• Title/Summary/Keyword: Logistic Service

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Power Failure Sensitivity Analysis via Grouped L1/2 Sparsity Constrained Logistic Regression

  • Li, Baoshu;Zhou, Xin;Dong, Ping
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.15 no.8
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    • pp.3086-3101
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    • 2021
  • To supply precise marketing and differentiated service for the electric power service department, it is very important to predict the customers with high sensitivity of electric power failure. To solve this problem, we propose a novel grouped 𝑙1/2 sparsity constrained logistic regression method for sensitivity assessment of electric power failure. Different from the 𝑙1 norm and k-support norm, the proposed grouped 𝑙1/2 sparsity constrained logistic regression method simultaneously imposes the inter-class information and tighter approximation to the nonconvex 𝑙0 sparsity to exploit multiple correlated attributions for prediction. Firstly, the attributes or factors for predicting the customer sensitivity of power failure are selected from customer sheets, such as customer information, electric consuming information, electrical bill, 95598 work sheet, power failure events, etc. Secondly, all these samples with attributes are clustered into several categories, and samples in the same category are assumed to be sharing similar properties. Then, 𝑙1/2 norm constrained logistic regression model is built to predict the customer's sensitivity of power failure. Alternating direction of multipliers (ADMM) algorithm is finally employed to solve the problem by splitting it into several sub-problems effectively. Experimental results on power electrical dataset with about one million customer data from a province validate that the proposed method has a good prediction accuracy.

Modeling Age-specific Cancer Incidences Using Logistic Growth Equations: Implications for Data Collection

  • Shen, Xing-Rong;Feng, Rui;Chai, Jing;Cheng, Jing;Wang, De-Bin
    • Asian Pacific Journal of Cancer Prevention
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    • v.15 no.22
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    • pp.9731-9737
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    • 2014
  • Large scale secular registry or surveillance systems have been accumulating vast data that allow mathematical modeling of cancer incidence and mortality rates. Most contemporary models in this regard use time series and APC (age-period-cohort) methods and focus primarily on predicting or analyzing cancer epidemiology with little attention being paid to implications for designing cancer registry, surveillance or evaluation initiatives. This research models age-specific cancer incidence rates using logistic growth equations and explores their performance under different scenarios of data completeness in the hope of deriving clues for reshaping relevant data collection. The study used China Cancer Registry Report 2012 as the data source. It employed 3-parameter logistic growth equations and modeled the age-specific incidence rates of all and the top 10 cancers presented in the registry report. The study performed 3 types of modeling, namely full age-span by fitting, multiple 5-year-segment fitting and single-segment fitting. Measurement of model performance adopted adjusted goodness of fit that combines sum of squred residuals and relative errors. Both model simulation and performance evalation utilized self-developed algorithms programed using C# languade and MS Visual Studio 2008. For models built upon full age-span data, predicted age-specific cancer incidence rates fitted very well with observed values for most (except cervical and breast) cancers with estimated goodness of fit (Rs) being over 0.96. When a given cancer is concerned, the R valuae of the logistic growth model derived using observed data from urban residents was greater than or at least equal to that of the same model built on data from rural people. For models based on multiple-5-year-segment data, the Rs remained fairly high (over 0.89) until 3-fourths of the data segments were excluded. For models using a fixed length single-segment of observed data, the older the age covered by the corresponding data segment, the higher the resulting Rs. Logistic growth models describe age-specific incidence rates perfectly for most cancers and may be used to inform data collection for purposes of monitoring and analyzing cancer epidemic. Helped by appropriate logistic growth equations, the work vomume of contemporary data collection, e.g., cancer registry and surveilance systems, may be reduced substantially.

The Complex Characterization Analysis of the Risk Awareness Affecting an Accident Experience of Quick Service Workers (퀵서비스 종사자의 사고 경험에 영향을 미치는 안전의식의 복합적 특성 분석)

  • Rhee, Kyung Yong;Ahn, Sang Hyun;Kim, Ki Sik
    • Journal of the Korea Safety Management & Science
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    • v.15 no.4
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    • pp.145-152
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    • 2013
  • The purpose of this study was to investigate the effect of risk awareness on injury experience in quick delivery service workers. Risk awareness has complicate characteristics such as its level of worker and worker's decision about the level of other's risk perception. Data were collected by interview survey with structured questionnaire about injury experience, risk perception, work characteristics, and socio-demographic characteristics of quick delivery service workers by cross sectional survey design in 2012. The sample size was 120 respondent of quick delivery service workers. Statistical method for this study was hierarchical logistic regression method with 3 different models using socio-demographic characteristics and work characteristics and risk perception, etc. The difference between the level of risk perception of quick delivery service and other's was statistically significant effect on the experience of injury. Especially the higher the level of risk perception of quick delivery service workers is than other's, the lower the injury experience of quick delivery service worker is. The limitation of this study can be found in survey design. The future study for investigation of mechanism of the combined effect of risk perception of quick delivery service workers and others on injury experience.

Adaptive Control Scheme of Air Tanker Ground Waiting Time Based on a Multi-Server Queuing Model (다중서버 큐잉 모델을 이용한 공중급유기 지상 대기시간 적응적 제어 기법)

  • Sohn, Yong-Sik;Chung, Jong-Moon
    • Journal of Internet Computing and Services
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    • v.23 no.5
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    • pp.33-46
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    • 2022
  • This paper, in order to minimize the ground waiting time of an Air tanker, the queuing theory, that is, a queue that calculates the waiting time under single-server and multi-server situations, was used in the study. Since the national budget and resources are limited, the unlimited increase of the logistics support service team is limited. Therefore, the number of logistic support service teams that can adaptively control the ground waiting time according to the wartime preparation stage or war environment was calculated. The results of this study provide a stipulated standard for calculating the optimal number of air tanker logistic support service teams of the Air Force, providing a basis for the logistical commander to assign logistic support service teams to each stage from peacetime to wartime.

A study on the forecast of Paper Industry and Logistic Innovation Activity (제지산업 수급 전망 및 물류 공동화 방안에 관한 사례 연구)

  • Choi, Chun-Ho;Choi, Jong-Su;Kim, Ha-Gon;Kim, Bu-Yeol;Yu, Kang-Cheol;Kang, Kyung-Sik
    • Journal of the Korea Safety Management & Science
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    • v.12 no.3
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    • pp.183-188
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    • 2010
  • The recent market trend of demand and supply of domestic paper industry expected confusion in near future due to massive imports of low cost product because of suddenly emerging of China's mass productive equipment and capacity. Related domestic industry is deploying joint co-coperative partnership and logistic service, joint operations of transportation and distribution center and innovation activity for customer satisfaction. This paper tries to present a solution through analysis of related paper industry a case study.

Reflection of Pain in Cancer Patients Using a New Screening Tool for Psychological Distress

  • Oh, Seung-Taek;Lee, San;Lee, Hyeok;Chang, Myung Hee;Hong, Soojung;Choi, Won-Jung
    • Korean Journal of Psychosomatic Medicine
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    • v.25 no.1
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    • pp.56-62
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    • 2017
  • Objectives : The objective of this study was to investigate the relationship between psychological distress and pain in cancer patients. Methods : 249 patients with cancer who visited National Health Insurance Service Ilsan Hospital between April 2013 and March 2014 were evaluated with National Cancer Center Psychological Symptom Inventory(NCC-PSI) which consisted of Modified Distress Thermometer(MDT) and Modified Impact Thermometer(MIT). Each scale was divided into 3 subscales targeting separate symptoms: insomnia, anxiety, and depression. Psychological distress was defined as positive for those who scored above the cutoff values in at least one of all six subscales. The Numeric Rating Scale for Pain(NRS-Pain) was used to assess the subjective severity of pain. Logistic regression was performed to investigate the association between psychological distress and pain. Results : Univariate logistic regression analysis showed that pain, gender, compliance, and two subscale scores of Hospital Anxiety and Depression Scale(HADS) were significantly associated with psychological distress. Multivariate logistic regression analysis showed that pain and HADS anxiety subscale score maintained a statistically significant association with psychological distress adjusted for variables including age, gender, years of education, Eastern Cooperative Oncology Group performance status, cancer stage, Charlson Comorbidity Index, compliance, and HADS depression subscale score. One point increase in pain was 1.31 times more likely to cause psychological distress. In secondary analysis, pain was significantly associated with all subscales of NCC-PSI, except MIT-anxiety subscale. Conclusions : This study suggests that NCC-PSI, a screening tool for psychological distress, reflects pain. We recommend that physicians who treat cancer patients consider the examination of psychological distress which provides comprehensive evaluation of various factors regarding quality of life.

A Study on the Effects of Service Quality on Customer Satisfaction : Case of the Korean, Chinese and Foreigner (커피전문점의 서비스품질이 고객만족에 미치는 영향 연구 : 한국인, 중국인, 외국인(중국인 제외)을 대상으로)

  • Park, Sang-Kyu;Kang, Man-Su
    • Journal of the Korean Operations Research and Management Science Society
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    • v.40 no.2
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    • pp.79-93
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    • 2015
  • Today, consumer needs are diversified, continually changing and differentiated. Under the market conditions of unlimited competition to satisfy those needs, businesses focus on relationship-building with customers, as well as on quality of service. As interests in the coffee market rise, in these days, coffee culture diffusion and coffee franchise chain increase have been proceeding under the lead of the young people. This study aims to find the effects of service quality on customer (Korean, Chinese and Foreigner) satisfaction using logistic regression. The results of this study show somewhat different characteristics depending on the characteristics of country people. It is expected that this study can be very useful in regard to similar business.

Financial Supports of Government for Nonprofit Social Service Organizations in the United States (비영리 조직에 대한 정부재정지원에 영향을 미치는 요인 : 미국의 사례를 중심으로)

  • Rho, Yeon-Hee
    • Korean Journal of Social Welfare
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    • v.49
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    • pp.129-161
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    • 2002
  • This study explores whether there are differences in financial structure and governmental support between social service organizations and other nonprofit organizations. In addition, it analyzes what factors are related to governmental supports for both types of nonprofit organizations. Guided by the argument that specific areas where nonprofits primarily operate can explain a difference of relations between nonprofit organizations and funders, this study compares revenue sources and expenditures of social service organizations and other nonprofit organizations in the United States. Also, based on resource dependence theory and taking some important indexes from financial ratio analysis, this study also identifies factors that affect governmental supports for nonprofit organizations. The study sample consists of 10,690 organizations that reported tax form 990 in 1996. Binary logistic regression analysis was conducted for the study. The results show that social service organizations obtained more revenue from government than other nonprofit organizations. Also, logistic regression analysis suggests that revenue diversification and financial characteristics were significantly associated with governmental supports for nonprofit organizations in the United States.

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A study on railway logistic transportation efficiency through constructing roundabout route of the Kyung-Bu railroad (경부선 우회선로 구축을 통한 철도화물운송 효율화 방안 연구)

  • Kim, Jong-Tae;Choo, Jun-Sup;Moon, Dae-Seop;Yoo, Jae- Kyun;Lee, Jun;Oh, Seok-Moon
    • Proceedings of the KSR Conference
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    • 2008.11b
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    • pp.657-665
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    • 2008
  • The main transportation mode of long distance inter-city passenger trips is high-speed rail and the modal share of transportation has been changed profoundly since the KTX service has been started in the Kyung-Bu railroad transportation corridor in the day of 1 April, 2004. After an opening of KTX service in the second stage Kyung-Bu and Ho-Nam railroad transportation corridors, a capacity of incumbent railroads will be increased and operational environments of freight train will be improved. The purpose of this paper is to examine the impact of KTX service operation on the national logistics thoroughly. This paper establishes a deceptive scheme in the national railroad logistic transportation and a route operational strategy between the main origins and destinations efficiently considering the changes of the current freight transportation system in the future. We expect to achieve efficiency of logistic transportation in this paper through alternative routes for example Ho-Nam, Chang-Hang, Seo-Hae line.

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A Case Study of Untact Works in Logistic Service-related Worker in the Era of COVID-19 (코로나시대 물류 서비스 관련 분야 직장인의 언택트 업무 사례 연구)

  • Bae, Soo Hyun
    • KOREAN JOURNAL OF PACKAGING SCIENCE & TECHNOLOGY
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    • v.26 no.3
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    • pp.147-154
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    • 2020
  • The purpose of this study was to research the status of logistic service-related workers about untact works by case study in the Era of COVID-19. An experimental design was used by case analysis of interviews with ten office workers from May to June 2020. The results of this research were divided into three categories: work environment, work management and work effect. First, teleworking has a significantly positive influence on business efficiency about work environment. ZOOM, One drive, Skype, Chatbot, Microsoft Teams and Remote view are used as collaborative applications. Second, work instructions in documents are needed such as e-mail and messenger using information and communication technology about work management. Third, the strong points of teleworking are both high work efficiency and job satisfaction about work effect. The weak points of teleworking are both very low-technology and misunderstanding about work effect. The result offer some insights into the case study of logistic service-related workers about untact works. Based on the results, the implications and the limitations of this study were discussed.