• The Journal of Korean Obstetrics and Gynecology
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• v.36 no.3
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• pp.154-172
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• 2023

Objectives: This study aimed to assess the clinical evidence supporting the use of acupuncture (AC) for premenstrual syndrome (PMS). Methods: We searched randomized controlled trials (RCTs) that used AC for PMS in 9 databases (PubMed, EMBASE, Cochrane Library, CINAHL, CNKI, CiNii, SCIENCE ON, KoreaMed, OASIS) from their inception to July 2022. Results: We identified 1,168 studies, of which 15 RCTs met the inclusion criteria. The risk of bias in the included studies was relatively unclear or high. Meta-analysis of 3 RCTs showed that the AC group had a significantly higher effective rate than the Medroxyprogesterone group (RR 1.48, 95% CI (1.23, 1.78), p<0.0001). Meta-analysis of 2 RCTs showed that there was no statistically significant difference between the AC group and the Sham AC group in the effective rate (RR 4.72, 95% CI (0.88, 25.36), p=0.07). In a review of individual studies, the AC group was more effective than the control group in terms of the effective rate, symptom scale, quality of life, adverse events, and recurrence rate. Conclusions: The AC group was more effective than general treatments groups such as sham AC, western medicine, and dietary supplements, and there were no serious adverse events. However, the evidence on the effectiveness and safety of acupuncture for PMS was inconclusive due to the small number of included studies and low quality. Therefore, systematic reviews based on more rigorously designed randomized clinical trials are needed in the future to properly evaluate the effect of AC on PMS.

• Journal of Gifted/Talented Education
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• v.25 no.1
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• pp.59-76
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• 2015

The study aimed to investigate elementary school gifted students' hypothesis-generating ability and characteristics of hypotheses and to analyze the correlation between hypothesis-generating ability and meta-cognition. Nineteen students enrolled in a science gifted education center affiliated with a university in 2013 were selected as research subjects. An instrument of open ended items about hypothesis generating was developed and administered to students, and their meta-cognition as well as their preferred science teaching method were examined. Hypotheses generated by students were classified into two categories: scientific and non-scientific hypotheses, and then a closer analysis was conducted on characteristics of non-scientific hypotheses. It was found that 47% (18 out of 38 hypotheses) was scientific ones showing that elementary school gifted students in science in this study presented low level of ability in generating hypothesis. It was also found that non-scientific hypotheses frequently showed characteristics of uncertain in causality or impossible to verify relationships. Furthermore, differences in hypothesis-generating ability and characteristics of hypotheses were appeared in conditions whether inquiry questions and variable identification process were given or not. Students showed high abilities in hypothesis generating and variable identifying when inquiry questions and variable identification process were given. Compared to previous research results, students in the study showed high level of meta-cognition and tendency of utilizing monitoring strategy more than planning and regulating. In ill-structured conditions that students themselves find inquiry questions and identify variables, a significant (p<.05) correlation appeared between hypothesis generating ability and meta-cognition and a high level of correlation between planning and regulating strategies. It was also found that differences existed in hypothesis-generating ability and preferred science teaching methods between students with high level and those with low level of meta-cognition; and students with low level of meta cognition showed difficulties in generating hypothesis and identifying variables.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 1998.10a
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• pp.172-175
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• 1998

Currently, many companies are trying to be more competitive by implementing the most appropriate software package, called ERP (Enterprise Resource Planning). ERP can support the company's business process. A repository, which can story and retrieve enterprise-wide information, is a key component of such software package. This paper implements an enterprise repository for the ERP. A wellknown repository standard, IRDS (Information Resource Dictionary System), is employed for the repository architecture. A meta schema that can help develop database, business applications, models, and workflow is proposed. To illustrate the practical usefulness, a real-life ERP prototype is built within the framework of the proposed repository.

• Journal of the Korea Society of Computer and Information
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• v.14 no.9
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• pp.135-145
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• 2009

Generally, the phases of constructing information systems are consisted of systems planning and selection, system analysis, system design, and system implementation and operation. These systems require many efforts and costs for additional development of modification requirements due to a frequent changes of business environments and business processes. Especially, inconsistencies between system design and system implementation usually happen during development steps because of the difficulties of program developments due to difficulties of capturing exact user requirements and frequent changes of user requirements. This paper proposes a scheme of implementing meta-data based applications for enterprises in order to reduce inconsistencies between system design and system implementation and to overcome limits of the existing coding-based development methods of applications which must use until disuse if they are developed once. Also, this paper presents a framework of repository system to systematically manage and utilize meta-data. The core concept of the proposed scheme makes outputs generated in the phases of system analysis and design into meta-data and is to easily develop and customize application programs using meta-data repository. Also, to show the applicability of the proposed scheme, it is applied to implement ERP system of 'H' automotive part manufacturer. As a result, the proposed scheme can gain improvements such as easiness and productivity of program development, easiness of maintenance, reusability of program components, etc.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.20 no.6
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• pp.133-149
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• 2017

As cities face increasing problems such as aging, environmental pollution and growth limits, we have been trying to incorporate sustainability into urban planning and related policies. However, it is very difficult to generate a 'sustainable spatial plans' because there are trade-offs among environmental, society, and economic values. This is a kind of non-linear problem, and has limitations to be solved by existing qualitative expert knowledge. Many researches from abroad have used the meta heuristic optimization algorithms such as Genetic Algorithms(GAs), Simulated Annealing(SA), Ant Colony Optimization(ACO) and so on to synthesize competing values in spaces. GAs is the most frequently applied theory and have been known to produce 'good-enough plans' in a reasonable time. Therefore we collected the research on 'spatial optimization model based GAs' and analyzed in terms of 'study area', 'optimization objective', 'fitness function', and 'effectiveness/efficiency'. We expect the results of this study can suggest that 'what problems the spatial optimization model can be applied to' and 'linkage possibility with existing planning methodology'.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.40 no.2
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• pp.111-120
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• 2017

This paper proposes an improved standard genetic algorithm (GA) of making a near optimal schedule for integrated process planning and scheduling problem (IPPS) considering tool flexibility and tool related constraints. Process planning involves the selection of operations and the allocation of resources. Scheduling, meanwhile, determines the sequence order in which operations are executed on each machine. Due to the high degree of complexity, traditionally, a sequential approach has been preferred, which determines process planning firstly and then performs scheduling independently based on the results. The two sub-problems, however, are complicatedly interrelated to each other, so the IPPS tend to solve the two problems simultaneously. Although many studies for IPPS have been conducted in the past, tool flexibility and capacity constraints are rarely considered. Various meta-heuristics, especially GA, have been applied for IPPS, but the performance is yet satisfactory. To improve solution quality against computation time in GA, we adopted three methods. First, we used a random circular queue during generation of an initial population. It can provide sufficient diversity of individuals at the beginning of GA. Second, we adopted an inferior selection to choose the parents for the crossover and mutation operations. It helps to maintain exploitation capability throughout the evolution process. Third, we employed a modification of the hybrid scheduling algorithm to decode the chromosome of the individual into a schedule, which can generate an active and non-delay schedule. The experimental results show that our proposed algorithm is superior to the current best evolutionary algorithms at most benchmark problems.

• The KIPS Transactions:PartB
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• v.9B no.1
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• pp.23-28
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• 2002

A fundamental problem in building an intelligent agent is that an agent does not understand the meaning of its perception or its action. One reason that an agent cannot understand the world is partially caused by a syntactic approach that converts a semantic feature into a simple string. To solve this problem, Cohen introduces a semantic approach that an agent autonomously learns a meaningful representation of physical schemas, on which some advanced conceptual structures are built, from physically interacting with environment using its own sensors and effectors. However, Cohen does not deal with a meta level of conceptual primitive that makes recognizing a schema possible. We propose that negation is a meta schema that enables an agent to recognize a physical schema. We prove some semantic aspects of negation.

• 한국IT서비스학회:학술대회논문집
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• 2002.11a
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• pp.425-430
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• 2002

Over the years, several different approaches have been proposed to enhance the practice of software reuse. These approaches vary in reuse abstraction levels or application domains they focus on. However, it seems that they do not adequately meet the needs of software designers in planning and managing reuse. One reason may be the lack of conceptually well-established framework supporting work domain analysis and modeling. As a new viable solution to this problem, Sutcliffe and his colleagues developed Domain Theory , which is introduced in this paper. Utilizing multidisciplinary perspective, such as cognitive psychology, management science, human-computer interaction, and software engineering. it provides a schematic framework that defines a comprehensive library of generic and reusable models of domain knowledge in terms of generic tasks and meta-domains. It also provides useful methods and guidelines for software reuse, emphasizing the concept of abstraction process in a designer s mind. This paper firstly gives a brief overview of fundamentals of software reuse. Next, it explains the foundation of domain theory and discusses its applicability to software reuse. In particular, the taxonomy of meta-domains and the types of generic tasks are described in more detail. Finally, the future research framework, which primarily addresses the problem of how to apply the domain theory to various work domains, is proposed.

• Korean Journal of Computational Design and Engineering
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• v.15 no.1
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• pp.1-10
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• 2010

Recently, a shipyard is making every effort to efficiently manage equipments of resources such as a gantry crane, transporter, and so on. So far block lifting scheduling of a gantry crane has been manually performed by a manager of the shipyard, and thus it took much time to get scheduling results and moreover the quality of them was not optimal. To improve this, a block lifting scheduling system of the gantry crane using optimization techniques was developed in this study. First, a block lifting scheduling problem was mathematically formulated as a multi-objective optimization problem, considering the minimization of travel distance at an idle state and wire replacement during block lifting. Then, to solve the problem, a meta-heuristic optimization algorithm based on the genetic algorithm was proposed. To evaluate the efficiency and applicability of the developed system, it was applied to an actual block lifting scheduling problem of the shipyard. The result shows that blocks can be efficiently lifted by the gantry crane using the developed system, compared to manual scheduling by a manager.

• Korean Journal of Child Studies
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• v.22 no.4
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• pp.51-67
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• 2001

Children who have problems in interacting appropriately with others typically have significant social skills deficits. Social skills training has become a primary intervention to improve the appropriate peer relationship or peer acceptance. Many social skills training programs have been designed and implemented on socially isolated children, however the findings from many studies investigating the effect of social skills interventions are various. The first purpose of this study was to verify the effectiveness of interventions by using quantitative method of meta-analysis. Second, it was to review a various research in detail. Third, it was to provide the basis of planning a social skills training program. For these purposes, findings from 26 studies investigating the effects of social skills interventions for 624 socially isolated children (5-12 years) were analyzed. The result of this study were the following : The pooled overall mean effect size(ES) was 1.11. On average, the pooled mean effect size(ES) according to the different research variables was large, meaning that the social skills intervention had a great effect and was socially important and necessary for socially isolated children. It would be recommended that social skills programs include appropriate target behaviors through multidisciplinary assessment process. This program should mainly focus on the improvement of prosocial behavior skills as well as reducing problem behaviors. For preschool children, over 50 minutes per session, two to three sessions per week, for a total of total over 20 sessions would be ideal. Posttest and follow-up need to perform for generalization and maintenance. Content of the program should be tailored to the developmental level as well as the interest level of the children.