bluuebunny/crossref_metadata_2025 huggingface dataset:
Study on Triple-Antenna KINRTK Problem Using BDS Signal
Authors: Xiang Cai Bing , Bian Shao Feng , Wu Ze Min
Published: June 2014

Traditional kinematic baseline resolution usually needs one or more fixed reference station. In some special application, the reference stations could be in motion. In order to determine kinematic baselines in scenarios of moving reference stations and rovers, a KINRTK model is studied by using a baseline length constraint with three antenna configuration. The baseline and integer resolution method are given. A KINRTK experiment is done, using the data collected on ship enroute, the resolved baselines lengths are compared with the predetermined baselines, which show that the KINREK models baseline length errors are within 5cm, which can verify the effectiveness and accuracy of the model proposed and ambiguity resolution method.
Simulation Research of a Soft Power Bi-Directional DC-DC Converter
Authors: Zhang Yu , Li Ji Dong
Published: June 2014

A type of BUCK/BOOST bi-directional DC-DC topology for high power occasions was presented based on the main circuit topology shortcomings of conventional BUCK/BOOST bidirectional DC-DC converter by increasing the inductance, capacitance, diode auxiliary circuits, the work process of the main circuit BUCK BOOST in the simulation state was analyzed. Select multiple sets of parameters on simulation, observe the waveform ON and OFF of main power device to determine the appropriate auxiliary circuit parameter set. The results show that: The topology suppresses large current peak of the main power device and improve the reliability.
RFID Middleware Research for Enterprise Production Information Integration
Authors: Ren Nai Fei , Xu Wei , Li Yang
Published: June 2014

To improve the management of production site, a RFID middleware was designed to process production information. This middleware is based on Savant architecture. It contains three modules: reader adapters, data processing and API. Compatible with various readers, the middleware can send demanded data to upper application, connect RFID device to collect data, and is easy to develop and extend. Besides, a filter algorithm and a grouping algorithm were designed for processing data.
Research on MAC Protocol for Wireless Sensor Network
Authors: Mao Yong Ming , Kan Feng Long , Zhang Dong Wei
Published: June 2014

The MAC layer protocol for wireless sensor networks has reached a goal of the low-power and low-latency. Existing protocols using periodic sleep mechanism achieve energy efficiency, but the low duty cycle will bring considerable transmission delay, and the delay will accumulate at each hop. This paper presents a wake protocol one by one (Weak up One by One MAC, WOO-MAC), the introduction of an arbitration has been an active device (Mediation Device, MD) as the basis of managers, the agreement for the use of sleep mechanisms exists data forward interrupt and control overhead or other issues, using the method of MD waking each node and reducing the energy, accumulating delay will be decreased based on saving energy.
WSN Coverage Enhancement Algorithm Based on Particle Swarm Optimization
Authors: Wang Jian Xia , Li Xiang
Published: June 2014

For the optimization of WSN coverage, this paper proposes a coverage optimization approach: Adaptive Disturbance Chaotic Particle Swarm Optimization, referred as ADCPSO. Based on the effective coverage of the network as the optimization goal, the method first conducts adaptive operation on the particles. Introducing perturbations factor and making particles trapped into local optimum quickly jump out, this method then use the randomness and the ergodicity of chaotic motion, to make local fine search. This effectively avoids particles’ “being premature” and improves the accuracy of the algorithm. The simulation results show that the ADCPSO algorithm can get better coverage.
System Fault Sequence Prediction on CRH2 EMU Based on Improved GSP Algorithm
Authors: Liu Xin Yu
Published: June 2014

Nowadays, safety and reliability in a system are becoming more and more important. The prediction on the system's failure sequence has been the focus of research. In this paper GSP algorithm is improved in two aspects, then used for the specific application of high-speed EMU CRH2A systematic fault sequence and received good result that has certain reference value for high-speed train system failure and preventive maintenance.
Reactive Power Optimization Using Multi-Objective Particle Swarm Optimization Algorithm Based on Pareto
Authors: Ai Ying , Su Yi Xin , Zhang Dan Hong , Peng Yao
Published: June 2014

In order to avoid the defect that particle swarm optimization algorithm is easy to trap into local optimal solution, an improved multi-objective particle swarm algorithm based on the Pareto optimal set is proposed to deal with reactive power optimization of power system. Taking the minimum active network loss and voltage offset as objective, index functions of multi-objective reactive power optimization are established. The algorithm uses a group fitness variance judging mechanism to update each particle’s inertia weight so as to enhance their global searching ability, and adopts the elite archiving technology to get a set of Pareto optimal solutions so as to improve the diversity of the solution. Simulation of IEEE 30 bus system demonstrates that the proposed method has fast convergence speed and high optimization accuracy.
Bp Neural Network Optimized by PSO and its Application in Function Approximation
Authors: Li Jun Yi
Published: June 2014

BP network is one of the most popular artificial neural networks because of its special advantage such as simple structure, distributed storage, parallel processing, high fault-tolerance performance, etc. However, with its extensive use in recent years, it is discovered that BP algorithm has the defects on slow convergent speed and easy convergence to a local minimum point. The paper proposes a method of BP Neural Network improved by Particle Swarm Optimization (PSO). The hybrid algorithm can not only avoid local minimum, but also raise the speed of network training and reduce the convergence time.
Implementation about Virtual Experiment for Development of Local Shockwave
Authors: Liu Xue Wei , Luo Kai , Yang Yue Ming , Song Li Min , Jin Jun
Published: June 2014

The virtual experiment for development of local shockwave, which is one of a series of virtual experiment software that have been accomplished based on numerical simulation and modern computer technologies by the authors, was taken as an example, the design principles, modules constitution, developing tools, and experiment courses were introduced. It is of practical significance on how to make use of virtual experiment technology to reform practical teaching and enhance energy efficiency ratio of experimental teaching.
Optimal Recovery of Functions of the Class Hp,p (1≤ p ≤ ∞) in the Unit Circle
Authors: Ovchintsev M. P.
Published: June 2014

In the below work the problem of optimal recovery of functions in Hardy class is covered. Namely, by the values ​​of these functions in a finite number of points lying in the unit circle determined their value at a given point. Coefficients of the linear best approximation method and error of the best method are calculated. The functions are considered with some given weight function.
Segmentation and Iterative Algorithm for Repair of Turbine Blade
Authors: Wu Hai Dong , Gao Jian , Zheng De Tao
Published: June 2014

When remanufacturing complex surface parts, such as twisted turbine blade, it is difficult to obtain an accurate model. A segmentation and iterative surface reconstruction algorithm for repair of twisted turbine blade is described. The algorithm reconstructs the blade surface by segmenting the data points base on design intent and iterating the control points. The continuity of the fitted closed surface is tested byUGand the error of the fitted surface can be verified withImagewareby comparison with three different blades. It shows that the time complexity of the algorithm is reduced greatly, and the error is within the acceptable limits.
Riccari Equation Expansion Approach to Construct Complex Wave Solutions for the Related Schrödinger Equation
Authors: Pan Zhen Huan , Ma Song Hua
Published: June 2014

Starting from the Riccari equation()expansion approach and a linear variable separation approach, some new complex wave solutions with of the related SchrÖdinger (RS) equation,are derived.
Analysis of LED Light Source Energy Consumption for Lighting System Optimized by BP Neural Network Based on Genetic Algorithm
Authors: Wei De Qiang , Chen Hu Cheng , Lu Jun Wei
Published: June 2014

To study influence of LED light source lifetime on electricity consumption, optimization of BP neural network is adopted to establish analysis model of energy consumption for neural network, regarding environmental illumination, LED working face illumination, attenuation rates of LED lifetime as input parameters and PWM as output parameters. Under future lifetime of LED, energy consumption is predicted through the model. Results show BP neural network based on genetic algorithm can calculate energy consumption of LED light source quickly and accuracy of prediction is high. The method can be well used to predict energy consumption of short-time LED.
Research and Implement of an Improved Frame-Slotted ALOHA Anti-Collision Algorithm
Authors: He Li , Liu Gai Ping , Han Chuan Yuan
Published: June 2014

The anti-collision algorithm is the key technology of RFID system. Firstly, this paper studied frame-slotted ALOHA anti-collision algorithm, in order to solve the shortcomings of ALOHA algorithm, an improved anti-collision algorithm is proposed based on grouping mechanism, and it also carried out the simulation experiences using the C# language under the .NET platform. The simulation results indicate that the improved algorithms can increase RFID system throughput.
Fuzzy Adaptive Direct Generalized Predictive Control Algorithm in the Application of AWC Control
Authors: Yin Fang Chen , Ma Geng Sheng , Ji Ya Feng , Yu Jia Xue , Gu De Hao , Zhang Dian Hua
Published: June 2014

Using the characteristics of prediction model, rolling optimization and feedback correction, a AWC system based on generalized predictive control was designed, and its control performance was simulated based on a hot strip continuous mill. The results show that generalized predictive controller achieves better control effects than the normal PID on response time and steady precision with matching model; when model mismatching is caused by inaccuracy of plastic coefficient and pure delay time, the normal PID is overshot or even oscillation, but the control performance of the generalized predictive controller is not influenced by model parameter variations .
Switching Control for a Class of Discrete-Time Switched Fuzzy Systems Based on LMI
Authors: Yang Hong , Lü Huan Huan , Zhang Le
Published: June 2014

Switching control and stability issues for discrete-time switched systems whose subsystems are all discrete-time fuzzy systems are studied and new results derived. Innovated representation models for switched fuzzy systems are proposed. The common Lyapunov function method has been adopted to study the stability of this class of switched fuzzy systems. Sufficient conditions for asymptotic stability are presented. The main conditions are given in form of linear matrix inequalities (LMIs), which are easily solvable. The elaborated illustrative examples and the respective simulation experiments demonstrate the effectiveness of the proposed method.
Design and Implementation of Wireless Lighting Nodes Based on JN5168
Authors: Pan Feng , Yang Qi Hua
Published: June 2014

In this paper, the method for NXP's JN5168 wireless microcontroller chip to create a wireless lighting network is first introduced. Meanwhile, this paper will show the JenNet-IP technology features, wireless networking and network flow. After that, this article will discuss the design of wireless communication nodes using JN5168, as well as the wireless communication network focused on LED lighting control. The advantages of JenNet-IP technology against ZigBee will also be represented in this paper.
PC Interface Design for Wave Energy Power Generation Remote Monitoring System
Authors: Kuang Xing Hong , Wang Zhi Yu , Yao Zhe Yi
Published: June 2014

Based on the remote monitoring and data processing technology, communication technology, control technology, designed a personal computer interface for the wave power generation remote monitoring and controlling system, through the GPRS and CDMA communication, designed the programmer under the Visual Basic 6.0 development environment. This communication interface can realize the communication and data processing, and achieved good effect, and save the investment.
The RDC Clamped Circuit Research on the High-Speed Flat Sewing Machine
Authors: Hu Yan Su , Gao Ang , Mu De Jun
Published: June 2014

The high-speed Flat Sewing Machine is the most widely used macaronis full-automation Sewing Machine. The sewing tasks are intermittent which leads to a frequent actuation and long operating time of the magnetic valve. It puts higher requirements on the magnetic valve. Based on this problem, this paper adopt the RDC Clamped Circuit to reduce the turn-off loss and suppress the drain voltage of MOSFET rising. First analyze the turn-off loss of RDC circuit and the PWM characteristics, and then deduce the relationship between the parameters of RDC circuit and the controller by theoretical calculation. Finally, the experiments prove the validity and effectiveness of the method, and also offer a theoretical foundation for the practical engineering application.
Research of the On-Line Capacitor Measurement and Protection Device Based on STM32
Authors: Gong Mao Fa , Qiu Feng , Song Kai Li
Published: June 2014

It has great significance for the capacitor reactive power compensation device to improve the quality of the power system voltage and reduce the line loss. This paper proposes a reactive power compensation measurement and control device scheme that integrates reactive power compensation with microcomputer protection function, it also can cover the shortage of the microcomputer relay protection of parallel capacitor reactive power compensation system, the whole system is linked by the RS485 bus. The paper mainly introduces the hardware design around the STM32 series micro controller. And then introduce the design of the software on main programming algorithm of parameter measurement, communication protocol and capacitor protection configuration and the criterion of the major programming algorithm.
Anti-Collision Control Research on Ocean Drilling Platform Drill String Automated Processing
Authors: Jiang Zheng Qing
Published: June 2014

In recent years, drill string automated processing system on ocean drilling platform has got more and more use in oil drilling platform. It improves the work efficiency and reduces the workers’ labor intensity. In the whole drill automated processing system, lots of large mechanical equipment move in limited space and there exists overlap in the motion trajectory between equipment, which brings hidden danger to safety production. In this article we design an anti-collision prediction system based on perimeter detection and path analysis and it avoids safety accidents that result from the sensors’ failures, occasional researchers or equipment.
Design of Inverter Communication Network Query Engine
Authors: Cheng Feng Min
Published: June 2014

According to the communication mode between different series of inverter and different series of PLC, the database model of communication protocols and parameters is built; then query application software is developed for the establishment, modification and searching the inverter communication network configuration. It is built with VC++ as the foreground, SQL Server as the background database support. The main function modules include communication parameter management module, communication program information management module and information query module. Results show that it can quickly provide communication scheme between the commonly used inverter and PLC for the industrial site and technical personnel.
An Improved DMOC Method with Gradient Penalty Term
Authors: Gao Lei , Ding Jie Yu
Published: June 2014

An efficient method aimed at smooth and stable control forces for optimal control problem is described. Based on the native discrete mechanics and optimal control (DMOC) method, which focus mainly on the minimization of the total control forces, a gradient penalty term is introduced to cost functional to smooth the control forces. Then vibration of control forces is overcome by limiting the total gradient of the discrete control forces. With suitable discrete cost functional and constraints, the continuous optimal control problem is transformed to an equally finite dimensional form, which can be easily solved by standard algorithms. Finally, the numerical example of orbit transferring shows the effectiveness of the improved method.
Uncertainty Estimation Method for Windspeed Random Fluctuation Based on it’s Amplitude Modulation Effect
Authors: Wan Jie , Zhao Zhi Gang , Ren Guo Rui , Qiao Cheng Cheng , Lei Cheng Rui , Liu Jin Fu , Wei Song Lin , Yu Da Ren
Published: June 2014

At present, with the development of wind’s energy application and disaster prevention, the windspeed uncertainty must be estimated because of the existing large gap between the requirement of prediction performance and current techniques owing to it’s strong random fluctuation. In this paper, a new method for windspeed uncertainty estimation is proposed on the base of physical mechanism, the inherent amplitude modulation effect in windspeed. According to the the atmosphere motion power spectrum in low-layers, the actual windspeed is usually decomposed into the hourly average windspeed and the turbulent residual error by many researchers. And the turbulent residual error and the turbulent standard deviation is modulated by the hourly average windspeed. Moreover experiments further show that the confidence interval of windspeed random fluctuation uncertainty based on it’s amplitude modulation effect is more rigorous than that obtained by general statistical model. As a result, this uncertainty estimation method has certain physical academic meaning and engineering application value both in the electric system and the other wind domain.
Research on the Influence of Temperature and Illumination Strength to Photovoltaic Generation System
Authors: Li Ke , Zhao De An
Published: June 2014

In order to explore the influence of temperature and illumination strength to photovoltaic cells, we establish the photovoltaic (PV) generation system which contains PV array, boost converter, maximum power point tracking (MPPT) and so on. By changing of the illumination strength and temperature according to the actual environment, we simulate the PV generation system under the MATLAB 7 simulation environment, and the results indicate that the stronger of illumination strength and the higher of temperature, the better output characteristics of the system and the higher of the generation efficiency.
Simulation on Ground Temperature Change of GSHP System in Severe Cold Regions
Authors: Bai Li , Wang Peng Xuan
Published: June 2014

For the case of ground-source heat pump in severe cold regions in winter, the heat transfer situation of the ground and ground heat exchanger was dynamically simulated according to the statistics of a project in Changchun to analysis the change of the ground heat, which provided references for the initial design and operation and management of the ground-coupled heat pump in severe cold regions.
A New Method of Short-Current Limiting
Authors: Xu Hui , Yin Zhong Dong
Published: June 2014

This research proposes a new parallel-type short-circuit current limit adjustment device. A unified power quality control strategy is provided to solve the typical issues of the power system. Meantime，when short-circuit fault occurs in the load side，short-circuit current can be limited to minimal range. The parallel-type short-circuit current limit adjustment device simulation model is established based on PSCAD/EMTDC simulation software. By doing some experiments on the parallel short-circuit current limit adjustment device, the correctness and validity of the proposed main circuit topology and control strategy is validated.
Design and Simulation of Permanent Synchronous Drive Motor for Electric Vehicle
Authors: Qu Chun Yu , Wang Xiu Ping
Published: June 2014

Electric vehicle (EV) is the greatest potential production of new energy vehicles. It plays a very important role in the area of energy conservation and reduction of pollutant emissions. In order to accelerate EV industrialization, the paper proposed a motor design method,which need to combine the automobile theory with the design permanent machine (PM). The paper considered the vehicle’s dynamic parameters, defined the motor’s basic parameters and designed the dimensions of electromagnetic structure, and then analyzed the field of the motor using finite element method (FEM). The paper firstly presents that drive motor’s design should consider two respects: one is the vehicle and another is the drive motor. In view of length of paper, only the no-load field analysis was proposed in this paper. The effectiveness of the proposed method is verified by the analysis results.
On the Possibility of Fractional-Slot Concentrated-Winding Permanent Magnet Machine for Wind Power Generation
Authors: Wang Xiu Ping , Qu Chun Yu
Published: June 2014

In order to obtain the low synchronous speed, fractional slot concentrated winding is adopted in generation system. This paper analyzed the pole/slot combination rule, and studied the electromagnetic design method. By the finite element software, the characteristics is analyzed for this fractional-slot concentrated-winding permanent magnet generator, the result shows that this generator has a good performance, thus yet proves that fractional slot concentrated winding scheme is feasible.
Full-Bridge ZVZCS Converter Design Based on Power System
Authors: Sun Bao Wen
Published: June 2014

It is very common that the power consumption is too high and the efficiency ratio is too low in the field of the current full-bridge ZVZCS Converter, thus a practical circuit topology is designed and its working process is analyzed to solve the problem. The converter lead pipe can achieve a zero voltage turn-on and turn-off by using MOSFET, and a zero current turn-on and turn-off lagging by using IGBT. By analyzing the relevant waveform of the converter, the correctness of the converter designed is verified.
Modeling and Simulation of MPPT Algorithm for PV Grid-Connected System
Authors: Yan Yu Ting , Yang Yang , Yang Jia Quan , Zhang Wen Bin
Published: June 2014

This paper presents an equivalent circuit model of photovoltaic cells, and then discusses the photovoltaic (PV) grid power generation system in the maximum power point tracking (MPPT) control principle of the boost circuit. The MATLAB/Simulink software was used to model and simulate MPPT verification of the system. The simulation results showed the effectiveness of the control Strategy. As a conlusion, potential solution to MPPT The BOOST circuit adopts the MPPT control in photovoltaic power generation system, not only can improve the efficiency of photovoltaic cells, and thus improve the efficiency of the photovoltaic power generation systems.
The Re-Cognition and Direction of Chinese Labor-Intensive Industry
Authors: Sun Bo , Chen Ze Hua
Published: June 2014

Chinese government has decided to treat the adjusting industrial structure as the strategic task to the national economy. In this situation, labor-intensive industry (LII) is ignored in some extent. This ignorance deserves our attention. To rediscover the new meaning of LII, this paper tries to redefine it, and to predict the direction of its upgrade in China. We think that LII can be divided into four parts: traditional LII, LII based on capital, LII based on technology, and advanced LII. The non-traditional meanings of LII are the production processes depending on labors in capital-and technology-intensive industry. We put forward two upgrade directions of LII: the traditional LII will transfer to the non-traditional LII; LII is shifting from the east China to inland. The paper will help us re-cognize the meanings of LII, and review our current policy in the process of adjusting industrial structure.
Experiencing Integrated Management in a Virtual Learning Environment
Authors: Wollmann Dewey , Arns Steiner Maria Teresinha , Steiner Neto Pedro José , Canciglieri Osíris
Published: June 2014

The evolution of knowledge related to Integrated Management (IM) is clearly discernible. The growing complexity of the subject can be seen by the incorporation of new concepts and their increasing interrelationship demanding changes in education specially the relationship between what is taught in Industrial Engineering and Business schools and what is applied in companies. Here we introduce the e-tangram simulator, which seeks to develop conceptual (strategic), technical (operations management) and human skills in business managers. It provides a virtual learning environment that allows experimentation in a company operating in a competitive environment. Once the simulation environment has been defined, students acting as managers can develop their ability to strategically manage a company, combining variables from the external environment and the functional areas of marketing, operations, human resources and finance. To determine the impact of the simulator on learning among undergraduate Industrial Engineering and Business students data were collected from 500 students and analyzed according to The Collective Subject Discourse methodology. The results showed that the activities carried out in the simulation environment were of great help in consolidating technical and conceptual learning among undergraduates; developing human skills, particularly those related to negotiations.
Design of Maize Picker Device
Authors: Lü Xiao Rong , Lü Xiao Lian
Published: June 2014

At present the Maize picker has the large power consumption problem. The paper design a Maize picker device, the device is effective to reduce the power consumption of corn harvest machine work. By the virtual prototyping technology, completed the design of the overall structure of the Maize picker device.
The Study and Realization of Grading Modeling Risk Assessment for Buried Gas Pipeline
Authors: Li Long Jiang , An Jin Yu , Zhou Lan
Published: June 2014

According to the risk assessment conducted on buried gas pipelines,it is found that the number of factors affecting pipeline failure is more than 130 and that it could not reach the requirement by using a model to calculate or evaluate.On the base of the traditional buried gas pipeline fault tree analysis, this paper puts forward a thought of the grading modeling risk assessment,adopting the compensation fuzzy neural network theory . The fault trees minimal cut sets grading modeling helps to establish the mathematical model of compensation fuzzy neural network risk assessment, deduce the model error transformation formula, revise the assessment errors ,and solve the problem of risk assessment of the large buried gas pipelineswhich needs to consider many assessment factors. The practical study demonstrates that the assessment results are objective and the assessment errors are small.
The Impact of Knowledge Management Strategy on Performance in Taiwan's Manufacturing Companies
Authors: Huang Hui Ling , Chen Yue Yang , Fang Wen Hsin
Published: June 2014

Knowledge has been regarded as an important resource for firms to compete in todays competitive environment. Since knowledge and knowledge management are so important for achieving business performance, the knowledge strategies are likely to be a critical issue of strategic choice for the firm. Evidences showed that the implementation of KM strategy can cultivate organizational dynamic capabilities to improve knowledge quality and quantity, as well as for consolidating the value and practicability of knowledge. Thus, this study tries to examine the impact of KM strategy on knowledge management performance as well as business performance. According to the empirical data collected from manufacturing industry in Taiwan, meaningful findings and conclusions will be proposed and discussed.
Research on Enterprises Knowledge Transfer under NPI Model Based on the System Dynamics
Authors: Xu Xue Guo , Shen Di Bo
Published: June 2014

New product introduction(NPI) has became the main cooperation model between multinational and OEM companies, and there is knowledge transfer during the NPI process. First, this paper summarizes the process of enterprise knowledge transfer under NPI model and analyzes the causal relationship. Second, the corresponding system dynamics model is built. At last, the analogue simulation, the analysis of system effectiveness and sensitivity are conducted. Simulation results show that this model fits the process of enterprise knowledge transfer under NPI model and can provide effective decision support for similar knowledge transfer process.
The Effect of Authentic Leadership on Leader Creativity: The Mediating Role of Creative Process Engagement
Authors: Zhao Chen , Gao Zhong Hua
Published: June 2014

Synthesizing theories of leadership, activity engagement theory, and creativity, this research built and tested a theoretical model linking authentic leadership with leader creativity and the mediating effect of leader’s creative process engagement. Using survey data from 400 executives of start-up companies in China, we found that, as anticipated, authentic leadership positively affected leader creativity. Furthermore, the results indicated the partial mediating role of creative process engagement, thereby shed light on the mechanism by which authentic leadership impact leader creativity. These results yielded important implications regarding how to improve managers’ creative performance at work.
Analysis of the Contribution Rate of Technological Progress to the Development of Coal Industry
Authors: Guo Jia , Ding Feng
Published: June 2014

The coal industry is an important energy industry which is relevant with China's economic and social development.The paper collects relevant data of coal industry during 1999-2011 and uses C-D production function to calculate the contribution rate of technological progress to the development of coal industry.The results show that the contribution rate of technological progress to the coal industrial development is 68.36% which is higher than the average level of the contribution rate of technological progress in China.The technological progress can accelerate the coal industrial development in China.The coal enterprises should increase research investment and construct the coal technology innovation system.
The Research on the Characteristics and the Construction of Collaboration Design Platform in Industry Cluster
Authors: Cui Yu , Wang Qing , Guo Huie , Wang Ying , Jiao Hao
Published: June 2014

From the perspective of the synergy effect, the paper discusses how to construct the industry cluster collaboration design platform. As is known, the concept of industry cluster collaboration platform has been paid great attention with the economic growth, which has become a national leading research programs and key research projects in various provinces and cities. Therefore, it is very necessary to build industry cluster collaboration design platform. In this paper, the construction mechanism of industry cluster collaboration design platform is divided into collaborative session, collaborative browsing, collaborative text editing, collaborative tagging and collaborative inquiry. In detail, the policy should adopt the temporal characteristics, including remote synchronous mode, remote asynchronous mode, synchronous model and asynchronous model.
Explore the Underpinning of Applying "System Dynamics" Research in Construction Project Management -A Literature Review from 1998 to 2012
Authors: Gan Tian Ru
Published: June 2014

This paper aims to examine the literatures with regard to the application of system dynamic (SD) in construction project management published from 1998 to 2012 . By using the content analysis method, we divided the concerned literatures into four categories:(1) application in performance; (2)application in analyzing dynamic factors; (3) application in modeling; (4) application in evaluation. Based on the categorical review on the applications of SD in construction project management,we found that SD is an appropriate method for understanding and managing the dynamics and complexity of construction projects from a dynamic and holistic view. However, this research topic are not well developed for the limited literatures and there is still a lot of research work needs to be done. And therefore, the implications for the future research directions were presented and an increasing trend of applying the SD techniques in construction project management research is observed.
Construction Work Tasks Duration: Pessimistic Scenarios Based on PERT Method
Authors: Bolotin Sergey , Dadar Aldin , Ptuhina Irina
Published: June 2014

The article deals with the practices of how to estimate pessimistic scenarios of construction tasks duration which are based on latent regularities of space-time and space-cost analogies. It is presented herein that planned values of tasks duration are sufficient to be used for optimistic scenarios development. But in case of pessimistic duration it is necessary to consider planned durations and starting points of work tasks, as well as such a discount rate which is used to estimate economic efficiency of an investment construction project under study.
High-Tech Manufacturing Enterprises’ Competitive Strategies – The Case of Printed Circuit Board Manufacturing in Taiwan
Authors: Lin Yi Chuan , Yu Bin , Tsai Sang Bing
Published: June 2014

In such competitive industry environment, if the companies will obtain continuous profits, they must surpass their competitors and enhance their enterprise competitiveness in order to win further customer orders. As to understand the market competitive conditions, Simultaneous Importance-Performance Analysis (SIPA) is able to provide simultaneous analysis of three fundamental concepts – the importance of the competitive character, the performance and the performance of the competitors. This study is based on the electronic materials manufacturing companies in Taiwan. Fourteen items from Order-winners and Qualifiers Criteria as the character assessment are taken for the case analysis of the company and its competitors’ competitive conditions and strategies.
Mechanics Analysis and Optimized Design of Aircraft Skin Pass Damage Repair
Authors: Dong Ting Jian , Chen Jin , Ding Hua Peng
Published: June 2014

Against the sticking patch design problems of pass damage of aircraft skin repair, by using the calculation method of mechanical analysis, the stress analysis of pass damage is completed. The calculation methods are used quantitatively to determine the sticking patch dimension of pass damage repair, which is compared with analysis sticking patch design method calculated by the repair empirical equation of aircraft skin of Airline Company. The reason of error is analyzed and the measure to correct empirical equation method is put forward. The optimization of the critical parameters of pass damage empirical equation is completed.
Power Quality Management in Distribution Systems
Authors: Góes Anderson Roges Teixeira , Arns Steiner Maria Teresinha , Steiner Neto Pedro José , Canciglieri Osíris
Published: June 2014

In this paper, we propose a methodology to classify Power Quality (PQ) in distribution systems based on voltage sags. The methodology uses the KDD process (Knowledge Discovery in Databases) in order to establish a quality level to be printed in labels. The methodology was applied to feeders on a substation located in Curitiba, Parana, Brazil, considering attributes such as sag length (remnant voltage), duration and frequency (number of occurrences on a given period of time). On the Data Mining stage (the main stage on KDD Process), three different techniques were used, in a comparative way, for pattern recognition, in order to achieve the quality classification for the feeders: Artificial Neural Networks (ANN); Support Vector Machines (SVM) and Genetic Algorithms (GA). By printing a label with quality level information, utilities companies (power concessionaires) can get better organized for management and mitigation procedures by establishing clear targets. Moreover, the same way costumers already receive information regarding PQ based on interruptions, they will also be able to receive information based on voltage sags.
Model of Optimum Planning of Civil Engineering in the Settlement Territory
Authors: Soldatenko Vladimir S.
Published: June 2014

Known methods of formation of plans of civil engineering in the territory of settlements not fully consider a large number of various factors, and also discrepancy is more whole than planning. The general methods of the solution of a problem of planning aren't developed now because of its high complexity. The purpose of work is formation optimum by criterion of the maximum profitability of the plan of civil engineering at the accounting of a large number of operating restrictions. The objectives are achieved by use of the device of discrete programming for construction plan modeling. It is offered to use two stages of calculations. At the first stage the model of the plan of civil engineering, on the second - model of optimization of this plan taking into account used criterion is under construction. Settlement procedures on the basis of a method of branches and borders are thus developed. The offered approach took place settlement approbation in relation to creation of the plan of civil engineering of the settlement and showed the working capacity. On the basis of these results conclusions are drawn on area and conditions of application of the developed models and settlement procedures.
A Hybrid Genetic Algorithm for Production Capacity Allocation Problem with Multiple Regional Demands in Supply Chain
Authors: Wang Zhen , Huang Lei
Published: June 2014

Concentrating on the supplier with limited production capacity in supply chain, this paper established a mathematical model for production capacity allocation problem with consideration of multiple regional demands. The genetic algorithm is employed as solution mainframe in which a heuristics rule is developed to initiate the population and an elite pool is adopted to store those solutions with outstanding fitness values. The experimental tests show that the proposed model and algorithm are feasible and effective.
Logistics Network Optimization of Import Crude Oil in China Based on Genetic Algorithm
Authors: Chen Jie
Published: June 2014

The primary goal of this paper is to save logistics cost and reach optimizing configuration of import crude oil transportation network. An optimization model is put forward with an objective function of minimum logistics expense. It is carried out by Genetic Algorithm (GA) and MATLAB with original data of 2012 and predicted data of 2017. Results indicate that large VLCC of 260000-320000 tons is the main tanker type in import crude oil transportation network. And crude oil logistics bases will be formed which are represented by Qingdao, Dalian, Tianjin, Ningbo-Zhoushan, Zhanjiang and Huizhou in coastal areas.
Solving the Problem of General Job Shop Problem by Using Improved Cellular Genetic Algorithm
Authors: Li Zi Mu , Zhang Yi , Zheng Xiao Dong , Wan Xing Yu
Published: June 2014

An improved cellular genetic algorithm (cGA) is proposed to study the optimization of the job-shop scheduling problem (JSP). Combining with the characteristics of JSP, a sequence-based coding mechanism is presented. The small overlapped neibhborhoods of cGA help to enhance the population diversity and exploration. An adaptive selection operation based on fitness of neighborhood is designed to prevent from getting into local optimal. The improved cellular genetic algorithm is tested on some instances and compared with simple genetic algorithm. The computational results show that the improved cellular genetic algorithm is effective on JSP.
Modeling in Mixed-Model Assembly Lines Based on Object-Oriented Petri Net
Authors: Dong Hai , Xin Heng Bao , Yan Jian Hua
Published: June 2014

In order to model clearly in mixed-model assembly lines, this paper proposes an Object-oriented Petri Net (OOPN) approach by combining object-oriented concept with Petri net theory. Firstly, the mathematical definition of OOPN was given. Secondly, taking automobile transmission mixed-model assembly lines as an example, the modeling through three different levels of assembly cells, assembly resources and the whole system was finished, and the message delivery mechanism and system behavior were then described in detail. Finally, the case study shows that OOPN can deal well with the complexity of modeling, and it lays the foundation of further analysis and property verification in the mixed-model assembly lines.
Study on Green Supply Chain Management Model of Chinese Home Appliances Enterprises
Authors: Liu Wei , Chen Jing Xin
Published: June 2014

With the global environment worsening, environmental regulations and green barriers of developed countries are more and more powerful, consumers are increasingly concerned about environmental protection products. Chinese home appliances manufacturers are suffered great environmental pressure. Green supply chain management is a new management model. It is able to improve balance of the organic unity between economic efficiency and environmental protection, resource utilization and ecological. The environment is put into the entire supply chain to consider. In this paper, we analyzed the necessity and urgency of implementing green supply chain management, and built green supply chain management mode of Chinese home appliances manufacturers.
The Problem of Selecting Supplier for Retailer in Supply Chain
Authors: Liang Ning
Published: June 2014

The aim of this paper is to use fuzzy analytic hierarchy process (AHP) to select the best supplier firm providing the most satisfaction for the criteria determined. The purchasing managers of a white good manufacturer established in Turkey were interviewed and the most important criteria taken into account by the managers while they were selecting their supplier firms were determined by a questionnaire. The fuzzy AHP was used to compare these supplier firms.
The Supplier Selection in the Category Management Based on Trust
Authors: Liang Ning , Zhu Bao Hui , Dong Ying
Published: June 2014

Lacking communication and coordination between suppliers and retailers is the main cause of the shortage. The combination is simple bundle between two sides. For integrate back-end integration and supply chain, the two sides need powerful data analysis capabilities, this paper proposed trust evaluation indicators established a model of cooperation based on trust.
Negotiation Model for Assuring Quality in Supply Chain Using Stackelberg Game
Authors: Shin Kwang Sup , Kwon Back Chul
Published: June 2014

Defects from various sources in the multi-layered supply chain network cause additional cost to deliver products to customers. Although a great deal of methodologies have been proposed, there exit a few research which consider the conflictual relationship between suppliers and retailers. This paper presents an economic contract model for finding optimal acceptance sampling plans between suppliers and retailers using Stackelberg game. For each players in quality control game, the payoff functions are devised by considering both cases rejecting or accepting incoming lot based on the result of acceptance sampling. Numerical studies illustrate and provide insights of the proposed approach.
Under the Environment of Agile Supply Chain Inventory Control Research
Authors: Wang Li Li , Zhang Ting , Guo Yue
Published: June 2014

Agile supply chain is composed of different enterprises in different areas formed. In the process of agile supply chain; each member enterprises should make a rapid reaction based on the changing market situation, the customer demand and the changing of product information. For a long time, a bottleneck in the overall performance of the supply chain is the inventory, which is only occupy a lot of money, but also affect the accuracy and timeliness of information supply chain channel. The inventory cost control model and inventory time model are built in this paper to achieve minimized inventory costs among manufacturers, distributors and retailers.
Design of Simulator for Reverse Supply Chain Network
Authors: Lim Seok Jin
Published: June 2014

Recently, many countries have introduced various regulations and steps to reduce pollution and investigate to reuse energy. Thus, environmental conscious research has become important and has been widely studied in today's industries. Reverse supply chain network (RSCN) problem has been widely investigated in the research area. The purpose of this study is to design the simulator in the reverse supply chain network. Real world reverse supply chain network problem has many factors and constraints. Considering the complexity of solving such model, this study had applied the simulation technology. This study shows basic design concept and architecture of simulator for the reverse supply chain network problem. The simulator can be used to decide a realistic reverse supply chain network planning in the area.
Optimization Control of the Bullwhip Effect in Supply Chain Inventory
Authors: Dong Hai , Liu Jin Hua , Liu Liang Yu
Published: June 2014

The bullwhip effect was caused by fuzzy demand among the enterprises. In order to reduce this effect, control theory was applied to solve the inventory in supply chain. Firstly, inventory control in supply chain and the bullwhip effect was researched. Secondly, a kind of proportional integral differential (PID) controller was developed for inventory control in a three-level supply chain, and the mathematical model of the PID controller for inventory control was presented. Finally, the results show that the PID controller can evidently alleviate the bullwhip effect and inventory fluctuations under the suitable combination of control gain.
Research on Urban and Rural Areas of Yunnan Cold Chain Logistics Knowledge Alliances Building
Authors: Han Li Xing , Li Fu Chang
Published: June 2014

Creating a knowledge of alliance between the urban and rural cold chain logistics enterprises in Yunnan is an important content of coordinated and efficient operation of the entire cold chain system. The study shows that the information disclosure in the knowledge alliance and enterprises lacks of knowledge sharing motivation. The lack of professional and technical personnel of enterprises factors restricts the establishment of urban and rural areas of cold chain logistics enterprise knowledge alliance. Measures (establish security and incentives in a knowledge-based alliance, develop a plan to nurture talent and establish a high level of trust between knowledge sharing) have to be taken to solve the problems in knowledge alliance building process.