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2. Significant Study of Data Encryption and Steganography

Author

K. G. Kharade, S. K. Kharade, B. P. Patil, and R. K. Kamat

Subjects
Steganography, business.industry, Computer science, Data security, Cloud computing, Cryptography, Encryption, Computer security, computer.software_genre, Information protection policy, The Internet, business, computer, Hacker
Abstract

Nowadays, the use of the internet is overgrowing throughout the world, which makes security a major concern for users. Data is any information that is stored on a digital platform. Security is about the protection of data. Data security means digital protective measures which are applied to prevent data from hackers. Data encryption is one of the security measures which is used on data. If somehow anyone steals the data, he could not access the data if data is already encrypted. Data Encryption algorithms are developed in computer science to secure the data of senders and receivers. The security of communication is a crucial issue on the internet. Various encryption algorithms depend on data such as text, voice, picture, video, etc. In daily life, security has become a wide necessity. Information protection is perhaps the most important of all. The data is open to high potential risks in our framework. We adopt diverse methods for various security reasons. Now we are all relying on the security and storage cloud platform but also vulnerable to multiple threats. The data in the cloud is not well-secured because anyone who can enter our credentials can access it, and cloud providers do have fair access to us. This paper discusses various data encryption techniques and much more.

Published
2021

3. Text Summarization of an Article Extracted from Wikipedia Using NLTK Library

Author

K. G. Kharade, Vijay R. Sonawane, Nanasaheb S. Patil, T. S. Pawar, S. V. Katkar, S. K. Kharade, and R. K. Kamat

Subjects
Information retrieval, Computer science, business.industry, Python (programming language), Automatic summarization, Set (abstract data type), The Internet, Semantic representation, business, computer, Relevant information, Abstraction (linguistics), computer.programming_language, Meaning (linguistics)
Abstract

Internet is an excellent source of information, where you can get information on all the topics. But due to the large availability of content, it becomes a challenging job to extract exact information. A text summarization system’s main objective is defining and presentingthe most relevant information from the given text to the end-users. Nowadays, the data is available in a considerable quantity. It becomes difficult for the user to deal with exact information. It’s not possible to read all the information and make a conclusion for specific data. With text summarization, a significantcontent of data is converted into a short set of information. If we talk specifically about Wikipedia’s information, almost all the areas areopen on this website. If we search for a specific keyword, it will provide huge details. Text summarization will convey the same extensive information by converting it into small pieces without losing its message. We have taken data from Wikipedia and applied summarization techniques to reduce the content without changing its meaning for demonstrating the concept during this research. Abstractive methods generate an internal semantic representation of the original content. For several years, text summarization has been an active area of study. By summarizing parts of the source document, abstraction can transform the removed content to condense at more strongly than extraction.

Published
2021

4. Predictive Modeling of Tandem Silicon Solar Cell for Calculating Efficiency

Author

Vijay R. Sonawane, S. K. Kharade, S. V. Katkar, K. G. Kharade, Nanasaheb S. Patil, and R. K. Kamat

Subjects
education.field_of_study, Artificial neural network, Computer science, Population, Energy storage, Manufacturing cost, Power (physics), law.invention, law, Solar cell, Electronic engineering, education, Energy (signal processing), Voltage
Abstract

With the increase in the population of the world, there is an increase in energy requirements. We are making maximum use of a conventional source of energy, i.e., Sun. But even after, there is a considerable loss of power due to the limited capability of energy storage devices and the little energy conversion devices. In this paper, we have focused on energy conversion devices, namely solar cells. We have considered the most popular solar cell called Tandem Silicon Solar cell out of various solar cells. Tandem Silicon is a second-generation solar cell and it has a lower manufacturing cost. We have developed a predictive model using Artificial Neural Network by integrating the Matrix Laboratory (MATLAB) tool. Each model consists of several predictors or variables. Therefore, by collecting the data for relevant variables, a statistical model can be developed. By selecting the right metrics, the output of a predictive model is measured and compared. In this investigation, we have used an artificial neural network for modeling the properties of Tandem Silicon solar cells. For training the neural network, we have used three input parameters and one output parameter. Short circuit current, open-circuit voltage, Fill Factor is considered input of the neural network, and efficiency is regarded as the neural network’s output. ANN is the optimal technology for modeling the solar cell.

Published
2021

5. Recent Developments in Engineering Research Vol. 10

Author

Yagya Dutta Dwivedi, Arquímedes Cruz López, Kamalesh Kumar, Houneida Sakly, Carmen Moldovan, Jerrine Joseph, Cláudio Torres, Nicoleta Apostol, Cristina Maria Vladut, K. G. Kharade, V Priya, Mariuca Gartner, Eduardo Antonio Rossello, Javier Eugenio Bermúdez-Cerda, Indupriya Rajasekaran, Mourad Said, Lilia E. Arriaga-Díaz de León, Irina Atkinson, Silviu Preda, Susana Mihaiu, Mihai Anastasescu, António Marques, H. Stroescu, José A. O. Simões, Moncef Tagina, Rajasekaran Ekambaram, Maria Zaharescu, S. K. Kharade, R. Thirumalai, José María Calderόn-Moreno, M. C. Sampath Kumar, A. Annadurai, Raquel Salomé Oliveira, Manikkam Radhakrishnan, Ecaterina Tenea, R. S. Suglo, Venugopal Gopikrishnan, Samuel Akwasi Frimpong, Angamuthu Vignesh, C. Elakkiah, S. Suresh Babu, T. Srinivas Reddy, Kaari Manigundan, S. Gobinath, O. F. Brown, V. S. Kumbhar, Gada Vivek, Juan Manuel Rodríguez-Martínez, and R. K. Kamat

Subjects
Engineering, business.industry, Engineering ethics, Engineering research, business
Published
2020

6. Recent Advances in Science and Technology Research Vol. 4

Author

K. O. Oluoti, M. L. Jabit, Yasser Mansour, K. M. Safidin, R. K. Kamat, R. S. Kamath, Manel Monteiro, A. B. Adams, Duduyemi Oladejo, Tsisana Gavasheli, F. Che Ros, S. K. Kharade, K. A. Adedeji, M. B. Ahmad, Xi Chen, Keat Khim Ong, T. O. Gegechkori, Wenfeng Wang, A. A. Ilesanmi, A. T. Ahmad Farhan, Wan Md Zin Wan Yunus, Brij Bhushan Tewari, Grigor Mamniashvili, V.D. Svet, Uday S. Wankhede, Magued F. Iscandar, Abdul Ghapor Hussin, C. B. Obasoro, Sherif Abdelmohsen, K. S. Chaudhari, K. G. Kharade, G. Agyei, Okunzuwa Mark, Zurab Shermadini, O. A. Oyinloye, Zhi Pu, U. F. Abdul Rauf, Ahmad Mujahid Ahmad Zaidi, R. S. Shelke, P. V. Walke, Donald Sandilands, Nanse M. Yassa, and Anwar Fitrianto

Subjects
Engineering, business.industry, Engineering ethics, business, Science, technology and society
Published
2020

7. Theory and Practice of Mathematics and Computer Science Vol. 1

Author

Kavita S. Oza, Ruffin-Benot M. Ngoie, Berthold Ulungu, Gul Shaira Banu Jahangeer, Moussoda Toure, Soheir Belaloui, T. Dhiliphan Rajkumar, Manish Kumar Mishra, Cherif Mamadou Moctar Traoré, R. K. Kamat, Barchand Chanam, Besma Bennour, Gane Samb Lo, Harouna Sangaré, V. S. Kumbhar, Aladji Babacar Niang, S. K. Kharade, Lois Chinwendu Okereke, N. K. Sajeevkumar, and K. G. Kharade

Subjects
Computer science, Mathematics education, Mathematics
Published
2020

8. Recent Studies in Mathematics and Computer Science Vol. 4

Author

Yamin Lou, Barchand Chanam, Susan Konyeha, Mohamed El Aallaoui, Dennis Spellman, S. K. Kharade, K. G. Kharade, S. V. Katkar, Yong Luo, P. Anuradha Kameswari, Gerhard Rosenberger, Shizhao Wang, L. Jyotsna, M. N. Moskal'kov, Anthony Gaglione, Benjamin Fine, S. Nagesh, Dauletbay Utebaev, R. K. Kamat, and Daniel Imanah

Subjects
Computer science, Mathematics education, Mathematics
Published
2020

9. Recent Studies in Mathematics and Computer Science Vol. 3

Author

R. K. Kamat, R. Sumitra, V. Sumalatha, G. A. L. Satyavathi, V. Rhymend Uthariaraj, Juhani Riihentaus, Márcia Gonçalves de Oliveira, N. V. S. R. C. Murty Gamini, N. K. Sajeevkumar, R. Hemavathy, Anamika Sarma, Seema Sharma, Howard Roatti, Manohar Dingari, Roshan Lal, A. V. Paparao, K. G. Kharade, D. Mallikarjuna Reddy, S. V. Katkar, Alexander M. Formalskii, Francisco Casanova-del-Angel, Oleksiy Dovgoshey, K. Sobhan Babu, Kiran Bala, S. K. Kharade, Elias de Oliveira, Nilakshi Goswami, Shivani Srivastava, Deepak Srivastava, and Nirmal Srivastava

Subjects
Computer science, Mathematics education, Mathematics
Published
2020

10. Recent Advances in Science and Technology Research Vol. 3

Author

Rakshita Gautam, Charlie Obimbo, Yukihiko Kinoshita, Emmanuel Nanéma, S. K. Kharade, R. K. Kamat, Arghirescu Marius, Samuel Y. Gazuwa, K. G. Kharade, G.A. Ubom, Naoto Furusawa, J. M. Kimani, Amit Chauhan, P. Tongoona, J. Derera, Hatsuhiko Maeda, V. Jayanthi, S. V. Katkar, J. P. Sarrette, A. Ricard, Benjamin Ferriman, S. Subbulakshmi, T. Devi Kamatchi, J.D. Dabak, and Arindam Kushagra

Subjects
chemistry.chemical_compound, Materials science, Silicone, Silicon, chemistry, Torr, Analytical chemistry, chemistry.chemical_element, Tube (fluid conveyance), Plasma, Spectroscopy, Microwave, Volumetric flow rate
Abstract

Transmission rates (T N) of N-atoms through small diameters tubes (1.5 and 3 mm int dia and 9, 50 and 80 cm length for silicone tubes, 1.5 mm int dia and 6.5 cm length for stainless steel tubes) are measured in late N 2 and Ar-N 2 flowing after glows of microwave plasmas in continuous and pulsed gas injection modes at a flow rate of 1 and 3 slpm, a gas pressure from 2 to 4 Torr for N 2 and 20 Torr for Ar-1%N 2 and a plasma power varying from 150 to 300 Watt. From the experimental T N values, it is deduced the γ-destruction probability inside the tube walls as being γ = (1.0-1.6)10-3 for the silicon tubes and γ = (1.6-2.0) 10-2 for the stainless steel tubes.

Published
2020

11. Recent Developments in Engineering Research Vol. 1

Author

Kamalesh Kumar, Gada Vivek, K. G. Kharade, S. K. Kharade, V. S. Kumbhar, R. K. Kamat, Raquel Salomé Oliveira, António Torres Marques, José Simões, Cláudio Torres, A. Annadurai, C. Elakkiah, V. Gopikrishnan, A. Vignesh, K. Manigundan, M. Radhakrishnan, Jerrine Joseph, Raymond S. Suglo, Samuel Frimpong, Osei Frimpong Brown, Maria Zaharescu, Susana Mihaiu, Cristina Maria Vladut, Ecaterina Tenea, Silviu Preda, José María Calderόn-Moreno, Mihai Anastasescu, Hermine Stroescu, Irina Atkinson, Nicoleta Apostol, Carmen Moldovan, Mariuca Gartner, R. Thirumalai, S. Gobinath, S. Suresh Babu, Yagya Dutta Dwivedi, Houneida Sakly, Mourad Said, Moncef Tagina, Rajasekaran Ekambaram, Indupriya Rajasekaran, T. Srinivas Reddy, Juan M. Rodríguez-Martínez, Eduardo A. Rossello, Arquímedes Cruz López, Lilia E. Arriaga-Díaz de León, Javier Eugenio Bermúdez-Cerda, Priya V., and M. C. Sampath Kumar

Published
2020

12. Emerging Trends in Engineering Research and Technology Vol.1

Author

Jayshri S. Kulkarni, Swapnita Dhabre, Sami Gören, B. Hossain, N. Kamrul, B. Biswas, Noah Pierre Marcel Anicet, Xianhai Hu, Xingyuan Zhang, Jin Liu, S. K. Kharade, K. G. Kharade, S. V. Katkar, R. K. Kamat, E. Foadieng, P. K. Talla, G. N. Kamgang, M. Fogue, P. Gopal, T. Senthilkumar, G. Naga Malleshwara Rao, K. Hema Chandra Reddy, K. N. Apinaya Prethi, M. Sangeetha, S. Nithya, Vladimir Saveljev, A. Jabeena, M. Jasmine Pemeena Priyadarsini, and C. Mohamed Yousuff

Published
2020

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