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Novel Model for the Efficient Vehicle Movement in Vehicular Ad hoc Network Based IOT

Novel Model for the Efficient Vehicle Movement in Vehicular ...

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advances in computing, Communication Control and Networking (ICAC3N), international conference on

作者： Alok Gupta Er. Nitika Kapoor Department of Computer Science and Engineering Chandigarh University Mohali Punjab India

Networks that have multiple vehicle nodes that have complete freedom to enter or exit the network are called vehicle ad-hoc networks (VANETs). Establishing a protecting and competent pathway between end-to-end terminals is a complicated job by virtue of to the excessive movement of automobiles in the vehicular network. The selection of a pathway between source and destination relies on two evaluation criteria, namely sequence number and lowest hop count. In this project, this pathway has been formed by adopting a multicasting strategy. This strategy routes the data to select the source nodes from the network. A source node plays an important role in choosing a path between the end-to-end terminals. The methodology designed is implemented in NS2 tool and analytical results are achieved on the basis of some universal performance indices.

关键词： Buildings Vehicular ad hoc networks Multicast communication Routing protocols Safety Planning Delays

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Hybrid Classification Approach with Textural Feature Analysis for Plant Disease Detection

Hybrid Classification Approach with Textural Feature Analysi...

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advances in computing, Communication Control and Networking (ICAC3N), international conference on

作者： Ravindar Kumar Vikas Jindal Department of Computer Science Chandigarh University Mohali

The significant task of image processing in the domain of plant disease is of diagnosing the diseases occurred on plants because much complicated data is employed as input. Different stages are executed to detect the plant diseases using several techniques. The earlier work suggests SVM technique for diagnosing plant infections. This work projects a voting mechanism to improve various parameters like accuracy, precision and recall in comparison with the traditional methods. The projected mechanism was simulated using MATLAB. An analysis is conducted on the results with regard to some metrics. The outcomes exhibited that the projected mechanism is more effective as compared to other method. The proposed model achieves accuracy of 96 percent which approx. 3 percent higher as compared to existing SVM classifier.

关键词： Support vector machines Measurement Plant diseases Image segmentation Prediction algorithms Feature extraction Mathematical models

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Role of iot and big data support in healthcare

Role of iot and big data support in healthcare

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international conference on Computational Intelligence and Communication Technology, CICT 2019

作者： Yadav, Vikash Kundra, Parul Verma, Dhananjaya Department of Computer Science & Engineering ABES Engineering College Ghaziabad India Department of Computer Applications ABES Engineering College Ghaziabad India

ISBN: (纸本)9789811512742

Healthcare is one of the major sectors in any country, both in terms of the revenue that it generates and the services that it is providing to mankind, and also, it provides employment opportunities to millions of people. Healthcare sector comprises of technology-enabled health services, multi-facility hospitals, on board healthcare services and telemedicine, multifunction medical devices and specialized machines. In this paper, the role of Internet of things with the help of new technologies involved and big data has been shown towards the field of healthcare. © Springer Nature Singapore Pte Ltd. 2021.

关键词： Medical imaging

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Using Prediction Based Approaches to Improve Diagnostic Accuracy for BreastCancer

Using Prediction Based Approaches to Improve Diagnostic Accu...

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advances in computing, Communication Control and Networking (ICAC3N), international conference on

作者： Palak Kamaljit Singh Saini Department of Computer Science Chandigarh University Chandigarh India

Diagnosis BC is a tremendous challenge in the medical domain. In ongoing exploration, the classification of imbalanced dataset certainly stands out enough to be noticed. Imbalanced classification reduces the model's performance by favoring the majority class, although we used a balanced dataset called "Diagnostic Wisconsin BC" in this research. To measure the performance, we compared the different ML algorithms. In order to deploy ML techniques the dataset was divided into train and test data. The hyper tuning settings wereemployed to boost the models' accuracy. Further the ML algorithms compare with the ensemble-based learning techniques like voting classifier, bagging and boosting. Thesecond important part of this article is feature selection for diagnosing BC based on the tumor traits chosen.

关键词： Prediction algorithms Feature extraction Robustness Classification algorithms Metastasis Ensemble learning Task analysis

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Didactic Strategy with the Application of technologies to Contribute to the Development of Modelling Skills from Operations Research Subject 17th

Didactic Strategy with the Application of Technologies to Co...

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17th Annual conference of the international-Association-of-Online-Engineering (IAOE) and the Global-Online-Laboratory-Consortium (GOLC) on Remote Engineering and Virtual Instrumentation (REV) - Cross Reality and data science in Engineering

作者： Gonzalez Lopez, Lester Badia Albanes, Valentina Valdes Fernandez, Yudeisy Univ Informat Sci Havana Cuba Univ Havana Havana Cuba

ISBN: (纸本)9783030525750;9783030525743

The knowledge society demands new ways to develop the learning teaching process, where Information and Communication technologies (ICT) plays a major role with the use of educational technology as a didactic tool for the development of skills. The University of Informatics sciences offers a degree in Informatics sciences Engineering, which has Operations Research subject within the Applied Mathematics discipline. This program is in charge of developing in the students the skill of modelling problems of linear programming, necessary for a professional of this area. Through the review of semester reports, pedagogical observations, interviews and surveys applied to students and teachers;several insufficiencies were evidenced in the learning teaching process of this subject;that indicates a low level of skill development of modeling linear programming problems. For this reason, this research objective is to elaborate a didactic strategy that makes use of the ICT for contributing to the development skills to model problems from Operations Research course in students of Informatics sciences Engineering. As part of the strategy, a set of actions were defined to be executed by students and teachers in each of the four stages developed: diagnosis, planning, execution and evaluation. In this stage, a group of indicators was defined to measure the level of the development of the skill, according to a three levels scale. A collection of exercises was also made to model linear programming problems to work in classes, according to the current socioeconomic context. Finally, the results of the validation of the strategy are shown, through a pre-experiment, and the application of Iadov's satisfaction test.

关键词： Modeling Skill Didactic strategy Educational technology

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Analysis of CNN Model with Traditional Approach and Cloud AI based Approach

Analysis of CNN Model with Traditional Approach and Cloud AI...

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Automation, computing and Renewable Systems (ICACRS), international conference on

作者： Utkarsh Kushwaha Puja Gupta Sonu Airen Megha Kuliha Department of Information Technology Shri G.S. Institute of Technology and Science Indore M.P India

ISBN: (纸本)9781665460859

A plethora of work has been done in the field of AI, including research and real-time applications; however, cloud computing and its technologies have amended Artificial Intelligence applications; cloud computing has aided a lot in deep learning, which is a subset of AI; with the use of cloud computing, the performance and improvement of data set and model, the time and resource consuming process has become much more facile. Making data sets suitable for model training is a time-consuming operation; hence, a transfer learning idea is proposed for simplification, but it must be concrete to the desired data set. The advancement of cloud AI and the usage of resources such as the GPU made it possible to train and evaluate CNN models in less time. This study compares the performance and feasibility of CPU-based local computers and GPU-based cloud platforms like Google colaboratory in terms of speed, power, and security.

关键词： Training Cloud computing Renewable energy sources Computational modeling Neural networks Transfer learning data models

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Analysis on Operation Mode of Y-Type Rail Transit in Suburbs

Analysis on Operation Mode of Y-Type Rail Transit in Suburbs

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2021 international conference on Applied Mathematics, Modeling and Computer Simulation, AMMCS 2021

作者： Gao, Qiqi Mao, Baohua Wang, Min Zhou, Qi Ge, Yi Key Lab. of Transport Industry of Big Data Application Technologies for Comprehensive Transport Beijing Jiaotong University Beijing China School of Transportation Beijing Jiaotong University Beijing China China Railway Siyuan Survey and Design Group Co. LTD China

ISBN: (纸本)9781643682549

The construction of a Y-type urban rail transit line can effectively solve the problems of low line coverage and low utilization in suburban areas. The purpose of this paper is to study and analyze the effect of different operation modes of the Y-type line of suburban urban rail transit. In this paper, the objective function is to minimize value of passenger travel time costs and enterprise operating costs, and the main and branch train frequencies are used as decision variables to establish a selection model for Y-type operation mode, and design an improved multi-objective optimization algorithm based on NSGA-II. A case study was carried out on the Y-type line to evaluate the effect of each scheme. The results of the study found that there is no obvious difference between the advantages and disadvantages of the three operation modes. The passenger waiting time under the independent operation plan is the highest but the comfort level is greater, and the train travel distance is the lowest. The partial- through operation accommodates the interests of both passenger and business. Therefore, the corresponding operating mode should be selected according to the preferences of passengers and enterprises. © 2022 The authors and IOS Press.

关键词： Operating costs

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Face Mask and Helmet Facial Detection for ATM Security Using Image Processing in Cloud computing

Face Mask and Helmet Facial Detection for ATM Security Using...

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data science, Agents & Artificial Intelligence (ICDSAAI), international conference on

作者： B. Veena S. Babu Department of Computing Technologies SRM Institute of Science and Technology Kattankulathur Tamil Nadu India

ISBN: (纸本)9798350333855

As we have seen in lots of newspaper, news and many magazines that robbery became the common and main issue going on over the world. My biggest concern is on secure ATM transaction, where nowadays many ATM’s get misleaded and robbery are occurring very easily. So, to handle this situation Image processing has been playing a major role to identify the person who are doing the transaction via ATM. Because has the covid cases are increasing many people wear mask and helmet and do misuse the ATM for illegal transaction, here where the image processing helps to differentiate the person wearing mask/helmet and without mask/helmet for the further ATM transaction. And secondly Cloud is also playing a major in storing the datas where it stores the static data to train the model and to detect the accuracy and stores the captured real time image in different folder so that we can easily identify the person with mask/helmet and without mask/helmet.

关键词： COVID-19 Cloud computing databases Image processing Real-time systems data models Safety

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Various Threats and Attack on Cloud computing: A Review

Various Threats and Attack on Cloud Computing: A Review

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international conference on Contemporary computing and Informatics (IC3I)

作者： Rajakumar Ponnumani N Partheeban School of Computing Science & Engineering Galgotias University UP India

In recent decades, software and its services have played a vital role in everyone’s lives. Because of the internet’s phenomenal growth and use all over the world, data stored in various parts of the territory is linked together for better availability. The availability of resources and services is achieved through cloud computing technologies. Cloud computing allows multiple organizations to access the resources with increased infrastructure at a low cost, and the estimation of the cost depends on how much computational power is being used. In a Cloud environment, the availability of resources is attained through efficient load balancing algorithms. The data from various organizations is stored in different servers of the cloud, and it can be accessed through the cloud service providers. Reliable and secured storage of data in the cloud is one of the main challenges of the cloud environment. This paper looks at all of the different kinds of security problems in cloud computing.

关键词： Productivity Cloud computing Costs Organizations Software Security Servers

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Task Migration in Volunteer computing Systems

Task Migration in Volunteer Computing Systems

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advances in computing, Communication Control and Networking (ICAC3N), international conference on

作者： Ehab Saleh Chandrasekar Shastry Department of Computer Science and Engineering Jain University Bangalore India

Volunteer computing is the use of underutilised computing power donated by volunteers who want to participate in ongoing high-throughput scientific projects. Due to the general simplicity of this concept, this type of computing attracts thousands of volunteers from all over the world. Many of them, however, leave the network, prompting the main server to initiate Task Migration, which involves transferring the remaining job to another volunteer’s device on the network. In this paper, we conduct two experiments in the task migration procedure in peer-to-peer volunteer network. In the first experiment, the server starts the migration procedure when it detects the first available volunteer, whereas in the second one, the server starts the migration after all of the server’s sub-peers have completed their jobs. To ensure the network’s heterogeneity, we select the dataset GWA-T-13 Materna, which contains performance metrics described as trace files of over 1500 VMs from the distributed Materna data Centers in Dortmund, Germany. In both experiments, we compare the total execution time of the entire task and the maximum execution time that a peer can have to complete its assigned work. The simulation results show that in the second experiment, the main task was completed in less time than in the first experiment.

关键词： Measurement Distributed processing data centers Simulation Computer applications Peer-to-peer computing Servers

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