bluuebunny/crossref_metadata_2025 huggingface dataset:
Construction Enterprise Material Stocks Management Economic and Mathematical Model Creating
Authors: Kharchenko Yuriy , . .
Published: July 2018

Material stock management modern economic and mathematical models   are studied. Materials stock formation system at one of Poltava construction enterprises was analyzed by the author. It is proposed to use a deterministic and probabilistic model for determining the optimal size and time of placing an order depending on the group of building materials. It will increase financial resources usage        efficiency to hold stocks and increase construction enterprise profit.
The Theory of Concrete Mixture Vibratory Compacting
Authors: Maslov Oleksandr , Batsaikhan Janar , Salenko Yulia
Published: July 2018

Purpose. The creation of the compacting vibratory process theoretical basis enabling the assessment of the efficiency and the choice of rational modes of the vibration influence on the concrete mixture, based on the minimal energy input in the process of its compacting.Methodology. The paper contains the description of the mechanism of compacting under the action of external vibration forces whereat a variable tensely deformed condition occurs in the concrete mixture. In this case the primary structural links break, the links between its separate elements weaken, the final movements of mineral particles result in the creation of a more compact packing. As the basic factor determining the character of the compacting process, the authors propose to use the product of voltage and the velocity of the vibratory action, which presents the power of the vibratory action on the compacted medium.Results. The authors have obtained analytical expressions enabling the determination of the growth of the concrete mixture density in time function depending on the type of the vibratory load and the power of the applied vibratory action on the compacted medium. The paper contains the theoretical and experimental values of the specific work that provides compacting up to the values required by the technological norms depending on the consistence of the concrete mixture at vertical and horizontally directed vibrations.Conclusions. The authors have specified the existing hypothesis and proposed a more general power hypothesis of the process of vibratory compacting of concrete mixtures, applicable to the description of the vibration process and concrete media treatment by various vibratory mechanisms, tools and machines. One can use the obtained results to set the rational modes and duration of the vibratory action on the compacted medium depending on the amount and type of the specific work of compacting and also to determine the basic parameters of vibration machines of various technological purpose.
Vibrated Soilcement Piles
Authors: Nesterenko Tеtiana , Novytskyi Oleksandr , Voskobiynyk Serhiy
Published: July 2018

The article describes the vibration research effect of on strength increasing and soilcement density. Laboratory studies of vibration impact on soilcement during manufacturing on the basis of loam and sandy soils have been performed. The field experimental determination of deep high-frequency vibration influence on soilcement piles material characteristics has been fulfilled. The process of material shrinkage during manufacture has been investigated. The obtained results are introduced in the process of soilcement base and foundations placement. Field comparative tests with static compressive loading of three types of piles, including vibro-compacted soilcement piles, have been conducted. With the PLAXIS software system, and with it’s axisymmetric particular version, the relationship between loading and soilcement piles settling was established. Numerical stamp tests modeling with the help of the software system PLAXIS was performed to detect the soilcement vibration influence on the reinforced base deformation.
Experimental Testing Results of Reinforced Concrete Beams Under Biaxial Bending
Authors: Pavlikov Andriy , Kosior-Kazberuk Marta , Harkava Olha
Published: July 2018

The experimental tests data of reinforced concrete beams of a rectangular profile made of heavy concrete on pure biaxial bending are presented. The inclination angle of the external load plane to the vertical axis of inertia of the section varied in the range from 0º to 20º. The tests were conducted to study the work of the biaxial bended elements under load and to verify the developed method for strength analysis of such elements. It has been established that the order of changing the neutral axis position in the section of the biaxial bending beams in the loading process depends primarily on the relative disposition of the external load plane and the resultant in the tensioned reinforcement. It has been confirmed that the ultimate compressed fibrous strains of concrete depend not on the shape of the section, but on the shape of the concrete compressed zone. The results of the tests have good correspondence with theoretical calculations, which proves the expediency of using the developed engineering method for the strength analysis.
Application of Effective Microorganisms in Soil-Cement Mixtures
Authors: Petrash Oleksandr , Petrash Ruslan , Popovych Nataliia
Published: July 2018

This paper provides a research data on the impact of effective microorganisms on the physic and mechanical properties of soil-cement mixtures and stone. Deep soil mixing technology considered to be used for manufacturing soil-cement. The purpose of the research is to determine a way of increasing strength of soil-cement by addition of effective microorganisms. Strength increasing method should not compromise the mixture’s movability. Authors used an experimental approach within which there were standard techniques of determining the movability of soil-cement mixture and density and strength of a soil-cement stone in a laboratory environment. This research resulted in discovering the optimal contents of a soil-cement mixture with respect to mechanical properties required. Authors proved the effective microorganisms to be efficient mean of increasing the strength of soil-cement.
Crowd Funding as a Tool for Financing the Construction of Social Facilities
Authors: Ptashchenko Liana , Chechelashvili Maya
Published: July 2018

The article analyzes the social state of countries experiencing economic convergence in the European Community on the basis of rating indicators of the level of happiness of the population. It is noted that the main problem of weak socialization in these countries is inadequate financing of measures for implementing me general social policy, including construction of social facilities. The article substantiates the idea that it is possible to solve the problem of financing the construction of social facilities with the help of crowd funding, which is not popular in this industry yet. Based on the study of crowd funding, the purpose of the article is to determine the organizational mechanism for the successful implementation of social projects with the help of crowd-hosting platforms. Since the basis of crowded platforms development in the social sphere is trust and motivation, the article suggests using crowd-sourcing, which would help a wider circle of the public pay attention to the social project.The authors are the first to form an organizational mechanism for supporting and implementing projects for the construction of social facilities with the help of crowd-funding platforms and proposed a mixed technology for implementing a social project; this technology is an advanced combination of creating experimental objects and active implementation of projects through advertising and crowd-sourcing. The support for the project on the crowd-diving platform was described by the authors as crowd-shipping development. The emphasis was placed on the need to train active and enterprising people in technologies and prospects of crowd finding for projects of construction of social facilities, as well as the population awareness of crowd funding advantages and possibilities for the development of regions (territories) of the country. It is noted that this will allow creating objective conditions for the formation of citizens' attitudes towards the socialization of relations in society, envolving the population into social activity, and forming a social culture in society.Â
Strength Design of Compressed Reinforced Concrete Elements by Deformation Method Based on Extreme Criterion
Authors: Shkurupiy Oleksandr , Lazariev Dmytro , Davydenko Yurii
Published: July 2018

Investigations of the normal sections strength of compressed elements using a deformation method were performed. The shape of the section, the class of concrete and the percentage of reinforcement were taken into account when performing analytical calculations. Analytical, numerical, optimization techniques etc. were used for solving of this task. The results of the analytical calculations and the data of the experimental studies were compared.Â Â
New Effective Combined Steel Structures
Authors: Gogol Myron , Zygun Alina , Maksiuta Nataliia
Published: July 2018

In the article, based on the generalization of the experience of adjusting efforts in steel combined structures, it is shown, that the most rational method of regulation is calculated in the design process. This method does not require any additional material costs. It is shown that the beam on elastic intermediate supports and solid extremes is a generalized type of all possible types of beams. It was emphasized that the problem of calculating building structures, including combined, first of all should be regarded as a problem of their rational design. The results of experimental studies of combined steel truss with calculated regulation in their internal efforts are presented. Experimental studies confirmed the hypothesis about the possibility of regulating the stress deformation state (SDS) in combined structures with resilient support - system of springs and achieving an equally stressed state in the calculated cross-sections. The sufficient consistency of the experiment results with theoretical calculations is shown and the efficiency of such systems compared with the typical reaches up to 27%. The proposed nomenclature series of effective new light, with a small number of elements trussed structures. Effective combined steel structures with rational geometric parameters and calculated value adjustments of SDS were used during the construction and reconstruction of many buildings:
Experimental Study on the Multikeyed Joints of Concrete and Reinforced Concrete Elements
Authors: Dovzhenko Oksana , Pohribnyi Volodymyr , Karabash Leonid
Published: July 2018

The connections ensure teamwork under the load of buildings and structures bearing elements. Joints distraction leads to a change in the structures support conditions and their design schemes. Keyed joints are the most effective under significant shear force action because they have high shear resistance. This makes it necessary to further improve their design solutions. In the article the experimental study results of multikeyed joints two series are presented. The joint models were tested in the department laboratory of reinforced concrete and stone structures and resistance of materials Poltava National Technical Yuri Kondratyuk University. The keyed profile (key’s depth to height ratio and load application surface angle), reinforcement (quantity of reinforcement and its location character), seam width, keys number were varied in experiments. Heavy-weight concrete, expanded clay concrete and polypropylene fiber concrete were used for the samples manufacture. In experiments the influence of one of listed factors and their combinations for bearing capacity were studied. The concrete and reinforcement strains, distraction character, the failure load were studied. The influence degree analysis of the factors determining the strength was carried out. The design joints parameters that correspond to maximum strength were determined.
Design of Composite Skin Panels with Solar Panels on the Roof
Authors: Shkirenko Serhiy , Muravlov Volodymyr , Zyma Oleksandr
Published: July 2018

An example of typical two-sided composite (timber and plywood) skin panel design to be used as a roof member with solar panels.
Theoretical and Experimental Research of The Stability of The Eccentrically Loaded Steel Columns with Variable Cross–Section
Authors: Trusov Gennady , Ruban Vladimir
Published: July 2018

The article deals with the problem of determining the ultimate load for the eccentrically loaded steel columns with variable-cross section.The purpose of the research work is to offer an evaluation technique and practical calculation of load-bearing ability of the beam-columns with variable cross-section on the basis of numerical research, which will allow to consider the true form of element deflection curve, the effect of cross-section form, physical nonlinearity of the material, and variety of element boundary conditions. The distinctive characteristic of the suggested method is usage of the discrete models for cross-sectional parts, for the true stress-strain curves of the materials, and for the other input data. The method was tested and the results were compared to known theoretical solutions and national standards. To establish the reliability of the developed method, the experimental study of steel columns with variable cross-section was conducted. The suggested method allows to obtain column curves tables of lowering coefficients for these elements, that can be used in practice of civil engineering, and are convenient with national standards and Eurocode.
Mathematical Modeling of the Resistance of Pulling out Steel Bars from High Strength Concrete
Authors: Babych Yevgenij , Filipchuk Sergij , Fenko Oleksiy
Published: July 2018

The article gives the results of the experimental researches of the bond between steel and high strength concrete. According to these results the mathematical model was built to define the boundary stresses of the bond between steel and concrete on their contact surface. The analysis of the impact of the specific factors on the boundary stresses of the bond between steel and concrete was carried out.
Urban Green Zones Planning Concept and Ecological Functionality (Through the Example of Poltava, Ukraine)
Authors: Smoliar Natalia , Bredun Viktor , Toronchenko Olha
Published: July 2018

In the article major peculiarities and problems in architectural and planning decisions concerning Poltava urban greening are represented, and ways of solving them are suggested. The town’s green zones appropriation, their ecological, town-planning, sanitary and hygienic, recreational, and in case of some of them nature-sanctuary importance is considered. Structure and economical constituents of Poltava urban green zones planning, which represents average town urban ecosystems   in the central (forest-steppe) zone of Ukraine, is analyzed. Maps and figures depicting typical schemes of manufacturing, transportation structure, density of population and urban greening are provided. Outraging of acceptable concentrations in dust and formaldehyde while analyzing urban atmospheric air pollution level according to the data obtained from stationary sites, is shown. These proves importance of taking into account consideration of interdependence between levels and locating of town’s natural resources polluting sources, first of all atmospheric air, with urban territory greening planned decisions. Based on materials concerning study of green zones ecological functionality effectiveness peculiarities, the concept of Poltava urban green zones planning is suggested. Modern town architectural and planning decisions ecological aspects should be integrated into local strategies and development programs, town general lay-outs, transportation systems planning, strategy referring environmental protection, and require local self-government and state support.
Technology of Molding Masses for Architectural and Artistic Ceramics Using Low-Aluminate Clays
Authors: Chopenko Nina , Muravlev Vladimir , Skorodumova Olga
Published: July 2018

The article deals with the main technological problems arising in the manufacture of large-scale ceramic products for architectural and artistic purposes. The influence of low-burned chamotte obtained from low-alumina clay on the physical and mechanical properties of molding masses based on the Oposhnya clays is investigated. It is shown that the firing medium of the developed molding masses significantly affects the properties of ceramic products.
Technical and Economic Synergetic Effect in Conditions of Innovative Transformation of Water Supply and Sewerage Economy
Authors: Kalyuzhniy Anatoly , Zubrycheva Lyudmyla , Savyk Vasyl
Published: July 2018

There has been conducted a study of interdependence between technical and economic researches of diameters calculation of water pressure supply and sewerage networks. There has been offered the method to calculate the optimal diameter of water pressure supply and sewerage networks made of polymeric pipes. This qualitative and quantity methodology includes, firstly, the observation review of Ukrainian water supply and sewerage networks and, secondly, the survey of financial and economic documents of water supply and sewerage economy. The factual basis of the study is the initial data of statistical monitoring of work conditions of water pressure supply and sewerage networks. The paper proposes using the net present value (NPV) to calculate the optimal diameter of water pressure pipes made of polymeric materials, which, finally, decreases capital and exploiting expenditures and considers the maximum income for water supply and sewerage economy (WSE).
Optimization of City Water Supply Networks on Their Structural and Functional Analysis Base
Authors: Tkachuk Alexander , Pilipaka Lyudmila , Azizova Anna
Published: July 2018

Based on the research results on the operation of urban water supply and distribution systems, the most rational ways of their improvement are identified in order to improve water supply and energy saving.
Characterization of Outdoor to Indoor Propagation in Urban Area by Using A Combination of COST231 Walfisch-Ikegami and COST231 Multiwall Models in 1800 Mhz and 2100 Mhz
Authors: Pinem Maksum , Zulfin Muhammad , Suherman S , M. Sihombing Panangian , Indah Rezkika Sri
Published: July 2018

Increasing numbers of the mobile communication users in urban city; especially indoor users cause the radio coverage prediction of outdoor to indoor becoming important. Obstacles are the main problems for outdoor to indoor propagation that weaken signal level and worsen information detection. This paper proposes a combination of COST231 Walfisch-Ikegami and COST231 Multiwall to predict the received signal. By comparing the predicted and the measured signal level in the Antara building, Medan city for both 1800 MHz and 2100 MHz channels, the proposed model outperforms the compared method in predicting signal level. The proposed model is able to suppress the prediction deviation 11.035 dB lower than the compared method for Sector A and 5.98 dB lower at Sector B.
Impact Suboptimal Signal Degradation Handoff (SDH) Properties to Handoff Parameters
Authors: Pinem Maksum , Siregar Leonardo , Rahma Fadilah , Suherman S
Published: July 2018

Study on mobile handoff is aim at avoiding inefficient mobile station transfer from a base station to other base station. Efficient handoff leads to smooth communication and seamless mobile station migration. This paper studies impact of cost and window length properties of the suboptimal signal degradation handoff (SDH) to handoff performance parameters such as received signal level, delay and number of handoff. Simulation results show that cost and average length increment cause signal degradation and delay increment. However, number of handoff decreases. The suggested optimal cost (c) for average window length (dr) 0 and 10 are 0.65 and 0.25. However, dr = 20 and 30 experience poor signal for any cost values.
The Eco-Driving Behaviour: A Strategic Way to Control Tailpipe Emission
Authors: Arokiaraj Dr , R. Srivel Mr , R.Arthie Reena Ms
Published: July 2018

The global auto industry is responsible for 15.9% of carbon emission (OICA) and among that, vehicle users are responsible for around 80% of carbon emission (JAMA). Awareness about environmental problems caused by this emission is rapidly increasing among people and governments are organizing various campaigns to make people familiar with the eco-driving concept. Vehicle users do not realize that their driving style has a direct influence on fuel consumption and this, in turn, leads to unwanted carbon emission. Therefore, there is a need to understand the car users' eco-driving behavior and explores the awareness level of passenger car users. Data has been collected from 400 respondents through the help of a structured questionnaire with a focus on eco-driving behavior practices. Analysis of this data showed that the pressure given to accelerate the engine is transformed into tailpipe emission. Therefore, this study highlights the importance of inculcating eco-driving behavior among car users in particular and vehicle users in general.
Efficient Document Clustering for Web Search Result
Authors: Rani Manukonda Sumathi , Kmit Asst.Prof , . Narayanguda , . Hyderabad , Divya Nomula , Cmrit Asst. Prof. , . Medchal , . Hyderabad
Published: July 2018

Clustering the document in data mining is one of the traditional approach in which the same documents that are more relevant are grouped together. Document clustering take part in achieving accuracy that retrieve information for systems that identifies the nearest neighbors of the document. Day to day the massive quantity of data is being generated and it is clustered. According to particular sequence to improve the cluster qualityeven though different clustering methods have been introduced, still many challenges exist for the improvement of document clustering. For web search purposea document in group is efficiently arranged for the result retrieval.The users accordingly search query in an organized way. Hierarchical clustering is attained by document clustering.To the greatest algorithms for groupingdo not concentrate on the semantic approach, hence resulting to the unsatisfactory output clustering. The involuntary approach of organizing documents of web like Google, Yahoo is often considered as a reference. A distinct method to identify the existing group of similar things in the previously organized documents and retrieves effective document classifier for new documents. In this paper the main concentration is on hierarchical clustering and k-means algorithms, hence prove that k-means and its variant are efficient than hierarchical clustering along with this by implementing greedy fast k-means algorithm (GFA) for cluster document in efficient way is considered.
Emerging Paradigm of Edge Computing in the Context Of Iot
Authors: SHIRISHA BETHALA , DIVYA PRIYA DEGALA , . MAHALAKSHMI , REDDY CHILUKALA MAHENDER , PRAVALLIKA BETHALA
Published: July 2018

Centralised Cloud computing is having many challenges with the rapid increasing in IoT( Internet Of Things) applications. The challenges are high latency, low spectral efficiency (SE), and non-adaptive machine type of communication. In order to solve these challenges have moved to the concept of new computing concept that is nothing but edge computing, which calls for moving the data at the edge of the network. Edge computing has the possible to deal with the concerns of battery life constraint, response time requirement, data safety, bandwidth cost saving and privacy. In this paper, we started the explanation with IoT and solution of IOT i.e. edge computing, followed by several case studies, ranging from cloud offloading to smart home and city, as well as collaborative edge to materialize the concept of edge computing.
A 3D Design Based on Jewelery Production Technology with Special Features
Authors: S. Gamov E , B. Tonkovid S , A. Kukushkina V , A. Nikulcheva N
Published: July 2018

This article shows the process of development and manufacturing of the exclusive "Ring" product with application of modern technologies of its manufacturing. The main stages of the process of designing, modeling and getting the finished product are presents. Recommendations for the selection of software are given. The advantages of application of additive technologies in jewelry production are shown.
Bilinear Relational Neighborhood Model of the Stage of Diffusion of Sugar Production Based on the Heat Balance Equation
Authors: Shmyrin A.M , Mishachev N.M , Kanyugina A.S
Published: July 2018

In this paper, the problem of mathematical modeling of the stage of diffusion of sugar production is considered. To build the model, a combined approach is used: the structural identification based on the relational neighborhood scheme is refined with the help of the physical equation of the heat balance and then the parametric identification of the coefficients is performed using standard regression methods. The resulting model is bilinear.  The corresponding model, resolved with respect to critically important temperature parameters, is fractional-bilinear. Parametric identification of the model is based on seasonal sampling of production data, the sample size is more than 10000.
Investigating the Role of Internet of Things in Knowledge Management Systems (Case Study: Offering A Resource Description Model Based on Ontological Study of Smart Store Management (Smart Shopping Cart)
Authors: Shahpasand Siamak , Rahimzadeh Omid
Published: July 2018

Rapid changes in the knowledge management (KM) area are substantially dependent on the considerable progresses made by the mankind in the information technology (IT) during these years. In fact, Internet of Things (IoT), as part of the applied technologies in the IT world, has rendered feasible the fast growth and sharing of knowledge. IoT records the data pertinent to the natural phenomena and classifies and calculates them for the purpose of facilitating a better and easier perception thereby to enable the human beings better perceive the phenomena. The quality of achieving an integrated source in regard of resource description is an important challenge in IoT for a large number of heterogeneous devices.According to the absence of an integrated description model for IoT devices, the present article tries proposing an ontology-based resource description model (ORDM). These resources in IoT include the description of such classes as specifications, statuses, controls, situations, performances, histories and privacies inherent of the things. The ontology-based description model (ORDM) can be completely implemented for the performance optimization of a smart store through its offering of a smart shopping cart. The experiment results indicated that the proposed model is of a considerable applied value and prospect in the optimization of devices’ access and business performance in IoT.
Grid Tied Photovoltaic System with Perturb and Observe Maximum Power Point Controller and LCL Filter
Authors: Pilla Ramana , Hareesh Kumar Jallu , Chandana Adavipalli
Published: July 2018

This paper describes a grid tied photovoltaic (PV) system along with maximum power point tracking (MPPT) and LCL filter. A PV model is developed using mathematical equations of solar cell. This PV module is controlled and optimized with MPPT algorithm. The maximum power point (MPP) tracking is implemented using Perturb and Observe (P&O) algorithm from the solar array and given to DC-DC boost converter. The enhancement of unfettered PV Voltage is achieved using boost converter and also used to verify the               precision of MPPT technique. Using inverter controller, the boost converter DC output voltage is converted into AC voltage. The phase and frequency of the grid is tracked using phase locked loop (PLL) to integrate the inverter with the grid. In addition to this, to diminish the harmonics in the inverter output an LCL filter is used. The performance of grid tied photovoltaic system is extensively simulated with MATLAB software.
Vision Based Algorithm for People Counting Using Deep Learning
Authors: Padmashini M , Manjusha R , Parameswaran Latha
Published: July 2018

Estimating the number of people in a particular scene has always been an important topic of research in computer vision and digital image processing. People counting has wide applications in scenario ranging from analyzing the customer's choice and improving the quality of service in retail stores, supermarkets and shopping malls to managing human resources and optimizing the energy usage in office buildings. While there exists algorithms for counting people in a scene, some algorithm have set their benchmark in performance with respect to efficiency, flexibility and accuracy. In this paper, an attempt has been made to perform people counting using Deep Neural Networks (DNN) on comparison with existing image processing based algorithms like Histogram of Oriented Gradients with Support Vector Machine (HoG with SVM), Local Binary Pattern (LBP) based Adaboost classifier and contour based people detection. The proposed DNN based approach has higher accuracy at 90% and less false negatives.
Web Application Vulnerability Detection Using Hybrid String Matching Algorithm
Authors: J. Santhosh Kumar B , Pujitha Kankanala
Published: July 2018

Application uses URL as contribution for Web Application Vulnerabilities recognition. if the length of URL is too long then it will consume more time to scan the URL (Ain Zubaidah et.al 2014).Existing system can notice the web pages but not overall web application. This application will test for URL of any length using String matching algorithm. To avoid XSS and CSRF and detect attacks that try to sidestep program upheld arrangements by white list and DOM sandboxing techniques (Elias Athanasopoulos et.al.2012). The web application incorporates a rundown of cryptographic hashes of legitimate (trusted) client side contents. In the event that there is a cryptographic hash for the content in the white list. On the off chance that the hash is discovered the content is viewed as trusted or not trusted. This application makes utilization of SHA-1 for making a message process. The web server stores reliable scripts inside div or span HTML components that are attribute as reliable. DOM sandboxing helps in identifying the script or code. Partitioning Program Symbols into Code and Non-code. This helps to identify any hidden code in trusted tag, which bypass web server. Scanning the website for detecting the injection locations and injecting the mischievous XSS assault vectors in such infusion focuses and check for these assaults in the helpless web application( Shashank Gupta et.al 2015).The proposed application improve the false negative rate.
A Decode Technique of MSI for Efficient Reconstruction Process
Authors: Narmatha C , Manimegalai P , Manimurugan S , Almutairi Saad , Aborokbah Majed
Published: July 2018

This paper presents aMSI(Modified Steganography for Image) decode technique for the perfect reconstruction process. Many algorithms are failing in decoding process due to the various reasons. In order to overcome those issues, an efficient decode process of MSI has been proposed in this paper presents. Basically, theMSImethod can be classified into two parts of Encode and Decode. The segregation process for constructing the subbands,8-bit binary conversion process, Inverse substitution process and Decimal conversion process are doing an important role inMSIdecode process. In addition, to measure theMSIdecode performances, the standard parameters are used. This technique is designed mainly for the secret medical image transmission. The secret input image pixels should not be loss while transmitting over the network. In case of loss, it’s very hard to retrieve the original secret image/date during the reconstruction process. This issue has been addressed byMSIdecode process. In result, the original secret image can be restored 100% from this technique, the decode time is minimum than the conventional methods, the replica of the cover or known image can be obtained. However, the main advantages of this technique are easy to handle, more complex and strength than other methods, a perfect reconstruction without any loss and less execution time.
Automatic Weed Detection and Smart Herbicide Sprayer Robot
Authors: Y. Rajaa Vikhram G , Agarwal Rakshit , Uprety Rohan , N.S. Prasanth V
Published: July 2018

The ordinary method for murdering weeds (unwanted plants) in a harvest manor is to shower herbicides all over the estate. This outcomes in defilement of the sustenance crops and furthermore the yield turns out to be less as a portion of the production plants pass on alongside the weeds. In this way, there is a requirement for a brilliant weed control framework. In this venture, a picture handling calculation is utilized to take pictures of the manor columns at consistent interims and after recognizing the weeds in the captured image, the weed killer chemical is showered specifically and just on the weeds. The herbicide is put away in a compartment fitted with water pump engines joined to shower spouts. After the weeds are recognized, a flag is signaled from Raspberry Pi to the motor driver IC governing the water pump motors to shower the chemicals over the unwanted vegetation.
A Comparative Study to Evaluate the Performance of Classification Algorithms in Mammogram Analysis
Authors: K. Sajan S , Germanus Alex M
Published: July 2018

Breast cancer is a major threat humans are facing irrespective of geographical limits. The awareness about breast cancer has increased during the last decade and many preventive measures were in practice to detect the breast cancer before the symptoms were felt. Mammography is a screening methodology currently in practice. In this paper the mammogram image is analyzed using automated system. The automated system is designed to be capable of distinguishing the mammogram image into a normal or malignant. This process involves image enhancement and image segmentation at preprocessing level. Histogram equalization technique is used to transform low contrast region of the mammogram into region with higher contrast and Fuzzy C Means (FCM) algorithm is used to segment the mammogram image into regions suitable for further analysis. After enhancement and segmentation at preprocessing level the classification is done using three classification algorithms like decision tree classifier, Neural Network classifier and Support Vector Machine (SVM). The performance of the classification algorithms is evaluated using the following criteria like speed, flexibility, robustness, scalability, interpretability, Time complexity and also based on accuracy, sensitivity and specificity. The results obtained in classification are compared with other classification algorithms. It is found that the neural network classifier approach produces better results compared to other classifiers.The average accuracy in diagnosis by Neural Network approach classifier is around 91%.  Also it is found that the decision tree approach is much flexible and easy to use compared to other approaches.
Comprehensive Analysis of TIG Welded Inconel–718 Alloy for Different Heat Input Conditions
Authors: Jerold Jose P , Dev Anand M
Published: July 2018

In this research, the effects of heat input on tensile properties and microstructure were investigated for super alloy Inconel-718 sheets weld by Tungsten Inert Gas (TIG) welding process. The tensile properties and microstructure of weld joints were evaluated. The experiment was conducted with six different combinations of welding parameters like welding current, voltage and welding speed, which were give in six different welding heat input combinations of welding parameters. The experimental results shows that the welding joints weld with low welding heat input was yield higher tensile properties. From the experimentation it was understand that the tensile properties increases when the welding heat input decrease. Drastic grain coarsening was evidenced when the heat input was increases. For the weld joints experimented in this research it was also observed that amount of laves phase was increased with increase in the welding heat input which is the major fact for noticeable variation in the ultimate tensile strength of the weld joints welded by TIG welding process with different welding heat input.
Object Recognition Using Keras with Backend Tensor Flow
Authors: Bandi Raswitha , Amudhavel J
Published: July 2018

Now a day’s Machine Learning Plays an important role in computer vision, object recognition and image classification. Recognizing objects in images is an interesting thing, this recognization can be done easily by human beings but the computer cannot. The Problem with traditional neural networks is object recognition. So, to avoid difficulties in recognition of objects in images the deep neural networks especially Tensor flow under Keras Library is used and it will improve the Accuracy while recognizing objects. In this paper we present object recognition using Keras Library with backend Tensor flow.
Analyzing Geographical Events Map Reduce
Authors: Anitha G , Jyothi K , Susmitha Valli G , Karthik R , Padmaja B
Published: July 2018

The huge information gathers huge volume of information; it is extraordinary computational test for the huge Hadoop information to keep up and process this information and furthermore removes valuable data in a proficient way. Land occasions will occur far and wide as one of the primary worldwide risks expanding under worldwide environmental change lately. Which raise the significance of avalanche events, with the point of diminishing their results we are utilizing Guide Lesson for dissecting these occasions in various regions in like manner with period.
An integrated bayes soft switching interleaved and sliding window PWM for DC-DC boost converter
Authors: Puviarasi R , Dhanasekaran D
Published: July 2018

In order to develop the efficient dc-dc boost converter in high output power application, an Integrated Bayes Interleaved and Sliding Window (IBI-SW) based PWM framework is proposed. Initially, the integration of interleaving and PWM improves the power factor correction in very high output power applications (photovoltaic panels) and near optimal voltage and current losses. Multiple phase shifts with soft switched Bayes interleaving technique maximizes the power generated in photovoltaic panels and the optimization of power conversion is achieved with sliding window based PWM that performs Maximum Power Point Tracking (MPPT) algorithm on the PV cells connected to the converter. The proposed dc-dc boost converter is efficiently tested on various load conditions for measuring the scalability of IBI-SW framework in multiple high power demanded application. When compared with traditional model, the simulation result of proposed IBI-SW based PWM framework demonstrates that the dc-dc converter improves the power generated in photovoltaic panels accurately and rapidly.
Internet of Things (Iot) Based Smart Water Quality Monitoring System
Authors: Spandana K , R. Seshagiri Rao V
Published: July 2018

The economical and effective system of water quality observation is the toughest implementation of impure water. Drinking water could be terribly precious for all people as water utilities face more challenges. These challenges arise due to high population, less water resources etc. So, different methods are used to monitor in the real time water quality. To make sure that safe distribution of water is done, it should be monitored in real time for new approach in IOT based water quality has been projected. Real time water quality observation is monitored by data acquisition, method and transmission with increase in the wireless device network technology in internet of things. The measured values from the sensors are interfaced by microcontroller and the processed values remotely to the core controller ARM with a WI-FI protocol. This projected water quality observation interfaces sensors with quality observation with IOT setting. WQM selects parameters of water like temperature, pH level, water level and CO2 by multiple different device nodes. This methodology sends the information to the web server. The data updated at intervals within the server may be retrieved or accessed from anyplace within the world. If the sensors do not work or get into abnormal conditions then a buzzer will be ON.
Multi Criteria Decision Analysis (MCDA) Framework for the Integrated Urban Water System
Authors: Shrivastava Pooja , K. Verma M , Murmu Meena , Ahmad Ishtiyaq
Published: July 2018

Over the past century urban water system of developed and developing cities are under increasing stress as water dearth.  The estimation of possible solutions for water management in megacities requires the spatially distributed dynamic and grid-based replication of the evolution of public water infrastructure under consideration of changes (e.g. climate, global, environment, economy, and land-use). These simulations can be realized with the help of frameworks for integrated urban water system. The MCDA framework for integrated approaches of urban water system is characterized as single system (COMBINED SEWER SYSTEM) and entire system (WATER DISTRIBUTION, SEWER NETWORK etc.) investigation with consideration of decentralized system and spatial-temporal interactions and the dynamic feedback of population models to water infrastructure. Urban water system needs the frame work which will meet the sustainable needs of future. The present work identifies the best solutions for existing problems in urban water infrastructure while making interaction with stakeholders to reach sustainable framework for urban water management in this water dearth regions. This framework will provide new knowledge of sustainable integration system between the social and environmental issues.
AAGC-Autonomous Armed Guard Companion
Authors: Deepak D , Dinesh Kumar A , Gokulakrishna M
Published: July 2018

Technology has revolutionized human world over the past centuries. The world has started to move towards the autonomous world. However, in terms of security and safety of humans from antisocial threat person, technology has not achieved its peak in providing autonomous system. Places such as airport, railways stations, and malls are well secured either by metal detectors or by manual scrutiny. Moreover, the current scenario demands a very high security in common places such as hospital, schools, and community halls where manual security checks might not be possible. In this work an autonomous system is developed to detect and track concealed weapons with potential to stop the threat person before causing any harm or danger. The system achieves its task by carrying out three main functions in a sequential order. A microwave sensor and metal detector together detects the concealed weapon by means of the Doppler shift in the radiation and eddy currents induced in the metal respectively. Secondly, the output voltage from the microwave senor is processed by a microcontroller. Lastly, a DC motor attached with a laser pointer, receives input from microcontroller such that rotates in a direction pointing the concealed weapon.
A Green Approach to Preparing Bio-Inhibitor for Mild Steel Corrosion in Different Acid Mediums
Authors: Poongothai N , Athira R , K. Neena P
Published: July 2018

Inhibition efficiency (I. E) of various concentrations of Carica Papaya (C. P)extracts on the corrosion of mild steel (MS) in 1M HCl and 0.5M H2SO4medium was investigated by weight loss and electrochemical methods at room temperature and elevated temperature. Acid extract of C. P was characterized by using FTIR and XRD spectral studies to identify the major constituents present in it. Zeta potential and EDAX analysis were carried out for the extract to identify electrochemical aspect of a particle’s surface, and information about a particle’s dispersibility, aggregability, and adhesion ability can be obtained from this measurement.  Surface analysis studies such as FESEM and contact angle measurement were carried out for the C. P extracts to locate the surface coverage of the inhibitor and confirm the hydrophilic nature on the metal surface. Langmuir and Temkin adsorption isotherm confirm the mono layer adsorption and heterogeneity of the MS surface. Thermodynamic data’s such as activation energy, Gibbs free energy, enthalpy and entropy changes were calculated using weight loss measurements data at room as well as elevated temperatures and identified free energy of adsorption and exothermic reaction taking place during corrosion process. Phytochemical studies confirm the presence of chemical constituents with hetero atom that provide more I.E due to its adsorption of inhibitor on metal surface.
Hierarchical Honey Bee Model to Avoid Sleep Deprivation Attack in MANET
Authors: Madhurikkha S , Sabitha R
Published: July 2018

Ad-hoc networks are highly vulnerable to the attacks due to the dynamic nature of the network topology, lack of centralized management and cooperative algorithm. Nodes in the ad-hoc network are responsible to transmit packets to other nodes. One of many different kinds of attacks, a node may experience the exhaustion of power by consuming its batter power. Routing protocol controls the packet transmission over the network and calculates the routing path for transmission. The predefined static routed path is limited in ad-hoc network, and nodes have limited energy that is depleted due to transmission. Sleep deprivation attack constantly drops the power source on a particular node until the node gets shutdown. We have proposed an effective model named Honey-bee model to enhance Ad-hoc On-Demand Distance Vector Routing algorithm. Hierarchical clustering method is used for the formation of the cluster of nodes. Based on this approach, each node is assigned with a cluster that prevents the attack. We have simulated in ns2 tool compared results with other on-demand routing protocol such as Power Aware Routing Protocol, Dynamic Source Routing, Flow-State extensions to Dynamic Source Routing and AODV.
Root Cause Detection for Excess Control Rod Vibration in Fuel Injection Pump Using Shainin Methodology
Authors: Sherugar Shivdarshan , Jaychandran K
Published: July 2018

Fuel Injection Pump (FIP) is one of the important component of any engine and any issue related to FIP will directly affect the engine. One such issue is excess vibration at full load in multi-cylinder fuel injection pump. Many problem-solving techniques are used in manufacturing industries to reduce rejection rate caused in production line and to improve quality of a product. This study mainly focuses on shainin methodology integrated with six sigma DMAIC, in which various steps were followed to detect and validate the root cause for causing excess vibration of control rod in A-type fuel injection pump.