• Title/Summary/Keyword: Maximization

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A Study on the Inductance Variation According to the Rotor Shape in IPMSM (IPMSM의 회전자 형상에 따른 인덕턴스 변화에 대한 연구)

  • Kim, Hee-Woon;Hur, Jin
    • Proceedings of the KIEE Conference
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    • 2009.04b
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    • pp.274-276
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    • 2009
  • This paper presents a rotor shape optimization of interior type permanent magnet (IPM) motor for cogging torque minimization and maximization of reluctance torque. In order to minimize the cogging torque, the optimal notches are put on the rotor pole face and the arc type pole face is applied. The variations of cogging torque and d-q axis inductions are analyzed by finite element method (FEM).

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Optimal k Value for the Profit Maximizing in the k out of n : open & close Systems

  • Oh, Chung Hwan;Lee, Jong Chul
    • Journal of Korean Society for Quality Management
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    • v.21 no.1
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    • pp.144-151
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    • 1993
  • This Paper shows a special case of the optimization criterion is to make the maximum profit in the system reliability of the k out of n open & close structure. Especially, the number of the optimal k is determined for the profit maximization in system reliability by deriving several properties of the optimal k out of n systems in one of four possible styles(closed & opened).

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BAYESIAN AND CLASSICAL INFERENCE FOR TOPP-LEONE INVERSE WEIBULL DISTRIBUTION BASED ON TYPE-II CENSORED DATA

  • ZAHRA SHOKOOH GHAZANI
    • Journal of applied mathematics & informatics
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    • v.42 no.4
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    • pp.819-829
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    • 2024
  • This paper delves into an examination of both non-Bayesian and Bayesian estimation techniques for determining the Topp-leone inverse Weibull distribution parameters based on progressive Type-II censoring. The first approach employs expectation maximization (EM) algorithms to derive maximum likelihood estimates for these variables. Subsequently, Bayesian estimators are obtained by utilizing symmetric and asymmetric loss functions such as Squared error and Linex loss functions. The Markov chain Monte Carlo method is invoked to obtain these Bayesian estimates, solidifying their reliability in this framework.

A Study on Efficiency Estimation of Aquaculture : the Case of the Korean Seaweed Farms (해조류 양식업 규모의 효율성 추정에 관한 연구 - 부산 기장지역 미역양식을 중심으로 -)

  • Seo, Ju-Nam;Song, Jung-Hun
    • The Journal of Fisheries Business Administration
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    • v.40 no.1
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    • pp.1-26
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    • 2009
  • The aquaculture management considers the maintenance of households lifehood more than profit maximization. As aquaculture industry has developed enterprise farms appeared, and the small and the large scale farms coexist. The features of coexistence could be summarized as followings. First of all, the large scale farms show the higher net profit while the small scale farms show the higher profit per 1ha and the earning rate. Secondly, in the case of over 2ha, the earning rate is stable in spite of the scale expansion. Moreover, in processing method, dried seaweed occupy the biggest proportion in the small scale farms while the raw seaweed occupy the biggest proportion in the large scale farms. Lastly, the scale of farms becomes larger, the participation rate of household labor rises. This thesis analyses the efficiency of Korean seaweed farms in the way of DEA model and suggests the improvements for the efficiency management. The mean technical, pure technical and scale efficiencies were measured to be 0.88, 0.96 and 0.91, respectively. Among the 20 farms included in the analysis, 10 were technically efficient and 12 were scale efficient. In conclusion, it is shown that the aquaculture farms has been becoming the form of coexistence. This appearance results in the effort for reducing the cost in the small scale farms and in profit maximization in the large scale farms. On the other hand, middle scale farms is inefficient compared with the small or large scale farms. Therefore, in order to achieve the efficiency, it is necessary to accomplish economy of scale by extending farm size or to cut expenses by reducing farm area. In other word, the efforts for achieving the efficiency is required in a different direction in spite of the same scale.

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Evaluation of Immunotoxicities of New Skin Decontamination Kit(SDK) (신규 개인제독키트, SDK시제품(가칭)의 면역독성평가에 관한 고찰)

  • 강병철;이학모;제정환;남정석;이석만;양재만;박재학;이영순
    • Toxicological Research
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    • v.14 no.2
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    • pp.205-209
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    • 1998
  • To evaluate immunotoxicity of skin decontamination kit(SDK) newly-developed in Agency for Defense Development(ADD), delayed contact hypersensitivity (maximization) test and passive cutaneous anaphylaxis(PCA) test of SDK were performed and the results were compared with those of M 291. In maximization test, sensitization reaction was induced by id injection (2.5 mg / 0.1 $\textrm{m}{\ell}$/ guinea pig or 2.5 mg+CFA/0.1 $\textrm{m}{\ell}$/guinea pig) and topical application (2.5 mg/$\textrm{m}{\ell}$/guinea pig) with SDK or M291 at an interval of 1 week, and 2 weeks later, challenged by topical application with 25 mg/$\textrm{m}{\ell}$/guinea pig. SDK and M291 did not induce any reactions, showing 0 point of sensitization score and 0% of sensitization rate. In conclusion, it is suggested that SDK and M291 do not induce delayed contact hypersensitivity. In PCA test, rats were administered id with mouse anti-SDK serum and challenged iv with a mixture of antigen SDK and Evan's blue. SDK did not induce blue spots at the injection sites of both high (2.5 mg/mouse) and low (1.25 mg/mouse) dose-induced antisera. In contrast, BSA, positive control produced spots larger than 5 mm in diameter at the injection sites of BSA-induced antiserum up to $2^2$ ~ $2^4$dilution. In conclusion, it is suggested that SDK do not induce IgE production and is not a PCA-reaction inducer.

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The changes of cerebral blood flow by brain imaging algorithm in the Normal Brains : Analysis by Statistical Parametric Mapping (정상 뇌혈류 영상에서 재구성 알고리즘 적용에 따른 섭취율 차이 : 통계적 파라미터 지도를 사용한 분석)

  • Lee, Hyo-Yeong;Kim, Yun-Jin;Sin, Sung-Gyu
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.13 no.11
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    • pp.5311-5316
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    • 2012
  • Single Photon Emission Computed tomography(SPECT) was performed on 13 healthy adults (average age: 39) to investigate the changes of cerebral blood flow according to brain imaging analysis algorithm. The acquired images were filtered and reconstructed through Filtered Back Projection (FBP) and Ordered Subset Expectation Maximization (OSEM). The brain distribution data of radiopharmaceuticals were compared using Statistical Parametric Mapping (SPM), and the changes of blood flow was expressed in Cluster. As a result, uptake rate was increased in Sub-gyral, Sub-Lobar, Extra-Nuclear, Limbic lobe and Cingulate Gyrus, while uptake rate was decreased in Middle frontal gyrus, Inferior Frontal Gyrus and Precentral Gyrus. The discriminable SPM was shown according to cerebral blood flows in Cluster by the reconstruction algorithm.

Tax Incentives for Job Creation and Employment Retention (고용창출과 고용유지를 위한 조세지원제도의 개선방안에 관한 연구)

  • Lee, Byung-San
    • Journal of Digital Convergence
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    • v.13 no.11
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    • pp.133-139
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    • 2015
  • This study is aimed at suggesting the establishment strategy of human resource development through the tax support system under the "Tax incentive limitation law" provided for job creation and employment retention, by which the improvement measurements for utility maximization. The study results are briefly summarized as follows: At first, It's necessary to permit overlapping deduction of the tax favor for encouragement of job creation and employment retention, i.e. tax exemption and tax credit, and to exclude a company from the object for the alternative minimum tax application for maximization of the effect on employment inducement. Secondly, It's necessary to establish tax exemption and a tax credit on the surplus of the minimum wage standard. At last, It's also necessary to abolish, or expand the sunset period of tax support on a large scale to enhance the predictability of human resources management. These discussion are made through the convergence both employment policies and tax laws.

Analysis and probabilistic modeling of wind characteristics of an arch bridge using structural health monitoring data during typhoons

  • Ye, X.W.;Xi, P.S.;Su, Y.H.;Chen, B.
    • Structural Engineering and Mechanics
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    • v.63 no.6
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    • pp.809-824
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    • 2017
  • The accurate evaluation of wind characteristics and wind-induced structural responses during a typhoon is of significant importance for bridge design and safety assessment. This paper presents an expectation maximization (EM) algorithm-based angular-linear approach for probabilistic modeling of field-measured wind characteristics. The proposed method has been applied to model the wind speed and direction data during typhoons recorded by the structural health monitoring (SHM) system instrumented on the arch Jiubao Bridge located in Hangzhou, China. In the summer of 2015, three typhoons, i.e., Typhoon Chan-hom, Typhoon Soudelor and Typhoon Goni, made landfall in the east of China and then struck the Jiubao Bridge. By analyzing the wind monitoring data such as the wind speed and direction measured by three anemometers during typhoons, the wind characteristics during typhoons are derived, including the average wind speed and direction, turbulence intensity, gust factor, turbulence integral scale, and power spectral density (PSD). An EM algorithm-based angular-linear modeling approach is proposed for modeling the joint distribution of the wind speed and direction. For the marginal distribution of the wind speed, the finite mixture of two-parameter Weibull distribution is employed, and the finite mixture of von Mises distribution is used to represent the wind direction. The parameters of each distribution model are estimated by use of the EM algorithm, and the optimal model is determined by the values of $R^2$ statistic and the Akaike's information criterion (AIC). The results indicate that the stochastic properties of the wind field around the bridge site during typhoons are effectively characterized by the proposed EM algorithm-based angular-linear modeling approach. The formulated joint distribution of the wind speed and direction can serve as a solid foundation for the purpose of accurately evaluating the typhoon-induced fatigue damage of long-span bridges.

Lifetime Maximization of Wireless Video Sensor Network Node by Dynamically Resizing Communication Buffer

  • Choi, Kang-Woo;Yi, Kang;Kyung, Chong Min
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.11 no.10
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    • pp.5149-5167
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    • 2017
  • Reducing energy consumption in a wireless video sensor network (WVSN) is a crucial problem because of the high video data volume and severe energy constraints of battery-powered WVSN nodes. In this paper, we present an adaptive dynamic resizing approach for a SRAM communication buffer in a WVSN node in order to reduce the energy consumption and thereby, to maximize the lifetime of the WVSN nodes. To reduce the power consumption of the communication part, which is typically the most energy-consuming component in the WVSN nodes, the radio needs to remain turned off during the data buffer-filling period as well as idle period. As the radio ON/OFF transition incurs extra energy consumption, we need to reduce the ON/OFF transition frequency, which requires a large-sized buffer. However, a large-sized SRAM buffer results in more energy consumption because SRAM power consumption is proportional to the memory size. We can dynamically adjust any active buffer memory size by utilizing a power-gating technique to reflect the optimal control on the buffer size. This paper aims at finding the optimal buffer size, based on the trade-off between the respective energy consumption ratios of the communication buffer and the radio part, respectively. We derive a formula showing the relationship between control variables, including active buffer size and total energy consumption, to mathematically determine the optimal buffer size for any given conditions to minimize total energy consumption. Simulation results show that the overall energy reduction, using our approach, is up to 40.48% (26.96% on average) compared to the conventional wireless communication scheme. In addition, the lifetime of the WVSN node has been extended by 22.17% on average, compared to the existing approaches.