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Volume 8 ~ Issue 9 ~ Version 5 (September 2018)

 


Paper Type

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Research Paper

Title

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CubeSat Design and Manufacturing Technique Analysis

Country

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China

Authors

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Nickolay Zosimovych || Zhiyong Chen

Page No.

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01-06

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The CubeSat design process is comprised of choice of its trajectory, determination of components and main parameters of its systems, development of external and internal layouts, determination of the number of satellite-born antennas and their main characteristics. The potential of CubeSat has prompted the scientific community to rethink the existing spacecraft technologies, and think about how to make them suitable for CubeSats. In terms of specialization of engineering works during SmallSats development, was formulated concept of the design process and recognized physical relationships to find some optimal design solution about compatibility of basic parameters and characteristics. The purpose of SmallSats rational design is to create a project of a vehicle for which the value of the selected criterion is close to the maximum or minimum value. As a result, the design algorithm version was making.

 

Keywords: SmallSat, spacecraft, design, structure, weight, power system (PS).

[1]. Gao S, Clark K, Unwin M, Zackrisson J, Shiroma W A, Akagi J M, Maynard K, Garner P, Boccia L, Amendola G, Massa G, Underwood C, Brenchley M, Pointer M, Sweeting M N. Antennas for modern small satellites, IEEE Antennas Propag. Mag., Vol. 51, No. 4; 2009. p. 40-56.
[2]. Swartwout M A. CubeSat database, Aug.; 2016. [online] Available: https://sites.google.com/a/slu.edu/swartwout/home/cubesat-database .
[3]. Small spacecraft technology state of the art. Tech. Rep. NASA/TP-2014-216648/REV1; 2014.
[4]. Lee S, Hutputanasin A, Toorian A, Lan W, Munakata R, Carnahan J, Pignatelli D, Mehrparvar A. CubeSat design specification, Rev. 13: The CubeSat program, San Luis Obispo: California Polytechnic State Univ.; 2014, [online] Available: http://cubesat.calpoly.edu/images/developers/cds_rev13_final.pdf.
[5]. Kitts C, Hines J, Agasid E, Ricco A, Yost B, Ronzano K, Puig-Suar J. The Gene-Sat-1 microsatellite mission: A challenge in small satellite design, Proc. 20th Annu. American Inst. Aeronautics and Astronautics / Utah State University Conf. Small Satellites; 2006. p. 1-6.

 

Paper Type

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Research Paper

Title

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Experimental Investigation on Mechanical Properties of Quartz reinforced Aluminum alloy metal matrix Composite as cast and heat treated

Country

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India

Authors

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Dr. N.Nandakumar || N.Muthukumaran

Page No.

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07-13

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In recent years the demand for the light weight material, low cost and high performance material is needed. In case of MMC‟s, aluminium matrix composite due their high strength to weight ratio, low cost and high wear resistance are widely manufactured. In this present experimental work the production of Alsi 10mg is reinforced with quartz material by stir casting method. The resulting composite produced from cast is tested for their mechanical properties without heat treatment and with heat treatment on the casting samples and compared with each other.The project aims to provide solution for optimum reinforcement percentage, and also suggest that the heat treatment on casting will increase their mechanical properties substantially.

 

Keywords: Hybrid Composite material, Hardness, Impact test, Stir casting process, Tensile strength.

[1] Dr. Thirumalai.T1, Dr.Boopathi.L and Shreedhar.T3,Manufacturing of Aluminium Reinforced With Quartz in Composites, International Conference on Emerging trends in Engineering, Science and Sustainable Technology (ICETSST-2017)E-ISSN: 2348 – 8352.
[2] Mallikarjuna G B1*, K V Sreenivas Rao1 and R H Jayaprakash1 "Preparation and property evaluation of aluminium-silica composites by casting route".
[3] S.D.Saravananet al." Prediction of Tribological behavior of rice husk ash reinforced aluminum alloy matrix composites using artificial neural network "Russian vol.56(no.1):pp.97-106 · January 2015
[4] A. P. S. V. R. Subrahmanyam, G. Narsaraju and B. SrinivasaRao "Effect of Rice Husk ash and Fly ash Reinforcements on Microstructure and Mechanical properties of Aluminium alloy (AlSi10Mg) Matrix Composites‟ International Journal of Advanced Science and Technology Vol.76 (2015), pp.1-8.
[5] S.Sawlaet.al., "Combined effect of reinforcement and heat treatment on the two body abrasive wear of aluminum alloy and aluminum particle composites" Wear 257(5-6):555-561 · September 2004 DOI: 10.1016/j.wear.2004.02.001

 

Paper Type

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Research Paper

Title

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Estimation of Product Yield and Kinetic Parameters of Phenolic-Resin Pre-Polymer Synthesis using Acid and Base as Catalyst

Country

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Nigeria

Authors

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Uyigue, L. || Kubiangha, E.O.

Page No.

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14-25

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In this paper, phenolic-resin polymerization was reviewed by placing emphasis on the influence of method of production and its operating conditions on the product yield and kinetics of phenol-formaldehyde pre-polymer synthesis. Batch and semi-batch techniques were used to synthesize novolac and resole resin pre-polymers using standardized phenol to formaldehyde mole ratios. The operating conditions for the reactions were varied in order to measure its influence on reaction performance and kinetics. The results obtained showed that yield of phenolic-resins generally increased with increasing catalyst concentration and reaction temperature. Optimum yield for novolac resin synthesized by batch process was 77.5 %; while that for novolac and resole resins synthesized by semi-batch processes.............

 

Keywords: Phenolic-resin pre-polymer, operating condition, kinetic parameter, synthesis technique and phenol-formaldehyde mole ratio.

[1]. Atthajariyakul, S. and Vanichseni, S. (2001) Development of a kinetic model for resole-type phenolicresin formation. Thammasat International Journal of Science and Technology, 6(3): 12-18.
[2]. Biernath, R.W. and Soane, D.S. (1992) Cure kinetics of epoxy cresol novolac encapsulants for microelectronics packaging. Contemporary Topics in Polymer Science, 7: 130-159.
[3]. Billmeyer, F.W. (2005) Textbook of polymer science, 3rd edition, John Wiley and Sons Inc., Singapore.
[4]. Conner, A.H. and Reeves, M.S. (1999) Reaction of formaldehyde at the ortho and para-positions of phenol: exploration of mechanisms using computational chemistry. Adhesives Technical Interest Group Session: FPS annual meeting: 483 – 487.
[5]. Christjanson, P., Pehk, T., and Paju, J. (2010) Structure and curing mechanism of resole phenolformaldehyde pre-polymer resins. Proceedings of the Estonian Academy of Sciences, 59(3): 225-232.

 

Paper Type

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Research Paper

Title

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Fuzzy Filters Ofa Partial Ordered Ternary Semigroup

Country

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India

Authors

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J.M.Pradeep || A. Gangadhara Rao || P.Ramyalatha || C.Srimannarayana

Page No.

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26-33

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In this paper we introduced the concepts of fuzzy left filter ,fuzzy( rightlateral) filters of a poternarysemigroup and also the concepts of proper fuzzy filter,fuzzy left (right,lateral) filters of a po ternary semigroup generated by a fuzzy subset are also introduced.It is proved that the non empty intersection of two fuzzy left(right ,lateral) filters of poternarysemigroup is also a fuzzy left (right ,lateral) filter.

 

Keywords: fuzzy left filter ,fuzzy( right lateral), filtersproper fuzzy filter Completely semiprime, completely fuzzy prime, completely fuzzy semiprime,fuzzysemiprime.

[1]. Anjaneyulu A., Structure and ideal theory of semigroups – Thesis, ANU (1980). Clifford A.H and Preston G.B., The algebraic theory of semigroupsvol – I (American Math. Society, Province (1961)).
[2]. Clifford A.H and Preston G.B., The algebraic theory of semigroupsvol – II (American Math. Society, Province (1967)).
[3]. G.Mohanraj, D.KrishnaSwamy,R.Hema, On fuzzy m-systems and n-systems of ordered semigroup, Annals of Fuzzy Mathematics and Informatics, Volume X, Number X,2013.
[4]. J.N.Mordeson, D.S.Malik, N.Kuroki, Fuzzy Semigroups, Springer-Verlag Berlin Heidelberg Gmbh, 2003(E.Book)
[5]. L.A.Zadeh, Fuzzy Sets, Inform.Control.,8(1965) 338-353.

 

Paper Type

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Research Paper

Title

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New technique of two numerical methods for solving integral equation of the second kind

Country

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Egypt

Authors

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M. A. Abdou || A. A. Abbas

Page No.

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34-40

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Here, we use new technique ofTrapezoidal Rule and Simpson's Rule, as two numerical approximation methods to solve the integral equations of type Fredholm and Volterrs with conuiouskernel.Some numerical examples are considered and the error of the method is computed. Comparizonbeteen the solution of ordinary differential and the corresponding solution of integral equation, numerically is obtained.

 

Keywords : Volterra integral equation, Trapezoidal Rule, Simpson's Rule, approximate method, the error of the method.

[1]. Abdou, M. A. (2002),Fredholm Volterra integral equation of the first kind and contact problem, J. Appl. Math. Comput.125 177 193.
[2]. Abdou, M. A. (2002), Fredholm Volterra integral equation and generalized potential kernel, J. Appl. Math.Comput.131, 81 94.
[3]. Abdou, M. A. (2003), On asymptotic methods for Fredholm Volterra integral equation of the second kind in contact problem, J. Comp. Appl. Math. 154, 431 446.
[4]. Muskhelishvili, N. i(1953), Singular Integral Equations, Noordhoff, Groningen, The Netherland, .
[5]. Green, C.D.(1969) Integral Equation Methods, NewYork,.

 

Paper Type

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Research Paper

Title

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Adaptive Directory based Cache Coherency Model to Optimize the Network Bandwidth in Distributed Applications

Country

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India

Authors

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Subrahmanya B || Dr. V. Vijayakumar

Page No.

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41-46

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Cache management has undergone various dimensions in the Computational field, by keeping the objective of computational performance for High Performance Computation(HPC). Cache Management in Multiprocessor Systems leads to a new problem called Cache Coherency Problem. This problem basically addresses the issue of maintaining consistency among Memory and Cache contents. Even in Distributed Systems, Cache Coherency Problems needs to be addressed and Directory Based Cache Coherency Model is one such solution for this Problem..........

 

Keywords: Distributed System, High Performance Computation, Coherency Problem, Adaptive, Computational, Multiprocessor Systems, In Throughput, Out Throughput, In Out Throughput.

[1]. Shou-Chih Lo, Jhih-Sian Hu, Varsha A. Kshirsagar, Neighborhood-Based In-Network Caching for Information-Centric Networks. Int. J. Communications, Network and System Sciences, 2017, 10, 76-87
[2]. Sarah Tasneem 1 , Reda Ammar 2, Performance Study of a Distributed Web Server: An Analytical Approach. Journal of Software Engineering and Applications, 2012, 5, 855-863.
[3]. Rizik M. H. Al-Sayyed, Fawaz A. Al Zaghoul, Dima Suleiman, Mariam Itriq, Ismail Hababeh. New Approach for Database Fragmentation and Allocation to Improve the Distributed Database Management System Performance. Journal of Software Engineering and Applications, 2014, 7, 891-905
[4]. Hang Qin, Li Zhu Adaptive Cache Allocation with Prefetching Policy over End-to-End Data Processing. Journal of Signal and Information Processing, 2017, 8, 152-160
[5]. Arif Sari, Murat Akkaya, Fault Tolerance Mechanisms in Distributed Systems. Int. J. Communications, Network and System Sciences, 2015, 8, 471-482

 

Paper Type

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Research Paper

Title

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OpenPOWER Architecture: A Case Study on Semantic Segmentation using ENet Model

Country

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India

Authors

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Prisilla J || Iyyanki V Murali Krishna

Page No.

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47-51

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Semantic segmentation is labelling each pixel for which an image or a class belongs to. The ability to perform pixel-wise semantic segmentation in real-time is of extract more detailed information of the image. Learning about thousands of objects from millions of images, a model with a large learning capacity is required. In this paper, a deep neural network model named ENet is discussed as efficient neural network and for tasks precisely requires low inference value. ENet is nearly 18 times faster, has 79 times less parameters, and provides better accuracy to existing models. The ENet model on OpenPOWER architecture would provide much better results with less speed throughput on the CPU / GPU.

 

Keywords: OpenPOWER, deeplearning, ENet, semantic segmentation.

[1]. Yen-Kai Huang and Vivian Yang, ―Street View Segmentation using FCN models‖, 2017.
[2]. Alex Krizhevsky et al., ―ImageNet Classification with Deep Convolutional Neural Networks‖ in Advances in neural information processing systems, 2012, pp. 1097–1105.
[3]. Kaiming He et al., ―Deep Residual Learning for Image Recognition‖ in proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2016, pp. 770–778.
[4]. Adam Paszke et al., ―ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation‖ arXiv: 1606.02147v1, 2017.

 

Paper Type

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Research Paper

Title

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A Study on the Synthesis, Structural, Spectral and Optoelectronic Properties of Pure and Sodium Ion Incorporated Cadmium Oxalate Nonlinear Optical Single Crystals

Country

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India

Authors

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F. Daisy Selasteen || S. Alfred Cecil Raj

Page No.

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52-61

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Cadmium oxalate CdC2O4.3H2O (CdOx) and sodium cadmium oxalate [Na4Cd2 (C2O4) 4.4H2O] (NaCdOx) were grown as single crystals using single diffusion silica gel technique and the conditions influencing the size, shape and quality were optimized at ambient temperature. Single crystal XRD was carried out to analyze the crystal structure. A monoclinic system with the space group P21/n was revealed using full matrix least square technique employing the SHELXL program. The results of the structural analysis indicate that the complex formed by the Na-O and Cd-O coordination bonds explore a two-dimensional network structure which was further linked by O-H···O hydrogen bonds to give a three-dimensional structure............

 

Keywords: [Na4Cd2 (C2O4) 4.4H2O] and [CdC2O4.3H2O] crystal structure, crystal growth from gel, optical and electrical properties, nonlinear optical materials.

[1]. G. Vanhoyland, F. Bouree, M.K. Van Bael, J. Mullens, L.C. an Poucke. Structural determination of refinement of acid strontium oxalate from X- ray and neutron powder diffraction, J. Solid State Chem.157, 2001, 283-288.
[2]. Daniel J. Price, Annie K. Powell, Paul T. Wood. Hydrothermal crystallization and X-ray structure of anhydrous strontium oxalate, Polyhedron, 18, 1999, 2499-2503.
[3]. M. E. Torres, T. Lopez, J. Peraza, J. Stockel, and A. C. Yanes. Structural and dielectric characterization of cadmium tartrate,Journal of Applied Physics, 84, 1998,5729-5732.
[4]. M.E.Torres, A.C.Yanes, T.Lopez, J.Stockel, J.F.Peraza, Characterization and thermal and electromagnetic behavior of gadolinium-doped calcium tartrate crystals grown by the solution technique, Journal of Crystal Growth., 156,1995,156: 421-425.
[5]. T. Thomas et al., Requirements for a GaAsBi 1 eV sub-cell in a GaAs-based multi-junction solar cell,Semicond. Sci. Technol,30,2015, 094010 (6pp).

 

Paper Type

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Research Paper

Title

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Preserving Electronic Health Data using Machine Learning Techniques and Cybersecurity Concerns

Country

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India

Authors

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Iyyanki V Murali Krishna || Prisilla J

Page No.

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62-67

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Medical care data are huge with rich information and the records are increased within hours. Managing this heavy load of database with confidence and integrity is a major concern. In this study encryption and Convolution Neural Network has merged to give high security for accessing the patient data for medication. The finger print along with the face recognition of the authorized and authenticated doctors enhances the degree of security for the healthcare data. The cybersecurity awareness should be given to all the employees on a monthly basis and to train the newly joined staff. Regular backups and preserving the encrypted data are other concern to cope with ransomware attack.

 

Keywords: Authenticate, back-ups, encryption, ransomware.

[1]. "Health Care Industry cyber security task force", A Report on improving cyber security in the health care industry, June 2017.
[2]. Alka Gangrade and Ravindra Patel "Building Privacy-Preserving C4.5 Decision Tree Classifier on Multiparties", International Journal on Computer Science and Engineering Vol. 1(3), 2009, 199-205.
[3]. Enn Tyugu, "Artificial Intelligence in Cyber Defense", 3rd International Conference on Cyber Conflict C. Czosseck, 2011 by CCD COE Publications.
[4]. Clemens Scott Kruse, Benjamin Frederick, Taylor Jacobson and D. Kyle Monticone, "Cybersecurity in healthcare: A systematic review of modern threats and trends", Technology and Health Care 25 (2017) 1–10.
[5]. Wang-Su Jeonand Sang-Yong Rhee, "Fingerprint Pattern Classification Using Convolution Neural Network", International Journal of Fuzzy Logic and Intelligent Systems Vol. 17, No. 3, September 2017, pp. 170-176.