-4d90550d17f4602e089-8aa 20220603082255061 beie:beie director@blueeyesintelligence.org WEB-FORM International Journal of Recent Technology and Engineering (IJRTE) IJRTE 22773878 10.35940/ijrte.2277-3878 https://www.ijrte.org/ 11 30 2019 8 4 Assistant Professor, PSNA college of engineering and tchnology, Tamilnadu, India Mr. K. Sivasubramanian* Mr. G. Balamurali Assistant Professor, PSNA college of engineering and technology, Tamilnadu, India Dr. C. Jaya Guru Professor, PSNA college of engineering and technology, Tamilnadu, India Ms. V. Anushya Assistant Professor, PSNA college of engineering and technology, Tamilnadu, India. Self-Compacting concrete (SCC) is characterized as an exceptionally flowable, non-isolating solid blend that can be put even in the most clogged support by methods for its very own weight, with practically no vibrations. An exploratory investigation was embraced to study the properties of self-compacting concrete (SCC) . In the present examination, the marble powder (MP) were utilized for the substitution of fine-total. The substitution is done incompletely in the extent of 0%, 10%, 20%, 30%, 40% and half and its impact on usefulness of self-compacting cement were examined. The functionality trial of self-compacting cement utilized in this exploration were the droop stream test, T50cm droop stream, V-channel test and L-box test. Droop stream test, T50cm droop stream and V-channel test are utilized to assess the filling capacity of SCC while Compressive quality, Split Tensile Strength and Flexural Strength test were done to discover mechanical properties. 11 30 2019 7224 7230 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D5274.118419 https://www.ijrte.org/portfolio-item/D5274118419/ Lecturer, Department of EEE, Government Polytechnic College, Perundurai, Erode, Tamil Nadu, India. M. Ponnkodi* I.A. Chuidambaram Professor, Department of EEE, Annamalai University, Tamil nadu, India. Automatic Generation Control (AGC) plot for two area inter-connected thermal to thermal Deregulated Power System (DPS) utilizing Unscheduled Interchange (UI) price signal, which has an effect on the power markets is proposed in the paper. Unscheduled Interchange price is one of the most important parts of Availability Based Tariff (ABT) which goes about as an optional control system for regulating the grid frequency. These UI price signals vacillate according to change in grid frequencies which can be open by the participants (generator or load) associated with the grid. The customary AGC system, however, attempts to carry the error of frequency to 0, yet it will be an ineffectual answer for taking an interest producing penalty deviations with frequency. This plan additionally gives the system operator adaptability to plan the generation in an ideal way. In this examination, the execution of a Proportional Integral (PI) controller is proposed because beneficial AGC of 2 area thermal and thermal deregulated system works under the impacts of bi-lateral contracts over the dynamics. The tuning of PI controller parameters is illuminated by utilizing a Moth-Flame Optimization (MFO) algorithm. Further to improve the AGC performance, the Hydrogen Energy Storage (HES) units is incorporated into its control area which can adequately moist the electromechanical motions in a power system, as they give guarantee from the storage limit notwithstanding the generator rotors dynamic energy which can share abrupt deviations in power requirement. The Thyristor Controlled Phase Shifter is proposed in arrangement with tie line between any inter-connected areas that may be applied to balance out frequency motions of the area by fast control of power in tie line over the interconnections. Execution of HES-TCPS units' blend captures the underlying frequency fall just as the power deviations in tie line for an abrupt load unsettling influence and the outcomes show that the charges of UI are extensively limited while keeping up at normal frequency worth. Furthermore, proposed strategy yields an eminent decrease in the control input deviation yet, in addition, guarantees superior soundness for the unscheduled interchange price signals therefore, the market participants can get benefit accordingly. 11 30 2019 7231 7237 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D5275.118419 https://www.ijrte.org/portfolio-item/D5275118419/ Bursar & Director (MCA), Associate Professor of Computer Science, Jamal Mohamed College (Autonomous), Tiruchirappalli – 620 020, Affiliated to Bharathidasan University, Tamil Nadu, India. Dr. D. I. George Amalarethinam* Lalu P. George Research Scholar, Department of Computer Science Jamal Mohamed College (Autonomous), Affiliated to Bharathidasan University, Tiruchirapalli-620 020, INDIA Dr.Anjana S. Chandran Assistant Professor, SCMS School of Technology and Management, Cochin-683501, India There is a rapid increase in data volume all over the world. In the computer network world also, imminent changes are happening. Under any circumstance, data can be vulnerable from one’s own side or by a service provider or on data movement. In that case we need to secure our data. In this paper, the improved methods of protection against data leakage has been discussed. Public cloud data theft can happen through intruders or hackers or service providers. The data securing algorithm are used prior to storing the data in the server. Any data entering the cloud area is segregated into numerical and non-numerical parts, where non-numeric is operated by one algorithm and obfuscation method is applied on the numeric part. These two operations are done simultaneously with different threads. This both works come together and developed an entirely different algorithm. Hence the proposed algorithm maximizes the security and reduces the service cost. The proposed method is implemented as a cloud application and hosted on a cloud platform as a service and tested by subsisting present methods with respect to time and security levels. From the results, it is observed that the proposed method GLEncObfus is more efficient than present methods with reference to encryption-obfuscation time, decryption-de-obfuscation time and security level. 11 30 2019 7238 7242 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D5276.118419 https://www.ijrte.org/portfolio-item/D5276118419/ Research Scholar in Computer Science, Mother Teresa Women’s University, Kodaikanal, Tamilnadu, India. K. Arulmozhi* Dr. R. Ponnusamy Professor, Department of Computer Science and Engineering, CVR College of Engineering, Ibrahimpatan, Hyderabad, Telangana, India. In today's internet world almost each and everyone uses Smartphone and they are all also active in various social media. In general social media contains a huge amount of data that can be extracted and utilized to find various data insights including polarity emotion etc... This research paper mainly investigates in emotion predection using a machine learning approach . Here a novel algorithm was introduced to predict the emotion of tweets . The algorithm mainly deals with emotion Prediction by utilizing various parameters like unigram , bigram , edge weight matrix , frequency matrix and so on . Finally , the result was predicted with the emotions of the tweets . While testing with various search terms this algorithm performs well in Predicting the emotion like anger, happiness and so on . 11 30 2019 7243 7246 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D5277.118419 https://www.ijrte.org/portfolio-item/D5277118419/ Research Scholar, Department of Computer Science, Jamal Mohamed College (Autonomous) (Affiliated to Bharathidasan University), Tiruchirappalli, Tamilnadu, India. J.Mohammed Ubada* Dr. M. Mohamed Surputheen Associate Professor, Department of Computer Science, Jamal Mohamed College (Autonomous) (Affiliated to Bharathidasan University), Tiruchirappalli, Tamilnadu, India. The cloud environment has been identified as the keen platform being used by different cloud users and organizations. The data security has been approached with several techniques like password, attribute based approaches and so on. However, they suffer to achieve higher security performance. To improve the performance, an efficient real time service level access restriction scheme which uses dynamic OTUP (One Time User Password) generation scheme. The method maintains different user information which includes the password details of users. Further, the method collects the one time user password initially. With this, the method restricts the user’s service access by generating OTUP in a dynamic way according to different services. The user has been restricted according to the service and OTUP generation methods. According to this, the method estimates service level trust weight (SLTW) to restrict the user. The methods introduce higher security performance and reduces false ratio. 11 30 2019 7247 7251 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D5278.118419 https://www.ijrte.org/portfolio-item/D5278118419/