Wireless Communication and Network

The following sections are included:

• PREFACE
• CONTENTS

In response to characteristics of differential evolutionary algorithms in solving combinatory problems, this paper investigated different solution encoding and decoding methods and designed feasible evolution operation, designed special crossover and mutation operator to fit in with the specific problem, and initial value is obtained by stochastic topological sorting for permutation-based method. In order to improve the solution quality and the global search capability, local and SA search strategy are integrated to accelerate the convergence of the algorithms. The experimental results are perfect.

By deploying a certain number of sensors to detect the primary user's power spectrum density based on the theory of set two-dimensional pilot pattern in channel estimation, and combined with the definition of interference temperature and singular value decomposition to estimate the interference temperature. Aiming at the distribution randomized of users, the region that there was no detection point, used of interpolation methods to estimate the interference temperature. Theoretical analysis and simulation show that the method can detect the interference temperature effectively at a certain area.

Particle filtering, which can avoid local optimum and achieve better target tracking accuracy under nonlinear and non-Gaussian environment is a typical stochastic tracking algorithm. It establishes a system model based on distance analyzes the particle filter which is applied to single-target tracking system improving the tracking accuracy of the network, builds a performance evaluation system with tracking accuracy and tracking response time. Simulation results show that PF can accurately achieve target tracking, getting a relatively higher tracking accuracy.

This paper introduces the application of the urban taxi ownership forecasting algorithm based on chaotic neural networks. The details of the entire process of its application to urban taxi ownership forecasting algorithm of a certain city are described, including selection and processing of study objects, chaotic characteristics of time series judgment, establishing and training of networks, and the final results of the simulation. The practical shows that the method can make reasonable short-term prediction, provides reasonable theoretical basis to urban taxi development scale.

This article introduces the system architecture of big data security and the idea of realizing active security. In this article, the heterogeneous data fusion problem of big data security is solved by using the method of that converted into text-based form with text description of heterogeneous data structure. The big data mining technology, which is related to the data set, the modeling and algorithm of various intrusion patterns to calculate the probability, mining security risk points, early warning security incident occurred, is discussed. It proposed that big data security is to data acquisition clean up intermediate form of transformation to a text data stream to impact alignment of the security model, weighted arithmetic judged, risk model of the monitoring and intrusion early warning. Looking forward for the future of big data security development of intelligent active security.

The paper mainly aims at cross sensitivity problems in the measurement process with pressure sensor. Cross sensitivity problems are mainly manifested in the following aspects: pressure measurement is affected by target quantity and interfered by non-target quantity synchronously, such as temperature and other factors. New thought is provided for sensor data fusion due to continuous development of artificial neural network technology. In the paper, multi-sensor data fusion algorithm based on BP neural network is proposed on the basis of technology for studying commonly used data fusion methods. Influence of non-target quantity can be eliminated through BP neural network algorithm under the precondition of fully considering non-target quantities, such as temperature, etc., thereby improving measurement precision of pressure sensor.

Probabilistic graphical models has become an important research topic in target tracking. To solve multi-target tracking at sea, we integrate the methods of probabilistic graphical model and particle filter. The method uses second order autoregressive model to increase the effectiveness of particles. To ensure that each target has good discriminative features and the quick and mutant motion of target can adapted, we proposed the diagonal model approach to establish the appearance model of the maritime targets. When the new target position was predicted by the state transition equation, we use the method of Mean-Shift iteration for the resampling particles to show the target more effectively. Experiments show the method can improve the accuracy of multi-target tracking at sea.

Cognitive Radio is a promising technology, which has been applied to the underwater acoustics to optimize the utilization of spectrum and the reliability of communication. This paper reports a design proposal of a multi-frequency modem for underwater cognitive acoustic communication. The structure and function for the physical layer of the modem is described. An engineering application scheme is also proposed to provide a beneficial reference for the field of crack detection of underwater structure.

A new blind adaptive MMSE multi-user detection(MUD) based on subspace tracking is proposed. The new detector doesn't employ interference eigenvalue estimation but the interference subspace estimation, and it avoids performance deterioration induced by eigenvalue estimation error. The proposed MUD exploits the normalized orthogonal Oja (NOOja) subspace tracking algorithm for subspace estimation, since it guarantees the orthogonality of the weight matrix spanned by the interference subspace in every iteration, which must be meet in the new detector. It is seen that compared with the previous subspace-based blind adaptive multiuser detector, the proposed interference subspace-based blind adaptive detector offers lower computational complexity, better performance, and robustness against signature waveform mismatch. The numerical simulation results shows the proposed MUD has faster convergence rate, better output SIR and BER and lower the computational complexity.

With the development of science and technology, wireless location is becoming more and more important in daily life. Unlike prior positioning algorithms, we propose a distance-scale mapping positioning algorithm assisted by the Received Signal Strength Indicator (RSSI) to implement the Real-Time Location (RTL) by mobile Radio Frequency Identification (RFID) tags. Based on the distance RSSI location algorithm estimates, it combines the Circle Positioning Model (CPM) and the reader number for each distance to choose the intersection, and as a result it can get the mobile RFID tag's monitor location. Experimental results show that without adding hardware, the algorithm has better real-time and higher accuracy than RSSI Location Algorithm.

Air density online measurement lidar paraxial imaging receiving optical system is designed according to requirements on high altitude rarefied atmosphere density real-time online measurement. Initial structure form of combining Ernostar objective lens and Tessar objective lens is adopted for the receiving objective lens in the system. Laser backward scattering optical imaging in the short-range 180 mm-3000 mm measurement area is realized under the precondition of ensuring that the receiving system has larger caliber, relative aperture and smaller volume. Aberration analysis results and test results based on ZEMAX software are provided. Results show that the imaging quality of designed objective can satisfy the requirements on online measurement of atmospheric density. Air density measurement precision with the lidar developed by the design institute is higher than 5%.

In order to solve the problems in the measurement of the temperature in the city heating system, such as low measurement accuracy, narrow measurement range, low reliability and so on, this paper presents a measurement system based on PT1000. In this paper, the MATLAB is used to Linearized processing Data collected, which makes the temperature calculation simpler. The IFC algorithm is applied to filter out the large temperature error value, and the data processing is realized. Experiments show that the accuracy of the temperature measurement system can reach 0.2°C which is suitable for many kinds of high precision temperature measurement, and is stable and reliable, and has good application value.

Control of tri-period in a semiconductor laser is studied via injecting series of impulses. Control physics model of a sinusoidal modulated semiconductor laser is presented using an external incoherent light series impulse injection. Result proves that control of triperiod is successfully realized while the laser results in locking at a periodic state or other quasi-period states via adjusting the injection levels or frequencies of the incoherent light impulse. By altering the impulse frequency, the laser is deduced to show a dual-cycle, a tri-cycle, a cycle-4 and a cycle-6. By adjusting the impulse injection levels, the laser is conducted to show a single-cycle, a dual-cycle, a period-4 or other quasi-period. The obtained result is helpfully to study on control-laser and photoelectric system.

This thesis analyzes the main factors which cause sand corrosion of wind turbine based on the erosion of practical engineering; it presents how to reduce sand corrosion by hierarchical coating according to the aerodynamic characteristics of wind turbine blade.

The linear cultural heritage, with the characteristics of a liner distribution and remains, refers to the material and non-material cultural heritage groups in the linear area or belt region which involve special culture resources. The ancient Silk Road in Xinjiang is one of the important linear cultural heritage. Through integration of digital, interactive and other visualization techniques applied to the ancient linear cultural heritage protection in Xinjiang will provide possible to reproduce the former glory of the ancient linear cultural heritage in Xinjiang.

This paper presents an Illumination robust face recognition method. In the proposed method, a novel local image descriptor is proposed to represent face images, and 2DPCA is used to reduce the feature dimension of face image. Experimental results on Yale face database show that the proposed method is of high recognition performance and is robust to variant illumination.

Tin order to enhance the accuracy of the license plate recognition in traffic and speed of recognition, in this paper, the license plate recognition in the process of image preprocessing are studied. The paper discussed the license plate processing algorithm based on image processing, including image gray level and contrast enhancement and binarization process. Through the study of this article, the original collected the color components in the license plate image is removed, retaining only the most useful to license plate recognition of luminance component, reduced the amount of data in the process of the license plate image processing, to improve the recognition of license plate characters identification and speed. In this paper, the research can effectively improve the license plate recognition rate and recognition speed, for control the traffic and stable operation provides an important theoretical support.

Digital fountain code is a new class of forward error correction codes in the field of communication. In image transmission, bit stream is sensitive to the channel noise and even a single bit error may cause the loss of synchronization between the encoder and the decoder. Since coding behavior of LT code is mainly decided by the degree distributions which determine the relationship between source data and codeword, the degree distribution optimization algorithm is proposed to improve reconstruction quality of image. The experimental results are quite promising. Compared with LT code with robust soliton distribution, the proposed algorithm improves final quality of recovered images obviously with the same overhead.

With the development and widespread application of multimedia and network technologies, the protection of multimedia contentssuch as image, audio, and video becomes an urgent problem. As the powerful tool for copyright protection and authentication, digital watermark technology has gained wide attention and development. The principle of digital watermark technology is briefly introduced in this paper, and the copyright authentication scheme which applied in WWW is proposed.

Virtual experimental platform is operated in an open network environment, where a quite number of security vulnerabilities and threats exist. Therefore, in virtual experimental teaching process provided by colleges and universities, it is particularly crucial to conduct valid authentication on identities of users on the platform, especially teachers and laboratory technicians directly related to results of experiments. In this paper, the virtual experimental teaching platform uses identity authentication module based on U-key to realize thorough credit management system and unified authentication management

This paper addresses the estimation of carrier frequency for PSK signals in the presence of interfering signals and noise. The performance of conventional DFT algorithms suffers from severe degradation in the presence of interfering signals. We proposed a new signalselective carrier frequency estimation algorithm for PSK signals based on the secondorder cyclostationarity. The new method exploits cyclostationarity property of PSK signals with second-order cyclic statistics. Compared with the existing DFT algorithm, the new method is highly tolerant to interference and Gaussian noise. The performance of the new algorithm is studied using simulations in a variety of interference and noise conditions. Simulation results show that the proposed algorithm outperform the conventional DFT method in the presence of interference.

The minimum Steiner tree problem has wide application background, such as transportation system, communication network, pipeline design and VISL, etc. It is unfortunately that the computational complexity of the problem is NP-hard. People are common to find some special problems to consider. Since the complexity of the Steiner tree problem, the almost of papers are relate to the object of small data problem, i.e., the number of involved objects is small. Those conclusions are useful to the theoretical research from which some algorithms are originated. For the practical problems, there are large number of objects are need to be considered. How to find the more optimal approximate algorithm is the reason of paper. We want to find the more optimal approximate approach by the analysis of the different cases.

This paper first introduces the characteristics and main applications of real-time spectrum analyzer, and then describes the technical specifications of real-time spectrum analyzer. As the calibration criteria or verification regulation on real-time spectrum analyzer has not yet released domestically, in order to meet customer requirements, according to the technical specifications of real-time spectrum analyzer, referring to JJF1396-2013 calibration specification for spectrum analyzer, as well as based on years of calibration experience of wireless communication testing instrument, we delivered the satisfied calibration services to our customer on real-time spectrum analyzer model N9030A-RT2 from Keysight with option kit RT2.

This paper presents performance evaluation on different priority polling mechanism for emergency communication network. we consider an emergency communication network which consists of a hub station and N common stations, and uses priority polling mechanism with exhaustive + limited service (mixed I service) as well as exhaustive + gated service (mixed II service) in discrete time respectively. By the embedded Markov chain theory and the probability generating function methodology, we derive the closed form expressions of the characteristic parameters for both mechanisms, analytical results have been verified through computer simulations, it reveals that the proposed mechanisms can satisfy the low delay along with the urgent and priority service for an emergency communication network.

There is obvious contradiction between the discrete spectrum resource and the high bandwidth requirement. As the key technology of LTE, OFDM (Orthogonal Frequency Division Multiplexing) technology can effectively avoid the frequency selective fading and inter symbol interface by using the orthogonal carrier [1], which improves the transmission accuracy of shortwave data. However the number of orthogonal carriers is limited in OFDM system. Spectrum aggregation technology is an useful technology by extending discrete bands or multiple continuous bands into a wider band to get more resources[2].It's possible to take advantage of these technologies to improve the system capacity. My work is responsible for researching the hardware and software design of interface between DSP and FPGA in the system based on spectrum aggregation technology and OFDM technology. Theoretical study based on MATLAB shows that the test system can improve the information transmission rate. This experimental system is feasible and effective.

This paper mainly studied networked manufacturing service description, service providers, service requesters and service matching calculation modelbased on cloud computing platform, gives the implementation framework of the resource scheduling model, the paper illustrates the realization of the cloud computing platform (manufacturing resource sharing service platform of small and medium-sized enterprises).

Put forward the system framework, drew the system flow chart and designed the system module, and completed the database design. The system has three modules. It includes information display module, map geographical information module that includes location and back end management module. The information display module can realize the national culture and national characteristics information of tourist attractions, hotels, catering and entertainment information display; Map geographical information module can realize location geographic information, positioning, trip planning and function of searching the nearby. Back end management module has three functions. It can realize information uploading, maintenance and function of information mining.

In all of the routing protocols of Ad hoc networks, GPSR based on geographical information is a robust protocol with broad prospects. GPSR is composed of greedy algorithm and perimeter forwarding algorithm. While there are many packets need to be perimeter forwarded, it may produce lots of hops. This paper analyses perimeter forwarding firstly; and then puts forward an improving approach plus a stack in the memory of each forwarding node. The detailed steps are described in this paper to present the improved algorithm as well. Based on the theory demonstrations, we concluded that the improved algorithm can reduce routing hops and time complexity obviously. Furthermore, it can be implemented easily to improve routing performance. The innovation of this paper is that the time complexity is reduced by adding the space complexity.

The current development status of Geographic Information industry in Beijing and three representative companies are analyzed in the present paper. Core competitiveness, profit data and their future development strategies of the three companies are analyzed and studied with the purpose of making countermeasures and suggestions for the future development of Geographic Information industry in Beijing.

This paper presents a novel miniature ultra-wideband (UWB) bandpass filter, including its design and simulating calculation. The novelty of this filter is the input/output (I/O) couplings by lumped capacitors instead of traditional coupling methods by parallel transmission lines or tap lines. The proposed filter consists of a stub-loaded multi-mode microstrip resonator and a pair of lumped capacitors, which symmetrically located at the I/O ports. Lumped capacitor coupling structure is convenient to realize the tight coupling as well as miniature size, which are key to wideband filters. The proposed UWB filter complies with the FCC regulations on frequency mask from 3.1 to 10.6 GHz for commercial UWB wireless networks.

In wireless communication systems, frequency-hopping spread spectrum is one of two main spread coding technologies. Frequency-hopping sequence plays an important role in frequency-hopping spread spectrum systems. In this paper, a new class of FHS based on Cyclotomy is constructed. The new FHS has new parameters not covered in the literature. It is shown that the new FHS is optimal according to the Lempel-Greenberger bound.

The non-destructive testing of physical parameters of rock and soil inside various types of geotechnical structures is an important basis for quality control, safety assessment and life prediction, because of works' concealing, medium's complex and the limitation of test means, so that the work has been challenges in the field of Civil testing. With the maturing of wireless technology and the sensors' digitization and miniaturization, Bluetooth low energy technology is introduced and has a good adaptability in testing for the harsh environment. In this paper, we designed a wireless temperature and humidity detection device based on Bluetooth Low Energy for the subgrade soil temperature collecting in the season of permafrost, it makes the thinking to sample the internal physical parameters of the concealed works dynamically and non-destructive has come true. The test results showed that the test system is stable and reliable, the test results are authentic, and the means of testing is simple, the research results have certain prospects and promotional value

Interacting multiple model method (IMM) is an effective algorithm for maneuvering target tracking problem. However, IMM algorithm may encounter some difficulties in model number and type selection for the three-dimensional (3-D) strong maneuvering target tracking problem. This paper proposes an improved algorithm named interacting multiple model algorithm of parallel model set (PIMM). This algorithm runs two model sets in parallel, which the maneuvering motion and the non-maneuvering motion forms of the target are fitted respectively. Then it chooses the optimal model set filter results to output by comparing the model probability. Simulation results provide support for the effectiveness of the proposed algorithm.

With the improvement of wireless communication technology, wireless sensor networks have been strongly focused on by scientists. Cellular network can control and manage WSN. It can also provide additional efficient data transmission and reduce energy uses. In this paper, I propose a WSN efficient handover scheme based on WSN-cellular Networks convergence system. In the end, we compare the performance between handover scheme based on IEEE 802.15.4 and the handover scheme proposed with MATLAB.

Wireless communication is the primary communication means of combat surface ships at sea. Wireless communication system urgently needs to be improved since it is easy to be interfered and has low reliability and low dynamic networking capacity. Making scientific evaluating to the solutions of wireless system is the primary task of system modification. According to the problem of massive indexes, strong correlation between indexes and inconsistent dimensions, the ANP method abstracts the correlation between indexes into network structure. The correlations between indexes are fully discussed, and the subjective human factors are effectively avoided. The MAUF method transfer index data into evaluable parameters using utility function according to the operational requirement of each index. Through the integrated use of ANP and MAUF methods, 5 system solutions are scientifically evaluated, and the result is true and reliable.

In this paper, we discuss the statistical inference and acceptance sampling plans of exponential distribution by considering Type-II hybrid censoring schemes. We derive the exact conditional distribution of the maximum likelihood (MLE) as well as the exact confidence intervals for the scale parameter of exponential distribution. We also propose some other methods to construct the confidence intervals. For example, the asymptotic method.

Aeronautical Ad Hoc network has characters of high mobility, large scale and long distance. For clustered ad hoc networks, the intra-cluster take TDMA-based scheme in order to improve channel spatial reuse and reduce collision. But impacted by channel fading effects, different links have different levels of channel quality since the communication distance moved in a large range and the communication state changed in a highly complexity environment. Furthermore, the quality of the radio channel directly affects the probability of success transmitting a packet over the link. According to these characteristics of aeronautical Ad Hoc networks, a new dynamic resource allocation strategy based on channel quality was proposed. The scheduler first allocated time slots to nodes with low bit error rate in its channel. Simulations demonstrate that, compared with F-TDMA and CSMA protocol, the proposed resource schedulers provided dramatic improvements in both the average throughput and delay.

Cloud computing has gained greatly development in recent years. As the rise of mobile devices, people tackle their daily data with mobile devices more frequently, mobile clouds constructed. Access models in traditional cloud have more limitation and challenges. Researchers proposed more schemes to solve problems in mobile cloud access. In this paper, we introduce challenges of access model that based on RBAC and encryption method especially in mobile cloud computing, summarize efficient solutions of recent researches. Finally, introduce applications of mobile cloud computing in several areas.

The near-ground propagation of impulse radio ultra-wideband (IR-UWB) is an important issue in the application of Wireless Sensor Networks (WSN).In such environments and scenarios, the main characteristics including low antenna height, long communication range, reflection and diffraction of the ground. Using the sub-band time domain method, the simulation models were put forward. The pulse waveform distortion characteristics were simulated. According to the numerical calculations, the influence of the ground reflection and diffraction were analyzed. The simulation results could provide the basis for the communication system design and guide the application of the UWB technology.

In this paper, the method of optimizing pump allocation has been presented for bidirectionally pumped Raman amplifiers, and coupling interaction, among pumps, signals, ASE and DRBS noises, has been simulated; By optimizing pumps' wavelength and optical power, gain and noise spectrums have got flat at the same time.

In order to optimize high-order cumulant blind equalization algorithm, in this paper we propose an improved algorithm which can optimize the SW criterion with genetic algorithm and improve the algorithm performance with the global and fast convergence of genetic algorithm. Computer simulation results demonstrate that the improved algorithm has good convergence performance and error symbol resistance performance.

The blind equalization algorithm takes advantage of the prior information of the received signals to equalize channel, overcome the introduction of “training sequence” and improve the equalization efficiency. The paper puts forward blind equalization algorithm of constant norm applicable for high-order QAM signals, which takes advantage of the reuse technology of small sample to redesign weighting coefficient of equalizer to improve the convergence efficiency and reduces greatly the steady state error of system without making algorithm more complex. The paper further verified the effectiveness of algorithm through the comparison simulation analysis of blind equalization algorithm of underwater acoustic channel.

Radio frequency (RF) communication coverage using regular hexagons in wireless passive sensor network (WPSN) is discussed in this paper. The required transmit power of RF sources for effective communication is determined and analyzed in terms of the number of RF sources, the transmission frequency of RF sources, network size, RF source and sensor node characteristics. Simulation results show that, the required transmit power is proportional to the transmission frequency of RF sources, network size, communication range, and inversely proportional to the number of RF sources. The analysis developed here can provide theoretical basis for the design and application of WPSN.

Provided that a large number of tags exist within the antenna coverage range of RFID reader, generally RFID system will fail to read all the tags. That RFID system is incapable to realize tag groups read leakage-proof, the popularization and application of RFID will be severely obstructed. In the paper, by increasing the number of antenna in the RFID system, the read blind area of RFID was eliminated, DRICA was designed on the basis, and tag groups identification leakage-proof in the RFID system was realized.

Wireless Network has become very popular in industry, business, and our everyday life. However, wireless networking has many security issues because of opening commutation environment. The attack from the network is the main threat of security, while the network attack uses all kinds of technique and means with the purpose of getting available information or destroying system. In this paper, we analysis the wireless attack threats, as much as possible describes detailed the characteristics and operation principle of those threats, and give some useful suggestions to use wireless networking safely.

How to get the structure information for software testing is always complicated and obscure, especially for binary software. With the IDA Pro, we implement software structure analysis using complex network theory. Through embedding the software into multidimensional network space, we find only 20% functions and modules plays an crucial role in testing generally, so that the testing workload can be greatly lightened. Some valuable features extracted from the network model assist to improve the testing effect.

Sparsity order estimation (SOE) is critical so that the sampling rate can be adjusted adaptively for purpose of exploiting fully the potential of CS-based techniques. This paper presents an effective SOE method. Via random matrix theory, the theoretical expression of the sparsity order of considered sparse signals is given. According to the theoretical expression, a trace-based SOE algorithm is proposed. The proposed SOE relies on the trace of measured signals' covariance matrix, the number of primary user, compression sampling ratio and SNR. The proposed method not only has a lower computational complexity, but also exhibits some superior performance, such as better robustness to sparsity order change, smaller sparsity order estimation error (SOEE), etc. Theoretical analysis and simulation results verify the performance of the proposed method.

In various of teaching activities and propagating activities, it is inevitable that some listeners in certain locations cannot see or cannot see clearly the details of the actual object which are explained so that it impacts understanding effectiveness deeply. In this paper, an portable round display device is introduced. Just with placing the mobile phone in the phone clip, images of actual object could be obtained using the phone's camera. Wireless transmission equipment HDMI transmitter sends the audio and video signals from phone's camera to projector screen. Images of detailed instruction activities are projected clear onto a screen. The main part of the display device is composed of linkages structures, in which main shaft is droved by motor that is fixed on transmission case. Multi-angle observation position of actual object is realized. The all-round display device is simple and practical, as well as it is easy to carry and operate.

In this paper, we use the received coefficients to compensate each of the erased coefficients from canonical dual frame. A frame vector is not always orthogonal to others because of redundancy of frame. So erased coefficients can be compensated by using the remaining non-erased coefficients. Moreover, we can select some subset of non-erased coefficients for compensation to reduce the computational complexity. In addition, simulation experiment shows that the reconstruction result obtained with compensation is better than the result obtained by using optimal dual frame.

The advantages and disadvantages of the tropospheric scattering communication are introduced. A novel way to overcome the disadvantages is proposed. The fundamental of the novel way is explained. It is qualitatively proved that the novel way is feasible.

Multi-hop communication will become an important technology to reduce energy consumption and prolong network lifetime in wireless sensor network(WSN). One of the major causes for energy consumption is the radio transmission energy, which is proportional to the 2nd or 4th power of the transmission distance in general. Communication between two nodes can be further broadened to multi-hop communications in which a node may help other nodes communicate with each other. In this paper, we research a scenario of multi-hop communication where one node may help other node to transmit data. We derive the average energy efficiency under Rayleigh fading channels, and compare with single-hop communication.

Carrying out scientific data management and sharing service is both an opportunity and a challenge for special libraries, which makes it possible for special libraries to occupy the unique strategic resource - scientific data and the library work to integrate into the creative process of research activities. It also promotes the development of the discipline of library information management. Libraries, with the advantages in resources, storage and knowledge, should play the role of advocates, researchers, planners and practitioners in the large scientific data management and service. However, they must cope with the challenges from concepts and talents when facing opportunities. The author and the team carry out useful practice and exploration on scientific data management and services, conduct researches on scientific data management policy and mechanisms, establish a knowledge base as well as the Beijing Crop Germplasm Resources Network Information Platform to carry out comprehensively scientific data management and shared services, which lays a foundation for the establishment of Beijing Agricultural Science Data Center.

This article discusses the background, nature and application of smart city prototype implementation and architecture. Discussion focuses on environment infrastructure and application technologies, including city planning, big data from maintenance of better life. Managing data for these thematic domains in a cloud environment provided the opportunity to process data from various sources and analyzed it in acceptable application framework. Challenges and requirements of smart city applications are due to tools and methodology of cloud computing dealing with. The aim was to pose a perspective on how these challenges can come true in using ICT, manage services intelligently and analyze the urban challenges big data of smart city with incorporation a proper smart grid and cloud architecture.

A real-time multitask On Board Data Handling System (OBDH) based on VxWorks embedded operating system is presented in this paper. First, we analyzed the function of OBDH that maintains the satellite's normal operation. Then we described how to design a modularized OBDH with the characteristic of high cohesion and low coupling from 3 aspects, the design of data flow between OBDH and other subsystem, the design of OBDH framework and the format design of packet transmitted on board. In addition, we implemented the OBDH through multitask mechanism, message queue (MQ), direct memory access (DMA), multiplexer (MUX) interface function and flash storage management. The simulation results show that OBDH realizes high-speed and reliable data transmission on board with the average rate of 123 Mbps.

With the progress of IT technology, business intelligence analysis is become more important and has been paid more attention. Based on business intelligence technology, this paper studied statistical development on column traffic from interface framework, interface design, data change logicality, source data capture and source data process. In one year of Beijing Great Wall Platform's trial operation, it is found that this development is so useful that this platform's column traffic has been shown a slight increase.

Sentiment analysis in E-commerce depends on the expert knowledge, so it difficult to make effective latent semantic analysis. In this paper, a new data-driven strategy is proposed for sentiment analysis, which composes of two independent semantic levels, namely the lower semantic level of a word in the word category, and the higher level of the word in the whole emotional context. Then by the results of text sentiment analysis, the relationship between the two levels can be further analyzed in the sentiment classification process, which is described and verified by an example.

Mobile learning is a new learning model in time of the mobile Internet 4g, the characteristics of its convenient and efficient, make the learners can make full use of fragments of time to study, to make up for the remote education exist limitations on realizing the lifelong education. In this paper, according to the scale of mobile users in China and abroad in recent years and the growth rate of the data on the present situation, the development of mobile learning, patterns, and the existence question has carried on the preliminary study.

Will employee attitudes toward the service encounter process influence customer satisfaction? This study investigates employees' job satisfaction and organizational commitment responses to organizational service orientation to answer this question. Employees in three different ownership service organizations contributed data, which were analyzed using Simultaneous Equation Models methodology by multiple regression analysis. The authors found that service orientation influences employees' job satisfaction, organizational commitment, and customer satisfaction significantly. The mediating role of organizational commitment was supported but the mediating role of job satisfaction was not supported.

After the China-ASEAN Free Trade Area officially launched in 2010, China and ASEAN financial cooperation has achieved some results that regional economic growth has a significant increase and economic ties become increasingly close. As the difference of economic developing and complication background of political and cultural China - ASEAN regional financial cooperation should develop gradually according to the actual situation. For these reasons, this paper take an empirical research on China - ASEAN regional financial cooperation and economic growth, obtaining financial indicators which significant impact on bilateral economic growth, putting forward some suggestions on how to improve the level of regional financial cooperation.