With the implementation of data sourcing and other cloud services in real time environment, it describes efficient data transmission between different users parallel in distributed environment. Security or privacy is also important factor in data different users data sharing so that efficient and advanced cryptography system is required to do privacy for data from multiple users in cloud computing. Attribute based encryption is one of the basic advanced encryption system to provide efficient privacy between multiple users in distributed environment. Cipher text policy based attributed based encryption (CP-ABE) and Deffie- Hellman is one of the advanced secure approach proposed in this paper to multi user data sharing in distributed environment. In this scenario reduce the computational cost overhead in data sharing and other features in distributed environment. Performance evaluation of proposed approach describes efficient results in terms of encryption, decryption and other specification in cloud computing environment.

Keywords: Attribute based encryption, Cipher text policy based encryption, distributed computing,

[1]. [1] B. Xu et al., "Ubiquitous data accessing method in IoT-based information system for emergency medical services", IEEE Trans. Ind. Informat., vol. 10, no. 2, pp. 1578-1586, May 2014
[2]. [2] M. B. Mollah, M. A. K. Azad, A. Vasilakos, "Secure data sharing and searching at the edge of cloud-assisted Internet of Things", IEEE Cloud Comput., vol. 4, no. 1, pp. 34-42, Jan./Feb. 2017
[3]. [3] A. Castiglione, K.-K. R. Choo, M. Nappi, S. Ricciardi, "Context aware ubiquitous biometrics in edge of military things", IEEE Cloud Comput., vol. 4, no. 6, pp. 16-20, Nov./Dec. 2017
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[6]. no. 9, 2014, pp. 2107–2119.

Composites are the material of two or more distinct components on macro scale with different properties to form a new material with a property that is entirely different from the individual constituents. The primary phase of a composite material is called a matrix having a continuous character. In other words, matrix is a material which acts as a binder and holds the fibers in the desired position thereby transferring the external load to reinforcement. These matrixes are considered to be less hard and more ductile. The composite material consists of a matrix along with a fiber with some filler material. The reinforced material can be either synthetic or natural fibers. (Bentur et al., 2006)........

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The port is a gateway for entry into an area or country and as a connecting infrastructure among regions, islands and even between countries, continents and nations. Bajoe Port is a ferry port that accommodates loading and unloading activities and is a strategic stop point for shipping goods. This study aims to analyze the port user perceptions of Bajoe port performance. This research is quantitative descriptive, while the port development strategy analysis is done using SWOT analysis. The results of the Community Satisfaction Survey (CSS) show that Bajoe port has a quality that is in the "good" category. The development strategy that needs to be done is; 1) Technical audit of ships and facilities at the port, 2). Training for human resources handling port performance issues, and 3) Detailed implementation of ship management as a follow up to Law Number 17 of 2008 and strict application of the Decree of the Director-General of Sea Transportation concerned.

Keywords:Ferriage, satisfaction, performance, development, Bajoe.

[1]. Haryoko, Sapto and Iskandar, 2008. Educational and Social Research Methodology (Quantitative and Qualitative). Gedung Persada Press. Jakarta
[2]. Irawan, Handi, 2002. 10 Principles of Customer Satisfaction. Elax Media. Jakarta
[3]. Maudi, R. B Nyoman, 2015. Harbor Planning and Marine Coast Building Construction Planning. Meaning of Poundation: Denpasar
[4]. Republic of Indonesia Government Regulation Number 61 Year 2009. Port.
[5]. Rangkuty, Freddy, 2006. Measuring Techniques and Strategies to Increase Satisfaction. Customer. Gramedia Main Library. Jakarta

This research aims to implement a better solution to the bore-well accidents. The challenges involved in rescue operations are nature of rock, depth and diameter of bore-well, incident site condition and so on. The use of aerial vehicles (unmanned) is ideal for the rescue effort. Using drones the crew can better react and respond to emergencies. Even though they cannot directly rescue or save people, drones are the crucial first step in locating someone and making all the efforts to save them. This drone is supported by Grove oxygen sensor, Motion sensor, Camera, LED lights and Umbrella tool technique. This helps in planning and developing a rescue strategy. The time for the rescue operation is effectively saved.

Keywords:Unmanned Aerial Vehicle, sensors.

[1]. "Standard operation procedure on bore well incidents."
[2]. M. Borski, D. Del Testa, D. Dworakowski, B. Firner, B. Flepp, P. Goyal, L. D. Jackel, M. Monfort, U. Muller, J. Zhang, et al. End to end learning for self-driving cars. arXiv preprint arXiv:1604.07316, 2016.
[3]. Y. Zhu, R. Mottaghi, E. Kolve, J. J. Lim, A. Gupta, L. Fei-Fei, and A. Farhadi. Target-driven visual navigation in Indoor scenes using deep reinforcement learning. In Robotics and Automation (ICRA), 2017 IEEE International Conference on, pages 3357–3364. IEEE, 2017.
[4]. Palwinder Kaur, Ravinder Kaur, Gurpreet Singh,"Pipelines Inspection and Borewell Rescue Robots" IJRET eISSN:2319-1163 | pISSN:2321-7308
[5]. Rajarathnam D.R.P, Lakshmi Raj Thilak R, Rithvik K, Vignesh G, Mohamed Marsook Hameed SH," Borewell rescue robots", 2018 IJMRET paper ISSN:2456-5628

In this paper desining simulation and modelling of PV/windhybrid system is presented to meet grid characteristics. The system is designed using PV station and wind farm that are integrated with five- level CHB MLI. The CHB MLI converts the dc output of wind and solar system into AC which can easily integrated with the grid. The wind and solar system utilizes maximum power point algorithm to extract maximum power during variable environmental conditions. At solar side a DC-DC boost converter is also connected to regulate the solar DC output. A wind generator is designed using permanent magnet synchronous generator. The system has been tested for various operating conditions like variable wind speed and solar radiations and the at all variations the PCC voltage is always constant which is the design consideration of the proposed work. This shows the effectiveness of the designed hybrid system..

Keywords:...

[1]. Noureldeen, O., & Ibrahim, A. M. (2018, February). Modeling, implementation and performance analysis of a grid-connected photovoltaic/wind hybrid power system. In 2018 International Conference on Innovative Trends in Computer Engineering (ITCE) (pp. 296-304). IEEE.
[2]. H. Laabidi and A. Mami, (2015). Grid connected Wind-Photovoltaic hybrid system. 2015 5th International Youth Conference on Energy (IYCE),pp. 1-8.
[3]. A. B. Oskouei, M. R. Banaei, and M. Sabahi, (2016). Hybrid PV/wind systemwith quinary asymmetric inverter without increasing DC-link number. Ain Shams Engineering Journal, vol. 7, pp. 579-592.
[4]. R. Benadli and A. Sellami, (2014).Sliding mode control of a photovoltaic-windhybrid system. 2014 International Conference on Electrical Sciencesand Technologies in Maghreb (CISTEM), pp. 1-8.
[5]. A. Parida and D. Chatterjee, (2016). Cogeneration topology for wind energyconversion system using doubly- fed induction generator. IET PowerElectronics, vol. 9, pp. 1406-1415.

Reinforcement learning (RL) can be subdivided into two fundamental problems: learning and planning. The goal of learning is for an agent to improve its policy from its interactions with the world. Thegoalofplanningisforanagenttoimproveitspolicywithoutfurtherinteractionwiththe world. The agent can deliberate, reason, ponder, think or search, so as to find the best behavior in the available computation time.Despite the apparent differences between these two problems, they are intimately related. During learning, the agent interacts with the real world, by executing actions and observing their consequences. During planning the agent can interact with a model of the world: by simulating actions andobserving theirconsequences. Inbothcasestheagentupdatesitspolicyfromitsexperience. Our thesis is that an agent can both learn and plan effectively using reinforcement learning algorithms.

[1]. GolnazVakili ;SiavashKhorsandi," Self-Organized Cooperation Policy Setting in P2P Systems Based on Reinforcement Learning", IEEE Systems Journal , Volume: 7 , Issue: 1 , March 2013.
[2]. Sanjoy Das ; Sayak Bose ; Siddharth Pal ; Noel N. Schulz ; Caterina M. Scoglio ; BalaNatarajan, "Dynamic reconfiguration of shipboard power systems using reinforcement learning", IEEE Transactions on Power Systems, Volume: 28 , Issue: 2 , May 2013.
[3]. Chunlin Chen ; Daoyi Dong ; Han-Xiong Li ; Jian Chu ; Tzyh-Jong Tarn, "Fidelity-Based Probabilistic Q-Learning for Control of Quantum Systems", IEEE Transactions on Neural Networks and Learning Systems, Volume: 25 , Issue: 5 , May 2014.
[4]. Kei Senda ; Suguru Hattori ; Toru Hishinuma ; TakehisaKohda "Acceleration of Reinforcement Learning by Policy Evaluation Using Nonstationary Iterative Method", IEEE Transactions on Cybernetics, Volume: 44 , Issue: 12 , Dec. 2014.
[5]. GianluigiMongillo ;HananShteingart ; Yonatan Loewenstein, "The Misbehavior of Reinforcement Learning", Proceedings of the IEEE , Volume: 102 , Issue: 4 , April 2014.

Currently, the Internet of Things isn't the second Internet rather it's the network of devices that tend to be linked to the Internet that can be used each and every day to search Google, add images as well as link with friends. it's the network of Products that tend to be linked to the Internet, therefore they have their personal IP address and may link to every other to automate easy tasks. With regard to the Io T to be completely recognized just about all devices require being capable to link to every other, irrespective of exactly what company manufactured the Product or even that businesses have business relationships with every other. Within case of smart greeting card, there tend to be security factors that tend to be particular to smart credit cards as well as that require to be used into accounts when developing the safe smart card-based application.

Keywords:IOT, Smart Cards, Security Threat, Cryptographic Chip Architecture.

[1]. Ghosh, Shirsha, et al. "Swing-Pay: One Card Meets All User Payment and Identity Needs: A Digital Card Module using NFC and Biometric Authentication for Peer-to-Peer Payment." IEEE Consumer Electronics Magazine 6.1 (2017): 82-93.
[2]. Bakshi, Sana Zeba, et al. "Wireless E-Passport Using Smart Card Technology." (2017).
[3]. Hussain, S. Mahaboob, Prathyusha Kanakam, and A. S. N. Chakravarthy. "Inhibiting Cognitive Bias in Forensic Investigation Using DNA Smart Card with IOT." International Journal of Control Theory and Applications 10.14 (2017): 251-255.
[4]. ]Xiao, Juan, Juan Wub, and Donglai Xua. "Implementation of a secure USIM COS architecture for mobile payment applications." Proc. of SPIE Vol. Vol. 10322. 2017.
[5]. Felser, M. "Profinet Communication Card For The Cern Cryogenics Crate Electronics Instrumentation." (2017).

Sufficient conditions for oscillations of third order non-linear neutral delay differential equations of the form..........

Keywords:Oscillation, Third order, Neutral Differential equation.

[1]. R. P. Agarwal, S. R. Grace, and D. O'Regan, Oscillation theory for difference and functional differential equations, Kluwer Acad. Publ., Dordrecht (2000).
[2]. M. Bartušek, Z. Došlá, Oscillation of fourth order sub-linear differential equations, Applied Mathematics Letters 36(2014),36–39. url.
[3]. Bazighifan, O. Oscillatory behavior of higher-order delay differential equations. Gen. Lett. Math. 2017, 2, 105–110.
[4]. B. Bacul´ıkova and J. D´ zurina, "Oscillation of third-order functional diˇ fferential equations," Electronic Journal of Qualitative Theory of Differential Equations, vol. 43, pp. 1–10, 2010.
[5]. B. Bacul´ıkova and J. D ´ zurina, "Oscillation of third-order neutral diˇ fferential equations," Mathematical and Computer Modelling, vol. 52, no. 1-2, pp. 215–226, 2010.

The objective of the study was to estimate the amount of organic carbon that the soil can retain in tropical agroecosystems dedicated to the production of corn, cocoa; and a secondary tropical forest of El Oro province, Ecuador. The research was conducted in the experimental area of the Faculty of Agricultural Sciences, Technical University of Machala. In each agroecosystem, a permanent georeferenced sampling point was established, where three minicalicatas were opened to take soil samples at three depths (0-15, 15-30 and 30-45 cm). The sequestration of carbon by the soil varies depending on the crop used, where corn is grown, less quantity is retained than where perennial crops exist (cocoa and forest); Therefore, the higher the tillage frequency, the less carbon retention on the ground. In the three agroecosystems studied, the content of OCTS decreases as the depth increases. As a consequence of excess tillage, the soil sand content of the corn area is higher than in the cocoa and forest agroecosystems. In the 0-15 cm surface layer, the organic matter content is greater than 3% in the soil where cocoa is grown and greater than 4% in the forest area, however, the light and thick fractions of organic carbon from the soil presented statistically different values in the agroecosystems studied. Keywords: agroecosystem, organic soil carbon, thick fraction, light fraction.

[1]. Carreira, D. (2004). Carbono orgánico (Método de Walkley & Black). Ciencias Ambientales, 4.
[2]. Eiza, M. J., Fioriti, N., Studdert, G. A., & Echeverría, H. E. (2005). Fracciones de carbono orgánico en la capa arable: Efecto de los sistemas de cultivo y de la fertilización nitrogenada. Ciencia Del Suelo, 23(1), 59–67.
[3]. Ferrer, J., & Centrales, L. (2016). Fraccionamiento físico de la materia orgánica del suelo bajo diferentes usos en la Colonia Tovar , (August).
[4]. Figuera V., K., Lozano P., Z., & Rivero, C. (2011). Caracterización de diferentes fracciones de la materia orgánica de tres suelos agrícolas venezolanos. Venesuelos, 13(1), 34–46.
[5]. Holdridge, L. R. (1967). Life zone ecology. Tropical Science Center, 206. https://doi.org/Via 10.1046/j.1365-2699.1999.00329.x

The increasing use of the Global Navigation Satellite System (GNSS) particularly the United States NAVSTAR Global Positioning System (GPS) has brought about the need to obtain accurate geoid model locally or globally to enable the ease of obtaining orthometric heights from the ellipsoidal heights from GPS. This phenomenon is a critical spatial infrastructure which serves as reference surface required to model terrain characteristics and monitoring of changes on the earth or near-earth surfaces. A lot of engineering activities are going on in Rivers State of Nigeria in Delta Region including the need to monitor hazards which require accurate orthometric heights because of the nature of the terrain. The aim of this work is to determine a local geometric geoid for Rivers State, Nigeria............

Keywords:Global Navigation Satellite System, Global Positioning System, Geoid, Gravsoft, Ellipsoid Heights, Root Mean Square Error)

[1]. Alade, Azeez K. (2017) Local Geoid Determination using GPS/Levelling: Prospect for a National Geodetic Infrastructure. Nigeria Journal of Geodesy vol 1(1), pp 217-231
[2]. Alcon Survey, (2009)‟Report on Mapping of Rivers State Submitted to GPHCDA‟
[3]. Bernhand Holfmann-Wellenhof, Helmut Moritz "Physical Geodesy‟ Second Edition 2005
[4]. Erol, B., Çelik, R. N., (2004) "Precise Local Geoid Determination to Make GPS Technique more Effective inPractical Applications of Geodesy", FIG Working Week 2004,22-27 May, Athens, Greece
[5]. Dagogo M.J. Fubara, Francis A. Fajemirokun, Christian U. Ezeigbo (2014) "Fundamentals of Geodesy‟ Concept Publication limited Lagos