• IE interfaces
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• v.17 no.2
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• pp.169-179
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• 2004

In supply chain management, supplier capacity is very important to meet the customer demand quickly. This paper studies a supplier evaluation structure and then suggests a methodology using fuzzy theory for selecting an effective supplier. Several quantitative and qualitative evaluation factors should be analyzed in the evaluation structure. The qualitative factors includes not only product and service qualities but financial condition. The methodology deals with both the quantitative and qualitative factors together through fuzzy inference. A case study is also presented to show how to choose the best one among potential suppliers.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.8 no.12
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• pp.4269-4292
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• 2014

Currently, increasing numbers of access points (AP) are being deployed in enterprise offices, campuses and municipal downtowns for flexible Internet connectivity, but most of these access points are idle or redundant most of the time, which causes significant energy waste. Therefore, with respect to power conservation, applying energy efficient strategies in WIFI networks is strongly advocated. One feasible method is dynamically managing network resources, particularly APs, by powering devices on or off. However, when an AP is powered on, the device is initialized through a long boot time, during which period clients cannot be associated with it; therefore, the network performance would be greatly impacted. In this paper, based on a global view of an entire WLAN, we propose an AP selection technology, known as Temporary Access Selection (TAS). The criterion of TAS is a fusion metric consisting of two evaluation indexes which are based on throughput and battery life, respectively. TAS is both service and clients' preference specific through balancing the data rate, battery life and packet size. TAS also works well independently in traditional WLANs in which no energy efficient strategy is deployed. Moreover, this paper demonstrates the feasibility and performance of TAS through experiments and simulations with Network Simulator version 3 (NS3).

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.31 no.4
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• pp.121-144
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• 2020

The purpose of this study is to suggest the site selection of U-library in Daejeon. For this study, through literature research and analysis of the current status of U-library in Korea, evaluation indicators for the site selection are derived, and based on this, the location of the public library, the radius of the proposed location, the transport performance by subway station, government offices, transportation facilities, convenience facilities, the current status of major facilities and the number of residents by region were analyzed and applied. Finally, based on the analysis results, a total of 16 U-library locations were proposed in the five autonomous districts in Daejeon: 2 in Daedeok-gu, 2 in Dong-gu, 4 in Seo-gu, 6 in Yuseong-gu, and 2 in Jung-gu.

• Korean Journal of Clinical Pharmacy
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• v.34 no.1
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• pp.62-70
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• 2024

Background: Drug-related problems have the potential to threaten patient health, and pharmacists are in a position to prevent such problems through prescription reviews and patient counseling, actively engaging in pharmaceutical care activities. This study aims to categorize and analyze the intervention activities of pharmacists in community pharmacies concerning drug-related problems, following international criteria. Methods: Over a six-month period, prescription interventions completed in a community pharmacy in Seoul were selected as the research subjects. The causes of interventions were classified according to the Pharmaceutical Care Network Europe (PCNE) drug-related problems (DRPs) classification system and the types and frequencies of DRPs were identified. Results: Among a total of 49,334 prescriptions, 527 interventions were completed, constituting approximately 1.07% of the daily average filled prescriptions. Individuals over 60 years of age represented more than 50%. The primary cause of DRPs was prescribing and drug selection issues, comprising 256 cases (48.58%), with specific subcategories including 109 cases of drug selection, 79 cases of treatment duration errors, 47 cases of dose selection, and 21 cases of inappropriate dosage form selection. Patient-related issues accounted for 204 cases (38.71%). Conclusion: The study demonstrated that the pharmacists' intervention in community pharmacies contributes to the safe use of medication by patients.

• Proceedings of the Korea Information Assurance Society Conference
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• 2004.05a
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• pp.141-144
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• 2004

The Common Criteria (CC) philosophy is to provide assurance based upon an evaluation of the IT product or system that is to be trusted. Evaluation has been the traditional means of providing assurance. It is essential that not only the customer' srequirements for software functionality should be satisfied but also the security requirements imposed on the software development should be effectively analyzed and implemented in contributing to the security objectives of customer's requirements. Unless suitable requirements are established at the start of the software development process, the resulting end product, however well engineered, may not meet the objectives of its anticipated consumers. By the security evaluation, customer can sure about the quality of the products or systems they will buy and operate. In this paper, we propose a selection guide for If products by showing relationship between security engineering and security evaluation and make help user and customer select appropriate products or system.

• Journal of the Korean Operations Research and Management Science Society
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• v.24 no.4
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• pp.1-12
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• 1999

This paper presents a DEA-AHP hybrid model to evaluate and select R&D projects. AHP collects and processes information on the weights of evaluation criteria. The processed information is used as an input for DEA/AR model. Only desirable number of projects are selected by the hybrid model. The model is examined by an example generated from a real data set.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.17 no.31
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• pp.73-80
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• 1994

Sequentiality in decision making is an inherent characteristic of the R&D Process, Conceptual changes are noted during the Course of the Project which represent a continuous improvement in the quality of the data available during the various project stages. In this paper, Eight characteristic types of project evaluation models have been developed economic index models, portfolio models, decision theory models, risk analysis models, frontier models, scoring models, profile models and checklists. Each of these will be critically reviewed and appraised.

• Management & Information Systems Review
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• v.4
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• pp.67-88
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• 2000

The purpose of this study is to present models for evaluation and selection of DataBase Management Systems(DBMS) suppliers. The major concern of management is that most decision problems have multiple, usually conflicting, criteria. The fuzzified multiple-objective programming models are given to accomodate the aspiration level and satisfaction level of decision makers. The proposed models are classified into two types, that is, pre-emptive priority and interpolated non-membership function model. Numerical examples illustrating each type of model are presented and the implications of these models are discussed.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.36 no.5
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• pp.867-879
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• 2016

Since the 1970s, the region of its own pedestrian center and environmental pollution caused by exhaust gases have been reduced gradually in a continuous increase of the vehicle, school route the central business district, around the school, the sidewalk where the vehicle do not pass, facilities of minimum for the safety of pedestrians and systematic management of an area where an unspecified number and alleys impassable is insufficient. Recently, in response to the "Law for convenience enhancing safety and walking" is enforced in Korea, research on Pedestrian only Street has been actively about the government, the standard for calculating the weights of evaluation associated with it. it is a actuality, however, there are insufficient, evaluation for business promotion is being conducted evaluation polite manner by using, for example, scale residence time and purpose of the passengers as there is no car that has been carried out on a voluntary basis through the municipality have. In this study, by suggesting a method for the selection of the street without a car, make a survey by placing a purpose in the selection method presentation of the street with no car to be construction future, was researching. F.G.I (Focus Group Interview) survey, professors, staff in urban, traffic field of experts in order to present the weights for the evaluation of the Pedestrian only Street by using the evaluation index by type of Pedestrian only Street, was interviewed about the evaluation index for the conducted for professionals engaged in the engineering company, and randomly selected 200 peoples, weighted evaluation of the street with Pedestrian only Street was proposed. By classifying the items purpose and goals of the evaluation type by this by applying the weight, and present the weight of the detailed indicators each corresponding to each item, and scored on the basis of the result, in this paper it can be so that one methodology for the selection standard for the construction as Pedestrian only Street, and the weight of the evaluation of the type that has been derived, the selection and evaluation methods and then added to these criteria to settle careful study of the reference should be performed further.

• Advances in Energy Research
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• v.6 no.2
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• pp.91-101
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• 2019

This paper proposes an efficient data-driven approach to build models for predicting energy consumption in buildings. Data used in this research is collected by installing humidity and temperature sensors at different locations in a building. In addition to this, weather data from nearby weather station is also included in the dataset to study the impact of weather conditions on energy consumption. One of the main emphasize of this research is to make feature selection independent of domain knowledge. Therefore, to extract useful features from data, two different approaches are tested: one is feature selection through principal component analysis and second is relative importance-based feature selection in original domain. The regression model used in this research is gradient boosting regression and its optimal parameters are chosen through a two staged coarse-fine search approach. In order to evaluate the performance of model, different performance evaluation metrics like r2-score and root mean squared error are used. Results have shown that best performance is achieved, when relative importance-based feature selection is used with gradient boosting regressor. Results of proposed technique has also outperformed the results of support vector machines and neural network-based approaches tested on the same dataset.