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Development of exercise posture training system using deep learning for human posture recognition (인체 자세 인식 딥러닝을 이용한 운동 자세 훈련 시스템 개발)

  • Jang, Jae-Ho;Jee, Jun-Hwan;Kim, Du-Hwan;Choi, Min-Gi;Yun, Tae-Jin
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2020.07a
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    • pp.289-290
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    • 2020
  • 본 논문에서는 오픈 소스인 openpose skeleton tracking 기술을 이용하여 특정 운동 동작을 영상처리 기술과 딥러닝 기술로 인체 자세에 대해서 인지와 상황 판단하여 운동 동작에 대한 인식 결과를 도출할 수 있다. 먼저 입력받은 영상을 전달받아서 딥러닝 인식 시스템를 통해 인식 결과을 추출한 뒤 비교, 분석한 후에 사전 등록된 운동 동작 명칭으로 화면에 표시하여 이용자가 정확한 동작을 취할 수 있도록 지도하는 데 활용할 수 있다. 또한, 이 기술은 행동 인식부터 얼굴 인식, 손동작 인식 등에 다양하게 활용할 수 있다.

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벤처캐피탈의 투자 위험 관리와 성과와의 관계

  • Kim, Eun-Seop;Bae, Tae-Jun;Han, Jeong-Hwa
    • 한국벤처창업학회:학술대회논문집
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    • 2020.06a
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    • pp.19-23
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    • 2020
  • 본 연구는 벤처캐피탈의 투자심사단계 및 투자 이후 사후관리단계에서의 리스크 관리·활용과 투자성과 사이의 관계를 살펴보았다. 즉, 투자심사단계에서는 투자대상기업을 발굴한 벤처캐피탈의 리스크 분석 및 대응방안의 활용수준과 투자성과와의 관계를 규명하였고, 사후관리단계에서는 리스크 관리를 위한 모니터링 활동과 투자성과와의 관계를 규명하였다. 본 연구에서는, 첫째, 투자심사 단계에서의 경영리스크 및 재무·법률 리스크 분석 및 활용 수준이 정량적인 투자성과, 특히, 특허 등록수에 긍정적인 영향을 미치는 것으로 나타났다. 둘째, 벤처캐피탈의 주요 역할인 투자 이후의 모니터링에 대하여는, 주관적 투자 만족도에 긍정적인 영향을 미치는 것으로 나타났다. 본 연구를 통하여 투자대상기업을 발굴하여 리스크 관리 중심으로 투자를 심사·집행하고, 투자 이후 리스크 관리 중심으로 투자기업의 가치를 증대하기 위하여는 벤처캐피탈리스트의 역할이 특히 중요하다는 것을 알 수 있었다. 투자기업이 보유한 자원·역량에 한계가 있다는 점을 고려할 때, 벤처캐피탈의 역량이 투자기업에 지원되는 것은 해당 기업이 지속적으로 성장하기 위한 바탕이 될 것이다.

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Effect of an Individually Tailored Program Based on Self-Measurement of Blood Glucose on Health Behavior and HbA1c in Diabetes and Pre-diabetes Patients (자가혈당측정 기반의 개별 맞춤형 프로그램이 당뇨병 및 당뇨병 전단계 환자의 건강행태와 당화혈색소에 미치는 영향)

  • Kim, Yoon-kyung;Kim, Bo-Ra;Yoo, Eun-Suk;Yun, Seo-Yeong;Jeong, Mi-Jeong;Choi, Ji-Hye;Choi, Jae-Soon;Sung, Hyun-Jin;Kang, Young-Suk;Lee, Min-Sook;Hwang, Tae-Yoon
    • Journal of agricultural medicine and community health
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    • v.47 no.2
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    • pp.67-77
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    • 2022
  • Objective: This study was to evaluate the effectiveness of an individually tailored program based on self-measurement of blood glucose on health behavior and HbA1c in diabetes and pre-diabetes patients. Methods: The program consisted of seven sessions for 12 weeks which were carried out every two weeks. Almost all sessions were progressed on untact method except for the first and last session. The 71 subjects were assessed for their knowledge of diabetes, health behavior, the experience of self-measurement of blood glucose, body mass Index (BMI) and hemoglobin A1c (HbA1c) at before and after the program. They were also evaluated on their degree of utilization of blood glucose measurements after the program. Results: Each mean score on their knowledge of diabetes, health behavior and the experience of self-measurement of blood glucose was significantly increased from 14.77, 25.50, and 2.70 to 15.41, 28.40, and 4.81, respectively. Each mean score on both BMI and HbA1c (n=53) was significantly decreased from 24.47kg/m2 and 7.27% to 24.01kg/m2 and 6.67%, respectively. The post-HbA1c had a significant negative correlation(r=-0.415) with the degree of utilization of blood glucose measurements. The degree of utilization of blood glucose measurements had a significant positive correlation(r=0.581) with post-health behavior. Conclusions: The program shows effectiveness in improving HbA1c in Type 2 diabetes and pre-diabetes patients. The post-HbA1c might be related to the degree of utilization of blood glucose measurements which might be related to the health behavior.

Analysis of conflict cases and suggestions for cooperation in order to activate street performances (거리공연활성화를 위한 갈등사례분석과 협력방안 제안 연구)

  • Hwang, Kyung-Soo;Lee, Gwan-Hong;Yang, Jeong-Cheol
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.19 no.1
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    • pp.379-388
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    • 2018
  • This study aims to analyze the causes of conflict between street performing subjects and identify methods to induce their collaboration in promoting a creative city. This study proposes preventive mechanisms after identifying potential problems in performances on the streets of Jeju, which aims to become "the island of culture and art". To this aim, the type and relationship between the subjects of conflict, characters of conflict, solutions, extent and role of tolerance, responses of the subjects, and type of conflict management employed were examined and analyzed. We employed an in-depth interview method involving cases of conflict occurring during street performances in Jeju. were categorized into 6 types. First is conflict resulting from the lack of facilities. Second is conflict caused by non-designated performance venues. Third is conflict due to exclusive ambiance. Fourth is conflict resulting from direct engagement by neighboring residents. Fifth is conflict between residents and police during performances. Sixth is conflict by lack of definite relationship with relevant institutes. To systematically resolve these conflicts, we propose the following management methods: (1) behavioral approach of pretraining through a registration system; (2) establishment of busking zones and allocation after registration; (3) training of facilitators to manage street performances and extended roles; (4) establishment of standards for street performances through the systematic approach of ordinance; (5) training to secure tolerance of residents; and (6) simplification of deliberation process by building a collaborative system among institutes.

A Cost-Benefit Analysis on the Introduction of EU REACH to Korea (EU 신화학물질정책(REACH) 도입에 대한 비용편익 분석)

  • Cheong, Hoe-Seog
    • Journal of Environmental Policy
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    • v.8 no.3
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    • pp.53-79
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    • 2009
  • This study conducted a regulatory impact analysis regarding the introduction of the Korean version of REACH(Registration, Evaluation and Authorization of Chemicals). The direct cost of the Korean REACH is estimated at a total of 101 billion Korean won over the 11 year period. The cost includes pre-registration, testing, registration, Chemical Safety Assessment(CSA) and Chemical Safety Report(CSR), evaluation, and the authorization costs of 15,223 chemical substances produced and imported more than 1 ton per year in Korea in 2006. With regard to the benefit, the only public health benefit is included in the estimation. Based on the available foreign and domestic data, this study estimated that the economic values of public health benefits are in the range of 33.2~138.6 billion Korean won if only the savings of the National Health Expenditures are considered and it reaches 203.9~1,640.3 billion Korean won if the willingness to pay(WTP) for disease prevention is included. This study proved that the Korean REACH passed the cost/benefit criteria. The benefit-cost ratio of the Korean REACH, however, is estimated to be lower than its EU counterpart. Thus it is suggested that a rigorous study to reduce the costs to industry be required before the Korean government introduces the Korean REACH.

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Management System of Sexual Crime Ex-convict in Police (경찰의 성범죄 전력자 관리)

  • Kim, Sang-Woon;Jo, Hyun-Bin
    • The Journal of the Korea Contents Association
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    • v.11 no.12
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    • pp.273-283
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    • 2011
  • The fear of civilians has recently increased due to sexual crimes. Unlike other crimes, sexual crimes mostly go unreported and are more likely to be repeated. The rape cases, which constitute the highest percentage of sexual crimes, represent that 62% of the sex offenders were ex-convicts in 2009. Therefore this study examined activities to prevent sexual crimes implemented by Ministry of Justice and Ministry of Gender Equality & Family, Police's criminal management as well as 1:1 management of ex-convicts, and sexual offender management of foreign nations as the measure for sexual crimes, which cause social problems. From these, we suggested legal, institutional and practical problems, as well as solutions such as manual production, revision of related laws and special police education.

Design and Implementation of the Multi-level Pre-fetch and Deferred-flush in BADA-III for GIS Applications (GIS 응용을 위한 바다-III의 다단계 사전인출과 지연쓰기의 설계 및 구현)

  • Park, Jun-Ho;Park, Sung-Chul;Shim, Kwang-Hoon;Seong, Jun-Hwa;Park, Young-Chul
    • Journal of the Korean Association of Geographic Information Studies
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    • v.1 no.2
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    • pp.67-79
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    • 1998
  • Most GIS applications are read-intensive on a large number of spatial objects and when the spatial objects are composite objects, the contained objects within the composite objects are also accessed. In GIS applications, creation, deletion, and update operations on spatial objects occur very rarely, but once they occur they deal with a large number of spatial objects. This paper proposes the concept of the multi-level pre-fetch query to retrieve a large number of spatial objects efficiently, and the functionality of the deferred-flush on the newly created persistent objects into the database with the optimal performance, and presents the design and implementation details of those ideas into an object-oriented DBMS BADA-III while considering these characteristics of GIS applications. The multi-level pre-fetch query retrieves the objects that satisfy the query and the objects that are contained within the objects up to the level specified by users, and registers the retrieved objects on the client cache. The deferred-flush flushes a large number of composite objects that are created by the application with a minimal overhead of the server and a minimal number of communications between the client and the server. These two functionality are suitable for the applications that search or create a large number of composite objects like GIS applications.

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Phase-based Model Using Web Documents for Korean Unknown Word Recognition (웹문서를 이용한 단계별 한국어 미등록어 인식 모델)

  • Park, So-Young
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.13 no.9
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    • pp.1898-1904
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    • 2009
  • Recently, real documents such as newspapers as well as blogs include newly coined words such as "Wikipedia". However, most previous information processing technologies cannot deal with these newly coined words because they construct their dictionaries based on materials acquired during system development. In this paper, we propose a model to automatically recognize Korean unknown words excluded from the previously constructed dictionary. The proposed model consists of an unknown noun recognition phase based on full text analysis, an unknown verb recognition phase based on web document frequency, and an unknown noun recognition phase based on web document frequency. The proposed model can recognize accurately the unknown words occurred once and again in a document by the full text analysis. Also, the proposed model can recognize broadly the unknown words occurred once in the document by using web documents. Besides, the proposed model fan recognize both a Korean unknown verb, which syllables can be changed from its base form by inflection, and a Korean unknown noun, which syllables are not changed in any eojeol. Experimental results shows that the proposed model improves precision 1.01% and recall 8.50% as compared with a previous model.

Virtual Credit Card Number Payment System with Stored Hash Value for Efficient Authentication (효율적인 인증을 위한 해시 저장방식의 가상카드번호 결제 시스템)

  • Park, Chan-Ho;Kim, Gun-Woo;Park, Chang-Seop
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.25 no.1
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    • pp.5-15
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    • 2015
  • Electronic transactions have been increasing with the development of the high-speed Internet and wireless communication. However, in recent years financial corporations and mobile carriers were attacked by hackers. And large numbers of privacy information have been leaked. In particular, in the case of credit card information can be misused in the online transaction, and the damage of this given to cardholder. To prevent these problems, it has been proposed to use a virtual card number instead of the actual card number. But it has security vulnerability and requires additional security infrastructure. In this paper, we analyzed the proposed virtual card number schemes. and we propose a new virtual credit card number scheme. In the newly proposed scheme, cardholder generates a key pair (public key/private key) and pre-register public key to the issuer. then, cardholder can pay no additional security infrastructure while still efficiently satisfy the security requirements.

Statistical Approach to Sentiment Classification using MapReduce (맵리듀스를 이용한 통계적 접근의 감성 분류)

  • Kang, Mun-Su;Baek, Seung-Hee;Choi, Young-Sik
    • Science of Emotion and Sensibility
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    • v.15 no.4
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    • pp.425-440
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    • 2012
  • As the scale of the internet grows, the amount of subjective data increases. Thus, A need to classify automatically subjective data arises. Sentiment classification is a classification of subjective data by various types of sentiments. The sentiment classification researches have been studied focused on NLP(Natural Language Processing) and sentiment word dictionary. The former sentiment classification researches have two critical problems. First, the performance of morpheme analysis in NLP have fallen short of expectations. Second, it is not easy to choose sentiment words and determine how much a word has a sentiment. To solve these problems, this paper suggests a combination of using web-scale data and a statistical approach to sentiment classification. The proposed method of this paper is using statistics of words from web-scale data, rather than finding a meaning of a word. This approach differs from the former researches depended on NLP algorithms, it focuses on data. Hadoop and MapReduce will be used to handle web-scale data.

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