bluuebunny/crossref_metadata_2025 huggingface dataset:
Integration of GIS, Traffic Volume, Vehicular Speed and Road Grades Related-Air Pollution in Amman
Authors:   Civil Engineering, American University of Madaba, Amman, Jordan., Shehadeh* Eman A.
Published: February 2020

This study involves field data and analytical technique into spatially map air pollution levels on account of traffic volumes, vehicle speeds and grades of roads at relatively high traffic volumes signalized intersections in Amman; capital of Jordan . The study was conducted by collecting traffic and air pollution data at twelve locations in four streets, each street located in a different zone. Also the data collection process was conducted at many highly jam traffic time periods. The highest air pollution level was measured at 7th circle in Abdullah Gosheh street, where was the maximum Average traffic volume. And the least air pollution level of the studied areas was at Anas Bin Malek Street which is located in Ras Al-Ain zone , so that it can be an acceptable residential area. Results showed clearly that the highest air pollution levels found near traffic signals and at the stop lines of them, and theses concentrations decrease while being more far from traffic signals. Also, increasing in road gradients leads to a decrease in speed of vehicles, this leads to an increase in the pollutants concentrations. The highest air pollution concentrations were 0.7, 0.6, 9.9, and 0.6 (in ppm) of NO2, SO2, CO and SPM respectively. The R-square value, square of relative coefficient, of the relationships between NO2, SO2, CO & SPM concentrations and traffic volume were approximately: 0.9135, 0.8822, 0.8977, and 0.8934 respectively. It is noticed that traffic volume is the most significant factor that affects SO2, NO2, CO & SPM concentrations. This research has illustrated that the pollutants’ concentrations are larger than recommended concentrations of World Health Organization (WHO) in most locations of the studied areas, and that showing a necessity for a standard air quality monitoring, traffic management arrangement and effective procedures should be followed to reduce the resulted pollution.
An Intelligent Traffic Light System Based on Piezo- Electric Sensors
Authors:   Department of Mechanical Engineering, ABES Engineering College, Ghaziabad Utter Pradesh, India., Kumar Naveen , Shoaib Syed Mohammad ,   Department of Mechanical Engineering, ABES Engineering College, Ghaziabad Utter Pradesh, India.
Published: February 2020

(A) Objective –The project aim is to make a traffic light that will solve the traffic problem on crossroads by detecting movement of vehicle with the help of piezoelectric sensors and reducing the open time for that lane in which the traffic is low and increasing the green light open time for that lane in which there is a dense traffic. (B) Method- This smart traffic light project required sensor that will sense the vehicle movement and the number or density of vehicle on a certain lane of a crossroad and send logical messages to the micro command that will change the time for opening the green light for a certain lane of crossroad (C) Finding- In current years traffic is automatic and changing of the green light opening time for lane on crossroad is one by one and opening time for all the lane is same and many crossroad traffic are controlled by traffic police .The reliability of those method are less and also its take a men power to operate the traffic . This smart traffic light does not conserve energy for all the operations because the piezoelectric sensor that we are using that will give the power for operating all the systems  It does not take external energy for operating all the operation  The aim of the smart traffic light is to reduce the traffic problems  This project will save the time In my project I used piezoelectric material, which is cost effective. For the communication purpose we have used Zigbee communication is used to communicate between the traffic light and sensor which will calculate the parameter and store the information about the vehicle. Improvement- The entire setup can be connected through the internet of thing (IOT) for process like data extraction. Which is particularly useful for place like four way junctions etc.
FPGA Based Accident Detection and Monitoring System for Safety Traffic
Authors:   Associate Professor, Department of Electronics and Communication Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur, AP, India, Noorbasha* Fazal , Pani K.D.M.Vikash ,   Department of Electronics and Communication Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur, AP, India, Seetharam K. ,   Department of Electronics and Communication Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur, AP, India, Narendra S. ,   Department of Electronics and Communication Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur, AP, India
Published: February 2020

In extremely inhabited countries like India, the population increases day by day because of this problem so many new types of the innovations are developed but in this project mainly focus on the automobiles. For industry reputation purpose car are made with high boost engines which is nearly speed equal to the trains. Due to this over speed so many accident will happen so many lives will lose. Even when the vehicle is travel in unpopular area if there is any accident happen it intimate to the relatives, hospitals and as well as the polis near by the location. In this project first it detects the output from the sensor and that sensor gives the disturbances happen in the directions of the vehicle. And this sensor make to communicate with the other people by using cross communication devices it particularly dedicated for the short range communication. Presently this technology is used in V2V communication .But in this project we mainly focus on the getting the location from the user devices to any other mobile number which are registered before. Major part of the paper we designed in the Verilog implementation whenever the input crosses the threshold voltage it automatically send the information to the user
Data as a Service using Data Hibernation and Service Oriented Architecture in Cloud Computing
Authors:   Assistant Professor, Department of Computer Science and Engineering, University of Kalyani, West Bengal, India., Sarddar* Debabrata , Chakraborty Sougata ,   Senior System Engineer, IBM India Private Limited, Kolkata, India.
Published: February 2020

Nowadays, Cloud Computing is a promising research field. With the advancement of modern technology, performance improvement of the cloud network has become the buzzword today. Here in this paper, we have proposed the new technique, called ‘Data Hibernation’ where service-oriented architecture plays the key role for the improvement of the cloud network. Moreover, we have designed our algorithm and demonstrated our work graphically that how the overall efficiency or the throughput has reached its apex level of Quality of Service with the subtle benefit of much higher degree of parallelism.
Real Time Sobel Edge Detection Based on Reconfigurable Computing
Authors:   Department of Electrical and Electronics Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai, India, Whitin* Priscilla , Jayasankar V. ,   Department of Electrical and Electronics Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai, India.
Published: February 2020

Edge detection is a fundamental operation in many image and video processing applications. It is used in various fields like industries, aerospace, surveillance, medical fields, traffic monitoring system, lane detection, driverless vehicles, crack detection in roads and several other applications. Most of the edge detection algorithms are software based but in real time applications these are not efficient hence in this paper we have explored about Hardware platform. The reason for selecting Sobel edge detection operator is it incorporates both the edge detection and a smoothing operator to provide good edge detection capability in noisy environment. This design uses Verilog HDL language for design and Vivado is used for simulation.
Smart Wastage Segregation using Arduino UNO
Authors:   PG Scholar, Department of ECE, Kuppam engineering college, Andhra Pradesh, India., Malleswari* Miss. E. , Kishore Dr. S. Nanda ,   Associate professor, Department of ECE, Kuppam engineering college, Andhra Pradesh, India.
Published: February 2020

The rates of waste generation in India are increasing with population and urbanization. For reducing pollution levels within the atmosphere it's terribly helpful. The most aim of this project is to segregate the various forms of wastage from the rubbish. This technique uses metal detector and soil wetness detector to separate the metal waste, dry waste and wet waste from the waste within the mud bin. The complete mud passes through the belt. This method uses a metal detector to find the metal elements within the garbage. Once it detects the metal, the system can open the corresponding gate else it'll open other gate. The soil wetness detector can find the presence of the dry waste or wet waste. The system encompasses a dc motors interfaced with the small controller that rotates the belt.
Spoofing Face Detection using LBP Descriptor and KNN Classifier in Image Processing
Authors:   Computer Science and Engineering Department, AP Goyal Shimla University, Shimla, India,, Sharma* Priyanka , Chauhan Neha ,   Computer Science and Engineering Department, AP Goyal Shimla University, Shimla, India
Published: February 2020

Image processing in today’s world used for performing operations on images by using a process of making positive suggestion of face which can be in a photo or video in already existing face database. Extraction of face attributes is done in face detection from photos and also from videos. When any unauthorized person tries to enter in authentication system by presenting fraud image and video is termed as spoofing attack. Biometrics is a technology which recognizes characteristics of human and is prone to spoof attacks. The detection of spoofed faces by recognizing and exploring the fake face and genuine face images is called face spoof detection. The DWT method is used to inspect the textual attribute occurring within the test images. There is a possibility that some unusual disruptions are available like geometric disruption and the artificial texture disruption. Eigen face technique is applicable for taking out attributes. Histogram for every feature or attributes is determined and employed a collation of essence to find out face spoof detection. To explore even if the image is actual and gag, already used approach Support Vector Machine is used. To make face spoof detection more accurate KNN classifier will take the place of the SVM classifier. The Contrast are construct to inspect the performance of the suggest algorithm and the existing algorithm in two parameters accuracy and time of execution. Detection of spoofed faces can be used for security purpose, preventing crime, access control system.
Seismic Response Assessment of Stiffened RCC Frames Located in Gujarat
Authors:   Assistant Professor, Department of Civil Engineering, Mepco Schlenk Engineering College (Autonomous), Sivakasi, Tamilnadu, India., A* Haamidh , J Sivasubramanian ,   Assistant Professor, Department of Civil Engineering, Mepco Schlenk Engineering College (Autonomous), Sivakasi, Tamilnadu, India, C Lakshmivarsha ,   Design Engineer, Keshthana Infrastructure Pvt. Ltd, Chennai, Tamilnadu, India.
Published: February 2020

Past earthquakes in India, China, Nepal and other nations convey that abundant medium to high rise structures suffered major damages, comprising of life and safety of the people. This research compares the seismic response of RCC frames incorporated with different steel bracing systems that are located in Gujarat. The structural performances of the different bracing systems are analyzed for storey heights of 8, 12 and 16 considering the earthquake data of Bhuj. Diverse Structural Configurations like X-Braced Frames (XBFs), V-Braced Frames (VBFs), Inverted V-Braced Frames (IVBFs) and Moment Resisting Frames (MRFs) were taken under study. Three bayed frames with steel braces incorporated in the exterior frames are taken under consideration. The structural responses of these frames in terms of base shear vs. displacement, hinge formation, storey displacements, global damage index, overstrength factor and design factor were studied through pushover analysis. The roof displacement vs. time parameter was evaluated using time-history analysis.
An Experimental Interpretation of High-Performance Fiber-Reinforced Polymer Concrete with FNN Paradigms
Authors:   Research scholar, Stuctural Engineering Department of Noorul Islam College of Engineering, Kumaracoil, Nagercoil, Tamilnadu India., Thomas* Biju C , Jose Dr. Y.Stalin ,   Research supervisor , Associate Professor, Dept of civil Engineering, Malla Reddy Institute of Technology and Science Maisammaguda, Secunderabad, Telangana, India.
Published: February 2020

Strengthening and enhancing of Reinforced Concrete (RC) structural components are important to broaden its administration period, overcoming the first structure limits and to limit the impact of construction defects as well as the design defects. In this work, Fiber Reinforced Polymers (FRPs) is utilized as to strengthen RC structures. In this paper, the utilization of FRP such as Sisal, Jute, and Coir in concrete structures is being examined for its viability in upgrading structural execution both regarding strength and ductility. The structural behavior of FRP specimen is examined by experimental and numerical examination by estimating the parameters, for example, compressive strength, tensile strength, ductility, and deflection. Here, we utilized the Fuzzy Neural Network (FNN) procedure to test the strength of specimen. At the point, when compared with existing work, the proposed FNN model achieves the greatest performance in terms of all parameters for the fiber reinforced specimen under various loaded condition.
Light Fidelity (Li - Fi) Access Point Selection for Heterogeneous Network with Non Overlapping Li - Fi Access Points
Authors:   Department of Computer Science and Engineering,, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai (Tamil nadu) India., Veeramakali* T. , Prabhu S. ,   Department of Computer Science and Engineering, Karpaga Vinayaga College of Engineering and Technology, Chengalpet (Tamil nadu) India., Jayashri S. ,   Department of Electronics and Communication Engineering, Adhiparasakthi Engineering College, Melmaruvath (Tamil nadu) India.
Published: February 2020

Data transmission is a part of our life in today’s scenario. Data communication can be carried out by wired technology and wireless technology. Radio frequency is a part of the electromagnetic spectrum, which is used for wireless communication. Many technologies are used for wireless communication such as Wi-Fi, Blue Tooth, Ad-hoc, and etc. These are all transmitting data through radio spectrum for short distance. New technology called as Li-Fi (Light-Fidelity) is going to be a major wireless communication technology in future. In the proposed system a heterogeneous network has been consider as a system model. Li-Fi technology is having the capacity of low coverage area. So, non movable wireless devices are getting better usage of Li-Fi technology in an indoor environment. For mobile devices need more number of Li-Fi access points. When the user moves from one access point to another access point covering range, the service should be continued without break. System handover is a major issue in the Li-Fi technology. If the user goes out of the range of light emission area, then the user can get the service through Wi-Fi access point. Proposed system focusing on the handover process based on the measured handover efficiency value. Data transmission can be disturbed due to some power failure or LED fault. In this situation immediately the entire load should be handled by the Wi-Fi access point. In such a situation data rate is coming down than the threshold value. So handover process will be handled by the common controller. Data rate is observed when the number of user increased and for variation in channel gain and the simulation results are analysed.
A Trusted Method For Early Data Link Failure Prediction
Authors:   Department of ECE, MLR Institute of Technology, Hyderabad, India., Jegan* Dr. G. , Kamalakkannan Dr. D. ,   Department of ECE, MLR Institute of Technology, Hyderabad, India., Samundiswary Dr. P. ,   Department of Electronics Engineering Pondicherry, University, Puducherry, India
Published: February 2020

Mobile ad-hoc network was widely used in the various fields for several applications. In the field of the wireless sensor network the link failure prediction is still a baffling one. The proposal here provides clear facts about the concepts of the link failure. In this paper the Proficient Trusted Node ID Based Resource Reservation Protocol (PT-NIDBRRP) was used. Here the shortest path was detected by using the weighted end-to-end delay based approach. This algorithm will find the short cut route from the particular starting place to the target and can improve the detection rate. By starting the route detection process the sequence numeral and the hop address is added to the protocol. After detecting the shortest path the link failure was detected. The link failure localization structure in the implemented trusted protocol has the higher ability in predicting and fixing the link failure issues. Then to find out the cause attack for the link failure the posterior probability estimation was used to sort out the type of the attack. At last the performance of the proposed method was evaluated through simulation analysis. The simulation result confirms that the proposed methodology is highly effective in detecting the link breakage and the short path algorithm implemented here will reduces the time period of detecting the shortest path. This method provides trusted secure network time duration, energy values and trust scores play an important role between the source and destination in the network.
Effect of Inhibitor in Suppressing Spontaneous Heating of Coal
Authors:   pursuing Ph.D, Mining Engineering, N.I.T, Rourkela, Odisha, India., Mahananda* Mr. Alok Ranjan , Pal Dr. B. K. ,   Senior Professor, Mining Engineering at N.I.T., Rourkela, Odisha, India.
Published: February 2020

Spontaneous combustion of coal is a natural phenomenon responsible for the burning of thousands of tonnes of coal every year. Normally, when Indian coal gets exposed to air, it catches fire within 9 to 12 months and the application of inhibitors helps in preserving the coal by enhancing its time period (Incubation period). They have the capacity of retarding the spontaneous heating of coal by forming a protective layer around it. This paper deals with four inhibitors and its retardation capacity to spontaneous heating is laid down by experimental investigation. Crossing Point Temperature (C.P.T) analysis and Flammability Temperature analysis (F.T) are the prime method in determining its retardation effect. Coal samples from Mahanadi Coalfield Limited (MCL) were prepared and used for experimentation. Proximate analysis is used to study the composition of coal. The prepared coal sample is treated with inhibitors at three different proportions of 5%, 10% and 15% by wt. Considering the economic and safety application for miner and mining industry, the maximum retardation capacity of an inhibitor at particular percentage is been shown in this paper.
FPGA Implementation of Smart Cryptography Algorithm
Authors:   Department of E&TC, G. H. Raisoni Institute of Engineering & Technology, Pune, India., B* Prathiba , Prasad E. Lakshmi ,   Sr. DFT Engineer, Xilinx India Pvt. Ltd., India., Hulle N. B. ,   Department of E&TC, G. H. Raisoni Institute of Engineering & Technology, Pune, India.., Khope Sarika R ,   E&TC, G.H.Raisoni Institute of Engineering & Technology, Pune, India.
Published: February 2020

Mceliece algorithm is one of the simplest algorithm which is widely used in cryptography application for encrypting and decrypting the data. In the proposed work, mceliece algorithm able to allow an infinite number of characters, but for every nine characters, it considered as one iteration due to the fixed length of matrix size (3*3). Findings: This mceliece application running over micro blaze processor, and this processor implemented on Spartan-3E FPGA. The entire experimental setup is implemented using Xilinx platform studio 14.3 and targeted on Spartan 3E-1600E FPGA.
Template Based Pose and Illumination Invariant Face Recognition
Authors:   Assistant Professor, Department of CSE, University College of Engineering KU, Kothagudem (Telangana) India., T* Archana , Venugopal Dr. T. ,   Professor, Department of CSE, JNTUH College of Engineering Jagityal Nachupally, Karimnagar (Telangana) India.
Published: February 2020

This article presents a method “Template based pose and illumination invariant face recognition”. We know that pose and Illumination are important variants where we cannot find proper face images for a given query image. As per the literature, previous methods are also not accurately calculating the pose and Illumination variants of a person face image. So we concentrated on pose and Illumination. Our System firstly calculates the face inclination or the pose of the head of a person with various mathematical methods. Then Our System removes the Illumination from the image using a Gabor phase based illumination invariant extraction strategy. In this strategy, the system normalizes changing light on face images, which can decrease the impact of fluctuating Illumination somewhat. Furthermore, a lot of 2D genuine Gabor wavelet with various orientations is utilized for image change, and numerous Gabor coefficients are consolidated into one entire in thinking about spectrum and phase. Finally, the light invariant is acquired by separating the phase feature from the consolidated coefficients. Then after that, the obtained Pose and illumination invariant images are convolved with Gabor filters to obtain Gabor images. Then templates will be extracted from these Gabor images and one template average is generated. Then similarity measure will be performed between query image template average and database images template averages. Finally the most similar images will be displayed to the user. Exploratory results on PubFig database, Yale B and CMU PIE face databases show that our technique got a critical improvement over other related strategies for face recognition under enormous pose and light variation conditions.
A 3.3V, 24dBm CHT Integrated CMOS 180nm Power Amplifier for NB-IoT Application
Authors:   Research Scholar, Collaborative Microelectronic Design Excellence Centre (CEDEC), University Sains Malaysia., Rawat* Arvind Singh , Rajendran Jagadheswaran ,   Senior Lecturer, Collaborative Microelectronic Design Excellence Centre (CEDEC) and School of Electrical and Electronic Engineering, Universiti Sains Malaysia., Ramiah Harikrishnan ,   Associate Professor, Department of Electrical Engineering, University of Malaya., Rhaffor Nuha A. ,   Senior Research Officer, Collaborative Microelectronic Design Excellence Centre (CEDEC), Universiti Sains Malaysia., Hamid Sofiyah Sal ,   Collaborative Microelectronic Design Excellence Centre (CEDEC), Universiti Sains Malaysia.
Published: February 2020

In this project, a 180 nm capacitive harmonic termination (CHT) CMOS-based power amplifier (PA) is designed for the Narrow-Band Internet of Things (NB-IoT) application. The PA's aimed operating frequency is between 1.9 GHz and 2.1 GHz. At schematic level simulation, the PA provides a power gain of 14 dB and a compressed output power of 24 dBm. With a resulting peak OIP3 of 33 dBm, the average power added efficiency (PAE) achieved is 40 %. The CMOS PA operates with a biasing gate voltage of 1.2 V under the voltage headroom of 3.3 V. The CHT CMOS PA provides good efficiency with negligible trade-off between linearity and output power.
The Recent Open Problem, Benefit and Challenge of Blockchain Technology in Education
Authors:   Department of Information Systems, School of Information Systems, Bina Nusantara University, Jakarta, Indonesia., Meyliana*  , Surjandy*  ,   Department of Information Systems, School of Information Systems, Bina Nusantara University, Jakarta, Indonesia., Chandra Yakob Utama ,   Department of Information Systems Department, School of Information Systems, Bina Nusantara University, Jakarta, Indonesia., Cassandra Cadelina ,   Department of Information Systems, School of Information Systems, Bina Nusantara University, Jakarta, Indonesia., Fernando Erick ,   Department of Information Systems, School of Information Systems, Bina Nusantara University, Jakarta, Indonesia.
Published: February 2020

The development of the education sector, especially the University at this time in Indonesia became the main focus of the government, the University was driven to become a leading university not only in the national scale but globally. The graduates of the university became an interesting topic to study because there is a gap between the Education and industry as a graduate user. Blockchain technology now is not only for cryptocurrency, but many researches nowadays believe that Blockchain technology can provide more benefits for universities Several studies mention Blockchain Technology can help in preventing fake diplomas certificate, libraries for borrowing books, and student loans. Those researches are still separated into several resources, so it is difficult to consolidate the benefits and challenges of using the Technology blockchain for universities. Therefore, this exploratory research tries to look for open problems, recent trends of the benefits and challenges of blockchain technology research in education sector as well as looking blockchain technology influence on the important elements in universities, such as people, process, and technology. This research will be conducted using a systematic method by reviewing literature from 9 well-known publishers such as (ACM, SAGE, IEEExplore, Taylor and Francis, Science Direct, Wiley, MDPI, AISEL, and Scopus index) to get a complete picture of blockchain technology in university. The study found the benefits and challenges of using Blockchain Technology and 70% of the important factors is on technology, 15% on people and 50% on processes.
Malware Detection by Risky Zone “Signature” Extraction from API Calls String Transformation using (AOSSR) Technique
Authors:   Faculty of Computing, University Technology Malaysia, Skudai, Johor Bahru, Malaysia., Mohamed* Gamal A. N. , Ithnin Dr. Norafida Bte ,   Faculty of Computing, University Technology Malaysia, Skudai, Johor Bahru, Malaysia.
Published: February 2020

Low accuracy of malware detection exists in malware detectors that are based on various malware representation architectures due to several problems as in case of API call graph construction and matching algorithms, where a major issue of building a precise call graph from the information collected about malware samples, also graph matching algorithms are having NP-Complete Problems and slow because of their computational complexity [1], [2]. Moreover, increasing the malware detection accuracy based on API call graphs by enhancing the graph matching and construction algorithms, experiences more computational time taken for matching process and in construction process as there are many graphs created which makes it so difficult to fetch or identify the malware (Elhadi et al., 2013) [3]. It has been further argued by (Li et al., 2018) that in case of malevolent activities, it is comparatively intricate to find whether the software will fall under the spell of malicious occurrences or not, since the duty to determine whether the conduct of a program is malicious is quite complex [4]. This research proposes enhancement of API String-based representation technique through the implementation of a malware detection framework that adopts String-based representation of the malware signature which is a compact representation of the malware risky zone where only the set of API calls representing the actual malware behaviour is accounted in the String using Absolute Order Signature String Representation technique (AOSSR) to represent the malware Strings resulting in a better performance of malware detection accuracy. The Methodology this research work follows mainly composed of three phases. The first phase deals with the conversion of the known malware samples from text format to string format. The second phase addresses the extractaction of the risky zone of an input file which is the file that needs to be checked, by the help of the file signatures already been presented in the database. The third phase addresses how to match two strings efficiency. The Application of the research is very clear as last experiment conducted on 515 malware samples demonstrates that the proposed malware detection architecture has 98% accuracy and 0 false positive rates. Comparing three families, using Analysis of Variance (ANOVA) test it is proven there is no significant difference (p>0.05) in the detection rate of algorithm across the three families of malwares. The algorithms performance is consistent. The result also shows that the Receiver Operating Characteristics (ROC) curves display a better True Positives Rate (TPR) for the proposed architecture over the previous attempts, which reflect significant improvement of TPR.
Empirical Processing of Breast Cancer Prediction Strategies using DEFS Algorithm
Authors:   Department of CSE, Noorul Islam Centre for Higher Education, Thuckalay, Kumaracoil-629180, Tamil Nadu, India., Preetha* R. , Jinny* Dr. S. Vinila ,   Department of CSE, Noorul Islam Centre for Higher Education, Thuckalay, Kumaracoil-629180, Tamil Nadu, India.
Published: February 2020

Now-a-days an important threat to women over global manner is Breast-Cancer, which is the major disease cause drastic affection to female especially. Identification of Breast Cancer over earlier stages is must to save one's life and the significant affection range of Breast-Cancer is drastically improved day by day due to the improper food-habits, pollution-level and improper-life style as well as genetic-issues also. The main cause of this disease is the arising of breast-ample over the ‘breast-area, which develops the cancer to women in several cases. If the detection or prediction of such masses over earlier stage will helps to women to get more survival ratio as well as this leads a proportion to researchers to make an systematic process to detect such diseases on initial stages by using intelligent prediction methodologies with high accuracy rates. In this paper, the proposed system handles several stages of processing to make sure the prediction accuracy, such steps are as follows: Data acquisition, Feature vector formation by normalization, Feature Selection by using Differential Evolution based selection methodology, Classification using Subspace Ensemble Learning and different Performance Measures. By using these strategies the entire work assures the proposed system is perfect to predict or identify the breast cancer benign/malignant stages more accurately compare to the classical Margin-Based Feature-Selection process. Compared to the classical biopsy methodology, a systematic diagnosis attains more impact due to its prediction accuracy. This proposed system is powered by a powerful approach called Differential-Evolution Feature’-Selection (“DEFS”) with the association of Subspace Ensemble Learning Classification principle, which provides highest accuracy and prediction rates compare to the classical methodologies. This proposed paper assures effective and robust mining strategies in Breast Cancer identification/prediction as well as efficient decision-making norms. The proposed outcome proves the good accuracy and resulting levels by means of Precision-Recall, Sensitivity and Specificity, True Positive/True Negative, False Positive/False Negative, Accuracy and Time Consumption.
Implementation of Template based Datacenter Broker Policy for Cloud to Improve the QoS
Authors:   Department of Computer Science, Baburaoji Gholap College Sangvi, Pune, India., Chowhan* Seema , Kumar Ajay ,   Department of Computer Application, Jayawant Institute, Pune, India., Shirwaikar Shailiaja ,   Department of Computer Science, Savitribai Phule Pune University, Pune, India.
Published: February 2020

Cloud computing is abstraction of web based services for businesses having dynamic requirements of resources. The cloud offers noteworthy benefits to business world by providing hardware set up, software and management of the system software. It puts in together elastic resources including hardware, software in virtual platform dynamically to meet computing need. The Quality of service parameters (QoS) comprises different parameters like, performance, availability and reliability, response time, throughput and bandwidth etc. There is need for proper monitoring, management of these parameters for effective cloud services and to maintain customer base. An efficient DCB policy reduce the overall execution time of the requested Cloudlets (Jobs/Tasks). An important policy of the Datacenter Broker (DCB) is binding of Cloudlets with an available VMs. For efficient load balancing there is need of proper allocation of cloudlets to the appropriate available VMs as per application requirement. In present study, we proposed a Template Based Resource Provisioning algorithm for effective resource utilization and allocation of Cloudlets to the available VMs in a Datacenter. The proposed method takes into consideration application requirement with its size (Cloudlet length) along with power and capacity of VMs. Experimental are performed using CloudSim under different workload scenario and results are obtained for comparison. The proposed algorithm creates performance supremacy over existing DCB algorithm for high workload.
Boosted Relief Feature Subset Selection and Heterogeneous Cross Project Defect Prediction using Firefly Particle Swarm Optimization
Authors:   Research Scholar, Department of Computer Science, Kongunadu Arts and Science College, Coimbatore., Kalavani* Mrs.N. , Beena Dr.R. ,   Associate Professor and Head, Department of Computer Science, Kongunadu Arts and Science College, Coimbatore.
Published: February 2020

The exponential growth in the field of information technology, need for quality-based software development is highly demanded. The important factor to be focused during the software development is software defect detection in earlier stages. Failure to detect hidden faults will affect the effectiveness and quality of the software usage and its maintenance. In traditional software defect prediction models, projects with same metrics are involved in prediction process. In recent years, active topic is dealing with Cross Project Defect Prediction (CPDP) to predict defects on software project from other software projects dataset. Still, traditional cross project defect prediction approaches also require common metrics among the dataset of two projects for constructing the defect prediction techniques. Suppose if cross project dataset with different metrics has to be used for defect prediction then these methods become infeasible. To overcome the issues in software defect prediction using Heterogeneous cross projects dataset, this paper introduced a Boosted Relief Feature Subset Selection (BRFSS) to handle the two different projects with Heterogeneous feature sets. BRFSS employs the mapping approach to embed the data from two different domains into a comparable feature space with a lower dimension. Based on the similarity measure the difference among the mapped domains of dataset are used for prediction process. This work used five different software groups with six different datasets to perform heterogeneous cross project defect prediction using firefly particle swarm optimization. To produce optimal defect prediction in the Heterogeneous environment, the knowledge of particle swarm optimization by inducing firefly algorithm. The simulation result is compared with other standard models, the outcome of the result proved the efficiency of the prediction process while using firefly enabled particle swarm optimization.
Deformational Assessment of Shallow Footings Founded on Carbonate Sand
Authors:   Associate Professor, Department of Geotechnical, Structural Engineering , Faculty of Engineering, Ain Shams University, Egypt, Ali* Hossam Eldin A.
Published: February 2020

Carbonate (calcareous) sandy soils are well known to be prone to crushability and to have higher compressibility compared to siliceous sands. This study assess the deformational behavior of carbonate (calcareous) sand under shallow footings by carrying out back analyses load tests of twelve full-scale footings founded on improved carbonate (calcareous) sand fill and uniformly loaded up to the allowable bearing pressure. The footings are reinforced concrete isolated pads ranging from 1.5×1.5 m up to 3×3 m in size. These full-scale loading tests are combined with extensive in-situ static cone penetration tests carried out under the location of each footing to test the foundation soil. The recoded measurements of these full-scale load tests are utilized to measure the immediate settlements of the sand fill under variable stresses and to extrapolate long-term (creep) settlement as wells. Based on the analyzed results, comprehensive back analyses were carried out to validate several commonly-used settlement prediction formulae, including Schmertmann’s method (Schmertmann et al., 1978) and Meyerhof (1965 and 1974) for utilization validation with carbonate (calcareous) coarse-grained materials.
Assessment of Blast-Induced Ground Vibration Frequency in Opencast Coal Mine: a Multivariate Statistical Regression Model
Authors:   Pursuing Ph.D., Department of Mining Engineering, IIT (BHU) Varanasi, Uttar Pradesh, India., Kumar* Mr. Anand , Kumar Mr. Sunil ,   Pursuing Ph.D., Department of Mining Engineering, IIT (BHU) Varanasi, Uttar Pradesh, India., Sharma Prof. Sanjay Kumar ,   Professor, Department of Mining Engineering, IIT (BHU) Varanasi, Uttar Pradesh, India., Singh Dr. C. S. ,   Department of Mining Engineering, IIT (BHU) Varanasi, Uttar Pradesh, India., Kishore Dr. Nawal ,   Department of Mining Engineering, IIT (BHU) Varanasi, Uttar Pradesh, India.
Published: February 2020

The blasting is a useful technique to explore and extract the mineral resources. It gives desired output with several negative impacts in surrounding mining areas. The ground vibration is one of the most concern phenomena produced by blasting. The peak particle velocity and frequency assess the seismic hazard, risk, and the human discomfort. Frequency plays a key role to define the damage criteria limits and human discomfort. The frequency of blast-induced ground vibration depends mainly on amount of explosive, characteristic properties of rock mass and distance etc. A total number of 32 datasets have been recorded in the form of velocity components and corresponding frequencies such as; Radial, Vertical, and Transverse at an opencast mine ‘A’ located in Chhattisgarh. The Indian Standard developed the safe level of peak particle velocity at frequency range (<8Hz, 8Hz - 25Hz, >25Hz) for the various types of structures close to mine. An attempt has been made to establish the relationship among parameters such as; burden, spacing, stemming, charge, hole depth, hole diameters and distance, etc. by multivariate statistical regression analysis (MVSRA) for the prediction of ground vibration frequency. The Coefficient of Determinate (CoD) between measured and predicted frequencies has also been studied.
Strength Characteristics of the Carcass of the Cabin the Tractor in Shock Loads
Authors:   Turin Polytechnic University, Tashkent, PhD, Metrology Department, Malaay Kolstevaay doroga, 17, Tashkent, Uzbekistan., Ruslan* Khakimzyanov , Abdulaziz Shermuhamedov ,   Tashkent Institute for the Design, Construction and Operation of Roads, Doctor of Technics, Professor, Road-Building Machines and Equipment Department Amir Temur, 20, Tashkent, Uzbekistan.,
Published: February 2020

In The Article The Method Of Calculation Of The Bending Moment And Curvature In The Plastic Zone Of Elastoplastic Calculation Of The Carcass Of The Cabin Of Tractor And On The Basis Determined By The Strength Characteristics Of The Carcass For The New Cabin Cotton- Growing Tractors Of The Class 1.4.
Feature and Decision Level Fusion in Children Multimodal Biometrics
Authors:   Department of Computer Science, University of Mysore, Karnataka, India., D. N*. Bhavya , H. K. Chethan ,   Professor, Department of Computer Science and Engg, MIT Thandvapura, Karnataka, India.
Published: February 2020

In this paper, we design method for recognition of fingerprint and IRIS using feature level fusion and decision level fusion in Children multimodal biometric system. Initially, Histogram of Gradients (HOG), Gabour and Maximum filter response are extracted from both the domains of fingerprint and IRIS and considered for identification accuracy. The combination of feature vector of all the possible features is recommended by biometrics traits of fusion. For fusion vector the Principal Component Analysis (PCA) is used to select features. The reduced features are fed into fusion classifier of K-Nearest Neighbor (KNN), Support Vector Machine (SVM), Navie Bayes(NB). For children multimodal biometric system the suitable combination of features and fusion classifiers is identified. The experimentation conducted on children’s fingerprint and IRIS database and results reveal that fusion combination outperforms individual. In addition the proposed model advances the unimodal biometrics system.
Socially Inclined Engagement and Its Effect on CSR Perception Observed In Manufacturing Companies
Authors:   Assistant Professor -OB & HR, Institute of Management, CHRIST (Deemed to be University), Bangalore, Karnataka, India, Basavaraj* Santosh , P Sreelakshmi ,   Assistant Professor - Finance in Institute of Manage-ment, CHRIST (Deemed to be University),India.
Published: February 2020

The manufacturing industry majorly constitutes electrical, electronics, telecommunication, mechanical engineer-ing, and textile companies. This sector provides more employ-ment for the skilled level employee than that of service and in-formation technology sectors. Besides, the manufacturing indus-try significantly contributes to the economy. Hence, the employ-ees working in such companies are expected to be engaged with the goals of the company. A high level of engagement leads to productivity. This study aims to understand the level of socially inclined employee engagement and its impact on the perceived image of the company’s CSR activities. The study uses Partial Least Square – Structural Equation Model (PLS-SEM) to deter-mine the association between employee engagement and CSR activity. The results indicate that there exists a positive associa-tion between engagement level and positive perception of CSR activity. The instrument to measure this association is developed and supported with the evidence from reliability tests and validity test.
Task Based Language Teaching: A Simple Method for Language Teaching and Learning
Authors:   Research scholar at Karunya Institute of Technology and Sciences, Karunya Deemed University, Coimbatore., Veigas* Anup Denzil , Wilson David ,   Associate Professor at Karunya Institute of Technology and Sciences, Karunya Deemed University, Coimbatore.
Published: February 2020

Task based learning is an effective and prominent language teaching tool. The development of a modern, innovative language teaching and learning method is helpful and essential. There are lots of changes taking place in today’s classroom context and syllabus design. Challenges have increased and innovative methods of teaching and learning have become mandatory to build the requirements of the technologically advanced learning world. Task based language teaching or the TBLT method is one among the effective ways among many others to cope up with the classroom challenges especially, because of the mixture of students from various backgrounds, influence of regional languages and fear or lack of command over the English Language in terms of fluency, usage and articulation. All these are just some of the challenges that a language teacher has to face in a classroom set up. Though it’s impossible to satisfy all the needs and requirements, the process of innovation in teaching and learning can bring it close to satisfaction. This paper emphasises on the importance of TBLT activities and its innovation in teaching of a specific content designed for a course. An attempt has been made by suggesting a few tasks that can be taken within a classroom. Small innovative activities when adopted for the teaching purpose can result in amazing outcome. The result will be the students’ improved performance and improvement in their LSRW skills. In order to get the results the experiment was conducted among the selected students from two colleges of Mangaluru, divided on rural and urban basis. Pre test and post test was conducted and the results were arrived at through tabulation. Tasks were generated taking their present syllabus as the benchmark. So that practically it would help them to understand better and save the class time.20 hours in total where spent for the exercises.
The Influence of Elevated Brain Temperature on Intracranial Pressure during Exposure of RF Energy
Authors:   ECE department, Apeejay Stya University, Gurugram, India, Goyal* Kavita , Uddin Moin ,   School of Engineering & Technology, Apeejay Stya University, Gurugram, India.
Published: February 2020

Brain temperature (BT) and intracranial pressure (ICP) are crucial parameters in precise management of brain rejuvenation in the event of brain injury. In order to reduce medical costs and improve therapeutic effects, it is important to know that the dynamics of BT and ICP are affected due to various reasons. RF energy is also one of the major reason to increase the BT and ICP. In this work, a simple compartment based simulation model has been developed for coupling between RF energy and ICP, with an intention to improve the comprehension of ICP. The model incorporates the cardiovascular output, hemodynamic of cerebral arterial-arteriolar bed, oxygen, and carbon dioxide exchange mechanism between brain tissue and capillary, a non-linear pressure-volume relationship of subarachnoid space. It simulates the interaction between BT, the cerebral metabolic rate of oxygen (CMRO2), a concentration of bicarbonate ions (HCO3-), cerebral blood flow (CBF), cerebral blood volume (CBV) and ICP. The basic concept behind the model is the expansion or contraction of brain tissue which is affected underexposure of RF energy. The simulation results determine the following: 1) ICP becomes unstable underexposure of RF energy at higher specific absorption rate (SAR). 2) ICP and brain temperature has a direct relation during exposure of RF energy. The model elaborates the dynamics of ICP with less complexity.