• 제목/요약/키워드: Situation recognition

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A Study on the Recognition of Fire-fighters on Korean Civil Anti-Disaster Organization for Public Safety (국민안전을 위한 민간 방재조직에 대한 소방관들의 인식 연구)

  • Chae, Jong-Sik;Lee, Si-Young
    • Journal of Korea Entertainment Industry Association
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    • v.15 no.2
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    • pp.137-148
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    • 2021
  • This study sought for an improvement plan of the overall preventive activity of Korean Citizen-Corps-Active-In-Disaster(CAIND) by utilizing the fact that The fire-fighters, who are focusing on social disaster response works, are surveyed for their awareness of the vivid expertise to Korean CAIND. This group is defined as the assistant organization in law about disaster prevention which, the local residents willingly made to handle the situation of disaster occurrence. Since the characteristics of volunteer activities are also inherent, related issues are also reviewed at the same time to resolve any unclear arguments by disaster prevention activity characteristics of Korean Citizen Corps Active in Disaster. Through the results, the study provided three major suggestions for an improvement plan. The results of the study are as follows: First, the quota management system of Korean CAIND that considers the characteristics of rural areas should be actively supplemented. Second, the current reward system for Korean CAIND activities at large disaster sites should be surely improved. Third, the current education and training system of Korean CAIND to satisfy regional conditions should be newly established. The results of this study are largely expected to be utilized as a basic data to develop Korean CAIND in the future.

Implementation of Public Address System Using Anchor Technology

  • Seungwon Lee;Soonchul Kwon;Seunghyun Lee
    • International journal of advanced smart convergence
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    • v.12 no.3
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    • pp.1-12
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    • 2023
  • A public address (PA) system installed in a building is a system that delivers alerts, announcements, instructions, etc. in an emergency or disaster situation. As for the products used in PA systems, with the development of information and communication technology, PA products with various functions have been introduced to the market. PA systems recently launched in the market may be connected through a single network to enable efficient management and operation, or use voice recognition technology to deliver quick information in case of an emergency. In addition, a system capable of locating a user inside a building using a location-based service and guiding or responding to a safe area in the event of an emergency is being launched on the market. However, the new PA systems currently on the market add some functions to the existing PA system configuration to make system operation more convenient, but they do not change the complex PA system configuration to reduce facility costs, maintenance, and management costs. In this paper, we propose a novel PA system configuration for buildings using audio networks and control hierarchy over peer-to-peer (Anchor) technology based on audio over IP (AoIP), which simplifies the complex PA system configuration and enables convenient operation and management. As a result of the study, through the emergency signal processing algorithm, fire broadcasting was made possible according to the detection of the existence of a fire signal in the Anchor system. In addition, the control device of the PA system was replaced with software to reduce the equipment installation cost, and the PA system configuration was simplified. In the future, it is expected that the PA system using Anchor technology will become the standard for PA facilities.

A Study on the Organizational Development for Intelligent Technology Acceptance in ESG Management (ESG 경영을 위한 지능형 기술을 수용하는 조직개발 연구)

  • Jung Byoungho;Joo Hyungkun
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.19 no.1
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    • pp.77-89
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    • 2023
  • The purpose of this study is to empirically confirm what is an important variable of organizational change by intelligent technology acceptance and whether is a difference in important variables in the organization level of acceptance of intelligent technology. Recently, business models using intelligent technologies such as chat-bots, self-driving cars, credit-prevention fraud, face recognition, and health-care are emerging. External situation factors such as artificial intelligence, big data, COVID-19, and the ESG management are changing the direction of a company's management strategy. This research method established a structural equation model. As a result of the analysis, we found that the leadership, organizational culture, and organizational cooperation variables had a positive effect on human resource development variables. Human resource development found a positive effect on the performance of intelligent technology. In addition, we found the independent variables of leadership, organizational culture, and organizational cooperation had partial mediating effects on the performance of intelligent technology. Each group of levels of intelligent technology found performance differences. The organizational culture variables appeared as important variables in all groups. On the other hand, the leadership variable appeared as an important variable in the middle and lower groups of intelligent technology. The theoretical background of this study is that the business theory was updated through artificial intelligence and intelligent technology theory. As a practical implication, the organization adopting intelligent technology is necessary to prepare a systematic plan for organizational culture change.

Learning efficiency checking system by measuring human motion detection (사람의 움직임 감지를 측정한 학습 능률 확인 시스템)

  • Kim, Sukhyun;Lee, Jinsung;Yu, Eunsang;Park, Seon-u;Kim, Eung-Tae
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • fall
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    • pp.290-293
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    • 2021
  • In this paper, we implement a learning efficiency verification system to inspire learning motivation and help improve concentration by detecting the situation of the user studying. To this aim, data on learning attitude and concentration are measured by extracting the movement of the user's face or body through a real-time camera. The Jetson board was used to implement the real-time embedded system, and a convolutional neural network (CNN) was implemented for image recognition. After detecting the feature part of the object using a CNN, motion detection is performed. The captured image is shown in a GUI written in PYQT5, and data is collected by sending push messages when each of the actions is obstructed. In addition, each function can be executed on the main screen made with the GUI, and functions such as a statistical graph that calculates the collected data, To do list, and white noise are performed. Through learning efficiency checking system, various functions including data collection and analysis of targets were provided to users.

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Study on Enhancing National Defense Security based on RFID and Internet of Things Technology (RFID와 사물인터넷을 활용한 국방 보안 강화에 대한 연구)

  • Oh, Se-Ra;Kim, Young-Gab
    • Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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    • v.7 no.2
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    • pp.175-188
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    • 2017
  • Radio-frequency identification (RFID) is being used in various fields as a technology for identifying objects (people, things etc.) using radio frequencies. In the past, there was an attempt to apply RFID into national defense, but failed to spread RFID in the defense field because of some limitations of RFID in a specific situation (e.g., low recognition rate). Therefore, in this paper, we propose how to overcome the limitation of RFID by adopting the Internet of Things (IoT) technology which is considered as an important technology of the future. Furthermore, we propose four scenarios (i.e., healcare band and RFID, identification and anormal state detection, access control, and confidential document management) that can be used for enhancing national defense security. In addition, we analyze the basic characteristics and security requirements of RFID and IoT in order to effectively apply each technology and improve security level.

A Study on Gesture Interface through User Experience (사용자 경험을 통한 제스처 인터페이스에 관한 연구)

  • Yoon, Ki Tae;Cho, Eel Hea;Lee, Jooyoup
    • Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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    • v.7 no.6
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    • pp.839-849
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    • 2017
  • Recently, the role of the kitchen has evolved from the space for previous survival to the space that shows the present life and culture. Along with these changes, the use of IoT technology is spreading. As a result, the development and diffusion of new smart devices in the kitchen is being achieved. The user experience for using these smart devices is also becoming important. For a natural interaction between a user and a computer, better interactions can be expected based on context awareness. This paper examines the Natural User Interface (NUI) that does not touch the device based on the user interface (UI) of the smart device used in the kitchen. In this method, we use the image processing technology to recognize the user's hand gesture using the camera attached to the device and apply the recognized hand shape to the interface. The gestures used in this study are proposed to gesture according to the user's context and situation, and 5 kinds of gestures are classified and used in the interface.

A Comparative Study on the Rules of Origin of Fishery Products in South Korea's Major FTAs : Focused on the Korea-US FTA and European Agreements (우리나라 주요 FTA협정의 수산물 원산지 규정에 관한 비교 연구 - 한·미 및 유럽권 협정을 중심으로 -)

  • Park, Jin-Woo;Pak, Myong-Sop;Choi, Doo-Won
    • Korea Trade Review
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    • v.41 no.5
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    • pp.213-233
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    • 2016
  • In an FTA, rules of origin are decided by an agreement between countries directly involved and provided through a written agreement, considering the characteristics of each industry and the situations of the countries, for the characteristics of each item. The PSR on fishery products by item are broadly divided into an agreement that applies the wholly-obtained criterion and an agreement that applies the Change of Chapter (CC). Fishery products belong to HS Code Chapter 3, which are generally produced through obtaining by raising or fishing. This study compared each agreement from this point of view. For the fishery products caught, an error in the job-related judgment may occur in a situation in which the persons in charge do not have any background knowledge involved with high sea fisheries. Since ships may sail, hoisting the flag of the country of registration according to an international agreement, involved with requirements for the recognition of ships for the judgment of the country of origin, the principle of the exclusivity of the flag state should be taken into consideration.

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Spam Image Detection Model based on Deep Learning for Improving Spam Filter

  • Seong-Guk Nam;Dong-Gun Lee;Yeong-Seok Seo
    • Journal of Information Processing Systems
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    • v.19 no.3
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    • pp.289-301
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    • 2023
  • Due to the development and dissemination of modern technology, anyone can easily communicate using services such as social network service (SNS) through a personal computer (PC) or smartphone. The development of these technologies has caused many beneficial effects. At the same time, bad effects also occurred, one of which was the spam problem. Spam refers to unwanted or rejected information received by unspecified users. The continuous exposure of such information to service users creates inconvenience in the user's use of the service, and if filtering is not performed correctly, the quality of service deteriorates. Recently, spammers are creating more malicious spam by distorting the image of spam text so that optical character recognition (OCR)-based spam filters cannot easily detect it. Fortunately, the level of transformation of image spam circulated on social media is not serious yet. However, in the mail system, spammers (the person who sends spam) showed various modifications to the spam image for neutralizing OCR, and therefore, the same situation can happen with spam images on social media. Spammers have been shown to interfere with OCR reading through geometric transformations such as image distortion, noise addition, and blurring. Various techniques have been studied to filter image spam, but at the same time, methods of interfering with image spam identification using obfuscated images are also continuously developing. In this paper, we propose a deep learning-based spam image detection model to improve the existing OCR-based spam image detection performance and compensate for vulnerabilities. The proposed model extracts text features and image features from the image using four sub-models. First, the OCR-based text model extracts the text-related features, whether the image contains spam words, and the word embedding vector from the input image. Then, the convolution neural network-based image model extracts image obfuscation and image feature vectors from the input image. The extracted feature is determined whether it is a spam image by the final spam image classifier. As a result of evaluating the F1-score of the proposed model, the performance was about 14 points higher than the OCR-based spam image detection performance.

Gesture Control Gaming for Motoric Post-Stroke Rehabilitation

  • Andi Bese Firdausiah Mansur
    • International Journal of Computer Science & Network Security
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    • v.23 no.10
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    • pp.37-43
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    • 2023
  • The hospital situation, timing, and patient restrictions have become obstacles to an optimum therapy session. The crowdedness of the hospital might lead to a tight schedule and a shorter period of therapy. This condition might strike a post-stroke patient in a dilemma where they need regular treatment to recover their nervous system. In this work, we propose an in-house and uncomplex serious game system that can be used for physical therapy. The Kinect camera is used to capture the depth image stream of a human skeleton. Afterwards, the user might use their hand gesture to control the game. Voice recognition is deployed to ease them with play. Users must complete the given challenge to obtain a more significant outcome from this therapy system. Subjects will use their upper limb and hands to capture the 3D objects with different speeds and positions. The more substantial challenge, speed, and location will be increased and random. Each delegated entity will raise the scores. Afterwards, the scores will be further evaluated to correlate with therapy progress. Users are delighted with the system and eager to use it as their daily exercise. The experimental studies show a comparison between score and difficulty that represent characteristics of user and game. Users tend to quickly adapt to easy and medium levels, while high level requires better focus and proper synchronization between hand and eye to capture the 3D objects. The statistical analysis with a confidence rate(α:0.05) of the usability test shows that the proposed gaming is accessible, even without specialized training. It is not only for therapy but also for fitness because it can be used for body exercise. The result of the experiment is very satisfying. Most users enjoy and familiarize themselves quickly. The evaluation study demonstrates user satisfaction and perception during testing. Future work of the proposed serious game might involve haptic devices to stimulate their physical sensation.

A Research of Students' Perception on the Effects of SWH Application of Problem-Solving Type Inquiry Modules (문제해결형 탐구 모듈 적용에서의 SWH 활용 효과에 대한 학생들의 인식 조사)

  • Lee, Eun-Kyeong;Kang, Seong-Joo
    • Journal of The Korean Association For Science Education
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    • v.26 no.4
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    • pp.537-545
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    • 2006
  • The purpose of this study was to analyze the effects of the SWH application to problem-solving type inquiry modules. The modules were applied to 23 3rd grade students in middle school located in Chungbuk and the SWH strategy was applied to 3 experimental groups. The blue and green cards were presented at the problem emerging situation to the students to give enough thinking time. Using blue cards students propose solution to the problem in advance individually, then they discuss with group members using green cards and conduct experiments to solve the problem. SWH students exhibited better problem recognition and attitude.