• Title/Summary/Keyword: Smart education

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A Study on Ocular Disease by Ages in Ulsan (울산지역의 연령별 안질환에 관한 연구)

  • Han, Sun-Hee;Kim, Bong-Hwan;Kim, Hak-Jun;Park, Jo-Eun;Baek, Jin-Hee;Seo, Jin-Yun;Chu, Sun-Jin;Park, Jun-Sung
    • Journal of Korean Ophthalmic Optics Society
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    • v.19 no.3
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    • pp.403-406
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    • 2014
  • Purpose: In this study, we studied ocular disease by age in Ulsan. Methods: We checked medical record of 300 patients who visited eye clinic in Ulsan. Results: The main ocular disease on the age of 10 was keratitis, that of 20 was dry eye syndrome & keratitis, that of 30 was chalazion & conjunctivitis, that of 40~50 was conjunctivitis, that of 60 was conjunctivitis & cataract. Conclusions: The main cause of ocular disease of 10~20's are unsuitable wear of contact lenses & long-time use of smart phone as well as computer. That of 30~50's are allergic conjunctivitis and chemical material reaction as well as other several factors. Especially, attack rate of conjunctivitis of 30~50's is higher than city because of industrial area (Ulsan). The main cause of ocular disease in 50~60's is a kind of senility. Therefore, based on the results of this study, it could be used the basic data of education on ocular disease prevention in Ulsan.

Performance Analysis of Adaptive Channel Estimation Scheme in V2V Environments (V2V 환경에서 적응적 채널 추정 기법에 대한 성능 분석)

  • Lee, Jihye;Moon, Sangmi;Kwon, Soonho;Chu, Myeonghun;Bae, Sara;Kim, Hanjong;Kim, Cheolsung;Kim, Daejin;Hwang, Intae
    • Journal of the Institute of Electronics and Information Engineers
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    • v.54 no.8
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    • pp.26-33
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    • 2017
  • Vehicle communication can facilitate efficient coordination among vehicles on the road and enable future vehicular applications such as vehicle safety enhancement, infotainment, or even autonomous driving. In the $3^{rd}$ Generation Partnership Project (3GPP), many studies focus on long term evolution (LTE)-based vehicle communication. Because vehicle speed is high enough to cause severe channel distortion in vehicle-to-vehicle (V2V) environments. We can utilize channel estimation methods to approach a reliable vehicle communication systems. Conventional channel estimation schemes can be categorized as least-squares (LS), decision-directed channel estimation (DDCE), spectral temporal averaging (STA), and smoothing methods. In this study, we propose a smart channel estimation scheme in LTE-based V2V environments. The channel estimation scheme, based on an LTE uplink system, uses a demodulation reference signal (DMRS) as the pilot symbol. Unlike conventional channel estimation schemes, we propose an adaptive smoothing channel estimation scheme (ASCE) using quadratic smoothing (QS) of the pilot symbols, which estimates a channel with greater accuracy and adaptively estimates channels in data symbols. In simulation results, the proposed ASCE scheme shows improved overall performance in terms of the normalized mean square error (NMSE) and bit error rate (BER) relative to conventional schemes.

A Design of Information Security Education training Databank System for Preventing Computer Security incident (침해사고 예방을 위한 정보보안 교육훈련 문제은행 시스템)

  • Mo, Eun-Su;Lee, Jae-Pil;Lee, Jae-Gwang;Lee, Jun-Hyeon;Lee, Jae-Kwang
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2015.05a
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    • pp.277-280
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    • 2015
  • Smishing, Phishing personal privacy caused by Incident accidents such as Phishing information security has become a hot topic. Such incidents have privacy in personal information management occurs due to a lack of user awareness. This paper is based on the existing structure of the XML Tag question bank used a different Key-Value Structure-based JSON. JSON is an advantage that does not depend on the language in the text-based interchange format. The proposed system is divided into information security sector High, Middle and Low grade. and Provides service to the user through the free space and the smart device and the PC to the constraints of time. The use of open source Apache Load Balancing technology for reliable service. It also handles the user's web page without any training sessions Require server verification result of the training(training server). The result is sent to the training server using jQuery Ajax. and The resulting data are stored in the database based on the user ID. Also to be used as a training statistical indicators. In this paper, we design a level training system to enhance the user's information security awareness.

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Monitoring system for packet analysis on Wi-Fi environment (Wi-Fi 환경에서 패킷 분석을 위한 모니터링 시스템)

  • Seo, Hee-Suk;Kim, Hee-Wan;Ahn, Woo-Young
    • Journal of the Korea Society of Computer and Information
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    • v.16 no.12
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    • pp.227-234
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    • 2011
  • Many technologies for wireless internet are increasing as more and more laptop computers, net books, smart phone and other terminals, which provide wireless network, are created. IEEE 802.11 is computer wireless network technology that used in small area, called wireless LAN or Wi-Fi. IEEE 802.11 is a set of standards for implementing wireless local area network (WLAN) computer communication in the 2.4, 3.6 and 5 GHz frequency bands. They are created and maintained by the IEEE LAN/MAN Standards Committee (IEEE 802). AP (Access Point) is installed at cafes and public places providing wireless environment. It is more convenient to use wireless internet, however, It can be seen easily around us and possible to communicate with AP. IEEE 802.11 has many vulnerability, such as packet manipulation and information disclosure, so we should pay more attention when using IEEE 802.11. Therefore this paper developing monitoring system which can find out AP and Stations that connect with it, and capturing AP's information to find out vulnerability. This paper suggests monitoring system which traffic analysis in wireless environment.

A Study of Co-Working Space Operation Strategy: Focused on Operation Elements Analysis by AHP Method (코워킹스페이스 운영전략 연구: AHP 기법을 통한 운영요소 분석을 중심으로)

  • Seo, Jong-Seok;Lee, Geun-Choon;Ock, Young-Seok
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
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    • v.10 no.4
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    • pp.157-165
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    • 2015
  • The purpose of this study is to suggest a successful operating strategy of co-working space. Therefore, the operating elements were identified through a literature research. And then, verified through site investigation and interview of operation managers. We found out that the high level operating elements are 'Co-working management', 'Membership management' and 'Supporting management' And the low level elements of Co-working management are 'Relationship facilitation', 'Networking event & Party' and 'Community & Communication', Membership management's are 'Service diversity & Price plan', 'Promotion & PR' and 'Alliance & Partnership', Supporting management's are 'Space & Interior', 'Facility & Device, Solution' and 'Mentoring & Education'. And the questionnaire was designed and conducted to Co-working space operators through the AHP method. As a result of the collected data analyzing, the highest priority was the operational element 'Community & Communication', and 'space and interior' is next, 'Service diversity & Price plan' is the third. The results were discussed with the relevant experts and it presents the following operating strategies. First, to create an environment suitable to voluntary coworking is the most important element. In particular, good management of 'Community & Communication' should be considered as a high priority operations strategy in a coworking space. Second, interior and space utilization helps in making the environment and atmosphere conducive to coworking. Office devices and facilities such as IT infra, printer, fax, scan, paper...etc are also important elements. But the reason why these necessary items are given a low priority is that these items don't need any special strategy. Third, in order to create a stable profit, 'Service diversity & Price plan' should be the characteristics of each coworking space because it will attract and secure enough customers. This study is valuable, it could be a great guideline for coworking space in an early stage to adopt operating model and strategy

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Effects that Faith Factor of Social Bonds Have on Cyber Bullying Phenomenon (사회유대의 신념요인이 사이버 불링 가해 현상에 미치는 영향)

  • Lee, Young-Sik
    • The Journal of the Korea Contents Association
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    • v.16 no.1
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    • pp.256-262
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    • 2016
  • A cyber crime has been evolving, as other crimes have. Beyond physical damages such as financial crimes in the cyber world, it has evolved into psychological forms like cyber-bullying. In today's crimes, measures that consider psychological effects of crimes are highly regarded in that fear of crime is considered as well as visible crimes. Accordingly, cyber bullying, which causes psychological damages, needs to be treated very importantly. Because the characteristics of cyber crime is caused by different circumstances from the real world, measures should be taken in different aspects. Rather than physical damages, which can be found in the conventional crimes, cyber crimes cause psychological damages, so the effect that has on inflicting should be specified. Especially, in the environment that virtual reality is ubiquitous through smart phones, it is very difficult to establish measures by considering all the causes of general cyber crimes. Therefore, this study estimated what affects cyber bullying by focusing on personalized faith factor among social bond theory, which can control cyber crimes. As a result, self-controling faith was verified to have a negative effect on cyber bullying, so faith is a very important factor in personalized environment. Thus, it is suggested that the characteristics of cyber space and education of humanism, which can affect individuals' faith should be emphasized.

Determination of Hot Air Drying Characteristics of Squash (Cucurbita spp.) Slices

  • Hong, Soon-jung;Lee, Dong Young;Park, Jeong Gil;Mo, Changyeun;Lee, Seung Hyun
    • Journal of Biosystems Engineering
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    • v.42 no.4
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    • pp.314-322
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    • 2017
  • Purpose: This study was conducted to investigate the hot air drying characteristics of squash slices depending on the drying conditions (input air velocity, input air temperature, and sample thickness). Methods: The developed drying system was equipped with a controllable air blower and electric finned heater, drying chamber, and ventilation fan. Squash (summer squash called Korean zucchini) samples were cut into slices of two different thicknesses (5 and 10 mm). These were then dried at two different input air temperatures (60 and $70^{\circ}C$) and air velocities (5 and 7 m/s). Six well-known drying models were tested to describe the experimental drying data. A non-linear regression analysis was applied to determine model constants and statistical indices such as the coefficient of determination ($R^2$), reduced chi-square (${\chi}^2$), and root mean square error (RMSE). In addition, the effective moisture diffusivity ($D_{eff}$) was estimated based on the curve of ln(MR) versus drying time. Results: The results clearly showed that drying time decreased with an increase in input air temperature. Slice thickness also affected the drying time. Air velocity had a greater influence on drying time at $70^{\circ}C$ than at $60^{\circ}C$ for both thicknesses. All drying models accurately described the drying curve of squash slices regardless of slice thickness and drying conditions; the Modified Henderson and Pabis model had the best performance with the highest R2 and the lowest RMSE values. The effective moisture diffusivity ($D_{eff}$) changes, obtained from Fick's diffusion method, were between $1.67{\times}10^{-10}$ and $7.01{\times}10^{-10}m^2/s$. The moisture diffusivity was increased with an increase in input air temperature, velocity, and thickness. Conclusions: The drying time of squash slices varied depending on input temperature, velocity, and thickness of slices. The further study is necessary to figure out optimal drying condition for squash slices with retaining its original quality.

CNN-based Shadow Detection Method using Height map in 3D Virtual City Model (3차원 가상도시 모델에서 높이맵을 이용한 CNN 기반의 그림자 탐지방법)

  • Yoon, Hee Jin;Kim, Ju Wan;Jang, In Sung;Lee, Byung-Dai;Kim, Nam-Gi
    • Journal of Internet Computing and Services
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    • v.20 no.6
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    • pp.55-63
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    • 2019
  • Recently, the use of real-world image data has been increasing to express realistic virtual environments in various application fields such as education, manufacturing, and construction. In particular, with increasing interest in digital twins like smart cities, realistic 3D urban models are being built using real-world images, such as aerial images. However, the captured aerial image includes shadows from the sun, and the 3D city model including the shadows has a problem of distorting and expressing information to the user. Many studies have been conducted to remove the shadow, but it is recognized as a challenging problem that is still difficult to solve. In this paper, we construct a virtual environment dataset including the height map of buildings using 3D spatial information provided by VWorld, and We propose a new shadow detection method using height map and deep learning. According to the experimental results, We can observed that the shadow detection error rate is reduced when using the height map.

A Study on the Direction of the Third Phase New Town Development in Seoul Metropolitan Area through expert survey method (전문가 설문조사를 통한 3기 신도시의 계획지표 및 개발방향설정 연구)

  • Yoon, Jeong Joong
    • Land and Housing Review
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    • v.10 no.3
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    • pp.43-55
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    • 2019
  • The purpose of this study is to derive indicators and development directions to be considered when planning new towns in the Seoul metropolitan area as new towns are planned to be built. To this end, the following implications were derived after analyzing the survey data of experts in each field using Frequency Analysis and Analysis of Variance(ANOVA) technique. First, the assessment results of the existing first and second phase new towns showed that there were many negative assessments of citizen participation and information sharing, smart technologies and services, social and cultural diversity and inclusion. Regarding the third phase new town, experts said that the most important indicators are accessibility and convenience of transportation, environmental comfort, quality and service of residence. In addition, experts cited the superiority of landscape/design, jobs/self-sufficiency and social/cultural diversity as important indicators. Second, after examining whether the perceptions and assessments of experts differ depending on individual characteristics such as gender, age, occupation, and professional field, the first and second phase new towns showed significant differences only in "gender", and the third phase new town had significant differences in "gender" and "professional field". Third, experts thought that changes in population structure, industry and jobs, quality of life and diversity, environment and climate change, and social and residential welfare should be considered important in the planning of third phase new town. In addition, experts considered expanding park and self-sufficient land as important in the land use plan, and ranked eco-city as a desirable type of the city, and public transportation facilities, park areas and education facilities as the most important living infrastructure.

FingerPrint building method using Splite-tree based on Indoor Environment (실내 환경에서 WLAN 기반의 Splite-tree를 이용한 가상의 핑거 프린트 구축 기법)

  • Shin, Soong-Sun;Kim, Gyoung-Bae;Bae, Hae-Young
    • Journal of the Korea Society of Computer and Information
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    • v.17 no.6
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    • pp.173-182
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    • 2012
  • A recent advance in smart phones is increasing utilization of location information. Existing positioning system was using GPS location for positioning. However, the GPS cannot be used indoors, if GPS location has an incorrectly problem. In order to solve indoor positioning problems of indoor location-based positioning techniques have been investigated. There are a variety of techniques based on indoor positioning techniques like as RFID, UWB, WLAN, etc. But WLAN location positioning techniques take advantage the bond in real life. WLAN indoor positioning techniques have a two kind of method that is centroid and fingerprint method. Among them, the fingerprint technique is commonly used because of the high accuracy. In order to use fingerprinting techniques make a WLAN signal map building that is need to lot of resource. In this paper, we try to solve this problem in an Indoor environment for WLAN-based fingerprint of a virtual building technique, which is proposed. Proposed technique is classified Cell environment in existed Indoor environment, all of fingerprint points are shown virtual grid map in each Cell. Its method can make fingerprint grid map very quickly using estimate virtual signal value. Also built signal value can take different value depending of the real estimate value. To solve this problem using a calibration technique for the Splite-tree is proposed. Through calibration technique that improves the accuracy for short period of time. It also is improved overall accuracy using predicted value of around position in cell.