• Title/Summary/Keyword: Sensory data

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Thermal Shrinkage Variation to the Measuring Method of Sensory PET Filament (감성소재 PET사의 계측방법에 따른 열 수축률 변화)

  • 김승진;박경순;유지수;홍성대;서봉기;김연숙;심승범;김소연;박미영
    • Proceedings of the Korean Society for Emotion and Sensibility Conference
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    • 2001.11a
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    • pp.19-24
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    • 2001
  • 본 연구에서는 국내 7개 기업에서 생산되고 있는 PET POY와 일본과 대만에서 생산되고 있는 PET POY 시료를 준비하여 이들 사의 열수축 특성을 hank 실험방법과 Toray FTA-500 계측기를 사용한 실험 data를 비교 분석하여 최근 도입되어 사용되고 있는 Toray FTA-500 열 수축률 측정계측기의 타당성을 조사하고자 한다. 본 연구를 위해 사용한 시료는 PET POY 85d/72f 그리고 120d/36f 그리고 120d/36f 2가지를 준비했으며 국내 합섬 maker 7개회사별로 각각 같은 굵기의 POY 사를 준비하였다. 그리고 국내 POY와 외국 소재로서 대만과 일본에서 생산되고 있는 소재의 열 수축률 특성치를 Toray FTA-500과 hank 방법을 비교 분석하므로서 감성의류 제조용 PET POY 사의 국내ㆍ외 소재의 차이점을 계측기계와 계측방법의 상이로 나누어 data화가 가능케 함으로서 감성의류소내 개발에 기초자료를 활용코자 한다.

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Suppressing Artefacts in the ECG by Independent Component Analysis (독립성분 분석기법에 의한 심전도 신호의 왜곡 보정)

  • Kim, Jeong-Hwan;Kim, Kyeong-Seop;Kim, Hyun-Tae;Lee, Jeong-Whan
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.62 no.6
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    • pp.825-832
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    • 2013
  • In this study, Independent Component Analysis (ICA) algorithms are suggested to extract the original ECG part from the mixed signal contaminated with the unwanted frequency components and especially 60Hz power line disturbances. With this aim, we implement a novel method to suppress the baseline-wandering disturbances and power line artefacts contained in patch-electrodes sensory ECG data by separating the unmixed signal with finding the optimal weight W based on Kurtosis value. With applying brutal force and gradient ascent searching algorithm to find W, we can conclude that the unwanted frequency components especially in the ambulatory ECG data can be eliminated by Independent Component Analysis.

Analysis of Volatile Compounds in the Gardenia Absoulute Oil (Gardenia Absolute Oil을 구성하고 있는 휘발성 성분의 분석)

  • Ha, Chang-Gyu;Yang, Hae-Ju;Yun, Seok-Sin
    • Journal of the Society of Cosmetic Scientists of Korea
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    • v.19 no.1
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    • pp.31-56
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    • 1993
  • The characteristic aroma of Gardenia Absolute Oil made from Gardenia Jasminoides Ellis was investigated by GC and GC-MSD and by sensory evaluation The method of GC Analysis was used Double Column System by Carbowax 20M /SPB-1 of Pola/nonPola columns. And the result data of analysis was checked automatic Relent ion Indexs Match System by GC Workstation. A total of 51 compounds were identified in Gardenia Absolute Oil, including t entatively erstimated 9 compounds. The major components were Linalool, Farnesene of various form, Jasmin Lactone, Gamma undecalactone and Cis-3-hexone derivatives.

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A design of supervisory control system for a multi-robot system (다중로봇을 휘한 관리제어 시스템의 설계)

  • 서일홍;여희주;김재현;류종석;오상록
    • The Transactions of the Korean Institute of Electrical Engineers
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    • v.45 no.1
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    • pp.100-112
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    • 1996
  • This paper presents a design experience of a control language for coordination of a multi-robot system. To effectively program job commands, a Petrinet-type Graphical Robot Language(PGRL) is proposed, where some functions, such as concurrency and synchronization, for coordination among tasks can be easily programmed.In our system, the proposed task commands of PGRL are implemented by employing formal model languages, which are composed of three modules, sensory, data handling, and action module. It is expected that by using our proposed PGRL and formal languages, one can easily describe a job or task, and hence can effectively operate a complex real-time and concurrent system. The control system is being implemented by using VME-based 32-bit microprocessor boards for supervisory, each module controller(arm, hand, leg, sensor data processing module) and a real time multi-tasking operating system(VxWorks). (author). 17 refs., 16 figs., 2 tabs.

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Effects of the Massage Therapy on Weight, Stress Hormone and Mother - Infant Interaction (마사지요법이 저체중아의 성장, 생리적 변화 및 모.영아 상호작용에 미치는 효과)

  • Kim, Mi-Ye;Kim, Sun-Hee
    • Korean Parent-Child Health Journal
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    • v.3 no.1
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    • pp.1-14
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    • 2000
  • The Low Birth Weight infant birth rate in this country is a little more than 15 percent and is being increased. The survival rate of Low Birth Weight infant is over 90 percent and recently the rate runs is getting. However, because of the high risk of Low Birth Weight infant for handicap in growth, a preventive nursing intervention program for Low Birth Weight infant and their mother is considered to be necessary. Touch and massage, thus sensory stimulation has been considered to be important ensuring a normal growth of Low Birth Weight infant During the past decades sensory stimulation program has been used for premature and Low Birth Weight infants. Recently a study on the sensory stimulation for Low Birth Weight infants has bee n done in this country. Mother and infant relationship has a great influence on child's development. Especially, mother and infant interaction during one year after birth plays important role in child's social. affective and cognitive developments. But in the study of Low Birth Weight infants, the mother and infant interaction has been rare yet. However, there was no study effectiveness of the sensory stimulation on mother and infant interaction. In this respect, this study based on the importance of the nursing intervention, is intended to measure the effectiveness of the massage therapy in the aspects of weight, daily feeding amount, cortisolurine stress hormone and mother and infant interactions. This study has been conducted on the nonequivalent control group pretestposttest design in quasi experimental basis and Low Birth Weight infants from NICU of two Medical University Hospitals located in Taegu Metropolitan were selected in experimental group of 21 infants and control group of 20 infants. Data has been collected from May 1, 1999 to September 5, 2000. For the experimental group Field's sensory stimulation(tactile and kinesthetic stimulation) was applied 2 times a day for 10 days(10:00 - 11:00 hours in the morning and 19:00 - 20:00 in the afternoon) by nurse and mother. The electronic indicator scale (Cas Co. Korea) was used to measure infant's body weight. To determine urine cortisol concentration level under stress, rad immuno assay method was used. And to determine mother and infant interactions during feeding, tools developed by Kim Mi-Ye (1999) were used. Collected data were analyzed with SAS program using x-test, t-test, paired t-test and repeated measures ANOVA. Findings were as follows : 1. For the daily mean weight gain, the experimental group showed little higher than the control group, even though, there was no Statistically significant differences between two groups. 2. For the amount of daily mean feeding, the experimental group showed little higher than the control group, while there was no Statistically significant differences between two groups. 3. The level of wine cortisol concentration was increased in both groups, while no Statistical significance was shown between the two groups. 4. Mothers in experimental group were more likely to have higher mean scores in mother and infant interaction during feeding than mothers in the control group. Statistical significance was shown between the two groups(t= 5.78, P=.001). In conclusion, the massage therapy in this study showed with regard to even though through there was no statistically significance in the weight gain and urine stress hormone concentration. there was Statistical significantly higher in the mother and infant interaction during feeding. Based on the result of this study, it is considered that the massage therapy should be applied clinical practice and home to help a developmental growth and interaction of Low Birth Weight infants and mothers during the period of recovery.

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Analysis and Improvement of User Manual Design of Agricultural Machines Made by Small Manufactures (중소기업에서 제작한 농기계 사용설명서의 특성분석과 개선방안)

  • Kim Jeong-Man;Lee Jin-Choon
    • Journal of Korea Society of Industrial Information Systems
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    • v.9 no.4
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    • pp.32-40
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    • 2004
  • This study tried to analyze the characteristic data, gathered by the semantic differential method, of respondents, user manuals and agricultural machines with the traditional statistical approach, i.e., cluster analysis and factor analysis semantic differential methods. Though the existing papers of the traditional sensory engineering only suggested the fragmentary result of analysis, this study tries to analyze the data with step-by-step approach, in which this study is analyzing the data with cluster analysis to get the characteristics of respondents, and then using the factor analysis to condensing the adjectives of describing the manual characteristics into several components. Concludingly, this study suggested a prototype of analyzing the semantic differential data with using cluster analysis and factor analysis.

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Incentive Mechanism in Participatory Sensing for Ambient Assisted Living

  • Yao, Hu;Muqing, Wu;Tianze, Li
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.12 no.1
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    • pp.159-177
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    • 2018
  • Participatory sensing is becoming popular and has shown its great potential in data acquisition for ambient assisted living. In this paper, we propose an incentive mechanism in participatory sensing for ambient assisted living, which benefits both the platform and the mobile devices that participated in the sensing task. Firstly, we analyze the profit of participant and platform, and a Stackelberg game model is formulated. The model takes privacy, reputation, power state and quality of data into consideration, and aims at maximizing the profit for both participant and publisher. The discussion of properties of the game show that there exists an unique Stackelberg equilibrium. Secondly, two algorithms are given: one describes how to reach the Stackelberg equilibrium and the other presents the procedures of employing the incentive strategy. Finally, we conduct simulations to evaluate the properties and effectiveness of the proposed mechanism. Simulation results show that the proposed incentive mechanism works well, and the participants and the publisher will be benefitted from it. With the mechanism, the total amount of sensory data can be maximized and the quality of the data can be guaranteed effectively.

Development of Traffic Congestion Prediction Module Using Vehicle Detection System for Intelligent Transportation System (ITS를 위한 차량검지시스템을 기반으로 한 교통 정체 예측 모듈 개발)

  • Sin, Won-Sik;Oh, Se-Do;Kim, Young-Jin
    • IE interfaces
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    • v.23 no.4
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    • pp.349-356
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    • 2010
  • The role of Intelligent Transportation System (ITS) is to efficiently manipulate the traffic flow and reduce the cost in logistics by using the state of the art technologies which combine telecommunication, sensor, and control technology. Especially, the hardware part of ITS is rapidly adapting to the up-to-date techniques in GPS and telematics to provide essential raw data to the controllers. However, the software part of ITS needs more sophisticated techniques to take care of vast amount of on-line data to be analyzed by the controller for their decision makings. In this paper, the authors develop a traffic congestion prediction model based on several different parameters from the sensory data captured in the Vehicle Detection System (VDS). This model uses the neural network technology in analyzing the traffic flow and predicting the traffic congestion in the designated area. This model also validates the results by analyzing the errors between actual traffic data and prediction program.

Fusion System of Time-of-Flight Sensor and Stereo Cameras Considering Single Photon Avalanche Diode and Convolutional Neural Network (SPAD과 CNN의 특성을 반영한 ToF 센서와 스테레오 카메라 융합 시스템)

  • Kim, Dong Yeop;Lee, Jae Min;Jun, Sewoong
    • The Journal of Korea Robotics Society
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    • v.13 no.4
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    • pp.230-236
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    • 2018
  • 3D depth perception has played an important role in robotics, and many sensory methods have also proposed for it. As a photodetector for 3D sensing, single photon avalanche diode (SPAD) is suggested due to sensitivity and accuracy. We have researched for applying a SPAD chip in our fusion system of time-of-fight (ToF) sensor and stereo camera. Our goal is to upsample of SPAD resolution using RGB stereo camera. Currently, we have 64 x 32 resolution SPAD ToF Sensor, even though there are higher resolution depth sensors such as Kinect V2 and Cube-Eye. This may be a weak point of our system, however we exploit this gap using a transition of idea. A convolution neural network (CNN) is designed to upsample our low resolution depth map using the data of the higher resolution depth as label data. Then, the upsampled depth data using CNN and stereo camera depth data are fused using semi-global matching (SGM) algorithm. We proposed simplified fusion method created for the embedded system.

A Novel Redundant Data Storage Algorithm Based on Minimum Spanning Tree and Quasi-randomized Matrix

  • Wang, Jun;Yi, Qiong;Chen, Yunfei;Wang, Yue
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.12 no.1
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    • pp.227-247
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    • 2018
  • For intermittently connected wireless sensor networks deployed in hash environments, sensor nodes may fail due to internal or external reasons at any time. In the process of data collection and recovery, we need to speed up as much as possible so that all the sensory data can be restored by accessing as few survivors as possible. In this paper a novel redundant data storage algorithm based on minimum spanning tree and quasi-randomized matrix-QRNCDS is proposed. QRNCDS disseminates k source data packets to n sensor nodes in the network (n>k) according to the minimum spanning tree traversal mechanism. Every node stores only one encoded data packet in its storage which is the XOR result of the received source data packets in accordance with the quasi-randomized matrix theory. The algorithm adopts the minimum spanning tree traversal rule to reduce the complexity of the traversal message of the source packets. In order to solve the problem that some source packets cannot be restored if the random matrix is not full column rank, the semi-randomized network coding method is used in QRNCDS. Each source node only needs to store its own source data packet, and the storage nodes choose to receive or not. In the decoding phase, Gaussian Elimination and Belief Propagation are combined to improve the probability and efficiency of data decoding. As a result, part of the source data can be recovered in the case of semi-random matrix without full column rank. The simulation results show that QRNCDS has lower energy consumption, higher data collection efficiency, higher decoding efficiency, smaller data storage redundancy and larger network fault tolerance.