LAYERED ARCHITECTURE FOR ASSEMBLING BUSINESS APPLICATIONS FROM DISTRIBUTED COMPONENTS

Modern business applications are generally characterized as: distributed across many processors and/or sites, access data from multiple sources and have web-based interfaces. These applications may also involve systems or processes from multiple companies or vendor provided services. The changing business environment and technologies requires that the application be agile and adoptable in short period. Component based development has recently attracted increased attention as a preferred technology for developing business applications. However, the tools and techniques for the design, implementation, management and deployment of applications based on these technologies are at a very early stage of development. This paper presents an overview of a distributed architecture for the deployment of applications based on business components. The application of the architecture in an auto insurance claim domain is briefly described. A number of open research issues have been identified.     

SPECIFYING AGENT-ORIENTED E-COMMERCE SOFTWARE AS ORGANIZATIONAL STRUCTURES

1. Introduction The meteoric rise of Internet andWorld-Wide-Web technologies has createdovernight new application areas for enterprisesoftware, including e-commerce applications.These areas demand software that is robust, canoperate within a wide range of environments,and can evolve over time to cope with changingrequirements. Moreover, such software has to behighly customisable to meet the needs of a widerange of users and sufficiently secure to protectpersonal …     

Electronic support for knowledge creation in a research institute

This paper focuses on the question how to build an electronic support environment for knowledge creation in a research institute （JAIST）. In order to assess the importance of diverse conditions of scientific creativity, we performed a survey in JAIST, and extracted useful knowledge from the database of survey results. Following the analysis of the theory of academic processes of knowledge creation and the survey findings in JAIST, a computer-based integrated system is proposed. In the aspect of the system design, we postulate that an electronic support environment for academic creativity can be achieved through a seamless integration with Internet, Application Server, Middle Ware, Database and Data Warehouse. The paper addresses issues of knowledge representation in the Electronic Support System for academic research, testing and evaluation issues and conclusions.     

Decision Making Support System(DSS)——A Synthesized and Integrated Crystallization of Systems Engineering, Artificial Intelligence and Electronic Technologies

I firmly believe that of systems engineering is the requirement-driven force for the progress ofsoftware engineering, artificial intelligence and electronic technologies. The development ofsoftware engineering, artificial intelligence and electronic technologies is the technical supportfor the progress of systems engineering. INTEGRATION can be considered as "bridging" the ex-isting technologies and the People together into a coordinated SYSTEM.     

BFGS quasi-Newton location algorithm using TDOAs and GROAs

With the emergence of location-based applications in various fields,the higher accuracy of positioning is demanded.By utilizing the time differences of arrival(TDOAs) and gain ratios of arrival(GROAs),an efficient algorithm for estimating the position is proposed,which exploits the Broyden-Fletcher-Goldfarb-Shanno(BFGS) quasi-Newton method to solve nonlinear equations at the source location under the additive measurement error.Although the accuracy of two-step weighted-least-square(WLS) method based on TDOAs and GROAs is very high,this method has a high computational complexity.While the proposed approach can achieve the same accuracy and bias with the lower computational complexity when the signal-to-noise ratio(SNR) is high,especially it can achieve better accuracy and smaller bias at a lower SNR.The proposed algorithm can be applied to the actual environment due to its real-time property and good robust performance.Simulation results show that with a good initial guess to begin with,the proposed estimator converges to the true solution and achieves the Cramer-Rao lower bound(CRLB) accuracy for both near-field and far-field sources.     

Augmented reality system for aiding engineering design process of machinery systems

The paper presents the application of augmented reality for aiding product design and development of machinery systems.Augmented reality technology integrates an interactive computer-generated word with an interactive real word in such a way that they appear as one environment.AR technology can enhance a user's perception of the real world with information that is not actually part of the scene but is relevant to the user's present activity.Presented in the AR system is a mode for changing views of data-...     

Big Data: Unleashing information

At present,it is projected that about 4 zettabytes(or 10**21 bytes)of digital data are being generated per year by everything from underground physics experiments to retail transactions to security cameras to global positioning systems.In the U.S.,major research programs are being funded to deal with big data in all five sectors(i.e.,services,manufacturing,construction,agriculture and mining)of the economy.Big Data is a term applied to data sets whose size is beyond the ability of available tools to undertake their acquisition,access,analytics and/or application in a reasonable amount of time.Whereas Tien(2003)forewarned about the data rich,information poor(DRIP)problems that have been pervasive since the advent of large-scale data collections or warehouses,the DRIP conundrum has been somewhat mitigated by the Big Data approach which has unleashed information in a manner that can support informed-yet,not necessarily defensible or valid-decisions or choices.Thus,by somewhat overcoming data quality issues with data quantity,data access restrictions with on-demand cloud computing,causative analysis with correlative data analytics,and model-driven with evidence-driven applications,appropriate actions can be undertaken with the obtained information.New acquisition,access,analytics and application technologies are being developed to further Big Data as it is being employed to help resolve the 14 grand challenges(identified by the National Academy of Engineering in 2008),underpin the 10 breakthrough technologies(compiled by the Massachusetts Institute of Technology in 2013)and support the Third Industrial Revolution of mass customization.     

Primary Analysis of Development Approach to Chinese Satellite Mobile Communication

The paper describes the development of mobile communication first and then points out that it is necessary for China to develop satellite mobile communication after comparing the cellular mobile communication with the satellite mobile communication. After comparing the geostationary satellite system with the low earth orbit satellite mobile communication system, as well as the single beam with the multi-beams, both used in satellite mobile communication, we suggest that China, according to its economic status and level of satellite technology, should develop a geostationary multi-beams satellite for its domestic mobile communication.     

Finite Time Consensus Problem for Multiple Non-Holonomic Agents with Communication Delay

In this paper, finite time consensus problem is discussed for multiple non-holonomic mobile agents with constant communication delay. The objective is to design non-smooth distributed control laws such that multiple non-holonomic mobile agents can be all in agreement within any given finite time larger than communication delay. The authors propose a novel switching control strategy with the help of Lyapunov-based method and graph theory.     

Two-dimensional Hurwitz-Schur stability test of linear systems with interval delays

It is difficult to determine the stability of linear systems with interval delays (LID systems) because the roots of the characteristic polynomials of the systems are continuous and vary in a complex plane with the delay. To solve the problem, this paper develops a stability test of LID systems by resorting to 2-D hybrid polynomials and 2-D Hurwitz-Schur stability. Comparing with the existing test approaches for LID systems, the proposed 2-D Hurwitz-Schur stability test is easy to apply, and can obtain closed form constraint conditions for system parameters. This paper proposes some theorems as sufficient conditions for the stability of LID systems, and also reveals that recent results about the stability test of linear systems with any delays (LAD systems) are not suitable for LID systems because they are very conservative for the stability of LID systems.     

Double Penalized Semi-Parametric Signed-Rank Regression with Adaptive LASSO

In this paper, a semi-parametric regression model with an adaptive LASSO penalty imposed on both the linear and the nonlinear components of the mode is considered. The model is rewritten so that a signed-rank technique can be used for estimation. The nonlinear part consists of a covariate that enters the model nonlinearly via an unknown function that is estimated using Bsplines. The author shows that the resulting estimator is consistent under heavy-tailed distributions and asymptotic normality results are given. Monte Carlo simulations as well as practical applications are studied to assess the validity of the proposed estimation method.     

Sufficient conditions for stability of linear time-delay systems with dependent delays

According to the delay property, linear time-delay （LTD） systems can be classified as LTD systems with depen- dent delays （LTD_DD） and LTD systems with independent delays （LTD_ID）. This paper reveals that the stability condition for LTD_ID systems can be applied to LTD_DD systems, a sufficient stability condition for LTD_DD systems is derived from it, while only fewer of the LTD_DD systems can satisfy the stability condition due to the very strict limitation for the delays of the LTD_DD systems. To solve the problem, based on two-dimensional （2-D） hybrid polynomials, some sufficient conditions for stability of LTD_DD systems are pro- posed. Examples show that the proposed stability test algorithms are simple and valid.     

Timeliness evaluation of task-oriented networked space-based information system

Task-oriented networked information system is an integrated information system which builds on multi-satellite networking to accomplish one or more tasks.In the background of emergency relief for applications,system working flow and response process are analyzed,and a timeliness effectiveness evaluation index system is constructed at multi-task level.The effectiveness is a measurement of promptness of information return.In evaluation process,system performance and tasks are associated,then an evaluation model based on efficacy function is established,and different evaluation criteria are selected for different tasks.A distributed simulation system is constructed,and the execution of task is decomposed.The simulation platform provides a comprehensive data source for evaluation.The results are easy to compare with each other,which reflects system time efficiency in different satellites networks and provides actual systems with basis and reference for design and application.     

Study on the System Design of Multiple Expert Systems Integrated Decision Support System

There has been an increasing interest in integrating decision support systems (DSS) and expert systems (ES) to provide decision makers a more accessible, productive and domain-independent information and computing environment. This paper is aimed at designing a multiple expert systems integrated decision support system (MESIDSS) to enhance decision makers' ability in more complex cases. The basic framework, management system of multiple ESs, and functions of MESIDSS are presented. The applications of MESIDSS in large-scale decision making processes are discussed from the following aspects of problem decomposing, dynamic combination of multiple ESs, link of multiple bases and decision coordinating. Finally, a summary and some ideas for the future are presented.     

Shallow water source localization using a mobile shor t horizontal array

This paper presents an approach to the challenging is- sue of passive source localization in shallow water using a mobile short horizontal linear array with length less than ten meters. The short array can be conveniently placed on autonomous underwa- ter vehicles and deployed for adaptive spatial sampling. However, the use of such small aperture passive sonar systems makes it difficult to acquire sufficient spatial gain for localizing long-range sources. To meet the requirement, a localization approach that employs matched-field based techniques that enable the short ho- rizontal linear array is used to passively localize acoustic sources in shallow water. Furthermore, the broadband processing and inter-position processing provide robustness against ocean en- vironmental mismatch and enhance the stability of the estimation process. The proposed approach＇s ability to localize acoustic sources in shallow water at different signal-to-noise ratios is examined through the synthetic test cases where the sources are located at the endfire and some other bearing of the mobile short horizontal linear array. The presented results demonstrate that the positional parameters of the estimated source build up over time as the array moves at a low speed along a straight line at a constant depth.     

Degradation algorithm of compressive sensing

The compressive sensing(CS) theory allows people to obtain signal in the frequency much lower than the requested one of sampling theorem.Because the theory is based on the assumption of that the location of sparse values is unknown,it has many constraints in practical applications.In fact,in many cases such as image processing,the location of sparse values is knowable,and CS can degrade to a linear process.In order to take full advantage of the visual information of images,this paper proposes the concept of dimensionality reduction transform matrix and then selects sparse values by constructing an accuracy control matrix,so on this basis,a degradation algorithm is designed that the signal can be obtained by the measurements as many as sparse values and reconstructed through a linear process.In comparison with similar methods,the degradation algorithm is effective in reducing the number of sensors and improving operational efficiency.The algorithm is also used to achieve the CS process with the same amount of data as joint photographic exports group(JPEG) compression and acquires the same display effect.