• 한국전자통신학회논문지
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• 제8권3호
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• pp.379-387
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• 2013

대규모 무선 센서 네트워크에 있어서 광역도청에 대응하여 통신 근원지와 도착지의 위치기밀을 유지하기 위해서는 흔히 과다한 더미패킷들이 발생된다. 앞서의 연구에서는 데이터패킷 전송 동안에 근원지와 도착지를 포함하는 일정 범위 내의 노드들만이 빈 타임-슬롯마다 더미패킷을 발생하도록 하는 위치보안 라우팅 프로토콜 ELPR(End-node Location Privacy Routing)을 제안하였다. 이 논문에서는 고정된 보안성을 갖는 PCM(Periodic Collection Method)에 비해 ELPR은 다양한 위치보안 수준을 제공함을 보였다. 시뮬레이션을 통해 ELPR은 노드들의 수나 데이터패킷들이 많은 경우, PCM보다 발생 패킷 수에 있어서 경제성 있는 위치보안이 가능함을 확인하였다.

• 한국생물정보학회:학술대회논문집
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• 한국생물정보시스템생물학회 2000년도 International Symposium on Bioinformatics
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• pp.45-52
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• 2000

Genomic approach produces massive amount of data within a short time period, New high-throughput automatic sequencers can generate over a million nucleotide sequence information overnight. A typical DNA chip experiment produces tens of thousands expression information, not to mention the tens of megabyte image files, These data must be handled automatically by computer and stored in electronic database, Thus there is a need for systematic approach of data collection, processing, and analysis. DNA sequence information is translated into amino acid sequence and is analyzed for key motif related to its biological and/or biochemical function. Functional genomics will play a significant role in identifying novel drug targets and diagnostic markers for serious diseases. As an enabling technology for functional genomics, bioinformatics is in great need worldwide, In Korea, a new functional genomics project has been recently launched and it focuses on identi☞ing genes associated with cancers prevalent in Korea, namely gastric and hepatic cancers, This involves gene discovery by high throughput sequencing of cancer cDNA libraries, gene expression profiling by DNA microarray and proteomics, and SNP profiling in Korea patient population, Our bioinformatics team will support all these activities by collecting, processing and analyzing these data.

• 한국통신학회논문지
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• 제29권4A호
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• pp.399-414
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• 2004

In this paper, an evolution of software reliability engineering in a large-scale software project is summarized. The considered software consists of many components, called functional blocks in software of switching system. These functional blocks are served as the unit of coding and test, and the software is continuously updated by adding new functional blocks. We are mainly concerned with the analysis of the effects of these software components in software reliability and reliability evolution. We analyze the static characteristics of the software related to software reliability using collected failure data during system test. We also discussed a pattern which represents a local and global growth of the software reliability as version evolves. To find the pattern of system software, we apply the S-shaped model to a collection of failure data sets of each evolutionary version and the Goel-Okumoto(G-O) model to a grouped overall failure data set. We expect this pattern analysis will be helpful to plan and manage necessary human/resources fur a new similar software project which is developed under the same developing circumstances by estimating the total software failures with respect to its size and time.

• 산경연구논집
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• 제15권3호
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• pp.21-29
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• 2024

Purpose: Electronic vehicles (EV) consumption become more prevalent among Vietnamese consumers. This paper aims to empirically assess the determinants of EV purchase intention among Vietnamese consumers. The research findings are expected to promote the consumption of electric vehicles in Vietnam. Research design, data and methodology: The quantitative research approach employed the Exploratory Factor Analysis (EFA). The sample size includes 301 respodents. Research design unified Theory of Acceptance and Use of Technology (UTAUT) and UTAUT2. The data collection process employ the non-probability sampling. Questionaire survey consists of 24 questions given to respondents via Google Form link. Data is processed by SPSS version 20 software. Results: The results proposed 04 determinants of the intention to buy electric vehicles: Government Support, Environmental Concern, Price Value, and Performance. Conclusions: Theorectical implications and managerial implications are also discussed to promote the consumption of electronic vehicles in Vietnam. Besides, the findings show that Price value, Environmental Concern and Performance positively affect the purchase intention of EV among Vietnamese consumers. Remarkably, Government Support is proven to be an insignificant factor in EV purchase intention. The call for further research rely on the role of government support in order to promote EV consumption in Vietnam and other emerging markets worldwide.

• Journal of Information Science Theory and Practice
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• 제1권2호
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• pp.69-83
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• 2013

This paper aims to determine the preference and use of electronic information and resources by blind/visually impaired users in the leading National Capital Region (NCR) libraries of India. Survey methodology has been used as the basic research tool for data collection with the help of questionnaires. The 125 in total users surveyed in all the five libraries were selected randomly on the basis of willingness of the users with experience of working in digital environments to participate in the survey. The survey results were tabulated and analyzed with descriptive statistics methods using Excel software and 'Stata version 11'. The findings reveal that ICT have a positive impact in the lives of people with disabilities as it helps them to work independently and increases the level of confidence among them. The Internet is the most preferred medium of access to information among the majority of blind/visually impaired users. The 'Complexity of content available on the net' is found as the major challenge faced during Internet use by blind users of NCR libraries. 'Audio books on CDs/DVDs and DAISY books' are the most preferred electronic resources among the majority of blind/visually impaired users. This study will help the library professionals and organizations/institutions serving people with disabilities to develop effective library services for blind/visually impaired users in the digital environment on the basis of findings on information usage behavior in the study.

• 한국전자통신학회논문지
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• 제8권8호
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• pp.1247-1255
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• 2013

본 논문에서는 기존에 매설된 기준점의 문제점을 분석 및 보완하기 위해서 경관 조명, 실시간 데이터 수집, 주변 지각변동의 모니터링이 가능한 LED 및 자이로센서 기반의 다기능 전자측량기준점 프로토타입 시스템을 제안한다. 제안하는 시스템의 H/W는 지각변동 감지를 위해서 자이로센서모듈을 탑재하고, 위치정보를 처리하기 위한 GPS모듈, 전자측량기준점의 주변 환경 데이터를 처리하기 위한 환경 센서 모듈을 이용하여 센서값을 데이터화하고 수집된 데이터를 CDMA 무선 통신으로 서버로 전송이 가능하도록 하였다. 아울러 전자측량 기준점의 H/W 활용을 높이기 위해 전자측량기준점 H/W의 외관에 LED 및 QR코드, RFID, 태양광모듈을 적용시켜 시스템 관리 및 사후 활용성 높이고자 한다. 마지막으로 본 논문에서 제안한 다기능 전자측량기준점에 다양한 기능이 포함되어 있어 안정적인 전력 공급을 위한 전류량 평가를 실시하였고, 측정 결과 전력 소실률이 2.29%로 비교적 안정적인 운영이 가능한 결과를 확인하였다. 그리고 제안된 전자측량기준점의 우수성을 평가하기 위해 기존에 연구된 전자측량기준점 시스템과의 정성적인 비교평가를 실시하였다.

• 한국전기전자재료학회:학술대회논문집
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• 한국전기전자재료학회 2009년도 추계학술대회 논문집
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• pp.222-222
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• 2009

Currently in electric railways, there are various test standards for catenary systems such as stability assessment standards and maintenance standards for appropriate vehicle operation. In Korea, maintenance vehicles are used to measure height, stagger, and wear of catenaries and various tests are being conducted based on maintenance manuals. In this paper, real-time data aquisition technologies for assessment of electric railway current collection status between catenaries and pantographs that are consistantely being developed from the adoption of electric railways were analyzed based on on-board measurement items.

• 한국지능정보시스템학회:학술대회논문집
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• 한국지능정보시스템학회 2001년도 The Pacific Aisan Confrence On Intelligent Systems 2001
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• pp.156-163
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• 2001

Business forecasting is vital to the success of business. There has been an increasing demand for building business forecasting software system to assist human being to do forecasting. However, the uncertain and complex nature makes is a challenging work to analyze, design and implement software solutions for business forecasting. Traditional forecasting systems in which their models are trained based on small collection of historical data could not meet such challenges at the information explosion over the Internet. This paper presents an agent oriented business forecasting approach for building intelligent business forecasting software systems with high reusability. Although agents have been applied successfully to many application domains. little work has been reported to use the emerging agent oriented technology of this paper is that it explores how agent can be used to help human to manage various business forecasting processes in the whole business forecasting life cycle.

• Journal of Information Processing Systems
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• 제11권3호
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• pp.325-341
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• 2015

This paper describes the Tezpur University dataset of online handwritten Assamese characters. The online data acquisition process involves the capturing of data as the text is written on a digitizer with an electronic pen. A sensor picks up the pen-tip movements, as well as pen-up/pen-down switching. The dataset contains 8,235 isolated online handwritten Assamese characters. Preliminary results on the classification of online handwritten Assamese characters using the above dataset are presented in this paper. The use of the support vector machine classifier and the classification accuracy for three different feature vectors are explored in our research.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 2006년도 춘계학술대회 논문집
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• pp.611-612
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• 2006

Many data mining techniques have been proved useful in revealing important patterns from large data sets. Especially, data mining techniques play an important role in a customer data analysis in a financial industry and an electronic commerce. Also, there are many data mining related research papers in a semiconductor industry and an automotive industry. In addition, data mining techniques are applied to the bioinformatics area. To satisfy customers' various requirements, each industry should develop new processes with more accurate production criteria. Also, they spend more money to guarantee their products' quality. In this manner, we apply data mining techniques to the production-related data such as a test data, a field claim data, and POP (point of production) data in the automotive parts industry. Data collection and transformation techniques should be applied to enhance the analysis results. Also, we classify various types of manufacturing processes and proposed an analysis scheme according to the type of manufacturing process. As a result, we could find inter- or intra-process relationships and critical features to monitor the current status of the each process. Finally, it helps an industry to raise their profit and reduce their failure cost.