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Design and analysis of a compact dual-band printed rectenna circuit at WiFi and GSM frequencies for microwave power transmission

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AIP Conference Proceedings 2023年第1期2591卷

作者： Ahmed Abdul-Kadhem Salih Abdulkareem S. Abdullah 1Computer Technology Engineering Department College of Information Technology Unversity of Imam'Jafer AL-Sadiq Nassiriya Iraq 2Department of Electrical Engineering College of Engineering University of Basrah Basrah Iraq

In this paper, a dual-band printed rectenna of compact size (38×24) mm2 has been designed and analyzed to work at GSM frequency of 900 MHz and WiFi frequency of 2.4 GHz for wireless power transmission. The purpose of this design is to harvest energy at two different frequencies to increase the probability of receiving power from ambient field. The antenna part of this rectenna is printed on FR4 substrate and has the shape of meander line with two arms for double-band operation. The rectifier part of this rectenna consisted of impedance matching network, AC-to-DC conversion circuit and a DC filter. The design and simulation results of this rectenna have been done with the help of CST 2019 and ADS 2018 software packages. At a received input power of -30 dBm and a load resistance of 1900 Ω, the maximum conversion efficiencies obtained by this rectenna at frequencies of 900 MHz and 2.4 GHz are found as 23% and 42% respectively.

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Design solar thermal energy harvesting system

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AIP Conference Proceedings 2023年第1期2591卷

作者： Taha A. Taha Abadal-Salam T. Hussain Khawla A. Taha 1Computer Engineering Technology Department Alkitab University Altun Kupri Kirkuk Iraq 2Department of Medical Instrumentation Engineering Techniques Alkitab University Altun Kupri Kirkuk Iraq

This paper is to design a Solar Thermal Energy Harvesting System that can produce electricity from solar turbine. Solar energy was divided into two categories, thermal and photovoltaic. Thermal system operates using sun rays to drive a turbine. While photovoltaic system converts the photons in sunlight into electrical energy. Sunlight is a renewable energy and can produce electrical energy. In this paper, the main focus is the sun rays that reflected on the solar concentrator to heat a water and produce steam. The steam produce will turn a turbine and generate electricity. Concave mirror was selected because the focus to reflect sunlight is better than another light reflector. The parallel light rays from the sun become incident on the mirror and get reflected at focus. Thus, concave mirror was used to focus light to a point and used as a solar concentrator.

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Malnutrition detection in infants using machine learning approach

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AIP Conference Proceedings 2022年第1期2424卷

作者： Rakhi Wajgi Dipak Wajgi 1Department of Computer Technology YCCE Nagpur Maharashtra India 2Department of Computer Engineering STVPCET Nagpur Maharashtra India

Balanced nutrition is the main source of energy. It is necessary for healthy life of people. Healthy nutrients enable cells to perform their regular activities at pace. Deficiency of proper nutrition while birth causes various complications in further life. These complications include wasting, stunting, edema, mental illness, low immune system, ridged or spoon-shaped nails, brittle, dry hair, and underweight etc. Malnutrition is a condition that occurs when a person consumes a diet that is deficient in one or more major nutrients, or has too many of them. Marasmus, kwashiorkor and intermediate states of marasmus-kwashiorkor are included in the term Protein-Energy Malnutrition (PEM) disorders. PEM is the cause of underweight (low weight for age), stunting (low height for age), and wasting (low weight for height). In India, stunting affects 48% of infants under five years age, wasting affects 20%, and underweight affects 43%. Most children suffering from undernutrition in mild to moderate forms are unnoticed in India, which affects their growth at early ages. Detecting malnutrition at early stage reduces further healthcare cost and improve health outcome. To alleviate the problem of malnutrition, this paper describes a decision tree model for classification of infants being between the ages of 0 and 59 months as normal, acute malnourished or severely malnourished for three categories: Stunting, Wasting and Underweight. In decision tree model, Gini index is adopted as an impurity measure. The accuracy obtained using decision tree for stunting is 82.22%, for wasting 72.23 % and underweight 78.35% using Gini index.

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Detection of oral cancer lesions using hybrid classifier

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AIP Conference Proceedings 2023年第1期2591卷

作者： K. Karpagavadivu C. R. Rathish P. Sindhuja A. Kousalya 1Department of Computer Science Engineering Institute of Technology Coimbatore India 2Department of Computer Engineering New Horizon College of Engineering Bengaluru India 3Department of Computer Science Engineering United Institute of Technology Coimbatore India 4Department of Information Technology Sri Krishna College of Engineering and Technology Coimbatore India

Oral cancer is a main worldwide health problem accounting for 606,520 deaths in 2020, and it is most predominant in the middle-and low-income nations. Permitting computerization in identifying potentially malignant and malignant lesions in the oral cavity would possibly result in low-expense and early detection of the disease. The most important purpose of this research is to find the Oral Cancer Lesions affected region in the tongue images. The current work utilized the GVF algorithm to detect Oral Cancer Lesions using features involved in tongue images. This article offers a novel approach to merging bounding box annotations from different medical practitioners. Additionally, gradient vector flow was used to segment images, where the complicated patterns have been obtained for tackling this difficult task. Using the initial data gathered in this study, a hybrid classifier algorithm was assessed to detect Oral cancer lesions, and features like colour, texture and geometry were extracted. BioMed Chinese Medicine Repository collects the tongue images. Additionally, performances are described categorizing as per the kind of referral decision. Our initial findings establish support vector machine has the probability of challenging this stimulating task.

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An intelligent traffic management system adapting image processing techniques in comparison with wireless sensor monitoring

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AIP Conference Proceedings 2022年第1期2519卷

作者： K. Anitha J. Aswini R. Sabitha M. Nalini 1Department of Computer Science and Engineering Saveetha School of Engineering SIMATS Tamilnadu India 2Department of Computer Science and Engineering Sree Vidyanikethan Engineering College Tamilnadu India

Improving Economic growth of developing countries has promptedvarious vehicular movements in the town roads. Traffic management plays a huge part in regularizing vehicle movements and dodging blockings on roads. The pattern of traffic shall not be similar at all instants during the day and furthermore all the days. Huge traffics are constrained by traffic signals that allows and stops the vehicle movement for a pre-programmed time slots. This conventional method adopting the template have downsides. An intelligent electronic traffic controller can handle the traffic with sense consulting with the requirement at any instant of time. The paper briefs a Digital signal processor (controller) based smart traffic control system with the support of image processing techniques. The frameworkcapture the images from various roads meeting at a junction, recognizes the density of vehicles, analyzes between them, provide priorities, decides the dimensions of time slots for stop and permit and manages the traffic insightfully. Anextraordinarily mounted IR gadget on all the roads with the camera givesdata to the controller about vehicles proceeding onwardcrisis (such as ambulance) and deals with the traffic providing priority to such vehicles. The proposed framework was implemented on a proto mother board with TMS320 DSP processor, and the results are as expected, favorable and encouraging for implementing further developments.

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Automated ambulance detection system using image processing

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AIP Conference Proceedings 2022年第1期2464卷

作者： G. Manimala V. Kavitha P. Kavitha D. Madhumitha V. Pragathy 1Department of Computer Science & Engineering Sri Sairam Engineering College Chennai India 2Department of Computer Science & Engineering R M K Engineering College Chennai India

This paper highlights the importance of automated ambulance detection system. It suggests a methodology that makes use of the technologies such as embedded system and image processing. The vehicle detection system captures the images and movements of ambulance and passes the respective signals to the receiver in the Arduino board. Currently, traffic control has become an issue and to add on, the ambulance movements also results in adverse traffic mismanagement. Hence, we propose the detection and control system that mainly focuses in capturing the traces of ambulance and pass the appropriate signals to the embedded system used, that is the Arduino Board and the response is noted in the Emergency Signal Display Board. In addition to this, a display is kept at the traffic police polls to reveal the current status of signal. This can serve to control the violation of traffic rules while an ambulance is on move.

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Fishery marketplace mobile app using progressive web application for fishermen to support local products during the Covid-19 pandemic

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AIP Conference Proceedings 2023年第1期2772卷

作者： Dwi Ely Kurniawan Afdhol Dzikri Nanna Suryana Herman 1Department of Informatics Engineering Politeknik Negeri Batam Batam - INDONESIA 2Department of Multimedia and Network Engineering Politeknik Negeri Batam Batam - INDONESIA 3Department of Software Engineering University Malaysia of Computer Science & Engineering UNIMY Selangor - MALAYSIA

Since the Covid-19 pandemic, the growth of E-commerce in Indonesia has increased sharply. Due to the shift in human habits or activities from offline to online. However, the lack of facilities and infrastructure is a problem fisher face when they want to distribute their catch. This study develops an online marketplace to provide convenience for fishers in marketing their catch. This study aims to create a Customer to Customer (C2C) marketing system model with Progressive Web Application (PWA) technology. PWAs can develop applications in a fast, reliable, and attractive user experience. The product display uses the closest distance calculation based on the region category. Transactions are limited to using the COD system to adjust to the background of knowledge, trust, and customer convenience. The development research results show that the system can work well following the analysis of user needs.

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Literature survey on automatic bug triaging using machine learning techniques

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AIP Conference Proceedings 2022年第1期2555卷

作者： Deepshikha Chhabra Meena Malik Sachin Sharma 1Chandigarh University Gharuan Mohali Punjab India 2Department of Computer Science and Engineering Jaipur India

Amongst all the phases of software development life cycle software testing phase is the most crucial phase. in this phase the errors or bugs are reported by the tester. Any kind of unexpected behavior in the software is referred to bug. the same can be referred as error or flaw. As soon as the bug is reported by the software tester the next step is to fix the bug or we can say that assigning the bug to appropriate developer which is known as bug triaging. the companies spend large amount of costs in bug triaging process. The process of assigning the bug to appropriate developer is based on various factors like severity, priority and risk associated with the bug. The key idea behind the bug triaging process is to search the suitable developer who can fix the bug in short span of time. in this research paper we will address the factors which impact the performance of bug triaging process. in the later section the comparative analysis of various automatic bug triaging processes has been done.

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Kafka based LSTM model for streaming data prediction

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AIP Conference Proceedings 2022年第1期2444卷

作者： S. Geetha V. Kalaivani 1Department of Computer Applications Mepco Schlenk Engineering College Sivakasi Tamil Nadu India 2Department of Computer Science and Engineering National Engineering College Kovilpatti Tamil Nadu India

In the current technological world, the data is getting generated abundantly through various sources. The time dependent data generated through sensors is one among them. The most of the time dependent or time series data is streaming in real-time onfixed flow rates and sometimes, it will be on variation. When there is a change or no change in the flow of data, the existing state of the art prediction models provides low accuracy of prediction. Hence, it is proposed to have better accuracy of prediction on the streaming data with LSTM and Kafka Framework. The Kafka-LSTM model performed much better than the other conventional models. The models were evaluated using mean absolute error and root mean square error. The proposed method performs with better accuracy and reduced error rate than the other conventional models.

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A lag fewer way to render exam results

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AIP Conference Proceedings 2023年第1期2523卷

作者： L Dhanush J Geetha Priya P Ezhumalai Devatha Sameer Raghavenedra Dhanekula Mohana Gopi Krishna 1Zoho Corporation Private ltd. Tamil Nadu India 2Department of Computer Science and Engineering RMD Engineering College Kavaraipettai Tamil Nadu 60J206 India

Every semester after writing their Exams, students strive a lot to inspect their semester exam status. This application will help the students to observe their exam results in a lag-less way. The main advantages of this application are that the result page will open directly in the app itself, and an optimized web page loading approach is used to get your semester exam results. These web page optimization techniques include reducing the number of JavaScript and CSS files, using website caching, minimizing the use of web fonts and using perfecting techniques. There is a way to save your results in either PDF or any other image format so that you can share the results with others later. There is also a feature to calculate your GPA and CGPA for any semester, regulation and lateral students. Also, get live updates from Anna University on the current news. Finally, the application is also available in the Google Play Store with more than 10k downloads.

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