• Title/Summary/Keyword: Computer Convergence

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Real-time Fall Accident Prediction using Random Forest in IoT Environment (사물인터넷 환경에서 랜덤포레스트를 이용한 실시간 낙상 사고 예측)

  • Chan-Woo Bang;Bong-Hyun Kim
    • Journal of Internet of Things and Convergence
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    • v.10 no.4
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    • pp.27-33
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    • 2024
  • As of 2023, the number of accident victims in the domestic construction industry is 26,829, ranking second only to other businesses (service industries). The accident types of casualties in all industries were falls (29,229 people), followed by falls (14,357 people). Based on the above data, this study attaches sensors to hard hats and insoles to predict fall accidents that frequently occur at construction sites, and proposes smart safety equipment that applies a random forest algorithm based on the data collected through this. The random forest model can determine fall accidents in real time with high accuracy by generating multiple decision trees and combining the predictions of each tree. This model classifies whether a worker has had a fall accident and the type of behavior through data collected from the MPU-6050 sensor attached to the hard hat. Fall accidents that are primarily determined from hard hats are secondarily predicted through sensors attached to the insole, thereby increasing prediction accuracy. It is expected that this will enable rapid response in the event of an accident, thereby reducing worker deaths and accidents.

A Study on Curriculum Model for Secure Access Service Edge in IoT Environment (사물인터넷 환경에서 보안 액세스 서비스 에지 교육과정 모델에 관한 연구)

  • Keun-Ho Lee
    • Journal of Internet of Things and Convergence
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    • v.10 no.4
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    • pp.65-70
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    • 2024
  • In the Internet of Things environment, new security requirements are changing rapidly. In this rapid change, if a breach occurs due to a security threat, great damage will occur. The SASE (Secure Access Service Edge) environment is highly vulnerable to security threats, and if a breach occurs, serious damage will occur. In order to strengthen the security of the SASE environment, a specialized curriculum that covers the unique characteristics and problem solving of SASE is required. In this paper, we propose a curriculum model for responding to security incidents in the SASE environment. The proposed curriculum model is designed to cover various aspects of SASE security, including threat types, breach scenarios, and response procedures. The goal of this model is to increase security awareness and prepare professionals to effectively handle security incidents within a SASE framework.

Deep Learning-Based Plant Health State Classification Using Image Data (영상 데이터를 이용한 딥러닝 기반 작물 건강 상태 분류 연구)

  • Ali Asgher Syed;Jaehawn Lee;Alvaro Fuentes;Sook Yoon;Dong Sun Park
    • Journal of Internet of Things and Convergence
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    • v.10 no.4
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    • pp.43-53
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    • 2024
  • Tomatoes are rich in nutrients like lycopene, β-carotene, and vitamin C. However, they often suffer from biological and environmental stressors, resulting in significant yield losses. Traditional manual plant health assessments are error-prone and inefficient for large-scale production. To address this need, we collected a comprehensive dataset covering the entire life span of tomato plants, annotated across 5 health states from 1 to 5. Our study introduces an Attention-Enhanced DS-ResNet architecture with Channel-wise attention and Grouped convolution, refined with new training techniques. Our model achieved an overall accuracy of 80.2% using 5-fold cross-validation, showcasing its robustness in precisely classifying the health states of tomato plants.

Body Composition Factor Comparisons of the Intracellular Fluid(ICW), Extracellular Fluid(ECW) and Cell Membrane at Acupuncture Points and Non-Acupuncture Points by Inducing Multiple Ionic Changes (생체이온 변화 유발 후 경혈과 비경혈에서의 생체 구조 성분 분석 및 비교를 통한 경혈 특이성 고찰)

  • Kim, Soo-Byeong;Chung, Kyung-Yul;Jeon, Mi-Seon;Shin, Tae-Min;Lee, Yong-Heum
    • Korean Journal of Acupuncture
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    • v.31 no.2
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    • pp.66-78
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    • 2014
  • Objectives : The specificity of acupuncture point has been a highly controversial subject. Existing researches said that ion-distribution differences are observed on the acupuncture point. This study was conducted under the assumption that multiple ionic changes induced by muscle fatigue would be different between the acupuncture point with non-acupuncture point. Methods : To induce the identical fatigue, twenty subjects performed the knee extension/flexion exercise using the Biodex System 3. ST32 and ST33 as well as adjacent non-acupuncture points were selected. We measured blood lactate and analyzed the median frequency(MF) and peak torque. To obtain the information on the extracellular fluid(ECW), intracellular fluid(ICW) and cell membrane indirectly, we used the multi-frequency bioelectrical impedance analysis(MF-BIA) method. Results : MF, peak torque and blood lactate level of all measurement sites were gradually returned to normal. Re resistance of ST32 had a stronger response, but a non-acupuncture point adjacent to ST33 had a larger response up to 20 minutes post exercise. Ri resistances were similar for both acupoints and non-acupoints. The $C_m$ capacitance of ST32 had a stronger response after inducing fatigue, but ST33 had a smaller response than a non-acupuncture point adjacent to it. Conclusions : In comparison with before and after inducing fatigue, the specificity of acupuncture points was not clearly observed. Hence, we concluded that the body composition factors extraction method had the limitation as a method of finding the specificity of acupuncture points by inducing fatigue.

A survey of the Necessity and Perceptions of Character Education of Health Science and Non-health Science University Students (일개 보건계열 및 비보건계열 학생들의 인성교육에 대한 필요성 및 인식도 조사)

  • Choi, Yong-Keum;Oh, Tae-Jin;Lee, Hyun;Lim, Kun-Ok;Hong, Ji-Heon;Kim, Eun-Jeong
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.20 no.8
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    • pp.344-351
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    • 2019
  • The purpose of this study was to obtain the basic data for developing more advanced courses on character education by surveying and analyzing the perception and demands of character education of university students and further, to provide useful information for creating institutional protocol on character education. The study was conducted from April 2018 to May 2018 on students attending the departments of non-health science and health science university students. A total of 206 students participated in this study, and all the students in the non-health science and health science departments were found to be highly aware of the need for character education, its importance and the possibility of personality development through learning. Students from all the departments showed high levels on average in terms of self-understanding according to their personality abilities, and especially their high levels of 'consideration' and 'responsibility'. For the differences in perception of self-efficacy, the lowest level of recognition was for 'will' and the average values were not high. In their response to personality level, all students answered that their personality was 'high' (42.1%), and that the personality education courses at the schools they are currently attending were 'not satisfied' with both the non-health science and health science students. As a result, there were higher results overall for the health science students than that for the non-health science students, but there were not many significant differences. To this end, education institutes will have to prepare conditions for university students to cultivate their expertise in character, while at the same time helping them grow into human beings with the qualities demanded by society. In addition, the government should establish curriculums and content by accurately identifying the needs of character education and devising concrete measures for their implementation, and by more faithfully considering quantitative and qualitative context types for the content base of character education.

A model for enhancing the academic excellence of adult college students (성인대학생의 학업수월성 강화를 위한 모형)

  • Kim, Eun Young;Kim, Jin Sook
    • The Journal of the Convergence on Culture Technology
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    • v.5 no.2
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    • pp.195-200
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    • 2019
  • The purpose of this study is to present a model for enhancing the academic excellence of adult college students. For this purpose, 408 adult college students attending 2-year and 4-year colleges in Busan, Daegu, and Gyeongbuk were surveyed and analyzed. The components of the model are curriculum, educational methods, evaluation of education, educational administration, educational environment, and institutional support and the results are as follows. First, the curriculum preferred by adult college students was to acquire diverse academic knowledge for a degree, to acquire knowledge and skills to develop skills for the workplace, and to acquire new information and knowledge regarding issues in society as a whole. Second, the professors' qualification among the educational methods preferred by adult college students was professional competence of the professors based on their theoretical and practical skills. The preferred teaching methods were lecture, discussion, action learning, and the project learning method in that order and video and PowerPoint were preferred as effective teaching mediums. Third, the preferred course for adult college students is operated on weekends, and three years was preferred to get a bachelor's degree. The possible hours of learning per day is 3~6 hours, indicating the necessity of e-learning, B-learning, and prior learning experience recognition systems. Fourth, the education evaluation method preferred by adult college students was a compromise method which is a mixture of absolute evaluation and relative evaluation, and it also showed the need for Pass or Non Pass evaluation method. Fifth, the internal factors of college selection preferred by adult college students were the acquisition of new knowledge and skills, and the external factors were desire to receive many opportunities related to employment and job improvement. The classroom, which provides an effective environment, was a fixed seat classroom and an indoor classroom environment was emphasized for desired educational environment. Sixth, institutional support preferred by adult college students was computer-related programs and learning club support services.

Forecasting Competition of Telecommunication Company in Full Browsing Service Market Based on First-Mover Advantage Analysis (풀브라우징 서비스 시장에서의 이동통신 3사의 경쟁 동향 분석: 선발자 이익 분석 관점)

  • Park, Jin-Soo;Choi, Young-Seok
    • Information Systems Review
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    • v.12 no.1
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    • pp.145-164
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    • 2010
  • Since the third generation (3G) mobile communication service has been launched by most mobile communication operators in Korea, the portion of data service in mobile communication service becomes one of the most important factors in mobile communication service market. In past mobile communication market, most mobile communication operators made their profit mostly from voice communication service. However, the portion of profit from data service has gradually increased based on both video phone call and mobile Internet service. In this situation, LG telecom launched the full browsing mobile Internet service. This service provides a new type of mobile Internet service platform which enables to access the World Wide Web using mobile browsers, so we generally access the Web using web browsers in the desktop computer. Under the open network structure of mobile Internet like situation, it is very important to analyze the factors which can affect the competition between mobile communication service companies. So, in this paper, we first present the current state of full browsing service, followed by the expectation of its growth potentials and barriers. Then, we analyze the advantages and disadvantage of LG telecom as a first-mover and SK telecom/KTF as followers. Finally, based on this analysis, we predict the future competition among these companies and the market.

Efficient Object Localization using Color Correlation Back-projection (칼라 상관관계 역투영법을 적용한 효율적인 객체 지역화 기법)

  • Lee, Yong-Hwan;Cho, Han-Jin;Lee, June-Hwan
    • Journal of Digital Convergence
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    • v.14 no.5
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    • pp.263-271
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    • 2016
  • Localizing an object in image is a common task in the field of computer vision. As the existing methods provide a detection for the single object in an image, they have an utilization limit for the use of the application, due to similar objects are in the actual picture. This paper proposes an efficient method of object localization for image recognition. The new proposed method uses color correlation back-projection in the YCbCr chromaticity color space to deal with the object localization problem. Using the proposed algorithm enables users to detect and locate primary location of object within the image, as well as candidate regions can be detected accurately without any information about object counts. To evaluate performance of the proposed algorithm, we estimate success rate of locating object with common used image database. Experimental results reveal that improvement of 21% success ratio was observed. This study builds on spatially localized color features and correlation-based localization, and the main contribution of this paper is that a different way of using correlogram is applied in object localization.

A Study on Application Design Scenarios for the Gas Safety Field Workers -focused on the pipe work- (가스 작업 안전 앱 시나리오 설계에 대한 연구 -배관 작업을 중심으로-)

  • Lee, Jooah;Kim, Mi-Hye;Kang, Bong Hee
    • Journal of Digital Convergence
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    • v.14 no.5
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    • pp.273-281
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    • 2016
  • The issue about the safety management of gas related work has been studied toward a direction to utilize IoT system recently. For this purpose, the matters of user's demand has been deduced through the literature survey, field survey, and professional consultation, by studying the characteristics of worker, work, and work site. In summary, these are the demands for mobile App, 1)a clear arrangement of contents, 2)a design with high readability, 3)a design with low death, 4) securing of user's accessibility, 5)an effective information transmission plan in the work section where it is impossible to operate the mobile device, 6)an activation of alarm function at the section of high working error, 7)a fast two-way transmission and receipt of safety inspection matter needed at work, 8)a selection of images and contents that can guide the situation to the worker in case of accident, 9)an alarm function for the degree of danger in an area of worker's location. Based on these, a basic design of safety application for gas related work has been proposed, that can secure the user accessibility.

Analysis of the Relationship between a Batter's Performance and Discomfort Index using Big Data: focusing on the Number of Pitches and On Base Percentage (빅데이터를 활용한 타자의 출루 관련 경기력과 불쾌지수의 관계 분석 : 투구 수 유도와 출루율을 중심으로)

  • Kim, Semin;You, Kangsoo
    • Journal of Industrial Convergence
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    • v.18 no.4
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    • pp.61-66
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    • 2020
  • Recently, attempts have been made to use data to operate games, seasons, and teams in professional baseball. Therefore, in this study, we collected baseball game records and analyzed the relationship between on-base rate and pitching count induction, and this was defined as the third record for non-game factors such as discomfort index, which includes the weather application data. When the discomfort index was over 75, the pitcher's induction of pitching was high, and when the discomfort index was less than 69.9, the on-base rate was high, but when the discomfort index was 70 or more and less than 75, the batter's on-base performance was the lowest. Through the results of the study, it could be inferred that the discomfort index, the batter's on-base rate, and the number of induction pitches are related, and that it is highly likely to be related to the pitcher's performance. Through this study, we could see the possibility of defining a cumulative/ratio record defined as the primary record and a saver metric defined as the secondary record, and a third, tertiary record linking data outside the game.