bluuebunny/crossref_metadata_2025 huggingface dataset:
Comprehensive Evaluation Method of Surface Water Quality in Arid Region
Authors: Yang Shang Yang , Zhang Long Yun , Gao Yue
Published: December 2011

With the building of the South-to-North Water Diversion Project, surface water resources in arid regions has been recharged effectively. Generally speaking, the surface water-supply resources in arid region include two parts, local water and secondary water, which makes its water quality evaluation has its own particularity and different from regular evaluation. So the surface water quality evaluation in arid region is unique.For it involves a wide range of complex factors in practice, the fuzzy set theory and fuzzy matter-element theory were applied to the study. The mathematical model was established based on the quantity demand of both local water and secondary water, and meanwhile taking the subjective and objective conditions into account carefully, so the weights of the two parts were obtained respectively. The results proved to be a good solution to solve the problem of water quality evaluation level in arid areas,and the research achievements also openup new ideas for comprehensive evaluation method of surface water quality in cities of arid region.
Tourism Planning of the Extant Historic Buildings in China
Authors: Cao Chun Xiao , Kuang Ting Yue
Published: December 2011

China's existing building is a modern Western precious heritage of all mankind, can not be ignored with great history, culture and Artistic value, its tourism development is important to realize the value of their own way. Historic buildings summarized and successful cases of tourism development, protection of traditional culture from the perspective of the existing historic buildings in China demonstrated the economic development of the significance of tourism, the development of principles and proposed measures to provide for the relevant departments and relevant basis for decision making and action reference.
Remote Sensing Monitoring and Thermal Environment Response Analysis of Land Use / Cover Change in Changping District, Beijing
Authors: Chen Gai Ying , Guo Da Zhi , Wang Li
Published: December 2011

As a rapid developing area, Changping in Beijing, China, the change of land use and land cover(LUCC) had occurred at large scale in the recent 20 years. Remote sensing had provided the approach to monitoring LUCC and the environment response. The paper focus on monitoring LUCC and quantitative analysis of the thermal environment response. Based on the multi-temporal LandsatETM remote sensing images in 1999 and 2006, the earth surface brightness tempreture had been obtained by retrieving from LandsatTM6. The regional land use change and its spatio-temporal thermal environment evolution were analyzed with ENVI4.7 and Arc GIS 9.2. The research results showed that the land use changed evidently from 1999 to 2006. The regional urban expanding and the spatio-temporal thermal environment evolution was consistent from 1999 to 2006. By comparing the contrbution from the different land use types to the urban thermal environment effect, it was discovered that forest land was the largest contributor for the low area. The proportion of forest land decreased in the low temperature areas, and the proportion of urban land increased in high temperature area from 1999 to 2006. The urban heat island effect was obvious. The nakes arable land resulted the high temperature areas. The forest land and the agricultural land with the crop was helpful for the lower temperature areas.
Fast Marching Simulation of Two Dimensional Lithography Process of Thick Photoresists
Authors: Shi Li Li , Chen Bei , Zhou Zai Fa , Huang Qing An
Published: December 2011

Fast marching method is an accurate, extremely fast numerical technique in analyzing and computing moving fronts which can develop sharp corners and change topology. We successfully accomplish this method in two dimensions and the two-dimensional lithography process simulation of SU 8 photoresists has been implemented. The obtained results indicate that the fast marching method can actually accelerate the simulation and be used as an effective method for thick photoresist lithography process simulations.
The Design of Wave Data Frequency-Domain Analysis Program
Authors: Wang Shou Jun , Liu Nan
Published: December 2011

In this paper, a specific method is presented for designing program of wave data frequency-domain analysis, which includes basic principle and program implementation of Fast Fourier Transform, programming of power spectrum estimation and calculation and display of each order moment of wave spectrum. In the process of introducing FFT, we present specific program flow chart. While in the power spectrum estimation, this article mainly refers to the power spectrum calculation and power curve smoothing. According to the practical test, the program is stable, expeditious and accurate highly.
The Study of Constraint Conditions about Cultural Algorithm
Authors: Ren Zhi Bin , Sheng Hong , Wang Wei
Published: December 2011

Abstract. We present a concept that classifies the constraint condition group in the strong-constraint condition and the weak-constraint conditions. And all of the contradictions are belong to weak-constraint condition group. Then the contradiction can be eliminated by the weakening strategy. The proposed approach is satisfied to both the common constraint condition group and the contradiction constraint condition group, And this bring the extension of the appliance. Furthermore, as the contrary constraint conditions are also satisfied, the final optimal result that obtained by cultural algorithm will be more comprehensive. The performance of the proposed approach can be shown by five test functions, and examine results prove that this method is efficient and effective to contradiction constraint optimization.
Energy Management in Public Buildings Using IFIX-Based SCADA System
Authors: Lu Jun , Wang Liang , Wang Xi , Li Chun Die
Published: December 2011

A systematic and detailed introduction of IFIX-based SCADA system in public buildings is given in this paper. SCADA system consisting of on-site computer control system, central operation station and intelligent metering system, makes the energy-management system complete. It reflects the energy consumption status reasonably by energy monitoring, combined metering as well as apportion in terms of acquirement. By means of equipments’ energy consumption analysis, the running mode of equipments is adjusted to reduce energy consumption in buildings. The advanced function of SCADA system, moving forward, should be self-adaptive energy management with the advent of intelligent building.
A Research on Sampling and Reconstruction Based on Minimal Norm
Authors: Chen Shou Qiang , Sun Hua , Wang Yu Ke
Published: December 2011

Based on the character that many channels should be used in the periodic non uniform sampling, this paper has transferred sampling to a matrix vector operation by the theory in confederate subspace. By adopting periodic non uniform sampling and reconstruction method basing L1 algorithm, this paper analyzed the reconstruction requirements of the Minimal L1 Norm in periodic non uniform sampling and perfectly reconstructed signals via interpolator. Last, take the multiband sinusoidal Signal as an example, a simulation has been conducted.
Estimation of Power Quality under Wide-Range Frequency Deviations
Authors: Xu Xi Qiong , Zhu Hong Wei
Published: December 2011

A simple algorithm for measurement of both the fundamental active and apparent power in a wide range of frequency changes is prescribed. Assumed that the input voltage and current signals have been filtered to be fundamental components and the noise effects are minimized. In order to accurately estimate the quantity of the power signal, adaptive finite-impulse-response filters (FIR) are used to measure fundamental active power, Prony-based algorithm are used to measure the frequency and fundamental apparent power. To improve the precision of both the fundamental active and apparent power, weighted-least-square (WLS) algorithm has been employed. To demonstrate the performance of the developed algorithm, computer-simulated data records are processed. Simulation results show that this algorithm is applicable to measure power quality under wide range of frequency changes. Thus, the proposed algorithm really meets the needs of online applications.
Pseudo-Color Coding with Phase-Modulated Image Density
Authors: Sheng Zhong , Jiang Xiao Yu , Zhen Wei
Published: December 2011

Traditional pseudo color coding for gray images based on image enhancement technique cannot adequately deal with some of the details information of the image. In this paper, an enhanced approach of peudo-color coding with phase-modulated image density is presented. This method has distinct levels, richer colours, and is adequate for human perception of color ,providing a better algorithm for pseudo color coding based on gray images. This method has great potential in research and application and characteristic of strong universal usage, which can process high gray resolution image.
Theoretical Analysis and Countermeasures on “Resources Hollowing” Problem-An Analysis for Developing Countries
Authors: Che Hui Chun , Zhao Xian
Published: December 2011

“Resources hollowing” is a phenomenon which reflects the conflict between growth and resources shortage, as well as the lost balance between natural resources and economic development. This problem is increasingly serious in developing countries because of the unhealthy growth mode. To achieve sustainable use of resources under such situation, developing countries must make efforts to establish resources price system and the national accounting system, and provide technical support and legal protection for the sustainable use of resources.
Enterprises Internal Management Investigation and Analysis
Authors: Guo Wen Ting , Liu Bing , Liu Yong Gui
Published: December 2011

This thesis takes practical enterprise internal investigation of the consulting company for instance, thoroughly introducing the aim, content, method, analysis as well as report of this investigation. This investigation group conducted a thorough and systematic investigation to the internal management through the methods of desk research, materials consultation, on-the-spot investigation, anonymous questionnaire survey, post readme, in-depth interview, and visiting customers and the suppliers and displayed present situations and reform suggestions at aspects on company's strategic management, corporate culture, human resources management, production and quality management, sales management, financial management and management system.
A Motion Blurred Image Restoration Method Based on Wiener Filtering
Authors: Quan Qian Qian
Published: December 2011

To the deficiencies of traditional methods for avoiding motion image blurring, a motion blur image restoration method is studied based on Wiener filtering in this paper. The formation factors of motion-blurred images and the imaging process are analyzed, and the motion blur degradation model is established. It introduced the working principle of Wiener filtering, described the steps of blurred image restoration in details. The experiment testing and data analyzing are also conducted. Experimental results showed that the method can has good performance.
A Research on the Internal Control Information’s Disclosure of Signal Game Model of the Listed Companies
Authors: Wang Qi Jie , Wu Xiao Gang
Published: December 2011

This paper studied the game theory about that the listed companies used internal control disclosure as signal under the condition of incomplete information, constructed a signal game model to analyze the internal control information disclosure problem under the condition of incomplete information. It also proposed some policy Suggestions to inspire the listed companies to disclose internal control message veritably.
New Method of Harmonic and Reactive Current Detection for Asymmetric System
Authors: Zhao Ying , Pei Peng Peng , Zhang Wu
Published: December 2011

On the basis of principle of harmonic detection method which is used in instantaneous reactive power theory, modified Ip-Iq design scheme is proposed in this article. This scheme mainly aimed at harmonic and reactive current real-time detection in the situation of asymmetry voltage which is caused by unbalanced load, is in progress of theoretical analysis and simulation experiment, analyze the error in the progress of practical detection. Simulation results demonstrate the validity and effectiveness of this method.
Fire-Fighting Safety Assessment in City Zone
Authors: Hou Zun Ze
Published: December 2011

It is very important to assess the fire-fighting safety in city zone. That is the base of programming and arranging the city fire scientifically. According to the definition about the target of fire management in “The latest Fire-fighting Law”, this paper first proposed the method to classify it, determined the parts in the city zone fire-safety system, and determined the weight of each criterion by Analytic Hierarchy Process method. Secondly, it studied the model of city zone fire-safety assessment through the theory of fuzzy mathematics, and made some research and calculation on city zone fire-safety evaluation. Finally, it evaluated the condition of zone fire-safety in Xuan Wu Area in Beijing according to the model we have designed. The results showed that the methods we proposed and the calculations we have had were efficacious.
An Optimization Algorithm of Foreground Objects Extraction
Authors: Zhang Xia Yi , Li Zhi Peng , Liu Fu Qiang , Jia Zhen , Zhao Jian Wei
Published: December 2011

In this paper, we propose a novel algorithm for coarse-to-fine foreground objects extraction. There are two general approaches for foreground objects extraction: background subtraction and image matting. Our new approach can not only improve detection accuracy compared with general background subtraction approaches, but also reduce computation burden compared with general image matting approaches. Firstly, we present a novel method called Motion-mask Gaussian Mixture Models (Motion-mask GMMs) to extract coarse foreground regions. This new approach can classify foreground and background pixels more accurately, especially when there are long-time stopping objects in the scene. Secondly, with the coarse foreground regions, we propose a novel approach to make foreground object extraction more accurate based on effective fusion of image registration and image matting. This new method overcomes the template drift problem during template updating and also reduces the expensive computational cost of image matting. Our proposed approach is tested with kinds of video sequences in indoor and outdoor environments. Experimental results demonstrate the accuracy and efficiency of our proposed approach for foreground object extraction.
A Demodulation Method of 2FSK Signal Based on Duffing Oscillator
Authors: Shi Shuo , Xu Li Zhen , Gu Xue Mai , Wang Er Fu
Published: December 2011

This article put forward a new method on 2FSK signal demodulation by using Duffing Oscillator based on the theory of weak signal detection in Chaotic System. In this paper we utilize the regulation of the wave form generated by the chaotic system when it is detecting the weak signal and combined with the modulation method of 2FSK signals to analyse the demodulation of 2FSK signal in the background of strong noise and construct a Matlab/Simulink simulation model, the result proved the feasibility and effectiveness of this method.
Planting Roof Green Technology Research and Discussion
Authors: Wu Ya Jun , Xu Dong , Wang Xue Ying
Published: December 2011

Planting roof technology as the main types of urban stereo greening，not only has the meaning of ecology, but also can improve the city landscape, rich architectural forms of efficacy. This paper will divide planting green roof technology into heavy planting roof and light planting roof, which are discussed respectively, in order to strengthen public understanding of planting roof technology.
Discussion of Task-Driven Teaching Approach through Software Engineering Teaching
Authors: Li Hai Hua
Published: December 2011

This article first introduces task-driven teaching approach, then analyzes the perplexity in software engineering teaching, and finally discusses, by giving an example, how to adopt task-driven teaching approach in software engineering teaching. Since software engineering is abstract and very practical, its learning will become an active process rather than passive one when task-driven teaching approach is adopted. Students can better grasp teaching contents and teaching effects can be greatly improved if they know the teaching tasks.
DSP-Based FIR Filter Design and Circular Buffer Implementation
Authors: Wen Hui , Li Shu Ming
Published: December 2011

The digital filter technology includes two aspects, which are the filter design process and filter realization. The article expounded the basic structure of FIR filter, with examples on the use Matlab to determine the FIR filter coefficient, analysis of the cycle of the buffer zone algorithm Principle, based on the algorithm, combination of filters designed to achieve the input of mixed-signal FIR digital filter. In the end, the filter is given before and after the input and output signal waveform simulation.
Multi-Splitting Waveform Relaxation Methods for Solving the Initial Value Problem of Linear Integral-Differential-Algebraic Equations
Authors: Lin Xiao Lin , Sang Yuan , Wei Hong , Liu Li Ming , Wang Yu Mei , Lu Rong Hui
Published: December 2011

We present the multi-splitting waveform relaxation (MSWR) methods for solving the initial value problem of linear integral-differential-algebraic equations. Based on the spectral radius of the derived operator by decoupled process, a convergent condition is proposed for the MSWR method. Finally we discussed the convergent condition of discrete-time case of MSWR.
False Peaks Suppression based on Cross-High-Order Spectral QR Decomposition Approach
Authors: Gao Yu Ling , Huang Qing , Yu Bao Ming , Kang Xiao Tao , Shi Yao Wu
Published: December 2011

In signal processing, a frequently encountered problem is harmonic retrieval in additive colored noise, especially false peaks existence in harmonic signal peaks. The purpose of this paper is to develop an efficient approach to clear the false peaks based on cross-high-order spectral QR decomposition approach. Simulation results indicate that spectral density curve is smooth without false peaks existence. The methods have better in resolving power and performance than previous MUSIC approach. Thus, this approach is ideally suited for harmonic retrieval in additive colored noise and short data conditions, and is also accurate to estimation signal parameter in hybrid colored noises.
Research on P2P-VoD System Based on IPv6 Network
Authors: Song Ji Hong , Liu Sheng Wang , Wang Qing Quan
Published: December 2011

In this paper, for the shortage of network quality of service, multicast support and other deficiencies in VoD systems based on IPv4 network, we built a P2P VoD system architecture based on IPv6 network and data transfer mechanisms were in-depth studied. This paper describes the basic idea of the system and system architecture. According to the characteristics of P2P and multicast, we designed a collaboration data transmission of P2P and IP multicast and did some experiments and analysis on the system. Experimental results show that the system can effectively solve the P2P bandwidth problem and the unreliable of multicast data, and has high efficiency and practical value.
Study on Cost Estimate at Product Design Stage Based on Factor Analysis and Neural Network
Authors: Zheng Yi , Wang Ming Hua , Yang Tao
Published: December 2011

The cost estimate plays an important role in cost control and developing new products at the design stage. To improve the accuracy of cost estimate, we extract the feature parameters using the theory of concurrent engineering and factor analysis. Then we propose DCEM that is the model of cost estimate based on factor analysis and BP neural network. The model not only simplifies the input of BP neural network, but also avoids the coupling among the input parameters. The result shows that the model’s performance is stable and it can estimate the cost more accurate at the early product design stage.
Optical Surface Position Encode and Application Research
Authors: Zhang Jun Xing , Bo Chun Juan
Published: December 2011

A surface position location means based on encode recognition is presented; the design of a new kind of absolute position optical mouse using this technology is completed. The position encode algorithm and the code recognition method based on image acquisition and image process are presented also. The structure of pen-type sensor system and light path design of it are discussed. The coordinate conversation algorithm and the detected technology of pen down and pen up are provided. The advantages of the new kind of mouse are that it can write and draw more easily than traditional mouse.
Research of Wavelet Packet Analysis in the De-Noising of Ultrasonic Echo Signal
Authors: Zhou Xi Feng , Wu Xiao , Guo Qian Gang
Published: December 2011

The quality of ultrasonic flaw echo signal is the foundation of achieving qualitative and quantitative analysis in the in ultrasonic flaw detection. In practice, the flaw echo signals are often contaminated or even annihilation by random noise. According to the characteristics of ultrasonic flaw echo signal, wavelet packet has more accurate local analysis ability in low frequency and high frequency part. This paper discusses de-noising in ultrasonic signals based on wavelet packet analysis, and proposes an improved threshold approach for de-noising. The results show that: It remarkably raises the signal-to-noise ratio of ultrasonic flaw echo signal and improves the quality of signal with improved wavelet packet threshold.
A UMDA-Based Discretization Method for Continuous Attributes
Authors: Zhao Jing , Han Chong Zhao , Wei Bin , Han De Qiang
Published: December 2011

Discretization of continuous attributes have played an important role in machine learning and data mining. They can not only improve the performance of the classifier, but also reduce the space of the storage. Univariate Marginal Distribution Algorithm is a modified Evolutionary Algorithms, which has some advantages over classical Evolutionary Algorithms such as the fast convergence speed and few parameters need to be tuned. In this paper, we proposed a bottom-up, global, dynamic, and supervised discretization method on the basis of Univariate Marginal Distribution Algorithm.The experimental results showed that the proposed method could effectively improve the accuracy of classifier.
A Secure Authentication Protocol Conforming to EPC Class-1 Generation-2 Standard
Authors: Tang Lin , Bai En Jian , Wu Wen Qiang
Published: December 2011

With the development of e-business market, radio frequency identiﬁcation (RFID) technology is becoming more and more importance. It is often used to identify object because it can work without manual intervention. Several organizations including EPC global and ISO have been working on the standard of RFID all the time in order to promote it using low-cost tags. In particular, the EPC Class-1 Generation-2 standard was accepted as an international standard by ISO/IEC. However, this standard exists some security vulnerabilities. To resolve these vulnerabilities, some protocols conforming to EPC Class 1 Generation 2 was proposed. In this paper, we show the weaknesses which exist in RFID system’s security protocols conforming to EPC Class-1 Generation-2 and submit a new security protocol suitable to the standard, then validate the whole security performance of the new protocol. The safety performance of the new protocol and existing protocols are also compared in this paper .The result shows that the the new protocol could be used in the low-cost tag because of its high security and low communication complexity.
A Verification Method of Multi-Threaded Processor Based on Tree-Structure
Authors: Ma Pei Jun , Liu Meng , Li Kang , Shi Jiang Yi
Published: December 2011

A method based on tree-structure for verifying a multi-threading processor is described in this paper. In this method, instructions are classified according to tree-structure, instruction stream is generated by hierarchical random and the tree-structure is pruned by feedback information of functional coverage model. Results show that this method can speed up the convergence of the coverage and supply effective functional verification for micro-engine.
Research on Forward-Looking SAR Motion Compensation Based on Navigation Data Pre-Processing
Authors: Zhou Qiang , Yang Jian , Qu Chang Wen
Published: December 2011

In order to overcome the influence of proning to pitch of platform, in this paper, a novel Algorithm used for preprocessing navigation data is proposed. By means of a characteristic coordinate transformation and two steps delay based on self-installed registration initialization point. Accurate flight parameters of platform are acquired for forward-looking SAR motion compensation precisely. Simulation test proves the validity and serviceability to performance.
Design and Implementation of Recruitment Information Retrieval System Based on Low-Carbon Online Recruitment
Authors: Cao Hong Jun , Zhang Pei , Zhou Zhi Qiang
Published: December 2011

In order to improve the search speed and accuracy of recruitment information in online recruitment of "low carbon recruitment”, this paper designed the online recruitment information retrieval system. The recruitment information retrieval system developed by J2EE platform and RIA technology. And it used for the retrieval of recruitment information and the personal circumstances of applicants for companies. Firstly, this paper described the purpose of developing this system and some related retrieval technology. Secondly, it introduced the overall design and detailed design. Finally, it provided applicants with a friendly user interface so that applicants can quickly apply for jobs and thus achieved the purpose of energy conservation and emission reduction.
The General Monitoring Method of the Signal of TDMA Satellite Communication System
Authors: Yin Jia , Feng Wen Quan , Xi Liu
Published: December 2011

The current satellite communication systems generally use TDMA signal multiplexing method to improve the frequency efficiency. The system described in this paper has build a signal monitoring platform of TDMA satellite communication system by using general-purpose instruments, the platform has a flexible structure, strong real-time and high levels intelligent. Instead of the traditional monitoring method which uses the communication quality of the entire channel to replace the quality of each time slot inside the channel, it can monitor the signal quality of all the satellite communication time slots inside the monitoring channels. Practice has proved that the platform improves the efficiency of spectrum testing staff; it has realized a high degree of standardization and generalization, also it has reliable and stable operation.
Web Services Composition Algorithm Based on Mine Domain Ontology
Authors: Wang Zhen Wu
Published: December 2011

Through analyzing the commonness of mine domain, the paper proposes a composition algorithm of web services based on mine ontology in order to integrate business of mine industries. The paper specially gives the formal description of mine domain ontologies, and proposes the composition algorithm which uses mine domain ontologies. The practice proves that web services composition in certain domain can enhance the efficiency and qulity of services composition. Web services are rapidly changing the landscape of software engineering on account of their outstanding traits, for example big granularity, loose coupling and late-binding mechanisms.Web services selection is the foundation of services composition,and selection methods can be divided into two classes: functional attributes based web services selection method and QoS based web services selection method.The first method is usually used to match single web service and recent literature[1] discusses global function matching problem.Because WSDL lacks semantic information, some scholars[2][3] add semantic information to WSDL in order to increase services matching quality. The second method usually discusses QoS in the global scope,but the selection efficiency and quality are the considered issue. Recent literatures[1][4] add semantic information to QoS attributes ,and literature[2] considers web services selection using the two methods comprehensively. Web services selection usually does not involve certain domain, but the theory and practice of software engineering prove that software reuse in certain domain is easier to succeed. For web services selection based on functional attributes, services selection in certain doamin(for example mine domain) is easier to add semantic information to WSDL because of domain ontology ,and for services selection based on QoS attributes, we can design more appropriate QoS attribute model according to domain requirements. So researching web services selection in certain domain has theoretical and realistic significance. In fact, some literatures begin to research web services selection and composition in certain domain. Literature[3] proposes an intelligent telecommunication service model based on semantic web services according to design the telecommunication service domain ontology, literature[5] discusses web services detection based on oil and gas domain ontology automaticly, and has a good effect. The paper proposes a composition algorithm of web services based on mine domain ontology and the details is organized as follows. Section I gives the formal description of mine domain ontology; Section II is the composition algorithm which bases on mine domain ontology; Section III concludes this paper.
The Research and Application of the Fuzzy Neural Network Control Based on Genetic Algorithm
Authors: Zhang Yong Chao , Zhao Wen Zhuang , Chen Jin Lian
Published: December 2011

How fuzzy technology and neural networks and genetic algorithm combine with each other has become the focus of research. A fuzzy neural network controller was proposed based on defuzzification and optimization around the fuzzy neural network structure. Genetic algorithm of fuzzy neural network was brought forward based on optimal control theory. Optimal structure and parameters of fuzzy neural network controller were Offline searched by way of controller performance indicators of genetic algorithm. Fuzzy neural network controller through genetic algorithm was accessed in fuzzy neural network intelligent control system.
Performance of the Target Detection Based on Instantaneous Frequency Time-Frequency Energy Integration
Authors: Liu Chang Yun , Shui Peng Lang , Zhu Lei , Yang Shao Chun
Published: December 2011

The target detection feasibility and performance based on the TF energy integration are analyzed in this paper. Assuming the phase of signal is known, the time-frequency(TF) energy signal is got through TF transform, and the energy along the instantaneous frequency(IF) curve is integrated, the TF energy is used for target detection. Analytical and experimental results show that TF energy integration method based the target detection performance increases almost 6dB as compared to non-coherent integration, the advantage of the TF energy integration detection is that the echo signal parameters aren’t needed to be known.
Region Growing Based Optical Fiber Panel Shadow Detection
Authors: Wang Ming Ji , Wu Yun , Fu Dong Hua
Published: December 2011

Automatic defect detection of light image is very important in optical fiber panel (OFP) research now. In order to achieve detection of shadow defect automatically, proposed a new region growing algorithm. Using gray characteristics and fuzzy connectedness of image, realized automatic seeds selection by first selecting seed window then selecting seed points. Realized region growing algorithm with adaptive threshold by using maximum between-class variance method (OTSU). Proposed one OFP shadow detection evaluation operator, evaluation results showed that algorithm proposed in this paper was more accurate positioning of the shadow, achieved significant reduction in redundant information, and improved segmentation quality of the image effectively.
A Safety Assessment Method of Power Enterprises Based on Historical Case Knowledge
Authors: Zhang Lei
Published: December 2011

This paper provides a case-based approach for the management system security assessment decision making of power generation enterprises. A case matching method named CBR-Grey is introduced in which Delphi approach and Grey System theory are integrated. Based on this method, we implement a prototype of enterprise assessment information system for the panel of experts. The experimental results based on a real-world power generation enterprises safety assessment data set show that CBRSYS-TPP has high accuracy and systematically performance.
The Design and Implementation of an Enterprise Mobile Information System Based on Internet of Things
Authors: Deng Miao Ting , Shang Yan Lei , Gu Ping Li
Published: December 2011

Traditional monitoring systems with backward equipment and artificial management can’t meet a reliable and effective requirement, especially for coal mine enterprises. As the increasing occurrence of coal mine disasters, the safety management of coal mining has been more and more important. In this paper, we put forward an enterprise mobile information system based on the Internet of Things and mobile internet. With the mobile application developed on J2ME platform, users can monitor the situation of the mine in real time and at any place. The enterprise mobile information system will help to reduce the accidents and improve the level of intelligent monitoring at coal mines.
A Game Analysis between GM Food Production Enterprises and Regulators in Information Asymmetry
Authors: Ma Lin , Gu Hai Ying
Published: December 2011

Information asymmetry exists in a game relation between GM food Production enterprises and Regulators. Thus the market equilibrium depends on the strategy of GM food Production enterprises and Regulators.This paper argues that the probability of GM food Production enterprises paying attention to the propaganda and labeling GM food Consciously increase along with the probability of Regulation whether in Dynamic Game or Static Game. For the sake of Consumers,the Regulation of GM food is Essential.
The Theoretical Analysis of Uniform FBG Local Transverse Force Characteristics
Authors: Wu Zhao Xia , Mao Rui , Zhang Zhi Yuan , Wang Li Fu
Published: December 2011

In this paper,the transveral force on uniform FBG is specially analyzed according to the couple-mode theory and the corresponding mathematical model is established. Studies show that when the FBG under local transverse force, the length of pressure has no effect on the reflection spectrum. The wavelength of the reflection spectrum splitting point and lateral force possessed a direct proportional linear correlation, and has periodicity at the same time. The split point reflectivity and the force position approximately have hyperbolic tangent relationship.
Effective Categorization of Machine-to-Machine Services Applied in Cellular Network
Authors: Liu Rong Duo , Wu Wei , Yang Da Cheng
Published: December 2011

Providing Machine-to-Machine (M2M) services is not only an opportunity but also a big challenge for telecom operators. Currently, the categorization of M2M services is mainly based on the serving field. Because the serving field is very large and new services will come up along with the progress of market, it is difficult for operators to provide services according to the serving field. Based on the real requirements from the operators and venders, there are 14 service features defined by 3GPP. However, the relation of different features is unclear. A new categorization method for M2M services based on the traffic characteristics is proposed in this paper. Based on the four traffic characteristics, including content type, data amount, transmission mode and priority of transferring, the M2M services are divided into five categories: mobile streaming, smart metering, regular monitoring, emergency alerting and mobile POS. Furthermore, the service characteristics and network requirements of each category are also analyzed.
Rehab Assistance for Diabetic Neuropathy Patients
Authors: Nithyaa A.N. , Premkumar R.
Published: December 2011

The aim of this paper is to design a Sensing socksfor Diabetic patients and alert the patients in case of anyphysical parameter extremity and to detect tissue damagebecause of heat, pressure and humidity. This will alert thepatient if anyone the parameter exceeds the permissible time /quantity limit. Data acquisition system using LabVIEW isdesigned to create a database for storing the information from the sensor. Diabetic neuropathy is a lack of feeling accompanied by tingling, burning, pain, or numbness in the legs and feet due to nerve damage. Loss of sensation in the lower limb and feet contributes to the risk of developing foot ulcers. When the nerve disease causes a complete loss of sensation in the feet, patients may not be aware of injuries to the feet, and fail to properly protect them. To avoid foot ulcers, sores and to alert the patients from skin injuries We have designed a socks which can be worn by the patient and it helps in monitoring the patient continuously and provides alert to the patient if there is any risks in increase heat, pressure and humidity, so that tissue damage can be avoided.
Traveling Wave Solution of (2+1) Dimensional Boussinesq Equation by Bernoulli Sub-ODE Method
Authors: Feng Qing Hua , Liu Tong Bo
Published: December 2011

In this paper, we derive exact traveling wave soluti-ons of (2+1) dimensional Boussinesq equation by the known (G’/G) expansion method and a proposed Bernoulli sub-ODE method. We also make a comparison between the two method.
Adaptive Sample Reduction Techniques for Continuous Interleaved Sampling Strategy in Multi Channel Cochlear Implant
Authors: Tabibi Sonia , Sadjedi Hamed
Published: December 2011

CIS (Continuous Interleaved Sampling) strategy in which electrodes stimulus is determined based on extracted information from amplitude of different bands of input signal, is a basis in processing methods in cochlear implant systems. In this paper besides implementing this strategy, methods for improving sample reduction and computational efficiency are also presented. In this case adaptive method according to processing parameters and an input signal has been suggested that due to the use of fewer samples to synthesize the signal is better than the other methods and is significantly efficient.
A Novel Approach and Design of Embedded Controlled Prosthetic Upper Limb to Assist the above Elbow Amputees
Authors: Jothi Lakshmi D. , Illakiya G. , Rajkamal R.
Published: December 2011

The existing prosthetic upper limb design and control is divided into two broad categories. One is the myoelectric prosthesis where electromechanical active joints actuate the arm segments and is directly activated by acquiring Electromyogram (EMG) signals from the amputee which is sensed by myoelectric electrodes. Acquiring of the EMG signals is a tedious process as it involves adequate amplification and proper filtering. Also isolation of noise from EMG signals poses difficulty. The other category falls under intelligent prosthetic hand where neural networks (NN) are involved. It requires adequate training for NN operation that leads to the complexity in implementing electronic circuits. The major disadvantage of the above mentioned technologies is lack of proprioceptive feedback from the amputee. The drawbacks of the existing technologies motivates us to design a prototype with proprioceptive feedback to control the Above Elbow (AE) prosthesis with a permanent magnet implanted at the distal end of the residual humerus of the amputee. The proprioception remains intact to the residual limb skeletal structure. In this work, the proposed approach involves in processing the magnetic field variation due to residual arm bone movement which is sensed by magnetic field sensors. The embedded controller controls the movements of the prosthetic hand by processing the signals received from the sensors to assist the AE amputee.
A Study on Improving the Efficiency of the Knapp Test for Injection Ampoule Inspection by Applying the Taguchi Method, TRIZ and CBR
Authors: Lin Wen Tsann , Wang Shen Tsu , Li Meng Hua
Published: December 2011

This study first defined two major problems in the automatic inspection of the inspection machine for injection medicines, which were the inspection results falling beyond the target range resulting in a low performance ratio and a lengthy process of machine parameter adjustments to reach the expected performance ratio. It then performed a manual inspection to determine the existing performance status. During the analysis phase of the study, TRIZ and CBR (case based reasoning) were integrated and used as the manifest tool to inspect and adjust the parameters related to the Knapp test for the purpose of utilizing their ways of systematic thinking to find the relative parameters that might affect the inspection quality, and further to confirm four major parameters through screening by TRIZ and CBR, including the magnification, the bi-qualitative alloplasm of the relative positions of different images, the maximum floating foreign particle lumps and the maximum foreign particle lumps. During the improvement phase of the study, a set of test procedures combining the Taguchi method and analysis of variance was proposed to determine the optimum parameter combination of the major parameters. The validation tests confirmed that the problem solution structure developed in this study could allow the automatic inspection to realize the expected efficiency. This structure could make a significant contribution to the application of the Knapp test in medical automatic inspection systems, and serve as a reference to industries relying on manual production or inspection.
Traveling Wave Solution of (2+1) Dimensional Breaking Soliton Equation by Bernoulli Sub-ODE Method
Authors: Feng Qing Hua , Wang Yu Lu
Published: December 2011

In this paper, we derive exact traveling wave soluti-ons of (2+1) dimensional breaking soliton equation by a proposed Bernoulli sub-ODE method. The method appears to be efficient in seeking exact solutions of nonlinear equations. We also make a comparison between the present method and the known (G’/G) expansion method.
Improvement of Power System Security under Network Contingency with Static VAR Compensator
Authors: Rao B. Venkateswara , Kumar G.V. Nagesh , Kumari R.V.S. Lakshmi , Kumar M. Vinay
Published: December 2011

SVC is incorporated in Newton Raphson method in which Power Flow Solution is a solution of the network under normal operation as well as network contingency, the model of SVC i.e. SVC Susceptance Model is discussed. Newton Raphson Power flow method has been developed for the steady behavior of large complex power systems, it allows the study of power flow under abnormal conditions as well as normal conditions. It is shown that how the system power losses are decreased after incorporating the SVC in this model. It is also shown that how the SVC is useful in network contingency. The results are generated for 5-Bus system.
Public Buildings Baseline Load Forecasting Model
Authors: Ma Qing , Li Qi Qiang
Published: December 2011

Based on the fact that public buildings baseline load is hard to predict effectively,a kind of BP neural networks forecasting model based on FCM optimization preprocesses which combines with adjustment factor is proposed. The method which adopts method of the FCM arithmetic divides the complicated historical data into gather of multiple proxy event day populations. Then, based on BP neural network forecasting model regulated by adjustment factor, public buildings baseline load forecasting model is introduced. The prediction results show that the prediction precision of the model is higher than that of linearity model, and it can predict the public buildings baseline load effectively.
A Trust Model Based on Check Point Behaviors Risk Evaluation
Authors: Du Rui Zhong , Zhang Fang
Published: December 2011

Trust is an important factor in people’s trading activities, and it is closely related to risk. Trust and risk are the two key factors of Decision-Making. However, existing software behaviors trust research always overlooks the risk. In order to evaluate the credibility of software behaviors more reasonably and accurately, a trust model based on check point behaviors risk evaluation is presented. This model sets check points into software behaviors trajectory, and accumulates every suspected risk check point, then adopts rewarding or punishment mechanism to evaluate a software behaviors trustworthy, which can judge whether software behaviors are credible or not. The simulated experiment shows that this model can distinguish the potential risk effectively in software behaviors, evaluate the risk value trustworthy and provide objective and reliable information to judge whether software behaviors are credible or not.
An Application on Controller to Improve Performance of Multi-Core Shared Memory Based on Network Processing
Authors: Ma Pei Jun , Peng Yu Jia , Li Kang , Shi Jiang Yi , Guang Qing
Published: December 2011

An application to improve the performance of Multi-Core shared memory based on network processing is described in this paper. In order to get more instructions with address relevancy, the function of chain is applied on the design of SDRAM controller. The application of chain needs to rely on the design of arbitration and command control logic. Firstly, the algorithm of the arbitration is adapted to ensure the function of chain bit. Secondly the command control logic is also optimized to support addressing SDRAM memory efficiently. The verified results show that the efficiency of the SDRAM memory can be improved nearly 47.4% after exploiting more instructions with address relevancy.
Design of Data Transmission Platform Based on LVDS and FPGA Technology
Authors: Zhu Yin Feng , Ye Xi En
Published: December 2011

This paper presents a design of data transmission platform based on LVDS and FPGA technology. It is used for data transmission in Audio and Video teaching system, and we provide 64 terminals. The platform mainly contains two parts, multimedia data transmission card and network switch which are connected by LVDS serializer-deserializer. We use FPGA as the core chips to control data transfer.
Simulation and Analysis of SNR Estimation Algorithm Based on Observation Vector Covariance Matrix
Authors: Wang Fang , He Xu
Published: December 2011

AFH (adaptive frequency hopping) is the key technology of modern military tactics anti-interference, and channel quality evaluation is the core technology of AFH system. This paper describes the SNR estimation algorithm based on observation vector covariance matrix, and analyzes the mean and MMSE (minimum mean square error) of the SNR estimation algorithm based on autocorrelation and covariance matrix in the condition of AWGN and Rayleigh fading channels. The result shows that the SNR estimation algorithm based on covariance matrix has a smaller estimation error and more timely, which can be applied by AFH communication system.