• Title/Summary/Keyword: Software on-demand

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A Study on Development of Automatic Water-gate Design Software (전자동 수문설계 소프트웨어 개발에 관한 연구)

  • 서병태;김일수
    • Transactions of the Korean Society of Machine Tool Engineers
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    • v.10 no.3
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    • pp.50-54
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    • 2001
  • Manufacturing is characterized by increasing product variety and technical complexity, decreasing levels of demand, expanding global competition and declining profitability of organizations. To survive in such a complex environment, development of the automatic design system into design and manufacturing can be introduced to increase the flexibility and adaptability to markets. This paper presents the development of an automatic water-gate design system that composed of a main program and three modules, and was programmed by AutoLISP language under AutoCAD system. The devel-oped system is capable of generating water-gate design automatically according to input data as customer requirement.

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Development of University-Industry Cooperation in the Republic of Kazakhstan

  • Abishev, Olzhas;Lee, Joon-Won
    • Journal of information and communication convergence engineering
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    • v.7 no.4
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    • pp.437-441
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    • 2009
  • With a dramatically increased demand from technology and software industries for higher competence, university-industry cooperation is becoming an increasingly important subject. This cooperation has previously been shown to be for advantage of the industries as well as a suitable tactics to in early stage recruit students. This paper has investigated the relationship and cooperation between universities and industries trough exploratory research (case studies) and comprehensive interviews with relevant contacts at different IT (Information Technology) companies and Universities in Kazakhstan. From the information collected from these interviews, we'll examine and conclude what makes this cooperation beneficial for both parties as well as the issues that arose. Based on these interview results, recommendation for industries as well as universities to improve their cooperation will be presented. Concerning these recommendations of investigated practices and case studies, this document identifies a range of actions to enhance the relationship between universities and industries as well as identify a number of examples of good practice which universities and industries may wish to consider in their cooperation planning.

A Study on VR Curriculum (VR 교육과정에 대한 고찰)

  • Song, Pil-Jae;Ryou, Hee-Sahm
    • Journal of Internet of Things and Convergence
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    • v.2 no.4
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    • pp.21-25
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    • 2016
  • In this paper, we review curriculum of VR related Departments in 2-3 years colleges. We gather the educational requirements from the current and future VR industry, and we survey the VR short education courses and the curriculum. The demand for VR content is expected to more than triple by 2020 compared to the equipment industry. Therefore, a VR course at a practical two-year college should have a lot of contents-oriented curriculum.

A Study on the Application of AHP to the Selection of Optimum Size of Korean Developing Airliner (AHP를 이용한 한국형 중형여객기의 최적 규모 선정에 관한 연구)

  • 은희봉;허희영
    • Korean Management Science Review
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    • v.18 no.2
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    • pp.97-105
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    • 2001
  • For the airplane manufacturing industry, to decide the sloe of developing airplane is very important because it affect the developing costs, the type of production industry like national independence production or international cooperation production, etc.. And the decision must be made by the base of national aviation industry, status of technology, economic factors and national and international demand, etc. This paper was studied to present a model for the application of AHP to the decision of optimum size of Korean developing airliner. For this study, a questionnaire was developed In respect to the criteria of developing airliner and given to 50 of professors, researchers and experts who participated in this part. The AHP software developed by Korean Advanced Institute of Science Technology (KAIST) was used to analyze the data.

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Advanced Planning System: A Prerequisite for Achieving Build-to-Order Environment (주문생산에 필수적인 진보적 생산계획 시스템)

  • 강윤식;이휘재;문광원;노성관;임헌욱
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2002.10a
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    • pp.93-96
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    • 2002
  • The manufacturing paradigm has shifted dramatically over the past decade from “push” or mass production mode to “pull” or customer-driven, order-based manufacturing mode, as multitudes of customers now demand mass customization of configurable products. As a means to achieve such rapidly responsive manufacturing system, Advanced Planning System (APS) has become an essential software tool for achieving modern “build-to-order” and “configure-to-order” manufacturing environment. APS enables manufacturers to respond to variety of customer demands In real time by instantly configuring manufacturing processes based on specifications described in each purchase orders and providing capable-to-promise information directly to customer by performing rapid “what-if” manufacturing simulated scenarios. This paper discusses the working of such system as well as the business processes that incorporate such systems to enable efficient “build-to-order” environment.

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R&D Redundancy and Similarity Check System (클라우드 기반 R&D 연구 보고서 문서표절 및 유사도 검출 시스템)

  • Shin, Hyojoung;Park, Kiheung;Haing, Huhduck
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2016.01a
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    • pp.31-32
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    • 2016
  • 최근 정부의 R&D 연구에 대한 지원 규모 증가로 인해 전국가적으로 활발하게 기술 연구가 진행되고 있지만 예산을 집행하는 과정에서 기술 연구개발 과제의 중복연구로 시간과 예산을 낭비하는 사례를 노출하고 있다. 이와 같은 문제점을 해결하기 위해서는 정부 R&D 과제 선정과정에서 연구주제의 중복성 방지 등 근원적 혁신이 필요하다. 본 논문에서는 텍스트 마이닝 기술 및 빅데이터 분석 기술(하둡, 아마존 웹 서비스)과 같은 데이터 분석 기술이 도입된 클라우드 기반 R&D 연구 보고서 문서표절 및 유사도를 검출하는 시스템을 제안한다. 본 시스템은 SaaS 형태의 "on-demand software"로 웹 접속만으로 사용이 가능하다.

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Blockchain based Learning Management Platform for Efficient Learning Authority Management

  • Youn-A Min
    • International Journal of Internet, Broadcasting and Communication
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    • v.15 no.3
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    • pp.231-238
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    • 2023
  • As the demand for distance education increases, interest in the management of learners' rights is increasing. Blockchain technology is a technology that guarantees the integrity of the learner's learning history, and enables learner-led learning control, data security, and sharing of learning resources. In this paper, we proposed a blockchain technology-based learning management system based on Hyperledger Fabric that can be verified through permission between nodes among blockchain platforms. Learning resources can be shared differentially according to the learning progress. Also the percentage of individual learners that can be managed. As a result of the study, the superiority of the platform in terms of convenience compared to the existing platform was demonstrated. As a result of the performance evaluation for the research in this paper, it was confirmed that the convenience was improved by more than 5%, and the performance was 4-5% superior to the existing platform in terms of learner satisfaction.

Using Ensemble Learning Algorithm and AI Facial Expression Recognition, Healing Service Tailored to User's Emotion (앙상블 학습 알고리즘과 인공지능 표정 인식 기술을 활용한 사용자 감정 맞춤 힐링 서비스)

  • Yang, seong-yeon;Hong, Dahye;Moon, Jaehyun
    • Proceedings of the Korea Information Processing Society Conference
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    • 2022.11a
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    • pp.818-820
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    • 2022
  • The keyword 'healing' is essential to the competitive society and culture of Koreans. In addition, as the time at home increases due to COVID-19, the demand for indoor healing services has increased. Therefore, this thesis analyzes the user's facial expression so that people can receive various 'customized' healing services indoors, and based on this, provides lighting, ASMR, video recommendation service, and facial expression recording service.The user's expression was analyzed by applying the ensemble algorithm to the expression prediction results of various CNN models after extracting only the face through object detection from the image taken by the user.

BER Performance Analysis of Strongest Channel Gain User for IRS NOMA with Rician Fading

  • Kyuhyuk Chung
    • International journal of advanced smart convergence
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    • v.12 no.4
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    • pp.20-25
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    • 2023
  • Increasing demand for increasing higher data rate in order to solve computationally tasks timely and connecting many user equipment simultaneously have requested researchers to develop novel technology in the area of mobile communications. Intelligent reflecting surface (IRS) have been enabling technologies for commercialization of the fifth generation (5G) networks and the sixth generation (6G) systems. In this paper, we investigate a bit-error rate (BER) analysis on IRS technologies for non-orthogonal multiple access (NOMA) systems. First, we derive a BER expression for IRS-NOMA systems with Rician fading channels. Then, we validate the BER expression by Monte Carlo simulations, and show numerically that BER expressions are in good agreement with simulations. Moreover, we investigate the BER of IRS-NOMA systems with Rician fading channels for various numbers of IRS elements, and show that the BERs improve as the number of IRS elements increases.

Game Theory-Based Scheme for Optimizing Energy and Latency in LEO Satellite-Multi-access Edge Computing

  • Ducsun Lim;Dongkyun Lim
    • International journal of advanced smart convergence
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    • v.13 no.2
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    • pp.7-15
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    • 2024
  • 6G network technology represents the next generation of communications, supporting high-speed connectivity, ultra-low latency, and integration with cutting-edge technologies, such as the Internet of Things (IoT), virtual reality, and autonomous vehicles. These advancements promise to drive transformative changes in digital society. However, as technology progresses, the demand for efficient data transmission and energy management between smart devices and network equipment also intensifies. A significant challenge within 6G networks is the optimization of interactions between satellites and smart devices. This study addresses this issue by introducing a new game theory-based technique aimed at minimizing system-wide energy consumption and latency. The proposed technique reduces the processing load on smart devices and optimizes the offloading decision ratio to effectively utilize the resources of Low-Earth Orbit (LEO) satellites. Simulation results demonstrate that the proposed technique achieves a 30% reduction in energy consumption and a 40% improvement in latency compared to existing methods, thereby significantly enhancing performance.