• Title/Summary/Keyword: Information-giving

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Analyzing the Problem of the Caregiver Education System through a Research of the Caregiving Service Activity (요양보호 서비스 활동 조사를 통한 요양보호사 교육과정의 문제점 분석)

  • Suh, Tae-Soo;Kim, Kyong-Tae;Jun, Kyoung-Hee
    • The Journal of Korean Physical Therapy
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    • v.20 no.4
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    • pp.61-69
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    • 2008
  • Purpose: We evaluated caregivers' understanding of patients' diseases and disuse syndrome, the understanding of exercise and massage related to rehabilitation and the necessity of education about these, the difference in education and realities of the care-giving field, and the extra services needed in the field. Methods: The survey using questionnaires was performed from June 2008 to August 2008 with 220 people participated in caregive education programme in daegu city and area near dagu city. Among the 220 submitted questionnaires, 184 which were faithfully answered were selected and they were analyzed by i-STATistics statistical program. Results: The educational focus of the first and second level caregivers, as defined by the second clause of the 29th article of the Elderly Welfare law, is on basic knowledge of diseases such as dementia, stroke, and depression. However, other diseases are not covered and the information does not include information on decreased function, complications, functional rehabilitating exercises, or preventing disuse syndrome for long term patients. The most common diseases, in order of prevalence, are stroke, dementia, diabetes mellitus, Parkinson disease, arthritis, and geriatric inertness. The general level of awareness about disuse syndrome was low, and patients, while understanding the need for massage and rehabilitative exercise, receive little education about the proper methods and therefore cannot use them. Patients also did not understand how participating in these activities could reduce medical fees, indicating that further education on massage and rehabilitative exercise is needed. Caregivers desired to include positive rehabilitation, massage, and exercise-related services in their services. Finally, differences in caregiver education and reality resulted from a lack of diversity in education. Conclusion: We suggest providing education on disuse atrophy and improving the lack of diversity in the care-giving education system.

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A Restriction Strategy for Automated Reasoning using a Fuzzy Algorithm (퍼지 알고리즘을 이용한 자동화된 추론의 입력 제한 기법)

  • Kim, Yong-Gi;Baek, Byeong-Gi;Gang, Seong-Su
    • The Transactions of the Korea Information Processing Society
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    • v.4 no.4
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    • pp.1025-1034
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    • 1997
  • Inference process of resolution-based automated reasoning easily consumes the memory of computer without giving any useful result by priducing lots of fruioless information which are not necessary for the conslusion. This paper suggests a control strategy for saving the space of computer memory and reducing the inference time. The strategy uses a restriction that comparatively irrelevant axioms do mot take pare in the resoluition. In order to analyze and determine the priorities of the input axioms of joning the inference process, the system employs the fuzzy relational products.

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A Study on the Functionality of Title Page of the Cataloging (서지데이터 요소 채기 우선순에서 표제지의 기능성 연구)

  • 남태우
    • Journal of the Korean Society for information Management
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    • v.21 no.1
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    • pp.55-92
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    • 2004
  • The title page of a book is a reliable source, since it. together with its verso, usually contains all bibliographically significant data. Generally, the title page is a page at the beginning of a book giving its title and the names of the author and publisher. Prescribing a source of information from which data elements should be derived is a way of specifying how an entity can represent itself. In simpler times, when bibliographic entities were fur the most part books published in Western countries, the choice of source was obviously the title page. the "face of the book".

An Application of fuzzy TOPSIS in evaluating IT proposals (IT 제안서의 기술평가에서의 퍼지 TOPSIS 응용)

  • Jeong, Giho
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.13 no.1
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    • pp.197-211
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    • 2017
  • In recent years, it is natural that the development and the maintenance of information systems are strongly dependent on outside service providers for economic reasons, especially in public sector. There has been an unexpected growth in the number of selection activities for outsourcing related works. At this time, selection of the contractor generally considers the proposals received based on the RFP(requested for proposal) and determines the ranking by experts committee. However, it is difficult even for expert giving a specific numeric score in weighting criteria or rating alternatives. In this context, an extended fuzzy TOPSIS method is applied for selection problem of IT proposals. A numerical illustration is also provided to demonstrate the applicability of the approach. This approach is very practical to help decision makers in assessing proposals during the selection phase under uncertainties.

Improved DT Algorithm Based Human Action Features Detection

  • Hu, Zeyuan;Lee, Suk-Hwan;Lee, Eung-Joo
    • Journal of Korea Multimedia Society
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    • v.21 no.4
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    • pp.478-484
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    • 2018
  • The choice of the motion features influences the result of the human action recognition method directly. Many factors often influence the single feature differently, such as appearance of the human body, environment and video camera. So the accuracy of action recognition is restricted. On the bases of studying the representation and recognition of human actions, and giving fully consideration to the advantages and disadvantages of different features, the Dense Trajectories(DT) algorithm is a very classic algorithm in the field of behavior recognition feature extraction, but there are some defects in the use of optical flow images. In this paper, we will use the improved Dense Trajectories(iDT) algorithm to optimize and extract the optical flow features in the movement of human action, then we will combined with Support Vector Machine methods to identify human behavior, and use the image in the KTH database for training and testing.

A Computer Vision-based Assistive Mobile Application for the Visually Impaired (컴퓨터 비전 기반 시각 장애 지원 모바일 응용)

  • Secondes, Arnel A.;Otero, Nikki Anne Dominique D.;Elijorde, Frank I.;Byun, Yung-Cheol
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.65 no.12
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    • pp.2138-2144
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    • 2016
  • People with visual disabilities suffer environmentally, socially, and technologically. Navigating through places and recognizing objects are already a big challenge for them who require assistance. This study aimed to develop an android-based assistive application for the visually impaired. Specifically, the study aimed to create a system that could aid visually impaired individuals performs significant tasks through object recognition and identifying locations through GPS and Google Maps. In this study, the researchers used an android phone allowing a visually impaired individual to go from one place to another with the aid of the application. Google Maps is integrated to utilize GPS in identifying locations and giving distance directions and the system has a cloud server used for storing pinned locations. Furthermore, Haar-like features were used in object recognition.

Application of Kalman Filter to Cricket based Indoor localization system

  • Kim, Sung-Ho;Zhang, Chong-Yi
    • Journal of the Korean Institute of Intelligent Systems
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    • v.18 no.4
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    • pp.537-542
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    • 2008
  • Cricket is an excellent indoor location system and it can successfully solve many critical problems such as user privacy, decentralized administration. But in some practical applications, Cricket sometimes didn't provide location with enough accuracy, and was unable to determine when it was giving inaccurate information. For getting high-accuracy tracking performance from location data contaminated with noise, some types of filters are required. Kalman Filter is an efficient recursive filter that estimates the state of a dynamic system from a series of incomplete and noisy measurement. The filter is very powerful in the field of autonomous and assisted navigation. In this paper, we carry out comparative studies to validate the performance of the application of Kalman Filter to Cricket based localization system.

Comics with Drama: New Communication in Wedia

  • Hu, Jia-Wen;Tsang, Seng-Su
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.9 no.10
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    • pp.4143-4159
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    • 2015
  • We-the-media (aka wedia) is a concept where the users of social networking sites, such as Facebook, turn into the broadcasters. This study used the popular application Bitstrips as the experiment tool. Facebook was used as the Wedia platform for publishing designed comics, then used the three elements of Goffman's dramaturgy model-role, scene and dialog-to analyze 265 comics created by 3 researchers and observe the audience's responses within 9 months. The results showed that people want to see a good story with positive dialogue, and prefer scene is school more than work. As all these elements are controllable, Wedia communication has the potential for more applications. We also found that including the elements of news, gambling and gift-giving tended to trigger greater response. Furthermore, We suggesting that such embedding of product information in web episodes (webisodes) with caricature could be a successful marketing strategy.

Effective Multi-label Feature Selection based on Large Offspring Set created by Enhanced Evolutionary Search Process

  • Lim, Hyunki;Seo, Wangduk;Lee, Jaesung
    • Journal of the Korea Society of Computer and Information
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    • v.23 no.9
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    • pp.7-13
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    • 2018
  • Recent advancement in data gathering technique improves the capability of information collecting, thus allowing the learning process between gathered data patterns and application sub-tasks. A pattern can be associated with multiple labels, demanding multi-label learning capability, resulting in significant attention to multi-label feature selection since it can improve multi-label learning accuracy. However, existing evolutionary multi-label feature selection methods suffer from ineffective search process. In this study, we propose a evolutionary search process for the task of multi-label feature selection problem. The proposed method creates large set of offspring or new feature subsets and then retains the most promising feature subset. Experimental results demonstrate that the proposed method can identify feature subsets giving good multi-label classification accuracy much faster than conventional methods.

User-Level Delegation in Role-Based Access Control Model (역할기반 접근제어에 기초한 사용자 수준의 위임 기법)

  • 심재훈
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.10 no.3
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    • pp.49-62
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    • 2000
  • Role-Based Access Control(RBAC) has recently received considerable attention as a alternative to traditional discretionary and mandatory access control to apply variant organizations function hierarchy of commercial or govemment. Also RBAC provides a delegation that is one of control principles in organization. In general delegation occurring in real organization is performed by an user giving permissions to another user. But, RBAC cannot implement these user-level delegation correctly. And delegation result in security problem such as destroying separation of duty policy information disclosure due to inappro-priate delegation. Besides security adminsitrator directly deals with that problem. In this thesis we suggests some methods that is created by the user.