bluuebunny/crossref_metadata_2025 huggingface dataset:
Dual Image Signature Method using DWT and SVD in YCbCr Colour Space
Authors:   Professor, Department of ECE, Vishnu Institute of Technology, Bhimavaram, India., Ramesh* Addanki Purna , Dheeraj Manukonda ,   Department of ECE, Vishnu Institute of Technology, Bhimavaram, India.
Published: November 2019

The digital data can be easily modified and copied, so it is not secure, so owner authentication is required to prevent this unauthorised access of digital data. Image signature (water mark) is required to embed with digital data. The Discrete Wavelet Transform (DWT) supports image signature algorithms possess dual resolution attaining imperceptibility. The Singular Value Decomposition (SVD) supports to achieving the robustness in order to add the signature information to the singular values of the diagonal matrix.. In this work implementing dual image signature method using DWT and SVD in YCbCr colour space. The cover image is embedded with dual images to achieve better security from unauthorized persons. The proposed method improves the robustness and imperceptibility of the cover image.
Can Time Pressure and Personality Make any Sense together in Software Engineering?
Authors:   School of Computing, Universiti Utara Malaysia, Gilal Ruqaya , Omar* Mazni ,   School of Computing, Universiti Utara Malaysia., Gilal Abdul Rehman ,   Department of Computer Science, Sukkur IBA University, Pakistan, Rejab Mawarny Md ,   School of Computing, Universiti Utara Malaysia, Waqas Ahmed ,   Department of Computer Science, Sukkur IBA University, Pakistan, Sharif Kamal Imran Mohd ,   School of Computing, Universiti Utara Malaysia
Published: November 2019

Nowadays, software development failure has become a very serious problem. Inaccurate time estimation is one of the major causes of the software development failure. Inaccurate time estimation mostly creates time pressure that causes several negative impacts on software developers’ mental and physical health. The past studies had also believed that burnouts and job turnover problems happened due to time pressure. Therefore, the objective of this study is to explore time pressure with human behavior to see if they can make any relation. By this way, one can explore the hidden patterns between time pressure and human behavior in software engineering. In order to carry out the study, personality and time pressure studies are explored in general to see if past studies had ever made any space for software domain. Moreover, based on the limited selected studies, the literature review identifies that several authors had correlated the time pressure with personality. Unfortunately, time pressure and software developer personality are not specifically studied together in software engineering. For that reason, this study leaves some recommendations for researchers to contribute in the very topic to make software development better.
An Efficient Techniques used for Diagnosis of Mitral Valve Regurgitation Severity
Authors:   Research, Department Of Computer Science, School of Engineering and Technology, Pondicherry University, Pondicherry, India., Anbarasi* A. , Ravi Dr. S. ,   Associate Professor, Department of Computer Science, School of Engineering and Technology, Pondicherry University, Pondicherry, India., Vaishnavi J. ,   Research Scholor, Department of Computer Science, School of Engineering and Technology, Pondicherry University, Pondicherry, India., Matla S V Suresh Babu ,   Research Scholor, Department of Computer Science, School of Engineering and Technology, Pondicherry University, Pondicherry, India.
Published: November 2019

Mitral valve diseases are more common nowadays and might not show up any symptoms. The earlier diagnosis of mitral valve abnormalities such as mitral valve stenosis, mitral valve prolapses and mitral valve regurgitation is most important in order to avoid complex situation. Many existing methodologies such as heart sound investigation model, 3-layered artificial neural network (ANN) of phonocardiogram recordings, 3-layer artificial neural network (ANN) of phonocardiogram recording, echocardiography techniques and so on are there for Mitral Valve diagnosis, but still most of the methods suffer from inefficient image segmentation and misclassification problems. In order to address this issue, this paper proposes two techniques namely 1) Deep Learning based Convolutional Neural Network (CNN) model for Mitral Valve classification model meant for diagnosis and edge detection-based segmentation model to enhance the classifier accuracy. 2) Watershed Segmentation for Mitral Valve identification and image segmentation and Xception model with Random Forest (RF) classifier for training and classification. The proposed models are evaluated in terms of three parameters namely accuracy, sensitivity and specificity, which proved that the proposed models are efficient and appropriate for Mitral Valve diagnosis.
Active Shape Model based Correlative Assessment of Statistical Parameters to Detect Cataract
Authors:   Department of Electronics, RSCOE, Tathawade, Savitribai Phule Pune University, Pune, working as Asst Prof. at SKNSCOE, Korti, Pandharpur, Maharashtra,India., Jagadale* A. B.
Published: November 2019

The lens opacity acquired due to clouding of eye lens causing blindness is called a cataract, its detection is challenge. Based on positional occurrence of opacity in a lens it is categorized as nuclear sclerotic, posterior sub-capsular, and cortical cataract. Excessive use of steroids medicines, smoking, ageing, or eye injury lens cause cataract. Gradual and progressive growth of opacity is occurring in lens due to agglomeration of water and protein molecules. The maximum reflected rays form object, that focusing at retina lead to clear understanding of object image. Opacity inside lens causes refraction, reflection and diffraction of reflected light from object. This affects interpretation of image due to poor retinal reception. The patient may be advised treatment or change in lifestyle to prohibit the further growth of cataract or to improve vision. Researches are suggesting methods for detection of cataract from lens images by analysis of color, structural, and optical parameters. The research work presented uses wide slit illumination lens images for analysis to detect cataract. Due to elliptical shape of lens proposed system prefers active shape model with region properties to segment lens structure. Mean pixel value and uniformity are parameters used to distinguish lens without cataract from lens with cataract. The statistical parameters are dependent on probability of pixel values. Hence, using these parameters, system can be made invariant to source illumination. Correlation is performed between parameter vector of input image, and that of known images from database to identify and classify cataract type.
Computation of Person Re-identification using Self-Learning Anomaly Detection Framework in Deep-Learning
Authors:   SRM Institute of Science and Technology ,Ramapuram Chennai, India., Gowthamy* J. , Vidhyavani A. ,   SRM Institute of Science and Technology ,Ramapuram Chennai, India., Kumar M.P.Shaam ,   SRM Institute of Science and Technology ,Ramapuram Chennai, India., Kumar M.Dhanush ,   SRM Institute of Science and Technology ,Ramapuram Chennai, India.
Published: November 2019

This paper proposes an application of a self-Learning anomaly detection framework in Deep-learning. In this application, both hybrid unsupervised and supervised machine learning schemes are used. Firstly, it takes metadata of the unsupervised data clustering module (DCM). Data clustering module (DCM) analyses the pattern of the monitoring data and enables the self-learning capability that eliminates the requirement of the prior knowledge of the abnormal network behaviors and also has the potential to detect the unforeseen anomalies. Next, we use the self-learning mechanism that transfer pattern learned by the DCM to a supervised data regression and classification module (DRCM) it’s Complexity is mainly related to scalability of supervised learning module. It is more measurable and less time consuming for online anomalies by avoiding excessively usage of the original dataset. It has a density-based clustering algorithm and deep learning, neural network structure-based DCM and DRCM. We are also using an anti-spoofing-based approach for presentation attack detection (PAD). In these approaches, we are mainly detecting a person reidentify and computing without having any false anomalies.
A Robust Algorithm for Real Time Tracking With Optical Flow
Authors:   Assistant Professor, Department of ECE, Alagappa Chettiar Government college of Engineering and Technology, Karaikudi 630003 India., Pragadeeswari* C.Karthika , Yamuna G. ,   Professor and Head, Department of ECE, Annamalai University, Annamalainagar, 608002 India., Beham G.Yasmin ,   PG Scholar, Department of ECE, Alagappa Chettiar Government college of Engineering and Technology, Karaikudi 630003 India.
Published: November 2019

Object tracking is a troublesome undertaking and significant extent in data processor perception and image handling community. Some of the applications are protection surveillance, traffic monitoring on roads, offense detection and medical imaging. In this paper a recent technique for tracking of moving object is intended. Optical flow information authorizes us to know the displacement and speed of objects personate in a scene. Apply optical flow to the image gives flow vectors of the points to distinguishing the moving aspects. Optical flow is accomplished by Lucas canade algorithm. This algorithm is superior to other algorithms. The outcomes reveals that the intend algorithm is efficient and accurate object tracking method. This paper depicts a smoothing algorithm to track the moving object of both single and multiple objects in real time. The main issue of high computational time is greatly reduced in this proposed work.
Image To Speech Synthesizer with Reference to Assamese Numerals
Authors:   Department of Information Technology, Gauhati University Guwahati, India,, Rahman* M. , Sarma P. ,   Department of Information Technology, Gauhati University Guwahati, India, Bhuyan M.P. ,   Department of Information Technology, Gauhati University Guwahati, India, Das A. ,   Department of Computer Science NERIM Group of Institutions, Guwahati, India., Dutta D. ,   Department of Computer Science NERIM Group of Institutions, Guwahati, India.
Published: November 2019

In this research work we have shown the methodology for converting printed Assamese numerals to its corresponding utterance. We have implemented as an initial effort which will read only four digit numerals. We are using Image processing techniques to convert an image of Assamese numerals into textual/digital form. In the second phase the numerals will be pronounced as a number by Google speaker. In this system, images are stored in a dataset and then inputted data is compared with the dataset image using template matching technique. After recognition of the text output will be displayed as a speech waveform. This work has many applications in today’s digital world.
Occupational Mobility and Economic Development in the Dhobis of Dibrugarh and Duliajan Towns of Assam
Authors:   Asst. Professor (Contractual), Department of Sociology, Naharkatiya College, Naharkatia., Sahu Dr. Suresh Kumar
Published: November 2019

The Dhobis in Assam is passing through gradual economic development due to occupational mobility since independence. The traditional economic way of life of Dhobis has been changing gradually. Therefore, this paper aims to study pattern of occupational mobility and analyse its role for their economic development. The data were collected on 25th Oct to 3rd Dec 2015 by administering structured interview schedule to a random sample of Dhobi respondents in Dibrugarh and Duliajan towns in upper Assam.
Modified AODV with Power Efficiency and Priority in WiMAX Network
Authors:   Assistant Professor, Department of Computer Science and Engineering. Invertis University, Bareilly, India,, Rastogi* Rahul , Shukla Ravi S. ,   Assistant Professor, Department of Computer, Saudi Electronic University, KSA,
Published: November 2019

Many applications have developed for networks that are ad hoc in nature. Various routing protocols are suggested, of which routing protocols on-demand in nature is the most widespread protocol because they are simple to figure it out and they don’t’ use priority and power for communication of data in routing. Routing protocol has an essential role in VANETs. In the latest decade, AODV routing protocol turns into the consideration of concentrated research on VANETs. Several protocols were formulated to upgrade and improve AODV in order to attain the maximum in the pursuit of consistent protocol. Here, our proposal to improve ad-hoc distance vector suggests various points. I-AODV, our suggested protocol, improved AODV in Power consumption and Priority models. We also evaluate performance pointers for some metrics, like packet delivery ratio, energy, end-to-end delay, and routing overhead, in WiMAX ad hoc network.
Clustering of the Multi-Value Documents based on Probabilistic Features Association Mechanism
Authors:   Associate Professor, Department of IT, Gokaraju Rangaraju Institute of Engineering and Technology, Hyderabad, India, Krishna* P Gopala , Bhaskari D Lalitha ,   Professor, Department of CS & SE, Andhra University College of Engineering (A), Andhra University, Visakhapatnam, India.
Published: November 2019

It is becoming increasingly difficult to cluster multi-valued data in data mining because of the multiple data interval values of individual functions. Identifying a clustering model that is appropriate for these disguised multi-valued data deployments in data analysis applications is an open problem. To answer this question, this paper proposes a feature selection based on the probabilistic features association mechanism (PFAM). The problem is mainly due to the difficulty in identifying the class information and the multiple values for each individual features. This work explores the problem of unsupervised feature selection through computing the probabilistic association score and multi-value data reformation for effective clustering in multivariate datasets. By minimizing a reformation clustering error, it can conserve together the degree of similarity and the categorization information of the actual data contents. The proposed approach is evaluated the clustering purity and Normalized Mutual Information on multivariate document datasets. The experimental evaluation shows the improvisation of the proposed approach.
Effect of Sea Water Environment Exposure on Glass Fiber Reinforced Polymer Composites
Authors:   Mechanical Engineering, Sri Sai Ram Engineering College, Chennai, India., M* Suresh. , T Babu. ,   Mechanical Engineering, Sri Sai Ram Engineering College, Chennai, India., A Ravinthiran. ,   Mechanical Engineering, Sri Sai Ram Engineering College, Chennai, India, Dhanalakshmi Mrs. A. ,   Assistant Professor, Department of Mechanical Engineering, Sri Sairam Engineering College, Chennai., Ganapathy Mr. S. ,   Assistant Professor, Department of Mechanical Engineering, Sri Sairam Engineering College, Chennai.
Published: November 2019

Glass fiber reinforced polymer(GFRP) composites are currently used in large numbers of diverse applications ranging from tip and engine strut fairings in aircrafts, building panels and dash boards in automotive vehicles, boat hulls in ocean vehicle structures, golf clubs and race helmets in sports equipment, etc. The service life of composite materials are influenced by the different adverse environment which leads to various failures like corrosion, fatigue, fracture, etc., results in loss of structural integrity due to environmental conditions. The investigations involved are to study the mechanical behaviour of these materials when subjected to various adverse conditions of the environment at different intervals of exposure due to change in moisture and temperature. Experiments were conducted on GFRP composites with and without exposing to different environment conditions of sea water. Tensile and flexural tests are conducted to predict the mechanical behaviour of both normal specimens and specimens exposed with sea water. Reduction in mechanical properties found due to maximum absorption of any liquid by the material. When temperature increases better in mechanical properties are noticed and at low temperature the composite behaves like a brittle.
Security Modeling for Web Based Visitor’s Login System for Pursuance of Security Design Pattern
Authors:   Information Technology Department , Bharati Vidyapeeth (Deemed To Be University) Pune,India., Kulkarni* Yogini C. , Joshi Prof. Dr. S .D. ,   Computer Engineering Department ‘ Bharati Vidyapeeth (Deemed To Be University) Pune,India.
Published: November 2019

In recent years because of the widespread use of internet and other communication media security occurrences have broken all the barricades. System gets attacked by malicious attackers and various cyber criminalities. Every system should be built by taking security as a main priority while building a system so as to make it reliable, safety and also it should be enhanced with other quality parameters. Hence since beginning at every phase of software development till the implementation of the software, security aspect is needed to take into consideration before making the final design decision to avoid the expenses which may incur while recovering of the system after the damage. For attainment of this, it is must to integrate the security at each phase of the software development. The software developers insists on incorporating the software safeguards at the design phase which may wind up in identifying the architecture restrictions related with the security which in fact may not be necessary. To reduce this problem, this paper intends a structure for security development activities. These activities consist of security requirements identification and threats analysis which are to be converted into design decisions to lessen the risks to identified important assets. The recognized design parameters are then manually prioritized using VOSREP and CRAMM and accordingly Security design pattern is to be developed to incorporate security in the software. By manually calculating values of assets and prioritizing will help to identify the security requirements at the early stage of the software development life cycle. Accordingly the decisions for developing the security design pattern are to be taken for building the software system
Media as a Tool for Forming the President's Image (On the Example of the 2019 Election Process)
Authors:   Institute of Journalism, Chair of Journalism and New Media, Borys Grinchenko Kyiv University, Kyiv, Ukraine., Dosenko* Anzhelika , Gerachkovska Oksana ,   Department of PR and Journalism, Kyiv National University of Culture and Arts, Kyiv, Ukraine., Shevchenko Viktoria ,   Department of Multimedia Technologies and Media Design, Taras Shevchenko National University of Kyiv, Kyiv, Ukraine., Bessarab Аnastasiia ,   Chair of Journalism and Ukrainian Philology, Classical Private University, Zaporizhia, Ukraine.
Published: November 2019

The article deals with notion of the a politician image, in particular the president, as well as the tools of forming it through the media in Ukraine using the example of the president’s elections 2019. His benevolent attitude and increasing confidence of Ukrainians in his activities and extrapolated them to the events of 2019. The article deals with the technology of comparative analysis of portrait representation on television and Internet portals of influential Ukrainian media. The authors selected powerful Ukrainian television media, such as 1 + 1 (TSN), ICTV (Facts), Channel 5 (news), STB (News windows), 112 (news112) for the study. On each TV channel and site, the content not only contributed to the formation of a portrait of the president, but gave his own attitude to it. A pilot sociological research has been conducted by the authors revealed the level of Ukrainians’ confidence in the newly elected President of Ukraine. The survey covered the period from the 1-st of April till the 5-th of July 5, 2019. The survey was conducted from the 11-th till the 17-th of June 2019. A total of 1,100 recipients participated in the survey.
Enhancement of Heat Transfer using Combination of Perforated Co-Swirl Twisted Tape Insert and Nanofluids
Authors:   Department of Mechanical Engineering, Chittagong University of Engineering and Technology, Chattogram-4349, Bangladesh., Ahmed* Arif , Hosna Asma Ul ,   Department of Mechanical Engineering, Chittagong University of Engineering and Technology, Chattogram-4349, Bangladesh., Ahmed Syed Masrur ,   Department of Mechanical Engineering, Chittagong University of Engineering and Technology, Chattogram-4349, Bangladesh.
Published: November 2019

This analysis was carried out for enhancing tube side heat transfer performance by co-swirl twisted tape insert with ethylene glycol-water base TiO2 Nano-fluids. The test section consists of a long copper tube of 26.6 mm internal diameter and 30mm outer diameter and 900 mm effective length. Each stainless steel insert was 850 mm in length, 10 mm in width, 1.5 mm thickness and the twisted ratio was 4.25. For measuring the bulk temperature two thermometers were used at the inlet and outlet section of the circular tube. Four K-thermocouples were used in the experiment section to determine the temperature of the outer surface. From rotameter, a definite amount of mass flow rate was measured for the calculation of flow velocity. As well as from manometer reading, pressure head was measured for determining pressure difference of the flow section. A nichrome wire was surrounded around the pipe for uniform heat flux. Nusselt numbers for i) combination of perforated co-swirl twisted tape insert and 0.03% volume fraction of Nanofluids (TiO2/Ethylene Glycol/Water), ii) combination of perforated co-swirl twisted tape insert and 0.01% volume fraction of Nanofluids (TiO2/EG/Water), and iii) combination of perforated co-swirl twisted tape insert and water were increased by 56.72%, 61.52%, 77.98% respectively than the plain tube.
Dynamic Analysis of Structure using Fluid Viscous Damper for Various Seismic Intensities
Authors:   Department of Civil Engineering, Karunya Institute of Technology and Sciences, Coimbatore, India, C Daniel , E Arunraj ,   Department of Civil Engineering, Karunya Institute of Technology and Sciences, Coimbatore, India, Jebadurai S Vincent Sam ,   Department of Civil Engineering, Karunya Institute of Technology and Sciences, Coimbatore, India, Shelton J* Joel ,   Department of Civil Engineering, RGM College of Engineering and Technology, Kurnool, India, G Hemalatha ,   Department of Civil Engineering, Karunya Institute of Technology and Sciences, Coimbatore, India
Published: November 2019

The Dynamic analysis for 5 Storey RC Structure with various seismic intensities are carried out in the present work. SAP 2000 Software considered the structure for modeling. Six ground acceleration for various intensities on MMI Scale to relate seismic response and seismic intensities. In the result, similar variation in storey displacement and base shear with intensities V, VI, VII, VIII, IX and X was witnessed. Through this we can conclude that RC Building using Time History analysis is essential to know if the structure is safe against seismic force or not.
Accelerating Information Security in Cloud Computing using a Novel Holomorphic Scheme
Authors:   Research Scholar, NMAM Institute of Technology,, V* Dhananjaya , R Dr. Balasubramani ,   Professor in ISE, NMAM Institute of Technology,
Published: November 2019

In the past decades, many security algorithms are invented and used in many applications for encryption and decryption of information or data. All the secure algorithms were uses the security key of size 8bit, 16bit, 32bit, 64bit and 128bits for encryption and decryption but literature survey says that higher the key size, higher the security. But the higher key size has number more bits and its requires more memory for storage and also to perform each and every bit through computational operations leads to more delay. To address these issues, the key and plain text are of 128bits and converted into integer. The converted integer values of key and plaintext are encrypted and decrypted using Holomorphic through Advanced Encryption Standard (AES). The research method is sophisticated and more protected through meaning fully lesser key in size and is accomplished for encryption in terms integer key and plaintext moderately than binary bits, therefore larger size of key and plaintext can be minimized and reduced the computational complexities. Finally the cipher text is uploaded into cloud through Real Time Transport Protocol (RTP) and Real Time Transport Control Protocol (RTCP) for storage. The main problem with continuous sharing of information into cloud is security attacks so in this research work, three different multimedia signals such as ECG, EEG and biomedical images are converted into integer and encrypted using AES. The stored data can access by the authorized users and can decode the information after decryption using AES.
Diagnosis of Cervical cancer using CLAHE and SGLDM on RGB Pap smear Images through ANN
Authors:   Ph.D Research Scholar in Computer Science, Sri Sarada College for Women (Autonomous), Salem - 16, India., Jaya* S. , Latha Dr. M. ,   Associate Professor of Computer Science, Sri Sarada College for Women (Autonomous), Salem - 16, India.
Published: November 2019

Cervical cancer is one of the most preventable Cancers in the present day. PAP and HPV tests are followed for early diagnosis for screening procedure. In medical field, it is difficult to detect Pap smear images through microscope. Image processing is a vital role to take right decision by using various technique and algorithms. In this paper, the proposed technique is used to enhance the Pap smear images by comparing Histogram Equalization in Contrast Stretching algorithm, Power Law Transformation for Gamma Correction, Shading Correction, Contrast Limited Adaptive Histogram Equalization (CLAHE). The Quality measurement MSE, PSNR, SC and NAC value has been calculated to find performance analysis of enhanced Pap smear images. Then proposed four different feature extraction algorithms SGLDM- Spatial Gray Level Difference Method, RDM- Run Difference Method, LBP- Local Binary Pattern and HOG-Histogram of Oriented Gradients are used to extract features of Pap images. Experimental results are obtained for a data set of 215 Pap images taken from the Management and Decision Engineering Laboratory (MDE-LAB) database. MATLAB R2016a used as a programming tool. ANN Classification is used for each feature extraction algorithm to evaluate the accuracy level. Thus, CLAHE achieved the good result for enhancement and SGLDM feature extraction algorithm reached 93% accuracy using ANN.
Experimental and Simulation Analysis of Thermal Vertical Directional Solidification Grown Ni Doped Bulk GASB
Authors:   Department of Physics, Faculty of Engineering, Sikhsha ‘O’ Anusandhan University, Bhubaneswar, Odisha, India., Kamilla* Sushanta K. , Ali Farida A. ,   Department of Electronics & communication, Faculty of Engineering, Sikhsha ‘O’ Anusandhan University, Bhubaneswar, Odisha, India
Published: November 2019

Due to high hole mobility, p-GaSb is an attractive III-V semiconducting material for high performance p-channel metal-oxide semiconductor field effect transistor (p-MOSFET). For that growth of undoped and Ni doped GaSb bulk crystal by thermal vertical directional solidification has been reported in this paper. Both structural and electrical characterization was carried out for both the samples. X-ray diffraction (XRD) analysis confirms that the compound grown is polycrystalline in nature which has been supported by scanning electron microscope (SEM) image. The carrier charge density and mobility were measured by Hall Effect measurement in the temperature range 78K and 300K. From the sign of Hall co-efficient the grown material was confirmed p-type. The Current-Voltage (I-V) characteristic was studied for the sample i.e. experimentally grown and also simulated using TCAD at 78K and 300K. The temperature dependence of the hole mobility were also investigated by TCAD tool using the models Auger recombination, Shockley-Read-Hall (SRH) and Band-gap narrowing (BGN). Comparison of experimental and simulated temperature dependencies of mobility shows good agreement, while their difference at some points suggests the contribution of compensating impurities.
Development of Blended Learning Management to Improve 21st Century Learning Skills of Students in Computer and Educational Technology Program at Nakhon Sawan Rajabhat University
Authors:   Computer and Educational Technology Department, Nakhon Sawan Rajabhat University, Nakhon Sawan, Thailand., Puttasem* Duangjai
Published: November 2019

The objectives of this research are to enhance the capability of blended learning model used in Methodology in Teaching Computer course to develop 21st century learning skills, to compare students’ 21st Century learning skill score before and after attending the course, which was for third-year students in Computer Education Department, and to study the students’ level of satisfaction in the blended learning course. The Addie Model was used in this research. In this study, 30 third-year Computer Education students in the first semester of the academic year 2019 were selected as samples using the purposive sampling method. The tools used in this research were teaching management plan stating models and methods for managing science learning areas, 21st Century learning skill assessment for students and satisfaction survey for students attending the blended learning course. The statistical tools used were average, standard deviation and t-Test. The research of this result revealed that blended learning process consist of three stages, which were 1) introduction 2) teaching and 3) conclusion. The result of expert evaluation showed that the teaching management plan which employed blended learning approach was highly suitable ( = 4.70). After attending the Methodology in Teaching Computer course which employed blended learning, the students’ 21st Century learning skills improved significantly at the 0.05 level. The students’ satisfaction in the blended learning activities was high.
Effect of OD Interventions on Building High Performing Teams
Authors:   Research Scholar, BIHER, Chennai, India., Kaliappan* P. , Kavitha Dr.Fabiyola ,   Associate Professor, BIHER, Chennai, India
Published: November 2019

Od Interventions Have Become Mandatory In The Current Scenario Of Organizations. Effective Od Interventions Aims To Improve The Performance Of The Organizations. These Od Interventions Involve Employees Trust And Support, They Respect The Opinions Of People And Confronts The Issues. There Are Different Types Of Interventions To Be Followed For Different Issues In The Organisation. Od Professionals Have Defined Which Interventions To Be Followed Against Each Type Of Issues. Sometimes Mix And Match Of The Interventions Will Lay A Successful Role. This Paper Describes Few Types Of Interventions And Dependency Of The Team Building On Od Interventions.
SAAS: Attack Detection and Prevention with Forensic in cloud environment
Authors:   P.G. Student, Department of Computer Engineering, Modern Education Society of Engg, Pune, MH, India, Rahila* Sayeda A , Khonde Prof. Shraddha ,   Professor, Department of Computer Engineering, Modern Education Society of Engg, Pune, MH, India
Published: November 2019

Basically cloud computing security is essential nowadays, it has arisen as a technology to allow users as well as clients to access communications, data storage, software as well as exploitation Environment according to pay-as-what-use structure. Conventional digital forensic can’t be investigated due to some technical challenges like environmental as well as technical. The vibrant nature of cloud computing provides massive opportunities to identify malicious request using various security algorithms in cloud environment. Proposed research work identifies the current issues and provides solutions to reduce some challenges in the cloud environment. In this paper system proposed forensic investigation of cloud security for trusted and untrusted environments. System illustrated the various machine learning algorithms for eliminate the malicious request, and investigate the malicious user also. Proposed method generate the user log base snapshot during the active session and manual investigator can verify all logs and identify the malicious user. We offer a skilled technique for forensic examination in the cloud with the help of virtual machine (VM) and generate snapshots. The experimental analysis shows illustration of proposed security of system.
Intelli-Car with Auto-Pilot for Accident Prevention
Authors:   School of Electronics Engineering (SENSE), Vellore Institute of Technology, Chennai (Tamil Nadu), India, Sirisha* Gopireddy , Harshdeepsinh Parmar ,   School of Electronics Engineering (SENSE), Vellore Institute of Technology, Chennai (Tamil Nadu), India, Hemanth Konduri Subrahmanya ,   School of Electronics Engineering (SENSE), Vellore Institute of Technology, Chennai (Tamil Nadu), India, Narayanan Sathiya ,   School of Electronics Engineering (SENSE), Vellore Institute of Technology, Chennai (Tamil Nadu), India
Published: November 2019

Temporary auto pilot mode can help in saving lives, especially those of drivers. Using sensors, one can continuously monitor a driver’s biological attributes, collect and process the obtained biological data with algorithm to get the physical status of the driver and decide whether he is fit to drive. In this work, we propose an intelli-car with auto-pilot mode. In intelli-car, if the driver found unfit to drive, the car takes the responsibility by switching to a temporary auto pilot mode with the support of various sensors and algorithms. In addition, it will find a safer way to stop while sending its location along with the data obtained using Global Positioning System and Global System for Mobile Communication modules to the concerned authorities. A hospital nearby to that incident will be notified when the driver's biological condition is found unstable.
Management of Artificial Intelligence Enabled Smart Wearable Devices for Early Diagnosis and Continuous Monitoring of CVDS
Authors:   Hamdan Bin Mohammed Smart University, Dubai, UAE, Khatib Mounir M. El , Ahmed* Gouher ,   Skyline University College, Sharjah, UAE.
Published: November 2019

Cardiovascular diseases are often sudden and deadly. Every year, world over, there are millions of CVD deaths, not due to timely detection and treatment and continuous monitoring of patient situations. In the medical field, Artificial intelligence enabled/driven wearable devices are a new, and welcome development. This study is addressed to the cure and management of CVDs for timely diagnosis detection, treatment and monitoring CVDs. It is found that the wearable devices are effective means of meeting the challenges of CVDs. However, it is a just picking up technology, which needs to be generally known and cost effective, for which certain suggestions are made such as solar powered batteries in the device for their ever fully working capability.
Speaker Identification using Machine Learning
Authors:   Research Scholar, Research and Development Center, Bharathiyar University, Coimbatore., Pandipati* Babu , sam Dr. R. Praveen ,   Professors, Department of CSE, G.Pulla Reddy Engineering College, Kurnool.
Published: November 2019

Whatever the modern achievement of deep learning for several terminology processing tasks, single-microphone, speaker-independent speech separation remains difficult for just two main things. The rest point is that the arbitrary arrangement of the goal and masker speakers in the combination (permutation problem), and also the following is the unidentified amount of speakers in the mix (output issue). We suggest a publication profound learning framework for speech modification, which handles both issues. We work with a neural network to project the specific time-frequency representation with the mixed-signal to a high-dimensional categorizing region. The time-frequency embeddings of the speaker have then made to an audience around corresponding attractor stage that is employed to figure out the time-frequency assignment with this speaker identifying a speaker using a blend of speakers together with the aid of neural networks employing deep learning. The purpose function for your machine is standard sign renovation error that allows finishing functioning throughout both evaluation and training periods. We assessed our system with all the voices of users three and two speaker mixes and also document similar or greater performance when compared with another advanced level, deep learning approaches for speech separation.
Novel Adsorbent for Industrial Wastewater Treatment Applications
Authors:   Department of Chemical Engineering, The British University in Egypt, El Shorouk City, Cairo, Egypt., Zakaria* Ahmed Y. , Ali Dalia A. ,   Department of Chemical Engineering, The British University in Egypt, El Shorouk City, Cairo, Egypt., Al-Akraa Islam M. ,   Department of Chemical Engineering, The British University in Egypt, El Shorouk City, Cairo, Egypt., Elsawy Hoda A. ,   Department of Chemical Engineering, The British University in Egypt, El Shorouk City, Cairo, Egypt., Elazab Hany A. ,   Nanotechnology Research Centre (NTRC), the British University in Egypt (BUE), El-Sherouk City, Suez Desert Road, Cairo, 11837, Egypt.
Published: November 2019

In this study, the hydroxyapatite powder is investigated for both of methylene blue and thymol blue in aqueous solution. The physical and chemical properties of the adsorbent were evaluated systematically using the different techniques including Microsoft Excel programming, linear regression model and also the coefficient of determination. Batch adsorption experiments were conducted to determine the effect of contact time, solution pH, initial dye concentrations, and also the adsorbent dosage on adsorption. The adsorption kinetic parameters confirmed the better fitting of pseudo-second order kinetic model for both of methylene blue and thymol blue. The isotherm data of methylene blue and thymol blue could be well described by the Freundlich isotherm model which means the adsorption is multilayer adsorption with non-uniform distribution of adsorption heat and affinities over the heterogeneous surface. The maximum adsorption capacity (KF) of methylene blue and thymol blue is found to be 0.2736 (L/mg) and 11.18407 (L/mg) respectively. The high specific surface area and the porous structure with some acidic functional groups on the surface were obviously responsible for high dyes adsorption onto hydroxyapatite (HA). Adsorption kinetics data were modeled with the application of Pseudo first order, Pseudo second order and Intraparticle diffusion models. The results revealed that the Pseudo second order model was the best fitting model. Which means that, the adsorption mechanism followed two stages in which the first one was fast and the other was slower step. Which means the adsorption of dye molecules was limited by intra particle diffusion and film diffusion, as well as, the adsorption rate in both of adsorption system are depends only on the slower step.The Boyd plot exposed that the intra-particle diffusion was the rate controlling step of the adsorption process of both of methylene blue and thymol blue molecules by HA powder. However, the adsorption of methylene blue molecules (basic solution) using of HA as adsorbent particles is found to be extremely preferable than thymol blue molecules.
Android Based Image Processor For Blind
Authors:   Department of Computer Science and Engineering, MLR Institute of Technology, Dundigal, Hyderabad, India, Gogula* Susmitha Valli , Shekar K. ,   Department of Computer Science and Engineering, MLR Institute of Technology, Dundigal, Hyderabad, India, Purushotham P. ,   Department of Computer Science and Engineering, MLR Institute of Technology, Dundigal, Hyderabad, India, Bhavani Y Teja Sai ,   Department of Computer Science and Engineering, MLR Institute of Technology, Dundigal, Hyderabad, India
Published: November 2019

This Paper ‘The Android Based Image Processor For Blind’ is developed to make the daily routine of blind people better. It is a camera based application which scans the objects present in the image and gets the information about the objects which can be reflected as a voice message. This is extremely helpful for discovering the items before the visually impaired individuals. So as to utilize this application, all that the client needs to do is simply capture the picture before him in the cell phone which at that point settles the items present in the picture. In this way, this application truly helps dazzle and outwardly hindered individuals by making their work of recognizing objects simple.
Cloud Computing Environment with Security Issues
Authors:   Associate Professor, Department of MCA, Dr. R. M. L. Avadh University, Ayodhya, India, Bhardwaj* Dr. Brijesh Kumar
Published: November 2019

Security is a significant subject of a few software systems. Cloud computing continue to be assertion as a most important innovation in IT management. The objective of this paper is to make available the recent advancement and a wide impression of the obtainable literature cover an assortment of dimensions of the Cloud security. In addition to the efforts of the paper industry, it also concludes the directions created at various levels for future research in cloud security base on related work. This possibly will be extremely useful, predominantly for the entrance level researchers, who desire to behavior the research in these connected areas.
Strength Properties of Concrete by using Flyash, Quarry Dust and Crumb Rubber
Authors:   Department of Civil Engineering, Institute of Aeronautical Engineering, Dundigal, Hyderabad., Kumar* U. Mahesh , Baraik Suraj ,   Department of Civil Engineering, Institute of Aeronautical Engineering,(autonomus), Dundigal, Hyderabad., Malagavelli Venu ,   Department of Civil Engineering, Institute of Aeronautical Engineering, Hyderabad, India,
Published: November 2019

As construction in India and other developing countries are increasing, the consumption of energy and resources are also increasing in same alarming way. Due to urbanization many industries are developed and the industrial wastage is also increasing day by day which is a serious concern to the environment. Many industries produce various end products, which may be used in construction industry at various places. So we focused on some of the waste materials which can be replaced in conventional concrete, and by then cost of construction can be reduced and is economical, also damage caused to the environment can also be reduced, at the same time landfills can also be reduced. So, we focused on reducing the virgin materials in concrete like cement, fine aggregate and coarse aggregate by replacing them with some waste materials which have same properties of cement, fine aggregate and coarse aggregate. The objective of the present work is to find out the effectiveness of fly ash, quarry dust and crumb rubber by replacing them in varied percentages. Here, cement is replaced by fly ash with percentages as 30%, 40%, 50%, 60% and quarry dust as fine aggregate with percentages of 20%, 30%, 40%, 50% along with crumb rubber as coarse aggregate with percentages as 5%, 10%, 15%, 20%. The results in this study have shown a gradual reduction of compressive strength as we kept on adding the crumbed rubber. Even though the strength obtained for 5% usage of crumbed rubber was quite satisfactory.
Classification of Diabetes using Random Forest with Feature Selection Algorithm
Authors:   CSE Department, Teegala Krishna Reddy Engineering College, Computer Science and Engineering, Telangana, India., Chari* K.Koteswara , Babu M.Chinna ,   CSE Department, Teegala Krishna Reddy Engineering College, Computer Science and Engineering, Telangana, India., Kodati Sarangam ,   CSE Department, Teegala Krishna Reddy Engineering College, Computer Science and Engineering, Telangana, India.
Published: November 2019

Diabetes has become a serious problem now a day. So there is a need to take serious precautions to eradicate this. To eradicate, we should know the level of occurrence. In this project we predict the level of occurrence of diabetes. We predict the level of occurrence of diabetes using Random Forest, a Machine Learning Algorithm. Using the patient’s Electronic Health Records (EHR) we can build accurate models that predict the presence of diabetes.
Influence of Human Relations on Organizational Performance in Automobile Industry
Authors:   Assistant Professor, Department of Business Administration, Christ college of Arts and Science, Kilachery, Thiruvallur (Dist), Tamil Nadu, India., Sankar* S. , Jeyakumaran M. ,   Assistant Professor, Department of Business Administration, Annamalai University, Annamalai Nagar, Tamil Nadu, India
Published: November 2019

The paper attempts to understand the perception of human relations among employees and relationship between employer and employee and its impact on desirable behavior and performance over getting a job. Number of orientation programs from reputed institutions enhances the planning and execution to handle tasks in the future. The working condition encourages the workers to work more and ensure safety both at physical and mental level. The study has been conducted in an automobile industry in Chennai. It offers extensive study on the relationship between employee and employer with statistics. It uses Multi-stage sampling method to examine 400 respondents and Surveying method for data collection. In the end, the study offers a perspective that the relationship among employee is categorical on the basis of their designation. It dents the performance among employees.
PH Meter Based Raspberry Pi and User Interface using Python
Authors:   Department of Electrical Engineering, Universitas Muhammadiyah Yogyakarta, Yogyakarta, Indonesia., Iswanto*  , Megantoro Prisma ,   Department of Electrical Engineering and Information Technology, Universitas Gadjah Mada, Yogyakarta, Indonesia., Fitryana Dewi Elinda Prima ,   Department of Electrical Engineering and Informatics, Universitas Gadjah Mada, Yogyakarta, Indonesia.
Published: November 2019

The article about pH meter based on Raspberry Pi 3 has been created. This instrument serves as a measure of acid base levels of solution capable of displaying a GUI ( Graphic User Interface ) based interface programmed in the Raspberry Pi 3 System On Chip with the Python programming language. The purpose of this research is to innovate Raspberry Pi 3 based pH measuring device, to create interfaces and store pH measurement data based on Raspberry Pi 3 and Python programming language, find out the results of heuristic analysis on pH meter measuring instrument innovations, and determine the accuracy of the pH meter based on Raspberry Pi 3. The method used to pH sensor chararacterization in making this measuring instrument is heuristic method.The characterization sensor result show that the accuracy value of the pH sensor is 99,97%, the precision value of the pH sensor is 99,99%, the sensitivity value of pH sensor is 6,45 mV/pH, the correlation value of the pH meter is 99,89%. Based on the result of the analysis that has been carried out, it can be conclude the innovation in pH measuring device that are made have a good accuracy and can measure well.