• Proceedings of the KSR Conference
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• 2008.06a
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• pp.1505-1510
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• 2008

A railway is a complex system integrated with a lot of technical elements such as trains, track facilities, human factors, operation & control and maintenance. As a mass transportation system, a railway could contain potential risks that may result in a high death rate and property losses. Accordingly, Railroad Safety Technology R&D Corps. is adopting the plan of the construction of Railway Safety Test Facilities as a part of the Railway Total Safety Project to enhance the railway safety, and carrying out researches on effective project management methods with Systems Engineering techniques. Recently, various systems engineering tools such as CORE or Cradle are applied to manage the system requirements and the project management process in the part of the aerospace engineering and automobile engineering so on. The railway industry also makes an effort to develop an efficient management skills using systems engineering tools as the railway system is multi-disciplinary. Therefore, we propose the more effectual management method of constructing the Railway Safety Test Facilities applying the systems engineering tool to the research.

• Journal of the Korean Institute of Gas
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• v.11 no.3
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• pp.56-63
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• 2007

These days, needs and wants of the customers are getting diversified and the market is also changing rapidely. Many organizations are now attempting change and innovation activities to improve products and service quality. This study was performed to apply 6 sigma tools for the efficient repair management of city gas supply equipment. Vital few factors, RISK factors, sigma values, root causes. and solutions were derived by 6 sigma tools. We are performing statistical process control for the new process. Six sigma for city gas supply equipment safety management enabled to improve the business management for efficiency by reducing variation and eliminating cost for quality.

• International conference on construction engineering and project management
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• 2009.05a
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• pp.890-896
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• 2009

In past projects, the main goal has been to enhance efficiency by reducing cost and time. However, considering the current condition of safety management in many construction companies, it can be confirmed that safety management has not been a top priority for a long time. Current safety management, which is based on safety standards and rules, is very ineffective and only emphasizes management after an incident. As well, although fewer accidents occur compared to the past, because construction projects are increasingly large in scale and complex, these accidents tend to be more serious and involve greater monetary loss. Furthermore, as the severity of these accidents increases, so does the possibility of fatalities. Therefore, improving safety management is essential. This study proposes an effective program for safety management, focusing on the processes to connect studies and systems, and the basic techniques required for program development. To realize this program, technical tools are suggested, including systems such as BIM (Building Information Modeling); additionally, the coordination of other systems such as an RTLS, a server, and an alarm system is proposed.

• Korean Management Science Review
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• v.17 no.1
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• pp.55-64
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• 2000

By managing not only geographical information but also various kinds of attribute data. GIS presents useful information for decision-makings. Most of decision-making problems using GIS can be formulated into network-optimization problems. In this study we deal with the implementation of network optimization system that extracts data from the database in GIS. solves a network optimization problem and present optimal solutions through GIS' graphical user interface. We design a nitwork optimization system and present some implementation techniques by showing a prototype of the network optimization system. Our network optimization system consists of three components : the interface module for user and GIS the basic network the program module the advanced network optimization program module. To handle large-scale networks the program module including various techniques for large sparse networks is also considered, For the implementation of the network optimization system we consider two approaches : the method using script languages supported by GIS and the method using client tools of GIS. Finally some execution results displayed by the prototype version of network optimization system are given.

• Journal of Dental Anesthesia and Pain Medicine
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• v.21 no.4
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• pp.369-376
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• 2021

In adult patients with dental phobia, dental treatment may be difficult, or may not be possible. Depending on the level of fear or anxiety, non-pharmacological or pharmacological behavior management techniques are used in the dental treatment of such patients. Among the pharmacological behavior management techniques, minimal sedation, that is, the lowest depth of sedation, can be easily obtained in adult patients using oral sedatives, does not require special equipment or tools, and does not affect ventilatory and cardiovascular function. Diazepam is an anxiolytic drug belonging to the benzodiazepine family that, in addition to relieving anxiety, produces muscle relaxation, and is a representative drug used in adult patients with fear of dental treatment. Herein, we report the case of a 50-year-old woman with severe dental fear who successfully underwent long-term dental treatment in approximately 20 visits with minimal sedation using oral diazepam. In addition, we reviewed the considerations for the use of benzodiazepines for minimal sedation.

• International conference on construction engineering and project management
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• 2013.01a
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• pp.391-396
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• 2013

As the construction environment has been changing all the times, the techniques for managing the construction projects have been improved accordingly. The schedule management technique, one of the construction management tools, has been evolved as well in order to be adaptable to new construction environment. Most of newly proposed scheduling techniques have been based on the Critical Path Method (CPM) that was proposed in 1956. The CPM is classified into two categories, Arrow Diagramming Method (ADM) and Precedence Diagramming Method (PDM). ADM is so good in the visual format but it cannot express the overlapping relationships between two consecutive activities. On the other hand, PDM can express the overlapping relationships but it is unsatisfactory in the visual format. Recently, as the construction environment becomes more complex and the role of schedule management becomes more and more important, the overlapping expression becomes one of critical factors for scheduling as well. Most of construction project participants prefer more comfortable visual format, however, the scheduling software based on the PDM cannot satisfy their basic requirement. Beeliner, new scheduling software based on the Beeline Diagramming Method (BDM) that was proposed in 2010, was developed in 2012, it can express more flexible overlapping relationships and has superior visual format as well. This paper presents major features and applications of Beeliner, and makes construction professionals understand new scheduling concept and its applications.

• Journal of Korean Institute of Industrial Engineers
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• v.33 no.1
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• pp.1-10
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• 2007

The capabilities ofBusiness Process Management Systems (BPMS's) are continuously extended to increase theeffectiveness of the management and enactment of business processes. This paper identifies the challenge ofcase prediction, which for a specific case under the control of a BPMS deals with the estimation of the remaining time until it is completed. An accurate case prediction facility is a valuable tool for the operationalcontrol of business processes, as it enables the pre-active monitoring of time violations. Little research has beencarried out in this area and few commercial tools support case prediction. This paper lists the requirements onsuch a facility and sketches sonae directions to reach a solution. To illustrate the depth of the problem, a smallaspect of the problem is treated in more detail. It involves the complex relations between tasks and resources inbusiness processes, which makes an exact analytical approach mfeasible.

• Asian Pacific Journal of Cancer Prevention
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• v.17 no.8
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• pp.3997-4001
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• 2016

Background: Cancer is a worldwide health problem and pain is among the most common and unpleasant effects affecting well-being of cancer patients. Accurate description of pain can help physicians to improve its management. Many English tools have been developed to assess pain. Onkly a limited number of these are applied in Arab countries. Our aim was to assess the quality, the nature and the severity of pain using the short McGill Pain Questionnaire (SF-MPQ) on cancer patients in the National Institute of Oncology (NIO) in Rabat, Morocco. Materials and Methods: The tool used is the SF-MPQ inspired from the Arabic version of the MPQ. The subjects were cancer patients (N=182) attending the NIO, from 24th October 2015 to 8th January 2016, aging ${\geq}18$ years old, experiencing pain and coming to have or to update their pain medication. Results: The rate of participation was 96.3%. Eight patients had difficulties to express their pain using descriptors, but could use the Visual Analogue Scale (VAS) and the body diagram. The most frequent sensory descriptors were 'Throbbing', 'Shooting', 'Hot-Burning'. The most used affective descriptor was 'Tiring-Exhausting'. The mean VAS was 6.6 (2.4). The mean score of all items was 11.9 (7.8). The patients were suffering from severe pain. The internal consistency of the form was s acceptable. Conclusions: The findings indicate that most of the patients attending the pain center of the NIO could use the descriptors of the SF-MPQ to describe their pain. They indicate the usefulness of the SF-MPQ to assess the nature and the severity of pain in cancer patients. This tool should be tested in other Moroccan and Arabic contexts associated with other tools in clinical trials.

• International Journal of Quality Innovation
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• v.5 no.1
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• pp.52-67
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• 2004

Successful implementation of statistical process control techniques requires for operational definitions and precise measurements. Nevertheless, very often analysts can dispose of process data available only by linguistic terms, that would be a waste to neglect just because of their intrinsic vagueness. Thus a hybrid approach, which integrates fuzzy set theory and common statistical tools, sounds useful in order to improve effectiveness of statistical process control in such a case. In this work, a fuzzy approach is adopted to manage linguistic information, and the use of a Chi-squared control chart is proposed to monitor process performance.

• Current Research on Agriculture and Life Sciences
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• v.31 no.2
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• pp.113-123
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• 2013

The carbon-offset mechanism based on forest management has been recognized as a meaningful tool to sequestrate carbons already existing in the atmosphere. Thus, with an emphasis on the forest-originated carbon-offset mechanism, the accurate measurement of the carbon stock in forests has become important, as carbon credits should be issued proportionally with forest carbon stocks. Various remote sensing techniques have already been developed for measuring forest carbon stocks. Yet, despite the efficiency of remote sensing techniques, the final accuracy of their carbon stock estimations is disputable. Therefore, minimizing the uncertainty embedded in the application of remote sensing techniques is important to prevent questions over the carbon stock evaluation for issuing carbon credits. Accordingly, this study reviews the overall procedures of carbon stock evaluation-related remote sensing techniques and identifies the problematic technical issues when measuring the carbon stock. The procedures are sub-divided into four stages: the characteristics of the remote sensing sensor, data preparation, data analysis, and evaluation. Depending on the choice of technique, there are many disputable issues in each stage, resulting in quite different results for the final carbon stock evaluation. Thus, the establishment of detailed standards for each stageis urgently needed. From a policy-making perspective, the top priority should be given to establishinga standard sampling technique and enhancing the statistical analysis tools.