• International conference on construction engineering and project management
• /
• 2007.03a
• /
• pp.694-703
• /
• 2007

This paper stems from information accumulated from extensive literature review, a pilot study and a formal interview for an ongoing research on housing privatization implemented by the government-linked companies in Malaysia. Through extensive literature review, issues pertaining to housing privatisation were identified. Expectations of public sector, outcome of housing privatisation and factors influencing such outcome have also been tentatively confirmed through pilot study and an ongoing postal survey. A formal interview with a project director of independent Public-private partnerships (PPP) organization in UK has also inspired some useful lessons for the local housing industry. Different modalities of PPP from various countries show that while housing privatization pose several problems, mitigating them is possible through appropriate strategies.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2009.04a
• /
• pp.3-6
• /
• 2009

변압기 무선부하감시 시스템에서 30분 간격으로 계측된 부하 데이터와 GIS-AMR 데이터웨어하우스로부터 변압기 속성 및 공간적 특징을 추출하여 정확한 변압기의 부하 패턴을 예측하기 위한 시공간 패턴 마이닝 기법을 적용하였다.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2009.04a
• /
• pp.360-363
• /
• 2009

실시간으로 심장 질환의 진단을 위하여 심전도 신호의 스트림 처리 및 데이터 마이닝 프로토타입을 구현하였다. 신체부착형 센서로부터 전송되는 심전도를 전처리하여 심장질환의 진단 지표를 추출하였고 실시간 진단을 위한 출현 패턴 마이닝 알고리즘을 구현 및 적용하였다. 이를 기반으로 심혈관계 질환에 대하여 실시간 자동 진단 및 예측이 가능한 생체 신호 스트림 데이터 처리 분석 프로토타입을 구현하였다.

• ETRI Journal
• /
• v.45 no.2
• /
• pp.329-337
• /
• 2023

For safe last-mile autonomous robot delivery services in complex environments, rapid and accurate collision prediction and detection is vital. This study proposes a suitable neural network model that relies on multiple navigation sensors. A light detection and ranging technique is used to measure the relative distances to potential collision obstacles along the robot's path of motion, and an accelerometer is used to detect impacts. The proposed method tightly couples relative distance and acceleration time-series data in a complementary fashion to minimize errors. A long short-term memory, fully connected layer, and SoftMax function are integrated to train and classify the rapidly changing collision countermeasure state during robot motion. Simulation results show that the proposed method effectively performs collision prediction and detection for various obstacles.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2011.04a
• /
• pp.1104-1107
• /
• 2011

경동맥 내중막 두께는 심혈관계 질환의 위험인자와 상관성이 높으므로 경동맥 내중막 영상 분석을 통해 심혈관계 질환의 1차 검진 방법으로 사용이 가능하다. 이 논문에서는 내중막 영상에서 이상지질혈증의 진단지표가 될 수 있는 특징벡터 추출 방법을 제안하였으며, 패턴기반, 함수기반의 분류모델 생성과 평가를 통해 추출된 진단 지표가 이상지질혈증 분류에 적합함을 검증하였다.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2008.11a
• /
• pp.763-765
• /
• 2008

최근 물류가 취급되는 발착장에서는 업무효율을 높이기 위해 RFID 시스템을 구축하여 물류의 발착업무를 자동으로 수행하는 사례가 늘고 있다. 본 고는 우편집중국 발착장에 900MHz 대역의 RFID 시스템을 구축하기에 앞서, 시스템을 구성하는 주요 장비의 기능 및 성능을 사전에 검증하고 대상장비의 신뢰성을 제고하고 시간과 노력 및 비용을 줄이기 위해 BMT 를 실시한 내용을 기술한 것이다. BMT 의 주요 항목으로는, RFID 고정형 리더의 전파간섭시험, 주파수 호핑시험, 롤파렛 인식시험 등이었으며, 해당 장비의 기능 및 성능을 기술적으로 검증할 수 있었다.

• Korean Journal of Health Education and Promotion
• /
• v.24 no.5
• /
• pp.23-37
• /
• 2007

Background: Even though cervical cancer poses a significant global cancer burden, successful implementations for early detection offer an opportunity to prevent deaths and reduce the cancer burden. In Korea, cervical cancer is the most prevalent type of cancer among adult women, but it is one of the few cancers in which a consensus-approved screening test exists for early diagnosis, Pap test, that can be combined with highly efficacious treatment regimens for early-stage disease. Purpose: This study was carried out to identify the cognitive-behavioral factors associated with cervical cancer screening behavior among adult women, aged 40 to 59, and to develop tailored messages and to evaluate the effectiveness of stage-matched educational program. Method: A total of 283 women who aged 40 years or older was recruited in Seoul, from September, 1st to November, 14th, 2003. The intervention group (N=162) and the control group (N=121) were selected from five sub-districts in Seocho-gu, Seoul. Building on the TTM, a quasi-experimental study was conducted to test the effectiveness of stages-matched intervention addressed at the five stages of cervical cancer screening behavior. Women in the intervention group were randomly assigned to one of two conditions, internet or postal services. Results: In our results, 88.9% of participants had received a Pap test at least once in their life-time, and 65.4% had got it in the past two years. With regard to cognitive-behavioral factors, the stages-matched educational program increased attitude and process of change for cervical cancer screening. The percentage changed was the largest in maintenance stage. With regard to delivery methods for tailored messages, the print materials were more effective at increasing screening adherence than the e-mail. Whereas the postal service group showed remarkable the change of behavior stage, the internet service group did not. Also it was not shown any difference of the satisfaction with stages-matched educational program between internet and postal service groups. Conclusion: This study suggested that cervical cancer screening behavior could be changed by tailored messages which had developed with cognitive-behavioral factors. The stages-matched educational program was effective to promote the screening adherence for cervical cancer.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.19 no.1
• /
• pp.75-84
• /
• 2018

Increasing the operation rate of components and stabilizing the operation through timely management of the core parts are crucial for improving the efficiency of the railroad maintenance industry. The demand for diagnosis technology to assess the condition of rolling stock components, which employs history management and automated big data analysis, has increased to satisfy both aspects of increasing reliability and reducing the maintenance cost of the core components to cope with the trend of rapid maintenance. This study developed a big data platform-based system to manage the rolling stock component condition to acquire, process, and analyze the big data generated at onboard and wayside devices of railroad cars in real time. The system can monitor the conditions of the railroad car component and system resources in real time. The study also proposed a machine learning technique that enabled the distributed and parallel processing of the acquired big data and automatic component fault diagnosis. The test, which used the virtual instance generation system of the Amazon Web Service, proved that the algorithm applying the distributed and parallel technology decreased the runtime and confirmed the fault diagnosis model utilizing the random forest machine learning for predicting the condition of the bearing and wheel parts with 83% accuracy.

• International Commerce and Information Review
• /
• v.18 no.2
• /
• pp.27-51
• /
• 2016

The purpose of this paper is to examine correlations between the facilitating factors of the B2C e-commerce and the online shopping and the overseas direct purchase for the purpose of suggesting the successful logistics operational strategies for the domestic parcel delivery service companies. This paper conducts wide literature reviews and empirical analyses on relationships between the facilitating factors of B2C e-commerce and the online shopping and the overseas direct purchase in B2C e-commerce. We built two regression equations that dependable variables are the turnover of online shopping and the amount of imports by international postal logistics services respectively. The former equation's estimation results show that all the independable variables are affecting the dependable variable in the long-term jointly. And, the results show that the change of the turnover of online shopping is affected not only by the change of the usage count of a credit card and the real GDP, but also by the change of the error-correction variable. The latter equation's estimation results show that all the independable variables are affecting the dependable variable in the long-term jointly. Futhermore, the results show that the change of the amount of imports by international postal logistics services is affected not only by the change of the usage count of a credit card, the exchange rate and the internet protocol IPv4, but also by the change of the error-correction variable. Based on these research results, a high advanced strategic approach for optimum parcel delivery services is highly required.

• The Journal of Society for e-Business Studies
• /
• v.15 no.2
• /
• pp.93-105
• /
• 2010

Address and location information is gaining importance as a channel between business entities and customers. However, as the new address scheme, which is based on street name and building number, is deployed, various problems occurred in the areas of postal service, logistics and management of customer information. And therefore it is necessary to make plans for integration and application of address information and location information. In this study, we clearly identify the problems when the governments and companies manage the address and location information under the circumstances of new address system. And we suggest improvement plans from the viewpoint of code scheme and database linkage.