• 한국정보시스템학회지:정보시스템연구
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• 제19권4호
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• pp.183-206
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• 2010

The technology acceptance model (TAM) is a lot of cited in information technology adoption and usage researches. But TAM has been conducted primarily in volitional environments of the adoption of new technology. This paper discusses technology acceptance in accounting information systems to examine TAM with Characteristics of Organizations and Individuals in mandated using Combined Guard System. Combined Guard System is a scientific guard system that is composed of automated surveillance system, automated sensing system and control system. GOP Scientific Guard System is operated by GOP unit in Korean Army O Division from 2006. In this study, using the extended technology acceptance model, we have analyzed factors which affect the usage intention of GOP Scientific Guard System in mandated using environment. Based upon previous researches, we have selected Support of management unit, Training, Perceived Risk, Subjective Knowledge and Computer Self-efficacy, perceived usefulness, perceived ease of use, and usage intention as variables and proposed a research model. We collected 253 survey questionnaires from Korean army officer and soldier who are serviced at GOP unit in O Division, and analyzed the data using SPSS 12.0 and SmartPLS 2.0M3. According to the results by PLS analysis, According to the results by PLS analysis, Training and Subjective Knowledge did not affect Perceived usefulness, but the other hypotheses were accepted. And Perceived usefulness, and Ease of use influenced the Usage intention. The results of this study will increase Characteristics of Organizations and Individuals on GOP Scientific Guard System and eventually contribute to establishing the activation of Combined Guard System.

• 한국의류산업학회지
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• 제18권3호
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• pp.363-373
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• 2016

This study aims to develop an all-fabric integrated smart jacket in order to create a temperature-regulating system based on a user experience design. For this research, previous research technologies of a textile switch interface and a temperature-regulating system were utilized and a unifying technology for the all-fabric integrated smart jacket was developed which can provide the appropriate temperature environments to the human body. A self-heating textile was applied at the areas of the back and hood in the final tested jacket, and an embroidery circuit was developed in the form of a rectangle in the back and in both ears of the hood, taking into account the pattern of the jacket part where it was be applied and the embroidery production method. The textile switch interface was designed in a three-layer structure: an embroidery circuit line in a conductive yarn, an interval material, and a conductive sensing material, and it was made to work with the input and output sensors through the multiple input method. After the all-fabric integrated smart jacket was produced according to the pattern, all of the textile band lines for transmission were gathered and connected with a miniature module for controlling temperature and then integrated into the inside of the left chest pocket of the jacket. After the users put on this jacket, they were asked to assess the wearing satisfaction. Most of them reported a very low level of irritation and discomfort and said that the jacket was as comfortable as everyday clothing.

• 한국멀티미디어학회논문지
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• 제14권11호
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• pp.1450-1457
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• 2011

현재, 일반적인 누수감지 모니터링 시스템은 라이선스를 지불하는 전자 지도를 이용하기에, 시스템 구축비용과 관리 주체인 지자체의 재정 지출을 높이며 유지보수, 기능 확장, 타 시스템과의 호환 등 비효율적인 문제점을 안고 있다. 이에 본 논문에서는 인터넷 범용 지도를 이용해 저비용과 고효율을 지향하는 상수도 관망 모니터링 시스템을 개발한다. 이 시스템은 호환성이 높은 무료 지도를 활용하기에 기존의 시스템보다 구축비용과 하드웨어 요구 사항은 낮아지며, 결과적으로 전체 모니터링 시스템의 성능은 향상되고, 구축 원가는 급격히 절감된다. 시공과 함께 구축할 수 있는 파이프라인 DB 구축 방식도 함께 제안하여 전반적인 시스템의 현장 적용성도 높이는 결과를 도출한다.

• International Journal of Internet, Broadcasting and Communication
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• 제9권4호
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• pp.38-43
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• 2017

Sensor Networks (WSNs) can be defined as a self-configured and infrastructure-less wireless networks to monitor physical or environmental conditions, such as temperature, sound, vibration, pressure, motion or pollutants and to cooperatively pass their data through the network to a main location or base-station where the data can be observed and analyzed. Typically a wireless sensor network contains hundreds of thousands of sensor nodes. The sensor nodes can communicate among themselves using radio signals. A wireless sensor node is equipped with sensing and computing devices, radio transceivers and power components. The individual nodes in a wireless sensor network (WSN) are inherently resource constrained: they have limited processing speed, storage capacity, communication bandwidth and limited-battery power. At present time, most of the research on WSNs has concentrated on the design of energy- and computationally efficient algorithms and protocols In order to extend the network life-time, in this paper we are looking into a routing protocol, especially LEACH and LEACH-related protocol. LEACH protocol is a representative routing protocol and improves overall network energy efficiency by allowing all nodes to be selected to the cluster head evenly once in a periodic manner. In LEACH, in case of movement of sensor nodes, there is a problem that the data transmission success rate decreases. In order to overcome LEACH's nodes movements, LEACH-Mobile protocol had proposed. But energy consumption increased because it consumes more energy to recognize which nodes moves and re-transfer data. In this paper we propose the new routing protocol considering nodes' mobility. In order to simulate the proposed protocol, we make a scenario, nodes' movements randomly and compared with the LEACH-Mobile protocol.

• 한국ITS학회 논문지
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• 제15권4호
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• pp.26-32
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• 2016

자율주행자동차는 운전자의 조작 없이 목표지점까지 스스로 주행환경을 인식하여 운행하는 최첨단 자동차를 말하며 위성항법장치, 센서 등으로 위치를 측정하고 주행환경을 인식, 연산장치로 가감속 차선변경 등 자율주행을 제어한다. 최근, 자동차 산업은 기존 기계공학과 정보통신, 센서, 위성항법 등 첨단기술이 총 집약된 자율주행 자동차로 빠르게 진화중이다. 교통안전 정책과제 분석은 Issue-Tree를 활용하여 분석하였다. Issue-Tree 방법론은 복잡한 문제를 세분화하여 구체화하고, 체계적으로 접근하는 문제해결 도구로 자율주행자동차 도입에 따른 교통안전 관련 Issue의 해결을 위한 정책과제를 도출하기 위해 사용된다. 교통안전 정책과제를 분석하기 위해는 우선 미래 사회 및 교통여건 변화로부터 Key Word를 도출하고, 이와 연계되는 국내외 도로교통 정책/계획을 확인하여 국내외 도로 교통 정책목표 Key Word를 도출하였다. 도출된 정책목표 Key Word로부터 핵심적인 Issue를 도출하였는데, 이때 Issue-Tree 방법을 통해 체계화하였다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제12권3호
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• pp.1224-1242
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• 2018

Aiming at motion analysis and compensation, it is essential to conduct motion detection with images. However, motion detection and tracking from low-altitude images obtained from an unmanned aerial system may pose many challenges due to degraded image quality caused by platform motion, image instability and illumination fluctuation. This research tackles these challenges by proposing a modified joint transform correlation algorithm which includes two preprocessing strategies. In spatial domain, a modified fuzzy edge detection method is proposed for preprocessing the input images. In frequency domain, to eliminate the disturbance of self-correlation items, the cross-correlation items are extracted from joint power spectrum output plane. The effectiveness and accuracy of the algorithm has been tested and evaluated by both simulation and real datasets in this research. The simulation experiments show that the proposed approach can derive satisfactory peaks of cross-correlation and achieve detection accuracy of displacement vectors with no more than 0.03pixel for image pairs with displacement smaller than 20pixels, when addition of image motion blurring in the range of 0~10pixel and 0.002variance of additive Gaussian noise. Moreover,this paper proposes quantitative analysis approach using tri-image pairs from real datasets and the experimental results show that detection accuracy can be achieved with sub-pixel level even if the sampling frequency can only attain 50 frames per second.

• 한국진공학회:학술대회논문집
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• 한국진공학회 2014년도 제46회 동계 정기학술대회 초록집
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• pp.307-307
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• 2014

정보화 시대로 접어들면서 동일한 공간에 더 많은 정보를 저장할 수 있고, 보다 빠른 동작이 가능한 비휘발성 메모리 소자에 대한 요구가 증가하고 있다. 하지만, 최근 비휘발성 메모리 소자 관련 연구보고에 따르면, 메모리 소자의 소형화 및 직접화 측면에서, 전하 저장을 기반으로 하는 기존의 Floating-Gate(FG) Flash 메모리는 20 nm 이하 공정에서 한계가 예측 되고 있다. 따라서, 이러한 FG Flash 메모리의 한계를 해결하기 위해, 기존에 FET 기반의 FG Flash 구조와 같은 3 terminal이 아닌, Diode와 같은 2 terminal로 동작이 가능한 ReRAM, PRAM, STT-MRAM, PoRAM 등 저항변화를 기반으로 하는 다양한 종류의 차세대 메모리 소자가 연구되고 있다. 그 중, 저항 변화 메모리(ReRAM)는 CMOS 공정 호환성, 3D 직접도, 낮은 소비전력과 빠른 동작 속도 등의 우수한 동작 특성을 가져 차세대 비휘발성 메모리로 주목을 받고 있다. 또한, 상하부 전극의 2 terminal 만으로 소자 구동이 가능하기 때문에 Passive Crossbar-Array(CBA)로 적용하여 플래시 메모리를 대체할 수 있는 유력한 차세대 메모리 소자이다. 하지만, 이를 현실화하기 위해서는 Passive CBA 구조에서 발생할 수 있는 Read Disturb 현상, 즉 Word-Line과 Bit-Line을 통해 선택된 소자를 제외하고 주변의 다른 소자를 통해 흐르는 Sneak Leakage Current(SLC)를 차단하여 소자의 메모리 State를 정확히 sensing하기 위한 연구가 선행 되어야 한다. 따라서, 현재 이러한 이슈를 해결하기 위해서, 많은 연구 그룹에서 Diodes, Threshold Switches와 같은 ReRAM에 Selector 소자를 추가하는 방법, 또는 Self-Rectifying 특성 및 CRS 특성을 보이는 ReRAM 구조를 제안 하여 SLC를 차단하고자 하는 연구가 시도 되고 있지만, 아직까지 기초연구 단계로서 아이디어에 대한 가능성 정도만 보고되고 있는 현실 이다. 이에 본 논문은 Passive CBA구조에서 발생하는 SLC를 해결하기 위한 새로운 아이디어로써, 본 연구 그룹에서 선행 연구로 확보된 안정적인 저항변화 물질인 SiN를 정류 특성을 가지는 n-Si/Ti 기반의 Schottky Diode와 결합함으로써 기존의 CBA 메모리의 Read 동작에서 발생하는 SLC를 차단 할 수 있는 1SD-1R 구조의 메모리 구조를 제작 하였으며, 본 연구 결과 기존에 문제가 되었던 SLC를 차단 할 수 있었다.

• 디지털산업정보학회논문지
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• 제12권1호
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• pp.1-12
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• 2016

The current economic crisis is making new demands on manufacturing industry, in particular, in terms of the flexibility and efficiency of production processes. This requires production and administrative processes to be meshed with each other by means of IT systems to optimise the use and capacity utilisation of machines and lines but also to be able to respond rapidly to wrong developments in production and thus to minimise adverse impacts on the business. The future scenario of the "smart factory" represents the zenith of this development. The factory can be modified and expanded at will, combines all components from different manufacturers and enables them to take on context-related tasks autonomously. Integrated user interfaces will still be required at most for basic functionalities. The complex control operations will run wirelessly and ad hoc via mobile terminals such as PDAs or smartphones. The comnination of IoT, and Big Data optimisation is bringing about huge opportunities. these processes are not just limited to manufacturing, anywhere a supply chain environment exists can benefit from information provided by linked devices and access to big data to inform their decision support. Building a smart factory with smart assets at its core means reaching those desired new levels of productivity and efficiency. It means smart products that leverage advanced traceability, connectivity and intelligence. For businesses, it means being able to address the talent crunch through more autonomous. In a Smart Factory, machinery and equipment will have the ability to improve processes through self-optimization and autonomous decision-making.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2007년도 Proceedings of ISRS 2007
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• pp.438-441
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• 2007

Recently, due to molecular biology and engineering technology, DNA microarray makes people watch thousands of genes and the state of variation from the tissue samples of living body. With DNA Microarray, it is possible to construct a genetic group that has similar expression patterns and grasp the progress and variation of gene. This paper practices Cluster Analysis which purposes the discovery of biological subgroup or class by using gene expression information. Hence, the purpose of this paper is to predict a new class which is unknown, open leukaemia data are used for the experiment, and MCL (Markov CLustering) algorithm is applied as an analysis method. The MCL algorithm is based on probability and graph flow theory. MCL simulates random walks on a graph using Markov matrices to determine the transition probabilities among nodes of the graph. If you look at closely to the method, first, MCL algorithm should be applied after getting the distance by using Euclidean distance, then inflation and diagonal factors which are tuning modulus should be tuned, and finally the threshold using the average of each column should be gotten to distinguish one class from another class. Our method has improved the accuracy through using the threshold, namely the average of each column. Our experimental result shows about 70% of accuracy in average compared to the class that is known before. Also, for the comparison evaluation to other algorithm, the proposed method compared to and analyzed SOM (Self-Organizing Map) clustering algorithm which is divided into neural network and hierarchical clustering. The method shows the better result when compared to hierarchical clustering. In further study, it should be studied whether there will be a similar result when the parameter of inflation gotten from our experiment is applied to other gene expression data. We are also trying to make a systematic method to improve the accuracy by regulating the factors mentioned above.

• 공학교육연구
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• 제14권4호
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• pp.11-19
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• 2011

본 연구의 목적은 공과대학생을 위한 교수학습 전략에 대한 시사점을 도출하기 위해 공과대학 신입생의 학습양식과 학습전략 수준을 검토하고, 학습양식에 따른 학습전략 활용 정도를 분석하였다. 서울에 소재한 K대학교와 H대학교의 1학년생 273명을 대상으로 분석한 결과, 감각형, 시각형, 숙고형, 순차형이 더 높은 비율을 차지하였다. 학습전략은 3.28점(SD=0.38)으로서 평균 수준이었으며, 상대적으로 초인지 영역의 수준이 가장 높고, 내적관리 영역 수준이 가장 낮은 것으로 나타났다. 한편, 학습양식에 따른 학습전략 수준의 차이를 분석한 결과, 정보처리 차원에서 학습전략의 유의한 차이가 나타났는데 적극적 학습자의 학습전략 수준이 높은 것으로 나타났다. 세부 전략에서는 인지 영역과 내적/외적관리 영역에서 학습양식별 유의한 차이를 보였다. 본 연구 결과에 기초하여 공과대학의 교수전략 및 학습전략에 대한 시사점을 도출하였다.