Published: January 2012

At present, when researches in many fields of Marxism in China have made great achievements, it highlights the importance of "returning" to research the basic features of Marxism in China. In this paper, the basic features of Marxism in China are the object of study, discussed from three aspects. First, it describes the connotations of a few basic concepts in the study of Marxism in China. It mainly includes the connotation and characteristics of “feature”, the connotation of "Marxism in China", and the definition of "basic features of Marxism in China", etc. Then it discusses the significance of researching the basic features of Marxism in China. Finally, it expands the discussion of the external basic features of Marxism in China and its role in the formation of Marxism in China.
Study on the Education of Socialist Rule of Law in University Political Theory Course
Authors: Yang Ke
Published: January 2012

The idea of socialist rule of law is becoming weak in the minds of university students due to influence of social factors, educational factors and inherent factors of the students. The cultivation of the idea of socialist rule of law among university students has concern with the implementation of the strategy of ruling the nation by law, establishment of a socialist harmonious society and overall development of students. Subject to the special identity of university students, we shall enhance rule by law in universities, improve the legal qualification of counselors, enhance education and teaching of law and thus cultivate the idea of socialist rule of law. One important task of ideological and political education in colleges and universities is to cultivate the idea of socialist rule of law among students. This is “an important decision made by the Party central committee with Mr. Hu Jintao as the General Secretary with overall consideration of the undertaking of socialist modernization guided by Marxist law theory on the basis of domestic practical experience of establishment of rule by law and world legal civilization outcomes”[1]. It is imperative to cultivate the idea of socialist rule of law among university students.
The Introduction of Civilization on Socialist System
Authors: Liu De Fu
Published: January 2012

The socialist system of civilization is the essence of the socialist system with a "gene", which has fundamentally overcome the defects of the capitalist system, economic system, political system and ideology, with the obvious advantages. We should promote the civilization of the continuous development of the socialist system among civilizations rising, continuously highlight the advantages of the socialist system and won the comparative advantages of capitalism.
Research on Selective Forwarding Attack Detection Scheme in Wireless Sensor Networks
Authors: Wang Ying , Li Guo Rui
Published: January 2012

Selective forwarding attacks in wireless sensor networks may corrupt some mission critical applications such as military surveillance and critical facilities monitoring. They are very difficult to be detected and distinguished from normal packet drops in wireless sensor networks. We propose an improved sequential mesh test based detection scheme in this paper. The scheme extracts a small quantity of samples to run the test, instead of regulating the total times of test in advance. We show through experiments that our scheme can provide higher detection accurate rate and lower false alarm rate than the existing detection schemes. Meanwhile, less communication and computation power are required to detect the selective forwarding attacks.
fMRI Data Analysis with Dynamic Causal Modeling and Bayesian Networks
Authors: Mane T.N. , Nagori M.B. , Agrawal S.A.
Published: January 2012

Brain, an amazing organ of human body comprises electrical signal that can be helpful for interaction between various brain regions. Functional Magnetic resonance Imaging (fMRI) is a specialized type of Magnetic Resonance Imaging scan. Though nature of fMRI data posses various challenges in the analysis. But, even after all challenges too, it is used as an effective method to diagnose various disease and the relationships between various brain regions. In this paper, we have proposed a model that will result a better fMRI data analysis. The effective interactions among the brain regions can be explored using dynamic causal modeling (DCM) that will help us to understand the functionality of brain up to some extent. Bayesian networks can be used for causal discovery purpose in support with markov blanket which can be evaluated with the help of evaluation metrics.
Using Color Sequences for Cartoon Image Retrieval
Authors: Su Ching Hung , Lin Chiun Hsiun , Huang Hsuan Shu , Fan Kuo Chin
Published: January 2012

We propose a practical cartoon image retrieval scheme to retrieve cartoon images efficiently. The proposed scheme transfers each cartoon image to a color sequence using straightforward 8 rules. Subsequently, using the color sequences to compare the cartoon images, namely color sequences comparison. We succeed in transferring the cartoon image retrieval problem to sequences comparison. Thus the computational complexity is decreased obviously. Our system keeps both advantages of the content based cartoon image retrieval system (similarity-based retrieval) and a text based cartoon image retrieval system (very rapid and mature).
Character Pattern Recognition Algorithm Based on Principal Component Analysis
Authors: Tang Feng Xian
Published: January 2012

With the help of the study on mathematical theory and its progress and the development of the computer techniques, digital image processing technology has more and more been applied in each field. The pattern recognition judges unknown things by substituting machine for human eyes, which has a high application value. Thus, it becomes the major branch in image processing fields. The character recognition technology has developed rapidly because of its broad application prospect. Until now, it has been applied successfully in OCR and vehicle license plate recognition. However, it has certain difficulty for the pattern recognition to meet the specific requirements related to specific work scenes. This essay discusses several Eigen value selecting approaches and analyzes the advantages and disadvantages of each. For the template matching methods with penalty factors, in design, character recognition algorithm based on the principal component analysis is realized where scattering matrix between classes is as produced matrix.
Analysis on the Current Constraints and Countermeasures of Chinese Citizen’s Political Participation
Authors: Wang Yong Feng
Published: January 2012

Citizen widely and orderly participating in social and political life is the inevitable requirement of socialist democracy. And it is also one of the conditions of political development toward the track of modernization and democratization. China is in the initial stage of socialism, there are still many constraints in the political participation of citizens. Regarding this problem, we should view from political, economic, and cultural perspective etc. Only in this way, we can help expand the political participation of Chinese citizen, really promoting the construction of democratic politics.
Recognition of Hand Written Kannada Numerals Using K-Medoids
Authors: Mamatha H.R. , Srikanta Murthy K. , Veeksha A.V. , Priyanka S. Vokuda , Lakshmi M.
Published: January 2012

Data Clustering is considered as an interesting approach for finding similarities in data and putting similar data into groups. Clustering partitions a data set into several groups such that the similarity within a group is larger than that among groups. This paper explores the cluster-based classification scheme in the context of recognition of handwritten Kannada numerals. In this paper, K-Medoids clustering algorithm is being used for the classification. The features used for the classification are obtained from the directional chain code information of the contour points of the numerals. The proposed algorithm is experimented on nearly 1000 samples of handwritten Kannada numerals and obtained 97% of recognition accuracy.
Overlapped Distribution Based Efficient Particle Filter Calculation
Authors: Yang Yang , Tian Guo Hui , Liu Yun Xia
Published: January 2012

Particle filter is a powerful tool for video tracking however its large amount of calculation restricts its application especially when the number of particles is large. This paper analysis the distribution of the particles, and the finite additive feature in the weighting calculation of the particles. Then this paper proposed a method which utilized the overlapped particles thus up to 81.22% time consumed is reduced in computation. Experimental results show its validity.
Based on Fractal Theory of Insulator Leakage Current Data Compression
Authors: Zhai Xue Ming , Zhang Pan , Zhao Li Na
Published: January 2012

Insulator leakage current has very large amount of data, so that increased the burden of data storage and system’s transmission. In order to solve this problem, first, analysis the data with wavelet transform, and then using Fractal Interpolation and Collage Theorem to compress and recovery the data. Signal can be well restored with very little data. The results show that, using wavelet transform and fractal interpolation method to compress data, large amount of data can be reduced during transmission, not only reduces hardware requirements, but also improve the compression efficiency.
Research on High-Speed Data Gathering System Based on Ethernet Powerlink
Authors: Jia Qiong , Zhang Gen Hua , Lai Jian Yong
Published: January 2012

To deal with the large amount of data and high propagation delay within long distance, a high speed data gathering system based on Ethernet Powerlink is implemented in the paper. With FPGA and FIFO algorithm, the hardware and software design is presented in details. The design has realized high-speed data cached and accessed synchronously. Experiments and simulation results indicate that the system has a higher communication performance and compatibility.
Reflection about Popular Culture in the Context of Visual Communication
Authors: Ye Hu , Chai Xin Rong
Published: January 2012

Taking popular culture in the context of visual communication as its research objectives, this article mainly analyses the visual hegemony of popular culture and the plight of paper-reading from the perspective of a reflective angle of view under the visual shift of popular culture. It reveals that the visual shift of popular culture causes the plight of paper-reading and has adverse affect on human thinking and traditional cultural heritage. Meanwhile, human are always be "monitored" and the privacy can not be protected. And the willing to be “monitored” and adopt privacy becomes the means for individual or group to get benefit.
The Primary Productivity of Algae Plant of Ebinur Lake - Based on CBERS-2 Image Remote Sensing Research
Authors: Hou Min , Chen Shu Jiang , Huang Tie Cheng , Gao Jun Feng , Tang Shuang , Guo Yuan Ping , Zhou Min , Shi Zhen Xia
Published: January 2012

This paper use the technology to process satellite image, combined with sampling and analysis, to establish the mathematical relationship model between the algal primary productivity of Ebinur Lake with the spectral information of satellite imagery, inversion of algae plant primary productivity, then get the conclusion: Based on satellite image processing technology to study the algae plant primary productivity, measured during the growth of algae plant in the total primary productivity of 99.5 t; CBERS-2 was been found that is fit for measure the primary productivity of algae plant Ebinur Lake, the characteristic of the Green band is the accuracy band; the optimal inversion model is B = 3.945-0.033G-0.005 (GR) +0.128 (G / B).
Gurbantunggut Desert Haloxylon Forest NDVI Time Effect - Based on Phenological Changes and the Image of MODIS
Authors: Huang Tie Cheng , Chen Shu Jiang , Hou Min , Shi Ge Li , Shi Zhen Xia , Zhou Min , Chen Tian Le , Peng Jia Ming , Luo Xiao Qin
Published: January 2012

Remote sensing image information extraction research is one of the key problems of remote sensing research, it is also one of the hot and difficult points in remote sensing research., In this paper,NDVI images for the study of synthesis of haloxylon ammdendron forest 16 days of MODIS is taken as research object, aimed at improving the precision of information extraction, focuses on the NDVI time effects on phenology of haloxylon ammdendron woodland response, tell woodland diagnosis point of information, using diagnostic points of haloxylon forest information analysis and extraction of results and field visits, mutatis mutandis, the results showed information extraction accuracy has improved.