Abstract:In some moving object detection process, it needs to automaticly judge whether it has detected the moving object, although there is no moving object in the current scene, detection result wrongly judges that it have detected the moving object. In order to find the source of the error, optical flow disturbance effect is found through experiment. The optical flow disturbance effect detection algorithm is designed, and the effect of optical flow perturbation is clearly detected. Next, through the binarization method of image it eliminates optical flow disturbance effect. The ideal results of the moving object detection are obtained. This research proves that the optical flow perturbation effect exists in the space, which can cause interference to the detection of moving object. It also can eliminate the effect of optical flow disturbance and improve the accuracy and reliability of moving object detection and judgment.

Abstract:Learning effective feature representations and similarity measures are crucial to the retrieval performance of a content-based image retrieval system. In the past, the system works on the low-level visual features of input query image, which does not give satisfactory retrieval results, so, despite extensive research efforts for decades, it remains one of the most challenging problem in computer vision field. The main problem is the well-known "semantic gap", which exists between low-level image pixels captured by machines and high-level semantic concepts perceived by human. In the past, the content-based image retrieval system only works on the low-level visual features, which cannot solve "semantic gap" issue. Recently, the fast development of deep learning brings hope for the issue. Deep learning roots from the research of artificial neural network. In order to form more abstract high-level, deep learning combines low-level features, finds the regularities of distribution, which is different from other algorithm. Inspired by recent successes of deep learning techniques for computer vision, speech recognition, natural language process, image and video analysis, multimedia, in this paper, we apply deep learning to solve the "semantic gap" issue in content-based image retrieval.

Abstract:Geographical information is a kind of special information, with the characteristics of regional, multidimensional and dynamic. Understanding of certain phenomena could be more intuitive and specific with the effective analysis and using of geographic information. It also can bring convenience to human's production and life, and provide decision supporting. Fuzhou University City is chosen as the study area while college students in it are selected as target population in this paper. Geographic information of the region is obtained and adopted for the service platform's designing with the aim to improve the quality of college students' life, extending diversity and integration of the social ways (contact social type and non-contact social type), enhancing the communication between universities and college students. Before the development of the platform, the related information of the university students in Fuzhou University City was investigated through the electronic questionnaire, and the results were analyzed. Finally, the functions were determined, outdoor navigation, indoor navigation, online social, offline social, memory trace, paths' automatically update, paths' recommendation, "the past events reappear" and some other functions can be provided. During the development process, some involving technologies are studied and experiments are carried out.

Abstract:A partial sampling strategy was recently proposed to make the computational complexity of the unscented Kalman filter (UKF) quadratic with the state-vector dimension. However, the quadratic complexity remains a thorny issue in the large SLAM. To solve this problem, this paper presents a filtering solution for the SLAM problem called shrink unscented Kalman filter (S-UKF). It firstly proves that equivalence of the whole and partial sampling strategy for the decoupled nonlinear systems. Then a shrink form is presented by reconstruction the cross-correlation items to reduce the computational complexity. Finally, the simulation results and experimental results based on real environmental data sets validate the effectiveness of this method.

Abstract:By mining the effective information hiding in the massive GPS track data of taxi, it can analyze the characteristics of taxi passengers, the urban traffic manager and the taxi industry manager can make decisions in urban transportation planning, urban traffic flow equilibrium and vehicle scheduling. Based on Spark big data analysis platform, YARN as resource management is chosen and HDFS distributed storage system for taxi GPS trace is used for data mining, a variety of information related to taxi is extracted. The mining algorithm based on Spark platform is given, which includes the distance distribution of taxi passengers travel, the time distribution of taxi usage and the demand of taxi travel. The experimental results show that the proposed method based on Spark platform can quickly and accurately analyze the characteristics of taxi passengers travel.

Abstract:Because the scale of EPON network increases rapidly, it is required to design an EPON network topology management system in order to improve the management and maintenance of EPON network, which can intuitively display the EPON network topology structure, the network working status and alarm in real time. Firstly, the design and implementation of topology management system is introduced. The designed system is divided into structure of three levels including acquisition, processing and view. The acquisition layer employs the TL1 communication protocol mode to get network information. The processing layer uses B/S structure and processing system is based on MVC model. The GUI of display layer employs HTML 5 Canvas tag to display the topology relationship. And finally, through constructing the test environment, it proves the design is feasible and effective.

Abstract:The MIMO communication system can improve the data transmission rate and spectrum efficiency without increasing the bandwidth and power of system. Each transmitting antenna is allocated a single user in the conventional MIMO communication system, which can improve the channel capacity and the number of user through adding the antenna. It equals to allocating different user to different transmitting antenna. For the transmitting antenna, on the one hand, it would increase the system complexity, on the other hand, the fact that only a single user is allocated on each transmitting antenna is a waste of resource. Therefore, multiplexing multiple users on the antenna is the development trend of MIMO system. For this, we put forward an optimal MIMO system of connecting a virtual space-time channel module to transmitter. It can adaptively adjust the parameters of the module through the feedback information, and optimize the wireless channel, and improve the communication quality of system for the same data transmission rate and increase the data transmission rate for the same communication quality of system. The experiment and simulation shows that the improved MIMO system can improve data transmission rate of 50% at least for a 2×2 MIMO system.

Abstract:The hardware-based physical-type "electronic guide" devices is inconvenient and difficult to use and maintain, issues that rental prices for tourists are not easy to accept, system is limited to hardware install, difficulty to upgrade and other problems; their alternative products currently on the market that is common navigation software, there is a problem of incomplete information in remote locations, resorts can not provide specific characteristics of service problems, and legacy systems integration and other issues. In order to solve the aforementioned many drawbacks for a regional tourist attractions, this paper proposes integrated solutions based on smart phone platform+back-end services, providing scenic location services, real-time navigation, search attractions, tourist groups, route planning, route recommendation, the new "intelligent tourism" specific method convenient services, it designs a useful and flexible front-end applications App; while cloud services technology and back-office services layered design combines with the scenic tradition of tourism business and everyday carry perfect correlation smart devices, and designs a distribution layer, through the message queue to manage, distribute various hierarchical interface information so that the operating efficiency of the system architecture, post-maintenance, scalability is greatly guaranteed. Through the specific engineering practice, the validity and effect of the actual operating system is proved.

Abstract:This paper mainly introduces the construction scheme of mobile application center and the specific technical route, based on "cloud services" model, under the Chinese Academy of Sciences large-scale distributed scientific research management system-ARP system environment. In addition, for the key problems in the construction process under distributed environment, such as the "cloud" services function data obtain mechanism, data access safeguards, user authentication mechanism and other aspects, it carries on the key elaboration.

Abstract:The CNC System with standardization HMI, mostly presents the same kind of form and cannot meet customer and dedicated CNC System's special requirements. Based on the analysis of the user interface customization demand, this paper designs a visual secondary development platform for the CNC System HMI based on Qt Graphics View Framework and model/view architecture. Firstly it registers components to platform and binds the corresponding property objects by using the object oriented secondary development method then completes the interface customization through the parameterization. Finally it uses the XML file as the configuration file to describe the graphical interface and transfer data between platform and CNC System. The secondary development platform mainly includes two modules which are PC configuration platform and NC analytic platform. The experimental results show that the platform has achieved good results in the special customization and reuse of CNC System's HMI, and the development efficiency of HMI is improved.

Abstract:This article is based on one enterprise collaborative product development management system. According to the actual needs of the enterprise, cross-domain component design and implementation are described. This article focuses on cross-border and countersigned outland task scheduling. Finally, this article proves that using the synergistic component can achieve synergies with other units of the inter-domain based on drawing document or product structure. By cross-domain information sharing, it improves the efficiency of research and collaboration between units over a sample.

Abstract:In consideration of the problem that useful information cannot be easily extracted from various types of long noncoding RNA (lncRNA) data, this paper proposes a visualization system of multi-source lncRNA data based on generic genome browser (GBrowse). The system mainly includes a web server including HTTP service and GBrowse components, and lncRNA data storage which supports flat files, MySQL, SQLite and other types of databases. The main steps of constructing the system include GBrowse installation and configuration, multi-source lncRNA data collection, preprocessing, storage, and access and visualization configuration. A demo system is constructed by firstly collecting six sets of human lncRNA data, including human gene annotation, genome sequence, histone modification H3K4me3 signals and their loci predicted, signals of transcription factor CTCF binding sites and their loci predicted. After preprocessing, these data are stored by databases such as MySQL, SQLite and so on, and data access and visualization methods are also configured. The experiment results demonstrate that multi-source lncRNA data can be integrated and visualized within the GBrowse framework, and be showed in the genome spatial space simultaneously, which can make researchers observe the lncRNA data more intuitively, thereby helps to produce novel scientific hypothesis.

Abstract:OSG multi-touch natural user interface framework is based on the Windows multi-touch technology, in which the management and processing of touch event combines with OSG event processing mechanism, and forms the OSG multi-touch operation framework. According to the raw data that is produced by user's finger through touching screen, it defines the gestures needed, and combines it with interactive event processing in OSG to complete multi-touch for interactive operation in 3d scene. Based on the above framework, this paper analyzes the major operation tasks in 3D user interaction, defines the interactive gestures that conform to cognition of the 3D spatial operations, and designs the recognition algorithm of the related gestures. Finally, through developing an application example, the correctness and feasibility of design and cognition of multi-touch natural user interface framework in OSG are verified.

Abstract:In view of the present market covers distribution range, variety, and covers are stolen after we set out to solve such problems from the aspects of material manhole and design of guard against theft, covers losing dose not timely position the stolen manhole cover and timely repair, extremely it is easy to cause safe sequel, for this issue a real-time monitoring and positioning function of the manhole cover remote monitoring management platform system is designed. Manhole cover remote monitoring and management platform mainly includes manhole cover, manhole cover management and state display function, adds a GIS map reporting each manhole cover position, realizes the manhole cover and the map matching, the manhole cover state information of query and management, abnormitycan be achieved through alarm. Experimental results show that the design can accurately position the manhole cover, maintain and alarm the covers of each state's information, check the inspection history information. It solves defects in the technical aspects of the problem of stolen covers at present. It is a breakthrough of the manhole cover anti-theft mode. It is in a timely manner on the stolen manhole cover repair, and can quickly solve the security problems.

Abstract:EAST (Experimental Advanced Superconducting Tokamak) real-time VOD (Video on Demand) system based on Web can display the plasma discharge videos, search videos, download videos and analyze videos frame by frame, which is improved and optimized based on the old VOD system. The system mainly includes two parts:the application of video synthesis and the VOD web station. The video synthesis application accepts shot information by using socket TCP communication firstly, then moves video frames through sharing directory, finally synthetizes videos with the tool of ffmpeg. The VOD system is implemented through B/S (Browser/Server) framework. It uses JSP to realize VOD function by reading shot information from database, and analyzes videos frame by frame by combining XML and JavaScript. The system has been already used in the EAST experiment, which is of great benefit to EAST experimenter.

Abstract:The necessity of constructing risk management and control system for safety production in electricity production enterprise is analyzed, and the design framework of the system is introduced. The dynamic risk management model based on Bayesian network is put forward. Bayesian network structure and parameters are also built after risk factors identification and evaluation. Based on these, the risk assessment and risk diagnostic for safety production are carried out. Finally, the risk is controlled in accordance with the result. This system could meet the needs of safety supervision and management in electricity production enterprise.

Abstract:The video player of the city monitoring networking platform is researched, and a new multi-function video player is presented through analyzing the advantages and disadvantages of the existing video players. This player is a mode of Internet-based B/S video player which bases on VLC architecture, and is achieved by combining C# ActiveX control technology with streaming media technology. The practice proves that this video player greatly improves the efficiency of security, and reduces the waste of manpower, with better use value and application prospects.

Abstract:Reporting service is one of the core business requirements in the water environment managing system of Liaohe River Basin. With the expansion of the scope of the water environment management and the diversification of the demand for reporting service, the existing decentralized statements management methods can hardly satisfy the user's actual needs. Aiming at reporting actual business needs problems in the heterogeneous system and binding SOA architecture model's characteristic of loosely coupled, reusability etc., this paper proposed a reporting management system based on SOA architecture. According to analyzing the business core functions and processes, the corresponding service model is established. Based on the composition of different services and calling, this paper implements the reporting management system which supports multi-system concurrent accessing.

Abstract:Traditional video image data processing usually requires software, but there are some problems, such as heavy workload and long storage time. To solve this problem, this paper proposes a hardware process configuration based on FPGA, to improve the processing speed of the system and real-time. For the image processing problems, it uses the background subtraction to detect moving targets and remove the static scenes from images by Binarization, then does morphological filtering to eliminate voids and noise points, finally, extracts the target center to achieve the purpose of detecting moving targets. It joins sobel edge detection module at the same time, extends moving target detection architecture. According to the shape of the object and its path of movement, system can identify objects and categorize their test results when detects the target. In addition, for some specific environment, it sets the appropriate restricted area, when the center of the target is into the restricted area, makes the appropriate judgment. After the hardware design and Verilog HDL program is completed, doing simulation in Modelsim can get the right target detection results.

Abstract:The construction method of field relevance is a difficult problem in the Web data generation. A new algorithm for fields' priority relevance based on maximal information coefficient is proposed. The algorithm is completely different from the existing method. Firstly, the maximal information coefficient between the appropriate fields needs to be extracted from real Web log data. Then, combined with the field of heavy tailed characteristics, the field is modeled by stretched exponential distribution. Finally, real data's field dependence is simulated by the fields' relevance model, so as to generate a realistic target data set. The experiments show that the generated data sets can maintain a reasonable balance between the fields and the similarity between the nodes.

Abstract:Resource scheduling is a key technique for container management. Prior work or meets the goal of fairness, the work load average is scheduled to all physical nodes, pays attention to the throughput indicator; or to meets performance targets, multiple carrier scheduling the workload related to physical nodes in the same or similar, pay attention to the response time. In this paper, it presents an application-aware resource scheduling approach, and employs a multi-queue model to meet both fairness and performance targets. Experimental results show that the approach has equal throughput for typical big data processing scenarios, and can reduce latency by up to 100% for typical transactional application scenarios.

Abstract:Vertical search engine of the ministry of agriculture needs to collect the market price data of agricultural products in various years from all over the country. It can not be avoided that the massive agricultural market price data has abnormal price point, which has an impact on the analysis and forecast of the agricultural market price. It needs to be solved to find market price data outliers and calculates the price boundary. Therefore, on the basis of the traditional data mining clustering K-means algorithm, this study achieves the outlier data detection and calculation of the boundary of the price of agricultural products, test and practice results show that the method improves the clustering accuracy and stability and achieves the calculation of the price of outlier detection and border price.

Abstract:An improved Canny operator is proposed through researching and analyzing the data of the grey image with statistical principle on the basis of deep analysis of traditional Canny edge detection operator. Compared with the traditional Canny edge detection operator, improved Canny operator replaces the original grey value of pixels with average value of similar gray level around the edge points and introduces a kind of adaptive method to determine the high and low threshold value. Applying the improved Canny operators to the robot vision system. The experimental results show that the improved Canny operator can balance the relationship between noise and edge information and extract the edges of the measured object better over the traditional Canny operator.

Abstract:In smart home based on speech recognition, the corpus used for training is not complete and the application scenario is complex. Besides, the false acceptance rate of natural language speech recognition is much higher than that of small vocabulary speech recognition. During the procedure of designing and trying to implement smart home system based on natural language speech recognition, the author makes an intensive study of the MAP, MLLR algorithm based on the role of HMM acoustic model parameters. This paper presents a comprehensive adaptive method, based on which the author completed the system by using open source tools CMU SPHIN. The experiment result shows that the presented new adaptive algorithm is feasible and effective, and makes the system performance better in different scenarios.

Abstract:In this paper, we study data mining of the antimicrobial drug based on immune genetic algorithm. The accuracy of traditional approach for data mining is poor. The immune genetic algorithm technology, which is applied to the data mining of antimicrobial drug can improve the accuracy and timeliness of data mining. Data mining provides a new idea for the effective analysis of the relationship between the disease and its occurrence regularities, which helps better curing the disease and improving the treatment effect. By immune genetic algorithm, it analyzes and mines antibacterialdrug data in HIS, and obtains the rules and trends of potential, which gradually establishes the diagnosis knowledge database of antibacterial drug. According to the doctor's order data of HIS system and autonomous learning and updatding the knowledge database, the approach provides a reasonable assistant decision for doctors to treat patients.

Abstract:Image filter is the method for image pre-processing in many image processing algorithms. Since, median filter not only can smooth image noise, but also can hold the image edge, it becomes the most used method in image filter. Median filter needs sorting operation, its time complex is very high. When filter window becomes larger, median filter will need more time, it cannot be used in large image real-time processing. Based on the median filter research, a faster median filter algorithm which is based median division is proposed. The proposed algorithm can reduce filter time effectively, especially in large scale image, when filter window is large, it becomes more remarkable. Compared with the traditional median filter algorithm, the proposed algorithm filter result can hold the preference as same as the traditional median filter algorithm, and it can be used on gray and color image. The experiment shows that the proposed median filter algorithm not only speeds up image filter speed, but also improves the real-time of image processing.

Abstract:The traditional way of calculating word semantic similarity is based on wordnet structure, which has a huge gap between physical concept and abstract concept, and only considering concepts' hyponymy. To solve the problem, a novel word similarity calculation algorithm based on traffic field words relation network is proposed in the paper. 10 kinds of concept relationships, including concepts of hyponymy, tool-tool object relationship, standard parts-overall and so on, are used to build traffic words knowledge network. Then modified average path length parameter is used to calculate words' semantic similarity, which accords with people's judgement. The experiment based on Finkelstein's 353 word pairs shows that the algorithm achieves more accurate word semantic similarity.

Abstract:Public transit system plays the central role for traveling in cities of China. Therefore, it is important to study the accessibility provided by public transit. However, public transit influences accessibility in unique ways, which depends significantly on the routes, schedule, location of the users as well as the time of day the trip is made. Existing researches scarcely establish high-resolution spatio-temporal models, calculate travel time accurately, consider the time constraint, or achieve large-scale accessibility analysis. This paper establishes a high-resolution spatio-temporal model based on road network, bus network, metro network and schedule information, designs an efficient time-dependent transfer algorithm combining Hub with A^* Algorithm. To demonstrate the reliability of the model and the efficiency of the algorithm, a case study is presented with respect to mapping accessibility of public transit in Wuhan.

Abstract:With the development of Internet, text information, such as product review, increases rapidly. The mass text information makes it more difficult to make artificial management. Considering that product reviews are short text, this paper comes up with the method of word vector superposition and weighted word vector. In the result of sentiment analysis, the method is proved effective. Emotional analysis technology can solve the difficulty of artificial classification in the mass of product review, and help users to get information quickly.

Abstract:The "last mile" in logistic is the terminal link of logistic service for users, and directly affects the efficiency, cost and service quality of logistic. This paper presents a solving method based on lifting cabinet for the "last mile" in logistic (this problem). Based on the concept of gradual service radius, and the relationship between service satisfaction and distance from the demand point to lifting cabinet, this paper proposes a mixed integer programming model for lifting cabinet's location problem. Moreover, this paper designs a heuristic Lagrange's relaxation algorithm by taking into full account of the various constraints factors to solve the model. Finally, illustrative examples further analyze the number of iterations, iteration times and other indicators, which show the correctness of the results in this paper and the good performance of the proposed method.

Abstract:In order to effectively remove salt and pepper noise and protect image details, this paper proposes an improved algorithm based on the extreme value of salt and pepper noise filtering. Firstly, the algorithm detects noise, each pixel is classified to be possible noise pixel and signal pixel, and the value of possible noise pixels is near 0 and 255, and does not constitute 5 pixels or more straight points, the remaining points is as the signal point. Then, the noise filtering is taken, in order to protect the image edge details, or thread, signal pixel without any treatment, and the noise pixels using the gradient method for processing. The experimental results show that the new algorithm not only can effectively remove salt and pepper noise, and effect made in detail preservation is superior to traditional median filtering algorithm.

Abstract:Aiming at 3D mesh data model of Terracotta Warrior blocks, a block fracture surface matching algorithm based on feature contour is proposed in the paper. Firstly, the data model is pretreated, such as texture map, data denoising, hole filling, data model simplification and so on. Secondly, the primary contour and secondary contour are extracted, and then the feature contour is extracted too. Lastly, the feature contour is segmented according to the corner point in order to match the feature contour by the longest common subsequence method, then the contour feature matching is completed, and the fracture surface matching is achieved. The experimental results show that the algorithm proposed in the paper is an effective and accurate Terracotta Warrior blocks matching method.

Abstract:As one of the most widely used algorithms in recommender system, the traditional collaborative filtering algorithm faces serious data sparseness problem in the big data trend, which leads to the ineffective in nearest neighbor selection, and restricts the performance of the algorithm. To address this problem, this paper proposes a collaborative filtering algorithm based on user partial feature(UPCF). In our method, it first rates the missing values based on rating bias and item popularity; and then clusters the items in the filled matrix with a K-means clustering algorithm of meliorated initial center. At last, it uses the user-based collaborative filtering algorithm with the user feature in item class to get the recommendations. The MAE measures on the MovieLens dataset shows that compared with the current popular algorithms, the performance of our UPCF algorithm improves about 10% without any increase of algorithm complexity.

Abstract:In order to improve red-green color blindness' ability of distinguishing colors, this paper introduces a partial rectification of color blindness based on image-segmentation. An emulation method of color blindness is studied first; then the original image is segmented by K-means cluster algorithm and Hierarchical cluster algorithm. Then, it calculates Euclidean distances of each region in LAB Color Space as the metric of color similarity, and confirms which color regions are hard to distinguish by red-green colorblindness. Finally, the region is replaced by other color with the same brightness and a higher degree of differentiation. With the test of the algorithm on Matlab platform, the result shows that this method can improve color blindness' ability to distinguish colors and it performs better than other existing methods in reducing cognitive deviation of color.

Abstract:A novel algorithm based on chaotic genetic operation is presented in this article to improve computation precision and convergence rate of original artificial fish swarm algorithm. With the chaotic disturbance increasing in fish swarm genetic iteration, the trap of local extremum is avoided, while the optimization effect, computation precision and convergence rate are also improved. Simulation result shows it works well and plays the specialties of genetic algorithm and fish swam algorithm.

Abstract:In recent years, broadband access is developing with astonishing speed. At the same time, the mobile Internet technology is also increasingly mature, instant messaging business have become a hot point of the era of mobile Internet applications. XMPP and SIMPLE are widely used in the Internet, but they are not suited to the mobile Internet. The MQTT is a publish/subscribe model based and lightweight messaging protocol, which has the advantages of reducing power consumption, decreasing flow and has strong flexibility. Firstly, this article analyzes the shortcomings of XMPP and SIMPLE protocol. Secondly, it introduces the message format and the usage of the MQTT protocol. After the design and implementation of the instant messaging business, the related testing and analysis are carried on the function and performance.

Abstract:The traditional PLC system, due to the problems of its system structure and processor performance, in the process of the implementation in industrial control, often occurs the inertial downtime after a certain execution time, which influences the industrial production. The paper proposes the embedded security PLC structure model, which is based on ARM+FPGA dual processor with high performance, which can greatly reduce the probability of system failure, and improve the reliability of industrial control. This system is divided into hardware structure and software system of two parts. The hardware part adopts the double channel, which is equipped with a safety circuit, heterogeneous redundancy security architecture based on 1oo2d, and safety diagnosis circuit is designed between the two processors, determines whether a system running normally by cross detection. The software part mainly includes the build system and executive system, the build system writes PLC program into executable machine code which is called the target code, and then the execution system executes the target code.

Abstract:Abstract:Aiming at parameters optimization problem of support vector machine in network traffic predicting, a network traffic predicting model is proposed based on improved support vector machine. Parameters of support vector machine are considered as a weed, the optimal parameters are found by invasive weed optimization algorithm, and network traffic data is used to test the performance. The experimental results show that the proposed model obtains high predicting accuracy and fastens the model speed, and it can meet the requirements of network traffic predicting.

Abstract:This paper presents the design of a serial communication software cross network transmission, the software uses the data transceiver double thread mechanism and data queue data sharing mechanism between the threads, in order to ensure the data security efficiency and integrity, those methods are designed on the data communication, such as data frame type check, data frame CRC check and data frame length check. Through the test, the rate and bit error test, it proves that this model to realize serial communication is reliable, safe and efficient, to meet the future real-time data communication between the mission network and the information networks needs to be.

Abstract:State Grid Corp is promoting the construction of the whole life cycle management system. It takes Grid GIS graphics as the information of the power grid. In order to achieve the whole process management of the grid's transaction information, multi temporal and multilevel management mechanism of power grid graphics based on MongoDB non relational database is introduced. The efficiency of data reading and writing is improved. Ultimately it meets the requirements of mass data information applications in the power grid.

Abstract:Aimed at the requirement of intelligent transport system construction in Taiyuan, based on Tianditu mobile API and IOS platform, this article designes a mobile application named Intelligent Bus Mobile Application System. The system provides city bus query services and value-added services. City bus query services such as static bus information query, real time bus information query, nearby bus information query, bus transfer information query, etc., value-added services like POI query, weather query and traffic management notice, etc. This solves the problem that public is unsatisfied with the travel information provided by traditional public transportation management system and makes it real smart travel.

Abstract:A new method for generating the single line diagram of the regional power network is proposed based on the dynamic programming algorithm. According to the topological model of spatial data in power grid, the implementation of the breadth first algorithm can obtain the adjacency matrix and matrix traversal sequence of the connected graph, and the square range of the total equipment can be accommodated by the adjacency matrix. A dynamic programming optimal layout algorithm is proposed, which is used to solve the layout optimization problem. The application example shows that the optimal solution layout is beautiful and efficient.

Abstract:Rolling bearings are key components in rotating machinery and its running status has an important effect on the performance of the equipment and even the entire system. Rolling bearing failure produces a high frequency stress wave signal, but Peakvue technique could detect effectively, so a fault diagnosis of rolling bearings using Peakvue technique can be used. Acceleration sensor is used to collect vibration signal of rolling bearings, and the high-pass filter is used to filter unwanted low frequency signal from the output signal of acceleration sensor, and peak extraction is used on high frequency signal and stress wave signal according to a certain time interval, and envelope detection is used on peak signal to analyze the fault type. Datasets from the Case Western Reserve University was used for validation, and the results indicate that this method can accurately detect the fault type of rolling bearings.

Abstract:3D operation platform is mainly for the realization of a simple and easy management system for small and medium-sized data center to assist the data center manager for achieving centralized management of the data center. The user enters the platform system after the relevant authorization authentication, completes the operation of the common functions of the platform, including visual management and visual display. Visual management has features such as comprehensive inquiry, system monitoring, log management, etc. Visual display uses Unity 3D engine to realize the data center on related 3D scene and model reduction and real-time data display. The test result shows that the use of the data center 3D visualization service platform greatly increases the development efficiency and maintainability, the platform also reflects the benefits of 3D visualization collaboration management, saves data center management costs and improves efficiency, reduces the risk of potential threats.

Abstract:In gun bore and recovery through special signal processing of speed missing segments, it is affected by smoke, flame and shock wave and other factors of interference, the interference leads that getting the actual moving target in muzzle moments of the doppler signal energy is particularly weak, speed corresponding losses, it reduces the accuracy of the measurement. According to the interference, using the method based on particle filter (PF) of the trajectory and the velocity compensation, avoids speed missing segments sampling interpolation of velocity curve, and the interpolation of missing segments of speed of fitting method missing interval velocity model is obtained, and then it uses this model to speed recovery optimization. Because the velocity loss section usually appears in the moving target, the muzzle velocity is the key factor to determine the muzzle velocity. Therefore, it is very important for the recovery of the velocity loss.

Abstract:Session synchronization technology mainly has the following several:session synchronization based on cookie, session synchronization based on database, session synchronization based on distributed cache. Based on the above session synchronization technologies, this paper gives a session synchronization technology based on instant copy of cluster node. This technology stores session id information in client to avoid store full session information in client, thus avoids the danger of user identity information exposure. Besides, in the process of sending a request to the server, only taking session id instead of complete session information. This greatly reduces transmitted data, so then improves the access efficiency of the client to server. Sychronizing session information between cluster nodes, there is no need to get session information from database which avoids performance bottlenecks on using database frequently. It also does not need specialized session cache servers, which cuts the cost of development and deployment. So, it has good application prospects.

Abstract:Identification and evaluation of oil and gas reservoirs is an essential part in the work of oil exploration and development. Generally speaking, the existing lithology identification methods can't be expressed in formation heterogeneity, the impact of layer parameters varies with depth arising is not taken into account. This paper presents a model of lithologic identification based on radial basis process neural network, which is verified by the actual data. The experimental result shows that the proposed method has a high recognition rate, and it is a practical application method.

Abstract:With the wide application of ontology in data integration, the concept of ontology-oriented similarity calculation became a hot issue of concern. In view of the problems that current domain ontology concept similarity calculation processes are complex, this paper proposes a concept of ontology similarity calculation method based on tree structure. The thought of this method is that through adding virtual nodes and restructuring, refactoring ontology tree, and then comparing and mapping object properties, at last, the computation of the concept of ontology semantic similarity results are obtained. The experimental results show that the method is effective to use the concept of ontology semantic information, reasonable calculation results are obtained, it can also simplify the calculation process.

Abstract:Aiming at the problem of Long development cycle, high cost and poor flexibility in the field of IDC (Internet Data Center) computer room visual management software, an IDC Visual software development platform is proposed. This paper describes the design and implementation of the core subsystem, configuration and compilation subsystem of the platform. Configuration and compilation subsystem uses AssetBundle package object model, uses DLL encapsulation function module, and proposes a new incremental updating algorithm AssetDiff that combines edit distance and block computation. The system meets the need of compilation and management of Reusable Object Model and functional model and implements the function of management, configuration, releases IDC visualization software and the publishes software remote update.