bluuebunny/crossref_metadata_2025 huggingface dataset:
Single Edge Notch Bend (SENB) of Kenaf/Fibreglass Hybrid Composites
Authors:   Mechatronics Section, Electrical Engineering Department, German Malaysian Institute (GMI), Kajang, Selangor, Malaysia., Yunus S. , Salleh* Z. ,   Faculty of Mechanical Engineering, Universiti Teknologi MARA, 40450 Shah Alam, Selangor, Malaysia, Taib Y. M. ,   Faculty of Mechanical Engineering, Universiti Teknologi MARA, 40450 Shah Alam, Selangor, Malaysia., Masdek N. R. N. M. ,   Faculty of Mechanical Engineering, Universiti Teknologi MARA, 40450 Shah Alam, Selangor, Malaysia., Abidin K. B. Z. ,   Faculty of Mechanical Engineering, Universiti Teknologi MARA, 40450 Shah Alam, Selangor, Malaysia.
Published: December 2019

Kenaf is known for many years as a typical crop that can be used in various applications such as in automotive, and building structure. Along with the depletion and environmental issues raised nowadays by excessively used of man-made synthetic fibres make the natural fibre to become popular and favourable to be implemented. This paper discusses on the development of long kenaf fibre reinforced polyester matrix composite. Total weight of about 40% fibre fraction was selected. In this study, the addition of about 10% weight fraction of fibreglass in the composite system is needed in order to strengthen the composite material and also to retain its reliability and robustness in their applications. Thus, preparation of two different layer arrangement of kenaf and fibreglass were conducted viz. (i) kenaf at inner layer and fibreglass at outer layer ([0o90o]K/FG2p/[90o0o]k[0o90o]K) (ii) kenaf at outer layer and fibreglass at inner layer (FG/[0o90o/90o0o]K/FG). All configuration samples were fabricated by hand lay-up and cold press technique. Fracture toughness testing was carried out using a single edge notched bend specimen at a loading rate of 10mm/min. All samples were prepared according to ASTM D5045 (Standard Test Methods for Plane-Strain Fracture Toughness and Strain Energy Release Rate of Plastic Materials). Results obtained from SENB test were then evaluated and discussed. It can be used as a guideline or reference for further research on this type of polymer composite.
Polymerization of Lactide to Polylactic Acid by using Homogenous and Heterogenous Catalysts
Authors:   Faculty of chemical engineering, Universiti Teknologi MARA, Shah Alam, Ibrahim* Norliza , Mohamed Alia Syazana ,   Faculty of chemical engineering, Universiti Teknologi MARA, Shah Alam, Selangor.
Published: December 2019

Replacing non-biodegradable to degradable polymers are very much in concern due to reduction of petroleum supply, environment and economical related to waste disposal. Polylactic acid (PLA) shows a promising alternative to produce biodegradable plastic. The polymerization happened in homogenous phase where the catalyst, mostly used tin octoate, and the lactide are mixed in liquid phase to form PLA. However, this method become problematic for the product because the catalysts remain with the PLA and the degradation of catalyst occurred. Therefore, this study aims to convert the homogeneous catalyst to heterogeneous using ceramic waste as the support and to characterize the PLA produced by using Ultraviolet Visible (UV-Vis) Spectrometer and Fourier Transform Infrared Spectroscopy (FTIR). The experiment was carried out at different temperatures which were 110℃, 120℃ and 130℃. From the results obtained, the highest concentration of PLA produced is at temperature of 130℃ by using heterogenous catalyst. Therefore, it can be concluded that heterogeneous catalyst can be a new method of producing PLA.
Permanent Deformation of Hot Mix Asphalt (HMA) using Dynamic Modulus Simple Performance Test
Authors:   Institute for Infrastructure Engineering and Sustainability Management, Universiti Teknologi MARA, 40450 Shah Alam, Selangor, Malaysia., Shaffie* Ekarizan , Arshad Ahmad Kamil ,   Institute for Infrastructure Engineering and Sustainability Management, Universiti Teknologi MARA, 40450 Shah Alam, Selangor, Malaysia., Jaya Ramadhansyah Putra ,   Faculty of Civil Engineering and Earth Resources, Universiti Malaysia Pahang, 26300 Gambang, Pahang, MALAYSIA., Hashim Wardati ,   Faculty of Civil Engineering, Universiti Teknologi MARA, 40450 Shah Alam, Selangor, Malaysia., Shafii Mohd Amin ,   Centre of Geotechnics, Faculty of Engineering and The Built Environment, SEGi University, Kota Damansara, 47810 Petaling Jaya, Selangor, Malaysia.
Published: December 2019

Premature pavement breakdown can be caused by permanent deformation that can contribute to lower riding comfort for road users and an increase in maintenance costs. Dynamic modulus Simple Performance Test (SPT) test are considered to be significant in describing the permanent deformation of hot mix asphalt. In this study, Marshall method of mix design were used in order to prepare four asphalt mixtures comprising different content of Nanopolyacrylate (NP) polymer (0%NP, 2%NP, 4%NP and 6%NP). This study was aimed to evaluate the influence of the NP modified mixture on the permanent deformation. The Performance Grade PG64-22 was obtained by mixing the conventional bitumen (PG64-22) with nanopolyacrylate. Dynamic Shear Rheometer (DSR) at different aging condition were conducted in order to characterise the bitumen performance. While, the Simple Performance Test (SPT) was used to characterize rutting and fatigue on Marshall HMA mixes. Results from the study presented that, NP modified bitumen has a significant impact on the dynamic and rutting resistance. The addition of nanopolyacrylate significantly enhances the rheological properties of asphalt bitumen. The results revealed that 4%NP has high potential to improve rutting and fatigue resistance.
Adsorption of Hydrogen Sulphide by Commercialized Rice Husk Biochar (RHB) & Hydrogel Biochar Composite (RH-HBC)
Authors:   Faculty of Chemical Engineering, Universiti Teknologi MARA (UiTM), Shah Alam, Selangor, Malaysia., Abd Rahman* Ashadi Azwan , Alias Azil Bahari ,   Centre of Industrial Process Reliability & Sustainability (INPRES), Faculty of Chemical Engineering, Universiti Teknologi MARA (UiTM), Shah Alam, Selangor, Malaysia., Jaafar Nurul Najihah ,   Faculty of Chemical Engineering, Universiti Teknologi MARA (UiTM), Shah Alam, Selangor, Malaysia., Amir Hamzah Muhamad Ariff ,   Faculty of Chemical Engineering, Universiti Teknologi MARA (UiTM), Shah Alam, Selangor, Malaysia, Karim Ghani Wan Azlina Wan Ab ,   Department of Chemical and Environmental Engineering/Sustainable Process Engineering Research Centre (SPERC), Faculty of Engineering, Universiti Putra Malaysia, 43400 UPM Serdang, Selangor, Malaysia.
Published: December 2019

Hydrogen sulfide (H2S) is a naturally occurring component found during microbial disintegration and processing of natural gas & oil which can cause wellbeing and condition issue if being discharged into a climate at high fixation. Activated carbon which cost a lot in manufacturing is used as an adsorbent for removing these hazardous gases. As an alternative, the abundance waste of biomass available can be converted into good use. Biochar is one of the most practical and promising adsorbents that shows incredible potential as an adsorbent for the expulsion of contaminants in wastewater and gas treatment. This study covered on the characteristics and adsorption performance of two adsorbents Activated Rice Husk Biochar (RHB) and Rice Husk Hydrogel Composite (RH-HBC) on hydrogen sulfide. RHB is prepared by treating grinded rice husk biochar using aqueous Zinc Chloride (ZnCl2) and hydrochloric acid (HCl) solution to increase the size of pores of active sites and remove the impurities present in on the adsorbents. Polymerization is conducted by using initiator (ammonium persulfate, APS), monomer (acrylamide, AAm) and crosslinker (N,N'-methylenebisacrylamide,MBA) to create treated hydrogel biochar (RH-HBC). The adsorption performance is done to evaluate the effect of sorbent weight (20 g, 25 g, 30 g), H2S gas flow rate (200 L/hr, 150 L/hr, 100 L/hr) and temperature (30℃, 50℃, 70℃). RHB shows better porosity compared to RH-HBC where it has a higher surface area (222.85m2/g) compared to RH-HBC (8.68m2/g). While the presence of alkene group C=C in RH-HBC gives more stability to withstand high temperature compared to RHB. From the result, it can be concluded that the increased the sorbent weight, give an increased in adsorption capacity. When increased the gas flow rate, it gives a shorter contact time between gas and adsorbent which result in less adsorption capacity. RH-HBC give longest breakthrough time and highest adsorption capacity compared with RHB in all experiment.
Reduction of Chemical Oxygen Demand (COD) Effluent of Plastic Recycling Processing Plant using LD Slag
Authors:   Faculty of Chemical Engineering, Universiti Teknologi MARA, Shah Alam, Selangor, Malaysia., Zainuddin* N. A , Rosley. M. F. ,   Faculty of Chemical Engineering, Universiti Teknologi MARA, Shah Alam, Selangor, Malaysia., Anuar F.I. ,   Faculty of Chemical Engineering, Universiti Teknologi MARA, Shah Alam Selangor, Malaysia., Sarwani N. M. ,   Faculty of Chemical Engineering, Universiti Teknologi MARA, Shah Alam Selangor, Malaysia.
Published: December 2019

In wastewater plastic recycling processing plant, commonly contain high chemical oxygen demand (COD) concentration. Coagulation-flocculation, adsorption and foam fractionation are the examples of treatment processes that can reduce COD concentration in wastewater. Steel slag can be used as an alternative to remove COD concentration of wastewater adsorption process. Linz-Donawitz (LD) slag can be obtained from steel manufacturing plant. LD slag also contains alkali oxides, porous characteristic, large surface area and contain an easy solid-liquid separation. This research is to study the percentage reduction of COD in wastewater using LD slag as adsorbent. This research will investigate the effect of particle size, dosage amount and contact time between LD slag and COD reduction. From the experiment, the highest percentage COD removal for particle size is 0.2mm, the dosage amount is 6 gram and the contact time is at 60 min. Comparison of COD removal by using coagulation -flocculation, adsorption using activated carbon and adsorption using LD slag processes was done. LD slag can reduce 2% higher of COD compared to activated carbon. LD slag should be invested more in wastewater treatment process.
The Accuracy of Datria System in Improving Order Picking Process
Authors:   MITRANS, Universiti Teknologi MARA, Selangor, Malaysia., Asyraaf Adlan* Muhammad Akmal , Tarudin Nur Farizan ,   MITRANS, Universiti Teknologi MARA, Selangor, Malaysia., Kordi* Nurul Elma ,   Faculty of Civil Engineering, Universiti Teknologi MARA, Selangor, Malaysia., Tengku Aziz Tengku Nurul Aishah ,   MITRANS, Universiti Teknologi MARA, Selangor, Malaysia.
Published: December 2019

Order picking is an essential part of the supply chain operation. It forms as much as 55% of the operating cost at any distribution centre, as opposed to shipping, receiving, storage and has a direct impact on the level of customer contentment [1]. The ability to process customer orders quickly and accurately is now an essential part of doing business. In order to improve order picking processes within warehouse, the company must choose an order picking method that is suitable for their business. Therefore, XYZ Combined Distribution Centre (CDC) was implemented DATRIA system to dramatically increase productivity in their order picking process Based on this practices, researcher want to investigate the accuracy of DATRIA system in improving the order picking process at XYZ CDC. There are three factors that have been discussed in this study which are order picker, equipment, and interference. In this study, researcher have used questionnaire and observation as a method of data collection. The questionnaire has been distributed to order pickers at XYZ Distribution Centre and researcher also has looked at the data from order fulfilment report. At the end of this study, recommendations for efficient practicing of this system have been provided. By identifying the factors that could affect the accuracy of DATRIA system, it is easier to come up with various ideas and suggestions in improving the operations that will eventually improve the company’s overall performance besides maintaining a positive image among the customers throughout the nation.
Mechanical Properties of Hybrid Fibre Reinforced Concrete
Authors:   civil department,PSNA college of engineering and technology, dindigul,Tamil Nadu, India., Ms.Deepa*  , Vidhya Ms. N.Sree ,   civil department, PSNA college of engineering and technology, dindigul, Tamil Nadu, India, Kayalvizhi Mrs.M. ,   civil department,PSNA college of engineering and technology,dindigul,TamilNadu,India.(Email:mkayalvizhi061990@gmail.com).
Published: December 2019

Concrete is brittle material. Reinforcement of concrete with haphazardly distributed short fibres could improve the toughness of cementious matrix by preventing or dominant the initiation and propagation of cracks. Adding one style of fibre into concrete has restricted functions, therefore 2 or a lot of fibres supplemental in concrete to get higher mechanical properties. the most reason for adding steel, plastic, volcanic rock fibre to boost energy absorption capability, plasticity and to produce crack resistance and crack management. This study examines the flexural strength of concrete with 3 completely different fibres with fibre content zero.45% of plastic fibre is unbroken constant in every mixes, 0.1-0.5% of volcanic rock fibre and zero.7-1.3% of steel fibre was varied in every mixes. The tests were carried with M25 grade of concrete and also the results were compared between typical concrete to hybrid fibre concrete and optimisation of Basalt fibre and steel fibre were obtained
Evaluation of Power System ASR Indices for IDN-FOPD Controller based Automatic Generation Control of a Two-Area Thermal Restructured Power System
Authors:   Lecturer, Department of EEE, Government Polytechnic College, Sankarapuram, Tamilnadu, India., Baskar* B. , Paramasivam B. ,   Assistant Professor, Department of EEE, Government College of Engineering, Bodinayakkanur, Tamilnadu, India
Published: December 2019

This paper presents the evaluation measures for achieving the power system Ancillary Services Requirement (ASR) indices subject to the AGC assessment of a 2 area thermal restructured system. A novel Iintegral Derivative along with Fractional Order Proportional Derivative (IDN-FOPD) controller is proposed to design AGC loop. The parameters of IDN-FOPD are tuned utilizing the Big Bang Big Crunch algorithm. An extensive comparative analysis been carried out with Proportional-Integral (PI) and Fractional Order Proportional-Integral-Derivative (FOPID) controller. Power system ASR indices are computed based on the dynamic response of the control input deviations and mechanical power generation deviations. Results arrived depicts that BBBC tuned IDN-FOPD controller improves the output retort of the test system.
Telugu Speech Recognition on TRI-SPECTRAL and DNN Techniques
Authors:   Assistant Professor, Department of ECE, Malla Reddy College of Engineering for Women, Hyderabad, Telangana, India., Kumar* Chunchu Raj , Praveen Kumar Dr. Archek ,   Professor, HOD, Department of ECE, Malla Reddy College of Engineering for Women, Hyderabad, Telangana, India., Priya B Sheha ,   Assistant Professor, Department of ECE, Malla Reddy College of Engineering for Women, Hyderabad, Telangana, India., Affrose  ,   Assistant Professor, Department of ECE, Malla Reddy College of Engineering for Women, Hyderabad, Telangana, India., Haseena A. ,   Assistant Professor, Department of ECE, Amity University, Jaipur, Rajasthan, India.
Published: December 2019

This Research focus on the recognition of speech signals for Telugu language. The data of Telugu language considered is in isolated format. 10 isolated words are considered which are frequently spoken and recognized. Advanced technique named Tri spectral technique and DNN is used for this recognition. Tri spectral is a feature extraction technique. DNN is a feature classification technique. This research can be used in many interfacing systems which helps the humans to interact with the hardware or software systems easily. Design of ASR (“Automatic Speech Recognition System”) deals with many parameters which should finally conclude with promising recognition results. This techniques used in this research has given a better result with the accuracy of approximately 96.27%.
Confronting the Challenges in Teaching English to D-Gen Learners in Engineering Colleges
Authors:   Assistant Professor of English at PSNA College of Engineering and Technology, Dindigul Tamil Nadu, India., Banu* A.Hajira , Benita P.Catherine ,   Assistant Professor of English at PSNA College of Engineering and Technology, Dindigul Tamil Nadu, India., Sangeetha A.Visva ,   Assistant Professor of English at PSNA College of Engineering and Technology, Dindigul, Tamil Nadu, India., Kayalvizhi S. ,   Assistant Professor in the Department of English at St.Joseph’s College of Arts and Science(Women), Singampunari Tamil Nadu, India.
Published: December 2019

With the rising demand to incorporate technology in ESL classrooms, a study has been made among the English language teachers of engineering colleges in Dindigul District in the Southern Tamilnadu. In order to keep pace with the escalating advancements in this society, teachers need to upgrade themselves with the latest trends in the domain of ELT. One needs to go for alternate teaching methodologies like blended learning, flipped classroom or mobile assisted language learning to reach out to the D-gen learners. (digital generation). By and large, English teachers should dynamically evolve from just being teachers of English to the dimension of being a language trainer. It is high time that the language teachers realize the need to decentralize the conventional classroom set up where the shift changes from teacher centric classroom to learning centric classroom. The paper analyses the prevailing scenario of how well the modern technology is used for effective learning outcome in ESL classrooms and the need to train language teachers to integrate technology in teaching.
A Novel Fuzzy Based Method to Improve the Network Lifetime in Internet of Things
Authors:   Assistant Professor , Department of Computer Science and Engineering,, Jawaharlal Nehru Technological University Kakinada, Kakinada, India., Sanaboina* Chandra Sekhar , Sanaboina Dr. Pallamsetty ,   Professor, Department of Computer Science and Systems Engineering, Andhra University, Visakhapatnam, India
Published: December 2019

Internet of Things (IoT) opens the way for many of the research areas out of which Network lifetime extension is one of the craziest research areas. Proposing a design for any sensor network routing protocol needs to concentrate on extending the network's existence. Minimizing energy consumption leads to an extension of the life of the network. Routing Protocol for Low power and Lossy Networks (RPL) is the routing protocol designed by IETF especially which meets the necessities of the constrained environments in IoT. This research article attempts improve performance of the RPL protocol by incorporating the soft-computing techniques. Here, a fuzzy logic-based approach is used which considers DIO_MIN as the essential factor/metric to improve the performance of RPL (i.e., reducing the energy consumption). The COOJA simulator is used for performing the simulations and assessment purpose. Results obtained from this research prove that fuzzy logic can be exercised to improving routing protocol quality (i.e., RPL) in terms of energy consumption.
Research on Feature Selection using SVM
Authors:   Research Scholar, Rajah Serfoji College, (Affiliated to Bharathidasan University), Tamil Nadu, India., Pushpam* C.Amali , Jayanthi J.Gnana ,   Assistant Professor, Dept.of Computer Science, Rajah Serfoji College, (Affiliated to Bharathidasan University), Tamil Nadu, India
Published: December 2019

A very fast and efficient classification algorithm is imperative to any application. Nowadays all kinds of applications produce a huge volume of data. Handling these 5’V characteristics data is really very crucial. While processing data, data classification simplifies the mission. Though many classification algorithms are available, they are not up to the mark to meet the fast growing challenges of current digital world. To fill this gap, feature selection is integrated with classifiers, as Feature selection has proved its impact on performance of classifiers. SVM is one of the most frequently used classifier. In this paper, different feature selection methods have been analyzed by studying 21 articles. This survey makes public that SVM based feature selection works better and widely used. Also in feature selection, filter method is widely used.
Time Variant Multi Perspective Hierarchical Clustering Algorithm for Predicting Student Interest in Sports Mining
Authors:   Research Scholar, Department of Computer Science, Jamal Mohamed College (Autonomous), (Affiliated to Bharathidasan University), Tiruchirappalli, Tamilnadu, India., Ahamed* A.Basheer , Surputheen Dr. M. Mohamed ,   Associate Professor, Department of Computer Science, Jamal Mohamed College (Autonomous), (Affiliated to Bharathidasan University) , Tiruchirappalli, Tamilnadu, India.
Published: December 2019

Predicting performance of students in sports is analyzed and studied. There are many techniques identified for the prediction of sports interest and they are not producing expected value. Towards performance development, a novel time variant multi perspective hierarchical clustering approach towards user interest prediction. The proposed time variant model reads the sports log and groups them according to the time domain. The entire log has been split into different of clusters as like time window. Then using window log, the method splits the logs according to different sports. For each time window, the method identifies the list of actions or sports played or tagged or chat with other users. Using the class of log, the method identifies the category of sports log and for each category of sports, the method compute the sports strike strength (SSS). Based on the value of SSS, the method identifies the user interest. Similarly, the interest of the student at each time window has been identified and used to generate the knowledge. The proposed method improves the performance of sports interest prediction on students with less false ratio.
Chaotic Binary Sequence Generator based on Logistic Map
Authors:   Research Scholar, Department of Electronics and Communication Engineering, Dr. Ambedkar Institute of Technology, Bangalore, Karnataka, India., Murthy* K. Chidananda , Mandi Mahalinga. V. ,   Professor, Department of Electronics and Communication Engineering, Dr. Ambedkar Institute of Technology, Bangalore, Karnataka, India., Murali R. ,   Professor, Department of Mathematics, Dr. Ambedkar Institute of Technology, Bangalore, Karnataka, India.
Published: December 2019

Pseudorandom binary sequences find various applications in different areas such as security, communication, steganography and cryptography. The properties like sensitivity to initial condition, ergodicity, mixing property and dynamic behavior are used in the designing of random number generators known as chaotic systems. In this study, an efficient chaotic binary sequence generator using logistic map is proposed, implemented and analyzed. The proposed binary sequence generator generates 50 chaotic sequences by varying initial condition with fixed system parameter. Subsequently, the generated sequences are transformed to binary sequences using thresholding method. The output of binary sequences is statistically tested with FIPS 140-2 test suite in order to identify the specific properties expected for truly random binary sequences. The experimental results prove that the generated binary sequences possess identical characteristics of true random numbers and can pass all tests of FIPS 140-2 test suite.
DeepNeural Network with Particle Swarm Optimization algorithm based Cloud Resources Analysis and Prediction System
Authors:   Computer Science and Engineering Wing, Annamalai University, Annamalai Nagar,Tamil Nadu, India., Subalakshmi* Mrs. N. , Jeyakarthic Dr. M. ,   Assistant Director (Academic), Tamil Virtual University, Chennai, Tamil Nadu, India.
Published: December 2019

Deep Neural Network (DNN) classifier is a DL model for categorizing the exactness of systematic scaling orders in the groupings as an Administration (IaaS) layer of cloud computing. The hypothesis in the study is that calculation precision of scaling orders can be improved by demonstrating a reasonable time-arrangement expectation calculation dependent on the presentation plan after some time. In the examination, outstanding burden was considered as the exhibition metric, and DNN were utilized as time-arrangement expectation procedures. The aftereffects of the trial demonstrate that expectation exactness of DNN relies upon there mining task at hand plan of the framework under learning. Precisely, the outcomes demonstrate that DNN has better forecast exactness in the situations with occasional and expanding remaining task at hand plans, while DNN in predicting unexpected load design. In addition, particle swarm optimization (PSO) algorithm is applied for the optimal selection of hidden layer count to resolve the classical DNN model which has the issue of trapping into local minima and the need of manual selection of hidden layer nodes. Accurately, this study proposed a DNN-PSO design for a self-versatile expectation suite utilizing an autonomic framework technique. This suite can indicate the maximum appropriate forecast technique based on the performance design, which leads to more exact forecast outcomes
Naïve Bayes guided Binary Firefly Algorithm for Gene Selection in Cancer Classification
Authors:   Department of Computer Science and Engineering, Kongu Engineering College, Perunduai, Tamil Nadu, India., Rajalaxmi* Dr.R.R. , Gothai Dr.E. ,   Department of Computer Science and Engineering, Kongu Engineering College, Perunduai Tamil Nadu, India., Thamilselvan Dr.R. ,   Department of Computer Science and Engineering, Kongu Engineering College, Perunduai Tamil Nadu, India., Bindha Ms.P.Gokila ,   Department of Computer Science and Engineering, Kongu Engineering College, Perunduai Tamil Nadu, India, Natesan Dr.P. ,   Department of Computer Science and Engineering, Kongu Engineering College, Perunduai , Tamil Nadu, India.
Published: December 2019

The bioinformatics research must deal with the analysis of the large volume of data. Disease classification deals with the identification of relevant genes in almost all gene expression analyses, where researchers attempt to select a minimum number of genes with exceptional performance. The gene selection process mainly selects significant genes related to the disease. This work aims to accomplish relevant genes from large volume of candidate genes that help to identify cancers. In the proposed work, Binary Firefly Algorithm (BFA) helps to identify related genes using the Naive Bayes classifier. Based on the experimental results, Naïve Bayes guided Binary Firefly Algorithm (NBBFA) provided high accuracy with fewer genes
Development of a Therapeutic Mobile Application for Indian Autistic Children
Authors:   Computer Science and Engineering, Kongu Engineering College, Perunduari, Erode, Tamil Nadu, India., Kanimozhiselvi* Dr.C.S. , Kalaivani Ms.K.S. ,   Computer Science and Engineering, Kongu Engineering College, Perunduari, Erode, Tamil Nadu, India., Poonguzhali Dr.S. ,   Computer Science and Engineering, Kongu Engineering College, Perunduari, Erode, Tamil Nadu, India., Jayaprakash Mr.D. ,   Computer Science and Engineering, Kongu Engineering College, Perunduari, Erode, Tamil Nadu, India.
Published: December 2019

Autism is a serious, incurable mental disorder that hampers one's ability to interact and communicate. This disorder may be present as early as 18 months of age and can diagnose from early childhood. In recent times, one in every 68 children diagnosed with Autism Spectrum Disorder (ASD). Early diagnosis, social acceptance of kids suffering from this disorder and clearing misconceptions about the same is extremely important for social welfare. As of now, intervention is not of good quality in India and needs an institution building and professionalization to create real impact. Hence, it is necessary to provide autism intervention and therapies in school as well as in home to students from the age group of 2 to 16. Hence, there is a necessity to develop a mobile app, which will help the parents and teachers to train the autistic children. This mobile app will act as a therapeutic app and can offer help to caregivers in performing therapy and increase the time a child is engaged to therapy at reasonable cost.
Classification of Breast Cancer using Deep Learning Architecture
Authors:   Department of CSE, Kongu Engineering College,Erode, Tamilnadu, India, Krishnakumar* B. , Kousalya Dr.K. ,   Department of CSE, Kongu Engineering College,Erode, Tamilnadu, India., Mohana Dr.R.S. ,   Department of CSE, Kongu Engineering College,Erode, Tamilnadu, India., Dinesh Dr.K. ,   Department of CSE, Kongu Engineering College, Erode, Tamilnadu, India., Santhiya S. ,   PG Scholar, Department of CSE, Kongu Engineering College, Erode, Tamilnadu, India.
Published: December 2019

Human beings are affected by several diseases nowadays. All those diseases are healable with minimal amount of treatment when they are identified at its early stage. Several patients were not serious enough in diagnosing the disease initially, which makes the disease incurable for the patient lifelong. Hence in recent days number of death rates are getting increased. Cancer is the most dangerous diseases. Among several types of cancers women are mostly affected by breast cancer. In most of the developing and under developing countries breast cancer is the most prominent reason for women mortality. It is also curable when it is identified at its starting stage. During the later stages the cancer cells will be disseminated all over body hence it is difficult to remove it completely. Hence it has to be identified at its initial stage in order to give best treatment for the patient at right time. In this paper , Convolution Neural Network (CNN) a deep learning model is proposed for the investigation of breast cancer images for finding whether the person is affected by cancer or not. In the proposed work , features from images are extracted using convolution layers and then it is passed to the fully connected layer where it classifying the images as either malignant or benign. Experiments using standard benchmark datasets for the proposed CNN Model and standard Visual Geometry Group Network (VGGNet) has been conducted to measure its performances. From the results ,it is clear that CNN outperformed with the accuracy of 86.32% when compared to VGGNet which provides only 50% accuracy for the identification of breast cancer.
Lung Nodule Detection: Image Enhancement using Fuzzy Rule Based Contrast Limited Adaptive Histogram Equalization and Entropy Weighted Residual Convolution Neural Network Method in CT
Authors:   MSc, M.Phil, , Research scholar, Department of Computer Science, Kongunadu Arts and Science College, Coimbatore, Tamil Nadu 641029,India, laksshmi K.S. Gowri , Umagandhi Dr.R. ,   MCA, M.Phil, PhD, Associate Professor and Head Department of Computer Technology, Kongunadu Arts and Science College, Coimbatore, Tamil Nadu 641029, India.
Published: December 2019

Computed Tomography (CT) images are read by several lung nodule detection methods. The early step of contrast enhancement is mandatory because of low contrast in original image and further techniques of image processing are with unsatisfactory results. Hence this process are resulted an enhanced image of clearly discrete lung area from background. Image enhancement, feature extraction, and classification are three primary steps. In this work, Rule based Contrast Limited Adaptive Histogram Equalization (FRCLAHE) perform image enhancement step followed by feature extraction and Fuzzy Rule (FR) determines the contrast value. From rules upper contrast value are determined then image is enhancement from CLAHE. In the second, the feature extraction is conducted using the Fuzzy Continuous Wavelet Transform (FCWT) and Gray Level Feature Extraction (GLCM). After this step, the classification is completed using the Entropy Weighted Residual Convolution Neural Network (EWRCNN). Finally, the results are evaluated between the samples, compared to FP reduction with Faster R-CNN alone, the inclusion of rule‐based classification lead to an improvement in detection accuracy for the CAD system. These preliminary results demonstrate the feasibility of the proposed EWRCNN approach to lung nodule detection and FP reduction on CT images.
Adoption of Pulse Technology: An Effective Way to Meet Protein Deficiency of Rural People
Authors:   Ph.D. Scholar, AMITY University, Noida, UP, India., Behera* N.K. , Malik G.K. ,   Guide of the Scholar, Assistant Professor, AMITY University, Noida, UP, India.
Published: December 2019

Pulses are the integral part of farming system of Odisha. The production and productivity of pulses has not been increased for a long period. To supplement protein requirements of the rural population there is need to increase production level through adoption of recommended technologies. Besides to improve overall farming system the contribution of pulses in terms of enriching soil fertility, conservation of moisture and controlling of weeds are to be kept in mind. The present transfer of pulse technology system is quite weak which needs strengthening. The rate of adoption of pulse technologies stands with a gap of more than 50% along with problems of non availability of quality seeds and other inputs in time. To look at the future of pulse production in the state the steps like cluster approach, establishing of seed production centres,, variety wise seed plan, strengthening of Extension support, making input available in time at affordable cost, research linkage, year wise Production Program and Development of marketing chain for pulse are suggested based on the findings of the study.
GIS Based Assessment of Satellite Town of Jaipur City for Sub Urban Planning
Authors:   Poornima Institute of Engineering and Technology, Sitapura, Jaipur, Rajasthan, India., Dadhich* Pran Nath , Sharma Deepak ,   Swami Keshwanand Institute of Technology, Ramnagaria, Jagatpura, Jaipur, Rajasthan, India
Published: December 2019

Explosive increase in urban population especially in major cities and towns has brought the strain on sustainable development of the city. Jaipur is one of the rapidly growing cities of India, facing several problems. One of the major issues is to find new area as well as restricted areas for further urban development. Therefore effective and efficient planning becomes mandatory for sustainable development of Jaipur. This research aimed to ascertain the built up growth of Jaipur city and its satellite towns; as well as connectivity of satellite town with all the basic amenities and facilities. In this paper satellite images are used to map built up growth and proximity analysis using GIS deployed for assessing connectivity to Jaipur city. Built up are showed enormous increase for Jaipur city and its satellite towns in last four decades. However proximity analysis provided details of distance to basic amenities and facilities from all towns. Although all towns are very well connected with road network but distances from facilities and basic amenities are almost lie in the range of 30-40 km, which indicated requirement of efficient transportation to avail facilities. Results can be used as preliminary guidelines for local governments and planners regarding development and management to achieve sustainable city.
Critical Assessment of Phases of Partitioning and Offloading Tasks in Edge Computing
Authors:   Research Scholar Department of Computer science and Engineering, Singh* Kulvir ,   Shri JJT University Jhunjhunu Rajasthan, India., Sharma Dr. Yogesh Kumar ,   Associate Professor (HOD/Research coordinator), Department of Computer science and Engineering; Shri JJT University Jhunjhunu Rajasthan, India.
Published: December 2019

Edge computing defeats high correspondence defer weakness of customary distributed computing and furnishes figuring administrations with high unwavering quality and high transfer speed for cell phones. At present, edge processing has turned into the front line and hotspot of versatile edge distributed computing (MEC) look into. In any case, with the expanding prerequisites and administrations of versatile clients, offloading procedure of straightforward edge registering is never again relevant to MEC design. This paper advances another astute calculation offloading based MEC design in blend with man-made brainpower (AI) innovation. As indicated by the information size in calculation undertaking of portable clients and the exhibition highlights of edge figuring hubs, a calculation offloading and task relocation calculation dependent on errand expectation is proposed. The calculation task expectation dependent on LSTM calculation, calculation offloading procedure for cell phone dependent on errand forecast, and undertaking relocation for edge cloud planning plan are utilized to help with upgrading the edge processing offloading model.
Use of an Integrative Research on the Education System
Authors:   Assistant professor of Bukhara State University, Uzbekistan., Dilorom* Yuldasheva , Ruqiya Ashurbayeva ,   Lecturer at the Department of Pedagogy, Psychology and Languages of the Bukhara State Medical Institute, Uzbekistan., Shakhlo Asadova ,   Researcher of Bukhara State University, Uzbekistan., Dildora Yusupova ,   Researcher of Bukhara State University, Uzbekistan.
Published: December 2019

This article discusses the effectiveness of integrated learning in native language teaching in secondary schools. This article mainly focuses on the coordinating native language lessons based on integrated education , in consequence, adducing preventive ways the educational process from falling into the same position and prevents students from losing interest in the lessons, privileges of teachers to work on their own and ensure that quality education remains in the system.
The Essence and Content of Problem Based Learning
Authors:   senior teacher of pedagogy and psychology Department at the Tashkent Medical Academy, Tashkent, Uzbekistan, Malokhat* Komilova , Feruzahon Iskanjanova ,   teacher of pedagogy and psychology Department at the Tashkent Medical Academy, Tashkent, Uzbekistan., Ruzakhon Melibaeva ,   associate professor of pedagogy and psychology department at the Tashkent Medical Academy, Tashkent, Uzbekistan., Masuda Hashimova ,   associate professor of pedagogy and psychology department at the Tashkent Medical Academy , Tashkent, Uzbekistan., Shokhida Raupova ,   senior teacher of pedagogy and psychology department at the Tashkent Medical Academy, Tashkent, Uzbekistan.
Published: December 2019

the article analyses the efficiency of using problem based learning in teaching process. The problem arises in a specific learning environment, where purposeful instruction is provided through specific pedagogical tools. It is also necessary to develop specific ways to create such situations, based on the nature of the topics studied. Thus, the problem based teaching is not simply a state of mental work associated with an "unexpected obstacle in the way of thinking". At the same time, it should be noted that not every problem is related to the problematic situation. Problem-based learning has a great potential for enhancing students' cognitive functioning while understanding and assimilating knowledge, and determining their active attitude to the environment. In problem based teaching, the teacher organizes the students' cognitive activity so that students can independently solve intellectual difficulties, draw conclusions and generalize, formulate laws, and apply the acquired knowledge to a new situation, based on the analysis of the disciplines.
Modular Teaching Technology Based on Scientific Activity
Authors:   Tashkent medical Academy, Department of “Social science”, senior lecturer, Tashkent, Uzbekistan., Kholida* Sultanova , Akhrarova Zebuniso ,   National University of Uzbekistan, Department of “Pedagogy and psychology”, candidate of Pedagogical science, Tashkent, Uzbekistan., Mamura Dekhkanova ,   Tashkent Railway Engineers Institute, Department of "Social-humanities" associate professor, candidate of Pedagogical Sciences, Tashkent, Uzbekistan., Gulbakhor Isanova ,   National University of Uzbekistan, Department of "Civil society and law education", senior lecturer, Tashkent, Uzbekistan., Kadamboy Musaev ,   Tashkent medical Academy, Department of “Public health organizations and health management”, assistant, Tashkent, Uzbekistan.
Published: December 2019

the article is based on analyzing the effectiveness of implementing modular training technology in teaching process and in the process of scientific activity. As well as, author analyses the steps of its usage. A module is a separate unit that includes theoretical material, training tasks, and methodological recommendations for students. The constituent element of the module is control questions and tests, as well as keys for self-checking or mutual checking. By studying the module, students achieve a specific didactic or pedagogical goal. The content of the training session is constructed from several logically interconnected modules, each of which solves a specific educational task. The execution of the module is given a fixed time. Together, all modular blocks are aimed at achieving substantive and personal results. The module is an independent structural unit, which in some cases allows individual students to listen to not the entire course, but only a number of modules. This allows you to optimally plan the individual and independent work of gifted students. For the active introduction of modular learning technology, it is necessary to increase student motivation. Pupils should have a well-developed ability of independent cognitive activity. It is important that the material base of the educational institution makes it possible to provide students with individual sets for working in modular lessons.
Inheritance Problems of Domen's Names
Authors:   Senior lecturer of the Department Civil procedure and economic of Procedural Law, Tashkent State University of Law, Tashkent, Uzbekistan, Gulrukh* Mamaraimova
Published: December 2019

This article is devoted to the problem of legal issues which inherit the intellectual rights of a domain name administrator in the modern Republic of Uzbekistan from the perspective of global trends. Due to the special nature of intellectual rights to the results of creative activity and objects equated to them, there are some features of their transition in the order of inheritance, as well as registration of the rights of heirs, which are not reflected in the norms of the Civil Code of the Republic of Uzbekistan Moreover, inheritance of administrator rights as domain names as a means of individualization is not regulated at all. Civil law of the Republic of Uzbekistan is devoted to the detailed regulation of general provisions on inheritance, grounds for inheritance, acquisition of inheritance, as well as inheritance of certain types of property. Special rules on the inheritance of administrator rights domain names are not included in the relevant chapters of the fifth section of the Civil Code of the Republic of Uzbekistan, and are not governed by other normative legal acts adopted in accordance with it. In this article, we have analyzed the legislation of foreign countries and the scientific research on inheritance in domain names. The possibility of inheritance of rights to domain names is analyzed and proposals are developed according to the legislation of the Republic of Uzbekistan.
Impact of Employee Empowerment on Productivity
Authors:   Professor , School of Management Studies,. Bannari Amman Institute of Technology , Sathyamangalam Erode, Tamilnadu, India., Ashok* Dr. J.
Published: December 2019

When a key word of employee empowerment is searched on google, it results in .49 seconds about 4,47,00,000 links, which shows the significance of employee empowerment in present advanced economy. As indicated by an article of Harvard Business Review in 2018, when employees are empowered at work, there are exemplary outcomes appeared regarding work execution, work fulfillment and duty towards the organization It additionally motivates the employees to work additional hour, require an additional work to exta mile, start the accepted procedures at organizations, have clear correspondence channels and being proactive to the change. Be that as it may, this made the analyst to take up this examination to recognize the effect of worker strengthening on authoritative profitability. The research was conducted in the selected retail organizations in Mumbai. a structured questionnaire was administered to 320 employees at various levels. The results showed if the leaders were empowered, they could develop team to be more creative and helpful. It was also found out from the research that empowered employees don’t always boost the performance.
Early Reviewers Prediction and Spammer Detection on E-Commerce Websites
Authors:   Computer Science and Engineering, Anurag Group of Institutions, Hyderabad, India., Kumar* Jayendra , Sirisha Palakusha ,   Computer Science and Engineering, Anurag Group of Institutions, Hyderabad, India.
Published: December 2019

Reviews which are posted online play a vital part in present world as most of the customer's purchase items through an e-commerce website. Reviews which are posted on websites at an early stage known as early reviews, even though their contribution is very small their opinions determine new product's success and failure. Most of the spam reviews are written to improve their profit and promote their products and defame other products. In this system, the concentration is mainly on early reviews of the products and the products categories ranking on e-commerce websites i.e., Amazon. The analysis of reviews of product defines ratings of early reviewers’ and helpfulness scores of them are probably influencing product promotion additionally this model is enhanced with ranking and spammer detection.
The Effect of colour temperature of light on egg production parameters and gene expression pattern of Heat Shock Protein 27 in layers
Authors: EL-Emam Huda , Ateya Ahmed , Araby Iman , Abou-Ismail Usama , Fouda Mohamed
Published: December 2019

Objective: To evaluate the effects of different light colour temperatures on egg production parameters and heat shock protein gene expression (HSP 27) in Fayoumi chicken layers. Animals: 165 Fayoumi healthy pullets (17 weeks). Design: Randomized-controlled experimental study. Procedure: The birds were exposed to natural day light with photoperiod 12L: 12D, from 19th week, lighting schedule was gradually increased half an hour every week till it reached 16L:8D lighting schedule at laying at 24 weeks of age. At laying, the birds were allocated into three groups at a density of 9 birds/m2. The first group (control group) was exposed to cool white LED light (day light) (6500 kelvin). The second group was exposed to very cool white LED light (sky blue light) (10000 kelvin). The third group was exposed to warm white LED light (yellow light) (2700 kelvin) till the end of the experiment. Eggs were collected daily; egg number, weight and mass were recorded for each group. Liver samples were collected for RNA extraction. Results: The results showed that egg number, egg weight and egg mass were significantly increased in blue light group (P ≤ 0.05) and HSP 27 gene expression was significantly upregulated (P ≤ 0.05) in this group of chicken in comparison to the control group. Conclusion and clinical relevance: It is concluded that the blue LED light may be suitable for use in layer farms to optimize reproductive efficiency of birds.