• Title/Summary/Keyword: Convergence pattern

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Crystal Growth of Sapphire (Sapphire 결정성장)

  • ;;S, Kimura
    • Journal of the Korean Ceramic Society
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    • v.23 no.1
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    • pp.21-26
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    • 1986
  • By the floating zone method with infrared radiation convergence type heater homogeneously $Cr^{3+}$ doped alu-mina single crystal was obtained. And sizx {1010} facets appeared at the surface of [0001] grown crystals. $ZrO_2$ and $HfO_2$ precipitated as secondary phase and were not doped in the crystals. We found that the dist-ribution of the secondary phase which was mainly located at the surface and the peripheral region was closely related to the flow pattern of melt zone.

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Agent Intrusion Detection Model In Attributed Environment

  • Jeong, Jong-Geun;Kim, Chul-Won
    • Journal of information and communication convergence engineering
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    • v.2 no.2
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    • pp.84-88
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    • 2004
  • Firewall is not perfectly prevent hacker, Intrusion Detection System(IDS) is considered a next generation security solution for more trusted network i and system security. We propose a agent IDS model in the different platforms that can detect intrusions in the expanded distributed host environment, since that is a drawback of existing IDS. Then we implement a prototype and verify validity. We use a pattern extraction agent so that we extract audit files needed in intrusion detection automatically even in other platforms.

Effects of Sleep Pattern on Regular Exercise and Mediating Effect of Subjective Health Status of Older People (노인의 수면패턴이 규칙적 운동에 미치는 영향과 주관적 건강상태의 매개효과)

  • Lee, Sungeun
    • The Journal of the Convergence on Culture Technology
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    • v.7 no.4
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    • pp.147-153
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    • 2021
  • The purpose of this study is to examine the effects of sleep pattern on regular exercise and to examine mediating effect of subjective health status in the relationship between sleep pattern and regular exercise of older people. For the purpose of the study, older people aged over 65 years old who participated in 2020 Social Survey conducted by Statistics Korea were analyzed. Multiple regression analyses were used and significance of mediating effect was examined using Sobel test for 4,567 older people. Results of the analyses showed that sleep pattern had a significant effect on regular exercise of older people. That is, having an appropriate sleep increased the possibility of doing regular exercise, so the direct effect of sleep pattern on regular exercise was found. Sleep pattern had a significant effect on subjective health status, so older people having an appropriate sleep perceive their subjective health status more positively. As for the mediating effect, subjective health status had partial mediating effects in the relationship between sleep pattern and regular exercise of older people. Results of this study show that sleep pattern of older people should be considered in intervention for improving practicing regular exercise.

Latent mobility pattern analysis of bus passengers with LDA (LDA 기법을 이용한 버스 승객의 잠재적 이동패턴 분석)

  • Cho, Ah;Lee, Kyung Hee;Cho, Wan Sup
    • Journal of the Korean Data and Information Science Society
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    • v.26 no.5
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    • pp.1061-1069
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    • 2015
  • Recently, transportation big data generated in the transportation sector has been widely used in the transportation policies making and efficient system management. Bus passengers' mobility patterns are useful insight for transportation policy maker to optimize bus lines and time intervals in a city. We propose a new methodology to discover mobility patterns by using transportation card data. We first estimate the bus stations where the passengers get-off because the transportation card data don't have the get-off information in most cities. We then applies LDA (Latent Dirichlet Allocation), the most representative topic modeling technique, to discover mobility patterns of bus passengers in Cheong-Ju city. To understand discovered patterns, we construct a data warehouse and perform multi-dimensional analysis by bus-route, region, time-period, and the mobility patterns (get-on/get-off station). In the case of Cheong Ju, we discovered mobility pattern 1 from suburban area to Cheong-Ju terminal, mobility pattern 2 from residential area to commercial area, mobility pattern 3 from school areas to commercial area.

Local Prominent Directional Pattern for Gender Recognition of Facial Photographs and Sketches (Local Prominent Directional Pattern을 이용한 얼굴 사진과 스케치 영상 성별인식 방법)

  • Makhmudkhujaev, Farkhod;Chae, Oksam
    • Convergence Security Journal
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    • v.19 no.2
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    • pp.91-104
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    • 2019
  • In this paper, we present a novel local descriptor, Local Prominent Directional Pattern (LPDP), to represent the description of facial images for gender recognition purpose. To achieve a clearly discriminative representation of local shape, presented method encodes a target pixel with the prominent directional variations in local structure from an analysis of statistics encompassed in the histogram of such directional variations. Use of the statistical information comes from the observation that a local neighboring region, having an edge going through it, demonstrate similar gradient directions, and hence, the prominent accumulations, accumulated from such gradient directions provide a solid base to represent the shape of that local structure. Unlike the sole use of gradient direction of a target pixel in existing methods, our coding scheme selects prominent edge directions accumulated from more samples (e.g., surrounding neighboring pixels), which, in turn, minimizes the effect of noise by suppressing the noisy accumulations of single or fewer samples. In this way, the presented encoding strategy provides the more discriminative shape of local structures while ensuring robustness to subtle changes such as local noise. We conduct extensive experiments on gender recognition datasets containing a wide range of challenges such as illumination, expression, age, and pose variations as well as sketch images, and observe the better performance of LPDP descriptor against existing local descriptors.

Study on the Evolution pattern of Tea Industry Service Mode: Focusing on the Needs of Each Generation in GuangXi, China (차 산업 서비스 모델의 변천 패턴에 대한 연구 - 중국 광시 지역 세대별 니즈를 중심으로)

  • Ping, Li;Jang, Wansok;Pan, Yonghwan
    • Journal of the Korea Convergence Society
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    • v.12 no.6
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    • pp.65-74
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    • 2021
  • Since 2020, the GuangXi government of China has focused on the deep integration of tea industry with leisure and cultural tourism, popular science education, health care and elderly care industries. Among the output value targets of the tertiary industry, the GuangXi government plans to achieve 25 billion yuan, and the tea industry is developing rapidly. Through questionnaire survey, field research and interview, this paper studies the differences of demand behavior and selection attributes of tea products among consumers in different years, and finally studies the evolution pattern of service mode of tea industry in GuangXi. The results show that there are obvious differences in life and work style, shopping habits, service design, user experience, social needs and personality needs of each generation consumers in different years. Based on the analysis of demand and behavior habits of tea products, the evolution pattern of service mode of tea industry in GuangXi is studied. Based on the above results, according to the differences of consumers' choice of tea products in different years, the service mode of tea industry in GuangXi is improved The development of tea industry in service design, user experience level is worthy of in-depth attention.

Contact Transfer Printing Using Bi-layer Functionalized Nanobio Interface for Flexible Plasmonic Sensing

  • Lee, Jihye;Park, Jiyun;Lee, Junyoung;Yeo, Jong-Souk
    • Proceedings of the Korean Vacuum Society Conference
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    • 2014.02a
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    • pp.413-413
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    • 2014
  • In this paper, we present a fabrication method of functionalized gold nanostructures on flexible substrate that can be implemented for plasmonic sensing application. For biomolecular sensing, many researchers exploit unconventional lithography method like nanoimprint lithography (NIP), contact transfer lithography, soft lithography, colloidal transfer printing due to its usability and easy to functionalization. In particular, nanoimprint and contact transfer lithography need to have anti-adhesion layer for distinctive metallic properties on the flexible substrates. However, when metallic thin film was deposited on the anti-adhesion layer coated substrates, we discover much aggravation of the mold by repetitive use. Thus it would be impossible to get a high quality of metal nanostructure on the transferred substrate for developing flexible electronics based transfer printing. Here we demonstrate a method for nano-pillar mold and transfer the controllable nanoparticle array on the flexible substrates without an anti-adhesion layer. Also functionalization of gold was investigated by the different length of thiol applied for effectively localized surface plasmonic resonance sensing. First, a focused ion beam (FIB) and ICP-RIE are used to fabricate the nanoscale pillar array. Then gold metal layer is deposited onto the patterned nanostructure. The metallic 130 nm and 250 nm nanodisk pattern are transferred onto flexible polymer substrate by bi-layer functionalized contact imprinting which can be tunable surface energy interfaces. Different thiol reagents such as Thioglycolic acid (98%), 3-Mercaptopropionic acid (99%), 11-Mercaptoundecanoic acid (95%) and 16-Mercaptohexadecanoic acid (90%) are used. Overcoming the repeatedly usage of the anti-adhesion layer mold which has less uniformity and not washable interface, contact printing method using bi-layer gold array are not only expedient access to fabrication but also have distinctive properties including anti-adhesion layer free, functionalized bottom of the gold nano disk, repeatedly replicate the pattern on the flexible substrate. As a result we demonstrate the feasibility of flexible plasmonic sensing interface and anticipate that the method can be extended to variable application including the portable bio sensor via mass production of stable nanostructure array and other nanophotonic application.

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A Study on Channel Equalization in Time Varying Channels for Mobile Communication System (이동통신 시스템의 Time Varying 채널 환경에서 채널 등화에 관한 연구)

  • Park No-Jin;Kim Dong-Ok
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.10 no.1
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    • pp.29-35
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    • 2006
  • The third generation mobile communications system requiring the reliable multimedia data transmission has provided with the reliable voice, data and video services over the variable propagation environment. However the broadband wireless multiple access technologies cause Inter Symbol Interference(ISI) or Multiple Access Interference(MAI) to degrade the performance of CDMA(Code Division Multiple Access) system. Constant Modulus Algorithm which is frequently used as the adaptive blind equalizers to remove the interfering signal has ill-convergence phenomenon without proper initialization. In this paper, new blind equalization method based on conventional CMA is proposed to improve the channel efficiency, and through computer simulation this is tested over the time varying fading environment of mobile communication system. consequently, new blind equalization method into concatenated Kalman filter with CMA is verified better than conventional CMA through adopting minimum mean square errors and eye-pattern obtained from algorithm are compared.

A Study on the Machine Learning Model for Product Faulty Prediction in Internet of Things Environment (사물인터넷 환경에서 제품 불량 예측을 위한 기계 학습 모델에 관한 연구)

  • Ku, Jin-Hee
    • Journal of Convergence for Information Technology
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    • v.7 no.1
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    • pp.55-60
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    • 2017
  • In order to provide intelligent services without human intervention in the Internet of Things environment, it is necessary to analyze the big data generated by the IoT device and learn the normal pattern, and to predict the abnormal symptoms such as faulty or malfunction based on the learned normal pattern. The purpose of this study is to implement a machine learning model that can predict product failure by analyzing big data generated in various devices of product process. The machine learning model uses the big data analysis tool R because it needs to analyze based on existing data with a large volume. The data collected in the product process include the information about product faulty, so supervised learning model is used. As a result of the study, I classify the variables and variable conditions affecting the product failure, and proposed a prediction model for the product failure based on the decision tree. In addition, the predictive power of the model was significantly higher in the conformity and performance evaluation analysis of the model using the ROC curve.

Performance Analysis of Matching Layer for Level Measurement in CNG (CNG 레벨계측을 위한 Matching layer의 성능분석)

  • Lee, Hongyoon;Kim, Kwonse;Choi, Dooseuk
    • Journal of the Korea Convergence Society
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    • v.9 no.4
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    • pp.143-150
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    • 2018
  • This work conducted the experimental analysis on ultrasonic acoustic matching in order to measure the accuracy of gaseous fuel level values. The experimental devices were used as 12V-DC supply, control T1 board, oscilloscope (DS01072B), ultrasonic probe and pattern table. The research models were designed by ceramic assay which can determine the transmitting and receiving energies. The result of the ringing area could verify the increased characteristics in the order of D (0.180m) < E (0.184m) < B (0.204m) < A (0.234m) < F (0.244m) < C (0.247m) models based on initial 2.9V of the maximum peak voltage. From the experimental results, the model designed by Ø21*3+2t of the matching layer was notable in that the most outstanding directivity energy could be created.