bluuebunny/crossref_metadata_2025 huggingface dataset:
COMPARISON OF OPTIMIZATION ALGORITHMS OF CONNECTIONIST TEMPORAL CLASSIFIER FOR SPEECH RECOGNITION SYSTEM
Authors: Amirgaliyev Yedilkhan , Kuanyshbay Kuanyshbay , Shoiynbek Aisultan
Published: October 2019

This paper evaluates and compares the performances of three well-known optimization algorithms (Adagrad, Adam, Momentum) for faster training the neural network of CTC algorithm for speech recognition. For CTC algorithms recurrent neural network has been used, specifically Long-Short-Term memory. LSTM is effective and often used model. Data has been downloaded from VCTK corpus of Edinburgh University. The results of optimization algorithms have been evaluated by the Label error rate and CTC loss.
ANALYSIS OF SOIL ORGANIC MATTER TRANSFORMATION DYNAMICS MODELS
Authors: Shostak Liubov , Boiko Mykhailo , Stepanchenko Olha , Kozhushko Olena
Published: October 2019

In this paper we consider the models describing the dynamics of soil organic matter transformation. The results of practical implementation of the ROMUL, CENTURY and ROTHAMSTED models are presented. These models propose theoretical approaches to the modelling of organic remains transformation based on describing physicochemical processes during humus formation with differential relations. Following the analysis, their strengths and weaknesses have been distinguished.
AGRICULTURAL MANAGEMENT ON THE BASIS OF INFORMATION TECHNOLOGIES
Authors: Sivakovska Olena , Rudinets Mykola , Poteichuk Mykhailo
Published: October 2019

The article presents conceptually scientific and methodological principles of agricultural management on the basis of Information Technologies. It has determined the main directions of using Information Technologies in Agricultural Manufacturing. It has systematically investigated the manufacturing by agricultural producers, and it has determined and stressed the main functions and relationships between the two systemic parts – technical and technological as well as organizational and technical. There have been determined the hierarchical structure of the configuration for the husbandry systems. It was explored that this configuration consists of nine main parts, and which of them have their own configuration. It was a conceptually determined processes of architecture management of agricultural programs (portfolios) and the configuration of agricultural products. The developed structural and project approach to configurations management of systemic parts for agricultural manufacturing is the part of scientific and methodological principles of this manufacturing management using Information Technologies.
The influence of feeding practice on the risk of stunting in infant and young children in developing countries:a literature review
Authors: Damanik Sri Melfa , Wanda Dessie
Published: October 2019

Bacground: Stunting is one of the conditions of failed to grow on the children where the child’s height is not obtained in accordance with the age of the child. There are a few things that become the main causes of stunting problem in children, as well as the ineffectiveness of child feeding practice. Objective: To find out the influence of feeding practice according to WHO guidelines on the risk of stunting in infant and young children in developing countries according on literature review. Methods: This literature review used search strategy on five databases involved Science Direct, EBSCOhost, ProQuest, Taylor & Franchis, and Scopus using the keywords of “stunting, feeding practice, infant and young children”. The author used several filter i.e. research articles, articles with English language, and published in 2008-2018. All articles were selected using Appraisal Tool of PRISMA and resulting 16 Articles. Results: Sixteen articles showed that minimum dietary diversity, exclusive breast feeding, the time of introduction of complementary feeding, high iron feeding, and frequency of feeding have a significant relationship with incident of stunting for infant and young children. Conclusion: The feeding practice for infant and young children in developing countries was not optimal. Providing education as early as possible to prospective mothers and mothers about proper feeding practices was expected can increase the knowledge and ability of mothers to practice appropriate feeding according to WHO recommendations.
FORMATION AND FUNCTIONING OF SYMBIOTIC SYSTEMS OF SOYA – BRADYRHIZOBIUM JAPONICUM FOR THE INFLUENCE OF COMPLEXES OF NANOPARTICLES OF CARBOXYLATES OF MICROELEMENTS
Authors: Kots S. Ya. , Rybachenko L. I. , Pukhtayevych P. P. , Mokrytsky K. A.
Published: October 2019

Objective. To study the effect of combined preparations based on highly active strains of Brad-yrhizobium japonicum and complexes of carboxylates of trace elements germanium, molybdenum, and ferrum on a symbiotic apparatus of soybean plants, in order to increase the efficiency of bacte-rial inoculants. Methods. Gas chromatography, microbiological, physiological. Results. The com-bination of a microbiological preparation based on efficient strains of nodule bacteria with complexes of nanoparticles of carboxylates Mo, Fe, Ge was found to promote the enhancement of nodulation activity, provide growth of mass of root nodules, activate the nitrogen-fixing activity of symbiotic soybean systems. When use the preparation combined with germanium and molyb-denum compounds, nitrogenase activity increases by 23–63 %, in combination with inoculum with germanium and ferrum nanocarboxylates — by 14–21 % depending on the phases of soybean or-ganogenesis. The complex application of biological and abiotic factors influencing the formation and functioning of symbiotic nitrogen-fixing systems contributes to the improvement of plant mor-phometric parameters and provides high yields of this crop. At the same time, it was established that germanium carboxylate complexes with molybdenum carboxylate, as well as germanium nanocarboxylates, should be used as effective stimulants for the formation of seed productivity of soybean plants and nitrogen-fixing activity of symbiotic systems created with their participation. In the experiment, soybean yield under the combination of B. japonicum with germanium and molyb-denum nanocarboxylates increased by 10 %, and by 13 % — under the complex application of bac-terial inoculum with germanium and ferrum carboxylate nanoparticles. Conclusion. Application of these complexes of nanocomponents in microbiological production technologies will allow plants to be supplied with additional nutritional elements, forming effective plant-microbial systems and ob-taining high and stable crops of environmentally safe food and feed protein.
QUALITY AND AEROBIC STABILITY OF FERMENTED ROLLED CORN GRAIN IN UNDER COMBINED INTRODUCTION OF PROBIOTIC STRAINS OF LACTIC ACID BACTERIA AND REPRESENTATIVES OF BACILLUS SUBTILIS
Authors: Perederii M. G. , Kravchenko N. O. , Bozhok L. V. , Dmytruk O. M.
Published: October 2019

Objective. To find out the effect of combined introduction of probiotic strains of lactic acid bac-teria and Bacillus subtilis on the quality and aerobic stability of fermented rolled corn grain. Methods. Microbiological, zootechnical. Results. According to the results of organoleptic analysis, preserved rolled corn grain of the experimental and control variants had a preserved texture with a pleasant fruity odour. Preservation of crude fibre in the raw material of the experimental variants treated with Bacillus subtilis ВРT-B1 and under the combined use of lactic acid bacteria with aero-bic bacilli was higher by 10.0 % and 3.3 %, respectively, as compared to positive control parame-ters (Subtikon grain processing). The protein content in the experimental variants and the positive control was higher by 2.4–7.2 % than in the control variant of the feed (without the use of microor-ganisms). After aerobic exposure of feed for 14 days, preservation of crude fibre in all variants be-gan to decrease, however, the greatest losses (20 %) were noted in the control variant (without in-troduction of bacteria). The highest protein losses were observed in the control variant (3.8 %).After aerobic exposure, acidity in all variants of the experiment remained in the optimal range of pH 3.9–4.2. At day 70 of feed preservation, an increase in the number of lactic acid bacteria by 2–3 orders of magnitude in samples of experimental variants and positive control in comparison with this parameter in the raw material was noted. After air access to preserved rolled corn grain for 14 days, the lowest number of lactic acid bacteria was observed in absolute control, the high-est — in the variant with the combined inoculation by strains of Lactobacillus plantarum КT-L18/1 and Bacillus subtilis ВРT-B1. No pathogenic and butyric acid bacteria were detected. Conclusi-on. The combined use of probiotic strains of lactic acid bacteria and Bacillus subtilis to preserve corn grain contributes to the preservation of nutrients, the establishment and maintenance of an op-timal level of acidity, prevents aerobic food spoilage.
Fabrication 3d Tissue Engineering Scaffold Poly(Ethylene) Diacrylate Filled with Aramid Nanofiber: Mechanical Evaluation and Toxicity
Authors:   Quality Engineering, Universiti Kuala Lumpur (UniKL), Johor, Malaysia 1 School of Mechanical Engineering, Universiti Teknologi Malaysia (UTM), Johor, Malaysia, Nurulhuda A. , Izman S. ,   School of Mechanical Engineering, Universiti Teknologi Malaysia (UTM), Johor, Malaysia, Ngadiman* Nor Hasrul Akhmal ,   School of Mechanical Engineering, Universiti Teknologi Malaysia (UTM), Johor, Malaysia
Published: October 2019

The selection of the optimum scaffold fabrication method becomes challenging due to a variety of manufacturing methods, existing biomaterials and technical requirements. Although, Digital light processing (DLP) 3D printing process is one of the SLA techniques which commonly used to fabricate tissue engineering scaffold, however, there is no report published on the fabrication of tissue engineering scaffold-based PEGDA filled with Aramid Nanofiber (ANFs). Hence, the feasible parameter setting for fabricating this material using DLP technique is currently unknown. This work aims to establish the feasible setting parameter via DLP 3D printing to fabricate PEGDA/ANFs 3D tissue engineering scaffold. Preliminary study has been done to identify the accurate composition and curing time setting in producing scaffold. In this work, the researcher has proved the potential and capability of these novel composition biomaterial PEGDA/ANFs to be print via DLP-3D printing technique to form a 3D structure which is not yet been established and has not reported elsewhere.
Adoption of Information Technology Among Small and Medium Enterprises in Indian Context
Authors:   Professor - MBA Department, Sri Krishna College of Engineering and Technology, Coimbatore, India,, K B* DrSridevi , P DrShyamala ,   Head and Associate Professor –Department of Management Studies, Fatima College,Madurai, India,, M DrNagarenitha ,   Assistant Professor, Department of Management Studies, Fatima College,Madurai, India
Published: October 2019

Digital India is one of the vital initiatives introduced by our Indian Government to “Develop the online infrastructure” and to make sure that the Services given to the citizens by the government is available to them digitally. The target year to transform digital in all the sectors is set us 2020 and it is expected to happen based on successful adoption of information technology.Adopting information technology results in ‘Digital Transformation’ and it is realized as the needful change of the hour by the entrepreneurs in all the sectors. Though the large scale organisations are comparatively in ready state for Digital transformation, most of the Small and Medium Enterprises (SMEs) have their own challenges in adopting information technology. This article has included the prime challenges in information technology adoption such as digital Illiteracy, connectivity, compatibility, cybercrime threat, inter departmental co-ordination, financial affordability and resistance to change Mind set. In spite of all these challenges, digital transformation is identified as unavoidable and vital in the present business scenario. Hence, the researcher has taken an attempt to identify the influencers and inhibitors involved in the process of information technology adoption among the SMEs in Tamilnadu State by analysing their demographic and organisational variables. The research results interpret about the digital perception of the SMEs, their difficulties and readiness to adopt information technology. The research findings highlight the prevailing need for digital literacy and better connectivity for better digital transformation.
Surface Defect Identification and Grouping of Intermittent Leather Images using Linear Discriminant Model
Authors:   Master of Computer Science, Madurai Kamaraj University, Madurai, Tamil Nadu, India., Vasagam* S. Nithiyanantha , Sornam Dr M. ,   Professor, Department of Computer Science, University of Madras, Tamil Nadu, India.
Published: October 2019

Scrutiny of intermittent leather is accepted through visual analysis on the natural material by an experienced individual based on many parameters which includes surface defects as a parameter. Such results comprising of base color, other than base color, share of regions, share of cutting area, share of cutting value, position wise length and position wise breadth will determine the value of the leather and surprisingly the result will vary form one experienced person to another. Hence, a new method for grouping of intermittent leather is proposed for a better or suitable decision making. Feature extraction technique, Grey Level Co-occurrence Matrix (GLCM) has been implemented to understand the features of color and area by extracting the texture features like Entropy, Energy, Contrast, Variance, Mean, Dissimilarity, Correlation and Homogeneity. A total of 428 intermittent leather imagesare used to understand the classification. The classifiers, Linear Discriminant Analysis (LDA) model and Support Vector Machine (SVM) are used to find out the accuracy. Further, linear discriminant model confirms 92% of accuracy over the support vector machine which is confirms 89.65% of accuracy. The proposed LDA model clearly shows that the approach is successful in classifying the variations among the defects and non-defects in intermittent leather images.
Research of the Process of Obtaining Organo-Mineral Fertilizer Based on Nitrogen Acid Decomposition of Non-Conditional Phosphorites of Central Kyzylkumes and Poultry Cultivation Waste
Authors:   Head of laboratory, Institute of general and inorganic chemistry of Uzbek Academy of Sciences, 100170, Uzbekistan, Tashkent, MirzoUlugbek, Shafoat* Namazov , Uktam Temirov ,   Senior research Scientist,Institute of general and inorganic chemistryof Uzbek Academy of Sciences,100170, Uzbekistan, Tashkent, MirzoUlugbek, Najimuddin Usanbaev ,   Leading Researcher,Institute of general and inorganic chemistryof Uzbek Academy of Sciences,100170, Uzbekistan, Tashkent, MirzoUlugbek
Published: October 2019

The article presents the results of decomposition of substandard phosphorites at a non-full rate of nitric acid (10-50% of stoichiometry on CaO), followed by its processing by bird droppings in various ratios. The optimal parameters for obtaining organic mineral fertilizers are determined, the technological scheme is given and the material balance is calculated, the possibility of obtaining nitrogen-phosphorus-humus fertilizers based on substandard phosphorites and bird droppings is shown, by composition (wt.%): P2O5 total - 6.53; Р2О5 acceptable - 4.04; СаО total - 17.12; N - 4.21; organic matter - 28.38; humic acids - 9,12, fulvic acids - 5,25, water-soluble organic substances - 4,2; pН – 5,93.
Restructuring with Moora and Measuring Code Smells
Authors:   Assistant Professor/Department of Computer Application, B.S.Abdur Rahman Crescent Institute of Science and Technology, Chennai,, Pandiyavathi* T. , Manochandar T. ,   Assistant Professor/ Department of Electronics and Communication Engineering, CK College of Engineering and Technology, Cuddalore.
Published: October 2019

The paper presents measuring various code smells by finding critical code smells and thereby concentration is increased in those parts through Structural Modeling for arranging those code smells. Arranging the code smells in the way that they will not produce a new smell on their detection and removal is very necessary. Structural modeling helps in clarifying Interrelationship among these code smells. The code smells that contains high driving effects are ordered as optimized code which resulted in the increase in the overall code maintenance of the software code which will be used afterwards for achieving the concept of re-usability. In addition to this we have added a technique for restructuring technology for the purpose to achieve high accuracy. It involves more objectives related to the performance and the code smells are implemented with the concept called as pairwise analysis based on the priority method. Pairwise analysis based on the weights attained by the bad smells provides a better optimized results since more problematic areas are neglected here. This work gives optimized results for the process of overall code maintainability by applying restructuring before the refactoring process with Fuzzy technique and it is followed by finding the code smells which results in high ripple effects and then removing them. Still more research ideologies are needed for removing the bad smells in the code.
Technological Processes of Receiving Metals in The Conditions of Moderate Temperatures
Authors:   Assistant professor, PhD, Department of Metallurgy, Tashkent State Technical University, Tashkent, Uzbekistan., Turdaliyevich* Matkarimov Sokhibjon , Qodirdjon ugli Nosirkhudjayev Sardor ,   Senior teacher Department of Metallurgy, Tashkent state technical university,, Toshtemirovich Ochildiyev Qakhramon ,   Assistant Department of Metallurgy, Tashkent state technical university,, Ulugbek ugli Nuraliyev Oybek ,   Assistant Department of Metallurgy, Tashkent state technical university, University Street 2, Tashkent, Uzbekistan,, Rakhmatjonovich Karimdjonov Begzod ,   Senior teachers, Department of Metallurgy, Tashkent State Technical University, Tashkent, Uzbekistan.
Published: October 2019

In article questions of physical and chemical transformations of starting materials at their heating in metallurgical furnaces are considered. It first of all moisture evaporation, dissociation of the difficult connections, oxidizing and recovery processes, formation of fusible eutectics. An attention to interaction of oxides and sulfides with formation of the new connections having smaller melting point than initial components. It is shown that these connections are the beginning of formation of melts and actually define thermodynamics and kinetics of all process. Transition of firm components of fusion mixture to flux has a great influence on technological indicators of smelting of metal. Considering it, the research on establishment was conducted began courses of these of reaction and a possibility of determination of this criterion without direct the made experiments.
Voice Based Retrieval using Convolution Neural Network in Deep Learning
Authors:   ResearchArea-Speech Processing, Mamatha* M. , Reddy T.Bhaskar ,   Membership-ICITE,GATE Qualified with good score Professor in SKU,Anatantapur,AP. Research Area- Computer Science
Published: October 2019

In this paper, we propose a Content Based Voice Retrieval(CBVR) is used to search a specific audio files from a large data base. Using Deep learning features are learned automatically in the training phase. Convolution Neural Network is used in this research for CBVR. On this paper, we recommend a novel technique to key word search(KWS) in low-resource languages, which presents an replacement method for retrieving the phrases of curiosity, in particular for the out of vocabulary (OOV) ones. Our procedure contains the approaches of question-by using-illustration retrieval tasks into KWS and conducts the hunt by the use of the subsequence dynamic time warping (sDTW) algorithm. For this, text queries are modeled as sequences of function vectors and used as templates within the search. A Convolution neural network-headquartered model is informed to gain knowledge of a frame-degree distance metric to be used in sDTW and the right question model frame representations for this realized distance. This new procedure can be used as a substitute to traditional LVCSR-situated KWS programs, or in combination with them, to attain the intention of filling the gap between OOV and in-vocabulary (IV) retrieval performances.
Assessment of Carbonation on Strength Properties of Concrete Made of Mineral Admixtures
Authors:   Department of Civil Engineering, Institute of Aeronautical Engineering,,Dundigal, Hyderabad, Reddy* V. Suryaprakash , Rao N. Venkat ,   Department of Civil Engineering, Institute of Aeronautical Engineering,(autonomus), Dundigal, Hyderabad, papolu Dr. Ram Mohan Rao ,   Department of Civil Engineering, Institute of Aeronautical Engineering (autonomus), Dundigal,Hyderabad.
Published: October 2019

Concrete is one of the most suitable materials in the world which are used for construction. It becomes more versatile because of his suitability in almost all situations. Reinforced structures are subject to corrosion by various means. Carbonation is one of these means that causes corrosion of reinforced concrete structures. The service life of the structures has been reduced due to the deterioration of the structures because of the corrosion of the reinforced concrete due to carbonation. This paper focuses on the effect of carbonation on the mechanical properties of concrete composed of mineral admixtures, such as ground granulated blast furnace slag and silica fume, by partial replacement of the cement. In this experiment, silica fume replaced cement in 5%, 10%, 15% and ground granulated blast furnace slag replaced the cement in 10%, 20%, 30%. Samples such as cubes, cylinders and prisms were casted and cured. Certain number of these specimens were also placed in carbonation chamber and tested for compressive strength, tensile strength and flexural strength. Normal concrete samples are also tested and the results are compared.
Seismic Behaviour of Offshore Steel Jacket Platform Braced in Horizontal and Vertical Planes
Authors:   PG Student, Department of Civil Engineering, PDA College of Engineering Kalaburgi-585102, Karnataka, India., Ahmed* Md. Yousuf , Kumar Dr. Aravind ,   Harwalkar Associate Professor Department of Civil Engineering, PDA College of Engineering Kalaburgi-585102, Karnataka, India.
Published: October 2019

The offshore jacket platforms are primarily installed in the large oceans mainly for drilling the crude oil, carbohydrates and production of electricity. The current studies emphasize on the structural performance of offshore deck jacket platform with different bracing systems. Earthquake analysis has been performed to calculate the seismic responses, with the help of bracings to control the seismic induced vibrations of the jacket platforms. For this study, a jacket platform made up of steel members has been modeled and then analyzed under earthquake and wave loadings. This paper mainly deals to compute and compare the seismic behavior of offshore steel deck platform using SAP 2000 v20 software with bracing in the horizontal plane and bracing in both horizontal and vertical planes. The total number of 8 models has been analyzed in the SAP2000 software with bracing i.e. X, V, Inverted V and K in the vertical plane and bracing i.e. X, V, Inverted V and K in both horizontal and vertical plane. A relative study has been carried out in Time period, deck displacement and base shear. Seismic analysis using linear static, i.e. Equivalent static method (ESA) and linear dynamic, i.e. Response spectrum method (RSA) has been performed. Further deck displacement, time period and base shear are determined by Equivalent static method and Response spectrum method for various types of bracing models in both horizontal and vertical planes. Among the all various types of bracing models, Inverted V bracing in the vertical plane is found to be the optimum model among all other models.
Patient Text Feedback Based Optimized Deep Learned Model to Identify the Impact of Therapy
Authors:   CSE, CT Institute of Engineering, Management and Technology, Jalandhar, India., Jagriti*  , Khullar Vikas ,   CSE, CT Institute of Engineering, Management and Technology, Jalandhar, India., pal singh Dr. Harjit ,   ECE., CT Institute of Engineering, Management and Technology, Jalandhar, India., Bala Dr. Manju ,   CSE, Khalsa College of Engineering and Technology, Jalandhar. India
Published: October 2019

Text classification or Text mining is a very demanding field because the content created by the user in natural language is not easily understandable. It becomes very important to systematically identify and extract subjective information from user content so that it can be easily understandable. The whole process is done by assigning a particular class to text. In the field of opinion mining, most of the work has been done in common areas like restaurants, electronic goods, movie feedback, etc. and a lot of work needs to be done in the area of healthcare and medical. So, the proposed work has been carried over healthcare. The aim of this study is to classify the text feedback of patient using optimized deep learning model to identify the impact of therapy. In proposed method comparison of CNN with machine learning algorithms has been done, in which, CNN gave better results in terms of accuracy (99.98%), precision (0.981), recall (0.981), mean squared error (0.282). Further, we have implemented the CNN with N-gram technique and found that this method improved the results of CNN based on precision (0.999), recall (0.999), mean squared error (0.001), area under curve (0.998) but accuracy remained the same.
Affect of Waste Tyre Rubber Recycle Properties of Concrete by Partial Replacement of Coarse Aggregate with Rubber
Authors:   M.Tech student in determent of civil engineering in Institute of Aeronautical Engineering, Dundigal Hyderabad, Telangana., Kumar* D.Ajay , Rao N.Venkat ,   working Associate professor in the department of Civil Engineering in Institute of Aeronautical Engineering, Dundigal Hyderabad, Telangana., Rao Papolu Dr. Ram Mohan ,   working as Professor and Head of the department in Civil Engineering department in Institute of Aeronautical Engineering, Dundigal Hyderabad, Telangana.
Published: October 2019

Rubber tires are produced excessively worldwide every year. It is not easy to remove rubber waste from environment because it causes environmental pollution and its decomposing takes long -time. The reuse of rubber is better than disposal. The waste rubber can be reuse as a coarse aggregate in concrete. This rubber concrete has elastic properties and strong gravity they can also be used has light weight bricks because rubber is in light weight hence it can be replaced coarse aggregate in percentages the weight of concrete reduced. The rubber replaced concrete can be study by conducting experiments on rubber replaced concrete cubes the experimental testes want to conduct on concrete are compressing test, split tensile test and flexible test. The number of unused tires from different types of vehicles increasing rapidly his one of the main environmental problems today. About 1 billion garbage tires thrown away every year, and it is estimated that about 1.2 billion will pass each year. In this study mechanical properties of rubber we came to know that the rubber aggregate using in concrete have an equal strength of ordinary concrete by adding rubber aggregates the weight of the concrete decreases and it can also use as low weight bricks.
Harness Soft Skills to Everyday Life: A Scientific Technique to Gain Success
Authors:   Research Scholar, Amity Institute of Education, Amity University, Noida, UP, India., Gupta* Suman , Mishra Neetu Shukla ,   Asst. Professor III, Amity Institute of Education, Amity University, Noida, UP, India., Kumar Indu Babra ,   Professor And Head, Department of ICT & Training Division, CIET, NCERT, New Delhi, India.
Published: October 2019

Twenty first Century skills comprise the skills and abilities that are required by every individual to attain success in life. These skills are also commonly known as Soft Skills and are not only a pre requisite for any employment opportunity but are also highly valued in any classroom or profession. Unfortunately, despite the huge importance laid on the development of these skills, there exists a gap between the skills required for the success in life and the skills harnessed in the classrooms. A study was undertaken to find out the attitude of the senior secondary school students and the application of the soft skills in their real life. The findings revealed that the attitude of the learners towards the acquisition of these skills is vagrant and so is their application of these skills in real life. The present study aims to find out if attitude of the senior secondary school students towards the soft skills is correlated to the application of these skills in the real life.
Horoscope Analysis and Astrological Prediction using Biased Logistic Regression (BLR)
Authors:   presently doing Phd in School of Computer Sciences, Mahatma Gandhi University, Kottayam, Shajan* Rahul , Raj Dr.Gladston ,   Professor & Head, Department of Computer Science @ Government College Nedumangad.
Published: October 2019

Majority of people have connected their day to day life with Astrology. Normally the astrological factors would be checked for the prediction of birth details, house warming, marriages etc. The perception of astrology may vary for people. Due to the innumerable instance that provides the influence of astrology in our day to day life, some consider it as divine guidance or a vital source of information that has much to offer apart from solutions to problems in life. People are considering astrology as the traditional science of India. All the popular television channels and newspapers include the astrology programs in their schedules. That is only because of the wide popularity and acceptability of astrology in the minds of common man. Still, modern science is not considering astrology as a proven science. All the astrological calculations and predictions are still performed in the traditional way. Modern scientific methods or inventions are not at all used by the astrologers. In this paper, there is an attempt to connect traditional science with the modern science. Nowadays data mining is a most popular research area. Application of data mining in astrology is a new concept and that type researches are not popular now. If it is possible to prove that the data mining techniques are effective for astrological prediction then it will help to increase the acceptance of astrology in the area of modern science. Thus, there is an effort to increase the credibility of traditional science astrology by connecting it with modern science through the possibilities of Data mining.
Machine Learning Methods for Diabetes Prediction
Authors:   Faculty of Information and Communication Technology, Universiti Teknikal Malaysia Melaka (UTeM), Melaka, Malaysia and Faculty of Science and Technology, Department of Information Technology, Universitas ‘Aisyiyah Yogyakarta (UNISA), Indonesia., Dzakiyullah* Nur Rachman , Burhanuddin M.A. ,   Faculty of Information and Communication Technology, Universiti Teknikal Malaysia Melaka (UTeM), Melaka, Malaysia., Raja Ikram Raja Rina ,   Faculty of Information and Communication Technology, Universiti Teknikal Malaysia Melaka (UTeM), Melaka, Malaysia, Ghani Khanapi Abdul ,   Faculty of Information and Communication Technology, Universiti Teknikal Malaysia Melaka (UTeM), Melaka, Malaysia, Setyonugroho Winny ,   Faculty of Medicine and Health Science Muhammadiyah University of Yogyakarta (UMY), Yogyakarta, Indonesia.
Published: October 2019

Machine Learning is one of the methods used for task prediction. In the diabetic’s research field, the application of machine learning is emerging since the advantages of approximation on the prediction technique has significantly given insight for many health practitioners. Machine Learning is utilized in order to handle the uncontrollable risk factor by finding a relation between such a risk factor trough prediction. This study aims to review recent machine learning models that have been used in diabetes prediction with respect to the risk factors in order to prevent diabetes. This study compares the performance of the model by justified the accuracy as the baseline to evaluate the model. The result of this review shows that the Random Forest and Support Vector Machine are the most popular technique among researcher. Moreover, from this study, it can be seen that Type 2 Diabetes Mellitus (T2DM) has been a concern by researchers since the incidence of diabetes was increasing in worldwide today that happened from an uncontrollable risk factor.
Evolutionary and Metaphor-Metaheuristic MPPT Techniques for Enhancing The Operation of Solar PV Under Partial Shading Condition
Authors:   School of Electrical Engineering ,VIT University, Vellore, India, Basha CH Hussaian , Rani* C. ,   School of Electrical Engineering, VIT University, Vellore, India
Published: October 2019

Photovoltaic (PV) systems are the most popular electric power generation systems for domestic as well as industrial applications because of its sustainability and excess availability in nature. Under Partial Shading Condition (PSC), the nonlinear characteristics of solar PV consist of multiple local Maximum Power Points (MPPs) and one global MPP. Hence, it is difficult to operate the operating point of the solar PV closer to true MPP. There are different tracking methods available for MPP Tracking in the literature. The classical Maximum Power Point Tracking (MPPT) methods are not suitable under partial shading conditions because the operating point of PV may settle down to any one of the local MPP. Also, these methods failed to mitigate the oscillations across the operating point of solar PV. The recently developed evolutionary based MPPT techniques are becoming more prominent in order to avoid the drawbacks of classical MPP techniques. In this article, different types of MPPT techniques such as evolutionary, metaphor-metaheuristic and hybrid MPPT techniques are discussed in detail along with their advantages and disadvantages. The comparative analysis is carried out by considering the parameters such as tracking speed, oscillation across MPP, settling time, implementation complexity and efficiency.
Area efficient LFSR based ADC in 45nm Technology using verilog a
Authors:   Department of ECE, SRMIST, Vadapalani, Chennai India., Karthik* S. , Priyadarsini K. ,   Department of CSE, VISTAS, Pallavaram, Chennai India., Suhas Sarat ,   Department of ECE, SRMIST, Vadapalani, Chennai India.
Published: October 2019

Data converters are very much useful in this modern world for circuit design at both ends i.e., transmitter end and receiver end. This paper primarily aims at reducing the overall area of the 8 bit ADC by decreasing the size of traditional counter with replacement of LFSR which uses few XOR gates and FFs. Another advantage of using LFSR is that it produce random states which may result in reducing the conversion time or in other words speeding up the ADC. Verilog A is used for implementing the ADC since it uses high level behavior model which allows to use simple equation to describe complex issues, a Standard language, Easy to learn and use and Flexible for both analog and AMS application Verilog A is much more simple than Spice C code. Linear feedback shift register is employed in the implementation of ADC as it fewer components than binary counter. The proposed ADC architecture is implemented and simulated using Cadence 0.45 μm tool and compared with Standard ADC which uses traditional binary counter. Results show that there is almost 50% in power savings when compared to the traditional ADC designs.
A Groundwater Modeling on Hard Rock Terrain by using Visual Modflow Software for Bangalore North, Karnataka, India
Authors:   Assistant Professor, Civil Engineering Department, NMIT, Bangalore-560064, Karnataka, India., Prabhu* Nanjundi , Inayathulla Dr.M. ,   Professor, Civil Engineering Department, UVCE, Bangalore-560056, Karnataka, India.
Published: October 2019

The present study investigated through mathematical modelling techniques (using Modflow) for the Bengaluru North zone. The present study carried out in Bengaluru North Taluk lies in between 12° 52’ N to 130 15’ N, 770 22’ E to 770 50’ E to assess the changes in groundwater heads due to enormous pressure on water availability (especially in groundwater) in the study area for a scientific planning and management of water resources. The present study carried out using mathematical distributed model Modflow, to set up, execute the model, requires several data of which study area boundary (.shp format), geological information to represent the geological layers in to the model using Digital Elevation Model (DEM) obtained from Cartosat I Ver. 3R (Bhuvan site), pumping wells, observation wells etc. Shows the head variation in the study area before adding pumping wells and after adding pumping wells. The final observed and simulated results of the groundwater heads in the Bengaluru North taluk under transient state condition.
Application of Schlumberger Method for Characterization of Soil
Authors:   Head of Dept. Physics, Govt. Shyama prasad Mukherjee College Sitapur, India, Chaohan* Mr. Bodh Ram , Shrivastava Ms. Pooja ,   Research scholar, Civil Engineering Department, National Institute of Technology, Raipur, Shrivastava Dr.S.K. ,   Professor, Govt R.G.P.G.College Ambikapur(C.G.),
Published: October 2019

A nowadays, geo-environmental study such as soil contamination analysis, electrical properties of soil, and geo-technical centrifuge modeling needs a characterization of soil. This will help in estimation of soil properties, mathematical and physical modeling, field investigation and some other detailed phenomenon. In this study, we used a Schlumberger method for characterization of soil in the water conduit of village Visarpani, near Mainpat block of Surguja district of Chhattisgarh, India. In this conduit, water stream climbs itself towards uphill with the slope of 450 and travels distance about 150 meters in East to West direction and after turns towards downhill in North to South direction. Experimentally calculated Schlumberger resistance used in the theoretical calculations for finding resistivity and conductivity of soil and then predicted the soil characteristics at different intervals. This study showed that towards uphill resistivity is decreasing and conductivity is increasing regarding distance intervals.
Secured Information Sharing in Mobile Cloud Computing using Access Controls
Authors:   Reacher Scholar, Shri Jagdish Prasad Jhabarmal Tibrewala University, Rajasthan, India., Masthan* Kaja , Sharma Dr. K. Venkatesh ,   Professor, Dept of CSE, C.V.R. College of Engineering, Hyderabad, Telangana, India.
Published: October 2019

Presently usage of smart mobiles increasing, due to internet availability most of users outsourcing their data to cloud but it is untrusted, so a security mechanism needed in this work proposing Homomorphic cipher text policy-Attribute based encryption (HCP-ABE), it derived from classic ABE. “Mobile cloud computing are combinations of mobile computing and cloud computing”, mobile applications are designed and hosted in cloud computing without verifying about mobile environment. Security models are constructed using Perturbation methods as per literature. These models are not secure compared to cryptographic techniques. When perturbation methods are used, Data reconstruction becomes a significant challenge. Hence computations are complicated to perform. Furthermore, this method suffers a trade-off between accuracy and privacy and most of the research work focused on key management issues and static access policies but due to user dynamic the access control mechanism should design for proactive strategies. To support dynamic access control and operations HCP-ABE scheme intended. In this paper we identify challenges associated with mobile cloud-based security system and possible provide solutions to understand existing research work conducting compressive review on different access control mechanisms.
Statistical Models for Mechanical Properties of Basalt Fibre Reinforced Concrete
Authors:   Student, M.Tech. (Structural Engineering), Department of Civil Engineering, Hyderabad, India., Krishna* V Rama , Reddy V Srinivasa ,   Professor of Civil Engineering, GRIET Hyderabad, India., Rao M V Seshagiri ,   Professor of Civil Engineering, CVR College of Engineering Hyderabad, India., Shrihari S ,   Professor of Civil Engineering, VJIT Hyderabad, India.
Published: October 2019

In the present study, strength properties of concrete reinforced with basalt fibres are examined and statistical models are developed to establish the relation between the strength parameters. Optimum length and dosage of bundles and filament basalt fibres is decided from lengths 12 mm, 36mm and 50mm and dosage of 0.2%, 0.3% and 0.4% fibre fraction by volume of concrete. This optimum dosage of and length combinations for bundled and filament fibres yield increase in compressive, split-tensile and flexural strength by……%
Towards Technology Focus on Medical Information Database with Cloud Computing
Authors:   Associate Professor, Department of Computer Science Sindhi College of Arts and Science University of Madras, Chennai, TN, India., Geetha* K.
Published: October 2019

Today's world towards focus is very rapid growth with the cloud computing technology in and around all the fields including the medical side. Nowadays, especially in the medical field such as radiology department manage medical images with less software and hardware. In general, cloud computing work with the public, private, hybrid and community models and different types of components such as SaaS, PaaS, Iaas. Cloud storage handle a huge number of different type of data with a shared resources model. In the user side using medical image cloud data involve new issues in data security and reliability concern. In cloud data security facing when downloading sensitive medical images can touch positive and negative effects. In this paper proposed multiple attribute-based schemes resist the impact of multiple authorities. This proposed algorithm is provably efficient and secure in the authentication than existing authentication schemes in the cloud data storage.
To Identify and Recognize the Object for Traffic Analysis System using Deep Learning
Authors:   Assistant Professor, Computer Science And Engineering Department, in SRM Institute of Science And Technology, Ramapuram, Chennai, India., Ashwini* Ms. C. , Sharma Satyam ,   Pre-Final Year Student of B.Tech , Computer Science And Engineering in SRM Institute of Science And Technology, Ramapuram, Chennai, India., Srivastava Arpit ,   Pre-Final Year Student of B.Tech, Computer Science And Engineering in SRM Institute of Science And Technology, Ramapuram, Chennai, India., Sinha Sakshi ,   Pre-Final Year Student of B.Tech Computer Science And Engineering in SRM Institute of Science And Technology, Ramapuram, Chennai, India.
Published: October 2019

The object identification has been most essential field in development of machine vision which should be more efficient and accurate. Machine Learning & Artificial Intelligence, both are on their peak in today’s technology world. Playing with these can leads towards development. The field has actually replaced human efforts. With the approach of profound learning systems (i.e. deep learning techniques), the precision for object identification has expanded radically. This project aims to implement Object Identification for Traffic Analysis System in real time using Deep Learning Algorithms with high accuracy. The differentiation among objects such as humans, Traffic signs, etc. are identified. The dataset is so designed with specific objects which will be recognized by the camera and result will be shown within seconds. The project purely based on deep learning approaches which also includes YOLO object detection & Covolutionary Neural Network (CNN). The resulting system is fast and accurate, therefore can be implemented for smart automation across global stage.
Determinants of Financial Attitude and Preparedness of Information Technology Professionals in Bengaluru City
Authors:   Assistant Professor, Department of Commerce and Management, St. Joseph’s College (Autonomous), Langford Road, Bengaluru, Karnataka, India., Kumar* Dr. A. Senthil , Nandanan K Ms. Padma ,   Assistant Professor, Department of Commerce and Management, St. Joseph’s College (Autonomous), Langford Road, Bengaluru, Karnataka, India.
Published: October 2019

Employees’ attitudes towards financial planning and management and deriving benefits from proper management planning lead satisfaction among them. Their personal and job satisfaction is an important factor for their active involvement and their decision to contribute to innovation. The study examined the main underlying factors determining the financial attitude and financial preparedness of Information Technology (IT) professionals in Bengaluru city. Bengaluru is one of the largest tech hubs in India having 1.5 million employees in the IT/ITES, out of nearly four million employees across India. In order to achieve the objective of the study, primary data were collected from 792 respondents in 2018 using stratified sampling method. Questionnaire was designed to identify the key factors of financial attitude and financial preparedness. For reducing the number of variables from large data set and to find the main underlying financial attitude and financial preparedness, factor analysis was carried out. The study found that the two main components such as financial perspective and financial propensity determined the financial attitude and the factors grouping under three main components such as financial control, financial competence and financial philosophy contributing the financial preparedness of employees in IT sector.
Detecting Suspicious News over Social Media using Ant Colony Optimization
Authors:   Department of Computer Science & Applications, Maharshi Dayanand University, Rohtak, India,, Kumari* Asha , Balkishan  ,   Department of Computer Science & Applications, Maharshi Dayanand University, Rohtak, India
Published: October 2019

The online social media platforms has become the trending as it provide the convenient and free access to users to share their day to day activities and other information. Despite the significance of these online social media platforms, there are also the people that can mislead the other by posting the fake news. These kinds of news are termed as suspicious news. Such kind of misleading news can badly affect the society. It is the way too hard to completely restrict such people from posting anything on social media. But after the detection of such activities, these posts can be removed from social media and users can be restricted from the respective platform. From the years, researchers are continuously working to detect the suspicious activities using machine learning and data mining techniques. This research work addresses the problem of suspicious news detection using the ant colony optimization based ant miner plus technique. This proposed approach is termed as ACODSN (Ant Colony Optimization for the Detection of Suspicious News). The experimentation is conducted on the dataset of FakenewsNet. The system performance is analyzed in terms of evaluation metrics of recall, precision, and f-measure.