bluuebunny/crossref_metadata_2025 huggingface dataset:
Design and Implementation of FPGA Based Configurable AI Architecture with Deep Learning Algorithm
Authors: Tamizhelakkiya  , Kumar Utkarsh , Simha Dussa Vishnu , Sahu Pratyush Prasanna
Published: November 2019

Our main aim is to design a reconfigurable FPGA architecture using Network on chip using deep learning which act as a validation algorithm. In the Existing System we were using WiNoC (wireless network on chip)which was not reconfigurable. The energy saving in existing model was 55% whereas the proposed model saves upto 83 % of energy. Within the projected system Deep Learning formula is developed in VLSI design with acceptable model is intended on FPGA SOC chip, by that performance are analysed in terms of error rate, regression rate, confusion rate.
Aadhar Based Electronic Voting Machine
Authors: Janarthanan M , Reddy Mj Vishnu Theja , Reddy Ch Ravi Shankar , Reddy N Varunesh , Nikhil K
Published: November 2019

The “AADHAR BASED ELECTRONIC VOTING MACHINE” describes an easy and secure electoral voting system for Indian election. Here two levels of authentication is done. Using RFID based aadhar card and by taking fingerprints because both the levels are unique for every user. User id and fingerprint are to be matched in given database or else he/she cannot eligible to cast the vote. The process of this system is done in a simple way, first user RFID card is scanned for user details then fingerprint is taken to verify and using keypad can press the number of his/her favourite candidate to cast the vote after that lcd will displays a confirmation message. This will be the high secured system than our present voting system because authentication identity is verified by two levels before casting a vote. Directly votes will be counted so that the time taken by election commission to announce results will be fast and in short period.
Design of Porous Structures for Scaffold Synthesis and its FEA
Authors: Mahesh CH M N , Devaprasad Ashley Minu , Muthu P. , Moorthy Thrinayan
Published: November 2019

Injuries are experienced in many forms and take time to heal depending on the severity. Some injuries are recovered from naturally/quickly, while others take longer periods of time. Scaffolds are porous structures which provide a platform for cells to regenerate on. They provide support in times when individuals cannot regenerate tissues on their own. The materials of scaffolds can be varied to determine the best mechanical property for implanting in the body. In our study, we have tested stress and strain of PCL and titanium material for six proposed designs. From our study, we were able to conclude that the ‘sphere’ provided the most stability whereas the ‘eccentric pores’ design was the least stable. These results were persistent for both the materials studied with Ti6Al4V having the greatest properties. As a result, we concluded that titanium is the best material to be used in terms of scaffolds, by implanting it as an eccentric pores and spheres.
Securing Hadoop Distributed File System using Intelligence based Sensitivity bits
Authors: Suganya S. , Selvamuthukumaran S. , Swaminathan S. , Kalaichelvi V.
Published: November 2019

Hadoop is a widely used analytical tool for analyzing large volume of data which are in terms of Exa & Zetta bytes. Hadoop Distributed File System(HDFS) is a well-known storage system which provides distributed storage using commodity hardware. Since Big Data consists of highly sensitive data like Electronic Health Records, Financial Data etc., harnessing big data access and security plays a vital role. The bottom most layer of security can be provided by encryption. Since the data stored is highly unstructured, wider in variety and the velocity at which data is stored is also unpredictable, traditionally used ciphers like AES, RSA, RC4 etc. will not work efficiently on Big Data. The solution must have to consider at-risk sensitive data, variety of data which needs intelligence to classify the data. When data blocks are stored in data nodes, with each block 4-bits called sensitivity bits has to be added. Two bits indicate the level of sensitivity and two more bits indicate the type of data. These 4-bits are used by the map and reduce functions to effectively encrypt the required data blocks alone and not all, in a time efficient manner by using the available commodity hardware.
CROSS DOMAIN OPINION MINING USING MAXIMUM ENTROPY BASED CLASSIFIER
Authors: Manimekalai V. , Gomathi S. , Rohini
Published: November 2019

The current analysis is play a dominant role in opinion mining is additionally referred to as sentiment analysis because of clear volume of opinion made net resource like discussion type, review sites, blogs, and tweets area unit on the market in digital type. Sentiment analysis is that the field of study that analyzes client opinion, feedback, sentiment analysis, attitudes and feeling from communication. At intervals fraction second, we have a tendency to classify the text in several manner in several seconds. It’s one in all the active analysis areas in linguistic communication process [NLP]. There are a unit range of techniques we want to classify the Opinion reviews. The main problematic in the sentiment analysis is to understand the usage of negation and the taxonomy of positive and negative sentiments recorded by the users in the social group. The proposed approach that extracts and classifies opinion words from one domain called source domain and predicts opinion words of another domain called target domain using a semi-supervised approach, its combines modified maximum entropy and bipartite graph clustering. A comparison of opinionclassification of reviews on four different product domains are presented. The results demonstrate that the proposed method perform relatively well in comparison to the other methods. Comparison of SentiWordNet of domain-specific and domain-independent words reveals that on an average 72.6% and 88.4% words, respectively, are correctly classified.
Device Identification and Authentication for Internet of Things using predefined characteristics
Authors: Kirubadevi T. , Ramamoorthy S. , Rajavarman V.N.
Published: November 2019

The Internet of Things (IoT) has been growing rapidly in the past few years. IoT constitutes various components such as smart devices, users and internet services which interact with each other to share the resources. IoT has lot of security and authentication issues. The need for device identification is still being a big challenge. There is a demand to identify the device ID operated in heterogeneous environment. The devices with different properties and characteristics needed to be managed and identified. Then consistency in the state of devices is required to manage its identity. This paper involves an approach to find or identify a device by extracting its features and combining it to record as a pattern on time basis. Thereby device authentication also becomes feasible. The Result of the simulation justifies that the patterns that are used to identify a device becomes noteworthy.
Iot Based Garden Monitoring System
Authors: Sambath M , Prasant M , Bhargav Raghava N , Jagadeesh S
Published: November 2019

In an agricultural country like India a lot of people will work with green thumb in mind. Most of the people loves to grow plants at home, but due to their work schedule they very often take care of plants. The only solution to this problem is smart monitoring of the plant growth by modernizing the current traditional methods of gardening. Hence the proposed system targets at smart way of monitoring the plant growth using automation and IoT technologies. Internet of things (IoT) provides various applications for crop growth and monitoring the growth conditions. Main theme of this paper is to increase the plant growth condition by maintaining the suitable moisture level and temperature with the use of moisture sensor and temperature sensor. This paper works for the crop development at low quantity water consumption by providing an automatic watering system to the user. People often waste lot of time for watering the plants so an efficient management of water should be developed. The proposed system will work based on the information send by the sensors and so proper growth for the plant will be estimated. With the help of the moisture sensor and temperature sensor details like moisture content and the temperature will be obtained and so based on those reading automatic watering will be done. The major advantage of this system is to make a suitable environment for plant growth and also to minimize the water consumption.
MRI Brain Image Segmentation and Detection Using K-NN Classification
Authors: Venkatesh  , Leo M.Judith
Published: November 2019

Detection of brain tumor at an early stage is important to avoid death. Brain tumor arises due to the abnormal growth of the cells. Magnetic Resonance Imaging (MRI) is a computer-based image processing technique used for detecting tumor size, location and shape. In order to classify it is important to segment MRI brain images. In this paper, MRI brain tumor is segmented using k-means clustering algorithm and various features of the segmented tumor was analyzed using Gray level Co-Occurrence matrix (GLCM). These features were used as input for the k-Nearest Neighbour (k-NN) classifier and used for the classification of tumor as Benign or Malignant. The accuracy of the proposed algorithm is 85% respectively.
Review of Meta-Heuristic Optimization based Artificial Neural Networks and its Applications
Authors: Devikanniga D. , Vetrivel K. , Badrinath N.
Published: November 2019

There are several meta-heuristic optimization algorithms developed on inspiration from nature. Artificial neural network proves to be efficient among other machine learning techniques. The efficiency of classification and prediction is improved by optimizing artificial neural network using the meta-heuristic optimization algorithms. The review of some of these hybrid artificial neural networks that are applied for benchmark datasets and to specific real-time experiments for classification and prediction are discussed. Upcoming sections cover the current trending research topics dealing with optimized artificial neural network concepts and provide some interesting insights for researchers to use in their respective applications domains of interest.
Toolkit for Web Development Based on Web Based Information System
Authors: Selvan S.Muthamil , Krishna Ogiboina Purna Sai , Raviteja Siginamsetty
Published: November 2019

this paper intends to exhibit the social and authoritative parts of electronic data frameworks. Presently we are in the 21st century and two decades will be finished soon. A century ago has been considered as the ascending of Information and correspondence innovation. These days there is expanding advancement of online data frameworks for social and hierarchical divisions Electronic data frameworks in light of web innovations which shares distinctive kinds of Internet convention and assumes an essential part to gather, putting away, gathering and imparting information from various sources and spread data initially. The speed and productivity of electronic data framework which incorporates both neighborhood and worldwide systems, databases and diverse sorts of program for data preparing makes social and hierarchical life less demanding for individuals. The online applications keep up activities of administration. Such applications incorporates quality administration forms, life cycle of authoritative objective, actualizing and sharing creation plan This electronic innovation affects social connection, social conduct and different association issues.
Rehabilitation Therapy for Semi-Paralytic People
Authors: Arikatla Jaya Lakshmi , Putta Navya Sudha , Akula Mallaiah , Rama Mynampati
Published: November 2019

Paralysis is the loss of muscle which functions as a part of the body. Paralysis can affect any part of the body at any movement of an individual’s lifecycle.. It happens when something turnout wrong with the way messages to pass between the brain and muscles. Paralysis can be generalized or localized. It can be either complete or partial type of paralysis. Completely paralyzed people can’t have control over their muscles in the affected areas. Paralyzed people can’t be in a position to move from one position to the other. So, it would be very difficult for them to go for the checkups and fulfill their necessities. This is the biggest problem which people are facing to go for the checkups and observe their health condition. To avoid this problem, in this project a mobile based game therapy is developed. This is a passive rehabilitation exercise for the disabled patients. This exercise tries to activate neuroplasticity. By using this mobile game patient can regain movement in his body especially in muscles. By using this game doctor can be able to check the day to day readings and can analyze the improvement of the muscle strength and prescribe the suggestions accordingly. The improvement in muscles starts very slowly but, trusts the game as long as the patient is playing this game the complete concentration will be towards the game so that the patient can restore daily the functionality of his nerves and muscles easily.
Automation Control of Metro Traction Using Plc and Scada
Authors: Roseline J. Femila , Leela G.V.Siva , Pravallika K.R.S.
Published: November 2019

The high level of error which may lead to scads of damage which may be human life or material damage, inefficiency in supporting changes such as development of new high-performance vehicles Acquisition, time consuming inefficient system of operation leads one to consider an automated railway system. An automated control system which is introduced in this paper with the help of PLC and SCADA monitoring will have a significant effect in the permitting of having an increased speed form of transportation, augmenting services which can increase the full load capacity of a given network, while flexibility in the network will help in developing a system which can be improvised to change traffic control based on the traffic variations. The system provides other prominent benefits over there room temperature counterpart in reduced size, weight (increased power density), efficiency, switching speed, reliability which will result in an overall weight, space, time saving and a save mode travel in the current society.
Symmetrizability of Integer Interval Cartan Matrices
Authors: Dineshkumar C. , Gayathri K.
Published: November 2019

In this paper, we extend Cartan matrix to Integer Interval Cartan matrix by using interval arithmetic operation. We compute symmetrizability condition to the Interval Cartan matrix. It also satisfies the condition for this extention of Integer Interval Cartan matrix; here we focus on the theorem along with the illustration.
A Mixed Objective Assignment Problem
Authors: Ramesh P. , Abdul Razak K.
Published: November 2019

A general assignment problem includes N tasks that intend assign to N workers to what place each laborer has the sufficiency to do all tasks. The objective is to confront the optimum assignment of a number of tasks (jobs) to an enlarge number of services (or persons) at a minimum cost. In this freebie the objectives are proposed as mixed objective which is triangular fuzzy number. Yager’s ranking approach has been used for grade the fuzzy numbers. The Hungarian method is used to solve the problem. The results of the numerical example prove that a fine conciliation solution can be reached effectively.
Digital Image Watermarking Using Optimization and Encryption
Authors: Hema Rajini N
Published: November 2019

In this paper, with the technique of chaotic encryption-based blind digital image watermarking, we introduce a new grey wolf optimization. Discrete cosine transform (DCT) is employed before embedding the watermark within the host image. The image at host is split into 8x8 which is a non-overlapping blocks before employing DCT application, and the watermark bit is included through modifying the differences between the neighboring blocks DCT coefficients. Then, grey wolf optimization algorithm (GWO) is employed. Arnold transform is used along with the chaotic encryption to provide additional watermark security. The presented model is applied to a collection of benchmark images and the results validated the performance in terms of PSNR. The presented method attains maximum PSNR value on entirely given test images.
Synthesis, Electrochemical impedance analysis of silver-doped zinc oxide nanocrystallites
Authors: Giruba M , Christina Rhoda J , Chellammal S , Ravichandran K
Published: November 2019

By using Co-Precipitation method, we have been prepared hexagonal structure of silver-doped Zinc Oxide (ZnO) nanocrystallites at room temperature. The structural characterization was carried out like Powder X-ray Diffraction (XRD). Scanning Electron Microscopy was used to study morphological analysis and EDX used to identify elements presented in prepared samples. Using the Scherrer formula, average size can be calculated. The XRD matched with JCPDS. The aim of the present work is to study the effect of electrochemical impedance frequency dependence properties of pure and silver-doped zinc oxide nanocrystallites were discussed in this paper.
Smart Controlled Electronic Devices Using Brain Functional Conductivity
Authors: Subash R. , Jebakumar R. , Vishnu V. , Shravan R.
Published: November 2019

Envision a future where everything can be controlled with simply our brain. With the development of humankind on the utilization of various electronic gadgets in everyday life, man needs to have simple dealing with to these electronic gadgets and most straightforward one is the conceivable mind wave command to electronic devices. As the technology getting advances mode of interacting with the electronic devices also getting advancement day by day. Beginning with a mechanical switch based controlling of electronic devices got IoT based wireless controlling facility. The currently proposed method is making the provision of controlling of devices just with a thought in the brain. We will be having an EEG sensor mounted on the head to capture the signal which in turn processed and used for triggering the relay to control the device.
A NARX Model to Predict Myocardial Ischemic Beats from ECG Using Features Extracted by ICA and WPD
Authors: Niranjana Murthy H. S.
Published: November 2019

This paper presents a methodology for predicting Myocardial Ischemic Beats from ECG signal using a Nonlinear Autoregressive Neural Network with Exogenous inputs (NARX) model. This technique utilizes the features extracted by integrating independent component analysis (ICA) and Wavelet packet decomposition (WPD) on ECG for detecting Myocardial Ischemic beats. At first, the denoised ECG beat segments are projected on the bases to create the independent component (IC) vectors. Further, these IC vectors are disintegrated by WPD. The feature set for distinguishing ischemic beats is extracted by calculating entropy, mean and standard deviation from wavelet coefficients. These features are input to NARX model for uncovering ischemic beats from normal beats. Several architectures of NARX models were tested for predicting myocardial ischemic beats. The efficacy of NARX architectures are assessed by comparing MSE and correlation coefficient. The NARX model with 2 hidden neurons and 2 delay lines provided the best results with a MSE of 0.0002 and correlation coefficient 0.99, which implies that the NARX neural network has huge potential in the prognosis of Myocardial Ischemic Beats.
Design and Synchronization of Chaotic System using Threshold Controller Coupling
Authors: Biswas Namrata , Raja Mohamed I.
Published: November 2019

A new autonomous chaotic system is designed from the Lorenz family of systems and studied its dynamics both theoretically and numerically. Then two such systems are synchronized using a threshold controller as the coupling element by which complete and asynchronization is achieved. The new system is investigated using MATLAB Simulink and Multisim. The results show that based on the control parameter value the system switches from complete to asynchronization.
Stain Removal Through Color Normalization of Haematoxylin and Eosin Images: A Review
Authors: Lakshmanan B. , Anand S. , Jenitha T.
Published: November 2019

Histopathology images are used for the diagnosis and examination of cancer cells. Preparing and scanning histopathology slides consist of numerous steps of which staining are an important process. But these staining procedures cause multitude problems as there may be variations in the slides due to multiple reasons. Color variations in histopathology images can occur due to inconsistent staining of biopsy tissue, color responses of different scanners or difference in raw materials and manufacturing techniques used by stain. These factors hamper the generalization of automatic image analysis method. Hence there is a need for standardizing the image before analysis by performing stain normalization which is achieved by removing the stains for visual enhancement. Color normalization techniques play a vital in the developing computerized decision support system. In this paper, a detailed study and performance evaluation of various color normalization techniques such as Histogram Specification, Macenko Method, Reinhard Method on histopathology images are presented. In these normalization procedures the mean color of the target image is transferred onto the source image. Quality performance of different stain normalization techniques is evaluated based on Entropy and Structure Similarity Index Measure (SSIM). In this work, we record the time complexity of the color normalization algorithms. The normalization techniques are tested on histopathological images from UCSB dataset and Mitosis Atypia 2014 dataset. This article reviews and summarizes the color normalization techniques on histopathological images for visual improvement.
Credit Card Transaction Based on Face Recognition Technology
Authors: Dhikhi T , Rana Ajay , Thakur Anurag , Kapoor Karan
Published: November 2019

This paper proposes a method for credit card transaction system which will make use of face recognition and face detection technology, using Haar Cascade and GLCM algorithm. The main problem faced by credit card users is attack to lot of privacy issues such as credit card. This generally happens when users give their credit card number to unknown people or when the card is lost. So, we are proposing a system that will reduce the risk of credit card frauds. The system we are proposing will match the image of user’s face with dataset of respective user. A database will be maintained for authentication purpose. If the image matches, that means user is genuine and he will be allowed to proceed otherwise, the user will be denied to do the transaction.
Automatic detection of flying bird species using computer vision techniques
Authors: Vishnuvardhan R. , Deenadayalan G. , Vijaya Gopala Rao M.V. , Jadhav Sheetal P , Balachandran Adithya
Published: November 2019

Bird population is an important factor that may affect ecology of the an area. The main aim is to create a solution for counting different species of birds present in an area and classify them into categories. There are around 1300 species of birds found in India and there can be chance that a new species which remained unidentified till now. We can calculate the number of bird species available in a locality and keep a track whether any species are in risk of being endangered. Calculating the bird population can help the ecologist to search the problem which may endanger them. Manual labor for counting and searching for new species is time consuming and error prone. In the present work, The method of solution is to create a computer vision system using machine learning techniques or deep learning method for a better accurate results. Automatic Bird detection system is primarily useful in providing optimal bird count in region with counting, the system also classifies the bird based upon its species and features.after detecting the bird, the segregates the data according to the bird’s features. This data which is stored in the database can be accessed by scientists, photographers, and also by surveying units as this data provides important information about the number of birds in the area, the type of birds, Their features, and also this data helps scientists in predicting the environmental changes in the particular area by analysing the type of birds visiting the area based upon seasonal changes.
Analysis on Web Frameworks
Authors: Curie Dasari Hermitha , Jaison Joyce , Yadav Jyoti , Fiona J Rex
Published: November 2019

while creating a website choosing the best framework for the required application is the most important step. Since there are different types of frameworks it is not an easy task. Besides, if the wrong framework is chosen it could negatively impact the website. With the evolution of the web many frameworks like PHP, Java servlets, struts, Stencil, Rebel, Ruby on rails, Flask and Falcon have been developed. Large amounts of personal information and data are being sent and recovered on a daily basis from web applications. Every application contains confidential information and therefore has its own integrity policies. There can be a huge negative impact on the financial status of the company involved, if these policies are violated. Although, implementing them is very difficult even for the programmer’s with good security framework. The environment of the web consists of a huge number of different technologies and components; therefore, web applications have an extraordinary surface of attack. Security defects stored in web browser may expose authentication details and sensitive information stored in the website. This may breach the integrity and confidentiality of the session and errors in the code may lead to the addition of destructive contents in the web pages. Complex elements such as databases, operating systems, firewalls, servers and other software’s functioning of a web application. But for it to run properly, persistent maintenance and configuration is required. Injection attacks normally takes control over the websites database by data injection into the application. In this paper we discuss about different Frameworks, its types, benefits, the security provided and its challenges. We have also compared five of the leading frameworks in aspects of complexity and security.
Synthesis of Activated Carbon of Lote Wood and Study its Physical Properties
Authors: Musa Kanaan Mohammad , Rushdi Salih A. , Hameed KassimKadhim
Published: November 2019

The paper focuses on studying activated carbon and its uses then producing activated carbon using lote wood that is available in Iraq through the process of carbonization. Also, the paper defines the best temperature to produce huge size of coal. Then use the process of carbon activation through Physical activation. The latter process can be done through steam heating or oxygen for 1000 C°. After that, several measurements have been done to measure the efficiency of activated carbon, and other physical checks related to carbon like humidity and percentage of ash.
Omni Channel Retailing: An Opportunity and Challenges in the Indian Market
Authors: Hole Yogesh , Pawar Ms.Snehal , Khedkar E. B.
Published: November 2019

The promising OC - Omni Channel interactive technology is presently perceived by several retailers as enabling the tool to compete in the marketplace more rigorously and effectively. This review paper is to discover, ascertain, and structure the research that distinctly clarifies the purpose and significance of omnichannel retailing. It provides a dynamic social strategy, an active mobile experience, with a lively converting website, to customers to offer a seamless shopping experience, by operating together, in coordination, with an advanced logistics and supply chain management perspectives; and reveals the omnichannel retailing intellectual foundation and research.

This study employs a multi-technique approach, methodology and conducts a content-analysis-literature review making use of numerous academic papers. Depending on the list of references, the citation is performed, while the analysis of co-citation depends on the most recent and regularly cited papers. This includes multidimensional cluster analysis, scaling, and factor analysis. However, there is a research gap, because; beneath these hypes and confusions lay a very crucial proposition. When the customer channels have inflated, the customer journey progressively diverts in different channels from where they started. Hence, the branding of the company is the most essential criteria so as to stitch every interaction together to generate a seamless experience. The study reveals that all customers anticipate the retail stores to be adequately integrated with retailer’s every digital capability, potential, competency and to succeed. They feel that, regardless of how, the retailers must serve all the customer needs, whenever and where ever they shop, without limiting considerations in the omnichannel retailing foundation and research. These findings can support and trigger future research evolving better understanding of OC retail business.
A Survey on Neonatal Incubator Monitoring System
Authors: Rajalakshmi A , Sunitha K.A. , Venkataraman Revathi
Published: November 2019

Recently many premature babies have lost their lives due to lack of proper monitoring of the incubator that leads to accidents. A neonatal incubator is an enclosed equipment where a pre-mature infant will be kept in a clean and controlled environment for observation and care. The biological parameters are monitored to ensure the safety of the babies and to prevent death rates. For monitoring the vital signs continuously for pre-mature infants in the hospital it requires sensors and electrodes which is said to be kept in contact to the patient and it can be displayed in a d monitor. Any abnormality in the parameter will be indicated by alarm system. In this survey, we concentrate on the available incubator monitoring systems, the biological parameters measured and analyse techniques used in real-time monitoring, transmission of the data.
Electricity Market Reform Support Through Enhanced Power Transaction Model: In Relation to Optimization in Applied Mathematics
Authors: Kafi Entsar M. , Majeed Azhar A.
Published: November 2019

Given that the electricity trading market has been specified, some of the growing demands include the establishment of long-term mechanisms, the improvement of electric power emergency mechanisms, and the strengthening of electric power demand side. Therefore, this study proposed a model for optimizing the planning of the monthly power generation. Specifically, the grey model algorithm was examined to discern some of the improvements that could be implemented. With the energy conservation development direction and the market considered, the research setting involved a regional power grid dispatch management system. A key parameter that was examined involved the monthly free energy conservation strategy and how the rate of short-term energy saving establishment could be improved. From the findings, it was evident that the proposed model for optimizing energy-saving power generation establishments poses beneficial effects in terms of power generation scheduling and improved resource allocation, hence meeting the electric power market reform needs.
Applying Isotropic Fractional-Rational Curves Toward Surface Modeling: New Insights from the Applied Mathematics Perspective
Authors: Shaibani Rafid M.AL – , Al-Mothafar Nuhad S.
Published: November 2019

Given curves or points, one of the problems that have been documented in the recent past entails building smooth surfaces. The problem is pronounced due to computer technology and industry developments. Initially, zero Gaussian curvature shells and minimal surfaces were used. These surfaces relied on isotropic analytic curves. However, consumer properties restrict these curves. Hence, there is a growing need to steer expansions in surface shaping. In response to this trend, this paper proposed a technique for surface construction based on the role of isotropic fractional-rational curves. In the framework, the building of surfaces involved the use of flat orthogonal and isothermal grids, a process governed by the Weierstrass technique. Indeed, the latter approach was adopted due to the associated trend of demanding minimal surfaces.
Applying a Mathematical Model to the Calculations of Layer Moduli: In Relation to the Falling Weight Deflectomer
Authors: Majeed Azhar Abbas
Published: November 2019

Back calculations of layer stiffness are preceded by initial analyses of the deflection bowl in conjunction with the measured or assumed thickness of the layers. This step is important in understanding the strains, stresses, and moduli in the individual layers. An accurate modelling of the stiffness of the subgrade is observed to be important because a failure to achieve accuracy implies that disproportionately large errors are likely to arise during the back-analysis. Notably, the latter is applicable in for the provision of the upper layer moduli (State Highway Administration, 2016). With the existence of packages that aid in bob-linear subgrade analysis, the use of a system such as the ELMOD package uses deflections for calculating “n” and C. the relationship holds:

E = C (σz/a’)n where n and C refer to constants

σz = vertical stress

σ’ = reference stress

E = modulus of elasticity
A Proposed Model for the Structural Evaluation of Flexible Pavements: In Relation to the Future of Artificial Neural Networks
Authors: Kabban Ali , Khalid Wasan
Published: November 2019

As input patterns are presented to ANN networks, output patterns are produced. ANN’s neurons constitute layers: the output layer, one or more hidden layers, and the input layer. Hence, information flows to the output layer from the input layer via the hidden layer, with the latter forming a platform for input-output layer association (Meier & Rix, 1994). One of the findings in the study by Nazzal and Tatari (2013), who used ANN for backcalculation of flexible pavement moduli, it was observed that ANN exhibits the capability of predicting layer moduli values of pavements with success; with FWD-enabled field deflection measurements on focus. Similarly, it was noted that ANN adoption yields a significant reduction in computation time while simplifying the backcalculation process.
The Role of Mathematical Models in Responding To Pavement Failures and Distresses in Texas
Authors: Majeed Azhar A. , Kafi Enstar M.
Published: November 2019

As acknowledged by Cabalar, Karabash and Mustafa (2014) and Consoli, de Moraes and Festugato (2011), expansive soils are among the leading causes of distresses in pavements. Based on the parameter of moisture levels, Dang, Fatahi and Khabbaz (2016) stated that expansive soils experience significant alterations in their volume. According to Dash and Hussain (2012), this variation is attributed to fluctuations in the amount of moisture in the soil, an outcome in response to seasonal variations. In situations, where a region experiences high moisture, Hasan, Dang and Khabbaz et al. (2016) established that there is a likelihood of swelling beneath pavements established over expansive clays in the region. On the other hand, Hatmoko and Suryadharma (2017) asserted that when the level of soil moisture falls, there is a likelihood of shrinking, a predictor for significant deformation. In a similar observation, Johnson and Gopinath (2016) noted that these cycles of shrinking and swelling exhibit a direct correlation with pavement cracking. Whether this trend holds for the case of Houston, Texas remains unknown. However, the findings from this study suggest that mathematical models are informative in such a way that they explain the relationship between expansive soils and pavement deformation as that which is predicted by seasonal variations that cause alterations in the amount of moisture in soil.
Nanoscale Volumes’ Admixture Transfer In Relation To Molecules with Casimir Force: A Simulation of Interactions Involving Physical Characteristics’ Statistical Distributions
Authors: Fandi Firas sh. , Yaseen Sahira M.
Published: November 2019

The main aim of this study was to investigate admixture molecular systems relative to their statistical properties. The admixtures under investigation were those placed in Nanoscale volumes such as parallelepiped and cube settings having wall impermeable surfaces. Free molecule interactions were simulated in admixtures relative to wall surface molecules. In turn, the interactions were modeled based on atomic structure girds. Also, SiO2 was used s a material and its use was informed by the ability to account for important quantum effects’ manifestations; Casimir force in this case. It is also notable that a random distribution function for surface heights was used to model the roughness of the target surface. Some of the parameters to which the results were applied for estimation included polyatomic molecules’ dihedral angle length deviations, valence, and chemical bond lengths. From the results, it was evident that the proposed model can determine a system’s stable configuration properties, upon which practical problems could be solved relative to physical limitation conditions of Nanoscale devices – especially in highly dispersed systems’ admixture filtration. With the impact of Casimir force on admixture volumes examined and multi-component admixture membranes or plates’ radial distribution function computed, results demonstrated distributions of lengths relative to their associated equilibrium values.
Fallopian tube analysis of the peristaltic-ciliary flow of third grade fluid in a finite narrow tube
Authors: Ahmadmawlood  , Malathsagbanabied
Published: November 2019

With the effect of Endometriosis within the fallopian tubal fluid the current theoretical prospective examination proposed appraoch of the peristaltic-ciliary transport of a growing embryo. This deases make the peristalsis-ciliary flow become to peristalsis flow. By the help of the perturbation approach Non-linear partial differential equations can be solved. By using the stream function and wavelength the expression for pressure rise can be optained, low Reynolds number approximation and under the assumption of long wave length the pressure difference over can derived, over tube length appropriate residue time and for embedded parameters the flow varoables like radial and axial velocities can analyzed. This study is done through by the “MATHEMATICA”.
Earth Movement Optimization Model in Urbanistic Projects
Authors: Cleves Gonzalo Jiménez , Jurado Jairo Díaz , Barrero Julián Garzón
Published: November 2019

Urban areascomprising natural terrainare prepared empirically for the urbanistic developmentof cities, causingalterationsto the natural relief and affecting notablythe physical surroundingsas resultof deficient planning in the preparation of the terrainfor urbanism works. Thisstudyseeks to formulate a rational solutionto earth movementsthroughtwomodels, one having to do with simulation and the other being mathematical in contrast with thecurrent empirical methodappliedin numerous works of engineering, where el budgethas an important specific weight. In response to this, modelingofsurfaces emerges, which describesthe process ofphysical and artificial representationof the skin of the earththroughageometric model. Thistype ofmodel permits designing the modificationof a terrain’s topographyto prepare it optimally for a given purpose, considering twofundamental variables: area and volume. As resultof this research, an optimization model was obtained for the designofartificial earth movementsapplicableto the type oftopography prevalent in the citiesin the Colombian Eje Cafetero (coffee growing region). The studyfound that the variables ofarea, volume and cut and fill heights createa model, which determinesthe optimal point and around such, an uncertainty zonecalled design zone, achieving the greatest useful areain the constructionwith the least volumeof earth to move.
Development of a control station for oil pumping machines based on permanent magnet synchronous motors
Authors: Tsvetkov A.N. , Safin A.R. , Ivshin I.V. , Petrov T.I. , Misbakhov R.Sh. , Kornilov V.Yu.
Published: November 2019

The article describes a modern control station for rod well-pumping units designed to increase oil production efficiency, developed by the KSEU research team, and presents the station’s distinctive characteristics that can improve both the economic and technical components of the rocking machines work.
Fatty Acid Composition And Biological Value of Milk of Holstein Cows at Different Lactation Seasons
Authors: Khastayeva A.Zh. , Smagulov A.K. , Zhamurova V.S. , Kozhabergenov A.T. , Kozhakhmetov M.K. , Muratbekova K.M.
Published: November 2019

The research was to obtain information and assess the impact of region and seasonal changes on the physical-chemical indicators of milk, as well as to predict the impact of these changes on the composition and quality of products derived from such milk. To assess the differences in milk taken from different regions, as well as to identify the impact of the season on its quality, physical-chemical indicators, including the content of fatty acids in the milk of Holstein cows of the Republic of Kazakhstan were studied. To assess the health status of lactating animals, the content of somatic cells in milk was additionally assessed. The results of studies found that the season and the region significantly influenced the physical-chemical indicators of milk and the content of fatty acids in lipids.
Vacuum-arc hardening of metals surface
Authors: Kuznetsov V G
Published: November 2019

The possibility of using cathode spots of vacuum-arc discharge for surface hardening of metals is estimated. Based on the analysis of literature data, theoretical and experimental studies, the main parameters of cathode spots affecting to the hardening process are determined. Experimental data on changes in the microhardness of the surface layers of steel exposed to cathode spots of the vacuum arc are presented.
Magnetron sputtering system with reactive plasma assisting for deposition of TixZr1
-xO2 coating resistant to laser radiation
Authors: Volpian O D , Krikunov A I , Kuzmichev A I , Zharikova E S , Churikov D V
Published: November 2019

The magnetron sputtering system with reactive oxygen plasma assisting for deposition of Ti
x
Zr1-

x
O2 nanocomposite coatings by sputtering a single Ti-Zr target and the results of study of the stability of these coatings to the action of high-power laser radiation are presented. The periodically repeated sequential processes of applying sputtered material onto a substrate and oxidation of the deposited material have been realized for obtaining the optical coating with resistance to the 960 W/cm2 laser radiation.
The influence of process parameters on the depth of substrate melting in the technology of laser metal deposition
Authors: Zavalov Y N , Dubrov A V , Makarova E S , Dubrov V D
Published: November 2019

The dependences of the depth and width of the melt zone of the substrate on the scanning velocity, the distance from the nozzle to the substrate and the shift of the laser beam focus at different mass flow of powder in process of the track formation are obtained in the laser deposition technology using the 400 W laser with wavelength of 1.07 µm. It is shown that the width of the melt zone of the stainless substrate weakly depends on the focus shift and scanning velocity at the mass flow rate of less than 12 g/min. It narrows with increasing velocity at mass flow rate above 12 g/min. The depth of the melt zone increases with increasing intensity of the laser beam and decreases with growing mass flow. The depth is weakly dependent on the scanning velocity at flow rate of less than 15 g/min and decreases at a flow rate of more than 15 g/min with growing the scanning velocity under the condition of constancy of the radiation intensity. The obtained results allow to establish optimal values of technological parameters.
Current state of the technology of obtaining and research of properties of the corundum-graphene composite
Authors: Zholnin A G , Hafizov R S
Published: November 2019

The aim of the work is to review publications on a narrow circle of composites, namely corundum graphene. Quite a lot of research has been devoted to this composite to conduct generalizations and identify patterns.
Possibilities of municipal waste water treatment by using phototrophic microorganisms under the Moscow climate conditions
Authors: Gorin K , Kolomoitsev D , Melnikova A , Sergeeva Y
Published: November 2019

Application of phototrophic microorganisms for municipal waste water treatment today became promising technology that combines solving of environmental issues and production of valuable biomass. This technology related to biomass cultivation in open ponds by using waste heat, that taken place in the waste water. Also huge volumes of municipal waste water makes economically impossible to apply artificial illumination. Thus application of phototrophic microorganisms for municipal waste water treatment is strongly related to climate conditions. In this paper data concerning phototrophic microorganisms cultivation in Moscow climate conditions are presented. Euglena gracilis CCAP 1224/5Z strain was used, cultivation was provided at illumination from 500 – 1200 lux depending on natural illumination. All cultivations were provided on synthetic waste water. It was shown that speed of growth was approximately the same in case synthetic waste water and controls. Content of organic impurities was decreased no less 70% at all rounds of cultivation. Final biomass concentration in case of cultivation on waste water exceeded concentration in the control flasks. Thereby it was demonstrated that it is possible in Moscow climate conditions during spring – autumn period to apply phototrophic microorganism E. gracilis CCAP 1224/5Z strain for waste water treatment.
Membraneless microbial biofuel cell for municipal waste water treatment
Authors: Vishnevskaya M , Gazizova D , Victorenko A , Konova I
Published: November 2019

Microbial biofuel cell is the promising technology that gives possibilities to generate electricity by degradation of organic contaminations. Thus, this technology became very perspective for municipal waste water treatment to minimize energy consumption of waste water treatment plants. The main limitations of microbial biofuel cell application are related with high cost of membranes and electrodes materials. Absence of membrane and application of cheap materials with low conductivity and low surface area usually leads to decreasing of power output. In this paper we present membraneless microbial fuel cell (MFC) with cheap conductive electrodes that can be applied in future for waste water treatment. Gluconobacter Oxydans VKM V-1280 strain from All-Russian Collection of Microorganisms was used as biocatalyzer for anode. Graphite was applied as electrode material. Immobilization was provided by using mixture of poly (3,4-ethylenedioxythiophene) polystyrene sulfonate (PEDOT:PSS) and poly (ethyleneglycol) diglycidyl ether (PEGDE). Experiments were provided by using synthetic analog of municipal waste water. No additional chemical mediator was applied. Power output was 1.43 mcW/sm2. Electrodes were stable during biofuel cell (BFC) operation. Thus, it was demonstrated that it is possible to apply membraneless MFC for municipal waste water treatment.