• Title/Summary/Keyword: Real-time Cost Estimation

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An assurance level and product type based evaluation effort model for CC evaluation (CC기반에서 보증수준 및 제품유형을 동시에 고려한 평가업무량 모델)

  • Choi, Sang-Soo;Choi, Seung;Lee, Wan-Seok;Lee, Kang-Soo
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.14 no.1
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    • pp.25-34
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    • 2004
  • Common Criteria(CC, ISO/IEC 15408) is an international standard for evaluation of Information Suity Systems(ISS). There need a suitable evidence of estimation of evaluation cost in an evaluation facility under the CC-based evaluation and assurance scheme. In this paper, we propose an evaluation effort model, which is based not only on assurance-level but also on product-type of ISS, by means of real experience of real evaluators, use-ratio concept and the Function Point of security function. The model is based not on a real evaluation environment of evaluation facility, but on CC, public PPs and product specific STs. Our result might be used as a basic model for estimation of evaluation cost and time of ISS in an CC-based evaluation and assurance scheme.

An Experimental Study on the Estimation Flow-rate of Venturi Pump Using LightGBM (LightGBM을 이용한 수력 펌프 유량 추정의 실험적 연구)

  • Jin Beom Jeong;Jihwan Lee;Myeongcheol Kang
    • Journal of Drive and Control
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    • v.20 no.4
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    • pp.123-132
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    • 2023
  • In disaster situations, to facilitate rapid drainage, electric underwater pumps are installed manually. This poses a high risk of electric shock accidents due to a short circuit, and a lot of time is required for hose connection and installation of electrical devices. To solve these problems, a Venturi pump using the venturi effect without external power is used. However, Venturi pumps that operate without external power make it difficult to install flow sensors such as electric devices; consequently, it is difficult to check the real-time flow rate. This paper proposes a flow estimation logic to replace the function of the flow sensor for the venturi pump . To develop the flow estimation logic, the flow characteristics of the venturi pump, according to the operating conditions, were checked. After that, the relationship with the flow rate of the venturi pump was defined using a pressure sensor corresponding to a low-cost sensor. Finally, an analysis of the estimation error was performed using the developed flow estimation logic.

Real-time Human Pose Estimation using RGB-D images and Deep Learning

  • Rim, Beanbonyka;Sung, Nak-Jun;Ma, Jun;Choi, Yoo-Joo;Hong, Min
    • Journal of Internet Computing and Services
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    • v.21 no.3
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    • pp.113-121
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    • 2020
  • Human Pose Estimation (HPE) which localizes the human body joints becomes a high potential for high-level applications in the field of computer vision. The main challenges of HPE in real-time are occlusion, illumination change and diversity of pose appearance. The single RGB image is fed into HPE framework in order to reduce the computation cost by using depth-independent device such as a common camera, webcam, or phone cam. However, HPE based on the single RGB is not able to solve the above challenges due to inherent characteristics of color or texture. On the other hand, depth information which is fed into HPE framework and detects the human body parts in 3D coordinates can be usefully used to solve the above challenges. However, the depth information-based HPE requires the depth-dependent device which has space constraint and is cost consuming. Especially, the result of depth information-based HPE is less reliable due to the requirement of pose initialization and less stabilization of frame tracking. Therefore, this paper proposes a new method of HPE which is robust in estimating self-occlusion. There are many human parts which can be occluded by other body parts. However, this paper focuses only on head self-occlusion. The new method is a combination of the RGB image-based HPE framework and the depth information-based HPE framework. We evaluated the performance of the proposed method by COCO Object Keypoint Similarity library. By taking an advantage of RGB image-based HPE method and depth information-based HPE method, our HPE method based on RGB-D achieved the mAP of 0.903 and mAR of 0.938. It proved that our method outperforms the RGB-based HPE and the depth-based HPE.

Frequency Estimation for Time-Frequency Domain Reflectometry using Weighted Robust Least Squares Filter (시간-주파수 영역 반사파 시스템에서 가중강인최소자승 필터를 이용한 주파수 추정)

  • Kwak, Ki-Seok;Ra, Won-Sang;Doo, Seung-Ho;Choi, G.H.;Yoon, Tae-Sung;Park, Jin-Bae;Koh, Jae-Won
    • Proceedings of the KIEE Conference
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    • 2007.07a
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    • pp.1640-1641
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    • 2007
  • In this paper, an experiment of weighted robust least squares frequency estimation for the Gaussian envelope chirp signal which is used in the time-frequency domain reflectometry system was carried out. By incorporating the forgetting factor to the frequency estimator, the weighted robust least squares filter achieved good enough frequency estimation performance for the chirp signal and it can be adopted to implement not only low cost time-frequency domain reflectometry but also real-time time-frequency domain reflectometry implementation.

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3D Navigation Real Time RSSI-based Indoor Tracking Application

  • Lee, Boon-Giin;Lee, Young-Sook;Chung, Wan-Young
    • Journal of Ubiquitous Convergence Technology
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    • v.2 no.2
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    • pp.67-77
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    • 2008
  • Representation of various types of information in an interactive virtual reality environment on mobile devices had been an attractive and valuable research in this new era. Our main focus is presenting spatial indoor location sensing information in 3D perception in mind to replace the traditional 2D floor map using handheld PDA. Designation of 3D virtual reality by Virtual Reality Modeling Language (VRML) demonstrates its powerful ability in providing lots of useful positioning information for PDA user in real-time situation. Furthermore, by interpolating portal culling algorithm would reduce the 3D graphics rendering time on low power processing PDA significantly. By fully utilizing the CC2420 chipbased sensor nodes, wireless sensor network was established to locate user position based on Received Signal Strength Indication (RSSI) signals. Implementation of RSSI-based indoor tracking method is low-cost solution. However, due to signal diffraction, shadowing and multipath fading, high accuracy of sensing information is unable to obtain even though with sophisticated indoor estimation methods. Therefore, low complexity and flexible accuracy refinement algorithm was proposed to obtain high precision indoor sensing information. User indoor position is updated synchronously in virtual reality to real physical world. Moreover, assignment of magnetic compass could provide dynamic orientation information of user current viewpoint in real-time.

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A Novel Multi-view Face Detection Method Based on Improved Real Adaboost Algorithm

  • Xu, Wenkai;Lee, Eung-Joo
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.7 no.11
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    • pp.2720-2736
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    • 2013
  • Multi-view face detection has become an active area for research in the last few years. In this paper, a novel multi-view human face detection algorithm based on improved real Adaboost is presented. Real Adaboost algorithm is improved by weighted combination of weak classifiers and the approximately best combination coefficients are obtained. After that, we proved that the function of sample weight adjusting method and weak classifier training method is to guarantee the independence of weak classifiers. A coarse-to-fine hierarchical face detector combining the high efficiency of Haar feature with pose estimation phase based on our real Adaboost algorithm is proposed. This algorithm reduces training time cost greatly compared with classical real Adaboost algorithm. In addition, it speeds up strong classifier converging and reduces the number of weak classifiers. For frontal face detection, the experiments on MIT+CMU frontal face test set result a 96.4% correct rate with 528 false alarms; for multi-view face in real time test set result a 94.7 % correct rate. The experimental results verified the effectiveness of the proposed approach.

Estimation of Moisture Content in Comminuted Miscanthus based on the Intensity of Reflected Light

  • Cho, Yongjin;Lee, Dong Hoon
    • Journal of Biosystems Engineering
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    • v.40 no.3
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    • pp.296-304
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    • 2015
  • Purpose: The balance between miscanthus production and its cost effectiveness depends greatly on its moisture content during post processing. The objective of this research was to measure the moisture content using a non-destructive and non-contact methodology for in situ applications. Methods: The moisture content of comminuted miscanthus was controlled using a closed chamber, a humidifier, a precision weigher, and a real-time monitoring software developed in this research. A CMOS sensor equipped with $50{\times}$ magnifier lens was used to capture magnified images of the conditioned materials with moisture content level from 5 to 30%. The hypothesis is that when light is incident on the comminuted particles in an inclined manner, higher moisture content results in light being reflected with a higher intensity. Results: A linear regression analysis for an initiative hypothesis based on general histogram analysis yielded insufficient correlations with low significance level (<0.31) for the determination coefficient. A significant relationship (94% confidence level) was determined at level 108 in a reverse accumulative histogram proposed based on a revised hypothesis. A linear regression model with the value at level 108 in the reverse accumulative histogram for a magnified image as the independent variable and the moisture content of comminuted miscanthus as the dependent variable was proposed as the estimation model. The calibrated linear regression model with a slope of 92.054 and an offset of 32.752 yielded 0.94 for the determination coefficient (RMSE = 0.2%). The validation test showed a significant relationship at the 74% confidence level with RMSE 6.4% (n = 36). Conclusions: To compensate the inconsistent significance between calibration and validation, an estimation model robust against various systematic interferences is necessary. The economic efficiency of miscanthus, which is a promising energy resource, can be improved by the real-time measurement of its crucial material properties.

A Study on Placement of Point Detectors Based on Homogeneous Section for Travel Time Estimation in National Highway (일반국도 통행시간 추정을 위한 동질구간 기반 지점검지기 배치에 관한 연구)

  • Kim, Seong-Hyeon;Im, Gang-Won;Lee, Yeong-In
    • Journal of Korean Society of Transportation
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    • v.24 no.1 s.87
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    • pp.73-84
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    • 2006
  • This study was carried out to set up the logic to determine lengths of the homogeneous sections effectively in order to provide dynamic travel time on real time base for the application of the model. First, considering real time traffic pattern fluctuation, lengths of the homogeneous sections for each time period and the final homogeneous sections were determined. In order to determine lengths of the homogeneous sections according to traffic condition, the cluster analysis was used based on real time data. In order to verify the homogeneous section the case with detectors in all links and the case with detectors in homogeneous section for each time period are used. As the results of verification, each cases showed similar estimation results. The results of this study are expected to be used for National Highway traffic management and the system to Provide a traffic information in the future. According to this study, when the homogeneous section decision model are used to the ITS project for National Highway, operation cost is expected to be cut by effectively establishing point detectors.

An Efficient Pitch Estimation for IMBE (Improved Multi-band Excitation) Speech Coder (개량형 다중대역 여기 (IMBE: Improved Multi-band Excitation) 음성 부호기의 피치 예측 개선)

  • Na, Hoon;Jeong, Dae-Gwon
    • The Journal of the Acoustical Society of Korea
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    • v.20 no.3
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    • pp.34-41
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    • 2001
  • In an IMBE (Improved Multi-band Excitation) speech coder, initial pitch estimation occupies most of the total computing time for the coder due to complex cost function and exhaustive search over candidate pitches. Future frames in initial pitch estimation cause inevitable time delay. Therefore, it is difficult to implement a real-time coder. Furthermore, unvoiced frames use the unnecessary pitch estimation as in the voiced frames. In this paper, each frame is determined voiced or unvoiced by Dyadic Wavelet Transform (DyWT) and, then, initial pitch estimation is performed only for voiced frame. Therefore different pitch estimation algorithms are employed between voiced and unvoiced frames incurring reduced time delay at transmitter and receiver. Simulation result show that the relative complexity of initial pitch estimation is reduced by 23%, and the processing time decreases down to 1/10 ∼ 1/1l of the IMBE coder while speech quality is almost maintained.

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Framework of Conceptual Estimation Model for BIM based Internal Finishes of High-rise Building Project (BIM기반의 초고층 빌딩 내부마감 개략견적 코스트모델 개발)

  • Chung, Suwan;Kwon, Soonwook
    • Korean Journal of Construction Engineering and Management
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    • v.15 no.2
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    • pp.53-61
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    • 2014
  • Previous studies reveal the need for a tool to cost estimation of building design in early design stages. This paper proposes an internal finishes cost model tool to address this need. The tool allows users to evaluate the functionality, economics and quality of finishes concurrently with high-rise building design. Lack of information in the early stages of the project enables a relatively accurate estimates of work to raise up. Measurements are automatically extracted from simple design information and profile driven estimates are revised in real-time. The data model uses a flexible unit rate system that can easily be extended to other estimate dimensions such as mix-use building surcharge rate estimation. The approach illustrated in this paper is applicable to BIM tool conceptual estimation that support for massing purposes other than the one chosen for this study.