• Title/Summary/Keyword: 위치 서비스

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Complementary IT for Elderly Care Activities: From Family Caregivers' Perspectives (노인부양활동에 있어 Information Technology의 보완 역할에 관한 탐색적 연구: 노인부양자의 욕구를 중심으로)

  • Lee, Eue Hun;Han, Sae Mee
    • 한국노년학
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    • v.30 no.1
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    • pp.159-177
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    • 2010
  • This study focused on elderly caring issues and proposes Information Technology (IT) as the complementary tool of care activities, and it was aimed to identify application and feasibility of complementary IT for elderly care activities. Focus Group Interview (FGI) was conducted with current and potential caregivers respondents to explore caregivers' opinions and needs of care activities, and to suggest roles of IT which are helpful for elderly caregiving. The results showed that caregivers desire to check elderly care receivers' health, safety, and location whenever and wherever they want, and these caregivers' needs can be satisfied with IT by supporting caring ubiquitously. Moreover, this article provided more specific guidelines of IT applications for elderly caring services, so it expected positive roles of IT for elderly caring activities. However, this paper consequently emphasized IT must focus on only supporting and complementary roles of caregiving activities rather than alternative roles to enhance caregivers' caring efficiency and reduce their caring burden.

Error Analysis of General X-ray Examination by Using Simulation Training (시뮬레이션 교육을 통한 일반 X선 검사의 오류 분석)

  • Seoung, Youl-Hun
    • Journal of the Korean Society of Radiology
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    • v.12 no.7
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    • pp.919-927
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    • 2018
  • The purpose of this study was to present simulation training model for general X-ray examinations and to analyze the errors that occur during the simulation training. From 2012 to 2018, a total of 183 students (77 men and 106 women) participated. The simulated X-ray system used computed radiography (CR) system. The contents of simulation training were patient's care, X-ray examinations accuracy, images stability, etc. As a result, it were found that the patient's position setting error, the accuracy error of the X-ray beam central ray, the image receptor's size and setting error, the error of the grid use, the marking error, and the error of X-ray exposure technical factors. It is expected that improved practical general X-ray examinations training of radiographer will be needed, focusing on these errors, so that we could contribute to the health care of the people by providing precise examinations and high quality medical service.

A Method for Driver Recognition and Steering Wheel Turning Direction Estimation Using Smartwatches (스마트워치를 이용한 자동차운전자 구분 및 핸들의 회전 방향 인지 기법)

  • Huh, Joon;Choi, Jaehyuk
    • Journal of IKEEE
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    • v.23 no.3
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    • pp.844-851
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    • 2019
  • As wearable technology is becoming more common and a part of our lives, there have been many efforts to offer various smart services with wearable devices, such as motion recognition, safety of driving, and so on. In this paper, we present a method that exploits the 9-axis inertial sensors embedded in a smartwatch to identify whether the user is a vehicle driver or not and to estimate the steering wheel turning direction in the vehicle. The system consists of three components: (i) position recognition, (ii) driver recognition, and (iii) steering-wheel turning detection components. We have developed a prototype system for detecting user's motion with Arduino boards and IMU sensors. Our experiments show high accuracy in recognizing the driver and in estimating the wheel rotation angle. The average experimental error was $11.77^{\circ}$ which is small enough to perceiver the turning direction of steering-wheel.

Deep Neural Network-Based Scene Graph Generation for 3D Simulated Indoor Environments (3차원 가상 실내 환경을 위한 심층 신경망 기반의 장면 그래프 생성)

  • Shin, Donghyeop;Kim, Incheol
    • KIPS Transactions on Software and Data Engineering
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    • v.8 no.5
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    • pp.205-212
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    • 2019
  • Scene graph is a kind of knowledge graph that represents both objects and their relationships found in a image. This paper proposes a 3D scene graph generation model for three-dimensional indoor environments. An 3D scene graph includes not only object types, their positions and attributes, but also three-dimensional spatial relationships between them, An 3D scene graph can be viewed as a prior knowledge base describing the given environment within that the agent will be deployed later. Therefore, 3D scene graphs can be used in many useful applications, such as visual question answering (VQA) and service robots. This proposed 3D scene graph generation model consists of four sub-networks: object detection network (ObjNet), attribute prediction network (AttNet), transfer network (TransNet), relationship prediction network (RelNet). Conducting several experiments with 3D simulated indoor environments provided by AI2-THOR, we confirmed that the proposed model shows high performance.

A Dynamic Investigation of iBeacon Adoption at Tourism Destination (관광지에서의 iBeacon 도입에 대한 동태적 분석)

  • Choedon, Tenzin;Lee, Young-Chan
    • Journal of Industrial Convergence
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    • v.16 no.2
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    • pp.1-14
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    • 2018
  • The interconnectedness of all things is continuously expanding. For example, bluetooth low energy (BLE) beacons are wireless radio transmitters that can send an identifier to nearby receivers and trigger a number of applications, from proximity marketing to indoor location-based service. iBeacon technology which is one of the newest technologies in the smart tourism field, is reckoned as being very useful for travelers in enhancing the experience with visiting places. However, there is consequently not much existing research yet about the connection between iBeacon technology and tourism destination. Considering that, this study analyzes the adoption of iBeacon in tourism destination, this study examine the interrelationships and feedback structures of key factors in iBeacon adoption. To serve the purpose, this study used system dynamics approach to develop a model of iBeacon adoption in tourism destination. The analysis results showed that the concept of 'Social Influences' is one of the significant predictors for individual's intention behavior to accept iBeacon, and word of mouth (WOM), subjective norm, privacy concern, and perceived usefulness are key factors influencing the iBeacon adoption.

Design and Implementation of Reception Systems for Non-Face-To-Face Medical Services (비대면 의료 서비스를 위한 접수시스템 설계 및 구현)

  • Baek, Yu-Jin;Lee, Hyo-Seung;Oh, Jae-Chul
    • The Journal of the Korea institute of electronic communication sciences
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    • v.16 no.5
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    • pp.975-980
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    • 2021
  • As technology utilizing low-power short-range wireless communication is applied in conjunction with medical information as a development of the fourth industrial revolution, interest in medical information is increasing. As the age group of smart devices increases and becomes more common, related research such as linking mobile devices with various objects and equipment is continuously being conducted. In addition, interest in untact (non-face-to-face) is increasing due to the prevalence of Coronavirus Disease-19 (COVID-19), including various infectious diseases. As a result, it is a state that requires distance not only in social but also in life. In this study, using a low-power near-field wireless communication technology of beacons to create an IoT device by communicating with the web server of the medical information system was studied to make it easier to receive medical treatment during visits to medical institutions.

Simulated water quality effects of alternate grazing management practices (가축 방목형태에 따른 수질영향 모의)

  • Park, Jong-Yoon
    • Proceedings of the Korea Water Resources Association Conference
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    • 2018.05a
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    • pp.52-52
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    • 2018
  • 목초지에서 비점오염원 유출특성은 가축밀도(stocking rate)와 방목형태(grazing management practice)에 기인하여 다르게 나타난다. 전통적인 방목형태는 한 대상지역에서 높은 가축밀도의 연속적인 방목(continuous grazing)을 취하는 것인데, 이 경우 토양압밀에 따른 강우의 침투량 감소, 가축의 배설물 축적 등으로 비점오염 유출량이 증가할 수 있으며, 식물의 재성장기간 부족으로 지속적인 방목지 운영이 어려울 수 있다. 순환방목(rotational grazing)은 이러한 연속적 방목 형태의 부정적인 영향을 개선하고자 대안으로 제시되었다. 방법은 구역을 나누고 초본식물의 생육상태를 고려하여 일정기간이 지나면 다른 구역으로 이동 시키며 방목하는 형태이다. 기존의 연구들은 단위 면적당 적정 가축밀도, 필드규모에서 방목형태에 따른 비점오염 유출특성에 초점을 두고 있으며, 결과들은 가축밀도의 영향보다는 방목형태에 의한 수문, 수질 영향이 더 크다고 지적하고 있다. 이에 본 연구에서는 이러한 가축밀도(Heavy vs Light) 및 방목형태(Continuous vs Rotational)가 유역의 비점오염 유출특성에 미치는 영향을 정량적으로 평가하고자, 미국 북텍사스 지역에 위치한 Clear Creek 유역을 대상으로 4개의 방목시나리오(heavy continuous[HC], light continuous[LC], multi-paddock[MP], no grazing)를 구성하고 Soil and Water Assessment Tool(SWAT) 모형에 적용하였다. SWAT 모형은 대상유역 내 4개의 방목지에서 측정한 토양수분 및 식물 바이오매스 자료, 유역 출구점에서 관측된 장기간의 수문 수질 자료를 이용하여 검증되었다. 연구결과는 순환방목(MP) 시나리오가 수질보호 및 토양침식 방지, 식생의 영양염류 흡수능력이 커지는 것과 같이 생태계서비스 기능의 개선 측면에서 최적의 방목형태(best grazing management)인 것으로 나타났으며, 이러한 결과는 가축밀도 보다는 방목형태에 기인한 것으로 필드와 유역스케일에서 동일한 결과를 보여주었다. 그러나 유역 내 목초지의 차지비율에 따라 순환방목 채택에 따른 비점오염 유출량의 감소효과는 다르게 나타나게 된다.

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Deep learning based optimal evacuation route guidance system in case of structure fire disaster (딥러닝 기반의 구조물 화재 재난 시 최적 대피로 안내 시스템)

  • Lim, Jae Don;Kim, Jung Jip;Hong, Dueui;Jung, Hoekyung
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.23 no.11
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    • pp.1371-1376
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    • 2019
  • In case of fire in a structure, it is difficult to suppress fire because it can not accurately grasp the location of fire in case of fire. In this paper, we propose a system algorithm that can guide the optimal evacuation route in case of deep learning-based (RNN) structure disaster. The present invention provides a service to transmit data detected by sensors to a server in real time by using installed sensor, to transmit and analyze information such as temperature, heat, smoke, toxic gas around the sensor, to identify the safest moving path within a set threshold, to transmit information to LED guide lights and direction indicators in a structure in real time to avoid risk factors. This is because the information of temperature, heat, smoke, and toxic gas in each area of the structure can be grasped, and it is considered that the optimal evacuation route can be guided in case of structure disaster.

Improvement Mechanism of Security Monitoring and Control Model Using Multiple Search Engines (다중 검색엔진을 활용한 보안관제 모델 개선방안)

  • Lee, Je-Kook;Jo, In-June
    • The Journal of the Korea Contents Association
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    • v.21 no.1
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    • pp.284-291
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    • 2021
  • As the current security monitoring system is operated as a passive system only for response after an attacker's attack, it is common to respond to intrusion incidents after an attack occurs. In particular, when new assets are added and actual services are performed, there is a limit to vulnerability testing and pre-defense from the point of view of an actual hacker. In this paper, a new security monitoring model has been proposed that uses multiple hacking-related search engines to add proactive vulnerability response functions of protected assets. In other words, using multiple search engines with general purpose or special purpose, special vulnerabilities of the assets to be protected are checked in advance, and the vulnerabilities of the assets that have appeared as a result of the check are removed in advance. In addition, the function of pre-checking the objective attack vulnerabilities of the protected assets recognized from the point of view of the actual hacker, and the function of discovering and removing a wide range of system-related vulnerabilities located in the IP band in advance were additionally presented.

An Enhanced Ultralightweight RFID Authentication Protocol Providing Strong Authentication and Privacy (강한 인증과 프라이버시를 보장하는 개선된 초경량 RFID 인증 프로토콜)

  • Jeon, Dong-Ho;Kim, Young-Jae;Kwon, Hye-Jin;Jeong, Seon-Yeong;Kim, Soon-Ja
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.19 no.5
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    • pp.81-91
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    • 2009
  • Recently, Chein et al proposed the ultralightweight strong authentication and strong integrity (SASI)protocol, where the tag requrires only simple bitwise operations. Since the tag does not support random number generator to generate a challenge nonce, an attacker can replay old messages and impersonate reader. However, all of the previous ultralightweight authentication schemes are vlunerable to various attacks: de-synk, eavesdropping, impersonating, tracking, DoS, disclosure etc. we analyze the problems of previous proposed ultrlightweight protocols, to overcome these security problems by using PRNG on the tag. Therefore, in this paper we propose a new lightweight RFID mutual authentication protocol that provides random number generator and bitwise operations, a security and an efficiency of the proposed schme analyze.