• Quality Improvement in Health Care
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• v.2 no.2
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• pp.32-45
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• 1996

Background : A critical path defines an optimal sequencing and timing of interventions by physicians, nurses, and other staff for a particular diagnosis or procedure, designed to better utilize resources, maximize quality of care, and minimize delays. It can be thought of as a visualization of the patient care process. In this study, a review of appendectomy patient records was undertaken to identify a critical path for the management of this treatment. Methods: For this study, records of patients under 15 or over 65 years of age were excluded ; cases where the patient was pregnant, or where complications developed were also excluded. The remaining 21 cases were divided into two categories according to the indication for appendectomy : for acute appendicitis, and for perforated appendix or drainage of periappendical abscess. The time frame for the review was from patient examination immediately prior to operation, through discharge. The study team was composed of a surgeon, research head nurse, education head nurse, surgical part head nurse, and medical recorder. Following their review of the 21 charts, the team determined an appropriate progression and schedule for an appendectomy. Result : Through the chart and literature review, the following aspects of the care process were identified as typical and tracked : monitoring/assessment, treatment, lines/drains, medication, activity, diet, tests and patient education. Conclusion : From this study, the design team determined two separate critical paths : one for appendectomy only, and one for appendectomy plus drainage. Next, these paths must be validated and fine-tuned through clinical implementation. In addition, a comparison of our design with the critical paths determined at other hospitals would be extremely valuable for advancing research in this area. Lastly, the critical path approach to improving patient care and maximizing hospital resources should be applied to other procedures.

• 전자공학회논문지 IE
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• v.48 no.4
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• pp.69-77
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• 2011

Recently, the public sector information projects have bebn larger in size, sophisticated, and diversified, which make the performance management model be studied continuously. According to the research and understanding on this, there are discontents resulted from poor requirements managements, schedule delays, budget overruns, failure to achieve expected goals, although there are increase the scale of projects and the number of information systems than ever before. it makes the requirement for the plan to manage significant risk factors systematically. So in this study, we will understand the risks which have been recognized by professionals and managers in public sector projects for enhancing the success rate. And the surveys will be conducted for the risk factors in each fields by gathering the opinions of the hands on workers in public sector project support team such as S company, L company. Finally, the correlation index between the risks and the other project fields would be clear by this survey.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2007.06a
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• pp.213-216
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• 2007

The paper deals with a approach to underwater acoustic based Ad-hoc communication, which allows major design strategies for Media Access Control (MAC) within a group of the autonomous underwater vehicles(AUV). The proposed MAC aims at deploying AUV-centric star topology, which minimizes overhead of sensor nodes and improves energy-efficiency. Furthermore, that is also well under long and unknown propagation delays of the underwater acoustic medium. The implemented MAC protocol makes it easier to achieve frame synchronization than TDMA due to deploying localized schedule time, in addition to saving energy consumption by letting nodes sleep. It is also superior to MACA and MACAW in terms of propagation delay. This scalable centralized protocol has the potential to serve as a primer for development of MAC protocol for future underwater acoustic based ad-hoc networks.

• Proceedings of the KSR Conference
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• 2003.10c
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• pp.236-246
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• 2003

This paper is implemented a control algorithm in order to be stable and minimized to entire train traffic system at delayed case. Signal ing system is described wi th algebraic equations given for train headway, Discrete-event simulation principles are reviewed and a demonstration block signaling model using the technique is implemented. Train congestion at station entrance for short headway operation is demonstrated and the propagation of delays along a platform of trains from any imposed delay to the leading train is also shown. A rail way signaling system is by nature a distributed operation with event triggered at discrete intervals. Although the train kinematic variables of position, velocity, and acceleration are continually changing, the changes are triggered when the trains pass over section boundaries and arrive at signals and route switches. This paper deals with linear-mode1ing, stability and optimal control for the traffic on such metro line of the model is reconstructed in order to adapt the circuits. This paper propose optimal control laws wi th state feedback ensuring the stability of the modeled system for circuits. Simulation results show the benefit to be expected from an efficient traffic control. The main results are summarized as follows: 1. In this paper we develop a linear model describing the traffic for both loop lines, two state space equations have been analyzed. The first one is adapted to the situation where a complete nominal time schedule is available while second one is adapted when only the nominal time interval between trains is known, in both cases we show the unstability of the traffic when the proceeding train is delayed following properties, - They are easily implemented at law cost on existing lines. - They ensure the exponetial stability of loop system. 2. These control laws have been tested on a traffic simulation software taking into the non-linearites and the physical constraints on a metro line. By means of simulation, the efficiency of the proposed optimal control laws are shown.

• Journal of the Korea Society of Computer and Information
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• v.21 no.1
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• pp.161-168
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• 2016

It has become the information medium that mediate between individuals of marketing with the new information media that use of the Internet in accordance with the progress of the IT industry- real estate marketing, real estate leasing, real estate auctions, etc. The real estate registration services should be disclosed to outside that include a schedule details the public book-register and problems caused by it should be reasonably resolved by handling a large amount of real estate registration work quickly, accurately handling to utilize Information Technology(IT) through the information system construction as the feature to process the information of register entries. Computerization of real estate registration will raise the efficiency of the registration as well as people can see the information related to real estate on the basis of published content without limitation the time and place and will pursue the ideal and reliability of the registration -web accessibility improving of the Internet Registry and permanent storage of preserving documents by electronic means. It is very large that impact on the real estate transaction if the accuracy of legal registration choosing formalism in the processing of real estate registration business through the Internet than written application is highly probable to occur incorrect registration. Also, It is necessary to manage it effectively -if you do not quickly and exactly respond to it, there is problems such as delays or poor registration service because real estate business activated and real estate registration services also increased sharply. In this paper, we will identify the problems of the real estate registration work and suggest improvements about it.

• Korean Journal of Construction Engineering and Management
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• v.1 no.1 s.1
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• pp.45-52
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• 2000

In Korea, demand for the Social Overhead Capital(SOC) projects has tremendously increased since 1970's and is expected to keep growing to support national economic development as well as to enhance the quality of life. In these projects, project planning and feasibility study phase is one of the most critical phases because it determines the success of later phases. However, we have experienced trial and errors repeatedly such as cost overruns and schedule delays in many of the SOC projects. These problems can be prevented or at least expected in the earlier phase and it requires well-developed and standardized project planning process and systems before design, procurement, and construction phases begin. Therefore, the purpose of this research is to investigate current problems in this phase and provide framework for a model for the project planning management which can be used for the SOC projects to insure the whole project success.

• Research in Plant Disease
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• v.19 no.1
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• pp.1-6
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• 2013

Optimal spray time, interval and number of preventive fungicides against fruit rots of kiwifruit were investigated at the orchard which both green kiwifruit cultivar 'Hayward' and gold kiwifruit cultivar 'Hort16A' are cultivating side by side during 2009 and 2010 growing seasons in Jeju island, Korea. The highest control efficiency was obtained from benomyl WP and followed by thiophanate-methyl WP and carbendazim+diethofencarb WP. The control efficacies of the fungicides were much higher when applied onto the kiwifruit canopy after the flowering time than before the flowering time but thereafter their control efficiencies were decreased drastically according to delays of spray timing. With increasing spray numbers of the fungicides, the control efficacy increased. However, optimal spray time, interval and number of the preventive fungicides for the effective control of fruit rots of kiwifruit were determined as 4 time-spray schedule with 2-week-interval just after the flowering time on both 'Hayward' and 'Hort16A' cultivars.

• Journal of Construction Engineering and Project Management
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• v.5 no.1
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• pp.11-19
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• 2015

This paper presents optimized artificial neural networks (ANNs) claims prediction and decision awareness framework that guides owner organizations in their pre-bid construction project decisions to minimize claims. The framework is composed of two genetic optimization ANNs models: a Claims Impact Prediction Model (CIPM), and a Decision Awareness Model (DAM). The CIPM is composed of three separate ANNs that predict the cost and time impacts of the possible claims that may arise in a project. The models also predict the expected types of relationship between the owner and the contractor based on their behavioral and technical decisions during the bidding phase of the project. The framework is implemented using actual data from international projects in the Middle East and Egypt (projects owned by either public or private local organizations who hired international prime contractors to deliver the projects). Literature review, interviews with pertinent experts in the Middle East, and lessons learned from several international construction projects in Egypt determined the input decision variables of the CIPM. The ANNs training, which has been implemented in a spreadsheet environment, was optimized using genetic algorithm (GA). Different weights were assigned as variables to the different layers of each ANN and the total square error was used as the objective function to be minimized. Data was collected from thirty-two international construction projects in order to train and test the ANNs of the CIPM, which predicted cost overruns, schedule delays, and relationships between contracting parties. A genetic optimization backward analysis technique was then applied to develop the Decision Awareness Model (DAM). The DAM combined the three artificial neural networks of the CIPM to assist project owners in setting optimum values for their behavioral and technical decision variables. It implements an intelligent user-friendly input interface which helps project owners in visualizing the impact of their decisions on the project's total cost, original duration, and expected owner-contractor relationship. The framework presents a unique and transparent hybrid genetic algorithm-ANNs training and testing method. It has been implemented in a spreadsheet environment using MS Excel$^{(R)}$ and EVOLVERTM V.5.5. It provides projects' owners of a decision-support tool that raises their awareness regarding their pre-bid decisions for a construction project.

• Journal of the Korea Society for Simulation
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• v.32 no.1
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• pp.1-11
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• 2023

Smart factory environments and digital twin environments are established, and today's factories accumulate vast amounts of production data and are managed in real time as visualized results suitable for user convenience. Production simulation techniques are in the spotlight as a way to prevent delays in delivery and predict factory volatility in situations where production schedule planning becomes difficult due to the diversification of production products. With the development of the digital twin environment, new packages are developed and functions of existing packages are updated, making it difficult for users to make decisions on which packages to use to develop simulations. Therefore, in this study, the concept of Discrete Event Simulation (DES) performed based on discrete events is defined, and the characteristics of various simulation packages were compared and analyzed. To this end, studies that solved real problems using discrete event simulation software for 10 years were analyzed, and three types of software used by the majority were identified. In addition, each package was classified by simulation technique, type of industry, subject of simulation, country of use, etc., and analysis results on the characteristics and usage of DES software were provided. The results of this study provide a basis for selection to companies and users who have difficulty in selecting discrete event simulation package in the future, and it is judged that they will be used as basic data.