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A study on image processing with data analysis

AIP Conference Proceedings 2022年第1期2393卷

作者： D. Chandra Prakash R. C. Narayanan N. Ganesh M. Ramachandran S. Chinnasami R. Rajeshwari 1Kgreddy College of Engineering and Technology India 2Department of Computer Science and Engineering Sona College of Technology Salem India 3Department of CSE vel tech multi tech dr. Rangarajan dr. Sakunthala Engineering College Chennai India 4REST Labs Kaveripattinam Krishnagiri India

Image analysis is from images extracting meaningful information; mainly through digital image processing techniques from digital images. In this context, Tasks menu coded the tags are as simple as reading or a person from their face as sophisticated as identification. This paper presentation is made on various techniques used in analyzing images,like computer view is from digital images or videos Dealing with how computers can gain a higher level of understanding Is an intermediate field of science, Machine vision (MV) is for applications such as automation Used to provide imaging based automation analysis and analysisTechnology and methods. Study, process control and robot guidance. Format authentication is the automatic recognition of methods and regulations in data. This includes statistical data analysis, signal processing, and Contains applications in image analysis. The dividing a digital several, the innovations are detailed in more detail in the text.

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Deep convolutional neural network-based cassava plant leaf disease classification

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AIP Conference Proceedings 2022年第1期2519卷

作者： G. Arulkumaran B. Gopi Vijitha Khan R. Parameshwaran 1Department of Electrical and Computer Engineering Bule Hora University Bule Hora Addis Ababa Oromia Ethiopia 2Department of Electronics and Communication Engineering Muthayammal Engineering College Rasipuram Tamil Nadu India 3Department of Electronics and Communication Engineering Ahalia School of Engineering & Technology Kozhippara Kerala India 4Department of Electronics and Communication Engineering National Institute of Technology Tiruchirapalli Tamil Nadu India

Cassava is a woody plant in which leaf disease affects the productivity that primarily influences the farmers, as it occurs naturally. A Deep Convolutional Neural Network (DCNN) based leaf disease classification model is proposed. Automatic detection of cassava leaf disease assists humans in monitoring the huge farm of crops manually. Early detection of the disease symptoms on plant leaves aids in avoiding the spreading of leaf diseases throughout the farmland. The diseased leaf region is segmented. Its statistical features are extracted using Deep Learning (DL) technique and fed as input to the classifier with the training dataset model with various leaf diseases. First, the given input image is identified as a normal leaf or infected leaf. Followed by classifying the type of disease based on the pre-trained database with various datasets, namely Cassava Green Mite (CGM), Cassava Brown Streak Disease (CBSD), Cassava Bacterial Blight (CBB), Cassava Mosaic Disease (CMD) diseases.

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PV system with high voltage gain based DC-DC boost converter for grid applications

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AIP Conference Proceedings 2022年第1期2519卷

作者： S. Peniel Pauldoss K. Sekar Balachandra Pattanaik V. Senthil Nayagam 1Department of Mechanical Engineering Brilliant Group of Technical Institutions Hyderabad Telangana India 2Department of Electrical and Electronics Engineering Hindustan College of Engineering and Technology Coimbatore Tamil Nadu India 3Department of Electrical and Computer Engineering Wollega University Nekemte Ethiopia Africa 4School of Electrical and Electronics Engineering Sathyabama Institute of Science and Technology Chennai Tamil Nadu India

The production of electricity from renewable sources is growing. The study proposes to use the wind power grid-based PV system and to use a PWM control system to regulate the solar system with a three-phase grid. This study aims to create a system that enhances power on the spring and controls harmonics on the grid. The converters linked up with the 3-phase RL load of the generated PV arrays. The system is comprised of the inverter, PV module, and non-linear power boost converter. The proposed way of controlling PWM makes the system robust and reliable. The converter is connected to the input side voltage source inverter to step up the generated PV array voltage. A three-phase inverter uses sliding mode control to switch signals and control the transferred active power to the grid system and load. The suggested arrangement model is developed using MATLAB/Simulink.

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Wind turbine generators with boost converter system based on hybrid technology

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AIP Conference Proceedings 2022年第1期2519卷

作者： S. Kaliappan A. H. Nandhu Kishore R. Hemnath A. Ashlin Immanuel M. C. Anand Chakaravarthi Ram Subbiah T. C. Manjunath 1Department of Electrical and Electronics Engineering Kumaraguru College of Technology Coimbatore Tamilnadu India 2Department of Computer Science and Engineering PSNA College of Engineering and Technology Dindigul Tamilnadu India 3Department of Mechanical Engineering Sri Sairam Engineering Chennai Tamilnadu India 4Department of Mechanical Engineering Gokaraju Rangaraju Institute of Engineering and Technology Nizampet Hyderabad India 5Department of ECE Dayananda Sagar College of Engineering (DSCE) Bangalore Karnataka India

This article presents the design of a boost converter that is combined with a solar panel system and a tiny wind generator using hybrid methods. They are used in wind turbines with full-bridge DC to DC converters. The performance of the converter is improved by using a DC-to-DC converter with a passive filter. This passive filter efficiently reduces the voltage stress on the medium frequency transformer in a DC-to-DC converter. A dc-to-dc converter-based wind turbine control in a dc-grid system was also demonstrated. The suggested system is implemented using MATLAB. The simulation results on the DC-DC Boost Converter show an increase in power. The suggested system was simulated in the MATLAB/SIMULINK environment.

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Transformerless high step-up DC–DC converter with voltage multiplier concept

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AIP Conference Proceedings 2023年第1期2690卷

作者： Rajesh Kumar Patnaik A. Saravanan Keshav Patidar C. Jeeva E. Shiva Prasad Ganeshaperumal Dharmaraj 1Department of Electrical and Electronics Engineering GMR Institute of Technology Rajam Andhra Pradesh 532127 India 2Department of Mechanical Engineering Kongu Engineering College Perundurai Erode-638060 Tamil Nadu India 3Department of Electronics and Communication Engineering Indore institute of Science and technology Indore–453331 Madhya Pradesh India 4Department of Electrical and Electronics Engineering Sri Sai Ram Engineering College Chennai Tamil Nadu–600044 India 5Department of Electrical & Electronics Engineering Vallurupalli Nageswara Rao Vignana Jyothi Institute of Engineering & Technology Hyderabad - 500090 Telangana India 6Department of Computer Science Engineering Kalasalingam Academy of Research and Education Krishnankoil Srivilliputhur - 626128 Tamil Nadu India

This paper includes a Cockcroft-Walton (CW) high phase dc-dc voltage transition based on multiplier, with no step-up transformer. The suggested conversion approach is very appropriate for low-input dc generating systems with continuous input current on a switch, diode or condenser with a low rib, high voltage and low voltage. In this article two frequencies in the suggested control techniques are used, one works with high frequencies in order to reduce the inductor size, the other works with a comparatively low frequency based on the rip of the target voltage.

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Enhanced e-learning experience using simulation technologies – An experimental evaluation of intelligent simulation systems in a virtual classroom

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AIP Conference Proceedings 2022年第1期2670卷

作者： Surendheran Kaliyaperumal Mallika Vijayakumar and Emmanuel Joy 1Department of Visual Communication Karunya Institute of Technology and Sciences Coimbatore India 641114 2Department of Digital Sciences Karunya Institute of Technology and Sciences Coimbatore India 641114 3Department of Computer Science and Engineering Karunya Institute of Technology and Sciences Coimbatore India 641114

Augmented and Virtual Reality simulation technologies are among the fast-growing consumer-level intelligent simulation technologies and have been great solutions to enhance the user experience (UX) and interactivity. Many studies have shown that these technologies do help in virtual educational applications, but a discussion and comparison of their effects on students’ eLearning is quite limited. This experimental study focuses on evaluating the potential of AR and VR applications specially designed for eLearning purposes and tests the effects of intelligent simulations used in an e-learning virtual environment. This was done by presenting an online lecture both in VR and AR to two different groups of learners. The study was conducted among the students of multimedia in a reputed private university in India. The simulation technologies were compared in terms of participants’ test scores, engagement, excitement, and level of distraction. Scores of both the groups were compared and reported along with the participant's perception of each simulation technology. Quantitative and Qualitative data acquired from both groups have been analyzed and the results indicate that AR works best when incorporated into e-learning. This is one of the first conceptual studies of comparison between VR and AR for interactive online teaching. Further, this paper discusses the inevitability of making new tools to enable instructors to become creators of AR/VR experiences in education.

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A federated data-driven evolutionary algorithm

arXiv

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arXiv 2021年

作者： Xu, Jinjin Jin, Yaochu Du, Wenli Gu, Sai Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Shanghai200237 China Department of Computer Science University of Surrey GuildfordGU2 7XH United Kingdom Department of Chemical and Process Engineering University of Surrey GuildfordGU27XH United Kingdom

Data-driven evolutionary optimization has witnessed great success in solving complex real-world optimization problems. However, existing data-driven optimization algorithms require that all data are centrally stored, which is not always practical and may be vulnerable to privacy leakage and security threats if the data must be collected from different devices. To address the above issue, this paper proposes a federated data-driven evolutionary optimization framework that is able to perform data driven optimization when the data is distributed on multiple devices. On the basis of federated learning, a sorted model aggregation method is developed for aggregating local surrogates based on radial-basis-function networks. In addition, a federated surrogate management strategy is suggested by designing an acquisition function that takes into account the information of both the global and local surrogate models. Empirical studies on a set of widely used benchmark functions in the presence of various data distributions demonstrate the effectiveness of the proposed framework. © 2021, CC BY.

关键词： Optimization

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IoT based smart intruder system for baby monitoring

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AIP Conference Proceedings 2023年第1期2690卷

作者： Santaji Krishna Shinde J. Frank Vijay S. Gomathi Meena H. Roopa S. J. Suji Prasad S. Ramesh 1Department of Computer Engineering Vidya Pratishthan’s Kamalnayan Bajaj Institute of Engineering & Technology Baramati Pune Maharashtra 413133 India 2Department of Information Technology KCG College of Technology Karpakkam Chennai–600097 Tamil Nadu India 3Department of Computer Science VidhyaSagar Women’s College GST Road Vedanarayanapuram Chengalpattu Tamil Nadu 603111 India 4Department of Information Science and Engineering Bangalore Institute of Technology Bangalore Karnataka 560004 India 5Department of Electronics and Instrumentation Engineering Kongu Engineering College Thoppupalayam Perundurai Erode Tamil Nadu 638060 Tamilnadu India 6Department of Electronics and Communication Engineering St. Mother Theresa Engineering College Vagaikulam Mudivaithanenthal Post Thoothukudi Dist.–628102 Tamil Nadu India

We all know how difficult it can be for parents to properly feed their children, especially if both parents are employed. The next intolerant thing is to give someone 24 hours. As a result, must devise something special that will assist parents in providing constant care and monitoring for their children. As a result, came up with the idea of an Internet of Things (IoT)-based Smart Cradle System that will allow parents to keep tabs on their children even while they are away from home and track their every move. The cradle system is innovative, smart, and safe for taking care of a baby quickly. This method includes all of the tiniest features required for the baby’s care and safety while in the cradle. It also includes several features that will help parents keep tabs on their newborns and keep them informed about how they’re doing. An eight-day-old baby died in the Darbhanga district of Bihar’s government hospital’s neo-natal urgent care unit, allegedly from rat bites. The incident was made public when the mother went to breastfeed the baby in the morning. The incident occurred after the workers at the Darbhanga Medical College and Hospital (DMCH), located around 145 kilometres east of Patna, had gone home for the evening. The parents were natives of Madhubani’s Najra town. They claimed that the baby’s death was caused by a rat bite because blood was seeping from the boy’s toes and fingers, which had been injured and scarred. Everyone at the hospital has a distinct reason for wanting to keep such an incident from happening again. However, it was completely ignored by the parents. They stated that the child was admitted to the hospital in a severe condition and that only the therapy had been unsuccessful so far. However, the wounds discovered on the infant’s body prove that the occurrence occurred as a result of the hospital administration’s negligence. Because of the lack of infant monitoring, horrific occurrences like these occur all the time, not just in one hospi

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Smart development in the growth of plants using hydroponics and Internet of Things

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AIP Conference Proceedings 2022年第1期2393卷

作者： K. Vijayan G. Shanthi K. S. R. Radhika L. Raja 1Department of ECE SRM Insititute of Science and Technology Kattankulathur Chennai Tamilnadu India. 2Department of ECE Rajalakshmi institute of Technology Chennai Tamilnadu India. 3Department of Computer science and Engineering SRKR Engineering college Andhra Pradesh India. 4Department of ECE Srieshwar College of Engineering Coimbatore Tamilnadu. India.

With the total populace approaching 7.5 billion and worldwide success and the longing for more asset serious nourishments rising steeply too unmistakably cultivating necessities to turn out to be progressively profitable. Hydroponics soilless farming. Earthly plants have been developed only based on their foundations and type of minerals present in the earth, or the roots might be upheld by an inactive medium, for example, perlite or rock. To put it plainly, developing plants without soil, rather utilizing a supplement rich answer for convey water and minerals to their underlying foundations is Hydroponics. It's as of now being utilized to build cultivating yields and develop plants in living spaces that wouldn't typically continue them. Hydroponics is a technique for controlled Environment Agriculture (CEA). Though productivity is increased by implementing Hydroponics, it takes time and man power to constantly monitor a Hydroponic setup. Technological advancements in the field of Embedded Systems and the Internet of Things (IoT) has led to the introduction of techniques and methodologies to automate and remotely monitor an Hydroponic setupConventional farming has many drawbacks like pest or rodent infestation, easy transmission of diseases which considerably affects crop yield. In regular horticulture, soil bolsters a plant's underlying foundations helping it to stay upstanding and furnishes it with the supplements it needs to develop. In hydroponics, plants are misleadingly upheld, and an answer of ionic mixes gives supplements. This encourages an expanded take-up of supplements by plants and furthermore lessens water consumption by up to 60%.

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Frequency reconfigurable monopole antenna

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AIP Conference Proceedings 2022年第1期2519卷

作者： K. Periyarselvam N. C Sendhilkumar C. Malarvizhi R. Ganesan 1Department of Electronics and Communication Engineering GRT Institute of Engineering and Technology Tiruvallur Tamil Nadu India 2Department of Electronics and Communication Engineering Sri Indu College of Engineering & Technology Sheriguda Telangana India 3Department of Electronics and Communication Engineering Rajalakshmi Institute of Technology Chennai Tamil Nadu India 4Department of Computer Science and Engineering SRM Institute of Science and Technology Kattankulathur Chennai Tamil Nadu India

The proposal is for a compact and novel shaped frequency-reconfigurable Monopole antenna with a large tuning band. Depending on the switching states, the recommended antenna works in single band modes. In the modelling context, lumped components are utilised to offer variable capacitance, which is responsible for frequency settings. The built antenna’s tuning capacity has been discovered to be between 2.1 and 5.2 GHz. For all resonant bands, the proposed antenna has a VSWR of 1.3. The High Frequency Structure Simulator is used to test the proposed antenna’s far field and scattering characteristics (HFSS). The developed antenna may be readily integrated into modern communication devices such as smart phones, laptops, and other portable electronic equipment due to its small size and inexpensive cost. To verify the simulation findings, a model of the proposed antenna is created and monitored using PIN diode switches. The measured and anticipated results for the recommended reconfigurable antenna are satisfactory.

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