• 제목/요약/키워드: Users and Expert

검색결과 320건 처리시간 0.029초

Implementation of MDCT core in Digital-Audio with Micro-program type vector processor

  • Ku Dae Sung;Choi Hyun Yong;Ra Kyung Tae;Hwang Jung Yeun;Kim Jong Bin
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2004년도 학술대회지
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    • pp.477-481
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    • 2004
  • High Quality CD, OAT audio requires that large amount of data. Currently, multi channel preference has been rapidly propagated among latest users. The MPEG(Moving Picture Expert Group) is provides data compression technology of sound and image system. The MPEG standard provides multi channel and 5.1 sounds, using the same audio algorithm as MPEG-l. And MPEG-2 audio is forward and backward compatible. The MDCT (Modified Discrete Cosine Transform) is a linear orthogonal lapped transform based on the idea of TDAC(Time Domain Aliasing Cancellation). In this paper, we proposed the micro-program type vector processor architecture a benefit in MDCT/IMDCT of MPEG-II AAC. And it's reduced operating coefficient by overlapped area to bind. To compare original algorithm with optimized algorithm that cosine coefficient reduced $0.5\%$multiply operating $0.098\%$ and add operating 80.58\%$. Algorithm test is used C-language then we designed hardware architecture of micro-programmed method that applied to optimized algorithm. This processor is 20MHz operation 5V.

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An Improved Interval AHP Method for Assessment of Cloud Platform-based Electrical Safety Monitoring System

  • Wang, Shou-Xiang;Ge, Lei-Jiao;Cai, Sheng-Xia;Zhang, Dong
    • Journal of Electrical Engineering and Technology
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    • 제12권2호
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    • pp.959-968
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    • 2017
  • Electrical safety monitoring System (ESMS) is a critical component in modern power systems, which is characterized by large-scale access points, massive users and versatile requirements. For convenience of the information integration and analysis, the software development, maintenance, and application in the system, the cloud platform based ESMS is established and assessed in this paper. Firstly the framework of the system is proposed, and then the assessment scheme with a set of evaluation indices are presented, by which the appropriate cloud product can be chosen to meet the requirements of a specific application. Moreover, to calculate the weights of the evaluation indices under uncertainty, an improved interval AHP method is adopted to take into consideration of the fuzziness of expert scoring, the qualitative consistency test, and the two normalizations in the process of eigenvectors. Case studies have been made to verify the feasibility of the assessment approach for ESMS.

통합플랫폼관리체제에서 규칙 및 사례기반의 하이브리드 화재진압통제 지능시스템 (A Hybrid Fire Fighting Control Intelligent System using Rules and Cases in Integrated Platform Management System)

  • 현우석;김용기
    • 지능정보연구
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    • 제6권2호
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    • pp.15-27
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    • 2000
  • 본 논문에서는 통합플랫폼관리체제하에서 선박에서 발생하는 화재를 탐지하기 위하여 규칙 및 사례기반의 하이브리드 화재진압통제 지능시스템(H-FFIS)을 제안한다·기존의 화재진압통제 지능시스템은 대부분 규칙기반 시스템인데, 실제로 화재를 탐지하는데 필요한 지식은 정형화된 규칙만으로 표현하기 어려우며, 과거의 화재 발생 사례를 기초로 탐지하는 경우가 적지 않다. 또한 시스템의 성능 향상을 위해서 규칙을 계속 수정하고 추가해야 하는 단점이 있으며, 예외적인 상황에서 화재 가 발생시 적시에 화재를 탐지하는데 문제점을 지니고 있다. 이러한 문제점들을 개선하기 위하여 규칙 및 사례 기반의 하이브리드 지능시스템을 설계하고 구현한다. 제안하는 시스템은 기존의 FFIS 와 비교해 볼 때 화재 탐지율을 향상시켰다.

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무선 센서망을 이용한 교량 관리 시스템 (A Bridge Management System Using Wireless Sensor Networks)

  • 박찬흠;김영락;김근덕;박희주;김종근
    • 한국통신학회논문지
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    • 제35권5B호
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    • pp.824-832
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    • 2010
  • 구조물의 관리에서 전문 관리 인력이 직접 조사하는 방식은 예산이나 검사 방법 및 주기에 따라 그 효과가 달라진다. 따라서 효과적이며 자동화된 구조물의 유지관리 방안이 필요하다. 교량 관리에서 자동화된 관리 방안으로는 몇몇 교량에 유선통신 방식을 이용한 상시 감시 시스템을 구축, 운영하고 있으나 교량 통합관리 시스템으로서의 성능은 초보적인 수준에 머물고 있다. 본 논문에서는 센서 네트워크를 적용한 교량의 통합관제 시스템을 구현한다. 교량에 설치된 센서를 무선망으로 구성하고 수집된 정보의 상시 모니터링을 위해 교량 관리자를 위한 기능과 관리시스템 관리용 기능, 그리고 비전문가용 웹 기반 모니터링 시스템을 구축하였다. 본 연구의 결과는 실험대상 교량에 적용하여 그 효과를 분석하고 있다.

Understanding of Business Simulation learning: Case of Capsim

  • KIM, Jae-Jin
    • 4차산업연구
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    • 제1권1호
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    • pp.31-40
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    • 2021
  • Purpose - According to the importance of business simulation learning as a new type of business learning tool, this study reviews the dimensions of business education and a brief history of business education simulation. At the end Capsim strategic management simulation program is introduce with its feature. Research design, data, and methodology - This study has been analyzed in a way that reviews at previous literature on simulation learning and looks at examples and features of Capsim simulation, online business simulation tools which has been used in the global market. Result - Capsim simulations are designed to offer focused opportunities for deep practice. That's why they are often more effective than passive tools such as textbooks, videos, or lectures. By the way, 'deep practice' is very different from 'ordinary practice'. After commuters who drive to school or work can accumulate thousands of hours of driving, but that doesn't make them expert drivers. The key to deep practice is self-awareness. That is, paying attention to what you are doing well and not so well. This is so important to learn that scientists use a specific term for it: 'metacognition', or thinking about the way you think and learn. Conclusion - The use of business simulation learning, such as Capsim, which is a given case, can create similar local systems by potentially engaging a large number of users in the virtual market. It could also be used as an individual to complete business training for students and those who are active in the business field of business.

한의임상정보은행 활용도 제고를 위한 교육용 데이터 개발 (Development of Korean Medicine Data Center(KDC) Teaching Dataset to Enhance Utilization of KDC)

  • 백영화;이시우
    • 사상체질의학회지
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    • 제29권3호
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    • pp.242-247
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    • 2017
  • Objective Korean medicine Data Center (KDC) has established large-scale biological and clinical data based on Korean medicine to demonstrate and validate its theory. The aim of this study was to develop KDC teaching dataset and user guideline to improve utilization of the KDC. Method KDC teaching dataset were selected using stratified random sampling according to the Sasang constitution (SC). This dataset included 72 variables of 500 sample subjects. The user guideline described how to conducted eight statistical analysis methods using the teaching dataset. Results The KDC teaching dataset was sampled from 200(40%) Taeeumin, 125(25%) Soeumin, and 175(35%) Soyanain. It was consisted of questionnaire (basic, habit, disease, symptom), physical exam (body measurement, blood pressure), blood exam, and expert' SC diagnosis. The usage guidelines provided instruction for users to perform several statistical analysis step by step with KDC teaching dataset. Conclusion We hope that our results will contribute to enhancing KDC utilization and understanding.

멀티미디어 시스템의 동영상 노드를 위한 앵커의 인간공학적 설계지침 (Human factors guidelines for designing anchors in the moving pictures on multimedia systems)

  • 한성호;김미정;곽지영
    • 대한산업공학회지
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    • 제22권2호
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    • pp.265-276
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    • 1996
  • Multimedia systems present information by various media, for example, video, sound, music, animation, movie, etc., in addition to the text which has long been used for conveying the information. Among many multimedia applications, the multimedia information retrieval systems commercialized in the forms of multimedia encyclopedia CD-ROMs, benefited from various media for their ability to present information in an efficient and complete way. But using several media, on the other hand, may cause end users' confusion and furthermore, poorly designed user interface often exacerbates the situation. In this study, the multimedia systems were studied from the standpoint of usability. The conceptual framework of the user interface of the multimedia system was newly defined. And 100 initial variables for user interface design of general multimedia systems were suggested through literature survey and expert opinions based upon the framework developed. Among various application areas, the multimedia information retrieval systems were chosen for investigation, and 36 variables particularly relevant to user interface of the multimedia information retrieval systems were selected. According to the sequential research strategy, the variables that were considered to be most important were finally selected through a screening stage. A part of selected variables were verified through a human factors experiment as the first step of sequential research. Based upon the result of the experiment, guidelines for user interface design were provided. For future study, the variables remained will be Investigated and the study will expand to another application areas.

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Generative Interactive Psychotherapy Expert (GIPE) Bot

  • Ayesheh Ahrari Khalaf;Aisha Hassan Abdalla Hashim;Akeem Olowolayemo;Rashidah Funke Olanrewaju
    • International Journal of Computer Science & Network Security
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    • 제23권4호
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    • pp.15-24
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    • 2023
  • One of the objectives and aspirations of scientists and engineers ever since the development of computers has been to interact naturally with machines. Hence features of artificial intelligence (AI) like natural language processing and natural language generation were developed. The field of AI that is thought to be expanding the fastest is interactive conversational systems. Numerous businesses have created various Virtual Personal Assistants (VPAs) using these technologies, including Apple's Siri, Amazon's Alexa, and Google Assistant, among others. Even though many chatbots have been introduced through the years to diagnose or treat psychological disorders, we are yet to have a user-friendly chatbot available. A smart generative cognitive behavioral therapy with spoken dialogue systems support was then developed using a model Persona Perception (P2) bot with Generative Pre-trained Transformer-2 (GPT-2). The model was then implemented using modern technologies in VPAs like voice recognition, Natural Language Understanding (NLU), and text-to-speech. This system is a magnificent device to help with voice-based systems because it can have therapeutic discussions with the users utilizing text and vocal interactive user experience.

유전자 알고리즘을 활용한 부실예측모형의 구축 (A GA-based Rule Extraction for Bankruptcy Prediction Modeling)

  • Shin, Kyung-shik
    • 지능정보연구
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    • 제7권2호
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    • pp.83-93
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    • 2001
  • 기업부실예측은 과거로부터 많은 연구가 이루어진 분야로, 주로 통계기법에 의한 분류예측문제로 다루어져 왔다. 최근에는 인공신경망, 의사결정나무 등 비선형성을 반영할 수 있는 인공지능 기법을 적용한 연구가 많이 수행되고 있다. 본 연구에서는 최적화에 주로 활용하는 인공지능 기법인 유전자 알고리즘을 규칙추출을 통한 기업부실예측 모형의 개발에 적용하고, 활용가능성을 검증하였다.

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지체장애인 맞춤형주택 디자인가이드라인의 사용자혜택 분석 (User Benefits Analysis of Customized House Design Guidelines for Physically Disabled People)

  • 이연숙;장미선;박지영
    • 한국주거학회논문집
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    • 제26권6호
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    • pp.93-102
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    • 2015
  • Most existing residential environment of disabled people has made them exposed to the risk of safety accidents, and therefore hinders their independent living. In this regard, the importance of desirable residential environment has emerged. Some preceding studies have addressed the characteristics of disabled people's residential environment plan; however, the information on what environmental benefits are offered through such characteristics is insufficient. This study aims to analyze the housing design guidelines for disabled people in respect of the benefit of disabled people who are actual users. In this study, essential design guidelines for disabled people verified through expert workshop panel was analyzed based on user benefit theory. According to the study results, the total guidelines have the most characteristics supporting behavioral facilitation, and mainly consist of physiological maintenance characteristics related to disabled people's health and safety. Also, it is founded that environmental affordance essentially required depending on each spatial function was different. The ratio of physiological maintenance item is high in access route, unlike living room, kitchen and bed room where behavioral facilitation is especially emphasized. These findings can be utilized as basic data for customized residential environment plan to realize residential welfare for disabled people.