• Management & Information Systems Review
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• v.15
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• pp.91-108
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• 2004

In this article, We propose research propositions about correlates of job interest, job difficulty, job effort, and job performance as well as job performance and emotions while working. The purpose of this study is to review existing research on emotions and job performance, particularly emotions at work. The purpose of this article is to review existing research on job performance and emotions, particularly at the job relevant cognitions level. In this study, We propose research propositions about correlates of job performance and emotions while working. The purpose of this article is to develop and propose research propositions about potential correlates of perceived performance at the job relevant level. Correlates include those that should function mainly as antecedents of performance, such as job difficulty, job interest, and job effort in the study are emotions experienced concurrently with job performance. Therefore, We suggest the predictive direction and bivariate relationship of the set of among variables in explaining job performance and emotions.

• ETRI Journal
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• v.44 no.5
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• pp.780-793
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• 2022

Large-scale ontology management is one of the main issues when using ontology data practically. Although many approaches have been proposed in relational database management systems (RDBMSs) or object-oriented DBMSs (OODBMSs) to develop large-scale ontology management systems, they have several limitations because ontology data structures are intrinsically different from traditional data structures in RDBMSs or OODBMSs. In addition, users have difficulty using ontology data because many terminologies (ontology nodes) in large-scale ontology data match with a given string keyword. Therefore, in this study, we propose a (graph database-based ontology management system (GOMS) to efficiently manage large-scale ontology data. GOMS uses a graph DBMS and provides new query templates to help users find key concepts or instances. Furthermore, to run queries with multiple joins and path conditions efficiently, we propose GOMS encoding as a filtering tool and develop hash-based join processing algorithms in the graph DBMS. Finally, we experimentally show that GOMS can process various types of queries efficiently.

• Journal of Korea Society of Industrial Information Systems
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• v.4 no.3
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• pp.44-51
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• 1999

This paper presents the queuing model for evaluating the performance of TMN EMS with ATM switching systems. TMS for managing ATM switching systems has a hierarchical structure that consists of managers at the top level, agents at the middle, and ATM switching systems at bottom. A manager communicates with several agents, and an agent manages an ATM switching system We define a queuing model in order to predict the capacity and performance for managers in EMS. By evaluating the queuing model, we can predict the average service time and capacity of EMS.

• Industrial Engineering and Management Systems
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• v.7 no.2
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• pp.150-159
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• 2008

Lots of EDI-VAN companies are in need of transforming their business transaction systems into Web-based e-Business frameworks because of high cost and closed structure of EDI systems. This research proposes several e-Transformation strategies for EDI-VAN companies to adopt Web-based e-Business frameworks such as ebXML and RosettaNet. Four transformation alternatives are presented and transformation procedure for a medium-sized company is described. The result of this work can be used as a practical guideline for EDI companies to develop their own transformation strategy suitable to its scale and capability, while minimizing the impacts on the pre-existing business processes and information systems.

• Journal of Information Technology Applications and Management
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• v.11 no.1
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• pp.39-51
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• 2004

Application systems outsourcing is an important part of IT outsourcing services. Application systems outsourcing costs is determined by service levels of outsourcers. Recent researches show there is a strong need to build industry-specific cost estimation models. In this study, an industry-specific application systems operation cost estimation model is suggested. We reviewed operation cost models of previous researches, and proposed a cost estimation model for security industry. Industry-specific service factors are defined and service levels are determined by Interviews with experts. The proposed model is tested and adjusted with empirical data. The new model shows more accurate prediction than previous general models. Future research will be needed to develop outsourcing cost estimation models for other industries and to refine cost models developed in this study.

• Journal of Korea Society of Industrial Information Systems
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• v.17 no.2
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• pp.11-18
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• 2012

Smart Dynamic Pricing has been introduced to address the under-utilised network resources problem in mobile telecommunications systems. In this paper, we investigate the applicability of Smart Dynamic Pricing and its signalling models into Cognitive Radio Systems. Cognitive Radio System is defined as one in which cognitive radios are employed to access shared spectrum and/or dynamically allocated spectrum. Network elements, protocols, traffic and control channels, and system architecture are proposed for the implementation of Smart Dynamic Pricing in Cognitive Radio System. It is found that Smart Dynamic Pricing and its signalling models can be applied to Cognitive Radio Systems.

• International Journal of Internet, Broadcasting and Communication
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• v.8 no.1
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• pp.64-68
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• 2016

These fields are integrated to visualize and finalize the proposed development, in simulation environment. SCADA (supervisory control and data acquisition) systems and distributed control systems (DCSs) are widely deployed in all over the world, which are designed to control the industrial infrastructures, in real ways. To supervise and control the various parts of designed systems; trends to require a deep knowledge to understand the overall functional needs of industries, which could be a big challenge. Industrial field devices (or network sensors) are usually distributed in many locations and are controlled from centralized site (or main control center); the communication provides various signs of security issues. To handle these issues, the research contribution will twofold: a method using cryptography is deployed in critical systems for security purposes and overall transmission is controlled from main controller site. At controller site, multimedia components are employed to control the overall transmission graphically, such as system communication, bytes flows, security embedded parameters and others, by the means of multimedia technology.

• International Journal of Control, Automation, and Systems
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• v.2 no.2
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• pp.220-227
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• 2004

This paper describes the design and implementation techniques of a generic Internet-based telerobotic system. The purpose is to make available the precious technical information and hands-on experience of the authors for the research community. The paper is based on the telerobotics system that the authors recently implemented between KAIST, Korea and Saga University, Japan. In its current functionality, two control modes: high-level supervisory control and low-level supervisory control are explored demonstrating their merits and demerits.

• Journal of the Society of Disaster Information
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• v.6 no.2
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• pp.87-106
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• 2010

This research focused on the effect of the GIS, uIT, and RS based smart disaster systems. Ubiquitous IT strongly involved in intelligent analysis for the natural disasters. Remote sensing technologies, such as hyper-spectral imaging, MODIS, LiDAR, Radar, and optical imaging processes, can contribute many means of investigation for the natural and unnatural problems in the atmosphere, hydrosphere, and lithosphere. Recent IT trends guides abundant smart solutions, such as automatic sensing using USN, RFID, and wireless communication devices. Smart monitoring systems using intelligent LBSs will produce many ways of checking, processes, and controls for the human safeties. In results, u-smart GIS, uIT, and RS based disaster systems must be using ubiquitous IT involved smart systems using intelligent GIS methods.

• Journal of Information Processing Systems
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• v.8 no.4
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• pp.539-554
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• 2012

Model-driven and component-oriented development is increasingly being used in the development of embedded systems. When combined, both paradigms provide several advantages, such as higher reuse rates, and improved system quality. Performing model-driven and component-oriented development should be accompanied by a component model and a method that prescribes how the component model is used. This article provides an overview on the MARMOT method, which consists of an abstract component model and a methodology for the development of embedded systems. The paper describes a feasibility study that demonstrates MARMOT's capability to alleviate system design, verification, implementation, and reuse. Results indicate that model-driven and component-based development following the MARMOT method outperforms Agile development for embedded systems, leads to maintainable systems, and higher than normal reuse rates.