• Title/Summary/Keyword: 수단적

Search Result 5,992, Processing Time 0.035 seconds

Modeling of the Cluster-based Multi-hop Sensor Networks (클거스터 기반 다중 홉 센서 네트워크의 모델링 기법)

  • Choi Jin-Chul;Lee Chae-Woo
    • Journal of the Institute of Electronics Engineers of Korea TC
    • /
    • v.43 no.1 s.343
    • /
    • pp.57-70
    • /
    • 2006
  • This paper descWireless Sensor Network consisting of a number of small sensors with transceiver and data processor is an effective means for gathering data in a variety of environments. The data collected by each sensor is transmitted to a processing center that use all reported data to estimate characteristics of the environment or detect an event. This process must be designed to conserve the limited energy resources of the sensor since neighboring sensors generally have the data of similar information. Therefore, clustering scheme which sends aggregated information to the processing center may save energy. Existing multi-hop cluster energy consumption modeling scheme can not estimate exact energy consumption of an individual sensor. In this paper, we propose a new cluster energy consumption model which modified existing problem. We can estimate more accurate total energy consumption according to the number of clusterheads by using Voronoi tessellation. Thus, we can realize an energy efficient cluster formation. Our modeling has an accuracy over $90\%$ when compared with simulation and has considerably superior than existing modeling scheme about $60\%.$ We also confirmed that energy consumption of the proposed modeling scheme is more accurate when the sensor density is increased.

Fingerprint Recognition Algorithm using Clique (클릭 구조를 이용한 지문 인식 알고리즘)

  • Ahn, Do-Sung;Kim, Hak-Il
    • Journal of the Korean Institute of Telematics and Electronics S
    • /
    • v.36S no.2
    • /
    • pp.69-80
    • /
    • 1999
  • Recently, social requirements of personal identification techniques are rapidly expanding in a number of new application ares. Especially fingerprint recognition is the most important technology. Fingerprint recognition technologies are well established, proven, cost and legally accepted. Therefore, it has more spot lighted among the any other biometrics technologies. In this paper we propose a new on-line fingerprint recognition algorithm for non-inked type live scanner to fit their increasing of security level under the computing environment. Fingerprint recognition system consists of two distinct structural blocks: feature extraction and feature matching. The main topic in this paper focuses on the feature matching using the fingerprint minutiae (ridge ending and bifurcation). Minutiae matching is composed in the alignment stage and matching stage. Success of optimizing the alignment stage is the key of real-time (on-line) fingerprint recognition. Proposed alignment algorithm using clique shows the strength in the search space optimization and partially incomplete image. We make our own database to get the generality. Using the traditional statistical discriminant analysis, 0.05% false acceptance rate (FAR) at 8.83% false rejection rate (FRR) in 1.55 second average matching speed on a Pentium system have been achieved. This makes it possible to construct high performance fingerprint recognition system.

  • PDF

The Expansion of Bus Networks Connecting Incheon International Airport (인천국제공항 운행버스 노선망의 형성과 그 요인)

  • Han, Ju-Seong
    • Journal of the Korean Geographical Society
    • /
    • v.43 no.4
    • /
    • pp.544-560
    • /
    • 2008
  • This study seeks to clarify the background and factors for the expansion of bus networks that connect Incheon International Airport with its hinterlands. For this research objective, this paper analyzes the relationships among the change of bus routes, competitive transportation modes, passenger fares, and the shortest time distance. Previously, the hinterlands of route bus networks that connect Gimpo International Airport were Seoul metropolitan area, Chungcheong region, Jeonju and Iksan in Jeollabuk-do(province). However, the opening of Incheon International Airport resulted in the expansion of the hinterlands of bus networks to Gangwon-do, Gwangju, and major cities in Youngnam region. Simultaneously, route bus networks also expanded in Seoul metropolitan area. Each bus route connecting Incheon International Airport with its hinterlands was opened by a single bus company or various bus companies. In many cases, due to the uncertainty of revenues or bus company's regional ties, a bus route was opened by various bus companies. In this paper, the analysis of the number of one-way route bus service and density of flight passengers shows that the frequency of the route bus service for Seoul except Gangseo-gu(ward) and for Seoul's satellite cities(Suwon, Seongnam, Anyang, Gunpo, Guri, and Osan) should be decreased. The analysis also shows that the frequency of the route bus services for the other cities, counties(Guns), and wards(gus) should be increased. In Seoul metropolitan area, although route bus fares are more expensive than subway fares, passengers use route bus more frequency than subway because time distance of route bus is shorter than that of subway and subway transfer is inconvenient. In general, outside Seoul metropolitan area, air flight is preferred in the regions that have airports. In contrast, the route bus is preferred in Daegu and other regions that do not have airports.

Fast Foods Intake of Highschool Students in Daejeon Area - Hamburger, Pizza, and Fried Chicken Intake - (대전지역 고등학생의 패스트푸드 섭취 실태 - 햄버거, 피자, 프라이드치킨 섭취 실태 -)

  • Bae, Young-kung;Kim, Youngnam
    • Journal of Korean Home Economics Education Association
    • /
    • v.28 no.2
    • /
    • pp.41-50
    • /
    • 2016
  • Fast foods are very popular to adolescent and the sales are increasing due to the convenience, low price, and a broad scale advertisement through mass media. Fast foods are often named as junk foods because of high calorie and fat, low vitamins and minerals contents. This study investigated the intake frequency of hamburger, pizza and fried chicken, the 3 representative fast foods, in 306 male and female high school students living in Daejeon. Data were collected by food frequency questionnaire, and analyzed by SPSS(ver. 18.0). Intake frequency of hamburger, pizza and fried chicken were 33, 29, 17 times per year, respectively. Intake frequency of these 3 fast foods were not sig. different by BMI obesity, breakfast and supper meal frequency, and first time of fast foods intake. But intake frequency of fast foods were different by the allowance, intake frequence of pizza and fried chicken are higher in students with higher allowance. Restrain score of fast foods intake were higher in underweight and obese than normal weight students. There were no sig. difference of intake restrain score by preferable future body figure. As conclusion, the most effective way of reducing the fast food intake frequency in adolescent were cutting down the allowance. Besides that education based on analysis about what are the specific nutritional defects in each fast food may help to change the behavior of fast foods intake.

User Access Patterns Discovery based on Apriori Algorithm under Web Logs (웹 로그에서의 Apriori 알고리즘 기반 사용자 액세스 패턴 발견)

  • Ran, Cong-Lin;Joung, Suck-Tae
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
    • /
    • v.12 no.6
    • /
    • pp.681-689
    • /
    • 2019
  • Web usage pattern discovery is an advanced means by using web log data, and it's also a specific application of data mining technology in Web log data mining. In education Data Mining (DM) is the application of Data Mining techniques to educational data (such as Web logs of University, e-learning, adaptive hypermedia and intelligent tutoring systems, etc.), and so, its objective is to analyze these types of data in order to resolve educational research issues. In this paper, the Web log data of a university are used as the research object of data mining. With using the database OLAP technology the Web log data are preprocessed into the data format that can be used for data mining, and the processing results are stored into the MSSQL. At the same time the basic data statistics and analysis are completed based on the processed Web log records. In addition, we introduced the Apriori Algorithm of Web usage pattern mining and its implementation process, developed the Apriori Algorithm program in Python development environment, then gave the performance of the Apriori Algorithm and realized the mining of Web user access pattern. The results have important theoretical significance for the application of the patterns in the development of teaching systems. The next research is to explore the improvement of the Apriori Algorithm in the distributed computing environment.

Optimal height of installing sticky traps for monitoring fungus gnats (버섯파리류 예찰을 위한 끈끈이트랩의 최적 설치위치)

  • Yoon, Jung-Beom;Kim, Hyeong-Hwan;Kim, Dong-Hwan;Yang, Chang-Yeol;Seo, Mi-Hey
    • Journal of Mushroom
    • /
    • v.16 no.1
    • /
    • pp.57-60
    • /
    • 2018
  • Agricultural sticky traps are used for forecasting flying insects, including fungus gnat adults. Forecasting using sticky trap is an important measure to determine pesticides or environmentally friendly control means. Sticky traps of various colors can be installed easily and quickly. The yellow sticky trap is most effective for forecasting fungus gnat adults. In addition, they are used for control purposes by mass trapping. We tested the optimum installation height of yellow sticky traps to forecast and control the fungus gnat adults effectively in the cultivation of mushroom and horticultural plants. The number of captured fungus gnat adults was highest on the second floor for button mushroom and oyster mushroom, 100 cm above the floor for sawdust shiitake mushroom, 20 cm under the floor for hydroponic strawberry, and 20 cm above the floor for hydroponic tomato. This suggests that sticky trap height should be installed differently depending on the cultivation type or environment for effective forecasting and control of fungus gnat adults.

GIS Based Real-Time Transit Information Integration and Its Transit Planning Implications

  • Hwang, Da-Hae;Kim, Dong-Young;Choi, Yun-Soo;Cho, Seong-Kil
    • Journal of Korean Society for Geospatial Information Science
    • /
    • v.15 no.2 s.40
    • /
    • pp.87-93
    • /
    • 2007
  • Over the years, Advanced Public Transportation System (APTS) has been implemented to manage and operate public transportation system. With the expanding mass spatio-temporal data such as comprehensive spatial information of each individual passenger and public transportation vehicle, it has been required to consolidate and analyze these multiple data sets from various sources. This paper demonstrates how GIS is utilized for the consolidation of massive transit related spatio-temporal information. And it presents effective applications to improve transit planning process and support transit related decision-making activities. GIS based system is used to combine multi-agents' data in the areas of transit operation and individual transit ride and transfer management. Due to the unique comprehensiveness and the level of detail of the data provide by the Seoul Transit system, this GIS based information consolidation is the first in its class. Based on the integrated database, this paper describes the effective and efficient GIS based analysis deployed in a transportation system planning process. The data integration systems and analytic models developed in this paper can be transferred and applied by any municipal governments provided that the appropriate data is available.

  • PDF

Design and Implementation of a Real-Time Lipreading System Using PCA & HMM (PCA와 HMM을 이용한 실시간 립리딩 시스템의 설계 및 구현)

  • Lee chi-geun;Lee eun-suk;Jung sung-tae;Lee sang-seol
    • Journal of Korea Multimedia Society
    • /
    • v.7 no.11
    • /
    • pp.1597-1609
    • /
    • 2004
  • A lot of lipreading system has been proposed to compensate the rate of speech recognition dropped in a noisy environment. Previous lipreading systems work on some specific conditions such as artificial lighting and predefined background color. In this paper, we propose a real-time lipreading system which allows the motion of a speaker and relaxes the restriction on the condition for color and lighting. The proposed system extracts face and lip region from input video sequence captured with a common PC camera and essential visual information in real-time. It recognizes utterance words by using the visual information in real-time. It uses the hue histogram model to extract face and lip region. It uses mean shift algorithm to track the face of a moving speaker. It uses PCA(Principal Component Analysis) to extract the visual information for learning and testing. Also, it uses HMM(Hidden Markov Model) as a recognition algorithm. The experimental results show that our system could get the recognition rate of 90% in case of speaker dependent lipreading and increase the rate of speech recognition up to 40~85% according to the noise level when it is combined with audio speech recognition.

  • PDF

Automatic Control for Ship Collision Avoidance Support-II (선박충돌회피지원을 위한 자동제어-II)

  • Im, Nam-Kyun
    • Journal of Navigation and Port Research
    • /
    • v.28 no.1
    • /
    • pp.9-16
    • /
    • 2004
  • The purpose of this study is to examine the algorithm of ship collision avoidance system and to improve its performance. The study on the algorithm of ship collision avoidance system have been carried out by many researchers. We can divide the study according to the adopted theory into two category such as 'collision risk calculation method' and 'risk area method'. It is not so difficult to find heir merit and demerit in the respective method. This study suggested newly modified model, which can overcome a limit in the two method. The suggested model is based on collision risk calculation method and suggests how to solve the threshold value problem, that is, one of the unsolved issues in collision risk calculation method. To solve that problem this study proposed new system under which the users can select appropriate threshold value according to environments such as traffic situations and weathers conditions. Simulation results of new model is schematized using 'risk area method'to examine the relationships between the two method. In addition, in case of 'collision risk method', when TCPA and DCPA are used to determine collision risk, a problem happens, that is, two ships become too close in their stem area, therefore, partial function of 'risk area method'is adopted to solve the problem in suggested model.

Finite Element Analysis of Flow and Water Quality in the New Harbor Site (신항만부지에서의 유동 및 수질에 관한 유한요소해석)

  • Ahn, Do-Kyung;Lee, Joong-Woo
    • Journal of Navigation and Port Research
    • /
    • v.26 no.1
    • /
    • pp.137-145
    • /
    • 2002
  • Water flow simulations for environmental problems often require local detailed analyses for better understanding and accurate prediction of the fate of pollutant in water bodies. This study deals with the development and application of a two-dimensional flow an dispersion model to the coastal water area to find out possible changes due to the wide port development plan. As far as the spatial discretization is concerned, the finite element method is attractive because of its flexibility and ability to naturally treat complex coastal geometries. The model uses finite element theory and the Galerkin weighted-residual approach as its basis. Developed model is applied to the Busan New harbor Construction site. Results from the model were compared with the measured water level and flows in four stations. The flow pattern by the model shows to be similar to the observed data away from the construction site where the flow is not affected. From the simulation results, it is concluded that the model may be useful for numerous other studies for planning and management purposes, especially flow and pollution dispersion in the coastal water bodies where the flow is so complicated.