• 약학회지
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• 제53권5호
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• pp.265-273
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• 2009

The aims of this study are to conduct meta-analysis for obtaining pooled estimates of the utility weight for stroke and to explore the study design characteristics that determine the utility weight for stroke. Medline (Pubmed), CEA Registry (Tufts Medical Center), and KERIS (Korea Education & Research Information Service) were searched to find out the literature that reported quality of life with stroke. Patient characteristics, utility weights and standard errors were extracted and stratified by severity, study method, respondent and country. All estimates were measured on a 0 to 1 scale with 0 representing the death and 1 representing the perfect health. The pooled estimates of the utility weight were 0.627 for total stroke, 0.756 for mild stroke, 0.631 for moderate stroke, and 0.389 for severe stroke (p=0.0001). Non-patients showed significantly lower utility weights than patients for severe (p=0.0122) stroke.

• Computers and Concrete
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• 제32권1호
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• pp.15-26
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• 2023

In order to study the anti-seismic performance of full light-weight concrete utility tunnel, EL Centro seismic waves were input, and the seismic simulation shaking table test was carried out on the four utility tunnel models. The dynamic characteristics and acceleration response of the system consisting of the utility tunnel structure and the soil, and the interlayer displacement response of the structure were analyzed. The influence law of different construction methods, haunch heights and concrete types on the dynamic response of the utility tunnel structure was studied. And the experimental results were compared with the finite element calculation results. The results indicated that with the increase of seismic wave intensity, the natural frequency of the utility tunnel structure system decreased and the damping ratio increased. The assembling composite construction method could be equivalent to replace the integral cast-in-place construction method. The haunch height of the assembling composite full light-weight concrete utility tunnel was increased from 30 mm to 50 mm to enhance the anti-seismic performance during large earthquakes. The anti-seismic performance of the full light-weight concrete utility tunnel was better than that of the ordinary concrete utility tunnel. The peak acceleration of the structure was reduced by 21.8% and the interlayer displacement was reduced by 45.8% by using full light-weight concrete. The finite element simulation results were in good agreement with the experimental results, which could provide reference for practical engineering design and application.

• 한국임상약학회지
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• 제19권2호
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• pp.153-158
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• 2009

Background: Patients with chronic myeloid leukemia(CML) have different health status according to their disease conditions such as chronic phase(CP), accelerated phase(AP), blast crisis(BC), stage with MCyR(Major Cytogenetic Response); therefore, every patient has different quality of life related to their disease condition. Objectives: To measure the quality of life, this study compared and analyzed the utility weight in patients with CML. This study also evaluated the utility weight in order to view comparisons between the quality of life in a patient with CML to a patient with diabetes, which is a representative chronic disease. Methods: The disease scenario described 5 symptoms of the CP, AP, BC of the CML, the CML which gets the MCyR and the diabetes. Utility weight was developed using the EQ-5D method. All statistical data were analyzed by STATA 10.0 Results: 57 nurses(95%) out of 60 answered the questionnaire. In CP, the utility weight was 0.7946. In AP, it was 0.5301. and in BC, it was -0.2793. Survey data indicate that the worse the condition of a disease, the lower the utility weight. In case of the CML which gets the MCyR, the result was 0.7731(95% CI : 0.7384 - 0.8079). The general diabetes which has no complicating disease, the utility weight was 0.7481(95% CI : 0.6983 - 0.7978). Based on the result, it is evident that those with MCyR are not significantly different from people with general diabetes (p=0.4096) in views of the quality of life.

• 약학회지
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• 제52권3호
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• pp.176-181
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• 2008

Stomach cancer shows the highest incidence among cancer patients in Korea and it deteriorates the patients' health-related quality of life considerably. This study measured utility weights of severe stomach cancer symptoms using VAS (Visual Analogue Scale), TTO (Time-trade Off) and EQ-5D (EuroQol-5 Dimension) methods. A survey questionnaire was developed to describe the symptoms of severe stomach cancer comprehensively and concisely using VAS, TTO and EQ-5D. A face-to-face interview was conducted for 21 cancer inpatients in a hospital and 25 non-patients. The mean utility weight is 0.498 for VAS, 0.375 for EQ-5D and 0.300 for TTO. Using VAS or TTO methods, there were no statistically significant differences between patients and non-patients while there was significant difference in EQ-5D. The utility weight with VAS and EQ-5D has shown similar trend - higher score in patient group, male and aged while it has opposite trend with TTO.

• Asia pacific journal of information systems
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• 제18권3호
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• pp.1-20
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• 2008

Based on the multi-attribute utility theory (MAUT), we present a survey method to measure consumer preferences. The multi-attribute utility theory has been used to make decisions in OR/MS field; however, we show that the method can be effectively used to estimate the demand for new services by measuring individual level utility function. Because conjoint method has been widely used to measure consumer preferences for new products and services, we compare the pros and cons of two consumer preference survey methods. Further, we illustrate how swing weighing method can be effectively used to elicit customer preferences especially for new telecommunications services, Multi-attribute utility theory is a compositional approach for modeling customer preference, in which researchers calculate overall service utility by summing up the evaluation results for each attribute. On the contrary, conjoint method is a decompositional approach, which requires holistic evaluations for profiles. Partworth for each attribute is derived or estimated based on the evaluation, and finally consumer preferences for each profile are calculated. However, if the profiles are quite new and unfamiliar to the survey respondents, they will find it very difficult to accurately evaluate the profiles. We believe that the multi-attribute utility theory-based survey method is more appropriate than the conjoint method, because respondents only need to assess attribute level preferences and not holistic assessment. We chose swing weighting method among many weight assessment methods in multi-attribute utility theory, because it is designed to perform in a simple and fast manner. As illustrated in Clemen and Reilly (2001), to assess swing weights, the first step is to create the worst possible outcome as a benchmark by setting the worst level on each of the attributes. Then, each of the succeeding rows "swings" one of the attributes from worst to best. Upon constructing the swing table, respondents rank order the outcomes (rows). The next step is to rate the outcomes in which the rating for the benchmark is set to be 0 and the rating for the best outcome to be 100, and the ratings for other outcomes are determined in the ranges between 0 and 100. In calculating weight for each attribute, ratings are normalized by the total sum of all ratings. To demonstrate the applicability of the approach, we elicited and analyzed individual-level customer preference for new telecommunication services-WiBro and HSDPA. We began with a randomly selected 800 interviewees, and reduced them to 432 because other remaining ones were related to the people who did not show strong intention for subscription to new telecommunications services. For each combination of content and handset, number of responses which favored WiBro and HSDPA were counted, respectively. It was assumed that interviewee favors a specific service when expected utility is greater than that of competing service(s). Then, the market share of each service was calculated by normalizing the total number of responses which preferred each service. Holistic evaluation of new and unfamiliar service is a tough challenge for survey respondents. We have developed a simple and easy method to assess individual level preference by estimating weight of each attribute. Swing method was applied for this purpose. We believe that estimating individual level preference will be quite flexibly used to predict market performance of new services in many different business environments.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제11권1호
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• pp.193-214
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• 2017

In this paper, we study the problem of network utility maximization in a CSMA based multi-hop wireless network. Existing work in this aspect typically adopted continuous time Markov model for performance modelling, which fails to consider the channel conflict impact in actual CSMA networks. To maximize the utility of a CSMA based wireless network with channel conflict, in this paper, we first model its weighted network capacity (i.e., network capacity weighted by link queue length) and then propose a distributed link scheduling algorithm, called CSMA based Maximal-Weight Scheduling (C-MWS), to maximize the weighted network capacity. We derive the upper and lower bounds of network utility based on C-MWS. The derived bounds can help us to tune the C-MWS parameters for C-MWS to work in a distributed wireless network. Simulation results show that the joint optimization based on C-MWS can achieve near-optimal network utility when appropriate algorithm parameters are chosen and also show that the derived utility upper bound is very tight.

• 한국자동차공학회논문집
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• 제10권5호
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• pp.129-137
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• 2002

Elastomers, which are used engine mounts and body mount rubbers, are traditionally designed for NVH use in vehicles, and for vibration isolation in specific frequency range. According to the measurement of the characteristics of the SUV's engine mounts, there are variability in same engine mount properties. Static and dynamic stiffness of the SUV's engine mounts are changed due to the driving miles accumulated. The pre-load of body mount rubbers are changed due to the empty vehicle weight, passenger's weight and gross vehicle weight. And the dynamic stiffness of body mount rubbers are changed very hard above 150Hz frequency range.

• 정보처리학회논문지:소프트웨어 및 데이터공학
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• 제4권11호
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• pp.499-508
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• 2015

높은 유틸리티 항목집합 마이닝은 트랜잭션 데이터베이스에서 사용자가 지정한 최솟값 이상의 유틸리티를 갖는 항목집합들을 항목의 수량과 가중치값을 동시에 고려하여 찾아내는 것이다. 최근에 연구된 유틸리티-리스트 기반의 높은 유틸리티 항목집합 마이닝 알고리즘은 많은 후보 항목집합들을 피하기 위해 제안되었으며 비용이 높은 조인 연산을 수행한다. 본 논문은 유틸리티-리스트 구조에 항목집합의 트랜잭션 유틸리티와 공통 유틸리티 속성을 추가한 새로운 알고리즘을 제안한다. 이 새로운 알고리즘은 조인 연산의 수를 줄이고 탐색 공간을 효과적으로 가지치기한다. 생성 데이터와 실 환경 데이터상의 실험 결과를 통해 제안된 알고리즘이 다른 최근 알고리즘들에 비해 실행 시간 면에서 아주 우수하고, 특히 데이터가 조밀하거나 항목집합의 길이가 긴 경우에 더 효율적이라는 것을 보여준다.

• Journal of information and communication convergence engineering
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• 제21권2호
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• pp.117-129
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• 2023

High-utility itemset mining (HIUM) has emerged as a key data-mining paradigm for object-of-interest identification and recommendation systems that serve as frequent itemset identification tools, product or service recommendation systems, etc. Recently, it has gained widespread attention owing to its increasing role in business intelligence, top-N recommendation, and other enterprise solutions. Despite the increasing significance and the inability to provide swift and more accurate predictions, most at-hand solutions, including frequent itemset mining, HUIM, and high average- and fast high-utility itemset mining, are limited to coping with real-time enterprise demands. Moreover, complex computations and high memory exhaustion limit their scalability as enterprise solutions. To address these limitations, this study proposes a model to extract high-utility frequent closed itemsets based on an improved cumulative summary list structure (CSLFC-HUIM) to reduce an optimal set of candidate items in the search space. Moreover, it employs the lift score as the minimum threshold, called the cumulative utility threshold, to prune the search space optimal set of itemsets in a nested-list structure that improves computational time, costs, and memory exhaustion. Simulations over different datasets revealed that the proposed CSLFC-HUIM model outperforms other existing methods, such as closed- and frequent closed-HUIM variants, in terms of execution time and memory consumption, making it suitable for different mined items and allied intelligence of business goals.

• 한국정보과학회논문지:데이타베이스
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• 제36권5호
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• pp.341-351
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• 2009

유틸리티 패턴 마이닝은 데이터 항목에 대한 다른 가중치를 고려할 수 있는 장점으로 인하여 비즈니스 데이터를 분석하는 환경에서 효율적으로 이용되고 있다. 그러나 기존의 빈발 패턴(Frequent Pattern) 마이닝에서의 Apriori 규칙을 그대로 적용하기 어려운 문제점으로 인하여 패턴 마이닝의 성능이 현저하게 떨어지고 있다. 본 연구는 Prefix-tree를 이용하여 지속적으로 증가하는 비즈니스 트랜잭션 데이터베이스에 대한 유틸리티 패턴 마이닝을 효과적으로 수행하기 위한 기법을 제안한다. 제안하는 기법은 Prefix-tree의 각 항목 노드에 유틸리티 값을 저장하여 FP-Growth 알고리즘에서와 같이 트리의 상향 탐색을 통하여 높은 유틸리티 패턴을 빠르게 찾아낸다. 여러 형태의 실험을 통하여 이용할 수 있는 세가지 다른 Prefix-tree 구조들 간의 성능적 특징과 패턴 탐색의 방법들을 비교하였으며 실험 결과에 따라 제안하는 기법이 기존의 기법들에 비해 많은 성능 향상을 가져올 수 있는 것을 입증하였다.