bluuebunny/crossref_metadata_2025 huggingface dataset:
Travel Mobile Applications: the Use of Unified Acceptance Technology Model
Authors:   Faculty of Hospitality, Tourism & Wellness, Universiti Malaysia Kelantan, Malaysia., Bakar Nurzehan Abu , Hashim* Nik Alif Amri Nik ,   Faculty of Hospitality, Tourism & Wellness, Universiti Malaysia Kelantan, Malaysia., Nawi Nor Maizana Mat ,   Faculty of Hospitality, Tourism & Wellness, Universiti Malaysia Kelantan, Malaysia., Rahim Marlisa Abdul ,   Faculty of Hospitality, Tourism & Wellness, Universiti Malaysia Kelantan, Malaysia, Yusoff Abdullah Muhamed ,   Faculty of Hospitality, Tourism & Wellness, Universiti Malaysia Kelantan, Malaysia., Aziz Roslizawati Che ,   Faculty of Hospitality, Tourism & Wellness, Universiti Malaysia Kelantan, Malaysia., Ahmad Ghazali ,   Faculty of Hospitality, Tourism & Wellness, Universiti Malaysia Kelantan, Malaysia.
Published: January 2020

In the current era of globalisation, the Internet plays a major role in people’s lives. It has also altered the style of people travel by providing a cheaper, more convenient and more efficient price. Recognising the broad impact of travel applications on the travel sector, researchers have focused on the study of determinants of travellers’ intention to utilise travel apps. In addition, among the consumer behaviour models used to study the tourism sector, is Unified Acceptance and Use of Technology (UTAUT) model which is the common and new models nowadays. Therefore, the existing study is expected at evaluating the local residents’ intention to utilise mobile travel applications based on the UTAUT model. The self-administered questionnaire was distributed to 390 of Malaysian millennial which the IBM SPSS 24 version was selected for the data analysis. The study demonstrated that the variables of UTAUT are related to behavioural intention. This study contributes to new perspectives on mobile application usage and preferences, especially in the context of tourism. It also offers practical application implications for mobile application developers for the design of mobile app features, most likely for tourists.
Designing of Short Interfering RNAS (siRNAs) for Tuberculosis
Authors:   Department of Biotechnology, Graphic Era Deemed to be University, Dehradun, India., Verma Devvret , Negi Ajay ,   Department of Biotechnology, Graphic Era Deemed to be University, Dehradun, India., Pant* Kumud ,   Department of Biotechnology, Graphic Era Deemed to be University, Dehradun, India., Pant Bhaskar ,   Department of Computer Science and Engineering, Graphic Era Deemed to be University, Dehradun, India., Thapliyal Ashish ,   Department of Life Sciences, Graphic Era Deemed to be University, Dehradun, India.
Published: January 2020

The control of Tuberculosis is an obstacle that many researchers have been trying to overcome from several decades, as it remains the cause of millions of deaths per year. Though there are several drugs available but due to drug resistance, there is an extensive need of new and effective ways of treatment. Computational study was performed to design siRNA for the genes atpG, dnaK and htpG as all these genes are important for the survival of bacterium Mycobacterium tuberculosis. Multiple sequence alignment was done using Mega X software on the coding sequences (cds) of studied Mtb strains, which were retrieved from the NCBI database. The i-score designer was used for designing of potent siRNA. The SMEpred webserver was used to validate the data collected from the i-score designer, which was further used to calculate the efficacy as well as to predict the chemically modified siRNA (cm-siRNA). Results show that the studied genes were conserved in all the studied strains. MFE was calculated using RNAfold server and sequences with the lowest MFE was selected, as they are proved to have higher stability. This result can be used to develop novel therapeutic applications.
Smart Vehicle Tracking System using RFID
Authors:   Assistant Professor, Department of Electronics and Computer Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India., Karthik* Ragipati , Harshavardhan T. ,   B. Tech, Department of Electronics and Computer Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India., Reddy M.Vinod ,   B. Tech, Department of Electronics and Computer Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India.
Published: January 2020

A proficient vehicle tracking framework is projected and executed for the development of any vehicle following from any area at any time. The proposed arrangement takes points of interest of the two fundamental highlights in portable stage these days which are area administrations, predominantly GPS-GSM based, and essential communication administrations, principally SMS based. The utilization of RFID per user is to peruse the tag of a vehicle and the data will be sent to the framework, the highlights incorporate controlling the framework through UI. The contributions from RFID per users are persistently refreshed To Arduino for handling the information. The server gadget's primary duty is to give the careful area of the transport to the server, or the client if there should be an occurrence of SMS based inquiry from customer's gadget. Then again, customer's gadget can discover transport area either utilizing SMS administration or utilizing network access. If customer uses android mobile, user can introduce the application to follow the transport area utilizing web access. The server gadget will be put on the vehicle of enthusiasm with our application introduced inside it. It performs preferred from numerous points of view over other comparative vehicles following frameworks. The proposed framework utilized a prevalent innovation that joins a Smartphone application.
Modeling of on-off Current and Cutoff Frequency in Organic Thin Film Transistors
Authors:   Assistant Professor at Bharat Institute of Technology, Meerut ,India., Singh* Swati , Kumar Dr.Mahendra ,   Associate Professor, Department Electronics & Communication Engineering, Bundelkhand Institute of Engineering and Technology (BIET), Jhansi (UP), India.
Published: January 2020

Organic thin-film transistors (OTFTs) are providing incitement in various integrated circuit applications because of advantages like low cost and being flexible.In this paper we present an analytical modeling of on-off current and cutoff frequency in organic thin film transistors. The proposed model accurately describes both the parameters uniquely and is based on the standard equations of transistor . The model parameters are listed out and simulation of the final model is performed in MATLAB . Furthermore, it has been concluded that the high cutoff frequency of OTFTs can be achieved with short channel length and high gate voltage ,further high on-off current ratio can be attained by lowering semiconducting layers’ thickness and increasing the mobility.
Electric Vehicles Charging Display Unit
Authors:   Assistant Professor, Department of Electrical Engineering, Dr. D. Y. Patil Institute of Technology, Pimpri, Pune, India., Warbhe* Mrs. Rutuja , Patil Mr. Ganesh ,   Assistant Professor, Department of Electrical Engineering, Dr. D. Y. Patil Institute of Technology, Pimpri, Pune, India., Mishra Mrs. Ekta ,   Assistant Professor, Department of Electrical Engineering, Dr. D. Y. Patil Institute of Technology, Pimpri, Pune, India., Joshi Mrs. Hemlata ,   Assistant Professor, Department of Electrical Engineering, JSPM Raharshi Shahu College of Engineering, Pune, India
Published: January 2020

One of the major reasons for polluting the environment is fossil fuel burning. This pollution of fossil fuel has resumed the market of electric vehicles (EVs) for starting use of renewable sources of energy. In electric vehicles, plug-in charging method has a drawback of charging a vehicle at a very low time, having less reliability and spatial issues. To avoid these kinds of problems and to increase reliability we proposed a system for charging station. In this a user will know charging price for particular period of time, charge in battery (level), and predicts the life of battery or at what distance the battery will with particular level. This also shows no. of charging sections on map.
Prediction of Electricity usage in Industries by Big Data
Authors:   Student, Department of CSE, KL University, Guntur, Andhra Pradesh , Tadepalligudem ,India, Malyada* Chelikani , Keerthana Ratnam ,   Student, Department of CSE, KL University, Guntur, Andhra Pradesh ,Vijayawada ,India., Rao Dr. P. V. R. D. Prasad ,   Professor, Department of CSE, KL University, Guntur, Andhra Pradesh , India., Keerthana R. ,   Student, Department of CSE, KL University, Guntur, Andhra Pradesh, Vijayawada , India.
Published: January 2020

Electrical industry is a main source industry in which where almost every other industry of many kinds are dependent on it. Not only the industries but also many Smart cities are connected with the different supply of current in which the current is used and to run the homes with the power supply. In the base paper we have taken the PMU data is collected which contain magnitude and phase angle components of the readings from PMU and the details of the fluctuations, deviations are only given so we have gone some extension to the paper and we have done the forecasting of the data by taking more of components like Logtime, current voltage (CV), active power (AP), reactive power (RP), apparent power, power factor, temperature, product weight and we are forecasting the data:To predict the energy usage.To provide monthly billing information and graphical report.To provide individual home appliance unit graphical report.Alert message service for the consumer.
Detection of Tampered Images using Watermarking Technique
Authors:   Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India., Devisetty* Bhanu Kiran , Sasank VVS ,   Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India., Roy Arpita ,   Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India., Burla Sadhana ,   Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India.
Published: January 2020

Over the most recent couple of years there is a gigantic improvement in advanced innovation . Most the data is in the form of images, videos and audios. But there are various software’s to modify these images. So the data we transmit through the digital images may not be secure. For example if we are using an image as an evidence then there may be a chance of modifying that image. There may be a risk of using a digital image as evidence. So, it’s not secure to use digital images as evidence. So we decided to do a research on technology that provide security to tampered images. But there are many technologies to detect tampered images. Our project mainly focused on watermarking technique to detect tampered images.
Treatment of Bio-methanated Distillery Spentwash using various Physico-Chemical Treatment Techniques
Authors:   Research Scholar & Assistant Professor, Department of Civil Engineering, Angadi Institute of Technology & Management, Belagavi, affiliated to Visvesvaraya Technological University, Karnataka, India., Byakodi* Mr. Amar S. , Babu Dr. B.T. Suresh ,   Professor, Department of Civil Engineering, Angadi Institute of Technology & Management, Belagavi, affiliated to Visvesvaraya Technological University, Karnataka, India.
Published: January 2020

Distilleries are one of the important secondary agro based industries. Every liter of alcohol produced will generate around 8 to 10 liters of Spentwash, which is highly complex liquid waste with dark reddish brown colour. Distilleries are listed in Red category by Ministry of Environment, Forest and Climate Change, Govt. of India, due to the complexity of Spentwash. This liquid waste is very difficult to treat and safe disposal of the same is a tedious task for distilleries. Most of the distilleries have adopted anaerobic digestion as a source of energy recovery by extracting methane from spentwash. The effluent from the anaerobic digester is called Bio-methanated Spentwash (BMSW), which is partially treated, but still concentrated and the same cannot be disposed into the environment safely. Present study is a part of Research work, which concentrates on various treatment techniques to further treat the Bio-methanated Spentwash to use it in composting of Pressmud in field scale. Electrocoagulation, Adsorption and Fenton Oxidation are selected as treatment techniques for the study, to convert Bio-methanated Spentwash into Stabilized Spentwash (SSW). This study showed, Fenton oxidation has a maximum removal efficiency with COD reduction of 45%, but produces volatile organic fumes harmful for the living beings. Hence, for the field scale implementation of Stabilization of Spentwash, Electrocoagulation process is recommended, due to its efficiency and practical feasibility of implementation .
A Practical Public Key Encryption Scheme Based on Learning Parity with Noise.
Authors:   UG Scholar, Department of CSE, Saveetha School of Engineering, Saveetha Institute of Medical And Technical Sciences, Chennai, Tamil Nadu, India., Reddy* N.Gangadhar , Ramaparvathy Dr.L. ,   Professor, Department of CSE, Saveetha School of Engineering, SIMATS, Tamil Nadu, India.
Published: January 2020

To ensure digital security and protection, it is basic to structure security and handy open key encryption plans. Today, huge information and distributed computing bring uncommon open doors as well as essential security challenges. Enormous information faces numerous security chances in the assortment, stockpiling, and utilization of information and brings major issues with respect to the revelation of private client information. It is trying to accomplish security and security assurance in the enormous information condition. Accordingly, to satisfy the developing need of open key encryption in this condition, we proposed a solitary piece open key encryption plot dependent on a variation of learning equality with commotion (LPN) and stretched out it to a multi-bit open key encryption conspire. We demonstrated the accuracy and picked plaintext assault security of the proposed technique. Our plans tackled encoding mistake rate issues of the current open key plans dependent on LPN, and the encoding blunder rate in our plans is immaterial. To meet the growing demand on security and privacy. It has been designed according to the basics of server and appropriated processing cryptographic techniques. Therefore the rate of data encryption is so sensitive and to be used as per the regulations of the algorithms that has been used within the rate of enormous information that has been used. With the use of data encryption gives the data utilisation giving some sort of difficult tasks which are to be further to be used as per required requirements. With the consideration of the large information condition different plans have been considered.
Mitigating the Threat due to Data Deduplication Attacks in Cloud Migration using User Layer Authentication with Light Weight Cryptography
Authors:   Associate Professor, Department of Computer Science and Engineering, M S Engineering College, Bengaluru, India., M G Aruna , K.G* Mohan ,   Professor and Head, Department of computer science and Engineering, Presidency University, Bengaluru, India.
Published: January 2020

The widespread adoption of multi-cloud in enterprises is one of the root causes of cost-effectiveness. Cloud service providers reduce storage costs through advanced data de-duplication, which also provides vulnerabilities for attackers. Traditional approaches to authentication and data security for a single cloud need to be upgraded to be best suitable for cloud-to-cloud data migration security in order to mitigate the impact of dictionary and template attacks on authentication and data integrity, respectively. This paper proposes a scheme of user layer authentication along with lightweight cryptography. The proposed simulates its mathematical model to analyze the behavioral pattern of time-complexity of data security along with user auth protection. The performance pattern validates the model for scalability and reliability against both authentication and data integrity.
Wi-Fi Combined Visible Light Commnication for Intelligent Transportation System
Authors:   Professor, Dept. of ECE, Narayana Engineering College, Andhra Pradesh, India., Rajasekar* Dr. P. , Nandhini R. Usha ,   Assistant Professor, Dept. of ECE, Dhanalakshmi Srinivasan College of Engineering Coimbatore, Tamil Nadu, India., Nivethika R. ,   Assistant Professor, Dept. of ECE, Arjun College of technology, Coimbatore, Tamil Nadu India, Chandran Reshma ,   Assistant Professor, Dept. of ECE, Dhanalakshmi Srinivasan College of Engineering Coimbatore, Tamil Nadu, India., Pavithra S. ,   Assistant Professor, Dept. of ECE, Dhanalakshmi Srinivasan College of Engineering Coimbatore, Tamil Nadu, India.
Published: January 2020

Communication based on visible spectrum is a mode of communication wireless technology using the visible spectra by typical transmitters and receivers.Thistechnology, in developing Intelligent Transportation is a cost-reuction method. Currently Radio Frequency(RF)-based technology is used for road safety application and ripping out this method entirely by replacing it with VLC is not particularly feasible, so that the idea is retrofiting system that currently uses to work with combining both RF and VLC technologies. Here paper presents the specific technologies of wireless methodology for the Intelligent Transportation, which helps to minimize the occurrence of road accidents, optimize the road traffic and improve the safe of devices and roadside users. Application based on communication of vehicles, and vehicle to infrastructure has emerged the best solutions to improve traffic safety.It is on, visible light communication withbig potential ofsimple design for functional efficiency and large area distribution along with usage of Wi-Fi. The intention of this survey on a wide field, Intelligent Transportation Systems functioning with Wi-Fi and Li-Fi is discussed with its real time uses, technologies in communications.
Ecotoxicity of Microplastics in Freshwater Biota
Authors:   Department of Civil Engineering, Karunya Institute of Technology and Science, Coimbatore, India., Eazon Daniel Biju , Chellaiah* Gajendran ,   Department of Civil Engineering, Karunya Institute of Technology and Science, Coimbatore, India.
Published: January 2020

Micro plastics are primarily classified as individual pieces of synthetic material made of wide range of organic polymers which is generally called as ‘plastic’. Micro plastics are generally preproduction pellets, micro beads, polymer fibers and degraded micro plastic. Micro plastics make up to as much as 85 percentage of the plastic pollution in the shorelines. This large percentage in the total number of pollutant causes ecological stress caused by the biomagnifications along the food chain. Estimations show that globally majority of micro plastics comes from the runoff of 10 rivers along which includes the Ganges and Indus. To understand the role rivers, play as micro plastic carriers from land to oceans, the sampling of micro plastic is done at the relatively less populated part of Noyyal river and test are carried out to identify presence of micro plastic in the sample. Visual Identification method was used to identify the micro plastic components with relative ease and economy.
A Relative Examination on Clustering Techniques: Agglomerative, K-Means, Affinity Propagation and DBSCAN
Authors:   PG Student, Department of CS,GIS,GITAM(Deemed to be University), Visakhapatnam, India, Kumar* J. Kiran , Seshashayee Dr. M. ,   Department of CS,GIS,GITAM (Deemed to be University), Visakhapatnam, India
Published: January 2020

Clustering is a procedure of grouping a collection of certain objects into a relevant sub-group. Each sub-group is called as a cluster, which guides users to comprehend the collections in a data set. It is an unsupervised learning technique where each dispute of this type deals with discovering a structure during the accumulation of unlabeled data. Statistics, Pattern Recognition, Machine learning are some of the active research in the theme of Clustering techniques. A Large and Multivariate database is built upon excellent data mining tools in the analysis of clustering. Many types of clustering techniques are— Hierarchical, Partitioning, Density–based, Model based, Grid–based, and Soft-Computing techniques. In this paper a comparative study is done on Agglomerative Hierarchical, K-Means, Affinity Propagation and DBSCAN Clustering and its Techniques.
Optimal Deep Learning Model to Identify the Development of Pomegranate Fruit in Farms
Authors:   Department of Computer Science and Engineering, Faculty of Science and Technology, IcfaiTech, ICFAI Foundation for Higher Education, Hyderabad, India., Joshi Sripad , Panda Sandeep Kumar ,   Department of Computer Science and Engineering, Faculty of Science and Technology, IcfaiTech, ICFAI Foundation for Higher Education, Hyderabad, India.., AR* Sathya ,   Department of Computer Science and Engineering, Faculty of Science and Technology, IcfaiTech, ICFAI Foundation for Higher Education, Hyderabad, India.
Published: January 2020

In this study, estimating the maturing condition in gardens helps to enhance the process of post-harvesting. Collecting fruits on the basis of their developmental stage will minimize storage costs and maximize market value. Additionally, estimated ripeness of the fruits can be more useful for indicators for detecting water shortage and to determine the water used during irrigation. The purpose of the study is to develop the new direction of technology to detect the ripeness stage between two classes: ripe and unripe. We employ deep Neural Network (DNN) classifiers for the prediction of ripe and unripe class. The results of our proposed classifiers give the sensitivity 96.2%, specificity 94.2% with accuracy of results 94.5%, over a dataset of 200 images of each class. The ROC (receiver operating characteristic) area values curve close to 0.98 in all-class during training. We believe this is a notable performance that allows a suitable non-intrusive maturing prediction that will enhance cultivation techniques.
A Speech Enhancement MVDR Algorithm in Diffuse Noise Field
Authors:   Department of Information Technologies and Programming Faculty, University ITMO, Saint-Petersburg, Russian Federation., The* Quan Trong
Published: January 2020

The minimum variance distortionless response (MVDR) beamformer often used in speech application for separating sound source and suppressing ambient, coherent, stationary and non-stationary noise in real complex environment. This paper deals problem speech enhancement in diffuse noise field by using a modified MVDR, which incorporates speech presence probability to estimate auto and cross power spectral densities. This combination gives the advantage of saving target speaker while suppressing background noise. A efficiency post-filtering, which is a function depends on speech presence probability, used for increasing the quality of filtered signal. The performance evaluation demonstrates the ability of proposal algorithm when compared to conventional MVDR.
Optimization of Scheduling Technique Rooted on Software Test Routines for Embedded Cores using Quality Factor
Authors:   Ph.D. Student, Dr. Babasaheb Ambedkar Marathwada University, Aurangabad, Maharashtra, India., Vishal .G* Puranik , Shah Dr. Dilip D. ,   Jayawant Shikshan Prasarak Mandal , Pune, Maharashtra, India.
Published: January 2020

Most of the research work to test the fast processors is carried out using external devices as testers;but it was not technically & financially workable. To fulfill the required performance along with providing efficient functionality, an appropriate testingism must be employed by the digital circuits. The best way is to follow testing as an integral part that is self-test. Conventionally large amount of data was stored in an external tester.But there was a difficulty in at speed testing performance using these external hardware. Hence, Built-in-self-test was invented which verifies failure free nature of circuit under test (CUT) with a test mechanism as a part of system itself. It is observed that, if testing of any hardware is carried out with the help of built-in self test, it increases the requirement of additional area and indirectly responsible for forfeits due to degradation in performance.. If a powerful and power optimized core is to be designed, hardware BIST cannot be afforded due to these limitations. To overcome these disadvantages, a new software based BIST techniques is introduced which relies on software test patterns. Here this paper focuses on rooting of software test routines which works using optimization of scheduling and also a Q- factor is proposed to evaluate the nature of proposed method.
Classification of Natural Textures using Rule Based Rank Matrix
Authors:   Research Scholar, JNTUA, Regd.No: 13PH0521, Assistant Professor in CSE Department at VidyaJyothi Institute of Technology (Autonomous), Hyderabad, Telangana, India., Sarma* K.S.R.K. , Ussenaiah M. ,   Assistant Professor, Dept. of Computer Science, VikramSimhapuri University, Nellore, Andhra Pradesh, India.
Published: January 2020

This paper derives a new frame work for the classification of natural textures based on gradient rank vectors derived on a 2 X 2 grid. This paper identified the ambiguity in deriving ranks when two or more positions of the grid possess the same value. To attend this ambiguity and without increasing the total number of rank vectors on d positions this paper derived a rule based rank vector frame work. This paper replaced the 2 X 2 grid with the column position of the Rule based Rank Word Matrix (RRWM). The range of column positions will be d! for d positions. This paper then divides RRW texture image, into a 3 X 3 grid and derives cross and diagonal rule based rank words. From this, the present paper derived Rule based Rank Word-Cross and Diagonal Texture Matrix (RRW-CDTM) and derives GLCM features for effective texture classification. The experimental results on various texture databases revels the classification accuracy of the proposed method. The proposed method is compared with the state of art local based approaches.
An Artifact Elimination in Cardiac Signal using Circular Leaky Normalized LMS Adaptive Algorithm through Iot
Authors:   Assistant Professor, KKR & KSR Institute of Technology and Sciences, Vinjanampadu, Guntur, India., Soniya* N. , Nutalapati Kusuma ,   KKR & KSR Institute of Technology and Sciences, Vinjanampadu, Guntur, India., Krishna J. Gopi ,   KKR & KSR Institute of Technology and Sciences, Vinjanampadu, Guntur, India., Phanindhar A. Venkata ,   KKR & KSR Institute of Technology and Sciences, Vinjanampadu, Guntur, India., Kiran A. Naga Sai ,   KKR & KSR Institute of Technology and Sciences, Vinjanampadu, Guntur, India., Charan G. Devaram Sai ,   KKR & KSR Institute of Technology and Sciences, Vinjanampadu, Guntur, India.
Published: January 2020

In distant cardiac care observing purposes, Electrocardiogram (ECG) waves are infected by artifacts while gaining data and broadcast of signals. The elimination of the noise is a predominant mission for accurate analysis. In this paper, an effort has been made to eliminate the artifacts, mainly baseline wander (BW), muscle artifacts (MA), power line interface (PLI), and Electrode motion (EM) using a Normalized Least mean square error (NLMS) algorithm. Later on to recover the filtering capacity and speed up the convergence process, data normalization is used. The above algorithm is normalized with reference to maximum data normalization which results in lessened computational difficulty in the denominator. Based on the above algorithms, a variety of adaptive signal enhancers (ASE’s) are improved. To decrease the computational difficulty of the signal enhancer, the designed ASE’s are united with sign-based algorithms. The designed ASE’s are analyzed on original ECG signals gained from the MIT-BIH database to evaluate the performance. The reproduction outcomes gained demonstrates that the block based algorithms are finer than NLMS in terms of the signal to noise ratio (SNR), excess mean square error and computational difficulty. Among the NLMS alternatives, the VSS-CLNLMS (Variable Stepsize Circular Leaky Normalized Least Mean Square error) based ASE’s have fine filtering capacity with a lessened number of computations. The development of the SNR obtained in the progression with the use of VSS-CLNLMS-based ASE’s are calculated as 13.2945 dBs, 12.4589 dBs, 15.6179 dBs and 14.0881 dBs respectively for BW, MA, PLI and EM artifacts.
Implementation of Enhanced AODV based Self-Organized Tree for Energy Balanced Routing in Wireless Sensor Networks
Authors:   Department of Computer Science and Engineering, Ramaiah Institute of Technology, affiliated to Visvesvaraya Technological University, Bangalore, India, R* Meghana , Patil Annapurna P ,   Professor, Department of Computer Science and Engineering, Ramaiah Institute of Technology, affiliated to Visvesvaraya Technological University, Bangalore, India.
Published: January 2020

Wireless sensor networks (WSN) are gaining attention in numerous fields with the advent of embedded systems and IoT. Wireless sensors are deployed in environmental conditions where human intervention is less or eliminated. Since these are not human monitored, powering and maintaining the energy of the node is a challenging issue. The main research hotspot in WSN is energy consumption. As energy drains faster, the network lifetime also decreases. Self-Organizing Networks (SON) are just the solution for the above-discussed problem. Self-organizing networks can automatically configure themselves, find an optimal solution, diagnose and self-heal to some extent. In this work, “Implementation of Enhanced AODV based Self-Organized Tree for Energy Balanced Routing in Wireless Sensor Networks” is introduced which uses self-organization to balance energy and thus reduce energy consumption. This protocol uses combination of number of neighboring nodes and residual energy as the criteria for efficient cluster head election to form a tree-based cluster structure. Threshold for residual energy and distance are defined to decide the path of the data transmission which is energy efficient. The improvement made in choosing robust parameters for cluster head election and efficient data transmission results in lesser energy consumption. The implementation of the proposed protocol is carried out in NS2 environment. The experiment is conducted by varying the node density as 20, 40 and 60 nodes and with two pause times 5ms, 10ms. The analysis of the result indicates that the new system consumes 17.6% less energy than the existing system. The routing load, network lifetime metrics show better values than the existing system.
Implementation of ANN Classifier for Weather Forecasting
Authors:   Assistant Professor, Dept. of Computer Science, DAV College for Boys, Hathi Gate, Amritsar, India., Gupta* Aditi
Published: January 2020

Once quantitative information about the present condition of the environment and barometrical procedures is collected, one can head towards the making of climate conjectures. The climate expectation is essentially found on the recorded time arrangement information. The essential Data mining tasks and Numerical strategies are utilized to get a valuable example from a gigantic volume of informational index. Diverse testing and preparing situations are performed to acquire the precise outcome. To play out these sorts of expectations I am distinguishing the datasets. We gathered the information of a specific locale climate forecast from 1901 to 2001 with 11 traits. The gathered datasets experience the pre-handling. At that point bunching activity, Curve fitting and Extrapolation strategies are applied, continuing with a back spread. The Back spread and Extrapolation results are thought about. The Best future outcomes are anticipated.
Design Implantable Antennas with Human Body Effect
Authors:   Department of Electrical Engineering, Taif University, Faculty Engineering, Taif, KSA., Yahya*  , Asem  ,   Department of Telecommunication Hijjawii Faculty of Engineering, Yarmouk University, Irbid, Jordan., Ahmad  ,   Electrical Engineering Department, Taif University, Faculty Engineering, Taif, KSA., Ola  ,   Telecommunication department, Hajjawii Faculty of Engineering, Yarmouk University, Irbid, Jordan.
Published: January 2020

Implantable antenna devices have made great progress for healthcare services. Amongst the overall components of the implantable device, the antenna is the most important component that exists; it used to transmit the biological data wirelessly from inside the human body tissues to an external receiver. However, the human body tissues’ surrounding the antenna decrease the performance of the radiation antenna device, change its characteristics and absorbs most of its radiation. It also limits the size of the implantable device and its battery. Therefore, the design of the implanted antenna inside the human body requires many challenges while meeting many contradictory design parameters at the same time. Therefore, in this research, we mainly focused our spotlight on investigating and designing new antenna structures with robust performance against the human body tissue effect. In this research work, we presented two designs of a dual-band microstrip patch implantable antenna to operate ((401-406 MHz) Medical Device Radio-Communications (MedRadio), 433MHZ 2.45 GHz Industrial, Scientific and Medical (ISM) bands, respectively. This is to satisfy the requirements of data transfer, power saving and wireless power transfer. The first design in this paper is a new shape of microstrip patch implantable antennas with meandered serpentine slot, with a single feed point. This shape of design allows us to increase the length of the current path in order to decrease the antenna size and covers MICS and ISM bands with new dimensions of (31 x 25 x 1.63) mm, the measured frequencies range we obtained it’s from 378MHz to 450 MHz (17.3%) at the lower band and from 2.46 to 2.68 GHz (8.56%) at the upper band for 11 less than -10 dB. The second simulated design is a compact dual-band Planar Inverted-F Antenna (PIFA) with Open-End Slots on ground with dimensions of (19.8x19.4x1.27) mm the measured frequencies from 325MHz to 407MHzrange at the lower band and from 2.412GHz to 2.482GHz for PIFA antenna, the designs of both antennae constructed and measured using CST and HFSS simulation and measurement setup. We also explained and demonstrated the performance of these antenna designs and the effect of human body tissue on antenna parameters, based on the reflection coefficient in normal and bent conditions.
Experimental and Numerical Analysis of Composite Wick Heat Pipes using Ethanol
Authors:   M. Tech, Department of Thermal Engineering, Gokaraju Rangaraju Institute of Engineering & Technology, Hyderabad, India., Bhadra* Purbasha , Nookaraju B. Ch. ,   Associate Professor, Gokaraju Rangaraju Institute of Engineering & Technology, Hyderabad, India.
Published: January 2020

Warmth pipes come convenient now-a-days as they work with most noteworthy warmth conductance contrasted with some other method of warmth move and accessible over wide scope parameters. In the present investigation de-ionized water stream in plain thermo siphon, Sintered Copper wick and Helical scored heat pipes with synchronous vanishing, adiabatic and buildup wonder are contemplated utilizing Heat pipe test gear. In this hardware warmth pipe exposed to foreordain heat load an obstruction radiator at its evaporator end water coat with controlled progression water is utilized disperse warmth vitality at condenser end. Every one temperatures are estimated necessary computations are done get rate efficiencies at different stream rates warmth inputs. The exhibition warmth funnels correlation between their efficiencies is done. The sintered copper wick structure pipe have been found capable when stood out from other two with heat inputs beginning from 50 to 800 watts evaporator 30, condenser 72, adiabatic 110, flate heat pipe width 7.6mm, thickness 3.4 mm, first dia 6mm warmth pipe holder thickness in 0.5mm working liquid ethanol wick in view prevailing Capillarity property. The varieties of evaporator and condenser surface temperatures are plotted for changing warmth information sources and stream rate changes at condenser water coat. ANSYS programming is utilized for computational investigation and exploratory outcomes are in great concurrence with the examination.
Advantages of Pre-Engineered Building over Conventional Building
Authors:   Computer Aided Structural Designing and Drafting, Civil Engineering Department, Ujjain Engineering College, Ujjain, M.P. India., Verma* Rajnandan , Singh Dr.Raghvendra ,   Professor of Civil Engineering Department, Ujjain Engineering College, Ujjain, M.P. India.
Published: January 2020

In these days, the cost and time of construction is in more priority for the client with the large working area for various uses. For the economically and minimum loss of material, pre-engineered building system (PEBs) has many advantage, because it gives more column free space at low cost. Pre-engineered metal buildings are more reliable for various uses like complex industrial facilities, warehouses and distributioncenters, stock-house, shopping malls, resort, motor court, office, cabin, service complex, aircraft-hanger, athletics and fun stadium, study places, temples, hospitals, and any types of industrial structures. In the pre-engineered metal building system, the rigid frame consists of slab, wall are connected with primary member (beam and column). This frame can spanlarge spacing without any intermediate columns. The frameswidths are spaced at spacing between 15 m to 60 m and span can increase with column-free up to 300 m in proposed building structures. Therefore in this paper, an attempt has been made to analyze a pre-engineered metal building with a span of 40 m with the help of finite element based software ETABS (2013). For the comparison, for the same span of 40 m length a conventional steel building is analyzed in same software. The results were found from both analysis indicated the pre-engineered steel building is economic with the conventional steel building as well as stablealso.
Data Adaptable Sparse Reconstruction for Hyperspectral Image Recovery from Compressed Measurements
Authors:   M.Tech. Degree Signal processing,Visveswaraya technological University, India., K S* Gunasheela , Prasantha H S ,   Professor, Department of Electronics and Communication Engineering, Nitte Meenakshi Institute of Technology (Affiliated to VTU Belgaum), Bangalore, India.
Published: January 2020

Hyperspectral image compression using compressive sensing technique is very much important in the area of satellite image compression because it can greatly en hance the compression rate. The research work proposes a novel data adaptable sparse reconstruction algorithm for the reconstruction of hyperspectral images from compressive sensing measurements. In the proposed algorithm, compressive sensing technique is used for the compression of HSIs, where Gaussian i.i.d. matrix is used to generate compressive sensing measurements. The algorithm solves the optimization problem containing total variation regularization and data adaptable parameter terms. The regularization terms are added to provide hyperspectral data characteristics as priors into the objective function. The addition of priors helps in convergence of the algorithm into the desired solution. The algorithm alternatively reconstructs the end member matrix and abundance matrix instead of reconstructing the entire HSI at once, thereby reducing the computational complexity at the reconstruction process. To nullify the effect of modelling errors, debiasing is performed.
Three Phase Matrix Converter A Replacement of Rectifier Inverter Frequency Changer
Authors:   Department of Electrical and Instrumentation Engineering, Thapar Institute of Engineering and Technology, Patiala, Punjab, India., Sonar* Santosh
Published: January 2020

This paper presents a three-phase AC-AC matrix converter as a frequency converter. Due to continuous increase in the use of electronics converters like AC- AC, AC- DC, DC –AC and DC-DC, there is always a thrust to develop a converter, which generates lesser harmonics, minimum switching losses and high quality desired waveforms across output and input. The matrix converter is modeled as a combined operation of Inverter and Rectifier. In this paper, the focus is to design and Implementation of Matrix Converter (MC) for frequency changing applications .A simple PWM mechanism is proposed to design a mathematical model of three phase Matrix Converter. There is no DC link between rectifier and inverter stage which add up some efficient properties like compact design, bi-directional current flow capabilities. A suitable commutation technique is analyzed. Simulation work is done in MATLAB Simulink environment and comparison with mathematical results are presented.
Multivariate Data Quality Enhancement by Ranked Imputation
Authors:   Research Scholar, Department of Computer Science and Applications, The Gandhigram Rural Institute (Deemed to be University), Dindigul, Tamil Nadu, India., Jayaraman Muralidharan , Shanmugavadivu* Dr. P. ,   Professor, Department of Computer Science and Applications, The Gandhigram Rural Institute (Deemed to be University), Dindigul, Tamil Nadu, India.
Published: January 2020

Organizational decisions are based on data-based-analysis and predictions. Effective decisions require accurate predictions, which in-turn depend on the quality of the data. Real time data is prone to inconsistencies, which exhibit negative impacts on the quality of the predictions. This mandates the need for data imputation techniques. This work presents a prediction-based data imputation technique, Rank Based Multivariate Imputation (RBMI) that operates on multivariate data. The proposed model is composed of the ranking phase and the imputation phase. Ranking dictates, the attribute order in which imputation is to be performed. The proposed model utilizes tree-based approach for the actual imputation process. Experiments were performed on Pima, a diabetes dataset. The data was amputed in range between 5% - 30%. The obtained results were compared with existing state-of-the-art models in terms of MAE and MSE levels. The proposed RBMI model exhibits a reduction of 0.03 in MAE levels and 0.001 in MSE levels.
An Intelligent System for Detecting Image Spam based on Exploration of Text Information Embedded into Images
Authors:   Department of Computer Science and Engineering, Bharathidasan University, Trichy, India., Rajalingam* Mallikka , Balamurugan Dr. M. ,   Department of Computer Science and Engineering, Bharathidasan University, Trichy, India.
Published: January 2020

Spam mails act as a immense hazard to communication security as it leads to phishing or virus attacks that could harm the user accounts and the organizations by exposing confidential information.With these inferences, the present research attempted to accurately detect image spam e-mails which have always been a topic of great research in data security. Detection of image spam mails is divided into two separate components- character segmentation and character recognition. While the former segments individual characters, the latter overcomes the issue of blocked texts and not well surveyed. The final phase of the work is a complete image spam detection system with the two proposed works built to detect spam messages. Various techniques have been proposed to tackle this setback and the principle of this paper is to evaluate and review several algorithms, talk about benchmark statistics or data, show appraisal of performance followed by potential direction for future work.
Adsorption of Copper (Ii) Ion by Leucaena Leucocephala Pods
Authors:   Faculty of Chemical Engineering, Universiti Teknologi MARA (UiTM), Shah Alam, Selangor, Malaysia., Razak* Noor Harliza Abd , Zulkepli Nur Amalia ,   Faculty of Chemical Engineering, Universiti Teknologi MARA (UiTM), Shah Alam, Selangor, Malaysia., Idris Juferi ,   Faculty of Chemical Engineering, Universiti Teknologi MARA (UiTM) Cawangan Sarawak, Kota Samarahan, Sarawak, Malaysia.
Published: January 2020

In this work, the efficiency of Leucaena leucocephala pods, an agricultural waste, to remove copper (Cu) ions in aqueous solution by adsorption. Batch mode experiments were carried out at 30 ◦C to study the influence of pH, contact time (t) and dosage on the adsorption of Cu by Leucaena leucocephala pods. The surface behaviour and the composition of the Leucaena leucocephala pods was characterized using pH of point of zero charge (pHPZC), Fourier transform infrared spectroscopy (FTIR). It is shown that Leucaena leucocephala pods adsorbent can effectively remove Cu from aqueous solutions. The best sorption results were obtained at pH 8.0 , 0.75 g dosage and within time 80 min. The FTIR studies indicated was existence of surface hydroxyl, carboxyl and carbonyl groups. Adsorption method was used to successfully execute post adsorption elution of the loaded metal.
Impact Strength of HDPE Composites Roofing Panel from Natural Fibre
Authors:   Department of Bio-composite, Faculty of Applied Sciences, Universiti Teknologi MARA (UiTM), 40450 Shah Alam, Selangor, Malaysia, Mohd Ayob* Nurul Atiqah , Ahmad Mansur ,   Department of Bio-composite, Faculty of Applied Sciences, Universiti Teknologi MARA (UiTM), 40450 Shah Alam, Selangor, Malaysia,, Osman Syaiful ,   Department of Bio-composite, Faculty of Applied Sciences, Universiti Teknologi MARA (UiTM), 40450 Shah Alam, Selangor, Malaysia, Ibrahim Zawawi ,   Malaysian Palm Oil Board (MPOB), Stesen Penyelidikan Usahasama MPOB/UKM Jalan Sekolah, Pekan Bangi Lama, 43000 Kajang, Selangor, Malaysia
Published: January 2020

Residues from agricultural waste has increased in demands due to its useful products. This paper will focused on the density and type of fibres effects on roofing panel strength made from natural fibre reinforced HDPE. Natural fibre reinforced HDPE with three different types at different ratios for each composite were prepared in laboratory. Dynatup 9250HV was used to test impact strength of the composite. The impact strength of all composite boards was determined based on the Energy (J) value. Both the density and types of natural fibre have significantly affected the impact strength. Bamboo fibre gave the best impact properties compared to coconut coir and kenaf. There is only slightly difference between impact strength value for bamboo and kenaf which is in the range of 2.76MPa to 3.82MPa. Ratios at fourty (40) gave higher density value and results in better impact strength. In general, there is significantly difference between the ratios among the fibres.