bluuebunny/crossref_metadata_2025 huggingface dataset:
Distributed Community Detection based on Apache Spark using Multi Label Propagation for Digital Social Networks
Authors: Keerthi Gorripati Satya , Kumari Valli
Published: November 2018

Organization, Government and Individual (OGI) have popularized the use of Digital Social Networks (DSN) that reduces the processing time of social-aware tasks. To accomplish a community-based communication, each social-aware task should identify its community group. The identified group uses a task to avail all the DSN benefits to their customers / citizens. As a result, the community-based detection algorithm has played a significant role in literature. However, the existing algorithms have had several challenging issues, such as performance and scalability. Thus, a distributed community detection algorithm is presented using Apache Sparkâ€™s Resilient Distributed Data Set (RDD) framework based on the Scala programming language. The Apache Spark framework provides an ideal solution that offers ease of coding, performance, interactive mode and disk Input-Output bottlenecks in Hadoop /Map Reduce. Besides, it presents a platform of distributed community detection that reduces the computational computation by applying transformations, aggregations and joins. The experimental results show that the proposed framework achieves high accuracy for both real-world and synthetic networks.Â Â
Comparative Microstructural Study on Mechanical Properties of Concrete Enhanced with Graphite and Graphene Compound
Authors: Sudheer P. , S. Chandramouli Dr
Published: November 2018

The present study is based on nano technology and came up with the idea of introducing nanoparticles in the raw materials used for construction. Nano materials are available in three principal shapes 0, 1 and 2 Dimensional nanoparticles. 0D and 1D nanofibers are such as carbon nanotubes and nanosilica compounds. This study has investigated the physical and chemical properties of graphite and graphene compound and its applicability in construction industry.Â  Graphene has created interest as it is believed to improve the strength of concrete allowing the possibility of controlling properties of concrete. In this work graphene is used as a reinforcing additive in cement-based mortar and concrete. Own Graphene compound is prepared using conventional graphite and concentrated hydrogen peroxide in the laboratory due to the unavailability of graphene. As a part of microstructural investigation, SEM and EDS analysis on graphite and graphene compounds before and after implementation are carried out in the laboratory. Then the two compounds are replaced as a part of small percentage in cement mortar cubes casted for various proportions. The mechanical properties of cement-based composites are studied after incorporating of graphite and graphene compounds at low dosages in concrete and then the results are compared.Â
Speaker Recognition System for Home Security using Raspberry Pi and Python
Authors: Bageshree Pathak Dr , Kulkarni Shriyanti
Published: November 2018

The transfer of manual controls to machine controls is automation. Automation is the need of the hour. Home automation is automation of home systems to create smart homes. It includes security systems, appliance control and environment control. The increasing need for safety and security has brought biometric security systems to the forefront. Speech being unique and individualistic can be used for biometric identification. The proposed system is a prototype which can be fitted for speaker recognition for home security. The system will identify the registered speakers and will allow access to the recognized speaker. The system is implemented on Raspberry pi platform using Python language.Â Â
Hierarchical Porous Batio3 Nano-Hexagons as A Visible Light Photocatalyst
Authors: Bantawal Harsha , Krishna Bhat D
Published: November 2018

Hierarchical porous BaTiO3 nano-hexagons was synthesized via a simple hydrothermal route by using TiO2 and Ba(OH)2.8H2O as starting materials under alkaline environment and its photocatalytic activity was evaluated under visible light by taking methylene blue (MB) as a model pollutant. The prepared BaTiO3 was characterized by powder X-ray diffraction (XRD), X-ray photoelectron spectroscopy (XPS), field emission scanning electron microscopy (FESEM), energy dispersive X-rays analysis (EDX), high resolution transmission electron microscopy (HRTEM), Brunauer-Emmett-Teller (BET) analysis and diffused reflectance spectroscopy (DRS) techniques. It is noteworthy that the BaTiO3 nano-hexagons exhibited significant photocatalytic activity towards the degradation of MB under visible light irradiation. This significant photocatalytic activity of BaTiO3 under visible light is mainly attributed to the special morphology and formation of Ti3+ defects.Â Â
A Review on Shunt Active Power Filter Control Strategies
Authors: Singh Harnek , Kour Maneet , Vinod Thanki Dip , Kumar Prakash
Published: November 2018

Shunt active power filter (SAPF) has now become a well-known sophisticated technology to overcome current harmonics and reactive power compensation issues. In this paper a technical review of various control strategies for operation of SAPF has been presented. Control strategies such as reference current generation by time domain, frequency domain and soft computing approaches; voltage control for dc link voltage regulation and current control for generating switching patterns for voltage source inverter has been discussed. This paper aims to provide a broad understanding on SAPFs for various research and engineering applications.Â Â
Comparison and Analysis of Magnetizing Inrush and Fault Condition for Power Transformer
Authors: Banerjee Mudita , Anita Khosla Dr.
Published: November 2018

This paper presents the second harmonics present in the primary current of a power transformer at different conditions using Fast Fourier Transform and Total Harmonic Distortion techniques to analyze the inrush condition and to distinguish it with fault condition of a power transformer. Result shows that the 2nd harmonic content is pre-dominant in inrush condition of primary current of the power transformer. It is observed that there are significant differences amongst the parameters found during inrush condition, normal condition and internal fault condition which are useful in the identification of magnetizing inrush current of power transformer. The simulation is done in MATLAB/SIMULINK.Â
Investigation of Physico-Chemical Properties of Simaruoba Methyl Ester and Diesel Blends
Authors: R. Hosmani Basavaraj , V. Katti Vadiraj
Published: November 2018

This paper presents the experimental study of physico-chemical properties of Simarouba methyl ester and diesel blends at the different temperatures and with varying volume percentage of Simarouba methyl ester in the blend. Blends are prepared adding different volume fraction of Simarouba methyl ester to neat diesel. The percentage of Simarouba methyl ester added to diesel is 10% to 90%, the prepared blends are stirred well for mixing of methyl ester and diesel. The prepared blends are kept in closed container for 24 hours for observation of separation of blends. It is observed that there is no separation of Simarouba methyl ester and diesel. Experiments are carried out to find density, kinematic viscosity, flash point and heating value of blends. These properties are investigated using standard equipments with standard procedure. Viscosity is determined by using standard Red-Wood viscometer with standard procedure of methyl ester and diesel blends at different temperatures. It is observed that as volume fraction of Simarouba methyl ester increases in the blend density, kinematic viscosity, flash point increases and heating value decreases. The percentage decrease in kinematic viscosity is more at lower temperature compared to higher temperature. Correlations for estimation of viscosity and density of blends at different temperatures are proposed.Â Â
A Semi-supervised Approach for Opinion Mining using Online Product Review
Authors: G. Bhongade Bhagyashree , V.Z Ashwini
Published: November 2018

The growth of the internet as a secure online shopping channel has developed since 1994. With the Increasing number of e-commerce portal, we are now heavily inclined to online shopping. One of the benefits of online shopping is the ability to read reviews about the product purchased. This paper presents a semi-supervised approach for opinion mining using online product reviews obtained fromÂ Â  Amazon website. A semi-supervised model regards identifying opinion relation as an alignment process and gives more precision in comparison to unsupervised model. Opinion mining of online reviews is needed for first-hand assessments of product information and direct supervision of their purchase actions. Manufacturers can obtain immediate feedback and opportunities to improve the quality of their products in a timely fashion.Â Â
Open Architecture Control for CNC System â€“ An Approach
Authors: M. Mankar Amit , L. Shrivastava R. , P. Giri Jayant
Published: November 2018

The Open Architecture concept is gaining more attention because of growing demand from end users. Numerical Control systems are limited in terms of portability because they are dependent on vendor-specific environment, to overcome this limitation Open Architecture Control was introduced. Open Architecture improves portability, interoperability, scalability and ability to reconfigure of an existing CNC machine. Open control system increases the flexibility of CNC machine by allowing vendor-neutral environment. Open Architecture Controller allows the end user to modify the existing system by integrating components from different manufacturers which reduce cost as well as increase extendibility of the system. In this review paper, different initiatives and developments on Open Architecture Controller are presented. This paper also covers the approaches made by researchers in the field of simulation of table movement in CNC machine.Â Â
Reduction of Ripples in A Three Phase Dc-Dc Converter Using Pi Controller
Authors: N Padmini. , Anupama Prakash Dr.
Published: November 2018

The increasing population which in leads to the increase in use of automobiles which constitutes to seventy five percent of carbon monoxide emission. The use of electrical vehicles (EV) has become a necessity to protect the environment from further pollution. The slow charging of the EV is a main hindrance for the success of EV. Fast charging can be achieved by providing charging locations that can be built which can charge the EV in short time span. This paper proposes a bidirectional DC-DC converter with six inverter legs in parallel which is similar to 3Î¦ dual active bridge (DAB) converter. This proposed converter has additional inverter legs which increases the converter current capacity resulting in fast charging. A feedback controller is implemented to reduce the ripple content.Â
Modified Turbo and SDROM Method for Speech Processing for Cochlear Implants
Authors: S.Hallikar Rohini , Uttarakumari M , K Padmaraju , D Yashas
Published: November 2018

A performance comparison of Signal Dependent Rank Order Mean (SDROM) method of speech signal enhancement with a speech enhancement method which makes use of a Turbo combination and SDROM filter referred to as modified Turbo and SDROM technique is made in this paper. Normally, speech signals are used as inputs to a cochlear implant signal processing unit.Sounds are corrupted by different noises such as AWGN, Impulsive noise and babble. The results are evaluated in terms of enhancements evaluations done by basically three parameters namely correlation coefficient, log spectral distortion (LSD) and segmental signal to noise ratio(SSNR). These parameters are calculated between the processed and the clean signals.. Results prove the superior performance of the new method especially for AWGN corrupted speech.Â Â Â
Design of a Circular Polarized Printed Rectenna for Satellite Solar Power Station Array Construction
Authors: Kumar Deepak , Chaudhary Kalpana
Published: November 2018

A circularly polarized single feed microstrip patch antenna with voltage doubler rectification is designed at 2.45 GHz for satellite solar wireless power transfer application. A bandpass filter is also designed and combined with an antenna that will efficiently eliminate signal harmonics up to third order. An HSMS-8202 microwave zero-bias Schottky barrier diodes accessible in SOT 23 package as the series pair is utilized in the proposed rectenna design. The rectenna has a high conversion efficiency of 70%. The printed rectenna can be interconnected to construct the rectenna arrays.
Determination of Mechanical Properties of Slurry Infiltrated Steel Fiber Concrete Using Fly Ash and Metakaolin
Authors: A.P Shelorkar , P.D Jadhao
Published: November 2018

This paper reports on a wide-ranging study on the properties of slurry infiltrated fiber concrete containing fly ash, Metakaolin, and hook ended steel fibers. Properties studied include workability of fresh slurry infiltrated fiber concrete, and compressive strength, flexural tensile strength, splitting tensile strength, dynamic elasticity modulus, impact energy of hardened slurry infiltrated fiber concrete. Fly ash and Metakaolin content used was 0%, 2.5%, 5.0%, 7.5% and 10% in mass basis, and hook ended steel fibers volume fraction was 0%, 2.0%, 3.0% and 4.0% in volume basis. The laboratory results showed that steel fiber addition, either into control concrete or fly ash, Metakaolin blend slurry infiltrated fiber concrete; improve the tensile strength properties, flexural strength, impact energy and modulus of elasticity. In this experimental study, compressive strength improvement ratio is 33.60%, and Structural efficiency is 9.50 % higher in slurry infiltrated fiber-concrete with Metakaolin as compared with fly ash based slurry infiltrated fiber concrete at the 4% replacement ratio of hook ended steel fibers by volume.
Design and Implementation of Pd based Controller for Accurate Tracking/Heading Angle
Authors: Kumar D Anil , Hariprasad S A Dr.
Published: November 2018

The undesirable effects of the sea on the marine vessel became more noticeable when significant changes were introduced to the design and development of the ship. In order to accurately determine the heading angle of the ship various controllers like PD, pi,pid, predictive and adaptive controllers can be used. Predictive controllers provide accurate heading angles but the computation time becomes a huge challenge. PI controller promises stability but the steady state response time is more. In this work, we have made an attempt to evaluate PD, pi, and PID controller operation for a ship model and it has been inferred that PD is most suitable among the variants for producing the heading angle.
Bidirectional dc to dc Converters: An Overview of Various Topologies, Switching Schemes and Control Techniques
Authors: Ravi Deepak , Mallikarjuna Reddy Bandi , S.L Shimi , Samuel Paulson
Published: November 2018

Bidirectional dc to dc converter is used as a key device for interfacing the storage devices between source and load in renewable energy system for continuous flow of power because the output of the renewable energy system fluctuates due to change in weather conditions. In electric vehicles also, bidirectional converter is used between energy source and motor for power supply from battery to motor. Thus, bidirectional dc to dc converters are getting more and more attention in academic research and in industrial applications. Bidirectional dc to dc converters work in both buck and boost mode and can manage the flow of power in both the direction between two dc sources and load by using specific switching scheme and phase shifted control strategy and hence generated excess energy can be stored in batteries/super capacitors. Therefore, the basic knowledge and classification of bidirectional dc to dc converters on the basis of galvanic isolation, the comparison between their voltage conversion ratio and output current ripple along with various topologies researched in recent years are presented in this paper. Finally, zero current and zero voltage soft switching schemes and phase shifted controlling techniques are also highlighted.
Election Prediction Using Big Data Analytics-A Survey
Authors: Manan koli Abdul , Ahmed Muqeem , . .
Published: November 2018

Social media has received much attention due to it's real-time and interactive nature for political discourse, especially around election times. Recently studies have explored the power of social media platforms such as Twitter or Facebook, on recording current social trends and predicting the voting outcomes of an area. These social media generate a large amount of raw data that can be used in decision making for election predictions. This tremendously generated data is referred to as “Big data”. After scrutinized a lot of research work related to election prediction, a survey paper is presented in which every work related to election prediction using social media is incorporated. This paper is an attempt to review various tools, models, and algorithms used for the observation of campaign, discussion, prediction, and analysis of the election, and also suggest further tools and techniques for improvement.
A Study on Use of Plastic Coated Aggregates (PCA) in Bituminous Concrete Mixes of Flexible Pavement
Authors: Mishra Brajesh , K. Gupta M.
Published: November 2018

The continuous increase in road traffic and heavy loading in combination with insufficient maintenance due to paucity of funds has resulted in deterioration of road network in India. To improve this proper maintenance, effective and improved roadway design, use of better quality materials and use of effective and modern construction techniques should be put into practice. During last three decades in many countries around the world it has been tested that modification of the bituminous binder with plastic/polymer additives enhances the properties and life of bituminous concrete pavements. The present investigation was carried out to propose the use of plastic coated aggregate (PCA) in bituminous mix of flexible pavements in order to improve their performance and also to give a way for safe disposal of plastic wastes in order to counter environmental pollution as well. There are mainly two processes available for incorporation of waste plastic in bituminous concrete mixes namely wet and dry process.  In this study the dry process was used for bituminous concrete mixes as it being simple and economical. Physical properties of conventional and plastic coated aggregates were compared. The Marshall method of mix design was adopted using VG-10 grade bitumen for conventional aggregates and plastic coated aggregates (PCA). Marshall Specimens were prepared at bitumen content ranging from 4% to 6% with a increment of 0.5% by weight of aggregates and with waste plastic content of 5%, 7%, 9%, 11%, 13% and 15% by weight of optimum bitumen content. Marshal stability, Flow value,  Air voids (Vv), Voids in mineral aggregates (VMA), and Voids filled with bitumen(VFB) were determined and compared with conventional aggregates (without plastic) bituminous concrete mixes. It was found that there was a reduction in consumption of bitumen in bituminous concrete mix by use of plastic coated aggregates also a considerable improvement in the properties of aggregates and bituminous concrete mix leading to provide longer life and improved pavement performance.
Complaint Classification using Word2Vec Model
Authors: Rathore Mohit , Gupta Dikshant , Bhandari Dinabandhu
Published: November 2018

Attempt has been made to develop a versatile, universal complaint grievance segregator by classifying orally acknowledged grievancesinto one of the predefined categories. The oral complaints are first converted to text and then each word is represented by a vector usingword2vec. Each grievance is represented by a single vector using Gated Recurrent Unit (GRU) that implements the hidden state of Recurrent Neural Network (RNN) model. The popular Multi-Layer Perceptron (MLP) has been used as the classifier to identify the categories.
Performance and Emission Characteristics of a Four Stroke Spark Ignition Engine with Recirculation of Hot and Cold Exhaust Gases
Authors: Ganguly Aritra , Nath Murmu Baidya , Chakrabarti Somnath
Published: November 2018

An experiment has been conducted on a four-stroke, four-cylinder spark ignition engine with and without recirculation of exhaust gas for different loads at a constant speed. Two cases were considered, the first in which 10% and later 20% of the exhaust gas was directly supplied to the intake manifold at a temperature of 820°C, while in the second case the same proportions of exhaust gas were cooled in a heat-exchanger to a temperature of 210°C before supply. Engine performance parameters like brake specific fuel consumption, brake thermal efficiency were evaluated under those conditions and compared with the same engine operating without recirculation. The corresponding emission characteristics of the engine were also measured using an exhaust gas analyzer which measured the amount of NOx, CO, CO2 and un-burnt HC. The performance and emissions characteristics of the engine obtained with hot and cold EGR were compared with reference to the same engine operating without EGR. The study revealed that the performance of the engine was better in terms of brake thermal efficiency and brake specific fuel consumption with cold EGR compared to hot EGR. However, the emissions of CO and HC were higher with cold EGR compared to that of hot EGR.
Natural Decomposition Approximation Solution for First Order Nonlinear Differential Equations
Authors: Patra A. , T. Shone T. , B. Mishra B.
Published: November 2018

In this research paper, we propose the Natural decomposition method (NDM) to solve nonlinear first order differential equations. We compare the results obtained by NDM with the exact solutions. This method is a combination of the natural transform method and adomian decomposition method. By showing the less error one can be concluded that the NDM is easy to use and efficient.
Analysis of Energy Storage Device in Hydro-Thermal Power Systems Using Fuzzy Logic Controller
Authors: Shanmugasundaram V. , . .
Published: November 2018

This work presents the Automatic generation control in an interconnected hydro-thermal power system to stabilize the frequency oscillations due to load changes. Advantage of facts devices are utilized here to improve the stability of the system. Thyristor controlled phase shifter (TCPS) is added in the tie line whose input is the area control error. The output of the phase shifter is the change in phase angle based on the error. The TCPS-RFB (Redox flow battery) and TCPS - SMES (Superconducting magnetic energy storage) combinations are compared against each other in terms of peak overshoot and settling time. The results proves that SMES is most effective than RFB. Then the LFC of hydrothermal plant with TCPS in tie line and SMES in one area is analyzed with different controllers like P, PI, PID and Fuzzy logic controller to find the best controller for these specific applications. The criterion for comparison remains to be the same. And finally fuzzy logic controller is found to best among the ones under consideration.
Human Emotion Surveillance Using Computer Vision
Authors: R.Radha Dr. , M Atchatha. , B Kaushik. , Felix A Agassi , Staflin Betzy G.
Published: November 2018

India, a land of marvels, is outstanding in many aspects, its culture, ecosystem, etc. Sadly, it also ranks among the top countries in the world to have an annual suicide rate. This project aims at the foundation of human emotion surveillance.  This system assists in the facial recognition, feature extraction and the threshold detection of stress for emotions expressed through face using the viola-jones algorithms and weak classifiers.  This focuses basically on segregation of positive and negative emotions, detecting stress based on a usual threshold value and possibly providing an alternate means to let loose the extra stress built up if possible.
Local Directional Threshold based Binary Patterns for Facial Expression Recognition and Analysis
Authors: Uma Maheswari V , Prasad Vara , Viswanadha Raju S
Published: November 2018

In this paper, proposing a novel method to retrieve the edge and texture information from facial images named local directional standard matrix (LDSM) and local dynamic threshold based binary pattern (LDTBP). LBP and LTP operators are used for texture extraction of an image by finding difference between center and surrounding pixels but they failed to detect edges and large intensity variations. Thus addressed such problems in proposed method firstly, calculated the LDSM matrix with standard deviation of horizontal and vertical pixels of each pixel. Therefore, values are encoded based on the dynamic threshold which is calculated from median of LDSM values of each pixel called LDTBP. In experiments used LFW facial expression dataset so used SVM classifier to classify the images and retrieved relevant images then measured in terms of average precision and average recall.
The Future of Health care: Machine Learning
Authors: A.Jabbar M. , Samreen Shirina , Aluvalu Rajanikanth
Published: November 2018

Machine learning (ML) is a rising field. Machine learning is to find patterns automatically and reason about data.ML enables personalized care called precision medicine. Machine learning methods have made advances in healthcare domain. This paper discuss about application of machine learning in health care. Machine learning will change health care within a few years. In future ML and AI will transform health care, but quality ML and AI decision support systems (DSS) Should Require to address the problems faced by patients and physicians in effective diagnosis.
A lightweight buyer-seller watermarking protocol based on time-stamping and composite signal representation
Authors: Kumar Ashwani , Jain Paras , Ali Jabir , Kumar Shrawan , Samuel Babu John
Published: November 2018

The protocol allows a content provider to detect duplicate copy of a digital content and restrict the content provider who blames the innocent customer. This paper, proposed a lightweight protocol, which uses composite signal representation and time-stamping for watermark embedding and extraction. We have used timestamp, which tells at what time the digital content was created, signed or verified to digital watermarking algorithms and uses the composite signal representation for minimizing the overhead and bandwidth due to the use of composite signals. The suggested protocol uses composite signal representations and timestamp based methods with digital watermarking scheme for content authentication. Our watermark embedding and detection   algorithm achieves a balance between robustness and image visual quality.     Simulation results demonstrate that the algorithm used by proposed protocol has an increase robustness and good quality of watermark images as well and withstand against various image-processing attacks.
Decentralized Secure Online Digital Data Registrations
Authors: Dugyala Raman , Hanuman Reddy N , G Raghuram , Lakshminarayana J
Published: November 2018

A potential challenge in the present secure transaction lies in illegitimate access to premium digital data available in various formats on various service-sectors for Government and Non-Government process models. This vulnerable scenario leads to identity attacks, man in the middle (MITM) attacks and denial of service (DoS) attacks. Our proposed model uses blockchain technology with machine learning classifiers to identify and detect possible attacks within a peer-to-peer network. Blockchain uses digital signatures, proof-of-work algorithm and consensus algorithms to protect system from possible integrity and denial of service attacks and machine learning classifiers deployed at every node offers confrontation to any intruder’s attack.
Energy efficient Key Distribution for Wireless Sensor Networks
Authors: Ramu Kuchipudi Ramu , Ahmed Abdul Moiz Qyser Dr. , V V S S S Balaram Dr.
Published: November 2018

Key distribution in Wireless sensor networks is crucial whenever they deployed in critical applications. Cryptography is used to protect sensitive information from disclosure. Key management is important component in cryptography. Cryptography is not useful if keys are disclosed to attackers. Designing an efficient key management for sensor network is a difficult task because of scarcity of computing and memory resources. An efficient key distribution approach is proposed by using mobile agent paradigm rather than client server model. The proposed approach will use good features of both symmetric and asymmetric cryptography. Mobile Agents are used to generate public and private key pairs, update keys and revocation of keys. The proposed scheme in the first level will use mobile agents for public key dissemination and in second level sensor nodes can involve in constructing symmetric keys for secure communication through mutual authentication and encryption with those keys. The proposed method is implemented using NS2 Simulator and results are compared with existing similar methods in terms of evaluation parameters like throughput and resiliency. The proposed method is improved when it is compared with similar existing methods.
Comparative Study on Modern Approaches of Recommender System
Authors: Bhanu Prasad A. , N. Sambasiva Rao Dr. , Subba Rao K. , Lakshmi B
Published: November 2018

Recommender system is a kind of tool for filtering information and items of user interest. There are large number of different approaches for filtering data and information. In this paper a comparative study is made on different modern approaches in particular. All the modern approaches along with traditional recommender systems are listed and explained with their merits and demerits. Some common challenges are also addressed in this context.
Tracking and Size Estimation of Objects in Motion based on Median of Localized Thresholding
Authors: Gujjunoori Sagar , Oruganti Madhu , Aparna N. , Srija M. , Dangare Chaitrali
Published: November 2018

Motion detection and tracking play an important role in Computer vision and Robotics. Optical flow based methods to estimate the motion are widely explored during the last decade. The motion information retrieved from these techniques has enormous applications. Video analysis based on the size, speed, and directions of objects have wider applications in computer vision, robotics and watermarking. Segmentation of moving objects based on the optical flow is very challenging. In this paper, we present a model to estimate the size of a moving object based on the optical flow technique and present localized thresholding technique. Over segmentation is reduced by the proposed local thresholding technique and use of bilateral filtering. We compare our results with Sagar et al. scheme.
Evaluation of Rheological Behavior of Bitumen Modified with Nano Copper Oxide
Authors: H. Shafabakhsh G. , R.Sajadib S. , . .
Published: November 2018

Nowadays, one of the most challenging problems facing civil and transportation engineers, which consumes plenty of budgets (causes large amount of cost) for maintenance of asphalt roads, is asphalt destructions. Lots of efforts are done in order to increase the resistance and life span of asphalt, including development of bitumen properties. Bitumen is used broadly in road construction due to its appropriate properties; however, it has some major deficiencies which may lead to destructions of asphalt pavements. Therefore different bitumen modifications are implemented to achieve desired properties for different objectives, including (Such as) using rubber powder, waste materials, various polymers, etc. Recently, researchers are turning to nanotechnology to improve bitumen properties. Conducted studies on this topic (conducted research in this field) show that using modified bitumen by nanomaterial, increases the capacity of the pavement’s load bearing and decreases probable cracks due to fatigue during the operation life of the pavement. In this study, Nano Copper Oxide is used to develop rheological properties of bitumen. Nanoparticles have been added to bitumen with amount of 2.5, 3 and 5 percent and then Dynamic Shear Rheometer (DSR) and Bending Beam Rheometer (BBR) experiments have been conducted to investigate the effects of using nanoparticles in pure bitumen. Results show that adding Copper Oxide nanoparticles to bitumen improves the performance of base bitumen, especially at middle and low temperatures.
Colonization and Investigation of Vibrio Cholera Recombination Protein in E-Coli
Authors: Heidary Somayyeh , Yaghoubi Nezhad Amir , Mehrabi Far Atefeh
Published: November 2018

Background and aim: Vibrio cholerae is a gram-negative bacterial pathogen that causes diarrheal disease. One of the most pathogenic factors of V. cholerae is toxin-coregulated pili. This pilus is required as the first factor in the colonization and bacterial persistence in the small intestine. Materials and Methods: In this study, V. cholerae toxin-coregulated pili A (TCPA) gene was amplified using PCR method. The above genes were purified and then expressed by being cloned into the pGEX4T-1 plasmid. Then the recombinant plasmid structure was introduced into the E. coli bacterium. Protein production was carried out by IPTG induction and optimization of culture conditions. The recombinant proteins were purified using Glutathione S-Transferase (GST) Assay Kit and western blot test was then carried out for confirmation of recombinant protein. Protein levels were measured using Bradford protein assay. Results: The results of the present study proved the successful expression of recombinant proteins in E. coli cells. The recombinant protein was purified by affinity chromatography. The reaction pattern between these proteins and their anti-antibodies showed that these proteins have antigenic properties. Conclusion: Since it was proved that these proteins have antigenic properties in this study, they may be used as an appropriate antigen for vaccination of V. cholera.
Self-Management and its Relation to Organizational Excellence
Authors: ABD ALL GHAL BATOOL , MIRI HABEEB LIQAA , DEKHN HAMZAH KHITAM
Published: November 2018

The immense competition in organizations turns the business into huge innovation war. Every organization is searching for ways to achieve organizational excellence to better serve their consumers and survive in this competitive era. Employees are considered main source of innovation and excellence in any organization.Â  Therefore, this study focuses on the employee self-management practices to explain its role in organizational excellence. Self-management of employees makes them more dedicated, vigorous and engaged them in their work. The results of this study explain that self-management of employees contributes in organizational success in a positive way. Findings of this study contribute existing literature on this missing link between self-management and organizational excellence.
Mediating role of Innovation and Moderating Role of Size of Enterprise over the Relationship between Entrepreneurial Orientation and Performance of Micro and Small Enterprises
Authors: Riyadh Mahmood Yousif , Dekhn Hamzah Khitam
Published: November 2018

In this study the authors tried to identify mediating role of innovation and moderating role of size of enterprise in the relationship between entrepreneurial orientation and performance of Micro and Small Enterprises (MSEs). The researchers also investigated the effect that vary from enterprise size that basically means micro and small enterprises. For the purpose of this study data was collected from 384 MSE's operating in Punjab province. Initially the data was analyzed using SPSS 22 and later on for the development of structure equation modeling Smart PLS-3 was used. Only two aspects of entrepreneurial orientation have been analyzed; first one is risk taking and second one is pro-activeness, third most common aspect innovation has been taken as mediating variable as an enterprise cannot be innovative if it has not the capacity of risk taking and pro-activeness. These both aspects are attached to performance and also deals with innovation. The major contribution of the study is to identify any moderating effect of size of the enterprise over the relationship between entrepreneurial orientation, innovation and performance of MSEs. These elements basically show the contribution that is made by the innovation and performance of the MSE's. The objectives of the study were achieved, and it was found that there is no difference between performance of MSEs on the basis of entrepreneurial orientation and innovation. It is proved that the size of the enterprise is not the factor. The linkages found are affected by size of the enterprises.Â
Innovative Technologies of Teaching Business French
Authors: K. Kuzmina Elena , I. Nazarova Gulnara , R. Nizamieva Liliya , Leblanc CÃ©cile
Published: November 2018

The article deals with the peculiarities of modern technologies in teaching professional French, taking into account the requirements of international examinations, specific language-learning needs of students and level of their language proficiency. Pedagogical technologies are demonstrated by the example of teaching business French in the sphere of tourism, hotel business, as well as the guide-interpreters training. The educational courses are aimed at the development of basic speaking skills and skills necessary for business communication in French. The developed pedagogical technology is based on French for specific purposes (FOS) methodology and cognitive-practical activity methods that allow to develop traineesâ€™ communicative competence and their cognitive independence effectively. One of the conditions for successful development of communicative competence in the field ofÂ  business communication in a foreign language is to ensure that students do the necessary number of training exercises, in particular, connected with the use of business vocabulary, as well as with speaking exercises aimed at solving communication problems in real life situations of business communication. Similarity to the real life business environment is achieved through the use of information technologies and simulation games, which ultimately enhances the individual's ability to interact with others and adapt in the social and professional spheres of life. Successful completion of the end-of-course assessment is indicative of the fact that the students have reached high business communication competency.Â Â
Mathematical Modeling of High-risk Behaviors in Reformation and Social Assistance Centers
Authors: Khademi Nahid , Khoramdad Malihe , Shakiba Ebrahim , Barkhordar Nasrin , Rostamian Hassan , Saeidi Shahram , Zangeneh Alireza
Published: November 2018

There is an increasing rate of high-risk behaviors in women, particularly those in prisons and high-risk places. This study was aimed to determine the high-risk behaviors among women residing in reformation and social assistance centers of Kermanshah province, Iran.In this cross sectional study, 480 women living in reformation and social assistance centers, central prisons, social welfare centers, suburban areas, high-risk neighborhoods and hangouts; were randomly selected. The primary data were collected via demographic and high-risk behavior questionnaire. To detect HIV infection, a rapid test was used as well as ELISA test in suspected cases. Statistical analysis was performed using Chi Square and Pearson Correlation Coefficient tests. The most prevalent high-risk behaviors in the subjects were addictive drug abuse (73.5%), arrest by judicial centers (59.2%), illegitimate sexual contacts (52.3%), and suicide (52.3%), respectively. The rapid HIV test revealed a positive correlation co-efficiency between HIV-positive individuals with crystal meth abuse (r=0.119, P=0.035).Associations were also observed between smoking and narcotic drug abusing (p<0.001) and with drinking alcohol (r=0.265, p<0.001). A history of suicide with a history of imprisonment also showed a positive correlation. A high prevalence of drug abusing, illegitimate sexual contacts, as well as transmission of HIV infection due to high-risk sexual contacts and injection drug addiction among the women were among the most significant findings of the survey. These observations highlight the importance of the of authority’s attention to design better policies and to implement them in order to reduce or prevent the resulting social harms.
The Ecological Estimation of Sredniy Kaban Lake Based on Molecular Methods
Authors: Khusainov M. , L.Frolova Ludmil
Published: November 2018

Sredniy Kaban lake is part of the system of Kaban urban lakes, experiencing anthropogenic load, and being currently used for sporting events in rowing. Monitoring of the reservoir is carried out regularly with restoration and improvement activities, and green beaches landscaped. Assessment of the ecological state of the reservoir and the surrounding environment is carried out by different methods, one of the main is bioindication. The method is based on the study of indicator species, identified by obsolete methods based on their morphological features. As an alternative to the visual approach with the use of a microscope, the paper considers a method for identifying hydrobionts by the CO1 marker gene based on the DNA-barcoding method and modern sequencing methods. The sequenced sequences of the fragment of the CO1 hydrobiont gene of freshwater Sredniy Kaban lake in the autumn (2016) and summer (2017) sampling periods in the fastq format are included in the international database on the NCBIâ€™s website with unique numbers SRR5852708 (2016) and SRR5839796 (2017). The paper presents the results of the analysis and gives an assessment of the water quality of Sredniy Kaban lake (Kazan, Russia). Comparative analysis of metagenomic data shows that most of the animals of Sredniy Kaban lake are grouped near the b-mesosaprobic zone in 2016, and o-saprobic zone in 2017. By water quality Sredniy Kaban lake is transitional from b-o-saprobic to b-a-mesosaprobic as of the results of 2016, and according to the results of 2017 - from b-o-saprobic to o-saprobic, which is due to the restoration activities carried out during this period on Sredniy Kaban lake.Â Â
Roadmaps Classification
Authors: P. Loginov Mikhail , P. Ivanitsky Victor , S. Maramygin Maksim , A. Tatyann Vasiliy
Published: November 2018

Creating modern maps is one of the methods for simplifying business and improving logistics. This research systematizes the main methods for making ties, object mapping, Ob-EKT planning, specific types of road maps and their features. Different roadmaps are systematized in four types: public, corporate, thematic (expert) and the project roadmaps (project/program/portfolio management plan). We introduce an original approach to identifying the road map maturity level. There are four maturity levels: network, expert opinion, the concept (strategy), management plan.Â Â
Pressure Wave Elimination in Iraqi Crude Oil Pipelines Using Novel Porous Filter and Electronic Control System
Authors: I. Ibrahim Raheek , K. Odah Manal , S. Salman Hawraa
Published: November 2018

The pressure wave is a serious problem in crude oil transportation pipelines. It is generated at the beginning and at the end of crude oil pumping process or as a result of sudden closing of valves. The high turbulence fluid particles in presence of pressure wave resulting in sever stresses on pipe walls needing for maintenance and replacement after a period of time. It is also leading to dissipation of flow energy consuming much more power for oil pumping. The objective of the present work is to decrease and eliminate the pressure wave in Iraqi crude oil pipelines through designing, manufacturing, and testing of a novel pressure wave filter with optimum design. The experimental system consists from: porous filter, oil pipe, pump, AC drive, and digital pressure transducers. The porous filter that was tested to eliminate the pressure wave is composed from various pipes (0.5 inch Perspex pipe, 1 inch PVC pipe, and 2 inches stainless steel pipe) with different porous materials to absorb the pressure energy from the fluid particles. These porous media are (1.5cm, 1cm, 0.4cm glass beads, and glass cylinders of 2cm length, 2cm outer diameter, and 2mm thickness). The experimental results proved the successful of the invented porous filter for eliminating the pressure wave by 99% using optimum design without suppressing the flow rate of crude oil in the pipe. The results obtained are quite significant since it awards a simple and low-cost solution for a real and practical problem in crude oil transportation sector.Â
Research of the Technology for the Production of Modified Sulfur Bituminous Binders
Authors: Djimasbe R. , F. Kemalov A. , A. Kemalov R.
Published: November 2018

In this article, a review of the literature on the technology of production of a paving material based on elemental sulfur was made, and a laboratory test of this technology was carried out at the Department of Highly Viscous Crude Oil and Natural Bitumen. Attempts to mix sulfur with bitumen in order to reduce the cost of road construction and sulfur utilization were undertaken earlier, however, the mixtures obtained did not provide the appropriate quality, and the process was difficult to implement. The article proposes a unique technology for obtaining not a physical mixture, but the formation of a chemical bond between sulfur and bitumen with the formation of bitumen polymers. This technology becomes possible with the use of a catalyst specially developed by the initiators of the project and has no analogues in the world practice. Thus, the scientific novelty of the study is determined by the fact that for the first time an analysis is made of the composition of the components of the complex, which are subsequently introduced into the mixture with the feedstock in order to obtain the target product, which is gray-bitumen.Â Â
Gait Recognition as Non-Intrusive Biometric Using View Invariant Methods in Multi Temporal Images
Authors: BEULAH DAVID D. , A.DORAIRANGASWAMY M.
Published: November 2018

Gait patterns have been used widely in recent years to authenticate users. Because it doesnâ€™t require user intrusion, it is often used as a biometric to make authentication processes easier and hassle free. But there are various issues with this process. To start with, the viewing angle has to be constant which is quite difficult to achieve with limited number of cameras. Speed too can alter the way a person walks and cause inconsistencies in identification. Furthermore, complications might arise if the subject is carrying something. The weight can affect his walking pattern. Besides, a recent accident could also transform a personâ€™s walking pattern and lead to wrong identification. Other biometrics such as face detection can be combined with this technique to reduce the issues leading to erroneous identification. In this paper, we propose a system to overcome the viewing angle discrepancies. The system takes in walking sequences as input and processes them to create images. This is converted into 3D images by means of stereovision algorithms. Using which, we can effectively match the real-time image with various image sequences in the database. Side face detection can enhance the accuracy further..Â Â