• Title/Summary/Keyword: Non-Intrusive

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Behavioral Contextualization for Extracting Occupant's ADL Patterns in Smart-home Environment (스마트 홈 환경에서의 재실자 일상생활 활동 패턴 추출을 위한 행동 컨텍스트화 프로세스에 관한 연구)

  • Lee, Bogyeong;Lee, Hyun-Soo;Park, Moonseo
    • Korean Journal of Construction Engineering and Management
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    • v.19 no.1
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    • pp.21-31
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    • 2018
  • The rapid increase of the elderly living alone is a critical issue in worldwide as it leads to a rapid increase of a social support costs (e.g., medical expenses) for the elderly. In early stages of dementia, the activities of daily living (ADL) including self-care tasks can be affected by abnormal patterns or behaviors and used as an evidence for the early diagnosis. However, extracting activities using non-intrusive approach is still quite challenging and the existing methods are not fully visualized to understand the behavior pattern or routine. To address these issues, this research suggests a model to extract the activities from coarse-grained data (spatio-temporal data log) and visualize the behavioral context information. Our approach shows the process of extracting and visualizing the subject's spaceactivity map presenting the context of each activity (time, room, duration, sequence, frequency). This research contributes to show a possibility of detecting subject's activities and behavioral patterns using coarse-grained data (limited to spatio-temporal information) with little infringement of personal privacy.

Classification Method of Multi-State Appliances in Non-intrusive Load Monitoring Environment based on Gramian Angular Field (Gramian angular field 기반 비간섭 부하 모니터링 환경에서의 다중 상태 가전기기 분류 기법)

  • Seon, Joon-Ho;Sun, Young-Ghyu;Kim, Soo-Hyun;Kyeong, Chanuk;Sim, Issac;Lee, Heung-Jae;Kim, Jin-Young
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.21 no.3
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    • pp.183-191
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    • 2021
  • Non-intrusive load monitoring is a technology that can be used for predicting and classifying the type of appliances through real-time monitoring of user power consumption, and it has recently got interested as a means of energy-saving. In this paper, we propose a system for classifying appliances from user consumption data by combining GAF(Gramian angular field) technique that can be used for converting one-dimensional data to the two-dimensional matrix with convolutional neural networks. We use REDD(residential energy disaggregation dataset) that is the public appliances power data and confirm the classification accuracy of the GASF(Gramian angular summation field) and GADF(Gramian angular difference field). Simulation results show that both models showed 94% accuracy on appliances with binary-state(on/off) and that GASF showed 93.5% accuracy that is 3% higher than GADF on appliances with multi-state. In later studies, we plan to increase the dataset and optimize the model to improve accuracy and speed.

A Study on Pulse Measurement of Toe Using Photoplethysmography (광전용적맥파를 이용한 발가락에서의 맥박측정에 관환 연구)

  • Jung, In-Bok;Kim, Kyung-Ho
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2013.07a
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    • pp.353-354
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    • 2013
  • 본 논문에서는 기존의 손에서 측정하는 PPG를 발가락에서 측정하여 지속적인 무자각적 측정이 가능함을 제안한다. 발가락에서의 측정은 손이 자유로워져 일상 업무에 영향을 끼치지 않으면서 고정하기 유용하기 때문에 보다 상황에 맞는 정확한 파형 검출이 가능하다. 따라서 본 논문에서는 발가락에서의 측정 가능성을 확인한 후 소형 device 제작 및 실험을 통해 손과 발에서 PPG를 측정, 비교하여 발가락에서도 PPG 파형 검출이 가능함을 보인다.

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A Study on Improving Identification Rate of Non-Intrusive Appliance Load Monitoring(NIALM) Using Combined Sensor (복합센서를 이용한 비접촉 전력 기반 가전기기 식별률 개선에 관한 연구)

  • Kim, Byungmin;Yun, Jungmee
    • Proceedings of the Korea Information Processing Society Conference
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    • 2016.04a
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    • pp.956-958
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    • 2016
  • 비절전 가전기기는 제품수명을 고려할 때 전력을 소비하는 가정 내 가전기기의 대부분을 차지하지만 에너지 효율 정책의 사각지대에 있다. 본 논문에서는 비절전 가전기기의 에너지 절감을 위해 전력 총량에서 각 가전기기의 상태를 식별하는 NIALM의 기기 식별률을 복합센서를 활용해 개선하는 기술에 대해서 소개하고자 한다.

Multi-phase Flow Velocity Measurement Technique using Shadow Graphic Images (다위상 유체 속도 계측을 위한 영상기법 적용)

  • Ryu, Yong-Uk;Jung, Kwang-Hyo
    • Journal of Ocean Engineering and Technology
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    • v.26 no.3
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    • pp.61-65
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    • 2012
  • Air-water flow measurements are of importance for the coastal and ocean engineering fields. Although kinematic investigations of the multi-phase flows have been conducted for long time, velocity measurements still are concerned with many researchers and engineers in coastal and ocean areas. In the present study, an imaging technique using shadowgraphy and fiber optic probe for velocity measurements of air bubbles is introduced. The shadow graphy image technique is modified from the typical image velocimetry methods, and optical fibers are used for the well-known intrusive coupled phase-detection probe system. Since the imaging technique is a non-intrusive optical method from the air, it is usually applied for 2D flows. On the other hand, the double fiber optic probes touch flows regardless of flow patterns. The results of the flow measurements by both methods are compared and discussed. The methods are also applied to the measurements of overtopping flows by a breaking wave over the structure fixed on the free surface.

Uncertainty quantification for structural health monitoring applications

  • Nasr, Dana E.;Slika, Wael G.;Saad, George A.
    • Smart Structures and Systems
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    • v.22 no.4
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    • pp.399-411
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    • 2018
  • The difficulty in modeling complex nonlinear structures lies in the presence of significant sources of uncertainties mainly attributed to sudden changes in the structure's behavior caused by regular aging factors or extreme events. Quantifying these uncertainties and accurately representing them within the complex mathematical framework of Structural Health Monitoring (SHM) are significantly essential for system identification and damage detection purposes. This study highlights the importance of uncertainty quantification in SHM frameworks, and presents a comparative analysis between intrusive and non-intrusive techniques in quantifying uncertainties for SHM purposes through two different variations of the Kalman Filter (KF) method, the Ensemble Kalman filter (EnKF) and the Polynomial Chaos Kalman Filter (PCKF). The comparative analysis is based on a numerical example that consists of a four degrees-of-freedom (DOF) system, comprising Bouc-Wen hysteretic behavior and subjected to El-Centro earthquake excitation. The comparison is based on the ability of each technique to quantify the different sources of uncertainty for SHM purposes and to accurately approximate the system state and parameters when compared to the true state with the least computational burden. While the results show that both filters are able to locate the damage in space and time and to accurately estimate the system responses and unknown parameters, the computational cost of PCKF is shown to be less than that of EnKF for a similar level of numerical accuracy.

THE ONSET OF ANKYLOSIS FOLLOWING INTRUSIVE LUXATION INJURIES (외상성 intrusion 치아의 교정적 견인시기에 관한 실험적 연구)

  • Chung, Kyu-Rhim;Turley, Patrick-K.
    • The korean journal of orthodontics
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    • v.21 no.2 s.34
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    • pp.259-272
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    • 1991
  • Orthodontic traction has been suggested as the treatment of choice for intrusive luxation injuries. Prior research has shown orthodontic forces to be ineffective in the presence of ankylosis or in cases with zero mobility following the injury. If orthodontic traction is to be effective, it must be initiated prior to the onset of ankylosis. The purpose of this study was to describe the effects of intrusive luxation at various times following the injury, and to determine the time of the onset of ankylosis, and to examine what effect immediate partial luxation has on the onset of ankylosis. Eight young mongrel dogs were utilized for this study. Intrusive luxation was produced with an axial impact using a gravity hammer and a specially designed holding device on 4 teeth (2 max. and 2 man. first premolars) in each dog. The teeth were intruded approximately 3-4mm in an axial direction. One maxillary and one mandibular premolars were partially luxated with the other two teeth being untouched. Pre and posttrauma tooth position was documented with plaster models and radiographs taken with an individualized X-ray jig. Dogs were sacrificed immediately following the injury and at 1, 2, 4, 7, 10, 14 and 21 days respectively. Tetracycline was administered as a vital bone marker 24 hours before sacrifice. Block sections of the tooth and alveolus were prepared for decalcified and non decalcified histologic sections. The effects of traumatic intrusion were analyzed by means of model casts, radiographs, tetracycline bone marking and histologic preparations. The results obtained were as follows: 1. The animal sacrificed immediately following the injury displayed alveolar fractures, torn periodontal ligaments, and areas of direct tooth-bone contact. 2. The odontoblastic layer of the pulp was disorganized as early as 24 hours after the injury. 3. Bony remodeling was noted at 4 days along with active surface resorption. 4. Ankylosis was first seen 7 days after the injury. 5. Osteogenesis in the dentin (thick tetracycline bands) was observed 7 days after the injury. 6. There was no progressive root resorption and ankylosis where the periodontal ligament has been healed. 7. The Luxated group showed significantly more root resolution and ankylosis than the Nonluxated group with increased observation periods. The results suggest that ankylosis may occur within the first week following the injury, and hence orthodontic traction should be initiated as soon after the injury as possible.

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A Study on Urination Amount Estimation for the Male by the Measurement of Body Weight Difference (체중 변화 측정을 통한 남성 배뇨량 추정 방법 연구)

  • Lim, Yong-Gyu
    • Journal of the Institute of Convergence Signal Processing
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    • v.16 no.2
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    • pp.69-73
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    • 2015
  • In this study, a method for estimating the amount of urination for men, was suggested and its performance was evaluated. This study is a preliminary one for the development of a health monitoring system that needs un-constraining, non-intrusive and long-term measurements in daily life. To estimate the amount of urination, a wide weighing plate with load cell was built and the difference in a man's weights between before and after urination was measured while he was standing on the plate. The results showed that the amount of urination can be estimated with the measured weight difference under the condition of mild movements. The largest measurement error of the suggested method was 40g, which means that this method can be applied to health monitoring in daily life. It is expected that the results of this study will be the basis for developing practical un-constraining and non-intrusive health monitoring system for daily use at home.

Compensation for Fast Head Movements on Non-intrusive Eye Gaze Tracking System Using Kalman Filter (Kalman filter를 이용한 비접촉식 응시점 추정 시스템에서의 빠른 머리 이동의 보정)

  • Kim, Soo-Chan;Yoo, Jae-Ha;Kim, Deok-Won
    • Journal of the Institute of Electronics Engineers of Korea SC
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    • v.44 no.6
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    • pp.35-41
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    • 2007
  • We proposed an eye gaze tracking system under natural head movements. The system consists of one CCD(charge-coupled device) camera and two front-surface mirrors. The mirrors rotate to follow head movements in order to keep the eye within the view of the camera. However, the mirror controller cannot guarantee the fast head movements, because the frame rate is generally 30Hz. To overcome this problem, we applied Kalman filter to estimate next eye position from the current eye image. In the results, our system allowed the subjects head to move 60cm horizontally and 40cm vertically, with the head movement speed about 55cm/sec and 45cm/sec, respectively. And spatial gate resolutions were about 4.5 degree and 5.0 degree, respectively, and the gaze estimation accuracy was 92% under natural head movements.