Volume 9 | Issue 5 |

 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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 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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 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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 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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 Keywords

E-Banking

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 Abstract

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 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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 Keywords

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

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

21st century is the generation of industrialization and corporate world, but polluted air and stress has become the two major points of distress. The solution can be seen in indoor landscaping or interior gardening, the solution is offered by horticultural studies. Indoor landscape or also known as softscape refers to the animate (living), precisely the flora of a particular area. Since ages gardens have played important role in human history. But gardening consumes a lot of time, human effort is needed, good water facilitation as well as a good fertile area of ground is the necessity. All this seems to be impossible due to the human population explosion seen in recent years. As density of people has increased over a given area proportionately the need of clean and fresh air has also increased. Concrete jungles have flourished ferociously and the desired as well as the needed air quality has declined resulting in stress, depression and multiple respiratory diseases. Horticulture sciences has come up with very sui generis idea of interior landscaping as a solution to all problems. Interior landscaping includes all the flora which can be grown and used to regulate all the adverse conditions for human survival. Plants not only help to the groom of interiors but also contribute to the psychological well being of humans. The goal is to create a synergetic environment for both plants and humans. In this review paper, establishment and benefits of indoor landscaping is discussed, the plants befitting interior landscape has been enlisted along with their use as per Indian subcontinent.

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 Keywords

: Interior scaping, indoor plants, water efficient indoor gardening, aesthetic value etc

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The COVID-19 pandemic has thrown ups and down every facet of our lives. Even before the inception of this crisis, the social and economic integration of youth was an ongoing challenge. Now, unless urgent action is taken, youth are likely to agonize severe and long-lasting impression from the pandemic. The pandemic has magnified this societal conundrum about whether social media is useful or harmful. This pandemic has forced us to shift our entertainment as well our social interaction resources. This research will be useful for people of all ages who aim to understand the benefits and drawbacks of media use during the COVID-19 pandemic.

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 Keywords

Binge watching, Covid-19, Youth, Screen time, Television Media

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 Abstract

Optimization in simplest terms optimization is choosing inputs that will result in the best possible outputs or making things the best that they can be. In the era from 2006 to 2009 peoples are looking to improve learning algorithms. At that time the best learning algorithm was gradient descent and the researchers are looking for a better learning algorithm than gradient descent. The researchers are looking for a better solution to the initialization problem in a neural network or some clear wait configuration. And that time they have sigmoid as a nonlinear activation function and they are searching for some better activation function. So they have started to invent new optimization techniques to improve all above parameters. Here in this paper we are comparing some latest Optimisation algorithms and made the conclusion that which algorithm is better in artificial intelligence e applications.

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 Keywords

:- Artificial Intelligence, Optimization Algorithms, Adam, Nestrov, Gradient Descent

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 Abstract

ABSTRACT: Irrigation is very important input of agriculture and most of the successful green revolution areas in India also concede with high irrigation intensity areas, since adequate and timely moisture supply is a sine-qua-non in the new agriculture its success is linked very closely with the development of irrigation. The problem of low agricultural productivity can be tackled by improving farm facility irrigational facilities. Differences in the provisions of irrigation facilities account for a substantial amount of variation in agricultural output between regions. If constant supply of water is ensured transformation and expansion of agriculture can take place. Without irrigation very little can be expected from extensive cultivation. Besides, irrigation helps greatly in raising the yield of land. In the foregoing analysis an evaluation of the aspects of irrigation in Yadgir district, has been made in detail in order to understand the role and impact of irrigation in the development of agriculture and its efficiency.

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 Keywords

Key words: Irrigation, Effect, Agriculture, Intensity of Irrigation

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Creative Commons Attribution 4.0 and The Open Definition