• The Journal of the Korea institute of electronic communication sciences
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• v.14 no.6
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• pp.1215-1220
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• 2019

Currently, each farm bears both the outbreak of foot-and-mouth disease and the damage caused by AI. In addition, complaints about odors in the livestock industry are constantly being recovered and are expected to occur in the future. The purpose of this study is to improve the indoor air quality of enclosed facilities such as barns, houses, pigsty, and etc. This paper develops low-temperature plasma waste heat ventilation system to be installed in ventilation unit location and standardizes heat exchange element, low-temperature plasma lamp, and ballast for enhanced air cleaning function. In addition, this study intends to develop a new control system so that the farmers can connect with existing weather systems, flow fans, and other facility equipment by incorporating ICT.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2013.10a
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• pp.865-866
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• 2013

의학기술의 발전과 소득수준의 증가에 따라 사라들은 단순히 전염병을 예방하거나 질병을 치료하는 수준이 아닌 '건강하게 오래 사는 것'을 원하면서 치료에서 예방으로, 의료 공급자 중심에서 의료 소비자 중심으로 의료산업의 패러다임이 변화하고 있다. 이에 건강을 미리 지키는 예방적 개념의 웰니스 산업의 빠르게 성장하고 있다. 이에 본 논문에서는 Continua Health Alliance(CHA) 에서 개인건강기기에 반드시 포함해야 하는 표준인 ISO/IEEE 11073을 활용하고 Bluetooth HDP를 통해 의료기기와 스마트TV간 연결을 확보하고 지속적으로 개인의 건강을 체크할 수 있는 건강관리 모니터링 앱을 통한 일상생활 속에서의 건강관리를 위한 스마트TV를 기반의 웰니스 솔루션을 설계하였다.

• KOREAN POULTRY JOURNAL
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• v.42 no.8
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• pp.146-149
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• 2010

여느 기업들과 마찬가지로 농장을 운영하는 목적은 이윤창출이다. 높은 이윤을 창출하기 위하여 농장은 우선 생산성을 극대화하기 위한 노력을 기울인다. 지난 8개월 동안 '잘되는 농장은 잘되는 이유가 있다.'라는 제목으로 생산성 향상을 이루기 위한 요인들로 습도관리, 환기관리, 물 관리, 차단방역관리, 사료관리, 계군 모니터링, 기록관리, 그리고 혹서기 관리에 대하여 연재하였다. 생각하는 각도에 따라서는 생산성 향상을 위해 제시된 요인들이 '너무나 당연한 사항들 아닌가?' 라고 쉽게 말 할 수도 있을 것이다. 그러나 필자의 경험상 그것은 그리 간단한 문제들이 아니다. 농장의 생산성을 향상시키기 위한 이들 요인들 가운데 각 농장별로 적합한 요인들을 분석하여 농장별 맞춤형 사양관리를 적용하여 농장의 생산성이 향상되는 결과를 얻을 수 있었지만 이러한 요인들을 농장에 적용하는 과정이 모두 원활하게 이루어진 것은 아니기 때문이다. 때로는 짧은 시간 내에 필자에 의해 제시된 방법들이 받아들여지기도 했지만, 생산성을 올릴 수 있는 좋은 방법들이 농장에 정착되기까지 수년이 걸리기도 했다. 양계전문병원 개원 첫해부터 현재까지 13년간을 되돌아볼 때 농장에 수의서비스를 제공하는 사람의 입장에서는 제시된 요인들이 농장에 적용되면서 생산성이 향상될 때 보람을 느끼게 된다. 보다 긍정적인 마인드를 가지고 잘 되는 농장의 잘 되는 이유를 다시 한 번 생각해보고 농장에 도움이 되는 방향으로 적용해 보길 바란다. 이번 호를 끝으로 잘되는 농장 시리즈를 마감하면서 농장의 생산성에 영향을 미치는 기타 요인들에 대해서 점검해 보기로 하자.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2014.05a
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• pp.500-502
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• 2014

Recently, a nursery and preschool are doing its best to protect children, but an unexpected accident happened. Generally, when children have been abnormal status by accident or disease, activity and body heat are changed. In this study, to prevent such accidents, we propose real-time monitoring system which take children's body heat and activity and manage children's status by smart-phone and PC.

• Journal of Korea Multimedia Society
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• v.24 no.2
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• pp.233-244
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• 2021

Recently, several ICT-based cat studies have produced some successful results, according to academic and industry sources. However, research on the level of simply identifying the cat's condition, such as the behavior and sound classification of cats based on images and sound signals, has yet to be found. In this paper, based on the veterinary scientific knowledge of cats, a practical and academic cat monitoring and disease diagnosis system is proposed to monitor the health status of the cat 24 hours a day by automatically categorizing and analyzing the behavior of the cat with location information using LSTM with a beacon sensor and a raspberry pie that can be built at low cost. Validity of the proposed system is verified through experimentation with cats in actual custody (the accuracy of the cat behavior classification and location identification was 96.3% and 92.7% on average, respectively). Furthermore, a rule-based disease analysis system based on the veterinary knowledge was designed and implemented so that owners can check whether or not the cats have diseases at home (or can be used as an auxiliary tool for diagnosis by a pet veterinarian).

• Korean Chemical Engineering Research
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• v.59 no.1
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• pp.100-105
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• 2021

This paper proposes the polydimethylsiloxane (PDMS) blade coating method for fabrication of paper-based analytical device (PAD) that is able to monitor the disease diagnosis and progress without special analytical equipment. The mold that has PAD design is easily modified by using laser cutting technique. And the fabricated mold is used for hydrophobic barrier formation by blade coating. We have optimized the stable formation of PDMS hydrophobic barrier as blade coating condition, which is established by analyzing the structure of the PDMS hydrophobic barrier and change of hydrophilic channel size as thickness of the ink and contact time with the chromatography paper. Based on optimal condition, we demonstrate that PAD as biosensor can apply to detect protein, glucose, and metal ion without special analysis equipment.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.10a
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• pp.289-290
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• 2022

Arteriosclerosis is a disease in which the carotid vessel wall becomes thick, and it is important to monitor the thickness of the vessel wall for diagnosis. In this study, we propose a model for extracting 324 radiomics features from carotid MRI images and diagnosing arteriosclerosis using machine learning techniques. We learned a total of four classification models: logistic regression, support vector machine, random forest, and XGBoost through radiomics features. XGBoost model, which showed the highest performance in 5-fold cross-validation, shows the results of accuracy 0.9023, sensitivity 0.9517, specificity 0.8035, AUC 0.8776.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.10a
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• pp.511-513
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• 2022

Digital Health Care is the convergence of ICT and (non)medical technology, emphasizing the importance of prevent and monitoring health management in terms of new challenging medical paradigm: predictive, preventive, personalized and participatory. Beyond the limited medical industry of long-term care insurance, it is emerging that AI, IoT, Big Data related new services with new technologies in the 4^th revolution era. It is also noted that business field based on test bed is emergent; Caring Robot, wearable devices need to be launched in the market. Diverse service is possible with Big Data and AI etc.

• Journal of the Korean Society of Radiology
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• v.84 no.3
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• pp.565-585
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• 2023

Perianal fistula is a common inflammatory condition in the general population and affects the area around the anal canal. Although most cases are benign, they cause serious morbidity and require surgical treatment due to a high risk of recurrence. MR imaging is a gold standard technique for the evaluation of perianal fistulas and provides accurate information on the anatomy of the anal canal, its relationship to the anal sphincter complex, accurate identification of secondary tracts or abscesses, and reporting associated complications. MR imaging can help monitor treatment effects and determine treatment methods. Crohn's disease-related fistulas often require medical rather than surgical treatment. The radiologist is required to know the anatomy and MR imaging findings of the perianal fistula to present an accurate diagnosis to the clinician.

• The Journal of the Korea Contents Association
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• v.10 no.10
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• pp.54-67
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• 2010

Applying the conventional machine-learning method which has been frequently used in health-care area has several fundamental problems for modern U-health service analysis. First of all, we are still lack of application examples of the traditional method for our modern U-health environment because of its short term history of U-health study. Second, it is difficult to apply the machine-learning method to our U-health service environment which requires real-time management of disease because the method spends a lot of time in the process of learning. Third, we cannot implement a personalized U-health diagnosis system using the conventional method because there is no way to assign weights on the disease-related variables although various kinds of machine-learning schemes have been proposed. In this paper, a novel diagnosis scheme PCADP is proposed to overcome the problems mentioned above. PCADP scheme is a personalized diagnosis method and it makes the bio-data analysis just a 'process' in the U-health service system. In addition, we offer a semantics modeling of the U-health ontology framework in order to describe U-health data and service specifications as meaningful representations based on this PCADP. The PCADP scheme is a kind of statistical diagnosis method which has characteristics of flexible structure, real-time processing, continuous improvement, and easy monitoring of decision process. Upto the best of authors' knowledge, the PCADP scheme and ontology framework proposed in this paper reveals one of the best characteristics of flexible structure, real-time processing, continuous improvement, and easy monitoring among recently developed U-health schemes.