Earticle

As the development of the internet, there are increasingly online shoppers around the world engaging in the e-commerce actives, and more people prefer to buy the large household appliances on line. However, there are few quantitative studies on the investigation of the main affecting factors of the desire to purchase the large household appliances online focused on the market in China, which is one of the developing countries with the highest online population growth. This paper is an attempt to identify the main factors affecting the online shopping of the large household appliances from the e-commerce websites in China, and Fisher’s exact test is applied to identify the main affecting factors of online shopping desire. The results could be the guideline for the e-commerce companies in terms of improving their sales of the large household appliances.

Traffic in the road network acting a major role in the society. Everyday traffic is increased because of moving vehicles in the shortest path even though government handle traffic signal is based on the timing condition. Because of that travel time is increased from source to destination. The existing system handles the vehicular traffic using a two stage routing algorithms are time dependent landmark graph model is used to estimate travel time between two landmarks and the next stage is variance entropy based clustering model is used to estimate the distribution of travel time between two landmarks in different time slots. By using this algorithm, cannot estimate the speed pattern of the road segment and traffic has not been predicted and prohibited. To address these limitations a proposed system uses two ways are one is weight propagation model, the weights that captures the travel time and traffic can be extracted from the GPS (Global Positioning System) trajectory data collected from the network and another one ant colony optimization algorithm to estimate the optimal path apart from the traffic. Using this proposed algorithm the road network traffic has been detected and prevented.

Keyword extraction is one of the most important contents of information retrieval research. Document keywords extraction on the basis of semantic is an effective way to improve the accuracy of automatic extraction. This paper proposed a semantic-base keywords extraction method with the Chinese document as the processing object. First, semantic distances between words are calculated through the synonyms dictionary. Then theme related classes are obtained by density based clustering of words. Finally, the headwords are selected from topic related classes and regarded as keywords. An artificial contrast experiment, a corpus classification experiment and a scoring experiment were conducted. Results show that the proposed semantic-based keyword extraction method has higher accuracy and recall rate, and the extracted keywords are more related to the topic.

In recent day’s conventional CCTV surveillance system recording continuously, so it occupies huge memory space and power consumption even there is no object in monitoring area. In addition the continuous CCTV surveillance recording consumes more time to time review the stored video. Aforesaid parameters limit the effectiveness of traditional CCTV surveillance system. The proposed CCTV system initiate the recording process whenever the object movements in the camera coverage area. This system provides solution for enhancement in recording system. Proposed CCTV surveillance system uses MSP430 controller, microwave motion sensor and camera. When object movements in monitoring area are identified by the microwave motion sensor, MSP430 controller enable the memory storage system. While no movement of object in coverage area, the system avoids the video recording. So that the system utilizes less electric power, reduced memory space and reduces review time of stored video.

In this paper, the problems of traditional wiring harness, Using electronic, computer and communication technology, control system of automobile lights was developed based on the LIN protocol, t according to the LIN protocol to develop and design of an intelligent master node and slave nodes，Completed the hardware selection and circuit design of a master node and slaves, and software analysis and program implementation, forming a part of the body electronic control system, the application works well.

This paper develops a theoretical framework to examine the relationship between e-tail quality dimensions, customer satisfaction and loyalty. Data from a survey of 415 online consumers were used to test the research model. Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA) were conducted to demonstrate the reliability and validity of the measurement model, and the Structural Equation Modeling (SEM) technique was used to test the research model. Our results support the proposed hypotheses. The analytical results showed that the system quality, information quality and service quality affect customer satisfaction and loyalty. Information quality aspects have a positive relationship with system quality and service quality dimensions. Moreover, the latter in turn are significantly related to e-loyalty. While no other study has looked at these sorts of data, collected from university students of China. Moreover, the results of this study provide a valuable reference for managers, researchers of online retailing. This study suggests that to enhance customer loyalty, online retailers can devote valuable resources to better establish e-tail quality dimensions, which can develop and improve customer satisfaction in the context of online retailing.

With the development of power grid intellectualization, real-time state monitoring of power cable outer sheath is becoming more and more important. Monitoring and test of the cable outer sheath currently being used are time consuming and inflexible. To this point, a DigiMesh network based wireless monitoring solution is proposed in this article. The sensor node is mainly composed of main control chip Msp430F169 and XTend module based on DigiMesh network. It is being used to receive, store and transmit the collected data and information, and pass back the outer sheath state monitoring data through multiple hop transmission. During this process, the multi-channel and multi-data source parallel transmission mechanism is applied to reduce the route hop number and lower the network load. The proposed solution was experimental simulated, which proved to be practical and had a good real-time performance. This solution is also applicable to state monitoring of cable outer sheath in areas which are not covered by telecom signals, and it is helpful to discover and handle the cable line fault and reduce safety hazards.

With reference to the characteristics of online supply chain finance, this paper establishes a credit rating index system for the loan enterprise in the online supply chain finance that is based on the third-party B2B e-commerce platform. The system applies the multi-level gray evaluation model based on the Theil index to make a comprehensive evaluation on the credit of the loan enterprise and tests the model’s feasibility through the analyses of numerical example. The evaluation model overcomes the subjectivity of weight distribution to index and presents the degree (from excellent to poor) of indices on each hierarchy distinctly so as to enable banks to take risk control specifically in operation.

Over the last few years, perspectives in information security have been drawn, to a large extent, by risk management. The extensive use of risk management methodologies in organizations relying on an IT infrastructure proves the potential of the practice. In this survey we discuss the characteristics of the quantitative risk management methodologies, compare them and provide an overview on how these methodologies are entwined with the concept of adaptive security. We also discuss the challenges of quantitative risk management and adaptive security models and propose reliable criteria to compare the different approaches in the literature.

The power generation prediction problem can be seen as a time series prediction problem in nature. The traditional time series prediction methods based on regression analysis do not take account into the time accumulation effect existed in the time series due to their discrete input values. This limitation causes the low prediction accuracy of the time series prediction methods based on regression analysis. To solve this problem, a power generation time series prediction model based on the process neural network is proposed. The inputs of the proposed prediction model can be continuous time-varying functions. The time accumulation effect existed in the power generation time series can be expressed and computed by the integration operator of the process neural network. The proposed prediction model is trained and the efficiency of the proposed prediction model is tested by the month power generation data form January 2001 to April 2012, and the comparison experiment results indicate that the process neural network performs better than the auto regression analysis.

In this paper, the technical actions to reduce losses and improve functioning distance relay protection on high-voltage lines is analyzed. Addition to this, criterion technical efficiency of main stages distance relay protection is presented, analyzed and calculated. Based on these analysis and criterion, recommendations for designing and setting main stages distance relay protection are proposed.

Science achievement is combinations with lots of attributes, such as creativity, sociality and scientificalness, etc. And process of judgement is a fuzzy synthesis in science award decision, so it is difficult to model them in conventional figures. It makes a conclusion that science achievement and decision results are showed in interval fuzzy numbers reasonably and scientifically after research attributes of interval number. Therefore, in the paper sequence between interval numbers is developed and further study points to properties of interval sequence. On the basis of properties, we prove that there must be the interval sequence between interval fuzzy numbers and the interval sequence is exclusive theoretically. Consequently, science achievement could be ranked by interval sequence function. At last, we present interval fuzzy sets to scores of experts and to model of science award, and the decision is reasonable.

Circular economy as an advanced development mode for harmonizing the problems among resource, environment and economy, is destined to be the choice for keeping on developing. It is the sustainable development strategy which based on reducing, reusing, recycling principle and the recommendation of circular economy was proposed to build resource-efficient and environmental-friendly society. How to choose the evaluation index system and correctly evaluation the development trance of circular economy is treated as a decision problem. In this paper, a hybrid warning model using matter-element model, combination weight method and place value method for evaluating the development trance of circular economy is proposed. The matter-element model is used to choose the statistical index system of circular economy. The combination weight method is used to calculate the weight of indicators and the place value method is used to contribute the comprehensive evaluation and warning model of circular economy. Finally a case study demonstrates the application of the proposed model.

Port storage area optimization is resulted from the space allocation requirements of a seaport. Inventory analysis, covered in the scope of operation research topics, is frequently used in the port management such as determining the capacity of the storage areas. In the scope of port planning, the feasible storage area will yield an economic configuration with minimal investment. To achieve this, there must be none or minimum idle container slots in the storage area. In this study, a model based on the inventory analysis considering the minimization of the port expenses was implemented for the İzmir port in Turkey and the optimum future storage area of İzmir port was estimated for the coming years by forecasting the container traffic using Artificial Neural Networks considering the Turkey’s economic growth. The study indicated that there is a requirement of a storage area capacity for the coming years. It was found that, the capacity requirement for an optimal storage area management for the seaport was around 10000 containers for 2014, 11000 for 2018 and 12000 for 2023.

In this paper, eleven indexes affecting performance of open-ended stock funds are chosen. Then an improved information entropy model with genetic algorithm in which subjective and objective analysis are combined is proposed for synthetically evaluating of performance of funds in China. After that, we calculate the score of 35 funds and their ranking, which reveals that the model is practical.

The World Wide Web has become an inseparable part of millions of people who use online services e.g. online banking, online shopping, social networking, e-commerce, and store and manage user sensitive information, etc. In fact, it is a popular tool for any class of user over the Internet. Rich Web based applications are available over the World Wide Web to provide such types of services. At the same time, the Web has become an important means for people to interact with each other and do business. This is the positive side of this technology. Unfortunately, the Web has also become a more dangerous place. The popularity of World Wide Web has also attracted intruders and attackers. These intruders abuse the Internet and users by performing illegitimate activity for financial profit. The Web pages that contain such types of attacks or malicious code are called as malicious Web pages. While the existing approaches are good indicators in detecting malicious Web pages, there are still open issues in Web page features selection and detection techniques. In this paper, we are giving an extensive survey of existing malicious Web pages detection approaches and features they have used.

The accuracy of the traditional online recommendation system, much depends on the collaborative filtering recommendation algorithm, however, recommend system aims to attract the interest of consumers and turn visitors into buyers, rather than accurately predict their score. Online recommendation system is the service version of social filtering process. Most previous studies emphasize the accuracy of the collaborative filtering algorithm. However, the effective recommendation system must be credible. It requires that the system logic be transparency and the system be able to provide consumers a new, inexperienced item. Based on the above, this paper proposes to research the quality evaluation of recommendation system from the angle of user’s experience, adding a freshness parameters of Top-N recommend collaborative filtering similarity calculation method, and comparing with the classical recommended algorithm. The experiment result has a certain degree of accuracy and high diversity, which provides basis for establishing the e-commercial recommendation system.

In transportation theory each and every equipment has its own importance. The main aim is only to be safe transport of finished goods. In the transportation many types of pallets are used. Generally the standard pallets are used in all the industry, because they are easily available and ordered from local market. The disposal of this standardize pallet is also easy. The engine transportation is the special case of transport when it comes to export of engines across countries. Before this type of design optimization it is needed to check with the all circumstance related to failures occurring while exporting the product across countries. The pallet design is optimized and simulated for the critical behavior of pallet. The design of pallet is simulated for the transportation and stationary (story building) condition with the aid of FEA analysis using analysis software.

GM (n, h) model is the model of grey system modeling, which uses n-order differential equations of h variables. N and h in different models have different meanings and uses[1].Use of model GM(1,1) and model GM(1,h) to tax revenues of the grey system model is established, and applied to the Harbin local tax revenue and the main tax prediction and verification, which provide intellectual support for the local government decision-making is very important [2].At first, this paper forecast the Harbin local tax amount, then respectively to forecast the main tax and inspection (value added tax, business tax, enterprise income tax, individual income tax),Through to the amount of tax and the main tax predicted results of the inspection, show that the prediction error is not big, in line with the actual.

The gradual finding of large quantities of low-relevant or even non-relevant information is returned by the traditional keyword-based query. To further improve the efficiency and quality of network learning resources retrieval, this article designs a generic Semantic Web-based e-learning resources retrieval system model and achieves B/S mode of semantic retrieval prototype system, considering the influence of various factors for the similarity and correlation, such as degree of semantic overlap, semantic distance, semantic hierarchy, and property relation. By comparing with the traditional query, the retrieval results showed that the semantic retrieval methods to ensure precision in the case of a higher recall rate.

Die casting is the process for manufacturing the metal parts with desired shape for various industrial applications. Casting Process depends on many parameters variation such as die temperature, moisture level and viscosity of liquid level. At present days all the process parameters in die casting industry are measured manually. Manual measurement leads to error in measurement also time consuming. To overcome this issue non-contact type temperature measurement device is used for die temperature measurement but moisture and viscosity of the die is measured manually. Because die temperature is very sensitive one in die casting process. The proposed system is partially automated with PIC microcontroller and monitoring of the process is done through LabVIEW software.

This study investigated the presence of month of the year (MOY) effect in Dhaka Stock Exchange (DSE), Bangladesh with the data from 2000 to 2012 of DSE all share index (DSI), DSE – 20 index (DSE – 20) and DSE general index (DGEN). DSE indexes were fluctuated more over the last couple of years and the only one previous study was conducted based on only DSI index as per our knowledge. The present study has made progress not only in relationship to documenting the month of year effect but also in highlighting potential explanations for its presence. Several hypotheses have been formulated; student’s t – statistics, ANOVA and dummy variable regression model were used in the study. The conclusion of all the findings is that the significant month of the year effect presents in DSE. So, investors can outperform the market and this is against in principle of market efficiency.

Remote grenade is often used to fight. Fire extinguishing shell material selection and structure parameters have a great influence on fire extinguishing dispersion and even directly determine the extinguishing effect. Taking the crown fire of Mongolica 20 years old as example, the influences of fire extinguishing bombs with different shell materials on fire extinguishing dispersion are compared in this paper. Simulation of fire extinguishing bombs with different shell materials is operated by finite elements software and come to a conclusion that unidirectional short fiber reinforced composite materials is suitable for fire extinguishing bomb shell because of less power consumption and longer dispersion distance when shell bursting. In the meantime, the experiment is carried out on the sample of fire extinguishing bomb with the shell of unidirectional short fibers. The conclusion is length-diameter ratio to put plant crown fire out has better fire control effect than fire extinguishing bomb with 1.5% powder and save the use of extinguishant.

Different architectures have been proposed for Data Warehouse. This paper gives a survey of the various architecture techniques used and justifies why there is still a need for optimized data warehouse architecture which overcomes the limitations or challenges of the existing techniques. Survey includes OLAM architecture (combination of Data mining and OLAP), complex Data Warehouse architecture, Real Time storage Architecture, Data Ware House Architecture through view point of information system and Model Driven approach for Data Warehouse. Ultimate goal of this paper is to propose an architecture which is fault tolerant, has less resource consumption and user friendly.

China stock market has been making great contributions to China’s economy since established. In this paper, a VAR model, with stock market factors and economic growth factors involved, is established to study the relation between China stock market and economic growth. The result indicates that a one-way Granger causality exists between the development scale of stock market and the animation of stock market, that is to say, a well developed and animate stock market will push forward economic development; and that the capitalization rate of stocks and the commercial value rate may promote each other, namely the better the development of stock market is, the higher the stock price is, hence increase of the value of stock. As a result, the healthy development of China economy will be facilitated.

Separately using two different types of ceramic cutting tool, through the experiments of ceramic cutting tool to study the processing of super-alloy of tool wear, compare the two processing the cutting tool wear condition, and further analysis of the wear mechanism of ceramic cutting tool process, and get the related conclusion.

To nickel base superalloy in dry cutting, the milling experiment be done in the four-axis machining center with ceramic tool WG300 is in order to know the influence of cutting speed to chip morphology through the macroscopic observation on chip by optical microscope and the analysis of chip morphology. Then, focus on the machining features of GH3039, reasonable orthogonal test be designed, after which getting the influence of different level’s value to milling force and its change law based on the range analysis of experiment datum.