Using the KISO's Framework to Integrate Knowledge Sources

In complicated application environment such as CIMS (Computer Integrated Manufacture System) enterprise, it will bring great benefits to integrate distributed knowledge sources. But the difficulties of knowledge sharing and reuse seriously encumbrance the implementation of knowledge integration. In this paper, we describe how a framework of knowledge-integrated system based on ontology (KISO) can be used to support integrating distributed knowledge sources.

Research and Development on Manufacturing Enterprise Integration Framework

Currently many enterprises have established some independent application systems such as CAD, CAPP, CAE and so on. Enterprise information integration makes these information islands connected, and thereby forms a uniform enterprise-wide information environment. First this paper discusses the main research contents of enterprise integration. Then the author introduces an Internet-based configurable and open information integration framework, and presents a multi-tier integration architecture based on reusable component. Finally a development case of enterprise integration framework is introduced.

An ethics assessment list for geoinformation ecosystems: revisiting the integrated geospatial information framework of the United Nations

To achieve sustainable development goals,georeferenced data and geographic information systems play a crucial role.Yet,the way in which these data and systems are summoned upon rests on positivist assumptions which overlook both epistemological and ethical concerns.This is epitomized by the integrated geospatial information framework(IGIF)of the United Nations,which,from the perspective of sustainable development,aims to provide guidance for the management of geoinformation and related tools,considering these as mirrors of the physical world.In this respect,the article has three main goals.First,it delivers an epistemological and ethical critique of the IGIF,by highlighting its internal tensions.Second,it suggests how the IGIF and similar geoinformation initiatives can benefit from an ethical reflection that allows to conduct georeferenced practices in a fair(er)way.Third,it designs an ethics assessment list for self-evaluating the ethical robustness of geoinformation initiatives as ecosystems.

Land Use Changes in Himalaya and Their Impacts on Environment, Society and Economy: A Study of the Lake Region in Kumaon Himalaya, India

The traditional resource use structure in Himalaya has transformed considerably during the recent past, mainly owing to the growth of population and the resultant increased demand of natural resources in the region. This transformation in resource use practices is particularly significant in the densely populated tracts of Himalaya. As a result, cultivated land, forests, pastures and rangelands have been deteriorated and depleted steadily and significantly leading to their conversion into degraded and non-productive lands. These rapid land use changes have not only disrupted the fragile ecological equilibrium in the mountains through indiscriminate deforestation, degradation of land resources and disruption of the hydrological cycle, but also have significant and irreversible adverse impacts on the rural economy, society, livelihood and life quality of mountain communities. It has been observed that the agricultural production has declined, water sources are drying up fast due to decreased ground water recharge and a large number of villages are facing enormous deficit of critical resources, such as food, fodder, firewood and water, mainly due to unabated deforestation. As a result, the rural people, particularly the women, have to travel considerably long distances to collect fodder and firewood and to fetching water. It is therefore highly imperative to evolve a comprehensive and integrated land use framework for the conservation of the biophysical environment and sustainable development of natural resources in Himalaya. The land use policy would help local communities in making use of their natural resources scientifically and judiciously, and thus help in the conservation of the biophysical environment and in the increasing of the productivity of natural resources. The study indicates that conservation of forests and other critical natural resources through community participation, generation of alternative means of livelihood, and employment in rural areas can help increase rural income as well as restore ecosystem services.

Electric Vehicle Charging Simulation Framework Considering Traffic,User,and Power Grid

The traffic and user have significant impacts on the electric vehicle(EV)charging load but are not considered in the existing research.We propose a novel integrated simulation framework considering the traffic,the user,and power grid as well as the EV traveling,parking and charging based on cellular automaton(CA).The traffic is modeled by the traffic module of the proposed framework based on CA,while the power grid and user are modeled in the EV charging module.The traffic flow,user’s charging preference,user’s charging satisfaction,and the total supply capability(TSC)in the surveyed region are considered in the proposed framework.Two cases are carried out to show the interactions between the user and power grid.It is shown that the proposed framework can accurately simulate the interactions among traffic situation,user's behavior and TSC,which are significantly lacking in the existing research.The proposed framework is scalable in considering additional interrelated elements.

From Concepts to Consistent Object Specifications:Translation of a Domain-Oriented Feature Framework into Practice

A steady increase in consumer demands, and severe constraints from both a somewhat damaged environment and newly installed government policies, require today's product design and development to be faster and more efficient than ever before, yet utilizing even fewer resources. New holistic approaches, such as total product life cycle modeling which embraces all aspects of a product's life cycle, are current attempts to solve these problems. Within the field of product design and modeling, feature technology has proved to be one very promising solution component. Owing to the tremendous increase in information technology, to transfer from low level data processing towards knowledge modeling and information processing is about to bring a change in almost every computerized application. From this viewpoint, current problems of both feature frameworks and feature systems are analyzed in respect to static and dynamic consistency breakdowns. The analysis ranges from early stages of designing (feature) concepts to final system implementation and application. Por the first time, an integrated view is given oil approaches, solutions and practical experience, with feature concepts and structures, providing both a feature framework and its implementation with sufficient system architecture and computational power to master a fair number of known consistency breakdowns, while providing for robust contexts for feature semantics and integrated models. Within today's heavy use of information technology these are pre-requisites if the full potential of feature technology is to be successfully translated into practice.

Research and Implementation of Distributed Virtual Simulation Platform Based on Components

This paper proposes a combination of systems theoretic simulation methodology with the virtual reality technology as a basis for a component based virtual simulation framework. The created universal framework can be used in different fields, such as drive training, airplane fighting training, and so on. The result of the synergism is a powerful component based virtual simulation framework. After having briefly introduced the concepts and principles of the distributed component object, the paper describes a software development method based on components. Then a method of virtual simulation system modeling based on components is proposed, and the integrated framework supporting distributed virtual simulation and its key technologies are discussed at length. Our experiments indicate that the framework can be widely used in simulation fields such as arms antagonism, driving simulation and so on.

Machine learning in building energy management: A critical review and future directions

Over the past two decades,machine learning(ML)has elicited increasing attention in building energy management(BEM)research.However,the boundary of the ML-BEM research has not been clearly defined,and no thorough review of ML applications in BEM during the whole building life-cycle has been published.This study aims to address this gap by reviewing the ML-BEM papers to ascertain the status of this research area and identify future research directions.An integrated framework of ML-BEM,composed of four layers and a series of driving factors,is proposed.Then,based on the hype cycle model,this paper analyzes the current development status of ML-BEM and tries to predict its future development trend.Finally,five research directions are discussed:(1)the behavioral impact on BEM,(2)the integration management of renewable energy,(3)security concerns of ML-BEM,(4)extension to other building life-cycle phases,and(5)the focus on fault detection and diagnosis.The findings of this study are believed to provide useful references for future research on ML-BEM.

Study on the Integration of Decision Support System with Multiple Expert Systems

This paper is aimed at designing an integrated framework of DSS with multiple ESs to enhance decision makers’ability in more complex cases.The basic intedrated frameword,knowledge organization and management of multiple ESs system (MESS),are presented.The following aspects:combing opinions form multiple ESs,problem-based model integration,and inconsistency processing among multiple ESs are emphatically doscissed. Finally,a summary and some ideas for the future are even.

Joint Design of Clustering and In-cluster Data Route for Heterogeneous Wireless Sensor Networks

A heterogeneous wireless sensor network comprises a number of inexpensive energy constrained wireless sensor nodes which collect data from the sensing environment and transmit them toward the improved cluster head in a coordinated way. Employing clustering techniques in such networks can achieve balanced energy consumption of member nodes and prolong the network lifetimes.In classical clustering techniques, clustering and in-cluster data routes are usually separated into independent operations. Although separate considerations of these two issues simplify the system design, it is often the non-optimal lifetime expectancy for wireless sensor networks. This paper proposes an integral framework that integrates these two correlated items in an interactive entirety. For that,we develop the clustering problems using nonlinear programming. Evolution process of clustering is provided in simulations. Results show that our joint-design proposal reaches the near optimal match between member nodes and cluster heads.

Feature Analysis of STEP Application Protocol and its Application

This paper uses semantic data modelling and CAD/CAPP/CAM integration to analyze the features defined in the STEP AP214, its characteristics of definition and distribution, and its influence on the complexity of CAD/CAPP/CAM application integration. A framework is developed for applications of CAD/CAPP/CAM integration based on the STEP to reduce the complexity of integration implementation. Two application program interfaces (API), namely, application protocol API and application API, are developed. The frameworks hierarchy structure and the application program interfaces between the layers make the integration of applications easier.

Development of a research platform for BEPCⅡ accelerator fault diagnosis

Background BEPCⅡis an electron-positron collider with a beam energy of 1.89 GeV and luminosity of 1×10^(33)cm^(-2)s^(-1).Being a complex accelerator,fault diagnostics both in an accurate manner and in time are often challenging during its operation.Purpose The fault diagnosis research platform is capable of locating and resolving faults on time,thus can largely improve the operation of BEPCⅡby reducing downtime due to machine fault and consequently satisfying the demand for fault diagnosis of a complex system.Methods Making full use of the existing large-scale hardware foundation,abundant data resources and previous experiences,a fault diagnosis research platform was built by applying data mining,machine learning and other related algorithms to carry out specific fault analysis on the entire system.Conclusion The fault diagnosis research platform has been developed with implemented functions of data query,statistics and analysis.Partial fault diagnoses of the three subsystems have been realized.The 4W1 power supply fault has been successfully discovered,and effective solutions have been subsequently provided.