bluuebunny/crossref_metadata_2025 huggingface dataset:
Soil Testing using Sensors with Android Application
Authors:   Dept. of Computer Science and Technology, Aarupadai Veedu Institute of Technology, Vinayaka Missions Research Foundation Chennai, India., Rajaprakash Dr. S. , Muthuselvan S. ,   Dept. of Computer Science and Technology, Aarupadai Veedu Institute of Technology, Vinayaka Missions Research Foundation Chennai, India., Karthik K. ,   Dept. of Computer Science and Technology, Aarupadai Veedu Institute of Technology, Vinayaka Missions Research Foundation Chennai, India., kumar Niranjan ,   Final year CSE in Aarupadai Veedu Institute of Technology an ambit institution of Vinayaka Missions Research Foundation (Deemed to be University), Tamil Nadu,, Karmarkar Hemant ,   Final year CSE in Aarupadai Veedu Institute of Technology an ambit institution of Vinayaka Missions Research Foundation (Deemed to be University), Tamil Nadu.
Published: October 2019

With advancement in innovation different rural practices have moved from customary procedures to computerized methods like field water system framework. Numerous such horticultural parameters are being checked remotely to improve nature of cultivating. A standout amongst the most critical parameter in cultivating is soil fruitfulness for example proportion in which different supplement fundamental for yield is available in soil. To screen soil ripeness, pH of the dirt is most normally estimated. It is likewise a standout amongst the most helpful and educational soil parameters in view of its relationship to numerous parts of soil ripeness and plant development. In spite of its significance, the ramifications of lacking soil pH on rummage reaction, especially supplement use productivity, are frequently ignored. In the proposed framework we decide the normal level of essential soil supplements Nitrogen, Phosphorous and Potassium and decide the appropriate yields for the specific soil type. In this work it will break down soil supplement content at ongoing and make crop expectation. Framework will be based on Arduino. Framework will likewise propose the yields on premise decided PH of soil.
Leading Happiness: Leadership and Happiness at a Workplace
Authors:   Public and Curriculum Study Centre, Universiti Tun Hussein Onn Malaysia, Johor., Isa* Khairunesa , Tenah Siti Solehah ,   Research Management Centre, Universiti Tun Hussein Onn Malaysia, Johor., Atim Asliaty ,   Centre of Language Studies, Universiti Tun Hussein Onn Malaysia, Johor., Jam Nor Aishah Mat ,   Universiti Tun Hussein Onn Malaysia, Johor.
Published: October 2019

Organizational achievement is determined by a number of factors, particularly human resources. Human resources with high levels of happiness will affect productivity and the smoothness of tasks performed. Since employees spend most of their day working in an organization, it is obvious that the organizational environment will affect the employees’ emotional well-being. This article discusses the meaning of happiness at workplace and the leadership factors that influence employees’ happiness. Other than adopting effective leadership concepts, leaders who have the skills to listen and think about the career path of the employees are found to highly influence their employees' happiness in the organization.
Factors Affecting Services for Computer Assisted Learning In a Remote Area: Analysis of Structural Equation Modeling
Authors:   Teacher Training and Education departement ,University of Muhammadiyah Gresik , Gresik, Indonesia, Anwar* Khoirul , Asari Slamet ,   Teacher Training and Education departement ,University of Muhammadiyah Gresik , Gresik, Indonesia, Fuaziyah Nur ,   Teacher Training and Education departement ,University of Muhammadiyah Gresik , Gresik, Indonesia, Arifani Yudhi ,   Teacher Training and Education departement ,University of Muhammadiyah Gresik , Gresik, Indonesia, Suryanti Sri ,   Teacher Training and Education ,University of Muhammadiyah Gresik , Gresik, Indonesia
Published: October 2019

Students in remote areas need to obtain adequate educational services including the use of computer technology to enhance effective and quality of learning process. This study aimed to analyse students’ perception towards computer-assisted learning services at some high schools with restricted learning technology in an isolated area. Particularly, it emphasized to find the influence of teacher behaviour, credibility, communication, and accessibility to the use of computer assisted learning. A five-Liker scale of service indicators containing 15 items within four dimensions, namely teacher behaviour, credibility, communication, and accessibility was administered to 117 respondents. A structural equation modelling was applied to analyse the data. The results illustrated that teacher behaviour (1.00), credibility (1.00), and communication (1.00) were perceived to be the most influential factor affecting compared to the teacher service of accessibility (0.74) on computer-assisted learning. This research proved that basic education service was a competent teacher with adaptable behaviour, credible, and upright communication. Accordingly, for the learners who were not yet fully literate in technology, the role of teachers became highly prominent in constituting respectable, credible, and communicative behaviour on the use of computer-assisted learning. Further research is recommended to address other potential areas to ensure other influential control of those four facets.
A Graceful Smart-ware with Numerous Features
Authors:   Department of Biotechnology, Noida Institute of Engineering and Technology, Mishra Dr. Rashmi , Tyagi Pooja ,   Department of English, Noida Institute of Engineering and Technology
Published: October 2019

As per the modern era, street casualties are the significant explanation behind human passing. Street calamity, however an unforeseen occasion yet has asserted numerous lives till date .Wearing an intelligent helmet may anticipate genuine head wounds yet will in any case cause loss of lives. Utilization of SMART HELMETS can make you mindful of your encompassing condition and help you handle the circumstance and anticipate mishap. Savvy protective helmets has two HUD shows, double back view cameras, acoustic and visual traffic cautions, electro-tint visor, impact nearness admonitions, recognizes crash and sends data to a relative/emergency vehicle. It utilizes Peltier module for cooling and coagulating of blood if there should arise an occurrence of wounds and solar based boards for power framework alongside battery. It gives highlights like route, Bluetooth correspondence, commotion control and remote music framework that gives better riding knowledge. A brilliant head protector is an extraordinary thought which makes riding more secure and agreeable than previously. This uses GSM and GPS innovation. This savvy protective helmet tackles a genuine difficulties with hello there tech answers for make the ideal riding condition for the open street.
Security Risks in the Software Development Lifecycle
Authors:   College of Computer and Information Science, Prince Sultan University, Riyadh, Saudi Arabia, Alenezi* Mamdoh , Almuairfi Sadiq ,   Information Technology Center, Prince Sultan University, Riyadh, Saudi Arabia
Published: October 2019

Security is a significant concern in software development. Risks and errors should be reduced and as much as possible eliminated. Especially with how the computer and internet provide numerous technological benefits and are being optimally utilized in the present times, users have high expectations when it comes to secure software products. The development cycle in software design is comprised of a systematic process wherein security risk assessment should be integrated into each phase. In order to ensure quality software with a high level of security, the best practices in risk management should be implemented from the beginning and should be performed throughout the process. While developing highly secure software is a complex task, therefore, it must involve more dedicated security activities that are usually ignored in traditional SDLC. In this paper, the nature and phases of secure software development will be discussed as well as the security risk assessment models and practices involved in it. This will provide software developers, programmers, or engineers the awareness on secure software development cycle which will allow them to plan efficient strategies and enhance their performance, thus, resulting in quality and reliable output. In addition, we present a qualitative study looking at real-life practice employed towards software security risk. We reflect on how well current risk practices follow best practice, identify pitfalls, and explore why these occur & mitigate.
ANN Classifier for Human Age Classification
Authors:   Dept. of CSE, SASTRA DEEMED UNIVERSITY, Thanjavur India, R* Thanuja , keswari Dr.A.Umama ,   Dept. of CSE, SASTRA DEEMED UNIVERSITY, Thanjavur India, Devi D Rubidha ,   Dept. of CSE, SASTRA DEEMED UNIVERSITY, Thanjavur India.
Published: October 2019

Face recognition is an interesting research study with many researchers from computer vision and biometrics fields.The performance of existing methods on real-world images is still significantly lacking, especially when compared to the tremendous leaps in performance recently reported for the related task of face recognition. In this paper we propose a novel technique to group the age of a human dependent on facial skin maturing highlights. Artificial Neural Network (ANN) is proposed to characterize human age into different age gatherings. The ideal highlights are removed utilizing advanced picture handling methods like Local Binary Pattern (LBP), Elliptical Local Binary Pattern (ELBP) and Wrinkle Analysis. The proposed age characterization structure is prepared to test with human face pictures from SQL database with high precision.
Customer Preference Towards Online Shopping of Organic Food Products In Coimbatore District
Authors:   Ph.D Research Scholar [Management], Department of Business Administration [PG] K.S.Rangasamy College of Arts and Science (Autonomous), Tiruchengode, Tamil Nadu, India, MOHANRAJ Mr. M. , SURESHKUMAR Mr.J. ,   Ph.D Research Scholar [Management], Department of Business Administration [PG] K.S.Rangasamy College of Arts and Science (Autonomous), Tiruchengode, Tamil Nadu, India, JAGANATHAN Dr.A.T. ,   M.B.A., M.Phil., Ph.D., Associate professor in B.B.A Vivekanandha Arts and Science College for Women, Veerachipalayam, Sankari, Tamil Nadu, India
Published: October 2019

In today’s scenario, online shopping is playing an important role in the life of human because time is precious for every people. People have become very busy in their work and they are unable to make their shopping daily. In this article we are going to discuss regarding the preference of organic food products through online shopping (Basha, 2014). Awareness of organic products has been increasing steadily and Consumers are started to prefer organic food products because they are healthy, safety and environmental friendly (Brijesh Sivathanu, 2015). Consumer of organic food products are willing to purchase organic products through online shopping due to the time and travel constraints (Ramesh, 2015). In this paper the researcher has collected the sample size of 80 and tools used for the analysis are percentage analysis, chi- square analysis and Anova. The result of the study is found that the consumers are purchasing the organic food products through online shopping, especially for the health purpose.
Novel Framework for Analyzing Air Quality using MatLab
Authors:   M. Phil Scholar, Department of Computer Science, Alagappa University, Karaikudi, India., Radhika M. , Padmapriya* Dr. A. ,   Associate Professor, Department of Computer Science, Alagappa University, Karaikudi, India.
Published: October 2019

Nature of the air in city and urban regions is the most significant factor that legitimately impacts the frequency of infections and diminishes the personal satisfaction. Taking suitable choices in an opportune period relies upon the estimation and examination of the parameters of the ongoing air quality checking. On the other hand air contamination is ecological and a social issue. Air contamination is one of the biggest natural wellbeing dangers in the world today. The utilization of multi-parameter air quality observing frameworks makes it conceivable to do an itemized level investigation of real poisons and their sources. These air quality observing frameworks are significant segments in many shrewd city ventures for checking air quality and for controlling the primary poison fixations in urban zones. In this research work a methodology for practical estimation of air quality is proposed. This application has been tried in the city and the estimation was contrasted and the yield information of the neighborhood ecological control expert stations. The results of the performance analysis demonstrate that this methodology can be utilized as an affordable option in contrast to the expert evaluation frameworks. In this research work an investigation on the contamination by traffic framework utilizing dataset with grouping strategy through MatLab.
Serverless Computing Platform for Big Data Storage
Authors:   Computer Science and Engineering, Vel Tech Multitech Dr.Rangarajan Dr.Sakunthala Engg. College, Chennai, India, Christina .A Annie , A. R. Kavitha ,   Computer Science and Engineering, Saveetha Engineering College, Chennai, India
Published: October 2019

This paper describes various challenges faced by the Big Data cloud providers and the challenges encountered by its users. This foreshadows that the Serverless computing as the feasible platform for Big Data application’s data storages. The literature research undertaken focuses on various Serverless computing architectural designs, computational methodologies, performance, data movement and functions. The framework for Serverless cloud computing is discussed and its performance is tested for the metric of scaling in the Serverless cloud storage for Big Data applications. The results of the analyses and its outcome are also discussed. Thus suggesting that the scaling of Serverless cloud storage for data storage during random load increase as the optimal solution for cloud provider and Big Data application user.
A Low Overhead Image Registration Algorithm using DWT and WIPSO for Resource Constrained SBC based Embedded System Application
Authors:   Research Scholar, Biju Patnaik University of Technology , Odisha , India, Das Sameer Kumar , Pramanik Jitendra ,   Assistant Professor, Centurion University of Technology and Management, Odisha, India, Samal Dr. Abhaya Kumar ,   Professor, Trident Academy of Technology, Odisha , India, Adhikari Dr. Nibedita ,   Biju Patnaik University of Technology, Odisha., India
Published: October 2019

Image registration is a vital but integral component of any image processing application. Fundamentally, image registration involves transforming two or more sets of image data derived from different sources, collected at different instant of times, taken from different perspectives and from different viewpoints, all from different frames of reference into an image in a single coordinate system, a single frame of reference. Over the years, there have been many image registration techniques developed and used in variety of application fields. This paper proposes a computationally low overhead image registration technique that has been tested with variety of images using weight improved particle swarm optimization (WIPSO) algorithm integrated with discrete wavelet transform (DWT). Fundamentally, the proposed scheme comprises of a two-step approach, where the first step involves extraction of the random image from the source image which will serve as an ingredient for the formation of the particle swarm to be used in the WIPSO and the second step involves an explorative search for the target image in the area of interest from the selected population using WIPSO technique. Extensive simulation has established the effectiveness of the proposed soft-computing technique for variety of image registration application; even suitable for deployment in many resource-constrained single board computer based embedded system applications.
PAPR Reduction using DCT of MIMO-OFDM Systems Based Modified SLM Technique
Authors:   M. Tech. Scholar, Dept. of Electronics and Communication TIT, Excellence, Bhopal, Sahu* Kailash , Shukla Mr. Sandeep ,   Assistant Professor, Dept. of Electronics and Communication TIT, Excellence, Bhopal, Nema Dr. Rajesh ,   Professor, Dept. of Electronics and Communication TIT, Excellence, Bhopal
Published: October 2019

In this work, an endeavor has been made to consolidate adjusted SLM and PTS with DCT improves the PAPR decrease execution and limit the computational unpredictability without debasement in BER execution. This methodology has sensible PAPR decrease and computational multifaceted nature increments exponentially with increment in the subcarriers. In addition, when huge quantities of subcarriers are utilized, there exist high PAPR. So huge improvement is required for PAPR decrease and this can be accomplished utilizing changed SLM and PTS joined with DCT alongside CMA, interleaving and heartbeat forming. Despite the fact that, both these strategies give worthy PAPR decrease it conjures unsuitable multifaceted nature and influences data transfer capacity effectiveness.
Congestion Control for Improved Cluster-head Gateway Switch Routing Protocol using Modified Ad-hoc on-demand Distance Vector Algorithm
Authors:   B.E. degree in Electronics Engineering from Mysore University, Mysore, Karnataka, India, Mahadevaswamy* U B , M P Jananitha ,   BE degree in electronics and communication from BGSIT B.G Nagar, Karnataka, India
Published: October 2019

MANETs are a trending topic in the wireless communication network. MANETs are formed automatically by an autonomous system of mobile nodes that are connected via wireless links. Cluster-head gateway switch routing protocol (CGSR) is a proactive protocol which is also called table-driven protocol. It consists of routing table information before setting up a connection. Ad-hoc on-demand distance vector protocol (AODV) is a reactive protocol, it sets path only when demanded by the network. CGSR protocol forms a group of nodes into clusters and selects a node as cluster-head based on some clustering algorithms for each cluster. In this paper, we have proposed a protocol, which combines the advantages of both CGSR and AODV to minimize traffic congestion in an ad-hoc wireless network. The performance metrics such as routing overhead, end-end delay, packet delivery ratio, throughput, and average energy consumption are enhanced and compared with other clustering protocols such as CGSR and LEACH protocols. The comparison result reveals that the routing overhead, end-end delay, and the average energy consumption is reduced and packet delivery ratio, throughput is improved.
Pressure Performance Assessment of Juja water Distribution Network using EPANET model
Authors:   Department of Civil Engineering, Pan African University Institute of Basic Sciences, Technology and Innovation, Kenya., Mensah* Agboka Komi , Mayabi Alfred O. ,   Department of Civil, Construction and Environment Engineering, JKUAT University, KENYA., Cheruiyot Charle ,   Department of Civil, Construction and Environment Engineering, JKUAT University, KENYA.
Published: October 2019

The current study was carried out to analyse the pressure performance within the existing Juja water distribution network. The study used EPANET as a simulation tool, and the nodal demand was calibrated using an inversion approach. The nodal demand was first calculated using population projection and secondly adjusted to feet field pressure collected with gauges at some point in the network. The analysis was run for an extended period using demand pattern multiplier collected from the water company in charge of the network. The analysis shows that the network is not able to meet the required pressure at the maximum hour of consumption. This results by slight pressure precisely around Gate C (Joyland and Greenfield); however, the pressure seems to be reasonable at the regular hour of consumption. In addition, the network during the night faces high pressure because of the decrease in consumption. This may explain the frequency of leakages occurs mostly during the night in the Juja distribution system. The study recommended the capacity building of the network, which will provide better services to Juja consumers.
3D Modelling of Earth Kinematics in Palestine for GNSS and Geodetic Time-Dependent Positioning
Authors:   Surveying and Geomatics Engineering / Civil and Architectural Engineering Department, College of Engineering, Palestine Polytechnic University, Hebron, Palestine., Younis* Ghadi
Published: October 2019

The use of GNSS technologies for precise point positioning enabled the calculations for single-point observations or relative positioning of long baselines. The GNSS absolute and relative positioning techniques can be implemented between points within different tectonic plates, while the classical surveying methods start from local reference/triangulation points to near points within a few kilometers. The definition of the kinematic models of the earth has become an important role in GNSS measurements techniques and networks adjustment methods based on international terrestrial reference frames (ITRF), where the reference points can be located in different continents and tectonic plates. Thus, the position calculations in the ITRF systems are time-dependent. To satisfy the requirements of land and cadastral surveying, the bidirectional transformation between classical geodetic networks and GNSS global, regional and local networks is nowadays a primary requirement in modern geodesy. While the classical networks were defined locally assuming a static earth system, the ITRF coordinates by GNSS techniques are defined globally and directly affected by earth kinematics including plate tectonics and local crustal movements. However, Palestine has a special kinematic situation because it is located at the border between two plates; Nubia/Sinai plate and the Arabia plate along the Jordan valley line. Thus, the result is unsteady surface kinematics all over the country, which has a longitudinal shape parallel to the Jordan valley rift. Using the IGS/EUREF stations and GNSS stations data that are freely available on the internet, varying positional velocities were calculated in both magnitude and direction using years of daily available GNSS raw observations. The GNSS precise observation techniques have proven that the points of the classical networks were subjected to a kinematic situation over the years. Therefore, the Palestinian geodetic network has to be revised for kinematic effects for the integration with the modern GNSS positioning. In this work, the effect of surface movements is included in the calculations between the different ITRF coordinate systems and the classical geodetic network of Palestine. To achieve the required transformations between ITRF and the classical network, a velocities model was established and tested utilizing GIS raster interpolation. The accuracy of the modeled velocities could support 1cm in static or real-time GNSS positioning. This made it possible for the integration between geodetic measurements between different time epochs.
A Novel HNN-DOC for Automated Agricultural Ontology Construction on Climate Factors
Authors:   Research Scholar, Sathyabama Institute of Science and Technology, Chennai, India., Deepa* R , Deepa R ,   Assistant Professor, St.Joseph's college of engineering, Department of Information Technology, Chennai, India., Vigneshwari S ,   Associate Professor & Head, Department of Computer Science and Engineering, Sathyabama Institute of Science and Technology, Chennai, India.
Published: October 2019

Ontology has a huge potential for enhancing data association, executives, and understanding. One important criterion of domain ontologies is that they should accomplish a high level of inclusion of the domain concepts and concept relationships. However, the improvement of these ontologies is regularly a manual, time consuming, and frequently results in error. This problem leads towards the need for automation of ontology construction. Agriculture is a critical domain in our country faces problem due to the lack of knowledge on cropping pattern exclusively after the adverse effects of global warming. This paper gives a novel Hybrid Neural Network for Agricultural Ontology Construction (HNN-AGOC) for farmers through the Agro-Pedia dataset for predicting cropping automatically. The HNN-AGOC comprised of Convolutional Neural Network (CNN) for classifying the extracted features and Recursive Neural Network (RNN) for prediction in ontology construction. The algorithm was initially trained with the training dataset, and the performance analysis was performed on different performance metrics. The HNN-AGOC algorithm achieved the overall accuracy, precision, and recall values as 85.23%, 70.10%, and 80.24 % respectively.
6401 Published By: Blue Eyes Intelligence Engineering & Sciences Publication Retrieval Number C5611098319/2019©BEIESP DOI: 10.35940/ijrte.C5611.098319 Journal Website: www.ijrte.org Pollution Hazard Caused by Anti-Disease Drugs in Hospital Environments Near Chennai
Authors:   Department of Mechanical Engineering, Hindustan Institute of Technology and Science, Chennai, India, Kumar A.John Presin , Solomon G. Ravikumar ,   Department of Mechanical Engineering, Hindustan Institute of Technology and Science, Chennai, India, Sivakumar S. ,   Department of Mechanical Engineering, Hindustan Institute of Technology and Science, Chennai, India, Sathish S. ,   Department of Mechanical Engineering, Hindustan Institute of Technology and Science, Chennai, India, Harikrishnan S. A. ,   Department of Mechanical Engineering, Hindustan Institute of Technology and Science, Chennai, India, Babu R.Sathish ,   Department of Mechanical Engineering, Hindustan Institute of Technology and Science, Chennai, India
Published: October 2019

This work focuses on the effect of various possible air pollutants emitted in hospital environments due to usage of anti-disease drugs to counteract various human disorders. Quantitative pollution survey was conducted for the area consisting of tuberculosis related hospitals and pharmaceutical areas near Chennai. In general, all these drugs may have adverse bad effects on the well health of human community. These anti-disease drugs could be thus named as toxic polluting gases. Healthcare workers and nurses in hospitals are directly inhaling these toxic polluting gases at a slower rate and could possibly suffer with various health complexities. Experimental statistical survey was done to observe the severity of pollution around the place. Time bound study and observation was conducted to know the pollution effect. Pollution survey was conducted for the time period of four consecutive months from January 2019 to April 2019 in three thoracic units each with three selected sites as general ward, special ward and common area. Air quality index (AQI) was calculated and remedial measures were suggested.
Cover Quality Index 2019 uses the Geographic Information System in Pariaman City, West Sumatra Province, Indonesia
Authors:   M.Ed degree from Padang State University, Indonesia,, Oktorie Olivia , Hermon Dedi ,   Department of Geography and Postgraduate, Padang State University., Erianjoni  ,   (Padang State University, Indonesia) Postgraduate, Padang State University., Syarief Azhari ,   (Padang State University, Indonesia), Postgraduate, Padang State University., Putra Aprizon ,   M.Sc degree from Andalas University, Indonesia,
Published: October 2019

The purpose of calculation and compiling the Land Cover Quality Index (LCQI) is to evaluate the value of natural and environmental resources based on land cover conditions in an administrative region such as city, regency and province in Indonesia referring to the Regulation Director General of Pollution Control and Environmental Damage Number P.1/PPKL/PKLA.4/2018. The analytical method used in the calculation of the Normalized Difference Vegetation Index (NDVI), the Maximum likelihood classification approach, and the preparation of LCQI calculation methods based on 1) sufficiency area (forest region) and forest cover at minimal 30% on rivers and islands; 2) Ability and suitability of land minimal 25%; and 3) a link with the direction of land use in urban areas of at minimal 30%. The results showed the vegetation density index value in Pariaman city was classified as a good category with a value of 0.474903 μm, the results of a land cover classification in Pariaman City with the largest region are found in mixed gardens land of 2,736.57 ha or 37%. Whereas the smallest region is found in cypress vegetation land as a greenbelt at the coastal border 12.06 ha or 0,16%. and the results of the LCQI calculation indicate the LCQI value in 2019 (24,06) which is in the alert classification (<50). The increase in land cover outside the forest region is mainly directed at increasing green open space because Pariaman City does not have natural forest which are vulnerable to changes in land cover because of its high population density.
Variation of THD in Output Quantities of Three Pahse SPWM-VSI by Varying the Parameters of RLC Filter Connected at Output of Inverter
Authors:   Assistant Professor & Head, Department of Electrical Engineering , Uttaranchal Institute of Technology Uttaranchal University ,Dehradun, INDIA., Sharma Amit kumar , Negi Gaurav Singh ,   Assistant Professor, Department of Electrical Engineering , Uttaranchal Institute of Technology Uttaranchal University ,Dehradun, INDIA.
Published: October 2019

Paper deals with the analysis of three phase Sinusoidal pulse width modulated (SPWM) Voltage source inverter output in term of total harmonic distortion (THD). Analysis is done by implementing the model in MATLAB/SIMULINK platform. By implementing filter at the output terminals of inverter, its current and voltage wave becomes purely sinusoidal. Analysis is carried out by varying RLC filter parameters and due to their variation, effect on THD in inverter filtered line voltage, line current & phase voltage is measured. Filter inductance ‘L’ & capacitance ‘C’ are varied one by one keeping other parameters constant & effects has been plotted on various graphs & listed in tables. It has been observed that by varying the RLC filter parameters THD in output quantities of SPWM VSI inverter shows a remarkable change in its value. This work may provide one of the best alternative solutions to design a filter for SPWM VSI inverter feeding to any drive.
Efficient Moving Vehicle Detection Algorithm for Various Traffic Conditions
Authors:   Department of EIE, Dr. Ambedkar Institute of Technology, Bangalore, Karnataka, India., N* Sridevi , Meenakshi M ,   Department of EIE, Dr. Ambedkar Institute of Technology, Bangalore, Karnataka, India.
Published: October 2019

Many computer vision applications needs to detect moving object from an input video sequences. The main applications of this are traffic monitoring, visual surveillance, people tracking and security etc. Among these, traffic monitoring is one of the most difficult tasks in real time video processing. Many algorithms are introduced to monitor traffic accurately. But most of the cases, the detection accuracy is very less and the detection time is higher which makes the algorithms are not suitable for real time applications. In this paper, a new technique to detect moving vehicle efficiently using Modified Gaussian Mixture Model and Modified Blob Detection techniques is proposed. The modified Gaussian Mixture model generates the background from overall probability of the complete data set and by calculating the required step size from the frame differences. The modified Blob Analysis is then used to classify proper moving objects. The simulation results shows that the method accurately detect the target.
Implementation and Analysis of Enhanced Obfuscation Technique for Data Security
Authors:   Department of Computer Science and Technology, Central University of Punjab, City Campus, Bathinda, India., Tanuja*  , Meenakshi  ,   Department of Computer Science and Technology, Central University of Punjab, City Campus, Bathinda, India.
Published: October 2019

With the fast development of digital exchange of data in an electronic way, data and information security are becoming more important in both transmission and data storage. Cryptography is used as a solution which plays an important role in data and information security systems against malicious attacks. The encryption technique is used to provide confidentiality to the data during transmission because security threats are more on data during transmission than data at rest. One can also use encryption to secure user’s data at data storage (i.e., data at rest). But an encryption algorithm consumes a more amount of computing resources such as processing power, memory and computation time. Obfuscation technique is a very lightweight technique that comes into a picture to protect the data at storage from malicious attacks. There are many obfuscation techniques are available to ensure the confidentiality of the data. In this paper, an obfuscation technique has been proposed and implemented which uses a 128-bit key to improve the security of the data. The experimental results show that the time taken for obfuscation and de-obfuscation is less and also from the security point of view it provides high avalanche effect.
Surface and Curve Languages
Authors:   department of Mathematics, Madras Christian College, Chennai., Arulraj* Anitta , Thamburaj Robinson ,   department of Mathematics, Madras Christian College, Chennai., Samuel Huldah ,   department of Mathematics, Madras Christian College, Chennai.
Published: October 2019

In the area of combinatorial studies of string languages under formal grammars, the concept of Generalized Parikh Vector (GPV) gives the positions of symbols in linear strings. It has been proved that GPVs of the strings of the same length lie on a hyper plane. The studies on GPV of strings over a binary alphabet gave rise to the concept of line languages. The concept has been extended to surface languages in this paper.
Color Image Compressor using Discrete Wavelet Transform and Block Based Image Coding
Authors:   M. Tech. Scholar, Electronics & Communication Dept. TIT, Bhopal, Jagtap* Kiran , Burse Kavita ,   Professor, Electronics & Communication Dept. TIT, Bhopal
Published: October 2019

In the present time of sight and sound, the necessity of picture/video stockpiling and video playback, transmission for video conferencing, picture and video recovery and so forth are expanding exponentially. Thus, the need of better pressure innovation is consistently popular. Present day applications, notwithstanding high pressure proportion, additionally interest for proficient encoding and deciphering forms, with the goal that computational imperative of some continuous applications is fulfilled. Two broadly utilized spatial space pressure systems are discrete wavelet transform and multi-level block truncation coding (BTC). DWT method is used to stationary and non-stationary images and applied to all average pixel value of image. Muli-level BTC is a kind of lossy picture pressure strategy for greyscale pictures. In this,the unique picture is partitioned into squares and after that uses a quantizer to decrease the quantity of dark levels in each square while keeping up a similar mean and standard deviation. In this paper is studied of Multi-level BTC and DWT technique for gray and color image.
Integral Assessment of Risk Level in Libraries using the Grey Clustering Method
Authors:   Department of Engineering, Mining Engineering Section, Pontificia Universidad Católica del Perú – PUCP, Lima, Peru., Delgado* Alexi , Maguiña J. ,   R. Cabezas, S. Hidalgo, Environmental Engineering Program, Universidad Nacional de Ingeniería, Lima, Peru., Carbajal Ch. ,   Administration Program, Universidad de Ciencias y Humanidades, Lima, Peru
Published: October 2019

The purpose of this study is to simultaneously analyze the different risk factors (lighting, noise, and ergonomics), obtain an overall assessment of the risk of these factors and classify them in scales of levels of: Very poor, poor, good and very good, from three libraries of the National University of Engineering. In order to classify them, the grey clustering method was used, which establishes two types of data: Standard data and sampling data, the first one refers to the minimum standards required to be met by a library according to each criterion (lighting, noise, ergonomics). The second one refers to the real data obtained in the field. Both data are evaluated in the indicated methodology and the clustering vector is constructed, which will allow to classify the libraries in the scales of established levels. According to the results obtained, it was determined that the lowest noise levels were obtained in the library of the Faculty of Environmental Engineering; nevertheless, these levels are not within the minimum standards of noise for libraries; in addition, it was determined that the lowest values obtained in illumination of each library correspond to the library of the Faculty of Environmental Engineering, since it is in levels of illumination significantly below what is required according to the minimum standards. On the other hand, adequate lighting levels were obtained in the library of the Faculty of Sciences, and it was determined that the best ergonomic comfort was obtained in the Central Library. According to the overall assessment of each of the libraries under study, according to the scale of levels established, it is concluded that the library of the Faculty of Environmental Engineering is at a poor level with respect to the other libraries (good level).
Pcc Constituents Quantification Through Partial Replacement of Fine Aggregate and Cement
Authors:   Head of the Department, department of civil engineering, GRIET, Hyderabad., Reddy Dr.V.Mallikarjuna , Karthik* Tammisetty Srinivas ,   Post Graduate student, department of civil engineering, GRIET, Hyderabad.
Published: October 2019

The paper aim is to acknowledge the use of Quartz Sand (silica sand) & Metakaolin in replacement of natural sand and cement. As the natural sand is depleting at an alarming rate due to perpetual mining and on other side the emission of co2 from production of cement causing global warming. The M30 grade is prepared as well as evaluated for strength characteristics viz. split tensile, compressive and flexural. Ordinary Portland cement is replaced with metakaolin at 0,10,20,30,40 and 50%, while the fine aggregate is replaced with Quartz sand at 40% constant by weight. The specimens are casted and tested for split tensile, compressive and flexural strengths after curing for 7,14,28 days.
Infrastructure Support for the Development of Small Businesses
Authors:   Federal State Autonomous Educational Institution of Higher Education «Northern (Arctic) Federal University named after M.V. Lomonosov», Arkhangelsk, Russian Federation, Zhura* Svetlana
Published: October 2019

For the purpose of sustainable development of small businesses, it is necessary to pay special attention to the formation of infrastructure for small businesses. This study uses an institutional approach which involves assessing the impact of formal and informal institutions on the development of small businesses. The author introduces the concept of the “frontier” institution as an institution, the operation of which is governed by the prescriptions of laws and established regulations, but the performance of certain functions is based on informal rules. This allows such an institution to more effectively perform the functions of a formal institution and makes it more capable and competitive in the market in a specific period of time. Furthermore, the study identifies the concepts of the institutional environment and institutional infrastructure. The author defines the institutional environment as a set of rules of conduct and institutional infrastructure as a set of institutions that form the rules of conduct and have an impact on small businesses. The impact is understood as the formation by institutional actors of rules of conduct that have incentive and disincentive effects on small businesses. This makes it possible to identify the causes of positive or negative deviations in the development of small businesses and to develop solutions aimed at solving the problems encountered. The article studies the organizational and economic mechanism that reflects the functioning of formal and informal institutions through which institutional infrastructure influences small businesses in order to achieve their goals.
Performance Evaluation Parameters Analysis for Trellis Coded Modulation Systems
Authors:   Department of Electronics and Communication Engineering, CMR Institute of Technology, Bengaluru, India., Shivakumar Vanaja
Published: October 2019

The newer applications of Trellis Coded Modulation (TCM) beyond 5G has triggered the research activities for further inventions in this area. As a result, the inventions and research analysis on different aspects of the technique is in boom. This paper analyzes various performance evaluation parameters as applicable to coded modulation schemes which can be structured as a finite state machine. The significances of the parameters are discussed and the measurements through simulation are evaluated. Tradeoff between the decoding computational complexity and the coding- gain factor improvement has been analyzed.
SMS Spam Detection using Tokenization and Feature Engineering
Authors:   Student Institute : SRM Institute of Science and Technology Chennai Tamil Nadu India, Divakar* Akshay , Krishnakumar Sitara ,   Student Institute : SRM Institute of Science and Technology Chennai Tamil Nadu
Published: October 2019

The enormous development of innovation and mobiles, the clients have been exposed to more spam messages than any other time in recent memory ever. SMS spam separating is a nearly an exceptionally ongoing answer for arrangement with such a significant issue.. This paper moves us to chip away at the assignment of separating versatile spam messages as whether it is Ham or Spam for the clients by adding messages to the worldwide accessible SMS dataset. The paper plans to break down various AI classifiers on huge corpus of SMS messages for the individuals around the globe. This paper also informs or tells the readers about the existing algorithms and it’s inefficiency in filtering the ham messages from spam messages. This paper makes use of tokenization to create tokens which are then fed into the feature engineering model to extract features and then to predict the outcome.
Coagulation Followed By Ion Exchange to Treat Domestic Sewage
Authors:   Department of Chemical Engineering, National Institute of Technology, Raipur, India., Neela Acharya , Chandrakant Thakur ,   Department of Chemical Engineering, National Institute of Technology, Raipur, India., Kumar Chaudhari Parmesh ,   Department of Chemical Engineering, National Institute of Technology, Raipur, India.
Published: October 2019

The pollutants contained in domestic sewage (DS) was separated using coagulation in first stage followed by ion exchange (IE) in second stage. The coagulants FeCl3, Alum and Al2(SO4)3.16H2O were used for treatment. Among these, performance of Al2(SO4)3.16H2O and FeCl3 was equally good in term of chemical oxygen demand (COD) removal at their optimum pH and optimum dose. COD values were reduced to 78 and 80 mg/dm3 with Al2(SO4)3.16H2O and FeCl3 from initial value 256 mg/dm3. The FeCl3 coagulant treated DS was further treated using IE process, which was able to reduce hardness upto 10 mg/dm3 from initial value 580 mg/dm3. Settling of FeCl3 treated sludge was found to best and design of settler has been presented from experimental data.
Concept of implementing Big data in smart city: Applications, Services, Data Security in accordance with Internet of Things and AI
Authors:   Assistant Professor, Department of Computer Science and Engineering, Sri Krishna College of Engineering and Technology, Coimbatore, Tamilnadu, INDIA., kumar* V.Arul , Latha Dr.Charlyn Puspha ,   Associate Professor, Department of Information Technology, Saveetha Institute of Medical and Technical Sciences, Thandalam, Chennai, Tamilnadu, INDIA., Dasig Dr.Daniel Jr ,   Associate Professor, College of Science and Computer Studies, De La Salle University Dasmarinas, Philippines.
Published: October 2019

Smart cities are the current buzz phrase between infrastructure developments. With a gradually increasing inflow on populations into cities then a continuously thriving necessity to better deal with resources, countless cities kind of San Francisco, united states, Singapore, Portugal, England is experimenting together with upcoming state-of-the-art technologies after fulfill their cities smarter. Among these current trending technologies is the Internet of Things (IoT), Big Data and Artificial Intelligence (AI) which has revolutionized the way we analyze patterns yet traits between human behaviors. With Big Data, current fragmented and remoted data sets do stand well-acquainted beside an overarching point of view in accordance with provide high quality solutions in accordance with frequent issues up to expectation have an effect on rapidly growing cities today. Here are 5 ways within which Big Data could show fundamental in smart cities about the future. A lot of governments are thinking about adopting the smart city thought between theirs urban areas at that point executing impressive records services up to expectation assist smart city components in accordance with attain the required stage concerning supportability and improve the living norms. Smart cities take advantage of more than one technology in conformity with get better the concert about healthiness, transportation, power, education, and cloud applications lead after greater stages about remedy about their citizens. In addition, it attempts in accordance with pick out the necessities as assist the implementation on substantial data purposes for smart city services. The criticism displays as numerous possibilities are accessible because of making use of big data in smart cities; conversely, so are nevertheless various concerns and disputes in conformity with stay addressed to attain higher utilization about this technology.
Relevance of Technology Acceptance Model for the Implementation of Value Added Tax (VAT) In the United Arab Emirates (UAE): Evidence of Distinctive Behavioral Connections
Authors:   Department of Accounting, College of Business, Ajman University, Ajman, UAE., Kasim* Mohd Ariff Bin , Hanafi Siti Rosmaini Binti Mohd ,   Department of Accounting, College of Business, Ajman University, Ajman, UAE, Suki Norazah Mohd ,   Othman Yeop Abdullah Graduate School of Business (OYAGSB), Universiti Utara Malaysia, 06010 Sintok, Kedah, Malaysia.
Published: October 2019

The objective of this study is to examine the relationship between behavioral constructs of business operatives and their attitudes toward implementation of the Value Added Tax (VAT) in the United Arab Emirates (UAE). Data was collected using questionnaire survey for a sample of 189 business operators in the UAE. Path analysis using partial least square–structural equation modeling (PLS-SEM) was utilized to analyze the research model, applying the technology acceptance model (TAM) with addition of challenges to reflect the unique behavioral attributes in the UAE. The findings of PLS-SEM reveal that challenges were the primary construct related to the business operatives’ attitudes for implementation of the VAT. However, preparedness was the least influential factor on the attitudes of business operatives regarding implementation of the VAT. Thus, these results reiterate the significance of the TAM in explaining the behavioral dynamic of business operatives for the implementation of the VAT.