• Title/Summary/Keyword: data driven tools

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SOLGER : A Layout Design System Based on $45^{\circ}C$ Corner-stitching (솔거: $45^{\circ}C$ Corner-stitching에 의거한 레이아웃 설계 시스템)

  • 김재범;정성태;이재황;전주식
    • Journal of the Korean Institute of Telematics and Electronics A
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    • v.29A no.9
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    • pp.65-75
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    • 1992
  • In this paper, we introduce an integrated layout design system, SOLGER. Our system incorporates useful design tools : a powerful layout editor, a coherent access mechanism for large volumes of design data, an incremental design rule checker for hierarchical design environment, node extractor and electrical rule checker, a technology capture which is used for defining technology-specific information, and a procedural design environment for user customization. Also, we present a modified corner-stitching data structure which allows 45$^{\circ}$-angled bilateral edges. Users are provided with a multi-window design environment and a menu-driven interface. SOLGER is being used for VLSI designs practically.

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Product-Mix Decision Using Lean Production and Activity-Based Costing: An Integrated Model

  • MOHSIN, Nidhal Mohammed Ridha;AL-BAYATI, Hossam Ahmed Mohamed;OLEIWI, Zahra Hasan
    • The Journal of Asian Finance, Economics and Business
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    • v.8 no.4
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    • pp.517-527
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    • 2021
  • While the two principles of lean manufacturing and time-driven activity-based costing (TDABC) have been established out of multiple incentives and do not follow the same particular targets, there is substantial commonality between them. In these conditions, the supply management of a multi-product system needs a rigorous production model to minimize costs. In this sense, this paper proposes an interactive model with the consideration of optimizing product-mix decisions using both lean development tools and TDABC. This paper proposes a qualitative approach using the case study of the Iraqi state company for battery production. The suggested model decreased manufacturing time and costs, along with some substantial reduction in idle production capacity by 26 percent in 2019, based on the findings of the case study. On the other hand, the proposed model gives two side advantages: an efficient division of costs on goods due to the use of time spent as a cost factor for products and cost savings due to the introduction of the lean manufacturing approach that reduces all additional costs and increases product-mix decisions. Furthermore, the analytical data gathered here suggests that the incorporation of lean management concepts and TDABC has a strong and important influence on product-mix decisions.

Programming and Verification of WAVE Multi-Channel Simulation Program based on the ns-2 (ns-2 기반 WAVE 멀티채널 시뮬레이션 프로그램 작성 및 검증)

  • Kang, Woo-Sung;Jung, Jin-Uk;Jin, Kyo-Hong
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.15 no.7
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    • pp.1471-1478
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    • 2011
  • A typical standard of vehicular ad hoc networks, WAVE which consists of IEEE 1609.x Family standards and IEEE 802.11p standard, includes the multi-channel coordination and channel synchronization function to provide safety services or public services during a car is driven. Generally, the performance of data communication and networking technologies is evaluated by using simulation tools, such as ns-2, OPNET, OPNET++, etc. However, these tools doesn't provide the operations of WAVE protocol. Therefore, in this paper, we implement and verify WAVE simulation program based on ns-2.

Timing analysis of RSFQ ALU circuit for the development of superconductive microprocessor (초전도 마이크로 프로세서개발을 위한 RSFQ ALU 회로의 타이밍 분석)

  • Kim J. Y;Baek S. H.;Kim S. H.;Kang J. H.
    • Progress in Superconductivity and Cryogenics
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    • v.7 no.1
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    • pp.9-12
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    • 2005
  • We have constructed an RSFQ 4-bit Arithmetic Logic Unit (ALU) in a pipelined structure. An ALU is a core element of a computer processor that performs arithmetic and logic operation on the operands in computer instruction words. We have simulated the circuit by using Josephson circuit simulation tools. We used simulation tools of XIC, $WRspice^{TM}$, and Julia. To make the circuit work faster, we used a forward clocking scheme. This required a careful design of timing between clock and data pulses in ALU. The RSFQ 1-bit block of ALU used in constructing the 4-bit ALU was consisted of three DC current driven SFQ switches and a half-adder. By commutating output ports of the half adder, we could produce AND, OR, XOR, or ADD functions. The circuit size of the 4-bit ALU when fabricated was 3 mm x 1.5 mm, fitting in a 5 mm x 5mm chip. The fabricated 4-bit ALU operated correctly at 5 GHz clock frequency. The chip was tested at the liquid-helium temperature.

Voice Driven Sound Sketch for Animation Authoring Tools (애니메이션 저작도구를 위한 음성 기반 음향 스케치)

  • Kwon, Soon-Il
    • The Journal of the Korea Contents Association
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    • v.10 no.4
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    • pp.1-9
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    • 2010
  • Authoring tools for sketching the motion of characters to be animated have been studied. However the natural interface for sound editing has not been sufficiently studied. In this paper, I present a novel method that sound sample is selected by speaking sound-imitation words(onomatopoeia). Experiment with the method based on statistical models, which is generally used for pattern recognition, showed up to 97% in the accuracy of recognition. In addition, to address the difficulty of data collection for newly enrolled sound samples, the GLR Test based on only one sample of each sound-imitation word showed almost the same accuracy as the previous method.

Impact of molybdenum cross sections on FHR analysis

  • Ramey, Kyle M.;Margulis, Marat;Read, Nathaniel;Shwageraus, Eugene;Petrovic, Bojan
    • Nuclear Engineering and Technology
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    • v.54 no.3
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    • pp.817-825
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    • 2022
  • A recent benchmarking effort, under the auspices of the Organization for Economic Cooperation and Development (OECD) Nuclear Energy Agency (NEA), has been made to evaluate the current state of modeling and simulation tools available to model fluoride salt-cooled high temperature reactors (FHRs). The FHR benchmarking effort considered in this work consists of several cases evaluating the neutronic parameters of a 2D prismatic FHR fuel assembly model using the participants' choice of simulation tools. Benchmark participants blindly submitted results for comparison with overall good agreement, except for some which significantly differed on cases utilizing a molybdenum-bearing control rod. Participants utilizing more recently updated explicit isotopic cross sections had consistent results, whereas those using elemental molybdenum cross sections observed reactivity differences on the order of thousands of pcm relative to their peers. Through a series of supporting tests, the authors attribute the differences as being nuclear data driven from using older legacy elemental molybdenum cross sections. Quantitative analysis is conducted on the control rod to identify spectral, reaction rate, and cross section phenomena responsible for the observed differences. Results confirm the observed differences are attributable to the use of elemental cross sections which overestimate the reaction rates in strong resonance channels.

Worker-Driven Service Development Tool for Smart Factory

  • Lee, Jin-Heung
    • Journal of the Korea Society of Computer and Information
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    • v.25 no.7
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    • pp.143-150
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    • 2020
  • Recently, many companies are interested in smart factory services. Because various smart factory services are provided by the combination of mobile devices, cloud computing, and IoT services. However, many workers turn away from these systems because most of them are not implemented from the worker's point of view. To solve this, we implemented a development tool that allows field workers to produce their own services so that workers can easily create smart factory services. Manufacturing data is collected in real time from sensors which are connected to manufacturing facilities and stored within smart factory platforms. Implemented development tools can produce services such as monitoring, processing, analysis, and control of manufacturing data in drag-and-drop. The implemented system is effective for small manufacturing companies because of their environment: making various services quickly according to the company's purpose. In addition, it is assumed that this also will help workers' improve operation skills on running smart factories and fostering smart factory capable personnel.

Effect of Sports Psychology on Enhancing Consumer Purchase Intention for Retailers of Sports Shops: Literature Content Analysis

  • LEE, Jae-Hyung
    • Journal of Distribution Science
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    • v.19 no.4
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    • pp.5-13
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    • 2021
  • Purpose: The sporting field is one of the most lucrative industries that most producers would want to share and drive-in sales towards its direction. The purpose of the present study is to evaluate how sports psychology has become a useful discipline in enhancing consumer purchase intentions. Research design, data, and methodology: This study employs a qualitative coding method to analyze and interpret the data obtained with a PRISMA declaration for analytical purposes. Using Web QDA (Qualitative Data Analysis) online tools, the current study coded the data obtained. Results: According to the prior studies, marketers should go the extra mile of looking for what sports customers are looking for. They understand that one way to increase the customers' willingness to purchase their products is by looking into the specific things that the customers look for and enjoy in sports. Conclusions: After all, the present study concludes that most marketers need to apply the concepts of sports psychology to understand consumer purchase intentions in particular retail stores. Consumers are likely to be influenced by their peers or groups to make decisions driven towards purchasing given sports apparel and the retail store to purchase a product.

An XML-based DEVS Markup Language for Sharing Simulation Models on the Web (웹상에서의 시뮬레이션 모델 공유를 위한 XML 기반 DEVS 마크업 언어)

  • 김형도
    • Journal of the Korea Society for Simulation
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    • v.8 no.1
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    • pp.113-138
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    • 1999
  • Driven by the explosive expansion and acceptance of the Internet and its multimedia front-end, the Web, a new generation of the modeling and simulation tools have come up with the name of Web-Based Simulation (WBS). Most of WBS libraries inherit its powerful advantages from Java. However, there are cases where explicit specification of models or interface objects is more desirable than the black-box programs. This paper presents an XML-based DEVS (Discrete Event System Specification) markup language for sharing simulation models on the Web. DEVS provides a system-theoretic formalism for the language while XML supports platform-independent data access. This paper focuses on the design of such a language.

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Estimation of Brain Connectivity during Motor Imagery Tasks using Noise-Assisted Multivariate Empirical Mode Decomposition

  • Lee, Ki-Baek;Kim, Ko Keun;Song, Jaeseung;Ryu, Jiwoo;Kim, Youngjoo;Park, Cheolsoo
    • Journal of Electrical Engineering and Technology
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    • v.11 no.6
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    • pp.1812-1824
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    • 2016
  • The neural dynamics underlying the causal network during motor planning or imagery in the human brain are not well understood. The lack of signal processing tools suitable for the analysis of nonlinear and nonstationary electroencephalographic (EEG) hinders such analyses. In this study, noise-assisted multivariate empirical mode decomposition (NA-MEMD) is used to estimate the causal inference in the frequency domain, i.e., partial directed coherence (PDC). Natural and intrinsic oscillations corresponding to the motor imagery tasks can be extracted due to the data-driven approach of NA-MEMD, which does not employ predefined basis functions. Simulations based on synthetic data with a time delay between two signals demonstrated that NA-MEMD was the optimal method for estimating the delay between two signals. Furthermore, classification analysis of the motor imagery responses of 29 subjects revealed that NA-MEMD is a prerequisite process for estimating the causal network across multichannel EEG data during mental tasks.