Archive

Abstract:

This paper presents an inventory model for deteriorating items with a constant rate of deterioration and the demand rate is flexible which depends on the price, stock as well as the reliability of the products. This model allowing the shortage under inflation, and delay in payment is also taken into account. We consider situation of the credit period is less than or greater than the cycle time for settling the account. Numerical example is given for different cases and sensitivity analysis is carried out to analyze the effect of the parameters on the optimal solution.

Keywords:

Deterioration,Reliability,Credit period,Inflation,Delay payment,

Refference:

I.A. Guria, B. Das, S. Mondal and M. Maiti,“Inventory policy for an item with inflation induced purchasing price, selling price and demand with immediate part payment”, Applied Mathematical Modelling, 37 (1-2), 240-257, 2013.

II.BenkheroufL., Z.T. Balkhi, “On an inventory model for deteriorating items and time-varying demand”, Mathematical Methods of Operations Research, 45(2), 221-233, 1997.

III.C.J. Chung and H.M. Wee, “Scheduling and replenishment plan for an integrated deteriorating inventory model with stock dependent selling rate”, International Journal of Advanced Management Technology, 35 (7-8), 665-679, 2008.

IV.C.K. Jaggi, P.K. Kapur, S.K. Goyal and S.K. Goel,”Optimalreplenishment and credit policy in EOQ model under two-levels of trade credit policy when demand is influenced by credit period”, International Journal of System Assurance Engineering and Management, 3(4), 352-359, 2012.

V.E.A. Elsayed and C. Teresi, “Analysis of inventory systems with deteriorating items”, International Journal of Production research, 21(4), 449-460, 1983.

VI.G. Janakiram, S. Sridhar, J.G. Shanthikumar, “A comparison of the optimal costs of two canonical inventory systems”, Operations Research, 55(5), 866-875, 2007.

VII.G.A. Widyadana and H.M. Wee, “Optimal deteriorating items production inventory models with random machine breakdown and stochastic repair time”,Applied Mathematical Modelling, 35, 3495-3508, 2011.

VIII.G.S. Mahapatra, T.K. Mandal and G.P. Samanta, “A production inventory model with fuzzy coefficients using parametric geometric programming approach”, International Journal of Machine Learning and Cybernetics, 2(2), 99-105, 2011.

IX.G.S. Mahapatra, T.K. Mandal and G.P. Samanta, “Fuzzy parametric geometric programming with application in fuzzy EPQ model under flexibility and reliability consideration”, Journal of Information and Computing Science, 7(3), 223-234, 2012.

X.G.S. Mahapatra, T.K. Mandal and G.P. Samanta, “An EPQ model with imprecise space constraint based on intuitionistic fuzzy optimization technique”, Journal of Multiple-Valued Logic and Soft Computing, 19(5-6), 409-423, 2012.

XI.G.S. Mahapatra, T.K. Mandal and G.P. Samanta, “EPQ model with fuzzy coefficient of objective and constraint via parametric geometric programming”, International Journal of Operational Research, 17(4), 436-448, 2013.

XII.G.S. Mahapatra, S. Adak, T.K. Mandal and S. Pal, “Inventory model for deteriorating items with time and reliability dependent demand and partial backorder”, International Journal of Operational Research, 29 (3), 344-359, 2017.

XIII.H.C. Liao, C.H. Tsai and C.T. Su, “An inventory model with deteriorating items under inflation when delay in payment is permissible”, International Journal of Production Economics, 63, 207-214, 2000.

XIV.H.J. Chang and C.Y. Dye, “An EOQ model for deteriorating items with time vary demand and partial backlogging”, Journal of Operational Research Society, 50, 1176-1182, 2001.

XV.H.M. Wee and S.T. Law, “Replenishment and pricing policy for deteriorating items taking into account the time value of money”, International Journal of Production Economics, 71, 213-220, 2001.

XVI.N.H.Shah and H. Soni, “A Multi-Object Production Inventory Model with Backorder for Fuzzy Random Demand Under Flexibility and Reliability”,Journal of Mathematical Modelling and Algorithms, 10 (4), 341-356, 2011.

XVII.K.J. Chung and C.N. Lin, “Optimal inventory replenishment models for deteriorating items taking account of time discounting”, Computer and Operations Research, 28, 67-83, 2001.XVIII.K.J. Chung and P.S. Ting, “A heuristic for replenishment for deteriorating items with a linear trend in demand”, Journal of Operational Research Society, 44, 1235-1241, 1993.

XIX.K.L. Hou, “An inventory model for deteriorating items with stock-dependent consumption rate and shortage under inflation and time discounting”,European Journal of Operational research, 168, 463-474, 2006.

XX.J.J. Liao and K.N. Huang, “An inventory model for deteriorating items with two levels of trade credit taking account of time discounting”, Acta Application Mathematics, 110(1), 313-326, 2010.

XXI.J.M. Chen, “An EOQ model for deteriorating items withtime-proportional demand and shortages under inflation and time discounting”, International Journal of Production Economics, 55, 21-30, 1998.

XXII.J. Sicilia, L.A. San-Jose and J. Garcia-Laguna, “An inventory model where backordered demand ratio is exponentially decreasing with the waiting time”, Annals of operations research, 19 (1), 137-155, 2012.

XXIII.P.K. Tripathy, W.M.Wee and P.R. Majhi, “An EOQ model with process reliability consideration”, Journal of Operational Research Society, 54, 549-554, 2003.

XXIV.R.B. Misra, “Optimum production lot size model for a system with deteriorating inventory”, International Journal of Production Research, 13, 495-505, 1975.

XXV.R.I. Levin, C.P. McLaughlin, R.P. Lamone and J.F. Kottas, “Production/Operations Management: Contemporary Policy for Managing Operating System”, McGraw-Hill, New York.

XXVI.S. Khanra, S.K. Ghosh and K.S. Chaudhuri,”An EOQ model for a deteriorating item with time dependent quadratic demand rate under permissible delay in payment”, Applied Mathematics and Computation, 218, 1-9, 2011.

XXVII.S. Pal, A. Goswami and K.S. Chaudhuri, “A deterministic inventory model for deteriorating items with stock dependent demand rate”, International Journal of Production Economics, 32, 291-99, 1993.

XXVIII.S. Pal, G.S. Mahapatra and G.P. Samanta, “An EPQ model of ramp type demand withWeibull deterioration under inflation and finite horizon in crisp and fuzzy environment”, International Journal of Production Economics, 156, 159-166, 2014.

XXIX.S. Pal, G.S. Mahapatra and G.P. Samanta, “An Inventory Model of Price and Stock dependent Demand Rate with Deterioration under Inflation and Delay in payment”, International Journal of System Assurance Engineering and Management, 5(4), 591-601, 2014.

XXX.S. Pal, G.S. Mahapatra and G.P. Samanta, “A production inventory model for deteriorating item with ramp type demand allowing inflation and shortages under fuzziness”, Economic Modelling, 46, 334-345, 2015.

XXXI.S. Pal, G.S. Mahapatra, G.P. Samanta, “A Three-Layer Supply Chain EPQ Model for Price-and Stock-Dependent Stochastic Demand with Imperfect Item Under Rework”, Journal of Uncertainty Analysis and Applications, 4 (1), 10, 2016.

XXXII.S. Pal, and G.S. Mahapatra, “A manufacturing-oriented supply chain model for imperfect quality with inspection errors, stochastic demand under rework and shortages”, Computers & Industrial Engineering, 106, 299-314, 2017.

XXXIII.S.H. Kim, M.A. Cohen and S. Netessine, “Performance contracting in after-sales service supply chains”, Management Science, 53 (12), 1843-1858, 2007.

XXXIV.S.K. Goyal, “EOQ under conditions of permissible delay in payments”, Journal of Operation Research Society, 36, 335-338, 1985.

XXXV.S.K. Manna, K.S. Chaudhuri, “An EOQ model with ramp type demand rate time dependent deterioration rate, unit production cost and shortage”, European Journal of Operational research, 171, 557-566, 2006.

XXXVI.S.S. Sana and K.S. Chaudhuri, “A deterministic EOQ model with delays in payments and price discount offers”, European Journal of Operational research, 184, 509-533, 2008.

XXXVII.T. Jin and H. Liao,“Spare parts inventory control considering stochastic growth of an installed base”, Computers & Industrial Engineering, 56 (1), 452-460, 2009.

XXXVIII.T. Roy and K.S. Chaudhuri,“An EPLS model for a variable production rate with stock-pricesensitive demand and deterioration”,Yugoslav Journalof Operations Research, 21, 1-13, 2011.

XXXIX.T.K. Datta, A.K. Pal, “Deterministic inventory system for deteriorating items with inventory level-dependent demand rate and shortages”, Opsearch, 27, 213.224, 1990.

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Abstract:

There are different classes of the graph generation. Node is one of the important parts in graph which is associated with the metric space. The elements of the set are placed very close to each other. These elements are similar to each other having minor or unobservable difference. Hence, it is difficult to find them in a given set in several of applications. The application area finds at many branches like multimedia, computer science and pattern reorganization. Here, we are focused on metric space and its prediction. Also, we have discussed some methods with some examples and the view of all known proposals to organize metric spaces. There are a large number of solutions are available. The notations of a random metric space and tried to prove that space was isometric. The study is focused on universal and random distance matrices. The properties of universal metric space with the properties of distance metric were correlated. Latent metric was also considered. This review includes the different scenarios of metric space with the basic concepts and mathematical formulae.

Keywords:

Random objects,Random prediction,Metric space,Space theory,

Refference:

I.A. M. Vershik. “Random metric spaces and universality”.math. Rt,St. Petersburg Department of Steklov Institute of Mathematics (2004).

II.Arzhantseva G., Delzant T.,“Examples Of Random Groups”. 1-30 (2008).

III.Bartini P. O. di “Consider some total and hence unique copy of A.” Soviet Math. Dokl., vol. 163, no. 4, p. 861–864 (1965).

IV.Biau G and Scornet E, “A Random Forest Guided Tour”arXiv: 1511. 0574 [math.ST] (2015).

V.Caruana R, Niculescu-Mizil A, “Data Mining in Metric Space: An Empirical Analysis ofSupervised Learning Performance Criteria” KDD; DOI:10.1145/1014052-1014063,(2004).

VI.Edgar Chavez, Gonzalo Navarro, Recardo and Josh ,“Searching in metric spaces”Journal of Experimental Algorithmics (JEA), 16, Article No. 1.1 (2011).

VII.Sarkar P,Chakrabarti D, Moore AW,“Theoretical Justification of Popular Link Prediction Heuristics”IJCAI 201, Proceedings of the 22ndInternational Joint Conference on Artificial Intelligence, pp 2722-2727, Barcelona,Catalonia,Spain 16-22 (2011).

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Abstract:

Induction training program plays vital role for all new mathematics teachers who are recruited. It helps them to increase efficacy level to adhere to the educational life and facilitate the organization with effective performance. This study is the part of wider research to help to investigate evaluation of induction training program for mathematics teachers with the main objective of predicting future modality of professional development on the bases of induction training process. 150 participants, who experienced for induction training program, were selected for this study. These 150 teachers were having vast experience and background in mathematics and statistics. The data were gathered through questionnaire and observation to explore the approaches of induction program for development and its effectiveness. Data were analyzed through statistical techniques of t-test, correlation, ANOVA and regression. The analysis showed significant effect of induction training program on teachers’ development as whole. Induction training program found positive relation with professionalism and strongly predict the professional development of educational organization.

Keywords:

Induction Program,Professional Development,Training of Teachers,Future Modality,

Refference:

I. Bush, T. &Middlewood, D., (2005), “Leading and Managing People in Education”. Great Britain: SAGE Publications.

II. Chidambaram, V., Ramachandran, A., Thevar, S.S., (2013), “Study On Efficacy Of Induction Training Programme In Indian Railways Using Factor Analysis”, Verslas: Teorijairpraktika Business: Theory and Practice, Issn 1648-0627 print / Issn 1822-4202.

III. Davey, G., (2004), “Complete Psychology”,Dubai: Book Point Ltd. Hyman, Flanagan, & Smith. (1982). The Hand Book of SchoolPsychology. New York: John Wiley & Sons.

IV. Fideler, E., &Haselkorn, D., (1999), “Learning The Rope: Urban Teachers Induction Program And Practices In The United States”, Belmont, MA: Recruiting New teachersV. Golrick, L., (2002), “Issue Brief: Improving Teacher Evaluation To Improve Teacher Quality”. New York: NGA Center for Best Practices.

V. Hassel, E., (1999), “ProfessionalDevelopment: Learning From The Best”, Oak Brook, IL: North Central Regional Educational Laboratory.

VII. Hendricks, K., &Potgieter, J. L., (2012), “A Theory Evaluation Of An Induction Programme”,SA Journal Of Human Resource Management/SA TydskrifVirMenslikehulpbronbestuur, 10(3), Art. #421, 9 pages. http://dx.doi.org/10.4102/ sajhrm.v10i3.421.

VIII. Ingersoll, R., & Strong, M., (2011), “The Impact Of Induction And Mentoring Programs Fro Beginning Teachers: A Critical Review Of The Research.”Review of Education Research. Vol. 81(2), 201-233. doi: 10.3102/0034654311403323.

IX. Klein, H.J., & Weaver, N.A., (2000), “The Effectiveness Of An Organizational Level Orientation Training Program In The Socialization Of New Hires”. JournalOf Personnel Psychology, 53, 47–66. http://dx.doi.org/10.1111/j.1744-6570.2000.tb00193.x.

X. Lisa, A., Lim, Y.L, Lew,M.D.N., & Chew, A., (2013), “Impact Of An Intensive Professional Induction Programme OnTeacher Self-Efficacy & Approach To Teaching”,Joint 7th SELF Biennial International Conference and ERAS Conference, Singapore 2013.

XI. Marriam, S.B., (2001), “Andragogy And Self‐Directed Learning: Pillars Of Adult Learning Theory”. New Directions For Adult And Continuing Education, 2001 (89), 3-14.

XII. Moscato, D., (2005), “Using Technology To Get Employees Onboard. Human Resources” Magazine, April, 107–109.

XIII. Olivia, P.F., and Pawlas, G.E., (1997), “Supervision for Today’sSchools”, 5th ed., Longman, New York, NY.

XIV. Peterson, D.A., (1990), “A History Of The Education Of Older Learners. Introduction To Educational”, Gerontology, 1-21.

XV. Rossi, P., Lipsey, M.W., & Freeman, H.E., (2004), “Evaluation.A Systematic Approach”.(7th edn.). Thousand Oaks: Sage.

XVI. Ruhela S.P.,and Singh R.P., (1990), “Trends in Modern IndianEducation”, Uppal Publishing House: New Delhi 395–(1990)XVII. Shulman, L.S., (1987), “Knowledge and teaching: Foundationsof theNew Reform”. Harvard Educational Review. 57(1), 1-22.

XVIII. Smaldino, Sharon E., Lowther, Deborah L., Russel, James D. (2008),“Instructional Technology and Media for Learning”.Pearson Merrill/Prentice Hall.

XIX. Smith Thomas, M., & Ingersoll Richard, M., (2004), “What Are TheEffects Of Induction And Mentoring On Beginning TeachersTurnover?”, American Educational Research Journal. Fall 2004, Vol41, No.3, pp. 681-714.

XX. Wesson, M.J., &Gogus, C.I., (2005), “Shaking Hands With AComputer: An Examination Of Two Methods Of OrganizationalNewcomer Orientation”. Journal of Applied Psychology, 90(5), 10181026. http://dx.doi.org/10.1037/0021-9010.90.5.1018, PMid:16162074.

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Abstract:

Data plays a major role in today's Internet world.Analyzing historical data became easy due to advancement of analytical tools. Gathering data from social networking websites is a great challenge for today's data scientists. Many advancements and research has been conducted to gather streaming data(data generated every second) .Hadoop has provided acomponent called Apache Flume to ingest data into HDFS for processing using MapReduce. It has its own benefits,which made many analysis easy for social networking data,but Apache Flume requires a depthknowledge on configuration files and administration. Our work proposes a framework for real-time data streaming of Twitter data. Apache spark which is an enhancement of Hadoop in terms of speed and faster processing provides much more insight than Apache flume.Spark is an in-memory distributed computing engine to increase processing speed over MapReduce, Spark is considered one of the most advanced ecosystem component for Batch and near-real time processing. We in our paper are explaining in detail about data ingestion using Apache Spark and Scala IDE. In our work the data will be directly ingested from Twitter website through tokens and access keys provided,which will be explained in chapter 3,4. Our GUI can also help a user to tweet into Twitter directly without moving on to Twitter website. We have also provided an option to categorize tweet of specific persons using '#' tags.The data thus obtained can be used for statistical analysis and generating reports.

Keywords:

Apache Spark,Big Data,Flume,Hadoop,Map Reduce,Twitter data ingestion,

Refference:

I.Altti Ilari Maarala, Mika Rautiainen, Miikka Salmi, Susanna Pirttikangas and Jukka Riekki”, Low latency analytics for streaming traffic data with Apache Spark” IEEE InternationalConference on Big Data (2015).

II.Anand Gupta, Hardeo Kumar Thakur ” A Big Data Analysis Framework Using Apache Spark and Deep Learning”, IEEE International Conference on Data Mining Workshops (2017).

III.Babak Yadranjiaghdam, Seyedfaraz Yasrobi, Nasseh Tabrizi “Developing a Real-time Data Analytics Framework For Twitter Streaming Data”,IEEE 6th International Congress on Big Data (2017).

IV.Hassan Nazeer, Waheed Iqbal, Fawaz Bokhari, Shuja Ur Rehman Baig ” Real-time Text Analytics Pipeline UsingOpen-source Big Data Tools”,arXiv:1712.04344, Dec(2017).

V.Marouane Birjalia, Abderrahim Beni-Hssane, Mohammed Erritali “Analyzing Social Media through Big Data using InfoSphere BigInsights and Apache Flume “, The 8th International Conference on Emerging Ubiquitous Systems and Pervasive Networks Elsevier (2017).

VI.Ramkrushna C. Maheshwar, D. Haritha “Survey on High Performance Analytics ofBigdata with Apache Spark”,International Conference on Advanced Communication Control and Computing Technologies (ICACCCT) (2016).VII.Sangeeta “Twitter Data Analysis Using FLUME & HIVE on Hadoop Framework”,Special Issue on International Journal of Recent Advances in Engineering & Technology (IJRAET) V-4 I-2February (2016).

VIII.S. Cha and M. Wachowicz. “Developing a real-time data analytics framework using Hadoop”,IEEE International Congress on Big Data June (2015)

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Abstract:

The Blindness is frequently used to describe severe visual deterioration with or without residual vision. According to WHO (World Health Organisation) 30Million people are blind. In India only 6.8 Million people are blind, 46.2 Million people have low vision and 5.3Million people are visually diminished. There is a great dependency for any type of movement or walking within area or out of the particular area, they use only their natural senses such as touch or sound for identification. To gift a simplified and independent life for blind person, this project proposed which is light weight , compact , cost efficient and easy to handle.

Keywords:

ArduinoUNO,Ultrasonic sensor,Fire sensor,Rain sensor, Blind Stick,

Refference:

I.AlbertoRodriguez, et al., “Obstacle avoidance system for assisting visually impaired people”, in proceeding IEEE Intelligent Vehicles Symposium Workshop, 2012.

II.Alshbatat, Abdel Ilah Nour.”Auto1nated Mobility and Orientation System for Blind or Partially.”INTERNATIONAL JOURNAL ON SMART SENSING AND INTELLIGENT SYSTEMS, 568-582, 2013.

III.C.S. Kher, Y.A. Dabhade, S.K Kadam., S.D. Dhamdhere and A.V. Deshpande “An Intelligent Walking Stick for the Blind.” International Journal of Engineering Research and General Science, vol. 3, number 1, pp. 1057-1062, 2015.

IV.Dambhara, S. & Sakhara, A., 2011. Smart stick for Blind: Obstacle Detection, Artificial vision and Real-time assistance via GPS. International Journal of Computer Applications® (IJCA).

V.Mahdi Safaa A , Muhsin Asaad H. and Al-Mosawi Ali I.”Using Ultrasonic Sensor fo Blind and Deaf persons combines Voice.”International Science Congress Association, 50-52,2012.

VI.Mohammad Hazzaz, et al., “Smart Walking Stick-an electronic approach to assist visually disable persons”, International Journal of Scientific & Engineering Research vol. 4, No. 10, 2013.

VII.Nandhini. N, Vinoth Chakkaravarthy.G , G.Deepa Priya,”Talking Assistance about Location Finding”, International Journal of Innovative Research in Science, Engineering and Technology, Vol. 3, Issue 2, February 2014.

VIII.Shinohara, K. ―Designing assistive technology for blind users‖ In Proceedings of the 8th International ACM SIGACCESS conference on Computers and accessibility, ACM, 293–294, 2006.

IX.S.Sai Santhosh,T. Sasiprabha,R.Jeberson,.”BLI-NAV 1Emmbedded Navigation System for Blind People.”IEEE,277-282,2010.

X.Sung Jae Kang, et al.” Development of an Intelligent Guide-Stick for the Blind”, Proceeding of the IEEE international Conference on Robotics & Automation, 2001.

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Abstract:

Grid stations get generated power from power stations that are ordinarily far; continuous consumption or use of electric power has expanded in most recent couple of years. Transmission system is the system by methods for which power is transmitted from place of generation to the consumers. Overhead wires or conductors are the medium used for transmission of power. These wires are visible to wind, heat and ice. The efficiency of the power system increases if the losses of these overhead wires are minimal. These losses are based on the resistive, magnetic and capacitive nature of the conductor. It is necessary to create or make proper design of these conductors accompanied by proper installation. To balance the working and strength of overhead transmission line and to minimize its capacitive effect the conductors must be installed in catenary shape. The sag is required in transmission line for conductor suspension. The conductors are appended between two overhead towers with ideal estimation of sag. It is because of keeping conductor safety from inordinate tension. To permit safe tension in the conductor, conductors are not completely extended; rather they are allowed to have sag. For equal level supports this paper provides sag and tension estimation with two different cases under maximum operating temperature 45 °C. To calculate sag-tension estimation of ACSR (Aluminum Conductor Steel Reinforced) overhead lines twoe different cases are provided with no and high wind speed effects. Four different span lengths are taken for same level supports. ETAP (Electrical Transient and Analysis Program) is used for simulation setup. The results shows that wind effect has great impact upon line tension and with addition of wind speed the sag of line remains same while tension altered.

Keywords:

ACSR,Span,Sag,Tension,

Refference:

I.Oluwajobi F. I., Ale O. S. and Ariyanninuola A (2012). Effect of Sag on Transmission Line. Journal of Emerging Trends in Engineering and Applied Sciences (JETEAS) 3 (4): 627-630 © Scholar link Research Institute Journals, (ISSN: 2141-7016).

II.Sag-Tension Calculation Methods for Overhead Lines (2007). CIGRE B2-12 Brochure (Ref. No. 324) pp. 31-43.

III.T. O. Seppa,“Factors influencing the accuracy of high temperature sag calculations,” IEEE Transactions on Power Delivery, vol. 9, no. 2, pp.1079-1089, April 2003.

IV.V.K. Mehta and Rohit Mehta (2014). Principles Power System. S. Chand and Company Pvt. Ltd. Ram Nagar New Delhi.

V.Kopsidas, Konstantinos and Simon M. Rowland, “A Performance Analysis of Reconductoring an Overhead Line Structure,” IEEE Transactions on Power Delivery, 2009.

VI.Chaudhari Tushar, Jaynarayan Maheshwari and Co. „Design and Reconductoring of A 400 K.V Transmission Line And Analysis on ETAP‟. International Journal of Engineering Research and Development (IJERD) ISSN: 2278-067X Recent trends in Electrical and Electronics & Communication Engineering (RTEECE 17th –18th April 2015).

VII.I. Albizu, A. J. Mazon, and E. Fernandez (2011). “A method for the Sag-tension, calculation in electrical overhead lines. International Review of Electrical Engineering, volume 6, No. 3 pp. 1380-1389.

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Abstract:

As beam steering antennas are being an ideal solution for many satellite applications, this paper is concerned on the design of a 16-element linear array antenna, using an RT Duroid substrate at 20.2 GHz for Ka-Band satellite communications. The design is initiated with single element and thereby incremented in steps to 2, 4, 8 and 16 elements. An optimum inter element spacing of 0.73λ is considered for the purpose of fulfilling the desired scanning requirement. Performance analysis of the proposed antenna is analyzed mainly in terms of Relative Side Lobe level (RSLL) and Beam steering. To synthesize the antenna, weights of the antenna are considered according to Taylor’s amplitude distribution along the antenna aperture to attain a relative side lobe level of -25dB. The proposed 16-element linear array antenna achieved a maximum gain of 19.5dB and the main beam direction can be switched up to 50o (±25o) without introduction any grating lobes. In addition to, other relevant antenna parameters such as reflection coefficient, VSWR, gain and efficiency of single, 2, 4, 8 and 16 element antennas are compared. The proposed linear array antenna is designed using Ansoft HFSS.

Keywords:

Linear array antenna, Beam steering, Relative Side Lobe Level,Ka-Band,Satellite Communication Links, Taylor’s Amplitude distribution,

Refference:

I.A. Mehta, D.M. Syahkal, “Pattern steerable square loop antenna”. Electronics Letters., 43 (2007) 491-493.

II.Bondarik, Alexander, S. Daniel, “Pattern reconfigurable wideband stacked microstrip patch antenna for 60 GHz band”. International Journal of Antennas and Propagation., (2016).

III.Daly, P. Michael, T. B. Jennifer, “Beamsteering in pattern reconfigurable arrays using directional modulation”. IEEE Transactions on Antennas and Propagation., 58 (2010) 2259-2265.

IV.Li, Zhouyuan, A. Elsayed, E. Ahmed, M. Eltawil, B. A. Cetiner, “A beam-steering reconfigurable antenna for WLAN applications”. IEEE Transactions on Antennas and Propagation., 63 (2015) 24-32.

V.Nair, S. V. Shynu, M. J. Ammann, “Reconfigurable antenna with elevation and azimuth beam switching”. IEEE Antennas and Wireless Propagation Letters., 9 (2010) 367-370.

VI.Nor, M. Nuramirah, M. H. Jamaluddin, M. R. Kamarudin, M. Khalily, “Rectangular dielectric resonator antenna array for 28 GHz applications”. Progress In Electromagnetics Research., 63 (2016), 53-61.

VII.Pal, Arpan, A. Mehta, D. M. Syahkal, P. Deo, H. Nakano, “Dual-band low-profile capacitively coupled beam-steerable square-loop antenna”. IEEE Transactions on Antennas and Propagation., 62 (2014) 1204-1211.

VIII.Qin, Pei-Yuan, Y. J. Guo, C. Ding, “A beam switching quasi-Yagi dipole antenna”. IEEE Transactions on Antennas and Propagation., 61 (2013) 4891-4899.

IX.R. Guzmán-Quirós, A. R. Weily, J. L. Gómez-Tornero, Y. J. Guo, “A Fabry–Pérot antenna with two-dimensional electronic beam scanning”. IEEE Transactions on Antennasand Propagation., 64 (2016) 1536-1541.

X.Sabapathy, Thennarasan, F. Mohd, R. Jamlos, B. Ahmad, J. Muzammil, I. Mohd, M. R. Kamarudin, “Electronically reconfigurable beam steering antenna using embedded RF PIN based parasitic arrays (ERPPA)”. Progress In Electromagnetics Research., 140 (2013) 241-262.

XI.S. F. Maharimi, M. F. Abdul Malek, M. F. Jamlos, S. C. Neoh, M. Jusoh, “Impact of spacing and number of elements on array factor”. In PIERS Proceedings, Kuala Lumpur, MALAYSIA., (2012) 1550-1553.

XII.Suárez, Sara, G. L. Fernandez, M. Arrebola, L. F. H. Ontanon, F. L. H Andres, “Experimental validation of linear aperiodic array for grating lobe suppression”. Progress In Electromagnetics Research., 26 (2012) 193-203.

XIII.Tekkouk, Karim, H. Jiro, S. Ronan, E. Mauro, S. Makoto, A. Makoto, “Dual-layer ridged waveguide slot array fed by a Butler matrix with sidelobe control in the 60-GHz band”. IEEE Transactions on Antennas and Propagation., 63 (2015) 3857-3867.

XIV.Topak; Eray, Jürgen Hasch, Christoph Wagner, Thomas Zwick. “Anovel millimeter-wave dual-fed phased array for beam steering”. IEEE Transactions on Microwave Theory and Techniques., 61 (2013), 3140-3147.

XV.V. K. Kothapudi, V. Kumar, “Design of 0.73 λ inter-element spacing linear array for 0.43 GHz P/UHF-band tropospheric radar wind profiler”. In Synthetic Aperture Radar (APSAR), 2015 IEEE 5th Asia-Pacific Conference (2015) 277-282.

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Abstract:

In this paper, we explore the existence and uniqueness of positive solutions for the following nonlinear fourth order ordinary differential equation        (4) u t  f t,u t , t a, b , withthe following arbitrary two-point boundary conditions: ua  ub  ua  ub  0, where, a, b are two arbitrary constants satisfying b  0, a 1 b and f Ca,b0,,0,.Here we also demonstrate that under certain assumptions the above boundary value problem exist a unique symmetric positive solution. The analysis of this paper is based on a fixed point theorem in partially ordered metric spaces due to Amini-Harandi and Emami. The results of this paper generalize the results of several authors in literature. Finally, we provide some illustrative examples to support our analytic proof.

Keywords:

Arbitrary two-pointboundary conditions,Nonlinear fourthorder ordinary differential equation,Unique symmetric positive solutions,Fixed point theorem,

Refference:

I.A. Cabada, J.A. Cid, and L. Sanchez, Positivity andlower and upper solutions for fourth order boundary value problems,Nonl.Anal.67(5) (2007) 1599–1612.http://DOI: 10.1016/j.na.2006.08.002.

II.A. Amini-Harandi and H. Emami, A fixed point theorem for contraction type maps in partially ordered metric spaces and application to ordinary differential equations,Nonl.Anal.72(5) (2010) 2238–2242.http://DOI: 10.1016/j.na.2009.10.023.

III.C. Zhai, R. Song, Q. Han, The existence and the uniqueness of symmetric positive solutions for a fourth-order boundary value problem, Com. Math. Appl., 62 (2011) 2639-2647.https://doi.org/10.1016/j.camwa.2011.08.003.

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VII.H. Li, L. Wang, M. Pei, Solvability of a Fourth-Order Boundary Value Problem with Integral Boundary Conditions, J. Appl. Math., Hind. Publ. Corp., Volume 2013, Article ID 782363, 7 pages.http://dx.doi.org/10.1155/2013/782363.

VIII.J. Caballero, J. Harjani, K. Sadarangani, Uniqueness of Positive Solutions for a Class of Fourth-Order Boundary Value Problems, Abst. Appl. Anal, Hind. Publ. Corp.Vol. 2011, Art. ID 543035, 13 pages, http://doi:10.1155/2011/543035.

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Abstract:

In the present internet world, Security is a prime vital concern and the secure hash function is one of the ideal alternative means to guarantee security. In this paper we made a study on different nonlinear dynamical systems – Chaotic maps and introduced a novel hash scheme based on integrated chaotic maps. The experimental outcomes shows that the proposed model satisfies all cryptographic properties of secure hash functions such as resistant to collisions, high level of sensitivity to initial conditions, high confusion and diffusion, high randomization etc. The suggested model is fast and accurate in terms of speed and security is concern. In this model, multiple chaotic maps are integrated as a single chaotic system to generate an n-bit digest value, where the length of digest is flexible in terms of security is concern.

Keywords:

Access Control,Authentication,Chaotic Maps,Complex Chaotic Maps,Integrity,

Refference:

I.A Kanso , H. Yahyaoui b, M. Almulla, “Keyed hash function based on a chaotic map”,Information Sciences 186 (2012) 249–264, Elsevier.

II.A Kanso, M. Ghebleh, “A fast and efficient chaos-based keyed hash function”, Commun Nonlinear Sci Numer Simulat 18 (2013) 109–123, Elsevier.

III.B Madhuravani, Dr. D.S.R. Murthy, “An Efficient Authentication Protocol to amplify collision resistance using Dynamic Cryptographic Hash Function & LSB Hop based Image Steganographic Technique”, International Journal of Applied Engineering Research, Volume 11, Number 7 PgNos: 5293-5296.(2016), ISSN 0973-4562.

IV.B Madhuravani, Dr. D.S.R. Murthy, “A NOVEL NODE INTEGRITY BASED AUTHENTICATION MODEL FOR DYNAMIC WIRELESS COMMUNCATION NETWORKS”, Journal of Advanced Research in Dynamical and Control Systems, ISSN: 1943-023X Issue: 12-Special Issue, (2017), Pages: 1145-1169.

V.Dean RD. Formal Aspects of Mobile Code Security. PhD thesis, Princeton University; (1999).

VI.Di Xiao a,b,, Xiaofeng Liao a, Shaojiang Deng , “Parallel keyed hash function construction based on chaotic maps”, Physics Letters A 372 (2008) 4682–4688, Elsevier.

VII.Di Xiao a, Xiaofeng Liao a, Yong Wanga,‟Improving the security of a parallel keyed hash function based on chaotic maps”, Physics Letters A 373 (2009) 4346–4353, Elsevier.

VIII.Joux A. Multicollisions in iterated hash functions. In: CRYPTO‟04, LNCS, vol. 3152; (2004). p. 306–16.

IX.Meysam Asgari Chenaghlu ∗, Shahram Jamali, Narjes Nikzad Khasmakhi,” A novel keyed parallel hashing scheme based on a new chaotic system”, Chaos, Solitons and Fractals 87 (2016) 216–225.

X.N. Chandra Sekhar Reddy, Dr. Purna Chandra Rao Vemuri, Dr. A. Govardhan, Ch. Vijay, “An empirical study on feature extraction techniques for Intrusion Detection system”, Journal of Advanced Research in Dynamicaland Control Systems, ISSN: 1943-023X Issue: 12-Special Issue, (2017),Pages: 1118-1130.

XI.NIST, Secure hash standard (SHS), federal information processing standards 180; (1993).

XII.NIST, secure hash standard (SHS), federal information processing standards 180-1; (1995).

XIII.NIST, secure hash standard (SHS), federal information processing standards 180-2; (2002).

XIV.Rivest R. The MD4 message digest algorithm. In: CRYPTO‟90, LNCS, vol. 537; 1991. p. 303–11.

XV.Rivest R. The MD5 message digest algorithm, request for comments (RFC) 1321. Internet engineering task force; (1992).

XVI.Shaojiang Deng, Yantao Li *, Di Xiao, «Analysis and improvement of a chaos-based Hash function construction”, Commun Nonlinear Sci Numer Simulat 15 (2010) 1338–1347, Elsevier.

XVII.Tian-Fu Lee, Efficient three-party authenticated key agreements based on Chebyshev chaotic map-based Diffie–Hellman assumption, Nonlinear Dynamics ,2014, vol 10,pp 23-43.

XVIII.Yantao Li ,Di Xiao, Parallel chaotic Hash function construction based on cellular neural network, Neural Comput & Applic (2012) 21:1563–1573.

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Abstract:

Mathematical treatment for numbers and arrays in the field of functional analysis need special interest. In the present paper, we will focus on a new alternative approach of greedy summation approach of unordered numbers and arrays. A theoretical background is firstly presentedregarding the numbers and arrays and their importance in the field of functional analysis, then the alternative approach for the greedy summation based on absolute values is presented. Some theoretical proofs regarding the relation between theoretical greedy summation and the Dirichlet series is presented in brief details. At the end of the present paper, some important conclusions are listed due to their importance and their effect for the upcoming research works.

Keywords:

Numbers,Arrays,unordered sum,Numerical arrays,Greedy sum of numbers,Greedy sum of arrays,convergence of series,Dirichlet series of array,

Refference:

I.E. V. Shchepin, Summation of Unordered Arrays, Functional Analysis and Its Applications, Vol. 52, No. 1, pp. 35–44, 2018.

II.G. H. Hardy, M. RieszThe general theory of Dirichlet’s series, Cambridge University Press, London, 1915.

III.M. Ruzhansky and D. Suragan, Adv. Math., Vol. 308, pp.483–528; http://arxiv.org/abs/1512.02547, 2017.

IV.M. Ruzhansky and D. Suragan, Proc. Amer. Math. Soc., Vol. 144, No. 2, pp. 709–721, 2016.

V.M. Ruzhansky and V. Turunen, Pseudo-Differential Operators and Symmetries, Background Analysis and Advanced Topics, Pseudo-Differential Operators, Theory and Applications, vol. 2, Basel, 2010.

VI.R. Graham, D. Knuth, and O. Patashnik, Concrete Mathematics: A Foundation of Computer Science, Addison-Wesley, Boston, 1994.

VII.S. V. Konyagin and V. N. Temlyakov, Convergence of greedy approximations I. General systems, Studia Math., Vol. 159, No.1, pp. 143-160, 2003.

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Abstract:

Portable water is a gift of God, which is used by human beings both for domestic and industrial purposes, but when it is polluted by certain reasons it become useless and adversely effects human health, aquatic life and threats the ground water. There are many sources of water pollution and Industrial pollution is one major source and concern for today’s world because toxic substances and chemicals used as raw products in industries is being discharged as residual to the water bodies if not treated. The HIE is no exception, where different industries are indiscriminately releasing their untreated effluents to open nallah, which ultimately makes its way into river Kabul while passing through urban and rural areas of Peshawar. The river Kabul water is widely used for irrigation purposes and is affecting the human and marine life because of the untreated toxic effluents. The study deals with the estimation and characterization of pollutions load discharged by the HIE and possible solutions to control these effluents at source i.e. at individual industrial level or at a Combined Effluent Treatment Plant (CETP). The study concluded that toxic effluents with high BOD, COD and TSS along with number of other heavy metals are released untreated. These effluents cannot be treated at source due to high cost and non-availability of land in existing developed industries. Also it is not advisable to install individual treatment plants due to lack of technical knowhow and high maintenance costs. The solution for this is to install a CETP at a suitable location on common benefit and maintenance cost mechanism.

Keywords:

Industrial estate, Combined Effluent Treatment Plant,Human health,Healthy Environment,

Refference:

I.Anonymous. 2001: The NEWS International, 2001.Water Quality Assessment.

II.Ali, A., H.N. Hashmi, I.A. Querashi and S. Athar, 2009: „Treatment feasibilityof NSSC pulpingeffluent using UASB reactor,‟ HYDRO Nepal: Journal ofWater, Energy and Environment(Kathmandu) 5:57-60.

III.Chillers, J. and A. Henrik. 1996: Effect of contaminated water. Global WaterHazards. Pp 25:25-27.

IV.IUCN. 1996: Sarhad Provincial ConservationStrategy Document: A report ofIUCN.

V.Industrial Estate Peshawar. Pakistan Journalof Agriculture Sciences 2: 457461.VI.Khan, S. and M. Noor. 2002: Investigationof pollutants in wastewater ofHayatabad

VII. Pak-EPA, 1999: EnvironmentalTechnology Programme for Industries (DraftEnvironmental Report), Islamabad: Environmental Protection Agency,Pakistan.

VIII. Panayotou, Theodore, 1994:Economic Instruments for EnvironmentalManagement andSustainableDevelopment, UNEP Environmental EconomicsSeries Paper No.16, Nairobi: UNEnvironment Program, Environment andEconomicsUnit.

IX. Shivkumar, K. and G. Biksham. 1995: Statistical approach for the assessmentof water pollutionaround industrial area. Environ Monitoringand Assessment36: 229-249.

X. Steel, E.W., 1995:Water Supply and Sewerage (6th ed.), London: McGraw Hill

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Abstract:

Nanotechnology has enticed a good attention in boosting base fluid such as crude oil. A mathematical model is investigated to study MHD Carreau crude oil based nanofluids. Analysis over stretching sheet surface is illustrated that include consideration of nanoparticles shape with high (E1=5.0) and low (E1=0.0) electric field. Depending on nanoparticle shape, deferent expects of nanofluids flow such that the shapes as (sphere, cylinder, lamina) to boost the heat and mass transfer. Employing convenient self-similar transformation, the set of partial differential equation converted to dimensionless system. These equations has numerically solution by apply Runge-Kutta Fehlberg form plus so-called shooting technique and solving algebraically in Maple 18. Effect of relevant parameters on all concerned profile are incurred to examine the heat and mass transfer properties. For thermal radiation and heat generation parameters the profiles are on negative worth of temperature, is seen in the out of boundary region all these physical behaviours are due to the combined effects of the viscosity and density of the crude oil. The result obtained that heat generation, Brownian motion and magnetic field hit a dominant role on  Al₂ O₃ Crude Oil. The investigation revealed that there is no important role for nanoparticle shapes on Al₂ O₃ Crude Oil.

Keywords:

MHD Carreau mode,crude oil-AL2O3,nanoparticle shapes,

Refference:

I.B. M’hamed,N. A. C. Sidik, M. N. A. W. M. Yazid, R. Mamat, G. Najafi, and G. H. R. Kefayati, ―A review on why researchers apply external magnetic field on nanofluids,‖ Int. Commun. Heat Mass Transf., vol. 78, pp. 60–67, 2016.

II.B. A. Suleimanov, F. S. Ismailov, and E. F. Veliyev, ―Nanofluid for enhanced oil recovery,‖ J. Pet. Sci. Eng., vol. 78, no. 2, pp. 431–437, 2011.

III.C. Negin, S. Ali, and Q. Xie, ―Application of nanotechnology for enhancing oil recovery–A review,‖ Petroleum, vol. 2, no. 4, pp. 324–333, 2016.

IV.D. Han, W. F. He, and F. Z. Asif, ―Experimental study of heat transfer enhancement using nanofluid in double tube heat exchanger,‖ Energy Procedia, vol. 142, pp. 2547–2553, 2017.

V.E. A. Taborda, C. A. Franco, S. H. Lopera, V. Alvarado, and F. B. Cortés, ―Effect of nanoparticles/nanofluids on the rheology of heavy crude oil and its mobility on porous media at reservoir conditions,‖ Fuel, vol. 184, pp. 222–232, 2016.

VI.J. Taheri-Shakib, A. Shekarifard, and H. Naderi, ―Heavy crude oil upgrading using nanoparticlesby applying electromagnetic technique,‖ Fuel, vol. 232, pp. 704–711, 2018.

VII.J. Y. Jang, M. M. Khonsari, and S. Bair, ―On the elastohydrodynamic analysis of shear-thinning fluids,‖ in Proceedings of the Royal Society of London A: Mathematical, Physical andEngineering Sciences, 2007, vol. 463, no. 2088, pp. 3271–3290.

VIII.M. Khan and A. Hafeez, ―A review on slip-flow and heat transfer performance of nanofluids from a permeable shrinking surface with thermal radiation: dual solutions,‖ Chem. Eng. Sci., vol. 173, pp. 1–11, 2017.

IX.M. Khan, ―A revised model to analyze the heat and mass transfer mechanisms in the flow of Carreau nanofluids,‖ Int. J. Heat Mass Transf., vol. 103, pp. 291–297, 2016.

X.M. Khan, M. Y. Malik, T. Salahuddin, and I. Khan, ―Numerical modelingof Carreau fluid due to variable thicked surface,‖ Results Phys., vol. 7, pp. 2384–2390, 2017.

XI.M. Azam, M. Khan, and A. S. Alshomrani, ―Effects of magnetic field and partial slip on unsteady axisymmetric flow of Carreau nanofluid over a radially stretching surface,‖ Results Phys., vol. 7, pp. 2671–2682, 2017.

XII.M. Khan, M. Y. Malik, and T. Salahuddin, ―Heat generation and solar radiation effects on Carreau nanofluid over a stretching sheet with variable thickness: Using coefficients improved by Cash and Carp,‖ Results Phys., vol. 7, pp. 2512–2519, 2017.

XIII.N. A. Ogolo, O. A. Olafuyi, and M. O. Onyekonwu, ―Enhanced oil recovery using nanoparticles,‖ in SPE Saudi Arabia section technical symposium and exhibition, 2012.

XIV.N. S. Akbar, S. Nadeem, R. U. Haq, and Z.H. Khan, ―Numerical solutions of Magnetohydrodynamic boundary layer flow of tangent hyperbolic fluid towards a stretching sheet,‖ Indian J. Phys., vol. 87, no. 11, pp. 1121–1124, 2013.

XV.N. Krishnan and B. S. Kumar, ―INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY REVIEW ON SHELL AND TUBE HEAT EXCHANGER USING NANOFLUIDS.‖

XVI.N. S. Akbar, S. Nadeem, R. U. Haq, and Z. H. Khan, ―Radiation effects on MHD stagnation point flow of nano fluid towards a stretching surface with convective boundary condition,‖ chinese J. Aeronaut., vol. 26, no. 6, pp. 1389–1397, 2013.

XVII.R. Tao and X. Xu, ―Reducing the viscosity of crude oil by pulsed electric or magnetic field,‖ Energy & fuels, vol. 20, no. 5, pp. 2046–2051, 2006.

XVIII.R. Kandasamy, N. A. bt Adnan, and R. Mohammad, ―Nanoparticle shape effects on squeezed MHD flow of water based Cu, Al2O3 and SWCNTs over a porous sensor surface,‖ Alexandria Eng. J., 2017.

XIX.R. Mohammad and R. Kandasamy, ―Nanoparticle shapes on electric and magnetic force in water, ethylene glycol and engine oil based Cu, Al2O3 and SWCNTs,‖ J. Mol. Liq., vol. 237, pp. 54–64, 2017.

XX.R. Dharmalingam, R. Kandasamy, and K. K. Sivagnana Prabhu, ―Lorentz forces and nanoparticle shape on water based Cu, Al2O3 and SWCNTs,‖ J. Mol. Liq., vol. 231, pp.663–672, 2017.

XXI.S. K. Das, S. U. S. Choi, and H. E. Patel, ―Heat transfer in nanofluids—a review,‖ Heat Transf. Eng., vol. 27, no. 10, pp. 3–19, 2006.

XXII.S. Z. Heris, M. N. Esfahany, and S. G. Etemad, ―Experimental investigation of convective heat transfer of Al2O3/water nanofluid in circular tube,‖ Int. J. Heat Fluid Flow, vol. 28, no. 2, pp. 203–210, 2007.

XXIII.T. Hayat, S. Asad, M. Mustafa, and A. Alsaedi, ―Boundary layer flow of Carreau fluid over a convectively heated stretching sheet,‖ Appl. Math. Comput.,vol. 246, pp. 12–22, 2014.

XXIV.T. Hayat, M. Z. Kiyani, I. Ahmad, and B. Ahmad, ―On analysis of magneto Maxwell nano-material by surface with variable thickness,‖ Int. J. Mech. Sci., vol. 131, pp. 1016–1025, 2017.

XXV.T. Fang, J. Zhang, and Y. Zhong, ―Boundary layer flow over a stretching sheet with variable thickness,‖ Appl. Math. Comput., vol. 218, no. 13, pp. 7241–7252, 2012.

XXVI.W. A. Khan and I. Pop, ―Boundary-layer flow of a nanofluid past a stretching sheet,‖ Int. J. Heat Mass Transf., vol. 53, no. 11–12, pp.2477–2483, 2010.

XXVII.W. Ibrahim, ―Magnetohydrodynamic (MHD) boundary layer stagnation point flow and heat transfer of a nanofluid past a stretching sheet with melting,‖ Propuls. Power Res., vol. 6, no. 3, pp. 214–222, 2017.

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