Information service platform of forest pest forecast based on WebGIS

Taking Linkou Forestry Bureau, Heilongjiang Province, China as the demonstration plot and Dendrolimus pinidiatrea as an example, we developed a WebGIS-based information service platform for forest pest forecast using J2EE and ArcGIS Server technology. The service platform is able to predict the occurrence period, amount of pest, occurrence tendency, and pest zones in the B/S environment and realized the display, querying, analysis and editing of the spatial data and the automatically integrated control of multilevel Data,. Additionaly, the service platform offers the visualization of geographic service and predicted results. It provides a solution for prediction of forest pest and forest resource management.

Innovation and Practice of Teaching Methods in Digital and Adaptive Learning:Taking Communication Engineering Major as an Example

This paper proposes teaching reforms in communication engineering majors,emphasizing the implementation of digital and adaptive teaching methodologies,integrating emerging technologies,breaking free from the constraints of traditional education,and fostering high-caliber talents.The reform measures encompass fundamental data collection,recognition of individual characteristics,recommendation of adaptive learning resources,process-oriented teaching management,adaptive student guidance and early warning systems,personalized evaluation,and the construction of an integrated service platform.These measures,when combined,form a comprehensive system that is expected to enhance teaching quality and efficiency,and facilitate student development.

Information service platform of forest pest forecast based on WebGIS

Taking Linkou Forestry Bureau, Heilongjiang Province, China as the demonstration plot and Dendrolimus pinidiatrea as an example, we developed a WebGIS-based information service platform for forest pest forecast using J2EE and ArcGIS Server technology. The service platform is able to predict the occurrence period, amount of pest, occurrence tendency, and pest zones in the B/S environment and realized the display, querying, analysis and editing of the spatial data and the automatically integrated control of multilevel Data,. Additionaly, the service platform offers the visualization of geographic service and predicted results. It provides a solution for prediction of forest pest and forest resource management.

Authentication and Access Control in RFID Based Logistics-customs Clearance Service Platform

The content security requirements of a radio frequency identification （RFID） based logistics-customs clearance service platform （LCCSP） are analysed in this paper. Then, both the unified identity authentication and the access control modules are designed according to those analyses. Finally, the unified identity authentication and the access control on the business level are implemented separately. In the unified identity authentication module, based on an improved Kerberos-based authentication approach, a new control transfer method is proposed to solve the sharing problem of tickets among different servers of different departments. In the access control module, the functions of access controls are divided into different granularities to make the access control management more flexible. Moreover, the access control module has significant reference value for user management in similar systems.

Design and Implementation of National Meteorological Service Platform

In order to change the distributed status of the meteorological service platform,based on the integration of the self-built service platforms including meteorology,climate,observation and service,National Meteorological Information Center( NMIC) constructs National Meteorological Service Platform( NMSP). NMSP is a unified national meteorological service platform to provide browsing,searching and displaying of observation,weather forecasting,warning information,historical climate data and network information. NMSP uses the MVC design pattern.For adapting the characteristics of meteorological application,above J2 EE application framework( Struts + Spring + Hibernate),NMSP encapsulates data exchange module which improves flexibility and efficiency of the system development. On March 2015,NMSP( version 2. 0)has been on operational running,which covers six core sections,nearly 100 sub-modules,2000 kinds of service products. It plays an effective supporting role on various types of meteorological service.

Application of Pruning Algorithm on Voice Service Platform of Cow Disease Diagnosis Expert System

Expert System （ES） is considered effective and efficient in agricultural production, as agricultural informationization becomes a main trend in agricultural development. ES, however, is applied unsatisfactorily in most rural areas of China and it has considerably affected and restricted the development of the agricultural informationization. This paper proposed a solution to voice service system of ES, which was suitable for the information transmission, and it especially could help the peasants in remote regions obtain knowledge from ES through the voice service system. As for the disadvantages of massive knowledge data and slow deduction, in this system the classification method could be adopted based on the decision tree. Designing pruning algorithm to ＂trim off＂ the unrelated knowledge to the users in query course would simplify the structure of the decision tree and accelerate the speed of deduction before the inference engine deduced the knowledge required by users.

A Smart Wellness Service Platform and Its Practical Implementation

Advances in the field of medical sciences and medical technology,and present-day challenges,such as an aging population,rising medical expenses,and lifestyle-related diseases,have collectively catalyzed a research ecosystem termed“smart wellness.”This article describes the establishment of a smart wellness service platform designed to empower individuals to create a sense of balance in their lives.Step-by-step details include service model,design,and architectural considerations.As a proof of concept,implementation details of a Health Improvement and Management Systems(HIMS)Hub,a Smart Wellness Service Platform deployed in six cities in South Korea,are presented.An on-site survey conducted in Busan Metropolitan City reveals the percentage of satisfied users to be 91.3%.Furthermore,data gathered from 27,236 physical evaluations of users from a Busan city center over the period of April 2013 to May 2018 reveal that males and females in their 50s and 60s account for the highest number of participants,while males in their 70s have a higher rate of participation than females in the same age group.

ZTE's Unified Service Platform

Inheriting all the advantages of Intelligent Network (IN), ZTE's Unified Service Platform has unique features. By separating billing functionality from Service Control Point(SCP) and adopting Diameter protocol to connect the external billing unit, it has much more freedom to perform pre-paid and post-paid services convergence. The platform is a truly open system with Parlay/Open Service Architecture (Parlay/OSA) standards followed, and able to open Application Programming Interfaces (API) to the third parties for service development. ZTE's unified service platform, a leading IN into the future, is a good choice for network operators.

A Unified Service Platform:ZXUP10

1 Development Trend ofIntelligent ServicesServices on traditional Intelligent Networks(IN)are created by Service CreationEnvironment Point(SCEP),and uploadedonline to Service Control Point(SCP)to runvia Service Management Access Point(SMAP)and Service Management Point(SMP).INsavailable can meet most demands of value-added voice services.But IN is not a completelyopen network.It is very difficult to create serviceson it by SCEP.Due to the fact that SCEP has not beendefined with a unified service file format yet,unified service models are generally provided bySCP equipment providers,not by operators or

The research on the operating models of public service platform of the Hubei province key-developing industrial clusters

Public service platform of industrial cluster includes Industry Association, Guarantee Agency, Productivity Center, R＆D Center, Inspection and Test Center, Training Institutions, Product Center and Professional Market, etc. By case study in Hubei province, local government and leading enterprises, they are the major part of public service platform constructing of industrial cluster.

Study on Security of NGN Service Platform

This article discusses the security of the NGN service platform in terms of the open service interface and service deployment. It thinks that security of the open service interface can be solved by adding the service access gateway and service management platform. The service access gateway provides security features to the open service interface concerning ID authentication, authorization, audit, encryption and integrity protection. For service deployment, its security can be solved by issuing related user digital certificates, deploying a firewall or an intrusion detection system, implementing load control, managing users' home location and displaying users' real-time IP addresses.

ICT Service Platform Promotes Small and Medium Enterprise Informatization

Information and Communication Technology (ICT) service platform,combined with information technology,communication technology and corresponding applications,is essential for small and medium enterprises to realize their informatization. The broadband business platform put out by China Netcom provides new generation of integrated ICT services which focus on service and would be rented to customers. Broadband business platform could satisfy varieties of informatization demands made by small and medium enterprises such as low investment,fast reaction,individuation and security. It could effectively assist small and medium enterprises to achieve informatization.

Oracle and ZTE Extend Alliance for Service Delivery Platform Blueprint Development

Oracle and ZTE announced on April 21, 2008 that they have extended their alliance in connection with the marketing and development of Service Delivery Platform offerings in China and globally.

Research on the Construction of Intelligence Community Integrated Information Service platform

With the constructions of ＂intelligence city＂, intelligent life quietly came to the people. As the ＂cell＂ of the city, the construction of intelligence community arises. Resident service system and e-government application system have been used in the traditional information community, but these systems are independent of each other, lack of interconnectedness, which results in the phenomenon of information isolated island. Intelligence community integrated information service platform can integrate information service resources and provide residents with efficient and convenient life. From the meaning, operation mode, we can design the cooperative, open and extensible system architecture.

Diversified Business Model of On-Demand Cooking:An Analysis Based on the Business Model Canvas

With the acceleration of the pace of social life and the emergence of the convenience economy,the requirements for on-demand cooking services have increased due to the increasing demand for food quality and the health concerns associated with takeaway food,as well as the lack of cooking skills.This paper aims to analyze the business model of on-demand cooking service platforms in China with the theory of Business Model Canvas proposed by Alexander Osterwalder.By exploring the advantages and disadvantages of the business model of on-demand door-to-door cooking,the study seeks to provide relevant recommendations.

Detecting and Preventing of Attacks in Cloud Computing Using Hybrid Algorithm

Cloud computing is the technology that is currently used to provide users with infrastructure,platform,and software services effectively.Under this system,Platform as a Service(PaaS)offers a medium headed for a web development platform that uniformly distributes the requests and resources.Hackers using Denial of service(DoS)and Distributed Denial of Service(DDoS)attacks abruptly interrupt these requests.Even though several existing methods like signature-based,statistical anomaly-based,and stateful protocol analysis are available,they are not sufficient enough to get rid of Denial of service(DoS)and Distributed Denial of Service(DDoS)attacks and hence there is a great need for a definite algorithm.Concerning this issue,we propose an improved hybrid algorithm which is a combination of Multivariate correlation analysis,Spearman coefficient,and mitigation technique.It can easily differentiate common traffic and attack traffic.Not only that,it greatly helps the network to distribute the resources only for authenticated requests.The effects of comparing with the normalized information have shown an extra encouraging detection accuracy of 99%for the numerous DoS attack as well as DDoS attacks.

Key Technologies and Development Trends in Advanced Intelligent Sawing Equipments

As a starting point in equipment manufacturing,sawing plays an important role in industrial production.Intelligent manufacturing equipment is an important carrier of intelligent manufacturing technologies.Due to the backwardness of intelligent technology,the comprehensive performance of sawing equipments in China is obviously different from that in foreign countries.State of the art of advanced sawing equipments is investigated along with the technical bottleneck of sawing machine tool manufacturing,and a new industrial scheme of replacing turning-milling by sawing is described.The key technologies of processing-measuring integrated control,multi-body dynamic optimization,the collaborative sawing network framework,the distributed cloud sawing platform,and the self-adapting service method are analyzed;with consideration of the problems of poor processing control stableness,low single machine intelligence level,no on-line processing data service and active flutter suppression of sawing with wide-width and heavy-load working conditions.Suggested directions for further research,industry implementation,and industry-research collaboration are provided.

DPTSV:A Dynamic Priority Task Scheduling Strategy for TSS Deadlock Based on Value Evaluation

This paper analyzes the threat of TCG Software Stack(TSS)/TCM Service Module(TSM) deadlock in multi-user environment such as cloud and discusses its causes and mechanism.In addition,this paper puts forward a dynamic priority task scheduling strategy based on value evaluation to handle this threat.The strategy is based on the implementation features of trusted hardware and establishes a multi-level ready queue.In this strategy,an algorithm for real-time value computing is also designed,and it can adjust the production curves of the real time value by setting parameters in different environment,thus enhancing its adaptability,which is followed by scheduling and algorithm description.This paper also implements the algorithm and carries out its performance optimization.Due to the experiment result from Intel NUC,it is shown that TSS based on advanced DPTSV is able to solve the problem of deadlock with no negative influence on performance and security in multi-user environment.

A Middleware for Polyglot Persistence and Data Portability of Big Data PaaS Cloud Applications

Vendor lock-in can occur at any layer of the cloud stack-Infrastructure,Platform,and Software-as-a-service.This paper covers the vendor lock-in issue at Platform as a Service(PaaS)level where applications can be created,deployed,and managed without worrying about the underlying infrastructure.These applications and their persisted data on one PaaS provider are not easy to port to another provider.To overcome this issue,we propose a middleware to abstract and make the database services as cloud-agnostic.The middleware supports several SQL and NoSQL data stores that can be hosted and ported among disparate PaaS providers.It facilitates the developers with data portability and data migration among relational and NoSQL-based cloud databases.NoSQL databases are fundamental to endure Big Data applications as they support the handling of an enormous volume of highly variable data while assuring fault tolerance,availability,and scalability.The implementation of the middleware depicts that using it alleviates the efforts of rewriting the application code while changing the backend database system.A working protocol of a migration tool has been developed using this middleware to facilitate the migration of the database(move existing data from a database on one cloud to a new database even on a different cloud).Although the middleware adds some overhead compared to the native code for the cloud services being used,the experimental evaluation on Twitter(a Big Data application)data set,proves this overhead is negligible.