• 중소기업융합학회논문지
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• 제6권3호
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• pp.37-41
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• 2016

본 논문에서는 무선통신(Wi-Fi)을 이용하여 화재 발생을 다수의 사람들에게 알릴 수 있는 시스템을 제안한다. 이 시스템은 아두이노를 기반으로 연기 불꽃 온도센서로 화재 발생을 감지하고, 감지된 데이터를 무선통신을 이용해 서버로 전송한다. 서버에 있는 데이터를 이용하여 단말기와 화재가 발생한 감지기를 통해 화재 상황을 받는다. 그리고 화재 위치 데이터가 포함되어 신고가 가능하다. 이 시스템에서 단말기 어플리케이션의 푸시 기능으로 감지기로부터 화재 알림을 받아 볼 수 있었고, 감지기 연동 및 SMS 신고를 확인하였다. 이 결과를 바탕으로 인터넷을 이용해 화재와 같은 긴급한 정보를 단말기로 사람들에게 전달할 수 있는 시스템이 실제로 활용 가능함을 확인할 수 있었다.

• 한국융합학회논문지
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• 제9권3호
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• pp.45-51
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• 2018

이제는 1969년 컴퓨터 정보화 및 자동화 생산의 3차 산업혁명에 이어 인공지능(AI)을 통한 4차 산업혁명이 일어나고 있다. 이로 인하여 세계 경제포럼의 발표에 따르면 2020년까지 510만개의 일자리가 사라질 것으로 전망하고 있다. 그중에 회계사와 세무사 또한 포함되어 있다. 회계사는 경영컨설팅, 회계감사, IPO경영자문 등의 업무를 수행하며, 세무사는 세법신고, 세법자문 등의 업무를 수행하는 전문직업이다. 따라서 이 연구에서는 4차 산업혁명의 시대에 적합한 회계 및 세무 정보를 블록체인화하여 세무와 회계 업무의 효율성을 높여 투명하고 안전한 세무와 회계 정보 구축 방안을 제안한다.

• 대한가정학회지
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• 제40권9호
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• pp.79-95
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• 2002

In this paper the consumer protection regulations of 16 wide area self-governments in Korea are studied. Status of consumer protection policy committees and their general policies for consumer protection of these wide area self-governments are also investigated. The data of consumer protection regulation were collected from the internet web-site of each self-government and the status of consumer protection policy committee and the general policy for consumer protection were obtained by requesting each self-government to report administration information during May through October in 200l. 13 of 16 wide area self-governments except Daegu, Inchon, and Jejudo have own consumer protection regulations. Major parts of these regulations conform the standard regulation of ministry of Government Administration and Home Affairs. Many of the consumer protection policy committees reported that they do not have meetings constantly. Moreover since the price of goods and services is the typical subject of meetings, the committees do not seem to properly play the role of a consumer protection policy authority. Contents of the general policy for consumer protection of many self-governments are simple description of detailed practicing plans according to the general consumer protection policy of the national government. By criticizing the problems aroused during the study of consumer protection policy of self-governments, suggestions are given which will help for the development of consumer policy of wide area self-governments.

• 정보보호학회논문지
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• 제30권3호
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• pp.357-367
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• 2020

2018년 시만텍 보고서에 따르면, 모바일 환경에서 변종 악성 앱은 전년도 대비 54% 증가하였고, 매일 24,000개의 악성 앱이 차단되고 있다. 최근 연구에서는 기존 악성 앱 분석 기술의 사용 한계를 파악하고, 신·변종 악성 앱을 탐지하기 위하여 기계학습을 통한 악성 앱 탐지 기법이 연구되고 있다. 하지만, 기계학습을 적용하는 경우에도 악성 앱의 특성을 적절하게 선택하여 학습하지 못하면 올바른 결과를 보일 수 없다. 본 연구에서는 신·변종 악성 앱의 특성을 찾아낼 수 있도록 개선된 특성 선택 방법을 적용하여 학습 모델의 정확도를 최고 98%까지 확인할 수 있었다. 향후 연구를 통하여 정밀도, 재현율 등 특정 지표의 향상을 목표로 할 수 있다.

• 한국항해항만학회:학술대회논문집
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• 한국항해항만학회 2006년도 International Symposium on GPS/GNSS Vol.2
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• pp.117-122
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• 2006

Modernized GNSS such as new GPS signals updated GLONASS and coming Galileo promises higher quality and higher reliability for users. Powerful technologies such as Internet, ubiquitous network technology and sensor network has been used to promote a safe and more secure lifestyle. This report describes experimental trials to combine these technologies namely GPS and Sensor Network into a high-performance system. GPS is used to enlarge the communication range, resolving the service area limitations, as a wider service area is required at shore areas compared to urban area. GPS position datum is also used as primary network routing information to get practical Sensor Network. Another application is the under water Sensor Network. Accurate GPS position and time are used to establish stable and high reliability underwater acoustic Sensor Network. This paper describes the background of the project 'Harbor area Marine Ubiquitous Sensor Network', preliminary consideration and testing. Radio and acoustic communication is the main focus of this preliminary experiment.

• Asia pacific journal of information systems
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• 제25권1호
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• pp.143-161
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• 2015

The South Asian Association for Regional Cooperation (SAARC) nations are a potpourri of diverse religions, races and cultures with rich natural and cultural heritage but yet to tap the full potential of tourism. An investigation into the glorifying heritage of these eight SAARC nations pinpoints towards their rich food and culinary heritage that is yet to be explored to carve them as food destinations that would definitely help ameliorating tourism too. The Global Report on Food Tourism of the United Nations World Tourism Organization (UNWTO) reveals results from a survey on food tourism marketing promotion, from which internet marketing tools, such as websites have been effectively utilized to promote food tourism in a particular destination. (UNWTO, 2012). Sensing the importance of the websites in the promotion of food tourism for any destination, the present study aims at the comparative content analysis of the official tourism websites of SAARC nations to evaluate their performance from the perspective of promotion of culinary heritage on world -wide web. The modified Balanced ScoreCard (BSC) approach is incorporated into the evaluation by taking into consideration four perspectives: technical, user friendliness and site attractiveness, tourism effectiveness and food tourism effectiveness. A set of 88 critical success factors representing these four perspectives is then used to examine the websites. The study reflects on the relative strength and weakness of the tourism websites of SAARC nations in promoting food tourism and as well help suggesting the remedial measures catalyzing the food tourism promotion through websites.

• The Journal of Asian Finance, Economics and Business
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• 제6권1호
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• pp.149-158
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• 2019

Due to the rapid development of IT (information technology) and internet, products become smart and able to collect, process and produce information and can think of themselves to provide better service to consumers. However, research on the characteristics of smart product is still sparse. In this paper, we report the systemic development of a scale to measure the perceived product smartness associated with smart product. To develop product smartness scale, this study follows systemic scale development processes of item generation, item reduction, scale validation, reliability and validity test consequently. And, after acquiring a large amount of qualitative interview data asking the definition of smart product, we add a unique process to reduce the initial items using both a text mining method using 'r' s/w and traditional reliability and validity tests including factor analysis. Based on an initial qualitative inquiry and subsequent quantitative survey, an eight-factor scale of product smartness is developed. The eight factors are multi-functionality, human-like touch, ability to cooperate, autonomy, situatedness, network connectivity, integrity, and learning capability consequently. Results from Korean samples support the proposed measures of product smartness in terms of reliability, validity, and dimensionality. Implications and directions for further study are discussed. The developed scale offers important theoretical and pragmatic implications for researchers and practitioners.

• 전자통신동향분석
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• 제34권6호
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• pp.133-144
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• 2019

Although deep learning-based visual image recognition technology has evolved rapidly, most of the commonly used methods focus solely on recognition accuracy. However, the demand for low latency and low power consuming image recognition with an acceptable accuracy is rising for practical applications in edge devices. For example, most Internet of Things (IoT) devices have a low computing power requiring more pragmatic use of these technologies; in addition, drones or smartphones have limited battery capacity again requiring practical applications that take this into consideration. Furthermore, some people do not prefer that central servers process their private images, as is required by high performance serverbased recognition technologies. To address these demands, the object and scene recognition technologies for mobile/embedded devices that enable optimized neural networks to operate in mobile and embedded environments are gaining attention. In this report, we briefly summarize the recent trends and issues of object and scene recognition technologies for mobile and embedded devices.

• International journal of advanced smart convergence
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• 제8권1호
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• pp.176-183
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• 2019

Rhyme of Truce is an educational program that helps you develop the ability to cope with cyber violence rightly. we aim to produce educational contents that will last a long time in the memory of specially children. By combining the room escape game and Leap motion / VR, the program reflects the user's motion and action in real time. The Keyboard Worrier comes into contact with the user and causes violence, and the user who is attacked by the monster see several negative messages written in red and hears abuses sound. Users enter the virtual space decorated as the cyber world. They can experience cyber-violence indirectly but vividly, and if language violence, which has been overlooked and recognized only as "letters", is executed offline, it will directly wonder if cyber-violence should also be regarded as a means of violence. Users have the opportunity to cope with violence autonomously. When a user is attacked by an in-game monster, there are two ways to choose from. First, fighting against with a keyboard (which is a symbol of language violence) just like a monster. Second, report the abuser to cyber bureau police. Both methods make them to escape the room, but when they get out of the room and return to the home and read the message through the monitor, users can recognize which action was right for.

• ETRI Journal
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• 제43권3호
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• pp.389-399
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• 2021

In this paper, we propose one-bit feedback-based distributed beamforming (DBF) techniques for simultaneous wireless information and power transfer in interference channels where the information transfer and power transfer networks coexist in the same frequency spectrum band. In a power transfer network, multiple distributed energy transmission nodes transmit their energy signals to a single energy receiving node capable of harvesting wireless radio frequency energy. Here, by considering the Internet-of-Things sensor network, the energy harvesting/information decoding receivers (ERx/IRx) can report their status (which may include the received signal strength, interference, and channel state information) through one-bit feedback channels. To maximize the amount of energy transferred to the ERx and simultaneously minimize the interference to the IRx, we developed a DBF technique based on one-bit feedback from the ERx/IRx without sharing the information among distributed transmit nodes. Finally, the proposed DBF algorithm in the interference channel is verified through the simulations and also implemented in real time by using GNU radio and universal software radio peripheral.