• Title/Summary/Keyword: Point estimate method

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Local Minimum Problem of the ILS Method for Localizing the Nodes in the Wireless Sensor Network and the Clue (무선센서네트워크에서 노드의 위치추정을 위한 반복최소자승법의 지역최소 문제점 및 이에 대한 해결책)

  • Cho, Seong-Yun
    • Journal of Institute of Control, Robotics and Systems
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    • v.17 no.10
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    • pp.1059-1066
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    • 2011
  • This paper makes a close inquiry into ill-conditioning that may be occurred in wireless localization of the sensor nodes based on network signals in the wireless sensor network and provides the clue for solving the problem. In order to estimate the location of a node based on the range information calculated using the signal propagation time, LS (Least Squares) method is usually used. The LS method estimates the solution that makes the squared estimation error minimal. When a nonlinear function is used for the wireless localization, ILS (Iterative Least Squares) method is used. The ILS method process the LS method iteratively after linearizing the nonlinear function at the initial nominal point. This method, however, has a problem that the final solution may converge into a LM (Local Minimum) instead of a GM (Global Minimum) according to the deployment of the fixed nodes and the initial nominal point. The conditions that cause the problem are explained and an adaptive method is presented to solve it, in this paper. It can be expected that the stable location solution can be provided in implementation of the wireless localization methods based on the results of this paper.

A Study on the Health Risk Assessment of Volatile Organic Compounds in a Petrochemical Complex (석유화학단지의 휘발성 유기화합물로 인한 인체 위해도 평가에 관한 연구)

  • 이진홍;김윤신;류영태;유인석
    • Journal of Korean Society for Atmospheric Environment
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    • v.13 no.4
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    • pp.257-267
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    • 1997
  • This study focuses on the health risk assessment of airborne volatile organic compounds (VOCs) in a petrochemical complex, with several emphases on a risk assessment method. The first emphasis is on the importance of hazard identification to determine the likely carcinogenic potential of a VOC. Without considering this type of information, a direct comparison of the carcinogenic risks of two pollutants is meaningless. Therefore, wer suggest that this type of information be prepared and be listed with the estimate of cancer risk in parallel. The second emphasis is on the selection of a better dose-response model to estimate unit risk or cancer potency factor of a carcinogenic VOC. Finally, probilistic risk assessment method is discussed and recommended to use within a comparison of conventional point-estimate method. A health risk assessment has also been carried out. For non-carcinogenic risk, even the highest hazard index for carbon tetrachloride is estimated to be less than 1 with the other VOCs less than 0.03. However, the lifetime cancer risk from the inhalation of airborne VOCs is estimated to be about $2.6 \times 10^{-4}$ which is higher than the risk standard of $10^{-6}$ or even $10^{-5}$. Therefore, the investigation into domestic petrochemical complexes should be strengthened to obtain more fine long-term airborne VOC data.

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An Ergonomic Research on Injurious Factors Causing Musculoskeletal Disorders at a Bakery Workplace (인간공학적 접근을 통한 제빵업의 근골격계 질환 유해요인 조사)

  • 양성환;조문선;강필
    • Journal of the Korea Safety Management & Science
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    • v.6 no.2
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    • pp.35-48
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    • 2004
  • The purpose of this study is to find injurious factors and to propose an improvement plan on workers' musculoskeletal disorders at a bakery workplace through analyzing the symptom, work posture and quantitative estimate. For this study, a survey and ergonomic estimate methods were adopted. According to the survey, it was analyzed that 429 workers corresponding to 68.2% of the response have been experienced the symptoms of musculoskeletal disorders such as an ache, prickle and numbness. The result of QEC analysis shows that shoulder and waist are highly exposed to musculoskeletal disease. The result of RULA analysis shows that injurious factors of muscle, weight and repeated operations are a little higher than those of operation posture. The result of SI estimate shows that pre-treatment of making bread requiring highly repeated operation gets the highest point of 81, on the other hand, chocolate-coating job requiring relatively low speed and short time gets the point of 4.5. Based on the analyzed results, improvement plan to prevent the musculoskeletal disorders against injurious working process of a bakery workplace. The goal of this study is to propose the improved scheme that prevents the workers against musculoskeletal disorders. A questionnaire and an ergonomic assessment method were adopted to analyze the symptoms of workers' musculoskeletal disorders, and an analysis of working postures and a quantitative assessment on various processes were performed to find out harmful factors of workplace.

Optimal Fingerprint Data Filtering Model for Location Based Services (위치기반 서비스 강화를 위한 최적 데이터 필터링 기법 및 측위 시스템 적용 모델)

  • Jung, Jun;Kim, Jae-Hoon
    • Korean Management Science Review
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    • v.29 no.2
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    • pp.79-90
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    • 2012
  • Focusing on the rapid market penetration of smart phones, the importance of LBS (Location Based Service) is drastically increased. However, traditional GPS method has critical weakness caused by limited availability, such as indoor environment. WPS is newly attractive method as a widely applicable positioning method. In WPS, RSSI (Received Signal Strength Indication) data of all Wi-Fi APs (Access Point) are measured and stored into a huge database. The stored RSSI data in database make single radio fingerprint map. By the radio fingerprint map, we can estimate the actual position of target point. The essential factor of radio fingerprint database is data integrity of RSSI. Because of millions of APs in urban area, RSSI measurement data are seriously contaminated. Therefore, we present the unified filtering method for RSSI measurement data. As the results of filtering, we can show the effectiveness of suggested method in practical positioning system of mobile operator.

Interval Estimation of the Difference of two Population Proportions using Pooled Estimator

  • Hong, Chong-Sun
    • Communications for Statistical Applications and Methods
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    • v.9 no.2
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    • pp.389-399
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    • 2002
  • In order to examine whether the difference between two point estimates of population proportions is statistically significant, data analysts use two techniques. The first is to explore the overlap between two associated confidence intervals. Second method is to test the significance which is introduced at most statistical textbooks under the common assumptions of consistency, asymptotic normality, and asymptotic independence of the estimates. Under the null hypothesis which is two population proportions are equal, the pooled estimator of population proportion is preferred as a point estimator since two independent random samples are considered to be collected from one population. Hence as an alternative method, we could obtain another confidence interval of the difference of the population proportions with using the pooled estimate. We conclude that, among three methods, the overlapped method is under-estimated, and the difference of the population proportions method is over-estimated on the basis of the proposed method.

Motion Capture of the Human Body Using Multiple Depth Sensors

  • Kim, Yejin;Baek, Seongmin;Bae, Byung-Chull
    • ETRI Journal
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    • v.39 no.2
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    • pp.181-190
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    • 2017
  • The movements of the human body are difficult to capture owing to the complexity of the three-dimensional skeleton model and occlusion problems. In this paper, we propose a motion capture system that tracks dynamic human motions in real time. Without using external markers, the proposed system adopts multiple depth sensors (Microsoft Kinect) to overcome the occlusion and body rotation problems. To combine the joint data retrieved from the multiple sensors, our calibration process samples a point cloud from depth images and unifies the coordinate systems in point clouds into a single coordinate system via the iterative closest point method. Using noisy skeletal data from sensors, a posture reconstruction method is introduced to estimate the optimal joint positions for consistent motion generation. Based on the high tracking accuracy of the proposed system, we demonstrate that our system is applicable to various motion-based training programs in dance and Taekwondo.

A Study on In-Process Detection of Chatter Vibration in a Turning Process (선삭가공에 있어서 채터진동의 인프로세스 검출에 관한 연구 (I))

  • Koo, Youn-Yoog;Chung, Eui-Sik;Nam, Gung-Suk
    • Journal of the Korean Society for Precision Engineering
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    • v.8 no.3
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    • pp.73-81
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    • 1991
  • There have been many studies on chatter vibration in machining but there seems to be no regulations to decide the commencing point of chatter objectively. The development of an objective method which can estimate and detect chatter commencement is very much in need for automatic manufacturing systems, dynamic performance tests for machine tools, so on. In this study, therefore, the estimation and the in-process detection of chatter have been experi- mentally investigated for the turning process. As a result, the commencing point of chatter can be decided from the behavior of the maximum amplitude of the dynamic component of cutting force, where the maximum amplitude is suddenly increasing with the chatter commencement. Then the commencing point of chatter can be estimated practically by this method before the occurrence of excessive vibration. Also, it is possible to detect the occurence of chatter vibration through the in-process measurement, by monitoring the maximum amplitude of the dynamic component of cutting force.

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SIMM Method Based on Acceleration Extraction for Nonlinear Maneuvering Target Tracking

  • Son, Hyun-Seung;Park, Jin-Bae;Joo, Young-Hoon
    • Journal of Electrical Engineering and Technology
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    • v.7 no.2
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    • pp.255-263
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    • 2012
  • This paper presents the smart interacting multiple model (SIMM) using the concept of predicted point and maximum noise level. Maximum noise level means the largest value of the mere noises. We utilize the positional difference between measured point and predicted point as acceleration. Comparing this acceleration with the maximum noise level, we extract the acceleration to recognize the characteristics of the target. To estimate the acceleration, we propose an optional algorithm utilizing the proposed method and the Kalman filter (KF) selectively. Also, for increasing the effect of estimation, the weight given at each sub-filter of the interacting multiple model (IMM) structure is varying according to the rate of noise scale. All the procedures of the proposed algorithm can be implemented by an on-line system. Finally, an example is provided to show the effectiveness of the proposed algorithm.

Improved Model for Maximum Power Point Tracking (MPPT) of Solar System (태양광 시스템의 최대 전력지점 추적(MPPT) 정확도 향상을 위한 모델링)

  • Lee, YoungHyun;Lee, Jonghwan
    • Journal of the Semiconductor & Display Technology
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    • v.21 no.1
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    • pp.114-118
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    • 2022
  • The photovoltaic system is affected by various conditions such as temperature and irradiance. Because non-uniform irradiation and partial shading conditions affect the entire string of cells connected in series, a bypass diode is used to bypass the current flow normally. In order to find the maximum power point in partial shade conditions, it is necessary to estimate various methods of maximum power point tracking. In this paper, the hybrid method of MPPT using Lambert W function and perturbation & observation algorithm is proposed under partial shading conditions. The simulation results are obtained using MATLAB/Simulink and shows the improvement of the accuracy of MPPT.

Evaluation of Material Degradation Using Electrical Resistivity Method (전기비저항법을 이용한 재료열화 평가)

  • Kim, Jeong-Pyo;Bae, Bong-Kook;Kim, Dong-Joong;Seok, Chang-Sung
    • Proceedings of the KSME Conference
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    • 2001.11a
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    • pp.129-136
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    • 2001
  • The remaining life estimation for the aged components in power plants as well as chemical plants are very important beacuse mechanical properties of the components are degraded with time of service exposure in high temperature. Since it is difficult to take specimens from the operating components to evaluate mechanical properties of components, nondestructive techniques are needed to estimate the degradation. In this study, test materials with 4 different degradation levels were prepared by isothermal aging heat treatment at $630^{\circ}C$. And the DC potential drop method and destructive methods such as tensile, $K_{IC}$ and hardness tests were used in order to evaluate the degradation of 1Cr-1Mo-0.25V steels. The objective of this study is to investigate the possibility of the application of DCPD method to estimate the material degradation, and to analyse the relationship between the electrical resistivity and the degree of material degradation.

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