• Title/Summary/Keyword: Bad

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Review of US Credit Counseling and Debtor Education Programs (미국의 신용불량예방 교육 및 상담 프로그램 고찰)

  • Lee, Eun-Hee
    • Korean Journal of Human Ecology
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    • v.18 no.1
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    • pp.123-136
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    • 2009
  • Debt and credit problems in Korea have been escalated during the past decade. The number of people with debt and credit problems is in its historic high. In May 2008, about 2.48 million debtors are officially classified as bad debtors and 7.20 million people have low credit scores. People with low credit scores are in disadvantageous situation in the financial market thus their financial transactions and activities are limited. In 2004, Korean government introduced various credit rehabilitation programs. However, most of these problems are remedial in nature and preventive programs such as credit counseling and debtor education are lacking. The purpose of this review is to examine US credit counseling and debtor education programs to obtain insights for preventive credit program developments in Korea. The review focused on programs offered through National Foundation for Credit Counseling, Jump Start, and Cooperative Extension Services from two large land grant Universities. From the program review suggestions and recommendations for educational contents, program and educator developments, and program quality control were discussed.

Assessment of Interruption Costs on the Industry Load through Using the Microscopic Method (미시적 방법을 이용한 산업체 수용가의 공급지장비용 함수(SCDF) 산정)

  • Kim, Yong-Ha;Lee, Pyong-Ho;Kim, Young-Gil;Sin, Hyung-Chul;Oh, Seok-Hyun;Woo, Sung-Min
    • Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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    • v.25 no.4
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    • pp.88-96
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    • 2011
  • This paper assesses interruption costs on the industry load through using the microscopic method. For assessment, the questionnaire was made on Korea Standard Industry Categorization which is composed of 28 type of industry Then, the survey was distributed to 1889 business in 12 area by staffs of KEPCO. The collected data is changed to the trustworthy data by using Bad Data Selection method and then the interruption costs of industry load was calculated by Tobit Regression which is tool analysing both collected data and the others.

A Case Study on Joint System Simulation Results Application to Rock Slope Design (절리계 모사결과의 암반사면설계 적용 사례)

  • Kim, Dong-Hee;Jung, Hyuk-Il;Kim, Seouk-Ki
    • Proceedings of the Korean Geotechical Society Conference
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    • 2005.10a
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    • pp.669-680
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    • 2005
  • It is very difficult to determine the failure block scale in great rock slopes. Especially, postulating entire slope domain as a failure block without attention to discontinuity trace lenth makes very confuse and difficult to design rock slopes. In this paper, we estimate realistic failure block scale using joint system simulation method and introduce the application procedures on rock slope analysis. Besides, presenting how joint characteristics measurement and statistical analysis results are applicated to slope stability analysis design flow.

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CDLint: A Cloud Service for Dynamic Analysis of JavaScript Code

  • Liu, Xiao;Woo, Gyun
    • Proceedings of the Korea Information Processing Society Conference
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    • 2017.04a
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    • pp.633-636
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    • 2017
  • This paper presents a cloud service called CDLint for checking and analyzing the Javascript code dynamically. The correctness of Javascript code is becoming more important since it can also run on the server side as well as the client side. There are several analysis systems for checking the bad code in JavaScript but they seem like have one or more weaknesses. CDLint is developed based on an existing work named DLint which is a powerful bad JavaScript checker. Compared with similar systems, CDLint shows the best performances with respect to the system extensibility, the freedom to use without installation, the automatic parsing of JavaScript code from website, and the environment configuration for JavaScript code checking.

A Neural Network Modulars for Real-time Detection of Bad Materials (불량소자의 검지를 위한 실시간 전송 뉴로 모률라)

  • Kim, Jong-Man;Kim, Won-Sop
    • Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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    • 2008.04c
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    • pp.54-57
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    • 2008
  • A new modular Lateral Information Propagation Networks can be implemented in a IC chip with the circuit VLSI technology for detection of bad materials. The proposed modular architecture is propagated the neural network through inter module connections. For such inter module connections, the host(computer or logic) mediates the exchange of information among modules. Also border nodes in each module have capacitors for temporarily retaining the information from outer modules. For detecting of Faulty Insulator, $4\;{\times}\;4$ neural network modules has been designed and simulation of interpolation with the designed networks has been done.

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Development of a Robotic Transplanter for Bedding Plants (I)-Development of the Machine Vision System of a Robotic Transplanter- (육묘용 로봇 이식기의 개발(I)-로봇 이식기의 기계시각 시스템의 개발-)

  • 류관희;이희환;김기영;황호준
    • Proceedings of the Korean Society for Agricultural Machinery Conference
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    • 1997.12a
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    • pp.392-400
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    • 1997
  • This study was conducted to develope the machine vision system of a robotic transplanter for bedding plants. Specific objectives of this study were 1) to get coordinates of the healthy seedlings except empty cells and bad seedlings in high-density plug tray, and 2) to get the angle of the leaves of the healthy seedlings to avoid damage to the seedlings by gripper. The results of this study are summarized as follows. (1) The machine vision system of a robotic transplanter was developed. (2) The success rates of detecting empty cell and bad seedlings in 72-cell and 128-cell plug trays were 98.8% and 94.9% respectively. (3) The success rates of calculating the angle of leaves in 72-cell and 128-cell plug trays were 93.5% and 91.0% respectively.

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A Study on a different Substance Detection system of Conveyer System(II) - Development of Intelligent Conveyer Belt Defect Detection system - (콘베이어 장치의 이물질 감지 장치에 관한 연구(II) - 지능형 콘베이어 벨트 손상 검출 시스템 개발 -)

  • 정양희;김이곤;배영철;김경민;유일현;이보희;강성준
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2000.10a
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    • pp.665-668
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    • 2000
  • This paper presents development of a different substance monitoring system base reliable detection between the conveyer belt and hopper used lot materials transport line of steel company. Conventional detection method of a piece of iron separation system is losed the confidence, because of the place with bad surroundings of measurement so much that materials Production line are completely exposed to dust, moisture and vibration. For the solution of this problem, we developed a different substance detection system using the acoustic emittion sensor and one chip microprocessor which is available for bad surroundings and inexpensive. The reliability of the system was estimated by experiment.

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A Study on the Substation Simulator for the State Estimation and the Bad Measuring Devices Detection (변전소 상태추정 및 고장 측정기기의 검정 시뮬레이터에 관한 연구)

  • Lee, H.J.;Wang, I.S.;Kim, Y.H.;Park, S.M.;Kang, H.J.
    • Proceedings of the KIEE Conference
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    • 2000.07a
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    • pp.116-118
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    • 2000
  • The modern power system including lots of measuring devices and controller is large and complex total information system. A Lot of data and system information are transmitted to operators, and analysing these information and system management is very important. Recently, GUI(Graphic Users Interface) is emphasized as a method that operators carry out their duties, effectively. In this paper. a simulator that can show state estimation and detection of bad measuring devices is introduced for domestic 154kV/22.9kV distribution substations. C language and Visual Basic is used for this simulator. and TCP/IP is adopted to consider connection with a Power system.

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Intelligent Air Quality Sensor System with Back Propagation Neural Network in Automobile

  • Lee, Seung-Chul;Chung, Wan-Young
    • 제어로봇시스템학회:학술대회논문집
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    • 2005.06a
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    • pp.468-471
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    • 2005
  • The Air Quality Sensor(AQS), located near the fresh air inlet, serves to reduce the amount of pollution entering the vehicle cabin through the HVAC(heating, ventilating, and air conditioning) system by sending a signal to close the fresh air inlet door/ventilation flap when the vehicle enters a high pollution area. One chip sensor module which include above two sensing elements, humidity sensor and bad odor sensor was developed for AQS (air quality sensor) in automobile. With this sensor module, PIC microcontroller was designed with back propagation neural network to reduce detecting error when the motor vehicles pass through the dense fog area. The signal from neural network was modified to control the inlet of automobile and display the result or alarm the situation. One chip microcontroller, Atmega128L (ATmega Ltd., USA) was used. For the control and display. And our developed system can intelligently detect the bad odor when the motor vehicles pass through the polluted air zone such as cattle farm.

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Development of Economic Education Program for Adolescent Consumers (청소년 소비자 경제교육 프로그램 평가 및 개발)

  • Yoon Ji-Young;Joung Soon-Hee
    • Journal of Families and Better Life
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    • v.24 no.2 s.80
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    • pp.119-135
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    • 2006
  • Due to social problems related to the recently increased number of people with bad credit, the argument has been made that economic education should be started long before their actual social life. Likewise, teaching methods and the content of economic education are also being actively discussed. To induce economic understanding in reality and to educate healthy consumers, long-term economic programs should be developed and implemented for adolescents while they are still at school.