This study aims at the development of mix design equation for prediction of compressive strength of concrete produced with different proportions of, fine aggregate, coarse aggregate, water content, cement content and palm oil fuel ash (POFA) for partial replacement of concrete. The investigation was carried out for a period of 28 days curing age. The concrete design model was developed via the multiple linear regression technique, and the results obtained from the experiment for each mix design were fitted into model. It was observed that the compressive strength predicted by the model were comparable to those obtained from the experiment, with correlation coefficient, R2 of 0.9751 (97.51%). Thus, the high prediction recorded indicated that the developed concrete mix design model for partial replacement of cement can be used to forecast the strength of concrete given a specific mix concrete design prior to production of the concrete, thereby saving cost and time.

Key words: POFA, Compressive Strength, Mix Parameters and Mix Design Model

[1]. Ahmad, D. A. & Ado, M. (2016). Ivestigation into the Use of Plaintain Peels Ash as an Admixture in Concrete, International Journal of Engineering Scientific & Computing, 6(5), 5377-5380.
[2]. Bhatnagar, R., Gupta, G. & Yadav, S. (2015). A Review on Composition and Properties of Banana Fibers, International Journal of Scientific & Engineering Research, 6(5), 49-52.

In the present work, cobalt ferrite nanoparticles were synthesized by sol-gel auto combustion method using citric acid as a fuel. The metal nitrate to fuel ratio was taken as 1:3. The as prepared powder of cobalt ferrite was sintered at 550C for 4 h and used for further characterizations. The sintered pellet of cobalt ferrite is gamma irradiated using Co60 source. The structural characterizations were made using X-ray diffraction technique for both gamma irradiated and unirradiated cobalt ferrite nanoparticles. X-ray diffraction (XRD) pattern revealed the formation of single phase cubic spinel structure. No extra peak has been observed in both the XRD patterns.............

Key words: Cobalt ferrite nanoparticles, Gamma irradiation, XRD.

[1]. A. Raut, R. Barkule, D. Shengule, K. Jadhav, Synthesis, structural investigation and magnetic properties of Zn2+ substituted cobalt ferrite nanoparticles prepared by the sol–gel auto-combustion technique, Journal of Magnetism and Magnetic Materials, 358 (2014) 87-92.
[2]. V. Kawade, G. Bichile, K. Jadhav, X-ray and infrared studies of chromium substituted magnesium ferrite, Materials Letters, 42 (2000) 33-37.
[3]. P. Hankare, R. Patil, U. Sankpal, S. Jadhav, P. Lokhande, K. Jadhav, R. Sasikala, Investigation of structural and magnetic properties of nanocrystalline manganese substituted lithium ferrites, Journal of Solid State Chemistry, 182 (2009) 3217-3221.
[4]. B. Toksha, S.E. Shirsath, S. Patange, K. Jadhav, Structural investigations and magnetic properties of cobalt ferrite nanoparticles prepared by sol–gel auto combustion method, Solid State Communications, 147 (2008) 479-483.

The stationary longitudinal vibrations of a finite length visco-elastic cylindrical shell with regard to singularity of the shell creeping nucleus are investigated. A formula for axial displacement of the shell points are obtained in explicit analytic form. A formula of amplitude-frequency dependence on the base of which an appropriate curve is constructed for the given values of input parameters, is derived.

[1]. Timoshenko S.P., Voynovsky-Kriger S. Plates and shells. Fizmatgiz, 1963. (Russian).
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[3]. Suvorova J.V. On nonlinear-hereditary equation of Yu. N. Rabotnov and its applications. Mekhanika tverdogo tela. Izv. RAN. M.: 2004, No 1, pp. 174-181 (Russian).
[4]. Suvorova V., Mosin A.V. Determination of parameters of Rabotnov's fractional- exponential function with using integral transformation and contemporary software. M. Problemy mashinostroyeniya i avtomatizatsii, 2002, No 4, pp. 54-56 (Russian).
[5]. Suvorova J.V., Ohlson N.G., Alexeeva S.I. An approach to the description of time-dependent materials. Materials and Design. 2003, 24, pp. 293-297.

Now a day human health problem is one of the serious things in our day to day life. Generally in critical case patients are supposed to be monitored continuously for their Heart Rate, ECG, blood sugar and oxygen level as well as body temperature with the help of biosensors. The fixed monitoring system can be used only when the patient is on the bed and this system is only available in hospitals. Many times patients need to be constant or periodically monitored by clinician or family. The presented system is developed for such patients that are not in critical condition but needs to be under supervision. The designed system sends SMS to doctor or any family member if any critical condition occurs................

Key words: LCD, Heartbeat sensor, GSM module, GPS;

[1] The Institute for Health Metrics and Evaluation (IHME), Global health research center at the University of Washington, Country profile –India 2017. http://www.healthdata.org/india.
[2] D. Prabhakaran, P. Jeemon, A. Roy, Cardiovascular Diseases in India Current Epidemiology and Future Directions, Circulation, 133, 2016, 1605–1620. doi: 10.1161/circulationaha.114.008729.
[3] C. Premalatha, R.P. Keerthana, R. Abarna, Human health monitoring system, International Research Journal of Engineering and Technology (IRJET), 6(1), 2019, 914-916.
[4] D. Santhi Kumari, G. Indira Devi, Design and Implementation of Health Monitoring System by Using RFcommunication, International Journal of Emerging Trends in Science and Technology, 2(11), 2015, 3325-3328.
[5] S. Jha1, Dr. V. Natarajan, Real Time Patient Health Monitoring and Alarming Wireless Sensor Network, International Journal of Engineering Science and Computing, 6(12), 2016, 3533- 3538.

Computing the average shortest-path length of a large scale-free network needs much memory space and computation time. Hence, parallel computing must be applied. In order to solve the load-balancing problem for coarse-grained parallelization, the relationship between the computing time of a single-source shortest-path length of node and the features of node is studied. We present a dynamic programming model using the average out degree of neighboring nodes of different levels as the variable and the minimum time difference as the target. The coefficients are determined on time measurable networks................

Key words: Shortest Path, scale free Network, Secure Routing, Network Simulator.

[1]. I. Paik, T. Tanaka, H. Ohashi and W. Chen, "Big Data Infrastructure for Active Situation Awareness on Social Network Services," Big Data (BigData Congress), 2013 IEEE International Congress on. IEEE, pp. 411-412, 2013.
[2]. E. Hargittai, "Is Bigger Always Better? Potential Biases of Big Data Derived from Social Network Sites," Annals of the American Academy of Political & Social Science, vol. 659, no. 1, pp. 63-76, 2015.
[3]. Z. Fu, X. Sun, Q. Liu, L. Zhou, J. Shu, "Achieving Efficient Cloud Search Services: Multi-keyword Ranked Search over Encrypted Cloud Data Sup-porting Parallel Computing," IEICE Transactions on Communications, vol. E98-B, no. 1, pp.190-200, 2015.

Convolutional neural networks (CNNs) have achieved state-of-the-art performance for automatic medical image segmentation. However, they have not demonstrated sufficiently accurate and robust results for clinical use. In addition, they are limited by the lack of image-specific adaptation and the lack of generalizability to previously unseen object classes (a.k.a. zero-shot learning). To address these problems, we propose a novel deep learning-based interactive segmentation framework by incorporating CNNs into a bounding box and scribble-based segmentation pipeline. We propose image-specific fine-tuning to make a CNN model adaptive to a specific test image, which can be either unsupervised (without additional user interactions) or supervised (with additional scribbles). We also propose a weighted loss function considering network..........

Key words: Interactive image segmentation, convolutionalneural network, fine-tuning, fetal MRI, brain tumor.

[1]. Bühler, K., Felkel, P., La Cruz, A., 2004. Geometric methods for vessel visualization and quantification—a survey. Springer.
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[5]. Ciresan, D.C., Meier, U., Masci, J., Maria Gambardella, L., Schmidhuber, J., 2011b. Flexible, high perfor- mance convolutional neural networks for image classi- fication, in: IJCAI Proceedings-International Joint Conference on Artificial Intelligence. p.1237.

In this paper, we intend a protocol scheme for network mobility (NEMO) in ruinous scenarios assisted by cloud computing based on Ad-hoc networks. The proposed attempt tries to reduce the network burden on the mobile nodes and also minimizes the link failures during hand overs by availing cloud services while transmitting in between the nodes. This paper describes the route creation for the MANET as well as the route maintenance while maintaining the connectivity within the nodes. It also provides the proper mobility support in Ad Hoc mechanism. The introduction of cloud in MANET improves the quality and thus, attempt to achieve the level of stability.

Key words: Cloud computing, handover, NEMO.

[1]. "Number of mobile phones to exceed world population" Accessed October 2014,HTTP://www.digitaltrends.com/ mobile/mobile-phone-world-population-2014/
[2]. J.H. Christensen, "Using Restful web-services and cloud computing to create next generation mobile applications," Proceeding of the 24th conference on Object oriented programming systems languages and applications - OOPSLA '09, New York, New York, USA: ACM Press, 2009, p. 627
[3]. X. Luo, "From Augmented Reality to Augmented Computing: A Look at Cloud-Mobile Convergence," International Symposium on Ubiquitous Virtual Reality, vol. 0, 2009, pp. 29-32
[4]. I. Giurgiu, O. Riva, D. Juric, I. Krivulev, and G.Alonso, "Calling the cloud: enabling mobile phones as interfaces to cloud applications," Middleware '09: Proceedings of the 10th ACM/IFIP/USENIX International Conference on Middleware, New York, NY, USA, 2009, pp. 1-20
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The void growth as the principal mechanism inductile fracturehas attracted much attention. Based on the strain gradient elasto-plasticity, the quasi-static void growth problemis solvedwith the consideration of size effect.Numerical results show thatin the early stage, the void does not grow. After the loading has increased to a certain amount, voids begin to grow rapidly. The size effectin elastic limitfurther increases the strength of materials and the critical stress, and delays the time of the quasi-static void growth, especially for the smaller voids. Furthermore, larger scale parameter makes the scale effect more significant.

Key words: Quasi-static void growth, strain gradient, elasto-plasticity, size effect, critical stress.

[1]. Benzerga A.A. and Leblond J.B. Ductile Fracture by Void Growth to Coalescence. Advances in Applied Mechanics, 44(10), 2010, 169-305.
[2]. Wu X.Y., Ramesh K.T. and Wright T.W. The dynamic growth of a single void in a viscoplastic material under transient hydrostatic loading. Journal of the Mechanics & Physics of Solids, 51(1), 2003, 1-26.
[3]. Wu X.Y., Ramesh K.T. and Wright T.W. The coupled effects of plastic strain gradient and thermal softening on the dynamic growth of voids. International Journal of Solids & Structures, 40(24), 2003, 6633-6651.
[4]. Molinari A. and Wright T.W. A physical model for nucleation and early growth of voids in ductile materials under dynamic loading. Journal of the Mechanics & Physics of Solids, 53(7), 2005, 1476-1504.
[5]. Jacques N., Mercier S. and Molinari A. A constitutive model for porous solids taking into account microscale inertia and progressive void nucleation. Mechanics of Materials, 80, 2015, 311-323.

Wide bandgap Semiconductor plays a very vital role in the of power conditioning and microwave application. Wide bandgap semiconductor is found to be replacing silicon-based devices in the coming era because wide bandgap semiconductor has properties which are superior than silicon-based devices such as it can at operate high temperature,high voltage operation also it has bandgap of 3.4ev which is wide enough than 1.1ev bandgap of silicon.this paper basically describes virtual fabrication of GaN/AlGaN HEMT using SILVACO.It also describes the ID-VDSand ID-VGScharacteristics.HEMT is an important device for high speed,high frequency and digital circuits and microwave circuits for with low noise application.These application include telecommunication,computing and Instrumentation

Key words: GaN, High Electron Mobility Transistor, MISFET,MODFET(Modulation Doped FET),2DEG(Two Dimensional Electron Gas).

[1]. "High electron mobility (HEMT)", GyanPrakash Pal, Anuj Kumar Srivastava,volume 1 issue 1,Pg 043-046
[2]. https://www.the verge.com/2018/11/1/18051974/gallium-mitride-anker-material-silicon-semiconductor-energy, Angelachen, February 12,2019
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[4]. X. Cheng, M. Li and Y. Wang, "An Analytical Model for Current-Voltage Characteristics of AlGaN/GaN HEMTs in Presence of Self-Heating Effect," Solid-State Electronics, Vol. 54, No. 1, 2010, pp. 42-47.
[5]. Rashmi, A. Kranti, S. Haider,M. Gupta and R. S. Gupta, "An Accurate Charge Controll Model for Spontaneous and Piezoelectric Polarization Dependent Two-Dimensional Electron Gas SheetCharge Density of Lattice- Mismatched AlGaN/GaN HEMTs," Solid-State Electronics, Vol. 46, No. 5, 2002, pp. 621-630.
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Graph theory has provided chemists with a variety of useful tools, such as topological indices. A topological index Top(G) of a graph G is a number with the property that for every graph H isomorphic to G, Top(H) = Top(G). In this paper, we compute ABC index, ABC4 index, Randic index, sum connectivity index, GA index, GA5 index, first Zagreb index, second Zagreb index, first multiple Zagreb index, second multiple Zagreb index, augmented Zagreb index, harmonic index and hyper Zagreb index, first Zagreb polynomial, second Zagreb polynomial, third Zagreb polynomial, forgotten topological index, forgotten polynomial and symmetric division index of Cetirizine..

Key words: ABC index, ABC4 index, Randic connectivity index, Sum connectivity index, GA index , GA5 index, First Zagreb index, Second Zagreb index, First Multiple Zagreb index, Second Multiple Zagreb index, Augmented Zagreb index, Harmonic index, Hyper Zagreb index, First Zagreb polynomial, Second Zagreb polynomial, Third Zagreb polynomial, Forgotten topological index, Forgotten polynomial, Symmetric division index and Cetirizine.

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Cloud storage is a model of computer data storage in which the digital data is stored in logical pools. The cloud storage providers are responsible for keeping the data available and accessible, and the physical environment protected and running. Cloud storage services may be accessed through a collocated cloud computing service, a web service application programming interface (API). Recently, with the rapid development in wearable medical sensors and wireless communication, Wireless Body Area Networks (WBANs) have emerged as a promising technique that will revolutionize the way of seeking healthcare, which is often termed e-healthcare..........

Key words: Cloud computing, Cloudservices, Health care, Healthcare as a Service, Image Processing

[1]. Frost & Sullivan, 2004 Healthcare Storage Report, 2004 http://www.emc.com/collateral/analyst-reports/4_fs_wp_medical_image_sharing_021012_mc_print.pdf
[2]. Expanded Use of Imaging Technology and the Challenge of Measuring Value,‖ Health Affairs, November 2008, 27:61467-1478: http://content.healthaffairs.org/content/27/6/1467.full
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This paper aims at detecting the presence of glaucoma based on retinal nerve fibre layer thickness and visual field. To perform this data has been collected from various hospitals having numerous candidate features. These features are reduced by preprocessing and dimensionality reduction in order to remove noise.Glaucoma is characterized by dysfunction and loss of retinal ganglion cells (RGCs), with resulting structural changes to the optic nerve head, retinal nerve fiber layer (RNFL) thickness, and ganglion cell and inner plexiform layers as well as loss of the visual field.The diagnosis of glaucoma in its early stages is challenging.Diagnosis of glaucoma in myopic eyes and patients with brain diseases such as brain tumor is known to be difficult due to those eye‟s characteristic disc shape and visual field defect.........

Key words: Glaucoma, machine learning, dimensionality reduction, random forest, decision trees.

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