-74813b3e17f460286df-119a 20220527005301648 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 Student, SOCE, SASTRA Deemed to be University, Thanjavur, 613401, India Helis Joseph Prem F* Mahalakshmi Mathivanan* Faculty, SOCE, SASTRA Deemed to be University, Thanjavur, 613401, India The Cost escalation and Time overrun has become the common problem in various construction projects across the world which are forcing the construction firms to compromise with the quality and completion time of the building. This can possibly be reduced by concentrating on the key sectors during building construction that are most probable to cause adverse effects on the project objectives. These key sectors that spoils the objectives of projects can be found with the help of a descriptive survey drafted using the significant factors gathered from various Literatures. As a result of survey 38 factors in 7 major groups such as Owner, Consultant, Contractor, Material, Equipments, Labour, External related causes were formulated and the factors were to be assessed based on the Response Scale. These Questionnaire were then circulated among various construction parties such as Owner, Consultant, Contractor in Tamil Nadu. About 191 replies were received in which 66% of them were related Contractors, 21% were Consultants, and 13% were Owner related. The study was carried out by finding the Relative Importance Index of each factor and it was found that the influencing factors were Inadequate Fund for Project, Material Cost Inflation, Changes in Government Regulations, Unrealistic Contract Duration and Requirements imposed by Owner, Inadequate Resources for Construction. Based on the Group Importance Index the Owner group was ranked the highest which signifies that it needs to be concentrated more to reduce the adverse effects 11 30 2019 1195 1202 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2670.118419 https://www.ijrte.org/portfolio-item/B2670078219/ studying at Dr. D. Y. Patil College of Engineering, Akurdi, Pune Sonali D. Patil* Dr. Manish Sharma currently working as Associate professor in D. Y. Patil College of Engineering Akurdi, Pune For the low-power consumption of fast fourier transform, Split-radix fast Fourier transforms are widely used. SRFFT uses less number of mathematical calculations amongst the different FFT algorithms. Split-radix FFT has the same signal flow graph that of conventional radix-2/4 FFT’s. Therefore, the address generation method is same for SRFFT as of radix-2. A low power SRFFT architecture with modified butterfly units is presented over here. Here, it is shown that the, a 2048-point SRFFT is computed using radix-4 butterfly unist. Dynamic power is saved, on compromising the use of extra hardware. Here, the architecture size is increased from radix-2 to 4 and the dynamic power consumption is evaluated. 11 30 2019 2043 2046 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2690.118419 https://www.ijrte.org/portfolio-item/B2690078219/ PhD student, Centre for Biomaterials, Cellular and Molecular Theranostics, Vellore Institute of Technology,Vellore-632014,Tamil Nadu, India. Reetoja Nag* Raunak Kumar Das Assisitant Professor, Centre for Biomaterials, Cellular and Molecular Theranostics, Vellore Institute of Technology,Vellore-632014,Tamil Nadu, India. Intricate details of cells and tissues can be visualised by fluorescence microscopy and the images obtained can be then be quantitatively analysed. However, during image acquisition, distortions of the images occur by convolving the object with Point Spread Function. To remove this blurring, computational deconvolution methods are used in which the original image is restored with improved contrast. Our study analysed various fluorescence images, after the nuclei segmentation of the images, by both Deblurring (Blind Deconvolution, Lucy Richardson and Wiener filtering) and Restoration algorithms (Inverse filtering and Regularised filtering), which are the two main categories of deconvolution methods, in MATLAB 2016b. After statistical analysis (Mann Whitney U test) of area and homogeneity of the segmented nuclei of the various images for the different deconvolution methods, statistical significant difference was found in the case of area ((p=0.027) for Original vs. Inverse filter and (p=0.029) for Original vs. Regularised filter)) for restoration algorithms and for homogeneity, it was found for original vs. all the deconvolution methods, which shows that quantitative evaluation of the features can be used to further determine the better deconvolution method and in this case Restoration algorithms proves better than Deblurring algorithms. 11 30 2019 7910 7918 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2851.118419 https://www.ijrte.org/portfolio-item/B2851078219/ Research Scholar Department Of Mathematics KLEF (Deemed To Be University), Vaddeswaram, Guntur (DT), Andhra Pradesh. Kalla Hema Bala Dr. B. Srinivasa Kumar Associate Professor In The Department Of Mathematics, K L E F ( Deemed To Be University ), Vaddeswaram, Guntur (DT.), Andhra Pradesh Multi fuzzy set theory is an extension of fuzzy set theory. In this paper we developing the theory of Index number of multi fuzzy sets. This theory is applied to medical diagnosis system and will help doctors to select the effective symptoms and could make diagnosis of diseases concern. This theory also helps in selecting right political leaders. 11 30 2019 2873 2876 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D2888.118419 https://www.ijrte.org/portfolio-item/B2888078219/ Department of Computer Science and Engineering, Aliah University, Kolkata, India. Shukla Mondal* Khondekar Lutful Hassan Department of Computer Science and Engineering, Aliah University, Kolkata, India. In this article performance analysis of MANET under rushing attack has been performed. It is mainly focused on the analysis of the effect of Rushing attack in MANET. Ad-hoc On-Demand Distance Vector (AODV) routing protocol is considered as the routing protocol of MANET. This paper will analysis the various results that how the attackers affect the performance of the routing protocol in the MANET. Network Simulator NS2 (2.35) is taken as simulation tools for simulation purpose. Various node densities are considered as simulation parameters, which are used for analysis of AODV protocol under Rushing Attack. Analysis of performance is based on Control Overheads, Normalized Routing Overheads, Delay and Throughput. 11 30 2019 8506 8510 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3039.118419 https://www.ijrte.org/portfolio-item/B3039078219/ Research Scholar, Department of Civil Engineering, Sathyabama Institute of Science & Technology, Chennai, India. M.Siva Chennakesava Rao* Dr,M.M.Vijaya Lakshmi Professor, Department of Civil Engineering, Sathyabama Institute of Science & Technology, Chennai, India. Praveenkumar T R Assistant Professor, Department of Civil Engineering, Sathyabama Institute of Science & Technology, Chennai, India Today Looks Into Everywhere Throughout The World Are Concentrating On Methods For Using Either Agricultural Or Industrial Wastes As A Wellspring Of Source Materials For The Development Of Construction Sector. These Wastes Use Would Not Exclusively Be Practical, Yet May Likewise Make A Feasible And Contamination Free Condition. The Usage Of Agricultural And Mechanical Waste Delivered By Modern Procedures Has Been The Focal Point Of Waste Decrease Inquire About For Financial, Natural And Specialized Reasons. The Agro Waste And Industrial Waste Such As Sugar-Cane Bagasse Ash, Rice Husk Ash And Saw Dust Are Causing Serious Pollution Related Problems, Which Needs Immediate Ways Of Handling The Waste Materials. The Research Work Will Be Carried First To Obtain Blended Cement Using Agro-Industrial Waste And Determining The Properties Of The Best Blended Cement From Various Mix Proportions. Then The Green Concrete Will Be Developed For M30 Grade Using Blended Cement. Experimental Investigation Will Be Carried Out To Assess The Workability And Mechanical Properties At The Age Of 7days And 28 Days. Potential For Energy Saving In Concrete Will Be Assessed. 11 30 2019 2757 2761 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3218.118419 https://www.ijrte.org/portfolio-item/B3218078219/ P.G and Deparement of Mathematics, Loyola College, University of Madras, Chennai – 600034, Tmail Nadu, India. S. Antony Vinoth* T. Bharathi P.G and Deparement of Mathematics, Loyola College, University of Madras, Chennai – 600034, Tmail Nadu, India. Radio labeling is graph labeling which deals with nodes of a graph. A new approach fuzzy radio reciprocal labeling proposed. Fuzzy radio reciprocal labeling deals with membership function [0,1] for every vertex and edge for making flexible which is stand for by -1 L FR .Fuzzy radio reciprocal labeling is determined for fan graph and wheel graph 11 30 2019 5586 5588 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3583.118419 https://www.ijrte.org/portfolio-item/B3583078219/ Assistant Professor of Commerce, A.V.V.M. Sri Pushpam College (Autonomous), Poondi, Thanjavur Dt. Tamilnadu, India. Dr. M. Vasan* Dr. M. Sumathy Dean, Professor & Head, School of Commerce, Bharathiar University, Coimbatore, Tamilnadu, India. M. Sridhar Senior Manager, Quality Control, FOURRTS India Laboratories, Chennai, Tamilnadu, India. The prime objective of this paper is to study succession planning in cooperatives. The primary data for this study was compiled through well-structured questionnaire filled in on a one-to-one basis by the employees of a sample sugar mill. The analyzed on employees’ satisfaction with salary structure and welfare measures and benefits expected by the employees of sample sugar mill because the dissatisfaction of employees with benefits paid by the employer will affect the career longevity of the employees. The study results clearly indicated that the majority of the employees are not satisfied with the benefit provided to them. 11 30 2019 2047 2050 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3560.118419 https://www.ijrte.org/portfolio-item/B3560078219/ Research Scholar, Loyola College. S.Antony Vinoth T. Bharathi Assistant Professor,Loyola College. Radio labeling is graph labeling which deals with nodes of a graph. A new approach fuzzy radio reciprocal labeling proposed. Fuzzy radio reciprocal labeling deals with membership function [0,1] for every vertex and edge for making flexible which is stand for by -1 L FR .Fuzzy radio reciprocal labeling is determined for fan graph and wheel graph 11 30 2019 626 628 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3583.118419 https://www.ijrte.org/portfolio-item/B3583078219/ Law Departement, University of Muhammadiyah Gresik, Gresik, Indonesia. Iwan Sandi Pangarso* Ismi Rajiani Economic and Business Departement, University of Muhammadiyah Gresik, Gresik, Indonesia. This journal purposes to assess the position and function of Region Representative Council in the framework of region economic resources resource settings under Section 22D of the Constitution Republic Of Indonesia 1945. This study is a normative legal study conducted through library or library research, using the conceptual approach and the statute approach. The results showed that the Region Representative Council can propose to Parliament the Bill relating to: regionnatural resources, central and local relations, the establishment and expansion and merger of regions, management of natural resources and other economic resources resources; As well as, relating to the balance of central and region finances. In addition Region Representative Council can participate in discussing the Draft Law relating to regionnatural resources, central and region relations, the establishment and division and merging of regions, management of natural resources and other economic resources resources; As well as, in relation to central and region financial balances; As well as, giving consideration to the House of Representative over the draft State Income and Expenditure Bill, draft laws relating to taxes, education, and religion. Region Representative Council can exercise oversight over the implementation of laws concerning: natural resources, establishment, expansion, and merger of region, central and local relations, management of natural resources and other economic resources, the implementation of the budget revenues and expenditures, taxes, education, and religion . If it is examined more deeply, it can be explained that the word "can" filed in paragraph (1) only placing theRegion Representative Council of state institutions that assist theHouse Of Representative in carrying out its legislative functions. Then the meaning of the word "follow" is discussed in paragraph (2) only positioning theRegion Representative Council of state institutions that do number fully carry out the function of discussion of the Bill. 11 30 2019 1557 1564 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3785.118419 https://www.ijrte.org/portfolio-item/B3785078219/ Senior Lecturer, School of Ocean Engineering, University Malaysia Terengganu, Terengganu, Malaysia Noor Zaitun Yahaya* Zul Fadhli Ibrahim Researcher, School of Ocean Engineering, University Malaysia Terengganu, Terengganu, Malaysia Jamaiah Yahaya Assoc. Professor, School of Informatic Technology, Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia The stochastic boosted regression trees (BRT) technique has the capability to quantify and explain the relationships between explanatory variables. We applied this machine learning modelling technique to derive the relationships between the gases air pollutants, meteorological conditions and time system variables of particulate matter (PM10) concentrations. In order to get lowest prediction error and to avoid over-fitting, the parameters of the BRT model need to be tuned. In this experiment, 25 BRT models were generated from 14 years’ worth of hourly data (122,736 a one hour averaged data from January 2000 to December 2013 gathered from four Continuous Automated Air Quality Monitoring Stations in peninsular Malaysia (located in Klang, Selangor (CA0011), Perai, Penang (CA0003), Kota Bharu, Kelantan (CA0022) and Kemaman, Terengganu (CA0002)). Seventy percent of the data were used for training and 30 percent for validation of the models. An experiment was conducted to determine the best iteration that could model hourly PM10 concentrations by optimizing the BRT parameter which are learning rate (lr), tree complexity (tc) and number of trees (nt). Five different lr (0.001, 0.005, 0.01, 0.05 and 0.1) were tested with different tree complexities (1 to 20) in the BRT model development process. From the experiment, the combination of lr = 0.05 and tc = 5 for the training set for the BRT model achieved the lowest root mean squared error (RMSE) compared to the other tested combinations. It was also found that the number of trees increased with the increment in the number of samples. A high coefficient of determinant (R2) value (0.90) for the linear relationship between the number of samples and nt was found for all the four stations. The optimum number of trees for the model was estimated by using 10-fold cross-validation. It was found that the best number of iterations for Klang, Perai, Kota Bahru and Kemaman were 12,327, 32,987, 16,370 and 57,634, respectively. The prediction accuracy of the model was tested by using the fraction of prediction namely a factor of two (FAC2), mean bias, mean gross error, RMSE, correlation coefficient (R), and index of agreement (IOA). The prediction performance of the final BRT model based on the R value was 0.81, 0.78, 0.85 and 0.81 for for Perai, Kemaman, Klang and Kota Bahru, respectively, which indicates that the BRT model developed and applicability of this can be used in other atmospheric environment data. 11 30 2019 1565 1575 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3807.118419 https://www.ijrte.org/portfolio-item/B3807078219/ Professor, Electronics and Communication Engineering, Vel Tech Rangarajan Dr. Sagunthala R &D Institute of Science and Technology, Avadi, Chennai Esther Rani P* Mahadev Venkata Sai Harsha Electronics and Communication Engineering, Vel Tech Rangarajan Dr. Sagunthala R &D Institute of Science and Technology, Avadi, Chennai Anil Singh Electronics and Communication Engineering, Vel Tech Rangarajan Dr. Sagunthala R &D Institute of Science and Technology, Avadi, Chennai.. Sujeet Singh Electronics and Communication Engineering, Vel Tech Rangarajan Dr. Sagunthala R &D Institute of Science and Technology, Avadi, Chennai Medical image processing is an important task in current scenario as more and more humans are diagnosed with various medical issues. Brain tumor (BT) is one of the problems that is increasing at a rapid rate and its early detection is important in increasing the survival rate of humans. Detection of tumor from Magnetic Resonance Image (MRI) of brain is very difficult when done manually and also time consuming. Further the tumors assume different shapes and may be present in any portion of the brain. Hence identification of the tumor poses an important task in the lives of human and it is necessary to identify its exact position in the brain and the affected regions. The proposed algorithm makes use of deep learning concepts for automatic segmentation of the tumor from the MRI brain images. The algorithm is implemented using MATLAB and an accuracy of 99.1% is achieved. 11 30 2019 2051 2054 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3817.118419 https://www.ijrte.org/portfolio-item/B3817078219/