Determination of Various Diseases in Two Most Consumed Fruits using Artificial Neural Networks and Deep Learning Techniques

Fruit diseases are manifested by deformations during or after harvesting the components in the fruit, when the infestation is caused by spores, fungi, insects or other contaminants. In early agricultural practices, it is thought that non destructive examination is possible with the analysis of pre harvest fruit leaves and early diagnosis of the disease, while post harvest detection and classification of fruit disease is possible by evaluating simple image processing techniques. Diseases of rotten or stained fruits without destruction. In this way, the disease will be identified and classified and the awareness of the producer for the next harvest will be provided. For this purpose, studies were carried out with apple and quince fruit, images were determined using still fruit pictures and machine learning, and disease classification was provided with labels. Image processing techniques are a system that detects disease made to a real time camera and prints it on the screen. Within the scope of this study, the data set was created and images of 22 apples and 18 quinces were taken. The image was classified by similarities in the literature review. The success of the proposed Convolutional Neural Network architecture in recognizing the disease was evaluated. By comparing the trained network, AlexNet architecture, with the proposed architecture, it has been determined that the success of image recognition has increased with the proposed method. 

by Aysun Yilmaz Kizilboga | Atilla Ergüzen | Erdal Erdal "Determination of Various Diseases in Two Most Consumed Fruits using Artificial Neural Networks and Deep Learning Techniques" 

Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-1 , December 2020, 

URL: https://www.ijtsrd.com/papers/ijtsrd38128.pdf

Paper URL : https://www.ijtsrd.com/engineering/computer-engineering/38128/determination-of-various-diseases-in-two-most-consumed-fruits-using-artificial-neural-networks-and-deep-learning-techniques/aysun-yilmaz-kizilboga

ugcjournallist, listofugcapprovedjournals, researchpublication

Experimental Investigation of Strength Comparison of Various Percentages of Sawdust Added Clay Bricks

Now days the use of clay bricks in building construction is widely used. Such a time clay bricks to be used in better option of building construction as examining compared to the conventional clay bricks which is made by only on clay bricks in a cost view of point and better suitability. India is a developing country so here the construction of compound walls and building plays an important role. Nowadays most of the work related with building is done. Thus the clay bricks is light weighted and then to be used another option of prefabricated compound wall construction. This experimental investigation design bricks by using Indian standard code of dimension 230mm x 110mm x 75mm. In this project main mix design proportions is 2 , 3 , 6 and 9 of sawdust with jaggery water mixer. Ultimate aim of this study is to increase the compressive strength and weight to be reduction of clay bricks and to reduce the waste materials available in saw mills and timber industries. Then the water absorption to be noted and examine strength comparison in the specimen tests. 

by Dr. S. S. Syed Enayathali | Dr. V. Sathish Kumar "Experimental Investigation of Strength Comparison of Various Percentages of Sawdust Added Clay Bricks" 

Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-1 , December 2020, 

URL: https://www.ijtsrd.com/papers/ijtsrd38198.pdf

Paper URL : https://www.ijtsrd.com/engineering/civil-engineering/38198/experimental-investigation-of-strength-comparison-of-various-percentages-of-sawdust-added-clay-bricks/dr-s-s-syed-enayathali

openaccessjournalofengineering, engineeringjournal, paperpublicationforengineering

Using Mask R CNN to Isolate PV Panels from Background Object in Images

Identifying foreground objects in an image is one of the most common operations used in image processing. In this work, Mask R CNN algorithm is used to identify solar photovoltaic PV panels in aerial images and create a mask that can be used to remove the background from the images. This allows processing the PV panels separately. Using ML to solve this problem can generate more accurate results in comparison to more traditional image processing techniques like using edge detection or Gaussian filtering especially in images where the view might not be easily separable from the objects of interest. The trained model was found to be successful in detecting the PV panels and selecting the pixels that belong to them while ignoring the background pixels. This kind of work can be useful in collecting information about PV installation present in aerial or satellite imagery, or in analyzing the health and integrity of PV modules in large scale installations e.g., in a solar power plant. The results show that this method is effective with a high potential for improved results if the model is trained using larger and more diverse datasets. 

by Muhammet Sait | Atilla Erguzen | Erdal Erdal "Using Mask R-CNN to Isolate PV Panels from Background Object in Images" 

Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-1 , December 2020, 

URL: https://www.ijtsrd.com/papers/ijtsrd38173.pdf

Paper URL : https://www.ijtsrd.com/engineering/computer-engineering/38173/using-mask-rcnn-to-isolate-pv-panels-from-background-object-in-images/muhammet-sait

internationaljournalsofcomputerscience, callforpapercomputerscience, ugcapprovedjournalsforcomputerscience 

A Study of EEG Based MI BCI for Imaginary Vowels and Words

Some people may have congenital or acquired biological or physical disabilities. For individuals in this situation, some positive developments are experienced with the advancement of technology. One of these developments can be considered today as BCI Brain Computer Interface .BCI systems can be divided into invasive and non invasive. Different techniques are used to obtain brain activities in non invasive BCI systems. Some of these techniques are EEG, ECoG, fNIRS, MEG, PET, MRI. Among these techniques, EEG and fNIRS are often preferred because of their easy applicability compared to other techniques. In this study, EEG based motor imagery BCI system is used. In this study, an experimental BCI system has been developed in which Turkish vowels that individuals say imaginatively are perceived over the EEG signal. In the methods section of this article, information is given about the experimental environment and techniques used in the study. The results obtained with the designed system are included in the results section. In the conclusion part, a general evaluation of the study is made and improvements that can be made to improve it are emphasized.

 

by Kadir Haltas | Atilla Ergüzen | Erdal Erdal "A Study of EEG Based MI-BCI for Imaginary Vowels and Words" 

Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-1 , December 2020, 

URL: https://www.ijtsrd.com/papers/ijtsrd38165.pdf

Paper URL : https://www.ijtsrd.com/engineering/computer-engineering/38165/a-study-of-eeg-based-mibci-for-imaginary-vowels-and-words/kadir-haltas

callforpaperlifesciences, lifesciencesjournal, researchpapers

Review Paper on 802.11ax Scheduling and Resource Allocation

Nowadays a fast remote Internet association is a need as opposed to a luxury. IEEE 802.11ax could be a revolution to present an improvement over this age of 802.11. 802.11ax has been accepted to convey next generation Wireless Local Area Network WLAN techniques. 802.11ax using multiple techniques as using modulation 1024 Quadrature Amplitude Modulation QAM , Orthogonal Frequency Division Multiple Access OFDMA , robust high efficiency signaling for better operation at a significantly lower Received Signal Strength Indication RSSI , Target Wakeup Time TWT where the station can request to wake up at any time in the future and more. 802.11ax achieves multiple benefits as enabling a more than 35 speed burst, reduce overhead and latency, and more. This paper gives a review of the IEEE 802.11ax resource allocation scheduling in both 1 Downlink DL data transfer 2 Uplink UL data transfer. 

by Ibrahim Masri | Erdal Erdal | Atilla Ergüzen "Review Paper on 802.11ax Scheduling and Resource Allocation" 

Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-1 , December 2020, 

URL: https://www.ijtsrd.com/papers/ijtsrd38162.pdf

Paper URL : https://www.ijtsrd.com/engineering/computer-engineering/38162/review-paper-on-80211ax-scheduling-and-resource-allocation/ibrahim-masri

callforpapermedicalscience, medicalsciencejournal, manuscriptsubmission 

Tweedle with Fun An Educational Tool

With the development in technology, social networking sites are booming day by day which results that students are wasting their precious time scrolling up and down the pages in these social sites. Several types of research have been done to take care of this issue by creating applications for students in which they can post their inquiries and individuals solve them. This method of study demonstrated effectiveness for the understudies. Information was integrated through a narrative approach. This is the primary paper to methodically survey the literature on the utilization of web based media like Twitter in students training. So after doing all these researches we decided to write a review on this topic by adding some points and benefits of our application “Tweedle” . It is an android application build in such a way that a student follows their friends, teachers, scholars, graduates, and post graduates. It is somehow working as Twitter. As we know different people are having different opinions so everyone quotes different examples and different ways to make the students understand. With this sort of examining student will have the option to unmistakably comprehend the issue since he will get the arrangements in different ways Even this is also an interesting way of learning because a student will be eager to know the different answers to his problem. By using this application students use social media by not wasting the time.

 

by Pavandeep Kaur | Aliza | Pinky | Nikshep Chatta "Tweedle with Fun: An Educational Tool" 

Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-1 , December 2020, 

URL: https://www.ijtsrd.com/papers/ijtsrd38153.pdf

Paper URL : https://www.ijtsrd.com/engineering/computer-engineering/38153/tweedle-with-fun-an-educational-tool/pavandeep-kaur

callforpapertechnology, technologyjournal

Review on Micro Electro Mechanical Systems

MEMS acronym for Micro Electro Mechanical System is one of the booming technology that has paved its way in current engineering and technology. This paper includes the explanation of simple MEMS system and its applications. 

by Raghunandan M S | Shiva Prasad S | Sanjay S C "Review on Micro Electro Mechanical Systems" 

Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-1 , December 2020, 

URL: https://www.ijtsrd.com/papers/ijtsrd38119.pdf

Paper URL : https://www.ijtsrd.com/engineering/mechanical-engineering/38119/review-on-micro-electro-mechanical-systems/raghunandan-m-s

callforpapersocialscience, ugcapprovedjournalsforsocialscience, socialsciencejournal