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In the order picking process of the warehouse center, considering the rapid increase in the volume of orders arriving at the picking center at the time of the promotional festival, a hybrid operation mode with multiple picking tables is used to meet the picking requirements of the huge number of real-time orders. Therefore, in this paper, a hybrid picking mode is proposed, taking into account both the idle degree of picking stations and their order item centers of gravity, and a new reinforcement learning algorithm embedding mechanism (PRL) with placeholder control is designed to solve the problem of a huge number of real-time item orders arriving at the picking center system on promotional holidays and in inconsistent quantities, and numerical simulations are performed for this algorithm. The experimental results show that the PRL algorithm in hybrid picking mode can handle a huge number of orders simultaneously and improve picking efficiency effectively.

With the rapid development of e-commerce, the efficiency requirements for logistics distribution are getting higher and higher, so distribution routing optimisation has important theoretical and practical significance. In this paper, a new coding mechanism is designed to solve the distribution task in the multi-distribution centre scenario and vehicle scheduling problem with capacity constraints in the distribution scenario. Simulation results show that this algorithm has the advantages of high solution efficiency, variable input and avoidance of re-referencing compared with two heuristics of Google OR-Tools, ant colony algorithm and simulated annealing algorithm, thus this algorithm can effectively solve the logistics distribution routing optimisation problem and improve the efficiency of logistics distribution.

Information of highway is the basic element of intelligent transportation system. This study proposes a method for extracting section information of highway based on massive GPS data. The method has the advantages of low time complexity and high accuracy. The method is inspired by the algorithm of Density Based Spatial Clustering of Applications with Noise (DBSCAN). DBSCAN can discover cluster of arbitrary shape. The method calculated neighborhood density of GPS points by algorithm of zone division; therefore this method reduces the computation scale and the time complexity greatly. Taking into account the uneven distribution of GPS data between sections, the method of hierarchical division is adopted in clustering, and iterative clustering is computed from dense to sparse. Finally we find that our method can find the road information efficiently on massive GPS data.

This paper studies financial crisis of listed companies in China Manufacture Industry, and selects 181 companies with financial crisis and 181 normal companies as its research samples, and its research is based on financial indexes three years before the financial crisis happens. Firstly the method of principle component analysis is used to abstract useful information from the training data. Secondly a prediction model of financial crisis is constructed with the method of Support Vector Machine and the accuracy of the model is 78.73% on the training data and the 79.79% on the testing data. Thirdly the advantages of this model are discussed over the other prediction models. Finally the research results show that this model uses the least number of input variables and has the highest prediction accuracy, thus this model can provide the useful information to investors, creditors, financial regulators and etc.

In a real e-commerce website, usually only a small number of users will give ratings to the items they purchased, and this can lead to the very sparse user-item rating data. The data sparsity issue will greatly limit the recommendation performance of most recommendation algorithms. However, a user may register accounts in many e-commerce websites. If such users’ historical purchasing data on these websites can be integrated, the recommendation performance could be improved. But it is difficult to align the users and items between these websites, and thus how to effectively borrow the users’ rating data of one website (source domain) to help improve the recommendation performance of another website (target domain) is very challenging. To this end, this paper extended the traditional one-dimensional psychometrics model to multidimension. The extended model can effectively capture users’ multiple interests. Based on this multidimensional psychometrics model, we further propose a novel transfer learning algorithm. It can effectively transfer users’ rating preferences from the source domain to the target domain. Experimental results show that the proposed method can significantly improve the recommendation performance.

As GPS datasets are becoming more available with spatial and temporal information, the needs of high quality, predictive information about spatio-temporal are turning out to be a feasible goal. However, many GPS devices are prone to failure, which results in missing GPS data. Moreover, the missing data may affect the accuracy of the result. To make the matter complicate, the missing data is always not missing at random, and is characterized by long time during which no data is observed. In this paper, there exists a missing trajectory in a truck's traces which lasts a few of seconds. In order to make the trajectory complete, an STZ algorithm is proposed to solve this problem for the first time. The STZ algorithm is aimed to compute the area between any two trajectories. In this paper, we have known many possible routes which are from the original point to the destination. Next, this approach calculates the area between any two trajectories which represents the similarity of the two routes. Last, the K-modes algorithm is adopted to group the similarity of the routes and complete the missing trajectories.

The missing trajectory problem is a difficulty in various transportation applications, e.g. the road which the truck usually travels and the driver's behavior. Most of previously developed missing data are not concerned about the spatial and continues space. Therefore, in this article, an algorithm is proposed to complete the missing trajectory in a vehicle's trace. The possible traces are found out from the historical traces. First, it finds out all the possible routes which pass the missing trajectory based on the distance to the start point and the end point of the missing trajectory. Second, it calculates the distance and the ti me interval of every possible route. Finally, this paper adopts the K-modes algorithm to cluster trajectories to different groups to complete the missing trajectory relied on the result.

With the rising number of vehicles equipped with GPS system, a lot of vehicle trajectories are produced every day. At present researchers begin to study the vehicles' trajectory data. But the current trajectory compression technology cannot be very simple and will lose much information. Therefore, this paper puts forward a data warehousing design of vehicle trajectory. It can store compressed vehicle trajectory, simplify the data volume, and save the feature points. Thus, it provides a sound base for finding useful information from vehicle trajectory.

It is important to match vehicle GPS points onto a map. Many map-matching algorithms, which use heading, speed and position to complete the map-matching process, are not suitable for the low frequency GPS data. The distance between two adjacent GPS points in the low frequency GPS data can range from 500m to 1000m, and the vehicle can cross several streets. This paper puts forward a modified weight-based algorithm using the vertical distance and the shortest path. This weight-based algorithm uses the instantaneous speed of two points to estimate the vehicle travel distance. Therefore, the improved algorithm has the higher accuracy.

In order to improve the Peer-to-Peer (P2P) network resource locating efficiency and isolate malicious peers, a topology adjustment algorithm for unstructured P2P networks is proposed. TTL (time-to-live) value for each neighbor has been set up and adjusted; specific information on the query path is recorded; a topology adjustment algorithm is given. The topology adjustment algorithm is evaluated by peer shortest path, simulation and analysis show that the topology adjustment algorithm can isolate malicious peers to the network edge, and improve service quality of P2P networks.

In recent years, various applications of Peer-to-Peer (P2P) computing have been widely used because of its unique advantages, which have play ed an important role in commerce, communications and other fields. The P2P system is essentially a distributed system, without central servers. Each peer is both client and server, who have the same status. However, some features of P2P networks, such as autonomy, dynamic, and heterogeneity lead to an important problem, namely unreliable quality of service. Unreliable quality of service is usually presented as providing false or unreliable service, impacting customer satisfaction. The establishment of trust models which evaluate s capabilities of peers can measure the service capacity of a peer, and identify malicious behavior, thereby reducing the risk of interaction and being an effective technique to ensure the overall availability of P2P networks. A trust model named METrust in P2P networks based on the recommendation is proposed. In METrust, a peer selects recommendation peers whose evaluation criteria are similar, and evaluation criteria of peers are determined through the AHP method (Analytic Hierarchy Process). Each peer in the network has a unique credibility of recommendation, and two trust parameters for updating the credibility of recommendation are introduced, namely updating range and updating strength. METrust proposes algorithms to compute the trust of peers. Simulations show that, the trust model METrust can identify malicious peers, and improve the quality of service in P2P networks effectively.

For proposing introspective method for the logistics organizations with voluntary carbon reduction wish, the paper takes carbon footprint instead of cost or profit as the objective function of logistics system directly. By combining the traditional classification methods of logistics cost and the measuring methods of carbon footprint, it analyzes the mechanisms of carbon footprint’s generation in details. Then it creates the carbon footprint model of logistics. By solving the model, it obtains the calculation formula of carbon footprint order quantity (COQ) and carbon footprint per unit time which is similar to the traditional economic order quantity (EOQ). Then it analyzes the effect of EOQ deviating from COQ on carbon footprint. By comparing with the effect of COQ deviating from EOQ on cost, the paper gives a way to estimate the economic value of carbon footprint.

A new method, which assumesϕ'with a function form off(eϕ), is applied to solve the Dodd-Bullough equationϕuv=eϕ-e-2ϕthrough travelling-wave transformation. A new family of explicit travelling wave solutions is derived. The proposed method works efficiently to be applied to solve other forms of Dodd-Bullough equations.

In order to solve the problem of manual operation, low efficiency, high error rate in the process of traditional stocktaking, this paper proposes a counting scheme of storage based on a new wireless RFID sensing equipment. By applying the wireless RFID sensing equipment in the stocktaking, it can solve the problem of processing large quantities of data, improve counting efficiency and accuracy, realize the full automatic counting without paper, save manpower and optimize warehouse management.

With the development of positioning services, an increasing number of people and companies pay attention to the management and protection of the precious goods which they possess, through the determination of its location to achieve the management purpose [1]. At present, the main positioning way is to use the global positioning system (GPS), but many of the valuable items are stored in the indoor, and it's hard to receive a satellite signal in the room, so it cannot be accurate positioning. As a new short distance wireless data recognition technology at present, Radio Frequency Identification (RFID) indoor positioning technology is very suitable for the indoor positioning. Because it has many characteristics: large amount of data storage, readable and writable, strong penetrating power, long recognition distance, fast read-write speed and the use of the characteristics of long service life and good adaptability to the environment, etc. Among the RFID indoor positioning technology of many positioning algorithms, the three sides positioning algorithm is commonly used, and more mature. At the same time, the storage space of most valuable items is simple, and the environmental factors have little influence on the signal interference. So it is feasible to use the three sides positioning algorithm of RFID positioning algorithms to locate the valuables in the indoor.

In Peer-to-Peer (P2P) e-commerce systems, peers' features such as heterogeneity, anonymity and autonomy lead to some security problems, such as forging, slandering and collective cheating, which affect the quality of service a lot. A trust model in P2P e-commerce systems based on the recommendation is proposed, each peer in the system has a unique credibility of recommendation, two trust parameters for updating the credibility of recommendation are introduced, namely updating range and updating strength. The trust model proposes an algorithm to update the credibility of recommendation; a peer selects recommendation peers whose evaluation criteria are similar, evaluation criteria of peers are determined through the AHP method(Analytic Hierarchy Process). Simulations show that, the trust model can identify malicious peers, and improve the quality of service in P2P e-commerce systems effectively.

Firstly, this paper compares the character of EDI with the character of XML. Secondly, one useful model has been analyzed and designed. Thirdly, the process is described based on the model designed. Then one example of standard XML documents is discussed. In the end of this paper, the conclusion has been given that it is the trend the XMLwill replace EDI on the supply chain in the future.

To solve current problems of identity authentication in CSCW, an arbitrated digital signature scheme based on a hybrid cryptosystem is proposed in this paper. This paper mainly discusses issues on reasons of putting forward this scheme and implementation steps of this scheme, including the selection of AES and ECC, and methods of key distribution. Finally, this paper presents a model based on this scheme and sums up its advantages.

In this paper, the importance of information security and the difference between symmetric cryptography unsymmetric cryptography are introduced. Then the principles of Elliptic Curve Cryptography and the advantages of the prime fields in FIPS 186-2 are discussed. Based on these, the flexible architecture of Elliptic Curve Cryptosystem is proposed and the implementation is described. In the end, a conclusion is drawn that the prime fields have many advantages over the orther prime fields.

In this paper, the originality of the Internet of Things (IoT) is introduced. Then the different visions are discussed. After this, the technologies and applications are analyzed. Based on these, the issues are displayed. In the end, the conclusions are drawn; we should utilize IoT while we must try hard to find the solutions to the issues.

A new kind of retrieval software architecture about structured data and Non-structured data was proposed in this paper. In the past, because of the great differences between them, we have to use different ways to deal with their data retrieval. We have been using SQL statements in the structured database search, and using index search in the non-structured data retrieval. But regardless of which search method was taken, it will bring the incomplete problem. Now the architecture resolve the problem.

GUI library of Linux has not unified standards and this is not the same as that of Windows. So there are a variety of Linux desktop operating systems, and it is a difficult problem for the development of the testing tools in Linux. For solving the problems presently, this paper proposed a general record/playback technique based on X11 in Linux. By this technology, you can record the user's operations, and then be able to automatically playback them in testing. This technology has been used in the development of a platform for performance testing of domestic software.

In this paper, the importance of information security is introduced, and several methods of information security are discussed. Then RSA and Elliptic Curve Crytosystem are compared, and ECC is safer than RSA, and that ECC replaces RSA is the trend in future. As kP is often computed in ECC, the efficiency of Computing kP is the key point. Several methods of computing kP are analyzed and compared, a new method of computing the best size of sliding window is proposed. After that, a new method of computing the inverse of several points in batch is proposed. In the end, the conclusion that new methods can improve the efficiency of kP is drawn.

In this paper, the importance of IOT and its history is introduced, and many countries and enterprises put their focus on IOT. After this, several technologies in IOT are discussed. Then the applications of IOT in Electronic Commerce are analyzed. In the end, the conclusion is drawn that IOT will greatly change the methods and styles of Electronic Commerce, and it will improve the service of EC and its efficiency.

In this paper, the necessity and importance of information security are introduced. After this, measures of information security often used are analyzed, and their advantages and disadvantages are discussed. On this base, the viewpoint that operating system is standardized and soft ware is interpreted by it, and this measure is sure to hide operating system's details from software, protect operating system's security, prevent virus's invasion. In the end, its feasibility is discussed and a conclusion is drawn.

This paper introduces the current development situation of China's e-commerce firstly, and then points out that the era of reverse logistics in e-commerce development situation, and after that elaborates on the key reverse logistics system function modules. In the end a conclusion about how to use XML/EDI for data exchange is drawn.

With the fast development of cryptography research and computer technology, the cryptosystems of RSA and Diffe-HelIman are getting more and more unsafe, and Elliptic Curve Cryptosystem is becoming the trend of public cryptography in the future. This paper mainly uses object-oriented technology as tools, and divides Elliptic Curve Cryptosystem into several layers, every of which corresponds a class. The properties and methods of these classes are discussed, and some methods are implemented. In the end, the advantages are analyzed, and the cryptosystem implemented with advanced programming language is easy to transplant.

The development of "global information society" is transforming nearly all business processes including information system education, and one implication of this transformation is that a new curriculum of management information system (MIS) should include new components of internationalization and should be accessible to other cultures. This paper first introduce the history of MIS major in China and USA, then the objectives, courses architectures, contents of course in China MIS curriculum and USA MIS curriculum are compared, and the advantages and disadvantages are discussed. In the end, conclusions are drawn, and the conclusions include that MIS curriculums must have clear objectives, scientific courses architectures, and some courses can be taught in English.

With the fast development of cryptography research and computer technology, the cryptosystems of RSA and Diffe-Hellman are getting more and more unsafe, and elliptic curve cryptosystem is becoming the trend of public cryptography in the future. This paper mainly uses object-oriented technology as tools, and divides elliptic curve cryptosystem into several layers, every of which corresponds a class. The properties and methods of these classes are discussed, and some methods are implemented. In the end, the advantages are analyzed, and the cryptosystem implemented with advanced programming language is easy to transplant.

The Bluetooth has become a popular wireless communication technology. Bluetooth device pairing enables two devices to authenticate each other and establishes a secure wireless connection. However, there are many attacks during pairing process, e.g. man-in-the-middle attacks. In order to improve the usability and security of Bluetooth, This paper presents the standard pairing protocol and analyzes the attacks against this pairing. We provides a strategy of pairing, which uses elliptic curve Diffie-Hellman public key cryptography and out of band mechanism. Not only it can simplify the process of pairing, but also improve the security of Bluetooth.

With the fast development of cryptography research and computer technology, the cryptosystems of RSA and Diffe-Hellman are getting more and more unsafe, and elliptic curve cryptosystem is becoming the trend of public cryptography in the future. This paper mainly uses object-oriented technology as tools, and divides elliptic curve cryptosystem into several layers, every of which corresponds a class. The properties and methods of these classes are discussed, and some methods are implemented. In the end, the advantages are analyzed, and the cryptosystem implemented with advanced programming language is easy to transplant.

The digital content distribution businesses satisfy people's requirements for the rich and colorful digital content and also promote the user experience. These businesses also make an increasing profit for content makers, content providers and network carrier, and will be a critical position in the future business value chain. However, copyright piracy still doesn't solve very well and results in great loss for content providers. The digital content has the characteristics of easy copy and distribution, therefore, digital rights management has been the key technology to protect intellectual property of digital contents, control their dissemination and usage in digital content Web issue. First, synthetically analyze the disadvantages of typical digital rights management framework. Second, given a series of the problems in the modern system, digital rights management system based on smart card is proposed. Making use of the characteristic of smart card itself, the new framework will be mobile, secure and off-line. Following this, a set of digital management protocols are designed, including license acquisition protocol, usage, update protocol and authentication. The new system's framework, module structure, system design and realization are described. At last, the new system's characteristic is analyzed and is proved to be secure and efficiency.