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• Open Access   Article

  Automatic Smart Irrigation System Using IOT

  C. Premalatha

  Research Paper | Isroset-Journal (IJSRCSE)

  Vol.7 , Issue.1 , pp.1-5, Feb-2019

  CrossRef-DOI:   https://doi.org/10.26438/ijsrcse/v7i1.15

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  India’s population has reached beyond 1.2 billion and the population rate is increasing day by day, so after 25-30 years there will be serious problem of food, such that the development of agriculture is necessary. Today, farmers incur the problem of water scarcity due to lack of rain. The main objective of this project is to provide an automatic irrigation system that saves time, money of the farmer. The traditional farm land irrigation techniques require manual intervention. With the automated technology of irrigation, the human intervention can be minimized. Whenever there is a change in humidity of the soil, the sensor senses the humidity change and irrigates the field automatically using a popular technology called the ‘Internet of Things’. The project makes use of simple IoT technology and is economic making it feasible even in economically backward areas.

  Key-Words / Index Term
  Automatic irrigation, Sensor and IoT

  References
  [1]Danish Inamdar, Vishal Raut, Akash Patil, Nayan Patil(2016), ‘Smart Drip Irrigation System’, International Research Journal of Engineering and Technology (IRJET) Volume- 03, Issue- 02, pp 100-103
  [2]Lakshmiprasad C N , Aashish R , Syed Muzaffar J(2014),’Smart Irrigation in Agriculture’,IOSR Journal of Electrical and Electronics Engineering (IOSR-JEEE) Volume- 09, Issue- 06, pp 34-40
  [3] S. Darshna, T. Sangavi, Sheena Mohan, A. Soundharya, Sukanya Desikan (2015)’,Smart Irrigation’,IOSR Journal of Electronics and Communication Engineering (IOSR-JECE) Volume- 10, Issue- 03, pp 32-36
  [4] Shwetha (2016),’Automated Irrigation System using wireless sensor networks’,International Research Journal of Engineering and Technology (IRJET) Volume- 03, Issue- 4, pp 1586-1588
  

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  C. Premalatha, "Automatic Smart Irrigation System Using IOT," International Journal of Scientific Research in Computer Science and Engineering, Vol.7, Issue.1, pp.1-5, 2019

• Open Access   Article

  Data Security In Cloud Computing Using RC6 Encryption and Steganography Algorithms

  Sirisha Aguru, Batteri MadhavaRao

  Research Paper | Isroset-Journal (IJSRCSE)

  Vol.7 , Issue.1 , pp.6-9, Feb-2019

  CrossRef-DOI:   https://doi.org/10.26438/ijsrcse/v7i1.69

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  Cloud computing is one of the emerging technologies. The cloud environment is a large open distributed system. Cloud Computing provides various services to the customers with price as pay for use such services are Infrastructure as a service (IaaS), Platform as a service (PaaS), software as a service (SaaS) and Data base as service (DaaS) like so many services. And all these services provide various benefits to its customers, but there are still some challengs. One among them is to protect the data, as well as, privacy of users. The data saved at remote servers is under the control and oservation of unknown people who can do anything with our data, thus there are some Security risks. So, these data security risks are causing a hindrance in the development of the field of cloud computing. This paper has designed a scheme that can help, solve this Security issue. This paper proposes an improved way in guaranting information security by utilizing RC6 algorithm and Steganography algorithms.

  Key-Words / Index Term
  Cloud Computing, Data Security, Encryption, RC6 Encryption , Steganography

  References
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  [3] C. Cachin, I. Keidar, and A. Shraer, “Trusting the cloud,” SIGACT News, vol. 40, no. 2, pp. 81–86, 2009.
  [4] Diogo A. B. Fernandes, Liliana F. B. Soares, Joo V.Gomes, Mrio M. Freire, Pedro R. M. Incio, Security issues in cloud environments: a survey, International Journal of Information Security, doi:10.1007/s10207-013-208-7 (2013) 1 - 58.
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  Sirisha Aguru, Batteri MadhavaRao, "Data Security In Cloud Computing Using RC6 Encryption and Steganography Algorithms," International Journal of Scientific Research in Computer Science and Engineering, Vol.7, Issue.1, pp.6-9, 2019

• Open Access   Article

  Information Security: Cyber Security Challenges

  Suman Sharma, Yogesh Verma, Amit Nadda

  Survey Paper | Isroset-Journal (IJSRCSE)

  Vol.7 , Issue.1 , pp.10-15, Feb-2019

  CrossRef-DOI:   https://doi.org/10.26438/ijsrcse/v7i1.1015

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  The term cyber security is often used interchangeably with the term information security. This paper argues that, although there is a substantial overlap between cyber security and information security, these two concepts are not totally analogous. Moreover, the paper posits that cyber security goes beyond the boundaries of traditional information security to include not only the protection of information resources, but also that of other assets, including the person him/herself. In information security, reference to the human factor usually relates to the role(s) of humans in the security process. The cultivation of positive Information Security is an effective way to promote security behaviour and practices among employees in the organization. Every organization must to elaborate an information security policy for providing management direction and support for information security. In this paper we try to elaborate about some threats and risks that influences information of an organization.

  Key-Words / Index Term
  Information security, Cyber security, Computer security, Risk, Threat, Vulnerability

  References
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  Citation
  Suman Sharma, Yogesh Verma, Amit Nadda, "Information Security: Cyber Security Challenges," International Journal of Scientific Research in Computer Science and Engineering, Vol.7, Issue.1, pp.10-15, 2019

• Open Access   Article

  Review Paper on Predicting Mood Disorder Risk Using Machine Learning

  Afzal Ahmad, Mohammad Asif, Shaikh Rohan Ali

  Review Paper | Isroset-Journal (IJSRCSE)

  Vol.7 , Issue.1 , pp.16-22, Feb-2019

  CrossRef-DOI:   https://doi.org/10.26438/ijsrcse/v7i1.1622

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  The observe findings additionally accomplice numerous other elements with an elevated chance of developing BD, together with the preterm start, head harm, drug exposures (especially cocaine), physical or sexual abuse, and other kinds of stress. But, for most of those chance factors, each sensitivity and specificity are low. The capability to predict the danger of developing a mood disease for a given individual with sufficient accuracy may be of sizeable help in diagnosing and treating temper disorders earlier than they emerge as a major health issue. In this paper we gave our full attraction on the mood disorder patient and their data history. Our main aim how optimizes this real world problem due to help of the machine learning concept. The prediction of the mood disorder contemporizes through the machine learning. The usage of a facts mixing and system learning method, this thesis seeks to develop and evaluate a prediction model focused across the affected person records this is able to predict the individualized risk for mood disorder development which will facilitate early prognosis in undiagnosed individuals. The focal point of the statistics blending method turned into to observe the relationship between an individual’s personal environment and their mood disorder risk.

  Key-Words / Index Term
  Machine learning, Brain Daises, Zone Improvement Plan, Electronic Medical Records

  References
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  Citation
  Afzal Ahmad, Mohammad Asif, Shaikh Rohan Ali, "Review Paper on Predicting Mood Disorder Risk Using Machine Learning," International Journal of Scientific Research in Computer Science and Engineering, Vol.7, Issue.1, pp.16-22, 2019

• Open Access   Article

  Advancements in Optical Character Recognition (OCR) for India Scripts: A Review

  Jagin M. Patel, Bharat C. Patel, Manish M. Kayasth

  Review Paper | Journal-Paper (IJSRCSE)

  Vol.7 , Issue.1 , pp.23-29, Feb-2019

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  Optical character recognition (OCR) has been the subject of extensive study, and during the past few decades, many publications have been written about it. India is a linguistically diverse country with numerous scripts, including Devanagari, Bengali, Tamil, Gujarati and many more. There are now many commercial OCR systems on the market. However, the majority of these systems support English, Chinese, Japanese, etc. Despite India having many major scripts, there are not many studies on character identification in the Indian language. This review discusses recent research and developments in OCR techniques for Indian scripts, focusing on both printed and handwritten text recognition.

  Key-Words / Index Term
  OCR survey, Indian script OCR

  References
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  Citation
  Jagin M. Patel, Bharat C. Patel, Manish M. Kayasth, "Advancements in Optical Character Recognition (OCR) for India Scripts: A Review," International Journal of Scientific Research in Computer Science and Engineering, Vol.7, Issue.1, pp.23-29, 2019