• Pediatric Gastroenterology, Hepatology & Nutrition
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• v.22 no.3
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• pp.242-248
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• 2019

Purpose: Severe acute malnutrition (SAM) is an important public health problem which contributes to significant number of under five deaths. Protocol based management significantly decreases risk of deaths in children with medical complications. Methods: Outcome of children aged 2 months-5 years admitted and fulfilling definition of SAM having diarrhea (group A) was compared to children with SAM having medical complications other than diarrhea (group B). Both groups were managed according to standard recommended protocols and monitored and followed up for 12 weeks after discharge. Results: The average weight gain, defaulter rate, primary failure, secondary relapse rate and readmission rate were similar in both groups. Length of stay in group A was three days longer (p-value=0.039). Discharge rate was comparable with overall 68% of children successfully discharged and 50% of children reaching weight/height > -2 standard deviation at follow-up of 12 weeks. Conclusion: The current management protocol is equally effective for managing children with SAM having diarrhea. Good adherence to management protocol of dehydration and timely modification of therapeutic feeds in children with persistent diarrhea results in satisfactory weight gain.

• Journal of Wellbeing Management and Applied Psychology
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• v.5 no.1
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• pp.9-22
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• 2022

Purpose: The purpose of this study is to develop a kimchi recipe for immunity enhancement using snow crab, which has high food value in the era of COVID-19. Research design, data and methodology: The snow crab kimchi manufacturing method of this study includes the steps of preparing a kimchi seasoning containing snow crab seasoning and chitosan powder. Kimchi seasoning is made by adding 5 parts by weight of crab seasoning and 1 part by weight of chitosan powder to 100 parts by weight of the basic kimchi seasoning prepared by mixing radish, minced garlic, minced ginger, onion juice, anchovy sauce, red pepper powder and glutinous rice paste. Results: It was possible to develop new flavors, possibilities and characteristics of snow crab kimchi by extending the health and functional effects, taste, and preservation period without significantly changing the unique manufacturing method, taste and function of kimchi, including snow crab. Conclusions: Snow crab kimchi was excellent in taste and aroma while enhancing the health functions of the body, such as improving people's immunity. The developed snow crab kimchi manufacturing method can not only improve people's health, but also expand the choice of preference for kimchi taste and shelf life.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.17 no.8
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• pp.2259-2277
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• 2023

We propose a probabilistic fish growth model for smart aquaculture systems equipped with IoT sensors that monitor the ecological environment. As IoT sensors permeate into smart aquaculture systems, environmental data such as oxygen level and temperature are collected frequently and automatically. However, there still exists data on fish weight, tank allocation, and other factors that are collected less frequently and manually by human workers due to technological limitations. Unlike sensor data, human-collected data are hard to obtain and are prone to poor quality due to missing data and reading errors. In a situation where different types of data are mixed, it becomes challenging to develop an effective fish growth model. This study explores the unique characteristics of such a combined environmental and weight dataset. To address these characteristics, we develop a preprocessing method and a probabilistic fish growth model using mixed data sampling (MIDAS) and overlapping mixtures of Gaussian processes (OMGP). We modify the OMGP to be applicable to prediction by setting a proper prior distribution that utilizes the characteristic that the ratio of fish groups does not significantly change as they grow. We conduct a numerical study using the eel dataset collected from a real smart aquaculture system, which reveals the promising performance of our model.

• Journal of the Korean Society for information Management
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• v.18 no.3
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• pp.159-178
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• 2001

This paper presents an automatic text summarization model which selects representative sentences from sentence clusters to create a summary. Summary generation experiments were performed on two sets of test documents after learning the optimum environment from a training set. Centroid clustering method turned out to be the most effective in clustering sentences, and sentence weight was found more effective than the similarity value between sentence and cluster centroid vectors in selecting a representative sentence from each cluster. The result of experiments also proves that inverse sentence weight as well as title word weight for terms and location weight for sentences are effective in improving the performance of summarization.

• Journal of Korean Medicine for Obesity Research
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• v.17 no.2
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• pp.68-76
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• 2017

Objectives: The purpose of this study was to analyze the factors affecting weight loss effect of Gamitaeumjowee-tang and to see if weight loss could be predicted using influence factors and weight loss progress. Methods: From September 2016 to March 2017, we retrospectively reviewed the medical records of 139 patients who were visited to the Korean Oriental Clinic for 3 months. We conducted a regression analysis to determine whether age, gender, initial weight, patient health questionnaire-9, heart rate variability (HRV), sleep quality, drinking habit and the medication history of weight loss affect weight loss. We found weight loss prediction equations using multiple regression analysis applying significant factors and weight loss progress. Results: Gender and initial weight had a significant effect on weight loss in all periods (P<0.001). HRV had a significant effect on primary weight loss (P<0.01). Other factors did not have any significant effect on weight loss. Using the significant factors, weight loss of each period could be predicted from 23.9% to 44.6%, and tertiary weight loss could be predicted with 76.6% using factors, primary weight loss and secondary weight loss (P<0.001). Conclusions: This study suggests that weight loss effect of Gamitaeumjowee-tang maybe be affected by influence factors and that weight loss prediction equations using them can be used for obesity treatment.

• Proceedings of the KSR Conference
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• 2011.10a
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• pp.2973-2978
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• 2011

In this paper, a system is developed to support multi-attribute decision making for designing light-weight of rolling stock. Conceptual design of light-weight of rolling stock does not only mean reducing weight. It should be considered about some attributes like safety and environment, technology, etc. So technical attributes and needs of customers, manufacturers and management companies, passengers, should be reflected and qualitative evaluation methods are required. AHP(Analytical Hierarchy Process) and QFD(Quality Function Deployment) are used to decide weighted values of technical attributes and needs from customers. Finally, Alternatives for light-weight of rolling stock that are composed of alternatives of equipment are evaluated by TOPSIS(Technique for Order Preference by Similarity to Ideal Solution). A series of this process are made as a S/W. It could suggest a near-optimal alternative for light-weight of rolling stock.

• Journal of Information Processing Systems
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• v.15 no.3
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• pp.655-669
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• 2019

Supplier evaluation is of great significance in green supply chain management. Influenced by factors such as economic globalization, sustainable development, a holistic index framework is difficult to establish in green supply chain. Furthermore, the initial index values of candidate suppliers are often characterized by uncertainty and incompleteness and the index weight is variable. To solve these problems, an index framework is established after comprehensive consideration of the major factors. Then an adaptive weight D-S theory model is put forward, and a fuzzy-rough-sets-AHP method is proposed to solve the adaptive weight in the index framework. The case study and the comparison with TOPSIS show that the adaptive weight D-S theory model in this paper is feasible and effective.

• Women's Health Nursing
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• v.20 no.2
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• pp.155-162
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• 2014

Purpose: The purpose of this study was to identify factors influencing desired postnatal weight loss in women after birth. Methods: With correlational survey design, 191women of the study participants completed questionnaires on their desired postnatal weight loss and related factors, and body and health concerns during their hospitalization after birth. Data were collected from February to May, 2011. Data were analyzed using t-test, ANOVA, Pearson correlation coefficients, and multiple linear regression. Results: The women's gestational weight gain, pre-pregnant BMI, body concerns, expected time to reach the desired weight after birth and health concerns were identified as factors influencing desired postnatal weight loss in women after birth. The model explained 68% of the variance. Conclusion: Results suggest that nurses in women's health care should consider women's gestational weight, pre-pregnant BMI and their body concerns, health concerns and expected time to reach the desired weight after birth when developing weight management program for women after birth.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.30 no.4
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• pp.118-126
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• 2007

This study presents the intellectual capital (IC) indicator selection criteria based on the review of qualitative characteristics of financial accounting information and data quality of information systems. The AHP survey has been performed to verify the weight difference of the criteria to select effective IC indicators among industry. The results shows that there exists the weight differences in relevance and comparability factor by industry. To management IC effectively, different method considering industry environment should be required.

• Journal of Korean Society for Quality Management
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• v.42 no.4
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• pp.685-700
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• 2014

Purpose: The purpose of this paper is to develop a systematic weighting procedure based on process capability indices method applying weighted mean squared error minimization (WMSE) approach to dual response surface optimization. Methods: The proposed procedure consists of 5 steps. Step 1 is to prepare the alternative vectors. Step 2 is to rank the vectors based on process capability indices in a pairwise manner. Step 3 is to transform the pairwise rankings into the inequalities between the corresponding WMSE values. Step 4 is to obtain the weight value by calculating the inequalities. Or, step 5 is to obtain the weight value by minimizing the total violation amount, in case there is no weight value in step 4. Results: The typical 4 process capability indices, namely, $C_p$, $C_{pk}$, $C_{pm}$, $C_{pmk}$ are utilized for the proposed procedure. Conclusion: The proposed procedure can provide a weight value in WMSE based on the objective quality performance criteria, not on the decision maker's subjective judgments or experiences.