Earticle

The physical class is always out of the door. This class model is different from the traditional class. As this special characteristic, how to ensure the weight of the sports test course achievement evaluation becomes necessary and important. The application of AHP makes it possible to carry out the quantity evaluation in the sports research. The study makes a comprehensive evaluation with AHP and puts forward a method for relative analysis and a thereunder for decision-maker. From the necessary and sufficient conditions of completely consistent matrix, the criterion of consistency has been improved. We create a new improved AHP method, namely MCAHP (matrix correction analytic hierarchy process). And we apply it to examine the physical class in determining the weights of evaluation indicators by students. Examples show that the improved algorithm is better than the original AHP in significantly reduced computation. And this method improves the running speed. The first part is the introduction. The second part is the steps of AHP. The third part is the study on the MCAHP algorithm. The fourth part is the exploration of the MCAHP algorithm. The fifth part is the numerical experiment and the last part is the conclusion.

On-line game service is the hottest game genre today, and one of major on-line game is MOBA (multiplayer online battle arena) game. In MOBA games, the collaboration of team players and team strategy are vital elements together, besides the individual player's game control capability. Thus important issue for the MOBA service providers is to detect bad players showing abnormal plays or appearances in games with embedded malicious intentions. Previous approach had been presented to cope with such players; however they have not yet shown any promising results to judge each player. In this paper, we propose an efficient and automatic abnormal player decision support scheme using PageRank and normal distribution to find and judge bad players. Our scheme computes BPR (bad player ranking) for each user, and BPR can be used in service provider’s final decision to decide a specific user as an abnormal player. Our scheme has main advantage that it requires small computational efforts to identify bad players, because we utilize PageRank algorithm which shows efficient computation and information search capability.

This paper presents a new blood pressure (BPs) measurement and data logging device which can be extensively used for ICU patients who are intended for a period of observation. The main purpose of this paper is to know about the changes in BP with respect to time and changes in the food taken by patient who are under observation. If any abnormal changes occur in the BP then the system alerts using a buzzer and it also sends a message to a predefined number (i.e., a physician number) using GSM. If not for each and every second it saves the data into SDcard in a file format, therefore appropriate steps can be taken in accordance with the changes in BP. The paper also took care of layman towards BP inorder to understand everyone even without the help of physician. This paper follows a Non-invasive type of BP measuring technique i.e., volume oscillometric method. Through the developed algorithm the BP measured is more accurate which is compared to the readings measured by sphygmomanometer. This system could be made with the features like cost effective, less complex, more reliable and easy to access.

Semantic similarity measure between concepts is a generic issue for many applications of computational linguistics and artificial intelligence. Information Content (IC) of concept is an important dimension of accessing semantic similarity between two concepts. Recently it has attracted great concern and become a hot topic. The paper gives a general overview of usage of information content in semantic similarity computing and then focuses on how to obtain information content. It reviews and analyses state-of-art IC models, including Corpus-dependent and Corpus-independent IC approach. Hyponym-based IC Model, leaves-based IC Model, concept’s topology structure based IC Model and relation-based IC Model are discussed respectively in detail. The important related issues are described. Finally further research is outlined for the improvement of IC.

When an amount of users are accessing the wireless network with multiple Access Points (APs), a challenge is how to allocate the wireless network resources effectively. A utility function is proposed to evaluate the effectiveness, and a Resource Allocation Algorithm (RAA) is introduced to solve this problem. The algorithm firstly calculates the utility values from a user’s request to different available APs. Then it stores the results with request ID and AP ID in a pair. In each allocation time slot, request-AP-utility pairs are arranged in utility value from high to low. Then the available service resources are allocated to the requests properly by a Fast Resource Allocation. Compared with Fair-Method in the same simulation scene, RAA gains 200% performance in delay with only 15% losing of load balance.

In this paper, we propose 3D face reconstruction from two or three images. The reconstruction process begins with a face localization and facial feature extraction. Global transformation process is done for facial features which have been obtained. Local feature refinement is used to refine the result of global transformation. Last, texture mapping process is done to provide texture of 3D model. The method used for face reconstruction can generate accurate and fast result for various poses and facial expressions, and by using local feature refinement can improve the quality of reconstruction output more similar to the original face image.

With more emphasis on reuse of software applications, the commercial-off-the-shelf (COTS) based software systems have emerged. As a result, reliability analysis of COTS-based software system has gained prominence. The focus of this paper is to provide an overview for the state of the art of COTS-based software system reliability analysis. In this paper, we first describe the definition of COTS and reliability. Then, we discuss approach and structure of COTS-based software system reliability.

In order to obtain a satisfactory performance of visual tracking and video surveillance in complex dynamic scenes without the supervision of qualified workers, an efficient visual detection and tracking method is proposed, which can realize target counting and surveillance, behavior analysis and abnormal detection. Multi-targets tracking method based on novel Bayesian tracking model can manage multimodal distributions without explicitly computing the association between tracked targets and detections. The proposed algorithm is compared with recent works, which shows that it is robust to erroneous, distorted and missing detections and it can be applied in security and management of access points.

The Mobility First network architecture is introduced to differentiate the human readable names with corresponding Global Unique Identifiers (GUIDs), and the dynamic network address locators. The human readable name can be managed and assigned to a unique GUID by Name Certification Services (NCSs). GUIDs assigned to network objects (Things) are mapped to a set of network addresses (NAs). Delay and Disruption Tolerant Network (DTN) is used in the Mobility First for efficient communication. GUIDs are assigned to Internet of Things (IoT) and Internet of Underwater Things (IoUT). Underwater things can collect the underwater data using sensors, underwater modem, underwater Medium Access Control (MAC) board and transducer etc. Internet of Underwater Things (IoUT) can communicate the changes in the ocean environment to the offshore IoT. Underwater things are constructive in offshore investigation, disaster anticipation, data gathering, assisted navigation, pollution checking and strategic inspection. To achieve these features, this paper proposes architecture with three layers. They are IoUT layer, DTN communication layer and IoT layer. IoUT layer gathers the information with the help of underwater things. DTN communication layer sends this information to IoT layer with help of Global Name Resolution Service (GNRS). Dynamic binding of names to address is done by GNRS. By using IoT layer ocean data can be broadcasted in different applications like scientific applications, military applications, industrial applications and civilian applications. Results are shown by using the GUID accessing based on popularity.

This study investigates environment sensitive and perishable products (ESPPs) logistics problem, which is called cold chain logistics problem (CCLs). Based on a comprehensive literature review, we found that there is much room to improve regarding of the risks management in cold chain logistics, that is, the development of a comprehensive cold chain logistics design methodology should considered uncertainty sources and risk exposures. In this study, we propose a neural network model to illustrate the problems. Firstly, the paper develops input indicators at different points in cold chain logistics to examine the effects of environment fluctuations including temperature control, humidity monitoring, the temperature interruption time and electric vehicle mapping, etc; secondly, the improved neural network algorithm can achieve model convergence, including the increase of momentum term, the adjustment of learning rate and the change of error function. At last, through simulation, this study shows that comprehensive risk prediction of cold chain logistics will be calculated based on the input indicators using the improved neural network algorithm, and the predictive value is accurate. So not only the analyzing of kinds of cold chain logistics indicators can be realized through the Neural Network model, but we can take priorities resorting to the predictive results accordingly.

Most existing mobility management deployments such as MIPv6, PMIPv6 and 3GPP utilize centralized mobility anchors in the hierarchical network architecture. Centralized mobility schemes are subject to restrictions on reliability of SPOF (Single Point Of Failure) and network scalability, etc. As an alternative to the centralized approaches, DMM (Distributed Mobility Management) mechanisms have been actively and widely studied these days. In DMM, functions of the anchor node are efficiently distributed to access routers. This paper suggests the network-based partially distributed mobility management mechanism and performs extensive simulations under various traffic environments for verification and evaluation of the suggested scheme. Performance indexes such as Tx/Rx UDP traffic, end-to-end data transfer delay, binding delay, CPU utilization, WLAN throughput are analyzed and compared among MIPv6, PMIPv6 and the suggested DMM scheme. Simulation results show that the DMM scheme suggested in this paper is useful for IP mobility management research in wireless environment.

National College English Test (CET) is a nationwide examination that Ministry of Education is in charge of, with over 20 million examinees sitting CET every year. In recent years, on the basis of conventional written test, there are another three kinds of tests available, namely Internet-Based CET, Comparative CET and Predictive CET, which utilizes as many as five different sets of software, with no direct data sharing layer, for management. Therefore, the author succeeded in development of CET management information system based on multi-system data integration technology. This thesis puts forward corresponding solutions to problems, like incomplete functions and unfriendly data interface, occurring in the use of original multiple system, focuses on introducing the methods for centralized integration of basic data at the data sharing layer, realization of algorithm for intelligent arrangement of examination supervision and that for sampling of student qualification for Comparative CET, and realization of functions like standardized processing of scores in above-mentioned three tests, and elaborates the thinking clews for CET management in some university by combining with the said system. The said system has been put into service successfully, with good value for popularization.

In training artificial neural networks, Backpropagation has been frequently used and known to provide powerful tools for classification. Due to its capability to model linear and non-linear systems, it is widely applied to various areas, offering solutions and help to human experts. However, BP still has shortcomings and a lot of studies had already been done to overcome it. But one of the important elements of BP, the stopping criterion, was given a little attention. The Fisher’s Iris data set was used to this study as input for standard BP. Three experiments, using the different training set sizes, were conducted to measure the effectiveness of the proposed stopping criterion. The accuracy of the networks, trained in different data set sizes were also tested by using the corresponding testing sets. The experiments have shown that the proposed stopping criterion enabled the network to recognize its minimum acceptable error rate allowing it to learn to its maximum potential based on the presented patterns. The ubiquitous stopping criterion presented in this paper proved that the number of iterations to train the network should not be dictated by human since the accuracy of the network depends heavily on the number and quality of the training data.

The maskless lithography technology requires the management and transmission of exposure data at very high data rates. To meet these requirements, there were techniques on lossless data compression and on high performance data transmission. Many applications using Digital Micro-mirror Device (DMD) require huge and reliable data transmission and high performance processing capabilities enough to make continuous resource flow to the DMD image processing system. In this paper, we present a high data rate pumping method the pattern data to DMD unit on-demand, and implement on Windows-based system as kernel driver for 64-bit PCI interface. We use an evaluation DMD adapter which supports high performance 32/64-bit PCI interface, high-speed FIFO operation with DMA and critical interrupt priority. High priority interrupt with tightly-coupled DMA access technology is used to get high-performance transmission, and we can see that the performance is about 42% of PCI full bandwidth.

The abstract is to be in fully-justified italicized text as it is here, below the author information. Use the word “Abstract” as the title, in 12-point Times New Roman, boldface type, centered relative to the column, initially capitalized. The abstract is to be in 11-point, single-spaced type, and may be up to 3 in. (18 picas or 7.62 cm) long. Leave two blank lines after the abstract, then begin the main text. All manuscripts must be in English.

Network technology and multimedia are gaining momentum. They accelerate the reform of the educational sector. Traditional educational mode is integrated with new technology and a multimedia network education system is taking shape. As a result, traditional English teaching system has experienced a progressed reform. The evaluation of English teaching system in multimedia network is for the purpose of measuring the level and efficacy of the integrated new multimedia technology. This paper studies the English teaching system in multimedia network, adopts Analytic Hierarchy Process (AHP) to conclude 1 first-class index, 5 second-class indexes and 21 three-class indexes. It employs the Grey Evaluation and Matlab software for the comprehensive evaluation of 30 teaching systems and classifies the results by gray classes. By studying the evaluation principle of English teaching system in multimedia network, this paper intends to provide the algorithm with theoretical foundations so that the system can better serve students.

Knowledge collaboration is an effective management method to promote the appreciations of intellectual capital and social capital. In a virtual team, team atmosphere, team network and the individual attributes, etc. shall affect the performance of knowledge collaboration (KC) in different degrees. The paper will build the theoretical framework that affects the performance of virtual team’s knowledge collaboration, and use the Bootstrap-based structural equation model to perform empirical study on the theoretical framework. Empirical results show that network characteristics of virtual team, team attributes, individual attributes and collaborative efficiency all have significant impact on the performance of KC. Empirical conclusions will provide a theoretical basis and practical reference for promoting the performance of knowledge collaboration.

With the emergence of numerous 3D human motion capture databases, the effective analysis and handling of human motion data have become a major challenge so that the use of motion capture databases can be maximized. To reduce the high-dimensional complexity of data, a type of geometrical feature based on 2D geometrical space law is first extracted from human motion for the application of motion data into a low-dimensional subspace. With the aim of achieving a low-dimensional feature, identification and classification in different motions are then conducted through spectral clustering based on manifold learning to realize the automatic identification and retrieval of 3D human motion.

This paper studies robust network recovery method using logical ring architecture embedded in network topology. We present topology information based capacity provisioning methods for WDM optical networks which are widly used as a backbone architecture of current Internet. The efficiency of spare capacity provisioning is a key issue in survivable network design. In the methods, the spare wavelengths are reserved to perform optical link protection using only topology information of a network without need to calculate the amount of on-going traffic of the network, thus provide simple and efficient spapre capacity planning. The basic idea of the topology information based methods is embedding virtual cycles to perform recovery on the network topology graphs. We compare the proposed scheme with other topology information based schemes. We provide performance analysis of the topology information based schemes by the numerical calculation using cut-sets of the topology graphs, and compare it with computer simulation results.

Web crawling is an important approach for collecting larger-scale web data on, and keeping up with, the rapidly expanding Internet. This paper puts forward the improved shark search approach for crawling large-scale Web data based on link clustering and the technology of tunnel. In this study we focus on the classification of Web links instead of downloaded web pages to determine relevancy which can avoid local optimum of the traditional shark search algorithm. The experiments show that the improve shark search algorithm can provide the simplest alternative for conquering the issue of instantaneous page which are ranked lowly allied to the given topic at hand.

As the number of smartphone users has been largely increased, games are highlighted because of their roles to promote the correlations by strengthening functions of SNS (Social Network Service). The SNG(Social Network Service) connects many people who don't know each other’s around the world under one theme, therefore, becomes a communication tool for establishing a new human network. The games provided by social network service have increasingly drawn attention. In particular, a continuous expanding is exhibited in a sale along with the increase of users of SNS service, suggesting that the game industry is further activated. The growth of social network game market shows a multi-platform expansion of social network game by linking the off/online of mobile app store and web one. However, the problem of it is a lack of related experiences and developers. And the current social network games are mostly created in a flash-based form, thus, there are problems in terms of multi-platform support and limits of 3D games. Therefore, the Unity3D Engine developed by Unity Technologies, an engine which capable of making high-quality games in a relatively easy and fast way used to overcome limits of 2D social network games, and design and develop the 3D social network game(SNG) using 3D multi-platform engine unity. This is expected to contribute to an activation of the multi-platform-based smart SNG game market.

This paper proposes high resolution RGB image supported near infrared (NIR) image super resolution method. In general, NIR image has low resolution characteristics. To show small image on bigger screen, super resolution method is applied to generate bigger image to fit the display. As CCD camera take colors images with high resolution, therefore one many extract helpful features for NIR image super solution. The RGB image is converted to YCbCr image, then edge enhancement technique in each channel (Y, Cb, and Cr) is applied. To provide the best performance globally, we train a parameter, p. Simulation results indicate that the proposed method enhance conventional super resolution methods.

Mobile Customer participation type in open innovation, enterprise innovation development path, needs to address important issues. This paper proposed mobile customer sto participate typology based on three dimensions, which are the customers’ autonomy in the process, the nature of the firm‐customer collaboration, and the stage of the innovation process. Then proposed mobile customers to participate in the type of open innovation framework. Through the static comparative and dynamic evolution simulation found: mobile customers tend to be open to participate in the development of new products pre innovation, the tendency to begin to choose the low participation of degrees of freedom, and ultimately tend to opt for a high degree of freedom to participate.

Sound travels in acoustics. There are numerous audio effects and sound plug-ins in the digital music industry based on the principles of acoustics. In addition, sound is minute fluctuations in pressure. These fluctuations are rapid and are caused by pressure and velocity of the air. Pressure pushes air molecules which move, and therefore have velocity. Human hearing is capable of responding to fluctuations within the range of 20 fluctuations per second to 20,000 fluctuations per second. Standing waves are generated wherever waves are reflected towards oncoming waves. They are generated when two loudspeakers produce exactly the same sound. The waves pass through each other, but the interference nodes and antinodes seem motionless. The Doppler Effect is observed as a phenomenon in which the pitch of a sound drops as the sound source passes by the observer. The direction and relative speed of the source and observer are important. This paper describes the concept of Doppler Effect plug-ins and explains how they work and how they can be utilized in music production.

The purpose of this study is to provide evaluation data to examine and verify the effectiveness of the materials through physiological comparison and analysis of the new prototype snowboard deck with the existing equipments. In order to achieve the purpose, blood lactate concentrations and energy metabolic variables were measured from the targeted snowboarders. Five male snowboarders (Slope-style) volunteered to participate in the experiment. The experiment was conducted in slope-style course of “W” Ski Resort located in Gangwondo, Korea. One prototype deck and two existing deck were chosen for analysis. Each subject performed three runs with each “B”, “S” and “Y” deck. Blood samples were collected twice from the finger-tip at rest and immediately after completing the run in order determine the lactate concentration. In order to analyze the energy metabolic variables i.e. heart rate (HR), oxygen uptake (VO2), metabolic equivalent (MET) and total energy consumption (TEE), portable wireless gas analyzer and Polar heart rate monitor was used at rest as well as during the run. The result obtained from the analysis showed increased blood lactate concentration as well as higher oxygen uptake (VO2) at the point of Lactate Threshold (LT) when performing runs by installing “B” and “Y” decks than “S”. Furthermore with the increase in speed, depletion of energy sources as well as increased concentration of muscle fatigue substance also appeared in “B” and “Y” deck than “S” where blood lactate concentration and oxygen uptake are indicators of mobilization capacity of lactic acid system during energy metabolism.

Due to adopting redundant actuation system, force-fight phenomenon appears on aileron’s plane, which would accelerate the fatigue of rudder surface material and loss power. Effective measures must be taken to reduce or eliminate this phenomenon. On the basis of analyzing the control structure of aileron, precisely modeling the control system, and taking system’s nonlinear links into account. The correctness of the model is verified by experiment. Then control strategy of reducing the fighting-force is considered from two aspects of both static and dynamic. The method of using the force equilibrium with pure integral part is to use the integral of each channel’s pressure differential to compensate the displacement control signal; The simulation results show that this method can basically eliminate static fighting-force. In order to reduce the fighting-force during dynamic process at the same time, adopting the PID controller for force equilibrium on the basis of static policy. This method can realize the displacement compensation during the dynamic process. The simulation results show that, after adopting the PID control strategy, the static fighting-force can be eliminated basically, and the dynamic fighting-force can be reduced by about 80%.

Wireless sensor networks (WSNs) are usually deployed in a remote or inaccessible area to be monitored and their duty is to sense raw data and then disseminate them to some remote base stations. It is desired that data transmission is energy efficient and energy consumption is balanced among all nodes so that lifetime of WSNs can be prolonged. In this paper, we propose a novel routing algorithm named energy cost and residual energy oriented (ECREO) for WSNs based on geographical and energy aware routing (GEAR). The ECREO mechanism can not only be used as a flat protocol in small-scale network but also can be integrated in many hierarchical routing protocols. ECREO algorithm takes advantage of the sufficient energy of BS and makes a good tradeoff between energy cost and residual energy. It adopts improved Dijkstra algorithm to find the best scheme. Simulation results show that ECREO algorithm can well balance energy efficiency of each node and avoid hot spot phenomenon. The network lifetime can be prolonged twice based on our ECREO algorithm than other routing algorithms.

The complex network community mining is a multidisciplinary research hotspot. It has been widely used in a terrorist organization to identify, protein function prediction, the metabolic pathways forecast, web community mining and link prediction in many areas. This article is mainly based on the genetic algorithm of the Community mining research oriented edge gene bit fast and effective local search variation algorithm. The algorithm uses a graph-based encoding strategy, the modules function as the objective function, Markov random walk method has certain the community divided accuracy and diversity of the initial population. The experiments show that the algorithm of the search space is effectively reduced, so the search efficiency can be further raised.