• Title/Summary/Keyword: information needs analysis

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A Development of The Road Surface Decision Algorithm Using SVM(Support Vector Machine) Clustering Methods (SVM(Support Vector Machine) 기법을 활용한 노면상태 판별 알고리즘 개발)

  • Kim, Jong Hoon;Won, Jae Moo
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.12 no.5
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    • pp.1-12
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    • 2013
  • Road's accidents caused by Ice, snow, Wet of roads surface conditions and weather conditions situations that are constantly occurring. That is, driver's negligence and safe driving ability of individuals due to lack of awareness, and Road management main agent(the government and the public, etc.) due to road conditions, if there is insufficient information. So Related research needs is a trend that is required. In this study, gather Camera(Stereo camera)'s image data, and analysis polarization coefficients and wavelet transform. And unlike traditional single-dimensional classification algorithms as multi-dimensional analysis by using SVM classification techniques, develop an algorithm to determine road conditions. Four on the road conditions (dry, wet, snow, ice) recognition success rate for the detection and analysis of experiments.

Development of the Standard Worksheet System for the Quality Risk Management of Apparel Products (패션의류제품의 품질 리스크 관리를 위한 표준작업지시서 시스템 개발)

  • 이원자;유지선
    • Journal of the Korean Society of Clothing and Textiles
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    • v.27 no.9_10
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    • pp.1160-1171
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    • 2003
  • This study is intended to examine the current situation and the problems of the "worksheets, regarding various factors that exert influences onto the quality-risk management, which is one of the most significant factors specifying an apparel product. This paper advances according to the following sequences: 1. Literature survey 2. Field research on actual "apparel vendors" and production factories 3. Investigating the requirements relating to the worksheet 4. Developing standard format of the worksheet 5. Effectiveness analysis on the standard worksheet 6. Proposal of an intelligent model applying standard worksheet system. This study is performed with the following research methods; those are questionnaire surveys, statistical analysis, interviews, collecting & analyzing worksheets, product sample quality experiment, functional analysis of the system, and materialization of the prototype system. The significance of this research is that it suggests the possible effective use of worksheet, which reflects the customers' needs in terms of the product quality, at the stage of the product planning process. Despite its importance, the current work structure does not visibly reflect these components. Therefore, with the result of this research, it is considered that the worksheet systems will meet more useful improvements in risk management process. The limitations of this research are as follows. Although it is evident that the standard worksheets bring effective results in quality improvements of products, considerations must be made onto some additional payoffs arising from the additional cost of necessary labor forces with expert knowledge and cost of the effort and time inputting correct information for running the system.

An Indoor Location Estimation Method Selection Algorithm based on environment of moving object (이동객체가 위치한 환경에 따른 실내 위치추정기법 선택 알고리즘)

  • Jeon, Hyeon-Sig;Yeom, Jin-Young;Park, Hyun-Ju
    • Journal of Internet Computing and Services
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    • v.12 no.2
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    • pp.19-28
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    • 2011
  • Recently, ubiquitous computing and related technologies is more and more growing concern about. Depending on the trend, the moving object recognition and tracking research have been required in order to meet the diverse needs of the user. In the location-based services, one of the most important issues in the indoor environment is to provide location-aware services. In this paper, the effective algorithm to help estimate the position of moving objects in an indoor environment is proposed. We propose an algorithm that combined the existing trilateration measurement and the improved measurement of environmental adaptation scene analysis. The proposed indoor location estimation algorithm use the trilateration measurement when we have enough anchor in the line-of-sight environment. Otherwise that use measurement of environmental adaptation scene analysis. Consequently, the proposed algorithm has been improved the localization accuracy of a moving object as well as was able to reduce complexity of the algorithm.

An Exploratory Study on the Development Progress and the Strategies of the Major Ports and the Busan New Port (주요항만과 부산 신항의 개발현황과 운영전략에 대한 탐사적 연구)

  • Park, Chan-Hi;Kim, In-Kyung
    • Journal of Korea Port Economic Association
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    • v.26 no.1
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    • pp.234-258
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    • 2010
  • This research attempts to explore the competitive advantage of the Busan New Port based on the comparative analysis against the major ports. The competitive environment of the global shipping business poses a variety of challenges for the port authorities. Pursuing the hub position in the Northeast Asia, Busan new port needs an in-depth competitive analysis against the major ports in Singapore and China. This research proposes the strategies to exploit the locational advantage of the port while upgrading the operational efficiency. The recent development of the information technology suggests a viable solution for the Busan port.

Greenhouse Gas Mitigation Policies and National Emission Targets of Korea (온실가스 감축을 위한 정책과 우리나라의 부문별 감축여건)

  • Kim, Ho-Seok
    • Journal of Korean Society of Environmental Engineers
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    • v.32 no.9
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    • pp.809-817
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    • 2010
  • Reducing emissions across all sectors requires a well-designed policies tailored to fit specific national circumstances. And every climate policymaker would like to have an accurate method of assessing the quantitative impacts of future policies to address GHG-related problems. Estimates of future changes in a nation's GHG emissions, the expected environmental impacts of future energy sector developments, and the potential costs and benefits of different climate technology and mitigation policy options are desirable inputs to policy making. Various mitigation analysis and modeling approaches helped to fill the needs for these kinds of information, and as such has been an important part of national mitigation policy making in many countries for most of two decades. This paper provides a overview of GHG mitigation policies and mitigation analysis, and sectoral mitigation circumstances and potentials.

Quality Assessment of the Soils Used for Urban Agriculture in Seoul and its Vicinity

  • Lim, Ga-Hee;Park, Sol-Yi;Jeon, Da-Som;Yoon, Jung-Hwan;Lee, Dan-Bi;Oh, Jun-Seok;Kim, Kye-Hoon
    • Korean Journal of Soil Science and Fertilizer
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    • v.49 no.5
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    • pp.572-576
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    • 2016
  • Soil quality assessment is an important tool for environmental management in an agricultural field. It can be used to evaluate the health of the soils and to establish the basis for sustainable urban agriculture and soil management. For this study, the chemical properties of the soils used for urban agriculture were examined. Results of the soil analysis for chemical properties were applied to soil quality assessment system, which is composed of principal component analysis, application to scoring function and derivation of soil quality index (SQI). Soil pH, electrical conductivity (EC), organic matter (OM), total nitrogen (T-N) were determined for minimum data set (MDS) according to principal component analysis. Based on the results of scoring for four indicators (pH, EC, OM, T-N), soil pH was the indicator that needs the most urgent management. Results of SQI derivation showed that many of the urban farms appeared to be insufficient score in comprehensive soil quality assessment. In conclusion, soil management practices based on scores derived from soil chemical indicators need to be carried out to maintain sustainable urban agricultural soil environment and to provide easy-to-understand information to urban farmers.

Study on the Tendency of Interest of Wearable Textile Products according to College Students' Fashion Life Style (대학생들의 패션라이프스타일에 따른 웨어러블 스마트 텍스타일 제품의 관심 경향 연구)

  • Song, HaYoung
    • Journal of Fashion Business
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    • v.22 no.1
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    • pp.41-55
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    • 2018
  • The purpose of this study was to investigate the trends of product design for textile convergence wearable smart textile fashion products according to college students' fashion life style. In this study, we used information obtained from a questionnaire issued to 201 female college students who were 20 years old for the final analysis. The questionnaires were to classify female college students groups according to the fashion life style, to examine characteristics, needs and wants of each group. The survey on the tendency of wearable smart textiles consisted of 22 items about concept and type of smart clothing product, functional material and intelligent material, recognition, preference, purchase intention, purchase factor and brand preference tendency. A total of 201 samples were analyzed by factor analysis, cluster analysis, ANOVA, crosstabs and $x^2-test$ using SPSS package program. 'brand preference oriented type was found to be interested in 'wearable' smart clothing product with monitoring function of bio-signal' and 'high functional fiber and textile product', but the credibility of 'smart clothes that can be worn and smart textile products to be useful in modern life' was low. 'fashionable individuality oriented' type showed interest in 'smart clothing and smart product', 'intelligent fiber' and 'wearable smart clothing product with monitoring function of bio-signal', but the preferences of 'light emitting fiber products' was low. 'practically purchasing-oriented' type was very interested in 'high-functional fiber and its textile products', but had inadequate knowledge on 'smart clothing and smart textile product' and showed low interest. Despite the fact that 'wearable smart clothing and smart textile products' are expensive, they were willing to purchase considering practicality and sophisticated style.

An Efficient Channel Selection and Power Allocation Scheme for TVWS based on Interference Analysis in Smart Metering Infrastructure

  • Huynh, Chuyen Khoa;Lee, Won Cheol
    • Journal of Communications and Networks
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    • v.18 no.1
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    • pp.50-64
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    • 2016
  • Nowadays, smart meter (SM) technology is widely effectively used. In addition, power allocation (PA) and channel selection (CS) are considered problems with many proposed approaches. In this paper, we will suggest a specific scenario for an SM configuration system and show how to solve the optimization problem for transmission between SMs and the data concentrator unit (DCU), the center that collects the data from several SMs, via simulation. An efficient CS with PA scheme is proposed in the TV white space system, which uses the TV band spectrum. On the basic of the optimal configuration requirements, SMs can have a transmission schedule and channel selection to obtain the optimal efficiency of using spectrum resources when transmitting data to the DCU. The optimal goals discussed in this paper are the maximum capacity or maximum channel efficiency and the maximum allowable power of the SMs used to satisfy the quality of service without harm to another wireless system. In addition, minimization of the interference to the digital television system and other SMs is also important and needs to be considered when the solving coexistence scenario. Further, we propose a process that performs an interference analysis scheme by using the spectrum engineering advanced Monte Carlo analysis tool (SEAMCAT), which is an integrated software tool based on a Monte-Carlo simulation method. Briefly, the process is as follows: The optimization process implemented by genetic evolution optimization engines, i.e., a genetic algorithm, will calculate the best configuration for the SM system on the basis of the interference limitation for each SM by SEAMCAT in a specific configuration, which reaches the solution with the best defined optimal goal satisfaction.

Performance Analysis of Face Recognition by Face Image resolutions using CNN without Backpropergation and LDA (역전파가 제거된 CNN과 LDA를 이용한 얼굴 영상 해상도별 얼굴 인식률 분석)

  • Moon, Hae-Min;Park, Jin-Won;Pan, Sung Bum
    • Smart Media Journal
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    • v.5 no.1
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    • pp.24-29
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    • 2016
  • To satisfy the needs of high-level intelligent surveillance system, it shall be able to extract objects and classify to identify precise information on the object. The representative method to identify one's identity is face recognition that is caused a change in the recognition rate according to environmental factors such as illumination, background and angle of camera. In this paper, we analyze the robust face recognition of face image by changing the distance through a variety of experiments. The experiment was conducted by real face images of 1m to 5m. The method of face recognition based on Linear Discriminant Analysis show the best performance in average 75.4% when a large number of face images per one person is used for training. However, face recognition based on Convolution Neural Network show the best performance in average 69.8% when the number of face images per one person is less than five. In addition, rate of low resolution face recognition decrease rapidly when the size of the face image is smaller than $15{\times}15$.

Reviewing of Integrated Assessment of the Impacts of Climate Change and Sea-Level Rise on Agricultural Sector (기후변화·해수면 상승에 따른 농업부문 통합평가 사례연구 비교분석 및 개선방안)

  • Ahn, SoEun;Oh, SeoYun
    • Journal of Climate Change Research
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    • v.7 no.3
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    • pp.299-314
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    • 2016
  • The aim of this paper is to review integrated assessment studies conducted to address the impacts of climate change sea-level rise on agricultural sector and to derive suggestions for improving the integrated assessment process to assist decision-makers in establishing climate change adaptation policy. We collect integrated assessment studies which are based on the impact-pathway analysis, compare their step-by-step procedures and identify main factors addressed in each step. The assessment process is typically carried out in the sequence of scenario development, determination of assessment scope, physical impact assessment, economic analysis and synthesis of the outcomes from each step. We identify two types of integrated assessment. The first one examines the impacts of changes in temperature and/or precipitation on the crop-cultivation patterns and/or agricultural productivity and resulting economic effects on agricultural sector. The other investigates the impacts of sea-level rise on land use/coverage and resulting economic damages in terms of land-value loss where the effects on agriculture is treated as one sector among others. To enhance integrated assessment, we suggest that 1) scenarios need to incorporate the effects of climate change and sea-level rise simultaneously, 2) scope of the assessment needs to be extended to include ecosystem services as well as crop production, 3) social and cultural aspects need to be considered in addition to economic analysis, and 4) synthesis of the outcomes from each step should be able to combine quantitative as well as qualitative information.