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Research Paper

Fault detection monitoring and controlling of induction motor using Zigbee

Our project is basically based on monitoring and controlling of the induction motor by the use of a Zigbee module. Microcontroller and other sensors play an important role in this monitoring and controlling of the induction motor. This type of monitoring helps to take preventive measures against induction motor when a fault occurs.

Published by: Niraj, Tejas Borde, Prasad Mulumkar

Author: Niraj

Paper ID: V5I2-1530

Paper Status: published

Published: March 27, 2019

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Research Paper

Classification of attack types for intrusion detection system using machine learning algorithm: Random forest

In the current era of Big Data, a high volume of data is being grown in vast and the speed of generating the new data is accelerating quickly. Machine Learning algorithms are used for such large datasets to teach computers how to reply to and act like humans. In machine learning with the help of generalization ability, the increase in the size of the training set increases the scope of testing. In this paper, we analyze the results of the attacks classified using Intrusion Detection System, and the training time of Random Forest algorithm is measured by increasing the size of the KDD dataset in intervals thereby observing the changes in the final evaluation metrics obtained

Published by: Dasari Sree Lalitha Chinmayee, C. Visishta, Garbhapu Navya, Sajja Ratan Kumar

Author: Dasari Sree Lalitha Chinmayee

Paper ID: V5I2-1541

Paper Status: published

Published: March 27, 2019

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Research Paper

Design and analysis of velocity profile of air in engine inlet manifold

This project deals with the improvement of the performance and to achieve the even distribution of flow at each cylinder, to select the best turbulence model for the analysis of intake manifold using computational fluid dynamics, to achieve the maximum mass flow rate through the runners. To achieve the even flow of distribution and improve the volumetric efficiency, we divided his analysis into four different parts. In each part, a different iteration of inlet manifold used in Maruti Gypsy’s G13BB engine is used. In this analysis, plenum size is only changed in small values to show the effects of the shape of runners on output. Dividing the work into four different parts provide the greater refinement in the result. Runner shape is determined by the operating conditions of the engine assembly in which the inlet manifold is used. The intake runner diameter influences the point at which peak power is reached while the intake runner length will influence the amount of power available at high and low RPM. To find the best results, we perform the experiments in Ansys Fluent for possible designs and find the effect of curved and branched runners were providing higher volumetric efficiency and even flow of distribution to each cylinder. For designing final intake manifold we select the best design from all four parts and perform the experiment using computational fluid dynamics software Ansys Fluent. This project work brings the design concept and analysis method of “DESIGN AND ANALYSIS OF VELOCITY PROFILE OF AIR IN ENGINE INLET MANIFOLD”.

Published by: Josbin C Mathew, Dharmadurai R., Ajay Krishnan P., Mohammad Shabeeb P. K., Dr. P. Maniiarasan

Author: Josbin C Mathew

Paper ID: V5I2-1523

Paper Status: published

Published: March 26, 2019

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Research Paper

Studies on optimization of fermentative hydrogen production by an isolated strain

Facultative strain of bacteria capable of producing hydrogen was isolated from soil sample rich in decomposed biomass. The isolated strain was characterized and the process parameters, namely pH, temperature and fermentation time were optimized for the maximum hydrogen production. The optimum conditions were found to be: pH-7, temperature-34oC and fermentation time-42hrs. Under these optimum conditions, the isolated strain achieved the highest hydrogen production rate of 2.84 ml H2/L.h

Published by: Manikkandan T. R.

Author: Manikkandan T. R.

Paper ID: V5I2-1392

Paper Status: published

Published: March 26, 2019

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Review Paper

Achieving secure file download by traffic and energy saving encrypted search technique and generate key image using BVCS

Cloud Computing is a model of Internet-based computing where resources like storage space, online software are provided by different cloud service providers to different types of cloud users who need cloud services. When a cloud user outsources the data on cloud, it has to provide more security for outsourced data preventing data manipulated or accessed by unauthorized users. To maintain data integrity, each and every cloud service has to be stored securely. For easier accessing of files and to generate file indexes, each file is stored in cloud server. Now cloud users search files and again send download request to cloud server. This process is time consuming and also there is a chance that the cloud service provider might access those files which is stored in the cloud server, because both the encrypted file with correspondent keys and file indexes are stored in cloud server. To overcome these problems, this system introduces storage nodes for storing file indexes and encrypted files and cloud server stores files keys. When a cloud user uploads file, the file index is generated automatically and file is encrypted by using AES algorithm with automatically generated key. After that by Visual cryptography scheme, the key is converted into image and then generated as key image and source images respectively. The encrypted file and the file indexes are stored in storage node, key and source image are stored in cloud server and key image is passed to file owner. Whenever file owner or file users want to download or access files then perform search and then put key image as an input. If valid, it matches the key with the source image and later it can be downloaded.

Published by: Jeshima Firdouse R., Shivani G.

Author: Jeshima Firdouse R.

Paper ID: V5I2-1406

Paper Status: published

Published: March 26, 2019

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Research Paper

Characterization of municipal sewage sludge and reprocess as fertilizer at Jijiga University sewage treatment plant

Jigjiga University is one of the new universities in Ethiopia, which is established from 2009. The total area of this campus is 350 hectares and the total population is 21374 students and 2155 teaching as well as non-teaching staff. The maximum quantity of sewage flow in the campus is 882337 lit/day approximately. University constructed a treatment plant in the campus and the following treatment process is followed like Screening, sedimentation (primary and secondary), coagulation, oxidation ditch, sludge digestion, and oxidation pond. But here they are focusing only on the sewage treatment process. But here I am focusing to use sewage sludge as a fertilizer after the treatment process. The profitable indicators selected were money, process and administration, and user costs because they resolve the profitable affordability of a particular technology to society. Environmental indicators include energy use because it in some way measures resource utilization, and performance of the technology. Find the treated sewage sludge nutrients such as potassium, ammonia, nitrogen, phosphorus, and other compost. These indicators also determine the reuse possibilities of the treated wastewater sludge as fertilizer. Community indicators detain educational recognition of the technology through public participation and also measure whether there is an improvement in the community from the specific technology. The overall results of this study prove that sewage sludge having fertility content and we can use sewage sludge as a fertilizer by sewage treatment technology.

Published by: Udhaya Kumar, Ismail Mahamud Mahamed

Author: Udhaya Kumar

Paper ID: V5I2-1430

Paper Status: published

Published: March 26, 2019

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