• Title/Summary/Keyword: Overdue

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Peak Distribution of Nonlinear Random Waves of Finite Bandwidth (유한한 Spectral Bandwidth를 갖는 Nonlinear Random Waves의 추계학적 성질)

  • Cho, Yong-Jun
    • Journal of Korean Society of Coastal and Ocean Engineers
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    • v.5 no.2
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    • pp.58-65
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    • 1993
  • The theoretical treatment of statistical properties and distribution relevant to nonlinear random wave field of moderate bandwidth such as peak and trough of wave elevation is an overdue task hampered by the complicated form of nonlinear random waves. In this study, the extreme distribution of nonlinear random waves is derived based on the simplified version of Longuet-Higgins' wave model. It is shown that the band width of wave spectrum has a significant influence on these extreme distribution and the significant wave height is getting larger in an increasing manner as the nonlinearity is getting profound.

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The credit market of Russia: the assessment of condition, the development of tendency

  • Vyborova, E.N.
    • East Asian Journal of Business Economics (EAJBE)
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    • v.5 no.2
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    • pp.12-37
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    • 2017
  • The analysis of results of the market of loans granted to legal entities, the physical persons are provided in the work. The assessment of condition of industry segments of the market of the credits of legal entities is carried. The results of assessment of the market of the credits of physical persons by types of the granted loans are provided. The correlation and regression analysis on the industry segments of crediting of legal entities is carried out. The dynamics of development of debt on the industry segments of crediting is determined. The results show that: Hypothesis 1. The amount of the issued credits to the legal entities steadily in-creases on all industries of economy. Communication between the industry segments of market very high. Hypothesis 2. Crediting of physical persons is characterized by relative stability. The structure of overdue debt repeats the structure of the issued credits to the physical persons.

Student Academic Performance, Dropout Decisions and Loan Defaults: Evidence from the Government College Loan Program

  • HAN, SUNG MIN
    • KDI Journal of Economic Policy
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    • v.38 no.1
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    • pp.71-91
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    • 2016
  • This paper examines the effect of the government college loan program in Korea on student academic performance, dropout decisions and loan defaults. While fairness in educational opportunities has been guaranteed to some degree through this program, which started in 2009, there has been a great deal of controversy over its effectiveness. Empirical findings suggest that recipients of general student loan (GSL) lower academic performance than those who received income contingent loan (ICL). Moreover, for students attending private universities, a higher number of loans received increased the probability of a dropout decision, and students from middle-income households had a higher probability of being overdue than students from low-income households. These findings indicate that expanding the ICL program within the allowance of the government budget is necessary. Furthermore, providing opportunities for students to find various jobs and introducing a rating system for defaulters are two necessary tasks.

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Estimating the Determinants of Loan Amount of Housing Mortgage : A Panel Data Model Approach (주택 담보 가계 대출액 결정요인 추정에 관한 패널 데이터 모형 연구)

  • Kim, Hee-Cheul;Shin, Hyun-Cheul
    • Journal of the Korea Society of Computer and Information
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    • v.16 no.7
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    • pp.183-190
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    • 2011
  • Loan amount of housing mortgage is composed of various factors. This study paper studies focuses on estimating the determinants of a loan amount of housing mortgage. The region for analysis consist of seven groups, that is, metropolitan city (such as Busan, Daegu, Incheon, Gwangiu, Daejeon, Ulsan.) and Seoul. Analyzing period be formed over a 45 time points(2007. 01.~ 2010. 09). In this paper the dependent variable setting up loan amount of housing mortgage, explanatory(independent) variables are composed of the consumer price index, unemployment rate, average monthly household income per household, expenditure rate of health care, composite stock price index and overdue rate of household loans for commercial bank. In looking at the factors which determine loan amount of housing mortgage, evidence was produced supporting the hypothesis that there is a significant positive relationship between the consumer price index and unemployment rate. The study also produced evidence supporting the view that there is a significant negative relationship between expenditure rate of health care. The study found that average monthly household income per household, expenditure, composite stock price index and overdue rate of household loans for commercial bank were not significant variables. The implications of these findings are discussed for further research.

Comparative Analysis of Survival Period by Technological Capabilities of Innovative SMEs in the Service Industry (기술수준에 따른 서비스업 혁신 중소기업의 생존기간 비교분석)

  • Lee, Jun-won
    • Korean small business review
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    • v.43 no.3
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    • pp.1-20
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    • 2021
  • The survival period according to technological capability was analyzed for about 22,500 innovative SMEs in the service industry. The survival period was defined as the occurrence of overdue and default, and the technological capability was divided into two clusters. As a result of estimating the survival period according to technological capability through Kaplan-Meier analysis, it was confirmed that the estimated survival period of T1-T4 grade service innovative SMEs was significantly greater in both overdue and default. As a result of the analysis of the Cox proportional hazard model applying the control variable, it was confirmed that the higher technological capability, the lower the risk in the group of start-up companies. However, in the group of non-start-up companies the technological capability did not significantly affect the survival period, and the influence of the variables related to the size of the company was found to increase. Therefore, the technological capability is meaningful as additional information that has a significant effect on the survival period of innovative SMEs in the start-up companies group of service industry. In addition, it was concluded that it is necessary to reflect the technological capability when establishing the SME support and promotion policy of the start-up companies group in the service industry.

Designing a Blockchain-based Smart Contract for Seafarer Wage Payment (블록체인 기반 선원 임금지불을 위한 스마트 컨트랙트 설계)

  • Yoo, Sang-Lok;Kim, Kwang-Il;Ahn, Jang-Young
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.27 no.7
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    • pp.1038-1043
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    • 2021
  • Guaranteed seafarer wage payment is essential to ensure a stable supply of seafarers. However, disputes over non-payment of wages to seafarers often occur. In this study, an automatic wage payment system was designed using a blockchain-based smart contract to resolve the problem of seafarers' wage arrears. The designed system consists of an information register, a matching processing unit, a review rating management unit, and wage remittance before deploying smart contracts. The matching process was designed to send an automatic notification to seafarers and shipowners if the sum of the weight of the four variables, namely wages, ship type/fishery, position, and license, exceeded a pre-defined threshold. In addition, a review rating management system, based on a combination of mean and median, was presented to serve as a medium to mutually fulfill the normal working conditions. The smart contract automatically fulfills the labor contract between the parties without an intermediary. This system will naturally resolve problems such as fraudulent advance payment to seafarers, embezzlement by unregistered employment agencies, overdue wages, and forgery of seafarers' books. If this system design is commercialized and institutionally activated, it is expected that stable wages will be guaranteed to seafarers, and in turn, the difficulties in human resources supply will be solved. We plan to test it in a local environment for further developing this system.

Ontology for estimating excavation duration for smart construction of hard rock tunnel projects under resource constraint

  • Yang, Shuhan;Ren, Zhihao;Kim, Jung In
    • International conference on construction engineering and project management
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    • 2022.06a
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    • pp.222-229
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    • 2022
  • Although stochastic programming and feedback control approaches could efficiently mitigate the overdue risks caused by inherent uncertainties in ground conditions, the lack of formal representations of planners' rationales for resource allocation still prevents planners from applying these approaches due to the inability to consider comprehensive resource allocation policies for hard rock tunnel projects. To overcome the limitations, the authors developed an ontology that represents the project duration estimation rationales, considering the impacts of ground conditions, excavation methods, project states, resources (i.e., given equipment fleet), and resource allocation policies (RAPs). This ontology consists of 5 main classes with 22 subclasses. It enables planners to explicitly and comprehensively represent the necessary information to rapidly and consistently estimate the excavation durations during construction. 10 rule sets (i.e., policies) are considered and categorized into two types: non-progress-related and progress-related policies. In order to provide simplified information about the remaining durations of phases for progress-related policies, the ontology also represents encoding principles. The estimation of excavation schedules is carried out based on a hypothetical example considering two types of policies. The estimation results reveal the feasibility, potential for flexibility, and comprehensiveness of the developed ontology. Further research to improve the duration estimation methodology is warranted.

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A Survey Research on the Circulation System for Students of College and University Libraries in Korea (한국 대학도서관 학생 관외대출제도에 관한 조사연구)

  • 손정표
    • Journal of Korean Library and Information Science Society
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    • v.9
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    • pp.145-178
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    • 1982
  • This is a survey of the circulation system for students in college & university libraries in Korea. The survey used a questionnaire with 14 questions on 6 items concerning the various aspects of the circulation system in 82 libraries responded among 85 college & university libraries as of 1981. The survey results discovered many problems needing improvement. The following list describes the measures needed to better the problems found in the survey results of 82 libraries. 1. 67.1% of the libraries shows the restricted volumes loaning less than 2 volumes, and 81.7% of the libraries shows the loan periods less than a week, but it is desirable to extend them, when comparing with the size of holdings and the higher educational system at present. 2. It is desirable that the number of a staff in charge of circulation works places one person per average 75-85 books borrowed a day, when calculating an adequate number of the staff on the basis of the correlation between books borrowed a day and number of the staff. 3. 59.8% of the libraries does not have reserved book system, but it is desirable to take it for increasing reliability about the circulation services. 4. More than half of the libraries takes a method of a public announcement on a notice-board for claims of overdue books, but it is desirable to send a claim notice to the individual in viewpoint of keeping their privacies. 5. More than half of the libraries to take the open access system uses a call slip, but it is desirable not to use it in viewpoint of simplicity and economical efficiency of the charging system, because of demanding the unnecessary records. 6. Most of libraries shows many problems of the charging system, especially in factors of the records and filing system, but it is desirable to improve it on the basis of 4 basic factors of the charging system, that is, simplicity, economical efficiency, promptitude and accuracy.

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A Study on the Corrosion of Corrugated Steel Structures in Buried Environment (매설 환경에 따른 파형강 구조물의 부식 특성 연구)

  • Park, Yeon-Soo;Kim, Byong-Ha;Han, Sang-Ho;Park, Sun-Joon;Suh, Byoung-Chal
    • Journal of the Korea institute for structural maintenance and inspection
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    • v.7 no.1
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    • pp.147-156
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    • 2003
  • In this research, multiple corrosion factors of buried environments were measured in order to establish a formula for the corrosion character of corrugated steel structures in domestic environments. By substituting corrosion factors for each predicting formula, the durable lifetime was measured, and the measured lifetime was compared with the estimated lifetime by applying existing thickness-measuring techniques. A new usage standard was proposed with these results, in order to create the conclusion below. There are known differences in the soil factors used as variables in estimating the duration caused by the seasonal effects of rainfall and temperature. Comparing the durable lifetime estimated by each predicting formula, the findings show that the California technique is conservative. This study demonstrates that the error range of the AISI technique, which is mostly used as a duration technique, is a very narrow predicting technique as compared with many other countries. Considering that there is on average, a 13% error margin in this study, a proposed safety factor of 0.87 could be used to more accurately predict the duration. The laying time in the California technique is not longer than the whole durability, and as a result, this error margin exists. It is concluded that this study on the open area has been overdue. Based on these findings, it's proposed that this error margin should be applied to the domestic environment through periodic observation, in order to establish the predicting techniques of durable lifetime.

Developing the high risk group predictive model for student direct loan default using data mining (데이터마이닝을 이용한 학자금 대출 부실 고위험군 예측모형 개발)

  • Choi, Jae-Seok;Han, Jun-Tae;Kim, Myeon-Jung;Jeong, Jina
    • Journal of the Korean Data and Information Science Society
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    • v.26 no.6
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    • pp.1417-1426
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    • 2015
  • We develop the high risk group predictive model for loan default by utilizing the direct loan data from 2012 to 2014 of the Korea Student Aid Foundation. We perform the decision tree analysis using the data mining methodology and use SAS Enterprise Miner 13.2. As a result of this model, subject types were classified into 25 types. This study shows that the major influencing factors for the loan default are household income, national grant, age, overdue record, level of schooling, field of study, monthly repayment. The high risk group predictive model in this study will be the basis for segmented management service for preventing loan default.