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检索条件"丛书名=Advances in Intelligent Systems and Computing"

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New Methods of Power Nodes Automatic Operation in Scope of Voltage Regulation, Reactive Power and Active Power Flow Control

New Methods of Power Nodes Automatic Operation in Scope of V...

引用

International Conference on Automation (AUTOMATION)

作者： Kolendo, Piotr Inst Power Engn Res Inst Gdansk Div Gdansk Poland

ISBN: (纸本)9783030132736;9783030132729

Group control systems (ARNE/ARST) are used for the automatic regulation of voltage, reactive power and active power flow control in polish National Power System (NPS). Those systems are used in polish NPS since '90, however due to constantly expanding electrical grid and new requirements for automation systems, a new solutions and control methods should be elaborated. Conditions for automatic control of power nodes are strongly dependent on requirements of Transmission System Operators (TSO) in each country, therefore solutions presented in paper will be appropriate for polish NPS. Paper describes solution of complex power node, on which automation should be prepared individually. On the basis of its case a new methods of group control were introduced i.e. control algorithms for phase shift transformers, coordination between step-up transformers and generators and control of industrial factories active/reactive power flow in respect to requested power angle. Control methods presented in this paper were implemented on industrial objects. Verification of its correctness is presented in the form of measurements from those industrial objects.

关键词： Coordinated voltage control ARNE/ARST systems Hierarchical voltage control

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A Robust Q-Learning and Differential Evolution Based Policy Framework for Key Frame Extraction

A Robust Q-Learning and Differential Evolution Based Policy ...

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Conference on intelligent computing, Information and Control systems (ICICCS)

作者： Rudra, Sudipta Thangavel, Senthil Kumar Amrita Vishwa Vidyapeetham Dept Comp Sci & Engn Amrita Sch Engn Coimbatore Tamil Nadu India

ISBN: (纸本)9783030304652;9783030304645

With the recent development in multimedia technologies, in rapid conjunction with the increase of the volume of digital video data through internet and web technologies. For this purpose solely, content based video retrieval (CBVR) has become a wide and vast area of research throughout the last decade. The objective of this thesis is to present applications for temporal video frame analysis based on performance evaluation of key frames and video sequence from the extracted key frames retrieval based on different mathematical models. In this work, through performance analysis, we extracted the key frames from a video into its constituent units. This is achieved by identifying transitions between adjacent temporal features. The proposed algorithm aims to extract the key frames based on the validation measures and cross mutation function through the modified differential evaluation algorithm. Given the size of the vector containing image pixels, it can be modeled by a parameter based cross evaluation function of the parent vector. The proposed system, designed for extracting key frames, has led to reliable algorithm achieving high performance for object re-identification. In addition, the high computational time allows for key frame analysis in real time. In our research, we opted for a global method based on local optimization. The proposed methodology is being validated against various state of the art key frame extraction algorithm which proves this methodology as reliable and faster complexion process for object reidentification.

关键词： Function evaluation

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Data Processing for Direct Marketing Through Big Data 3rd

Data Processing for Direct Marketing Through Big Data

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International Conference on Computational Vision and Bio-Inspired computing (ICCVBIC)

作者： Viloria, Amelec Varela, Noel Maldonado Perez, Doyreg Lezama, Omar Bonerge Pineda Univ Costa CUC Calle 58 55-66 Baranquilla Atlantico Colombia Univ Tecnol Centroamer UNITEC San Pedro Sula Honduras

ISBN: (纸本)9783030372187;9783030372170

Traditional marketing performs promotion through various channels such as news in newspapers, radio, etc., but those promotions are aimed at all people, whether or not interested in the product or service being promoted. This method usually leads to high expenses and a low response rate by potential customers. That is why, nowadays, because there is a very competitive market, mass marketing is not safe, hence specialists are focusing efforts on direct marketing. This method studies the characteristics, needs and also selects a group of customers as a target for the promotion. Direct marketing uses predictive modeling from customer data, with the aim of selecting the most likely to respond to promotions. This research proposes a platform for the processing of data flows for target customer selection processes and the construction of required predictive response models.

关键词： Data stream WEKA MOA SAMOA Big Data Direct marketing

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Mobile Real-Time Eye-Tracking for Gaze-Aware Security Surveillance Support systems 3rd

Mobile Real-Time Eye-Tracking for Gaze-Aware Security Survei...

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3rd International Conference on intelligent Human systems Integration (IHSI) - Integrating People and intelligent systems

作者： Marois, Alexandre Lafond, Daniel Vachon, Francois Harvey, Eric R. Martin, Bruno Tremblay, Sebastien Univ Laval Quebec City PQ Canada Thales Res & Technol Quebec City PQ Canada Ctr Imagerie Numer & Medias Interactifs Quebec City PQ Canada

ISBN: (纸本)9783030395124;9783030395117

The validity of two commercial-off-the-shelf eye trackers, including a fixed system and a mobile device, was compared in the context of a gaze-based assistant tool implemented to aid security surveillance. Participants performed a security surveillance simulation that required them to detect incidents across multiple video feeds. Aid from the Scantracker system-pinpointing neglected cameras while detecting and correcting attentional tunneling and vigilance decrease-was provided using gaze measures. Despite the lower amount of valid data for the mobile system, both devices computed similar measures of surveillance performance. Findings speak to the feasibility of using mobile robust-to-movement decision-support systems based on real-time gaze data to help improve incident detection in security surveillance environments.

关键词： Security surveillance Eye movements Attention Real-time measures Computer vision Mobile devices

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The Analysis and Research of Lifting Scheme Based on Wavelet Transform

The Analysis and Research of Lifting Scheme Based on Wavelet...

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International Conference on Cyber Security Intelligence and Analytics (CSIA)

作者： Ding, Li Chen, Weiqing Xian Med Univ Xian 710021 Shaanxi Peoples R China Xian Yuetai Sci & Technol Co Ltd Xian 710075 Shaanxi Peoples R China

ISBN: (纸本)9783030152352;9783030152345

Wavelet transform has the good characteristic of time domain and frequency domain, have been widely used in areas such as signal processing. With the development of science and technology there is a new wavelet transform method has appeared, and used as the core transforming technology in JPEG2000, a newest image compression standard. Based on the principle of lifting wavelet algorithm, this paper analyzes its characteristics. Analysis of the JPEG2000 algorithm used in Le Gall 5/3 and Daubechies 9/7 two wavelet transform.

关键词： JPEG2000 Wavelet transform Lifting scheme Structure

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A Critical Review on Internet of Things to Empower the Living Style of Physically Challenged People 2nd

A Critical Review on Internet of Things to Empower the Livin...

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2nd International Conference on computing, Communications and Data Engineering (CCODE)

作者： Kolli, Chandra Sekhar Reddy, V. V. Krishna Kavitha, Modepalli Koneru Lakshmaiah Educ Fdn Dept Comp Sci & Engn Guntur Andhra Pradesh India Lakki Reddy Bali Reddy Coll Engn Dept Informat Technol Krishna Andhra Pradesh India

ISBN: (纸本)9789811501357;9789811501340

We are living in the world in which we can connect anything to the Internet that forms a dynamic network and reduces the human intervention in all aspects. Due to the rapid improvements in the technology, especially in Internet of things (IoT) that facilitates and empowers the way of communication, data transfer among people, between the devices. It is already proven fact that how IoT was applied in creating smart homes, providing security, and comfort to the people in day-to-day activities by enhancing the quality of the living style. By considering and integrating the power of IoT, one can empower the lifestyle of physically challenged people. We can use this IoT to unlock the new value and explore the potential to provide a better and quality lifestyle to the disable people. In this article, we perform a critical review and analyze the lifestyle of the physically challenged people and present how best we can apply IoT to empower the quality of living style of such people. IoT can offer assistance, support and empower the physically challenged people and allow them to move around in the social life with ease and comfort. In this article, different application scenarios and domains, challenging issues are identified and addressed with possible solutions.

关键词： Internet of things Disability Security Comfort

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Estimation of Air Pollution Concentration in Sub-urban of Chennai City and Validation of the Same Using Air Quality Models 4th

Estimation of Air Pollution Concentration in Sub-urban of Ch...

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4th International Conference on Artificial Intelligence and Evolutionary Computations in Engineering systems (ICAIECES)

作者： Sudarsan, J. S. Kumar, R. Saravana Prasanna, K. Karthick, S. Suprajha, G. S. Natl Inst Construct Management & Res NICMAR Pune 411045 Maharashtra India Chennai Metro Rail Ltd Chennai Tamil Nadu India SRM Inst Sci & Technol Dept Civil & Environm Engn Chennai Tamil Nadu India SRM Inst Sci & Technol SRMIST Dept Software Engn Kattankulathur 603203 Tamil Nadu India

ISBN: (纸本)9789811501999;9789811501982

The rapid growth in population and industrial urbanization caused a massive rise in the number of automobiles which are the prime source of air pollution. It is estimated these automobiles contribute around 60% of air pollution in urban areas due to road traffic. A series of case studies is required to predict and foresee the CO levels along the highways, so as to draft a set of traffic administration measures in order to maintain the air quality levels within the standard tolerable limits. Thus, there is an immediate and alarming need to develop the checking of emission inventory competences in these urban cities which are essential for the formulation of a wide range of air pollution management strategies. There is also a critical need to develop modelling capabilities based on Indian standards. The National Highway, NH-45 between Tambaram and Chengalpet, of the Kanchipuram District, Tamil Nadu, Chennai, India Was selected for the study. Carbon monoxide (CO) concentration has been monitored at six interfaces. The CO concentration values were compared with NAAQS, and the same CO values were predicted using California LINE Source Dispersion Model, version 4 (CALINE4), American Meteorological Society/Environmental Protection Agency Regulatory Model (AERMOD). This specific study has concluded that the two models, CALINE4 and AERMOD, are capable of producing accurate predictions to a great extent.

关键词： Air pollution Carbon monoxide Urbanization Air quality Automobiles

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Semiautomated Ontology Learning to Provide Domain-Specific Knowledge Search in Marathi Language 3rd

Semiautomated Ontology Learning to Provide Domain-Specific K...

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International Conference on Data Management, Analytics and Innovation (ICDMAI)

作者： Chandolikar, Neelam Joglekar, Pushkar Bhosale, Shivjeet Peddawad, Dipali Jalnekar, Rajesh Shilaskar, Swati Vishwakarma Inst Technol Dept IT & MCA Pune Maharashtra India Vishwakarma Inst Technol Dept Comp Sci Pune Maharashtra India Vishwakarma Inst Technol Dept E&TC Pune Maharashtra India

ISBN: (纸本)9789813299498;9789813299481

In this research work, our goal is to build a self-sustainable, reproducible, and extensive domain-specific ontology for the purposes of creating a knowledge search engine. We have used online data as the primary information store using which we construct ontology by identifying concepts (nodes) and relationships between concepts. The project encompasses preestablished ideas gathered from successful NLP trials and presents a new variation to the task of ontology creation. The system, for which the ontology is being created, is a knowledge search engine in Marathi. This aims at building semiautomated ontology whose target demographic is primary school children and the selected domain is science domain. This project proposes a method to build semiautomated ontology. We use a combination of natural language processing method and machine learning method to automate the ontology learning task. Automatically learned ontology is further modified by language and domain experts to enrich the contents of ontology. Unlike, standard search engines, our knowledge search engine attempts to provide learned resources directly to the user rather than website links. This approach enables the user to directly get information without having to spend time on browsing indexed links.

关键词： Knowledge search engine Natural language processing (NLP) Ontology Resource description framework (RDF) Semantic search

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Timing Attacks on Machine Learning: State of the Art

Timing Attacks on Machine Learning: State of the Art

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intelligent systems Conference (IntelliSys)

作者： Kianpour, Mazaher Wen, Shao-Fang Norwegian Univ Sci & Technol Gjovik Norway

ISBN: (纸本)9783030295165;9783030295158

Machine learning plays a significant role in today's business sectors and governments, in which it is becoming more utilized as tools to help in decision making and automation process. However, these tools are not inherently robust and secure, and could be vulnerable to adversarial modification and cause false classification or risk in the system security. As such, the field of adversarial machine learning has emerged to study vulnerabilities of machine learning models and algorithms, and make them secure against adversarial manipulation. In this paper, we present the recently proposed taxonomy for attacks on machine learning and draw distinctions between other taxonomies. Moreover, this paper brings together the state of the art in theory and practice needed for decision timing attacks on machine learning and defense strategies against them. Considering the increasing research interest in this field, we hope this study provides readers with the essential knowledge to successfully engage in research and practice of machine learning in adversarial environment.

关键词： Adversarial machine learning Timing attacks Manipulation Learning models

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NOSeqSLAM: Not only Sequential SLAM 4th

NOSeqSLAM: Not only Sequential SLAM

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4th Iberian Robotics Conference (Robot) - advances in Robotics

作者： Maltar, Jurica Markovic, Ivan Petrovic, Ivan Univ Osijek Dept Math Osijek Croatia Univ Zagreb Fac Elect Engn & Comp Zagreb Croatia

ISBN: (纸本)9783030359904;9783030359898

The essential property that every autonomous system should have is the ability to localize itself, i.e., to reason about its location relative to measured landmarks and leverage this information to consistently estimate vehicle location through time. One approach to solving the localization problem is visual place recognition. Using only camera images, this approach has the following goal: during the second traversal through the environment, using only current images, find the match in the database that was created during a previously driven traversal of the same route. Besides the image representation method - in this paper we use feature maps extracted from the OverFeat architecture - for visual place recognition it is also paramount to perform the scene matching in a proper way. For autonomous vehicles and robots traversing through an environment, images are acquired sequentially, thus visual place recognition localization approaches use the structure of sequentiality to locally match image sequences to the database for higher accuracy. In this paper we propose a not only sequential approach to localization;specifically, instead of linearly searching for sequences, we construct a directed acyclic graph and search for any kind of sequences. We evaluated the proposed approach on a dataset consisting of varying environmental conditions and demonstrated that it outperforms the SeqSLAM approach.

关键词： Visual place recognition Localization SeqSLAM Deep convolutional neural networks

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