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检索条件"任意字段=2012 IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2012"

共 5023 条记录，以下是171-180 订阅

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Simultaneous control of pH and dissolved oxygen in closed photobioreactor 22

Simultaneous control of pH and dissolved oxygen in closed ph...

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22nd international conference on system Theory, control and computing (ICSTCC)

作者： Titica, Mariana Ifrim, George Barbu, Marian Kazbar, Antoinette Marec, Helene Caraman, Sergiu Pruvost, Jeremy Univ Nantes GEPEA CNRS UMR 6144 St Nazaire France Univ Galatzi Dept Automat & Elect Engn Galati Romania

ISBN: (纸本)9781538644447

This study investigates simultaneous pH and dissolved oxygen control (DO) in a closed photobioreactor (PBR), using a conventional linear feedback technique, i.e. individual PID and PID coupled with feedforward compensation. The proposed control scheme has been designed using linear approximations, whereas their evaluation has been done through simulation, considering a nonlinear process model, describing the complexity of this multivariable biological process. The proposed control including feedforward compensation present improved control performances, and consequently improves microorganism's growth conditions. This is of crucial importance in the case of lab scale set ups that have to provide fully controlled cultivation conditions for accurate study of growth dynamics.

关键词： microalgae photobioreactor dissolved oxygen controller pH controller feedback feed-forward scheme

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Theory of Generative Deep Learning II :Probe Landscape of Empirical Error via Norm Based Capacity control 5

Theory of Generative Deep Learning II :Probe Landscape of Em...

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5th ieee international conference on Cloud computing and Intelligence systems (CCIS)

作者： Xu, Wendi Zhang, Ming Chinese Acad Sci Xinjiang Astron Observ Urumqi 830011 Peoples R China Chinese Acad Sci Key Lab Radio Astron Nanjing 210008 Jiangsu Peoples R China Univ Chinese Acad Sci Beijing 100876 Peoples R China

ISBN: (纸本)9781538660058

Despite its remarkable empirical success as a highly competitive branch of artificial intelligence, deep learning is often blamed for its widely known low interpretation and lack of firm and rigorous mathematical foundation. However, most theoretical endeavor is devoted in discriminative deep learning case, whose complementary part is generative deep learning. To the best of our knowledge, we firstly highlight landscape of empirical error in generative case to complete the full picture through exquisite design of image super resolution under norm based capacity control. Our theoretical advance in interpretation of the training dynamic is achieved from both mathematical and biological sides.

关键词： Deep learning Statistical learning theory Image super resolution Capacity control Regularization techniques Brain-inspired intelligence

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Research on the Assessment of Mining Geological Environmental Influence Based on Variable Weight-Analytic Hierarchy Process and Uncertainty Measurement Method 3

Research on the Assessment of Mining Geological Environmenta...

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3rd ieee international conference on Cloud computing and Big Data Analysis (ICCCBDA)

作者： Jiang Fuliang Wang Xiaoli Yang Zengguang Yang Wenchao Zhang Shuai Li Ming Chen Guan Guo Jintao Univ South China Sch Environm & Safety Engn Hengyang Peoples R China

ISBN: (纸本)9781538643013

In order to solve the problem of constant weight model may lead to failure in mine geological environment impact, and the variable weight theory was introduced into the mine geological environment impact assessment. Firstly, the evaluation of mining geological environmental influence analysis model of uncertainty measurement was established according to the characteristics of Hengshan Baiguo region's gypsum mines. The uncertain measurement functions of all indicators were established. Secondly, the variable weight theory was used to improve the index weights which were calculated by Analytic Hierarchy Process. Finally, the risk grade prediction of mine geological environment impact was made according to grade determination based on confidence identification criteria, and it is concluded that mine shallow risk is greater than the middle, middle risk is greater than the deep. The analysis results are consistent with the actual situations. And it also provides a new way for the mine geological environment impact assessment.

关键词： variable weight theory uncertainty measurement AHP gypsum mine geological environment impact

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Development of an Intelligent Traffic control system using NI LabVIEW 7

Development of an Intelligent Traffic Control System using N...

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7th ieee international conference on control system computing and engineering (iccsce)

作者： Delica, Princess Dianne L. Landicho, Maria Rowena U. Tabliga, Jaybee Ann A. Virtus, Lahlee R. Anacan, Rommel Technol Inst Philippines Manila Elect Engn Dept Manila Philippines

ISBN: (纸本)9781538638972

The paper aims to address problems concerning traffic congestion on roads. Simulation program is created for a smart traffic light control system using Laboratory Virtual Instrument engineering Workbench (LabVIEW). It intends to measure the traffic density by counting the number of vehicles in each lane and calculate the time of the traffic light. Trials are made for gathering the travel time on Espana Boulevard. Additional data are obtained through Metro Manila Development Authority (MMDA) and a research.

关键词： traffic simulation system density

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A novel configuration for PV-battery-DG integrated standalone DC microgrid 2

A novel configuration for PV-battery-DG integrated standalon...

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2nd ieee international conference on Power, Instrumentation, control and computing, PICC 2018

作者： Sanjeev, P. Padhy, Narayana Prasad Agarwal, Pramod Electrical Engineering Department IIT Roorkee Roorkee India

ISBN: (纸本)9781538624623

Isolated DC microgrids gained more popularity in serving the remote locations due to their numerous merits. As the isolated DC microgrids are primarily dependent on renewable energy sources (RES), the reliability become major issue. Thus storage system and diesel generator (DG) are employed to overcome this issue. DG is more reliable and cost effective solution in this regard. But it suffers with cranking delay and fuel efficiency under variable loading condition. Even though variable speed diesel generators are deployed, still the startup delay (cranking delay) and inertial issues of RES are inevitable. In addition to this, dynamic fluctuations in DC bus directly affects the battery life. A novel configuration is proposed in this paper by considering the supercapacitor as DC link capacitor between DG side converter and DC-DC converter so that it can address aforementioned issues along with reduction in number of converters utilized. A new power control strategy is also developed by using modified control schemes to achieve the effective coordination and power management among all the sources. Simulation of proposed configuration is executed in real time digital simulator (RTDS) to validate its effectiveness under various scenarios. © 2018 ieee.

关键词： Cost effectiveness

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Virtualization-A New Dimension of Big Data 8

Virtualization-A New Dimension of Big Data

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8th international conference Confluence on Cloud computing, Data Science and engineering, Confluence 2018

作者： Jain, Ugain Kumar, Sonu Dubey, Shubham Sharma, Ochin Kumar Jain, Vinay Manav Rachna International Institute of Research and Studies Department of Computer Science and Engineering Faridabad Haryana India Accendere Knowledge Management Services Pvt. Ltd. India

ISBN: (纸本)9781538617182

Big data is a term the data or figures that are so complex that normal data collecting applications are unable to manage them. And with the increasing amount of data, challenges of accessing the data also arise. The world's capacity to store information is increasing very fast so we required to store and manage the data properly according to survey the data available to us will doubled in every 40 months since the 1980s to 2012, every day we produce 2.5 Exabyte's (2.5 × 1018) of data. The main challenge faced by big data is the storage issue. Big data require large storing capacity, which could not fulfill using the traditional storage based system. This challenge can be met by using the cloud system for warehousing. © 2018 ieee.

关键词： Virtualization

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On the Emergence of Abstract Sciences and Breakthroughs in Machine Knowledge Learning

On the Emergence of Abstract Sciences and Breakthroughs in M...

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ieee international conference on Cognitive Informatics

作者： Yingxu Wang MIT (2012) International Institute of Cognitive Informatics and Cognitive Computing (ICIC) Visiting Professor: Stanford Univ. (2008|16) UC Berkeley (2008) Oxford Univ. (1995) Schulich School of Engineering and Hotchkiss Brain Institute Calgary Alberta Canada

ISBN: (数字)9781728114194

ISBN: (纸本)9781728104966

Recent basic studies have revealed an unprecedented phenomenon of the emergence of Abstract Sciences (AS) [Wang & Tunstel, 2019] as a counterpart of classic concrete sciences. AS encompasses contemporary disciplines of data, information, knowledge, intelligence, mathematics, and system sciences. AS leads to novel theories and technologies for AI in general, and Machine Knowledge Learning (MKL) in particular [Wang, 2016]. The latest discovery in AS reveals that the basic unit of knowledge is a binary relation (bir) [Wang, 2017] as that of bit for information and data. MKL powered by the breakthroughs in Cognitive Knowledge Bases (CKB) and denotational mathematics will enhance human learning capability. MKL leads to advanced form of machine learning, which enables cognitive machines as an indispensable assistant to humans with mutually sharable knowledge bases towards collective knowledge learning. A wide range of novel applications in AI and cognitive systems will be presented.

关键词： Cognitive systems Cognitive informatics Algebra Knowledge based systems Semantics Software

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A 4.5-to-16μW Integrated Triboelectric Energy-Harvesting system Based on High-Voltage Dual-Input Buck Converter with MPPT and 70V Maximum Input Voltage 65

A 4.5-to-16μW Integrated Triboelectric Energy-Harvesting Sy...

引用

65th ieee international Solid-State Circuits conference (ISSCC)

作者： Park, Inho Maeng, Junyoung Lim, Dongju Shim, Minseob Jeong, Junwon Kim, Chulwoo Korea Univ Seoul South Korea

ISBN: (纸本)9781509049400

As a newly emerging energy source, a triboelectric nanogenerator (TENG) was introduced in 2012, and various types of energy harvesters and active sensors based on the TENG have since been developed. Although research in the material-engineering field is actively conducted, there is not much research on TENG energy-harvesting circuits in the integrated-circuits field. From the viewpoint of material engineering, much research focuses on the applications and the analysis of instantaneous power. However, topics such as rms maximum power point (MPP), spice modeling, and impedance matching are more important from the circuit designer's viewpoint. This paper presents a TENG energy-harvesting circuit designed as a high-voltage (HV) dual-input (DI) buck converter with MPP tracking (MPPT) based on the proposed MPP analysis for the TENG.

关键词： Buck converters Energy harvesting Rectifiers Transistors Voltage control Maximum power point trackers Electrostatics

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Lightning Impulse Parameters Estimation using Fractional Model Order Reduction 7

Lightning Impulse Parameters Estimation using Fractional Mod...

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7th ieee international conference on control system computing and engineering (iccsce)

作者： Taha, Mohamed Abualnadi, Dia Hasan, Omar Feilat, Eyad A. Princess Sumaya Univ Tech Dept Commun Engn Amman Jordan Univ Jordan Dept Elect Engn Amman Jordan

ISBN: (纸本)9781538638972

In this work, the lightning impulse parameter estimation is formulated as a fractional model order reduction problem. In this method the received impulse is viewed as an impulse response of an unknown fractional order system. Unlike that of the existing techniques the estimation of the signal parameters is carried out for an unknown number of modes in which all signal modes are compressed using a proposed frequency domain template. This eliminates the necessity of identifying all signal parameters that usually needs computationally demanding matrix analysis. For this purpose, a fitness function is provided such that its minima are the parameters of the impulse by which the mean curve and the impairments are reconstructed accurately. Simulation results have shown accurate representation for the underlying impulse for oscillatory and front overshoot signal models.

关键词： Lightning Impulse Model order reduction Fractional order control Mean curve

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Optimizing Membership Function of Fuzzy Logic controller via Orthogonal Array: A Case Study on Temperature control 7

Optimizing Membership Function of Fuzzy Logic Controller via...

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7th ieee international conference on control system computing and engineering (iccsce)

作者： Dewantoro, Gunawan Satya Wacana Christian Univ Fac Elect & Comp Engn Salatiga Indonesia

ISBN: (纸本)9781538638972

Fuzzy logic controller (FLC) is one of popular approach to control any process variables which mimics human inference mechanisms. Due to their intelligent nature and simplicity, FLC has become very common among any intelligent control schemes. One of the challenges in implementing FLC is regarding to the tuning method of the membership functions. The fixed points along the universe of discourse, on which the border of fuzzy sets are defined, need to be determined properly to achieve the desired behavior. This study proposes a design of experiments using orthogonal array for optimizing the membership function for both inputs and outputs. The temperature control case was utilized to show the effectiveness of such method. Four control factors were chosen to conduct the experiments, where the objective is to diminish the integral absolute error of the step response. Analysis of means was used to determine the optimum membership function and analysis of variance (ANOVA) was used to find out the most significant control factors. The results show that the performance of the fine-tuned membership function is better than that of default membership function. The controller also shows robustness against variation and works properly within input full range.

关键词： Fuzzy logic controller othogonal array membership function optimization temperature control

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