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16th IEEE International Conference on Image Processing

作者： Buyukatalay, Soner Birgul, Ozlem Halici, Ugur Computer Vision and Intelligent Systems Research Lab. METU Electrical and Electronics Engineering Turkey Tübitak Uzay Turkey

ISBN: (纸本)9781424456536

In this study a new algorithm for 3D surface reconstruction from multiple images using a modified photometric stereo method is proposed and tested. The new algorithm, Filtered Lambert Photometric Stereo (FLPS), determines the non-Lambert pixels in the available images using a linearity test and constructs filtering masks for each image that corresponds to specular and self or cast shadow regions. Then, the photometric stereo is applied after eliminating the points in these masks. Tests carried out on synthetic images show that LPS on filtered images is a feasible solution when more than 4 images are available.

关键词： photometric stereo Lambert reflection model filtered photometric stereo

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A Design Approach for Minimizing Data Theft

A Design Approach for Minimizing Data Theft

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2022 International Conference on Computational Science and Computational Intelligence, CSCI 2022

作者： Yee, George O. M. Aptusinnova Inc. Computer Research Lab Ottawa Canada Carleton University Dept. of Systems and Computer Engineering Ottawa Canada

ISBN: (纸本)9798350320282

Not a day goes by without some organization in the world being victimized by the theft of private data, resulting in heavy losses to both the organization and the owners of the data. For an organization, these losses include large expenditures to resume normal operation and damages to its reputation. For data owners, the losses may be financial, and may include identity theft. Security controls (e.g., encryption) help to secure vulnerabilities, but they are not foolproof. This paper proposes a design approach that minimizes the theft of private data from an organization by limiting as much as possible the quantity of such data that is stored on-premise or in the cloud, preferring instead to let the data remain on the user's computing device. This paper additionally presents an example of applying the approach to e-commerce. © 2022 IEEE.

关键词： Cryptography

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A software engineering subject on system description techniques

A software engineering subject on system description techniq...

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996 International Conference Software engineering: Education and Practice, SEEP 1996

作者： Chang, E. Department of Computer Science and Computer Engineering La Trobe University Zntelligent Systems Lab Applied Computing Research Institute Melbourne Australia

ISBN: (纸本)0818673796

The paper describes a software engineering subject on system description techniques (SDT). This course explains the system description techniques (SDTs) for describing both the models that arise from analysis as well as design. It is therefore of immense importance as a prelude to the software engineering project. The students are introduced to a wide number of techniques including data oriented, process oriented, state oriented and object oriented techniques. These techniques describe somewhat different aspects of a software system. There are a number of problems related to teaching, students, lack of suitable books and examples. The paper describes how they are addressed. © 1996 IEEE.

关键词： Students

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A sensitivity framework to assess the impact of weather on electric power networks

A sensitivity framework to assess the impact of weather on e...

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2020 IEEE Power and Energy Society General Meeting, PESGM 2020

作者： Ahmed, Arif McFadden, Fiona Stevens Rayudu, Ramesh Massier, Tobias Robinson Research Institute Smart Power and Renewable Energy Systems Group School of Engineering and Computer Science !!!TUMCREATE 1 CREATE Way #10-02 CREATE Tower Singapore Robinson Research Institute Victoria University of Wellington Smart School of Engineering and Computer Science Wellington New Zealand Victoria University of Wellington Smart Power and Renewable Energy Systems Group School of Engineering and Computer Science Wellington New Zealand TUMCREATE 1 CREATE Way 10-02 CREATE Tower Singapore138602 Singapore

ISBN: (纸本)9781728155081

This manuscript provides an analytical sensitivity framework to assess the impacts of individual weather parameters on conductor temperature and to determine the weather parameters that have greater potential to impact power networks and hence power system studies, which can be applied to any region around the globe. Application to weather parameter ranges possible across all of New Zealand (NZ) shows that the conductor temperature and hence the power network is most sensitive to the wind speed followed by the wind angle, and the solar irradiance, when paired with the ambient temperature. The sensitivity analysis framework is expected to aid utilities in assessing the region-specific impact of weather parameters on their network and hence improving their planning, operation, and analysis. © 2020 IEEE.

关键词： Sensitivity analysis

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Resonance based contactless energy transfer

Resonance based contactless energy transfer

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2012 3rd Power Electronics, Drive systems and Technologies Conference, PEDSTC 2012

作者： Hasanzadeh, Saeed Vaez-Zadeh, Sadegh Advanced Motion Systems Research Lab. School of Electrical and Computer Engineering University of Tehran Tehran Iran

ISBN: (纸本)9781467301114

In this paper, efficiency analysis and design of contactless electric energy transmission systems using inductive method are elaborated. Large leakage inductances of the systems are to be compensated to achieve resonance conditions for maximum efficiency in energy transfer from a launch side to a receiving side where compensating circuits are utilized in both sides. Considering the circuit models of a contactless electrical energy transmission system, the effects of different system parameters including the compensating capacitors are analyzed for a specified frequency range and coupling factor. An algorithm is proposed to determine the optimal compensating capacitors and system resonance frequency to achieve high efficiency. © 2012 IEEE.

关键词： Inductive power transmission

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Spatially adaptive pyramid feature fusion for scale-aware crowd counting

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Pattern Recognition 2025年 168卷

作者： Shenjian Gong Zhaoliang Yao Wangmeng Zuo Jian Yang PongChi Yuen Shanshan Zhang PCA Lab Key Lab of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education and Jiangsu Key Lab of Image and Video Understanding for Social Security School of Computer Science and Engineering Nanjing University of Science and Technology Nanjing 210094 China Hikvision Research Institute China School of Computer Science and Technology Harbin Institute of Technology Harbin 150001 China Department of Computer Science Hong Kong Baptist University Hong Kong

Crowd counting is a challenging task to predict the number of persons in crowded scenes. The major challenge comes from density/scale variation in one single image, which results in a significant performance decrease for most methods. In this work, we aim to explore how to solve the scale variation problem with assistance from the segmentation task. We first simultaneously predict a coarse density map, along with multi-scale segmentation masks, which provide strong priors of background and head regions with different scales; then we propose a Spatially Adaptive Pyramid (SAP) feature fusion block to fully integrate the coarse density map and multi-scale segmentation masks; in SAP, a feature pyramid and corresponding attention pyramid are obtained for multi-scale head regions, and then cross-scale correlations are computed to handle the scale variation problem. These high-dimensional cross-scale correlation features are then used to refine the density map, based on which the final counting numbers are obtained. Experiments show that our proposed SAP block significantly outperforms previous fusion methods, and obtains consistent improvements on various backbones. Compared to previous state-of-the-art methods, our method is better at handling scale variation, surpassing previous methods on the challenging ShanghaiTech A, UCF-QNRF and NWPU datasets.

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Corrigendum to “Multi population-based chaotic differential evolution for multi-modal and multi-objective optimization problems” Appl. Soft Comput. 132 (2023) 109909

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Applied Soft Computing 2025年 169卷

作者： Hafiz Tayyab Rauf Jiechao Gao Ahmad Almadhor Ali Haider Yu-Dong Zhang Fadi Al-Turjman Centre for Smart Systems AI and Cybersecurity Staffordshire University Stoke-on-Trent United Kingdom Department of Computer Science University of Virginia USA Department of Computer Engineering and Networks College of Computer and Information Sciences Jouf University Sakaka 72388 Saudi Arabia Department of Computer Science University of Gujrat Gujrat Pakistan School of Informatics University of Leicester Leicester LE1 7RH UK Research Center for AI and IoT Faculty of Engineering University of Kyrenia Mersin 10 Turkey Artificial Intelligence Engineering Dept. AI and Robotics Institute Near East University Mersin 10 Turkey

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Triboelectric Nanogenerators and Hybridized systems for Enabling Next-Generation IoT Applications

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research 2021年第1期2021卷 392-421页

作者： Qiongfeng Shi Zhongda Sun Zixuan Zhang Chengkuo Lee Department of Electrical&Computer Engineering National University of Singapore4 Engineering Drive 3SingaporeSingapore 117583 Center for Intelligent Sensors and MEMS National University of Singapore4 Engineering Drive 3SingaporeSingapore 117583 Smart Systems Institute National University of Singapore3 Research LinkSingaporeSingapore 117602 NUS Graduate School for Integrative Science and Engineering National University of SingaporeSingaporeSingapore 117456

In the past few years,triboelectric nanogenerator-based(TENG-based)hybrid generators and systems have experienced a widespread and flourishing development,ranging among almost every aspect of our lives,e.g.,from industry to consumer,outdoor to indoor,and wearable to implantable *** TENG technology has been extensively investigated for mechanical energy harvesting,most developed TENGs still have limitations of small output current,unstable power generation,and low energy utilization rate of multisource *** harvest the ubiquitous/coexisted energy forms including mechanical,thermal,and solar energy simultaneously,a promising direction is to integrate TENG with other transducing mechanisms,e.g.,electromagnetic generator,piezoelectric nanogenerator,pyroelectric nanogenerator,thermoelectric generator,and solar cell,forming the hybrid generator for synergetic single-source and multisource energy *** resultant TENG-based hybrid generators utilizing integrated transducing mechanisms are able to compensate for the shortcomings of each mechanism and overcome the above limitations,toward achieving a maximum,reliable,and stable output ***,in this review,we systematically introduce the key technologies of the TENG-based hybrid generators and hybridized systems,in the aspects of operation principles,structure designs,optimization strategies,power management,and system *** recent progress of TENG-based hybrid generators and hybridized systems for the outdoor,indoor,wearable,and implantable applications is also ***,we discuss our perspectives on the future development trend of hybrid generators and hybridized systems in environmental monitoring,human activity sensation,human-machine interaction,smart home,healthcare,wearables,implants,robotics,Internet of things(IoT),and many other fields.

关键词： IoT generator harvesting

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Resilience Enhancement of Urban Energy systems via Coordinated Vehicle-to-grid Control Strategies

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CSEE Journal of Power and Energy systems 2023年第2期9卷 433-443页

作者： Lascelle Mauricette Zihang Dong Linan Zhang Xi Zhang Ning Zhang Goran Strbac Department of Electrical and Electronic Engineering Imperial College LondonLondon SW72AZUnited Kingdom Department of Grid Digitalization Technology State Grid Smart Grid Research Institute Co.LtdBeijing 102209China State Key Lab of Power Systems Department of Electrical EngineeringTsinghua UniversityBeijing 100084China

Coordinated vehicle-to-grid(V2G)control strategies can sustain essential loads of an energy system during islanding,thereby increasing *** this context,this paper investigates the resilience enhancement benefits of smart V2G control,the value of electric vehicle(EV)owner cooperation on system resilience,as well as the complementary effects of PV and EV interaction in an urban multi-energy microgrid(MEMG).By using a rolling horizon approach to optimize day-ahead operation of the MEMG and subsequently dispatching EVs,uncertainties in outage start time,EV arrival/departure times,and initial state of charge(SOC)are *** show that smart V2G control can provide a substantial essential load curtailment reduction compared to a non-EV scenario,meanwhile,non-coordinated grid-to-vehicle(G2V)operation was shown to slightly burden the system with a slight increase in non-essential load *** into the influence of EV cooperation on resilience showed that a high percentage of system-prioritized(SP)EVs could help greatly further reduce essential load curtailment compared to individual-prioritized(IP)***,the complementary benefits of smart V2G control and PV were demonstrated,showing a reduction in both PV and essential load curtailments with increasing numbers of ***,the application of smart V2G control,especially with cooperation of EV owners,can drive significant resilience enhancement during islanding,while further benefits can be obtained through having a sufficient number of EVs to utilize high PV penetration.

关键词： Multi-energy system renewable energy sources resilience rolling horizon optimization vehicle-to-grid

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Efficient and High-quality Recommendations via Momentum-incorporated Parallel Stochastic Gradient Descent-Based Learning

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IEEE/CAA Journal of Automatica Sinica 2021年第2期8卷 402-411页

作者： Xin Luo Wen Qin Ani Dong Khaled Sedraoui MengChu Zhou the School of Computer Science and Technology Dongguan University of TechnologyDongguan 523808 Hengrui(Chongqing)Artificial Intelligence Research Center Department of Big Data Analyses TechniquesCloudwalkChongqing 401331China the School of Computer Science and Technology Chongqing University of Posts and TelecommunicationsChongqing 400065 Chongqing Engineering Research Center of Big Data Application for Smart Cities Chongqing Institute of Green and Intelligent TechnologyChinese Academy of SciencesChongqing 400714China the Department of Computer and Information Science City College of Dongguan University of TechnologyDongguan 523419China the Department of Electrical and Computer Engineering Faculty of Engineeringand Center of Research Excellence in Renewable Energy and Power SystemsKing Abdulaziz UniversityJeddah 21481Saudi Arabia the Department of Electrical and Computer Engineering New Jersey Institute of TechnologyNewarkNJ 07102 USA the Center of Research Excellence in Renewable Energy and Power Systems King Abdulaziz UniversityJeddah 21481Saudi Arabia

A recommender system(RS)relying on latent factor analysis usually adopts stochastic gradient descent(SGD)as its learning ***,owing to its serial mechanism,an SGD algorithm suffers from low efficiency and scalability when handling large-scale industrial *** at addressing this issue,this study proposes a momentum-incorporated parallel stochastic gradient descent(MPSGD)algorithm,whose main idea is two-fold:a)implementing parallelization via a novel datasplitting strategy,and b)accelerating convergence rate by integrating momentum effects into its training *** it,an MPSGD-based latent factor(MLF)model is achieved,which is capable of performing efficient and high-quality *** results on four high-dimensional and sparse matrices generated by industrial RS indicate that owing to an MPSGD algorithm,an MLF model outperforms the existing state-of-the-art ones in both computational efficiency and scalability.

关键词： Big data industrial application industrial data latent factor analysis machine learning parallel algorithm recommender system(RS) stochastic gradient descent(SGD)

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