-3dc97f3d182b6b0ed3d-7724 20220829003401935 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/ 07 30 2019 8 3 School of Maritime Business & Management, Universiti Malaysia Terengganu, 21030 Kuala Terengganu, Terengganu, Malaysia, Siti Marsila Mhd Ruslan This paper studies the dynamic behaviour of transportation price in Peninsular Malaysia and Sabah from 2004 to 2015 using disaggregated monthly price data of consumer price index (CPI). For that, unit root tests and cointegration tests with structural breaks are incorporated. The findings indicated that (i) both Zivot and Andrews unit root test and Perron unit root test provided fairly similar results; most of the break points occurred in 2008, (ii) the variables cointegrate in the Johansen cointegration test which indicates that there is a long-run relationship and (iii) the Gregory and Hansen test also demonstrated some form of cointegration with structural break(s), especially in 2008. Overall, this study intends to match the structural break points with the comparable critical economic events. 07 30 2019 283 290 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A3521.078219 https://www.ijrte.org/portfolio-item/A3521058119/ Department of Mathematics, SRMS College of Engineering & Technology, Bareilly, Affiliated to Dr. A. P. J Abdul Kalam Technical University, Lucknow, India. Dr. Anju Khandelwal Prof. Avanish Kumar Former Head, Department of Math Sc & CA, Bundelkhand University, Jhansi, Chairman CSTT, MHRD, New Delhi, India. The process of selecting employees in any organization is done by mostly old ways. There is a lack of hypothetical support in this method, and error is possible in the result. In the research paper presented, we have outlined the recruitment and selection process of employees with the help of Fuzzy Triangular Number. The selection process given here is completely different from the methods given earlier. To find the ideal employee here, we use the modified method of solving assignment problem. Using certain linguistic variables, we use robust ranking method here. The solution obtained from this method is minimized using the revised approach of assignment. This modified approach is simpler than the Hungarian method previously used by other authors. Using this modified solution, the minimum solution is achieved by reducing the number of recurring assignments. After assignment process, finally selection of employees is given using criterion of GA. 07 30 2019 5475 5479 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B6988.078219 https://www.ijrte.org/portfolio-item/B6988078219/ Civil Engineering Department, National Institute of Technology Agartala, Tripura. Ratul Das This study aims at quantifying experimentally the influence of bed load transport on velocity power spectrum of acoustic Doppler Velocimeter (ADV) and turbulent kinetic energy budget. Hydraulic flume was used for experimental investigations for bed load transport. Uniform size of gravels (d50 = 4 mm) were injected into the flows without bed-forms development and compared with those in clear water flows. A 5 cm down looking Vectrino+ of 10 MHz acoustic frequency was used to measure the velocity of flows. The velocity signals produced spikes in the Vectrino+ data on account of instrument noise and high-frequency fluctuations. Therefore, de-spiking and removal of contaminated data were very much essential to obtain clear velocity power spectra for the ADV data sets. The velocity power spectra of filtered dataset followed the Kolmogorov “–5/3 scaling-law” in the inertial frequency range. At low frequencies, another scaling regime with spectral slope of about −1.0 is found resulting a shifting of turbulent power production subrange towards the high frequency regime and it is interpreted as the signature of sediment mobility without bed form development. Interestingly, the bed lad transport reduced the TKE dissipation rate and sharply changed the pressure energy diffusion rate which corroborated a gain in turbulence production. 07 30 2019 291 298 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A9137.078219 https://www.ijrte.org/portfolio-item/A9137058119/ Department of Mathematical Sciences, Abubakar Tafawabalewa University Bauchi, Nigeria. Email:elyasummm@gmail.com Dr A.Y Gital, Department of Mathematical Sciences, Abubakar Tafawabalewa University Bauchi, Nigeria. Ilya Musa Adamu Dr. S. Boukari Department of Mathematical Sciences, Abubakar Tafawabalewa University Bauchi, Nigeria, Ismail Zahraddeen Yakubu Department of Computer Science and Engineering. SRM Institute of Science and Technology, Tamil Nadu. The scheduling Round Robin (RR) is an impartial algorithm that schedules cloud resources by giving static time quantum to all processes. Time quantum selection is very crucial as it determines performance of algorithms. This research paper suggests an approach to improve RR scheduling algorithm in cloud computing by considering the quantum to be equal to burst time of start request, which dynamically vary after each execution of a request. And also, if the remaining burst time of CPU for currently executing process is lesser than time quantum, then the CPU will be allocated again to the executing process for rest of CPU burst time. MatLAb was used to implement the planned algorithm and benchmarked against MRRA available in literature. In comparison with the planned algorithm, Average Turnaround Time (ATAT) and minimal Average Waiting Time (AWT) was recorded. Based on the obtained simulated outcome, the planned algorithm should be preferred over modified round robin algorithm as it significantly improves the system efficiency. 07 30 2019 5047 5051 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A9139.078219 https://www.ijrte.org/portfolio-item/A9139058119/ Department of Information Technology, Vignan’s Institute of Information Technology, Visakhapatnam, India. Kaki Leela Prasad Pilaka Anusha Department of Computer Science Engineering, Vignan’s Institute of Information Technology, Visakhapatnam, India. MaradaSrinivasaa Rao Department of Computer Science Engineering, Vignan’s Institute of Information Technology, Visakhapatnam, India. Dr. K.Venakata Rao Department of Information Technology, Vignan’s Institute of Information Technology, Visakhapatnam, India. The process of threaten or harassment of any user with the help of posting wrong/abused or vulgar messages using the social media in the internet is known as Cyber bullying .These messages may sometime contain a text posted by a teen, or preteen or a child who want to threaten or harassed or embarrassed other child by posting the messages. So in this project, we mainly try to propose another depiction learning strategy to handle this issue known as SEMdae. Here the semantic augmentation comprises of predefined words that contain noise or abused meaning which is posted into the database by the admin and these words are classified based on the five categories that are available in the literature like “HATE, VULGAR, OFFENSIVE, SEX, and VOILENCE”. 07 30 2019 1861 1865 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A9164.078219 https://www.ijrte.org/portfolio-item/A9164058119/ Department of Computer Science and Engineering, Sri Krishna College of Technology, Coimbatore, Tamilnadu, India. J. Pamina T. Dhiliphan Rajkumar Department of Computer Science and Engineering, , Kalasalingam Academy of Research and Education, Anand Nagar, Krishnankoil, Srivilliputur Post-626126, Virudhunagar District, Tamilnadu, India S. Kiruthika Department of Computer Science and Engineering, Sri Krishna College of Technology, Coimbatore, Tamilnadu, India. T. Suganya Department of Computer Science and Engineering, Sri krishna college of Technology, Coimbatore, Tamilnadu, India. Femila F Department of Computer Science and Engineering, Sri Krishna College of Technology, Coimbatore, Tamilnadu, India. Most prominent challenges in all business is to retain and satisfy their valuable customers for sustain successfully in the market. Numerous Machine learning approaches are emerging to develop various customer retention models to solve this issue in many applications. This swing is more realized in telecom industry due its enormous significance. This article presents an elaborated survey on machine learning based churn prediction in telecom sector from the year 2000 to 2018. We also extracted the problems and challenges in Telecom Churn Prediction and reported suggestion and solutions. We believe this article helps the researches or data analysts in the telecom field to select optimal and appropriate methods and for designing improved novel model for churn prediction in future. 07 30 2019 299 308 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A9170.078219 https://www.ijrte.org/portfolio-item/A9170058119/ Associate Professor Department of Information Technology VNRVJIET, Hyderabad. India. Dr D.Srinivasa Rao Dr. CH Ramesh Babu Professor Department of Computer Science and Engineering in Geethanjali College of Engineering and Technology Hyderabad. India. Dr. Y.J Nagendra Kumar Professor in the Department of IT. Qualifications: Ph.D (CSE),Acharya Nagarjuna University, Guntur, India. Dr. N. Rajasekhar Professor Department of Computer Science & Engineering From Acharya Nagarjuna University, Guntur. India. Ravi Tene Assistant Professor Department of Information Technology Hyderabad, India. The principal resolution of the image fusion is to merging indication from different images; CT (Computed Tomography) scan and an MRI (Magnetic Resonance Imaging) and to obtain more informative image. In this paper various transform based fusion methods like; discrete wavelet transform (DWT) and two specialisms of discrete cosine transform (DCT); DCT variance and DCT variance with consistency verification (DCT variance with CV) and stationary wavelet transform (SWT) image fusion procedures are instigated and associated in terms of image evidence. Fused outcomes attained from these fusion techniques are evaluated through distinctive evaluation metrics. A fused result accomplished from DCT variance with CV followed by DCT variance out performs DWT and SWT based image fusion methodologies. The potentiality of DCT features creates value-added evidence in the output fused image trailed by fused results proficient from DWT and SWT based image fusion methods. The discrete cosine transforms (DCT) stranded methods of image fusion are auxiliary accurate and concert leaning in real time solicitations by energy forte of DCT originated ideologies of stationary images. In this effort, a glowing systematic practice for fusion of multi-focus images based on DCT and its flavors are obtainable and demonstrated that DCT grounded fused outcomes exceed other fusion methodologies. 07 30 2019 309 317 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A9180.078219 https://www.ijrte.org/portfolio-item/A9180058119/ School of Computer Science and Information Technology, MANUU (A central University) Hyderabad, India. Abdul Manan Koli Muqeem Ahmed School of Computer Science and Information Technology, MANUU (A central University) Hyderabad, India. The forecasting of election’s outcome remained prevailed in prominence from pre-historic times and is still a delightful topic of the current era. The predictions of election results have been started from traditional methods to economic indicators and now is being swung by social media especially sentimental analysis. The present studies discuss the election forecasting methods carried out in diverse nations by the number of researchers till now. Furthermore, different number of approaches for electoral prediction using social media and economic dimensions has been investigated based on previous literature work. The main focus of this work is to study and examine various techniques, methods and parameters used for election predictions in distinct areas. Finally, we suggest some intelligent techniques which will be based upon some parameters such as the development agenda, party type and religionism etc for further modification in election prediction system, so as to enhance the accuracy of political forecasting globally 07 30 2019 4539 4549 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A9192.078219 https://www.ijrte.org/portfolio-item/A9192058119/ PhD in mechanical engineering at JNTUA, Anathapur B Ramanjaneyulu Dr.N. Venkatachalapathi professor and R & D Dean. B.V.B College of science and technology, Smt.G. Prasanthi graduated from JNTU college of Engineering, Anantapur, PG from BITS Pilani, Rajasthan, poly lactic acid (PLA), Acrylonitrile butadiene styrene (ABS) and tapioca cassava starch powder (TCSP) were melt blended using twin screw extruder. Mechanical properties, which are tensile strength, young’s modulus, % elongation and flexural strength Vs. flexural modulus determined by the help of Universal testing machine (INSTRON UTM-3969).Morphological of PLA/ABS /TCSP blends was investigated by the help of scanning electron microscopy (SEM), the SEM images of (b-d) shows spherical morphology on the tensile fractured 07 30 2019 1866 1869 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A9213.078219 https://www.ijrte.org/portfolio-item/A9213058119/ New Urban Communities Authority, (NUCA), Ministry Of population, Cairo, Egypt. Rezq Mohammed Moustafa Ahmed El Biomy Mansour Assistant Professor, Electrical Engineering, Department, Al Azhar University, Cairo, Egypt. Abd El Ghany Mohammed Professor, Electrical Engineering, Department, Helwan University, Cairo, Egypt. The documented investigation in this paper examines main power quality for wind turbines and its connection with the public grid. This main goal has been to investigate most popular type of wind turbines which are grid connected using doubly-fed induction generators (DFIG) at normal operation, as well as voltage control of these wind turbines after clearing a lines short circuit in the utility grid. This paper introduces the configuration of main portions of grid connected turbines, which have an importance in the wind power plants operation. It also proposes a new compact modeling of these wind turbines, which has a feature that the expressions of most plant portions are free of any complex or details that described in other past models. Most of last models are spotted on the normal operation of single wind turbines, without consideration of gird interaction faults. The proposed control techniques are new combined and concentrated on the voltage recovery, which plays very important role in the power quality and stability of wind turbines plants which are connected with the grid. Net simulation results show that the combination of pitch control and dynamic slip control could to have power system stability efficiently, and restore the voltage to its normal condition. A simulation of wind turbine using pitch control and dynamic slip control are developed by the simulation program is called power system computer aiding design (PSCAD) and carried out the stability investigations respecting to short circuit in external power lines system. After clearing of the fault, the recovery of voltage at the terminals of wind turbine should to rebuild, then the wind power turbine should going to its normal case. Control of the pitch angle or generator slip can adjusting the aerodynamic torque and the electromagnetic torque at the turbine which can be help to recovery the voltage at the terminals of wind turbine. The results of case study simulation are proved that pitch and dynamic slip controls ar 07 30 2019 868 873 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A9248.078219 https://www.ijrte.org/portfolio-item/A9248058119/