An Agricultural Perspective in Internet of Things
Research Paper | Journal Paper
Vol.06 , Issue.05 , pp.107-110, Jun-2018
CrossRef-DOI: https://doi.org/10.26438/ijcse/v6si5.107110
Abstract
Internet of Things (IoT) is a pioneer to the field of wireless communication. IoT is that network in which things are interconnected wirelessly via smart sensors. Smart sensors are equipped with various sensing and monitoring parameters depending on the scenarios where they are actually deployed. IoT is such an upcoming thing in which there is no need of human interference. IoT has wide range of applications like in agriculture, automotive industries, transportation, hospitals etc. This paper has focussed on agricultural application based on wireless technology to generate an effective value such as enhancement of agriculture productivity, standard increment of agriculture products in the entire procedure of agriculture production. Conclusively, We get better quality of agricultural products.
Key-Words / Index Term
IoT, decision support, agriculture, monitoring, statistics
References
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Citation
D.Kumari, R.Pandita, M.Mittal, "An Agricultural Perspective in Internet of Things", International Journal of Computer Sciences and Engineering, Vol.06, Issue.05, pp.107-110, 2018.
RISK ANALYSIS IN SOFTWARE SYSTEMS
Research Paper | Journal Paper
Vol.06 , Issue.05 , pp.111-114, Jun-2018
CrossRef-DOI: https://doi.org/10.26438/ijcse/v6si5.111114
Abstract
Risk Identification is one of the important issues in software development.Currently, software is becoming a major part of enterprise business. Software development is activity connected with advanced technology and high level of knowledge. Risks on software development projects must be successfully mitigated to produce successful software systems. Lack of a defined approach to risk management is one of the common causes for project failures. To improve project chances for success, this work investigates common risk impact areas to perceive a foundation that can be used to define a common approach to software risk management. Based on typical risk impact areas on software development projects, we propose three risk management strategies suitable for a broad area of enterprises and software development projects with different amounts of connected risks. Proposed strategies define activities that should be performed for successful risk management, the one that will enable software development projects to perceive risks as soon as possible and to solve problems connected with risk materialization. We also propose a risk-based approach to software development planning and risk management as attempts to address and retire the highest impact risks as early as possible in the development process.
Key-Words / Index Term
Risk Management, Risk analysis, Risk priportization
References
[1] Hall, E. (1998): Managing Risk: Methods for Software System Development, Addison-Wesley, New York
[2] Jones, C. (1994): Assessment and Control of Software Risk, Prentice-Hall, New York
[3] Sertić, H. (2002): Applying Unified process on complex software system development, Master Thesis, Economic Faculty, University of Zagreb, Zagreb
[4] Booch, G.; Rambaugh, J.; Jacobson, I. (2001): The Unified Software Development Process, Addison-Wesley, New York
[5] Karolak, W. (1995): Software Engineering Risk Management, Wiley-IEEE Press, San Francisco
[6] Royce, W. (1998): Software Project Management: A unified framework, Addison-Wesley, New York
[7] Larman, C. (2002): Applying UML and Patterns, Prentice Hall, Upper Saddle River
[8] Robertson, S.; Robertson J. (2001): Mastering the Requirements Process, Addison-Wesley, New York
[9] Capers, J. (1994): Assessment and Control of Software Risks, Prentice Hall PTR, Upper Saddle River NJ
[10] Ould, M. (1996): Strategies for Software Engineering: The Management of Risk and Quality, John Wiley & Sons, San Francisco
[11] Charette, R. (1989): Software Engineering Risk Analysis and Management, McGraw Hill, New York
[12] Ould, M. (1998): Managing Software Quality and Business Risk, John Wiley & Sons, San Francisco
Citation
Varsha Mittal, Neena Gupta, "RISK ANALYSIS IN SOFTWARE SYSTEMS", International Journal of Computer Sciences and Engineering, Vol.06, Issue.05, pp.111-114, 2018.
Construction of a tree from a given single order traversal and also find the other order traversal of a tree
Research Paper | Journal Paper
Vol.06 , Issue.05 , pp.115-118, Jun-2018
CrossRef-DOI: https://doi.org/10.26438/ijcse/v6si5.115118
Abstract
As we know that tree traversal means to visit every node of a tree exactly once [1]. We can traverse a tree in three way these are Inorder, Preorder and Postorder. We can easily construct a tree from given two order these order can be Inorder and Preorder, Inorder and Postorder etc. Here we will be construct the tree from given one order and after constructing the tree we will find the other order traversal of a tree.
Key-Words / Index Term
Preorder to Postorder, Inorder to Preorder,Postorder to Preorder, Preorder to Inorder, One order traversal
References
[1] M. R. Headington, D. D. Riley, “Data Abstraction and Structures using C++”, Jones and Bartlett Publishers,London, pp. 621-624,1997, ISBN no 0-7637-0295-1.
[2] A. M. Berman, “Data Structures via C++ objects by Evaluation”, Oxford University Press,New York, pp.326,1997, ISBN no 0-19-510843-4.
[3] N.Dale, D. T. Joyce, C. Weems , “Object-Oriented Data structures using Java” ,Narosa Publishing House,New Delhi, pp.536,2002, ISBN no 81-7319-551-X.
[4] A. Drozdek, “Data Structures and Algorithms in C++”,Brooks /Cole Thomson learning, Vikas Publishing House, Singapore,pp.226-234, 2001, ISBN no 981-240-079-6.
Citation
Vaibhav Sharma, "Construction of a tree from a given single order traversal and also find the other order traversal of a tree", International Journal of Computer Sciences and Engineering, Vol.06, Issue.05, pp.115-118, 2018.