Volume 9 | Issue 5 |

 Abstract

Agriculture have a vital role in our day nowadays life. currently the population has increased and it additionally increased the demand for food. therefore it's necessary to extend the production of crops. For higher production of crops the plants ought to be well grown and guarded from diseases. Manual identification of disease isn't potential for giant scale farmers all the time because it is time consuming and want a lot of labours for that. Diseases are often simply detected by applying machine learning. By applying machine learning technique we are able to establish the disease that's affected to the leaf, stem, root and fruits. pictures captured using mobile camera are processed with image processing technique. The features are extracted from the disease affected half and it can be classified by machine learning technique like Convolutional Neural Network(CNN). An application that may predict the disease affected to the plant and potential precautions to avoid the disease are developed.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Machine Learning, CNN, Image processing

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In the pandemic chiefly it is recommended to avoid visiting crowded places such as super markets, malls, etc. So we are preparing a system that is used to maintain social distance and contactless purchasing of the products in malls by making trolleys inside the malls, automated that is upgrading trolley smart trolley in the terms of TROLLIGENT, simply intelligent trolley so that once the list is passed to the trolley it will collect the products and deliver the amount to be paid by the customer. By doing this it will reduce purchasing time as standing in queue is avoided at times. The purpose of this system is to help the society efficiently by saving their time and their lives.

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 Keywords

Barcode reader, Smart Trolley, Line tracing Robot, Wi-Fi, Raspberry Pi.

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 Abstract

In this era of internet, e-commerce is growing by leaps and bounds keeping the growth of brick-and-mortar businesses in the dust. In many cases, brick-and-mortar businesses are resorting to having a counterpart which is internet or e-commerce driven. People in the developed world and a growing number of people in the developing world now use e-commerce websites on a daily basis to make their everyday purchases. To remain ahead in this race of digital revolution the e-commerce websites needs to understand the consumer behavior for better business. The paper discusses about the need for local vendors to boost to e-commerce platforms and increase their customer range. It also outlines different aspects of developing an e-commerce website for these vendors for making them digitally compatible with the growing market. The study goes ahead to consider the factors on which the behavior analysis of consumer is performed and need of the data privacy for an e-commerce application.

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 Keywords

Consumer Behavior, e-commerce, analysis, e-commerce analysis, privacy

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 Abstract

Transdermal drug delivery system (TDDS) is an integral part of advanced drug delivery systems. About 75% of drugs are taken orally and are found not to be as effective as desired. To improve such characters there is need to developed transdermal drug delivery system. This advancement in drug delivery offers many advantages over traditional methods. Uniform drug plasma concentration, improved bioavailability, Predetermined rate of drug release, reduction in toxic side effects, painless and easy application and simply removing the patch from the skin if any unwanted effects occur are some of the potential advantages of transdermal drug delivery. Transdermal drug delivery system (TDDS) are very effectively overcome the hepatic first pass metabolism and improve the steady plasma drug concentration. This article gives a brief overview over principles behind transdermal drug delivery, as well as the advantages and disadvantages of transdermal drug delivery systems and describes the factor affecting transdermal permeability of different types of transdermal patches, evaluation parameters.

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 Keywords

Transdermal patch, Permeation, Percutaneous absorption

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In modern time, vehicles are more in an automated manner to make the drivers more easy driving and relaxation. In the automobile industry there are various aspects that make a vehicle to an autonomous vehicle. This automatic vehicle is mainly focusing on using fewer resources and low cost to develop a highly efficient self-driving vehicle. It includes Artificial Intelligence (AI), Machine Learning (ML), and robotics. The system is based on an ARM-based low-power Low-cost CPU (P.C) which is mostly in mobile architecture. The vehicle is designed and built in such a way that it not only detects simple obstacles but also detects all kinds of kind of signs, and obstacles only with the help of a simple camera and an ARM PC. The vehicle performs all these by the Machine Learning algorithm in PC. Thus, a highly efficient automatic vehicle is built

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 Keywords

Autonomous vehicle, IoT, Robotics, Machine Learning.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Traffic sign detection is an important aspect of autonomous vehicles, this helps in avoiding accidents. In this project, a deep learning model is implemented with YOLO's (You Look Only Once) latest version YOLOv4. YOLO is one of the fastest object detection algorithms for real-time detection. In YOLOV4, CSPDarknet54 is used which acts as the backbone, this promotes the learning capability of CNN. We prepared two models, one that was trained on the GTSDB dataset and another on an independently made dataset consisting of 4 classes. We achieved a 92% mAP on the GTSDB dataset and 94.40% mAP on the CSST dataset.

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 Keywords

Traffic Sign Detection, YOLOv4, GTSDB, CNN, Machine learning, Darknet

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Flat-gain and wideband amplification of Erbium Doped Fiber Amplifier (EDFA) was demonstrated using a dual stage amplifier technique. The performance of dual stage EDF amplifiers was investigated at high input signal power (0 dBm) and low input signal power (-30 dBm) and then it is compared with single stage EDF amplifier by varying input signal power and length of gain medium. Compared to high input signal power both stages of amplifiers showed better performance at low input signal power (-30 dBm). Dual stage amplifier showed better amplification in comparison with single stage amplifier. The dual stage amplifier gave the highest gain from the gain medium length of 1 m and 10 m for EDF 1 and EDF 2 ,respectively, with the fixed pump power of 100 mW and the fixed gain medium length of 1.5 m for EDF 1 and 15 m for EDF 2 gave highest gain with the highest pump power of 700 mW. Through the dual stage amplifier technique, flat-gain and wideband amplification were significantly achieved.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Dual stage amplifier, EDFA, Flat-gain, Gain amplification

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Online banking , the wave of the future. it provides enormous benefits to consumers in terms of ease and cost of transaction, through internet, telephone or other electronic delivery. Many under-graduate students have bank accounts and they are conversant with the evolving technology associated with modern banking. As newer technologies are introduced every day, so do students adjust their lifestyles, values and even their spending habits to suite these emerging developments and newer needs. Generally, students have theoretical knowledge of e banking and different service in e banking but all students use this knowledge in practical way and so to find out proper findings that whether students really using e banking or not this research is necessary it is the research on Awareness of online banking service in graduate students.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

E-Banking

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

IoT, Raspberry Pi, Modular garbage collector.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In our nation, fruit recognition and its maturity monitoring is a difficult task due to the mass production of fruit products. In order to determine and evaluate the quality of the fruit accurately. The project presents, In real time with camera developing a sorting machine for classification of multiple fruits and checking the time they survive and evaluate the rank of the fruits based on its quality. Firstly, the algorithm bring out the RGB image values and the background of image was disengaged by the split-and-merge algorithm. Secondly, the extracted multiple features are namely its color, statistical, textural and geometrical feature. Geometrical features are used in the evaluation of quality of the fruits. Additionally four different classifiers k-nearest neighbour (k-NN), support vector machine(SVM), sparse representative classifier(SRC) and artificial neural network(ANN) are used to classify the fruits. The SVM classifier has seen to be more effective in quality evaluation. Using k-fold cross-validation techniques validates the system performance by considering different values of k. The classification is among Rank1, Rank2 and defected one. The system achieved maximum accuracy for fruit detection and classification.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Fruit quality, Defect detection, Geometrical feature, Textural feature, Statistical feature

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Creative Commons Attribution 4.0 and The Open Definition