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Saranya, M.
- Statistical Analysis of Engine Parameter for 4-Stroke Engine for Fuel Efficiency
Abstract Views :205 |
PDF Views:4
Authors
M. Saranya
1,
A. Karthikeyan
2
Affiliations
1 VLB Janakiyammal College of Arts and Science, IN
2 RVS College of Engineering and Technology, IN
1 VLB Janakiyammal College of Arts and Science, IN
2 RVS College of Engineering and Technology, IN
Source
Automation and Autonomous Systems, Vol 7, No 7 (2015), Pagination: 186-189Abstract
The performance of engine depends on engine parts. Each parts gives the different performance in its own way. Fuel efficiency is very important for all the vehicle. Statistical data Analysis of engine parameters will result the main parameters which is give the better efficiency of the vehicle. It is most important to optimize parameter of the engine which is mainly reason for improve the fuel efficiency. In this paper present the results of a statistical analysis of selected parameters for the fuel-efficiency of the car. Statistical analysis of engine parameter has been carried out using statistical packages. For analysis purpose the existing data for various car engine specifications has been used. Based on the analysis result, prediction of important parameters of the engine parameter has been carried out.Keywords
Engine Parameter, Fuel Efficiency, Vehicle Specification, Statistical Analysis.
- Automatic Roof Garden Farming by Geospatial Sensor Web Using IOT
Abstract Views :319 |
PDF Views:3
Authors
Affiliations
1 Department of Electronics and Instrumentation Engineering, K.S.Rangasamy College of Technology, Thiruchengode, IN
1 Department of Electronics and Instrumentation Engineering, K.S.Rangasamy College of Technology, Thiruchengode, IN
Source
Automation and Autonomous Systems, Vol 9, No 6 (2017), Pagination: 108-112Abstract
This paper represents an automation of irrigation using wireless sensor network with the web interface to the user can control the system remotely. Appropriate moisture level and temperature level are necessary prerequisites for optimum plant growth. Also water is an essential element for life sustenance. Nowadays, agriculture is being developed in cities and urban areas at terrace. This system offers several technological advantages in this field. The soil moisture and temperature can be sensed by the sensors. The outputs of sensors are fed to the microcontroller (ATMEGA 328P) interface to the motor by using relay. It will automatically turned ON or turn OFF the motor when the level is high or low by using the Wi-Fi module (ESP8266). By using this system farmer will monitor the moisture level and it is more beneficial to all the people.
Keywords
Atmega328, Soil Moisture Sensor, Temperature Sensor, Esp8266 Wi-Fi Module.References
- Abbasi, Abu Zafar, Noman Islam, and Zubair Ahmed Shaikh. "A review of wireless sensors and networks' applications in agriculture." Computer Standards & Interfaces, vol. 36, pp. 263-270, 2014.
- H. Zia, N.R. Harris, and G.V. Merrett, "Water Quality Monitoring, Control and Management (WQMCM) Framework using Collaborative Wireless Sensor Networks," presented at the 11th International Conference on Hydro informatics HIC2014 New York City, 2014.
- J. Balendonck, J. Hemming, B.A.J. van Tuijl, L. Incrocci, A. Pardossi, P. Marzialetti, (2008). "Sensors and Wireless Sensor Networks for Irrigation Management under Deficit Conditions (FLOW-AID)", coordinated by Wageningen University and Research Centre in the Netherlands, 2008.
- Norocel Codreanu, Gaudentiu Varzaru, Ciprian Ionescu, “Solar Powered Wireless Multi-sensor Device for an Irrigation System”, Conference Proceedings, 37th International Spring Seminar on Electronics Technology ISSE 2014, Dresda, May 7 – 11, 2014.
- Paul Svasta, Alexandru Vasile, Ciprian Ionescu, Virgil Golumbeanu Componente electronice pasive. Condensatoare, Cavaliotti, 2010.
- R.Hussain, J.Sehgal, A.Gangwar, M.Riyag “Control of irrigation automatically by using wireless sensor network” International journal of soft computing and engineering, vol.3, issue 1, march 2013, pp.48t 324-328.
- Smarsly, K. "Agricultural ecosystem monitoring based on autonomous sensor system", Agro Geoinformatics (Agro-Geoinformatics), 2013 Page(s):402 -407.
- Soledad Escolar Díaz, Jesús Carretero Pérez, Alejandro Calderón Mateos, Maria-Cristina Marinescu, Borja Bergua Guerra, “A novel methodology for the monitoring of the agricultural production process based on wireless sensor networks,” Computers and Electronics in Agriculture , no.76, pp. 252–265, 2011.
- Springer International Publishing Switzerland 2014, Minimum Range Assignment Problem for Two Connectivity in Wireless Sensor Networks Bhawani Sankar Panda and D. Pushparaj Sethy Computer science and Application Group, Department of Mathematics,IIT Delhi.
- Y. Song, J. Wang, X. Qiao, W. Zheng, and X. Zhang,“Development of multi-functional soil temperature measuring instrument,” Journal of Agricul- tural Mechanization Research, vol. 9, no. 1, pp. 80–84, 2010.
- Zhang Feng, “Research on water-saving irrigation automatic control system based on Internet of things” IEEE, 978-1-4244-8039, November 2011
- Zhang, Xiang, Nengcheng Chen, and Zhihong Chen. "Spatial Pattern and Temporal Variation Law-Based Multi-Sensor Collaboration Method for Improving Regional Soil Moisture Monitoring Capabilities." Remote Sensing, vol. 6, pp. 12309-12333, 2014.
- Survey on Performance Analysis of Hadoop ETL for Disaster Management
Abstract Views :231 |
PDF Views:5
Authors
Affiliations
1 Department of Information Technology, Madurai Sivakasi Nadars Pioneer Meenakshi Women’s College, Poovanthi, IN
1 Department of Information Technology, Madurai Sivakasi Nadars Pioneer Meenakshi Women’s College, Poovanthi, IN
Source
Automation and Autonomous Systems, Vol 10, No 4 (2018), Pagination: 80-83Abstract
The term big data refers to data sets whose volume, variability and Speed of velocity make them difficult to capture, manage, procedure or analyzed. To examine this huge amount of data Hadoop is able to be used. Hadoop is an open source software project that enables the Spread giving out of large data sets across a cluster of creationservers.ETL Tools extract important information from various data sources, various transFormation’s of data are established out transformation phase and then load into the big data. HDFS (Hadoop Distributed File System), is a spread file system design to hold the very huge of data (peta bytes or even zetta bytes), and there high throughput Admission to this information. Map Reduce method has been calculated n this paper which is required for implement Big Data Analysis using HDFS. In this paper the related topics of Big Data Analytics, and Hadoop, ETL, Map Reduce are reviewed.
Keywords
Big Data, Hadoop, ETL, Map Reduce, HDFS.References
- Varsha B.Bobad, “International Research Journal of Engineering and Technology (IRJET)”, Volume: 03 Issue: 01
- Inmon, William "Data Mart Does Not Equal Data Warehouse".DM Review.com. (2000-07-18)
- Jeffrey R. Bocarsly, “The Data Warehouse Toolkit.” Complex ETL Testing-A Strategic Approach
- R. Kimball and M. Ross. WileyPublishing, Inc., 2002.
- “Survey of Recent Research Progress and Issues in Big Data” www.cse.wustl.edu/~jain/cse570-13/ftp/bigdata2/index.html 1/13
- Ms. Vibhavari Chavan, Prof. Rajesh. N. Phursule, ―”Survey Paper on Big Data”‖ International Journal of Computer Science and Information Technologies, Vol. 5 (6), 2014.
- Ms. Vibhavari Chavan, Prof. Rajesh. N. Phursule, ―”Survey Paper on Big Data” International Journal of Computer Science and Information Technologies, Vol. 5 (6), 2014.
- Amogh Pramod Kulkarni, Mahesh Khandewal, ―”Survey on Hadoop and Introduction to YARN”, International Journal of Emerging Technology and Advanced Engineering Website: www.ijetae.com (ISSN 2250-2459, ISO 9001:2008 Certified Journal, Volume 4, Issue 5, May 2014)
- Tekiner F. and Keane J.A., Systems, Man and Cybernetics (SMC), ―”Big Data Framework” 2013 IEEE International Conference on 13–16 Oct. 2013, 1494–1499
- Inmon, William (2000-07-18). "Data Mart Does Not Equal Data Warehouse". DMReview.com
- V. Hristidis, S. Chen, T. Li, S. Luis, and Y. Deng, "Survey of Data Management and Analysis in Disaster Situations," Journal of Systems and Software, vol. 83, no. 10, pp. 17011714, 2010
- Kuldeep Deshpande, and dr. Bhimappa desai limitations of dataware house platforms and Assessment of Hadoop as an Alternative, Volume 5, Issue 2, pp. 51-58,IJITMIS, 2014
- Saleem, K., Luis, S., Deng, Y., Chen, S.-C., Hristidis, V., Li, T., 2008. "Towards a business Continuity information network for rapid disaster recovery.” In: Proceedings of the 9th Annual International Conference on Digital Government Research, Montreal, Canada, May 18–21, pp. 107–116
- Sagiroglu, S.Sinanc, D.,‖ Big Data: A Review‖,2013, 20-24.
- Tekiner F. and Keane J.A., Systems, Man and Cybernetics (SMC), ―”Big Data Framework”‖ 2013 IEEE International Conference on 13–16 Oct. 2013, 1494–1499
- S.Vikram Phaneendra & E.Madhusudhan Reddy “Big Data-solutions for RDBMS problems-
- A survey” In 12th IEEE/IFIP Network Operations & Management Symposium (NOMS 2010) (Osaka, Japan, Apr 19{23 2013).
- Senthi Vadivel Bhupatthi Rav” Disaster Management: A Global Issue” International journal of civil and structural engineering Volume 1, No 1, 2010
- Wang, F. Hadoop High Availability through Metadata Replication. ACM (2009).
- Vibhavari Chavan et al, / (IJCSIT) International Journal of Computer Science and Information Technologies, Vol. 5 (6) , 2014, 7932-7939