bluuebunny/crossref_metadata_2025 huggingface dataset:
A New Development Approach of Intelligent Monitoring System for Library Pioneers Behavior Based on University Regulations
Authors: Sabri Salim Muhammed
Published: November 2018

The modern technology of video surveillance systems has proved to be the best solution in direct supervision of property, individuals, and the environment. This article addresses the design approach of a smart surveillance system for university library to ensure compliance with library usage rules. The solution proposed for the surveillance system depends on innovative integration of intelligent algorithm, cameras and motion detectors in the web application. An algorithm was created according to the instructions of attending the university library of Al-Nahrain University. This algorithm has the ability to analyze video and extract the effectiveness that does not comply with the library's rules and regulations that the student can do in the library. The PX1-C415 Single Board Computer type is programmed with a smart algorithm and integrated with motion detectors and video cameras to create the proposed system. It has ability for detection, processing and rapid response through capturing images and transferring them to a wireless module on the administrative desk and thus activating the alarm system. The accuracy of the detection algorithm used was 91% for a distance of 1-5 meters. In addition, the admin received the violations with accuracy of 93%. The proposed system offers a perfect solution that is accurate, fast and scalable to support comprehensive and economical monitoring.
Cloud hosting services and resources utilizing efficient proxy server based speculative algorithm
Authors: Mahadevan Ravi , Anbazhagan Neelamegam
Published: November 2018

Cloud computing is an envisioned technique for service providing paradigm. Currently, many enterprises and organizations are hosting data into cloud service provider to minimize the maintenance cost, energy consumption and improve the data consistency. However, the several cloud servers facing the various hosting service policies, clients may be confused with which cloud server providers are appropriate for storing data and which hosting methodology is inexpensive. The current status quo is clients frequently put data into the single cloud and simply trust to luck. In the paper, proposes a new data hosting redundancy methodology called as Efficient Proxy Server Based Speculative (EPSBS) algorithm that provides accessibility guarantee, reducing hosting service, energy consumption and enhances Quality of Services (QoS) performance concurrently and it requires integrating two key functions. The first function is choosing numerous appropriate cloud service providers and a suitable EPSBS redundancy methodology to store data with guaranteed accessibility. The second key function is triggering a transmission process to reallocate data along with the deviations of data access prototype of clouds.  Based on Experimental evaluations, proposed methodology reduces 0.11 ET (Execution Time), and 0.02 EC (Energy Consumption) and improves 29% HS (Hosting Service size), 2.8 T (Throughput) compared than existing methodologies.
Simultaneous fault detection and diagnosis in electric power system using hybrid method
Authors: Afaneen anwar Dr. , Ali Abttan Rana
Published: November 2018

Simultaneous fault is one of the challenging issues. Faults are the major hurdles in power system designing and protection .Simultaneous fault is the combination of faults indicates that that two or more faults which occur at the same time.The main objective of simultaneous fault detection, classification and location is satisfy accelerates line restoration, maintains system, stability, repairs the fault, decreases the restoration time and increases the system reliability.This paper presents an approach for analysis, detection, classification and location for simultaneous faults in bus bar and transmission line. Two port network is adapted for analysis , voltage and current measurement method is adapted in the fault detection, neural network in the fault classification and location for different types of fault and places were to estimation accurately fault location by analyzing the data available after the beginning of disturbance.All programs were written in MATLAB environment. The programs were test on IEEE- 11 bus bar network. The results clarified that the voltage and current measurement method and impedance method is very effective for simultaneous fault detection, classification and location.
A comparison of features for POS tagging in Kannada
Authors: Atmakuri Shriya , Shahi Bhavya , Rao B Ashwath , S N Muralikrishna
Published: November 2018

This paper proposes a system of part of speech tagging for the South Indian language Kannada using supervised machine learning. POS tagging is an important step in Natural Language Processing and has varied applications such as word sense disambiguation, natural language understanding etc. Based on extensive research into methods used for POS tagging, Conditional Random fields have been chosen as our algorithm. CRFs are used for sequence modeling in POS tagging, named entity recognition and as an alternative to Hidden Markov Models. Three very large corpora are used and their results are compared. The feature sets for all three corpora are also varied. The best method for the task is determined using these results.
Massive open online courses (MOOCS): systematic literature review in Malaysian higher education
Authors: Al-Rahmi Waleed , Aldraiweesh Ahmed , Yahaya Noraffandy , Bin Kamin Yusri
Published: November 2018

This study provided a systematic and organized review of 32 studies regarding using of Massive Open Online Courses (MOOCs) in Ma-laysian higher education from 2012 to 2017. This paper conducted an analysis of studies dedicated of using (MOOCs) for learning on the basis of certain dimensions namely, journal, country, author, year of publication, research methods, type of respondents, the models, and the theories. The findings obtained revealed that the interest on the topic has shown an increasing trend over recent years that it has ultimately become a well-known topic for academic research in the future. Nevertheless, to boost and enhance the using (MOOCs) for learning, it is important that future studies apply considerable use of theoretical and methodological approaches like the qualitative methods to examine the factors it will encourage students to use (MOOCs).
The application of fractional derivatives through Riemannliouville approach to xanthan gum viscoelasticity
Authors: Sumiati Ira , Rusyaman Endang , Subartini Betty , . Sukono , Budiono Ruly
Published: November 2018

Fractional derivatives are derivative with non-integer order, one of which is used for mathematical modeling of viscoelasticity. In this research, the fractional derivative was used to obtain a mathematical model of viscoelasticity. The method used was a fractional derivative through the Riemann-Liouville approach. The mathematical model of viscoelasticity obtained was a complex modulus consisting of storage and loss modulus. This model was applied to xanthan gum concentrate solution 0.5%, 1.0%, 2.0%, 3.0%, and 4.0% with simplified model parameters. The results obtained that the storage and loss modulus increased with increasing concentration of the solution. In addition, the modulus storage was always greater than the modulus loss for all concentrations of the solution. This suggests that the elastic properties of the xanthan gum solution are more dominant than their viscosity properties for all concentrations. Therefore, the viscoelasticity model using Riemann-Liouville fractional derivatives has a good ability to investigate the viscoelasticity behavior of all xanthan gum concentrations.
Effect of axial magnetic field tapering on whistler-pumped FEL amplifier in collective Raman regime operation
Authors: Gopal Ram , Kumar Jain Pradip , Kumar Jain Pradip
Published: November 2018

The dispersion relation of the FEL Amplifiers is sensitive to the linear tapered strong axial magnetic fields, electron cyclotron frequency and plasma frequency of electrons. For the synchronism of the pumped frequency, it should be closed to electron cyclotron frequency which is resonantly enhanced the wiggler wave number that produces the amplifier radiation for higher frequency from sub millimeter wave to optical ranges. The guiding of radiation signal into the waveguide and charge neutralization phenomenon, the beam density should be greater than the background plasma density with tapered strong axial magnetic field. It is quite considerable that radiation signal slowed down at much higher background plasma density comparable to the density of beams and enhanced the instability growth rate also. In Raman Regime operation, the growth rate decreases as increases with operation frequency of the amplifier, however, the growth rate is larger in this regime. It is noted that as increases with background plasma density, the beat wave frequency of the Ponderomotive waves is increases thus the mechanism of background plasma density can serve for tenability of the higher frequencies. The tapering of the strong guided magnetic field is a crucial role for enhancing the efficiency of the net transfer energy as well as reduction of interaction region along the axis. It is observed that, an efficiency of the transfer energy enhanced by while the reduction along the interaction region of about with the variation of tapering in a strong axial guided magnetic fields.
Critical studies on bond strengths of masonry units
Authors: P. Nandurkar B , A. M. Pande Dr
Published: November 2018

Performance of masonry is normally attributed to compressive strength of individual units, water absorption of individual units, strength of masonry mortar and the bond between mortar and individual units. Many researches in the past have contributed towards the bond strength and relevance of compressive strength of mortar in achieving good bonds. However, the quality of bricks available in India significantly vary from region the region. Thus, a need is felt in understanding bond strength of masonry. In this paper three types of mortars(total nine combinations), two types of bricks (red clay brick and fly ash brick) are considered, tests such as compressive strength, water absorption of the bricks, compressive strength of various mortar combinations, flexure bond strength and shear bond strength are presented. Failure patterns of the masonry units are also discussed. Results of the two tests show noticeable variation in bond strengths, however the shear bond strength has significant relationship with the compressive strength of mortar. The research outcome also points towards using bricks in saturated condition for achieving adequate performance.
The effect of organobentonites from spent bleaching earth (SBE) and commercial bentonite on nanocomposite properties
Authors: Paramith Tika , P Sitompul Johnner , Woo Lee Hyung
Published: November 2018

This paper concerns on synthesis of nanocomposites consisting of Poly(lactic acid) (PLA) and clays. Two types of clays were regenerated organobentonite and commercial organobentonite. PLA and clays were melt extruded using single-screw extruder. The extruded compound was pelletized, then hot pressed using compression molding machine. Regenerated organobentonite was obtained from regeneration of spent bleaching earth (SBE) using solvent extraction and oxidation method. Afterwards, regenerated SBE modified by organic compound. While, commercial organobentonite was directly modified of commercial bentonite using organic compound. In this study, nanocomposites were prepared with varying compositions of clays from 0% to 5% (by weight). Experimental results show that partially exfoliated nanocomposites structure was shown by X-ray diffraction analyses. In addition, the effect of clays on morphology structure, mechanical, barrier, and biodegradable properties were analyzed. The utilization of clays in nanocomposite increases mechanical properties at low clay compositions. Furthermore, PLA-clay nanocomposites show better barrier and biodegradable properties compared to that of the neat PLA.
Certain investigations on multi input –SEPIC-RE boost-system with enhanced-response
Authors: Jagadish Kumar B. , Basavaraja Banakara Dr.
Published: November 2018

Recent developments in converters have given pathway to high-gain-step up converter having low output voltage ripple. High-gain-step up converters can be found between Photovoltaic Voltage (PV) and Direct-Current (D-C) loads. The intention of this work is to identify multi converter system for multiple input sources and to improve time response of high-gain-step up-converter. Closed-loop Multi-Converter System (MCS) is utilized to regulate load voltage. This effort recommends suitable-controller for “closed-loop-controlled-SEPIC-REBOOST Converter fed DC motor”. The estimation of the yield in ‘open-loop’&‘closed- loop-circuit’ has been done using MATLAB or Simulink. Closed-loop-control of MCS with PI and FOPID-Controllers are investigated and their responses are evaluated in conditions of rise time, peak time, settling time and steady state error. It is seen that FOPID controlled MCS gives better time domain response in terms of motor speed. A ‘Prototype of MCS’ has been fabricated in the laboratory& the ‘experimental-results’ are authenticated with the simulation-results.
Project Workflow Management: A Cloud based Solution-Scrum Console
Authors: Tiwari Rajeev , Upadhyay Shuchi , Lal Gunjan , Tanwar Varun
Published: November 2018

Today, there is a data workload that needs to be managed efficiently. There are many ways for the management and scheduling of processes, which can impact the performance and quality of the product and highly available, scalable web hosting can be a complex and expensive proposition. Traditional web architectures don’t offer reliability. So in this work a Scrum Console is being designed for managing a process which will be hosted on Amazon Web Services (AWS) [2] which provides a reliable, scalable, highly available and high performance infrastructure web application. The Scrum Console Platform facilitates the collaboration of various members of a team to manage projects together. The Scrum Console Platform has been developed using JSP, Hibernate & Oracle 12c Enterprise Edition Database. The Platform is deployed as a web application on AWS Elastic Beanstalk which automates the deployment, management and monitoring of the application while relying on the underlying AWS resources such EC2, S3, RDS, CloudWatch, autoscaling, etc.
Expectation-maximization-based channel estimation algorithm for OFDM visible light communication systems
Authors: Soubhi Hussein Yaseein , Yusoff Alias Mohamad , A. Abdulkafi Ayad , Omar Nazaruddin , Kamarulzamin Bin Salleh Mohd
Published: November 2018

The tremendous growth of indoor communication requires increased capacity and appropriate quality of services. Visible light communica-tion (VLC) is a green technology that shows great promise in terms of its ability to meet the demand for communication services. Orthogo-nal frequency division multiplexing (OFDM) enables VLC to provide a higher data rate and to combat inter-symbol interference. However, an accurate and efficient channel estimation method is needed for coherent demodulation at the receiver end of an OFDM system. In this paper, a new algorithm for OFDM-based VLC systems is proposed. The algorithm is based on expectation maximization and is called the expectation maximization for visible light communication (EM-VLC) algorithm. The algorithm is implemented to find the maximum-likelihood (ML) estimation of the channel impulse response and to find unknown parameters. In addition, a low-rank minimum mean square error (lr-MMSE) estimator algorithm is developed and its performance is compared with least squares (LS) and minimum mean square error (MMSE) estimators. The proposed EM-VLC algorithm improves the performance of OFDM VLC systems by significantly reducing the bit error rate (BER) and consequently increasing system throughput. The simulation results demonstrate that the EM-VLC algorithm outper-forms the three channel estimation algorithms, LS, MMSE and lr-MMSE.
Enhancing Virtual Machine Live Migration Time Using Vcpu Limits
Authors: Dewan Aula Abdel Latief , Ahmed Rabah Abood
Published: November 2018

In the Cloud Computing, the live migration of a virtual machine or VM from one physical machine to another is a vital process applied on the service provider side. Live migration helps administrators manage data centers resources optimally. Due to the intensive daily use, it is necessary to improve the performance of VM migration-this is reflected in improving the quality of service provided to the customer while minimizing the costs incurred. Pre-copy is an important method of live migration that has been adopted in many cloud computing platforms. One main drawback of this method is the degradation of its performance when the migrating VM runs one or more of the processes that write on the memory pages faster than the speed of transferring those pages. This makes migration time-consuming. In this paper, we propose an approach to address this issue by reducing the generation rate of the modified pages while maintaining the service provided to the customer. This approach was applied to the real Xen platform and the results showed an improvement in the time of live migration of the virtual machine that runs an intensive write process up to 40% compared to the migration time of the original Xen platform.
Significant effects of cementitious materials on strength gain properties of concrete with partial replacement of fine aggregate by quarry dust
Authors: Suganya S , Rajkumar V
Published: November 2018

Concrete incorporates large amount of natural resource as aggregates with cement and water. Cement production consumes huge energy and causes about 7% of total greenhouse gas emission in the world. It has been strived to provide better quality in concrete using waste by-products from industries so that natural resources are used in an efficient manner and thereby the environment is protected from waste deposits. Hence, mineral admixtures like fly ash and micro silica can be used to overcome these issues. The demand for river sand is getting increased day by day, which affects its constant supply. Under these circumstances use of quarry dust becomes inevitable. The usage of fly ash in the concrete leads to strength gain only at later stages. In order to obtain strength during the early stage, micro silica is added as a partial replacement of cement. The properties of fly ash, micro silica and quarry dust were studied. Fly ash (0-40%) and micro silica (0-15%) are used as a partial replacement for cement and quarry dust (50%) as that for river sand by mass. Mechanical properties of the concrete containing hybrid mineral admixtures and quarry dust are studied systematically.
New approach for self-parking management system
Authors: Lahdili Hicham , El Abidine Alaoui Ismaili Zine
Published: November 2018

The parking operation is considered the most stressful task amongst all driving experiences, and during this operation a considerable number of accidents are occurring each day. As a result, Parking Assistance Solutions (PAS) are widely used nowadays. Unfortunately, those systems are not fully automated and their role is limited to assisting the driver during the parking operation. This paper presents a proposal of a low cost, fully automated self-parking management solution. This proposal is a combination of two subsystems that will be collaborating to achieve a fully automated system; the first part is composed of an indoor navigation system, based on the adaptation of the available surveillance camera network in the parking area. This system will locate vehicles in the parking area and provide their current position in real time. And based on the localization information in addition to available free parking lots a server will generate navigation consigns. Those consigns (speed, rotation angle and direction) will be used by an auto-parking kit (that represent the second part of our proposal) to control the parking vehicle, that will drive itself to its reserved place.
Internet of things mathematical approach for detecting brain tumor
Authors: Kareem Jumaa Noor , A.H Mohamad Auday , Hameed Majeed Sameer
Published: November 2018

Brain is highly important organ which makes us able to walk, breath, and all other activities; without brain lives can’t do all of that. The importance of brain functions made it critical to make any not precisely measured medical action. Currently; computer vision is very important in medical field, where it helps specialists to precisely diagnose and take the right decision before making surgeries. This article worked on accommodating the technology of internet of things (IoT) for serving brain medicine specialist in the field of identifying the need of making surgeries depending on magnetic resonance imaging (MRI) images. Support Vector Machine (SVM) algorithm is used to detect brain tumor and segment it from MRI morphological images. Putting SVM on IoT Thingspeak platform will help brain specialist to diagnose MRI images that are received from MRI computerized system online. The obtained results are compared with same algorithm implemented locally with assist of Matlab program version R2017a.
ECG signal diagnoses using intelligent systems
Authors: Faleh Hassan Raaed , Abdulmunem Shaker Sally
Published: November 2018

Accurate diagnosis of arrhythmias plays a crucial role in saving the lives of many heart patients. The aim of this research is to find the more efficient method to diagnosis electrocardiogram (ECG) diseases. This work presents the use of Backpropagation neural network (BPNN) and fuzzy logic for automatic detection of cardiac arrhythmias based on analysis of the ECG. These a more valuable tool used to classify ECG signals in cardiac patients. Data collected from physioBank ATM. The analysis of the ECG signal is performed in MATLAB environment. In BPNN the results appear that the only two misclassifications happened to result in an accuracy of 90.4%. while in fuzzy inference system the results appear that the classification accuracy is 100%.
Design and implementation of remotely Tigris river water monitoring system in Baghdad
Authors: F. Fawzi Sura , A. Mohammed Hussein
Published: November 2018

Tigris River in Baghdad city that penetrate the rural and urban areas is polluted by many organic substances from different user activities including industrial, agricultural, and domestic purposes. Therefore to monitor and protect the river water from pollution, a remote monitoring system for Tigris river water in Baghdad is suggested. Different water quality parameters; Dissolved oxygen (DO), Electrical conductivity (EC), Total Dissolved Solids (TDS), and PH are measured from two areas near the Tigris River; oil refinery and power station. It show that wastes from these stations are polluted the river with their industrial wastes.
Complex Multi-Fuzzy Relation for Decision Making using Uncertain Periodic Data
Authors: Al-Qudah Yousef , Hassan Nasruddin
Published: November 2018

We introduce a new type of relations called complex multi-fuzzy relation (CMFR). The novelty of CMFR lies in the ability of complex multi- membership functions to achieve more range of values while handling uncertainty of data that is periodic in nature. The application of complex multi-fuzzy sets is then discussed in determining: the influence of modern methods of education on student performance, and the time required for the former to affect the latter. A comparison between different existing relations and CMFR to show the ascendancy of our proposed CMFR is provided. Thereafter, a few related concepts such as complement, union, intersection and inverse along with several propositions are discussed, followed by the composition of CMFR along with some related theorems. Finally, the notions of symmetric, transitive, reflexive, and equivalence complex multi-fuzzy relations are established in our work.
Biophysical study regarding the effect of hydrogen sulfide on molecular structure and DNA of mammalian cornea
Authors: E. Ibrahim Amal , M. Awad Sahar , M.Elshibly Shimaa , M kamal Gehan
Published: November 2018

Background: Humans are affected by both exogenous and endogenous sources of hydrogen sulphide gas (H2S). Its health effects depend on concentration and the duration of gas exposure. These hazards include-among many effects-eye irritation, tearing and inflammation.Objectives: Our study aimed to characterize the side effects induced in cornea due to H2S exposure by using by means of comet assay and Fourior Transformer Infrared Radiation (FTIR).Materials and methods: sixty chinchilla rabbits were randomly grouped into four groups. Group one served as control. Animals were exposed to hydrogen sulphide gas with concentrations of, 90, 250 and 500 ppm. After exposure, animals were decapitated, and the eyes were enucleated from the eye globe. Their corneas were obtained by sectioning through ora serrate. Corneas were then kept frozen at – 20° C for analysis by FTIR spectral and comet assay analysisResults: NH-OH region changes revealed unusual interface/binding mechanism that related to different surrounding environment as well as co-existence of different formations and conformations in the system after exposure to H2S gas. Moreover the exposure to H2S gas has no effect on the CH stretching region that arising from lipid. All parameters of comet assay significantly increase (p˂0.05) due to exposed doses. This increase is directly proportional to the increase in exposure level.Conclusion: Hydrogen sulfide is a very toxic gas to cornea which is considered as window of the eye .it has a serious effect on molecular structure and DNA of cornea. By better understanding its toxicity, we will be able to safely make use of its various benefits without the threat of harm looming over our heads.
Action recognition based on histogram of oriented gradients and spatio-temporal interest points
Authors: A. Dhulekar P , T. Gandhe S
Published: November 2018

In modern years large extent of the work has been carried out to recognize human actions perhaps because of its wide range of applications in the field of surveillance, human-machine interaction and video analysis. Several methods were proposed by researchers to resolve action recognition challenges such as variations in viewpoints, occlusion, cluttered backgrounds and camera motion. To address these challenges, we propose a novel method comprise of features extraction using histogram of oriented gradients (HOG), and their classification using k-nearest neighbor (k-NN) and support vector machine (SVM). Six different experimentations were carried out on the basis of hybrid combinations of feature extractors and classifiers. Two gold standard datasets; KTH and Weizmann were used for training and testing purpose. The quantitative parameters such as recognition accuracy, training time and prediction speed were used for evaluation. To validate the applicability of proposed algorithm, its performance has been compared with spatio-temporal interest points (STIP) technique which was proposed as state of art method in the domain.
Manufacturing and analysis of carbon fiber knee ankle foot orthosis
Authors: M. Takhakh Ayad , M. Abbas Saif
Published: November 2018

Knee ankle foot orthoses (KAFOs) are used by paraplegia patients with low level spinal cord injury and having well control of the stem muscles. Four layers of carbon fiber with C- orthocryl lamination resin are used for manufacturing the knee ankle foot orthoses in this work. The mechanical properties of most of the components materials were estimated with the aid of fatigue and tensile test machines. Results of the tensile tests showed that the mechanical properties: yield stress, ultimate strength and modulus of elasticity were 92MPa, 105.7MPa and 2GPa respectively. The value of amidst pressure between the patient limb and the manufactured KAFO was measured using (F-socket) Mat scan sensor and these values of pressure were (663kPa) and (316kPa) for the thigh and calf regions respectively.
A MPPT strategy based on cuckoo search for wind energy conversion system
Authors: Centhil Kumar C , Jacob Raglend I
Published: November 2018

The WECS based Doubly Fed Induction Generator (DFIG) system is presented in this paper which includes different MPPT control strategies for a grid connected system. The GSC gives the flow of power from the rotor part of DFIG up to the grid and the modulation of DC voltage. Here the cuckoo search algorithm based on MPPT is designed, to obtain a higher power from the changing speed wind turbine. The algorithms such as Perturb and Observe (P&O), Proportional Integral (PI) control and Fuzzy Logic Controller (FLC) are compared and their performances are evaluated. To design and develop the cuckoo search optimization based on MPPT for WECS, and to obtain optimum voltage regulation and power, thus improving the working performance, reducing the domain time and minimizing the performance indices. To simulate the different MPPT control methods, MATLAB/Simulink environment is used here.
Experimental Behaviour of Sandwich Panels Using Copper Slag Mortar
Authors: Lavanya Prabha.Sa Dr , Neelamegam Dr , Sri.R Vinodhini
Published: November 2018

This paper presents the study to investigate the viability of using copper slag as fine aggregate in cement mortar. Two series of cement mortar mixtures were prepared with different proportion of copper slag at different workability. In the first series, various proportions of copper slag is substituted for sand ranging from 0% to 100% with constant workability. Second series consists of fully replaced copper slag for sand in the cement mortar, which was achieved by maintaining the same workability as that of the control mortar mixture from first series and a control mixture for this new workability with sand as fine aggregate. The strength of twelve trial cement mortar mixtures were tested. The results indicate high compressive strength upto 50% replacement of copper slag, after that the compressive strength decreases with increase in copper slag percentage in cement mortar. The copper slag content in the mortar adversely affected the compressive strength of the mortar mixtures as 4.2% and 21.1% improvement in the compressive strength of the cement mortar for 50% replacement compared and 100% replacement compared with the control mortar mixtures. The density of cement mortar increases with increase in copper slag. From these trial mixtures two optimized mixtures were selected and were used to cast the sandwich panels. This panels were tested for flexural behaviour and axial load compression behaviour. The behavior of sandwich panels were simulated using ANSYS and the results were compared with experimental results.
Flexural Behavior of Rolled Steel I Beam with Different Stiffener Position
Authors: G Prabha. , R Emilreyan
Published: November 2018

Economy, ease and speed of construction are the main factors for using steel as a building material. In this paper conventional hot rolled steel I-beam sections are considered as the main flexural member of industrial buildings. The main goal is to increase the load carrying capacity of the beam with inverted w shape stiffener condition at centre. The initiative was to identify the maximum load behaviour and deflection of steel beams with stiffener in the web. The performance of such beams has been considered only for vertical loads. Hot rolled steel beam of ISMB 100 with stiffener were tested to failure experimentally. The beams were simply supported at the ends and subjected to a 2 equal concentrated load applied at one third of span from both ends.  The deflection at centre of beam and various failure patterns are studied. All the beams were analyzed by the finite element method by using general finite element analysis software ANSYS and the results were compared with those obtained experimentally. The finite element results for deformation and ultimate strength shows good agreement with the corresponding values observed in the experiments. At last, a comparative study was carried out using finite element method to examine that which type of beam gives best performance during loading. The numerical results indicate that the use of hot rolled I section with stiffener is an economical and advantageous choice.
Adsorption of Cadmium from Aqueous Solutions Using Low cost Materials-A Review
Authors: Padmaja M. , Bhavani R. , Pamila R.
Published: November 2018

With the onset of industrialization, a lot of anthropogenic sources of cadmium, including industrial emissions, application of fertilizers and sewage sludge to farm land has lead to the contamination of water bodies, and has increased cadmium uptake by agricultural crops, grown for human consumption. Cadmium when present, even at low concentrations may pose serious health as well as environmental hazards. The use of various materials has been widely investigated as a replacement of recent expensive methods for removing cadmium from water and wastewater. Plant based natural materials, agricultural products, nano materials and industrial wastes are efficiently used as low-cost adsorbents. Until now, most of the researchers have attempted to review the literature for multiple heavy metals. In the current review, an elaborate list of literature has been compiled to provide information on a wide range of natural as well as modified adsorbent materials for the removal of Cadmium from wastewater.
The Quality of the Tribosystem as a Factor of Wear Resistance
Authors: Vojtov Viktor , Biekirov Abliatif , Voitov Anton
Published: November 2018

The purpose of this work was to develop a criterion for estimating the quality factor of the tribosystem and to assess its effect on wear rate, friction coefficient and run-in time. The basis of the methodological approach when developing a criterion for the quality of the tribosystem is the parameters that take into account the construction of the tribosystem, the thermal diffusivity of materials and the loading conditions of the tribosystems.The definition of the quality of the tribosystem has been further developed, which, unlike the known one, takes into account the geometric dimensions and kinematic scheme of the tribosystem, the thermal diffusivity of materials and the rate of propagation of deformation in the surface layers of the triboelement materials during their contact interaction. Theoretical and experimental studies established the relationship between the quality value, wear rate and the friction coefficient in the process of running-in. It is shown that the increase in quality helps to reduce the above-mentioned parameters.The relationship between the running-in time and the quality value is established. It is shown that the process of running-in can be controlled. To reduce the running-in time, it is necessary to reduce the sliding speed during the transient process and to increase the tribological properties of the lubricating medium. The presented theoretical and experimental studies allow us to state that the quality of tribosystems Q can be a measure of the potential ability of the tribosystem to adapt (adapt) to operating conditions, providing the maximum resource.
Improvement of the Method for Calculating the Metal Temperature Loss on a Coilbox Unit at The Rolling on Hot Strip Mills
Authors: Kukhar Volodymyr , Kurpe Oleksandr , Klimov Eduard , Balalayeva Elena , Dragobetskii Vladimir
Published: November 2018

The paper improves the calculation methodology of metal temperature loss during hot rolling process at continuous mills. The proposed methodology can be implemented at hot strip mills with various in-line equipment arrangements within the temperature ranges appropriate for processes simulation of hot rolling, normalized rolling and Thermo-Mechanical Control Process of carbon and microalloyed steels. It provides engineering analysis of unaccounted temperature losses of feed by means of radiation and convection, which, in the first time, through the time factor, additionally accounts for strip motion speed factors, roller table length and feed length, and also length of rolls contact arc with metal. The accountability of the above mentioned factors in the various compositions depending on the rolling method increases the engineering simulation accuracy, ensures the versatility of the elaborated method with respect to different types of mills and makes the scientific novelty of the study. The equations were developed to calculate the metal temperature loss while coiling at the CoilBox unit. The equations accounts for the influence on the temperature of strip length, coiling and uncoiling speed, strip thickness, inside radius of the reeling coil, the time the feed rests being coiled. The improved model was verified based on actual data.
Coplanar Qca Adders for Arithmetic Circuits
Authors: Safoev Nuriddin , Cheol Jeon Jun
Published: November 2018

A quantum-dot cellular automaton (QCA) is one of the most perspective nanotechnologies for future computing paradigm. We propose low complexity QCA adders for arithmetic circuit design. The proposed majority-gate based full adder is coplanar layout, and on the basis of clock-phase crossover technique. The results of the proposed structures from the QCA simulator tool are analyzed and compared with previous works.
Implementation of Full Adder Using 5-Input Majority Gate
Authors: Erniyazov Sarvarbek , Cheol Jeon Jun
Published: November 2018

In this paper full adder was created employing five-input majority gate according to Quantum-Dot Cellular Automata (QCA) innovation. We used the QCA logic in our modified structure to reduce the delay. That report details the structure furthermore investigate associated with QCA dependent 1-bit full adder design for minimal energy purposes. This method permits decreasing energy expenditure, delay, additionally location involving electronic circuits.
UX Design for the Visually Impaired to Improve Health Information Accessibility
Authors: Jin Kim Woo , Ji Kim Min , Kon Kim Il
Published: November 2018

This study was conducted on individuals with low vision, who constitute the highest population among visual impairment patients. We conducted an experiment to determine whether there was an improvement in accessibility to visual information for the visually impaired after applying the UX design guidelines. Additionally, we analyzed whether this UX design affects the information recognition rate for the non-disabled individuals.
Application of Machine Learning Techniques to Tweet Polarity Classification with News Topic Analysis
Authors: Park Hoyeon , Seo Hyeonjeong , Jae Kim Kyoung , Moon Gundoo
Published: November 2018

The exponential growth of online community provides the tremendous amount of textual information in terms of human behavioral reaction. Thus, online social media platforms such as Twitters, Facebook and YouTube are reflected as an essential part of human relationship networks. Especially, Twitter is widely applied to the disaster situation as a text and it provides critical insights into emergency management. In this study, we propose a topic analysis and sentiment polarity classification with machine learning techniques for emergency management. In this study, we compared the polarity classification models using three machine learning methods and found that the model with random forests showed the best classification performance.
IoT based H-E-T Monitoring & Alerting System
Authors: Dhaval Patania Mr. , Nisha Iyer Ms. , Vivek Darji Mr.
Published: November 2018

When considering health, one of the most important parameter to be seen is the state of heart. The heart is the main element in a human body which is muscular organ about the size of a closed fist that functions as the body’s circulatory pump. It takes in deoxygenated blood through the veins and delivers it to the lungs for oxygenation before pumping it into various arteries. There exists a project which can measure ECG (Electrocardiogram), temperature and heartbeat rate and the base of working was using Bluetooth (802.15.1), which passed the readings of the system to the Android and desktop application. The current project masks all the inabilities of the previous systems which it was supposed to cover. The current project is very synchronized version of the previous system created. It is compact, easy to use and cost friendly. This project will be working on Internet of Things (IoT), which uses Wi-Fi (802.11) for passing the readings of the system to the Android and desktop application. Wi-Fi enables the project’s abilities and the productivity to magnify at a high level.
Emotions and 21st Century Communication
Authors: Niket Mehta , Suparna Dutta
Published: November 2018

Electronic Media is no more a buzz word now. Almost every educated and semi-educated person all over the world is a part of digital media and access information electronically. Affordable smart phones, electronic gadgets and telecommunication services have made communication fast and multimedia-rich containing text, images, audio-video and animation messages. In this 21st century, digital media has given a democratic opportunity to all of us to become a broadcaster. People discuss online about issues of considerable importance and as well as trivial matters. This online platform has brought out many changes in personality and thoughts of its users and especially of the coming generation. Sharing confidential information and being accessible 24X7 has brought out changes in behavior and manner- ism of new generation. New generation has become more expressive and communicate more than earlier generation. They are connected to more and diverse set of people all at once and every time. Communication which is always based on emotions has changed in current scenario which is the theme of this paper.
DMAIC Approach for Road Wellbeing: A Case Study
Authors: Ravi Shankar Raman Mr. , Himanshu Chauhan Mr. , Ankit Negi3 Mr.
Published: November 2018

The objective of this paper is to implement the DMAIC methodology for finding out the reason for the traffic jam in the NH-24 connecting Delhi, Ghaziabad and Noida and finding out the solution for reducing them. For this survey, we have collected the data of a fixed route for 14 days and implemented various statistical methods for analyzing it. The study, focused on various junctions because these are the points, which are more prone to congestion. It aimed at finding out the critical junction and suggest improvement in them.  As the number of vehicles is on the rise, it is the need of the hour to solve this problem
Enhancing Sub Graph Matching With Set Correlation Technique in Large Graph Database
Authors: Nana Durgade Bharti , K. S. Kadam Prof.
Published: November 2018

As the increase of users in social networking sites gives rise to complex relation between the users, which often leads to understand the group of users with similar taste. Now days, this is a one of the growing research area to find the similar users in the relational graph database. Many systems are been introduced to identify the matching sub graphs using similarity between the users. This often yields not much appropriate results due to strict similarity measures. So proposed system uses a technique of identifying correlation between the users for the fired query using pattern identification by incorporating frequent pattern analysis and Pearson correlation which is catalyzed by strong pruning techniques.
Spectroscopic Studies, Thermal Behaviour and Ac Impedance Study of Chemically Synthesized Silver Doped Polyaniline / BaFe12O19 Polymer Composite
Authors: Vinay K. , Shivakumar K. , T Ravikiran Y. , Revanasiddappa M.
Published: November 2018

The present work is a study of a.c impedance response and thermal behaviour of IPANI/Ag/BaFe12O19 (PAB) composites synthesized by in-situ oxidative interfacial polymerization using (NH4)2S2O8 as an oxidizing agent at 0-50C. The synthesized polymer compo- sites were examined by FT-IR, TGA-DTA and DSC techniques. The a.c conductivity properties of the composites were investigated in the frequency range varying from 5x101 – 5x106 Hz at room temperature using HIOKI make 3532-50 LCR Hi-tester. FT-IR profiles confirm the formation of ferrite composite. The endothermic regions in the DTA pattern are consistent with the change regions in the TG curve. The Cole-Cole plots observed in the form of exact semi-circles clearly suggests the Debye-type relaxation mechanism present in these materials.
Anomaly Detection for RBAC Systems in UNIX/LINUX Environment with User Behavior
Authors: V Shashidhar , D Venkatesulu
Published: November 2018

UNIX and LINUX are popular operating systems because of their free open source. By using RBAC model permissions are allocated based on user roles in UNIX/ LINUX environment. The RBAC model manages the privileges of the user within a system or application. However it is possible for a user to misuse his privileges that are assigned. Misuse of privileges cannot be identified by RBAC as it works based on rules. This paper suggests an anomaly detection technique to detect misuse of privileges. It keeps track of the user behavior and identifies anomalies in user behavior which helps in misuse of privileges.
IoT based Smart Passenger Surveillance System for Airport
Authors: P.Deepa T. , Pradeepa.P Dr
Published: November 2018

Airport security system is mandatory in all developing and developed countries. The major threat to any countryâ€™s economy, health and development is targeted and transported via airports which are evident from the past historical examples. The developments in Science and Technology have improved the methods of surveillance but failed to address few key health issues including privacy. The main objective of this paper is to develop a smart IOT based surveillance systems that is implemented in airport in smart screening without causing any unpleasant disturbances to the passengers. This paper makes use of the recently developed smart sensors, Tiva processor from Texas instruments connected via IOT and cloud and a remote station to effectively secure the airport area and overcoming all the real time challenges.Â
Stress Analysis of Domestic Composite LPG Cylinder Using Classical Lamination Theory (CLT)
Authors: V K N S N Moorthy CH , Srinivas V
Published: November 2018

Conventional Steel Cylinders used for LPG cylinder for domestic applications are not manufactured in a single joint but are welded. While composite cylinders are manufactured in a single joint, Composite components cannot be welded like the steel cylinder. Composite Cylinders are winded using Filament Winding technique. Compared to Steel Cylinders, Composite Cylinders are costlier. As composite cylinders are safer than steel cylinder, composite Cylinders due to a rubber lining inside, they are 100% leak proof. If mass production of composite cylinders are done then the cost may get reduced. This paper summarizes the design and analysis of the manufacturing of Liquid petroleum gas (LPG) Cylinder using Glass Fibre Reinforced Plastic (GFRP) material. The stresses along all the directions of the ply sequence are also calculated using Classical Lamination Theory (CLT).Â  The fibre stresses along all the directional angles were found to be under the required stress limits. The Metallic boss Calculation & angle variation at dome is the key parameter and is carried out and determined the tip radius.Â Â
The Significance of Vedic Science for Artificially Intelligent Systems
Authors: . Anshuman , Kumar Upendra
Published: November 2018

The significance of Vedic Sciences is well proven. Vedic concepts are suitable as well as necessary for an efficient lead in the field of Artificial Intelligence (AI). The concept is very crisp: To lace the man-made machines with the ideology described in the Vedic scriptures, to build a better and smarter society. Well proven concepts to build better machines.Â Â