-22b9b34417bc6092a7446ad 20220219060033546 beie:beie director@blueeyesintelligence.org WEB-FORM International Journal of Recent Technology and Engineering (IJRTE) IJRTE 22773878 10.35940/ijrte.2277-3878 https://www.ijrte.org/ 09 30 2020 9 3 Student, Department of Computer Engineering, Pimpri Chinchwad College of Engineering & Research, Pune, India. Shruti Bhavsar Sanjana Khairnar Student, Department of Computer Engineering, Pimpri Chinchwad College of Engineering & Research, Pune, India. Pauravi Nagarkar Student, Department of Computer Engineering, Pimpri Chinchwad College of Engineering & Research, Pune, India. Sonali Raina Student, Department of Computer Engineering, Pimpri Chinchwad College of Engineering & Research, Pune, India. Prof. Amol Dumbare Assistant Professor, Department of Computer Engineering, Pimpri Chinchwad College of Engineering & Research, Pune, India. In this paper we present the idea of extracting keywords from discussions, with the point of using these words to recuperate, for each small piece of conversation and generating reports to individuals. Regardless, even a smaller piece contains a blend of words, which can be effortlessly interrelated to a couple of subjects; additionally, using a customized talk affirmation (ASR) system presents slips among them. Thus it is hard to sum up effectively the data needs of the conversation individuals. We initially propose a count to kill significant words from the yield of an ASR system which makes usage of topic showing strategies and of a sub particular prize limit which supports varying characteristics in the word set, to organize the potential contrasting characteristics of subjects and diminish ASR disturbance. By then, we set forward a strategy to surmise different topically detached requests from this definitive word set, remembering the ultimate objective is to build the potential outcomes of making at any rate one appropriate proposition while using these inquiries to investigate the English Wikipedia. The readings depict that our pronouncement continue ahead over past procedures that watch simply word recurrence or idea commonality, and states the good response for a report recommended framework to be used as a piece of conversations. 09 30 2020 529 535 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.C4544.099320 https://www.ijrte.org/portfolio-item/C4544099320/ Post graduate in construction engineering and management, Annamalai university Tamil Nadu India. Gowtham Kishor Kumar B P. Palson Associate professor, civil and structural engineering, Annamalai university Tamil Nadu India. Cost overrun and delay are the most important factors which affect the rate of progress in construction industries. There are numerous Risks are involved in cost and schedule overrun which leads to unprofitable situation or dropping the project. Previous literature studies are mainly focused only on cost overrun and delay but they do not deal with their risks which is important to study. This study is to assess the factors influencing time and cost overruns on construction projects and their risks also. The objectives of the study were achieved through valid questionnaire. The questionnaires are collected over 40 construction companies. From this survey, identify and ranking the various elements which are responsible for the inflation of cost and schedule overrun using analytical software like SPSS. And discuss about the significant values obtained from the collecting data and recommendation and mitigation ideas from the ranking of overrun factors. The significant value should be more than 0.05 and from our analysis most of the factors are above that value. The study clarified that incorrect estimates and low productivity level of labors highly contributes to overrun in construction management. It will leads to unprofitable situation, so proper scheduling and better management will rectify these problems. 09 30 2020 439 443 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.C4549.099320 https://www.ijrte.org/portfolio-item/C4549099320/ Electrical and Electronics Engineering Department, Lakireddy BaliReddy College of Engineering, India. Divya Sathya Sree.I Pangedaiah.B Electrical and Electronics Engineering Department, Lakireddy BaliReddy College of Engineering, Andhra Pradesh India. Penetration of distributed generation (DG) is rapidly increasing but their main issue is islanding. Advanced signal processing methods needs a renewed focus in detecting islanding. The proposed scheme is based on Ensemble Empirical Mode Decomposition (EEMD) in which Gaussian white noise is added to original signal which solves the mode mixing problem of Empirical mode decomposition (EMD) and Hilbert transform is applied to obtained Intrinsic mode functions(IMF). The proposed method reliably and accurately detects disturbances at different events. 09 30 2020 461 466 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.C4556.099320 https://www.ijrte.org/portfolio-item/C4556099320/ postgraduate student at Chemical and Environmental Engineering Department, Faculty of Engineering, Universiti Putra Malaysia – Serdang, Malaysia. Asyraf Aiman Akbar Syafiie Syam Associate Professor at Chemical and Material Engineering Department, Faculty of Engineering, King AbdulAziz University – Rabigh, Kingdom of Saudi Arabia. Mohd Halim Shah Ismail Associate Professor Chemical and Environmental Engineering Department, Faculty of Engineering, Universiti Putra Malaysia – Serdang, Malaysia. There are many mobile applications for diabetes currently in the market which try to help people with diabetes better manage their condition. Common features are the ability to log in user meal intake, amount of carbohydrates, insulin, physical activity and etc. and present the data back to them in a more organize manner such as in charts so that they can learn their blood glucose trend. However, few are trying to simulate their blood glucose level which might help them understand better the effect of these input to their blood glucose. In this paper, a mobile application is presented which can predict the trend of glucose from the meal and insulin intake of diabetes patient. The application used a glucose-insulin dynamics mathematical model to simulate the changes of blood glucose level over time for the user. Data of a clinical patient was used as input to the developed application to study its performance. It was found out that the accuracy of the application made the application to not be 100% reliable as predictor of blood glucose but a good educational tool for diabetes patient as it can simulate the glucose response from carbohydrate and insulin intake. A more accurate and complex mathematical model needs to be use for future development as the current linear and relatively simple model may not be accurate enough for the application. 09 30 2020 476 480 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.C4569.099320 https://www.ijrte.org/portfolio-item/C4569099320/ Department of Electronics and Communication Engineering, NMAM Institute of Technology, Nitte, Karkala, Udupi, India. Veena Devi Shastrimath V. Ashwini Department of Electronics and Communication Engineering, NMAM Institute of Technology, Nitte, Karkala, Udupi, India. Andrea Olivero Department of Electronics and Communication Engineering, NMAM Institute of Technology, Nitte, Karkala, Udupi, India. Deepa Bhat Department of Electronics and Communication Engineering, NMAM Institute of Technology, Nitte, Karkala, Udupi , India. Nowadays booking tickets and getting inside a railway station is adifficult task. Manual checking becomes a burden and time consuming. Also as everything is getting digitized in this modern world introduce face recognition and Quick Response (QR) code system for entry helps in passenger convenience.Face recognition is a method of identifying or verifying the identity of an individual using their face. Face recognition systems can be used to identify people in photos, video, or in real-time.So this system focuses on passengers’ convenience through allowing them to book tickets online and by introducing face recognition system and QR code system for entry to a railway station.This system helps inidentifying people who try to travel without buying tickets and also helps toapprehend the blacklisted person which increases security in the railway station. Online booking is one of the convenient ways tobook the ticket. This system also provides the convenience to passenger by issuing the digital ticket in the form of QR code thus avoiding any fuss due to the loss of the physical ticket. 2020 444 448 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.C4570.099320 https://www.ijrte.org/portfolio-item/C4570099320/ Assistant Professor Dept. of ECE Institute of Aeronautical Engineering. Anusha Nellutla Gnana Sai Ganesh Chittajallu Dept. of ECE Institute of Aeronautical Engineering. Shaik Feroz Dept. of ECE Institute of Aeronautical Engineering. The intension of our project is to design a system which can identify the good leaves from the diseased ones. Image processing is a powerful tool capable of many applications. Image processing combined with Machine Vision can simulate and execute real time projects. In this project we have used LabVIEW along with IMAQ Vision to acquire real time images and process them. LabVIEW IMAQ Vision is potentially useful for agricultural products since it combines the merits of both LabVIEW and IMAQ Vision, which have graphical programming environment and rich image processing functions. The project aims to provide a brief introduction into the IMAQ vision components like Image Acquisition, Calibration, Defect detection. Major leaf diseases’ symptoms include spots or discolouration of leaves. The presence or absence of macro and micro nutrients, bug infestation and other diseases can be identified through leaves. In this project we have obtained the images through LabVIEW IMAQ vision pallet. Further on two procedures were followed – one based on colour of the leaves and other is based on spots and patterns present on the leaves. For the discolouration we first split the image into its constituent planes- RGB and CMYK, here we used Green, Cyan and Yellow planes. Then on we decided a threshold based on sample data using Linear Regression based prediction model of Machine Learning to classify the data into three states – safe, risk and high risk.The second method was detecting spots. First, we split the images into its constituent planes to convert the RGB image to Greyscale and increase the contrast using the Colour Plane Extraction tool then use the Look up table tool to further enhance the contrast. Then on locate the bright objects and then using dilation from the Morphology tool box we increase the size of the spots to increase detection rate. Using Advanced Morphology tool box we removed the boundary objects to isolate the spots. Then using the shape detection or circle detection algorithm we can detect the spots. Several samples were obtained and are successfully classified. Finally, current limitations and likely future development trends are discussed. Combining LabVIEW along with different programming algorithms can help in raising the accuracy of the system. 09 30 2020 481 492 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.C4574.099320 https://www.ijrte.org/portfolio-item/C4574099320/ Assistant Professor, Faculty of Computing and Software Engineering, AMIT, Arbaminch University, Ethiopia. Dr. J.R.Arunkumar kumar Dr. M.Sundar Rajan Associate Professor, Faculty of Electrical and Computer Engineering, Arba Minch University Ethiopia. Dr. Anusuya Ramasamy Assistant Professor, Faculty of Computing and Software Engineering, AMIT, Arbaminch University, Dr Bhupesh Kumar Singh Professor, Faculty of Computing and Software Engineering, AMIT, Arbaminch University, Ethiopia. Augmented Reality provides an interactive experience by imposing virtual objects over real world environment and used in different field in learning, entertainment, or edutainment by developing higher order cognitive and practical learning skills. With the infusion of digital technology, nowadays all the educational institutions adapted the online mode learning environment like smart classroom for content delivery, Webcast Lecture by using AR. AR attracts research attention for its ability to allow students to be immersed in realistic experiences. AR will allow learners too deep about real time and cognitive skill development experiences. Recent scenario in education and academic sectors needs emerging technologies for learning system. In that scenario AR technology will be used to create new type of self-learning and automated application in academic. This technology is used to enhance the teaching and learning for students in effective way and efficient too. Even this technology will attract the students to learn fast and improve the cognitive skill also. This is a new standard, merging features from ubiquitous computing, tangible computing, and social computing. The benefits of this proposed component include inspiring deep and thoughtful education, in real world problems and challenges can be refining the creative problem solving abilities while also as long as exposure/ new perception. This proposed research paper goals to improve present educational system using Augmented Reality. 09 30 2020 723 727 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.C4581.099320 https://www.ijrte.org/portfolio-item/C4581099320/