Volume 9 | Issue 5 |

 Abstract

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 Keywords

Graphology, Handwriting Analysis, Mental Health, Machine Learning, SVM classifier

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Creative Commons Attribution 4.0 and The Open Definition

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Load forecasts are very important for the smooth working in the field of electricity. It has various uses such as purchasing of energy and production, switching the load, base development, and for evaluating contacts. Energy planning and generation of power play an important role in this scenario. Their knowledge can be used in the development of smart grids. It is of three types: long-term, short-term, and medium-term. A study concerning the already existing approaches of short-term electricity forecasting shows that an example of an improved technique is still in need. In this article, the use of a neural network called long-short term memory has been explored considering tackling of load projecting accuracy issues. The result is analyzed and the steps that can be taken to get better results along with the future scope of the project are discussed. Factors affecting load forecasting accuracy are also discussed. Forecasting permits using energy storage systems to decrease the cost of energy for the consumer. Knowing future electricity consumption along with future electricity prices makes it possible to decide when to engage a battery storage system as opposed to drawing power from the grid. It creates a path for future research and development of high-efficiency algorithms for load forecasting. A comparison of the merits and demerits of various load prediction methods is also performed.

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 Keywords

LSTM, Load Predictions, Neural Networks, Short-Term Load Forecasting.

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Creative Commons Attribution 4.0 and The Open Definition

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Tannase enzyme producing fungal spores were isolated from spoiled bread. The extracellular fungal spores that producing maximum yield of enzyme was identified as Aspergillus niger. Enzyme production was studied under solid state fermentation using different rich tannin substrates like indian almond leaves (Terminalia catappa), amla leaves (Phyllanthus emblica), jamun leaves (Syzygium cumini) and tamarind leaves (Tamarindus indica). Compared to all of these substrates indian almond leaves were found to be the best substrate for enzyme production under solid state fermentation (SSF). The maximum production of tannase was found to be at 30? after 72hrs of incubation. The crude enzyme was separated by using the column chromatography from that fractions were analyzed that serine (0.2Rf) amino acid from indian almond leaves substrate using thin layer chromatography (TLC), and jamun leaves substrate has tannase enzyme functional groups using Fourier-transform infrared analysis (FTIR). Then the tannase enzyme was shows the higher inhibitory activity against the Pseudomonas sp., while applied on antibacterial activities.

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Creative Commons Attribution 4.0 and The Open Definition

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Tannase, Aspergillus niger, indian almond leaves, solid state fermentation, antimicrobial activities.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Communication through the web is turning out to be crucial nowadays. An online communication permits the clients to speak with others in a quick and advantageous manner. Considering this, the online communication application should be capable offer the writings or pictures or some other documents in a quicker manner with least postponement or with no deferral. Firebase is one of the stages which gives an ongoing information base and cloud administrations which permits the designer to make these applications effortlessly. Texting can be considered as a stage to maintain communication. Android gives better stage to create different applications for texting contrasted with different stages like iOS. The fundamental target of this paper is to introduce a product application for the starting of a continuous communication between administrators/clients. The framework created on android will empower the clients to speak with another clients through Chat messages with the assistance of web. The framework requires both the gadget to be associated through web. This application depends on Android with the backend given by google Firebase

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

communication; firebase; android; Chat messaging; real-time databases; group messaging

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Creative Commons Attribution 4.0 and The Open Definition

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Among all the rice production systems in India the major constraint is the weed competition. With their added costs of weed control, they account for yield losses equating to about more than half of total rice imports. In case of upland rice, the prevailing weed species are Cogon grass, Nut grass, Devil weed, Desert poinsettia and Striga the parasitic weed species. while the perennial weeds species include Nut grass, Red rice being annuals, Goose weed, Rice sedge, Barnyard millet, Grass like fimbry and African wild rice may cause serious losses in rice. Conventional practices followed in Indian weed management practices in rice based cropping systems are trash burning, hand hoeing, tilling of soil, weeding, applying herbicides, flooding with water, fallowing and crop rotation practices either used in particular or in combinations to control weeds. Indian farmers face a lot of problems due to shortage of labour, lack of awareness about weed management practices and lack of sufficient inputs and funds. Integrated and ecologically balanced approaches are suggested to minimise the cost of socio- economic and environmental factors to get benefits. Emphasis should be on local practices that are affordable and are easily adaptable by the farmers. One needs to focus on the biology of weeds, their ecology and analyse the results of various weed management approaches with respect to environmental influence on weeds. To bring in the issue of the diversity of rice-based cropping systems in India, there is a need to set priorities, information delivered considering local conditions. To achieve this there is a need for researchers and farmer participatory approaches like conservation tillage, rotation of crops, smothering crops and zero tillage.

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Integrated weed management, Cropping systems, Seed weed bank, Rice, Tillage

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

A greenhouse is a building with walls and a clear roof that is used to monitor climatic conditions. These structures are used to grow plants, fruits, and vegetables that require a particular amount of sunlight, temperature, humidity, and soil moisture. The Greenhouse Environment Monitoring and Controlling Project, which uses Bluetooth and Arduino to keep these conditions in the green house, is built to keep them there. Temperature, Humidity, and Light are detected by the four sensors used in the Bluetooth and Arduino-based Greenhouse Environment Monitoring and Control project. If the humidity value determined by the sensor exceeds the threshold value or the soil moisture in the greenhouse decreases, the micro controller can turn on the blower to reduce humidity and open the water outlet to increase moisture in the soil and soil moisture in the greenhouse.

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bluetooth module,turbidity sensor,DHT11 sensor.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Content-based image retrieval is a process framework that applies computer vision techniques for searching and managing large image collections more efficiently. With the growth of large digital image collections triggered by rapid advances in electronic storage capacity and computing power, there is a growing need for devices and computer systems to support efficient browsing, searching, and retrieval for image collections. We propose a RDH with triple DES block-based transformation algorithm to achieve the purpose of image content protection. More importantly, under the proposed image content protection framework, image retrieval and image convolution can also be performed directly on the content-protected images. As a consequence, not only secure image storage and communication are accomplished, but also the computation efforts can be fully distributed, thus making it a perfect match for nowadays popular cloud computing technology. Security analyses are conducted to prove that the proposed image encryption scheme offers certain degree of security in both statistical and computational aspects.

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Creative Commons Attribution 4.0 and The Open Definition

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DES block, JPEG Image & Testing

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Creative Commons Attribution 4.0 and The Open Definition

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The objective of this research paper is to build Covid-19 Detection system using machine Learning so it can reduce the efforts of radiologist can be faster and efficient to carry out final results.as we all know Covid-19 is a rapidly spreading viral disease that infects humans as well as animals are also infected because of this disease. Due to this deadly viral disease The regular life of peoples and the economy of a country are affected . Covid-19 is a normal spreading disease, and till now. These kind of patients are mostly infected from a lung infection after coming in touch with this disease and this has been shown by clinical study of COVID-19 one who infected.For diagnosing of lunge related problem Chest x-ray (i.e., radiography) and chest CT are a more effective imaging technique Still, a substantial chest x-ray is a lower cost process in comparison to chest CT. To provides useful analysis to study a large amount of chest x-ray images that can critically impact on screening of Covid-19 ,Deep learning is the most successful technique used. For covid-19 affected patients as well as healthy patients, for this work We have used the PA view of chest x-ray scans. By applying data after cleaning up the images augmentation, we have used deep learning based CNN models & compared their results. We have compared some Inception V3 and Xception, and ResNeXt models and examined their accuracy. To analyze the model performance, 120 chest x-ray scans samples have been collected from the Kaggle and github, out of which 5007 were used for training and 900 for validation purpose. In result analysis, the Xception model gives the highest accuracy 98% for detecting Chest X-rays images as compared to other models such as Darkcovid. This work only focuses on methods of classifying covid-19 infected patients and does not claim any medical accuracy

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 Keywords

Deep Learning , artificial intelligence ,Machine Learning , Neural Network, Covid-19 , CNN

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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

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Pedagogy, pedagogical practices and business studies teachers

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Creative Commons Attribution 4.0 and The Open Definition

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LIBRID is an Android application based on the Library Management system and uses RFID. The app is used to help students and the library to manage Library activities with this app. A good way to store, organize and manage countless books is to use this app where the app will have an account for each new book added, released or returned. You can get books instantly, borrow / return books quickly and manage all student data efficiently using this app and application. The purpose of the Android application for Library Management is to provide quick and accurate information about books and notes to the user and thus save a lot of time and effort.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Rfid, Library, Books, Android Application

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Creative Commons Attribution 4.0 and The Open Definition