Over the years, cluster analysis has become a popular tool for marketing and segmentation researchers. There are various methods for cluster analysis. Among them, K-means partitioning cluster analysis is the most popular segmentation method. However, because the cluster analysis is very sensitive to the initial configurations of the data set at hand, it becomes an important issue to select an appropriate starting configuration that is comparable with the clustering of the whole data so as to improve the reliability of the clustering results. Many programs for K-mean cluster analysis employ various methods to choose the initial seeds and compute the centroids of clusters. In this paper, we suggest a methodology to evaluate various clustering programs. Furthermore, to explore the usability of the methodology, we evaluate four clustering programs by using the methodology.
Suh, Moon Ja;Kim, Hea Sook;Kim, Kuem Soon;Lim, Nan Young;Kim, Kwuy Bun;Sung, Ok Hee;Ju, Hee Joo
The Korean Nurse
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v.35
no.1
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pp.66-80
/
1996
Reacently one the main issues has been to develop useful strategies to improve hospital services for patients in the health care delivery system in our rapidly changing society. This study has focused on exploring the perceptions that the clinical nurses have concerning who they are and what they are going to become in the days ahead as medical care reaches a new stage of advancement centered around the patient and hospital services. This study in also based upon the premise that the role of the clinical nurse practitioner. is central to the progress of any patient centered nursing program. This study was carried out by the members of the academic committee of Seoul Branch of Korean Nurses Association from January 1995 to February 1995. The interview method was a semi-structured questionnaire used to collect data from 25 staff nurses who were working more than 3 years at 3 different university hospitals in Seoul. The 6 interviews were selected from each hospital and they were trained for the interviewing techniques. The data were analysed qualitatively and 10 elements of the nurse's responsibilities classified such as caring for the patients (which includes specific medical care as well as general); assessing; diagnosing; coordinating with other health personnel; careful listening; teaching and the patient guiding; administering the prescriptions; giving information and counseling the patient; ward management. Although the premise of this study was based on a wholistic concept, the overall behavioral aspects of hospital clinical nursing were the major thrust of the questionnaire. Broad philosophical questions regarding the nature of nursing need to be further explored. The data gathered for this questionnaire should be useful as a reenforcement tool in educating nursing students as well as in continuing education for clinical nurses. For the future, another study should be done to determine the nursing/patient relationship.
Data redundancy is problematic in that it not only induces heavy storage management cost but also could bring critical degradation of information systems. Unfortunately, to our knowledge, only few enterprises willingly afford time and efforts for the faithful conceptual design to prevent the degree of inappropriate data as much as they could, while most of enterprises pay rare attention to the notion of that sort of data quality. Wondering if there would be any other way to design the enterprise.wide data design without prior knowledge about business works is our major motivation for this study. In this paper, we present our data modeling methodology in which associations among objects in each sentences of a business job descriptions are treated as the focal point in database design. A proposed agent for automated design tool simply takes a business job description written in natural language as an input, and then designs an entity relationship diagram with some smart rules. We introduce the scope of the proposed agent and its detailed logics with several examples. And then, we verify the appropriateness of the resulted associations among objects. Lastly, we perform case studies to evaluate the devised agent's applicability to a business field.
Journal of Korean Society of Industrial and Systems Engineering
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v.42
no.4
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pp.61-68
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2019
Currently many companies are interested in reduction of the carbon emissions associated with their supply chain activities such as transportation and operations. Operational decisions, such as modifications in order quantities could an effective way in reducing carbon emissions in the supply chain. Cap-and-trade regulation, sometimes called emissions trading, is a market-based tool to limit greenhouse gas emissions. Under cap-and-trade regulation, emission credits are allocated to the firms and the firms trades emissions under cap-and-trade schemes. In this paper, we propose a single-manufacturer single-buyer two-echelon supply chain problem under the cap-and-trade mechanism incorporating the carbon emissions caused by transportation and warehousing activities where a single manufacturer produces a family of items in order to deliver a family of items to a single buyer at a fixed interval of time for effective implementation of Just-In-Time (JIT) Purchasing. An integrated multi-product lot-splitting model of facilitating multiple shipments in small lots between buyer and manufacturer is developed in a JIT Purchasing environment. Also, an iterative heuristic algorithm is developed to derive the common order interval, the number of intervals for each product and the number of shipments between the buyer and the manufacturer during the common interval. A numerical example is given to illustrate the savings in reduction of total cost and carbon emissions by the inventory model incorporating cap-and-trade mechanism compared to the classical inventory model. The proposed inventory model could be useful for the practical solution of two-echelon supply chain inventory problem under cap-and-trade mechanism.
Hong, Kum Suk;Gu, Gyo Jin;Lee, Sang Cheon;Bae, Sung Moon
Journal of Korean Society of Industrial and Systems Engineering
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v.42
no.4
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pp.165-172
/
2019
Innovation activities represented by Six Sigma (6σ) led to improvements not only in manufacturing industries but also in various business fields. In the aviation industry, Six Sigma has been used as a tool of innovation since the beginning of 2000, and it has developed into a comprehensive form of innovation activity that includes various improvement tools. In this study, the innovation activities in K company that is a representative company of aviation industry are summarized in the last 10 years, and the effectiveness of the innovation tools and the performance of the tasks are also analyzed. The results of 2,091 projects over the past decade have been analyzed from various perspectives. First, we found out the tools that were used frequently at each DMAIC step, showed their frequency, and analyzed the evaluation results for the project. The project was evaluated from grade 1 (highest level) to grade 7 (lowest level) with an average grade of 4.1 for the overall project. The evaluation grades of the projects were compared and analyzed in terms of the qualifications of the leader, the roadmap for the implementation of the project, the financial effect, the size of the financial effect, the business classification, and the project execution period. These results may suggest new perspectives for companies considering or adopting innovation programs.
General citizens can be a valuable resource for various types of environmental monitoring when they are well-trained and managed. Successful use of volunteer monitors depends on understanding that citizens are partners sharing expanded roles as the guardians of their local environment. Citizen volunteer monitoring programs are developed for three reasons: 1) to supplement environmental data collected by professional staffs in governmental agencies and scientific institutions; 2) to educate the public about local environmental problems; 3) to build a constituency of citizen to practice sound environmental management at a local level and build public support for environmental protection. All three goals can be achieved with a well-organized program which provides useful and credible data. Initial step in planning a successful volunteer monitoring project is to clearly identify the use to be made of the data. Technical advice from the identified potential user groups should be convened early in the planning stage to refine the program objectives and determine if volunteers can provide the level of expertise required. Data users must have confidence in the representativeness, consistency, and accuracy of data collected by volunteers. Effective quality assurance and quality control(QA/QC) procedures are essential to ensure the utility of environmental monitoring data. Volunteers must be trained in advance to carry out specific environmental monitoring tasks. Another components of successful volunteer monitoring programs is to give the volunteers praise and feedback as well as to encourage experienced volunteers to impose increased responsibilities. The increase of volunteer monitoring programs in Korea will play a major role in developing a participatory system in which the people are "empowered" to make decisions and make a difference.
Lately development of network around Internet expands range of data traffic to multimedia information, and so for the guarantee of multimedia services end-to-end QoS(Quality of Service) must service because comparing with existing Internet service can not support For satisfying those QoS requirements, network have to guarantee not only network on parameter, such as delay, jitter, throughput but also system resources like CPU utilization, memory usage. Therefore it is urgent to develop QoS based middleware to distribute multimedia data and maximize network utilization in the limited resource environment. And it must be necessary of network to provide end-to-end QoS(Quality of Service) for multimedia applications. Multimedia applications want that QoS which satisfy their own service properties be guaranteed Then, We must analyze those necessary QoS requirements md define QoS parameter which specify as two viewpoint, user's and network's perspective. Therefore network provider supplying network for usual user and university, enterprise must want to find about their own network performance and problem. It is essential for network manager to want to use a tool like this. On the basis of technique about QoS test-bed in the AIM network, We studied on the method of QoS measurement and management about end-to-end connection in the Internet. We measured network status about end-to-end connection and analyze the result of performance.
This study provides a systematic investigation about objective personal image consulting, tool development and image-making research by analyzing the status of the Korean image-consulting industry and education. For the research, we carried out literature surveys of books on image consulting and previous research reports. In particular, we surveyed image consulting businesses that have internet web sites, and educational institutes. The results of the survey are as follows: First, domestic image consulting businesses in Korea are investigated about 93 private companies and 4 associations. They do the image making, color consulting, and education for individuals and business. Second, professional image consulting education is carried out not only in the 93 private companies, but also in the continuing and professional studies for adults of 10 universities. Furthermore, more then 90 universities have specific academic programs related to the image consulting such as facial management, beauty coordination, cosmetology, stylists, fashion events, broadcasting stylists, and so on. Third, a typical image consulting job is the personal shoppers who assists VIP customers in department stores. Professionals and politicians have personal fashion stylists for their image making. Today, the job has expanded to public fashion therapist. Fourth, the contents of an image consulting education have appeared in similar industries and educations. These contents include fashion styles, personal color analysis, make-up, facial expressions, gestures, perfumes, accessories, etc. This study is based on research on the current Korean image-consulting industry, and will enable follow-up details to be implemented. using the basis of this study for a strategic self-image formation system.
Journal of Korean Society of Industrial and Systems Engineering
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v.39
no.1
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pp.47-55
/
2016
As one of recent issues in the information and communication industry, internet of things has attracted attention to provide intelligent infrastructure services which connect and share data and information between real and virtual world. According to the development of these internet of things technologies, types of machines, telecommunication devices, and terminals are increasing tremendously. In this situation, connectivity and interoperability between internet of things components are important issues to build a hyper connected society. To visualize this society, it is important to set up and develop information and communication technology (ICT) standards among stakeholders. However, under limited budget and human resources, it is essential to rank standardization work items for setting standards with respect to efficiency. The purpose of this study is to provide a method for setting standardization strategies within group decision making. As a multi-criteria group decision making tool, analytic hierarchy process (AHP) is adopted and applied to determine the priorities of setting work items. The proposed method first defines decision making problem with objective, criteria, and alternatives which produces a hierarchy consisting of upper and lower criteria. Then, pairwise comparisons of academy and public sector experts are performed with respect to their relative meaning and importance. Individual surveys of expert groups are collected and summarized to determine relative criteria importance measures. Furthermore, to deliver reliable importance criteria measures, differences between academy and public sector expert groups are compared and tested using Mann-Whitney non-parametric test. The results are illustrated for useful guidelines to practical group decision making in standardization strategy establishments.
Kwon H.;Kim K.;Kim J. M.;Lee Y. H.;Kim T. E.;Lim H. K.;Ko Y. G.;Chung N.
Progress in Superconductivity
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v.7
no.1
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pp.41-45
/
2005
The diagnostic management of patients with chest pain remains a clinical challenge. Magnetocardiography (MCG) has been proposed as a new non-invasive method for detection of myocardial ischemia. To date, however, MCG technique is not intensively introduced for clinical use. One of the main reasons might be the absence of statistically valid and diagnostically clean criteria, which can determine the presence of certain heart disease. In this work, we suggested a new method to classify the diagnostic value of MCG for the detection of coronary artery disease (CAD) in patients with chest pain. MCG was recorded for three groups (healthy subjects and patients without and with CAD) by means of the 64 channel SQUID gradiometer system installed at a hospital. Using four parameters, which were found to be significantly different between groups, we evaluated a probability, in which parameters can be classified into each group based on the distribution function of the parameter in each group. For all parameters, sum of probabilities was compared between groups to determine the presence of CAD. Our classification method shows that the MCG can be a useful tool to predict the presence of CAD with sensitivity and specificity of higher than $80\%$ each.
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