• 제목/요약/키워드: international benchmark

검색결과 186건 처리시간 0.027초

Wastewater Treatment Plant Control Strategies

  • Ballhysa, Nobel;Kim, Soyeon;Byeon, Seongjoon
    • International journal of advanced smart convergence
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    • 제9권4호
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    • pp.16-25
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    • 2020
  • The operation of a wastewater treatment plant (WWTP) is a complex task which requires to consider several aspects: adapting to always changing influent composition and volume, ensuring treated effluents quality complies with local regulations, ensuring dissolved oxygen levels in biological reaction tanks are sufficient to avoid anoxic conditions etc. all of it while minimizing usage of chemicals and power consumption. The traditional way of managing WWTPs consists in having employees on the field measure various parameters and make decisions based on their judgment and experience which holds various concerns such as the low frequency of data, errors in measurement and difficulty to analyze historical data to propose optimal solutions. In the case of activated sludge WWTPs, parts of the treatment process can be automated and controlled in order to satisfy various control objectives. The models developed by the International Water Association (IWA) have been extensively used worldwide in order to design and assess the performance of various control strategies. In this work, we propose to review most recent WWTP automation initiatives around the world and identify most currently used control parameters and control architectures. We then suggest a framework to select WWTP model, control parameters and control scheme in order to develop and benchmark control strategies for WWTP automation.

Handwritten Indic Digit Recognition using Deep Hybrid Capsule Network

  • Mohammad Reduanul Haque;Rubaiya Hafiz;Mohammad Zahidul Islam;Mohammad Shorif Uddin
    • International Journal of Computer Science & Network Security
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    • 제24권2호
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    • pp.89-94
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    • 2024
  • Indian subcontinent is a birthplace of multilingual people where documents such as job application form, passport, number plate identification, and so forth is composed of text contents written in different languages/scripts. These scripts may be in the form of different indic numerals in a single document page. Due to this reason, building a generic recognizer that is capable of recognizing handwritten indic digits written by diverse writers is needed. Also, a lot of work has been done for various non-Indic numerals particularly, in case of Roman, but, in case of Indic digits, the research is limited. Moreover, most of the research focuses with only on MNIST datasets or with only single datasets, either because of time restraints or because the model is tailored to a specific task. In this work, a hybrid model is proposed to recognize all available indic handwritten digit images using the existing benchmark datasets. The proposed method bridges the automatically learnt features of Capsule Network with hand crafted Bag of Feature (BoF) extraction method. Along the way, we analyze (1) the successes (2) explore whether this method will perform well on more difficult conditions i.e. noise, color, affine transformations, intra-class variation, natural scenes. Experimental results show that the hybrid method gives better accuracy in comparison with Capsule Network.

Competitiveness Benchmarking of Overseas Construction through a SWOT analysis of leading construction firms in Spain and France

  • Han, Jae-Goo;Park, Hwan-Pyo;Jang, Hyoun-Seung
    • 국제학술발표논문집
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    • The 6th International Conference on Construction Engineering and Project Management
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    • pp.721-722
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    • 2015
  • The aim of this research is to provide a direction to benchmark advanced construction companies from Spain and France by deriving business strategies through SWOT analysis in order to strengthen overseas expansion and competitiveness of domestic construction companies.

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방사성폐기물 처분장 주변 암반의 손상 특성 고찰을 위한 벤치마크 시험 모델 해석 (Analysis of Benchmark Test Model for Evaluation of Damage Characteristics of Rock Mass near Radioactive Waste Repository)

  • 이희석
    • 터널과지하공간
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    • 제17권1호
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    • pp.32-42
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    • 2007
  • 암반구조물의 파괴는 초기응력의 크기, 무결암의 강도 그리고 단층이나 절리와 같이 암반 내에 존재하는 불연속면의 상태에 의해 좌우된다. 일반적으로 고심도에 건설되는 암반구조물의 경우 높은 현지응력과 공동 굴착에 따른 유도응력으로 인해 공동 경계면에서 스폴링이나 슬래빙과 같은 취성파괴가 발생할 수 있다. 최근 고심도에 건설되는 암반구조물이 증가함에 따라 취성파괴의 발생사례가 증가하고 있으며, 더욱이 국내의 저심도 구간에서도 스폴링 현상이 보고되어 취성파괴에 대한 연구의 필요성이 요구되고 있다. 그러나 아직까지 취성파괴에 대해 명확하게 규명되지 않아 본 보고에서 취성파괴현상을 규명하기 위해 수행되었던 기존 연구결과를 중심으로 취성파괴와 그 특징에 대하여 요약정리하였다.

몬데카를로 기반 치료계획시스템의 성능평가 (Benchmark Results of a Monte Carlo Treatment Planning system)

  • Cho, Byung-Chul
    • 한국의학물리학회지:의학물리
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    • 제13권3호
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    • pp.149-155
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    • 2002
  • 최근 들어 방사선 수송이론, 컴퓨터 하드웨어 성능, 및 병렬 연산 기법의 발전에 힘입어, 몬테카를로 기반의 선량계산 기법을 임상에 적용할 수 있게 되었다. 임상적용을 위해 개발된 몬테카를로 기반 선량계산 코드간의 계산 소요 시간과 정확도를 비교할 목적으로 제13차 ICCR (International Conference on the use of Computers in Radiation Therapy, Heidelberg, Germany, 2000) 학술대회에서 벤치마킹 절차서가 제안되었다. 최근, 본원에서도 임상적용을 목표로 28개의 인텔 펜티움 프로세서로 구성된 Linux cluster 시스템을 구축하고, 여기에 몬테카를로 선량계산을 위한 BEAMnrc 코드를 설치하였다. 본 연구의 목적은 위에서 제안된 벤치마킹 절차를 수행하여 본원에서 구축한 몬테카를로 선량계산 시스템의 정량적 성능 평가를 시도하고자 하는 것이었다. 벤치마킹 절차는 크게 다음의 세 과정으로 구성되어 있다. a) 30.5 cm $\times$ 39.5 cm $\times$ 30 cm 의 팬톰(5 ㎣ voxels) 에 대한 통계적 불확정도 2%이내 결과를 얻기 위한 광자선 선량계산 속도. b) 위 팬톰에 대한 전자선의 선량계산 속도. c) 비균질 평판 매질로 구성된 팬톰내 광자선 및 전자선의 선량계산 결과를 EGSr/PRESTA 계산 결과와 비교 제시. 18 MV 광자선에 대해 선량계산 속도 평가 결과 5.5분이 소용되었다. 전자선의 경우, 실제 계산 시간은 광자선에 비해 약 10배 정도 빨랐으나, 병렬 연산을 처리하기 위해 소용되는 추가 시간 때문에 전체 계산에 소요되는 시간은 광자선과 비슷하였다. 본 원에서 사용한 몬테카를로 코드는 EGSnrc로써 EGS4의 개선 버전으로 이들 간의 정확도 비교는 큰 의미가 없을 것으로 판단된다. 하지만 두 계산 결과가 기대했던 바와 같이 매우 잘 일치하였다. 결론적으로, 본원에서 구축한 몬테카를로 치료계획시스템은 임상적용에 무리가 없을 것으로 판단하였다. 추후 본 시스템을 본원에서 사용하는 상용 치료계획시스템과 인터페이스를 개발하여, 통합환경을 구축함으로써, 몬테카를로 기반의 치료계획시스템의 임상적용과 관련된 연구들을 수행해 나갈 계획이다.

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Seismic Reliability Assessment of Mid- and High-rise Post-tensioned CLT Shear Wall Structures

  • Sun, Xiaofeng;Li, Zheng;He, Minjuan
    • 국제초고층학회논문집
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    • 제9권2호
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    • pp.175-185
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    • 2020
  • Currently, few studies have been conducted to comprehend the seismic reliability of post-tensioned (PT) CLT shear wall structures, due to the complexity of this kind of structural system as well as due to lack of a reliable structural model. In this paper, a set of 4-, 8-, 12-, and 16-storey benchmark PT CLT shear wall structures (PT-CLTstrs) were designed using the direct displacement-based design method, and their calibrated structural models were developed. The seismic reliability of each PT-CLTstr was assessed based on the fragility analysis and based on the response surface method (RSM), respectively. The fragility-based reliability index and the RSM-based reliability index were then compared, for each PT-CLTstr and for each seismic hazard level. Results show that the RSM-based reliabilities are slightly less than the fragility-based reliabilities. Overall, both the RSM and the fragility-based reliability method can be used as efficient approaches for assessing the seismic reliabilities of the PT-CLTstrs. For these studied mid- and high-rise benchmark PT-CLTstrs, following their fragility-based reliabilities, the 8-storey PT-CLTstr is subjected to the least seismic vulnerability; while, following their RSM-based reliabilities, the 4-storey PT-CLTstr is subjected to the least seismic vulnerability

Exponential Stabilization of a Class of Underactuated Mechanical Systems using Dynamic Surface Control

  • Qaiser, Nadeem;Iqbal, Naeem;Hussain, Amir;Qaiser, Naeem
    • International Journal of Control, Automation, and Systems
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    • 제5권5호
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    • pp.547-558
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    • 2007
  • This paper proposes a simpler solution to the stabilization problem of a special class of nonlinear underactuated mechanical systems which includes widely studied benchmark systems like Inertia Wheel Pendulum, TORA and Acrobot. Complex internal dynamics and lack of exact feedback linearizibility of these systems makes design of control law a challenging task. Stabilization of these systems has been achieved using Energy Shaping and damping injection and Backstepping technique. Former results in hybrid or switching architectures that make stability analysis complicated whereas use of backstepping some times requires closed form explicit solutions of highly nonlinear equations resulting from partial feedback linearization. It also exhibits the phenomenon of explosions of terms resulting in a highly complicated control law. Exploiting recently introduced Dynamic Surface Control technique and using control Lyapunov function method, a novel nonlinear controller design is presented as a solution to these problems. The stability of the closed loop system is analyzed by exploiting its two-time scale nature and applying concepts from Singular Perturbation Theory. The design procedure is shown to be simpler and more intuitive than existing designs. Design has been applied to important benchmark systems belonging to the class demonstrating controller design simplicity. Advantages over conventional Energy Shaping and Backstepping controllers are analyzed theoretically and performance is verified using numerical simulations.

Comparison of Fine-Tuned Convolutional Neural Networks for Clipart Style Classification

  • Lee, Seungbin;Kim, Hyungon;Seok, Hyekyoung;Nang, Jongho
    • International Journal of Internet, Broadcasting and Communication
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    • 제9권4호
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    • pp.1-7
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    • 2017
  • Clipart is artificial visual contents that are created using various tools such as Illustrator to highlight some information. Here, the style of the clipart plays a critical role in determining how it looks. However, previous studies on clipart are focused only on the object recognition [16], segmentation, and retrieval of clipart images using hand-craft image features. Recently, some clipart classification researches based on the style similarity using CNN have been proposed, however, they have used different CNN-models and experimented with different benchmark dataset so that it is very hard to compare their performances. This paper presents an experimental analysis of the clipart classification based on the style similarity with two well-known CNN-models (Inception Resnet V2 [13] and VGG-16 [14] and transfers learning with the same benchmark dataset (Microsoft Style Dataset 3.6K). From this experiment, we find out that the accuracy of Inception Resnet V2 is better than VGG for clipart style classification because of its deep nature and convolution map with various sizes in parallel. We also find out that the end-to-end training can improve the accuracy more than 20% in both CNN models.

Analysis of Airflow Pattern and Particle Dispersion in Enclosed Environment Using Traditional CFD and Lattice Boltzmann Methods

  • Inoguchi, Tomo;Ito, Kazuhide
    • 국제초고층학회논문집
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    • 제1권2호
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    • pp.87-97
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    • 2012
  • The indoor environments in high-rise buildings are generally well enclosed by defined boundary conditions. Here, a numerical simulation method based on the Lattice Boltzmann method (LBM), which aims to model and simulate the turbulent flow accurately in an enclosed environment, and its comparison with traditional computational fluid dynamics (CFD) results, are presented in this paper. CFD has become a powerful tool for predicting and evaluating enclosed airflows with the rapid advance in computer capacity and speed, and various types of CFD turbulence modeling and its application and validation have been reported. The LBM is a relatively new method; it involves solving of the discrete Boltzmann equation to simulate the fluid flow with a collision model instead of solving Navier-Stokes equations. In this study, the LBM-based scheme of flow pattern and particle dispersion analyses are validated using the benchmark test case of two- and three-dimensional and isothermal conditions (IEA/Annex 20 case); the prediction accuracy and advantages are also discussed by comparison with the results of CFD.

Damage detection using both energy and displacement damage index on the ASCE benchmark problem

  • Khosraviani, Mohammad Javad;Bahar, Omid;Ghasemi, Seyed Hooman
    • Structural Engineering and Mechanics
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    • 제77권2호
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    • pp.151-165
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    • 2021
  • This paper aims to present a novelty damage detection method to identify damage locations by the simultaneous use of both the energy and displacement damage indices. Using this novelty method, the damaged location and even the damaged floor are accurately detected. As a first method, a combination of the instantaneous frequency energy index (EDI) and the structural acceleration responses are used. To evaluate the first method and also present a rapid assessment method, the Displacement Damage Index (DDI), which consists of the error reliability (β) and Normal Probability Density Function (NPDF) indices, are introduced. The innovation of this method is the simultaneous use of displacement-acceleration responses during one process, which is more effective in the rapid evaluation of damage patterns with velocity vectors. In order to evaluate the effectiveness of the proposed method, various damage scenarios of the ASCE benchmark problem, and the effects of measurement noise were studied numerically. Extensive analyses show that the rapid proposed method is capable of accurately detecting the location of sparse damages through the building. Finally, the proposed method was validated by experimental studies of a six-story steel building structure with single and multiple damage cases.