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检索条件"任意字段=3rd IEEE International Conference on Distributed Computing in Sensor Systems"

共 5113 条记录，以下是1271-1280 订阅

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distributed Control systems Designing 3

Distributed Control Systems Designing

引用

3rd international conference on Control in Technical systems, CTS 2019

作者： Shestopalov, M.Yu. Pershin, I.M. Tsapleva, V.V. Saint Petersburg Electrotechnical University 'Leti' Department of Automation and Control Processes St. Petersburg Russia North-Caucasus Federal University Department of Control Systems and Information Technologies Pyatigorsk Russia

ISBN: (纸本)9781728125107

In the article, by the example of controlling the hydrolytosphere process, the distributed systems design method is considered. A feature of the control object is the implementation of an imperfect water intake (the length of the water intake part is less than the thickness of the aquifer). The main stages of designing are shown in the work: determination of the dynamic characteristics of an object;methodology for determining the parameters of a non-standard approximating link;synthesis procedure for a distributed control system and analysis of a closed-loop control system. The effectiveness of the proposed approach is confirmed by simulation results. © 2019 ieee.

关键词： distributed parameter control systems

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Proceedings - 3rd ieee international conference on Robotic computing, IRC 2019

Proceedings - 3rd IEEE International Conference on Robotic C...

引用

3rd ieee international conference on Robotic computing, IRC 2019

ISBN: (纸本)9781538692455

The proceedings contain 119 papers. The topics discussed include: modeling of a cable-based revolute joint using biphasic media variable stiffness actuation;LEO: liquid exploration online;human-in-the-loop prosthetic robot hand control using particle filters for grasp selection;UAV detection system with multiple acoustic nodes using machine learning models;remarks on recognition of aromas from tea leaves using deep neural network based on PPF-coated QCR sensor signals;GridSim: a vehicle kinematics engine for deep neuroevolutionary control in autonomous driving;UrdF generator for manipulator robot;conditional dilated convolution attention tracking model;exploring automatic identification of fantasy-driven and contact-driven sexual solicitors;identifying hazardous shapes in the plane;and a cyber-physical system for semi-autonomous oil gas drilling operations.

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A distributed Energy Management Approach for Residential Demand Response 3

A Distributed Energy Management Approach for Residential Dem...

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3rd international conference on Smart Grid and Smart Cities (ICSGSC)

作者： Kou, Xiao Li, Fangxing Dong, Jin Starke, Michael Munk, Jeffery Kuruganti, Teja Zandi, Helia Univ Tennessee Dept Elect Engn & Comp Sci Knoxville TN 37996 USA Oak Ridge Natl Lab POB 2009 Oak Ridge TN 37831 USA

ISBN: (纸本)9781728138480

The implementation of large-scale optimization and control of residential appliances to support demand response (DR) programs comes with the challenges of coordinated communication, privacy, and consideration of customer preferences. Solving this complexity is best suited through a distributed optimization and control approach at the residential level by leveraging the availability and intelligence of a home energy management systems (HEMS). In this paper, a hierarchical control scheme to coordinate large-scale residential demand response through coordination of HEMs is proposed. This scheme is based on the exchange of a reward price and aggregated load information between utility system and HEMS. Numerical results on a one hundred-house model demonstrate the computational efficiency of the proposed approach.

关键词： distributed computation home energy management system (HEMS) HVAC load aggregator residential demand response water heater

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HRPSlam: A Benchmark for RGB-D Dynamic SLAM and Humanoid Vision 3

HRPSlam: A Benchmark for RGB-D Dynamic SLAM and Humanoid Vis...

引用

3rd ieee international conference on Robotic computing (IRC)

作者： Zhang, Tianwei Nakamura, Yoshihiko Univ Tokyo Dept Mechanoinformat Sch Informat Sci & Technol Bunkyo Ku 7-3-1 Hongo Tokyo Japan

ISBN: (纸本)9781538692455

The dynamic environment is one of the challenging leftover problems for SLAM methods. Recently, researchers made a lot of efforts and achieved some breakthroughs in the dynamic SLAM research field. However, the existed RGB-D SLAM datasets are lacking the dynamic environment. In this paper, we present a novel SLAM benchmark which is dedicated to the dynamic environment SLAM solutions. Moreover, these datasets are acquired from an on-board camera on the HRP-4 humanoid robot, the humanoid dynamic motions, such as the shake from biped walking, the falling down case are included. The data of other on-board sensors, such as IMU, force sensor and joint angle encoders, are provided as well.

关键词： Simultaneous localization and mapping Humanoid robots Dynamics Vehicle dynamics

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Comparative Analysis of Sliding Mode Control and PI Controller for Boost Convereter for distributed Energy systems 3

Comparative Analysis of Sliding Mode Control and PI Controll...

引用

3rd international conference on Smart Grid and Smart Cities (ICSGSC)

作者： Manthati, Udaya Bhasker Annu, K. M. Punna, Srinivas NIT Warangal Dept Elect Engn Warangal Andhra Pradesh India

ISBN: (纸本)9781728138480

A comparative analysis of sliding mode control and PI controller for the operation of boost converter is presented in this paper. Proportional (P), Proportional Integral (PI), Proportional Integral Derivative (PID) controllers are the widespread linear control technique which are very ordinary and less costly for adjustment to a particular specification or requirement. Many industries use these controllers. On the other hand there is one non-linear sliding mode control (SMC) technique. It has many advantages like fast dynamical response, ingrained robust features of SMC. In the present paper, the boost converter is modeled and Pulse Width Modulation (PWM) based SMC and PI controllers are designed and simulated using MATLAB/SIMULINK. SMC and PI controller performance areanalyzed and compared and the results are projected.

关键词： distributed Generation (DG) Photo Voltaic Boost Converter Sliding Mode Controller (SMC) PI Controller Pulse Width Modulation (PWM)

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Blockchain-Based distributed Cooperative Control Algorithm for WSN Monitoring 15th

Blockchain-Based Distributed Cooperative Control Algorithm f...

引用

15th international conference on distributed computing and Artificial Intelligence (DCAI)

作者： Casado-Vara, Roberto Univ Salamanca BISITE Digital Innovat Hub Edificio Multiusos IDi Salamanca 37007 Spain

ISBN: (纸本)9783319996080

The management of heterogeneous distributed sensor networks requires new solutions to address the problem of data quality and false data detection in Wireless sensor Networks (WSN). In this paper, we present a nonlinear cooperative control algorithm based on game theory and blockchain. Here, a new model is proposed for the automatic processing and management of data in heterogeneous distributed wireless sensor networks stored in a blockchain. We apply our algorithm for improving temperature data quality in indoor surfaces.

关键词： Wireless sensors Network Blockchain Game theory Nonlinear models and systems Data quality False data detection Nonlinear cooperative control

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An Adaptive distributed Scheduling Algorithm for ieee 802.15.4e TSCH Protocol 3

An Adaptive Distributed Scheduling Algorithm for IEEE 802.15...

引用

3rd international Symposium on Autonomous systems (ISAS)

作者： Zhang, Yangyang Chen, Cailian Zhu, Shanying Shanghai Jiao Tong Univ Dept Automat Shanghai 200240 Peoples R China Minist Educ China Key Lab Syst Control & Informat Proc Shanghai 200240 Peoples R China

ISBN: (纸本)9781728112985

Industrial Wireless sensor Networks (IWSNs) can be flexibly deployed in industries with low cost. Thus, the industrial production process integrated with IWSNs can get more information to improve the performance of control and management. Due to the harsh environments and stringent reliability requirements in industries, Time-Slotted Channel Hopping (TSCH) is introduced in ieee 802.15.4e-based wireless networks to improve their certainty and reliability. However, there is no explicit scheduling mechanism which should be made according to the industrial production requirements and the wireless environments. In this paper, the structure of transmission sequence of the TSCH networks is proposed and the adaptive scheduling algorithm is key of the structure. The scheduling algorithm takes the difference between the number of packets in the queue and the number of scheduled cells as the error of the incremental PID controller which can schedule the suitable number of cells to transmit the packets timely. When the quality of channels changes, each node can execute an adaptive channel selection procedure to predict the difference of using different channels. As a result, each node can dynamically select suitable channels to use. Simulations validate the effectiveness of the proposed scheduling algorithm.

关键词： IWSNs ieee 802.15.4e TSCH scheduling algorithms

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A Survey on Fundamental of Wireless sensor Network with Various Issues in Optimization 3

A Survey on Fundamental of Wireless Sensor Network with Vari...

引用

3rd international conference on computing Methodologies and Communication (ICCMC)

作者： Dubey, Kumkum Kumar, Prashant Pathak, Pragati Kumar, Shobhit Rajpoot, Prince Pandey, Shivendra Kumar Rajkiya Engn Coll Informat Technol Ambedkar Nagar Akbarpur India REC Ambedkar Nagar Informat Technol Akbarpur India

ISBN: (纸本)9781538678084

Wireless sensor Network (WSN) is becoming the very provocative model to executing the surveillance tasks and monitoring. In spite of that there are many challenges grow increasingly to reduce the packet loss rate, energy depletion in order to enlarge the network lifetime. In this appraisement paper, we can oversee the recently research work and implementation method to make efficient network. Here we analyse the discrete techniques use in multi-objective optimization (MOO). During the last years, the problems arises in the real world optimization and to solve these types of problems, many researchers believe that multi-population techniques are the primarily used solution. It is based on the optimization of nature inspired algorithm. These techniques are one of the solution of multi-objective optimization. Hence, this review paper provide us the summary of all published publish work and future work. Which is depend on the method of multi-population. After the realization of methods used in multi-population based algorithm and significance of these methods. We noticed that this is time to give a summarization of the different published research work, and there are various aspects that used to discussing the future work. Hence, the main motive of this paper is to give a review of all summarize techniques used in the optimization of nature inspiration. Which are based on multi-population methods. The consequence issues in the method of multi-population that will also give a review and see the major application in the field of engineering and science. Basically, the proposed survey paper provide us a brief knowledge of the problems related to the real world optimization and its future work.

关键词： Wireless sensor Network (WSN) Multi Objective Optimization (MOO) Coverage Connectivity Network Lifetime

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Comparison of SVM and kNN classifiers for palm movements using sEMG signals with different features 3

Comparison of SVM and kNN classifiers for palm movements usi...

引用

3rd international conference on computing Methodologies and Communication (ICCMC)

作者： Bhusari, Ankita Gupta, Neha Kambli, Tanaya Kulkarni, Sukanya Bharatiya Vidya Bhavans Sardar Patel Inst Technol Dept Elect & Telecommun Engn Mumbai 400058 Maharashtra India

ISBN: (纸本)9781538678084

The human-machine interface plays a major role in the development of the prosthetic arm which acts as an immediate rehabilitation for the amputee. Electromyogram (EMG) signals which are signals acquired from muscles require high accuracy in detection, preprocessing, feature extraction and classification which is a challenging task The main focus of this paper is on how to improve the accuracy by using low cost electrodes so that the overall prosthesis cost can be lowered. Two different classification techniques, Support Vector Machine (SVM) and k-Nearest Neighbor (kNN) are employed and the results are compared to determine which method gives better accuracy. In this paper, classification and analysis is done on surface Electromyogram (sEMG) signals acquired from muscle sensor v3 and datasets available online. The movements to be classified are cylindrical, spherical and lateral. For analysis of the signals, four level wavelet decomposition was used and features such as Standard Deviation (SD),Waveform Length (WL) and Root Mean Square (RMS) were extracted and compared.

关键词： sEMG features kNN SVM classification comparison muscle sensor wavelet decomposition

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Automatic Plant Escalation Monitoring System Using IoT 3

Automatic Plant Escalation Monitoring System Using IoT

引用

3rd international conference on computing and Communications Technologies, ICCCT 2019

作者： Varalakshmi, P. Sivashakthivadhani, B.Y. Sakthiram, B.L. Department of Computer Technology Anna University MIT Campus Chennai India

ISBN: (纸本)9781538693711

Agriculture plays a crucial role in the Indian economy. It not only provides food and raw material but also provides employment opportunities and also helps in monitoring gas exchange problems, rainfall percolation and microbial activity. Hence it is important to find a technique which will classify infectious plant from healthy plant, in order to cure the diseased plant at early stages and also improve the yield of the agriculture. An hardware model is built using the Raspberry Pi 3 to indicate to the farmer about the temperature, pressure and soil moisture level when it goes below or above a threshold values. A new classification technique is developed based on the convolutional neural network (CNN) to classify infectious plant from the healthy plant and its efficiency is compared with SVM,KNN classifier and random forest. © 2019 ieee.

关键词： Wireless sensor networks

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