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Lo-Ra based covid patient health detecting system

AIP Conference Proceedings 2023年第1期2523卷

作者： Darpan Majumder S. Mohan Kumar D. V. Ashoka A Shajin Naragunam 1Department of Information Science and Engineering New Horizon College of Engineering Research Centre Visvesvaraya Technological University (VTU) Bangalore Karnataka India. 2Department of Computer Science and Engineering Nagarjuna College of Engineering & Technology Bangalore Karnataka India. 3Department of Information Science and Engineering JSS Academy of Technical Education Bangalore Karnataka India. 4Faculty of Information and Computer Engineering Noorul Islam Centre for Higher Education Kanyakumari Tamil Nadu India.

Coronavirus is an authentic WHO-proclaimed pandemic disease. Qualified professionals and medical care organizations experienced significant conditions across the world. In addition, the governmental authority develops a significant technique to alleviate the disease, to lock the nations. In this article, we proposed the covid detection system among the people by using several sensors embedded in a device to detect the people's disease. This system uses the Lora module for communication for the doctor's unit. IoT-based health networks attempt to improve health services quality through real-time data collecting and analysis. However, there are significant disadvantages with standard IoT systems. For example, they cannot function efficiently in locations with poor or unstable Internet. The solution to the question of internet services is a feasible option with technology like LPWAN (Low Power Wider Network), such as full-scale order elements, viz. Lora. The monitoring system plays a crucial role in diagnostic procedures and treatment.

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Processing arabic font using cubic spline with periodic end conditions

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AIP Conference Proceedings 2022年第1期2386卷

作者： Salah J. Mohamed Auras K. Hameed Nibras W. Jawad 1Computer Science Department Al-Ma’moon University College Baghdad-Iraq 2Department of Computer Science College of Science for Women University of Baghdad Baghdad-Iraq 3Department of Computer Engineering Techniques Al-Ma’moon University College Baghdad-Iraq

The article constitutes the outlines capture of the digital Arabic character images which is appropriate for non-Roman (Arabic) fonts. The external boundaries of Arabic font character (ع) have been traced and boundaries of holes of a specific Arabic characters such as (و), the three interpolated curves of the Arabic character (ه). For (ك) character trace parent (ل) and their child (ء) and (..) in Arabic character ((ي) were outlined by the modification of Jacobs stopping criteria along with the tracing Moore-Neighbor algorithm. Moreover, a new algorithm has been presented using picewise cubic Hermite spline interpolation (PCHIP) to process the margins of characters and shapes. This algorithm is significant in computer graphics. Sample plots have been included to illustrate the power, effictiveness and flexiblility of this algorithm. Hermite spline algorithm is more suitable for few nodes on the outline of characters or shapes. The modified algorithm can be categorized in terms, types: capture a given set of data points.

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Land use and land cover classification using Landsat-8 multispectral remote sensing images and long short-term memory-recurrent neural network

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AIP Conference Proceedings 2022年第1期2452卷

作者： Vignesh T. Thyagharajan K. K. R. Beaulah Jeyavathana Prasanna Kumar R. 1Department of Computer Science and Engineering Koneru Lakshmaiah Education Foundation Vaddeswaram Andhra Pradesh India 2Department of Electronics and Communication Engineering R.M.D Engineering College Chennai India 3Department of Computer Science and Engineering Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Thandalam Chennai India 4Department of Computer Science and Engineering Amrita School of Engineering Amrita Vishwa Vidyapeetham Chennai India

Land use and land cover (LULC) classification are one of the important tasks to monitor the various land cover resources of the earth. In this research work, we have proposed a novel idea to classify the Landsat-8 multispectral remote sensing images. Machine learning and Deep learning algorithms play a very important tool to classify these multispectral images into various land cover classes such as cloud, water, forest, urban area, plantation, and cropland. In this paper, Long Short-Term Memory (LSTM) of Recurrent neural network (RNN) is used to achieve high-level classification accuracy and solve the memory problem issues which can be occurred at internal state. Our proposed work proved that; it resolved the gradient problem of recurrent neural networks. The Real-time experiment was conducted by Landsat-8 image and proposed work compared with traditional RNN and fuzzy c-means (FCM). The proposed method achieved 97.58% classification accuracy for the Landsat-8 image.

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Surface morphological and elemental analysis of thermally evaporated Cu2O: Ag thin films

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AIP Conference Proceedings 2023年第1期2475卷

作者： Alaa Nihad Tuama Khalid Haneen Abass Doaa Nihad Tuama Mohd Arif Bin Agam 1Department Of Physics Faculty Of Applied Sciences And Technology Universiti Tun Hussein OnnMalaysia 84600 Pagoh Johor Malaysia. 2Department Of Computer Technical Engineering College Of Technical Engineering The Islamic University 54001 Najaf Iraq. 3Department Of physics College Of Education For Pure Sciences University Of Babylon Hillah Iraq

Pure cuprous oxide (Cu2O) and doped with silver nanoparticles (Cu2O:Ag) thin films at an average thickness of (60±3) nm were fabricated using vacuum thermal evaporation technique at a deposition rate of 0.5 nm/s, then the deposited films were annealed at 573 K for 2.5 h. The regular surface morphology of the fabricated films was obtained using controlled thermal evaporation parameters. High-resolution FESEM images combined with the 3D AFM images demonstrated the surface morphology, roughness, shape, and size of the evaporated material. The surface morphological, elemental, and morphology analysis of the fabricated films of the deposited films exhibit the growth of pure and Ag-doped Cu2O films with large surface diffusion on the used substrates. The thermal evaporation process can proceed continuously under high vacuum ambient providing an economic and easy method to fabricate high purity Cu2O films. As-grown films surface exhibited a smooth morphology and occur with homogeneous clusters that are uniformly distributed with a grain size of about (18-24 nm). The As-grown film homogeneity was obtained by controlling the deposition at low-pressure circumstances (1×10−7 mbar). The observed morphological and topology properties could give rise to use of the fabricated pure and Ag-doped Cu2O films as active layers in solar cell devices and optoelectronic applications.

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Artificially developed intelligent system using Python

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AIP Conference Proceedings 2022年第1期2597卷

作者： Dilkeshwar Pandey Seema Maitrey Deepti Seth 1Department of Computer Science and Engineering KIET Group of Institutions Gzb U.P.(India) 2Department of Applied Science KIET Group of Institutions Gzb U.P.(India)

ADINA stands for ‘Artificially Developed Intelligent Assistant’ which is developed as an application software. The purpose is to fulfill the basic requirements of its users and based on the usage of the user to predict its behavior. The basic requirement of this user that this application covers include making web-based as well as Wikipedia searches, event scheduling of users (calendar and planner), exploring real time news headlines throughout the globe as well as exploring new places. We have developed our own artificial intelligence assistant ‘ADINA’ using python language. This paper provides what services a modern assistant can provide along with scalability to add more existing services and also incorporate the services of the future. It can also be used to incorporate and control ‘IOT’ applications as they majorly use Raspberry Pi processor which can be easily integrated.

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Stiffness ratio and the diffusion of fake news

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AIP Conference Proceedings 2022年第1期2425卷

作者： Raffaele D’Ambrosio Serena Mottola Beatrice Paternoster 1Department of Information Engineering and Computer Science and Mathematics University of L’Aquila Italy 2Department of Economic and Legal Studies University “Parthenope” of Naples Italy 3Department of Mathematics University of Salerno Italy

This paper emphasizes the role of the stiffness ratio that characterizes differential problems modeling the diffusion of fake news. In particular, we propose the employ of the stiffness ratio in order to understand how fast is the transit of fake news in a given population, providing a numerical evidence supporting our approach, based on real data.

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Precision irrigation monitoring system with real-time data

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AIP Conference Proceedings 2022年第1期2519卷

作者： P. Shanmuga Prabha K. Umapathy U. Kumaran 1Department of Computer Science and Engineering Saveetha School of Engineering Chennai Tamil Nadu India 2Department of Electronics and Communications Engineering Sri Chandrasekharendra Saraswathi Viswa Mahavidyalaya University (Deemed University) Kanchipuram Tamil Nadu India 3Department of Computer Science and Engineering Mother Theresa Institute of Engineering and Technology Palamaner Andhra Pradesh India

Agriculture is one of the leading sectors needed for a nation’s growth. In this industry, modernization is essential so that the quality and volume of the production are enhanced, particularly for developing countries such as India. Farmers even today follow the traditional techniques for doing cultivation. They are not able to get appropriate profits in fields because of water logging leading to excessive irrigation. The requirement of water varies from crop to crop and from soil to soil. This paper provides an optimum way for agricultural people where all activities are atomized, and the total yield can be improved substantially. This system includes various types of sensors to measure the required parameters. The concept of IOT can be implemented to achieve the objective in the agriculture sector, which leads to smart irrigation based upon real-time data. The smart devices at the remote places will control the activities integrated into many electronics devices, controllers, etc.

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Multi fractal features along with empirical wavelet transform for detecting glaucoma

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AIP Conference Proceedings 2022年第1期2483卷

作者： Hussam Y. Abdulwahed Arkan Jassim Mohammed 1Computer Engineering Techniques College of Information TechnologyImam Ja’afar Al-Sadiq University Iraq 2Department of Mathematics College of Science-Al-Mustansiriah University Iraq

The main objective of this paper is to look further into the prospect of retinal image analysis aiming for the detection and tracing of glaucoma. The computer-based component analysis entails the use of image processing techniques in order to pre-process, identify and segment the region of interest, feature extraction as well as classification from the data-set images. The structural deformation of the optic disc and cup parts, one of the primary signs of glaucoma, necessitates high specificity in the segmentation procedure. As a solution to this issue, multi-fractal features as a non-morphological aspect are obtained in the proposed method from the enhanced optic disc area. Furthermore, the extracted image is decomposed using the Empirical Wavelet Transform to acquire different bands sub images. Subsequently, multifractal features where extracted. The resultant features are classified using a variety of classifiers. Among (Least Squares Support Vector Machine, Naive Bayes, Logistic Regression classifiers) Least Square Support Vector Machine outperforms all classifiers in terms of output. The proposed method has been investigated using different data-sets which includes regular and glaucoma images. Using Least Squares Support Vector, this proposed approach achieves a sensitivity of 86.71 percent in classifying glaucoma images and total accuracy of 89.94 percent.

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Design of an IoT approach for security surveillance system for industrial process monitoring using Raspberry-Pi

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AIP Conference Proceedings 2022年第1期2519卷

作者： G. Manikandan D. Karunkuzhali D. Geetha V. Kavitha 1Department of Computer Science and Engineering Kings Engineering College Sriperumbudur Tamil Nadu India 2Department of Information Technology Panimalar Engineering College Chennai Tamil Nadu India 3Department of Information Science and Engineering BNM Institute of Technology Bengaluru Karnataka India 4Department of Computer Science and Engineering Sri Sairam Engineering College Chennai Tamil Nadu India

The Internet of Things (IoT) is a new development for several applications, including intelligent cities, physical security, intelligent grids, asset management and logistics, e-health, etc. Security issues now face industry for a day. The gas created by the machinery and stored asset concentrations are highly risky. Maintenance has become a major problem in maintaining the minimal rights and safety of clothing workers The technicians of clothing plants face labyrinths, and one of them is undoubtedly broken out of fire. Investors lose their right and the sector’s importance gets untouched. We have suggested in this study a system that can detect fires but provide a spot for the area impacted. For control combined with several sensors and camera, Raspberry Pi 3 is employed. In order to prevent false alert, we supplied validation of the fire suspected system. In addition to the image of the afflicted area and device, the service will next deliver a message. If the administration can confirm or reject the conviction, the system raises an alert quickly and a computerized message is sent to the local fire department if the admin is confirming that the issue breaks out.

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Intelligent decision support systems in integrated management systems – A novel multicriteria computational control system

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AIP Conference Proceedings 2023年第1期2558卷

作者： Askaraliyev Odilbek Ulug‘bek O‘g‘li Malikova Nodira Turg‘unovna Naim Nodira Abdujalilovna Shubham Sharma b Jasgurpreet Chohan Raman Kumar Sandeep Singh 1Computer Engineering Tashkent university of information technologies named after of Mukhammad al-Kwarizmi Tashkent Uzbekistan 2Department of Mechanical Engineering IK Gujral Punjab Technical University Jalandhar-Kapurthala Road Kapurthala 144603 Punjab India 3Department of Mechanical Engineering Chandigarh University Gharuan 140413 India 4Department of Civil Engineering Chandigarh University Gharuan 140413 India

The article discusses the construction of an intelligent decision-making system for solving multi-criteria decision-making problems in integrated control systems. The technology for choosing the optimal model and the corresponding method for solving a specific problem are proposed, as well as an integrated model for demonstrating the knowledge base. The issues of building a knowledge base and obtaining an optimal solution using production models are analyzed.

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