bluuebunny/crossref_metadata_2025_split huggingface dataset:
Sequence of residential building construction in 99 days
Authors: Durgalakshmi S , Mahendran K 
Published: May 2018

Time management is one of the vital key factor in the project management of any construction project. Effective planning, scheduling & control of construction project resulted in the reduction of construction time, cost overrun and disputes. Not only effective planning, but also proper organization & sufficient flow of resources to a project can automatically achieve a good result when preliminary works has been done for each & every activity. The study area mainly focuses on the execution of work as it is scheduled before the commencement of construction. This paper describes the sequence of residential building construction (G+2) in 99 days has been executed as a real time project and achieved the completion in 99 days. For normal construction of (G+2) may be completed in 180days, but this project completed in 99 days by using the technique called Task Based Activity Execution (TBAE) to the labours. During execution, delays are observed and overcome by using the preliminary works for the next activity. The sequence of construction discussed here will definitely enhance the project planning skills for the forthcoming project.
Classification performance assessment in side scan sonar image while underwater target object recognition using random forest classifier and support vector machine
Authors: Kumudham R , Rajendran V , . . 
Published: May 2018

Ocean mine have been a major threat to the safety of vessels and human lives for many years. Identification of mine-like objects is a pressing need for military, and other ocean meets. In mine, countermeasures operations, sonar equipment are utilised to detect and classify mine- like objects if their sonar signatures are similar to known signatures of mines. The classification of underwater mines is an important task, for the safety of ports, harbors and the open sea. Mine detection is needed in military applications because it has been a threat to many lives and vessels. Although the task of finding mine like objects has received recent attention, very little has been published on the problem of discriminating mine-like (target) objects (MLO) and non-mine like (target) objects of similar size and shape. This paper deals with the recognition of mine like and non mine like objects. The recognition is done through robust Random Forest technique.
Effective processing of unstructured data using python in Hadoop map reduce
Authors: Kousalya K , Javed Parvez Shaik 
Published: May 2018

In present scenario, the growing data are naturally unstructured. In this case to handle the wide range of data, is difficult. The proposed paper is to process the unstructured text data effectively in Hadoop map reduce using Python. Apache Hadoop is an open source platform and it widely uses Map Reduce framework. Map Reduce is popular and effective for processing the unstructured data in parallel manner. There are two stages in map reduce, namely transform and repository. Here the input splits into small blocks and worker node process individual blocks in parallel. This map reduce generally is based on java. While Hadoop Streaming allows writing mapper and reducer in other languages like Python. In this paper, we are going to show an alternative way of processing the growing unstructured content data by using python. We will also compare the performance between java based and non-java based programs.
Tri-Chrominance Texture Pattern: A New Feature Descriptor
Authors: I.Jeena Jacob Dr , K.G.Srinivasagan Dr , S. Gomathi Dr , Joyce Beryl Princess Ms , P.Betty Ms , P.Ebby Darney Mr 
Published: May 2018

Feature extraction plays a vital role in the information management system. This paper proposes Tri-Chrominance Texture Pattern (TCTP), a feature descriptor for extracting the features from images. This pattern helps to extract the inter-channel chrominance relationship, along with texture information of the image. The analysis were done in a natural image dataset, Corel database (DB1), pure colored texture database, Colored Brodaz Texture database (DB2) and a biometric dataset, Indian Face Image database (DB3). The proposed work outperforms the existing works in all the datasets. The analysis on DB1 shows significant improvement over the previous works like Local Binary Pattern (LBP) (78.64%/57.35%), Local Tetra Pattern (LTrP) (79.84%/56.8%) and Local Oppugnant Color Texture Pattern (LOCTP) (82.64%/58%) as 83.25%/58.2% in terms of Average Precision/ Average Recall. The analysis made in the Colored Brodaz database (DB1) shows the result of TCTP as improved from LBP (91.75%/75.18%), LTrP (91.64%/76%) and LOCTP (99.21%/89.38%) to (99.8%/93.47%). The Average Recognition Rate (ARR) of face recognition in DB3 database using the proposed work shows considerable improvement from LBP (78.2%), LTrP (91.9%) and LOCTP (89.1%) as 88.5%. The computational complexity of the proposed work is much lesser than LTrP and LOCTP.
State model based face mask detection
Authors: M Kavitha , Mansoor Roomi S Mohamed , Priya K , Devi K Bavithra 
Published: May 2018

The Automatic Teller Machine plays an important role in the modern economic society. ATM centers are located in remote central which are at high risk due to the increasing crime rate and robbery.These ATM centers assist with surveillance techniques to provide protection. Even after installing the surveillance mechanism, the robbers fool the security system by hiding their face using mask/helmet. Henceforth, an automatic mask detection algorithm is required to, alert when the ATM is at risk. In this work, the Gaussian Mixture Model (GMM) is applied for foreground detection to extract the regions of interest (ROI) i.e. Human being. Face region is acquired from the foreground region through the torso partitioning and applying Viola-Jones algorithm in this search space. Parts of the face such as Eye pair, Nose, and Mouth are extracted and a state model is developed to detect mask.
An enhanced constraint based technique for frequent itemset mining in transactional databases
Authors: Sivakumar Ramah , J.G.R. Sathiaseelan Dr 
Published: May 2018

Mining frequent patterns is one of the wide area of research in recent times as it has numerous social applications. Variety of frequent patterns finds usage in diverse applications and the research to mine those in an optimized way is an important aspect under consideration. So far, many algorithms had been proposed for mining frequent itemsets and each has their own pros and cons. The basic algorithms used in the process are Apriori, Fpgrowth and Eclat. Many enhancements of these algorithms are ongoing process in recent times. In this paper, an enhanced Varied Support Frequent Itemset (VSFIM) algorithm is proposed which is an enhancement of FPGrowth algorithm. Unique minimum support for each item in the transaction is provided and then mining is done in the proposed approach. The performance of the proposed algorithm is tested with existing algorithms. It is found that VSFIM outperformed the existing algorithms in both processing time and space utilization.
Fungicidal and antibacterial activity of the hydrogel compositions with silver
Authors: V. Smagin A , V. Smagina M , B. Kolganihina G , B. Sadovnikova N , Y.Gulbe A , S. Bashina A 
Published: May 2018

Contamination of the rhizosphere by pathogenic microorganisms is a universal soil-ecological problem leading to heavy losses in tuber and root crop yield of agricultural crops. Suppression of these microorganisms is possible because of special gel compositions with silver ions and nanoparticles as plant-protecting agents. An efficiency test of gel-silver inhibitors was carried out on two common pathogens, the causative agents of late blight (Oomycete Phytophthora infestans) and black leg of potato (Enterobacterium Pectobacterium atrosepticum). The study revealed an exponential relationship between inhibitor dose and linear (by diameter) and nonlinear (by area) specific growth rates of colonies of microorganisms. According this model the EC50 values of the gel compositions varied from 1 to 86 ppm of the active substance (Ag) and were consistent with other research findings. The fungicidal effect was sufficiently (3-30 times) lower for gel compositions based on ionic silver in comparison with colloidal forms; whereas bactericidal properties for both agents were similar.
Reclamation of chemical wastes for the production of efficient concrete modifiers
Authors: M M Kosukhin , I V Starostina , A M Kosukhin 
Published: May 2018

The research concerning the obtaining of highly-efficient polyfunctional superplasticizers for concretes on the basis of chemical production waste with the purpose of their reclamation and improving the environmental situation in the populated areas has been carried out. The highly-efficient concrete admixtures on the basis of various wastes have been synthesized and patented. A new efficient modifier based on pyrocatechin production waste has been suggested. The colloid and chemical properties of the obtained modifier and its influence on physical, mechanical and maintenance-engineering characteristics of concrete have been researched. Its comparative evaluation with the known plasticizing admixtures has been presented. It has been demonstrated that the superplasticizer under study is the most efficient in terms of plasticizing activity and improving the physical and mechanical properties of concretes and concrete mixes and has a polyfunctional effect. Its application allows increasing the concrete mixes flowability and concrete strength, reducing the concrete consumption, providing the concrete with fungicidal properties, cutting the production costs and solving ecological problems of the chemical production waste recycling.
Application of ferric-silicon coagulant-flocculant of electric steel smelting slag for leachate treatment of communal solid waste landfills
Authors: A. Vasilenko T , A. Koltun A 
Published: May 2018

In the Russian Federation the most common way of disposal of waste products is landfill. One of its drawbacks is the formation of highly contaminated filtration water. It was made an attempt to treat the leachate with a ferric coagulant-flocculant obtained from the electric steel smelting slag after the acid treatment with hydrochloric acid (the modification time of 1.5 N HCl at 40 °C is no more than 1 hour). To improve the treatment efficiency of highly contaminated leachate it was analysed a simultaneous application of the obtained coagulant-flocculant and conventional coagulants Al(SO4)2 and ferric chloride). It was shown a decrease in the values of the chemical oxygen demand (COD) by 94.4%, the color of the leachate by (91.3%). It was studied the physical and chemical properties of the filtration waters of the waste disposal landfill, as well as the dependence of the formation of the precipitable sediment volume on the portion of the injected coagulants and flocculant.
Nonlinear Vibration of Microbeams Based on The Elastics Foundation Using High-Order Energy Balance Method and Global Error Minimization Method
Authors: V. Hieu D 
Published: May 2018

In this paper, nonlinear vibration of microbeams based on the nonlinear elastic foundation is investigated. The equation of motion of microbeams based on three-layered nonlinear elastic medium (shear, linear and nonlinear layers) is described by the partial differential equation by using the modified couple stress theory. The equation of motion of microbeams is transformed into the ordinary differential equation by using Galerkin method. The high-order Energy Balance method and the high-order Global Error Minimization method are used to get the frequency – amplitude relationships for the nonlinear vibration of microbeams with pinned-pinned and clamped-clamped end conditions. Comparisons between the present solutions and the privious solutions show the accuracy of the obtained results.
Preliminary Design Investigation of Dual Stator HE FSM using Segmental Rotor
Authors: Ali Hassan , Sulaiman Erwan , Omar Zamri , F. Omar M , Amin Faisal , Khalidah Rahimi S 
Published: May 2018

To drop the effect of air transportation on the atmosphere as well as to advance fuel productivity more-electric aircraft (MEA) architectures is a well-known approach. As the electrical machines are competent to deliver higher torque densities and are foremost for the viability of electrical driving force for aircraft applications. For these reasons a new category of machine has been familiar and published in last decade known as flux switching machine (FSM). FSMs comprises all excitation sources on stator side without winding robust rotor structure. Additionally, FSMs are classified into three types such as permanent magnet (PM) FSMs, field excitation (FE) FSMs and hybrid excitation (HE) FSMs. PM FSM and FE FSM use PM and FE coil for their excitation sources respectively, whereas both PM and FE coil are used in HE-FSM for excitation. Afterwards, HE FSMs have shown higher torque to weight ratios with higher efficiency during research in the last decade. Yet, in existing structures of HE FSMs, there is flux cancellation between the fluxes of PMs and FE coil which causes to reduce the performance of machines. Hence, in this paper, a novel structure of dual stator (DS) HE FSM with segmented rotor has been proposed and analyzed. The main reason of dual stator is to make the separate flow fluxes in HE machines to avoid cancellations. The proposed novel DS HE FSM has a simple structure using dual stators to endorse separate dual excitations to be used in fault conditions. The proposed structure has been analyzed using commercial 2D FEA package, JMAG-designer. Initially, this paper presents the coil test analysis of proposed DS HE FSM to confirm the working principle. Besides, performance analysis has been carried out at no load and load conditions.
Comparison of beamforming algorithms based on localization of calibrating sound sources and air jet noise
Authors: Ershov V , V. Palchikovskiy V 
Published: May 2018

The paper considers study of beamforming algorithms for localization of noise sources. The mathematical formulations are briefly described for the following algorithms: Delay-and-Sum Beamforming, Cross-spectral Beamforming, Deconvolution Approach for the Mapping of Acoustic Sources (DAMAS). Based on the mentioned algorithms the program codes were developed. Operability of the program codes was tested on virtual localization of the point sources. All algorithms demonstrated good ability to distinguish these sources at different frequencies at their close position relative to each other. Initially, experiments were based on localization of calibrating static sound sources (beepers) using Bruel & Kjaer 54-microphone array. The measured data were processed both in the Bruel & Kjaer software and in the developed software. For static point sources, all algorithms have shown good work quality. The experiments were also carried out for the localization of noise sources in a turbulent air jet. In this case, the best results were demonstrated by Cross-Spectral Beamforming algorithm.
On the stabilization problems of non-holonomic systems with inhomogeneous constraints with incomplete information on the state
Authors: A.Ya. Krasinskiy , E M Krasinskaya 
Published: May 2018

The systematic application of Voronetz vector-matrix equations in Routh variables is developed to describe the dynamics of non-holonomic systems with inhomogeneous constraints. The obtained form of the equations of disturbed motion in problems of stability and stabilization makes it possible to analyze the structure of the model for a reasonable choice of the application of control actions. The developed technique makes it possible to automate the solution of problems of stabilization of operating modes of complex technical devices.
Comparison of solid biofuels produced from olive pomace with two different conversion methods: torrefaction and hydrothermal carbonization
Authors: Y. Gultekin Selin , Olgun Hayati , S. Celiktas Melih 
Published: May 2018

Olive pomace is a by-product of olive oil production process and has the potential to be a solid biofuel after thermal treatment. In this study, olive pomace was treated by two thermal conversion methods: hydrothermal carbonization (HTC) and torrefaction. Experiments were carried out under the temperature values of 250, 275, 300 and 350°C; reaction times of 10, 20 and 30 minutes for torrefaction and temperature values of 180, 200 and 220°C; reaction time of 2, 3 and 4 hours for HTC. Products with the same energy yield value (62 %) obtained the higher heating values of 23.73 and 25.20 MJ/kg for torrefaction (275°C for 20 minutes) and hydrothermal carbonization (220°C for 2 hours), respectively. Hydrothermal carbonization method has the potential to produce chars at lower temperature values and without a drying process; and obtain products with improved higher heating values, energy yields and atomic O/C and H/C ratios compare to torrefaction products.
Effect of pressure changes in sliding contact
Authors: Deeva Vera , Slobodyan Stepan 
Published: May 2018

The sliding contact when the air together with wear particles flow in contact area between commutator and brush is considered. The dynamical interaction between two surfaces is probabilistic. The behaviour of space-time-varying process is described by the differential equations, which are generally very difficult to solve. The simple numerical solution applying the method of Galerkin approximation to estimate the change in the pressure field in thin contact layer is obtained. It was found that under the leading edge of the brush the pressure change doesn’t exceed 0.07 of the maximum value. The numerical simulations of the absolute error are presented for the 0.1, 0.2, 0.5, and 1 of the relative length. The relative error of pressure changes for small contact area is smaller (1 – 0.8e 0.1τ). It is concluded that the approximate solution tends to the exact one. Moreover, it is shown that as the sliding velocity decreases, the relative error of the pressure change tends to the zero.
Development of generation special short articles for the given topic
Authors: S D Kulik , A N Belov , K I Matveeva 
Published: May 2018

The subject area and reviewed various sources of information relevant to a given topic will be considered. For implementation of algorithm of generation of the texts was chosen the C# language, as it has a large number of advantages compared to other programming languages, and it also has many libraries which it would be convenient to use in solving a given task. The text presents the structure of the generated article and the scheme of the developed algorithm for the application. Also it describes the structures that are used to implement such applications. The implementation of algorithm of generation of short articles on a given topic in English was discussed. Familiarization with the application was conducted and the results of generation were shown. It was shown that the generated articles have a good percentage of the plagiarism by experimental studies. It was shown that the articles would not be repeated even more than 50 generations, as a result of tests. Also was shown the implementation of the program on C# language, it’s interface, design generation and design of the English translation.
Performance of seismic shear panels under near-field motions
Authors: Mariella Diaferio Mariella 
Published: May 2018

The purpose of this study is to describe the structural response of steel frames with different stiffness and geometrical characteristics subjected to near-field earthquakes. Such actions, in fact, may be responsible of high levels of damage, as they are characterized by pulses of high amplitude. Thus, the effects on the structures are quite different from the ones induced by far-field earthquakes. In detail, the main aim is to evaluate the performance of such frames equipped with passive devices: two hysteretic dampers are considered which during the seismic action are mainly interested by shear stresses. Nevertheless, the main characteristics of their hysteretic behavior are different and, consequently, for a correct use the comparison of the performance is an important tool. Thus, the response of the protected frames is evaluated varying the characteristics of the near-field motions.
Effect of Complex Structural Material Coated the Flight Body to Measure the Absorption of Radar Radiation at Different Elevations of Flight Latitude
Authors: Ali Mhmood Karwi Abbas 
Published: May 2018

Avoiding radar detection is a prime importance in several fields. We design multi reinforced polymeric materials to absorb radar waves, these materials have low density, high elastic modulus, high tensile strength good erosion resistance and good fatigue strength. Composite materials are made by three principle techniques, injection, spraying and compression. Jet technique was used to measure materials resistance for erosion. We find that polytetrafluroethylene with multi mixtures has the best specification than other polymeric materials. We manufacture twenty-one alloys (A, B, C, D, E, F…..W) used in this work. Composite materials (A-W) are making by adding fillers to matrices. Absorption coefficient of fillers and matrices was evaluated and measured alone or as a composite. Dynamic and static radar cross section shapes (eight shapes)were studied in this work. The better shapes for absorption waves are (spherical, conical, cylindrical, and parabolic). All parameters controlled reflectivity and absorption were studied. We found that the maximum rate of absorption is more than (70%), this percent observed in certain coating layers. Metallurgical and mechanical work on composite materials have been investigated. Model designed to compute multi variables affecting on absorption and reflection.
Stability Analysis of Isolated Hybrid Microgrid for Village Electrification
Authors: Singh Kuldip , M. Narendra Kumar Dr , Satyasis Mishra Dr 
Published: May 2018

The village electrification is the main concern for government of India. The isolated Hybrid Microgrid with renewable energy sources has been growing rapidly for village electrification and it is going to play vital role for 100% electrification in rural area by 2020. For planning and designing of isolated hybrid microgrid the power system stability is major parameter and its main concern due to instability in load demand as well as in generation from renewable energy sources. For renewable energy sources, the controlling of frequency and voltage deviation is a great challenge. This paper is carry out the stability analysis for PV-Biomass based isolated hybrid microgrid on different load and generation conditions and carry out the effect on frequency stability
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 .