IJET -Volume 4, Issue 4 , July - Aug 2018
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21 |
Performance Evaluation of Detection Process of Emotions from Speech Signal According to Various Parameters - Komal Rajvanshi, Dr. Ajay Khunteta
Abstract
This journal aims to know the process of COBIT 5, the capability, and mapping those processes with ISO Structure. The need for identification processes are due to the change of corporate objective which in turn triger the development of new work program. Using goal cascade method and survey resulting processes such as five domain processes of EDM with three of the EDM�s capability are level 2 and level 1 for others. With GAP analysis identified a gap between the current capability and the target level of the company�s capability. Keyword: COBIT 5, IT Governance, ISO 27001:2013. × 
Komal Rajvanshi, Dr. Ajay Khunteta"Performance Evaluation of Detection Process of Emotions from Speech Signal According to Various Parameters" Volume 4 - Issue 4 (158-162) - July- August 2018, International Journal of Engineering and Techniques (IJET),ISSN:2395-1303 , www.ijetjournal.org × |
IJET-V4I4P21 |
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22 |
Design and Fabrication of Wide Dual-Band Normal Mode Helical Antenna - Fatemeh Geran Gharakhili
Abstract
In this paper, a wide dual-band non-uniform Normal Mode Helical (NMHA) is presented at UHF band. Two non-uniform NMHAs with different diameters that nested each other are used for increasing wideband. The proposed method can be lead to design wideband antenna and dual-band antenna with small frequency ratio. A sample antenna has been simulated and fabricated. Simulation results are shown that 7.6% and 9.95% fractional bandwidth (FBW) have obtained at center frequencies of 462 MHz and 905 MHz, respectively. There is a good agreement between simulation and measurement results. Keyword: Dual-band, Nested non-uniform Normal Mode Helical (NMHA). ×
Fatemeh Geran Gharakhili"Design and Fabrication of Wide Dual-Band Normal Mode Helical Antenna" Volume 4 - Issue 4 (163-168) - July- August 2018, International Journal of Engineering and Techniques (IJET),ISSN:2395-1303 , www.ijetjournal.org × |
IJET-V4I4P22 |
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23 |
Load Forecasting Using Back Propagation Algorithm - Manish Kumar Singla, Jyoti Gupta
Abstract
The key role of load forecasting is the power system energy management system. Load forecasting helps to diminish the production cost, spinning reserve capacity and enhance the reliability of the power system. Load forecasting is tremendously essential for financial institutions, power suppliers and other participants in electric energy market i.e. transmission, generation and distribution. The economic allotment of generation is a vital purpose of short term load forecasting. This paper presents a solution methodology using an artificial neural network for short term load forecasting. The inputs using for forecasting the load, i.e. Dry bulb temperature, Dew point temperature, humidity and load data. The load data is taken from the 66kv substation, Bhai Roopa, Bathinda and weather data from weather stations �IMD� Pune. The data are taken from the year 2015 and 2016. The back propagation algorithm has been implemented to minimize the error function derived on the basis of computed load and actual load. The effectiveness is also checked through its implemented under the MATLAB environment. Keyword: component; Short term load forecasting, Back Propagation, Temperature, Humidity, Neural Network. ×
Manish Kumar Singla, Jyoti Gupta"Load Forecasting Using Back Propagation Algorithm" Volume 4 - Issue 4 (169-175) - July- August 2018, International Journal of Engineering and Techniques (IJET),ISSN:2395-1303 , www.ijetjournal.org × |
IJET-V4I4P23 |
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24 |
Monpaas: An Adaptive Monitoring Platform As A Service For Cloud Computing Infrastructures And Services - P.Karthik, V.Revathi
Abstract
In this paper process some cloud based on pre process architecture addressed to the cloud contributor and the cloud patrons. This architecture offers a search Service to each cloud consumer that allows customizing the visit process. The cloud contributor sees a complete overview of the infrastructure whereas the cloud consumer this is skilful by means of an adaptive distributed visit automatically deploy in the cloud transportation. This architecture. In intensive experimental estimate of performance and scalability have been done using a real deployment of a cloud computing infrastructure in which more than some process have been executed. Keyword: GPL, MONPAAS, NOS, SERVER, CLOUD. ×
P.Karthik, V.Revathi"Monpaas: An Adaptive Monitoring Platform As A Service For Cloud Computing Infrastructures And Services" Volume 4 - Issue 4 (176-178) - July- August 2018, International Journal of Engineering and Techniques (IJET),ISSN:2395-1303 , www.ijetjournal.org × |
IJET-V4I4P24 |
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25 |
Big-Data Analysis For Weather Forecasting And Predcition For Scalability Reports- S.Roja
Abstract
In this paper deliver to some weather Climate change will increase the defenselessness of agricultural production systems, unless scientists and farmers reorient their now some approaches toward making them climate smart or climate resilient. can really increase rate agricultural research and modernism for typical weather Smart Agriculture Three levels at which big data can enhance farmer field level and perform e knowledge for the perform of temperature smart agriculture are identified developing a extrapolative capability to factor climate change effects to scales related to undeveloped perform, speeding up plant propagation for elevated output and climate resilience, and delivery of made to order and real time farm knowledge for higher productivity, climate change adaptation and mitigation. The big data based approaches at each of the some levels are assessing. In this paper also classify the explore and big data in research and modernization aimed at climate smart agriculture in India that identify the report last some years weather report and some critical conditions reports and still and what are the defects collects data from the satellite and sends to the different base station and finally stores in the National Climatic Data Centre report specify output of result consists of, least amount temperature, greatest temperature, number of hot days and cold days and also predict future weather forecast, which brings the great significance of our work. Keyword: Big data, scalability, weather reports. ×
S.Roja"Big-Data Analysis For Weather Forecasting And Predcition For Scalability Reports" Volume 4 - Issue 4 (179-184) - July- August 2018, International Journal of Engineering and Techniques (IJET),ISSN:2395-1303 , www.ijetjournal.org × |
IJET-V4I4P25 |
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26 |
Mapping the Soil Property based on Proximal Soil Sensing Approach to Study the Spatial and Temporal Variability- S.Virgawati, M.Mawardi, L.Sutiarso, S.Shibusawa, H.Segah, M.Kodaira
Abstract
Farmers should aware of with-in field variability of soil property in precision farming practice. The problem is how to provide reliable, fast and inexpensive information of soil property in the subsurface from numerous soil samples and repeated measurement. The proximal soil sensing has emerged as a rapid and low-cost method for extensive investigation of soil property. The objective of this research was to develop calibration models based on laboratory Vis-NIR spectroscopy to predict the value of soil property at different growth stages of soybean crop on two small farms (Gunung Kidul and Bantul) in Yogyakarta Province. Some standard methods of soil analysis were applied to measure the soil texture, soil moisture content, soil organic matters, pH, N, P, K, Fe, and cation exchange capacity of 80 soil samples. An ASD Field-spectrophotometer was used to measure the reflectance of 240 soil samples. The partial least square regression (PLSR) was performed to establish the relationship between the measured soil properties with Vis-NIR soil reflectance spectra. The criteria to select the best calibration model was the largest coefficient of multiple determinations (R2) and the smallest of root mean square error (RMSE). The selected calibration model was used to predict soil property of other 160 samples. The ability of Vis-NIR spectra to predict values of soil property was categorized based on residual prediction deviation (RPD) values. The results revealed by RPD values showed that the models performed vary from excellent to unreliable to predict the value of soil property. Different pretreatment process following trial and error procedure should be performed in order to find the best correlations between the measured soil property and the spectra.The temporal and spatial soil variability maps of predicted soil property values were performed using the ArcGIS v.10.0 with inverse distance weighted (IDW) interpolation method. The map interpretation of soil variability with-in field was very helpful to study the correlation among the soil property and support the decision for farm management. Keyword: Soil property, proximal soil sensing, Vis-NIR spectroscopy, inverse distance weighted (IDW). ×
S.Virgawati, M.Mawardi, L.Sutiarso, S.Shibusawa, H.Segah, M.Kodaira"Mapping the Soil Property based on Proximal Soil Sensing Approach to Study the Spatial and Temporal Variability" Volume 4 - Issue 4 (185-194) - July- August 2018, International Journal of Engineering and Techniques (IJET),ISSN:2395-1303 , www.ijetjournal.org × |
IJET-V4I4P26 |
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Copyright © 2015 IJET- International Journal of Engineering and Techniques Published By International Research Group, All rights reserved
This work is licensed under a Creative Commons Attribution 4.0 (International) Licence. (CC BY-NC 4.0)
This work is licensed under a Creative Commons Attribution 4.0 (International) Licence. (CC BY-NC 4.0)