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In this paper forward kinematic analysis and differential motion analysis of the KUKA KR 16 Industrial Robotic System has been considered, which is a 6 d.o.f articulated robotic manipulator but we have calculated and shown spatial trajectory only 5 d.o.f, due to critical trajectory planning of D-H implementation. Forward kinematic analysis uses D-H formulation, Differential motion uses Jacobians also determines angular positions and end-effector‟s translational angular velocity at each point of its trajectory in the cartesian co-ordinates respectively. A trajectory passing through initial point, lift off point, set down point and final point is interpolated in the joint space using cubic splines. The trajectory scheme assumes two more intermediate points on trajectory. Thus, there are five segments of the entire trajectory. A LABVIEW source code is developed to obtain all the kinematics parameters and important conclusions have been observed from the values obtained.

Robot, Forward Kinematics, Jacobians, D-H matrix, Trajectory Planing

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Alok Mishra, P K Dwivedi, Kamlesh Singh, "Cylindrical Kinematics of End Effector and Differential Motion Analysis of KUKA KR 16 Robotic System," International Journal of Computer Sciences and Engineering, Vol.6, Issue.8, pp.757-764, 2018.

Artificial Intelligence (AI), Blockchain (BC), Machine Learning (ML) and Deep Learning (DL) is a progressive step within pharmaceutical and healthcare business. It`s not a dreamland degree of advance any more drawn out, it’s a functional instrument that can enable a relationship to propel their composed game-plan, improve the standard of concern, create more income, and reduction chance. AI and ML have a crucial part to play in increasing crafted by tranquilizing improvement specialists, so that as educated, to begin with, an examination of the mass of scientific data can be coordinated remembering the ultimate objective to outline essential new learning. AI has truly moved from concept towards verity in the pharmaceutical industry. The use of BC in health care is expected to stress the characteristic framework in unimaginable strategies to advantage the impacted individual and enhancements in the audit happens unmistakably thriving and costs. AI, MI, and DL are rapidly getting to be establishment technologies, like the web, and an ocean change of impact is ensured to take hold. Recurrent neural networks (RNNs), which be commonly suitable for sequence evaluation, are one of the largely confident tools for time-series or text investigation. And one of the most effective applications of RNNs in healthcare is digital scientific report analysis. In this script, we characterize the way innovation is moving Pharmaceutical and Healthcare companies and its future.

Artificial Intelligence (AI); Blockchain (BC); Machine Learning (ML); Deep Learning (DL); Recurrent neural networks (RNN)

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Satwik.P.M., Geluvaraj B, T.A. Ashok Kumar, "A Study on Applications of AI, ML, DL And Blockchain In Healthcare And Pharmaceuticals And It’s Future," International Journal of Computer Sciences and Engineering, Vol.6, Issue.8, pp.765-770, 2018.

Virtualized Cloud Computing environment having the ability to change the IT software industry. Various practices and technologies are influenced by this amazing platform of next stage of evolution of internet. Information technology industry modernized by facilitating flexible on-demand allocating of computing resources. These issues are driving forces for the formation of an effective load balancing algorithm. Load serves in various forms as network load, CPU load and memory. Load balancing mechanism improved resource utilization, job response time and minimize migration by distributing the load among various nodes in a distributed system. To achieve effective load balancing the situation like some of the nodes are heavily loaded and some are under-loaded must be avoided. Load balancing algorithm must ensure that every node in the network distributes equal amount of work to all the processors. Load Balancing plays a critical role in cloud computing environment. Efficient load balancing algorithm provides customer’s on-demand basis in pay-as-you-use-manner resource. This paper presents several load balancing algorithms in diverse cloud computing environment.

Load Balancing, Cloud Computing, Resource Allocating, Resource Scheduling

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[20] G Liu, J Li, J Xu “An improved min-min algorithm in cloud computing”, Proceedings of the 2012 International Conference of Modern Computer Science and Applications; Berlin Heidelberg: Springer.2013. p.47-52.
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[22] U. Bhoi, PN Ramanuj “Enhanced max-min task scheduling algorithm in cloud computing”, International Journal of Application or Innovation in Engineering and Management. 2013 Apr; 2(4):259-64.
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Mala Yadav, Jay Shankar Prasad, "A Review on Load Balancing Algorithms in Cloud Computing Environment," International Journal of Computer Sciences and Engineering, Vol.6, Issue.8, pp.771-778, 2018.

Cloud computing is a way of computing, where most of our data is stored in the cloud, the Internet a computing capability that provides an abstraction between the computing resource and its underlying technical architecture, enabling convenient, on-demand network access to a shared pool of configurable computing resources that can be rapidly provisioned and released with minimal management effort. The goal of cloud computing is to applytraditional supercomputing,or high performance computing power, normally used by military and research facilities, to perform tens of trillions of computations per second, in consumer-orientedapplications such as financial portfolios, to deliver personalized information, to provide data storage or to power large, immersive computer games. To do this, cloud computing uses networks of large groups of servers typically running low-cost consumer PC technology with specialized connections to spread data-processing chores across them. This paper, investigate several cloud computing system providers about their concerns on security and privacy issues.

Cloud computing , cloud computing security , cloud computing methods , architecture, challenges

[1] Santosh Kumar and R. H. Goudar, “Cloud Computing – Research Issues, Challenges, Architecture, Platforms and Applications: A Survey”, International Journal of Future Computer and Communication, Vol. 1, No. 4, December 2012.
[2] Usman Namadi Inuwa, ” The Risk and Challenges of Cloud Computing”, Usman Namadi Inuwa Int. Journal of Engineering Research and Application ISSN: 2248-9622, Vol. 5, Issue 12, (Part – 4) December 2015, pp.05-10.
[3] Yaser Ghanam,” Jennifer Ferreira, Frank Maurer,” Emerging Issues & Challenges in Cloud Computing— A Hybrid Approach,” Journal of Software Engineering and Applications, 2012, 5, 923-937 Published Online November 2012.
[4] S. Srinivasan , K. Raja,” Security Challenges In Cloud Computing,” International Journal of Emerging Technology and Advanced Engineering (ISSN 2250-2459, ISO 9001:2008 Certified Journal, Volume 4, Special Issue 2, April 2014).
[5] Rama Krishna Kalluri,Dr. C. V. Guru Rao,” Addressing the Security, Privacy and Trust Challenges of Cloud Computing,” Rama Krishna Kalluri et al, / (IJCSIT) International Journal of Computer Science and Information Technologies, Vol. 5 (5) , 2014, 6094-6097,ISSN:09759646
[6] V. Swathi, Dr. M. P.Vani,” Security and Privacy Challenges in Cloud: Survey and Research Directions,” ISSN (e): 2250 – 3005 || Volume, 07 || Issue, 08|| August – 2017 || International Journal of Computational Engineering Research (IJCER)
[7] D.Sasikumar , S.Saravanakumar,” Cloud Computing – Research Issues, Challenges, Architecture, Platforms and Applications,” D. Sasikumar et al. / International Research Journal of Latest Trends in Engineering and Technology (IRJLTET) ISSN: 2455-2666 Vol.5 No.2 MAR/APR 2017.
[8] Deepak Puthal , B. P. S. Sahoo† , Sambit Mishra, and Satyabrata Swain,” Cloud Computing Features, Issues and Challenges: A Big Picture,” 2015 International Conference on Computational Intelligence & Networks (CINE 2015)
[9] MR. GURMEET SINGH; MR. VINEET KUMAR SACHDEVA,” IMPACT AND CHALLENGES OF CLOUD COMPUTING IN CURRENT SCENARIO,” International Journal of Social Science & Interdisciplinary Research Vol.1 Issue 10, October 2012, ISSN 2277 3630.
[10] Ashraf Zia, Muhammad Naeem Ahmad Khan,” Identifying Key Challenges in Performance Issues in Cloud Computing,” I.J.Modern Education and Computer Science, 2012.
[11] Maher Alghali, H. M. A. Najwa, I. Roesnita,” Challenges and Benefits of Implementing Cloud Based E-Learning in Developing Countries,” ICSSR 2014 (e-ISBN 978-967-11768-7-0). 9-10 June 2014.
[12] Jui-Chien Hsieh , Ai-Hsien Li and Chung-Chi Yang,” Mobile, Cloud, and Big Data Computing: Contributions, Challenges, and New Directions in Telecardiology,” Int. J. Environ. Res. Public Health 2013.
[13] Jahangeer Qadiree , Mohd Ilyas Maqbool,” Solutions of Cloud Computing Security Issues,” International Journal of Computer Science Trends and Technology (IJCS T) – Volume 4 Issue 2, Mar - Apr 2016.
[14] Hesham Allam, Nasser Nassiri, Amala Rajan, Jinesh Ahmad,” A Critical Overview of Latest Challenges and Solutions of Mobile Cloud Computing,” 2017 Second International Conference on Fog and Mobile Edge Computing (FMEC) 978-1-5386-2859-1/17/$31.00 ©2017 IEEE 225.
[15] Y. Ghebghoub, S. Oukid, and O. Boussaid,” A Survey on Security Issues and the Existing Solutions in Cloud Computing,” International Journal of Computer and Electrical Engineering, Vol. 5, No. 6, December 2013.

C. Ranjith Kumar, "Survey on Cloud Computing Services and Challenges," International Journal of Computer Sciences and Engineering, Vol.6, Issue.8, pp.779-783, 2018.

MANET is a type of infrastructure-less wireless communication network system that can be set up at any time and anywhere. Dynamic and infrastructure fewer networks. Power consumption is one of the most crucial design concerns in Mobile Ad-hoc networks as the nodes in MANET are battery limited. The major constraint of this type so networks are Energy optimization because the nodes involved in this type of networks are battery operated. This paper presents different works done in the past to improve the lifetime and other parameters of the mobile ad hoc networks.

MANET, DSR, energy efficiency, power consumption

[1]. Deepti Badal, Rajendra Singh Kushwah, “Nodes energy aware modified DSR protocol for energy efficiency in MANET”, IEEE INDICON 2015.
[2]. Sheng-Lung Peng, Yan-Hao Chen, Ruay-Shiung Chang, Jou-Ming Chang, “An Energy-aware Random Multi-Path Routing Protocol for MANETs”, IEEE International Conference on Smart City/Social Com/Sustain Com together with Data Com 2015 and SC2 2015.
[3]. Arvind Kushwaha, Prof. Nitika Vats Doohan, “M-EALBM: A Modified Approach Energy Aware Load Balancing Multipath Routing Protocol in MANET”, Symposium on Colossal Data Analysis and Networking, IEEE 2016.
[4]. Methaq jasam, Dr.salman bin yussof, “ Evaluation Of Energy Efficiency Of MANET Routing Protocols”, International Journal Of Scientific & Technology Research Volume 2, Issue 3, March 2013.
[5]. Shiva Prakash, J. P. Saini, S. C. Gupta, “A review of Energy Efficient Routing Protocols for Mobile Ad Hoc Wireless Networks”, International Journal of Computer Information Systems, Vol. 1, No. 4, 2010.
[6]. Dhiraj Suresh Patil and Rahul Gaikwad, "Survey Paper on Energy Efficient MANET Protocols" in the international journal of scientific research June 2015.
[7]. Mohammed Aashkaar, Purushottam Sharma,” Enhanced energy efficient AODV routing protocol for MANET” in IEEE 2016.
[8]. W. K. Kuo and S. H. Chu, "Energy Efficiency Optimization for Mobile Ad Hoc Networks," in IEEE Access, vol. 4, no. , pp. 928-940, 2016.
[9]. Raghav Yadav and Mahdi Abdul kader Salem, “ Efficient Load Balancing Routing Technique for Mobile Ad Hoc Networks” in International Journal of Advanced Computer Science and Applications, Vol. 7, No. 5, 2016

Balinder Kaur, Sunil Nagpal, "Review on Energy Efficient Techniques in MANETs," International Journal of Computer Sciences and Engineering, Vol.6, Issue.8, pp.784-789, 2018.

The development and growth of Internet technology has made digital signature in the convenient and helpful manner for electronic transaction security and business applications. Digital signature is largely used because of its data integrity, protecting the data, privacy and authenticity assets. Digital signatures are mostly used in financial transaction, credential identify and software distribution, where it is indispensable to detect forgery or tampering of data. Digital signatures based on elliptic curves are more secure, reliable and suitable for constrained environments like wireless sensor networks because of its reduced processing overhead. This paper discusses the principles of Digital Signatures, their applications based on Elliptic Curve Digital Signature (ECDSA) scheme using asymmetrical cryptography along with Galois Field. Finally, a practical elliptic curve digital signature system using Galois Field is implemented and its time complexity is analyzed. The time complexity results validation claim that the proposed ECDSA is suitable for use in real time environments like WSN and smart cards. The proposed technique is based on mathematical model used in ECC with Galois Field along with the secure hash function. Programming language Python is used to realize the algorithm used.

Digital Signatures, DSA, ECC, Galois Field, ECDSA, Encryption using asymmetric cryptography, Hash Functions, SHA 512

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[3] D. Boneh, H. Shacham, “Group signatures with verifier-local revocation”, 11th ACM Conference on Computer and Communications Security CCS, Washington DC USA, Pages168–177, 2004.
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[6] Hongjie Zhu, Daxing Li “Research on Digital Signature in Electronic Commerce” Proceedings of the International MultiConference of Engineers and Computer Scientists 2008 Vol I IMECS 2008, 19-21 March, 2008, Hong Kong
[7] Mohammad Noor Nabi, Sabbir Mahmud, And M Lutfar Rahman “Implementation and Performance Analysis Of Elliptic Curve Digital Signature Algorithm”, Daffodil International University journal of science and technology, volume 2, issue 1, Page 28-33 January 2007.
[8] Aqeel Khalique, Kuldip Singh, Sandeep Sood “Implementation Of Elliptic Curve Digital Signature Algorithm” International Journal Of Computer Applications, Volume 2, Issue 5, Page 1263-1271, May 2010.
[9] D. Jetchev and R. Venkatesan. Bits security of the elliptic curve Diffie-Hellman secret keys. In D. Wagner, editor, CRYPTO, volume 5157 of LNCS, pages 75–92. Springer, 2008.
[10] M. Georgiev, S. Iyengar, S. Jana, R. Anubhai, D. Boneh, and V. Shmatikov. The most dangerous code in the world: Validating SSL certificates in non-browser software. In T. Yu, G. Danezis, and V. D. Gligor, editors, ACM Conference on Computer and Communications Security, pages 38–49. ACM, 2012.
[11] Joppe W. Bos, Craig Costello, Patrick Longa, Michael Naehrig, Selecting elliptic curves for cryptography: An efficiency and security analysis, Journal of cryptographic Engineering, November 2016, Volume 6, issue 4, page 259-286, Springer 2016.
[12] Paramjit Kaur, RakeshKumar and Harinder Kaur, "An Improved Security Network Life Based on Data Ant Colony Optimization Method Used in Wireless Mesh Network", International Journal of Computer Sciences and Engineering, Vol.6, Issue.3, pp.50-56, 2018.
[13] Abhishek Satyarthi, Sanjiv Sharma, "A Review of Homomorphic Encryption Algorithm for Achieving Security in Cloud: Review Article", International Journal of Computer Sciences and Engineering, Vol.5, Issue.6, pp.19-23, 2017.
[14] Kodge B. G., "Information Security: A Review on Steganography with Cryptography for Secured Data Transaction", International Journal of Scientific Research in Network Security and Communication, Vol.5, Issue.6, pp.1-4, 2017
Book References
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Mohammad Amjad, "Secure Digital Signature with Elliptic Curve Cryptography Scheme using Galois Field," International Journal of Computer Sciences and Engineering, Vol.6, Issue.8, pp.790-796, 2018.

In this paper, an analytical approximate solution of a system of fractional differential equations, fractional heat-like two-dimensional equation and stiff system of nonlinear differential equations is obtained using variational iteration method. The results reveal that our method is effective straightforward and very simple. The numerical findings for different cases of problems are presented graphically. The results reveal that the variational iteration method is convenient, stable, efficient, much easier and performs extremely good in terms of simplicity and efficiency.

Variational iteration method; fractional heat-like two-dimensional equation; System of fractional differential equation; Caputo fractional derivative

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Shweta Pandey, Sandeep Dixit, "Solution of System of Fractional Differential Equations Using Variational Iteration Method," International Journal of Computer Sciences and Engineering, Vol.6, Issue.8, pp.797-802, 2018.

Data stream classification has been a wide studied detailed examination downside in recent years. The vigorous and evolving nature of knowledge streams needs economical and effective techniques that square measure considerably completely different from static data classification techniques. The foremost strenuous and well studied characteristics of information streams square measure its infinite length and concept-drift. Information stream classification poses several challenges to the info mining community. All through this paper, we enclose a affinity to talk four such major dispute namely, IL, CDI, CE, and FE. Since an information stream is in theory IL Model (Infinite long), it`s impractical to store and use all the historical information for coaching. CD Model (Concept-Drift) could be a common development in information streams that happens as a result of changes within the underlying ideas. CE (Concept-Evolution) happens as a results of new categories evolving within the stream. Feature-evolution (FE) Model could be a oft occurring method in several streams, reminiscent of text streams, within which new options seem because the stream progresses. Most existing information stream classification techniques address solely the primary challenges, and ignore the latter two. The paper proposes associate degree ensemble classification framework, wherever every classifier is provided with a unique class detector, to handle CE.

Outlier Detection, Big Data Mining, Concept Drift (CF)t, Concept Evaluation(CE),Feature Evaluation (FE), CP GraphModel.

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M.Nalini, Anjali kuruvilla, "Analysis of Top-K Query for Data Stream Using Classification Adaptive Model," International Journal of Computer Sciences and Engineering, Vol.6, Issue.8, pp.803-807, 2018.

Recently the peoples of the metropolitan cities are moving from traditional offline interactive shopping to online shopping due to time limitation and cost of products. In online shopping, the purchase decision is a challenging task for new customers as there may a large number of competitive products. Recently mostly online shopping sites have been facilitated to their customers to write the reviews about the products they have purchased. These customers’ reviews do not only help to new customer for taking purchase decision but also help the manufacturer to increase the sale of their products by improving its quality. This paper presents a reviews mining method to extract product features and its opinion. Thereafter, we apply the Analytic Hierarchy Process (AHP) on extracted features and opinion to rank the competitive products by scoring them. The method has been validated on a data set related to five smart phones downloaded from three deferent online shopping websites - Flipkart, Snapdeal, and Amazon. The evaluation result shows that the proposed method gives up to marks result.

Text mining; Opinion mining; feature extraction; Analytical Hierarchy Process; Product ranking

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Jahiruddin, "Opinion Mining from Customer Reviews for Product Ranking," International Journal of Computer Sciences and Engineering, Vol.6, Issue.8, pp.808-818, 2018.

data mining techniques are used in a number of applications such as classification, prediction and others. In this presented work the data mining techniques are investigated for implementing in prediction applications. Therefore this paper provides the study about the stock market price prediction techniques and the recently made contributions in domain of prediction using data mining techniques. The data mining techniques are having the ability to evaluate the historical stock market price trends and can approximate the upcoming market prices. In addition of that a model using available techniques is also presented work.

Stock market price, prediction, data mining, survey, improved model

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Prateek Purey, Anil Patidar, "A Survey on Stock market price prediction using data mining techniques," International Journal of Computer Sciences and Engineering, Vol.6, Issue.8, pp.819-822, 2018.