bluuebunny/crossref_metadata_2025 huggingface dataset:
An Effective Texture Features Based Mammogram Mass Detection System
Authors: Rajendra Prasad K , Suneetha Rani T , Basha Suleman
Published: July 2018

The identification of Mammogram is a very complicated application in Bio-medical field, it has complicated tissues. Nowadays breast cancer test, Bio-medical field often miss approximately 10% - 30% of tumors because of the ambiguous margins of lesions and visual weakness ensuing from long-time identification. For these reasons, numerous computer-aided recognition systems have been residential to aid Bio-medical in detecting mammographic lesions which may point out the existence of breast cancerthis revision presents a repeated Computer detection system that uses limited and isolated quality features for mammographic mass recognition. And system segments some adaptive square regions of interest (ROIs) for apprehensive areas. This revise also proposes two tricky feature withdrawal methods based on co-occurrence environment and visual compactness alteration to illustrate restricted quality uniqueness and the isolated photometric allocation of each ROI. As a final point, this revision uses stepwise linear discriminate examination to grade typical regions by selecting and evaluating the entity presentation of each feature. Consequences demonstrate that the projected system achievesacceptable recognition concert.
KM Trajectory Schema Service Frame Work for Software Development Organizations
Authors: A. Krishna Priya M , Selwyn Justus
Published: July 2018

Software Development Organizations are in the need to follow an effective KM strategy for Knowledge acquisition and Knowledge utilization. Even though, knowledge is available in the forms of documents, it is time consuming for the developers to identify and utilize the knowledge according to their need. Hence, we present a KM Trajectory Schema - Service Frame work which offers services for systematic Knowledge acquisition and Knowledge utilization.  Knowledge is acquired from the development activity, and then the developer’s code is stored in knowledge base. Knowledge Base Administrator designs a repository; knowledge base is appended by knowledge workers. Assessment and Evaluation of this Knowledge base is been done through the subject experts or knowledge champions. Finally Solution Knowledge Base is built and managed by Knowledge Base Administrators. KM service Framework facilitates Knowledge utilization by providing proactive semantic help for the software developers by the time of the development. KM Service Framework is an experimental collaborative platform that provides great service to the Software Development Organizations.
To analyze Consumer Satisfaction level in Digital Content Marketing with Emphasis on Shopping Websites
Authors: Khandelwal Manvi , Sharma Ashok , Deepika Varshney Deepika , Arti Dagur Arti
Published: July 2018

It has been in trend that all the content is designed according to the customer’s need and which provides some kind of information that can benefit a customer. In this research, an effort has been made for understanding the use and importance of digital content marketing strategy deployed by companies/ websites to gain new customers and securing the key customers, evaluating the content marketing factors which are responsible for the consumer’s buying behavior and analyzing their satisfaction are the main objectives. People living in Delhi NCR were taken as samples and the framework of the structured questionnaire examined content marketing factors which nowadays companies acquired to increase their sales growth and market value. Questionnaire was divided into 3 parts: Demographic Profiles of the respondents, Content Profile includes all the factors which are essential to make content of a website more reliable and effective and the last phase is satisfaction profile which examines the satisfactory score of the consumers while preferring a particular website to shop online great content can also determine the level of sales. The results, were analyzed and it emerged that digital content marketing has a high significant impact on customers, and it is an important marketing tool type which cannot be ignored by websites or companies. Content marketing strategy should include some feature which can help to gain more satisfaction are properly designed in terms of spacing, language, edit cart feature, security logo display, offers and discount should be available on special occasions and festivals, feedback and review display for each product, live chat option service for 24*7 times, accurate and reliable information about the product should be on website. Customer satisfaction level was measured in terms of brand education, financial benefit and recommendation.
Implicating Machine Learning towards Development of Intelligent System for Wart Treatment Therapy Identification
Authors: Khatri Sabita , Arora Deepak , Kumar Anil
Published: July 2018

Warts are produced on the human body because of contamination caused by Human Papillomavirus (HPV). The most affected areas of warts are hands and feet specifically, which is bit annoying and hard to recover in later stages. After massive literature survey, it is found that different treatments have been suggested for treating this illness. The basic problem found while treating that the treatment given to one patient may or may not be suitable for another patient, so it is hard to detect specific kind of treatment to be followed for faster recovery and effective customized treatment against this viral disease. The objective of this research work is to identify the ideal treatment method for both particular plantar and normal warts, between immunotherapy and cryotherapy treatment methods. Implications of machine learning techniques are now playing a vital role specifically in clinical diagnosis toward identifying different clinical patterns, disease classification and its predictions. In this research, work authors have implemented classifiers like Bayes Net, SVM, Multi-Layer Perceptron, k-NN, FURIA, Random Forest with the help of WEKA tool. The experimentation has been performed on data sets obtained from UCI Machine Learning Repositories. The experimentation was performed with total 180 patient instances having wart illness present in immunotherapy and cryotherapy datasets respectively. The result outcomes have been discussed and compared with existing methodologies mentioned in the literature. It was observed that the decision tree based classifier random forest is having the best classification accuracy among the chosen set of classifiers. The result shows highest classification accuracy in case random forest, 86% and 93% was noted for immunotherapy and cryotherapy treatment methods datasets. This research work is helpful for physicians in selecting the best treatment method for their patient suffering from wart illness in order to reduce overall treatment cost incurred and also improving the quality of treatment given to the patients.
Collective Network Channel Decentralized Fountain Design Codes for Safe Communication in VANET Network
Authors: Selvan Senthamil , . Wahidabanu
Published: July 2018

Wireless sensor network is noticed as bulk aggregation of slender sensor knobs that can characterize themselves in a decentralized system. Wireless communications assist these trades to increase plant knowledge by acquiring additional measurements from processes and apparatus when wired communication would be infeasible. The merits of the space diversity and transmit nature of wireless transmissions to adopt combined accession in which node transmit the host, that recover the lost host with long credibility by overhearing the transmission of its acquaintance.Article represents an indicating flexible unified management. On the basis of regular set code, the aspect of overall managed flexible WSN activity, local action conversion is protected.
Designing and Implementation of Efficient (2i x j) Reversible RAM-Array Module
Authors: Alla Srija , S H Bharathi
Published: July 2018

In the modern digital-world, power dissipation in microprocessors is becoming a significant challenge for the researchers to design an efficient reversible logic circuit. Thus, study on reversible logic design has been rapidly increased in present days for its application in Nano technology as well as in low energized VLSI design etc. In this current study, have realized a QC (i.e. quantum-cost) efficient (2i x j) reversible RAM array module with (3 x 3) New Modified Fredkin (NMF) reversible gate. Additionally, have introduced a Reversible D-Flip-Flop (RDFF) with less QC, and Reversible (i x 2i) decoder which produces the effective results in terms of QC and garbage-outputs. Finally, the study analyzed the designed architecture in terms of worst case delay.
University entrepreneurship center identity factors prioritization using TOPSIS method
Authors: Minouei Amin , Zaidi abd Rozan Mohd
Published: July 2018

University Entrepreneurship Center Identity (UECI) is a set of meanings by which a UECI allows itself to be known, and through which it allows people to describe, remember and relate to it. There are many factors stated in many studies related to UECI, but their importance level is not mentioned. In this study, the UECI factors are ranked by using TOPSIS method. A quantitative study was conducted to obtain experts’ views on UECI factors. The UECI factors were prioritized and ranked by using the “Technique for order of Preference by Similarity to Ideal Solution” (TOPSIS) from Multi-Criteria Decision Making (MCDM) method. The result of performing TOPSIS is as a novelty which assists UECI presentation. The high priority factors were introduced as “Innovativeness”, “Industry Interactions”, “Producing Highly Qualiﬁed Graduates”, “Proactiveness”, “Attract Entrepreneurial Faculty”, “Teamwork”, “Consulting”, and “Risk Taking”. This study proposes the importance level of UECI factors. At the end, it is recommended to evaluate the effect of UECI perception in different studies which contain university entrepreneurship center identity perception.
Scientific and industrial keyword analysis using structured covariance and clustering
Authors: Jun Sunghae , Joo Lee Seung
Published: July 2018

Using scientific and industrial keyword analysis (SIKA), many industrial companies have built their research and development (R&D) strategies for improving technological competitiveness in market. The technological keywords extracted from journal papers and patent documents are good resources for SIKA. In this paper, we use patent keyword data as scientific and industrial keywords for SIKA. A patent contains various information of developed technology such as patent title, abstract, date, citation, etc. Because the exclusive rights of technologies applied and registered to patent system are protected by patent law for a certain period. We also consider statistical methods for the SIKA. First we perform technology clustering using K-means clustering of technological patent keywords. Next we carry out the principal component analysis (PCA) from the clustering results. Using the first and second principal components, we obtain PCA plots for techno-logical clusters. So we can understand the technological structure of given and target technology from the PCA plot results. Combing the technology clustering and PCA plots, we propose a method of SIKA to build valuable R&D strategy of company. To illustrate how the proposed method could be applied to real problem, we make experiments using many technological keywords for given technology field.
Descriptive and distribution analysis of GitHub repository data
Authors: Rao Dinesh , Dubey Shishir , Kumar J Mohan , Rao Deepak , B Balaji
Published: July 2018

The usage of GitHub by developers is increasing. The organizations are also using GitHub for their project development. As a huge set of users are involved, it leads researchers to analyze the GitHub data. GitHub provides the API (Application programmable interface), to collect its data related to its repository. In our work, the collected data is extensively queried and data is visualized. In this paper, a descriptive analysis is done GitHub data. The results give a lot of insight on the GitHub usage.
Monophonic Wirelength in Graph Embedding
Authors: G. Michael Sindhuja , Uma Samundesvari K
Published: July 2018

In this paper we consider the monophonic embedding ofcirculant networks into cycles and we produce an algorithmto get the monophonic wirelength of the same.Further wend that the monophonic wirelength of some family of cir-In this paper, we define the monophonic embedding of graph G into another graph H and this paper presents a monophonic algorithm to find the monophonic wirelength of circulant networks G[n, ±S], where S ⊆ {1,2,3,…,n/2} into the family of Cycle Cn, n≥ 4. The mono-phonic embedding of a graph G into a graph H is an embedding denoted by fmis a bijective map from the vertex set of G into the vertex set of H and fm is a one-one mapping from the edge set (x, y) of G into Pm(H) where Pm(H) is the set of monophonic paths between fm(x) and fm(y) for every fm(x), fm(y) ∈ H. The monophonic wirelength of fm of G into H is the sum of distances of monophonic paths between two vertices fm(x) and fm(y) in H such that (x, y) ∈ E(G). In addition, the eccentricity, radius and diameter of an embedding of G into H are defined. The average wirelength of an embedding is defined and the bounds of average wirelength of some embeddings have been found.
Analysis of Hexagonal Photonic Crystal Fiber Using the Golden Ratio
Authors: Rahman Atta , RAbas Emeroylariffion , Begum Feroza
Published: July 2018

In this research, the proposed hexagonal photonic crystal fibers design is modelled using the principle of golden ratio; fixing the proportion of pitch to diameter of the air holes constant. Finite element method with perfectly matched layer boundary is used for numerical simulation of different properties. It is shown that the proposed design has lower effective area of below 9 μm2, low chromatic dispersion value of below 57 ps/(km.nm) and confinement loss of less than 0.01 dB/km at 1.55 μm wavelength. The proposed hexagonal photonic crystal fiber is applicable for data transmission systems.
An Analysis of Opportunities, Challenges and Key Strategic Implications Connected with the Utilization of the Internet of Things by Contemporary Business Organizations
Authors: Wielki Janusz
Published: July 2018

The rapid development of the Internet of Things and its growing influence on functioning of business organizations and utilized by them business models was the main motivation of undertaking the research presented in the paper. In this context the most important areas of opportunities created with the development of this concept were determined. The main internal and external challenges of a technical and non-technical nature were also identified. The major finding of the paper is suggested in its final part a strategic framework connected with the implementation of the concept of the Internet of Thing in business organizations.
Measure and Analysis of the Bullwhip Effect in Supply Chain When Demand Correlation Exists between Two Market Groups Under the First-Order Moving-Average Demand Processes
Authors: Sirikasemsuk Kittiwat , Sirikasemsuk Sarawut
Published: July 2018

With supply chains becoming increasingly global, the issue of bullwhip effect, a phenomenon attributable to demand fluctuation in the upstream section of the supply chains, has received greater attention from many researchers. The phenomenon in which the variation of upstream members' orders is amplified than the variation of downstream members' demands in the supply chain is called the bullwhip effect (BWEF). Most of existing research studies did not realize the demand dependency of market demands. Thus, this research focused on the study of the influence of the demand correlation coefficient between two market groups on the BWEF. The incoming demand processes are assumed the separate first-order moving-average, [MA(1)] demand patterns. The scope of the supply chain structure used in this research is composed of one manufacturer and two distribution centers. The general result reveals that the coefficient of correlation is one of several factors affecting the BWEF.
Two-Phase Fin-Induced Turbulent Cooling for Electronic Devices Using Heat Pump Associated Micro-Gap Heat Sink
Authors: Ahmed Shugata , Sulaeman Erwin , Faris Ismail Ahmad , Hasibul Hasan Muhammad
Published: July 2018

High energy requirement for electronic cooling is a major problem to operate high performance computers and data centres. Developing low cost thermal management systems for micro-electronic devices and micro-electro-mechanical systems (MEMS) is a cutting edge research area. A heat pump system associating micro-gap evaporator with internal micro-fins is a potential candidate for two-phase cooling of these advanced devices. Micro-fins induce pseudo-turbulence in the flow field, which escalates heat transfer rate. In this paper, the system performance of a heat pump using micro-gap evaporator has been investigated numerically and experimentally. As heat transfer rate in the micro-gap evaporator is influenced by turbulence generation, flow field in the inlet and outlet manifolds have been visualized in the numerical simulation to observe fin-induced pseudo-turbulence at the entrance and outlet of the micro-gap evaporator. The simulation has been performed using FLUENT 14.5 release. Experimental work has been carried out to validate numerical results. For experimentation purpose, a test rig has been developed, which contains a test section accommodating the micro-gap evaporator. A heater is provided at the bottom of the evaporator to supply uniform heat flux ranging 1 ~ 8 kW/m2. A pre-heater is installed at the compressor outlet to vary refrigerant temperature at the condenser inlet. The range of pre-heater temperature is 93 ~ 159°C. A variable speed compressor is used. The input frequency to the compressor is varied within the range of  20 ~ 50 Hz to run the compressor at different speeds. Experimental data show good agreement with numerical results. It is observed that in transient state, temperatures and pressures at different locations of the test apparatus fluctuate due to quasi-periodic dry out and surface rewetting nature of the flow. When pre-heater temperature is set at 159⁰C and compressor frequency is increased from 20 Hz to 30 Hz, evaporator wall heat flux escalates 118.2% and heat transfer rate of the condenser increases 65.2%. However, heat transfer rate declines with the further increment of compressor frequency. Coefficient of performance (COP) of the heat pump also increases with the frequency increment from 20 Hz to 30 Hz and declines after surpassing 40 Hz frequency.
Wide band multi stage eight way Wilkinson power divider for defense applications
Authors: Siva Charan M , Rajasekhar A , V. Venkateswara Rao K , Lakshmi Prasanna Ch , Vummadisetty. Naidu Praveen , Bansod Gaurav , Kumar Arvind
Published: July 2018

In this paper, a compact 8 way microstrip line Wilkinson Power Divider (WPD) is designed and proposed. The equal power divider con-sists of multiple multi-section WPD’s with isolation resistors. By utilizing the multi-sections concept, a remarkably increase in the band-width is observed. In the design process, RT 5880 substrate is used with the thickness of 0.8 mm and dielectric constant of 2.2 and loss tangent of 0.0004. The simulated results such as return loss, insertion loss and isolation are plotted by using ADS simulation software and obtained results show good agreement.
Preparation and characterization of decorative and heat insulating floor tiles for buildings roofs
Authors: Ashraf Basant , A. Radwan Mostafa , A. Sadek M. , A. Elazab Hany
Published: July 2018

Since the beginning of the 5th century, people felt the urge to construct a sort of heat insulation system to their houses. This research paper focuses on the preparation, development and design of heat insulating tiles using materials like automobile tires powder and rice husk which are materials that are available at almost negligible costs and great amounts. Throughout this paper, experimental work will be provided to document, analyze and compare different insulating materials based on their thermal conductivity factor (K-factor), economic aspects, contribution to a greener earth, and mechanical properties. The results show that a mixture of used automobile tires powder and epoxy has a K factor of 0.0117 W/m°C, and that of a rice husk mixture with epoxy is 0.0118 W/m°C. These values are considerably lower than the K factor of the currently used polyurethane foam (which is 0.026 W/m°C), and therefore these mixtures are more efficient heat insulators than the currently used foam. Calculations have also shown that the manufacture of these mixtures cost 65% less than that of the polyurethane foam.
ICM based ANFIS MPPT controller for grid connected photovoltaic system
Authors: Pavan Kumar Naidu R , Meikandasivam S
Published: July 2018

In this paper, grid-connected photovoltaic (PV) system is presented. PV system consists of a photovoltaic module, a boost converter, and voltage source inverter. ANFIS based ICM (Incremental Conductance Method) MPPT (Maximum Power Point Tracking) controller is utilized to produce gate signal for DC-DC boost converter. This controller is used for optimizing the total performance of the Photovoltaic system in turn the errors were reduced in Voltage Source Inverter (VSI). The grid-connected PV system performance is evaluated and har-monics occurred in the system are decreased. The proposed methodology is implemented in MATLAB/Simulink.
Performance analysis of modified dynamic voltage restorer (DVR) employed to a grid connected solar PV system
Authors: Pal Rakeshwri , Gupta Sushma
Published: July 2018

Among various power quality problems, voltage sag and swell are dominant where loads are very sensitive to the voltage disturbances. Various custom power devices are introduced recently to overcome these voltage issues, dynamic voltage restorer (DVR) is one of them. It offers very cost effective solution for problems such as voltage sag, swell and harmonics by establishing the proper voltage level during voltage disturbances to protect sensitive loads. In this paper, performance of DVR to improve power quality is done for solar photovoltaic (PV) based generation system feeding the grid and the three phase linear load. Solar PV generation system is implemented with an incre-mental conductance (IC) maximum power point tracking (MPPT) technique.  The DVR is connected in between solar PV system and load. The basic structure of DVR is modified by using the photovoltaic system as an alternative to DC source and in place of conventional 2-level voltage source converter (VSC) neutral point clamped (NPC) multi level inverter is used. The system performance is analyzed in the MATLAB/Simulink environment. The simulation results justified the efficiency of modified DVR in the mitigation of voltage sag in distri-bution system. Improvement of power quality by stabilizing voltage during fault and promoting renewable energy is the main framework of this work.
A novel PV based high voltage gain soft switching DC-DC boost converter
Authors: Jagadeesh Ingilala , Indragandhi V
Published: July 2018

The design of high voltage gain DC-DC boost converter is carried out with the addition of the Voltage Multiplier (VM) method. Here the coupled inductor and VM methodologies are proposed to reduce the switching and conduction losses of the Metal Oxide Semiconductor Field Effect Transistor (MOSFET). The Zero Current Switching (ZCS) technique with coupled inductor leakage inductance is used to operate the MOSFET. The leakage inductance is used to decrease the reverse recovery current across the diode. The design procedure of the boost converter and corresponding output waveforms are presented in this paper. Photovoltaic (PV) source converter with coupling inductors soft switching technique has been analyzed and tested in this paper.
Assessing the creditworthiness of construction enterprises by different methods
Authors: A. Shkileva Anna
Published: July 2018

The article presents an assessment of the creditworthiness of a construction company with the help of three methods: the classical method of rating the enterprise, the methodology of R.S. Sayfullin and G.G. Kadykov, the methodology of the PJSC "Savings Bank of Russia". A comparison of these methods was carried out using the example of "Mostostroy-11".
SSR mitigation in power system with static synchronous series compensator
Authors: A. Patel Nilaykumar , Praghnesh Bhatt Dr
Published: July 2018

Series compensation in transmission line with fixed series capacitor may cause Subsynchronous Resonance (SSR) at certain compensation level. This paper presents the application of static synchronous series compensator (SSSC) to mitigate impact of SSR. For analysis of SSR, IEEE first benchmark model is used and SSSC is located in transmission line at generator end. The linearized state space equation of SMIB system without and with SSSC has been developed to carry out eigenvalue analysis to identify potential modes for SSR. The AVR and PSS in the generator control loop coordinated with SSSC can successfully mitigate SSR. Time domain simulation is also carried out to confirm the results obtained with eigenvalue analysis.
Design of rogowski coil to measure the power frequency alternating current
Authors: Benitto A , Indragandhi V , Abarna R , Raja Singh R
Published: July 2018

For the growth of high voltage transmission power cables, it is necessary to calculate the current and voltage values. Current Transformers (CT) are used to convert the larger current values into smaller values. CT develop the convenient way of measurement in an alternating current transmission line. If CT becomes saturated then secondary current in a CT gets distorted because of a larger primary current. This distorted secondary current leads to a malfunction in the measurement side. So, detection and correction of the distorted current caused by the saturated CT becomes essential. To avoid these problems, we can use Rogowski Coil (RC) to measure the alternating current.RC is a toroidal coil used for measuring alternating current without touching the conductor. A RC is an evenly wound coil of N turns per meter on a nonmagnetic core of constant cross-sectional area A. Normally an alternating current produces a magnetic field when current flows through a conductor. RC is used to sense the magnetic field and rise to an induced voltage within the coil which is proportional to the rate of change of the current being measured. This RC current measurement is based on adopted reconstruction methods. In this paper, use two reconstructions methods to measure the alternating current. They are Analog integrator and Numerical Differentiation (ND). These reconstruction methods providing accurate as well as reduced time for correctly tracking the measured current.
Means to Enhance Operating Efficiency of the Concrete Mixer Trucks with the Purpose of Highly-Homogeneous Concrete Mix Preparation
Authors: Emeljanova Inga , Anishchenko Anna , Dobrohodova Olga
Published: July 2018

Option shall be considered to create concrete mixer trucks for preparation not only of high-flow but also of low-slump and dry type concrete mixes. With these aims it is offered to transfer operation to the cascade mode being characterised by combination of two principles on concrete mix preparation: gravitational and forced action.Design solution of the concrete mixer truck of gravitational-forced operation with spiral-blade shaft has allowed to liquidate available free places in the drum. The dependencies for calculation and arrangement of mix particles motion in the workspace of the machine drum are provided.  Graphic performance confirms the absence of free zones.There is description of dependency for determining the homogeneity degree obtained on the basis of the experimental investigation findings.
Improving of the Working Body’s Screws Joining Elements Digging-Filling Piles
Authors: F. Gasimov A , R. Barkhalov R
Published: July 2018

Extraction piles are widely used in the construction of industrial and civil buildings in poor, sloping slopes in the construction sector. Two methods are used in the placement of filling piles. First, the shingle-bell method is usually applied on the ground that does not explode. The latter is used primarily in avalanche and flowing grass, as well as in pressure and non-pressure aqueous soils. The parts of the body of the working body are coupled together with the help of couplings. These couplings work for both torsion and twisting. As a result of the gravity force of the large-diameter and deep wells connected to the reducer, the joining element of the couplings is bent. During disassembly, the connecting element is removed and can not be separated from the snap. This problem has once again been confirmed at meetings with producers participating in the BAUMA 2013 exhibition in Munich, Germany. In order to solve this problem it is planned to use the keysing pipe combination.
Investigation of Vibration Machine Interaction With Compacted Concrete Mixture
Authors: Nesterenko Mykola , Maslov Aleksandr , Salenko Julia
Published: July 2018

Dynamic system calculation scheme "Vibrating machine is compacting medium", where the latter is represented as a system with distributed parameters is compiled. As a result of the wave equation of oscillations solution, the law of compacting medium deformation over the entire thickness of the concrete layer is determined depending on the increasing density of the molded mixture, its physico-mechanical characteristics, the thickness of the concrete layer, the mass of the oscillating part of the vibrating machine, the frequency and amplitude of the disturbing force, elastic suspension stiffness and coefficient inelastic resistance. Changes in the compacting concrete medium resistance forces during the vibration compaction, depending on its consistency are determined.
Watertight Soil-Cement Dump of Oil and Gas Industry Waste
Authors: Zotsenko Mykola , . Yuriyvynnykov , Lartseva Iryna
Published: July 2018

It is established that the most accessible way of isolation of toxic wastes formed during drilling, development, exploitation and treatment of oil and gas wells products is to dispose them directly in the earth's slime dumps on the territory of the drilling site or beyond. The dump’s pit must have a watertight protective diaphragm, which is durable and resistant to the aggressive effects of toxic waste drilling and exploitation of oil and gas wells. The chemical composition of the borehole mud is determined. The results of experimental laboratory researches of borehole mud aggressive components influence on the physical and mechanical watertight diaphragm characteristics are given. The geotechnical parameters of soil-cement were analyzed with the aim of its application for the arrangement of toxic waste watertight dump’s diaphragm.
Improvement of Functional Planning Organization of Rural Settlements in Suburban Zones
Authors: Kuzmenko Tetiana , Liakh Vasyl , Dmytrenko Andrii
Published: July 2018

The purpose of the article is to define the principles of functional and planning organization of suburban rural settlements (SRS) and to determine the main techniques corresponding with them.Researches, which were conducted, and analysis of existing experience of formation of settlement planning structure and summarizing research and methodics literature determined allocation of principles of unity with central city, functional specialization, alternativeness and systematics of town-planning documentation updating. The following methods guarantee implementation of them: organic integration of objects of small business and service into the production-residential and production-service formations as new design objects, formation of new town-forming functions of settlements: businesses, services, recreations; formation of different functional types of SRS, considering dependence of plan structure on external transport corridors and natural features; forming SRS with a number of functions: monofunctional, bifunctional, multifunctional; identification of the most suitable way of development of SRS according to the defining factors of development and its gradual formation as certain type, the choice of the defining factors of development and mark assessment  based on the defining factors of development; transformation of structural parts of the settlement and their re-profiling into a different function. Recommendations for improvement of functional and planning organization of different SRS types have been developed.
World Experience of Using Water Reservoirs in the Structure of Basic Horizontal Planes of an Architectural Object
Authors: Kuznietsova Yana , . .
Published: July 2018

The aim of the article is to popularize the ecological approach in building both in Ukraine and states of the former Soviet Union. Previously the author studied issues of using water as a natural component on local and object levels in the structure of basic horizontal planes as connecting and outer spaces. This article deals with basic horizontal planes of buildings. The author analyzed architectural objects containing water as a natural component in their structure, and considered quality features of this approach. Firstly, these features influence psychology and physiology of a person, aesthetic perception of architectural objects and secondly, they have ecological aspects such as solving problems of heat isolation, precipitation cleansing, reducing the level of air pollution, atmospheric dispersion, etc. The article is based on the world experience of using water reservoirs in the structure of an architectural object. The author determined methods of water use and its influence on architectural form making. Watermorphic approach in architecture is defined as self-sufficient.
The Definition of the Optimal Energy-Efficient form of the Building
Authors: Sergeychuk Oleg , Martynov Viacheslav , Usenko Dmytro
Published: July 2018

We consider the problem of finding a geometrical form of a body in a thermal radiation field, for which the thermal balance between the body and the surrounding air is minimal. The case of a point source of heat is investigated. To consider an analogous problem for buildings, one must know the value of incoming thermal energy to a unit square in relation to its orientation. We develop an application package in MATLAB that represents this relation in table form and takes into consideration the direct, diffuse, ground-reflected solar radiation and the thermal radiation of atmosphere.
Implementation of Sequential Machine for Encryption of Textual Information
Authors: Dias Selena , Kumbhar Tanmay , Menezes Tyrel , Pinto Caroline , Dumane Pratibha
Published: July 2018

Cryptography is a secured transfer of information between users to avoid leakage of information. Research of techniques for cryptography using public key is done to have a need of great computational power besides being highly complex and time consuming for obtaining the key. Neural networks are found to have an edge over these shortcomings for obtaining the keys. In this paper, n – state sequential machine is used to examine Artificial Neural Network as a toll for cryptography. The results thereby obtained demonstrate the use of artificial neural network for cryptography.
Design and Simulation of Compact Band-Pass Filter Using Stub Loaded Plasmonic Mim Waveguide
Authors: Vishwanath M , Habibullakhan Dr
Published: July 2018

In this article, plasmonic band-pass filters (BPF) have been studied and numerically analyzed. This filter has been designed based on the two-stubs. Pass-band can be realized by appropriately adjusting the lengths and width of the resonator. Based on the ideal characteristics of the proposed two stubs BPF is allowing the band at THz frequencies. Multiple transmission zeros are generated to improve the selectivity of the filter. All simulated results have been studied using CST Microwave studio suite. Usually, the transmission effectiveness is revealed by the exact resonance condition, whichwill confirmalong with the numerical simulation or theoretical analysis.  This article delivers a promising application for plasmonic BPFsin addition to plasmonic integrated circuits (PICs).
Integrated Stage Dual Buck -Boost Fly Back Converter LED Driver
Authors: Subha Sharmini Kannan , Gulati Prateek , Jain Ankit
Published: July 2018

This paper presents a novel integrated stage converter configuration being applied as a LED driver. In order to prove the betterment of the topology, its performance is compared in terms of power factor, output voltage and settling time with three other randomly selected topologies: A single switch AC-DC LED driver based on boost fly back power factor correction converter with a lossless snubber, Integrated stage double buck- boost converter LED driver, Integrated stage LED driver based on buck-boost and class E resonant converter. As a consequence of relevant simulations of all the chosen topologies with resistance as the load, it is understood that Integrated buck boost fly back converter based LED Driver is beneficial as a compromise between all circuits. Hence the same is translated into an experimental prototype which is capable of a yield rated 45 V, 84.6 W and 1.88 A for a LED string load.
VSI Based DSTATCOM for Compensating Nonlinear and Unbalanced Loads
Authors: R.REDDY S , V.PRASAD P , N.SRINIVAS G
Published: July 2018

This paper presents study of distribution static compensator (D-STATCOM) for compensation of neutral current, source&PCC current harmonic distortion,  PCC voltage regulation and compensation of unbalanced current waveform for the three phase four wire nonlinear and  unbalanced load medium voltage distribution system. The proposed control algorithm is developed based on synchronous reference frame theory with PI controller. The obtained reference current signal from control algorithm is compared in hysteresis band current controller for better switching of D-STATCOM. The performance of system without & with D-STATCOM is also analysed and compared. The proposed control method is implemented on 11/0.4kv medium voltage distribution system and it is provided effective compensation for reactive power and harmonic distortion mitigation. The simulation results are obtained using MATLAB/SIMULINK.
A Protocol for the Effective Utilization of Energy in Wireless Sensor Network
Authors: Anand Santosh , Radhakrishna Pillai Atulya
Published: July 2018

In current technology Adhoc network is most commonly used in communication network. Major parts of the Adhoc network devices are based on the sensor nodes. Sensor devices operated on the battery so energy is vital constraint. Effective Utilization of the energy of the sensor nodes and sensor networks to the full extent is highly impracticable. Optimization of the network root and the load balancing in coverage helps to maximize the lifetime of the sensor network considerably. The research carry out on sensor network, deployment model is proposed which essentially finds the optimized roots with the help of  neighbour discovery algorithm which find the neighbour and non neighbour nodes and analysis the load of the network based on Packet Retrieval in RREQ, throughput, average energy consumption, packet delivery ratio and packet drop.
A Survey on Prediction of Suitable Crop Selection for Agriculture Development Using Data Mining Classification Techniques
Authors: Prathyusha K Angel , Y Mahitha , Kumar Reddy N Prasanna , Rajeswari P Raja
Published: July 2018

Agriculture is analytically the vast economic sector and is an important aspect in the economic growth of India. It is the only cause of living for about two-thirds of the population in India. It is very essential for the farmers to choose a crop that best suits the land being used for cultivation. The criteria to be considered in order to decide the crops that best suitable for the land are soil, water and season. The best suitable crop for the land can be predicted based on the agriculture data collected from the agriculture experts or from the farmers. Our paper provides a survey of the various classification techniques and classifiers used for the prediction of suitable crop selection for agriculture development. Farmers should get benefited by cultivating the best fitting crops rather than cultivating the unsuitable crops.
Concurrent Bug Detection Using Invariant Analysis
Authors: Kumar Sahoo Bidush , Ray Mitrabinda
Published: July 2018

In concurrent programs, bug detection is a tedious job due to non-determinism and multiple thread control. The bug detection is done by checking the interleaving of threads which is not available in operational phases. So, static analysis is one of the preferred approaches for detection of concurrent bug. Invariant based testing technique is one approach of static analysis used for detecting the concurrent bugs. In this paper, we discuss an invariant based testing approach using three steps: (i) the invariants of a given concurrent program are generated using Daikon tool. (ii) The bad invariants are removed by using the static call graph of the source code, where the static call graph is generated by the javacg tool. (iii) The reduced invariant set is obtained by eliminating the bad and redundant invariants which is used for testcase generation. Using the reduced invariant set, we generate the testcases that are used to find the various concurrent bugs such as Deadlock, Atomicity violation and Bad composition. We conducted an experiment on a well-known concurrent program called the Dining Philosopher Problem. The experimental results show that, the testcases obtained from the reduced invariant set is able to detect more types and no. of concurrent bugs than the existing approach on invariant based testing.
Migrating From Data Mining to Big Data Mining
Authors: Bathla Gourav , Aggarwal Himanshu , Rani Rinkle
Published: July 2018

Data mining is one of the most researched fields in computer science. Several researches have been carried out to extract and analyse important information from raw data. Traditional data mining algorithms like classification, clustering and statistical analysis can process small scale of data with great efficiency and accuracy. Social networking interactions, business transactions and other communications result in Big data. It is large scale of data which is not in competency for traditional data mining techniques. It is observed that traditional data mining algorithms are not capable for storage and processing of large scale of data. If some algorithms are capable, then response time is very high. Big data have hidden information, if that is analysed in intelligent manner can be highly beneficial for business organizations. In this paper, we have analysed the advancement from traditional data mining algorithms to Big data mining algorithms. Applications of traditional data mining algorithms can be straight forward incorporated in Big data mining algorithm. Several studies have analysed traditional data mining with Big data mining, but very few have analysed most important algortihsm within one research work, which is the core motive of our paper. Readers can easily observe the difference between these algorthithms with  pros and cons. Mathemtics concepts are applied in data mining algorithms. Means and Euclidean distance calculation in Kmeans, Vectors application and margin in SVM and Bayes therorem, conditional probability in Naïve Bayes algorithm are real examples.  Classification and clustering are the most important applications of data mining. In this paper, Kmeans, SVM and Naïve Bayes algorithms are analysed in detail to observe the accuracy and response time both on concept and empirical perspective. Hadoop, Mapreduce etc. Big data technologies are used for implementing Big data mining algorithms. Performace evaluation metrics like speedup, scaleup and response time are used to compare traditional mining with Big data mining.
3D-Forming and Autodesk Autocad at the Initial Stage of Engineering Training of Specialists in Technical Areas
Authors: V. Telegin V , V. Telegin I , S. Stepanov A
Published: July 2018

Descriptive geometry is one of the disciplines that for a long time is the basis for training engineers of various specializations. However, with the advent of modern computer 3D technologies, the place and role in engineering of many traditional disciplines requires rethinking. The article is devoted to the integration of methods of descriptive geometry into the educational process of preparing students of higher educational institutions.
Mathematical Modeling of Power Supply of an Autonomic Enterprise Based on Wind Power Plants
Authors: Telegin Valeri , Titov Nikolai , Stepanov Anatoli
Published: July 2018

Power supply systems for small businesses based on renewable energy sources are most often based on converting wind energy, solar energy and water energy. Calculating its effectiveness is a time-consuming task, requiring the processing of a large amount of data specific for the geographical location of power generating units. In the article the technique of computer modeling of work of a park of wind power plants (WPP) with the purpose of definition of an optimum parity of their parameters is considered.
Hierarchical Neighborhood Models for Ventilation System
Authors: Shmyrin A.M , Mishachev N.M , Semina V.V
Published: July 2018

Considering cement production, we deal with dust, associated with a non-optimal operation of the dust-free ventilation system in the clinker burning department. The optimally organized heating, ventilating, and air conditioning system in any type of production ensures the microclimate of the production premises, corresponding to the sanitary norms and rules, which contribute to the increase of the staff’s efficiency. In this paper, the questions of the neighborhood modeling of the heating, ventilating, and air conditioning system in the premises of the cement production shop are considered. A system for minimizing energy costs and reducing dust emission in the clinker burning shop is proposed, which allows increasing the environmental safety of production.
Identification of Complex Production Systems with Using Iterative Networks
Authors: A.M Korneev , L.S Abdullakh , A.B Sukhanov , . Antar , D S , Kh.M Al-jonid
Published: July 2018

In the article the technique of identification of complex production systems using iterative networks is considered. The identification process begins with the allocation of functional blocks, which can later be described by automata working with discrete information and changing internal states only at specified times. The basic laws of the functioning of the selected subsystems are simulated. Characteristics of cells formed parameters associated with multi-step manufacturing process. As the semi-finished product passes through the processing stages under consideration, the values of the technological factors being realized are fixed in the system being formed.
Research on the Hot Rolling of Blanks on Oval and Circle Dies
Authors: I. Zolotukhin P , M. Volodin I , I. Volodin A
Published: July 2018

The results of the blanks hot rolling modeling in the «QForm 3D» program and the research on the deformed shape (DS) of metal by grid method are presented. Comparison of data obtained by different methods is made when analyzing the rolling of blanks for two passes using the circle-oval-circle scheme.