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Face Mask Detection using Keras, Opencv and Tensorflow by Implementing Mobilenetv2 3

Face Mask Detection using Keras, Opencv and Tensorflow by Im...

引用

3rd international conference on advances in computing, communication control and networking, ICAC3N 2021

作者： MacHiraju, Sashank Urolagin, Siddhaling Mishra, Ram Krishn Sharma, Vishnu Birla Institute of Technology and Science Pilani Department of Computer Science Dubai International Academic City Dubai United Arab Emirates BITS-Pilani APPCAIR Goa India Galgotias College of Engineering and Technology

ISBN: (纸本)9781665438117

The pandemic of Corona Virus Disease (COVID-19) is triggering a public health emergency. Wearing a face mask is one of the most important ways to combat the infection. Face mask identification is discussed in the article, and it can be used by authorities to enable COVID-19 avoidance, assessment, prevention, and action plans. In this project, we developed a deep learning model to detect the presence of a mask on a person. We have trained it using Keras and OpenCV. The image classification method: MobilenetV2 is used to speed up the training time and we use approx. 2000 images to train the model. © 2021 IEEE.

关键词： COVID-19

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GNU RADIO BASED control SYSTEM

GNU RADIO BASED CONTROL SYSTEM

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2nd international conference on advances in computing and communications (ICACC)

作者： Anand, R. Xavier, Gintu Hariharan, V Prasannan, Neethu Peter, Rakesh Soman, K. P. Amrita Vishwa Vidyapeetham Ctr Excellence Computat Engn & Networking Coimbatore 641112 Tamil Nadu India

ISBN: (纸本)9780769547237

This paper is an attempt to reveal the untapped immense power of the GNU Radio - an open source software, in control and monitoring systems, both real time applications and class-room demonstrations. GNU Radio has already gained wide acceptance and glory in communication and signal processing. As a novel attempt to bring the controlling capability of GNU Radio to limelight, an experiment for temperature control, out of its innumerable applications, and the possibility of a revolution by this free open source software is predicted and explained through this paper. This paper describes the hardware and software requirements for the temperature control experiment with SBHS (Single Board Heater System) using GNU Radio and describes the recommended classroom demonstration.

关键词： control system experiments GNU Radio SBHS

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Virtual Keyboard BCI using Eye blinks in EEG

Virtual Keyboard BCI using Eye blinks in EEG

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6th Annual IEEE international conference on Wireless and Mobile computing, networking and communications (WiMob)/STMWC/NASSUE/CMPA/VECON/AWSAN/AWSAN

作者： Chambayil, Brijil Singla, Rajesh Jha, R. Dr BR Ambedkar Natl Inst Technol Dept Instrumentat & Control Engn Jalandhar India

ISBN: (纸本)9781424477425

A Brain Computer Interface (BCI) provides a new communication channel between human brain and the computer. This paper is concentrated on developing a BCI system, a Virtual Keyboard using the LabVIEW platform. The Electroencephalogram (EEG) signal contains the technical artifacts (noise from the electric power source, amplitude artifact, etc.) and biological artifacts (eye artifacts, ECG and EMG artifacts). Eye blink is one of the main artifacts in the EEG signal. But in this context the Eye blinks are not artifacts and are control signals to select the blocks/characters in the Virtual Keyboard. The kurtosis coefficient and amplitude characteristics of the eye blink signals are used to detect the control signals.

关键词： BCI EEG Eye blink Kurtosis LabVIEW

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Review on Machine Learning Techniques for international Trade Trends Prediction 3

Review on Machine Learning Techniques for International Trad...

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3rd international conference on advances in computing, communication control and networking, ICAC3N 2021

作者： Gupta, Vaishali Kumar, Ela IGDTUW Delhi India

ISBN: (纸本)9781665438117

Now days, analyzing the past trend and make future predictions has become an important aspect for every field to growth. By analyzing the economic trends and knowing the future value of important economic variables makes a country more efficient in country's economic planning and developing policies. This can be achieved by increased application of machine learning more effectively and accurately. In recent years, Machine Learning techniques have been suggested as alternative approach to traditional statistical methods by many authors in the field of economics. As international trade policies critically affects employment and wages of a country that is important aspect for growth of a country, for policy makers all across the world, predicting future patterns of international trade is a top priority. This paper presented a literature review of the works where machine-learning techniques have been used in international trade trends prediction. The findings reveal that there is a growing interest in developing machine learning models for economic forecasting in comparison to conventional statistical methods. © 2021 IEEE.

关键词： international trade

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POSITION control OF BLDC MOTOR USING S-CURVE FOR TRAJECTORY PLANNING AND FEEDFORWARD control DESIGN 10

POSITION CONTROL OF BLDC MOTOR USING S-CURVE FOR TRAJECTORY ...

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10th international conference on computing, communication and networking Technologies (ICCCNT)

作者： Gavai, Aishwarya Kasbekar, Amit Mulay, A. V. Pune COEP Coll Engn Prod Engn Dept Mechatron Pune Maharashtra India Rajarshi Shahu Coll Engn Dept Elect & Telecommun Engn Pune Maharashtra India Pune COEP Coll Engn Dept Prod Engn & Ind Management Pune Maharashtra India

ISBN: (纸本)9781538659069

Position control of motor is of crucial importance in applications where precise positioning is required. It not only matters how quickly a certain position is obtained, but also how much the positioning error is reduced and how smoothly the position is achieved. Hence, trajectory planning is applied for controlling the path of the actuator, which is expected to obtain the required precise position. In the work presented herein, a brushless DC motor is used for achieving precise positioning, controlled through trajectory planning, using s -curve algorithm. The current work presents a model based approach for control system design for position control, along with experimental results. It presents the effect on performance parameters observed with s -curve algorithm implementation in comparison with the performance parameters obtained without trajectory planning.

关键词： brushless DC motor position control trajectory planning s-curve feedforward control feedback control

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Optimal Power control and Link Selection Policy for Buffer-Aided Two-Hop Secure communications

Optimal Power Control and Link Selection Policy for Buffer-A...

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international conference on computing, networking and communications (ICNC)

作者： Wan, Jing Qiao, Deli Qian, Haifeng East China Normal Univ Sch Informat Sci & Technol Shanghai Peoples R China East China Normal Univ Sch Comp Sci & Software Engn Shanghai Peoples R China

ISBN: (纸本)9781538636527

In this paper, secure communication over a buffer-aided two-hop communication link, in which a source sends data to a destination with the aid of a trusted half-duplex relay node in the presence of a passive eavesdropper, is studied. It is assumed that there is no direct link between the source and the destination, and the buffer-aided relay forwards the information to the destination by employing the decode-and-forward (DF) scheme. Both the source and the relay transmissions are assumed to be vulnerable to the eavesdropper. The perfect channel side information (CSI) of the network is assumed to be available at the source and the relay. Initially, conventional relaying protocols where equal partition of the time for the reception and transmission of the relay is considered. Then, the optimal time fraction with the optimal power control policy that maximizes the secrecy throughput is identified. Subsequently, the optimal joint link selection and power control policy that maximizes the secrecy throughput is derived. Numerical results demonstrate that the joint link selection and power control scheme can significantly improve the achievable secrecy throughput of the buffer-aided two-hop communication system.

关键词： Relays Throughput Resource management Power control Protocols conferences Numerical models

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An Energy Balanced Dynamic Topology control Algorithm for Improved Network Lifetime 10

An Energy Balanced Dynamic Topology Control Algorithm for Im...

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10th IEEE international conference on Wireless and Mobile computing, networking and communications (WiMob)

作者： Chu, Xiaoyu Sethu, Harish Drexel Univ Dept ECE Philadelphia PA 19104 USA

ISBN: (纸本)9781479950416

In wireless sensor networks, a few sensor nodes end up being vulnerable to potentially rapid depletion of the battery reserves due to either their central location or just the traffic patterns generated by the application. In this paper, we use a new approach that balances the energy consumption at each of the nodes, thus increasing the functional lifetime of the network. We propose a new distributed dynamic topology control algorithm called Energy Balanced Topology control (EBTC) which considers the actual energy consumed for each transmission and reception to achieve the goal of an increased functional lifetime. We analyze the algorithm's computational and communication complexity and show that it is equivalent or lower in complexity to other dynamic topology control algorithms. Using an empirical model of energy consumption, we show that the EBTC algorithm increases the lifetime of a wireless sensor network by over 40% compared to the best of previously known algorithms.

关键词： sensor networks ad hoc networks energy topology control

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Evaluation of disparity estimation techniques and its application in mapping

Evaluation of disparity estimation techniques and its applic...

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3rd international conference on computing communication and networking Technologies (ICCCNT)

作者： Feba, J. F. Raman, S. K. Sudeesh, B. Dayananda Sagar Coll Engn Dept ECE Bangalore Karnataka India ISAC Control Syst Grp Bangalore Karnataka India

ISBN: (纸本)9781467356930

This paper presents an evaluation of disparity estimation algorithms for mapping in mobile robot navigation context. The disparity estimation techniques compared in this paper are: Block matching and stereo matching based on chain code vectors. The parameters compared in this work are computation time and accuracy. Results indicates that the chain code vector matching technique is suitable for real-time applications as the computation is faster and is advisable for feature tracking as the memory requirement is lesser. The paper also presents the application of these techniques for mapping.

关键词： stereo vision disparity estimation mapping projective transform

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Smart Home networking: Combining Wireless and Powerline networking

Smart Home Networking: Combining Wireless and Powerline Netw...

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7th IEEE international Wireless communications and Mobile computing conference (IWCMC)

作者： Jin, Cheng Kunz, Thomas Carleton Univ Ottawa ON K1S 5B6 Canada

ISBN: (纸本)9781424495375

Integrating the power grid technology with renewable power generation technologies, Demand Response (DR) programs enabled by Advanced Metering Infrastructure (AMI) were introduced into the power grid in the interest of both utilities and residents. They help to achieve load balance and increase the grid reliability by encouraging residents to reduce their power usage during peak load periods. We compare mainstream network technologies applicable to home appliance control and propose a solution combining Power Line communication (PLC) with wireless communication in smart homes for the purpose of energy saving. Moreover, we explore and evaluate the network performance of DR programs in smart homes in such a combined network via a simplified networking simulation model.

关键词： Demand Response (DR) Advanced Metering Infrastructure (AMI) Power Line communication (PLC) NS-2

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Model based controller design for Melter process in Sugar Industry

Model based Controller design for Melter process in Sugar In...

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3rd international conference on computing communication and networking Technologies (ICCCNT)

作者： Saravanan, V. Valarmathi, K. Kalasalingam Univ Dept Instrumentat & Control Engn Krishnankoil Tamil Nadu India

ISBN: (纸本)9781467356930

B-Melter is a process which is very difficult to control by classical means. The output (cane juice) from the crusher is send to the pan house having sections namely A, B and C pans. The high quality sugar are get from only A-pan house and the juice from the B-Pan house normally called as B seeds (sugar), consists of B seeds and B-heavy molasses, here the viscous of Massecuite is normally high. So, in order to maintain the viscous of Massecuite Melter process is normally employed in sugar industry. Here the viscous of Massecuite get deduced up to 60 to 65 brix by adding the steam and hot water with the Massecuite and this temperature control will ensure the melting ratio of the Massecuite. The Mathematical model for the above process and the tuning parameters for PID controller are designed using the conventional technique. In order to reduce the process time and other unwanted disturbances, the Model Reference Adaptive control (MRAC) and Model Predictive control [7] has been designed and the controller response are verified with the Matlab Simulation results and it can be adaptively adjusted online for varying state of the system and changing operating conditions. This paper focuses a method for developing control algorithm for the control of such a process.

关键词： Melter process Massecuite ARX ARMAX BJ(Box-Jenkins) System Identification MRAC MPC

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