• Title/Summary/Keyword: MACRO

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A Method for Learning Macro-Actions for Virtual Characters Using Programming by Demonstration and Reinforcement Learning

  • Sung, Yun-Sick;Cho, Kyun-Geun
    • Journal of Information Processing Systems
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    • v.8 no.3
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    • pp.409-420
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    • 2012
  • The decision-making by agents in games is commonly based on reinforcement learning. To improve the quality of agents, it is necessary to solve the problems of the time and state space that are required for learning. Such problems can be solved by Macro-Actions, which are defined and executed by a sequence of primitive actions. In this line of research, the learning time is reduced by cutting down the number of policy decisions by agents. Macro-Actions were originally defined as combinations of the same primitive actions. Based on studies that showed the generation of Macro-Actions by learning, Macro-Actions are now thought to consist of diverse kinds of primitive actions. However an enormous amount of learning time and state space are required to generate Macro-Actions. To resolve these issues, we can apply insights from studies on the learning of tasks through Programming by Demonstration (PbD) to generate Macro-Actions that reduce the learning time and state space. In this paper, we propose a method to define and execute Macro-Actions. Macro-Actions are learned from a human subject via PbD and a policy is learned by reinforcement learning. In an experiment, the proposed method was applied to a car simulation to verify the scalability of the proposed method. Data was collected from the driving control of a human subject, and then the Macro-Actions that are required for running a car were generated. Furthermore, the policy that is necessary for driving on a track was learned. The acquisition of Macro-Actions by PbD reduced the driving time by about 16% compared to the case in which Macro-Actions were directly defined by a human subject. In addition, the learning time was also reduced by a faster convergence of the optimum policies.

Macro and Non-macro Determinants of Korean Tourism Stock Performance: A Quantile Regression Approach

  • JEON, Ji-Hong
    • The Journal of Asian Finance, Economics and Business
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    • v.7 no.3
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    • pp.149-156
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    • 2020
  • The study aims to investigate a close relation between macro and non-macro variables on stock performance of tourism companies in Korea. The sample used in this study includes monthly data from January 2001 to December 2018. The stock price index of the tourism companies as a dependent variable are obtained from Sejoong, HanaTour, and RedcapTour as three leading Korean tourism companies that have been listed on the Korea Stock Exchange. This study assesses the tourism stock performance using the quantile regression approach. This study also investigates whether global crisis events as the Iraq War and the global financial crisis as non-macro variables have a significant effect on the stock performance of tourism companies in Korea. The results show that the oil prices, exchange rate and industrial production have negative coefficients on stock prices of tourism companies, while the effects of tourist expenditure and consumer price index are positive and significant. We estimate the result of quantile regression that non-macro determinants have statistically a significant and negative effect on tourism stock performance because the global crisis could threaten traveler's safety and economy. Overall, empirical results suggest that the effects of macro and non-macro variables are statistically asymmetric and highly related to tourism stock performance.

Extraction of the Biological Diagnostic Parameters for Physical Constitutional Identificaion Using Thermography (적외선 체열 촬영을 이용한 체질 판별의 특징 파라메터의 추출)

  • Jo, Bungkwan;Ko, Byounghee;Saito, Masao
    • Journal of Sasang Constitutional Medicine
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    • v.7 no.2
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    • pp.265-274
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    • 1995
  • Skin temperatures were tested under the same conditions by using the thermography in order to extract the biological characteristics of the physical constitutional types in according to the Lee's 4 type physical constitutional theory. The subjects of this experiment were 14 ; 5 Macro-Negative subjects, 5 Micro-Negative subjects, 3 Micro-Positive subjects and 1 Macro-Positive subject. All subjects were stimulated with 2.5Hz 30Vpeak-peak pulses for 2 minutes. As the results, in normal prestimulation state the skin temperatures of the trunk in Micro-Positive and Macro-Positive subjects were higher than those of Macro-Negative and Micro-Negative subjects. In Macro-Negative subjects the reflected skin temperature of lever was the highest in the anterior trunk. In Micro-Negative subjects the reflected skin temperature of kidney was the highest in the trunk. In Micro-Positive subjects the reflected skin temperature of stomach was the highest in the trunk.In Macro-Positive subject the reflected skin temperature of lung was the highest in the trunk. In transient poststimulation state, heart rate was decreased in 7 cases among of 10 Macro-Negative ana Micro-Negative subjects, but it was increased in 3 cases among of 4 Micro-Positive and Macro-Positive subjects. And the hand temerature was increased in 8 cases among of 10 Macro-Negative and Micro-Negative subjects, but it was decreased in 3 cases among of 4 Micro-Positive and Macro-Positive subjects.

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A Macro Parametric Data Representation far CAD Model Exchange using XML (CAD 모델 교환을 위한 매크로 파라메트릭 정보의 XML 표현)

  • 양정삼;한순흥;김병철;박찬국
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.27 no.12
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    • pp.2061-2071
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    • 2003
  • The macro-parametric approach, which is a method of CAD model exchange, has recently been proposed. CAD models can be exchanged in the form of a macro file, which is a sequence of modeling commands. As an event-driven commands set, the standard macro file can transfer design intents such as parameters, features and constraints. Moreover it is suitable for the network environment because the standard macro commands are open, explicit, and the data size is small. This paper introduces the concept of the macro-parametric method and proposes its representation using XML technology. Representing the macro-parametric data using XML allows managing vast amount of dynamic contents, Web-enabled distributed applications, and inherent characteristic of structure and validation.

Usefulness of applying Macro for Brain SPECT Processing (Brain SPECT Processing에 있어서 Macro Program 사용의 유용성)

  • Kim, Gye-Hwan;Lee, Hong-Jae;Kim, Jin-Eui;Kim, Hyeon-Joo
    • The Korean Journal of Nuclear Medicine Technology
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    • v.13 no.1
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    • pp.35-39
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    • 2009
  • Purpose: Diagnostic and functional imaging softwares in Nuclear Medicine have been developed significantly. But, there are some limitations which like take a lot of time. In this article, we introduced that the basic concept of macro to help understanding macro and its application to Brain SPECT processing. We adopted macro software to SPM processing and PACS verify processing of Brain SPECT processing. Materials and Methods: In Brain SPECT, we choose SPM processing and two PACS works which have large portion of a work. SPM is the software package to analyze neuroimaging data. And purpose of SPM is quantitative analysis between groups. Results are made by complicated process such as realignment, normalization, smoothing and mapping. We made this process to be more simple by using macro program. After sending image to PACS, we directly input coordinates of mouse using simple macro program for processes of color mapping, adjustment of gray scale, copy, cut and match. So we compared time for making result by hand with making result by macro program. Finally, we got results by applying times to number of studies in 2007. Results: In 2007, the number of SPM studies were 115 and the number of PACS studies were 834 according to Diamox study. It was taken 10 to 15 minutes for SPM work by hand according to expertness and 5 minutes and a half was uniformly needed using Macro. After applying needed time to the number of studies, we calculated an average time per a year. When using SPM work by hand according to expertness, 1150 to 1725 minutes (19 to 29 hours) were needed and 632 seconds (11 hours) were needed for using Macro. When using PACS work by hand, 2 to 3 minutes were needed and for using Macro, 45 seconds were needed. After applying theses time to the number of studies, when working by hand, 1668 to 2502 minutes (28 to 42 hours) were needed and for using Macro, 625 minutes (10 hours) were needed. Following by these results, it was shown that 1043 to 1877 (17 to 31 hours were saved. Therefore, we could save 45 to 63% for SPM, 62 to 75% for PACS work and 55 to 70% for total brain SPECT processing in 2007. Conclusions: On the basis of the number of studies, there was significant time saved when we applied Macro to brain SPECT processing and also it was shown that even though work is taken a little time, there is a possibility to save lots of time according to the number of studies. It gives time on technologist's side which makes radiological technologist more concentrate for patients and reduce probability of mistake. Appling Macro to brain SPECT processing helps for both of radiological technologists and patients and contribute to improve quality of hospital service.

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Detection of Macro-Aspartate Aminotransferase (AST) in an Asymptomatic Patient with Persistent Elevation of AST (지속적으로 AST가 증가된 무증상 환자에서 Macro-AST의 검출)

  • Yang, Eun Ju;Lim, Sung Soo;Shin, Kyeong Seob
    • Korean Journal of Clinical Laboratory Science
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    • v.53 no.2
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    • pp.188-192
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    • 2021
  • The persistent increase of aspartate aminotransferase (AST) due to the presence of a macro-AST can confuse diagnostic or therapeutic decisions in many clinical situations. In this study, we report a case of isolated and persistent AST-elevation without any clinical sign of dysfunction in organs such as the liver, skeletal muscle, cardiac muscle, etc. Despite various investigations, no definite cause for the elevation of AST could be found. With the help of polyethylene glycol (PEG) precipitation, we showed that macro-AST formation was responsible for the elevation of the AST titer in this case. Early recognition of macro-AST by PEG precipitation can prevent diagnostic confusion and unnecessary and even invasive tests.

Proposed Guidelines for Selection of Methods for Erosion-corrosion testing in Flowing Liquids

  • Matsumura, Masanobu
    • Corrosion Science and Technology
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    • v.6 no.6
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    • pp.291-296
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    • 2007
  • The corrosion of metals and alloys in flowing liquids can be classified into uniform corrosion and localized corrosion which may be categorized as follows. (1) Localized corrosion of the erosion-corrosion type: the protective oxide layer is assumed to be removed from the metal surface by shear stress or turbulence of the fluid flow. A macro-cell may be defined as a situation in which the bare surface is the macro-anode and the other surface covered with the oxide layer is the macro-cathode. (2) Localized corrosion of the differential flow-velocity corrosion type: at a location of lower fluid velocity, a thin and coarse oxide layer with poor protective qualities may be produced because of an insufficient supply of oxygen. A macro-cell may be defined as a situation in which this surface is the macro-anode and the other surface covered with a dense and stable oxide layer is the macro-cathode. (3) Localized corrosion of the active/passive-cell type: on a metal surface a macro-cell may be defined as a situation in which a part of it is in a passivation state and another in an active dissolution state. This situation may arise from differences in temperature as well as in the supply of the dissolved oxygen. Compared to uniform corrosion, localized corrosion tends to involve a higher wall thinning rate (corrosion rate) due to the macro-cell current as well as to the ratio of the surface area of the macro-anode to that of the macro-cathode, which may be rationalized using potential vs. current density diagrams. The three types of localized corrosion described above can be reproduced in a Jet-in-slit test by changing the flow direction of the test liquid and arranging environmental conditions in an appropriate manner.

SPICE Macro-Model for Magnetic Tunnel Junction (Magnetic Tunnel Junction의 SPICE Macro-Model)

  • 홍승균;송상헌;김수원
    • Journal of the Institute of Electronics Engineers of Korea SD
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    • v.40 no.2
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    • pp.98-103
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    • 2003
  • This paper proposes new SPICE Macro-Model of Magnetic Tunnel Junction (MTJ) This Macro-Model has five I/O terminals, reproduces MTJ MR characteristics including hysteresis and behaves correctly to time varying input signals. Furthermore, this Model can be easily modified to various MTJs with different characteristics by simply varying internal parameters.

Coordinated Control of a Macro/Micro Robot with Separate Controllers (제어기가 분리 설계된 매크로/마이크로 로봇의 공동작용 제어)

  • Hwang, Jung-Hun;Kwon, Dong-Soo
    • Journal of Institute of Control, Robotics and Systems
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    • v.6 no.3
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    • pp.309-316
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    • 2000
  • A coordination method for a macro/micro robot with separate controllers is proposed and evaluated. The macro/micro robot system generally has independent controllers for the macro and the micro robot respectively. A controller for the coordination of the macro and the micro robot has been designed based on the stable independent controller of each system. The method and trajectory generation method is also proposed to track the moving desired position rapidly. The control method and trajectory generation method is also proposed to track the moving desired position rapidly. The control strategy has been implemented to the macro/micron robot system to evaluate the performance. The experimental results show that the proposed method for maintaining the micro robot within its workspace has uniform performance over the various range of the bandwidth and the proposed trajectory generator is shown to be efficient.

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Macro-Model of Magnetic Tunnel Junction for STT-MRAM including Dynamic Behavior

  • Kim, Kyungmin;Yoo, Changsik
    • JSTS:Journal of Semiconductor Technology and Science
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    • v.14 no.6
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    • pp.728-732
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    • 2014
  • Macro-model of magnetic tunnel junction (MTJ) for spin transfer torque magnetic random access memory (STT-MRAM) has been developed. The macro-model can describe the dynamic behavior such as the state change of MTJ as a function of the pulse width of driving current and voltage. The statistical behavior has been included in the model to represent the variation of the MTJ characteristic due to process variation. The macro-model has been developed in Verilog-A.