• Journal of Service Research and Studies
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• v.3 no.1
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• pp.87-93
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• 2013

Breast cancer is known as a disease that occurs in a lot of developed countries. However, in recent years, the incidence of Korea's modern woman is increased steadily. As well known, breast cancer usually occurs in women over 50. In the case of Korea, however, the incidence of 40s with young women is increased steadily than the West. Therefore, it is a very urgent task to build a manual to the accurate diagnosis of breast cancer in adult women in Korea. In this paper, we show how using data mining techniques to predict breast cancer. Data mining refers to the process of finding regular patterns or relationships among variables within the database. To this, sophisticated analysis using the model, you will find useful information that is easily revealed. In this paper, through experiments Deicion Tree Naive Bayes analysis techniques were compared using analysis techniques to diagnose breast cancer. Two algorithms was analyzed by applying C4.5 algorithm. Deicison Tree classification accuracy was fairly good. Naive Bayes classification method showed better accuracy compared to the Decision Tree method.

• The KIPS Transactions:PartA
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• v.10A no.3
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• pp.181-188
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• 2003

We propose a heuristic on-line scheduling algorithm for the IRIS (Increasing Reward with Increasing Service) tasks, which has low computation complexity and produces total reward approximated to that of previous on-line optimal algorithms. The previous on-line optimal algorithms for IRIS tasks perform scheduling on all tasks in a system to maximize total reward. Therefore, the complexities of these algorithms are too high to apply them to practical systems handling many tasks. The proposed algorithm doesn´t perform scheduling on all tasks in a system, but on (constant) W´s tasks selected by a predefined task selection policy. The proposed algorithm is based on task selection policies that define how to select tasks to be scheduled. We suggest two simple and intuitive selection policies and a generalized selection policy that integrates previous two selection policies. By narrowing down scheduling scope to only W´s selected tasks, the computation complexity of proposed algorithm can be reduced to O(Wn). However, simulation results for various cases show that it is closed to O(W) on the average.

• Journal of the Korea Convergence Society
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• v.12 no.5
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• pp.147-155
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• 2021

This study covers the effectiveness of SNS utilization education for the elderly. Participants in the study conducted in-depth interviews with trainees currently participating in education and mentors of the same age who are working as assistive instructors. The study deals with whether SNS utilization education, which is considered difficult, can be a more valid class when an elderly person of the same age becomes a mentor and teaches a class. The results of the study said that it was a fun and rewarding education after using SNS for the elderly, free from fear of difficult devices due to the friendly consideration and empathy of the same age. If a mentor of the same age is used for education on SNS for the elderly, SNS education, which has been considered difficult and burdensome for the elderly, is expected to be activated with more flexible education.

• Korean Journal of Community Nutrition
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• v.14 no.5
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• pp.600-607
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• 2009

The purpose of this study was to examine if Likert scales had been properly utilized in community nutrition research. A total of 527 research articles published in the 32 issues of Korean Journal of Community Nutrition from the volume 5, issue 1 in 2000 to the volume 10, issue 2 in 2005 were screened and 55 articles were found to have utilized one or more Likert scales for the studies. Therefore, 109 Likert scales used in the 55 studies were reviewed regarding the name, statement and response items, reliability and validity check, and analysis method. The scales were mostly referred as Likert scales (60%) or Likert-type scales (27%). Some scales were found to be referred as Likert scales although they were Likert-type scales when judged based on the information given in the respective articles. However some scales couldn't be judged for the rightness of the names because the information given for the scales in the articles was not enough. About 23% of the scales consisted of items less than 6 or more than 30, and therefore found to be inappropriate. The percentage of the scales listing all the statement items in the articles was only 25%. Most of the scales (85%) included 5 response items, and the rest included 4 (7%), 7 (6%), or 3 (2%). The percentages of the scales including appropriate center and end items were only 2% and 22%, respectively. Less than half of the scales (41%) were found to have been checked for reliability and only one scale was reported to have been checked for validity. In some scales (6%), the responses were scored improperly for analysis. The responses to the scales were frequently found to have been analyzed by parametric statistics such as mean, ANOVA, t-test, and Pearson's correlation, which might be a problem depending on the size and distribution of study samples. In conclusion, there is much room for improvement in the use of Likert scales in community nutrition research.

• The Journal of the Korea Contents Association
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• v.8 no.9
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• pp.19-26
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• 2008

With the development of ubiquitous computing and the construction of infrastructure for one-to-one personalized services, the importance of context-aware services based on user's situation and environment is being spotlighted. The smart home technology connects real space and virtual space, and converts situations in reality into information in a virtual space, and provides user-oriented intelligent services using this information. In this paper, we proposed the discovery of the behavior sequence pattern using the mining in the smart home. We discovered the behavior sequence pattern by using mining to add time variation to the association rule between locations that occur in location transactions. We can predict the path or behavior of user according to the recognized time sequence and provide services accordingly. To evaluate the performance of behavior consequence pattern using mining, we conducted sample t-tests so as to verify usefulness. This evaluation found that the difference of satisfaction by service was statistically meaningful, and showed high satisfaction.

• The Journal of Information Systems
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• v.12 no.1
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• pp.159-175
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• 2003

During the early stage of radioactive disposal programs, important issues related with quality assurance of data sets, methodologies, R&D procedures are recognized as important ones. This paper focused on the development of web-based workflow standards for the QA procedures of the radioactive waste disposal programs. The flow of process was analyzed based on workflow concepts proposed by the Workflow Management Coalition (WfMC). QA system is based on the principles of T2R3. T2R3 Workflow was used to standardize and restructure the business and/or work process in the industry or organization. The WfMC has identified five functional interfaces to a workflow service as part of its standardization program. They are composed of process definition interface, worklist handler, application program interface, interface between workflows, and system management. The task flow and QA program were defined based on the workflow ideas. QA procedures for the R&D results of radiation disoposal were analyzed following the reference model of workflow. In addition, six program run list were created and implemented. The creation, revision, and approval of the test data were designed to be inplemented on the web environment. Through this system, R&D procedures such as planning, research, documentation, internal review and future independent peer review processes could be well organized and stored more systematically on the database and knowledge base. This will encourage the usage and data sharing between interested parties through it's clear and transparent workflow standards.

• Journal of the Korea Society of Computer and Information
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• v.28 no.3
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• pp.127-135
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• 2023

The purpose of this study was to analyze the effect of university students empolyment expectation and job search burnout on job seeking anxiety. Collected data were statistically processed by PASW 18.0 program using frequency, descriptive statistics, reliability analysis, one-way ANOVA, T-test, correlation and multiple regression analysis. The results were as follows. First, it was found that university students experienced a little more anxiety about situations and causes of job insecurity than job insecurity. Second, it was found that job seeking anxiety differed according to gender, grade, monthly average household income and monthly average allowance. Third, job seeking anxiety increased more as empolyment expectations were lower and job search burnout such as inability, negative beliefs, and dehumanization were higher. Fourth, as a result of analyzing influence of variables related to job seeking anxiety, the most influential variable was inability.

• Journal of Advanced Navigation Technology
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• v.20 no.6
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• pp.588-594
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• 2016

As more populations are getting older, the number of vulnerable pedestrians is increasing, thereby social problems related to transportations also frequently occur in different areas and situations. Many of such problems come from bus drivers who may pass bus stops not recognizing passengers about to board. In this paper, we propose a new IoT bus notification system developed to avoid these situations. Our implementation aims to gain bus service routes using publicly opened data, notify passengers about bus stop locations using GPS information and finally deliver the positions of those passengers to the bus drivers so that they can hardly miss passengers who are willing to board on the right stop. By creating an application, it was conducted by means of a GPS to communicate the location of the vehicle by means of GPS and transfer data to the location of the vehicle. Experimental results show that it is possible to accurately determine the position of passengers even in a crowded race area. The average error distance is 31m, and if the data to be processed as error is excluded, it provides a high reliability as 19m.

• Journal of Digital Convergence
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• v.17 no.9
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• pp.147-152
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• 2019

Infrastructure is rapidly growing as Internet business grows with the latest IT technologies such as IoT, BigData, and AI. However, in most companies, a limited number of people need to manage a lot of hardware and software. Therefore, Polestar Enterprise Management System(PEMS) is applied to monitor the system operation status, IT service and key KPI monitoring. Real-time monitor screening prevents system malfunctions and quick response. With PEMS, you can see configuration information related to IT hardware and software at a glance, and monitor performance throughout the entire end-to-end period to see when problems occur in real time.

• Journal of Convergence for Information Technology
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• v.11 no.4
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• pp.111-121
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• 2021

In order to determine the possibility that Chrysanthemum indicum L. cultured with Lactococcus lactis (CILL) is a material for obesity suppression food, the body weight, body fat mass, and T cells were determined in C57BL/6 mice induced by a high fat diet. The CILL (25.15±2.44 g) demonstrated weight loss from week 4 onward and maintained a low weight gain from week 1 to week 8 (1.00±0.53 g). The 8-week body weight (30.38±4.17 g) indicated loss of 13.15% when compared to the HFD (60% high fat diet, 34.99±2.09 g). Fat mass decreased to 10.3022±2.8813 g, and the absolute liver weight decreased relative to that in the HFD. CD4+ T cells were 4.84±1.33%, CD8+ T cells 7.02±2.26%, and CD4+CD8+ T cells 1.46±0.81%, which were all higher than those in the HFD. As a result, CILL can be used as a material for preventing obesity as an effective measure toward reducing weight when consumed orally.