• Title/Summary/Keyword: Smart IT

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Improvement of PWM Driving Control Characteristics for Low Power LED Security Light (저전력형 LED 보안등의 PWM형 구동제어 특성 개선)

  • Park, Hyung-Jun;Kim, Nag-Cheol;Kim, In-Su
    • Journal of IKEEE
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    • v.21 no.4
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    • pp.368-374
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    • 2017
  • In this Paper, we developed a low power type LED security light using LED lighting that substitutes a 220[V] commercial power source for a solar cell module instead of a halogen or a sodium lamp. in addition, a PWM type drive control circuit is designed to minimize the heat generation problem and the drive current of the LED drive controller. in developed system, The light efficiency measurement value is 93.6[lm/W], and a high precision temperature sensor is used inside the controller to control the heat generation of the LED lamp. In order to eliminate the high heat generated from the LED lamp, it is designed to disperse quickly into the atmosphere through the metal insertion type heat sink. The heat control range of LED lighting was $50-55[^{\circ}C]$. The luminous flux and the lighting speed of the LED security lamp were 0.5[s], and the beam diffusion angle of the LED lamp was about $110[^{\circ}C]$ by the light distribution curve based on the height of 6[m].

Pin Pull Characteristics of Pin Lead with Variation of Mechanical Properties of Pin Lead in PGA (Pin Grid Array) Package (PGA (Pin Grid Array) 패키지의 Lead Pin의 기계적 특성에 따른 Pin Pull 거동 특성 해석)

  • Cho, Seung-Hyun;Choi, Jin-Won;Park, Gyun-Myoung
    • Journal of the Microelectronics and Packaging Society
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    • v.17 no.1
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    • pp.9-17
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    • 2010
  • In this study, von Mises stress and total strain energy density characteristics of lead pin in PGA (Pin Grid Array) packages have been calculated by using the FEM (Finite Element Method). FEM computation is carried out with various heat treatment conditions of lead pin material under $20^{\circ}$ bending and 50 mm tension condition. Results show that von Mises stress locally concentrated on lead pin corners and interface between lead pin head and solder. von Mises stress and total strain energy density decrease as heat treatment temperature of lead pin increases. Also, round shaped corner of lead pin decreases both von Mises stress and total strain energy density on interface between lead pin head and solder. This means that PGA package reliability can be improved by changing the mechanical property of lead pin through heat treatment. This has been known that solder fatigue life decreases as total strain energy density of solder increases. Therefore, it is recommended that both optimized lead pin shape and optimized material property with high lead pin heat treatment temperature determine better PGA package reliability.

Comparison of the Effects of Elementary School Students' Experience in Invention Education on Invention Attitudes (초등학생의 발명교육 경험이 발명태도에 미치는 영향 비교)

  • Wang, Yoo-Jin
    • 대한공업교육학회지
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    • v.39 no.1
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    • pp.247-261
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    • 2014
  • Education about invention in elementary schools has thus far be conducted mostly through special activities and talented activities rather than through normal curricula. However, with the implementation of the 2007 amended curricula, invention education was reflected as a normal subject unit in the practical subject (technology and home economics) curricula, thereby laying groundwork for invention education being able to be provided through normal subject classes. Thus, at the time when invention education has been reflected as a normal subject unit, it is meaningful to research the effects of elementary school students' experience in invention education on their invention attitudes. This study sought to research the effects of elementary school students' experience or non-experience in invention education on their invention attitudes, targeting those in regional talent private schools who did not take invention talent classes, those who received invention education, and those who did not receive invention education at all. The conclusion of this study is outlined as follows. First, students' experience in invention education proved to be positive in boosting their invention attitude, and continued invention education experience like with students in regional talent invention schools significantly boosted their invention attitudes. Second, considering that students' actual experience in invention education had positive effects on their invention attitudes, the reflection of invention education in the amended curricula was found to be very desirable in improving elementary students' attitudes about invention. Third, according to gender, male students' invention attitude level was found to be higher than that of female students, suggesting that male students more worked on computers, electronic (smart) devices and machines in daily life, leading them to further develop invention attitudes.

An Enhanced System of Group Key Management Based on MIPUF in IoT (IoT 환경의 MIPUF 기반 그룹키 관리 시스템 개선)

  • Tak, Geum Ji;Jeong, Ik Rae;Byun, Jin Wook
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.29 no.6
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    • pp.1243-1257
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    • 2019
  • With the emergence of the IoT environment, various smart devices provide consumers with the convenience and various services. However, as security threats such as invasion of privacy have been reported, the importance of security issues in the IoT environment has emerged, and in particular, the security problem of key management has been discussed, and the PUF has been discussed as a countermeasure. In relation to the key management problem, a protocol using MIPUF has been proposed for the security problem of the group key management system. The system can be applied to lightweight IoT environments and the safety of the PUF ensures the safety of the entire system. However, in some processes, it shows vulnerabilities in terms of safety and efficiency of operation. This paper improves the existing protocol by adding authentication for members, ensuring data independence, reducing unnecessary operations, and increasing the efficiency of database searches. Safety analysis is performed for a specific attack and efficiency analysis results are presented by comparing the computational quantities. Through this, this paper shows that the reliability of data can be improved and our proposed method is lighter than existing protocol.

Identification of Voice for Listeners who Feel Favor Using Voice Analysis (음성 분석을 이용한 청자가 호감을 느끼는 목소리에 대한 규명)

  • Choi, Ji Hyun;Cho, Dong Uk;Jeong, Yeon Man
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.41 no.1
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    • pp.122-131
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    • 2016
  • In the smart societies, such as the current unlike in the past, the voice that listeners will feel favor is changing through the development of ICT technologies and infrastructure. In other words, in the past, loud, intensive and fast voice is a favorite but now a new social and cultural situation that is changing them with ICT technologies. Now, this becomes one of the important things that we clarify 'Is it a voice that feels a favor?'. For this, in this paper, we identified what voice that listeners feel favor by applying ICT technologies. Studies were carried out to proceed largely divided into two categories. Firstly, as the quantified data, we extracted the impact on favorable feeling of listeners which related with emotional speech by empirical analysis work. To do this, we performed the experiment for the public. Secondly, we identified what kind of voice which listeners feel a good impression. For this, we identified voice characteristics that there are people who are influential in the real society. Also, we extracted both the voice characteristics of each influential people and common voice characteristics. In addition, we want to overcome the problems of qualitative methods that have originally limitations in objective respects which is significant to the voice analysis. For this, we performed the experiments of the voice analysis by numerical and visual approaches.

Outside Temperature Prediction Based on Artificial Neural Network for Estimating the Heating Load in Greenhouse (인공신경망 기반 온실 외부 온도 예측을 통한 난방부하 추정)

  • Kim, Sang Yeob;Park, Kyoung Sub;Ryu, Keun Ho
    • KIPS Transactions on Software and Data Engineering
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    • v.7 no.4
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    • pp.129-134
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    • 2018
  • Recently, the artificial neural network (ANN) model is a promising technique in the prediction, numerical control, robot control and pattern recognition. We predicted the outside temperature of greenhouse using ANN and utilized the model in greenhouse control. The performance of ANN model was evaluated and compared with multiple regression model(MRM) and support vector machine (SVM) model. The 10-fold cross validation was used as the evaluation method. In order to improve the prediction performance, the data reduction was performed by correlation analysis and new factor were extracted from measured data to improve the reliability of training data. The backpropagation algorithm was used for constructing ANN, multiple regression model was constructed by M5 method. And SVM model was constructed by epsilon-SVM method. As the result showed that the RMSE (Root Mean Squared Error) value of ANN, MRM and SVM were 0.9256, 1.8503 and 7.5521 respectively. In addition, by applying the prediction model to greenhouse heating load calculation, it can increase the income by reducing the energy cost in the greenhouse. The heating load of the experimented greenhouse was 3326.4kcal/h and the fuel consumption was estimated to be 453.8L as the total heating time is $10000^{\circ}C/h$. Therefore, data mining technology of ANN can be applied to various agricultural fields such as precise greenhouse control, cultivation techniques, and harvest prediction, thereby contributing to the development of smart agriculture.

A Study on the Influencing Factors of Online Word-of-Mouth Adoption in the Mobile Applications Market (모바일 애플리케이션 마켓에서 온라인 구전 수용에 영향을 미치는 요인에 관한 연구)

  • Ha, Na-Yeun;Kim, Kyung-Kyu;Lee, Ho
    • Journal of Information Management
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    • v.43 no.1
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    • pp.109-134
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    • 2012
  • This study, focusing on process of online Word-of-Mouth(oWOM) adoption in applications market which is a major issue of recent mobile industry, tried to empirically analyze how main characteristics of oWOM affect trust and process of oWOM adoption. To do this, based on understanding about applications market and precedent studies on online communication and Elaboration Likelihood Model(ELM), I developed the research model and proposed seven hypotheses. The subjects were smart phone users who ever used review in mobile applications market. The study method was questionnaire survey. As a result, trust in review was suggested as prerequisite for consumers to accept on-line review in mobile applications market. And it was empirically proved that for the customers to feel trust, these are necessary - positive assessment on argument quality, vividness of delivered explanation, and neutrality of message. The theoretical implications of this study are that based on studies on oWOM, factors affecting trust in review were explored in the environment of mobile applications market with less judgement clues for decision making compared to other on-line media and then, these factors were conceptualized. From the practical view, this study suggested implication on what attributes companies or developers can strategically utilize while investigating prerequisites of oWOM adoption.

A Study on the Application method of Digital Media in Commercial Space - Using Persona-based Scenario Approach - (상업공간 디지털미디어 적용방안에 관한 연구 - 페르소나 기반 사용자 시나리오 기법으로 -)

  • An, Se-Yun;Kim, So-Yeon;Cao, Wen-jia
    • Korean Institute of Interior Design Journal
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    • v.26 no.1
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    • pp.33-42
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    • 2017
  • Interior design especially the design developments for commercial spaces should ensure the economy of spaces. This is the marketing for space. It is necessary to understand the design elements of commercial space for the efficient using of digital media of space marketing. In this research decided to design application schemes for shopping mall by searching fashion shopping behaviors of users with persona-base scenario approach. Collected the information of users behavior base on case analysis of advance research to make personas. And develop scenario base personas for knowing the needs of users. And then made 4 schemes as the solution. Scheme 1. Customers can get the information and communication with the staff through with media screen in one room of shopping mall. The data of customers can be recorded for providing information or product recommendation personality. Forecast to preferred by group trip or customers that don't like walking around in shopping mall. Scheme 2. Install a media screen at entrance of a store in shopping mall and show special effect to raise customers' attention who walk through from the front of the store. Through with this customers will stay for long time and raise curiosity to get in the store. And the media screen also provide information of store and products. Scheme 3. Customers can get the information of products with using smart phone to scan QR cord in labels of products and record. Customers can finish whole shopping behaviors without the help of store staff. And can make buying decision even have left shopping mall as a online mode. Scheme 4. Store managers can record the products and the environment of store with 360 camera and update to website. Then customers can browse the virtual space with VR glasses. That make customers can have the real shopping experience without being in the store. In this study, have presented schemes of digital media in commercial space. But there are various of commercial space. In this study was presented schemes for shopping mall by searching fashion shopping behaviors of users. And look forward the researches about specific space setting and other type of commercial space for space development.

Design and Implementation of File Cloud Server by Using JAVA SDK (Java SDK를 이용한 파일 클라우드 시스템의 설계 및 구현)

  • Lee, Samuel Sangkon
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.8 no.2
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    • pp.86-100
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    • 2015
  • Cloud computing is a computing term that evolved in the late 2000s, based on utility and consumption of computer resources. Google say that "Cloud computing involves deploying groups of remote servers and software networks that allow different kinds of data sources be uploaded for real time processing to generate computing results without the need to store processed data on the cloud. Cloud computing relies on sharing of resources to achieve coherence and economies of scale, similar to a utility (like the electricity grid) over a network. At the foundation of cloud computing is the broader concept of converged infrastructure and shared services. Cloud computing, or in simpler shorthand just "the cloud", also focuses on maximizing the effectiveness of the shared resources." The cloud service is a smart and/or intelligent service to save private files in any device, anytime, anywhere. Dropbox, OAuth, PAClous are required that the accumulated user's data are archives with cloud service. Currently we suggest an implementation technique to process many tasks to the cloud server with a thread pooling. Thread pooling is one of efficient implementating technique for client and service environment. In this paper, to present the implementation technique we suggest three diagrams in the consideration of software engineering.

Relationship Analysis between Malware and Sybil for Android Apps Recommender System (안드로이드 앱 추천 시스템을 위한 Sybil공격과 Malware의 관계 분석)

  • Oh, Hayoung
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.26 no.5
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    • pp.1235-1241
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    • 2016
  • Personalized App recommendation system is recently famous since the number of various apps that can be used in smart phones that increases exponentially. However, the site users using google play site with malwares have experienced severe damages of privacy exposure and extortion as well as a simple damage of satisfaction descent at the same time. In addition, Sybil attack (Sybil) manipulating the score (rating) of each app with falmay also present because of the social networks development. Up until now, the sybil detection studies and malicious apps studies have been conducted independently. But it is important to determine finally the existence of intelligent attack with Sybil and malware simultaneously when we consider the intelligent attack types in real-time. Therefore, in this paper we experimentally evaluate the relationship between malware and sybils based on real cralwed dataset of goodlplay. Through the extensive evaluations, the correlation between malware and sybils is low for malware providers to hide themselves from Anti-Virus (AV).