-4d90550d17f4602e08912ee 20220627002947259 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 Department of Computer Science, Avinashilingam Institute for Home Science and Higher Education for Women, Coimbatore, India. Sindhu. A* Dr.V. Radha Department of Computer Science, Avinashilingam Institute for Home Science and Higher Education for Women, Coimbatore, India. Segmentation of positron emission tomography (PET) plays a major role in research and clinical applications. The segmentation of pancreatic tumors using PET / CT is challenging due to a significant amount of noise that may result in serious segmentation inaccuracies. The evaluation of the results of segmentation in medical imaging is due to the presence of a gold standard. Therefore, the performance evaluation of these methods would be necessary. This paper suggested a new object segmentation method that is based on K-means clustering with Saliency Maps. The K-means clustering approach restricts every pixel of the image that belongs to a single cluster. One drawback with using the K-means algorithm to segment objects is that segments are not connected and can be widely scattered. It is known that using saliency region, the approximate location of the desired object in the map can easily be identified. In this proposed method, the saliency map is used to distinguish the desired object cluster from the image from the background cluster, and then, to map the object clusters together Experimental results shows that the proposed algorithm outperforms dramatically in terms of visual plausibility and computational cost compared to state-of - the-art methods and achieves excellent performance for object segmentation. 11 30 2019 9276 9280 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9429.118419 https://www.ijrte.org/portfolio-item/D9429118419/ Kuban State Agrarian University named after I.T. Trubilin, Faculty of Processing Technologies, Krasnodar, Russia. Anton Nesterenko* Andrey Koshchaev Kuban State Agrarian University named after I.T. Trubilin, Faculty of Processing Technologies, Krasnodar, Russia. Nadezhda Kenijz Kuban State Agrarian University named after I.T. Trubilin, Faculty of Processing Technologies, Krasnodar, Russia. Ruslan Omarov Stavropol State Agrarian University, Stavropol, Russia Sergei Shlykov Stavropol State Agrarian University, Stavropol, Russia. The decrease in the number of raw meat and the deterioration of its quality, requires manufacturers of meat products to introduce advanced technologies. The development of biotechnology has given an impetus to the development and implementation of new technologies aimed at intensifying the complex of complex biochemical transformations that occur in meat raw materials in the production of sausages. The paper presents the results of a study of the effect of starter crops on raw meat in relation to the production of ham. The results of the main functional and technological properties of raw meat subjected to biomodification are presented. 11 30 2019 9834 9837 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9434.118419 https://www.ijrte.org/portfolio-item/D9434118419/ Dept of Management, Sekolah Tinggi Ilmu Ekonomi Indonesia (STIESIA) Surabaya Nur Laily* Farida Rahmawati Dept of Management, Sekolah Tinggi Ilmu Ekonomi Indonesia (STIESIA) Surabaya Sukaris Management Study Program, Universitas Muhammadiyah Gresik, Gresik, Indonesia. Triyonowati Dept of Management, Sekolah Tinggi Ilmu Ekonomi Indonesia (STIESIA) Surabaya This research aimed to find out the effectiveness of an organization at higher education 'X' in Surabaya, Indonesia. In this research, the focus was on the measurement of organization effectiveness using Holistic Organizational Effectiveness. The research was qualitative with case study method. Moreover, the analysis data were observation result, interview, and documentation. The research result concluded that the scale level of organization effectiveness was under four in Holistic Organizational Effectiveness graphic. It meant that the organization has not been effective yet. Therefore, to increase the effectiveness of sustainable holistic organization, it needed to strengthen the employee effectiveness, choose, develop and maintain better leaders and employees. In addition, it also needed to strengthen the culture; to build structure, system, process of more effective organization; to give better training; to strengthen communication and collaboration effectiveness; and to apply process of effective performance measurement and compensation. Besides, it also needed to have award and recognition program, to evaluate and reduce the organization risk, and also to support the sustainable effort. 11 30 2019 9281 9286 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9446.118419 https://www.ijrte.org/portfolio-item/D9446118419/ Fakulti Teknologi Kejuruteraan Mekanikal dan Pembuatan, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100 Durian Tunggal, Melaka, Malaysia. Nazri Huzaimi bin Zakaria* Mohd Zamani bin Ngali Fakulti Kejuruteraan Mekanikal dan Pembuatan, Universiti Tun Hussein Onn Malaysia, 86400, Parit Raja, Batu Pahat, Johor, Malaysia. Mohd Zulkefli bin Selamat Fakulti Kejuruteraan Mekanikal, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100 Durian Tunggal, Melaka, Malaysia. Ridhwan bin Jumaidin Fakulti Teknologi Kejuruteraan Mekanikal dan Pembuatan, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100 Durian Tunggal, Melaka, Malaysia. Fudhail bin Abdul Munir Fakulti Kejuruteraan Mekanikal, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100 Durian Tunggal, Melaka, Malaysia. The aim of this study is to investigate the mechanical characterization of bio-composites on thermoplastic corn starch (TPCS) reinforced with 2 mm length of pineapple leaf fibre (PALF). The selection of different weight percentages of fibres (20, 30, 40, 50 and 60) weight percentage (wt.%) of PALF contents were applied in this study. The mixtures of TPCS with different wt.% of PALF were made by using a hot compression moulding at 165 °C for 15 minutes. The mechanical testing that has been performed are tensile, flexural and impact testing to determine the effect of fibre loading on bio-composites characteristics. The results show that by incorporating 40 wt.% loading of PALF, the tensile strength and tensile modulus has increased to the maximum. However, the flexural testing result shows that 50 wt.% loading of PALF show the highest strength and modulus. Meanwhile, the impact testing result shows decrement when the loadings of PALF increases. Scanning electron microscopy (SEM) show that the TPCS with 40 wt.% of PALF have a good miscibility between matrix/fibre in the bio-composites. Overall, the TPCS/PALF composites enhance the properties of the bio-composites for short-life application: that is, plate, container, disposable tray, packaging etc. 11 30 2019 8817 8821 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9447.118419 https://www.ijrte.org/portfolio-item/D9447118419/ Assistant Professor, VIT Business School, VIT University, Chennai Campus, India. Deepa Damodaran* Dr.N Sambandam Professor & Dean at National Institute of Industrial Engineering, Mumbai India. Packaging plays an indispensable role in the sales of a product, whether it is a consumer good or an electronic product. Apart from its predominant purpose of contributing better housing and fortification to its contents, packaging today largely deals with attracting buyers towards the product and communicating the product’s message to the buyer, while trying to stand out next to a number of other competing products which serve the same purpose. The colour of packaging has by far the most paramount role in attracting the consumer. In this study, we analyse visual cues and feelingsof the consumer after they look at a package of a specific colour, which in our case is a soap and also study the impact of price hike on the purchase intent of the buyer. 11 30 2019 8822 8826 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9453.118419 https://www.ijrte.org/portfolio-item/D9453118419/ Research Scholar, Dept. of Mechanical Engg., Koneru Lakshmaiah Education Foundation, Vaddeswaram (A.P.) India. Mr. V. S. Jagadale* Dr. S. N. Padhi Professor, Department of Mechanical Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram (A.P.) India. The present work investigates the tensile and flexural strength of natural banana fiber composites. Natural fibers have incontrovertible advantages over synthetic reinforcing materials such as non-toxicity, low density, low cost, comparable durability, and limited waste disposal issues. Banana fiber reinforced composites are being prepared in the current experiment and the strength properties of these composites have been evaluated. Using the hand lay-up process, the composite specimens with variable fiber lengths were prepared and pressed at room temperature. Mechanical testing such as tensile, flexural are applied to the specimens. Analysis of the scanning electron microscope (SEM) is performed to examine fiber matrix interfaces and to analyze the fractured surface structure. 11 30 2019 8827 8830 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9461.118419 https://www.ijrte.org/portfolio-item/D9461118419/ School of Electronics Engineering, Vellore Institute of Technology, Chennai, India. Pooja N.K* John Sahaya Rani Alex* School of Electronics Engineering, Vellore Institute of Technology, Chennai, India. Audio event identification is an emerging research topic to augment the automation of audio tagging, context-based audio event retrieval, audio surveillance and much more. In this research work, audio event classification for cricket commentary is done by using long short term memory (LSTM) neural network. Mel-frequency cepstral coefficients (MFCC) features are extracted from the audio commentary and trained with LSTM neural network. The trained LSTM network is validated and attained an accuracy of 95%. 11 30 2019 9924 9927 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9462.118419 https://www.ijrte.org/portfolio-item/D9462118419/ Professor & Head, Department of Civil Engineering, Sri Venkateshwara College of Engineering, Bangalore (Karnataka), India. Dr. Rajakumara H N Dr. Ganesha Raj K Scientist / Engineer – ‘G’ & General Manager, RRSC-South, NRSC, ISRO, Bengaluru, Doctor of Philosophy (Ph.D.), Geology from Gulbarga University, Karnataka, India. Dr. Ramesh K S Scientist / Engineer – ‘G’ & Head Applications, RRSC-South, NRSC, ISRO, Bengaluru (Karnataka), India. Smt. Vidya A., Scientist/Engineer ‘SE’, Regional Remote Sensing Centre-South, Bengaluru (Karnataka), India. Mr. Ajey Kumar V G Junior Research Fellow- ISRO RESPOND, Sri Venkateshwara College of Engineering, Bengaluru (Karnataka), India. Vrishabhavathi valley is a part of river Arkavathi. It covers parts of Bengaluru Urban and Ramanagara districts with an area of 381.46 sq. kms. Due to rapid urbanization in Bengaluru lot of pervious strata is converted into non-pervious concrete or asphalt surfaces. Rainfall is a major event, which is resulting flood in Bengaluru city. Recently observed heavy rainfall, rapid urbanization, encroachment of streams and water bodies are the major causes of flooding in Bengaluru. Disturbance to human activities and damages to properties has been observed in Vrishabhavathi valley region due to heavy rainfall especially in heavy rain events. Rainfall data analysis has been carried out statistically and graphically on Vrishabhavathi valley from 1970 to 2018. Rainfall analysis was made on converting daily rainfall data to monthly average data and seasonal analysis of rainfall has made for three different monsoon seasons Pre- monsoon, South- West and North- East monsoon, distribution and frequency of rainfall has been analyzed and results are represented graphically. From the annual rainfall study it is observed that less rainfall variations till 1990 and rainfall pattern seem to be increasing constantly from 1990’s onwards till 2018, particularly in the months of August, September and October. The rainfall contribution during south-west monsoon is almost equal to 50% of total annual rainfall. Rainfall analysis is essential to develop appropriate flood prediction models utilizing latest rainfall data collected (KSNDMC Telemetric station data) and available geospatial data to address the issues of urban flood observed in many locations in Vrishabhavathi valley region and in Bengaluru. 11 30 2019 9287 9290 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9469.118419 https://www.ijrte.org/portfolio-item/D9469118419/ Department of Civil Engineering, V R Siddhartha Engineering College, Vijayawada, Research Scholar, Acharya Nagarjuna University, Guntur , India, M. Kanta Rao* Dr. Ch. Naga Satish Kumar Department of Civil Engineering, Bapatla Engineering College, Bapatla, India, This paper discusses on Rapid Chloride Permeability Test investigations on penetration of chloride ions included with replacement of cement by flyash material. By weigth of cement, the fly ash content is replaced from 0% to 60%. Concrete mixes with different binder content varies from 350, 400 and 450 kg/m3 were proportioned with different water binder(w/b) ratios = 0.4, 0.45 and 0.50. Specimens were casted and tested for 28 days. For all the combinations, RCPT was carried out and the charge passed through the specimens was noted. Rapid Chloride Permeability Test value of concrete without fly ash was found to be more than the concrete with fly ash. The Rapid Chloride Permeability Test values are found to be decreased if the percentage of flyash increases. The reason could be the pozzolanic reaction products (CSH) fill the pores between the cement pastes and cause a denser concrete matrix, resulting in better durability. Hence, it can be suggested that the fly ash concrete up to 50% replacement can be used for variety of applications. 11 30 2019 8831 8836 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9470.118419 https://www.ijrte.org/portfolio-item/D9470118419/ Research Scholar,Department of MCA,Hindusthan College of Arts and Science Dhanusha C* Dr.A.V Senthil Kumar Professor, Department of MCA, Hindusthan College of Arts and Science, In this Digital age, a rapid advancement in rise of both communication and information technologies provide many services by incorporating intelligent system of automated health assessment of resident welfare. This is achieved by tracking elderly persons activities using smart home technologies and with this activity-based learning, it helps to discover individuals suffering from early stage of Alzheimer can be predicted without distributing their living style. The main purpose of this paper is to use two different domains of datasets for predicting the alzheimer’s in elderly person during its initial stage. Thus, this work uses ubiquitous computing technologies like smart home dataset which collects the daily activities of individuals and as the clinical dataset for prediction of alzheimer’s. The objective of this proposed work is to handle the hesitancy of uncertainty by introducing intelligent intuitionistic fuzzy classifier, which inhibits irrelevant rule generation by acquiring the knowledge of elephant swarm behavior (IIF-ESB). Using elephant swarm search behavior, the rules generated by intuitionistic fuzzy are finetuned to ovoid overfitting problem and thus it eliminates the irrelevant rules. The selected potential rules highly influence the accuracy rate of the prediction model in presence of uncertainty. Performance result of the proposed model (IIF-ESB) proved that with the ability to handle the impreciseness in prediction of alzheimer’s, the usage of degree of hesitancy and intelligent of elephant swarm searching behaviour increases the accurate prediction rate and decrease the misclassification rate considerably while compared with existing prediction models. 11 30 2019 9291 9298 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9472.118419 https://www.ijrte.org/portfolio-item/D9472118419/ Pacific National University, Khabarovsk, Russia. Tatiana Vladimirovna Вorzova* The article presents the problem of eliminating the writing blocks as a process of finding ways, means, and conditions for success in teaching students. The study involved 852 students (of which 84 students of the faculty of oriental studies and history of Pacific State University participated in the formative experiment; while 83 students of the faculty of philology, translation studies and intercultural communication, and faculty of psychology, social and humanitarian technologies made up the control group). The authors propose to unlock the potential of student learning psychology by using qualitative methods of teaching students to understand the phenomenon of writing blocks to reduce them in order to increase the motivation for success in writing a scientific text. 11 30 2019 8837 8843 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9474.118419 https://www.ijrte.org/portfolio-item/D9474118419/ Mechanical Engg Dept, Rajalakshmi Engineering College, Thandalam, Chennia- Tamil Nadu, India S. Dhandapani* T. Rajmohan Mechanical Engg Dept Faculty of Engg & Tech, SCSVMV University,Kanchipuram,TN,India D. Kumar Mechanical Engg Dept, Arjun Colege of Engg & Technology, Coimbatore,TN,India. Now a day’s more research works are going on performance of MRR on various operations with respect to EDM machining. This research paper is to focus the same on parameters base with Performance measure of Material Removal Rate (MRR) in composite Material (Aluminum, Boron Carbide and Multi Wall Carbon NanoTubes (MWCNT) .The machine used for this research is Sink EDM with drilling operation. .Lots of statistical techniques are available to predict the accurate and reliable result form the research data. Here the Minitab 16 software is used to analyze the MRR performance. The input parameters selected for the EDM machine are: Pulse on time, pulse off time and voltage. The results were compared with the DOE-Taguchi approach (L9) Orthogonal array - result. [1] .Material Removal Rate was studied along with S/N ratio of Main effect plot, Means and Interaction Plot.[2] From software the main effect plots, residual plots, S/N ratio interaction plots and means was obtained The rapid increase with pulse on for MRR is resulted due to addition of nano powder and linearly increase with peak current. The optimal parameters combination was determined as CNT (1%), Pulse on (10 μs), Pulse off (2.5 μs) and Peak Current (50A) i.e. 1 4 4 2. The experimental results were checked with predicted results and a positive agreement was found. Comparing old studies the optimization values found by this experiment results with more MRR. 11 30 2019 12340 12345 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9475.118419 https://www.ijrte.org/portfolio-item/D9475118419/