bluuebunny/crossref_metadata_2025 huggingface dataset:
Efficiency of the New Fodder Additive for the Production of Lamb
Authors:   Volga Region Research Institute of Production and Processing of meat and dairy products, Volgograd,Russia, Ivanovna Slozhenkina Marina , Fedorovich* Gorlov Ivan ,   Doctor of Agricultural Sciences, Professor, Academician of the Russian Academy of Sciences; Volga Region Research Institute of Manufacture and Processing of Meat-and-Milk Production and Head of the Department of Food Production Technology Volgograd State Technical University, Volgograd, Russia;, Aleksandrovna Mosolova Darya ,   Russian Economic University named after G.V. Plekhanov, Moscow, Russia, Alexeevna Slozhenkina Alexandra ,   Volgograd state technical university, Russia, Volgograd, Russia
Published: January 2020

This article presents material on the study of the efficiency of raising Edilbayev sheep using a new feed supplement and assesses its effect on increasing the meat productivity of animals and improving mutton indices. To do this, we at Volgograd-Edilbay SGC LLC selected 30 animals of the Edilbayev breed of 7 months of age in two experimental groups according to the principle of pair-analogues with 15 animals each. The rams who received the standard diet were included in the control group, and their analogues, which were introduced a new feed additive in the diet, were included in the experimental group. The duration of the experiment was 105 days. In this case, the preparatory period of the experiment is 10 days, the transitional period is 5 days, the main one is 90 days. As a result of the experiment, it was found that at the end of the experiment, the rams of the experimental group exceeded their counterparts in the control group in live weight by 2.9 kg, or 5.72% (P≥0.999). As a result of the control slaughter, it was established that by the pre-slaughter mass, the rams of the experimental group are 1.65 kg or 3.35% more than analogues of the control group (P≥0.95); weight of fat tail fat - by 0.35 kg, or 13.21%; slaughter mass - by 1.49 kg, or 5.23% (P≥0.99); slaughter yield - by 1.09%, respectively. A study of the chemical composition of lamb showed that in the content of the rams of the experimental group in the meat, iodine was 0.08 μg / g more than the analogues of the control group (P≥0.95); silicon - at 3.92 μg / g; selenium - at 0.12 μg / g (P≥0.99); zinc - at 6.0 μg / g, respectively. According to the content of fatty acids, tail fat obtained from animals of the control and experimental groups differs in favor of the experimental group. Saturated fatty acids in turkey fat of animals from the experimental group contain 61.34%, which is 3.22% higher in comparison with the control group. Unsaturated fatty acids in animals of the experimental group contain 38.66%, which is 3.17% less in comparison with the control group. Thus, the highest results in meat productivity, chemical composition, and the amount of saturated and unsaturated acids were obtained from edilbaevsky rams that received a new feed supplement.
Age-Specific Meat Productivity of Young Edilbay Sheep
Authors:   Volga Region Research Institute of Manufacture and Processing of Meat-and-Milk Production, Volgograd, Russia. Volgograd State Technical University, Volgograd, Russia., Fiodorovich* Gorlov Ivan , Aleksandrovna Mosolova Darya ,   Plekhanov Russian University of Economics, Moscow, Russia., Shakhbazova Olga Pavlovna ,   Don State agrarian university, Rostov-on-Don, Russia., Radzhabov Rasim Gasanovich ,   Don State agrarian university, Rostov-on-Don, Russia., Ivanova Nadezhda Vasylevna ,   Don State agrarian university, Rostov-on-Don, Russia.
Published: January 2020

Among breeds of sheep meat-greasy directions productivity one of the prospective is edilbaevskoy breed. Due to the high maturing-STI, meat productivity and adaptability to arid conditions edilbaevskoy sheep are the most competitive. Young sheep are characterized by high slaughter qualities, especially lambs, slaughtered at an early age. This makes it possible to use them to produce high-quality lamb (lamb). The article analyzes the regularities of growth and development of young edilbaevskoy breed, it is established that the chemical composition of mutton affect the breed, age, sex, fatness, conditions of co-holding. With the age of animals at slaughter yield increases. Thus, the increase in slaughter yield in the period from 2 to 4 months of age was 2.9%, from 4 to 7 months of age-was 4.5%, from 7 to 10 months of age – was 6.7%, from 10 to one year of age-the increase was 1.6%. And for the entire period of cultivation from birth to one year of age - the increase in slaughter yield was 10.7%.A positive correlation was established between the pre-slaughter live weight of animals with total protein in blood serum at 4-month age it was 0.54, and at 7-month - 0.51. Studies have found that the strongest correlation with a high level of reliability (P>0.99) is between total protein, albumins and pre-slaughter live weight at 4 months of age. A globulin fraction of proteins has no significant correlation with the live weight of rams in different periods of growth (P>0.99). Consequently, with increasing concentration of total protein in serum increases pre-slaughter live weight. Thus, in order to obtain mutton, complete in biochemical and morphological composition and in high demand on the market, it is recommended to slaughter sheep of the edilbaevsky breed at the age of 4 months when they reach a live weight of at least 40 kg and a carcass weight of at least 16 kg.
Examination on GGBS based Geopolymer Mortar at elevated temperatures
Authors:   UG Student, Department of Civil Engineering, Koneru Lakshmaiah Educational Foundation, Vaddeswaram, AP, India., Bhavana* B. , Devi M. Bramarambika ,   UG Student, Department of Civil Engineering, Koneru Lakshmaiah Educational Foundation, Vaddeswaram, AP, India., Kumar B. Sarath Chandra ,   Associate Professor, Department of Civil Engineering, Koneru Lakshmaiah Educational Foundation, Vaddeswaram, AP, India., Sravanthi D. ,   PG Student, Department of Civil Engineering, Koneru Lakshmaiah Educational Foundation, Vaddeswaram, AP, India.
Published: January 2020

In India approximately 120 million tonnes of flyash is produced every year from thermal power stations and enormous quantities of stone dust, a waste product, produced from the aggregate crusher units at the time of rubble crushing. Usage or disposal of this by-product within the framework of its economic structure becomes a challenging problem to every country because of increasing interest in conservation of energy and resources and growing concern with environmental issues. Also Land disposal becomes a serious problem due to scarcity of land. Due to this the M-sand and GGBS is used as ingredients in mortar which enhance the properties of mortar and utilization of M-sand is helpful for consumption. To study the alkaline solution of NaOH and Na2SiO3 is mixed with processed fly ash to become geopolymer mortar. This mortar cubes at different molarities and different temperature so as to increase the strength of the cubes.
Dynamic Simulation of Tilted Rotor Quadcopter
Authors:   Faculty of Mechanical Engineering, Universiti Teknologi MARA, Shah Alam, Selangor, Malaysia., ‘Adzam Muhammad Nur Akmal Noor , Kuntjoro Wahyu ,   Faculty of Mechanical Engineering, Universiti Teknologi MARA, Shah Alam, Selangor, Malaysia., Abdullah* Mohd Razip ,   Industrial Centre of Innovation in Smart Manufacuring, SIRIM Berhad, Bukit Jalil, Kuala Lumpur, Malaysia., Nasir Rizal Effendy Mohd ,   Faculty of Mechanical Engineering, Universiti Teknologi MARA, Shah Alam, Selangor, Malaysia.
Published: January 2020

Application of quadcopter unmanned aerial vehicle (UAV) has already become common today. As the name suggests, quadcopter has four rotors and these rotors can be classified into two types: fixed and tilted rotors. The maneuvering of quadcopter using the fixed rotor is achieved through the thrust differential. On contrary, a tilted rotor can be rotated or tilted and the resultant thrust component will move the quadcopter longitudinally. In this study, the dynamic behavior of HMF SL300 tiltrotor quadcopter is analyzed through simulation. The study is limited to longitudinal behavior of the HMF SL300 tiltrotor quadcopter in z- and x-axis. A Simulink model has been developed based on the longitudinal dynamic model of the quadcopter and acceleration, velocity and displacement of the quadcopter in z- and x-axis when the tilt angle is varied are presented. Based on the findings from the simulation, it can be concluded that the higher the tilt angle, the higher the rate of motion in x-axis but the lower the rate of motion in z-axis.
Multirotor for Medical Aid Kit Transport
Authors:   Malaysia Institute of Transport (MITRANS), Universiti Teknologi MARA Shah Alam, Malaysia, Salleh* N F M , Mohamed W M W ,   Malaysia Institute of Transport (MITRANS), Universiti Teknologi MARA Shah Alam, Malaysia., Nasir R E M ,   Flight Technology and Test Center (FTTC), Faculty of Mechanical Engineering, Universiti Teknologi MARA Shah Alam, Malaysia., Mutaáli A B A ,   Flight Technology and Test Center (FTTC), Faculty of Mechanical Engineering, Universiti Teknologi MARA Shah Alam, Malaysia., Zainurin S ,   Flight Technology and Test Center (FTTC), Faculty of Mechanical Engineering, Universiti Teknologi MARA Shah Alam, Malaysia.
Published: January 2020

The popularity of the multirotor or unmanned aerial vehicle (UAV) is rapidly growing in the field of aerial robotics. In fact, multirotor has now become a standard platform for robotics research worldwide and it has been increasingly used for various constructive purposes across several sectors. Traffic congestion in urban areas has caused a longer time to deliver medical aid kits to the accident sites. Many patients in remote areas with limited road access will need to travel further and consequently take a longer time to reach healthcare centers for their medical needs. In view of this situation, medical drones have the potential to resolve these problems. However, Malaysia has limited regulations and studies regarding the transportation of medical aid kits using multirotors. This study is conducted to develop a multirotor for deployment of medical aid kits. The proposed multirotor is a hexarotor, equipped with Pixhawk flight controller and payload release mechanism, known as NAMTOR 3. From the preliminary flight tests to assess the performance of NAMTOR 3, it has been found that NAMTOR 3 is stable during flight and ready for deployment.
Effect of Nanoiron Particles Reinforced Blended Polymer Nanocomposites on Mechanical Properties
Authors:   Professor in Department of Mechanical Engineering in Institute of Aeronautical Engineering, Hyderabad, India., Raghavulu* Dr. Paidi , Kumar G Dr Naveen ,   Associate Professor in Department of Mechanical Engineering in Siddhartha Institute of Technology and Sciences, Hyderabad, India., Rao Dr P Srinivasa ,   Professor and HOD in the Department of Mechanical Engineering in Vardhaman College of Engineering, Hyderabad, India.
Published: January 2020

We report on the preparation of nanocomposites using epoxy and vinylester blend in which nanoiron filler was dispersed to evaluate the mechanical performance. Different weight ratios viz.1,2,3,4,5 & 7wt.% of nanoiron particles were dispersed into the matrix to prepare different systems to evaluate the optimization of performance. Nanoiron was also prepared by chemical reduction method and nanocomposites were prepared by hand layup process. Three blade Mechanical stirrer and ultra-sonicator was used while preparing the modified to keep the non-homogeneity nanoparticle at bay. Mechanical properties such as hardness, tensile strength, flexural strength, impact strength and compression strength properties were performed. Nanoiron particles functionalization nepotisms the fabrication composites through the remedial temperature at low as associated to the as-synthesised nano particles occupied vinylester nano composites. Mechanical property values improved owing to the standardized nanoparticle chemical bonding and spreading between vinylester matrix and nanoparticles. Then the combination nanoiron particles into the vinylester resin matrix it becomes magnetically harder. Machines generated mechanical property values were compared and analysed with system generated software analysis of variance (ANOVA) values. Machine values and ANOVA values were measured for the specimens of epoxy+vinylester+nanoiron, where the nanoiron is varying viz. 1, 2, 3, 4, 5 and 7 wt.%.
Design of Efficient Complex Gate using 45nm Technology
Authors:   Department of Electronics and Communication Engineering, CMR Institute of Technology, Hyderabad, T.S, India, Alluri* Sudhakar , Mamatha D. ,   Department of Electronics and Communication Engineering, CMR Institute of Technology, Hyderabad, T.S, India, Mounika K. ,   Department of Electronics and Communication Engineering, CMR Institute of Technology, Hyderabad, T.S, India
Published: January 2020

In this paper, we designed complex gate which is having very good performance in terms of delay. This is achieved by increasing threshold voltage. The reduced delay and its percentage variation with respect to threshold voltage is shown below in the result analysis. Increasing of threshold voltage not only reduces delay but indirectly reduces leakage power consumption. Now-a-days Efficient Complex Gate using 45nm technology is preferable because of its delay and power.
Stabilization of Black Cotton Soil by using the Admixtures of Pond Ash and Lime
Authors:   Under Graduate Department of Civil Engineering K L E F (Deemed to be University), Green Fields, Vaddeswaram- 522502, Guntur (Dist.), Andhra Pradesh, India., Sravan* D.V.K. , Devanand K. ,   Under Graduate Department of Civil Engineering K L E F (Deemed to be University), Green Fields, Vaddeswaram- 522502, Guntur (Dist.), Andhra Pradesh, India., kasi K. Siva ,   Under Graduate Department of Civil Engineering K L E F (Deemed to be University), Green Fields, Vaddeswaram- 522502, Guntur (Dist.), Andhra Pradesh, India., Chamberlin K. Shyam ,   Associate Professor Department of Civil Engineering K L E F (Deemed to be University), Green Fields, Vaddeswaram- 522502, Guntur (Dist.), Andhra Pradesh, India.
Published: January 2020

we have done some experiments on black cotton soil to strengthen the soil. Black cotton soil is very expansive soil so it is not used under basements for any building works. So our experiment shows that how to use black cotton soil in building purposes. So that we have done researches on adding lime and pond ash to make useful of black cotton soil.Changes in various soil properties such as Liquid limit, Plastic Limit, Maximum Dry Density, Optimum Moisture Content were studied. Keywords– Black cotton soil, density, will lime, soil, and stabilization. So we have done the some mixed proportions of 10%, 15% and 20% of pond and lime. So we utilize the waste material which comes from the thermal power plant. By that we can decrease the rate of expenditure for the construction of roads Based upon the performance of the test such as standard proctor test and other to know the required amount of the material to stabilize the black cotton soil.
Smart PRAM for Bedridden Patients with Self-healing ability for Health Monitoring Applications
Authors:   Department of Electrical and Electronics Engineering, Kongu Engineering College, Erode, India., M* Karthik , S Usha ,   Department of Electrical and Electronics Engineering, Kongu Engineering College, Erode, India.
Published: January 2020

The word inability is the major threat among the people which focus on which aspect they differ from one to the other. Mobility aids were introduced to ease the mobility of the patients so that they can perform the normal activities to manage the way they differ. The normal activities that a person could perform provide a good mental health to the patients. Generally, the patients are kept in the bed and then transferred to the stretcher in case of any emergency; this transfer may injure the patient as he is already a sufferer. Sometimes the patient who is already confined to bed uses wheelchair for their movement, but the earlier designs of wheelchair could not provide the position of comfort to the patient. All these issues have got a solution through the design of wireless heartbeat monitoring PRAM which provides the comfort position and the degree of comfort could also be adjusted according their comfortness. In addition this could also monitor the pulse rate and the temperature of the patient who avail the pram. The position of the wheelchair could adjust itself if the sensed parameters are abnormal. Hence the wheelchair and stretcher are the commonly used mobility aiding parameters that would need a revolution to ease the purpose and this becomes possible by this electrical design..
Soil Characterization in Areas near River Bhavani Basin, Tamilnadu
Authors:   Assitant Professor, Civil Engineering, AVIT, Paiyanoor, Tamil Nadu, India., Nivetha* C. , Divahar R. ,   HOD & Professor, Civil Engineering, AVIT, Paiyanoor, Tamil Nadu, India., Kavitha T.Mohana ,   Government College of Technology, Coimbatore, India., Kumar P Divaker D, Manoj ,   UG Students, Civil Engineering, AVIT, Paiyanoor, Tamil Nadu, India.
Published: January 2020

The fertility of soil near Kalingarayan Canal is assessed in this study. Samples were collected from 9 locationsnamely Panjalingapuram (north),Kolathupalayam I (South), Kolathupalayam II (north), Unjalur I (north east), UnjalurII (hospital), Perumparai, Vadakupudupalayam I (north),Vadakupudupalayam II (south) and Sallikadu. Among these soils of nine sampling stations, the soil of Panjalingapuram (north) had average nutrient status. The nutrient status of all soil samples are in poor condition which affects the yield of the crops. This induces the more usage of synthetic fertilizers. The soil sample collected from sampling station Vadakupudupalayam I (north) has worst quality. This may further induce to elevate the use of artificial fertilizers for sufficient crop yield and reduce there by the fertile nature of the soil.
A CNN based Speaker Recognition System using an Alternate Bone Microphone
Authors:   SCSE, Vellore Institute of Technology, Chennai, India., Nawas K* Khadar , Khan A Nayeemulla ,   SCSE, Vellore Institute of Technology, Chennai, India.
Published: January 2020

State-of-art speaker recognition system uses acoustic microphone speech to identify/verify a speaker. The multimodal speaker recognition system includes modality of input data recorded using sources like acoustics mic,array mic ,throat mic, bone mic and video recorder. In this paper we implemented a multi-modal speaker identification system with three modality of speech as input, recorded from different microphones like air mic, throat mic and bone mic . we propose and claim an alternate way of recording the bone speech using a throat microphone and the results of a implemented speaker recognition using CNN and spectrogram is presented. The obtained results supports our claim to use the throat microphone as suitable mic to record the bone conducted speech and the accuracy of the speaker recognition system with signal speech recorded from air microphone get improved about 10% after including the other modality of speech like throat and bone speech along with the air conducted speech.
Geological Exploration in the Cryolite Zone: Reducing Environmental Risks by Ensuring the Temperature Condition
Authors:   Russian State Social University, Moscow, Russia., Merkulov* Mikhail Vasilyevich , Juraev Rustam ,   Navoi State Mining Institute, Republic of Uzbekistan., Shimorina Elena Fedorovna ,   Russian State Social University, Moscow, Russia., Borzova Tatyana Vasilievna ,   Russian State Social University, Moscow, Russia., Ananyev Sergey Alexandrovich ,   Russian State Social University, Moscow, Russia.
Published: January 2020

The article suggests one of the directions to solve the ecological problem of cryolite zone destruction during geological exploration. For the first time, the authors offer to use vortex tubes for this purpose. The technique is given and the results of experimental work on the use of a vortex tube to provide subzero temperatures of permafrost during drilling operations are considered. A scheme is proposed and mathematical modeling of the process is performed. As a result of the model study, the technological parameters ensuring the preservation of the cryolite zone are obtained.
Detection of fall using Embedded Device and Machine Learning Implementation
Authors:   Department of ECM, KLEF, Green Fields, Vaddeswaram, Andhra Pradesh, India., Sreenidhi* Illuri , Sneha Chatharajupalli Navya ,   Department of ECM, KLEF, Green Fields, Vaddeswaram, Andhra Pradesh, , India., Satyanarayana Penke ,   Department of ECM, KLEF, Green Fields, Vaddeswaram, Andhra Pradesh, India.
Published: January 2020

The health issues caused due to the abnormal and accidental falls increasing every day, some falls are even leading to death or fatal injuries. Such falls can cause trauma both physically and psychologically. To overcome these circumstances fall detection has become an important topic for researchers and scientists to provide better and effective solution. A proper detection of fall can save a life of human being be it any age by giving immediate required treatment. Generally alerting the concerned authorities regarding the fall happens to be crucial in the fall detection systems. There are many existing systems that tend to this problem but they all are heavily equipped and have some drawbacks. In this proposed system Raspberry pi4 is used with OpenCV for using MOG2 machine learning algorithm to detect the fall by concentrating only on the person. And for alerting the fall this system uses internet based REST API called TWILIO.
Candlestick Technical Analysis on Select Indian Stocks: Pattern detection and Efficiency Statistics
Authors:   Department of Technology Management, Vellore Institute of Technology, Vellore, India., M Manoharan. , Mamilla* Dr Rajesh ,   VIT Business School, Vellore Institute of Technology, Vellore, India.
Published: January 2020

Financial markets generate vast data every trading day. There are markets for equity shares, commodities, fixed income securities and currencies etc. Further, we do have organised markets for financial ddderivatives. The exponential growth of financial markets isthe order of the modern-day. Developments in information and communication technology (ICT) helped the growth of financial markets and its operations to greater heights. One of the financial market analysis is Candlestick Technical analysis also is known as Japanese candlestick charting. It is the oldest form of financial market analysis originated in japan. This study measured the occurrence and tested the efficiency of various bullish reversal candlestick patterns on 17 stocks of India’s leading stock market benchmark index NIFTY 50 for the period of 16 years from 2000 to 2015.Data mining with backtesting methodology is used to find the top 10 candlestick patterns with respect to the frequency of occurrence during the study period. The efficiency profitability is analysed using Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method , a multi-criteria decision making (MCDM) method on the backtested results for the 5-day holding period.The results of the study show that hammer (HMR), long engulfing pattern (LEB) and Rising window (RSW) are the top three ranked candlestick patterns.
Advanced Security Attacks on Vehicular AD HOC Network (VANET)
Authors:   Department of Computer Science and Engineering, Graphic Era Deemed to be University, Dehradun, Uttarakhand, India., Singh* Komal , Sharma Sachin ,   Department of Computer Science and Engineering, Graphic Era Deemed to be University, Dehradun, Uttarakhand, India.
Published: January 2020

VANET is becoming an emergent technology in Intelligent Transportation Systems. Their main purpose is to provide road safety and improve driving experience for both drivers and passengers. Other unique features of VANET include dynamic topology, short connection period, high mobility of nodes, etc However, security and privacy becomes major issues when communicating in such open wireless environment. In this paper, along with VANET characteristics, we presented security requirements and challenges that need to be kept in mind while designing a security protocol. We defined all existing security attacks and privacy issues in VANET. We categorized these security attacks into different classes based on their properties and provided the comprehensive analysis on them.
Bengali License Plate Detection using Viola-Jones Algorithm
Authors:   Department of Electrical and Electronic Engineering, American International University-Bangladesh, Dhaka, Bangladesh., Saleque* Ahmed Mortuza , Chowdhury Fahim Shahriar ,   Department of Electrical and Computer Engineering, North South University, Dhaka, Bangladesh., Khan Md. Rakin Ashraf ,   Department of Electrical and Computer Engineering, North South University, Dhaka, Bangladesh., Kabir Rashadul ,   Department of Electrical and Computer Engineering, Presidency University, Dhaka, Bangladesh., Haque AKM Bahalul ,   Department of Electrical and Computer Engineering, North South University, Dhaka, Bangladesh.
Published: January 2020

Image classification has been a rapidly developing field over the previous decade, and the utilization of Convolutional Neural Networks (CNNs) and other deep learning techniques is developing rapidly. However, CNNs are compute-intensive. Another algorithm which was broadly utilized and keeps on being utilized is the Viola-Jones algorithm. Viola-Jones adopts an accumulation strategy. This means Viola-Jones utilizes a wide range of classifiers, each looking at a different part of the image. Every individual classifier is more fragile than the last classifier since it is taking in fewer data. At the point when the outcomes from every classifier are joined, be that as it may, they produce a solid classifier. In this paper, we would like to develop a model that will be able to detect the Bengali license plates of, using the Viola-Jones Algorithm with better precision. It can be utilized for various purposes like roadside help, road safety, parking management, etc
Formation of Functional Competencies of University Students
Authors:   Department of Public-Law Disciplines, Kyiv International University, Kyiv, Ukraine, Savchenko* Lesia , Goncharova Olena ,   Department of Museology and Expertise of Historical and Cultural Values, Kyiv National University of Culture and Arts, Kyiv, Ukraine, Zaytseva Inna ,   Department of Journalism, Ukrainian Literature and Culture, University of the State Fiscal Service of Ukraine, Irpin, Kyiv region, Ukraine, Polishchuk Lіudmyla ,   Event Management and Leisure Industry Department, Kyiv National University of Culture and Art, Kyiv, Ukraine, Alieko Oksana ,   Department of Preschool Education and Social Work, Donbas State Pedagogical University, Slavyansk, Ukraine, Kakhiani Yuliia ,   Department of Preschool Education and Social Work, Donbas State Pedagogical University, Slavyansk, Ukraine
Published: January 2020

The universal technology of work with the formation of functional competencies of future professionals is described. The authors proposed methodology for the formation of functional competencies of university students, which consists of Functional card and Integrative model (model for improving the quality of education: block "management of the development of competencies of specialists in the system of continuing education"; block "certification and accreditation of specialists on the basis of the Institute of Postgraduate Education as a quality management center for continuing professional education"; block “Integration of the scientific potential of the university and the practical base as a factor in improving the training of specialists”) is due to the principles of consistency and constructive integrity. For clarity, the authors presented examples of two functional maps: consolidated group and summary functional card compared to the reference.
Classification and Forecasting of Bollywood Movies by Commercial Success using Back-Propagation Neural Network model
Authors:   M. Tech, Department of Information Technology, Indian Institute of Engineering Science and Technology, Shibpur PSN Academy, Bhadreswar, India., Nayak* Partha Shankar
Published: January 2020

Forecasting commercial success of motion pictures remained challenging for producers, critics and other industry leaders in this changing world of web and online media. In this study, the author has explored a back-propagation neural network model with 23 numeric input (BPNN-N23) for classification of Bollywood movies released during the years 2014 through 2017. The proposed model classifies movies in three classes namely “HIT”, “AVERAGE” and “FLOP”. Common procedures like data filtering, data cleaning and data normalization have been followed prior to feeding those data to the neural network. After comparing the performance of the proposed model with the benchmark models and works, the results show that the said model shows performance that is comparable to the published ones with respect to the assumed Indian empirical settings. This research reveals the extent of the effects and roles of the considered factors as well as the proposed model in predicting the fate of a Bollywood movie in India.
Development of Virtual Flow Sensor using Artificial Neural Networks
Authors:   Department of Electronics & Communications Engineering, Sri SatyaSai University of Technology and Medical Sciences, Sehore, India., Subbarao Gangiregula , Narayana K. Venkata Lakshmi ,   School of Electrical Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu, India., Kumar V.* Naveen ,   School of Electronics Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu, India., Sanghavi Pranav ,   Department of Computer Science and Electrical Engineering, West Virginia University, Morgan Town, West Virginia, USA.
Published: January 2020

In this paper, a virtual flow sensor using artificial neural networks (ANN) is proposed to improve the efficiency of an industrial flow control loops. In conventional flow-control loop, flow meters used for sensing flow rate in the feedback path cause pressure drop in the flow. This may increase the energy usage for propelling the fluid. The functional relation between the flow rate and the physical properties of the flow through the final control element such as control valve is known and the said properties namely pressure drop, temperature, and valve position are yielded from an experimental set-up. These properties are used as training data for ANN models to yield the fluid flow rate through the control valve. Here, the ANN acts as a virtual flow sensor. The feasibility of the proposed methodology is validated by using real measurement of flow and used them to model virtual flow sensor using the multi-layer perceptron artificial neural networks (MLP-ANN) with back propagation (BP) algorithm. Moreover, its practical proof of concept is demonstrated by implementing the trained MLP-ANN on a Spartan-3E-starter Field Programmable Gate Array (FPGA) unit through a hardware co-simulation.
A Framework for Digital Image Encryption using Chaotic Baker Map with SHA Algorithm
Authors:   Research Scholar, School of Computing Science and Engineering, Vellore Institute of Technology Chennai Campus, Chennai, India., Saravanan* S , Sivabalakrishnan M ,   Associate Professor, School of Computing Science and Engineering, Vellore Institute of Technology Chennai Campus, Chennai, India.
Published: January 2020

Recently, security for the image is becoming very important. Image Encryption is the only choice in protecting the digital image by transforming the image into an unreadable format. There are many methods used to protect against unauthorized access. This research proposes a framework for image encryption using Chaos Baker map with SHA-1 algorithm. The Chaotic Baker map is a randomization technique used to make the pixels more shuffled. Key generation is essential part of image encryption, which will be carried out by SHA-1 algorithm. Experimental results show that the proposed method is well suited for high security, key sensitivity and resists various attacks.
Bandwidth Distribution Algorithm of Applications in LTE-Femtocell Network
Authors:   Ramrao Adik Institute of Technology, Navi Mumbai, India., Jadhav* Anita B. , Rao Y. Srinivasa ,   Sardar Patel Institute of Technology, Mumbai, India,
Published: January 2020

The wireless communication has become the essential of today’s Internet of Things (IoT) and mobile applications which is increasing exponentially in near future. These applications demand high data rate to speed up the communication among IoT or internet applications. The data rate requirement of individual application is different. To fulfill these demands of every application Long Term Evolution (LTE) integrated with femtocell technology is identified as suitable wireless technology. The running applications on a user equipment changes dynamically. Hence in dense deployment of femtocell and IoT devices, the bandwidth distribution to many active applications becomes more complicated. For multiple running applications per device with available bandwidth constraint, optimal bandwidth allocation to applications has become the most challenging issue. We include the bandwidth allocation to applications during handover of user equipment in LTE-femtocell network. The handover procedure needs efficient cell selection criteria for target cell selection. Hence in our research we focus on bandwidth distribution among applications by proposing “Efficient Bandwidth Distribution” (EBD) mechanism and efficient cell selection by “Dynamic Cell Selection” (DCS) mechanisms to mitigate above mentioned issues.
A Novel Method to Detect and Classify Oral Cavity Cancer System
Authors:   Research Scholar, Saveetha School of Engineering, SIMATS, Chennai, India., Prabhakaran* R , Mohana J ,   Associate Professor, Saveetha School of Engineering, SIMATS, Chennai, India.
Published: January 2020

The primary objective of this article is to build a Computer Aided Diagnostic (CAD) technique for the segmentation of Oral cavity cancer. The frequency of oral cancer occurrence has been observed globally in recent decades. The death ratio from oral cancers is excessive and keeps on rising. This article has concentrated on oral Computed Tomography (CT) image pre-processing and segmentation techniques to enhance resolution of the image and readability to enhance classification outcome. The proposed model targeted on image pre-processing and segmentation steps to improve the resolution of the image, then enhance the precision of swelling recognition and classification. The American Cancer Society calculates that there will be almost 60,000 new patients and roughly 9,000 deaths from oral or throat cancer in 2017. The preliminary prediction of oral cancer is to check out the ocular areas cautiously and record the holes present in the teeth of the damaged person as true-color digital images. The choice about the extra cure of the oral cancer damaged person is principally based on the growth of the lesion. Oral cancers are a type of cancer, the place few irregular wounds or patches will present in the holes present in the teeth. As it is challenging to recognize it in the beginning states, it has one of the bad survival ratios. The suggested method receives the Computerized Tomography (CT) scanned images of the cancer damaged vicinity and can detect the presence of malignancy. The managing of oral cancer is a multidisciplinary attempt, as every damaged person provides the treating clinicians with a sole collection of difficulties, the managing of which affects on each living and high- condition of life.
Speech Recognition by Integrating Hidden Markov Model Correlated with Artificial Neural Network
Authors:   Research Scholar, Department of Computer Applications, BIHER - Bharath Institute of Higher Education and Research, Chennai, India., Shamrao* Kadam Sarika , Muthukumaravel A ,   Dean, Arts & Science, BIHER - Bharath Institute of Higher Education and Research, Chennai, India.
Published: January 2020

Now every day's speech recognition is utilized broadly in numerous packages. In software program engineering and electric constructing, speech recognition (SR) is the interpretation of verbally expressed words into textual content. it's miles otherwise referred to as "computerized speech recognition" (CSR), "pc speech reputation", or most effective "speech to text" (STT). A hid Markov model (HMM) is a measurable Markov model wherein the framework being verified is notion to be a Markov process with in mystery (shrouded) states. A HMM may be introduced as the least hard dynamic Bayesian system. Dynamic time warping (DTW) is a truly understood strategy to locate a really perfect arrangement among two given (time-subordinate) groupings underneath sure confinements instinctively; the groupings are distorted in a nonlinear manner to coordinate each other. ANN is non-immediately statistics driven self-versatile methodology. it can distinguish and research co-related examples between information dataset and evaluating target esteems. Within the wake of preparing ANN may be utilized to anticipate the end result of new unfastened facts.
Multi-Feature based Handwritten Script Identification at word level
Authors:   Department of Computer Science Gulbarga University, Kalaburagi, 585106, Karnataka, India, Ummapure* Suryakanth Baburao , Rajput G G ,   Department of Computer Science Akkamahadevi Women’s University, Vijayapura 586106, Karnataka, India,
Published: January 2020

SIFT and LBP are two popular techniques used for obtaining “feature description" of the object. SIFT identifies key points that are locations with distinct image information and robust to scaling and rotation whereas, LBP transforms an image into an array of integer labels describing small scale appearance of the image. In this paper, we present an efficient method wherein “feature description” of handwritten document images at word level are computed using SIFT and LBP. Identification of script type is done using KNN and SVM classifiers. Experimental results show that the performance of SVM is better over KNN. Further, the proposed method is compared with other methods in the literature to demonstrate the efficacy of the proposed method.
Enhancement of the Dynamic Behavior of Grid-Connected DFIG Based Wind Turbines by using Fuzzy Logic Controller under LVRT Conditions
Authors:   Department of EEE, JNTUA university, Anantapuramu, India., Babu* K. Chandra , Reddy Dr. K.Ramasekhara ,   Department of EEE, JNTUA, Anantapuramu, India.
Published: January 2020

In recent years, due to the interconnection of large capacity wind turbines to the power grid lead, there are serious issues in the stability of Grid and generation of electrical power. Also, it is showing effect on the dynamic performance of the electrical power systems. To maintain stability during sudden changes in the grid, the LVRT (Low Voltage Ride Through) capability of the Wind Turbines is one of the prime requirements. Wind turbines attached to DFIG (Doubly Fed Induction Generators) are advantageous which have LVRT capability at limited extent. In this paper, the elaborated discussion of the LVRT of Wind turbines shafted to DFIG's in the Grid. It also presents the complete description of the sudden changes in the systems like transient characteristics and the Doubly Fed Induction Generators dynamic response at the time of grid voltage faults (Symmetrical and Asymmetrical). The latest rotor side control technology is displayed in this paper for DFIG and wind turbines with improved capacity of low voltage ride through at the time of severe grid voltage sags. A Fuzzy Logic controller-based control technology is introduced in this paper which performs the balancing the rotor-side voltage and short circuits during the disturbances in the Grid. The advantage in this proposed control scheme is that it reduces the additional cost and reliability issues. So, the DFIG is efficient and usability company norms are satisfied with the proposed Fuzzy logic controller compared to regular controller like PI controller. The performance of the proposed system is simulated and verified in the computer. The results are displayed and it conclude that the control strategy of LVRT capability for Grid connected DFIG based wind turbine systems with Fuzzy Logic Controller are more effective than the conventional control Methods.
Rsadp - Road Saftey Accident Detection and Prevention in Vehicular Adhoc Network
Authors:   Department of Information Technology, Terna Engineering College, Nerul, Navi Mumbai, Maharashtra, India,, Patil* Saurabh , Ragha Lata ,   Department of Computer, Fr. Agnel Engineering College, Vashi, Navi Mumbai, Maharashtra, India,
Published: January 2020

Vehicular Ad-Hoc Networks (VANETs) is evolving into highly developed systems that improve driver experience in terms of security and offer much-needed tranquility on the roads as well. VANET makes it possible for a vehicle to communicate, (vehicle to vehicle communication) V2V, beyond its visual coverage region for an advance alert. Vehicle accident alert depends on data received from sensors, cameras, onboard units, wireless communication, global positioning systems, and Roadside Units (RSU) placed on equidistance along the roads. It collects data from all entities, i.e., RSUs or OBU, and processes it, leading decisions subsequently. In V2V communication, vehicles support different services such as declaring an accident with their exact coordinates and traffic status updates. In this paper, a protocol is discussed and reviewed and studied about on-vehicle wireless communication capabilities in terms of handling accident alerts for road safety applications. Accident detection in an early stage can help in saving life on the road and enhance medical support probability. Providing the accurate time of accident and locality to the approaching vehicles to reduce down further mishaps on the road. This proposed protocol is flexible enough to adapt real-time environmental adjustments, including road density and speed, traffic state, and network dynamics.
Recognition of Off-Line Handwritten Rajasthani Characters using Generalized Feed Forward Classifier
Authors:   Assistant Professor and Head in Dept. of Computer Science, Vidnyan Mahavidyalaya, Malkapur (M.S.), India., Warkhede* S.E. , Yadav Dr. S. K ,   Research Director in Shri JJT University, Churu, Rajasthan, Thakare Dr. Vilas M. ,   Professor, Head in Computer Science, Faculty of Engineering & Technology, Post Graduate Department of Computer Science, Sant Gadgebaba Amravati University, Amravati., Ajmire Dr. Prafulla E. ,   head of department of Computer Science at G S Science, Arts & Commerce College, Khamgaon. (M.S.), India.
Published: January 2020

The offline handwritten identification in the area of pattern recognition was a heavy and difficult task. Because of its application in different areas, a set of work is being done and the results are continuing to be strengthened by different methods. We suggested in this paper a handwritten model for individual character recognition using generalized neural networks for feed forward. We take 17 character samples handwritten in scanned image format for experimental purposes; Rajasthani knows 850 different samples of handwritten characters. HOG extraction methods are used to construct pattern vectors for all training sets. These features are recognition classifier for generalized feed forward. We obtained an overall classification with GFF classifier accuracy rate of 85.21% from the proposed scheme for the identification of Rajasthani characters.
Mathematical Model of a Solid Rotor Asyncronous Electric Machine
Authors:   Power Engineering Department, Rostov State Transport University (RSTU), Rostov-on-Don, Russia., Kolpakhchyan* Pavel Grigorievich , Shaikhiev Alexey Rifkatovich ,   Power Engineering Department, Rostov State Transport University (RSTU), Rostov-on-Don, Russia., Kochin Alexander Evgenievich ,   Power Engineering Department, Rostov State Transport University (RSTU), Rostov-on-Don, Russia., Podbereznaya Margarita Sergeevna ,   Power Engineering Department, Rostov State Transport University (RSTU), Rostov-on-Don, Russia.
Published: January 2020

The article deals with solid rotor asynchronous electric machine mathematical model. It is substantiated that the use of generalized electrical machine theory for building the mathematical model is rational at the design stage to analyze the electromagnetic and electromechanical processes in an electric machine and a power converter. The mathematical model with some circuits on the rotor was considered to account for the effect of current displacement in a solid rotor. We used the field theory to determine the number of circuits. For this purpose, the calculations series of the magnetic field distribution in the active part of the electric machine when the rotor is stationary (in short circuit mode) and the stator winding are powered by different frequencies currents were carried out. The modeling of a high-speed electric generator with a solid asynchronous rotor was carried out. Its power is 100kW and its rotational speed is 100 000 rpm. The analysis of the high-speed generator parameter approximation showed that the use of three circuits in the equivalent circuit is rational to account for the effect of current displacement in a solid rotor. The mathematical model results when connecting a rotating high-speed electric generator to a voltage source are showed. The assessment of the current displacement effect in a solid rotor was examined twice: with one circuit in a rotor chain and with three circuits in it. Comparison of the electromagnetic processes modeling results showed that the use of three circuits model provides the more accurate representation of electromagnetic processes in the solid rotor asynchronous electric machine. The modeling results significantly differs during transients when using the one-circuit model. In the steady state, the stator current fundamental harmonics and the average value of electromagnetic moment are the same for both models.
Technique of Building Parallel Data Mining Algorithms
Authors:   Samarkand branch of the Tashkent University of Information Technologies named after Muhammad al-Khwarizmi, Uzbekistan., Zaynidin* Karshiev , Mirzabek Sattarov ,   Samarkand branch of the Tashkent University of Information Technologies named after Muhammad al-Khwarizmi, Uzbekistan.
Published: January 2020

Paper describes the technique of parallelization of data mining algorithms based on the block structure. The described technique takes into account the characteristics of the execution environment of parallel algorithms, such as the distribution of the analyzed data, as well as the features of the parallelized algorithm.