• Proceedings of the Korea Inteligent Information System Society Conference
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• 2002.11a
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• pp.491-501
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• 2002

Case-based reasoning is emerging as a leading methodology for the application of artificial intelligence. CBR is a reasoning methodology that exploits similar experienced solutions, in the form of past cases, to solve new problems. Hybrid model achieves some convergence of the wide proliferation of credit evaluation modeling. As a result, Hybrid model showed that proposed methodology classify more accurately than any of techniques individually do. It is confirmed that proposed methodology predicts significantly better than individual techniques and the other combining methodologies. The objective of the proposed approach is to determines a set of weighting values that can best formalize the match between the input case and the previously stored cases and integrates fuzzy sit concepts into the case indexing and retrieval process. The GA is used to search for the best set of weighting values that are able to promote the association consistency among the cases. The fitness value in this study is defined as the number of old cases whose solutions match the input cases solution. In order to obtain the fitness value, many procedures have to be executed beforehand. Also this study tries to transform financial values into category ones using fuzzy logic approach fur performance of credit evaluation. Fuzzy set theory allows numerical features to be converted into fuzzy terms to simplify the matching process, and allows greater flexibility in the retrieval of candidate cases. Our proposed model is to apply an intelligent system for bankruptcy prediction.

• Journal of Korean Academy of Nursing
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• v.42 no.2
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• pp.149-160
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• 2012

Purpose: The purpose of this study was to explain the role transition process to nurse case managers (NCMs) for Medical-aid beneficiaries in Korea. Methods: Fourteen NCMs were interviewed regarding their experiences of becoming proficient in the new role of case manger. Data were analyzed through the application of grounded theory. Results: 'Taking root in a barren land' was the core category explaining the role transition process of NCMs. They engaged in four stages: launching, trial and error, proficiency, and wait-and-see stages. NCMs showed not only fear but also passion for case management practice. Despite their passion and effort, NCMs went through a period of trial and error. After becoming skilled, NCMs went through a stage of wait-and-see often because of job insecurity related to temporary position or few opportunities for promotion. Factors influencing NCMs' role transition process included their understanding of client characteristics, belief in case management, and support from their colleagues and families. Conclusion: NCMs experience many challenges in the process of becoming proficient NCMs. To help with their role transition, there is a need for education programs, preceptorship programs, research on their roles and functions, and regulation for securing NCMs' employment and career stability.

• KIEAE Journal
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• v.15 no.5
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• pp.5-12
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• 2015

Purpose: Retention and infiltration of small and frequently-occurring rainfall by LID facilities account for a large proportion of the annual precipitation volume. Based on 4 standard facilities such as Porous Pavement, Infiltration Trench, Cylindrical Infiltration Well, Rectangular Infiltration Well by Seoul Metropolitan Handbook of the Prior Consultation for LID. The total retention volume of each facility was calculated according to the type and size. The Purpose of this study is to find out the quantitative relationship between Percentile Rainfall Event and Design Volume of Infiltration Facilities. Methode: For the estimation of Percentile Rainfall Event, Daily Precipitation of Seoul from 2005 to 2014 was sorted ascending and the distribution of percentile was estimated by PERCENTILE spreadsheet function. The managed Rainfall Depth and Percentile of each facility was calculated at the several sizes. In response to the rainwater charge volume of 5.5mm/hr by the Category "Private large site", the 3 types of facilities were planned for example. The calculated Rainfall Depth and Percentile were 54.4mm and 90% by the use of developed Calculation-Module based on the Spreadsheet program. Result: With this Module the existing Designed Infiltration volume which was introduced from Japan was simply converted to the Percentile-Rainfall-Event used in USA.

• KIEAE Journal
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• v.17 no.3
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• pp.113-118
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• 2017

Purpose: This study amis at proposing strategies on the basis of BIM techniques to promote the spread of industrialized wooden buildings for implementation of sustainable architecture. Method: We employed social network analysis (SNA) technique to identify the mutual influences among factors that hinder popularization of new Hanok as the industrialized wooden building. Four strategies were established to reduce the factors with serious influences on each category and stakeholder using BIM techniques. Result: it was demonstrated that the problems occurred in spreading new Hanoks can be reduced by changing the influence structure of social network according to the proposed strategies.

• The KIPS Transactions:PartD
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• v.18D no.6
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• pp.423-432
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• 2011

In this paper, we introduce XOnto-Apriori algorithm which is an extension of the Onto-Apriori algorithm. The extended algorithm is designed to improve the conventional algorithm's problem of comparing only identifiers of transaction items by reasoning transaction properties of the items which belong in the same category. We show how the mining algorithm works with a smartphone application recommender system based on our extended algorithm to clearly describe the procedures providing personalized recommendations. Further, our simulation results validate our analysis on the algorithm overhead, precision, and recall.

• Proceedings of the Korea Contents Association Conference
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• 2017.05a
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• pp.471-472
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• 2017

There are 3,931,822 elderly who receives long-term care at home and 1,704,469 elderly who stay at long-term care facilities in those of 34,610,000 of +65 years old population in Japan; thus, the elderly people who need home care are 2.3 times more than facilities (2016).In the near future, the number of elderly people with a degree of daily life independence and dementia category II or more will increase to 4.7 million (12.8% of the elderly population). Therefore, the use of home-care robots is essential for the disaster evacuation of the overwhelming majority of those elderly who need home care and for of vitals checks to keep family, caregivers, and medical professionals informed to reduce the risk in chronic health conditions in welfare evacuation centers. This also helps to care for the caregivers who are caring for the elderly, and the introduction of home-robots to evacuation centers should receive prompt attention from our care-friendly society.

• Agricultural and Biosystems Engineering
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• v.1 no.2
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• pp.100-105
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• 2000

Quality sorting of cut flowers is very essential to increase the value of products. There are many factors that determine the quality of cut flowers such as length, thickness, and straightness of stem, and color and maturity of bud. Among these factors, the straightness of stem and the maturity of bud are generally considered to be more difficult to evaluate. A prototype grading and sorting machine for cut flowers was developed and tested for a rose variety. The machine consisted of a chain-drive feed mechanism, a pneumatic discharge system, and a grading system utilizing color image processing and neural network. Artificial neural network algorithm was utilized to grade cut roses based on the straightness of stem and maturity of bud. Test results showed 89% agreement with human expert for the straightness of stem and 90% agreement for the maturity of bud. Average processing time for evaluating straightness of the stem and maturity of the bud were 1.01 and 0.44 second, respectively. Application of neural network eliminated difficulties in determining criteria of each grade category while maintaining similar level of classification error.

• Korean Journal of Remote Sensing
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• v.34 no.4
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• pp.579-590
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• 2018

Shipping of North Korea is not yet publicly well documented. Taedong River, the most important sea route of North Korea, is selected as a model study area to show how effectively a remote place can be investigated through the application of satellite-based Automatic Identification System (S-AIS) for understanding shipping and tracks of vessels which passed the lock gate in the Taedong River and visited the nearby ports on its track. S-AIS data of the year 2014 were analyzed on the basis of various time periods, country of registry and category of ships. A total of 325 vessels were observed. The ships under the flags of North Korea, Cambodia and Sierra Leone were found to be dominant in frequencies which accounted for 43.08%, 16.00%, and 8.92%, respectively. Trajectories of the 325 ships in the Yellow Sea were also checked according to the flags. It is concluded that some ships under the flags of Cambodia, Sierra Leone, Mongolia, Panama and Kiribati are regarded as flags of convenience, and ships without flag and ship type codes also comprised a remarkable portion out of the total ships.

• The Research Journal of the Costume Culture
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• v.26 no.2
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• pp.125-139
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• 2018

This study explores determinants of purchase intentions for vegan fashion products based on the modified planned behavior model. Survey data from 434 university students were subjected to an analysis using descriptive statistics, factor analysis, and structural equation modeling. The results showed that almost half of the consumers surveyed recognized vegan fashion products and a little more than a half of consumers surveyed had purchase experience for vegan fashion products. Clothing, bags, and shoes are the most frequently purchased vegan fashion product categories. From the results of the model test, purchase intentions on vegan fashion products were determined by attitude, subjective norms, ethical responsibility, and ethical identity of the consumers. When consumers have a more positive attitude, have higher subjective norms, stronger ethical responsibility, and stronger ethical identity regarding the purchase of vegan fashion products, they are likely to have a greater intention to purchase vegan fashion products. The findings contribute to the literature by adding test results for vegan fashion products among the ethical product categories, highlighting the importance of the consideration of product category, which can give somewhat different results when exploring ethical consumption. Based on these findings, marketers need to use special tags or signage highlighting the ethical values and meanings of vegan fashion products to better communicate with target consumers with a high level of ethical responsibility and to help increase consumers' control over purchase behaviors through reducing barriers generated by insufficient product information.

• Journal of Institute of Control, Robotics and Systems
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• v.20 no.10
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• pp.1051-1056
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• 2014

In this paper, we introduce an intelligent robotic arc welding system which exploits sensors like as LVS (Laser Vision Sensor), Hall effect sensor, voltmeter and so on. The use of industrial robot is saturated because of its own limitation, and one of the major limitations is that industrial robot cannot recognize the environment. Lately, sensor-based environmental awareness research of the industrial robot is performed actively to overcome such limitation, and it can expand application field and improve productivity. We classify the sensor-based intelligent arc welding robot system by the goal and the sensing data. The goals can be categorized into detection of a welding start point, tracking of a welding line and correction of a torch deformation. The Sensing data can be categorized into welding data (i.e. current, voltage and short circuit detection) and displacement data (i.e. distance, position). This paper covers not only the explanation of the each category but also its advantage and limitation.