An information centric approach to heterogeneous multi-sensor integration for robotic applications

An autonomous robot's ability to respond intelligently to an unstructured non-static environment is constrained by its ability to sense and interpret its world. The prospective benefits of employing multiple diverse sensors outweigh the potential limitations. Herein, the two most important issues of what to fuse and how to fuse are developed in detail. The former is known as the registration problem, and the latter the fusion problem. The registration procedure is addressed by a comprehensive three-stage process. It is a goal of this work to provide a viable framework towards the real-time interpretation of heterogeneous sensor data for robots.     

An information integration framework for e-commerce

One of the main challenges for e-commerce infrastructure designers is to retrieve data from different sources and create a unified view that overcomes contradictions and redundancies. Virtual catalogs, such as the Momis project, can help synthesize data and present it in a unified manner to the customer.     

An expert system framework for a CIM based quality inspection system

With today's competitive marketplace moving toward a goal of lean, error free manufacturing a need for technological change in quality decision making has arisen. One approach to this new “quality” standard involves tying quality analysis to the theory of Computer Integrated Manufacturing (CIM). In this paper a model of such a system is presented including the application of an expert system to enhance dimensional tolerancing and data analysis in quality control. Our expert system will also serve a dual role as a technological link to a CIM environment through the use of IGES computer aided design data.     

Interoperable access framework for internet of things backhauled heterogeneous applications

Internet of Things (IoT) provides large-scale interoperable service delegations for heterogeneous users through pervasive access. The interconnection of different devices and services in an on-demand and pervasive manner provides seamless responses for different applications. However, a few interconnected devices are stuck into a resource-constraint problem due to limited access and unavailability. This article proposes an interoperable access framework (IAF) for pervasive application services (PAS) for providing robust end-user solutions. The proposed framework balances the accessibility and semantics and its responses for providing seamless interoperability support. In this framework, transfer learning for different limited and free-flow service accessibility is used. The teaching is recurrent for identifying the unavailability of the resources. The process of serving the requests is achieved through interoperable replacement services. It reduces the impact of resource-constraint in the IoT platform, wherein the semantics between unavailability and accessibility is analyzed flawlessly. The proposed framework's performance is verified using the metrics service delay, responses, unavailability, resource utilization, and successful access.     

An integration framework for product lifecycle management

The need for integrating business and technical information systems, allowing partners to collaborate effectively in creating innovative products, has motivated the design and deployment of a novel integration framework for product lifecycle management. The time is ripe for such an integration framework because of the convergence of three important developments, almost in a perfect storm: (1) maturity of standardized product data and meta-data models, and standardized engineering and business processes; (2) emergence of service-oriented architecture for information sharing; and (3) availability of robust middleware to implement them. These developments allow engineering and business objects and processes to be built or composed as modular pieces of software in the form of services that can communicate with each other and be used across different parts of a business. These modular software pieces can be reused and reconfigured in new ways as business conditions change, thereby saving time and money for companies. This paper describes the business and technical aspects of an integration framework for product lifecycle management using open standards and service-oriented architecture.     

An architectural framework for CKBS applications

This paper presents an architectural framework for cooperating knowledge based systems (CKBSs) with parallels drawn from the multiagent systems of DAI. A CKBS is distinguished from a multiagent system by its need to provide a workable approach for real-world distributed applications. The framework proposed considers only interagent activities in what is called transaction-oriented processing. The framework, based largely on well-tested computer science concepts, provides for a multilayered edifice with information transparency, and a multilevel schema to suit different user expertise. It permits dynamic definition of cooperation strategies for different tasks as required, in a high-level language providing relative ease of use. A particular novelty is the interpretation of actions as side-effects of update operations on action tuples transmitted among agents via what are called shadows. This provides the generality needed. Effectiveness, flexibility, and ease of use are some of the key considerations     

An event-driven framework for inter-user communication applications

This paper presents an event-driven framework for inter-user communication applications, such as Internet gaming or chatting, that require frequent communication among users. This paper addresses two major blocking problems for event-driven programming for inter-user communication applications, namely output blocking and request blocking. For the former, an output buffering mechanism is presented to solve this problem. For the latter, a service requesting mechanism with helper processes is presented to solve this problem. The above two mechanisms are incorporated into the framework presented in this paper to facilitate application development. In practice, this framework has been applied to online game development.     

An adaptive middleware framework for context-aware applications

We describe a middleware framework for the adaptive delivery of context information to context-aware applications. The framework abstracts the applications from the sensors that provide context. Further applications define utility functions on the quality of context attributes that describe the context providers. Then, given multiple alternatives for providing the same type of context, the middleware applies the utility function to each alternative and choose the one with maximum utility. By allowing applications to delegate the selection of context source to the middleware, our middleware can implement autonomic properties, such as self-configuration when new context providers appear and resilience to failures of context providers.

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基于多厂制造执行系统异构数据集成架构的研究

针对MES在多厂环境下,各系统采用不同数据库管理系统所形成的异构现象,提出一个有弹性、可适应异构环境的多厂数据集成架构(MPDIF).数据集成过程中使用了数据集成代理、工厂代理与数据提取代理三个软件代理解决数据异构问题,并整合各工厂MES的信息,达到多厂生产活动监视和追踪的特性.     

A framework for efficient performance prediction of distributed applications in heterogeneous systems

Predicting distributed application performance is a constant challenge to researchers, with an increased difficulty when heterogeneous systems are involved. Research conducted so far is limited by application type, programming language, or targeted system. The employed models become too complex and prediction cost increases significantly. We propose dPerf, a new performance prediction tool. In dPerf, we extended existing methods from the frameworks Rose and SimGrid. New methods have also been proposed and implemented such that dPerf would perform (i) static code analysis and (ii) trace-based simulation. Based on these two phases, dPerf predicts the performance of C, C++ and Fortran applications communicating using MPI or P2PSAP. Neither one of the used frameworks was developed explicitly for performance prediction, making dPerf a novel tool. dPerf accuracy is validated by a sequential Laplace code and a parallel NAS benchmark. For a low prediction cost and a high gain, dPerf yields accurate results.     

Integrity constraint integration in heterogeneous databases: An enhanced methodology for schema integration

In today's technologically diverse corporate environment, it is common to find several different databases being used to accomplish the organization's operational data management functions. Providing interoperability among these databases is important to the successful operation of the organization. One approach to providing interoperability among heterogeneous database systems, is to define one or more schemas which represent a coherent view of the underlying databases. In the past, most approaches have used schematic knowledge about the underlying databases to generate integrated representations of the databases. In this paper we present a seven step methodology for utilizing integrity constraint knowledge from heterogeneous databases. Specifically, we describe how we can generate a set of integrity constraints applicable at the integrated level from constraints specified on local databases. We introduce the concept of constraint-based relationships between objects in heterogeneous databases and describe the role that these relationships play in integrity constraint integration. Finally, we describe how the integrated set of constraints generated using our methodology can be used to facilitate semantic query processing in a heterogeneous database environment.     

Service scheduling and rescheduling in an applications integration framework

Grid technologies are evolving towards a service oriented architecture (SOA) and the traditional client/server architecture of heterogeneous computing (HC) can be transformed into a grid service oriented architecture. In this architecture, when more than one service fulfills the user request, a service which can make scheduling decisions is essential. A scheduling service has been proposed in a framework which achieves the dynamic deployment and scheduling of scientific and engineering applications. The framework treats all components (resource service and scheduler service) as WSRF-compliant services which support the applications integration with underlying native platform facilities and facilitate the construction of the hierarchical scheduling system. In order to enhance the system performance, we replace the MWL scheduling algorithm with an MCT algorithm and integrate a rescheduling mechanism in the framework. The experiments show that the MCT algorithm can achieve a smaller makespan and the rescheduling mechanism ensures the task execution even if an application is removed from the Resource Service.     

一种新的异构系统集成方法、框架与实现

本文为解决分布式异构系统集成时常见的紧耦合问题,实现可扩展、易配置和实时性的集成要求,提出了一种新的分布式系统集成方法和框架,并利用C++语言进行了实现。该框架主要采取先集中后分发的总体思路,利用数据传输只依赖数据大小而与数据内容无关的特性将与子系统紧密相关的业务数据转换为传输数据,从而使软件通过配置能柔性适应多种应用场景。基于该框架的软件实现已应用于某型飞机分队战术模拟训练系统,取得了较好的应用效果。     

基于多库操作语言的异构数据库集成框架研究

为解决当前异构数据库集成框架中全局模式维护复杂的问题,提出了基于多库操作语言的异构数据库集成框架HDIFBML.主要内容包含关键模块设计、全局模式及模式映射概念,并定义了一种多库操作语言SMSQL.SMSQL定义了模式构建语言集和模式映射语言集来构建,维护全局模式,并通过字段转化解决不同模式集成时的结构/语义冲突.实践应用表明,HDIFBML屏蔽了底层异构数据库执行细节,可以灵活地维护全局模式,具有良好的可操作性、可维护性和可扩展性.     

Performance estimates for applications: An algebraic framework

In the approach described in this paper the performance of an application is described via a network of its building blocks. If each of the building blocks is assigned a value in the ‘performance algebra’, which turns out to be an ordered semigroup, the total performance can be obtained by applying a semigroup homomorphism. Data movement, arithmetic operations and delays (such as dispatching overhead) and their interactions can be algebraically modelled. The method can be applied to whole applications but also to operations close to the instruction level. Hockney's laws and Amdahl's law can be retrieved as well as the law of the harmonic mean. In addition, a number of inequalities for algebraic constructs are given and the relationship between a ‘machine independent’ and a ‘machine dependent’ application algebra is studied. We formulate an ‘abstract benchmarking problem’ and discuss a number of applications.     

CIM implementation through at and MRP integration

A CIM implementation case is introduced in this paper. It is accomplished through the integration of two fundamental approaches to production plammng and control; Jrr and MRP. The resultant system is a hybrid where some JIT methodologies prevail, but the benefits of the MRP are also required A new BOM structure is designed for the load leveled production with small lot size and the synchronized production. The overall production planning concept is described with actual data.     

Some thoughts on integration in CIM systems

An economical CIM system must increase productivity. This increase must be achieved essentially by measures based on improved information flow and planning. Local area networks and the integration of planning functions could provide a starting point for such measures.     

IncogniSense: An anonymity-preserving reputation framework for participatory sensing applications

Reputation systems are fundamental for assessing the quality of user contributions in participatory sensing. However, naively associating reputation scores to contributions allows adversaries to establish links between multiple contributions and thus de-anonymize users. We present the IncogniSense framework as a panacea to these privacy threats. IncogniSense utilizes periodic pseudonyms generated using blind signature and relies on reputation transfer between these pseudonyms. Simulations are used to analyze various reputation cloaking schemes that address the inherent trade-off between anonymity protection and loss in reputation. Our threat analysis confirms the robustness of IncogniSense and a prototype demonstrates that associated overheads are minimal.     

An integrated runtime QoS-aware middleware framework for distributed multimedia applications

Future-generation distributed multimedia applications are expected to be highly scalable to a wide variety of heterogeneous devices, and highly adaptive across wide-area distributed environments. This demands multiple stages of run-time support in QoS-aware middleware architectures, particularly, probing the performance of QoS parameters, instantiating the initial component configurations, and adapting to on-the-fly variations. However, few of the past experiences in related work have shown comprehensive run-time support in all of the above stages – they often design and build a middleware framework by focusing on only one of the run-time issues. In this paper, we argue that distributed multimedia applications need effective run-time middleware support in all these stages to be highly scalable and adaptive across a wide variety of execution environments. Nevertheless, the design of such a middleware framework should be kept as streamlined and simple as possible, leading to a novel and integrated run-time middleware platform to unify the probing, instantiation and adaptation stages. In addition, for each stage, the framework should enable the interaction of peer middleware components across host boundaries, so that the corresponding middleware function can be performed in a coordinated and coherent fashion. We present the design of such an integrated architecture, with a case study to illustrate how it is simple yet effective to monitor and configure complex multimedia applications.     

A unified framework for heterogeneous patterns

Knowledge patterns, such as association rules, clusters or decision trees, can be defined as concise and relevant information that can be extracted, stored, analyzed, and manipulated by knowledge workers in order to drive and specialize business decision processes. In this paper we deal with data mining patterns. The ability to manipulate different types of patterns under a unified environment is becoming a fundamental issue for any ‘intelligent’ and data-intensive application. However, approaches proposed so far for pattern management usually deal with specific and predefined types of patterns and mainly concern pattern extraction and exchange issues. Issues concerning the integrated, advanced management of heterogeneous patterns are in general not (or marginally) taken into account.