bluuebunny/crossref_metadata_2025 huggingface dataset:
Calculation of plate-beam systems by method of boundary elements
Authors: Surianinov Mykola , Shyliaiev Oleksii
Published: May 2018

The approach to calculation of plate-beam systems by numerical and analytical method of boundary elements is proposed. The method consists in construction in analytical way a fundamental system of solutions, the Green’s function and external load vector for the problem under consideration. Small system of linear algebraic equations to be solved numerically is constructed to take into account the boundary conditions or contact conditions between separate modules.The series of plate-beam system calculations by methods of boundary elements and finite elements at different geometric parameters of plate was performed to assess the limits of applicability of developed theory. The comparison of 45 variants calculations by both methods is shown.
Efficient carbonaceous sorbent based on the waste sludge of oil extraction industry for purifying wastewater from petroleum products
Authors: I V Starostina , A E Nikitina , M M Kosukhin , Yu.L Starostina
Published: May 2018

The opportunity to use the oil extraction industry waste kieselghur sludge as a raw stuff for carbonaceous sorbent for purifying wastewater from petroleum and petroleum products has been researched. It has been demonstrated that the thermal modification of the waste sludge results in oxidation of organic matter and the formation of a carbon layer on the surface of kieselghur (diatomite), as well as the formation of the obtained material’s porous structure. The maximum values of oil-absorption and petroleum-absorption of the carbonaceous sorbent samples, obtained at various temperatures of the initial waste product treatment, have been determined. The highest petroleum saturation (2 g/g) is observed in the first 5 minutes of the sorbent’s contact with the pollutant and is characteristic of the material, obtained at temperature 500°С. The highest oil saturation (3.6 g/g) is shown by the sorbent, obtained at temperature 450°С. This value was achieved after 30 minutes of the sorbent’s contact with oil. The efficiency of clarifying water-oil emulsion with the concentration 1.5 g/dm3 by using carbonaceous sorbents of various thermal pre-history has been determined. The highest degree of emulsion clarification – 91% was achieved at using the sorbent, obtained as a result of the waste sludge modification at temperature 450°С.
About one decision of the quasiclassical kinetic equation
Authors: S O Gladkov , S B Bogdanova
Published: May 2018

It has been proved that the solution of the quasi-classical kinetic equation for Bose and Fermi statistics can be represented in the general form, using the relaxation time approximation. The general solution found for the distribution function  helps calculate any non – equilibrium characteristics of metals, magnets, and dielectrics in any order of the perturbation theory according to the relaxation time .
Electricity costs for grinding of cement with expanding additives
Authors: Samchenko Svetlana , Zorin Dmitriy
Published: May 2018

The most popular building material, including on transport facilities, is cement. Cement production is associated with the electricity costs. The biggest cost item is the consumption for the cement clinker grinding. It is known that disperse characteristics of cements, such as fineness of grinding, specific surface, coarseness of grading, largely determine their hydraulic properties, and for expanding cements - the deformation ones. In the paper, the issues of electric power consumption were considered when grinding extender expanders: aluminous slag, sulfoaluminate, sulfoferrite and sulfoalumoferrite clinkers.
The use of urban sewage sludge as a substrate in a microbial fuel cell
Authors: Rudenko RR , Vasilevich EE , Zhdanova GO , Chizhick KI , Topchiy IA , Stom DI
Published: May 2018

The possibility of using urban sewage sludge from the silt areas of the sewage treatment facilities of the left bank of Irkutsk as a substratum in microbial fuel cells (MFС) was studied. The characteristics of voltage and current intensity generated by the microbiological preparation "Doctor Robik 109" in MFC without taking into account and taking into account the resistance of the external electric circuit are obtained. It is shown that sewage sludge with the addition of peptone and acetate (without the introduction of microorganisms-bioagents) is also capable of generating electricity. Presumably, this is due to the presence in the sewage sludge of a large number of microorganisms and their spores. An increase in the total microbial number in the investigated wastewater sediments supports the above hypothesis. The carried out researches testify to the prospects of using MFC for municipal sewage sludge utilization.
The use of abrasive wastes in the practice of wastewater treatment from nickel ions
Authors: Porozhnyuk L , Lupandina N , Porozhnyuk E
Published: May 2018

The results of sewage treatment from nickel ions are given in the article. The relevance of the studies is determined by the expansion of the spectrum of effective sorbents-reagents as a result of the use of industrial wastes. Mineralogical and component compositions of abrasive waste are studied. The process of sorption and desorption of nickel ions on the wastewas studied by theconstruction isotherm method and a mixed character of sorption processes with a predominance of physical interactions was established.
Coconut Fiber Strengthen High Performance Concrete: Young’s Modulus, Ultrasonic Pulse Velocity and Ductility Properties
Authors: A. Othuman Mydin M , Mohd Zamzani N
Published: May 2018

This paper emphasis on experimental investigation to govern the engineering properties such as young’s modulus, pundit ultrasonic pulse velocity (UPV) and ductility of High Performance Concrete (HPC) with grade M60 with addition of coconut fibre (CNF) together with silica fume (SF) and pulverised fuel ash (PFA). For this study, 3 mixes were prepared. First was the CNFRC without any additives, secondly the CNFRC made by 10% replacement of cement weight with PFA and thirdly composition of 10% of cement weight was exchanged with SF. It should be pointed out that for each mix; CNF was included in the mixture (0.5% of the mix volume). The investigational results had shown that the Young’s modulus of CNFRC, CNFR SFC and CNFR PFAC enhanced by about 6%, 3%, and 12% correspondingly. In terms of ductility, when control HPC specimens were subjected to axial compressive strength, slight preliminary cracks shaped on the surface of specimens. Among all HPC specimens tested, CNFR PFAC attained the utmost UPV at 28 day.
Effects of Ultrasonication Time on Thermal Stability and Swelling Behaviour of The Commercial Organo-Montmorillonite (O-MMT)
Authors: R.A. Hamid Asna , F. Osman Azlin
Published: May 2018

In this contribution, we report the effect of ultrasonication time on thermal stability and swelling of organically modified montmorillonite (O-MMT) upon ultrasonication in a water medium. In the production of well-exfoliated polymer/clay nanocomposite, ultrasonication was employed as a method to exfoliate and disperse organically modified montmorillonite (O-MMT) platelets prior to melt compounding with the polymer matrix. The suspension of distilled water and O-MMT was magnetically stirred for 2 hours and then ultrasonicated at the different sonicating time, namely, 2 minutes, 5 minutes, 10 minutes, 15 minutes and 20 minutes (min) at room temperature. Thermogravimetry analysis (TGA) suggested that dispersion of the O-MMT by ultrasonication for 5 minutes resulted in thermal stability enhancement without destruction of the organic surface modifier structure and bonding on the clay platelets. X-ray diffraction (XRD) also indicated that application of 5 minutes ultrasonication time has most obviously improved the swelling of the O-MMT platelets. This was further proved by Field emission scanning electron microscope (FeSEM) which revealed greater interlayer spacing within the O-MMT platelets was obtained.
Finding interval estimates involving nuisance parameters
Authors: Chiganova Nadezhda
Published: May 2018

The work establishes the assertions which, in a number of cases, allow to effectively determine the possibility of applying the method suggested in the work of L.N. Bolshev and E.A. Loginov “Interval estimates in the presence of interfering parameters. Probability theory and its application” for constructing interval estimates of unknown parameters.
Works execution organization at reconstruction and renovation of buildings after the fire with usage of slabs lifting method
Authors: E. Zyma O , V. Dyachenko E , I. Pahomov R , M. Zhyhylii S
Published: May 2018

Works execution organization at reconstruction and renovation of residential and public buildings after the fire for embedded systems with usage of slabs lifting method at restrained urban conditions were considered. The paper suggests usage features of the slabs lifting method at building reconstruction conditions after the fire. The technology of reconstruction with the usage of slabs lifting method allows to practically refuse the use of lifting cranes and to reduce significantly (up to 50%) the required building area compared with the lifting crane construction methods of embedded structures. It allows to perform the reconstruction without restriction of traffic on adjoining streets and to perform construction in restrained urban conditions.
About the single system of protection classes of elements of critical information infrastructure by the criteria of importance and information security
Authors: O. Kalashniov Andey , F. Mik     halevich Igor
Published: May 2018

In work on the basis of integration of criteria of elements of importance for critical information infrastructure and information security, and single network security trust model, a single system of protection classes of elements of critical information infrastructure is developed.
Risk assessment of prospective investment projects for the construction of nuclear power plants abroad
Authors: I. Guseva Anna , V. Koptelov Matvey
Published: May 2018

The article deals with the development of nuclear energy, classification of risks, approaches to risk assessment of investment projects of NPP construction abroad. Presented integrated methodology for assessing the risks of nuclear investment projects is based on the recommendations of the United Nations Industrial Development Organization (UNIDO), the International Atomic Energy Agency (IAEA), the sectoral methodological recommendations of the State corporation Rosatom. A way of accounting for risks in the calculation of economic efficiency is proposed. Calculations have been made for several real NPP construction projects (Rooppur NPP in Bangladesh, Astravets NPP in Belarus, Hanhikivi NPP in Finland). Analysis of the results of these projects shows that, taking into account all types of risks, its investment attractiveness has significantly decreased.
Synthesis and Mechanical Characterization of Micro B4C Particulates Reinforced AA2124 alloy Composites
Authors: N Fazil , V Venkataramana V , Nagaral Madeva , Auradi V
Published: May 2018

In the current era of aerospace, automobile and other various industries, light weighed aluminium metal matrix composites plays a very major role. Metal matrix composites are composed of base material as metallic which is reinforced with ceramic particulate as reinforcement material. This paper consists of the preparation of micro composites by two step stir casting process by the addition of B4C particulates (80-90µm) into the AA2124 matrix by varying different weight percentages of 3% and 6% at a temperature of 730-750˚C. Further once the composites are prepared are subjected to characterization, the SEM revealed that there is good uniform distribution of micro particles in the aluminum by exhibiting a good bonding with matrix and EDS confirmed the presence of B and C elements. Different properties were evaluated like density, hardness, ultimate tensile strength and yield strength which revealed that there is an increase in the mechanical properties than compared to the base metal.
Arsenic and Heavy Metals Contamination of Soils Around Oyu Tolgoi and Tavan Tolgoi Mines, Located in The South Gobi Desert of Mongolia
Authors: Ragchaa Galbadrakh , Enkhbat Temujin , Lkhamsuren Enkhtor
Published: May 2018

In this work inductively coupled plasma - mass spectrometry (ICP-MS) method was used to determine content of harmful to human health heavy elements such as As, Cd, Cr, Pb, Th, U, and other essential elements Zn, Cu, Ni in soil samples collected around fence of two largest in Asia copper (Oyu Tolgoi) and coal (Tavan Tolgoi) deposits. The analyses revealed average content of arsenic in the examined soil samples is exceeding 1.4 times the maximum permissible limit. It is consistent with many previous studies emphasizing on a high occurrence of arsenic in soils, well waters of North and Central Mongolia. But the contents of copper in soil samples collected from three leeward locations of the copper mine Oyu Tolgoi are up to 2.18 times higher than the maximum permitted content established by the government standard of Mongolia. The contents of Cd, Ni, Pb, U, and Zn in soil probes collected from leeward locations of Ukhaa Khudag open pit mine of Tavan Tolgoi coal deposit are higher than that of in probes collected from the windward side of that by factor ranging from 1.34 to 1.64. These facts indicate possible transport and spread of heavy elements by wind from these intense operating open pit mines into adjacent dry and windy deserted region of Mongolia.
Hilbert diagnostics of convective structures and phase transition in super cooled water
Authors: N. Dubnishchev Yu. , A. Arbuzov V , V. Arbuzov E , S. Berdnikov V , S. Melekhina O , V. Sotnikov V , A. Shibaev A
Published: May 2018

The evolution of the crystallization wave front and convective structures in a horizontal layer of supercooled water bounded by tempera- ture-controlled flat surfaces is visualized using methods of Hilbert optics. The phase transition is manifested by the occurrence of a crys- tallization wave and is accompanied by a positive energy release, which, in turn, affects the dynamic distribution of the optical phase density gradient in supercooled water and induces phase perturbations in the probing light field. The results of measurements of the phase velocity and the shape of the crystallization front approximated by Bezier curves are presented. The wave front velocity is obtained using modified time-of-fight method. The phase velocity field is found to exhibit spatio-temporal quasi-periodicity that can be related to the existence of oscillatory phenomena in the crystallization process.
Use of saturated green material in vaporic thermal atmosphere to absorb ions have negative impact
Authors: Ali Mahmood Karwi Abbas , Mohammed Abdullah Eman
Published: May 2018

This design has been used to adsorb ions from industrial water of companies and factories. Our system has three integrated phases used to test efficiency of an unspecified number of residues of food as adsorbed materials. In this system, we adsorb copper and cobalt ions, these ions are available with high rates in Al Musayab thermal station, high concentration of these ions pose a threat to the health of the population. In general, the presence of these ions in the proportions set by the World Health Organization, namely, (1mg/L) are very useful for the com-pletion of the metabolic processes of the living cell, but a greater focus for this will lead to tremendous health risks. Testing processes a proved that there is an exact match between empirical and theoretical testes of (Freundlich and Langmuir) models. Through the mathematical analysis of the trial data under different thermal conditions, all testes proved that green algae powder is the best filtered material, because its high adsorption efficiency which equal to (77%) with Gips free energy equal to (-39 kJ/mol), followed by Pulp date powder has proven to be excellent efficiency (75%) with enthalpy equals to (-12 kJ/mol). In general, all food remnants have been selected to be test in our adsorp-tion system, this system has high capacity to adsorb various ionic roots of industrial water of Al-Musayab thermal station. All Adsorbents have thermal coefficient falls between one and zero (one<RL<0), this value represents the perfect choice of adsorption to be tested on this system. The total system cost is ($10000).
Features of the structure active centers of industrial catalysts for the oxidative chlorination of ethylene
Authors: Kurta Sergiy , Mykytyn Ihor , Ribun Victoria , Khatsevich Olga
Published: May 2018

The active phase of CuCl2, HСuСl2, H2СuСl4 and two grades of industrial ethylene oxidation chlorination catalysts (EOC) such as deposited catalyst X1 (Harshow), with copper chlorides supported on an alumina surface, and a permeated MEDC-B catalyst immobilized in the internal pores of the firm of the company Sud-Chemie. Catalyst were analyzed by the method of thermoemission electronic raster (VEGA3NTSCAN) microscopy and X-ray fluorescence energy dispersion spectroscopy (EDX-7000). It is shown that the active catalyst centers of CuCl2 have different crystalline structure from the amorphous active phase of H2CuCl2, H2CuCl4 on the surface of the catalysts. On the surface of X1 Harshow copper chlorides are uniformly distributed throughout the volume of the carrier catalyst γ-Al2O3 in the form of amorphous portions [CuCl4]-2, [CuCl2]-1. At the same time, on the surface of the catalyst MEDC-B, the active centers have a separate cluster immobilized crystalline structure of the active phase, which differs from the composition of the carrier γ-Al2O3.
Copper recovery from chalcopyrite flotation plant tailings acid leach using ion exchange resin dowtm XUS 43578.00
Authors: M. Mashingaidze Melvin , N. Shifotoka Catherine
Published: May 2018

This study examined the feasibility of recovering copper from a sulphuric acid leach solution of chalcopyrite flotation plant tailings assaying 0.18 % copper and 0.19 % zinc using DOWTM XUS 43578.00 ion exchange resin. Zn2+cations are counter ionsto Cu2+cations during the ion exchange process. Adsorption and desorption tests were conducted on the resin with a leach solution containing26 mg Cu/L and 225 mg Zn/L,under various conditions of pH, DOWTM XUS 43578.00resin dosage, agitation time and eluant(ammonium hydroxide solution) concentration. The DOWTM XUS 43578.00resindemonstrated a high selectivity for copper over zinc, with a separation factor of 30.26 mg/g. The highcopper distribution coefficient of65L2/g2suggeststhe resin can effectively concentrate copper in leach solutions of these particular tailings.A 4M ammonium hydroxide solution yielded the highest copper recoveryat pH 3and0.6gresin dosageafter3hours of agitation. These results can be improved by a pre-treatment step to remove the zinc before the copper ion exchange process, and modifying the experiments to simulate industrial practice by having multi-stage sorption and desorption phases.
Travel demand estimation through corridor level analysis for hyderabad metro rail
Authors: Shekar Lokku Prashanth , Prasad Csrk
Published: May 2018

Urbanisation around the world is occurring in a rapid manner. Due to which peoples’ lives are in measurable situation like damaging the environment via increase in usage of private vehicles. In this line, transportation engineering plays a vital role in terms of sustainable development. Sustainability is the term used for balancing the three main components like social, environment and economic; not to trouble much of natural resources so as to preserve them for the future generations. To address the problems related to the transportation like traffic congestion, increase in pollution etc., Mass Rapid Transit System (MRTS) is the best alternative. To plan the MRTS in urban areas, it is necessary to estimate the travel demand, so as to fulfil the financial viability criteria.Corridor level analysis is performed to estimate the travel demand for Hyderabad Metro Rail, India. Multinomial Logit model (ULOGIT) is used to obtain the probability of MRT desired upon various modes. The results revealed that there would be adequate demand for the proposed MRT if the MRT could have double fare than that of bus fare and has half of the travel time to that of the current bus.
Plastic tension of porous plates due pure bending
Authors: H L Levonyan , S V Verlinski , A G Tyagunov , D A Tarasov
Published: May 2018

The bending of the plate from rigid-plastic hardening material in the condition of plane deformation is investigated by analytical and numerical methods. Based on equations of the theory of plasticity of the porous materials the solution of the problem is lead to integration of the nonlinear differential equation regard to radial stress. The position of neutral axis is defined by numerical integration and the stress strain state components are received. Graphics of stress components and porosity changing are constructed on the height of the plate. The same problem simulated in ABAQUS software with the help finite element method. The results are compared.
Treatment for Scoliosis Using Pneumatic Control System
Authors: Mohana Lakshmi A , Jofiny Sharon , Sindhuja P , V.Jason Jebasingh G , Suresh Chander Kapali B
Published: May 2018

Now a day’s curvature of spine is a common problem from babies to adults. In this paper, a wearable brace is used to provide patient to overcome from scoliosis by wearing braces with controlled pressure. Scoliosis is one of the spine diseases, the spine will be in S shape or C shape, in some degree of curve. But mostly occurs in Juvenile stage (3-10 years) and also women face this problem. It can be cured by a proper treatment by wearing a brace. The pressure control system is microcontroller. Bracing is a common non-surgical treatment for scoliosis, more often the patient wear their braces to the prescribed tightness. It works by applying corrective pressure on the outer side of curve and cutting out respective areas of relief to inner side of curve ,so the spine can migrate in that direction. The pressure control device was developed to understand brace wear time and regulate a target pressure range. The pressured data is transmitted to the central processing station. The effectiveness of our system is to monitor the development of posture of spine by wearing braces with controlled pressure.
A Design of Multichannel Data Transmission Through Power Line Communication
Authors: Kavitha A , Prabhu V , Ruban Thomas D , Banupriya D , Dharanya S , Roobini M
Published: May 2018

Smart Metering in the power grid is the present popular technology in and around the world.  Future Generation is requiring new method for data transfer. This paper introduces a novel method called Power Line Communication (PLC) transceivers. PLC has many number of smart grid applications. This work proposes  mainly about the transmission of data’s through Power Line.   This work includes both electrical and electronic concept. Here, transmission process takes place through electrical line by using electronic equipment. This paperaddresses the important role of  transferring data’s from one place to other. In this concept, dc loads are controlled by giving commands through power line. This work does not require additional medium for transmitting data’s. This paper reduces the human efforts and systematic transmission takes place.  In this work, data transmission through power line communication takes place by passing constant 5v. Hence fluctuations are avoided in PLC transceivers, this protects the electronic device and dc load from damage.  Here the dc loads are operated by giving ON and OFF commands.  These commands can be coded in binary form or it can also be variables.  Voltage sensors are used for sensing the current at the receiver (dc loads).  The current which is sensed by the sensors are stored by using batteries. These currents can be retrieved for future use. This paperprovides advancement in data transmission process for future generation.
Design of Compresion Sensor by Zno Substrate using Precipitation Method
Authors: Kavitha A , N.Swaminathan J , Ashok Kumar N
Published: May 2018

The Zinc Oxide nanoparticles are synthesized by the precipitation method using zinc acetate dehydrate and sodium hydroxide. The significance of characterization techniques like AFM, SEM, FTIR Spectrum and XRD for the prepared nanomaterial is studied. The prepared nanoparticles are used to improve the electrical  conductivity of dielectric polymer like PMMA. Polymer metal Nano composites are prepared by in-situ oxidative polymerization of Methyl methacrylate monomer in the presence of different concentration of prepared metal nanoparticles. The electrical conductance is investigated using multimeter. The conductivity of the dielectric polymer is found to be increased with the increasing semiconductor concentration. Based on the result the prepared Nano composites can be used to convert the insulating foam into conductive one which can used to fabricate compression sensor.
Disease Risk Prediction using SVM based on Geographical Location
Authors: A R Abarna , Umamakeswari A
Published: May 2018

Nowadays, people get more useful information from the internet and other technological platforms like social media. Plenty of health-care related information is available in social media where people spend more time in it. The existing methodology doesn’t include location in particular the user similarity based on the attributes. The proposed method specifies the assessment of disease risk by Support Vector Machine (SVM) algorithm to identify the similarity between the users based on the geographical location and then recommends the health expert to the users. This method also identifies the fake users and validates them. The health-care associated with big-data can be performed effectively in the proposed framework. The experimental output shows that the proposed method is more effective when compared with Collaborative Filtering based Disease Risk Assessment.
IOT Based Wheeled Robotic Arm
Authors: V Abhilash , K.Mani P
Published: May 2018

The Internet of Things (IoT) is one major field which is fast developing now a days. The IoT means the connection or controlling of an equipment using internet. The another field everyone attracted is towards the robotics. Everyone wants to use a robot because they can do things what we can only imagine to do so. Here in this project we are blending the IoT with the robotics. The robot is controlled by the IoT here. The robot used here is the wheeled robot. Because it is easy to use a wheeled robot in a smooth and hard surface, and it is more energy efficient than the legged robot. The basic motive of the robot here is to pic and place an object from one place to another. This paper discuss about the pick and place wheeled robotic arm which is controlling using the Internet of Things.
Sentiment Analysis using Logistic Regression and Effective Word Score Heuristic
Authors: Tyagi Abhilasha , Sharma Naresh
Published: May 2018

Sentiment Analysis is a method for judging somebody's sentiment or feeling with respect to a specific thing. It is utilized to recognize and arrange the sentiments communicated in writings. The web-based social networking sites like twitter draws in a huge number of clients that are online for imparting their insights in the form of tweets or comments. The tweets can be then classified into positive, negative, or neutral. In the proposed work, logistic regression classification is used as a classifier and unigram as a feature vector. For accuracy, k fold cross validation data mining technique is used. For choosing precise training sample, tweet subjectivity is utilized. The idea of Effective Word Score heuristic is likewise presented to find the polarity score of words that are frequently used. This additional heuristic can speed up the classification process of sentiments with standard machine learning approaches.
A Robust Image Watermarking Method based on Contourlet Transform for Correcting Geometric Attacks
Authors: M Abhinaya , Umamakeswari A
Published: May 2018

A watermarking technique is proposed using Discrete Wavelet Transform (DWT), Discrete Cosine Transform (DCT), and Singular Value Decomposition (SVD) techniques to implement information hiding. Embedding can be done by dividing the host image into four rectangular segments which are non-overlapping called sub-images using hybrid scheme. Redundancy reduces cropping attack. The main aim is to reduce the effect of geometric bouts, such as rotation, translation, and affine translation using synchronization technique. Watermarks can be a binary random sequence of different lengths. Data replication and hamming code are two error modification methods utilized in the proposed scheme. Achieved results show comparable robustness against geometric attacks and signal processing. Contourlet transform can be used to improve the visual feature of the image. After embedding the image or data, contourlet transform is applied in the frequency domain to improve robustness. The optimal mapping function is obtained using contourlet transform which increases Peak Signal to Noise Ratio (PSNR) and hiding capacity with low distortion.
Fatigue Detection Using Raspberry Pi 3
Authors: Chellappa Akalya , Sushmanth Reddy Mandi , Ezhilarasie R , Kanimozhi Suguna S , Umamakeswari A
Published: May 2018

Driver drowsiness is a primary cause of several highway calamities leads to severe physical injuries, loss of money, and loss of human life. The implementation of driver drowsiness detection in real-time will aid in avoiding major accidents. The system is designed for four-wheelers wherein the driver’s fatigue or drowsiness is detected and alerts the person. The proposed method will use 5-megapixel Raspbian camera that captures driver’s face and eyes and processes the images to detect driver’s fatigue. On the detection of drowsiness, the programmed system cautions the driver through an alarm to ensure vigilance. The proposed method constitutes of various stages to determine wakefulness of the driver. According to this output, the warning message is generated. Haar Cascade Classifiers is used to detect the blink duration of the driver and Eye Aspect Ratio (EAR) is calculated. Finally, the alert message along with car plate number is sent to the concerned person mobile with help of Ubidots cloud service and Twilio API. For this Raspberry Pi 3 with Raspbian (Linux Based) Operating System is used.
Real Time Object Detection using CNN
Authors: Tripathi Akash , V. Ajay Kumar T , Kanth Dhansetty Tarun , Selva Kumar J
Published: May 2018

Achieving new heights in object detection and image classification was made possible because of Convolution Neural Network(CNN). However, compared to image classification the object detection tasks are more difficult to analyze, more energy consuming and computation intensive. To overcome these challenges, a novel approach is developed for real time object detection applications to improve the accuracy and energy efficiency of the detection process. This is achieved by integrating the Convolutional Neural Networks (CNN) with the Scale Invariant Feature Transform (SIFT) algorithm. Here, we obtain high accuracy output with small sample data to train the model by integrating the CNN and SIFT features. The proposed detection model is a cluster of multiple deep convolutional neural networks and hybrid CNN-SIFT algorithm. The reason to use the SIFT featureis to amplify the model‟s capacity to detect small data or features as the SIFT requires small datasets to detect objects. Our simulation results show better performance in accuracy when compared with the conventional CNN method. As the resources like RAM, graphic card, ROM, etc. are limited we propose a pipelined implementation on an aggregate Central Processing Unit(CPU) and Graphical Processing Unit(GPU) platform.
Survey on Detection of Metal Illnesses by Analysing Twitter Data
Authors: Sundarrajan Aksharaa , Aneesha M
Published: May 2018

Mental illnesses are serious problems that places a burden on individuals, their families and on society in general. Although their symptoms have been known for several years, accurate and quick diagnoses remain a challenge. Inaccurate or delayed diagnoses results in increased frequency and severity of mood episodes, and reduces the benefits of treatment. In this survey paper, we review papers that leverage data from social media and design predictive models. These models utilize patterns of speech and life features of various subjects to determine the onset period of bipolar disorder. This is done by studying the patients, their behaviour, moods and sleeping patterns, and then effectively mapping these features to detect whether they are currently in a prodromal phase before a mood episode or not.
Vision based Office Automation and Security System using Machine Learning and Internet of Things
Authors: Goel Amber , Khurana Apaar , Sehgal Pranav , Suganthi K
Published: May 2018

The paper focuses on two areas, automation and security. Raspberry Pi is the heart of the project and it is fuelled by Machine Learning Algorithms using Open CV and Internet of Things. Face recognition uses Linear Binary Pattern and if an unknown person uses their workstation, a message will be sent to the respective person with the photo of the person who uses the workstation. Face recognition is also being used for uploading attendance and switching ON and OFF appliances automatically. During un-official hours, A Human Detection algorithm is being used to detect the human presence. If an unknown person enters the office, a photo of the person will be taken and sent to the authorities. This technology is a combination of Computer Vision, Machine learning and Internet of things, that serves to be an efficient tool for both automation and security.
Encryption analysis of AES-Cipher Block Chaining performance in Crypto-Wall Ransomware and SDN based mitigation
Authors: Pillai Anish , S. Vasanthi M , Kadikar Ruturaj , Amutha B
Published: May 2018

The arrival of affordable high speed internet and superior computing processors has given the ability to access a novel environment of opportunities and challenges at an individuals fingertips. Sectors of education, administration, business, medical and corporate have been revolutionised by this latest onset of technology. With the arrival of IoT (Internet of Things), the number of devices that are connected to the internet will be higher than ever before. Along with this increase, the diversity of threats propagating on the internet will see a comparable increase. These threats are designed in a way to alter the integrity of the data, embed itself into other programs for further propagation and also to gain monetary compensation. In recent times, the popular malware which has made headlines worldwide is ransomware. This type of malware infection uses complex encryption of user specific files and demands a ransom for retrieval of these files. Modern ransomware behaviour indicates propagation of the malware from the host victim to other computers and shared drives within its network. This paper contains in- detailed analysis of ransomware and the currents trends of this malware. The time taken for CryptoWall ransomware encryption using AES- CBC is observed for various data sizes and a SDN approach for ransomware threat mitigation is discussed.
Modified Cascaded H-Bridge Multilevel Inverter using Trinary DC source
Authors: Prashant Diwan Anuja , Booma Nagarajan N , Murugan T , Ashrafudeen S , J. Jenito Paul G
Published: May 2018

In this paper, single phase nine level cascaded multilevel inverter using trinary voltage source is described. Normally for getting nine level MLI output, four H-Bridges are required. But in proposed method, nine level output is achieved by using two H-Bridges only. Performance of Multilevel inverter is improved by using modular switching pattern. This method reduces the number of switches to the half and thus reduces switching losses. Since the number of levels at the output voltage is increased, Total Harmonic Distortion (THD) gets reduced significantly. This presents simple configuration is simple and can be controlled easily. MATLAB-SIMULINK is used to validate the results of proposed technic, simulation is carried out using. The proposed method has been exhaustively compared with classical cascaded H-Bridge topology.
Comparative Study of Optical Response of Semiconductors Using FDTD Method
Authors: . Anushka , Aruna Priya P
Published: May 2018

Materials exhibit different properties at nanoscale than at visible-scale due to predominance of quantum effects. For solar cell applications, a nanostructure of particular interest is the nanowire. Free and open-source FDTD (Finite-Difference Time-Domain) software is used to simulate and study optical response of semiconductor materials both in the absence and presence of metal nanowires in 400 nm - 500 nm wavelength range. The results indicate enhancement in optical response of semiconductors in the presence of nanowires. Best enhancement for silicon can be obtained by using combinations of silver and gold nanowires, and this result can be used to improve the efficiency of solar cells.
Single Stage Boost Integrated High-Frequency Full Bridge Inverter for Induction Heating System
Authors: Prakash Jayachandran Arul , Nagarajan Booma , Akshaya R , Jemima A Mabel , S Asaipriyan
Published: May 2018

This paper proposes a new single-stage boost high frequency ac series resonant power inverter for high frequency induction heating (IH) applications. The proposed ac-ac converter consist of a single stage boost (SSB) converter and full-bridge ac series resonant inverter integrated circuit with a ac source voltage control strategy by controlling the inverter switches. The Simulink model is developed using MATLAB simulation software and the simulated results are examined. The output power is maintained to the required level by using phase shift control strategy and the simulated results are validated.
Design and Analysis of the Independent Communication Module for LESPA- Lunar Electric Surface Potential Analyzer
Authors: Prakash Arunima , R. Marur Diwakar , Namdeo Sakshi
Published: May 2018

Moon, our closest celestial neighbor and Earth’s only natural satellite is of utmost scientific importance. So far there have been 67 missions to the Moon, thus to enhance and aid further research understanding of lunar surface is vital. The Moon meets the Earth’s magnetotail (an extension of Earth’s magnetosphere) twice in a month encountering a gigantic sheet of ionized particles or plasma. These charged particles intersperse on the lunar dust and give it a negative charge. The electric field created by this phenomenon creates a substantial potential difference across the two sides of the lunar surface. Electrified dust grains can adhere to machinery and the large electric fields can affect electronics of landers or payload machinery. A payload is proposed Lunar Electric Surface Potential Analyzer (LESPA) to measure the effects of these magnetotail crossings. LESPA will need to establish a low BER link with the in-orbit lunar satellite at optimum frequencies to relay the raw data. This paper aims to analyze and study the link budget requirements for designing an Independent Communication Module (ICM) for LESPA as well as antenna models for the transmitter. The scope of the designed ICM is to ultimately assist in designing lander missions for future lunar exploration and aid in future lunar exploration missions and colonization activities.
Advanced firewall mechanism with OpenFlow in SDN
Authors: Phatak Ashutosh , Vijayan K , Kadikar Ruturaj , Amutha B
Published: May 2018

In recent years, penetration of Internet in the world is significantly increased due to technologies that enabled high speed broadband     services, social networking and cloud based services. There is considerable increase in the number of users getting connected and hence large amount of user’s vital data are flowing over Internet attracting serious threats and possible attacks from malicious users. To secure this free-flowing data, many security solutions have been presented, validated and implemented. But the majority of them are             implemented with traditional networking techniques which itself is complex and hard to manage. This techniques primarily relies on manual configuration of devices which often results in policy conflicts that compromises network’s security. This problem is addressed by Software Defined Networking, which breaks vertical integration by separating the control logic and data forwarding functionality, allowing flexible network architecture, network-wide visibility, simpler network management, etc. OpenFlow is the open standard that enables secure communication between controlling devices and data forwarding devices. In this paper, we propose and validate an approach to implement network-wide firewall in SDN by exploiting capabilities of OpenFlow standard to restrict flow of malicious and suspicious traffic flow in the network.
Survey on Early Detection of Autism Using Data Mining Techniques
Authors: Ida Seraphim B , Samuel Rao Lavi , Joshi Shiwani
Published: May 2018

The children of today are the future of the nation and there are many hurdles in their development like ASD.ASD (Autism Spectrum Disorder) is a neurological disorder which has a lifetime impact on the basic skills and talents of a human being. The foremost goal of the paper is to know the number of people suffering from autism and the various symptoms of autism.
A Preference-Based Supervising of Virtual Machines in Cloud Environment
Authors: Ezhilarasi B , Padmakumari P , Umamakeswari A
Published: May 2018

Cloud Computing is a well-known technology in today’s world. A large number of users are benefited from the cloud services. The cloud computing must provide efficient service on time for customer satisfaction. So, prominent resource monitoring and scheduling techniques are needed. To achieve the customer satisfaction and to reduce the communication overhead, a method called Resource Supervisor (RS) is proposed. The proposed algorithm assigns the preference for the tasks having highest length, monitor the status of the resource and schedule the tasks to various resources quickly. The proposed method is implemented using Cloud Simulator, and experimental results are validated by comparing RS method with existing algorithms, which provides better outcomes and reduces the communication overhead.
Routing for Mobile UWSN: A Survey
Authors: Priyalakshmi B , Mahalakshmi K
Published: May 2018

Recently Underwater Wireless Sensor Networks (UWSNs) is now emerging as a important research area to explore underwater environments and its resource. Underwater wireless senor nodes are utilized for extensive variety of uses, for example, checking the marine condition for scientific to commercial investigation and coastline surveillance to underwater contamination observing, from water-based calamity preventions to water-based games facilitation. Due to the unstable underwater environment there is a need to increase the scalability and reduce the energy consumption. Connectivity and Coverage are the important properties that decide the proper detection and communication in UWSN. Many researchers have introduced the routing protocol which deals with mobility of node but the research investigation needs further advancement to model a powerful routing algorithm which control movement of the node. In this paper the literature survey on different routing protocol for mobile UWSN are discussed.
Dynamic Selection of Optimal Cloud Service Provider for Big Data Applications
Authors: V Ram Naresh Yadav B , Anjaiah P
Published: May 2018

Big data analytics and Cloud computing are the two most imperative innovations in the current IT industry. In a surprise, these technologies come up together to convey the effective outcomes to various business organizations. However, big data analytics require a huge amount of resources for storage and computation. The storage cost is massively increased on the input amounts of data and requires innovative algorithms to reduce the cost to store the data in a specific data centers in a cloud. In Today’s IT Industry, Cloud Computing has emerged as a popular paradigm to host customer, enterprise data and many other distributed applications. Cloud Service Providers (CSPs) store huge amounts of data and numerous distributed applications with different cost. For example Amazon provides storage services at a fraction of TB/month and each CSP having different Service Level Agreements with different storage offers. Customers are interested in reliable SLAs and it increases the cost since the number of replicas are more. The CSPs are attracting the users for initial storage/put operations and get operations from the cloud becomes hurdle and subsequently increases the cost. CSPs provides these services by maintaining multiple datacenters at multiple locations throughout the world. These datacenters provide distinctive get/put latencies and unit costs for resource reservation and utilization. The way of choosing distinctive CSPs data centers, becomes tricky for cloud users those who are using the distributed application globally i.e. online social networks.  In has mainly two challenges. Firstly, allocating the data to different datacenters to satisfy the SLO including the latency. Secondly, how one can reserve the remote resource i.e. memory with less cost. In this paper we have derived a new model to minimize the cost by satisfying the SLOs with integer programming. Additionally, we proposed an algorithm to store the data in a data center by minimizing the cost among different data centers and the computation of cost for put/get latencies. Our simulation works shows that the cost is minimized for resource reservation and utilization among different datacenters.
Angle and Scale Invariant Template Matching for Handling Image Distortions
Authors: J Badrinaathan , N.B.Srinivas L
Published: May 2018

Template matching is a diagnostic approach for detecting a patch of a template image in a given source image. This plays a vital role in multitudinal computer vision applications. In this paper, we propose a methodology that makes the naive template matching algorithm scale and angle invariant during the image recognition process where the source and template is converted to gray scale which makes the technique enhance its proficiency. The proposed algorithm handles the arbitrary modulations of the image patch with respect to size and angle by an exhaustive search of all combinations of sizes are done along with populous combinations of angles. The images adapted are subjected to certain filtering and convolution methods which deepens the quality of the images which in turn assists in retrieving the features with accuracy. The image intensities are adjusted using histogram equalization to enhance the image contrast. These images are then subjected to perform template matching using normalized cross correlation to measure similarity between those two images.
Fast and Adaptive Detection of Pulmonary Nodules in Thoracic CT Images Using a Contextual Clustering Based Region Growing
Authors: R Bhakkiyalakshmi , P Ponnammal , M K Srilekha , Sai .K Abhishikt
Published: May 2018

For segmenting the Region of interest and for analyzing each area separately to locate whether pathologies present in it or not, we use segmentation process as the first step to diagnose lung image using ComputerAided Diagnosis.  In this paper, ROI is segmented by using supervised Contextual Clustering in addition to the Region growing algorithm. Accurate segmentation of the lungs from the chest volume is obtained from the Contextual clustering which is better than all other thresholding approaches that are simple. Initial Nodule Candidates can be detected and segmented effectively by contextual clustering which is considered to be the most effective approach when compared to the remaining approaches present.We combine rule-based filtering and a feature based support vector machine using which we can reduce the False-positives (FP) ,custom CNN, Alex net, neuro-fuzzy classifier.