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Dev, Harsh
- Android Based Home-Automation using Microcontroller
Abstract Views :189 |
PDF Views:4
Authors
Affiliations
1 Pranveer Singh Institute of Technology, kanpur, IN
2 Department of Computer Science and Engineering, Pranveer Singh Institute of Technology, Kanpur, IN
1 Pranveer Singh Institute of Technology, kanpur, IN
2 Department of Computer Science and Engineering, Pranveer Singh Institute of Technology, Kanpur, IN
Source
International Journal of Advanced Networking and Applications, Vol 10, No 1 (2018), Pagination: 3724-3727Abstract
Due to the availability of complicated devices in industry, models for consumers at lower cost of resources are developed. Home Automation systems have been developed by several researchers. The limitations of home automation includes complexity in architecture, higher costs of the equipment, interface inflexibility. In this paper as we have proposed, the working protocol of PIC 16F72 technology is which is secure, cost efficient, flexible that leads to the development of efficient home automation systems. The system is operational to control various home appliances like fans, Bulbs, Tube light. The following paper describes about components used and working of all components connected. The home automation system makes use of Android app entitled “Home App” which gives flexibility and easy to use GUI.Keywords
Android Application, BC547 Transistor, PIC Microcontroller, Relays.Full Text
References
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- https://hacktronics.co.in/microcontrollers/pic16f72iso-microchip-8-bit-pic-microcontroller
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- Er. Vikram Puri, Real time smart home automation based on PIC microcontroller, bluetooth and android technology, International Conference on Computing for Sustainable Global Development (INDIACom), pp. 1478-1484, 2016.
- Features Exploration of Distinct Load Balancing Algorithms in Cloud Computing Environment
Abstract Views :147 |
PDF Views:0
Authors
Affiliations
1 UTU, Dehradoon, IN
2 SGT University, Gurugram, IN
3 Quantum University, Roorkee, IN
4 PSIT, Kanpur, IN
1 UTU, Dehradoon, IN
2 SGT University, Gurugram, IN
3 Quantum University, Roorkee, IN
4 PSIT, Kanpur, IN
Source
International Journal of Advanced Networking and Applications, Vol 11, No 1 (2019), Pagination: 4177-4183Abstract
The delivery of Cloud computing is a method for delivering information /services in which resources are retrieved from the Internet through web-based tools and applications, as opposed to a direct connection to a server rather than keeping files on a proprietary hard drive or local storage device. We have studied a lot of algorithm for reducing the response time of load balancing algorithm in cloud computing environment. We also measured the execution time of different algorithms. In this paper we will compare execution time, processing time of data center, response time of various algorithms.Full Text
References
- Nguyen Xuan Phi, Cao Trung Tin, Luu Nguyen Ky Thu and Tran Cong Hung, ‘”Proposed Load Balancing Algorithm to Reduce Response Time and Processing Time On Cloud Computing”, International Journal of Computer Networks & Communications (IJCNC), 2018
- Gurasis Singh, Kamalpreet Kaur, “An Improved Weighted Least Connection Scheduling Algorithm for Load Balancing in Web Cluster Systems”, International Research Journal of Engineering and Technology (IRJET), p-ISSN: 2395-0072, 2018.
- Violetta N. Volkova, Liudmila V. Chernenkaya, Elena N. Desyatirikova, Moussa Hajali, Almothana Khodar, Alkaadi Osama, “Load Balancing in Cloud Computing” IEEE, 2018.
- Devika Singh1, Ashish Vashisht, “An Improved Regulated Load Balancing Approach for Cloud Computing Environment”, International Journal of Research in Advent Technology, E-ISSN: 2321-9637, 2018,
- Sambit Kumar Mishra, Md Akram Khan, Bibhudatta Sahoo, Deepak Puthal, Mohammad S. Obaidat and KF Hsiao, “Time efficient dynamic threshold-based load balancing technique for Cloud Computing” IEEE International Conference on Computer, Information and Telecommunication Systems (CITS) , Dalian, China, 21-23 July 2017.
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- Sobhan Omranian-Khorasani and Mahmoud Naghibzadeh, “Deadline Constrained Load Balancing Level Based Workflow Scheduling for Cost Optimization”, IEEE International Conference on Computational Intelligence and Applications, Beijing, China 8-11 Sept 2017.
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- Monika Kushwaha, Saurabh Gupta, “Various Schemes of Load Balancing in Distributed Systems- A Review”, International Journal of Scientific Research Engineering & Technology (IJSRET), ISSN 2278 – 0882, Issue 7, J2015.
- Kumar Nishant, Pratik Sharma, Vishal Krishna, Chhavi Gupta and Kuwar Pratap Singh, Nitin and Ravi Rastogi,“LoadBalancingofNodesinCloudUsingA nt colonyOptimization”,International Conference on Modelling and Simulation, 2012.
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- Anna Levina, Dean Lorenza, Giovanni Merlinob,Alfonso Panarellob, Antonio Puliafitob, Giuseppe Tricomib,”Hierarchical Load Balancing as a service for federated Cloud networks”, Computer communications (2018), doi:10.1016/j.comcom.2018.07.031.