• Journal of Information Technology Services
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• v.12 no.2
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• pp.373-386
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• 2013

The purpose of this research is to develop a model for efficient service R&D investment in government budgeting process. It is necessary to develop an efficient and effective investment model to improve competitiveness of the service industry and national economy. Various existing types of service R&D classification have been reviewed. And object-oriented service R&D request classification types have been derived. A tentative model for evaluating service R&D requests have been developed through extensive discussions on effective methodologies. The model has been refined and revised by four service budgeting experts. The revised and refined checklists and guidelines have been used for 40 real service R&D requests evaluations. As a result, a full model for service R&D evaluation and budgeting has been proved to be useful. Also, a need for more efficient and concise evaluation model has been raised through this evaluation process. A brief model with only 10 checklists has been developed and its usefulness has been proven by pilot test with 10 real service R&D requests. The results of this study can be used for evaluation of service R&D proposals and effective budgeting of R&D requests for improving global competitiveness. Further research is needed for refining the developed evaluation models.

• Korean Journal of Veterinary Service
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• v.19 no.1
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• pp.55-64
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• 1996

• Proceedings of the IEEK Conference
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• 2004.06a
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• pp.171-174
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• 2004

Packet classification is an essential architectural component in implementing the quality-of-service (QoS) in today's Internet which provides a best-effort service to ail of its applications. Multiple header fields of incoming packets are compared against a set of rules in packet classification, the highest priority rule among matched rules is selected, and the packet is treated according to the action of the rule. In this Paper, we proposed a new packet classification scheme based on parallel multiple hashing on tuple spaces. Simulation results using real classifiers show that the proposed scheme provides very good performance on the required number of memory accesses and the memory size compared with previous works.

• Journal of the Korea Institute of Building Construction
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• v.8 no.1
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• pp.63-70
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• 2008

Management process of apartment buildings construction has increased because the after service of construction company meet the needs of customers. Many defect data, which was inspected by construction company or customers before moving into a new apartment house, were classified by field engineers and then communicated to corresponding subcontractors. The classification process needs to be performed by an expert engineer because there is so much data, it is unfeasible to complete in a short period of time. For this classification process, an automatic classification system using case base reasoning (CBR) should be considered. This research proposed a defect management system with automatic classification system using CBR. This constructed defect management system consists of cyber after service system for tenants and the whole defect management process of construction, preservation and management of apartment buildings. This system could improve the efficiency of expert work in terms of time and accuracy, as well as helping laymen users to conduct defect classification work as experts do.

• Journal of KIISE:Information Networking
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• v.36 no.3
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• pp.153-162
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• 2009

It is a challenging work for service operators to accurately classify different services, which runs on various wireless networks based upon numerous platforms. This works focuses on design and implementation of a classifier, which accurately classifies applications, which are captured horn WiBro Network. Notion of session is introduced for the classifier, instead of commonly used Flow to develop a classifier. Based on session information of given traffic, two classification algorithms are presented, Classification and Regression Tree and Support Vector Machine. Both algorithms are capable of classifying accurately and effectively with misclassification rate of 0.85%, and 0.94%, respectively. This work shows that classifier using CART provides ease of interpreting the result and implementation.

• Analytical Science and Technology
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• v.34 no.5
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• pp.231-239
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• 2021

Detection of fire accelerants from fire residues is critical to determine whether the case was arson or accidental fire. However, to develop a standardized model for determining the presence or absence of fire accelerants was not easy because of high temperature which cause disappearance or combustion of components of fire accelerants. In this study, logistic regression, random forest, and support vector machine models were trained and evaluated from a total of 728 GC-MS analysis data obtained from actual fire residues. Mean classification accuracies of the three models were 63 %, 81 %, and 84 %, respectively, and in particular, mean AU-PR values of the three models were evaluated as 0.68, 0.86, and 0.86, respectively, showing fine performances of random forest and support vector machine models.

• Journal of Oral Medicine and Pain
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• v.30 no.2
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• pp.257-268
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• 2005

It is recently suggested in Korea that Resource-Based Relative Value Scale (RBRVS) is an alternative plan of Korean Dental Fee Schedule which has been operated on a fee-for-service basis since the introduction of the national health insurance program in 1977. RBRVS applicable to diagnosis and treatment for temporomandibular disorders (TMD), a common cause of orofacial pain, is needed to be estimated in Korea and the establishment of the standard terminology of dental procedures for TMD should be preceded. The purposes of this study were to develop a new classification system of health care service items for TMD and to investigate time needed for each item, which enables RBRVS to be estimated prior to establishment the payment system of health care services for TMD. The dental service items for TMD in this study were categorized through Delphi process which 10 TMD specialists were participated in and the time needed for each service item was investigated by work sampling and time study method with a stopwatch. The results of this study demonstrated the new classification system of dental services for TMD comprising 151 service items and exhibited the average time for each items ranging from 7.22 min for cold laser therapy to 171.71 min for direct fabrication of anterior repositioning splint. Conclusively, it is suggested that the classification system for TMD developed in this study, considering specific characteristics on basis of resources for health care service of dental procedures, should be helpful to estimate payment level for each service item.

• Journal of Information Technology Services
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• v.5 no.2
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• pp.137-153
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• 2006

SOA(Service Oriented Architecture) can be a technique to make compassable software from mapping business service to software component. To support effective SOA, it is important that services have to be defined or classified more independently for dynamic and reusable composition. Several methods have been issued but no ways to defined service granularities, service type or service unit. In this paper we introduce 3 level views, service level, service granularity to reuse effectively. And, we suggest service definition guidelines using them.

• Journal of Korea Multimedia Society
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• v.10 no.4
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• pp.470-482
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• 2007

In this paper, we classify next generation mobile communications services into service categories and develop service evolution scenarios for developing the next generation mobile communications service roadmap in NGMC Forum. Firstly, Service categories are defined based on the purpose of service usage. Secondly, the services are classified into the categories and their relationship is analyzed. The candidates of services to be classified and analyzed include all kinds of services discussed in a conceptual level as well as current mobile/Internet services. Finally, we develop a service evolution scenario in each service category. When the next generation service road map is developed based on the results of this paper, it is expected to secure the initiative and enhance the competitive edge in the field of the next generation mobile communications.

• Journal of Korean Society for Geospatial Information Science
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• v.17 no.4
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• pp.81-86
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• 2009

This research is a part of the Intelligent Urban Facility Management project of the Korean Land Spatialization Group (KGSL). First, this study started from the investigation of existing u-City service model in order to drive essential components and considerations for the urban facilities management system. Considering the driven conclusions, this study finally proposed the new classification system of urban facilities management service model and the adequate application method in u-City.