bluuebunny/crossref_metadata_2025_split huggingface dataset:
Modeling of Waste Material Costs on Road Construction Projects
Authors: Waty Mega , W. Alisjahbana Sofia , Gondokusumo Onnyxiforus , Sulistio Hendrik , Hasyim Cholil , Ikhsan Setiawan Muhammad , Harmanto Dani , Saleh Ahmar Ansari 
Published: April 2019

Material waste is a term from the amount of waste material percentage and is one of the serious problems in the implementation of road construction project. The research objective is to calculate the average percentage of waste material in road construction projects and obtain waste material influencing profit and make a regression model of % material waste to % profit contractors. The data obtained are 158 projects in East and North Kalimantan divided into 51 road building projects and 107 road improvement projects. The percentage of waste material on road building project is B aggregate as the largest (26%) and ready mix concrete (5.3%) as the smallest. The percentage of waste material on road improvement project is B aggregate as the largest (24.2%) and ready mix concrete (6.14%) as the smallest. The influencing waste material on the road construction project is B aggregate, lean concrete and ready mix concrete with regression equation to determine the estimated % profit contractor as a function of % material waste is Y = 7.363 -0.032 X3 - 0.078 X4 - 0.066 X6. The influenced waste material on road improvement projects are cement, B aggregate, and Land Fill with the regression equation to determine the estimated % profit of contractor as a function of % material waste is Y = 8,702- 0,037 X4- 0,054 X5- 0,044 X7.
A Study on Mechanical Properties of Conventional Concrete and Coconut Shell Concrete by Replacing Cement with Silica Fume
Authors: R.Prasath Kumar V , Gunasekaran K , K P Sreerag 
Published: April 2019

High standing estimation of building materials utilized for development is a component of incredible concern. Coconut shell as a completely substitution in the place of coarse aggregate may totally effective for designers in construction industry. The coconut shell concrete is a light weight solid which may decrease the self-heap of a structure. The under taken project depends on inspecting attributes of coconut shell concrete when contrasted with conventional concrete. Coconut shells going from 10mm strainer and held on 6.3mm were considered to utilize for this study. For the current study M100 grade concrete is used to cast the specimens. The principle properties considered testing on coconut shell concrete and conventional concrete is compressive strength, split tensile strength and flexural strength. Examples were taken by supplanting coarse aggregate with coconut shells completely and cement is supplanted by silica fume with various extents of 5%, 10%, 15%, 20%, 25% for compressive strength test and tests were done at 3, 7, 28, 56 and 90 days of curing, it is observed that the ideal compressive strength outcomes were obtained at 10% of silica fume. The flexural strength and split tensile strength of the specimens are calculated with replacement of cement by silica fume with different extents of 0%, 5%, 10% and 15%, tests were done at 3, 7 and 28 days of curing. The optimum replacement percentage of cement by silica fume is 10% for compressive strength, split tensile and flexural strength. The primary principle is to lessen the utilization of natural aggregate by supplanting them with coconut shells and to decrease the density of concrete which makes concrete for simple dealing.
Cooperative Spectrum Sensing Based on HML and Vector Quantization for Cognitive Radio Networks
Authors: Alpna Shweta , Mukherjee Amrit , Datta Amlan 
Published: April 2019

The proposed work illustrates a novel technique for cooperative spectrum sensing in a cognitive radio (CR) network. The work includes an approach of identifying secondary users (SUs) based on Hierarchical Maximum Likelihood (HML) technique followed by Vector Quantization. Initially, the arrangement of the SUs are been observed using HML with respect to a spatial domain and then the active SUs among them are identified using VQ. The approach will not only save the energy, but the decision of the real-time and dynamic cooperative communication network becomes more accurate as we can predict the behavior of SUs movement and spectrum sensing by each individual SU at that particular place. The results and simulations of the real-time experiment justifies with the proposed approach.
Digital Watermarking using Lifting Wavelet Transform of Crowd Sourced Images
Authors: Kumar Shrivastava Shailesh , S.K. Mahendran Dr 
Published: April 2019

Capturing of digital images through Mobile based e-governance applications are growing day-by-day and issue related to protection of copyrights of digital images has become very critical. Protecting these high-volume geo-tagged time stamped digital images captured through android apps and ensuring that these images are suitable for social audit are key challenge for today’s application development. Digital image watermarking is a process by which secret information can be in digital images so that it is possible to guard copyrights. The paper discusses an efficient digital image watermarking system using lifting wavelet transform. The proposed algorithm aims to minimize distortion of selected watermarked image. The performance of the algorithm has been tested using available images with MATLAB and their results have been properly analyzed with existing methods. The variance value between coefficients of lifting wavelet transform (LFT) in a block with size 2 x 2 has been chosen for embedding the binary watermark and the blocks are also then shuffled randomly. The result of various experiments has demonstrated that the developed algorithm is robust against various types of attacks being applied.
On the Issue of Neural Modeling of Some Dynamic Parameters of Earthquake
Authors: P. Haritonova L 
Published: April 2019

The author has attempted to refine the methods for modeling seismic effects. It is shown that applying the neural modeling and Artificial Neural Networks (ANN) are very prospective for analyzing such dynamic parameter earthquake foci as the moment magnitude. The further two input signals have been utilized: the power mode as well as the quantity of quakes. The author performed the analysis of regression for the predicted results and the target outputs. The article presents the equations of the regression (empirical dependences) for the outputs and target as well as the correlation factors for learning, assessment, checking, and the overall for the newly developed structure ANN for the moment magnitude. The use of the outcome obtained in this paper for the seismic designing and constructing structures and buildings will provide the conservation from possible consequences of earthquakes, reduce negative consequences for industry, the economy as a whole and human life.
Design & Simulation of Flexible Control For 3-phase Grid Connected Solar PV System
Authors: Srinivasan R. , R.Balamurugan C. , Shanmugasundaram N. 
Published: April 2019

A non-linear control progression for 3-stage (phase) lattice (grid) associated of PV generator is proposed here. This system is designed with PV arrays; grid filter; a voltage source inverter and a stimulating lattice or network. The regulator purposes are classified into three sections: i) making sure that the Most power point tracking (MPPT) are having photovoltaic boards, ii) assuring for power or control factor entity or unit in the grid plane iii) ensuring large-scale asymptotic constancy of the closed loop system. Lyapunov modelling approach is used by the controller and carried out by considering nonlinear model of the integral method. It is formally shown that the projected system controller congregates the scope of the objectives using a hypothetical constancy with stability analysis as well as simulation results.
Implementation of Artificial Neural Networks for Prediction of Chloride Penetration in Concrete
Authors: Ahmed Mohamed Osama , Ati Modafar , Al Hawat Waddah 
Published: April 2019

Artificial Neural Networks (ANN) has received a great attention from researchers in previous decade to predict different aspect of engineering problems. The aim of this research is to present an implementation of ANN to predict the Chloride penetration of self-consolidating concrete (SCC), containing various amounts of cement replacement minerals including fly ash, silica fume, and slag. The ability of concrete to resist chloride penetration is measured using Rapid Chloride Penetration (RCP) test through an experimental program. One- and two-layer ANN models were developed by controlling the critical parameters affecting chloride penetration to predict the results of RCP test. The ANN models were developed using various parameters including ratio of water-to-binder (w/b), course aggregate, fine aggregate, fly ash, and silica fume. It was shown that the prediction accuracy of ANN models was sensitive to combinations of learning rate and momentum. Data used to train and test the ANN were obtained through an experimental program conducted by the authors.
Analysis of Faculty Teaching using Multi-criteria Decision Making Approach
Authors: Ghosh Dhrubajyoti , Pal Anita 
Published: April 2019

In order to maintain a good standardof any college, the institution should follow paper based approach or web-based approach to gather student feedback on faculty teaching to maintain the qualities of the faculty. Students have very much concerned about their teachers who have played a vital role in their life in both outside or inside of the institutions which helps them to justify a teacher and it comes in form of their feedback. In this paper, we introduce a ranking method of the given feedback's factors of teacher's performances with the help of multi-criteria decision making approach using neutrosophic logic. We use the score and accuracy functions and the hybrid score-accuracy functions of single valued neutrosophic numbers (SVNNs) and ranking method for SVNNs.
Cloud-based solutions to the levelling education in physics in the context of Latvian education
Authors: Juskaite Loreta 
Published: April 2019

With the rapid development of new technologies, the priority directions and goals of education are also changing. As the intensity of life is constantly growing, it requires new solutions. There is a high demand for not only different teaching materials, but also for a different organization of the learning process, a different educational policy, as well as the opportunity to quickly and continuously introduce new solutions. In 2017, “i-Zvaigzne.lv” publishing company presented a new cloud-based solution [1] "Online Tests in Physics for Grade 12" and [2] "Physics: High School course!" These are extensive electronic collections of online learning tasks, tests, tasks solution examples and tasks for self-testing in the Latvian language. The aim of the research - to theoretically analyse and empirically justify the use of cloud services in the context of levelling education.
Non-Classical Resource Approach as A Strategy for The Internationalization of Enterprises: Objectives Against General Obstacles
Authors: Popławski Łukasz , Szymczyk Katarzyna 
Published: April 2019

The authors of the paper discuss the basic foundations of internationalization of private enterprise, related concepts of international business management, as well as key determinants and tendencies prevailing in contemporary realities of business management in global conditions. The main objective of the paper is to analyze the issues concerning the operation of enterprises in the international environment based on the concept of non-classical resource approach. The authors focus on interpreting the elementary categories of strategic management in relation to the phenomenon of internationalization, external and internal factors affecting the internationalization of enterprises, and, in terms of the non-classical resource approach, they evaluate to what extent the owned or required resources may determine the functioning of the company in the foreign markets.
Single-Camera Computer Vision Algorithm for Robot Shortest Path Estimator using morphological structuring element with variable sizes
Authors: Hasan Sami , Th.Yousir Naeem , S. Jumaa Shereen 
Published: April 2019

The robotic challeng of developing and implementing a shortest-path finding algorithm to reach a destination without bumping into obstacles has been tackled in this paper. The proposed algorithm is utilized a single ceiling fixed camera and based on the mask and robot size with different sizes for dilation mask. The implementation has been successfully produced thirty-three computer vision figures and two comparison tables of simulation results by using morphological structuring element with different sizes. This paper’s proposal of optimal path finding algorithm is effeciently save robot energy in reaching targets.
Integrated Framework for Prognosis of Coronary Artery Disease
Authors: Rajeswara Rao D , V.R Murthy J 
Published: April 2019

Coronary Artery Disease, commonly known as Heart Disease, has resulted in casualties all over the world. Currently, diagnosis of these conditions mainly relies on experience of doctors and partly on few decision support systems. Most decision support systems built for this domain have limitations. The major limitation is requirement of huge quantity of historical conditions data and appropriate related diagnosis labels. Proposed framework addresses this limitation by providing diagnosis comparable with existing systems while only taking available data in absence of labels. This is achieved by forming a novel framework using Self Organizing Networks and Learning Vector Quantization. Here, competitive learning paradigm of soft computing is primary focus. Proposed framework is compared with four well established existing systems namely Support Vector Machine, Decision Tree, Random Forest and Multi Layer Perceptron. After comparison and analysis it has been proved that proposed framework gives comparable results even without supplying labeled data.In future this framework can be extended to variegated applications in various domains.
Detection of noxious gases by implementing internet of things technology
Authors: Arun Sai G , Bharat Kumar B , Sai Likhitha K , Anitha Raju 
Published: April 2019

Harmful gas leakage accidents are the main reason for workers death in industries which work mainly using chemicals. Gas leakage can be easily detected and controlled by using latest trends in information technology by applying internet of things. This project intended to avoid industrial accidents and to monitor harmful gases and to intimate alert message to safety control board of industry using arduino Uno r3 and internet of things. Arduino Uno r3 board is used as central microcontroller which is connected with sensor. Such as temperature, gas sensor, alcohol sensor which can continuously monitor respective environmental parameters. Hence this device may be used as multi gases detection apparatus more over the rate of response is high. An alarm is produced instantly if the level of the gases goes above the normal level means indication through the internet specific receiver section. Data received by sensor is stored in internet which can be used for further processing and it can be analyzed for improving safety regulations. This model can be future extended for providing better living environment for people in and around industries with a pollution controlled environment.
A Survey on User Awareness of Cloud Security
Authors: Gudapati Syam Prasad Dr , S. Gaikwad Vidya 
Published: April 2019

The cloud computing technology provides cost effective, powerful computation resources on the fly. It minimizes the need to procure and maintain expensive hardware, software and reserve space for IT infrastructure. These features for cloud computing encourages organizations and individuals to migrate their resources needs and services to the cloud. However, cloud computing services provided by third-party vendors possesses various security threats. The cloud services store sensitive data (such as credentials, personal information, etc.) of various users on the shared environment that escalates security concerns. The aim of this research survey paper are three-fold: i) provides guideline for researchers who are new to the cloud computing security area, ii) provides the state-of-the-art survey of cloud computing security issues and challenges, and iii) provides the further research directions required into security assurance of the cloud computing.
Security Attacks and Challenges of Wireless Sensor Network’s -a Review
Authors: Shaik Riaz , Shakeel Ahamad Shaik 
Published: April 2019

Wireless sensor networks are becoming part of many of the research areas to address different issues related to technological and societal. So, The developments in wireless communication technology have made the deployment of wireless sensor nodes connected through wireless medium, known as wireless sensor networks. Wireless sensor networks have numerous applications in many fields like military , environmental monitoring , health , industry etc.. wireless sensor networks have more benefits over Wired networks .Though there are several advantages of wireless networks, they are prone to security issues. . Security became a major concern for wireless sensor networks because of the wider application. So ,this paper addresses the critical security issues of wireless sensor networks that may encounter in the different layers of the communication protocols like OSI.This paper presents a detailed review on the security issues and its challenges of the wireless sensor networks.
Central Controller Framework for Mobile Cloud Computing and Security Issues
Authors: Sk Mahaboob Sharif Sk , V.V Satyanarayana K , Harsha vardhan M , Harika V 
Published: April 2019

Cloud Computing is an on demand service where resources like online office software and on-line storage are made available as per the users requirement. The word cloud in cloud computing is used as a symbol for internet since it offers various computing services as well as resources like storage, servers, platforms and applications are provided to devices over the internet. Mobile cloud computing joins the cloud computing with mobile computing and giving the shopper with limitless pool of useful resource from cloud without hampering mobility of consumer. The mobile cloud computing generation is developing rapidly many of the customers and at the equal time it introduces the early protection threats inside. A mobile user storing data on the cloud can be read by the cloud service provider or hacked by man-in-middle attack, thus affecting consumer privateers and integrity. So information saved on the cloud have to be encrypted, disallowing unauthorized user to access saved records. Mobile devices are resource constrained since they are battery powered, have less processing power and have less storage space. Any set of rules or technique used for securing mobile users statistics have to don't forget above constraints for powerful makes use of cloud for portable clients. Most of the mobile devices have nearly equal functionalities, so mobile devices will face some problems associated with security and third parties, by this paper we have given a review of different techniques for secure storage of mobile user’s data in the cloud, their merits and demerits for mobile environment.
Design and Analysis of Crane Hook with Different Cross Sections
Authors: Sai Kumar Trinath , . Majeti , Riyaz Md , V.Narayana M , Pathri Murali , Baburaja Kammuluri. 
Published: April 2019

Load is to be transported from one location to other location with the help of heavy vehicles, the load is placed on heavy vehicles with the help of crane or forklifts or conveyer belt, crane hook which bears the entire load. The weight of the load is related to dimensions and material of the hook. The major part which is to be replaced as per load is crane hook, hook is subjected to pressure and bending stress. In the present work the crane hook of different cross sections is being analyzed on model of crane hook. The crane hook is modeled on the Solidworks and analysis using Ansys. From the structural analysis performed on crane hook the stress values based on the model and stress value modifications are found.
Survey on Mobile Malware Analysis and Detection
Authors: Swetha K , V.D.Kiran K 
Published: April 2019

The amazing advances of mobile phones enable their wide utilize. Since mobiles are joined with pariah applications, bundles of security and insurance issues are incited. But, current mobile malware analysis and detection advances are as yet flawed, incapable, and incomprehensive. On account of particular qualities of mobiles such as constrained assets, user action and neighborhood correspondence ability, consistent system network, versatile malware detection faces new difficulties, particularly on remarkable runtime malware area. This paper provides overview on malware classification, methodologies of assessment, analysis and on and off device detection methods on android. The work mainly focuses on different classification algorithms which are used as a part of dynamic malware detection on android.
Effect of the Window Position in the Building Envelope on Energy Consumption
Authors: Y. Azmy Neveen , E. Ashmawy Rania 
Published: April 2019

Windows play a significant role as they largely influence the energy load. Although there are many studies on the energy-efficient windows design, there is still a lack in information about the mutual impact of windows’ size, position and orientation on the energy loads. In this paper, the effect of different window positions and orientations on the energy consumption in a typical room in an administrative building that is located in the hot climatic conditions of Cairo city, Egypt is considered. This case study has been modeled and analyzed to achieve good environmental performance for architectural space, as well as assessing its impact on the amount of natural lighting required by using the Energy Plus program. The study concludes that the WWR (Window Wall Ratio) 20% square north-oriented upper opening consumes 25% lower energy than the rectangular 3:1 opening in the lower west-oriented façade. The upper openings are the highest in terms of light intensity, as they cover about 50% of the room area. The WWR 30% rectangular north-oriented upper 3:1 opening consumes 29% lower energy than the rectangular lower 3:1opening in the façade. Regarding light intensity, the upper openings are the best for natural lighting as the light covers more than 60% of the room area.
Multi Feature Based Classifier for Spectrum Sensing in Cognitive Radio
Authors: C.S Kaushik V , Kolangiammal S , E Manoj Kumar B 
Published: April 2019

Cognitive Radio (CR) is an important technology which can enable the implementation of Dynamic Spectrum Access, which is a paradigm shift from the static spectrum access model. It is an intelligent wireless communication system which can sense the environment and can take decisions to effectively use the available radio resource without creating any interference to the Licensed Primary Users. Hence sensing of the spectrum plays a very important role in the effective implementation of this technology. We propose a new spectrum sensing algorithm in this paper which is based on machine learning and uses a Multi Feature based Classifier (MFC) model for classification of the spectrum.