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检索条件"任意字段=Proceedings - 3rd International Conference on Distributed Computing Systems."

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Heterogeneous Ground-Air Autonomous Vehicle Networking in Austere Environments: Practical Implementation of a Mesh Network in the DARPA Subterranean Challenge

Heterogeneous Ground-Air Autonomous Vehicle Networking in Au...

引用

international conference on distributed computing in Sensor systems.(DCOSS)

作者： Harel Biggie Steve McGuire Department of Computer Science University of Colorado Boulder Boulder USA

ISBN: (数字)9781665495127

ISBN: (纸本)9781665495134

Implementing a wireless mesh network in a real-life scenario requires a significant systems.engineering effort to turn a network concept into a complete system. This paper presents an evaluation of a fielded system within the DARPA Subterranean (SubT) Challenge Final Event that contributed to a 3rd place finish. Our system included a team of air and ground robots, deployable mesh extender nodes, and a human operator base station. This paper presents a real-world evaluation of a stack optimized for air and ground robotic exploration in a RF-limited environment under practical system design limitations. Our highly customizable solution utilizes a minimum of non-free components with form factor options suited for UAV operations and provides insight into network operations at all levels. We present performance metrics based on our performance in the Final Event of the DARPA Subterranean Challenge, demonstrating the practical successes and limitations of our approach, as well as a set of lessons learned and suggestions for future improvements.

关键词： Measurement Mesh networks Base stations Robot sensing systems Sensor systems distributed computing System analysis and design

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Deep Learning Platforms for High-Performance and distributed computing Object Detection 3

Deep Learning Platforms for High-Performance and Distributed...

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3rd international conference on High Technology for Sustainable Development, HiTech 2020

作者： Lazarova, Milena Nakov, Ognyan Mihaylova, Elizabet Technical University of Sofia Dept. Computer Systems Sofia Bulgaria

ISBN: (纸本)9781728186511

Deep learning developed in the last decade and has been established as recent, modern and very promising technique with large potential to be successfully applied in various domains. Despite deep learning outperforms alternative techniques in providing solution to many different problems there are several concerns and limitations of the its usage, one of them being the computational complexity of the training process. The paper discusses the possibilities of taking advantage of high-performance and distributed computing for efficiently and effectively training deep learning models for computer vision applications. A comparison of deep learning platforms and frameworks utilized on high-performance computer systems.is presented and their application for computer vision problem of object detection is evaluated based on a suggested parallel computation architectural model and utilization of RetinaNet model. © 2020 IEEE.

关键词： Computer vision

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Research on control technology of virtual synchronous generator for distributed power 3

Research on control technology of virtual synchronous genera...

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3rd international conference on Electron Device and Mechanical Engineering, ICEDME 2020

作者： Shangying, Shi Shiyu, Huang Si Chuan Vocational and Technical College China

ISBN: (数字)9781728181455

ISBN: (纸本)9781728181455

In the current development process of the energy industry, the application of distributed energy in power systems.is increasing, and at the same time, it has brought new impacts and challenges to the safety and stability of power system operations. Because the distributed power source based on the power electronic inverter interface does not have the rotational inertia and damping components to keep the system stable. These are the inherent characteristics of synchronous generators in the development of traditional power systems. Virtual synchronous generator control technology, as an important method to effectively control distributed inverter power sources and ensure that they have similar characteristics to synchronous generators, can greatly improve the stability of power systems. Therefore, in order to ensure the effective application of distributed power in the power system, research and analysis on the control technology of virtual synchronous generators are needed. Only in this way can the active role of virtual synchronous generator control technology in distributed power be fully brought into play, and the safe and stable operation of China's power system can be ensured, while promoting the long-term sustainable development of the power industry. © 2020 IEEE.

关键词： Synchronous generators

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proceedings of the 2020 3rd international conference on Software Engineering and Information Management, ICSIM 2020 - Workshop 2020 the 3rd international conference on Big Data and Smart computing, ICBDSC 2020

Proceedings of the 2020 3rd International Conference on Soft...

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3rd international conference on Software Engineering and Information Management, ICSIM 2020 - and its Workshop 2020 the 3rd international conference on Big Data and Smart computing, ICBDSC 2020

ISBN: (纸本)9781450376907

The proceedings contain 46 papers. The topics discussed include: marker less hand gesture tracking using smart phones;friendnet backdoor: indentifying backdoor attack that is safe for friendly deep neural network;improving core topics discovery in semantic markup literature: a combined approach;an integrated of fuzzy rule base system and TOPSIS technique for multi-attribute decision making;efficient semantic segmentation through dense upscaling convolutions;dynamic image quality analysis and comparison between 6MHz and 8MHz bandwidths for DVB-C digital TV system;a cooperative trust evaluation scheme for tactical wireless sensor networks;and the moderating effects of mentoring in ERP systems.

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Access Control for a Connected Vehicle Ecosystem 11

Access Control for a Connected Vehicle Ecosystem

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11th international conference on Advanced Computer Information Technologies, ACIT 2021

作者： Ashutosh, Ashish Gerl, Armin University of Passau Department of Distributed Information Systems Passau Germany

In recent years, vehicles became a complex network of ECUs and sensors that communicate with each other and their environment. Vehicle data from these connected vehicles is processed and shared with multiple 3rd party applications via cloud vehicle data platforms or aftermarket products for added value. The rise of connected vehicles has also opened attacks on services that tamper with data. Thus, an increased risk of security and privacy in the automotive domain has to be mitigated. In this paper, we present a vehicle data use case to identify the requirements and challenges for security and privacy in the automotive domain. Furthermore, we conduct a literature review of access control models and evaluate them against the identified requirements. Based on our findings, we conclude that the Attribute Based Access Control (ABAC) model fulfils most of our vehicle specific requirements. © 2021 IEEE.

关键词： Access control

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3rd international conference on Big-Data and Cloud computing, ICBDCC 2019

3rd International Conference on Big-Data and Cloud Computing...

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3rd international conference on Big-Data and Cloud computing, ICBDCC 2019

ISBN: (纸本)9789811552847

The proceedings contain 62 papers. The special focus in this conference is on Big-Data and Cloud computing. The topics include: Classification of gender from face images and voice;an outlier detection approach on credit card fraud detection using machine learning: A comparative analysis on supervised and unsupervised learning;unmasking file-based cryptojacking;selection of a virtual machine within a scheduler (dispatcher) using enhanced join idle queue (ejiq) in cloud data center;an analysis of remotely triggered malware exploits in content management system-based web applications;gsm-based design and implementation of women safety device using internet of things;a novel approach on various routing protocols for wsn;fraud detection for credit card transactions using random forest algorithm;deep learning application in iot health care: A survey;L1 norm SVD-based ranking scheme: A novel method in big data mining;context aware text classification and recommendation model for toxic comments using logistic regression;self-supervised representation learning framework for remote crop monitoring using sparse autoencoder;determination of elements in human urine for transient biometrics;optimal placement of green power generation in the radial distribution system using harmony search algorithm;data security and privacy protection in cloud computing: A review;Re-ranking ODI batsman using JJ metric;intelligent cloud load balancing using elephant herd optimization;a quest for best: A detailed comparison between drakvuf-vmi-based and cuckoo sandbox-based technique for dynamic malware analysis;cloudstore: A framework for developing progressive streaming games;classification of dga botnet detection techniques based on dns traffic and parallel detection technique for dga botnet.

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Contingency Analysis and Placement of DG to Improve Power Performance Indices

Contingency Analysis and Placement of DG to Improve Power Pe...

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Electrical Power Engineering, Communication and computing Technology(ODICON), Odisha international conference on

作者： Raghvendra Tiwari Sarath Chandra Biranchi Narayan Kar Amiya Kumar Naik Pawan Dadaji Kamadi Parul Dubey Department of Electrical Engineering Teerthanker Mahaveer University Moradabad India Department of Electrical Engineering MNNIT Allahabad Prayagraj India Department of Electrical Engineering Seemanta Engineering College Odisha India Department of Electrical Engineering Shiksha O Anusandhar Deemed to be University Odisha India Department of Electrical Engineering G H Raisoni College of Engineering & Management Nagpur India Symbiosis Institute of Technology Nagpur Campus Symbiosis International (Deemed University) Pune India

ISBN: (数字)9798350354379

ISBN: (纸本)9798350354386

The power system constitutes a complex network where security is the priority. Contingency analysis emerges as a longstanding and widely embraced technique aimed at preemptively assessing the severity of potential outages and their ramifications, thereby facilitating necessary actions to uphold the power grid's security. Given the considerable number of components within the system, scrutinizing individual contingencies proves to be a laborious endeavour. However, it is imperative to identify those contingencies that could potentially trigger severe conditions within the power system. This is accomplished by using the fast decoupling load flow (FDLF) approach to compute performance indices, such as the reactive power performance index (PIv) and active performance index (PIp), for each transmission line outage. Subsequently, contingency ranking is performed within the MATLAB environment, furnishing operators with insights ranging from the most critical to the least significant outages in the power system. The integration of distributed generation (DG) into distribution networks is pursued with the objective of augmenting system performance indices. DGs are incorporated into load flow analysis employing either a constant power factor model (CPF) or a variable reactive power model (VRP), contingent upon the output power characteristics. These models are seamlessly integrated into the load flow analysis. The efficacy of this approach has been validated through testing on both IEEE 5-Bus and IEEE 14-Bus systems.by integrating mathematical models of DGs.

关键词： Reactive power Analytical models Power transmission lines Contingency management Mathematical models Performance analysis Security Reliability Load modeling Load flow analysis

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3rd international conference on Innovative computing and Communication, ICICC 2020

3rd International Conference on Innovative Computing and Com...

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3rd international conference on Innovative computing and Communication, ICICC 2020

ISBN: (纸本)9789811551475

The proceedings contain 196 papers. The special focus in this conference is on Innovative computing and Communication. The topics include: Tracking of soccer players using optical flow;selection of probabilistic data structures for spv wallet filtering;hybrid bf-pso algorithm for automatic voltage regulator system;malware classification using multi-layer perceptron model;protocol random forest model to enhance the effectiveness of intrusion detection identification;detecting user’s spreading influence using community structure and label propagation;bagging- and boosting-based latent fingerprint image classification and segmentation;selecting social robot by understanding human–robot interaction;flooding and forwarding based on efficient routing protocol;evaluating user influence in social networks using k-core;hardware-based parallelism scheme for image steganography speed up;predicting group size for software issues in an open-source software development environment;wireless cnc plotter for pcb using android application;epileptic seizure detection using machine learning techniques;analysis of minimum support price prediction for indian crops using machine learning and numerical methods;a robust methodology for creating large image datasets using a universal format;a comparative empirical evaluation of topic modeling techniques;an analysis of machine learning techniques for flood mitigation;link prediction in complex network: Nature inspired gravitation force approach;hridaya kalp: A prototype for second generation chronic heart disease detection and classification;depression anatomy using combinational deep neural network;two-stream mid-level fusion network for human activity detection;content classification using active learning approach;analysis of navic multipath signal sensitivity for soil moisture in presence of vegetation;transaction privacy preservations for blockchain technology;deeper into image classification.

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A Two-Stage Fuzzy Logic-Based distributed Clustering Scheme for Precision Farmland Monitoring 3

A Two-Stage Fuzzy Logic-Based Distributed Clustering Scheme ...

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3rd IEEE international Virtual conference on Innovations in Power and Advanced computing Technologies, i-PACT 2021

作者： Rajput, Anagha Kumaravelu, Vinoth Babu Murugadass, Arthi Gudla, Vishnu Vardhan Pune Institute of Computer Technology Dept. of Electronics and Telecommunication Maharashtra Pune India School of Electronics Engineering Vellore Institute of Technology Tamil Nadu Vellore India Andhra Pradesh Chittoor India Aditya Engineering College Dept. of Electronics and Communication Engineering Andhra Pradesh Surampalem India

ISBN: (纸本)9781665426916

Agriculture is the major contributor of national revenue for many developing countries. The embryonic of Internet of things (IoT) and wireless smart sensor network (WSSN) for precision agriculture provides automated systems.and quick services to farmers. Farmlands should be observed unceasingly to safeguard from crop-raiders, evaluate soil quality etc. for better reaping and productivity. The challenging issue of energy preservation of battery driven sensor nodes is tackled by employing clustering protocols. The main research issue is the best possible choice of cluster head (CH) in order to deal out network energy consumption. This paper proposes a fuzzy logic (FL) based self-organized clustering scheme for farmland monitoring. The data transmission distances of CH are decreased by inculcating super cluster head (SCH). The load balancing between the cluster members is accomplished by nominating an originator node, which executes the cluster formation. The proposed scheme functions in two stages. In stage one, CHs of the network are selected based on three input FL system. In stage two, SCHs are chosen among the CHs using two input FL system, making the network into two levelled structures. The proposed scheme has superior performance over the similar comparable protocols in terms of energy savings and stable network life span. © 2021 IEEE.

关键词： Fuzzy logic

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A Research of PPM in Digital Communication : the Influence of SNR 3

A Research of PPM in Digital Communication : the Influence o...

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3rd international conference on Wireless Communications and Smart Grid, ICWCSG 2021

作者： Chen, Jizhen Fan, Haocheng Yin, Zixin Zheng, Kaidi Ningbo Xiaoshi High School International Center Ningbo China High School Affiliated to Nanjing Normal University Nanjing China SHSBNU Beijing China University of York York United Kingdom

ISBN: (纸本)9781665425988

Automatic modulation identification and parameter estimation of digital communication signals are the key technologies in communication systems. In recent years, with the rapid development of modern communication and signal processing technology, the communication signal system and modulation style are becoming more complex and diverse. In addition, the signal transmission environment has become increasingly bad, all of these changes make the communication signal identification, and parameters estimation requirements are getting higher and higher. In this paper, we study some modulation and demodulation methods in digital communication. According to the published literature at home and abroad and our simulations, the theory of automatic modulation recognition for communication signals is increasingly rich and perfect, especially in the low SNR of modulation recognition and parameter estimation problem under the condition of more concern. © 2021 IEEE.

关键词： Parameter estimation

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