• Title/Summary/Keyword: 중소기업 정보시스템

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Design of Security Method for Network Rendering of Augmented Reality Object (홀로그램 용 증강현실 객체의 네트워크 랜더링을 위한 보안 기법 설계)

  • Kim, Seoksoo;Kim, Donghyun
    • Journal of Convergence for Information Technology
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    • v.9 no.1
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    • pp.92-98
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    • 2019
  • Due to the development of hologram display technology, various studies are being conducted to provide realistic contents for augmented reality. In the case of the HMD for hologram, since augmented reality objects must be rendered by a small processor, it is necessary to use a low-capacity content. To solve this problem, there is a need for a technique of rendering resources by providing resources through a network. In the case of the existing augmented reality system, there is no problem of contents modulation because the resources are loaded and rendered in the internal storage space. However, when providing resources through the network, security problems such as content tampering and malicious code insertion should be considered. Therefore, in this paper, we propose a network rendering technique applying security techniques to provide augmented reality contents in a holographic HMD device.

Method of In-Vehicle Gateway to Reduce the Reprogramming Time (리프로그래밍 시간 단축을 위한 차량 게이트웨이 개선 방안)

  • Kim, Jin-Ho;Ha, Kyung-Jae
    • Journal of Convergence for Information Technology
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    • v.9 no.7
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    • pp.25-32
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    • 2019
  • This paper proposes the method of an in-vehicle gateway to reduce the reprogramming time for the ECU (Electronic Control Unit). In order to reduce the reprogramming time, the gateway must prohibit transmitting messages, that are not related to reprogramming, to the destination CAN network, and no ECU should diagnose the DTC(Diagnostic Trouble Code) that indicates CAN communication error caused by prohibiting CAN messages by the gateway. Moreover, STmin, which are the minimum time between two consecutive CAN messages, should be minimized. In order to do this, this paper proposes the method that uses the link control command specified in UDS(Unified Diagnostic Services) and hardware based gateway functionality that are supported by the latest MCU(Micro Controller Unit). The proposed method is developed using TC275 based embedded system, and its results are presented.

An Analysis on Economic Effects of Smart Sewage Pipe (스마트 하수도 구축의 경제적 파급효과 분석)

  • Kim, Sung Tai;Lim, Byung In;Oh, Hyun-Taek;Park, Kyoo-Hong
    • Journal of Convergence for Information Technology
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    • v.9 no.7
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    • pp.78-84
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    • 2019
  • The purpose of this study is to introduce the concept of the Smart Sewer System and to analyze the economic ripple effect when smart sewer is built all over Korea. The research method is the input-output model based on the assumption that the smart sewerage will be constructed throughout the Korea from 2021 to 2040. Estimation results show that the production-induced effect reaches 343.73 trillion Korean won, the added value-induced effect is 155.867 trillion Korean won, and the employment-induced effect is estimated by 25,118,470, indicating that the smart sewer project leads to being considerably large in the nation-wide economy. In addition, the increase of social welfare by smart sewer is expected to be realized through the improvement of both the environment improvement and the national health. Therefore, the smart sewer project should be implemented without delay by planning a concrete road map and putting it into effect with a budget.

Elderly Speech Signal Processing: A Systematic Review for Analysis of Gender Innovation (노인음성신호처리: 젠더혁신 분석에 대한 체계적 문헌고찰)

  • Lee, JiYeoun
    • Journal of Convergence for Information Technology
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    • v.9 no.8
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    • pp.148-154
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    • 2019
  • The purpose of this study is to review systematically the literatures on the research of the elderly speech signal processing based on the domestic gender innovation and to introduce the utility and innovation of the gender analysis methods. From 2000 to present, among the 37 research papers published in the Korean Journal, 25 papers were selected according to the inclusion and exclusion criteria. And gender analysis methods were applied to gender research subject and design. Research results show diversity of research field and high gender recognition of R & D team are needed in research and development of engineering of gender innovation perspective. In addition, government-level regulation and research funding should be systematically applied to gender innovation research processes in the elderly voice signal processing and various gender innovation projects. In the future gender innovation in the elderly speech signal processing can contribute to the creation of a new market by developing a voice recognition system and service that reflects the needs of both men and women.

Relationship among Pre-service Early Childhood Teacher's Perception on Technology Equipment Use, Computational Thinking, and TPACK (예비유아교사의 테크놀로지 기기 활용인식과 컴퓨팅 사고력, 테크놀로지 교과교육학 지식의 관계)

  • Song, Yun-Kyung;Hwang, Sheen-Hai
    • Journal of Convergence for Information Technology
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    • v.9 no.9
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    • pp.166-174
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    • 2019
  • This study aims to determine factors influencing pre-service early childhood teachers' perception of technology equipment. Online survey is conducted to 289 students majoring in Early Childhood Education and Child Development located in city A, B, and C. SPSS 25 program analyzes 273 answers. The results show that technology education experience in high school influences TPACK and TPACK's sub-factor technology knowledge; and that technology education experience in college (university?) has a positive influence on computational thinking, perception of technology, TPACK, and TPACK's sub-factors-technology knowledge, early childhood education knowledge, and TPACK knowledge. In addition, perception of technology equipment shows high correlation with TPACK and computational thinking. Indeed, computational thinking and TPACK have 42.3% explanatory power on perception of technology equipment. The results imply that education system supporting computational thinking and TPACK should be prioritized for pre-service early childhood teacher to use technology effectively in the field.

Real Scale Experiment for Suspended Solid Transport Analysis and Modeling of Particle Dispersion Model (부유 물질 거동 분석을 위한 실규모 실험 및 입자 분산 모형 적용)

  • Shin, Jaehyun;Park, Inhwan;Seong, Hoje;Rhee, Dong Sop
    • Journal of Convergence for Information Technology
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    • v.10 no.12
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    • pp.236-244
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    • 2020
  • In this research a suspended solid transport experiment was conducted in the river experiment center to find the characteristics and dispersion of the material. Modeling by the particle dispersion model was also executed to reproduce the suspended solid transport. The suspended solid was consisted of a mixture of silica and water using a mixing equipment, which was then introduced into a real-scale flume and measured with the laser-diffraction based particle size analyzer(LISST) to find the concentration of the material. The comparison between the measured suspended solid concentration using drone images and particle size analyzers, with the model showed a good match overall, which proved the applicability of the model. Along with finding the model applicability, the research showed the potential for suspended solid estimation in high flow situations with high rainfall.

Dynamic Glide Path using Retirement Target Date and Forecast Volatility (은퇴 시점과 예측 변동성을 고려한 동적 Glide Path)

  • Kim, Sun Woong
    • Journal of Convergence for Information Technology
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    • v.11 no.2
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    • pp.82-89
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    • 2021
  • The objective of this study is to propose a new Glide Path that dynamically adjusts the risky asset inclusion ratio of the Target Date Fund by simultaneously considering the market's forecast volatility as well as the time of investor retirement, and to compare the investment performance with the traditional Target Date Fund. Forecasts of market volatility utilize historical volatility, time series model GARCH volatility, and the volatility index VKOSPI. The investment performance of the new dynamic Glide Path, which considers stock market volatility has been shown to be excellent during the analysis period from 2003 to 2020. In all three volatility prediction models, Sharpe Ratio, an investment performance indicator, is improved with higher returns and lower risks than traditional static Glide Path, which considers only retirement date. The empirical results of this study present the potential for the utilization of the suggested Glide Path in the Target Date Fund management industry as well as retirees.

Investigation on the Main Features of the College Admission System in the Province of Quebec, Canada (캐나다 퀘벡주 대입제도의 특징 및 시사점 분석)

  • Choi, Young-Joon;Park, Seong-Man;Im, Hee-Joo
    • Journal of Convergence for Information Technology
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    • v.11 no.7
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    • pp.128-135
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    • 2021
  • Although the comprehensive school report system which was renamed from the admission officer system has been stably implemented in Korea, the fairness of the college admission system concerning the evaluation on the extra-curricular domain has still been a controversial issue. Thus, it has been the main topic in the educational policy to consider the desirable college admission system and investigate the problems of current changes in the admission system. On the other hand, the college admission system has not been the problem for students and people concerned in Canada. The completion of higher education is more important than the admission itself in Canada due to the standardization of higher education institutions such as universities in quality. In this regard, this study aims to examine the education and college admission system in Canada in general focusing on the cases of the province of Quebec.

Comparison and analysis of prediction performance of fine particulate matter(PM2.5) based on deep learning algorithm (딥러닝 알고리즘 기반의 초미세먼지(PM2.5) 예측 성능 비교 분석)

  • Kim, Younghee;Chang, Kwanjong
    • Journal of Convergence for Information Technology
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    • v.11 no.3
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    • pp.7-13
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    • 2021
  • This study develops an artificial intelligence prediction system for Fine particulate Matter(PM2.5) based on the deep learning algorithm GAN model. The experimental data are closely related to the changes in temperature, humidity, wind speed, and atmospheric pressure generated by the time series axis and the concentration of air pollutants such as SO2, CO, O3, NO2, and PM10. Due to the characteristics of the data, since the concentration at the current time is affected by the concentration at the previous time, a predictive model for recursive supervised learning was applied. For comparative analysis of the accuracy of the existing models, CNN and LSTM, the difference between observation value and prediction value was analyzed and visualized. As a result of performance analysis, it was confirmed that the proposed GAN improved to 15.8%, 10.9%, and 5.5% in the evaluation items RMSE, MAPE, and IOA compared to LSTM, respectively.

Distance error of monopulse radar in cross-eye jamming using terrain bounce (지형 바운스를 이용하는 크로스 아이 재밍의 모노펄스 레이다 거리 오차)

  • Lim, Joong-Soo;Chae, Gyoo-Soo
    • Journal of Convergence for Information Technology
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    • v.12 no.4
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    • pp.9-13
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    • 2022
  • In this paper, the tracking error of monopulse radar caused by cross-eye jamming using terrain bounce is analyzed. Cross-eye jamming is a method of generating an error in a radar tracking system by simultaneously transmitting two signals with different phases and amplitudes. When the monopulse radar receives the cross-eye jamming signal generated by the terrain bounce, a tracking error occurs in the elevation direction. In the presence of multipath, this signal is a combination of the direct target return and a return seemingly emanating from the target image beneath the terrain surface. Terrain bounce jamming has the advantage of using a single jammer, but the space affecting the jamming is limited by the terrain reflection angle and the degree of scattering of the terrain. This study can be usefully used to protect ships from low-altitude missiles or aircraft in the sea.