• The Journal of the Korea institute of electronic communication sciences
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• v.2 no.2
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• pp.92-98
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• 2007

Database System of approved fish drug products was consisted of trade name, species, ingredients, sponsor, disease, dose forms, drug forms, indication, law and so on. Also in addition, we will develope the database system for fish disease information. So we propose to expand and practice for publishing a medical prescription and making an order of drug by Fish Disease Distinction System which is based on drug information system and disease information system.

• Journal of Korean Philosophical Society
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• no.121
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• pp.1-24
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• 2018

The aim of this paper is to expound upon the concept of mental health and disease in Plato. In ancient Greece, philosophy was to care for the health of the soul and to pursue the happiness of the life, while medicine was to care for the health of the body. It is the role of philosophy that defines what the mental disease is, rather than the realm of medicine, and the practical function of philosophy is the life of caring for our souls. In order to take care of the soul, it is important to diagnose what the mental disease is and where it comes from. In ancient Greek, medicine disease was initially regarded as a divine punishment and healing as, quite literally, a gift from the gods. Plato, however, insists that mental illness is not just brain problem but a human whole problem, (2) it is caused by imbalance and discord, and (3) ignorance is also a mental disease, (4) and furthermore, injustice and vice are mental diseases as well. Therefore Plato argues that the aim of philosophy is to practice a virtue as the mental health and further to achieve political justice to maintain the health of the soul.

• Journal of Navigation and Port Research
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• v.30 no.5 s.111
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• pp.405-414
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• 2006

The purpose of this study was to find out morbidity rate and pattern of occupational disease and affect of variables related disease of Fishing crew The subjects this study were 624 Fishing crew who took education course in Korea Institute of Maritime and Fisheries Technology. This questionnaire was focused on finding the basic data for prevention of occupational disease and promotion health on the Fishing crew The collected data were analyzed by using descriptive statistics, Chi-square, cross tab by SPSS package. The result of this study are as follow. 1)The morbidity rate within recent 12 months was 70.2%. there were significant differences of occurred disease in age, rank, perceived health status, fatigue symptoms, rest time, workload, overtime duration 2) the more aging(p<0.01), perceived fatigue(p<0.01), workload(p<0.01), overtime(p<0.05) and the less perceived health status(p<0.01), rest time(p<0.01), the higher morbidity rate 3) Considering disease unable to work more than 4 hour, the number of those who had musculoskeletal disease were 20.9%, which revealed the highest rate, digestive disease 14.3%, traumatic disease 13.5%.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2006.06b
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• pp.29-38
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• 2006

The purpose of this study was to find out morbidity rate and pattern of occupational disease and affect of variables related disease of Fishing sailors' The subjects this study were 624 fisheries sailors' who took education course in Korea Institute of Maritime and Fisheries Technology. This questionnaire was focused on finding the basic data for prevention of occupational disease and promotion health on the fishing sailors' The collected data were analyzed by using descriptive statistics, Chi-square, cross tab by SPSS package. The result of this study are as follow. 1)The morbidity rate within recent 12 months was 70.2%. there were significant differences of occurred disease in age, rank, perceived health status, fatigue symptoms, rest time, workload, overtime duration 2) the more aging(p<0.01), perceived fatigue(p<0.01), workload(p<0.01), overtime(p<0.05) and the less perceived health status(p<0.01), rest time(p<0.01), the higher morbidity rate 3) Considering disease unable to work more tlnn 4 hour, the number of those who had musculoskeletal disease were 20.9%, which revealed the highest rate, digestive disease 14.3%, traumatic disease 13.5%.

• Smart Media Journal
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• v.11 no.4
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• pp.62-68
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• 2022

To prevent the spread of disease in aquaculture, it is a need for a system to predict fish diseases while monitoring the water quality environment and the status of growing fish in real time. The existing research in predicting fish disease were image processing techniques. Recently, there have been more studies on disease prediction methods through deep learning techniques. This paper introduces the research results on how to predict diseases of Paralichthys Olivaceus with deep learning technology in aquaculture. The method enhances the performance of disease detection rates by including data augmentation and pre-processing in camera images collected from aquaculture. In this method, it is expected that early detection of disease fish will prevent fishery disasters such as mass closure of fish in aquaculture and reduce the damage of the spread of diseases to local aquaculture to prevent the decline in sales.

• Smart Media Journal
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• v.8 no.3
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• pp.88-94
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• 2019

Livestock disease is a very important issue in the livestock industry because if livestock disease is not responded quickly enough, its damage can be devastating. To solve the issues involving the occurrence of livestock disease, it is necessary to diagnose in advance the status of livestock disease and develop systematic and scientific livestock feeding technologies. However, there is a lack of domestic studies on such technologies in Korea. This paper, therefore, proposes Livestock Disease Forecasting and Livestock Farm Integrated Control System using Cloud Computing to quickly manage livestock disease. The proposed system collects a variety of livestock data from wireless sensor networks and application. Moreover, it saves and manages the data with the use of the column-oriented database Hadoop HBase, a column-oriented database management system. This provides livestock disease forecasting and livestock farm integrated controlling service through MapReduce Model-based parallel data processing. Lastly, it also provides REST-based web service so that users can receive the service on various platforms, such as PCs or mobile devices.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.21 no.10
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• pp.1898-1908
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• 2017

Accurately Diagnosing and managing disease in livestock can help sustainable livestock productivity and maintain human health. Maintaining the health of livestock is an important part of human health. The prediction of calf diseases is carried out by pre-processing the calf biometric data. calf information is used as information for calf birth history, calf biometric information, environmental information on housing, and disease management. It can be developed as an ontology and used as a knowledge base. The Bayesian network was used and inferred in the process of analyzing the correlations of calf diseases. Prediction of diseases based on knowledge of calf disease on calf diseases name, causes, occur timing, care and symptoms, etc., will be able to respond to accurate disease treatment and prevent other livestock from being infected in advance.

• The Journal of Korean Institute of Information Technology
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• v.16 no.11
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• pp.1-9
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• 2018

Drug repositioning is to discover new uses of drugs. Text mining derives knowledge from unstructured text. We propose a method to predict new drug-disease relationships by taking into account the rate of frequency of genes simultaneously measured in disease-gene and gene-drug. Co-occurrence of drug-gene and gene-disease in the biological literature is counted and calculate the rate of the gene for each drug and disease. Weights of drug-disease relationships are calculated using the average of the rates of genes that are measured and used to measure the accuracy for each disease. In measuring drug-disease relationships, a more accurate identification of relationships was shown by measuring the frequency on a sentence and considering multiple relationships than existing method.

• Journal of Navigation and Port Research
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• v.30 no.6 s.112
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• pp.551-559
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• 2006

The purpose of this study was to find out morbidity rate and pattern of disease and affect of variables related disease and medical management of seafares'. The subjects this study were 1049 seafares' were took education in Korea Institute of Maritime and Fisheries Technology. This questionnaire was focused on finding the basic data for prevention of disease and promotion health for the seafares'. The collected data were analyzed by using descriptive statistics, Chi-square, cross tab, linear regression by SPSS 10.1 package. The result of this study are as follow. 1)The morbidity rate within recent 12 months was 69.0%. 2)there were significant differences qf occurred disease in age(p<0.05), income(p<0.01), career of ship on board(p<0.01), rank(p<.01), perceived health status(p<0.01), worry of health(p<0.01), fatigue symptoms(0.01), satisfy of job(p<0.05), rest time(p<0.05) 3) Considering disease unable to work more than 4 hour, the number of those who had oral disease 7.3%> tinea 6.6%> gastric ulcer 6.4, and musculoskeletal disease group were 20.9%, which revealed the highest rate oral disease 13.6%> skin disease> 12.4%, digestive disease> 12.1%. 4) As refer to medical management, The pain above 31days 35.7%, hospitalization and treatment below 7days were each 50.2%, 42.8%, medical service were doctor's office 27.9, which revealed the highest rate.

• Journal of Science and Technology Studies
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• v.14 no.2
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• pp.165-198
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• 2014

This study investigated a mechanism of naming a disease, as examining how obesity attain a status of disease. WHO(World Health Organization) warned 'The obesity is definitely a disease to need medical treatment' in 1996 and 1997. However, before then, obesity was classified as unusual or nonstandard body status but it was not categorized as a disease. In order to examine a mechanism how obesity attain the status of disease, this study examined the historical process of construction to obesity in discourse of disease and ontological reality of pathological epidemiological to obesity. As a result of this research, it was found that the medical community manipulated BMI(Body Mass Index) and deliberately narrowed the range of person's normal weight, and institutionalized sizism. Especially, it was found that as the medical community associated the body state of obesity with high blood pressure, diabetes, and etc that causes burden of medical expenses to patients, that was fatphobia. And it tried to from a medical control mechanism to assign obesity to an independent status of a disease. Based on this examination, this study found an entailment: the noninfectious disease such as obesity attains the status of disease not because of the pathologic reason but because of cultural or socio-economical reason which han nothing to do with any medical source.