• 전기의세계
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• v.29 no.6
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• pp.393-400
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• 1980

It is shown in this paper that it is possible to derive generalized state equations for computation of electrical circults constanining SCR and diode elements. Revankar's binary logic variable method is used for formulation of the state equation of chopper circuit. Advantage of this method is that the state equations can be set up without the exact knowledge of the circuit operaton. The different modes of operation of the circuit are identified by the computer itself. By applying this method, the steady state performances of separately excited chopper-fed dc motor considering the counter electromotive force of the motor are investigated and the results of the computer simulation are presented. There is a satisfactory agreement between the theoretical and experimental results.

• Journal of Communications and Networks
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• v.12 no.3
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• pp.253-265
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• 2010

The problem of pricing for a telecommunication network is investigated with respect to the users' sensitivity to the pricing structure. A functional optimization problem is formulated, in order to compute price reallocations as functions of data collected in real time during the network evolution. No a-priori knowledge about the users' utility functions and the traffic demands is required, since adaptive reactions to the network conditions are sought in real time. To this aim, a neural approximation technique is studied to exploit an optimal pricing control law, able to counteract traffic changes with a small on-line computational effort. Owing to the generality of the mathematical framework under investigation, our control methodology can be generalized for other decision variables and cost functionals.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.28 no.1
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• pp.32-40
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• 2005

This study was limited Gangwon-do's manufacturing companies that participated in the educational-industrial consortium. These companies' present status and activities under implementation identified and interpreted by this study, therefore, are insufficient to be generalized into knowledge applicable to most of the companies in Gangwon-do. For more precise and detailed results, it is suggested to make further studies that cover not only those consortium companies but also non-consortium manufacturing companies in Gangwon-do. The results also suggest that it is necessary to promote some periodic manpower training programs in cooperation with local universities, to utilize professors and experts to build management strategies that can bring and secure the power of competition, and to construct a system of educational-industrial cooperation, as ways leading these companies to the 21 st century's type of business enterprise.

• International Journal of Internet, Broadcasting and Communication
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• v.10 no.3
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• pp.88-97
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• 2018

Chronic diseases management can be effectively achieved through early detection, continuous treatment, observation, and self-management, rather than a radar approach where patients are treated only when they visit a medical facility. However, previous studies have not been able to provide integrated chronic disease management services by considering generalized services such as hypertension and diabetes management, and difficult to expand and link to other services using only specific sensors or services. This paper proposes clinical rule flow model based on medical data analysis to provide personalized care for chronic disease management. Also, we implemented that as Rule-based Smart Healthcare System (RSHS). The proposed system executes chronic diseases management rules, manages events and delivers individualized knowledge information by user's request. The proposed system can be expanded into a variety of applications such as diet and exercise service in the future.

• Industrial Engineering and Management Systems
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• v.1 no.1
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• pp.79-86
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• 2002

This paper proposes a new algorithm for estimating ARMA model parameters. In estimating ARMA model parameters, several methods such as generalized least square method, instrumental variable method have been developed. Among these methods, the utilization of a bootstrap type algorithm is known as one of the effective approach for the estimation, but there are cases that it does not converge. Hence, in this paper, making use of a cross correlation function and utilizing the relation of structural a priori knowledge, a new bootstrap algorithm is developed. By introducing theoretical relations, it became possible to remove terms, which is liable to include much noise. Therefore, this leads to robust parameter estimation. It is shown by numerical examples that using this algorithm, all simulation cases converge while only half cases succeeded with the previous one. As for the calculation time, judging from the fact that we got converged solutions, our proposed method is said to be superior as a whole.

• Journal of The Korean Society of Clinical Toxicology
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• v.6 no.2
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• pp.123-129
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• 2008

A 36-year-old female was transferred to our emergency medical center with decreased mental status after a 6.0 g propafenone overdose because of domestic disturbance. She had no previous history of epilepsy, diabetes mellitus, hypertension or psychiatric illness. Before presenting to our center, gastrointestinal decontamination, charcoal administration, and endotracheal intubation due to bradycardia and generalized seizure had been performed. Soon after hospital arrival, at 5 h after ingestion, she collapsed into shock and fatal arrhythmia. We successfully resuscitated the patient with amiodarone, sodium bicarbonate, a large volume of normal saline, calcium, and ventilator care. At 23 h after ingestion, she was fully recovered and had no subjective signs or symptoms. To our knowledge, this is the first case report of intentional propafenone overdose in Korea, which we report with reviews of the previous literature.

• Structural Engineering and Mechanics
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• v.25 no.6
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• pp.691-716
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• 2007

The purpose of the present work is to establish a method for predicting the location and depth of a crack in a circular cross section beam by only considering the frequencies of the cracked beam. An accurate knowledge of the material properties is not required. The crack location and size is identified by finding the point of intersection of pulsation ratio contour lines of lower vertical and horizontal modes. This process is presented and numerically validated in the case of a simply supported beam with various crack locations and sizes. If the beam has structural symmetry, the identification of crack location is performed by adding an off-center placed mass to the simply supported beam. In order to avoid worse diagnostic, it was demonstrated that a robust identification of crack size and location is possible if two tests are undertaken by adding the mass at the left and then right end of the simply supported beam. Finally, the pulsation ratio contour lines method is generalized in order to be extended to the case of rectangular cross section beams or more complex structures.

• Korean Journal of Veterinary Service
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• v.46 no.3
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• pp.249-253
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• 2023

A 12-year-old neutered male Maltese was brought to our hospital with loss of appetite, generalized alopecia, anemia, and a palpable abdominal mass. Ultrasonography revealed multiple abdominal masses in the liver and spleen. Subsequently, splenectomy and liver biopsy were performed, and the masses were histologically diagnosed as metastatic fibrosarcomas of unknown primary origin. The owner refused further investigations such as computed tomography and hepatectomy, therefore, we decided to initiate chemotherapy in the form of metronomic therapy with toceranib phosphate, which has several advantages, such as better tolerability, low cost, and convenience. The size and number of hepatic fibrosarcomas continued to increase despite continued administration of toceranib (10 mg/dog, PO, q48h). The dog died approximately 43 days after initiation of the toceranib treatment. To the best of our knowledge, this is the first report on toceranib therapy for metastatic hepatic fibrosarcoma in a dog.

• Wind and Structures
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• v.14 no.5
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• pp.383-411
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• 2011

Roof is an integral part of building envelope. It protects occupants from environmental forces such as wind, rain, snow and others. Among those environmental forces, wind is a major factor that can cause structural roof damages. Roof due to wind actions can exhibit either flexible or rigid system responses. At present, a dynamic test procedure available is CSA A123.21-04 for the wind uplift resistance evaluation of flexible membrane-roofing systems and there is no dynamic test procedure available in North America for wind uplift resistance evaluation of rigid membrane-roofing system. In order to incorporate rigid membrane-roofing systems into the CSA A123.21-04 testing procedure, this paper presents the development of a load cycle. For this process, the present study compared the wind performance of rigid systems with the flexible systems. Analysis of the pressure time histories data using probability distribution function and power spectral density verified that these two roofs types exhibit different system responses under wind forces. Rain flow counting method was applied on the wind tunnel time histories data. Calculated wind load cycles were compared with the existing load cycle of CSA A123.21-04. With the input from the roof manufacturers and roofing associations, the developed load cycles had been generalized and extended to evaluate the ultimate wind uplift resistance capacity of rigid roofs. This new knowledge is integrated into the new edition of CSA A123.21-10 so that the standard can be used to evaluate wind uplift resistance capacity of membrane roofing systems.

• Journal of The Korean Association of Information Education
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• v.19 no.1
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• pp.21-30
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• 2015

Information and knowledge society in the 21st century computer education is very important. Computer programming education in computer education is very important. There are very few teaching and learning model of computer programming education. In this paper, we develop a self-regulated learning model for students to be self-regulated learning. In this study, we propose self-regulated learning elements, a self-regulated learning steps and self-regulated learning modele. Self-regulated learning elements are task level, generalized level, and efficiency level. Self-regulated learning phases are problem understanding, design, and coding, testing, and maintenance. Self-regulated learning models are to copy, to modify, create, and to challenge. The results of this study are as follows. At Correlations between learning elements and achievement, generalized level, and efficiency level are higher than the task level. At Correlations between learning and achievement, Understanding and design stages are higher than the other stages. At Correlations between learning model and achievement, to transform, to create, and to challenge are higher than to copy.