bluuebunny/crossref_metadata_2025_split huggingface dataset:
Effects of crowd behavior on dynamic responses of permanent grandstand structure
Authors: Thasrifa M , Thowsif Mohammed , Ramaswamy K P 
Published: December 2020

Abstract
Constructions industry’s novel design and technological development have resulted in an enhanced use of slender structures having low natural frequency. The overwhelming happiness in concert, shows, sporting events etc., potentialize enthusiastic behaviour of people causes dynamic crowd load i.e., synchronized rhythmic movements may excite supporting slender structures such as stadium, grandstands, auditorium, bridges, malls and convention centre. The combination of slender structures with dynamic crowd load makes the structure easily vulnerable to excessive vibrations and dangerously affects the safety and comfort of occupants. Hence the vibration problems due to increased structural slenderness and dynamic crowd excitation have become more common. So studies regarding the behaviour of dynamic crowd load are mandatory. The present work aims to find out the behaviour of permanent grandstand structure under dynamic crowd load. Here we investigate the behaviour of grandstand structure considering load at different frequency of jumpers in the range of 1.5 Hz to 3.5Hz, different types of activity such as normal jumping, high aerobics and low aerobics and various percentage of active crowd with total crowd, also the effects of rake angle on the structure to reduce the vibration. Active dynamic crowd load was analytically developed as taken from BS 6399-Part 1 and generated as time history and applied to the structure. The passive live load as taken 5kN/m2 specified in IS 875 (Part II). A three dimensional finite element model is used to model the grandstand structure. For modelling the grandstand structure and dynamic analysis finite element software, SAP2000 was used. The results obtained are compared in form of horizontal frequency, vertical frequency, acceleration, displacement, shear force and bending moment.
A study on partial and full replacement of fine aggregate in high-performance concrete with granulated blast furnace slag
Authors: Srinivas Dodda , Chitirala Hardik , Srinivasarao C H , Adak Dibyendu 
Published: December 2020

Abstract
The influence of the partial / full replacement of fine aggregates with granulated blast furnace slag (GBS) and its effect on mechanical strength and durability properties (acid attack) of high-performance concrete of grade (M60) had been studied in the present work. The high-performance concrete mix had been designed in such a way that one group with natural sand and another with manufactured sand (Quarry dust). Each group of concrete mix with natural and manufactured sand consisted of five sub-groups, having 0%, 30%, 50%, 80% and 100% of GBS content. Other pozzolanic materials such as fly ash and silica fume were also employed to replace ordinary Portland cement (OPC) at 20% and 8% respectively, with a constant w/c ratio of 0.32 for the desired slump of 100 mm. According to the results, all the replacement levels of fine aggregate by GBS proved to enhance the mechanical and durability performance of concrete. It is concluded that the high-performance concrete can be produced by utilizing 100% GBS as fine aggregate, with improved mechanical and durability performance.
Seismic performance of exoskeleton structures in irregular buildings
Authors: Vijayan Vivek , Sajeeb R 
Published: December 2020

Abstract
Exoskeleton Structure is a diagrid like structure used for retrofitting existing structures. This paper evaluates the seismic performance of exoskeleton structures on buildings with plan irregularity. Linear dynamic analysis using Response Spectrum method is carried out. L shaped buildings frames with A/L ratios of 0.15, 0.30 and 0.50 are considered in the present study. The results show that exoskeleton structure is capable of reducing response parameters such as shear force, floor displacement and forces in columns.
Durability studies on blended cement paste exposed to ammonium chloride environment
Authors: Babu Sheba , Sahad Mohammed , Vijeesh K P , Syamjith C K , Raneesh Mohammed , Ramaswamy K P , Nazeer M , Thowsif Mohammed 
Published: December 2020

Abstract
The exposure of concrete systems in ammonium based environments can be considered as an aggressive medium which can induce severe and premature deterioration, thus adversely affecting the durability of concrete structures. This paper aims to understand the degradation kinetics of cementitious systems made with Ordinary Portland Cement (OPC) and various combinations of Supplementary Cementitious Materials (SCMs) exposed to chemical grade ammonium chloride (NH4Cl) solution. For this study, the cement paste specimens were exposed to ammonium chloride solution in two different concentrations (1.25 M and 2.5 M) for an exposure duration of two and half months. The kinetics of degradation were evaluated on the basis of changes in mass, visual assessment, changes in thickness and changes in the pH of ammonium chloride solution. Based on the test results, the ternary blended mix with OPC, Ground Granulated Blast Furnace Slag (GGBS) and Silica fume (SF), that is, OPC(50%) - GGBS(40%) - SF(10%) is found to have higher resistance to ammonium chloride attack. The results stress the need to include SCMs and the importance to tailor make the cementitious system for structures exposed to aggressive environment like ammonium chloride.
Experimental studies on pervious geopolymer concrete
Authors: Uma Maguesvari M , Muthaiyan P , Yugasini S , Ammaiappan M 
Published: December 2020

Abstract
The aim of the investigation is to assess the features of the utilization of a geo polymer binder for producing permeable geopolymer concrete. Materials used for producing pervious geopolymer concrete are fly ash, ground granulated blast furnace slag with the proportion of 60:40, sodium silicate solution, sodium hydroxide and coarse aggregate. The strength, functional characteristics and its relationship of the geo polymer pervious concrete were investigated. Compressive strength of geo polymer permeable concrete has enhanced along with the rise in density of Pervious geo polymer concrete. Permeability and voids exhibit a decreasing pattern with the increase in molarity and alkali binder ratio. Based on the strength attainment in the previous geo polymer concrete, it has used as a sub - base and base course of a flexible pavement layers.
Sustainable Production Flexible Improvement by Internal Activities Time Reduction in Manufacturing Industry
Authors: Abdul Rasib A. H. , Mahamad Noor R. , Ahmad M. N. 
Published: December 2020

Abstract
Nowadays, the manufacturing sectors are in the process of increasing their performance to extend productivity because there are so many challenges from competitors in the same sectors, especially in the food industry. The purpose of this study is to propose improvements to increase sustainability of food operation flexibility through secondary data collection, Cause and effect diagram analysis, and the Why-why Analysis tool. Besides, improving the understanding of Single Minute Exchange of Dies (SMED) factors in the production line can be applied by changing the internal activities to become external activities. This study is useful for manufacturing managers and companies who are willing to increase their flexibility and at the same time reduce the changeover time within their available resources without compromising the machine efficiency and cost. In conclusion, this study has provided a better understanding of reducing internal activities that cause high changeover time.
Design and Implementation of Driver Assistance System using Machine Learning
Authors: Bhargava D. S. , Shyam N. , Senthil Kumar K. , Wasim Raja M. , Sivashankar. P 
Published: December 2020

Abstract
The main theme of the work is to detect the traffic sign boards and alert the driver accordingly, which helps in reducing the violation of the traffic rules and also reduces the accidents that occur in day-to-day life. The vehicle will be able to guide the driver by providing the details of speed limit, traffic sign boards in high pedestrian density areas and the driver can change the speed within which the vehicle needs to operate and drive safely. The components that are used in the system design are raspberry pi 3 (module-b), ultrasonic sensor and web camera. The images of the traffic sign boards are captured using a web camera and the speed limit of the vehicle can be changed accordingly by the driver and will not be allowed to exceed the speed limit. In addition this system may help in analyzing the driving pattern.
Re-Distributed Multi-Authority Attribute Based Encryption in Cloud Using CP-ABE Algorithm
Authors: Siddhardha T , Murugaanandam  , Sri Nithin D , Raghuveer V 
Published: December 2020

Abstract
Cloud Computing allows us to store and share the data easily with others. Redistributed “multi-authority Attribute-Based Encryption (ABE)” has importantly implemented for finding the solutions to the problem that which arises from sharing private corporate information in computing of cloud. For Re-distributed multi-authority ABE in cloud devices that don’t believe in a single main authority, collusion resistance are often done employing a universal identifier. so for that reason, identity must be globally managed, that ends up within the critical issues of privacy and protection. The new scheme is implemented that doesn’t use a single main authority in order to co “ordinate users and keys, and only normal trust relations got to be done with sharing the general public key in between each attribute authority” (AA). The “identities of the user are different and different by combination of the user’s identity along the identity of the AA where the user is found”. If a key request must be made to the authority outside of the domain, the request must be done by the authority within the present domain instead of by the client’s, so, the user identities should remain secured to the AA outside the domain that can strengthen privacy and protection. Along with that, the main issuing protocol in between Attribute Authority is straight forward because of the results of trusted AA relationship. On top of that, the authority’s extensibility is also supported by the method presented in our paper. The scheme is predicated on order of Composite in which the groups are bilinear. Validation of protection is given which uses the twin system methodology of encryption.
Vehicle Management System To Reduce The Risky Factors Using Embedded Technology Enhanced With Wi-Fi
Authors: Jacintha V , Shakthi Murugan K H , Kaviya S , Hemamalini V , Harini B , Haripriya V 
Published: December 2020

Abstract
Medium to medium is a quickly developing technique, which renders enhanced client servicing, occupation betterments via best usage of assets, enhanced techniques and production via communicating between distant machinery and vehicle Management System. Here, the vehicle status and location can be determined. Vehicle Tracker utilize GPS devices to give an account of the location information to the server. Accident is unplanned harm, is an unwanted, accidental, and unintentional consequence that must have been precluded had considerations and if there is no proper system human lives will be in danger. The main purpose of this technology is to identify an accident and give an indication signal to the control room, so that the affected individual can seek some support. The severity of the incident can be identify from the control room, without going to the sot in person. If this model is fix all vehicle, it will be very useful to identify how many vehicles undergoes in that specified accident and the extent to which it has taken place. In order that the aid from control room will be able to rescue and protect driver or passengers. The present board designed the tracking of vehicle and systems for accidents alert that makes it extremely valuable and utile. This board indicates to us driver abnormal condition and as well as accident identification. It additionally identifies the driver drowsiness.
The advancing assessment of power system stability using smart grid technology
Authors: Merekenov Murat , Tokhtibakiyev Karmel , Bektimirov Anur , Nigmatullin Rassim 
Published: December 2020

Abstract
The paper proposes new method for assessment of power system stability. New method based on advancing approach to determination of stability limits. The paper represents more accurate and reliable ways to determine limits for power transmission through the grid. Nowadays, the static stability limits formed by using special software which solves nonlinear equations of the electrical system. Power systems control power flows through the power lines for avoiding black outs by using automated control systems. Automation thresholds depend on the maximum power transmitted through the line or section, and the maximum transmitted power is calculated using the iterative methods. But the calculations in this way are not sufficiently accurate and flexible, since the calculations are done for the entire system, and not for each section individually. And it means the limits on certain sections and lines can vary. The proposed method differs from the existing one in a way it determines the limits using the angle shift between the voltage phasors in the nodes in real time. It makes possible to more deeply and adaptively manage. Also proposed new control algorithms which determines stability boundaries in advance. Algorithm was verified through experimental studies on physical model of the power system.
Innovative and Smart Methodology towards Kidney Disease Detection in Earlier Stage
Authors: Karthi S P , Guganesh S , K Kavitha K , Dinesh Kumar J R , Selvakumar D 
Published: December 2020

Abstract
In modern era of medical field, kidney diseases are the foremost common diseases found in the majority of the populations in subsequent years. The essential is diagnosing the problem and however advanced task that ought to be accomplished precisely with proficiently. In most of the cases, kidney condition leads to loss of life. Diagnosing could be a tough thus the intention of the research is to develop a neural-trained system to spot kidney condition risk of the patients. The Artificial Neural network will collect the data from the previous method and it will be helpful to identify the chance factors on the premise of provided data. This paper uses neural techniques for diagnosing of the kidney disease. MATLAB simulation was employed as a development tool.
Deep Learning Based Lung Cancer Detection and Classification
Authors: Kalaivani N , Manimaran N , Sophia Dr. S , D Devi D 
Published: December 2020

Abstract
Lung diseases are indeed the lung-affecting diseases which impair the respiratory mechanism. Lung cancer has been one of the leading causes of mortality in humans worldwide. Early detection can enhance survival chances amid humans. If the condition is diagnosed in time, the average survival rates for people with lung cancer rise from 14 to 49 percent. While computed tomography (CT) is far more effective than X-ray, a thorough diagnosis includes multiple imaging approaches to support each other. A deep neural network for detecting lung cancer from CT images is developed and evaluated. For the classification of the lung image as normal or malignant, a densely connected convolution neural network (DenseNet) and adaptive boosting algorithm wasused. A dataset of 201 lung images is used in which 85% of the images are used for training and 15% of the images are used for testing and classification. Experimental results showed that the proposed method achieved an accuracy of 90.85%. Keywords: DenseNet, Image Processing, Deep Learning, Convolution Neural Networks (CNN).
Implementation of high performance traffic management system using novel blockade mechanism
Authors: Ram Prasanna K , Menaka R , Pavan Ram P , Rithul M 
Published: December 2020

Abstract
Traffic in cities is one-sided during peak hours in a day, these traffics are uncontrollable with traffic management alone because it might cost fuels for opting long distance. Mainstream roads which connect important areas come under non extendable category, government spends a lot of money to buy the lands from the public and make alterations in electric cables, drainage system, platforms etc. Heart areas of cities need investments which take a big part in development budget. So in the proposed work, a novel method is introduced where movable pole blockades are controlled using IoT & intelligent traffic monitoring. As per survey, the two way roads having three lanes on each side can be used in 2:4 and 4:2 ratios, this method is cost efficient as it consumes only one third the amounts of usual practices. The traffic congestion is detected using video cameras incorporated in ATS (Area Traffic System). When the density of the vehicles cross the threshold for more than a period of time then an adaptive method is implemented to overcome one-sided traffic congestion. It can pave the way to delegates (VIP’s) and even national emergency teams/ambulances/fire extinguishers to cross an area without disturbing the public. These poles are a one-time investment and digital signboards on it will indicate the subject change like converging/diverging of roads, VIP usage etc. the other two lanes can be used by the public for LMV (Light Motor Vehicle) and HMV (Heavy Motor Vehicle) including public transportation. This method can be altered from signal to signal and also in between the signals in case of roads meeting perpendicular to the lanes. Mono directional traffic is common in and around the world where population densities are highly influential in time and fuel wastage.
Multi Path Routing Technique Based RRP for P2P Network
Authors: Christo Mary Subaja , Bommi R. M. , Mariyappan K. 
Published: December 2020

Abstract
All articles must contain an abstract. Peer to Peer (P2P) network is useful for developing applications and downloading files from the internet. In the existing P2P networks, communication is initiated and supported by peers. Security issues constitute the main challenge in the design of reliable communication techniques for P2P networks. In the past, Rumor Riding Protocol was used in distributed systems for performing coordination and communication. However, the existing Rumor Riding Protocol is used flooding technique to forward the response to the initiator it may leads high network traffic to avid this I have Enhanced Multi path forwarding technique to Rumor Riding Protocol and also enhancement with security features to make them suitable for downloading applications in P2P networks. In this method, it enhances the Rumor Riding Protocol with security features by including a Cryptographic Puzzle, a Challenge Question scheme using trust modeling and an intelligent beta reputation model for secured communication in P2P networks. For this purpose, five new techniques are proposed in this research work, all of which aim at enhancing the security of communication using Rumor Riding Protocol in the P2P networks.
RETRACTED: An Image Processing based Fault Detection in Fabrics
Authors: Jacintha V , Shakthi Murugan K H , Kumar Karanam Arun , Devi S , Saravanan G , Shyam Ganesh D 
Published: December 2020

Abstract
There are several defect that are occurring in fabrics they occur in the form of a hole, mark, improper stitch, oil stains, missed threads etc. The common thing about these defect are, they cannot be viewed by the naked eye. Hence we firmly say that they defects cannot be effectively identified by manual inspection. However, a much-automated method of inspection is essential. Hence, we are going for computer vision based defect detection. The primary requirement about computer vision is a full-fledged camera that can capture even minute defects. We use K-means clustering along with FCM segmentation in order to segment the flaws efficiently. The classifier used here is SVM classifier, with sensible classification rates of up to 98.9%.
Design And Implementation Of Iterative Dct Using Concurrent Loading For Image Encoding
Authors: Jessintha Dr. D , Aishwaryalakshmi P , Divya U , Gayathri H 
Published: December 2020

Abstract
Discrete Cosine Transform (DCT) is the most widely used transformforsignal compression in many image and video processing applications. Spatial signals are transformed to frequency domain in which the signal is broken down into different frequency components Through DCT. DCT is generally used for image compression but also for noise reduction in images. But various digital architectures developed for computing DCT for images require large computations resulting in a complex and costly design. So a design of an advanced model of parallel DCT with iterative looping structureis proposed to process images. The benefit of such 8-point iterative DCT architecture is that it improves the resolution of the input image thereby utilizing low power principle and finally transforms the image data with reduced errors. The iterative DCT used in this system results in reduced processing time. The digital architecture used for the image processing follows distributed arithmetic algorithm. As a result, the proposed system achieves an area reduction of 47% and an energy reduction of 65.55%.
Geometric characteristics of the pipe in pipe type device with a screw heat exchange element
Authors: Vorontsova Valeriya Leonidovna , Bagoutdinova Alfiya Gizzetdinovna 
Published: December 2020

Abstract
To increase the thermal and hydrodynamic efficiency of tubular apparatuses, it is necessary to develop new designs of heat-exchange elements, which are distinguished by high thermal efficiency, manufacturability and low cost of production. In the work, it is proposed to use screw pipes as heat-exchange elements of tubular heat exchangers, since they have a higher degree of surface development compared to smooth-tube elements. The manufacturing technology of such pipes can be carried out in the cold state by the method of rotational forging (rotational compression), which is one of the varieties of the forging process and implemented on special rotary forging machines. To determine the heat transfer coefficients in the screw heat exchange elements mounted a special experimental setup. The main part of the installation is a pipe-in-pipe type heat exchanger, the heat exchange element of which is made in the form of a screw pipe. A experimental research technique has been developed, and the results of physical experiments on heat transfer, as is known, are generalized by criterion equations in which an equivalent diameter is used as a characteristic size. In this regard, the authors proposed a method for calculating the basic geometric characteristics of a screw heat-exchange element, and also obtained formulas for calculating the equivalent diameter of the pipe and annular space in a tube-in-pipe apparatus with a screw heat-exchange element. The results of this work can be used in the calculations and design of new promising heat exchange equipment.