• Transactions of the Korean Society of Machine Tool Engineers
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• v.13 no.1
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• pp.35-47
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• 2004

In this paper presents a new approach to the design and real-time implementation of fuzzy control system based-on digital signal processors(DSP:IMS320C80) in order to improve the precision and robustness for system of industrial robot(Dual-Arm with 8 joint Robot). The need to meet demanding control requirement in increasingly complex dynamical control systems under significant uncertainties, leads toward design of intelligent manipulation robots. The IMS320C80 is used in implementing real time fuzzy control to provide an enhanced motion control for robot manipulators. In this paper, a Self-Organizing Fuzzy Controller(SOFC) for the industrial robot manipulator with a actuator located at the base is studied. A fuzzy logic composed of linguistic conditional statements is employed by defining the relations of input-output variables of the controller. In the synthesis of a FLC(Fuzzy Logic Controller), one of the most difficult problems is the determination of linguistic control rules from the human operators. To overcome this difficult SOFC is proposed for a hierarchical control structure consisting of basic and high levels that modify control rules. The proposed SOFC scheme is simple in structure, Int in computation, and suitable for implementation of real-time control. Performance of the SOFC is illustrated by simulation and experimental results for a Dual-Arm robot with eight joints.

• Journal of the Institute of Convergence Signal Processing
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• v.2 no.4
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• pp.91-96
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• 2001

In this paper we propose a new ENMODL(Enhanced-NORA-MODL) CLA(Carry-Look Ahead Adder) for high speed and low power multiplier. To reduce transistor counts, area and power dissipation we developed new-approaches. The method makes use of a dynamic CMOS logic ENMODL CLA. The advantage of ENMODL is small area and high speed The speed of ENMODL CLA is invreased by 6.27 % as compared with conventional NMOCL CLA. The proposed method was verified by HSPICE simulation and layout througth 0.6${\mu}{\textrm}{m}$ CMOS process.

• Journal of the Korea Society of Computer and Information
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• v.11 no.1 s.39
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• pp.11-18
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• 2006

The logical analysis of data(LAD) is a Boolean-logic based data mining tool. A critical step in analyzing data by LAD is the pattern generation stage where useful knowledge and hidden structural information in data is discovered in the form of patterns. A conventional method for pattern generation in LAD is based on term enumeration that renders the generation of higher degree patterns practically impossible. In this paper, we present a novel optimization-based pattern generation methodology and propose two mathematical programming models, a mixed 0-1 integer and linear programming (MILP) formulation and a well-studied set covering problem (SCP) formulation for the generation of optimal and heuristic patterns, respectively. With benchmark datasets, we demonstrate the effectiveness of our models by automatically generating with ease patterns of high complexity that cannot be generated with the conventional approach.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.14 no.4
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• pp.256-267
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• 2014

An automatic switch among ensembles of clustering algorithms is proposed as a part of the bibliographic big data retrieval system by utilizing a fuzzy inference engine as a decision support tool to select the fastest performing clustering algorithm between fuzzy C-means (FCM) clustering, Newman-Girvan clustering, and the combination of both. It aims to realize the best clustering performance with the reduction of computational complexity from O($n^3$) to O(n). The automatic switch is developed by using fuzzy logic controller written in Java and accepts 3 inputs from each clustering result, i.e., number of clusters, number of vertices, and time taken to complete the clustering process. The experimental results on PC (Intel Core i5-3210M at 2.50 GHz) demonstrates that the combination of both clustering algorithms is selected as the best performing algorithm in 20 out of 27 cases with the highest percentage of 83.99%, completed in 161 seconds. The self-adapted FCM is selected as the best performing algorithm in 4 cases and the Newman-Girvan is selected in 3 cases.The automatic switch is to be incorporated into the bibliographic big data retrieval system that focuses on visualization of fuzzy relationship using hybrid approach combining FCM and Newman-Girvan algorithm, and is planning to be released to the public through the Internet.

• Proceedings of KOSOMES biannual meeting
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• 2005.05a
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• pp.67-72
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• 2005

This paper aims to evaluates the operation efficiency with two inputs and four outputs with the use of DEA(Data Envelopment Analysis), a qualitative data analysis with the use of expert assessment in Korean RCC(Rescue Co-ordination Center)/RSC(Rescue Sub-Center). The tool for integrating heterogeneous data is model that applies fuzzy logic to decision support system In this paper, therefor, RCC/RSC evaluates the priority for operation efficiency. The result are found as order as Inchon, Mokpo, Jeju, Donghae, Busan, Pohang, Yosu, Sokcho, Tongyeong, Ulsan, Taean, Gunsan RSC.

• Proceedings of the KIEE Conference
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• 1996.07b
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• pp.1079-1082
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• 1996

To automate an excavator the control issues resulting from environmental uncertainties must be solved. In particular the interactions between the excavation tool and the excavation environment are dynamic, unstructured and complex. In addition, operating modes of an excavator depend on working conditions, which makes it difficult to derive the exact mathematical model of excavator. Even after the exact mathematical model is established, it is difficult to design of a controller because the system equations are highly nonlinear and the state variable are coupled. The objective of this study is to design a fuzzy logic controller(FLC) which controls the position of excavator's attachment. This approach enables the transfer of human heuristics and expert knowledge to the controller. Excavation experiments are carried out to check the performance of the FLC.

• Proceedings of the KSR Conference
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• 2008.11b
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• pp.1285-1293
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• 2008

Locking sheet is to display the contents of interlocking equipment for safe train drive in stations. It is being used as a basic information for interlocking equipment and for route control condition and the discussion for train operation between related parties. In spite of importance of this, there was no other way except depending on the work by hands from each stage(drawing, examination, discussion, approval) due to non-existing any tool. It is written it takes 30days from drawing to approval by procedures. However, it is required over the days in real time due to argument of each party. Furthermore on drawing of locking sheet, special conditions applied in accordance with situations of each station occasionally are different depending on the person in charge. Therefore, it is urgent to make up Logic Tree to accept special conditions of all stations. Automation Program for Drawing and Examination of Locking Sheet is to improve inefficient interlocking operation which was operated by hands in accordance with custom as automated system. The target of this program is to minimize the processing time and potential errors by personal work and set up standards for Logic Tree of special condition.

• The Research Journal of the Costume Culture
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• v.29 no.5
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• pp.694-705
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• 2021

Forming perceptions and having experiences through digital media is becoming more common than having in-person relationships in digital media environment. This study, which was conducted when Fashion Week transitioned to a digital platform in 2020, focuses on fashion shows that are announced through social media. The purpose of the study is to explore how traditional fashion media change through social media and what their media characteristics are from the perspective of remediation, which has been suggested by Bolter and Grusin (1999) as the logic of change in the new media. The results of the case analysis in this study, based on the definition and logic of remediation outlined through a literature review, are that social media fashion shows are remediated from traditional fashion shows in the manner that they are represented, improved, refashioned, and absorbed. The characteristics of remediation expressed in social-media-based fashion shows were derived from repurposed video content, improved the elements of fashion shows to express the shows in various ways, expanded places within the fashion shows, and decontextualized and visually flattened spatial discontinuity, and from genre transitions and perceptual shifts. Social-media-based fashion shows are becoming a tool to renew the fashion experience and views of fashion and strengthen the authenticity of the brand by interacting with the audience, improving on the spatial limitations of traditional fashion shows, and diversifying fashion presentation methods.

• Nuclear Engineering and Technology
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• v.55 no.1
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• pp.119-130
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• 2023

Among the various elements of probabilistic safety assessment (PSA), human failure events (HFEs) and their dependencies are major contributors to the quantification of risk of a nuclear power plant. Currently, the dependency among HFEs is reflected using a post-processing method in PSA, wherein several drawbacks, such as limited propagation of minimal cutsets through the fault tree and improper truncation of minimal cutsets exist. In this paper, we propose a method to model the HFE dependency directly in a fault tree using the if-then-else logic. The proposed method proved to be equivalent to the conventional post-processing method while addressing the drawbacks of the latter. We also developed a software tool to facilitate the implementation of the proposed method considering the need for modeling the dependency between multiple HFEs. We applied the proposed method to a specific case to demonstrate the drawbacks of the conventional post-processing method and the advantages of the proposed method. When applied appropriately under specific conditions, the direct fault-tree modeling of HFE dependency enhances the accuracy of the risk quantification and facilitates the analysis of minimal cutsets.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.20 no.4
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• pp.1-6
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• 2020

This paper proposes the design of an advanced S-Box for calculating multiplicative inverse in AES encryption process. In this approach, advanced S-box module is first designed based on composite field, and then the performance evaluation is performed for S-box with multi-stage pipelining architecture. In the proposed S-Box architecture, each module for multiplicative inverse is constructed using combinational logic for realizing both small-area and high-speed. Through logic synthesis result, the designed 3-stage pipelined S-Box shows speed improvement of about 28% compared to the conventional method. The proposed advanced AES S-Box is performed modelling at the mixed level using Verilog-HDL, and logic synthesis is also performed on Spartan 3s1500l FPGA using Xilinx ISE 14.7 tool.