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Design Implementation of IoT Based Industrial Automation Syste 11

Design Implementation of IoT Based Industrial Automation Sys...

引用

11th international conference on computing, Communication and networking Technologies, ICCCNT 2020

作者： Lokman, Tayeb Bin Islam, Mohammad Touhidul Apple, Mouslah Uddin International Islamic University Chittagong Dept of EEE Chittagong Bangladesh

ISBN: (纸本)9781728168517

Internet of things is the most updating technology in recent years. Now anyone can easily monitor, measure, control, find updated information and data like how much product produce in per hour, per day, per week of any industry through IOT. And also can observe continuous update of running condition in sited anywhere. the paper proposes piece together with monitoring, controlling, measuring, product counting and finding updated information of any automatic industry using IoT. this embedded system designed by Raspberry pi, cloud server to be more exact. Here Raspberry pi operates the whole system, analyzes performance and machine observation, makes it unique than other systems. It provides not only controls but also self-analyzed data result by which productivity and efficiency can be increased. Here the cloud server works as a connector between industry and control device where all information are stored through Raspberry pi. the cloud server is created by CAYENCE software. To implement the whole system successfully, it uses Linux operating system and Python. HTML programming language is used in the system for coding purpose. © 2020 IEEE.

关键词： Internet of things

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An Autonomous Food Wastage Control Warehouse: distributed Ledger and Machine Learning based Approach 11

An Autonomous Food Wastage Control Warehouse: Distributed Le...

引用

11th international conference on computing, Communication and networking Technologies, ICCCNT 2020

作者： Nikish Kumar, S.V. Balasubramaniam, Saiharsha tharagesh, Sanjay R. S. Kumar, Priyanka Janavi, B. Amrita School of Engineering Coimbatore Amrita Vishwa Vidyapeetham Department of Computer Science and Engineering India

ISBN: (纸本)9781728168517

Food is an essential aspect of our lives. Back in those days, people consumed seasonal fruits and vegetables which were available locally and on a daily basis. But things have changed when refrigeration units were invented. People were now able to store and consume food products which were nonseasonal also. In today's world, warehouses and cold chains are of striking importance because most of the food products that we see in our supermarkets and grocery stores come from them. Due to improper management of food products these warehouses have become an epicenter for food wastage. Since most of the traditional warehouses are manual or RDBMS based, they can be easily tampered. With these considerations in this paper, we have proposed an autonomous warehouse system which will tackle food wastage by using Machine Learning and Blockchain technology. © 2020 IEEE.

关键词： Warehouses

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A Survey on RealSense: In context of Research and Application 11

A Survey on RealSense: In context of Research and Applicatio...

引用

11th international conference on computing, Communication and networking Technologies, ICCCNT 2020

作者： Rabbani, Masud Mia, Md. Jueal Khan, thaharim Zarif, Md Ishrak Islam Daffodil International University Department of Computer Science and Engineering Bangladesh Khulna University of Engineering Technology Department of Computer Science and Engineering Bangladesh

ISBN: (纸本)9781728168517

RealSense technology is such a technology which is implemented for machines and device for measuring the capabilities of those apparatus. the capabilities are related to the perceptions of those machines and devices. this technology mainly learns a machine to understand the world with cogitation. RealSense technology introduces cameras to explore the environment with ins and out as it is parallel working with high definition cameras. this technology is used in many categories. Object detection, facial expression detection, shape measurement, image processing, and so on. Among all of the types, RealSense technology is used in huge amount for object detection. In this category real sense mainly focus on the object which is vitally important for understanding the full scene, and understanding the other aspect of the scene with which the object can be classify for better understanding. this paper mainly provides an overview of RealSense technique to the modern technology with its 3D visual functionalities adding the developed application which is published based on Microsoft Kinet and also with SR300 technology. Also this work can give a clear overview to the researchers about the fact that which domain of research is easier with this RealSense technology and in which domain they get more accuracy. © 2020 IEEE.

关键词： Object detection

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A Machine Learning Approach for Predicting the Sunspot of Solar Cycle 11

A Machine Learning Approach for Predicting the Sunspot of So...

引用

11th international conference on computing, Communication and networking Technologies, ICCCNT 2020

作者： Khan, thaharim Arafat, Faisal Mojumdar, Mayen Uddin Rajbongshi, Aditya Siddiquee, Shah Md Tanvir Chakraborty, Narayan Ranjan Daffodil International University Department of Computer Science and Engineering Bangladesh

ISBN: (纸本)9781728168517

Sunspots are the fascinating things on the periphery which is the reason it would be all the more captivating if sunspots become predictable. Sunspot number (SSN) is used in this regard to predicting the Solar Cycle (SC) 25 using the data set containing data from the year of 1818. this is work mainly a representation of Artificial Neural Network (ANN) for predicting the Solar Cycle (SC). For time series related data set as well as continuous data set the main issue is gap length of the data set. Long Short Term Memory (LSTM) network can handle this type of continuous dataset also capable of learning long term dependencies as well. this work mainly detaches various sunspot numbers (SSN) for measuring the Solar Cycle (SC) 25. Like other sunspot numbers (SSN) prediction method this work is not splitting the data set into many parts for analyzing. this result is propulsion for disclosing various differences as well as influence. this model is one of the most effective time series model for measuring the Solar Cycle (SC) 25 compared with other predicted models of time series. © 2020 IEEE.

关键词： Time series

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Investigation of Reduced Size Annular Ring Patch Antenna with EBG Structure for Wireless Applications 11

Investigation of Reduced Size Annular Ring Patch Antenna wit...

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11th international conference on computing, Communication and networking Technologies, ICCCNT 2020

作者： Sarkar, Pallab Kumar Rahaman, Imteaz Rahman, Mim Naz Hasan, Md. Fahad Rajshahi University of Engineering and Technology Department of Electrical and Electronic Engineering Rajshahi6204 Bangladesh American International University Department of Electrical and Electronic Engineering Bangladesh

ISBN: (纸本)9781728168517

this paper represents relative analysis of performance parameters and cost comparison of different microstrip patch antennas. Rectangular and annular ring patch antennas have been designed considering the resonant frequency of 5.25 GHz. this frequency has been selected as so the proposed annular ring microstrip patch antenna can cover a well portion of few wireless applications like IEEE 802.11a Wireless Local Area Network (WLAN) (5.125-5.395 GHz) Worldwide interoperability for Microwave Access (Wi-MAX) (5.25-5.85 GHz). the ground plane has been incorporated by fan shaped Electro-Magnetic Band Gap (EBG) to have better radiation patterns. the proposed annular ring patch antenna exhibits bandwidth of 202 MHz, directivity of 7.23 dBi and relatively healthy radiation efficiency of 88.39%. the noteworthy point of this particular design is its comparatively small size of the patch as well as ground plane. the design and simulation have been accomplished using FDTD method based transient solver of CST MWS software. © 2020 IEEE.

关键词： Microstrip antennas

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Kubernetes: Towards Deployment of distributed IoT Applications in Fog computing 20

Kubernetes: Towards Deployment of Distributed IoT Applicatio...

引用

11th ACM/SPEC international conference on Performance Engineering (ICPE)

作者： Kayal, Paridhika Univ Toronto Toronto ON Canada

ISBN: (纸本)9781450371094

Fog computing has been regarded as an ideal platform for distributed and diverse IoT applications. Fog environment consists of a network of fog nodes and IoT applications are composed of containerized microservices communicating with each other. Distribution and optimization of containerized IoT applications in the fog environment is a recent line of research. Our work took Kubernetes as an orchestrator that instantiates, manages, and terminates containers in multiple-host environments for IoT applications, where each host acts as a fog node. this paper demonstrates the industrial feasibility and practicality of deploying and managing containerized IoT applications on real devices (raspberry pis and PCs) by utilizing commercial software tools (Docker, WeaveNet). the demonstration will show that the application's functionality is not affected by the distribution of communicating microservices on different nodes.

关键词： Fog computing IoT fog nodes microservices Kubernetes Docker

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Distance Estimation of Preceding Vehicle Based on Mono Vision Camera and Artificial Neural Networks 11

Distance Estimation of Preceding Vehicle Based on Mono Visio...

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11th international conference on computing, Communication and networking Technologies, ICCCNT 2020

作者： Karthika, K. Adarsh, S. Ramachandran, K.I. Amrita School of Engineering Coimbatore Amrita Vishwa Vidyapeetham Dept. of Electronics and Communication Engineering India Centre for Computational Engineering Networking Amrita School of Engineering Coimbatore Amrita Vishwa Vidyapeetham India

ISBN: (纸本)9781728168517

Most of the research in automotive literature has been focused on the object detection task because of which distance estimation between vehicles has gained less attention in the computer vision. Distance between vehicles is foremost important to prevent accidents and enhance vehicle safety. To keep a safe distance between vehicles and avoid the traffic accidents, traditional method of inverse perspective mapping algorithm is used. It is observed that the algorithm resulted in poor performance for far distance objects. To solve the problem of high error rate of preceding vehicle distance measurement of driver assistant system, this paper proposes an Artificial Neural Network (ANN) based algorithm, which is used to calculate the distance of preceding vehicle from camera images. the proposed model uses a supervised learning algorithm, YOLO (you look only once) object detector for vehicle detection. the input and output attributes were evaluated from the object bounding boxes, which is obtained from the object detector. the proposed ANN based system was estimated on the straight road images. the experiments conducted on KITTI benchmark, indicate that the proposed method has reduced the error rate to 2% compared with other existing methods. © 2020 IEEE.

关键词： Object detection

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A Novel Bounded-Error Piecewise Linear Approximation Algorithm for Streaming Sensor Data in Edge computing 11th

A Novel Bounded-Error Piecewise Linear Approximation Algorit...

引用

11th international conference on Intelligent networking and Collaborative Systems (INCoS) / 22nd international conference on Network-Based Information Systems (NBiS)

作者： Lin, Jeng-Wei Liao, Shih-wei Leu, Fang-Yie Tunghai Univ Dept Informat Management Taichung Taiwan Natl Taiwan Univ Dept Comp Sci & Informat Engn Taipei Taiwan Tunghai Univ Dept Comp Sci Taichung Taiwan

ISBN: (纸本)9783030290351;9783030290344

Many studies show that many Data compression schemes, like Bounded-Error Piecewise Linear Approximation (BEPLA) methods, have been proposed to lower the length sensor data, aiming to mitigating data transmission energies. When an error bound is given, these data compression schemes consider how to represent original sensor data by using fewer line segments. In this paper, besides BEPLA, we further deal with resolution reduction, which called Swing-RR (Resolution Reduction) sets a new restriction on the position of line segment endpoints. Our simulating results on existing datasets indicate that the length of compressed data is actually lowered.

关键词： Piecewise linear techniques

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DF-VLAD: Deepfake Video Detection based on Feature Aggregation 11

DF-VLAD: Deepfake Video Detection based on Feature Aggregati...

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11th international conference on Information Technology in Medicine and Education, ITME 2021

作者： Huang, Yun Luo, Zhiming Zhang, Miaohui Liu, Wei Li, Shaozi Xiamen University Department of Artificial Intelligence Xiamen China Institute of Energy Research Jiangxi Academy of Sciences Nanchang China School of Software East China Jiaotong University Nanchang China Fujian Provincial Key Laboratory of Networking Computing and Intelligent Information Wuyi University Nanping China

ISBN: (纸本)9781665406796

With the rapid development of Deepfake technology, face video forgery can produce highly deceptive video content and bring serious security threats. the detection of this kind of fake video is more urgent and challenging. Most of the existing detection methods regard this problem as a common binary classification problem, and using a simple average or maximum as the prediction of video results can easily lead to missed detection or false detection. While the video-based detection work such as LSTM, in Deepfake detection, too much focus on timing modeling will affect the performance of Deepfake video detection to a certain extent. Based on this, this paper proposes a VLAD-based aggregation module DF-VLAD, which advances the aggregation of multiple frames from the output layer to the feature layer, which on the one hand makes the aggregation more flexible, on the other hand, it also uses the objective function of forgery detection to directly guide the learning of frame-level depth representation;On the other hand, this paper deals with this problem as a special fine-grained classification problem, because the difference between fake face and real face is very subtle. It is found that the existing face forgery methods such as Face2Face and NeuralTextures leave some common artifacts in the spatial domain. Different forgery methods produce different artifacts, while natural faces have more similar features. To make the model pay more attention to artifacts, a forgery trace capture model based on the fusion of self-attention mechanism and channel attention mechanism is proposed in this paper. Like other fine-grained classification methods, note intentions are used to guide the network to pay attention to key parts of the face. Experimental results on different public data sets show that the proposed method achieves the latest performance. © 2021 IEEE.

关键词： Long short-term memory

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Routing Protocol Based on Bacterial Foraging Optimization and Type-2 Fuzzy Logic for Wireless Sensor Networks 11

Routing Protocol Based on Bacterial Foraging Optimization an...

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11th international conference on computing, Communication and networking Technologies, ICCCNT 2020

作者： Alla, Veerendra Kumar Mallikarjuna, M. School of Computing and Information Technology REVA University Bengaluru India

ISBN: (纸本)9781728168517

More and more researchers are working on improving the sensor nodes' energy efficiency owing to rise in the number of Wireless Sensor Networks' applications in various fields like military, space, healthcare, climate and agriculture. Sensor nodes are deployed in harsh and unapproachable environments with uncertain external conditions. Due to these reasons, it is even more important to improve the energy efficiency and thereby, network lifetime of sensors. In these unpredictable conditions, Fuzzy Logic systems work very well in handling uncertainties in an efficient manner. An attempt is made to implement a joint optimal clustering and routing solution using Type-2 Fuzzy Logic as well as Bacterial Foraging Optimization. In our proposed work, we try to design and implement an efficient cluster head selection algorithm using Type-2 Fuzzy Logic system and then use BFO routing algorithm to find optimal path for sending aggregated data to the BS. Our proposed approach will address the issues related hot-spot problem in the network by reducing the over heads in the formation of cluster, and helps in reducing the consumption of energy thereby prolonging the Network Life Time. We compared the implemented solution with LEACH protocol and achieved better network life time, increased residual energy and lower packet delivery loss. © 2020 IEEE.

关键词： Sensor nodes

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