• Title/Summary/Keyword: Indoor Tracking

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Optimizing Network Lifetime of RPL Based IOT Networks Using Neural Network Based Cuckoo Search Algorithm

  • Prakash, P. Jaya;Lalitha, B.
    • International Journal of Computer Science & Network Security
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    • v.22 no.1
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    • pp.255-261
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    • 2022
  • Routing Protocol for Low-Power and Lossy Networks (RPLs) in Internet of Things (IoT) is currently one of the most popular wireless technologies for sensor communication. RPLs are typically designed for specialized applications, such as monitoring or tracking, in either indoor or outdoor conditions, where battery capacity is a major concern. Several routing techniques have been proposed in recent years to address this issue. Nevertheless, the expansion of the network lifetime in consideration of the sensors' capacities remains an outstanding question. In this research, aANN-CUCKOO based optimization technique is applied to obtain a more efficient and dependable energy efficient solution in IOT-RPL. The proposed method uses time constraints to minimise the distance between source and sink with the objective of a low-cost path. By considering the mobility of the nodes, the technique outperformed with an efficiency of 98% compared with other methods. MATLAB software is used to simulate the proposed model.

Approaches to Probabilistic Localization and Tracking for Autonomous Mobility Robot in Unknown Environment (미지환경에서 무인이동체의 자율주행을 위한 확률기반 위치 인식과 추적 방법)

  • Jin, Taeseok
    • Journal of the Korean Society of Industry Convergence
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    • v.25 no.3
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    • pp.341-347
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    • 2022
  • This paper presents a comparison result of two simultaneous localization and mapping (SLAM) algorithms for navigation that have been proposed in literature. The performances of Extended Kalman Filter (EKF) SLAM under Gaussian condition, FastSLAM algorithms using Rao-Blackwellised method for particle filtering are compared in terms of accuracy of state estimations for localization of a robot and mapping of its environment. The algorithms were run using the same type of robot on indoor environment. The results show that the Particle filter based FastSLAM has the better performance in terms of accuracy of localization and mapping. The experimental results are discussed and compared.

Estimation of a Gaze Point in 3D Coordinates using Human Head Pose (휴먼 헤드포즈 정보를 이용한 3차원 공간 내 응시점 추정)

  • Shin, Chae-Rim;Yun, Sang-Seok
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2021.10a
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    • pp.177-179
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    • 2021
  • This paper proposes a method of estimating location of a target point at which an interactive robot gazes in an indoor space. RGB images are extracted from low-cost web-cams, user head pose is obtained from the face detection (Openface) module, and geometric configurations are applied to estimate the user's gaze direction in the 3D space. The coordinates of the target point at which the user stares are finally measured through the correlation between the estimated gaze direction and the plane on the table plane.

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A Study of Indoor Tracking Scheme using 802.11 WLAN (802.11 WLAN을 활용한 실내 측위기술에 관한 연구)

  • Cheol-Hee Lee;JooSeok Song
    • Proceedings of the Korea Information Processing Society Conference
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    • 2008.11a
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    • pp.1316-1319
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    • 2008
  • 측위 기술에 대한 연구는 활발히 진행되고 있으며, 측위 기술에 대한 정확도도 점점 증가하고 있는 추세이다. 또한 해당 기술을 활용한 응용분야들이 다양한 형태로 활용되고 있으며, 향후 또 다른 새로운 분야로도 점점 더 확대될 예정이다. 실외 측위는 GPS, 이동통신망 등을 통해 널리 지원되고 있고 오차 범위도 많이 줄어들고 있지만 무선망을 통한 실내 측위에 대해서는 무선의 여러 가지 제한사항으로 인해 오차 범위가 실외 측위에 비해 크게 나타나고 있다. 이에 본 논문에서는 802.11 WLAN 환경에서 활용될 수 있는 RSS-Map을 활용한 실내 측위 기술에 대해 제안한다. 본 연구는 기존의 실내 측위 모델보다 정확성을 가지고 있으며 실험평가를 통해 이동성을 가진 스테이션의 위치를 정확하게 확인할 수 있음을 보인다.

Heat Load Estimation-Based Switching Explicit Model Predictive Temperature Control for VRF Systems (시스템 에어컨의 온도 제어를 위한 부하 예측 기반 스위칭 모델 예측 제어)

  • Jun-Yeong Kim;S.M. Lee
    • IEMEK Journal of Embedded Systems and Applications
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    • v.19 no.3
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    • pp.123-130
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    • 2024
  • This paper proposes an EMPC (Explicit Model Predictive Controller) for temperature tracking control based on heat load prediction by an ESO (Extended State Observer) for a variable cooling circulation system with multiple indoor units connected to one outdoor unit. In this system, heat transfer and heat loss relative to the input temperature are modeled using system dynamics. Using this model, we design an EMPC based on an ESO that is robust to temperature changes and depends on airflow. To determine the stability of both the controller and the observer, asymptotic stability is verified through Lyapunov stability analysis. Finally, to validate the performance of the proposed controller, simulations are conducted under three scenarios with varying airflow, set temperature, and heat load.

Advanced Indoor Location Tracking Using RFID (RFID를 이용한 개선된 실내 위치 추적)

  • Joo, Won-lee;Kim, Hyo-Sun;Jung, Yeong-Ah;Hong, Yeon-Chan
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.18 no.1
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    • pp.425-430
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    • 2017
  • RFID is a technology that uses radio frequency to read information in tags attached to objects or people. Because it reads the information without contact when tracking the location using tags in a RFID system, there can be errors between the actual position and measured position. In this paper, three methods (the method of radiation pattern, the method of the median value, and the method using both the radiation pattern and median value) are proposed to identify the location of objects or people using the RFID technique. The location identification system based on RFID was constructed and tags were arranged in a square pattern. The real location and experimentally predicted location of an object containing a reader were compared to confirm the error. Instead of the existing papers that obtained the approximately location of a reader by calculating the center of gravity of all tags read by that reader, in this study, the predicted location was obtained by the median value and the radiation pattern. This study validated which method was the most efficient among the three methods proposed in this paper through the data of the read tags. As a result, the method of the median value had the smallest error among those assessed.

A Space Skew and Crosstalk Cancellation Scheme Based on Indoor Spacial Information Using Self-Generating Sounds (자체발성음을 이용한 실내공간정보 획득 및 공간뒤틀림/상호간섭 제거기법)

  • Kim, Yeong-Moon;Yoo, Seung-Soo;Lee, Ki-Seung;Kim, Sun-Yong
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.35 no.2C
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    • pp.246-253
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    • 2010
  • In this paper, a method of removing the space skew and cross-talk cancellation is proposed where the self-generated signals from the subject are used to obtain the subject's location. In the proposed method, the good spatial sound image is maintained even when the listener moves from the sweet spot. Two major parts of the proposed method are as follows: listener position tracking using the stimuli from the subject and removal of the space skew and cross-talk signals. Listener position tracking is achieved by estimation of the time difference of arrival (TDoA). The position of the listener is then computed using the Talyer-series estimation method. The head-related transfer functions (HRTF) are used to remove the space skew and cross-talk signals, where the direction of the HRTF is given by the one estimated from the listener position tracking. The performance evaluation is carried out on the signals from the 100 subjects that are composed of the 50 female and 50 male subjects. The positioning accuracy is achieved by 70%~90%, under the condition that the mean squared positioning error is less than $0.07m^2$. The subjective listening test is also conducted where the 27 out of the 30 subjects are participated. According to the results, 70% of the subjects indicates that the overall quality of the reproduced sound from the proposed method are improved, regardless of the subject's position.

The Visual Performance Evaluation of the Work planes with the Automated blind Control in Small Office Spaces

  • Park, Doo-Yong;Yoon, Kap-Chun;Kim, Kang-Soo
    • KIEAE Journal
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    • v.14 no.1
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    • pp.15-22
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    • 2014
  • Among the various building envelope elements, the glass area takes up the largest portion in the office building design. However, a large area of glass can cause problems such as excessive solar radiation, thermal comfort, and glare. Thus it is important to install the glass area to an appropriate level, and control solar radiation and inflow of daylight with blind devices. This study aims to improve the visual performance of the work plane through the automatic control of the venetian blinds. A total of eight kinds of control strategies were chosen; Case 1 does not control the blinds, Case 2 with the blind slats fixed at the angle of 0 degree, Case 3 to 6 using the existing blind control programs, and Case 7 and 8 with improved blind control. Case 3 with 90 degrees had the best energy performance, but the average indoor illuminance was 113lux, which is below the standards. Cases 4 and 5 showed higher levels of interior daylight illuminance with the average of 281lux and 403lux respectively. However, the fixed angles may have difficulties controlling excessive direct sunlight coming into the room and may cause glare. Cases 6 and 7 used sun tracking angle control and cut-off angle control, and the average interior illuminance was measured 250lux and 385lux respectively. Case 8 used the cut-off angle control in an hourly manner, satisfying the standard illuminance of 400lux with an average interior illuminance of 561lux. It was evaluated to be the best method to control direct solar radiation and to guarantee proper level of interior illumination.

Implementation of u-Care System Based on Multi-Sensor in u-Home Environment (u-Home 환경에서 멀티센서 기반 u-Care System 구현)

  • Lee, Hee-Jeong;Kang, Sin-Jae;Jang, Hyung-Geun;Jeong, Chang-Won;Joo, Su-Chong
    • Journal of Internet Computing and Services
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    • v.12 no.2
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    • pp.135-147
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    • 2011
  • As the number of elderly people living alone has been increasing in the recent years, systems for their safety have been required, and some related services or pilot systems have been operating. These systems provide the monitoring service for the activities of the elderly people living alone with indoor location tracking technology using the various sensors. However, most systems provide services on expensive infrastructure such as attached tags and mobile devices. In this point, this paper attempts to suggest a system based on low cost sensors to collect event data in home environment. And a main characteristic of the system is that people can monitor the results of provided services through web browser in real time and the system can provide related context information to guardians and health care managers through SMS of mobile phone.

An improvement algorithm for localization using adjacent node and distance variation analysis techniques in a ship (근접노드와 거리변화량분석기법을 이용한 선내 위치인식 개선 알고리즘)

  • Seong, Ju-Hyeon;Lim, Tae-Woo;Kim, Jong-Su;Park, Sang-Gug;Seo, Dong-Hoan
    • Journal of Advanced Marine Engineering and Technology
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    • v.37 no.2
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    • pp.213-219
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    • 2013
  • Recently, with the rapid advancement in information and communication technology, indoor location-based services(LBSs) that require precise position tracking have been actively studied with outdoor-LBS using GPS. However, in case of a ship which consists of steel structure, it is difficult to measure a precise localization due to significant ranging error by the diffraction and refraction of radio waves. In order to reduce location measurement errors that occur in these indoor environments, this paper presents distance compensation algorithms that are suitable for a narrow passage such as ship corridors without any additional sensors by using UWB(Ultra-wide-band), which is robust to multi-path and has an error in the range of a few centimeters in free space. These improvement methods are that Pythagorean theory and adjacent node technique are used to solve the distance error due to the node deployment and distance variation analysis technique is applied to reduce the ranging errors which are significantly fluctuated in the corner section. The experimental results show that the number of nodes and the distance error are reduced to 66% and 57.41%, respectively, compared with conventional CSS(Chirp spread spectrum) method.