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A Study on Quality Evaluation Model of Mobile Device Management for BYOD (BYOD 환경의 MDM 보안솔루션의 품질평가모델에 관한 연구)

  • Rha, HyeonDae;Kang, SuKyoung;Kim, ChangJae;Lee, NamYong
    • The Journal of Korean Association of Computer Education
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    • v.17 no.6
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    • pp.93-102
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    • 2014
  • A mobile office environment using mobile devices, such as tablet PC, mobile phone is gradually increased in enterprises, banking and public institutions etc which is no limitation on places. It occurs advanced and persist security threats that are required effective security management policy and technical solution to be secure. For BYOD (Bring Your Own Device) environment, technical security management solutions of network control based, MDM (Mobile Device Management), MAM (Mobile Application Management), MCM (Mobile Contents Management) were released, evolved and mixed used. In perspective of integrated security management solution, mobile security product should be selected to consider user experience and environment and correct quality evaluation model of product is needed which is provided standards and guidance on the selection criteria when it was introduced. In this paper, the most widely used MDM solution is selected to take a look at its features and it was reviewed the product attributes with related international standard ISO/IEC25010 software quality attributes. And then it was derived evaluation elements and calculated the related metrics based on the quality analysis model. For the verification of quality evaluation model, security checks list and testing procedures were established; it applied metrics and analyzed the testing result through scenario based case study.

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Authentication and Group Key Management Techniques for Secure Communication in IoT (IoT 환경에서 안전한 통신을 위한 인증 및 그룹 키 관리 기법)

  • Min, So-Yeon;Lee, Jae-Seung
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.20 no.12
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    • pp.76-82
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    • 2019
  • The development of Internet technology and the deployment of smart devices provide a convenient environment for people, and this is becoming common with the technology called the Internet of Things (IoT). But the development of, and demand for, IoT technology is causing various problems, such as personal information leaks due to the attacks of hackers who exploit it. A number of devices are connected to a network, and network attacks that have been exploited in the existing PC environment are occurring in the IoT environment. When it comes to IP cameras, security incidents (such as distributed denial of service [DDoS] attacks, hacking someone's personal information, and monitoring without consent) are occurring. However, it is difficult to install and implement existing security solutions because memory space and power are limited owing to the characteristics of small devices in the IoT environment. Therefore, this paper proposes a security protocol that can look at and prevent IoT security threats. A security assessment verified that the proposed protocol is able to respond to various security threats that could arise in a network. Therefore, it is expected that efficient operation of this protocol will be possible if it is applied to the IoT environment.

The Relationship of Nearly White Background Colors and Readability of Tablet PC (Tablet PC에서 Nearly White 배경색과 가독성의 관계)

  • Yun, Bo-Ram;Park, YungKyung
    • Science of Emotion and Sensibility
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    • v.17 no.2
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    • pp.35-44
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    • 2014
  • The purpose of this paper is to investigate the readability of Nearly White background color in display environment. To perform the experiment, warmup experiment was carried out to for cognitive of whiteness using a Tablet PC. The experiment environment was by a indoor window seat under a mixture of fluorescent light and sunlight. The result of previous test was that the most whiteness perception was a color white a medium wavelength and followed by the short wavelength. The main experiment was to find readability, color combination and visual strains using 4 nearly whites background colors (Reddish, Greenish, Blueish, Yellowish) and one white background color, also text color is limited on black. As a result, readability and color combination had the highest score against a Greenish white background. Visual strain is also the lowest against a Greenish background. On the contrary, readability and color combination preference has the lowest score against the Reddish background. Visual strain is also the highest against a Reddish background. We propose the background color, which improves readability and reduces visual strain in visual display terminals environment through the research results.

Environmental Assessment of Chemically Strengthened Glass for Touch Screen Panel by Material Life Cycle Assessment (물질전과정평가를 이용한 터치스크린패널용 화학강화유리에 대한 환경성 평가)

  • Lee, Na-Ri;Lee, Soo-Sun;Kim, Kyeong-Il;Hong, Tae-Whan
    • Clean Technology
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    • v.18 no.3
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    • pp.301-306
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    • 2012
  • Rapidly growing mobile machines such as tablet PC and smart phone are equipped with touch screen panel using a sturdy material for products surface protection. Therefore, surge of chemically strengthened glass was increased and the amount of waste matter is proportional to demand. The purpose of this study is environmental impact assessment on touch screen panel of chemically strengthened glass by material life cycle assessment (MLCA). We used CES of Granta, SimaPro and Gabi software for MLCA. Chemically strengthened glass (2.7, 5.7 and 10.3 inch) was calculated to environmental impact assessment by Granta software under two cases. One case is Landfill and the other case is Reuse. As a result, in case of reuse, energy values of 2.7, 5.7 and 10.3 inches were reduced by an average of 51.4%, $CO_2$ values were reduced by an average of 46.6% than Landfill case, respectively. We assessed impact categories of 11 types using SimaPro software. As a result, the contents of fossil fuels, inorganics and climate change have a huge impact than the other impact categories. And the main cause of environmental impact is antimony and hydrogen fluoride in Gabi results.

Development of STS Teaching-Learning Materials about Chemical Batteries for Specialized Vocational High School Students (특성화고 화학공업과 학생을 위한 화학전지 STS 교수-학습자료 개발)

  • Shin, Seo-Woo;Yoo, Hyun-Seok
    • 대한공업교육학회지
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    • v.43 no.2
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    • pp.24-42
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    • 2018
  • Chemical batteries are indispensable materials, and technologies related to chemical batteries are important as they are linked to various social problems; further, they directly affect our lives. Thus, the topic of chemical batteries is suitable for industrial education. However, there has not been sufficient educational use of chemical batteries in Korea, and existing research materials do not correspond with the present curriculum. The STS teaching-learning materials about chemical batteries in this study were developed by the curriculum development model (preparation, development, improvement) for chemical engineering students in specialized vocational high schools. In the preparation stage, the study topic and the learning objective were selected by analyzing previous research about the STS and chemical battery. At the development stage, STS class plan and teaching-learning materials were developed. In the improvement stage, The STS curriculum plan and the teaching-learning materials were verified by a group of specialists and a survey regarding student satisfaction was conducted. As a result of conducting the class with the teaching-learning materials developed in this study, a positive effect in terms of students' perceptions, understanding and interest.

Technologies trend for Wireless LAN (무선 LAN 통신망의 기술 동향)

  • Gang, Yeong-Jin;Kim, Sung-Nam;Kang, Sin-Ill;Lee, Yeong-Sil;Lee, Hoon-Jae
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2011.10a
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    • pp.255-258
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    • 2011
  • Wi-Fi is a rapidly spreading communications network with Smart phone's publication, the technology has become Ubiquitous-based core network which is connected to personal computers, laptops, and tablet PC. Wi-Fi can send currently a variety of data standard due to developed wireless LAN communications network. One of Wi-Fi standard protocols, which is IEEE 802.11n, use 2.4GHz and 5GHz band. 2.4GHz band is used for 802.11b/g protocol because wavelength is long, diffraction and receiving distance is enough to connect other device. 5GHz band has more available channels to use than 2.4GHz band, so there is no frequency interference of other wireless device such as Bluetooth, RFID. Moreover, there is low interference between channels due to small users in each bandwidth level. In the thesis, we are going to analyze 802.11a/b/g protocol which has used since the beginning of Wi-Fi protocol and 802.11n protocol which is used lately. Furthermore, we look into development and direction for standardization of the next generation wireless LANs which are 802.11ac and 802.11ad. In addition, we will consider for the security, vulnerabilities and its countermeasure in Wireless LAN.

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Analyses on Attitudes to Smart Education-related Variables Based on Parents' Age, Levels of Education and Income (학부모의 연령, 학력 및 소득수준에 따른 스마트교육 관련변인 태도분석)

  • Kim, Jae-Hoon;Park, Young-Ran;Lim, Keol
    • Journal of the Korea Society of Computer and Information
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    • v.18 no.11
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    • pp.255-264
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    • 2013
  • This research was conducted to analyze parents' attitudes on the issues related to the Smart Education Initiative Korea. The questions included the usefulness of major digital tools for educational purposes, knowledge on the Smart Education, necessity for better educational methods, and Bring Your Own Devices (BYOD) policy. A total of 432 response cases from the parents were analyzed considering the parents' age, academic level, and income. As a result, parents regarded desktop PCs as more effective tools for learning when compared to tablet PCs. Meanwhile, mobile devices and SNSs were hardly considered as instructional tools. Second, familarity and understanding of the Smart Education were proportional to household income and mothers' education levels. Third, parents needed for the change in educational methods and agreed with the importance of students' self-regulated learning, collaboration, inquiry ability and creativity. Fourth, regarding BYOD, parents were willing to buy devices with a reasonable price. In conclusion, it is required to reflect the results of the study when implementing the Smart Education throughout the nation.

Get It Closer: Effect of the Approach-Avoidance Experience on Attitude through a Touchscreen Device (터치스크린을 통한 접근-회피 경험이 태도에 미치는 영향)

  • Jung, Yujin;Kang, Hyunmin;Yun, Munseon;Han, Kwanghee
    • Science of Emotion and Sensibility
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    • v.22 no.2
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    • pp.17-28
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    • 2019
  • The touchscreen device is now commonly found in the form of mobile phones, tablet PCs, and other devices. Varied physical and visual experiences can be experienced through touchscreens. This study intended to explore how the physical and visual experiences provided by the touchscreen would affect people through their existing associations of behavior-attitude. Previous studies have found that certain behaviors affect attitudes. In particular, the approach-avoidance behavior has been noted to influence both social and personal attitudes. It was thus deemed necessary to ascertain the approach-avoidance effect exerted by touchscreens on the attitudes of users as the technology is widely used today. Experiment 1 provided an approach-avoidance experience via a touchscreen and demonstrated that touchscreen-based approach-avoidance dragging behavior on the touchscreen can affect a user's preference and purchase intent. It was found that a product that had been approached showed both higher preference and higher purchase intent than a product that had been avoided. Experiment 2 investigated whether a similar effect would occur when only the visual experience of approach-avoidance was provided. The outcome proved that products that had been visually approached had higher scores than products that had been avoided, both in terms of preference and purchase intent. The movement of the arm on the touchscreen (Experiment 1) and the visual perception of the approach-avoidance experience (Experiment 2) were both shown to influence participants' attitudes toward products. The results of this study suggest that the behavior and perception of users may be an important factor in designing touchscreen interfaces for online shopping.

Effectiveness Evaluation of Web-Based Cognitive Training Program for the Elderly Registered in the Rural Dementia Center (농촌 치매안심센터에 등록된 노인을 위한 웹기반 인지훈련 프로그램의 효과성 평가)

  • Ahn, Eun Jung;Kim, Hyunli
    • Journal of Convergence for Information Technology
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    • v.11 no.5
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    • pp.38-49
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    • 2021
  • This study is single-group pretest-posttest design study to examine the effects of web-based cognitive training program using tablet on cognition and depression in the elderly with high risk of dementia or mild dementia living in a rural area, enrolled in dementia center. Intervention was provided to the 18 participants once a week for 10 weeks within 1 hour. Data was analyzed with SPSS 24.0 and interview data was categorized. The study result proves that after intervention, the participants' cognitive score increased significantly(Z=-3.35, p=.001) and the depression scores were significantly decreased(Z=-3.13, p=.002). Also, interview shows positive effect of the intervention on cognition and depression. It is necessary to improve access environment for smart devices so as not to be restricted by time and place, and to develop and apply various types of web-based programs for each cognitive level. Then, the intervention could be used as a cognitive training program incorporating information and communication technology for the prevention and management of dementia in rural areas.

Study of Improved CNN Algorithm for Object Classification Machine Learning of Simple High Resolution Image (고해상도 단순 이미지의 객체 분류 학습모델 구현을 위한 개선된 CNN 알고리즘 연구)

  • Hyeopgeon Lee;Young-Woon Kim
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.16 no.1
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    • pp.41-49
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    • 2023
  • A convolutional neural network (CNN) is a representative algorithm for implementing artificial neural networks. CNNs have improved on the issues of rapid increase in calculation amount and low object classification rates, which are associated with a conventional multi-layered fully-connected neural network (FNN). However, because of the rapid development of IT devices, the maximum resolution of images captured by current smartphone and tablet cameras has reached 108 million pixels (MP). Specifically, a traditional CNN algorithm requires a significant cost and time to learn and process simple, high-resolution images. Therefore, this study proposes an improved CNN algorithm for implementing an object classification learning model for simple, high-resolution images. The proposed method alters the adjacency matrix value of the pooling layer's max pooling operation for the CNN algorithm to reduce the high-resolution image learning model's creation time. This study implemented a learning model capable of processing 4, 8, and 12 MP high-resolution images for each altered matrix value. The performance evaluation result showed that the creation time of the learning model implemented with the proposed algorithm decreased by 36.26% for 12 MP images. Compared to the conventional model, the proposed learning model's object recognition accuracy and loss rate were less than 1%, which is within the acceptable error range. Practical verification is necessary through future studies by implementing a learning model with more varied image types and a larger amount of image data than those used in this study.