• 전기의세계
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• 제18권6호
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• pp.9-22
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• 1969

This thesis has suggested a method of applying the Maximum Principle of Pontryagin to the optimal control of distributive electrical networks. In general, electrical networks consist of branches, nodes, sources and loads. The effective values of steady state currents and voltages are independent of time but only expressed as the functions of position. Moreover, most of the node voltages and branch currents are not predetermined, that is, initially unknown, and their inherent loop characteristics satisfy only Kirchhoff's current and voltage laws. The Maximum Principle, however, needs the initial fixed values of all state variables for its standand way of application. In spite of this inconsistency this thesis has undertaken to suggest a new approach to the successful solution of the above mentioned networks by introducing scaling factors and a state variable change technique which transform the boundary-value unknown problem into the boundary-value partially fixed and partially free problem. For the examples of applying the method suggested, the control problems for minimizing copper quantity in a distribution line have been solved with voltage drop constraint imposed on. In the case of uniform load distribution it has been shown that the optimal wire diameter of the distribution line is reciprocally proportional to the root of distance. For the same load pattern as above the wire diameter giving the minimum copper loss in the distribution line has been shown to be reciprocally proportional to distance.

• Earthquakes and Structures
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• 제7권2호
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• pp.201-216
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• 2014

In this paper the vulnerability of the confined masonry buildings is evaluated analytically. The proposed approach includes the nonlinear dynamic analysis of the two-story confined masonry buildings with common plan as a reference structure. In this approach the damage level is calculated based on the probability of exceedance of loss vs a specified ground motion in the form of fragility curves. The fragility curves of confined masonry wall buildings are presented in two levels of limit states corresponding to elastic and maximum strength versus PGA based on analytical method. In this regard the randomness of parameters indicating the characteristics of the building structure as well as ground motion is considered as likely uncertainties. In order to develop the analytical fragility curves the proposed analytical models of confined masonry walls in a previous investigation of the authors, are used to specify the damage indices and responses of the structure. In order to obtain damage indices a series of pushover analyses are performed, and to identify the seismic demand a series of nonlinear dynamic analysis are conducted. Finally by considering various mechanical and geometric parameters of masonry walls and numerous accelerograms, the fragility curves with assuming a log normal distribution of data are derived based on capacity and demand of building structures in a probabilistic approach.

• The Journal of Asian Finance, Economics and Business
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• 제8권3호
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• pp.1231-1240
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• 2021

A shift in perspective from standard finance to behavioral finance has taken place in the past two decades that explains how cognition and emotions are associated with financial decision making. This study aims to investigate the influence of various psychological factors on investment decision-making. The psychological factors that are investigated are differentiated into two aspects, cognitive and emotional aspects. From the cognitive aspect, we examine the influence of anchoring, representativeness, loss aversion, overconfidence, and optimism biases on investor decisions. Meanwhile, from the emotional aspect, the influence of herding behavior on investment decisions is analyzed. A quantitative approach is used based on a survey method and a snowball sampling that result in 165 questionnaires from individual investors in Yogyakarta. Further, we use the One-Sample t-test in testing all hypotheses. The research findings show that all of the variables, anchoring bias, representativeness bias, loss aversion bias, overconfidence bias, optimism bias, and herding behavior have a significant effect on investment decisions. This result emphasizes the influence of behavioral factors on investor's decisions. It contributes to the existing literature in understanding the dynamics of investor's behaviors and enhance the ability of investors in making more informed decision by reducing all potential biases.

• The Journal of Asian Finance, Economics and Business
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• 제9권8호
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• pp.145-155
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• 2022

Since 2014, the IFRS 9 has been the focus of the attention of many scholars across disciplines. The futuristic prediction of bank loan provision via a flexible ECL model has been observed as a game changer from the prior models offered in IAS 39. This study has two objectives; the first is to examine the impact on loan loss provisions (LLP), nonperforming loans (NPL), and the impairment loan losses (ILL) after the IFRS 9 in gulf banks. The second is to capture any variation in LLP, NPL, and ILL before and after IFRS9. The study used the two-way fixed effect model (TWFE) estimation and the DiD approach to attain its objectives. 54 gulf banks were selected from the periods between 2012 and 2020. The results indicate that LLP has significantly increased after the transition to IFRS 9, while the NPL has significantly decreased. The results did not capture a significant change in ILL after IFRS9 implementation. The results also indicate more consistency in LLP and NPL reporting after implementing the ECL model adopted in IFRS9. The study concluded that ECL model outcomes are in tandem with prior observation worldwide and pointed out some improvement opportunities for the future.

• Journal of Electrical Engineering and Technology
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• 제11권2호
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• pp.329-337
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• 2016

With the increasing deployment of distributed generators in the distribution system, a very large search space is required when dynamic programming (DP) is applied for the optimized dispatch schedules of voltage and reactive power controllers such as on-load tap changers, distributed generators, and shunt capacitors. This study proposes a new optimal voltage and reactive power scheduling method based on dynamic programming with a heuristic searching space reduction approach to reduce the computational burden. This algorithm is designed to determine optimum dispatch schedules based on power system day-ahead scheduling, with new control objectives that consider the reduction of active power losses and maintain the receiving power factor. In this work, to reduce the computational burden, an advanced voltage sensitivity index (AVSI) is adopted to reduce the number of load-flow calculations by estimating bus voltages. Moreover, the accumulated switching operation number up to the current stage is applied prior to the load-flow calculation module. The computational burden can be greatly reduced by using dynamic programming. Case studies were conducted using the IEEE 30-bus test systems and the simulation results indicate that the proposed method is more effective in terms of saving electric charges and improving the voltage profile than loss minimization.

• 연구윤리
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• 제3권1호
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• pp.1-5
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• 2022

Purpose: A conflict of interest is defined broadly as a scenario in which one's responsibilities and self-interest collide in a manner that has a significant probability of corrupting one's discernments, motivations, actions, desires, values, and judgments. This study aims to investigate various cases of conflict of interest. Research design, data and methodology: Our study used the preferred reporting items for systematic reviews and meta-analyses (PRISMA) to identify resources. The eligibility of selected prior studies thoroughly was investigated whether they are suitable for the topic of present study. Finally, we collected total 15 previous studies published between 2000 and 2021. Results: Research findings indicate that there are three main cases that might cause a conflict of interest and mandated research ethics education might provide researchers with the tools to identify and battle the temptations and biases provided by conflicts of interest. Researchers could likely be better prepared for conflicts of interest if they investigated the moral difficulties associated with them in advance. Conclusions: Researchers might evade deliberate or unconscious detriment of duties, and also objectivity loss because of the siren song of self-interest by escaping situations whereby they may be tempted to shirk their responsibilities, not to remark the hassles of unveiling conflicts.

• 자원ㆍ환경경제연구
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• 제16권4호
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• pp.947-978
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• 2007

본 연구에서는 원유시장의 변동성 분석에 적용될 수 있는 VaR(Value-at-Risk) 접근법을 고찰한다. 그리고 다양한 VaR 모형들(RiskMetrics, GARCH, IGARCH와 FIGARCH 모형)의 성과를 정규분포와 치우친 Student-t 분포 가정 하에서 평가한다. Brent 및 Dubai 시장의 일별가격 자료를 이용한 실증분석 결과에 따르면, FIGARCH 모형이 GARCH 모형이나 IGARCH 모형보다 원유시장의 변동성에 내재되어 있는 장기기억 특성을 잘 반영한다는 점에서 더 우월한 것으로 나타났다. 이러한 사실은 원유시장 수익률의 변동성에는 장기기억이 존재한다는 것을 의미한다. 그리고 VaR 분석 결과, 치우친 Student-t 분포 가정 하에서 추정되는 FIGARCH 모형이 롱 포지션과 숏 포지션 모두에서 정규분포 가정 하에서 추정되는 다른 변동성 모형들보다 원유시장에서의 투자 위험을 더 정확하게 예측하는 것으로 나타났다. 이러한 사실은 치우친 Student-t 분포 가정이 원유시장 수익률 분포에 내재되어 있는 비정상적 왜도와 첨도를 모형화하는데 더 적합하다는 것을 의미한다. 이와 같은 발견은 원유시장 구매자 및 판매자들이 원유가격의 움직임을 올바르게 측정하고 VaR을 정확하게 추정하는데 도움을 줄 것이다.

• Journal of Electrical Engineering and Technology
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• 제12권1호
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• pp.161-172
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• 2017

In the paper, a hybrid technique is proposed for detecting the location and capacity of distributed generation (DG) sources like wind and photovoltaic (PV) in power system. The novelty of the proposed method is the combined performance of both the Biography Based Optimization (BBO) and Particle Swarm Optimization (PSO) techniques. The mentioned techniques are the optimization techniques, which are used for optimizing the optimum location and capacity of the DG sources for radial distribution network. Initially, the Artificial Neural Network (ANN) is applied to obtain the available capacity of DG sources like wind and PV for 24 hours. The BBO algorithm requires radial distribution network voltage, real and power loss for determining the optimum location and capacity of the DG. Here, the BBO input parameters are classified into sub parameters and allowed as the PSO algorithm optimization process. The PSO synthesis the problem and develops the sub solution with the help of sub parameters. The BBO migration and mutation process is applied for the sub solution of PSO for identifying the optimum location and capacity of DG. For the analysis of the proposed method, the test case is considered. The IEEE standard bench mark 33 bus system is utilized for analyzing the effectiveness of the proposed method. Then the proposed technique is implemented in the MATLAB/simulink platform and the effectiveness is analyzed by comparing it with the BBO and PSO techniques. The comparison results demonstrate the superiority of the proposed approach and confirm its potential to solve the problem.

• Journal of applied mathematics & informatics
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• 제27권1_2호
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• pp.301-313
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• 2009

This paper presents a Finite Element Method (FEM) application to thermal study of natural three layers of human dermal parts of varying properties. This paper carries out investigation of temperature distributions in these layers namely epidermis, dermis and under lying tissue layer. It is assumed that the outer skin is exposed to atmosphere and the loss of heat due to convection, radiation and evaporation of water have also been taken into account. The computations are carried out for one dimensional unsteady state case and the shape functions in dermal parts have been considered to be quadratic. A Finite Element scheme that uses the Crank-Nicolson method is used to solve the problem and the results computed have been exhibited graphically.

• 대한전기학회논문지:전력기술부문A
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• 제49권1호
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• pp.13-18
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• 2000

The paper proposes a simple method to calculate the portion of real power losses of transmission lines allocated to individual loads. The method is implemented by defining loss distribution factors, and analyses the loads shares in the transmission line losses. The paper also performs calculation of sensitivities of the line losses with respect to load changes so as to be easily employed in on-line applications. Effectiveness of the algorithm is verified by computer simulations and it is estimated that the results can be used to compute the cost of one ancillary service under deregulated environment in electric power industries.