• Title/Summary/Keyword: Quantitative measure

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Development of the Scale to Measure the Logistics Service Quality (물류서비스품질의 측정을 위한 척도개발에 관한 연구)

  • Kang, Gi-Du;Ahn, Seung-Ho;Chai, Myung-Ki
    • Journal of Korean Society for Quality Management
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    • v.36 no.2
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    • pp.45-58
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    • 2008
  • The importance of quality logistics service to the enterprises has kept growing considering the fierce competitions. It also asks for the sound definition and the scale explaining the construct of logistics service quality. The current study attempted to identify the construct of logistics service quality and develop the scale to measure it. Various qualitative and quantitative methodologies have been employed in order to provide the solid theoretical and psychometrical foundation of the proposed scale. In so doing, the conceptual definition of Logistics Service quality has been proposed and the 127-item scale measuring the construct of logistics service quality has been developed and found to be reliable and valid.

모호가중점검목록을 이용한 제품의 감성파악에 관한 연구

  • 박경수;정광태
    • Proceedings of the ESK Conference
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    • 1995.04a
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    • pp.25-29
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    • 1995
  • When we design a product, we need to consider human sensibility for the product. In this study, we developed a technique to measure human sensibility for a product. Because human sensibility for a product is very subjective and fuzzy, it is hard to measure easily. To deal with this difficulty effectively, we used fuzzy-weighted checklist to this problem. The fuzzy- weighted checklist presents a fuzzy version of the weighted checklist technique computerized for evaluating or comparing complex system (or subjects). In this technique, we used pairwise comparison to get the relative weights of wensibility factors. Also, we used linguistic ratings to get the scores of sensibility factors for a product. Then, we synthesize the scores of sensi- bility factors to get fuzzy composite score (and linguistic approximation). If there are several alternatives, we can conduct alternative comparison. Finally, we wrote the program of this technique by Quick Basic software. As an example, this technique applied to car. The results show that we can use this technique effectively to the quantitative evaluation of human sensibility

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An Evaluation of the Operational Effectiveness of the Local Military Manpower Administrations Using IDEA Model (IDEA모델을 이용한 지방병무청 운영효율성 평가)

  • Lee Jae-Yeong
    • Korean Management Science Review
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    • v.22 no.1
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    • pp.1-13
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    • 2005
  • This paper proposed a quantitative evaluation method to measure the operational effectiveness of the local military manpower administrations. The proposed method compared the relative operational effectiveness level for 12 local military manpower administrations in Korea.. The method used the IDEA (imprecise Data Envelopment Analysis) model which Is able to measure relative operational effectiveness level, and also used two input variables (labor cost, operational cost) and three output variables (number of military applicants, number of civil application approved & processed, management accuracy level). Through the model output analysis, we presented the relative effectiveness scores, the reason for non-effectiveness, and the relationship between non-effective ness level and input/output variables for each local military manpower administration. We also presented a few recommendations how to improve the effectiveness level on particular local military manpower administration.

Relaxing Queries by Combining Knowledge Abstraction and Semantic Distance Approach (지식 추상화와 의미 거리 접근법을 통합한 질의 완화 방법론)

  • Shin, Myung-Keun;Park, Sung-Hyuk;Lee, Woo-Key;Huh, Soon-Young
    • Journal of the Korean Operations Research and Management Science Society
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    • v.32 no.1
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    • pp.125-136
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    • 2007
  • The study on query relaxation which provides approximate answers has received attention. In recent years, some arguments have been made that semantic relationships are useful to present the relationships among data values and calculating the semantic distance between two data values can be used as a quantitative measure to express relative distance. The aim of this article is a hierarchical metricized knowledge abstraction (HiMKA) with an emphasis on combining data abstraction hierarchy and distance measure among data values. We propose the operations and the query relaxation algorithm appropriate to the HiMKA. With various experiments and comparison with other method, we show that the HiMKA is very useful for the quantified approximate query answering and our result is to offer a new methodological framework for query relaxation.

A Study on Real-Time Vision-Based Detection of Skin Pigmentation

  • Yang, Liu;Lee, Suk-Hwan;Kwon, Seong-Geun;Kwon, Ki-Ryong
    • Journal of Multimedia Information System
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    • v.1 no.1
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    • pp.77-85
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    • 2014
  • Usually, the skin pigmentation detection and diagnosis are made by clinicians. In this process it is subjective and non-quantitative. We develop an approach to detect and measure the different pigmentation lesions base on computer vision technology. In the paper we study several usually used skin-detecting color space like HSV, YCbCr and normalized RGB. We compare their performance with illumination influence for detecting the pigmentation lesions better. Base on a relatively stable color space, we propose an approach which is RGB channels vector difference characteristic for the detection. After the object region detection, we also use the difference to measure the difference between the lesion and the surrounding normal skin. From the experiment results, our approach can effectively detect the pigmentation lesion, and perform robustness with different illumination.

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Quantitative Measure of the Changes of Migration Patterns Using Cosine Similarity (코사인 유사도를 이용한 이주패턴 변화의 정량적 측정)

  • Han, Yicheol
    • Journal of Korean Society of Rural Planning
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    • v.23 no.2
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    • pp.67-74
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    • 2017
  • Migration is defined as the movement of people between residential places, and represents interactions between regions. Changes in migration involve changes in both the number of migrants toward/from regions and migration patterns across regions. However, most migration studies have focused only on the change in migrants, while no empirical study captures changes in migration patterns. In this paper, I present a function using the cosine similarity to measure changes in migration patterns, and apply it to 2001-2016 migration data of Korea. The results show that the migration patterns of Korea shifted in 2007, resulting in two distinct clusters. Local areas experienced various migration pattern changes despite few changes in the number of migrants.

A study on Quantitative measure for Simulator Sickness in Driving Simulator (Driving Simulator에서 Simulator Sickness의 정량적 측정에 관한 연구)

  • 김도회;박민용;이근희
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.21 no.48
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    • pp.165-175
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    • 1998
  • The purpose of this study is to propose and to apply new Revised Simulator Sickness Questionnaire(RSSQ) that is effective quantification tool by revising and complementing SSQ because Simulator Sickness Questionnaire(SSQ), which is being used generally to quantify Simulator Sickness has several problems. For this study, we reduced 31 symptoms that are related to Simulator Sickness to 22 symptoms and derived weighting for each other from 15 experts. We developed new RSSQ with 22 symptoms and implemented factor analysis by using 142 RSSQ which is questioned before and after getting on simulator. It was classified to four major symptom groups as the result of the factor analysis. They are Disorientation, Oculomotor, Nausea, and Confuse. The scoring system of RSSQ provides subscales score of Disorientation, Oculomotor, Nausea, and Confuse as well as total severity. The scoring system of RSSQ which is proposed by this study is expected to improve accuracy of measure compared with an existing scoring system of SSQ, and to contribute with understanding the effect of Simulator Sickness more adequately and clearly.

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Repetitive Periodic Motion Planning and Directional Drag Optimization of Underwater Articulated Robotic Arms

  • Jun Bong-Huan;Lee Jihong;Lee Pan-Mook
    • International Journal of Control, Automation, and Systems
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    • v.4 no.1
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    • pp.42-52
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    • 2006
  • In order to utilize hydrodynamic drag force on articulated robots moving in an underwater environment, an optimum motion planning procedure is proposed. The drag force acting on cylindrical underwater arms is modeled and a directional drag measure is defined as a quantitative measure of reaction force in a specific direction in a workspace. A repetitive trajectory planning method is formulated from the general point-to-point trajectory planning method. In order to globally optimize the parameters of repetitive trajectories under inequality constraints, a 2-level optimization scheme is proposed, which adopts the genetic algorithm (GA) as the 1st level optimization and sequential quadratic programming (SQP) as the 2nd level optimization. To verify the validity of the proposed method, optimization examples of periodic motion planning with the simple two-link planner robot are also presented in this paper.

FEM and Ultrasonic Testing for Adhesive Joints Strength of Thin Metal Sheets (금속재료의 접착이음부에 대한 유한요소해석과 초음파실험)

  • Oh, S. K.;Hwang, Y. T.;Jang, C. S.;Oh, S. S.;Yi, W.
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 1997.10a
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    • pp.726-730
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    • 1997
  • One approach to testing the suitability of an adhesive joint for a particular application is to build and test to destruction a representativc, sample of the joini. The noncdestructive test will not measure strength directly but will measure a parameter which can be correlated to strength. It is thercforc, essential that a suitable nondestructive rest is chosen and that its results are correctly intcrpreted. In this paper, typical Ultrasonic Signal Analysis in adhesive joints are cvaluatcci together with Interface Stress from the result of Finite Elenlent Method.

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Document Retrieval using Concept Network (개념 네트워크를 이용한 정보 검색 방법)

  • Hur, Won-Chang;Lee, Sang-Jin
    • Asia pacific journal of information systems
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    • v.16 no.4
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    • pp.203-215
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    • 2006
  • The advent of KM(knowledge management) concept have led many organizations to seek an effective way to make use of their knowledge. But the absence of right tools for systematic handling of unstructured information makes it difficult to automatically retrieve and share relevant information that exactly meet user's needs. we propose a systematic method to enable content-based information retrieval from corpus of unstructured documents. In our method, a document is represented by using several key terms which are automatically selected based on their quantitative relevancy to the document. Basically, the relevancy is calculated by using a traditional TFIDF measure that are widely accepted in the related research, but to improve effectiveness of the measure, we exploited 'concept network' that represents term-term relationships. In particular, in constructing the concept network, we have also considered relative position of terms occurring in a document. A prototype system for experiment has been implemented. The experiment result shows that our approach can have higher performance over the conventional TFIDF method.