• Korean Management Science Review
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• v.12 no.3
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• pp.17-44
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• 1995

The changing business environment requires that firms reengineer their fundamental processes in order to retain their competitive advantage. Most Business Proess Reengineering (BPR) projects, however, have failed partly because the essential enabler, ie. information technology, was unable to perpetuate the original vision. The information systems were unable to support the collaboration among the workers participating in the process. Workflow Management Systems (WfMS) have the potential to enhance not only individual performance as did traditional information systems, but also the group performance essential to the success of BPR by providing an effective means of communications through connectivity. It also enhances productivitiy through proceduralization of the fundamental processes, thus making it possible to empower the employee even while it controls the flow, and ultimately the delaly that originally made the BPR effort necessary. Therefore, though it is not a panacea, WfMS's can improve chances for the success of BPR projects. Managers who have realized this are faced with another obstacle - that of selecting the WfMS that best meets the particular organization's needs. This paper provids an evaluation structure of WfMS functions with emphasis on those functions that are essential for BPR, classifying the functions into an attribute hierarchy according to the Analytic Hierarchy Process (AHP) approach. It also suggests specific evaluation criteria for the main workflow functions provided by most vendors today, thus providing managers with a comprehensive guideline to facilitate the decision process.

• International Journal of Automotive Technology
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• v.3 no.2
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• pp.63-70
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• 2002

Future on-board vehicle control systems can be further improved through new types of mechatronic systems. In particular, these systems' capacities for interaction enhance safety, comfort and economic viability. The Automotive Engineering Department (fzd) of darmstadt University of Technology is engaged in research of the mechatronic vehicle corner, which consists of three subsystems: sensor tire, electrically actuated wheel brake and smart suspension. By intercommunication of these three systems, the brake controller receives direct, fast and permanent information about dynamic events in the tire contact area provided by the tire sensor as valuable control input. This allows to control operation conditions of each wheel brake. The information provided by the tire sensor for example help to distinguish between staightline driving and cornering as well as to determine $\mu$-split conditions. In conjunction with current information of dynamic wheel loads, tire pressures and friction tyre/road, the ideal brake force distribution can be achieved. Alike through integration of adaptive suspension bushings, elastokinematic behaviour and wheel positions can be adapted to manoeuver-oriented requirements.

• Journal of Korea Society of Industrial Information Systems
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• v.11 no.3
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• pp.59-68
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• 2006

Recently, introduction of Open Source Software into informatization of the government and public sector has been actively examined, however, Open Source Software is being rarely adopted due to the lack of verified and reliable data with regard to the criteria, process, performance and stability for introduction of Open Source Software. In this paper, the process, method and plan for performance verification for introduction of Open Source Software into mission critical systems of the government and public sector are suggested in order to solve the aforesaid problem Specially, a test system to judge whether or not to adopt Open Source Software in school affairs system of the NEIS(National Education Information System) of the Korean government was set up, and the method and process of performance verification by stage in addition to feasibility study were applied to the test system for verification. Based on the result of performance evaluation in the test system, the application of Linux to school affairs system of the NEIS is being successfully practiced. It is expected that this study will be a guideline to technical review process and performance verification method as necessary to introduce Open Source Software into the mission critical systems of government and public agencies.

• Journal of Intelligence and Information Systems
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• v.4 no.1
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• pp.115-131
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• 1998

Customer service process is one of the most important processes in today's competitive business environment. Among the various activities of customer service process, equipment malfunction diagnosis activity should be performed fast and accurately. When a customer calls the service center and reports the observed symptoms, he/she describes them in layman's terms. Therefore, the customer-reported symptoms have not been considered helpful information for service representatives. However, in order to perform diagnosis activity fast and accurately, we need to make use of the customer-reported symptoms actively. In this research, we developed three systems called R-EMD (Rule-based Equipment Malfunction Diagnostic system), C-EMD (Case-based Equipment Malfunction Diagnostic system) and R&C-EMD (Rule & Case-based Equipment Malfunction Diagnostic system), each of which diagnoses equipment malfunctions using the customer-reported symptoms. R&C-EMD is a hybrid system that utilizes both rule-based and case-based technologies. The diagnosis rules used in R&C-EMD and R-EMD were not acquired from service manuals or interviews with service representatives. Rater, we extracted them directly from the past diagnosis cases based on symptoms' frequencies. By this way, we were able to overcome the knowledge acquisition bottleneck. Using the real 100 malfunction diagnosis cases, we evaluated the performances of R&C-EMC, R-EMD and C-EMD in terms of speed and accuracy. In diagnosis time, R&C-EMD took longer than R-EMD and shorter than C-EMD. However, R&C-EMC was the best in accuracy.

• Journal of Korea Society of Industrial Information Systems
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• v.7 no.1
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• pp.10-15
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• 2002

It is presented to extended to an interaction matrix formulation to the problem of system and disturbance identification for a plant that is corrupted by both process and output disturbances. With only an assumed upper bound on the order of the system and an assumed upper bound on the number of disturbance frequencies, it is shown that both the disturbance-free model and disturbance effect can be recovered exactly from disturbance-corrupted input-output data without direct measurement of the periodic disturbances. The rich information returned by the identification can be used by an iterative learning or repetitive control system to eliminate unwanted periodic disturbances. Those can be helped to apply to the multiple dynamic systems for precision quality assurance.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.13 no.10
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• pp.2019-2029
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• 2009

There are several MCS(Monitoring, Control and Surveillance) systems for maritime safety and security in Korea; VMS (Vessel Monitoring System) that based on the AIS(Automatic Identification System), and the LRIT(Long-Range Identification and Tracking), the Vessel Free Pass System that based on the RFID(Radio Frequency IDentification), the Fisheries Information Network that provided by the National Federation of Fisheries Cooperatives. This paper surveys the fundamental technologies of MCS systems, and compares the role and function of them. It also surveys the development direction of each systems and research topics for cooperation of them.

• Asia pacific journal of information systems
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• v.25 no.1
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• pp.1-24
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• 2015

Electronic Commerce or e-commerce implies such an industry where goods and services are bought and sold over electronic systems. This is rapidly growing sectors in Bangladesh which influence local and international trade. Government of Bangladesh has also initiated quite a good number of measures for the expansion of e-commerce. However, low adoption of e-commerce is not uncommon in Bangladesh. The objective of this study is to determine the factors that influence the adoption of e-commerce services in Bangladesh. Extended version of Technology Acceptance Model (TAM) is envisaged as the theoretical backbone of the study. Reliability analysis using Cronbach's Alpha test indicates that the research model is internally consistent. The study reveals that 35 percent of respondents became interested in e-commerce services from advertisement on Internet or other electronic media. The findings of the study shows that all the four constructs, namely-Computer Self Efficacy, Perceived Credibility, Perceived Usefulness and Perceived Ease of Use have significant effect on the adoption of e-commerce. The study has also demonstrated that Perceived Usefulness appeared as the most important factor in describing user's adoption of e-commerce.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.27 no.4
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• pp.147-156
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• 2004

Recently, there is the trend that online and reuse have been focused via digitalization of information and business process that individuals, government and firms own. This study, by designing and implementing a system, has the aim to provide on-line information about the classes and related classes to students on real time. Furthermore, with this system, the students can easily search the necessary class information and understand the curriculum structure. Thus he or she can make a decision about classes and moreover his and her career development. Also this system has been designed to be managed with ease and has more expandibility. Thus this is expected to affect the effort of universities and research centers that the online systems and digital contents have been more applied in order to adapt toward rapidly changing education environment.

• Spatial Information Research
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• v.3 no.1
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• pp.39-46
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• 1995

Rural water resources systems may be largely constituted by two parts. One is rural water supply systems such as reservoirs, wells, pumping stations. The other is rural water demand systems which include municipal water, irrigation water, industrial water, livestocks water, inland fisheries water and envir¬onmental water in rural areas. planning to develop rural water resources systems is a very hard task because of their complicated factors and the large number of spatial data to investigate and manipulate. A Geographic Information SystemCGIS) will be a powerful and efficient tool to handle the spatial data and to plan the land use. All data can be efficiently maintained and easily updated. This paper refers to the construction of a GIS for planning rural water resources systems applied to Kokseong County, Cheonnam Province, Republic of Korea. The Geographic Informa¬tion was constituted by 4 layers of base map and 11 layers of thematic map.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.17 no.8
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• pp.2030-2052
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• 2023

Analysis of a bipartite (two-mode) network is a significant research area to understand the formation of social communities, economic systems, drug side effect topology, etc. in complex information systems. Most of the previous works talk about a projection-based model or latent feature model, which predicts the link based on singular similarity. The projection-based models suffer from the loss of structural information in the projected network and the latent feature is hardly present. This work proposes a novel method for link prediction in the bipartite network based on an ensemble of composite similarities, overcoming the issues of model-based and latent feature models. The proposed method analyzes the structure, neighborhood nodes as well as latent attributes between the nodes to predict the link in the network. To illustrate the proposed method, experiments are performed with five real-world data sets and compared with various state-of-art link prediction methods and it is inferred that this method outperforms with ~3% to ~9% higher using area under the precision-recall curve (AUC-PR) measure. This work holds great significance in the study of biological networks, e-commerce networks, complex web-based systems, networks of drug binding, enzyme protein, and other related networks in understanding the formation of such complex networks. Further, this study helps in link prediction and its usability for different purposes ranging from building intelligent systems to providing services in big data and web-based systems.