bluuebunny/crossref_metadata_2025 huggingface dataset:
Implementation of 3R Principle in Construction and Demolition Waste Management
Authors:   Research Scholar, Annamalai University., Vidhyasekar* B. , Selvan Dr. K. G. ,   Professor, Department of Commerce and Management, Ponnaiyah Ramajayam Institute of Science and Technology University Thanjavur.
Published: October 2019

Building and demolition of structures are common in developing nations owing to fast urbanization taking place. These operations produce an enormous quantity of waste products that are detrimental to the environment, requiring an efficient method of waste management. Construction and Demolition Waste Management (C&DWM) methods frequently embrace the 3R (Reduce, Reuse, Recycle) principle for suitable waste management in construction sites. Managing different waste in separate areas of the industry seems very important nowadays. Most contemporary Western counties around the globe set separate laws to reduce and handle the quantity of waste in various areas of their industries as well. However, waste manufacturing is inevitable in the building sector, and no building site is less waste. Different kinds of waste in building sites can cause infinite social and environmental issues. It seems crystal clear that there is a huge need for waste management in such a scenario. A fresh idea on building waste management has been suggested in latest years is "3R" concept, which is based on three key waste management concepts such as reuse, recycle and reduce. Waste management was discussed in the introduction chapter. Then Construction type of waste was evaluated after Managing was reviewed, then various kinds of waste followed by how to do energy recovery through "3R" principles and lastly how to execute energy recovery through the "3R" principles mentioned. Hopefully the content of this article will benefit various individuals in charge of building projects.
Degradation of Organic Constituents in a Biphasic Anaerobic Digester for Treating Pharmaceutical Wastewater
Authors:   Department of Civil Engineering, Annamalai University, Chidambaram, Kayalvizhi* N. , Asha Dr. B. ,   Department of Civil Engineering, Annamalai University, Chidambaram
Published: October 2019

A laboratory scale of biphasic anaerobic bioreactor was operated in a total working volume of 36.92l with 6.15l of Acidogenic and 30.77l of Methanogenic reactor for treating Pharmaceutical wastewater in a mesophilic conditions. The Organic Loading Rate for this experimental study was varied from 1.448 to 30.80Kg COD/m3.d for Acidogenic Reactor and 0.364 to 9.435Kg COD/m3.d for Methanogenic reactor. The maximum COD removal efficiency was attained 87.54% with OLR of 2.750Kg COD/m3.d in Methanogenic reactor and 27.39% with OLR of 3.578 Kg COD/m3.d Acidogenic reactors. The overall reactor reached the maximum COD removal efficiency of 83.52% with an influent COD of 2864mg/l of pharmaceutical wastewater.
Deep Learning Based Intelligent Rail Track Health Monitoring System
Authors:   Professor and Head, Department of Biomedical Engineering, Kings Engineering College, Chennai, India., C* Chellaswamy , Ponraj Santhi ,   Assistant Prof, Department of Computer Science and Engineering, Sri Muthukumaran Institute of Technology, Chennai, India., K Venkatachalam ,   Associate Professor, Department of ECE, Audisankara College of Engineering and Technology (Autinomous), Gudur, India.
Published: October 2019

This paper describes the possible way of monitoring the health of the rail track to increase the comfort and ride quality of rail transportation. The abnormalities present in the track are identified and rectified at the initial stage. In this paper, Convolutional Neural Network and Extreme Learning Machine Algorithm (CNN-ELMA) based rail track monitoring is proposed to estimate the exact abnormality. The micro-electro-mechanical sensor (MEMS) accelerometers are fixed in the axle box for measuring the acceleration signal. The location of abnormality is measured by a new sensing method even if the signal of the global positioning system (GPS) is absent. To pre-process the raw signal received from the accelerometer is done by using a Continuous Wavelet Transform (CWT). Then the high-level features are extracted using CNN with a square pooling architecture. To evaluate the performance of the proposed CNN-ELMA, it is simulated and compared with four other methods. The comparison results show that the proposed CNN-ELMA is an effective and accurate method useful for the maintenance department of railways. An experiment has been conducted for the four different abnormal locations and the performance of the proposed method is studied.
Pre-Trial Prevention of Insolvency: Technology, Procedures, Innovations
Authors:   Tyumen Industrial University, Tyumen, Russia., Izuymov* Igor Vladimirovich , Murzina Ekaterina Vladimirovna ,   Tyumen Industrial University, Tyumen, Russia, Subbotin Vladimir Jakovlevich ,   Tyumen Industrial University, Tyumen, Russia, Cherepanova Vera Nikandrovna ,   Tyumen State Medical University, Tyumen, Russia, Bogdanova Juliya Zufarovna ,   State Northern Trans-Urals Agrarian University, Tyumen, Russia
Published: October 2019

The purpose of this work is to determine the essence of pre-trial prevention of insolvency of an economic entity, consider the content of this phenomenon, and study its use in order to prevent the existing negative consequences of insolvency proceedings in the economy. The methodological basis of the study comprises the general scientific dialectical method of cognition, which allows considering the institutions of law in the relationship, integrity, and development. Special and specific scientific methods are used: historical and legal, formal and logical, the method of comparative law. In order to achieve this result, the following more specific tasks are proposed: to determine the place of pre-trial prevention of insolvency of an economic entity within the framework of the institution of insolvency; to isolate the structure of the phenomenon of pre-trial prevention of insolvency; to determine the essence of the specific aspects of pre-trial prevention of insolvency; to analyze the features of individual procedures and develop proposals for the legal regulation of their conduct; to develop proposals to improve domestic insolvency law in order to ensure the possibility of preventing the negative consequences of bankruptcies in the pre-trial stages. Based on foreign experience, it is proposed to regulate the activities of domestic entrepreneurs in the field of pre-trial prevention of insolvency of economic entities at the legislative level.
Using Real World Data in Virtual Development and Testing of a Path Tracking Controller for an Autonomous Vehicle
Authors:   Federal State Unitary Enterprise Central Scientific Research Automobile and Automotive Institute ", Kulikov* Ilya Aleksandrovich ,   NAMI",   (FSUE «NAMI»), Moscow, Russia., Ulchenko Ivan Alekseevich ,   Federal State Unitary Enterprise Central Scientific Research Automobile and Automotive Institute "NAMI" (FSUE «NAMI»), Moscow, Russia., Chaplygin Anton Vladimirovich ,   Federal State Unitary Enterprise Central Scientific Research Automobile and Automotive Institute "NAMI" (FSUE «NAMI»), Moscow, Russia.
Published: October 2019

The article describes an approach to development and testing of a path tracking function for an autonomous vehicle. The essence of the approach consists in combining experimental data and mathematical modeling in order to simulate operation of a path-tracking regulator in real world maneuvers. The procedure can be divided into two stages. The first one implies field-testing of the vehicle under control of a human driver with logging of the essential dynamic variables including the driving trajectory. Then the obtained data is used to validate the model of vehicle dynamics being a tool for further simulations. At the second stage, a simulation is performed with tracking of the previously logged trajectory by an automatic regulator. The results of these steps allow for comparison between the human and automatic controls with assessment of pros and cons of the latter and the ways of improving its performance. The proposed approach was implemented within a research and development project aimed at building of an experimental autonomous vehicle. The article describes the obtained results as well as the experiments and the mathematical model used for implementation of the said approach.
Pre-Wetting of Recycled Concrete as Alternative of Chemical, Natural and Industrial Waste Additives
Authors:   Faculty of Engineering, Middle East University, Jordan., Adday* Feras Al , Awad Ayman ,   Faculty of Engineering, Middle East University, Jordan.
Published: October 2019

Destructive infrastructure is increasing day by day due to the successive wars in the Arab region and this led to the formation of large volumes of demolished concrete, which produces a lot of waste materials and visual pollution in the spaces. Meanwhile, environmental protection has become a challenge, not an option. As well as, reusing of demolished concrete in new structures is necessary to preserve the raw resources of aggregate away from attrition. Seventy-two specimens of ( 100 x 100 x 100 mm ) were prepared with water to cement ( W/C ) ratio of 0.4, where have replaced the different proportions of natural aggregate ( NA ) ( 0%, 30%, 45%, and 60% ) by recycled concrete aggregate ( RCA ), and then were added 2.5% super plasticizer ( SP ) in place of cement to other specimens according to previous replacement proportion of RCA to determine the optimum percentage of RCA and to investigate the effectiveness of using Super Plasticizer. The replacement proportion of RCA were 45% of NA. sixty six cubes of 45% - RCA were prepared with a different proportions of 0, 10, 15, and 20 % of instead of a fine aggregate for each the Iron Filler ( IF ) and Al-Qawirah Silica Sand (QSS), it is natural Silica was got from the quarry of AL-Qawirah, Jordan. The use of this type of silica as a substitute for fine aggregate with RCA is the first use in Jordan. The final stage of research was the pre-wetting of RCA by 0%, 2.5%, 5%, and 7.5% as percentage of W/C, it is an extra water added to the 45%-RCA mixtures before an hour from mix process, thirty-six cubes were casted with different proportions of extra water. The results displayed that the workability was reduced by increasing the RCA, while the workability was increase as ratios of W/C increase. The analytical study shows a considerable enhancement of the compressive strength of 2.5% pre-wetting of RCA with 45%-RCA relative to the SP, IF, and NA, where the increase in the compressive strength was 64% and 28% at 2.5% pre-wetting of RCA relative to SP-45% RCA and NA, respectively.
Reactive Power Management through Dispatch Analysis using Evolutionary Algorithms
Authors:   Research Scholar, R.K.University,Rajkot,Gujarat India, Patel* Vishnu , M. Patel Dr. Rajesh ,   Electrical department, Marwadi University, Rajkot, India.
Published: October 2019

Sufficient reactive power requires to maintain system terminal voltages. Reactive power is an important ancillary service requires to be provided locally. Reactive power management involves two main important parts economical reactive power procurement and economical reactive power dispatch which also satisfy technical constraints. Main centering of this work is to dispatch reactive power by considering it as important optimization problem of power system. ORPD is solved as single objective function and multi objective function. Two main objective functions (1) Minimization of real power loss and (2) Diminution of L-index are considered and problem is tested for different IEEE bus systems and results were compared for SPEA and NSGA-II techniques.
MRI Brain Image Classification Based on S-Transform, Sammon Mapping and Naïve Bayes Classifier
Authors:   Department of Computer Science, A.V.V.M Sri Pushpam College, Poondi, Thanjavur, India., Saminathan*
Published: October 2019

In this paper, an efficient method for Magnetic Resonance Imaging (MRI) brain image classification is presented using Stockwell (S)-Transform, Sammon Mapping (SM) and Naïve Bayes (NB) classifier. Initially, the MRI brain images are represented in frequency domain by S-Transform. As the representation in frequency domain provides more detailed information than spatial domain, S-Transform is used for feature extraction. The high dimensional S-Transform feature space increases the complexity. Hence, SM technique is used to reduce it and then classification is made by NB classifier. The performance measures such as sensitivity, accuracy and specificity are computed to evaluate the system. Result shows the better classification accuracy of 94% is obtained by S-Transform based SM technique with NB classifier with 94% of sensitivity and specificity.
A Hybrid Surf-Based Tracking Algorithm with Online Template Generation
Authors:   ECE Deptt, Maharaja Surajmal Institute Of Technology, Delhi India., Pareek* Anshul , Arora Dr. Nidhi ,   CSE Department, G.D. Goenka University, Gurugram, India.
Published: October 2019

Visual tracking is the most challenging fields in the computer vision scope. Occlusion full or partial remains to be a big mile stone to achieve .This paper deals with occlusion along with illumination change, pose variation, scaling, and unexpected camera motion. This algorithm is interest point based using SURF as detector descriptor algorithm. SURF based Mean-Shift algorithm is combined with Lukas-Kanade tracker. This solves the problem of generation of online templates. These two trackers over the time rectify each other, avoiding any tracking failure. Also, Unscented Kalman Filter is used to predict the location of target if target comes under the influence of any of the above mentioned challenges. This combination makes the algorithm robust and useful when required for long tenure of tracking. This is proven by the results obtained through experiments conducted on various data sets.
Quality Assessment of SCGPC using Ultra-Sonic Pulse Velocity at High Temperature
Authors:   Department of Civil Engineering, Jawaharlal Nehru Technological University, Anantapur, India., Yedukondalu* C. , Sashidhar C. ,   Department of Civil Engineering, Jawaharlal Nehru Technological University, Anantapur, India.
Published: October 2019

This paper presents the effect of high temperature on compressive strength and ultra-sonic pulse velocity of self compacting geopolymer concrete (SCGPC) mixes with varying molarities viz., 8M, 10M and 12M. At different ages, the specimens were kept at a high temperature (100, 200, 400, 600 and 800oC) for 2 hours and then testing of the specimens was carried out. Prior to compressive strength of test specimens, ultra-sonic pulse velocity (UPV) test was performed after 7, 28 and 56 days of curing. From the results, it is revealed that the compressive strength and UPV results of SCGPC were decreased with the increase in temperature from 1000C to 8000C in all curing periods. Finally, it is concluded that the significant decrement in compressive strength and UPV up to 8000C is mainly due to continuous moisture loss from the specimens and increase in the average pore size, which produce the lower strength and pulse velocity of the concrete.
Pythagorean Triples in Cryptography and Associated Networks
Authors:   Department of Mathematics, School of Arts, Science, SASTRA Deemed to be University, Thanjavur, India,, Yegnanarayanan* V. , Yakkala Poojitha ,   School of Computing, SASTRA Deemed to be University, Thanjavur, India,
Published: October 2019

Any organization is obliged to ensure secrecy of data from hacking criminals complying with the increasing demand for secured data. So data preservation is indispensablethrough cryptographic methods. It is adoptedseveralreal life applications such as ecommerce, In this paper we indicated a procedure for generating different Pythagorean triples and with the help of C++ coding developed a mechanism for both encoding and decoding of a plain text in English alphabets. We also demonstrated them with illustrative examples.
Aesthetic and Technological Basis for Synthesis of Academic and Pop Vocal Traditions in the Aspect of Musical Pedagogy
Authors:   Russian State Social University, Moscow, Russia., Yushchenko* Natalya Sergeevna , Trifanova Vera Petrovna ,   Russian State Social University, Moscow, Russia., Tsarev Denis Vladimirovich ,   Russian State Social University, Moscow, Shcherbinina Valentina Mikhailovna ,   Russian State Social University, Moscow, Russia., Kats Maria Lvovna ,   Russian State Social University, Moscow, Russia.
Published: October 2019

The paper systematizes the aesthetic and technological foundations and describes the method of teaching modern pop singing based on the synthesis of academic and pop vocal traditions in such a style as crossover. The subject of the study is a set of theoretical, artistic, aesthetic, methodological and pedagogical principles of the modern vocal style, combining the features of academic and pop vocal with their specificity.
Contract Manufacturing: The Boon for Developing Economies
Authors:   Chitkara Business School, Chitkara University, Punjab, India, Singla* Babita , Singh Amandeep ,   Chitkara Business School, Chitkara University, Punjab, India
Published: October 2019

The paper highlights about the Business to Business Scenario in India mainly in terms of the status of contract manufacturing approach. This work also tries to find the role & importance of contract manufacturers in the Indian Industry. The impact of various factors like regulatory pressure, industry competition, change in patent regime & labour cost arbitrage is also looked upon. The paper highlights the need for contract manufacturing in this particular sector for domestic & international sales. The paper concludes by emphasizing on the fact that the industry is in growth stage and if it is able to integrate various growth factors, it’ll be one of the most promising sectors in India.
University Teaching Technology
Authors:   Russian State Social University (RSSU), Moscow, Russian Federation., Lyapunova* N.V.
Published: October 2019

In modern conditions, the importance of methodological culture of a teacher is increasing. First of all, this is due to the peculiarities of the historical moment experienced by human society. Its content is the transition to the information society. Of course, such global phenomena have a powerful impact on society, its educational system and research methodology. Many researchers believe that the completion of the next phase of social development entails the development of crisis phenomena in education and science. Moreover, the key to successful teaching in these conditions can be a high level of methodological culture of a teacher.
Signal Processing Techniques for Removal of Various Artifacts from Obstructive Sleep Apnea Signals
Authors:   Assistant Professor, Electronics and Communication Engineering , Vallurupalli Nageswara Rao Vignana Jyothi Institute of Engineering and Technology (VNR VJIET), Telangana, India., Kaushik* C. , Sahitya G. ,   Assistant Professor, Electronics and Communication Engineering , Vallurupalli Nageswara Rao Vignana Jyothi Institute of Engineering and Technology (VNR VJIET), Telangana, India., Sree V. Krishna ,   Associate Professor, Electronics and Communication Engineering, Vallurupalli Nageswara Rao Vignana Jyothi Institute of Engineering and Technology (VNR VJIET), Telangana, India., Rohan Remalli ,   M.Tech, Embedded Systems, Electronics and Communication Engineering, Vallurupalli Nageswara Rao Vignana Jyothi Institute of Engineering and Technology (VNR VJIET), Telangana, India.
Published: October 2019

Sleep is judgmental to health and well-being. Deficient quality sleep is similar with a wide range of negative outcomes varies from schizophrenia to cardiovascular disorders. Obstructive sleep apnea is one of the sleep disorders. In order to identify the various syndromes the signals are need to record by using the sensors. Sleep signals are recorded by using the polysomnography (PSG) labs which is the old traditional and gold standard for recording the sleep signals. PhysioNet is a large online medical database that consists of a large collection of recordings of various physiological signals. PhysioNet database consist of sleep apnea database available. Physionet website is a universal service, physionet resource supported by the national institute of health’s National Institute of Biomedical Imaging and Bioengineering (NIBIB) and National Institute of General Medical Sciences (NIGMS). This survey paper aims to bring the different Signal Processing Techniques for Removal of Various Artifacts from Obstructive Sleep Apnea Signals to identify sleep apnea syndrome, because pre-processing is most effective and efficient to reduce unwanted signals from the original sleep signals. While recording the sleep apnea signals various artifacts records along with raw signals either directly or indirectly due to the internal and external sources like Power line interference, Muscle contractions, Electrode contact noise, Motion Artifacts, Baseline wandering, Noise generated by electronic circuits, while breathing and coughing, body position movements etc, and they need to be eliminated in order to acquire genuine health information. So in order to remove there artificats from the sleep signals the signal processing techniques (filtering techniques) are predominantly used for pre-processing of the sleep signals and have been executed in a wide variety of systems for analysis. Filtering of the sleep signal is contingent and should be implemented only when the required statistics remains cryptic.
On Fibonacci Numbers and its Applications
Authors:   School of Mechanical Engineering, SASTRA Deemed University, Thanjavur, India., Ramanan* R Venkat , Likhitha L ,   School of Electrical and Electronics Engineering, SASTRA Deemed University, Thanjavur, India., Narayanan Veena ,   Department of Mathematics, SASTRA Deemed University, Thanjavur, India., Srikanth R ,   Tata Realty-SASTRA Srinivasa Ramanujan Research chair professor for Number Theory, SASTRA Deemed University, Thanjavur, India
Published: October 2019

In this article, we explore the representation of the product of k consecutive Fibonacci numbers as the sum of kth power of Fibonacci numbers. We also present a formula for finding the coefficients of the Fibonacci numbers appearing in this representation. Finally, we extend the idea to the case of generalized Fibonacci sequence and also, we produce another formula for finding the coefficients of Fibonacci numbers appearing in the representation of three consecutive Fibonacci numbers as a particular case. Also, we point out some amazing applications of Fibonacci numbers.
Numerical Research on Thermal Variations along SSF Pin Fins Shaped with SSM Processing
Authors:   Department of Production Engineering, Veer Surendra Sai University of Technology, Sambalpur, Odisha, India., Mohapatra* Pabak , Kund N. K. ,   VSS University of Technology, Burla, Odisha, India.
Published: October 2019

Fins or heat sinks are meant for boosting heat transfer. Therefore, planned computations remain fortified for examining the impacts of SSF pin fin on thermal dispersal concerning constant thermal value 6 W/cm2. For that SSF pin fins materials of stainless steel and aluminum are preferred. Usual convective equations are solved to foretell thermal apprehensions. As anticipated, for both the stated SSF pin fins, temperature and heat flux declines for increasing length scales. Additionally, temperature distributions on SSF aluminum pin fin lays beneath SSF stainless steel pin fin. Hence, heat dissipation from SSF aluminum pin fin is relatively higher. Obviously, it may be owing to quite higher thermal conductivity of SSF aluminum pin fin. Consequently, it delivers higher, gregarious and remarkable thermal behaviors. Nevertheless, both simulation forecasts remain analogous with one another.
Effective Bandwidth Prediction through Statistical Technique over Heterogeneous Networks
Authors:   Research Scholar, Pacific Academy of Higher Education and Research, Udaipur, India., Deshpande* Renuka G. , Ragha Dr. Lata ,   Head of Department, Department of Computer Engineering at Fr. C. Rodrigues Institute of Technology, Vashi, Navi Mumbai, Maharashtra, India., Sharma Dr. Satyendra Kumar ,   Director, Modern Institute of Technology, Research Centre, Alwar ,Rajasthan, India.
Published: October 2019

Real time Streaming Media (Video Streaming) applications are mostly popular on the mobiles and computers using Internet. Due to higher demand of video streaming through wireless network and mobile devices, video are being transmitted through various heterogeneous networks so as to efficiently deliver to the clients devices. This has resulted in the lower quality of real time video, since real time streaming media has quality of parameter requirements like high bandwidth, low packet loss ratio, higher delay and jitter. Streaming media such as video through heterogeneous networks has more challenges due to unreliable wireless networks and device mobility; moreover bandwidth, delay and loss are unknown in advance and are unbounded. In this paper, effective bandwidth prediction through statistical technique over heterogeneous wireless communication networks is proposed. Statistical technique offers computationally efficient bandwidth prediction with reasonably better accuracy. Especially with mobile devices with limited computational power and battery life, necessitates better bandwidth prediction with efficient but computationally simpler algorithms. Bandwidth predictions assist in selecting effective network for video streaming when various heterogeneous networks are available. Detailed bandwidth prediction algorithm is presented with use of quality of service (QoS) parameters data sets available online.
Sensor Based Location Tracking in Crematorium
Authors:   Department of Computer Science and Eng., Incheon National University, Incheon, Korea., Hong* Youn-Sik , Jeon Hye-Kyung ,   Department of Computer Science and Eng., Incheon National University, Incheon, Korea.
Published: October 2019

We focused on indoor location tracking of an AGV (automatic guided vehicle) in crematorium. Our concern is that it should transport a dead body safely from the loading place to the designated furnace without stopping in transit. The entire path can be divided into four sub-paths: straight-line, deceleration, rotation, and path reentry. Since these sub-paths have different driving conditions, the method of location tracking to be applied for each sub-path is quite different. In the straight line sub-path, a method of finding the defined path by recognizing landmarks using infrared sensor and image sensor is applied. In the deceleration sub-path, BLE beacons are used to tell the AGV to slow down for rotation. In the 90-degree rotation sub-path, the speed control of the AGV is performed in three sections: deceleration, constant velocity, and acceleration. Finally, in the path reentry sub-path, image marker based relative distance fingerprinting can control the AGV to move into the furnace safely.
Formation of Technological Competence of the Teacher of Professional Training
Authors:   Minin Nizhny Novgorod State Pedagogical University, Nizhny Novgorod, Russian Federation,, Z.V.* Smirnova , O. I. Vaganova ,   Minin Nizhny Novgorod State Pedagogical University, Nizhny Novgorod, Russian Federation,, E. Y. Konovalova ,   Federal State Budget Educational Institution of Higher Education , Togliatti State University., Kulagina  ,   J. A. Penza State Technological University Penza Russian Federation, N.E Zhitnikova ,   Minin Nizhny Novgorod State Pedagogical University, Nizhny Novgorod, Russian Federation, N. V. Frolova ,   Minin Nizhny Novgorod State Pedagogical University, Nizhny Novgorod, Russian Federation., E. V. Lukina ,   Minin Nizhny Novgorod State Pedagogical University, Nizhny Novgorod, Russian Federation
Published: October 2019

In the context of the reform of the Russian educational system, the main task of the higher educational institution was the training of highly qualified specialists through the formation of appropriate competencies. The new competence paradigm has made it necessary to find the most effective ways to ensure this process. To date, the priority in the development of domestic higher education is the use of a technological approach that allows creating more favorable conditions for the preparation of graduates. The article aims is to analyze the training of specialists in higher education based on the technological approach. Noting its diversity and versatility, the authors reveal its functions and structural elements. On the example of the formation of future graduates in the field of training 43.03.01 "Service", the authors consider the objectives, content and monitoring in accordance with the implementation of the technological approach. The article identifies the competence to achieve the formation of which is aimed at the content of training, built in the framework of modern pedagogical technologies. Innovative technologies, research projects, information and telecommunication technologies and presentations occupy a large share in theoretical training and practice. The authors reveal the possibilities of gaming, modular technologies, and technologies of contextual and problem learning in the formation of professional competencies. The authors state that the methodological basis for the preparation of students for professional activities in higher education is a technological approach at a high level providing the formation of the necessary competencies.
QAM Transmission over RoF Using Fabry Perot Laser Diode and Continuous Wave Laser Diode
Authors:   Assistant Professor, Department of Electronics and Communication Engineering, Providence College of Engineering, Chengannur, Kerala, India., John* Kuruvilla , Philip Merin ,   Assistant Professor, Department of Electronics and Communication Engineering, Providence College of Engineering, Chengannur, Kerala, India., S. Abhijith ,   Assistant Professor, Department of Electronics and Communication Engineering, Providence College of Engineering, Chengannur, Kerala, India., Francis Jincy ,   Assistant Professor, Department of Electronics and Communication Engineering, Providence College of Engineering, Chengannur, Kerala, India.
Published: October 2019

This paper introduces the Quadrature Amplitude Modulation (QAM) Radio over Fiber (RoF) framework dependent on Optical Frequency Comb (OFC) generation utilizing Fabry-Perot Laser Diode (FPLD) and Continuous Wave Laser Diode (CWLD). In this, optical Millimeter-Wave (MMW) can be created ether utilizing ease FPLD with an outside optical infusion or a continuous wave laser diode. At the base, optical MMW can be recognized by utilizing photodetector in the two transmissions. The experimental results are explained by using the constellation and eye diagram.
Ensembling Coalesce of Logistic Regression Classifier for Heart Disease Prediction using Machine Learning
Authors:   Assistant Professor, Department of Information Systems, College of Computer and Information Sciences, Princess Nourah Bint Abdul Rahman university, Riyadh-11671, Saudi Arabia, Basheer* Shakila , Mathew Rincy Merlin ,   Lecturer, Department of Computer Science, College of Science and Arts, Khamis Mushayt, King Khalid university, Abha, Asir, Saudi Arabia., Devi M. Shyamala ,   Associate Professor, Computer Science and Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Avadi, Chennai, TamilNadu, India.
Published: October 2019

In today’s modern world, the world population is affected with some kind of heart diseases. With the vast knowledge and advancement in applications, the analysis and the identification of the heart disease still remain as a challenging issue. Due to the lack of awareness in the availability of patient symptoms, the prediction of heart disease is a questionable task. The World Health Organization has released that 33% of population were died due to the attack of heart diseases. With this background, we have used Heart Disease Prediction dataset extracted from UCI Machine Learning Repository for analyzing and the prediction of heart disease by integrating the ensembling methods. The prediction of heart disease classes are achieved in four ways. Firstly, The important features are extracted for the various ensembling methods like Extra Trees Regressor, Ada boost regressor, Gradient booster regress, Random forest regressor and Ada boost classifier. Secondly, the highly importance features of each of the ensembling methods is filtered from the dataset and it is fitted to logistic regression classifier to analyze the performance. Thirdly, the same extracted important features of each of the ensembling methods are subjected to feature scaling and then fitted with logistic regression to analyze the performance. Fourth, the Performance analysis is done with the performance metric such as Mean Squared error (MSE), Mean Absolute error (MAE), R2 Score, Explained Variance Score (EVS) and Mean Squared Log Error (MSLE). The implementation is done using python language under Spyder platform with Anaconda Navigator. Experimental results shows that before applying feature scaling, the feature importance extracted from the Ada boost classifier is found to be effective with the MSE of 0.04, MAE of 0.07, R2 Score of 92%, EVS of 0.86 and MSLE of 0.16 as compared to other ensembling methods. Experimental results shows that after applying feature scaling, the feature importance extracted from the Ada boost classifier is found to be effective with the MSE of 0.09, MAE of 0.13, R2 Score of 91%, EVS of 0.93 and MSLE of 0.18 as compared to other ensembling methods.
An Advanced Framework to Design A Smart Store System using IoT, AI, and Data Analytics that Improves Business Processes for Micro and Small Businesses
Authors:   CEO, Zonopact, Inc. & Founder of EverythingTech, MS, Computational Science and Engineering from Georgia Institute of Technology (USA), Ramgir* Mayur
Published: October 2019

Small and Microbusinesses struggle for their survival as they are always short of resources, clients and data to make informed decisions. Only if they knew what to sell, when to sell and whom to sell, they would not only survive but also thrive. This is where they need some help of technology like IoT and AI to take their business to the next level. IoT and AI can be used as a combination to improve various business processes for small and micro businesses. This led to the invention of a new Framework which uses IoT, AI and Data Analytics to improve business processes for various types of businesses. Let us take a service example like selling personal use stuff such as clothes, jewelry, shoes, etc. These types of businesses could use printable near field RFID tags that can be bought for as low as $0.01 each (price may go down for bulk purchases) to put on the products. This tag will carry various information like purchase history, price history, discounts, availability, etc. With the use of these tags, businesses would be able to personalize the buying experience for the customers and learning their shopping habits. This could open up greater revenue opportunities by improving the existing customer base [1][4]. In this paper, we will discuss this framework and an implementation of it in a retail world.
Energy Efficient and Position Aware Routing for Auv Aided Underwater Acoustic Sensor Network
Authors:   Dept of ECE, Sathyabama Institute of Science and Technology, Chennai, India., Ayyadurai* M. , Raja Dr. S.Selvakumar ,   Principal, Kakatiya Institute of Technology and Science for Women, Nizamabad, India.
Published: October 2019

Underwater pipeline provides an economic means of oil, gas and water transportation. The underwater pipeline incurs damage due to corrosion, water pressure and mudslides. The oil and gas from impaired pipeline leak in to aquatic environment, affects aquatic eco system and loss of resources. Hence, submarine pipeline require constant monitoring. The submarine pipelines monitor by underwater acoustic sensor network (UASN). The UASN implementation has limitations in terms of bandwidth, ocean current influence on buoys node, end-to-end delay and depth. Hence, mobile Autonomous under water vehicle (AUV) deploy to route data from fixed sensor node to mobile buoys node with minimal energy consumption. The end-to-end delay of UASN depends on routing protocol and node movement due to ocean current. In this paper, we propose CAT Swarm Optimization algorithm (COA) routing in AUV to seek and track mobile buoys node and minimize end-to-end delay, energy consumption between nodes in UASN. The COA performance analyze in NS2-Aquasim environment and the same implement in 1.5x1.5 meter test bed with water for performance analysis. The COA performed better in terms of end-to-end delay and energy consumption compared to conventional routing protocols.
Flow Simulation in Abrasive Fluid Jet Machining with Water as Carrier Medium using CFD
Authors:   Faculty-Department of Mechanical Engineering, Sri Sai Ram Engineering College, Chennai, Ramanathan* S. , Naveen E. ,   Faculty-Department of Mechanical Engineering, Sri Sai Ram Engineering College, Chennai, Vijay K. ,   UG Student- Department of Mechanical Engineering, Sri Sai Ram Engineering College, Chennai, Terrin M.J.Campbell ,   UG Student- Department of Mechanical Engineering, Sri Sai Ram Engineering College, Chennai, Kisshore S.Anish ,   UG Student- Department of Mechanical Engineering, Sri Sai Ram Engineering College, Chennai
Published: October 2019

Tremendous growth is seen in the field Machining of Materials where the engineering applications are highly demandable. Currently Abrasive Fluid Jet Machining is used to machine wide range of Engineering and Structural Materials including Aerospace, Defense and Aircraft Application which require high strength to weight and stiffness to weight ratios. In Abrasive fluid jet machining the abrasives are premixed with a suspended liquid to form slurry. The flow of the Abrasive Fluid mixture through the nozzle, results in rapid wear of the nozzle which degrades the cutting performance. This may lead to the divergence of the Abrasive Fluid Jet such that the angle of impingement varies. This jet impingement angles have more influence on the machining responses than the normal jet impingement angle as the depth of cut is improved thereby minimizing the shallow cuts within the same total cutting time. Nozzle replacement cost plays a vital role in the economics of the machining process and improvements in its wear characteristics are critical for the growth of such machining technology. It is well known that the inlet pressure of the abrasive fluid suspension has significant effect on the erosion characteristics of the inside surface in the nozzle. An analysis was carried out with constant nozzle taper angle and water as carrier medium. The objective of this work is to analyse the effect of inlet operating pressure on wall shear and exit kinetic energy with respect to Carrier medium. The two phase flow analysis was carried by using computational fluid dynamics tool CFX. The availability of optimized process parameters of abrasive fluid jet machining is limited to water and experimental test can be cost prohibitive. In this case computational fluid dynamics analysis provided better results.
Applying Methods of Mathematical Modeling in Cattle Breeding
Authors:   Volga Research Institute of Production & Processing of Meat & Dairy Products, Omarov* Ruslan ,   Stavropol State Agrarian University, Stavropol, Russia., Gorlov Ivan ,   Volga Research Institute of Production & Processing of Meat & Dairy Products., Slozhenkina Marina ,   Volga Research Institute of Production & Processing of Meat & Dairy Products., Mosolova Natalia ,   Volga Research Institute of Production & Processing of Meat & Dairy Products., Shlykov Sergei ,   Stavropol State Agrarian University, Stavropol, Russi.
Published: October 2019

In this manuscript has presented the results of applying modern methods of mathematical modeling in animal husbandry. To conduct the research has used the method of least squares, which has reflected in the work by approximation probabilistic non-linear relations, making it possible to establish the relationship between different measurements the body parts of animal and meat productivity, and linear measurements of the udder.
Efficient and Privacy for Data Integrity and Data Replication in Cloud Computing
Authors:   B.Tech (Information Technology) from Pallavan College of Engg , Kanchipuram, Tamil Nadu, India, Gokulakrishnan* S. , Gnanasekar Dr. J.M. ,   Professor Department of Computer Science and Engineering, Sri Venkateswara, Chennai
Published: October 2019

Distributed computing and capacity administrations enable customers to move their server farm and applications to unified huge server farms and in this manner keep away from the weight of neighborhood information stockpiling and upkeep. In any case, this stances new moves identified with making secure and solid information stockpiling over temperamental specialist organizations. In this examination, we address the issues of guaranteeing the uprightness of information stockpiling and information replication in distributed computing. To begin with, specifically, we consider strategies for decreasing the weight of producing a steady measure of metadata at the customer side. what's more, Second we proposed and set forth the aftereffects of a framework which will execute a capacity technique that uses the Division and Replication procedure for putting away the information. In this framework, the record will be divided and these parts will be duplicated by the replication factor before putting away it upon the cloud. Replication of a prevalent document and putting away its imitation in the areas closer to the customers who are settling on solicitations is the best decision to lessen the execution time. Despite the fact that replication helps in expanding accessibility, the topic of how to choose an ideal replication number and right areas to put the copies are open difficulties. By abusing some great characteristics of the bilinear gathering, we can devise a basic and effective review administration for open confirmation of untrusted and re appropriated capacity, which can be significant for accomplishing broad organization of distributed computing. While numerous earlier examinations on guaranteeing remote information uprightness did not consider the weight of creati check metadata at the customer side, the target of this investigation is to determine this issue. In addition, our plan likewise underpins information elements and open obviousness. Broad security and execution investigation demonstrates that the proposed plan is profoundly effective and provably secure.
The Impact of Inflation Volatility on an Enterprise’s Innovation Strategy
Authors:   Department of International Economic Relations and Economic Theory International University of Business and Law, Kherson, Ukraine, Dikiy* Alexander , Lepyokhina Elena ,   Department of Marketing, International University of Business and Law, Kherson, Ukraine, Nikolaienko Yurii ,   Department of Finance, Banking and Insurance, Chernihiv National University of Technology, Chernihiv, Ukraine, Kochevoi Maxym ,   Department of Administrative Management and Market Problems, Odessa National Polytechnic University, Odessa, Ukraine, Kolomina Olha ,   Department of Management of Foreign Economic and Innovation Activities, Odessa National Polytechnic University, Odessa, Ukraine, Shuplat Olena ,   Department of Corporate Finance and Controlling, SHEE “Kyiv National Economic University named after V. Hetmana”, Kyiv, Ukraine
Published: October 2019

The objective of the study was to determine the effect of inflation volatility on an enterprise's innovation strategy. The study showed that increasing inflation leads to a decrease in the stationary level of potential output, as well as to a decrease in the rate of economic growth in the process of transition to a stationary state. A formula is proposed for calculating the total effect of inflation on the level of enterprise output. The negative impact of the inflation rate on the welfare of economic agents was revealed, which is expressed in the fall in their equilibrium consumption level. Higher-income countries have been shown to suffer more from high inflation than poorer countries. All conclusions made in the analysis of the dynamic model of the impact of inflation on potential output are verified based on econometric modelling using methods and models for panel data: models with fixed effects, models with random effects, and a generalized method of moments. Moreover, the obtained empirical results are stable concerning changes in the specification of the equation and estimation methods.
Predicting and Staging Chronic Kidney Disease of Diabetes (Type-2) Patient using Machine Learning Algorithms
Authors:   Department of CSE, Daffodil International University, Dhaka, Bangladesh., Basak* Setu , Alam Md. Mahbub ,   Department of CSE, Daffodil International University, Dhaka, Bangladesh., Rakshit Aniruddha ,   Department of CSE, Daffodil International University, Dhaka, Bangladesh., Marouf Ahmed Al ,   Department of CSE, Daffodil International University, Dhaka, Bangladesh., Majumder Anup ,   Department of CSE, Jahangirnagar University, Dhaka, Bangladesh.
Published: October 2019

Mortality because of unending kidney disease increments essentially in recent years. Nowadays, about 422 million patients are suffering from diabetes among them around 30 percent of patients with Type 1 (adolescent beginning) diabetes and around 10 to 40 percent of those with Type 2 (grown-up beginning) diabetes in the end will experience the negative impacts of kidney damage. It is evident, that early detection of Chronic Kidney Disease (CKD) can mitigate the level of damage in the adulthood. In this paper, we have presented a comparative analysis based on the performance of five different algorithms-Naive Bayes (NB), In-stance Based Learning (IBK), Random Forest (RF), Decision Stump (DS) and Decision Tree (J48) for predicting CKD of diabetes patients only by urine test. Among all the algorithms the IBK gives the best result. Our comparison of different algorithms will help people with diabetes to find out if they are having CKD or not.
Ternary -SO-semirings-3
Authors:   Research Scholar Department of Mathematics, Acharya Nagarjuna University and Department of Mathematics, KKR&KSR Institute of Technology &Sciences Vinjanampadu, Guntur, Kothuru* Bhagyalakshmi , Babu V.Amarendra ,   Department of Mathematics, AcharyaNagarjuna University.
Published: October 2019

“In this paper we are introducing the notions of subtractive and strong subsets in partial ternary  - semirings. We show that in a ternary  - SO semiring satisfying that every non-zero ideal is strong and subtractive Further we will show that join of any two ideals is equal to the sum of those two ideals in a ternary  - SO semiring satisfying the decomposition property. In a ternary  - SO semiring satisfying the decomposition property then ideal(R) is a distributive lattice”.