• Title/Summary/Keyword: input-output table

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Design of Random Binary Sequence Generator using the Chaotic Map (혼돈맵을 사용한 난수성 2진 순서발생기의 설계)

  • Park, Kwang-Hyeon;Baek, Seung-Jae
    • The Journal of the Korea Contents Association
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    • v.8 no.7
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    • pp.53-57
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    • 2008
  • The discretized saw-tooth map with the 16-bit finite precision which is one of the 1-dimensional chaotic maps is designed, and the circuit of chaotic binary sequence generator using the discretized saw-tooth map is presented also in this brief. The real implementation of designed chaotic map is accomplished by connecting the input and output lines exactly according to the simplified Boolean functions of output variables obtained from truth table which is discretized. The random binary output sequences generated by mLFSR generator were used for the inputs of descretized saw-tooth map, and, by the descretized map, chaotic binary sequence which has more long period of 16 times minimally is generated as a results.

System of Culture Satellite Account (문화위성계정 체계)

  • Kim, Ji-Young
    • Communications for Statistical Applications and Methods
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    • v.17 no.6
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    • pp.879-889
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    • 2010
  • In this paper I summarize the compiling method of culture satellite account which has been recommended by international statistic organizations, and I suggest the required statistics which is need to compile Korean culture satellite account. Culture satellite account is recommended to be composed of five modules and each module has to has its specific function respectively. The first module is macro-information module, the second module is quantity/volume output module, the third module is characterization module, the fourth module is targeted analysis/analytical module, and the fifth module is documentation module. Each module is recommended to contain cultural demand and supply statistics of respective module from the first module to the fourth module.

Design of Fuzzy Inference-based Deterioration Diagnosis System through Different Image (차 영상을 통한 퍼지 추론 기반 열화 진단 시스템 설계)

  • Kim, Jong-Bum;Choi, Woo-Yong;Oh, Sung-Kwun;Kim, Young-Il
    • Journal of the Korean Institute of Intelligent Systems
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    • v.25 no.1
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    • pp.57-62
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    • 2015
  • In this paper, we design fuzzy inference-based deterioration diagnosis system through different image for rapid as well as efficient diagnosis of electrical equipments. When the deterioration diagnosis of the electrical equipment starts, abnormal state of assigned area is detected by comparing with the temperature of the first normal state of the area. Deterioration state of detected area is diagnosed by using fuzzy inference algorithm. In the fuzzy inference algorithm, fuzzy rules are defined by If-then form and are described as look-up table. Both temperature and its ensuing variation are used as input variables. While triangular membership function is used for the fuzzy input variables of fuzzy rules, singleton membership function is used for the output variable of fuzzy rules. The final output is calculated by using the center of gravity of fuzzy inference method. Experimental data acquired from individual electrical equipments is used in order to evaluate the output performance of the proposed system.

An analysis on CO2 emission of structural steel materials by strength using Input-Output LCA (산업연관분석법을 이용한 강도에 따른 구조용 강재의 이산화탄소 배출량 데이터 구축)

  • Hong, Tae-Hoon;Ji, Chang-Yoon;Jang, Min-Ho
    • Korean Journal of Construction Engineering and Management
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    • v.13 no.4
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    • pp.132-140
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    • 2012
  • Along with the increasing interest in environmental problems such as global warming, the South Korean government has established policies and regulations to reduce the amount of greenhouse gases, targeting a 30% reduction of $CO_2$ compared to business-as-usual levels by 2020. Thus, there have been many studies in construction field to control and reduce the amount of $CO_2$ emitted from buildings. $CO_2$ emission from the building construction could be obtained by using the life cycle assessment(LCA) methodology. In LCA, it is essential to have life cycle inventory(LCI) data of construction materials consisting of $CO_2$ emission data that have been defined and examined in a detailed way in order to obtain more accurate and detailed $CO_2$ emission of buildings. To date, however, the LCI data have been acquired only for the representative materials. Accordingly this study aimed to propose detailed $CO_2$ emission data for steel rebar and H-beam, which are the essential structural steel materials, by strength and type. To accomplish the objective, this study used Input-Output LCA methodology which is based on the Input-Output table. It is believed that the $CO_2$ emission data of steel materials acquired from this study would allow a more accurate assessment of $CO_2$ emission for diverse structural design alternatives.

Fiber Optic Interferometer Simulator (광섬유 간섭계 시뮬레이터)

  • Yang, Mun-Sang;Chong, Kyoung-Ho;Do, Jae-Chul;Lee, Young-Woo
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2008.05a
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    • pp.411-414
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    • 2008
  • The study is about simulation of optical circuit for oneself performance evaluation of Fiber Optic Gyro(FOG) closed-loop controller board. The Fiber Optic Interferometer Simulator is used a digital signal processing for cosine response specificity output of fiber optic coil about input rate. Response specificity of the fiber optic coil is $Vo(t)=K3[1+\cos\{K1(Vm(t)-Vm(t-{\tau}))+K2\}]$. Also the Fiber Optic Interferometer Simulator is able to confirm a output value with K1, K2 and K3 input. The fiber Optic Interferometer Simulator is able to oneself performance evaluation without fiber optical circuit. Because, it is the very same cosine response specificity of real fiber optic coil about input rate.

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The Impacts of Carbon Taxes by Region and Industry in Korea: Focusing on Energy-burning Greenhouse Gas Emissions (탄소세 도입의 지역별 및 산업별 영향 분석: 에너지 연소 온실가스 배출량을 중심으로)

  • Jongwook Park
    • Environmental and Resource Economics Review
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    • v.33 no.1
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    • pp.87-112
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    • 2024
  • This study estimates the regional input-output table and GHG emissions in 2019 and then analyzes the economic effects of carbon taxes by region and industry in Korea. The GHG emission, emission coefficient, and emission induction coefficient are estimated to be higher in manufacturing-oriented metropolitan provinces. The GHG emission coefficient in the same industry varies from region to region, which might reflect the standard of product classification, characteristics of production technology, and the regional differences in input structure. If a carbon tax is imposed, production costs are expected to increase and demand and production will decrease, especially in the manufacturing industry, which emits more GFG. On the other hand, the impact of carbon taxes on each region is not expected to vary significantly from region to region, which might be due to the fact that those differences are mitigated by industry-related effects. Since the impact of carbon taxes is expected to spread to the entire region, close cooperation between local governments is necessary in the process of implementing carbon neutrality in the future.

The Analysis of Economic Impact for Information Security Industry using Inter-Industry Analysis (산업연관분석을 이용한 정보보호 산업의 경제 파급효과 분석)

  • Jeong, Eun-Hee
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.13 no.1
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    • pp.72-80
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    • 2020
  • The information security industry is increasing in importance and market size due to the development of the fourth industry such as artificial intelligence, IoT and etc. This paper was analyzed the impact of the increasing information security industry on the domestic economy by using the Input-Output table. It was classified industrial sectors into information security products and information security services industries, and then reclassified the Input-Output table into 35 industries. And it was estimated the production inducement coefficient, the value-added inducement coefficient, employment inducement coefficient, and etc. The production inducement coefficients of the information security product and service industry are each 1.571, 1.802, and the value-added inducement coefficients of them are each 0.632, 0.997, and the employment inducement coefficients of them are each 2.494, 7.361. Only the value-added inducement coefficient of the information security service industry is slightly higher than the total industry, and the remaining inducement coefficients are all lower than the total industry. In addition, the information security product industry has no the forward and backward linkage effect, and the information security service industry has no the backward linkage effect. But it has the forward linkage effect. As a result of analyzing the economic ripple effect of the information security industry, the production inducement amounted to 359.9 trillion won, value-added inducement amounted to 164.8 trillion won, and employment inducement amounted to 803 thousand people.

Design and Implementation of a Scenario Composition Supporting Tool for Object-Oriented Integration Testing Using the Requirement Trace Table (요구사항 추적테이블을 이용한 객체지향 통합 테스트 시나리오 작성지원 도구의 설계 및 구현)

  • Choe, Sin-Hyeong;Han, Pan-Am
    • The KIPS Transactions:PartD
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    • v.9D no.4
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    • pp.651-658
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    • 2002
  • This paper suggests the scenario composition supporting method, which can be used to perform integration test based on specification, and implemented a scenario composition supporting tool. To compose scenario for object-oriented integration testing, requirement specification, Process definition table and program to table relation diagram are used. In addition, requirement trace table is created. It can check user's requirements, quickly and exactly, dividing former three fables into the stages of requirement analysis, design, and test. The output of scenario composition supporting tool plays a guide part in composing scenario. This tool can reduce scenario composition effort of quality for the checking team and prevent an omission of requirement and input of errors during the test.

Modelling the wide temperature range of steam table using the neural networks (신경회로망을 사용한 넓은 온도 범위의 증기표 모델링)

  • Lee, Tae-Hwan
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.10 no.11
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    • pp.2008-2013
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    • 2006
  • In numerical analysis on evaluating the thermal performance of the thermal equipment, numerical values of thermodynamic properties such as temperature, pressure, specific volume, enthalpy and entropy are required. But the steam table itself cannot be used without modelling. In this study applicability of neural networks in modelling the wide temperature range of wet saturated vapor region was examined. the multi-layer neural network consists of a input layer with 1 node, two hidden layers with 10 and 20 nodes respectively and a output layer with 6 nodes. Quadratic and cubic spline interpoations methods were also applied for comparison. Neural network model revealed similar percentage error to spline interpolation. From these results, it is confirmed that the neural networks could be powerful method in modelling the wide range of the steam table.

Estimation of Economic Value of the Performance Industry (공연산업의 경제적 파급효과 분석)

  • Bae, Ki-Hyung
    • The Journal of the Korea Contents Association
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    • v.13 no.1
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    • pp.147-155
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    • 2013
  • The purpose of this study is to analyze how much performance industry contribute to national economy by measuring economic effects of performance industry. To achieve the purpose of the study, the study uses an performance industry(theater, music and other arts, 390 sectors) Input-Output Table of yaer 2009 of korea bank. The results shows that performance industry induce 391.6 trillion won in the national production, 65.1 trillion won in the income inducement, 16.3 trillion won in the tax inducement. Especially the performance industry shows that production inducement coefficient is 1,387, Index of the power of dispersion is 0.020, index of the sensitivity of dispersion is 0.025, value-added inducement coefficient is 0.662, income inducement coefficient is 0.455, tax inducement coefficient is 0.046 and employment inducement coefficient is 0.010.