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 s...
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.
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 cause...
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.
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 an...
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.
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 p...
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.
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 cap...
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.
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 ...
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.
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 ...
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.
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 ...
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.
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 th...
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.
The main goal of Huygens subgridding (HSG) technique is to increase the computational efficiency by decreasing the memory usage and computational time. A high value (larger than ten) of subgridding ratio can be used. ...
The main goal of Huygens subgridding (HSG) technique is to increase the computational efficiency by decreasing the memory usage and computational time. A high value (larger than ten) of subgridding ratio can be used. However, the HSG method experiences the late-time instability. In this paper, an algorithm was proposed and implemented to overcome the stability problem. 2D frequency dependent (Debye model) simulations were conducted, and the results were analyzed and discussed. In the proposed method, it is discovered that the occurrence of late-time instability was delayed about four times the occurrence of instability in the conventional HSG method. Furthermore, two parameters play a vital role on the occurrence of late-time instability and the selection of their values determines the delay of instability.
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