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Efficient Implementation of SVM-Based Speech/Music Classifier by Utilizing Temporal Locality (시간적 근접성 향상을 통한 효율적인 SVM 기반 음성/음악 분류기의 구현 방법)

  • Lim, Chung-Soo;Chang, Joon-Hyuk
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.49 no.2
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    • pp.149-156
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    • 2012
  • Support vector machines (SVMs) are well known for their pattern recognition capability, but proper care should be taken to alleviate their inherent implementation cost resulting from high computational intensity and memory requirement, especially in embedded systems where only limited resources are available. Since the memory requirement determined by the dimensionality and the number of support vectors is generally too high for a cache in embedded systems to accomodate, frequent accesses to the main memory occur inevitably whenever the cache is not able to provide requested data to the processor. These frequent accesses to the main memory result in overall performance degradation and increased energy consumption because a memory access typically takes longer and consumes more energy than a cache access or a register access. In this paper, we propose a technique that reduces the number of main memory accesses by optimizing the data access pattern of the SVM-based classifier in such a way that the temporal locality of the accesses increases, fully utilizing data loaded into the processor chip. With experiments, we confirm the enhancement made by the proposed technique in terms of the number of memory accesses, overall execution time, and energy consumption.

The 64-Bit Scrambler Design of the OFDM Modulation for Vehicles Communications Technology (차량 통신 기술을 위한 OFDM 모듈레이션의 64-비트 스크램블러 설계)

  • Lee, Dae-Sik
    • Journal of Internet Computing and Services
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    • v.14 no.1
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    • pp.15-22
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    • 2013
  • WAVE(Wireless Access for Vehicular Environment) is new concepts and Vehicles communications technology using for ITS(Intelligent Transportation Systems) service by IEEE standard 802.11p. Also it increases the efficiency and safety of the traffic on the road. However, the efficiency of Scrambler bit computational algorithms of OFDM modulation in WAVE systems will fall as it is not able to process in parallel in terms of hardware and software. This paper proposes an algorithm to configure 64-bits matrix table in scambler bit computation as well as an algorithm to compute 64-bits matrix table and input data in parallel. The proposed algorithm on this thesis is executed using 64-bits matrix table. In the result, the processing speed for 1 and 1000 times is improved about 40.08% ~ 40.27% and processing rate per sec is performed more than 468.35 compared to bit operation scramble. And processing speed for 1 and 1000 times is improved about 7.53% ~ 7.84% and processing rate per sec is performed more than 91.44 compared to 32-bits operation scramble. Therefore, if the 64 bit-CPU is used for 64-bits executable scramble algorithm, it is improved more than 40% compare to 32-bits scrambler.

Effect of consumption propensity on purchase motive of cosmetics of female college students (여대생의 소비성향이 화장품 구매동기에 미치는 영향)

  • Lim, Sae-Mee;Lee, In-Hee
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.18 no.9
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    • pp.267-280
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    • 2017
  • The purpose of this study is to provide cosmetic companies and research institutes with basic data regardingthe development of marketing by making out the influence and characteristics of consumption. A total of 506 questionnaires were used as analysis for the questionnaire survey of twenty female college students who purchased cosmetics within sixmonths in Seoul and the metropolitan area. Consumption propensity varied characteristics depending on the degree of makeup, average number of purchases, main reason for using cosmetics, and where to buy cosmetics. Motivation for purchasing cosmetics varied characteristics depending on the largest skin problem, the degree of usual makeup, the average number of times cosmetics were purchased, and the main reason forusing cosmetics. The results revealed thepropensities of saving resources, planned purchases, consciousness to others, and impulse buying have significant effects on the cosmetic purchase motives of product conversion, being others-oriented, economicsand pursuing beauty(P<0.05).Consequently, this study hopes to contribute to the development of cosmetics companies and research institutes by providingbasic data forfuture development of productsas well as formarketing strategiesusing customer psychology by referring to various perspectives ofconsumer direction and desired purchase behavior.

The Association between Environmental Tobacco Smoke and Periodontal Health: Finding from Korean National Health and Nutrition Examination Survey 2008~2009 (간접흡연과 치주건강의 관련성: 2008~2009 국민건강영양조사 자료분석 결과)

  • Kim, Jin Kyoung;Baek, Hye-Jin;Lee, Young-Eun;Song, Keun-Bae;Choi, Youn-Hee
    • Journal of dental hygiene science
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    • v.14 no.2
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    • pp.123-131
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    • 2014
  • Environmental tobacco smoke (ETS) or second hand smoke or passive smoking has become a well-known risk factor for various health hazards in nonsmoking adults as well as active smokers. In Korea, there have been few studies concerning about the impact of ETS on periodontal health. Therefore, the aim of this study was to investigate the association between exposure to passive smoking and prevalence of periodontitis using Korea National Health and Nutrition Examination Survey (KNHANES) in 2008 and 2009. The Fourth KNHANES data was employed from 2008~2009. The final sample size was 4,669 adults aged over 18 years, who were never-smoker and had the information about ETS both at home and in the workplace, urine analysis and periodontal examination by Community Periodontal Index (CPI). Periodontitis was defined as CPI codes ${\geq}3$. Data were analyzed using PASW Statistics 18.0. The sociodemographic and behavioral factors were adjusted as confounders. Overall, 17.1% (male 16.4%, female 83.6%) of the participants were exposed to ETS. The mean concentration of cotinine in those exposed ETS was significantly higher than that in unexposed people ($46.92{\mu}g/ml$ versus $19.34{\mu}g/ml$, p<0.001). Participants exposed to ETS were more likely to have periodontitis than those unexposed after adjusting for potential confounding variables. ETS is associated with the prevalence of periodontitis in Korean adults. This may suggest that patients with periodontitis or periodontal surgery should be protected from smokers or smoking places.

MOC: A Multiple-Object Clustering Scheme for High Performance of Page-out in BSD VM (MOC: 다중 오브젝트 클러스터링을 통한 BSD VM의 페이지-아웃 성능 향상)

  • Yang, Jong-Cheol;Ahn, Woo-Hyun;Oh, Jae-Won
    • Journal of KIISE:Computer Systems and Theory
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    • v.36 no.6
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    • pp.476-487
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    • 2009
  • The virtual memory system in 4.4 BSD operating systems exploits a clustering scheme to reduce disk I/Os in paging out (or flushing) modified pages that are intended to be replaced in order to make free rooms in memory. Upon the page out of a victim page, the scheme stores a cluster (or group) of modified pages contiguous with the victim in the virtual address space to swap disk at a single disk write. However, it fails to find large clusters of contiguous pages if applications change pages not adjacent with each other in the virtual address space. To address the problem, we propose a new clustering scheme called Multiple-Object Clustering (MOC), which together stores multiple clusters in the virtual address space at a single disk write instead of paging out the clusters to swap space at separate disk I/Os. This multiple-cluster transfer allows the virtual memory system to significantly decrease disk writes, thus improving the page-out performance. Our experiments in the FreeBSD 6.2 show that MOC improves the execution times of realistic benchmarks such as NS2, Scimark2 SOR, and nbench LU over the traditional clustering scheme ranging from 9 to 45%.

A Pruning Algorithm for Network Structure Optimization in the Forecasting Climate System Using Neural Network (신경망을 이용한 기상예측시스템에서 망구조 최적화를 위한 Pruning 알고리즘)

  • Lee, Kee-Jun;Kang, Myung-A;Jung, Chai-Yeoung
    • The Transactions of the Korea Information Processing Society
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    • v.7 no.2
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    • pp.385-391
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    • 2000
  • Recently, neural network research for forecasting the consecutive controlling rules of the future is being progressed, using the series data which are different from the traditional statistical analysis methods. In this paper, we suggest the pruning algorithm for the fast and exact weather forecast that excludes the hidden layer of the early optional designed nenral network. There are perform the weather forecast experiments using the 22080 kinds of weather data gathered from 1987 to 1996 for proving the efficiency of this suggested algorithm. Through the experiments, the early optional composed $26{\times}50{\times}1$ nenral network became the most suitable $26{\times}2{\times}1$ structure through the pruning algorithm suggested, in the optimum neural network $26{\times}2{\times}1$, in the case of the error temperature ${\pm}0.5^{\circ}C$, the average was 33.55%, in the case of ${\pm}1^{\circ}C$, the average was 61.57%, they showed more superior than the average 29.31% and 54.47% of the optional designed structure, also. we can reduce the calculation frequency more than maximum 25 times as compared with the optional sturcture neural network in the calculation frequencies.

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Development of Hybrid Vision Correction Algorithm (Hybrid Vision Correction Algorithm의 개발)

  • Ryu, Yong Min;Lee, Eui Hoon
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.22 no.1
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    • pp.61-73
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    • 2021
  • Metaheuristic search methods have been developed to solve problems with a range of purpose functions in situations lacking information and time constraints. In this study, the Hybrid Vision Correction Algorithm (HVCA), which enhances the performance of the Vision Correction Algorithm (VCA), was developed. The HVCA has applied two methods to improve the performance of VCA. The first method changes the parameters required by the user for self-adaptive parameters. The second method, the CGS structure of the Exponential Bandwidth Harmony Search With a Centralized Global Search (EBHS-CGS), was added to the HVCA. The HVCA consists of two structures: CGS and VCA. To use the two structures, a method was applied to increase the probability of selecting the structure with the optimal value as it was performed. The optimization problem was applied to determine the performance of the HVCA, and the results were compared with Harmony Search (HS), Improved Harmony Search (IHS), and VCA. The HVCA improved the number of times to find the optimal value during 100 repetitions compared to HS, IHS, and VCA. Moreover, the HVCA reduced the Number of Function Evaluations (NFEs). Therefore, the performance of the HVCA has been improved.

Installation Damage Assessment of Geogrids by Laboratory Tester (실내 시험기에 의한 지오그리드의 시공 시 손상 평가)

  • Jeon, Han-Yong;Jin, Yong-Bum;Jang, Yeon-Soo;Yoo, Chung-Sik
    • Journal of the Korean Geotechnical Society
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    • v.23 no.7
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    • pp.77-86
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    • 2007
  • Installation damage of 3 types of geogrids was evaluated with compaction condition by laboratory tester. This experimental was in accordance with ENV ISO 10722-1. First, soil distribution and water content were conducted. And then we changed cyclic loading time and type of geogrids as a factor of installation damage. The samples are woven, warp-knitted, welded type of 6, 8, 10T. This study aims to give an insight into the relationships between installation damage and cyclic loading time. The result of studies was that strength of the damaged geogrids can be closely correlated with the time of loading cycles. Especially, welded type shows slower slope than two types of geogrids due to coating materials. That means welded type is coated with PP (Polypropylene), but the other two types of geogrids are coated with PVC (Polyvinyl Chloride). To confirm another factor different method was performed. The size of soil was used between 9.5 mm and 23.5 m to compare initial experimental. Cyclic loading compaction is taken 200 times before installation test and the reason is that the reduction factor of this case by installation damage was higher than other compaction loading conditions.

Exploring Pre-service Earth Science Teachers' Perceptions about Learning on Geological Field Trip (야외지질학습에 대한 예비 중등 지구과학 교사의 인식 탐색)

  • Choi, Yoon-Sung;Kim, Chan-Jong;Choe, Seung-Urn
    • Journal of the Korean earth science society
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    • v.39 no.3
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    • pp.291-302
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    • 2018
  • The purpose of this study is to investigate pre-service middle school earth science teachers' perceptions about the learning of geological field trip. The study sample consists of 39 undergraduate students at the university located in a metropolitan city. Additionally, 4 pre-service earth science teachers are semi-structure interviewed. The instrument of the study includes a 5-category perception about the learning of geological field trip, which consists of needs, educational values, educational experience, teaching methods, and training for learning. The results are as follows. First, participants are important to the need and educational values of learning about the geological field trip regardless of gender and grade level. Second, all participants have experienced geological field trip in college. They have more opportunities to experiment for field trip as they advance to higher grade. There is significant difference between lower and higher graders in terms of the goal of learning about geological field trip. It needs a new lesson model to teach geology between men and women regarding teaching methods category. In order to practice geological field trip in school, participants perceive that they need the knowledge of geological context, experiment of field trips, and how to teach geological field trip to students. This study suggests that pre-service earth science teachers' perceptions include how to teach and learn geological field trip during their college year.

The Decoding Approaches of Genetic Algorithm for Job Shop Scheduling Problem (Job Shop 일정계획 문제 풀이를 위한 유전 알고리즘의 복호화 방법)

  • Kim, Jun Woo
    • The Journal of Information Systems
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    • v.25 no.4
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    • pp.105-119
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    • 2016
  • Purpose The conventional solution methods for production scheduling problems typically focus on the active schedules, which result in short makespans. However, the active schedules are more difficult to generate than the semi active schedules. In other words, semi active schedule based search strategy may help to reduce the computational costs associated with production scheduling. In this context, this paper aims to compare the performances of active schedule based and semi active schedule based search methods for production scheduling problems. Design/methodology/approach Two decoding approaches, active schedule decoding and semi active schedule decoding, are introduced in this paper, and they are used to implement genetic algorithms for classical job shop scheduling problem. The permutation representation is adopted by the genetic algorithms, and the decoding approaches are used to obtain a feasible schedule from a sequence of given operations. Findings The semi active schedule based genetic algorithm requires slightly more iterations in order to find the optimal schedule, while its execution time is quite shorter than active schedule based genetic algorithm. Moreover, the operations of semi active schedule decoding is easy to understand and implement. Consequently, this paper concludes that semi active schedule based search methods also can be useful if effective search strategies are given.