• Transactions of the Korean Society of Mechanical Engineers
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• v.17 no.8
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• pp.1883-1897
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• 1993

Interactive computer-aided analysis of mechanical systems has recently been undergoing an evolution due to highly efficient computer graphics. The industrial implementation of state-of-the-art analytical developments in mechanisms has been facilitated by computer-aided design packages because these rigid-body mechanism analysis programs dramatically reduce the time required for linkage design. This paper proposes a component modular approach to computeraided kinematic motion analysis for general planar multiloop mechanisms. Most multiloop mechanisms can be decomposed into serveral components. The kinematic properties (position, velocity, and acceleration) of every node can then be determined from the kinematic analysis of the corresponding component modules by a closed-form solution procedure. In this paper, 8 types of modules are defined and formulations for kinematic analysis of the component modules are derived. Then a computer-aided kinematic analysis program is developed using the proposed approach and the solution procedure of an example shows the effectiveness and accuracy on the approach.

• Journal of Korea Multimedia Society
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• v.25 no.2
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• pp.215-220
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• 2022

Emotion recognition is one of the most important and challenging areas of computer vision. Nowadays, many studies on emotion recognition were conducted and the performance of models is also improving. but, more research is needed on emotion recognition and sentiment analysis of video viewers. In this paper, we propose an emotion analysis system the includes a sentiment analysis model and an interest prediction model. We analyzed the emotional patterns of people watching popular and unpopular videos and predicted the level of interest using the emotion analysis system. Experimental results showed that certain emotions were strongly related to the popularity of videos and the interest prediction model had high accuracy in predicting the level of interest.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.12 no.7
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• pp.3421-3437
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• 2018

With the enlargement of wireless technology, vehicular ad-hoc networks (VANETs) are rising as a hopeful way to realize smart cities and address a lot of vital transportation problems such as road security, convenience, and efficiency. To achieve data confidentiality, integrity and authentication applying lightweight cryptosystems is widely recognized as a rather efficient approach for the VANETs. The Khudra cipher is such a lightweight cryptosystem with a typical Generalized Feistel Network, and supports 80-bit secret key. Up to now, little research of fault analysis has been devoted to attacking Khudra. On the basis of the single nibble-oriented fault model, we propose a differential fault analysis on Khudra. The attack can recover its 80-bit secret key by introducing only 2 faults. The results in this study will provides vital references for the security evaluations of other lightweight ciphers in the VANETs.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.9 no.2
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• pp.793-810
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• 2015

The TWINE is a new Generalized Feistel Structure (GFS) lightweight cryptosystem in the Internet of Things. It has 36 rounds and the key lengths support 80 bits and 128 bits, which are flexible to provide security for the RFID, smart cards and other highly-constrained devices. Due to the strong attacking ability, fast speed, simple implementation and other characteristics, the differential fault analysis has become an important method to evaluate the security of lightweight cryptosystems. On the basis of the 4-bit fault model and the differential analysis, we propose an effective differential fault attack on the TWINE cryptosystem. Mathematical analysis and simulating experiments show that the attack could recover its 80-bit and 128-bit secret keys by introducing 8 faulty ciphertexts and 18 faulty ciphertexts on average, respectively. The result in this study describes that the TWINE is vulnerable to differential fault analysis. It will be beneficial to the analysis of the same type of other iterated lightweight cryptosystems in the Internet of Things.

• 전기의세계
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• v.23 no.1
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• pp.61-68
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• 1974

This paper attempts to develop the algorithms and computer program for load flow solution and faults analysis of large power system by small digital computer. The Conventional methods for load flow solution and fault analysis of large power system require too much amount of computer memory space and computing time. Therefore, this paper describes the methad for reducing the computer memory space and computing time as follows. (1) Load Flow Solution; This method is to store each primitive impedance of lines along with a list of bus numbers corresponding to the both terminals of lines, and to store only nonzero element of bus admittance matrix. (2) Faults Analysis: This method is to partition a large power system into several groups of subsystems, form individual bus impedance matrix, store them in the storage, and assemble the only required portion of them to original total system by algorithm.

• Proceedings of the Korea Society of Design Studies Conference
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• 2004.05a
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• pp.250-251
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• 2004

• Journal of Korean Society of Transportation
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• v.4 no.2
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• pp.59-72
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• 1986

The purposes of this paper are to review the concept and system structure of computer graphics and to discuss the applicability of computer graphics technique as an analysis tool in transportation studies. To do this, several applications of computer graphics used for analyzing and solving transportation system problems were described and illustrated. The results indicate that computer graphics are found to be powerful aids to the analysis and design of transportation systems that typically involve large data bases and several interacting components. The results also indicate that computer graphics can be a powerful tool for aiding planner, decision maker and citizen in making it easier to explain and interpret information through mapping and graphic display.

• Proceedings of the Korean Society of Computer Information Conference
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• 2021.01a
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• pp.95-96
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• 2021

본 논문에서는, 서울시 자치구별 공공데이터를 활용한 분석 정보를 통해, 도시가 어떤 구조와 산업으로 형성되었는지 알아본다. 데이터 분석을 통해 얻어진 서울의 특징과 도시(자치구별)의 교통 측면, 상업, 데이터에서 발견한 정보를 통해 도시 특성과 구조를 알아본다. 본 논문에서 연구한 결과는 스마트 도시 정책에 활용하여 도시 기본 설계시 교통, 주거, 상업 등의 효율성을 증대 시키는데 기본 자료로 활용할 수 있다.

• Journal of the Korean Data and Information Science Society
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• v.18 no.2
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• pp.357-364
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• 2007

This article has tried to identify the preferred subjects of after school computer educations in elementary schools by means of the conjoint analysis. We surveyed the fourth, fifth and sixth grade students from the three schools in Seoul. It has been found that graphic related courses are most preferred, though such courses are taught in public schools. Based on this research, we propose a new curriculum for after school computer education.

• Journal of Korean Society for Quality Management
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• v.12 no.1
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• pp.17-30
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• 1984

A computer method is developed for group technology layout and its simulation analysis. The method is composed of three phases: Phase I sorts the parts by its similar production routes and forms part families. Phase II plots the layout by machine cell and evaluates the group layout alternatives by the total process time analysis and the part travel distance evaluation analysis. Phase III also evaluates the alternatives by simulation analysis using SIMAN simulation software. All the computer programs are developed with BASIC except SIMAN simulation.