• International conference on construction engineering and project management
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• 2015.10a
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• pp.723-727
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• 2015

Building energy use estimation relies on building characteristics, its energy systems, occupants, and weather. Energy estimation of new buildings is considerably an easy task when compared to modeling existing buildings as they require calibration with actual data. Particularly, when energy estimation of existing building stock is warranted at a city-scale, the problem is exacerbated owing to lack of construction drawings and other engineering specifications. However, as collection of buildings and other infrastructure constitute cities, such predictions are a necessary component of developing and maintaining sustainable cities. This paper uses Artificial Neural Network techniques to predict electricity consumption for residential buildings situated in the City of Gainesville, Florida. With the use of 32,813 samples of data vectors that comprise of building floor area, built year, number of stories, and range of monthly energy consumption, this paper extends the prediction to environmental impact assessment of electricity usage at the urban-scale. Among others, one of the applications of the proposed model discussed in this paper is the study of urban scale Life Cycle Assessment, and other decisions related to creating sustainable cities.

• Journal of Korean Elementary Science Education
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• v.26 no.3
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• pp.267-275
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• 2007

The purpose of this study is to estimate the ability of inquiry performance for students gifted in science in elementary school. 56 sixth graders were included in this study. Initially, a question 'How does the dust effect on human health?' was posed to students. Then, an assessment framework for analysis of the inquiry report was developed. It is composed of 5 domains: data collection, prediction, the inquiry process, results, conclusion and presentation. The findings reveal that the students achieved high scores in the domain of 'data collection' and followed by prediction, inquiry process, results, conclusion and presentation. The results of our study are as follows : first, in spite of high scores obtained in basic inquiries such as data collection, students needed to improve their skills in prediction, the inquiry process, results, conclusion and presentation. Second, the reason why students were outstanding in data collection is that they have improved their ability to handle data in a know-ledge-based information society. Third, even though students were good at citing and applying some information, they didn't fully understand the meaning of data and exhibited weaknesses in arguing their own opinions.

• International Journal of CAD/CAM
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• v.6 no.1
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• pp.9-17
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• 2006

Performing inspections for Hull Condition Monitoring and Assessment as stipulated in IACS unified requirements and IMO's Condition Assessment Scheme (CAS) IMO Resolution MEPC.94(46), 2001, Condition Assessment Scheme, IMO Resolution MEPC.111(50), 2003, Amendments to regulation 13G, addition of new regulation 13H involves a huge amount of measurement data to be collected, processed, analysed and maintained. Information to be recorded consists of thickness measurements and visual assessment of coating and cracks. The amount of data and increasing requirements with respect to condition assessment demand efficient computer support. Currently, due to the lack of standardization for this kind of data, the thickness measurements are recorded manually on ship drawings or tables. In this form, handling of the measurements is tedious and error-prone and assessment is difficult. Data reporting and analysis takes a long time, leading to some repairs being performed only at the next docking of the ship or making an additional docking necessary. The recently started ED funded project CAS addresses this topic and develops-as a first step-a data model for Hull Condition Monitoring and Assessment (HCMA) based on XML-technology. The model includes simple geometry representation to facilitate a graphically supported data collection as well as an easy visualisation of the measurement results. In order to ensure compatibility with the current way of working, the content of the data model is strictly confined to the requirements of the measurement process. Appropriate data interfaces to classification software will enable rapid assessment by the classification societies, thus improving the process in terms of time and cost savings. In particular, decision-making can be done while the ship is still in the dock for maintenance.

• Journal of the Korean Society for information Management
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• v.16 no.4
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• pp.7-36
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• 1999

In this paper, we have studied the technical contribution of internet as a computer mediated communication(CMC) tool for collection management. A new communication process is appearing due to the development of information technology and telecommunications technology which enable users to have an access to information without the help of librarian. Also, internet makes collection management possible in the absence of vendors. This study found out that internet reinforces the traditional functions of collection management and enables librarians to better perform their roles. The future library manager should become actively involved in the development of technology in order to manage resources of internet focusing on the needs of user. Also, we have concluded that collection management should be modernized and transformed with its emphasis on the new evaluation method and assessment of quality when offering resources of internet in the communication process using computers.

• Korean Journal of Clinical Laboratory Science
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• v.51 no.4
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• pp.495-503
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• 2019

This study explored the method of determining the appropriate size of the workforce according to the assessment of the workload of medical technologists (also called medical and clinical laboratory technologists, and medical and clinical laboratory scientists) in order to present a standard production model for the appropriate manpower in blood collection rooms. The eleven university hospitals selected for this study had between 600 and 2,000 beds. The 14-steps standard blood collection time was 4 minutes and 8 seconds for the outpatients aged between 20 to 60 years old (57%) except for children and the elderly (43%). Assuming that there were 8 hours per day for mechanically collecting blood, the maximum number of blood donations by one clinical laboratory scientist was analyzed to be 100 cases. In conclusion, it is appropriate to have fewer than 100 cases of daily blood collection by a medical technologist engaged in blood collection. Since the proper number of blood collection workers (100% of blood collection work)=the number of annual working days/(one day's work hours/time per case)×the number of working days per year, then the proper number of blood collection workers (one day's work hours)=the number of working days per year/100×the number of working days).

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.30 no.4
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• pp.255-274
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• 2019

In this study, we analyzed Circulation data of Law library in the S university for one year in 2018 and analyzed whether the Library holdings are actually used for education and research. First of all, this study analyzed user patterns by analyzing subjects, languages, and publication years for books that were circulated for one year from the ALMA system which is an S university library system. In addition, we analyzed how the current library holdings were used or cited in course syllabi and research papers written by members in S university. The results from this study can be used as an important basic data for effective collection development.

• The Korean Journal of Emergency Medical Services
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• v.23 no.2
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• pp.75-86
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• 2019

Purpose: It is crucial that 119 emergency medical technician (EMT) have adequate knowledge regarding forensic science. This study aimed to assess the forensic knowledge of EMTs in the Republic of Korea. Methods: This study was conducted on EMTs of five fire stations in D metropolitan city between August 6 and August 13, 2018. A questionnaire consisting of items on crime-related incident recognition (i.e., mechanical asphyxiation, trauma, sex crimes, and child abuse), forensic evidence management (i.e., evidence collection, preservation, and recording) was administered to the participants. Finally, 119 questionnaires were analyzed. Results: The ratio of correct answers for crime-related incidents recognition was 55.82%, which was lower than that for forensic evidence management(84.5%). In particular, the scores for the type of neck compression(16.5%) and wound assessment(44.0%) were low. The percentage of correct answers for forensic evidence management was 78.4% for evidence collection, 84.4% for evidence preservation, and 90.6% for evidence recording. Previous forensic education experience was not a significant variable. Conclusion: Specific and practical forensic science education on perception of crime-related incident, including asphyxia and wound identification, and forensic evidence collection is needed.

• Journal of the Korean Society of Safety
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• v.26 no.4
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• pp.96-101
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• 2011

In previous studies, a system was developed for classifying items of uninsured cost and for generating factors and formulas by item for calculating accident loss costs. However, the loss cost of stopped production was not considered when the system was being developed. In addition, the system which was developed in previous studies had problems such as input error and data collection, owing to numerous input items. Therefore, this study developed a Revised system which considers the loss cost of stopped production, and a Simple system for improving the problems in input errors and data collection. In this study, unquantifiable factors were not considered. Further study that takes these factors into consideration is necessary.

• Environmental Engineering Research
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• v.16 no.2
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• pp.69-79
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• 2011

Rapid population growth and land use changes have severely degraded streams across the United States. In response, there has been a surge in the number of stream restoration projects, including stream restoration for mitigation purposes. Currently, most projects do not include evaluation and monitoring, which are critical in the success of stream restoration projects. The goal of this study is to review the current status of assessment methodologies and restoration approaches for streams in Virginia, with the aim of assisting the restoration community in making sound decisions. As part of the study, stream restoration projects data from a project in Fairfax County, Virginia was assessed. This review revealed that the stream assessment methodologies currently applied to restoration are visuallybased and do not include biological data collection and/or a method to incorporate watershed information. It was found from the case study that out of the twenty nine restoration projects that had occurred between 1995 and 2003 in Fairfax County, nineteen projects reported bank stabilization as a goal or the only goal, indicating an emphasis on a single physical component rather than on the overall ecological integrity of streams. It also turned out that only seven projects conducted any level of monitoring as part of the restoration, confirming the lack of evaluation and monitoring. However, Fairfax County has recently improved its stream restoration practices by developing and incorporating watershed management plans. This now provides one of the better cases that might be looked upon by stakeholders when planning future stream restoration projects.

• Journal of the Korean Institute of Gas
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• v.10 no.1 s.30
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• pp.13-18
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• 2006

Chemical plants should perform Quantitative Risk Assessment that evaluates types of accident, frequency and damage which can happen through using the hazardous equipment and the hazardous materials for preventing and preparing industrial disasters. It is necessary that Chemical plants should include the reliability database which efficiently evaluate the Quantitative Risk Assessment. So in this study, we suggest a which methodology applies Quantitative Risk Assessment on the basis of the constructed data to imply the reliability of industrial facilities and equipment, collection of reliability data, system analysis and development of software.