bluuebunny/crossref_metadata_2025 huggingface dataset:
Integrated Operation of Distributed Resources to Enhance Frequency Regulation in an Isolated Microgrid Environment
Authors:   Assistant Professor in CVR College of Engineering, Hyderabad, Telangana, India, Kumar* K.S.V Phani , Venkateshwarlu Dr.S. ,   Professor & Head of EEE at CVR College of Engineering, Hyderabad, Telangana, India.
Published: October 2019

There is a growing concern to be self-sufficient and reduce the dependency on external power generating sources to satisfy the energy demands. Issues such as integrated operation of these power sources without having a dedicated storage system with enhanced frequency regulation is to be addressed. In this paper, the distributed generating sources like solar photovoltaic, diesel generator, fuel cells and electric vehicles are considered. Electric vehicle participation in the frequency regulation comes with constraints on state of charge of the battery and availability of the vehicle. An adaptive-additive algorithm is proposed for performing energy resource management and to maintain the frequency within the allowable band during transient and steady state system conditions. Load variation and EV-fleet availability variations are considered in the paper for understanding the system’s response to frequency changes by performing small-signal-analysis. The results show coordinated and satisfactory response of the system to maintain frequency regulation. Economic viability is also focused in the paper.
Effect of Stone Dust on the Mechanical and Microstructural Properties of Opc Based Concrete Subjected To Acid Exposure
Authors:   Department of Civil Engineering, Calcutta Institute of Technology, Kolkata, India., Paul* Bikram , Karmakar Khokan ,   PWD, Kolkata, India., Ghosh Dr. Kushal ,   Department of Civil Engineering, NIT Sikkim, Ravangla, India., Ghosh Dr. Partha ,   Department of Construction Engineering, Jadavpur University, Kolkata, India.
Published: October 2019

A separate approach of sustainable development is to make the structures durable. More durable structures need to be replaced less frequently and will reduce the need for cement. Such increase in durability can be achieved by choosing appropriate mix designs and selecting suitable aggregates and admixtures. In this experiment sand (fine aggregate) is partially replaced by stone dust to make the concrete mix sustainable in nature. This study also investigates the durability of different types of concrete in acid exposure. Cube compressive strengths of different mixes have been compared to see how the concrete strength differs from original mixes. In addition different types of non-destructive tests such as ultrasonic pulse velocity test, rebound hammer test and half-cell potential tests have also been performed on the concrete samples for better analysis of their strength and durability characteristics. Specimens were analysed through the Scanning Electron Microscope to understand the microstructural changes of concrete samples. Energy dispersion X-ray analysis was also done to understand the changes in the nature of the hydration products of some specimen.
Impact of Corporate Governance on Financial Performance of Information Technology Companies
Authors:   Institute of Management, Christ (Deemed to be University), Dehli, NCR,India., Kaura* Dr. Puja , Dharwal Dr. Mridul ,   School of Business Studies, Sharda University, Greater Noida, India., Kaur Harjit ,   Dr.S.S. Bhatnagar University Institute of Chemical Engineering and Technology, Punjab University, Chandigarh, India., Kaur Paramjit ,   Research Scholar, Punjabi University, Patiala, Punjab, India.
Published: October 2019

Corporate Governance is a broad term in today’s competitive world. It is a series of processes, policies, rules, and regulations by which companies are managed and governed. In this perspective, the study attempts to analyze the impact of corporate governance on the financial performance of Information Technology (IT) Companies in India. Specifically, the study analyzed the impact of Board size, Board Composition, and Audit Committee Independence on Return on Assets and Return on Equity, which are considered as measures of financial performance. The findings of the study revealed that there is a significant and positive impact of Corporate Governance on Financial performance of IT companies, and Audit Committee Independence shows the most significant effect on Financial performance. The finding of the study endeavors to contribute to the limited literature available in the context of corporate governance in IT companies in India.
Assessment of the Air Quality in Four Cities with Near Mining Activity in Mexico, using the Grey Clustering Method
Authors:   Department of Engineering, Mining Engineering Section, Pontificia Universidad Católica del Perú – PUCP, Lima, Peru., Delgado* Alexi , Luna Emiliano ,   Geological Engineering Program, Escuela Superior de Ingeniería y Arquitectura Ticomán, Instituto Politécnico Nacional, Mexico., Hernández Mónica ,   Geological Engineering Program, Escuela Superior de Ingeniería y Arquitectura Ticomán, Instituto Politécnico Nacional, Mexico., Montero Karen ,   Geological Engineering Program, Escuela Superior de Ingeniería y Arquitectura Ticomán, Instituto Politécnico Nacional, Mexico.., Carbajal Ch. ,   Administration Program, Universidad de Ciencias y Humanidades, Lima, Peru.
Published: October 2019

Air pollution is a problem in large cities, which increases with population growth and industrialization. This work assessed air quality in four Mexican cities related to mining activities near monitoring points. The method used for this study was the Grey Clustering method, which is based on the theory of grey systems. This method uses information with a high degree of uncertainty, air quality analysis being an issue that uses data with a high degree of uncertainty. The results revealed that all four cities have good air quality based on Metropolitan Air Quality Index (IMECA) standards, even when mining activities take place near these cities. The results of this work could help the relevant authorities to implement further studies on the impact of polluting emissions from mining activities on the environment.
A Systematic Methodology on Class Imbalanced Problems involved in the Classification of Real-World Datasets
Authors:   Research Scholar , Department of Computer Science and Engineering, S V University College of Engineering, Tirupati, India., Santhi* K , Reddy A Rama Mohan ,   Department of Computer Science and Engineering, S V University College of Engineering , Tirupati, India.
Published: October 2019

Current generation real-world data sets processed through machine learning are imbalanced by nature. This imbalanced data enables the researchers with a challenging scenario in the context of perdition for both the machine learning and data mining algorithms. It is observed from the past research studies most of the imbalanced data sets consists of the major classes and minor classes and the major class leads the minor class. Several standards and hybrid prediction algorithms are proposed in various application domains but in most of the real-time data sets analyzed in the studies are imbalanced by nature thereby affecting the accuracy of the prediction. This paper presents a systematic survey of the past research studies to analyze intrinsic data characteristics and techniques utilized for handling class-imbalanced data. In addition, this study reveals the research gaps, trends and patterns in existing studies and discusses briefly on future research directions.
Decision Support Based Resource Allocation for Cost Reduction in Cloud Storage using Big Data Analytics
Authors:   Research Scholar, School of Computer Studies, Rathnavel Subramaniam College of Arts and Science, Coimbatore, India, L Mr. Krishnakumar , A Dr. Nithya ,   Research Supervisor, School of Computer Studies, Rathnavel Subramaniam College of Arts and Science, Coimbatore, India
Published: October 2019

Provision of highly efficient storage for dynamically growing data is considered problem to be solved in data mining. Few research works have been designed for big data storage analytics. However, the storage efficiency using conventional techniques was not sufficient as where data duplication and storage overhead problem was not addressed. In order to overcome such limitations, Tanimoto Regressive Decision Support Based Blake2 Hashing Space Efficient Quotient Data Structure (TRDS-BHSEQDS) Model is proposed. Initially, TRDS-BHSEQDS technique gets larger number of input data as input. Then, TRDS-BHSEQDS technique computes 512 bits Blake2 hash value for each data to be stored. Consequently, TRDS-BHSEQDS technique applies Tanimoto Regressive Decision Support Model (TRDSM) where it carried outs regression analysis with application of Tanimoto similarity coefficient. During this process, proposed TRDS-BHSEQDS technique finds relationship between hash values of data by determining Tanimoto similarity coefficient value. If similarity value is ‘+1’, then TRDS-BHSEQDS technique considered that input data is already stored in BHSEQF memory. TRDS-BHSEQDS technique enhances the storage efficiency of big data when compared to state-of-the-art works. The performance of TRDS-BHSEQDS technique is measured in terms of storage efficiency, time complexity and space complexity and storage overhead with respect to different numbers of input big data.
Performance Assessment of Content Based Image Retrieval System using Particle Swarm Optimization Algorithm and Differential Evolution
Authors:   Research Scholar, Department of Computer Science, Bharathiyar University, Ranjith* E. , Parthiban Dr. Latha ,   Head Incharge,Department of Computer Science, Pondicherry University, Community College
Published: October 2019

In this paper, a content-based image retrieval (CBIR) system is presented by employing 12 distance measurements and three types of visual parameters, undergo optimization through particle swarm optimization (PSO) and Differential Evolution (DE) algorithm. Here after, it is called as image retrieval system (IRS) method for the convenience. Initially, IRS derives three types of features of an image: texture, shape and color. Consequently, for every feature type, the similarity among the others and query image in a database D will be estimated, and it uses suitable distance measurements. To optimize the IRS, the closely optimum permutations among the features, similarity metrics and optimum weights for 3 similarities in terms of 3 types of features are determined. In this paper, we made a performance analysis of the application of PSO and DE algorithms to optimize the parameters in the IRS. At the end, simulation outcome shows that the DE method dominates the other traditional methods.
A Smart Health Care Applications and Benefits using IoT
Authors:   CSE, J B Institute of Engineering and Technology, Telangana, India., Naidu* Gullipalli Apparao , Kodati* Sarangam ,   CSE, Teegala Krishna Reddy Engineering College, Telangana, India., Selvaraj Jeeva ,   CSE, Brilliant Institute of Engineering & Technology, Telangana, India.
Published: October 2019

Internet of Things (IoT) is the developing paradigm, where a vast number of smart object and smart devices associated with the internet for communication. The fast development of the IoT technology makes it feasible for connecting different smart items collectively through the Internet and giving higher and more data interoperability strategies for significant utilize and other application reason. IoT devices are utilized in numerous fields which make the client's daily life all the more simple and agreeable. Patient Physiological data observing is significant in any hospital, this system proposed healthcare applications and benefits dependent on IoT, software, and hardware, this system can indicate temperature heart rate with precision and notice and passion state of a patient..
7313 Published By: Blue Eyes Intelligence Engineering & Sciences Publication Retrieval Number C6011098319/2019©BEIESP DOI: 10.35940/ijrte.C6011.098319 Journal Website: www.ijrte.org Structural, Dielectric and Electrical Properties of Fe Doped La0.7Ba0.3MnO3Solid Solutions for Cathode Materials
Authors:   I.K.Gujral Punjab Technical University, Kapurthala , Punjab, India, Paul* Surinder , Manokamna  ,   I.K.Gujral Punjab Technical University, Kapurthala , Punjab, India, Kaur Shubhpreet ,   MFM Lab, Department of Physics, Guru Nanak Dev University, Amritsar , Punjab, India, Malhi P.S. ,   Department of Physics, Guru Nanak Dev University, Amritsar , Punjab, India, Singh Anupinder ,   Department of Physics, Guru Nanak Dev University, Amritsar , Punjab, India, Kumar Arvind ,   Beant College of Engineering & Technology, Gurdaspur, Punjab, India
Published: October 2019

The solid solutions of (La0.7Ba0.3)(FexMn1-x)O3 where x = 0.1 - 0.5 ceramics were synthesized by conventional solid-state method. The structural analysis was done by X-Ray diffraction technique and the results have revealed that all the samples were crystallized into a single phase. The surface morphology was done by Scanning Electron Microscopy and the micrographs clearly indicate decreased grain size with the increasing Fe - concentration. The density of the prepared samples was done using Archimedes principle and the density values were found to be in decreasing order, which is well in agreement with the microstructure relationship. The dielectric and impedance properties have been studied at different ranges of frequency and temperature. The electrical conductivity values were found to be greater than 100 Scm-1, which suggests it to suitable cathode material of SOFCs.
Statistical Testing of Different Fusion Techniques on MRI & CT Images
Authors:   Research Scholar, Rayalaseema University, Kurnool, A.P, India., Somasekhar* A , Subbaiah P ,   Professor, Nalla Narasimhareddy College of Engineering, Hyderabad, Telangana, India.
Published: October 2019

Image fusion unites data from various modalities of identical prospect in to a single data retaining the significant and necessary features from each of the unique image. These days, with the hasty progress in high end technologies with contemporary instruments, has turn out to be a essential factor of a outsized numeral of applications, plus analysis, examine, and handling. Image fusion on medical field is the initiative progress of the picture substance by integrating data took from dissimilar picture tools like CT, MRI. MRI gives enhanced data on malleable hankie with lot of misrepresentation. But, one sort of picture might not be adequate to afford precise scientific necessities for the physicians. Therefore, the fusion of the different medicinal pictures is essential. In this work Static analysis of diverse fusion techniques are done with the help of parameters like Mean, Entropy, Correlation coefficient, Standard deviation, and covariance.
The Thermal Response of Concrete Frame Buildings in Arabic Area Considering Time-Dependent Properties of Concrete
Authors:   Designer Structural Engineer, Faculty of Civil Engineering, University Teknologi Malaysia, Johor Bahru, Malaysia., Sydnaoui* Ikhlass , Mohamed Dr. Roslli Bin Noor ,   Faculty of Civil Engineering, University Teknologi Malaysia, Johor Bahru, Malaysia., Kadir Dr. Mariyana Aida Binti Ab. ,   Faculty of Civil Engineering, University Teknologi Malaysia, Johor Bahru, Malaysia.
Published: October 2019

The Arabic area is known for its significant changes in climate temperatures within different seasons. Riyadh, Cairo, Abu Dhabi, Ras Al-Khaimah, Kuwait, and Baghdad are subjected to the maximum variance in daily temperatures and presents the mean values of daily temperatures considering the data collected by the Hong Kong observatory in China for the last 30 years. The maximum mean value of daily temperature, which is 44.6 ℃ in Kuwait, and the minimum mean value of the daily temperature in Baghdad is 3.8 ℃. The maximum difference values of daily temperatures are observed in the Arabic Gulf area countries, such as Abu Dhabi, Kuwait, and Riyadh. Hence, these values will be considered in this analysis. This study results fit the thermal requirements of Arabic area and regions with similar temperature variation, accounting for various design aspects considering both methodologies of time-dependent properties of concrete as per CEB FIP 90 code and non-time dependent properties as per ACI 224.3R. For those targets a finite element method is utilized by generating 272 single- storey concrete ETABS models. The models are categorized according to column support conditions and development of concrete properties over time. The study findings are utilized to develop a clear understanding of mentioned variable's effects at thermal deformations and column reactions to aid structural engineers in the thermal design of super-long buildings with similar conditions of this study within time. The thermal displacement grows in proportion to the height of the column and the length of the slab. The findings of the analysis also show that employing thick slabs slightly decreases thermal displacements for models with hinged column supports and a 6 m column height. The thermal reactions increase in proportion to the length of the slab and the fixity conditions. Meanwhile, these reactions are inversely proportional to the height of the column. The ratios of time-dependent deformation and reaction to those of non-time-dependent properties are within the range [159%-163%] and [168%-171%] respectively. Ignoring this difference imposes defects, additional cracks, and damages at the structures and related serviceability conditions for 70 years period.
Interaction of Employers and Universities in Training and Employment of Young Professionals
Authors:   Saint-Petersburg State University, Saint-Petersburg, Russia., Borisov* Alexander Fedoseevich , Tarando Elena Eugenievna ,   Saint-Petersburg State University, Saint-Petersburg., Pruel Nikolay Alexandrovich ,   Saint-Petersburg State University, Saint-Petersburg, Russia., Vorontsov Yaroslav Alekseevich ,   Russian Timiryazev State Agrarian University, Moscow, Russia., Trofimova Tatiana Alexandrovna ,   Saint-Petersburg University of the Ministry of Internal Affairs of Russia, Saint-Petersburg, Russia.
Published: October 2019

The article deals with the results of a sociological research focused on the interaction processes between employers and universities. We selected several information technologies companies and analyzed the main technologies of their interaction with universities of St. Petersburg. The article offers the vision of employers, universities and students interactions as a kind of social network, analyses the conflicting interests of every subject involved, and reveals the main problems that interaction arises between them. The results of the questioning of graduates, their opinion of problems in the modern youth labor market, which is dramatically short of skills because of the increasing gap between the needs of employers and the abilities of the staff provided by the education system, are analyzed.
Data Privacy Preservation using Aes-Gcm Encryption in Heroku Cloud
Authors:   PhD Scholar, CSE Department, NIT Silchar, Silchar, India., Das* Prasenjit Kumar , Sinha Nidul ,   Professor, Electrical Department, NIT Silchar, Silchar, India., B Annappa ,   Professor, CSE Department,NIT Karnataka, Surathkal, Mangalore, India.
Published: October 2019

The increasing popularity of cloud data storage and its ever-rising versatility, shows that cloud computing is one of the most widely excepted phenomena. It not only helps with powerful computing facilities but also reduce a huge amount of computational cost. And with such high demand for storage has raised the growth of the cloud service industry that provides an affordable, easy-to-use and remotely-accessible services. But like every other emerging technology it carries some inherent security risks associated and cloud storage is no exception. The prime reason behind it is that users have to blindly trust the third parties while storing the useful information, which may not work in the best of interest. Hence, to ensure the privacy of sensitive information is primarily important for any public, third-party cloud. In this paper, we mainly focus on proposing a secure cloud framework with encrypting sensitive data’s using AES-GCM cryptographic techniques in HEROKU cloud platform. Here we tried to implement Heroku as a cloud computing platform, used the AES-GCM algorithm and evaluate the performance of the said algorithm. Moreover, analyses the performance of AES/GCM execution time with respect to given inputs of data
Extraction of Texture Features from Panchromatic Images
Authors:   M.Tech Student, Dept. of Computer Science & Engineering, Sir C.R.Reddy College of Engineering, Eluru-534007, Andhra Pradesh, India., P* Sanjeevi , Krishna Dr. Malapalli ,   Professor, Dept. of Computer Science & Engineering, Sir C.R.Reddy College of Engineering, Eluru-534007, Andhra Pradesh, India.
Published: October 2019

A Framework for Delineation of Trees is used to detect the trees of the urban area and it is a desirable framework in urban are management. Delineation and detection of trees from satellite images is important for the estimation of the trees of the urban and rural area. In existing literature, most of the studies only deal with particular tree crown or tree species detection. There is no particular framework for detecting major tree species of urban area collectively from visually distinguishable satellite images and also there is a major problem of distinguishing trees from their shadows. In this paper we used the texture-based feature extraction methods and proposed new algorithms to extract simple texture features from the panchromatic images. The proposed methodology is divided into three phases. Pre-processing was done in first phase to minimize the unnecessary deformations. Quality of Image is increased by eliminating the dark spots and shadows etc. in second phase image segmentation was done to identify the image boundaries and objects in the image. Finally, in the third phase, a framework for delineation of trees was done using image enhancement and segmentation algorithms. The ultimate purpose that the knowledge obtained from the study is to developing a framework that can process shadows and then effectively detect and extract trees from satellite images.
Water Chemistry of Kolong River, Assam, India and Management Strategies
Authors:   Department of Zoology, Cotton University, Assam, India., Hazarika* Arup Kumar , Kalita Unmilan ,   Research Scholar, Department of Economics, Gauhati University, Assam, India.
Published: October 2019

Kolong river which is located in Nagaon district of Assam, India is among the 275 most polluted rivers in India, according to a report of the Central Pollution Control Board, Government of India. The rise in pollution with respect to rivers over the last few decades due to their incredible importance in several human uses as well as a medium for provision of ecosystem services all over the world. The present investigation was carried out for a period of four seasons, namely, Pre-monsoon, Monsoon, Retreating Monsoon and Winter for the year 2017. Samples of water from two sites of the River Kolong, namely, Site I (Jakhalabandha) and Site II (Nagaon Town), were collected and analysed. The physico-chemical parameters such as water temperature, pH, Conductivity, Alkalinity, Transparency, Hardness, Chloride, Magnesium, Phosphate, Dissolved Oxygen (DO), Biochemical Oxygen Demand (BOD) and Chemical Oxygen Demand (COD) were evaluated. Observations imply that the water quality in Site II was poor and unfit for drinking, compared to Site I. The present study also includes a discussion on the economic implications of Kolong’s water quality and the strategies for its management. The study finally emphasizes that state intervention and people’s participation is essential for maintaining and preserving the ecological health of the Kolong river in its pristine state.
Modelling of Nanoindentation of TiAlN and TiN Thin Film Coatings for Automotive Bearing
Authors:   Centre for Materials Engineering and Smart Manufacturing (MERCU), Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, Bangi, Malaysia., W. Zamri Wan Fathul Hakim , Suang Ng Jie ,   Centre for Materials Engineering and Smart Manufacturing (MERCU), Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, Bangi, Malaysia., Mohamed Intan Fadhlina ,   Centre for Materials Engineering and Smart Manufacturing (MERCU), Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, Bangi, Malaysia., Ariffin Ahmad kamal ,   Centre for Materials Engineering and Smart Manufacturing (MERCU), Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, Bangi, Malaysia., Md Din Muhammad Faiz ,   Department of Electrical & Electronics, Faculty of Engineering, Universiti Pertahanan Nasional Malaysia, Kuala Lumpur, Malaysia.
Published: October 2019

Bearings are critical components for the transmission of motion in machines. Automotive components, especially bearings, will wear out over a certain period of time because they are constantly subjected to high levels of stress and friction. Studies have proven that coatings can extend the lifespan of bearings. Hence, it is necessary to conduct studies on coatings for bearings, particularly the mechanical and wear properties of the coating material. This detailed study focused on the mechanical properties of single-coatings of TiN and TiAIN using the finite element method (FEM). The mechanical properties that can be obtained from nano-indentation experiments are confined to just the Young’s modulus and hardness. Therefore, nanoindentation simulations were conducted together with the finite element method to obtain more comprehensive mechanical properties such as the yield strength and Poisson’s ratio. In addition, various coating materials could be examined by means of these nanoindentation simulations, as well the effects of those parameters that could not be controlled experimentally, such as the geometry of the indenter and the bonding between the coating and the substrate. The simulations were carried out using the ANSYS Mechanical APDL software. The mechanical properties such as the Young’s modulus, yield strength, Poisson’s ratio and tangent modulus were 370 GPa, 19 GPa, 0.21 and 10 GPa, respectively for the TiAlN coating and 460 GPa, 14 GPa, 0.25 and 8 GPa, respectively for the TiN coating. The difference between the mechanical properties obtained from the simulations and experiments was less than 5 %.
Employee Competencies and Compensation Strategies as Company's Strategic Effort to Escalate Employee Performance
Authors:   Business Administration, Universitas Padjadjaran, Bandung, Indonesia., Tahir* Rusdin , Rudiyanto  ,   Business Administration, Universitas Padjadjaran, Bandung, Indonesia., Prayitno Arief ,   Business Administration, Universitas Padjadjaran, Bandung, Indonesia., Amiruddin Dadang ,   Business Administration, Universitas Padjadjaran, Bandung, Indonesia., Rosita Tita ,   Education Management, Univeristas Terbuka, Indonesia.
Published: October 2019

The purpose of this study is to reveal employee competencies and compensation received by employees, as well as their implications for employee performance. This study was analyzed descriptively and verificatively through a survey method of 329 marketing managers in retail companies in Indonesia. The technique of data collection is done by indirect communication, through instruments in the form of questionnaires. Data were analyzed by weighted means score (WMS) and Structural Equation Modeling (SEM). The results showed that employee competency was good, but not optimal, indicated by the indicator of the employee's need for the company and the employee's priority scale in the work was still weak. Furthermore, the compensation strategy is relatively good, indicated by indicators of salary/wages, incentives and cooperative facilities that are still weak. On the other hand, competencies and compensation strategies partially and simultaneously have positive and significant impact for employee performance which requires serious handling.
Real Time Implementation of Air Quality Monitoring System using IoT and Ubidots
Authors:   Research scholar, ECE, Sathyabama Institute of Science & Technology, Chennai (Tamil Nadu), India., Satyanarayana* P. , Narmadha R. ,   Associate Professor, ECE, Sathyabama Institute of Science & Technology, Chennai (Tamil Nadu), India.
Published: October 2019

Nowadays air pollution is main distress for the human being, as it is demeaning the green health and inhale the pollutant air is hazardous for the health of the human being. Because of bad things of the air pollution on the human being, the demand for the improvement of enormous quality air monitoring systems has been in superior demand. The air pollution monitoring system detect the concentration levels of air pollutants and the analysis of the collected information is required for the policymakers to take necessary and proper steps to decrease the level of air pollution for the wellbeing of their citizens. The air pollution monitoring mechanism implemented in this paper is based on Arduino UNO board and IoT platform. The Arduino UNO board interface with Ubidots platform using ESP8266 Wi-Fi Module. Generally in cities Wi-Fi hotspots are available at many locations, so the air pollution monitoring mechanism can be easily set up at any hotspot. Ubidots is one of the smart IoT platforms. Sensor data is displayed in terms of ppm with different levels and different events in IoT device. The detecting of information and deliver it to the Ubidots server through Wi-Fi module is guided by the Arduino Sketch. The Arduino sketch is composed, compiled and supplied to the Arduino board using Arduino IDE.
The Making of Eco-Friendly Manila Paper by Utilizing Nata de Coco as Additional Material
Authors:   Agro industrial Technology Department, Faculty of Agricultural Technology, University of Brawijaya, , Jl. Veteran, Malang, 65141, Indonesia, Febrianto* Arie , Kumalaningsih Sri ,   Agro industrial Technology Department, Faculty of Agricultural Technology, University of Brawijaya, , Jl. Veteran, Malang, 65141, Indonesia., Suparto Raden ,   Agro industrial Technology Department, Faculty of Agricultural Technology, University of Brawijaya, , Jl. Veteran, Malang, 65141, Indonesia
Published: October 2019

HVS paper waste is excessively abundant and thus requires further processing to reduce the waste level and to improve its utilization value. The advanced processing into manila paper will require other additional materials such as nata de coco due to its relatively high cellulose content. Nata de coco also has relatively short production timing, most of its cellulose product is in the form of sheet, and it is also chemical substance free. The best physical quality in the manila paper production is affected by tearing resistance, tensile resistance, and cracking resistance. All these resistances may be obtained by adding adhesive materials such as Pv Ac. The selection of Pv Ac is due to its high adhesive ability, solvability in water and low price. Besides the influence of tensile resistance, cracking resistance and tearing resistance, the production of manila paper is also affected by the precision of material concentration added. Thus, further research is required to identify the appropriate concentration for both additional materials (nata de coco and Pv Ac adhesive). The method used in this research was Group Random Planning consisting of two factors with two replications. Factor I was nata de coco concentration to paper at 4 levels, namely 40%, 50%, 60%, and 70% w/w. Factor II was adhesive concentration to the mixture of nata de coco and pulp of HVS used paper at 3 levels, namely 0%, 2% and 4% w/w. Physical analysis of manila paper used Analysis of Variance or ANOVA, which involved grammage test, tensile resistance test, tearing resistance test, cracking resistance test, thickness test, and water content test. The use of Multiple Attribute method to achieve the best treatment indicated that the results of the best physical quality of the manila paper were obtained from the treatment using 40% nata de coco concentration with 4% Pv Ac adhesive. Manila paper with 40% nata de coco concentration and 4% Pv Ac adhesive may produce grammage rate of 148.76 g/m2, tensile resistance of 17.10 kgf, tearing resistance of 5.56 gf, cracking resistance of 1.11 kPa m2/g, thickness of 0.27 mm, and water content of 3.47%.
PWM Technique for Single Phase Asymmetrical Hybrid Multilevel Inverter for Non-linear and Dynamic loads
Authors:   Member, IEEE, Electrical Engineering Department, NERIST, Nirjuli, A. P., India, Sharma Akhilesh , Pandey Vikas ,   Electrical Engineering Department, B.B.D.University, Lucknow, U.P., India
Published: October 2019

A two level VSI has output voltage either equal to positive or negative source voltage. This inverter has more ripple. In order to reduce the ripple content more number of switches are needed to produce many number of stepped voltage waveform. This improves the quality of power. This switching losses depends on the frequency of operation so when a two level inverter is operated at high frequency, the switching losses are predominant. This limits the use of such inverters. Hence, being replaced by Multilevel inverters. They have attracted academician and industry personal for medium and high-power power control. Such attractive features are available in hybrid multilevel inverter. Hence, these are preferred. They provide multi-level operation by using hybrid sources. Moreover, the number of power electronics components needed are less than conventional CMI for same voltage level. Thus, such inverters have more efficiency. In the proposed techniques, an asymmetrical hybrid multilevel inverter has been simulated using MATLAB Simulink. The results obtained have been presented for three different types of load.
An Intelligent Solar Based Farm Monitoring using Cloud Based Online Access Control Systems
Authors:   Department of EE, Mewar University, Chittorgarh, India., Sharma B* Dr. S S P M , Kumar Mr. Anuj ,   Department of EE, Mewar University, Chittorgarh, India., Meena Mr. Brijesh Kumar ,   Department of Agriculture, Mewar University, Chittorgarh, India.
Published: October 2019

Agronomy is the cornerstone of nation encountering untimely obstacles in the present scenario. Transducer nexus and their deployment in Farm Monitoring is the major utility for the nation. As agriculture is utmost provenance of nourishment, as there is a necessity to lessen the tariff and human interventions by enlarging productivity. This paper deals with advancement of IoT which lessens the endeavors of human by machine to machine interactions (corroborate through cloud based networks).The consumption of solar power by various devices can be monitored with the help of microcontroller interfaced to sensors and transmit the data through Wi-Fi devices which is stored in cloud based system. Process of irrigation is carried out in various methods using transducers which results in the distinguishing of soil moisture and temperature along with humidity conditions and it also authorizes the user to supervise the gadgets from remote locations using cloud computing systems provided with procured login credentials allocates access to know the status of all the installations through Laptop/PC/Mobile/Tablet.[1]
SQL Injection Detection and Prevention Techniques in ASP.NET Web Application
Authors:   Department of Information Systems, University of Nizwa, Nizwa, Sultanate of Oman., Kausar* Mohammad Abu , Nasar Mohammad ,   Department of Computing and Informatics, Mazoon College, Muscat, Sultanate of Oman., Moyaid Aiman ,   Department of Information Systems, University of Nizwa, Nizwa, Sultanate of Oman.
Published: October 2019

Injection in SQL (structure query language) is one of the threats to web-based apps, mobile apps and even desktop applications associated to the database. An effective SQL Injection Attacks (SQLIA) could have severe implications for the victimized organization including economic loss, loss of reputation, enforcement and infringement of regulations. Systems which do not validate the input of the user correctly make them susceptible to SQL injection. SQLIA happens once an attacker can incorporate a sequence of harmful SQL commands into a request by changing back-end database through user information. To use this sort of attacks may readily hack applications and grab the private information by the attacker. In this article we introduce deferential sort of process to safeguard against current SQLIA method and instruments that are used in ASP.NET apps to detect or stop these attacks.
Causal Linkages and Impact of Finance Companies Stock Price on BSE FINANCE and BSE SENSEX
Authors:   Assistant Professor, Department of Business Administration, St. Joseph’s College of Arts and Science (Autonomous),Cuddalore - 607001, India, Baranidharan S. , Dhivya N. ,   Assistant Professor, Department of Management Studies, IFET College of Engineering, Villupuram, India, Alex A. ,   Head of the Department, Department of B.com Bank Management, St. Joseph’s College of Arts and Science (Autonomous),Cuddalore - 607001, India
Published: October 2019

With the intention of strong growth of existing financial services firms and new entities entries in the market, India has a diversified financial sector undergoing rapid expansion. Finance sector act as a backbone of economy by providing a various financial services such as loan, credit or cash to commercial activities or retail customer. This sector comprises of wide range of industries include banking, insurance, real estate firm, cooperatives, mutual funds, etc. The strength of the financial sector indicates health of the economy in the nation in the contrary weakening economy is typically depends of weak financial sector. Thus the potential growth of the financial sector depends mainly on generating revenue through mortgages and loan that gain value as interest rate drop. The present research aims to determine the variability in the price of stocks in the Bombay stock exchange SENSEX and Bombay stock exchange FINANCE on the selected companies of financial sector such as AB CAPITAL LTD, BAJAJ FINSERV LTD, CAPRI GLOBAL CAPITAL LTD, IIFL FINANCE LTD, JSW HOLDINGS LTD and JM FINANCE LTD by extracting the data from the period of 2nd April 2014 to 30 August 2019. The data has been collected through the website such as www.bseindia.com and analysed by using the statistical tools such as Descriptive statistics, Correlation, Regression and Granger Causal test. The research work resulted that there is fluctuation in the stock price in the BSE SENSEX and BSE FINANCE will reflect in the changes in the stock price of Finance companies such as AB CAPITAL LTD, BAJAJ FINSERV LTD, CAPRI GLOBAL CAPITAL LTD, IIFL FINANCE LTD, JSW HOLDINGS LTD and JM FINANCE LTD. The study also found that there is a variation among the changes in the stock prices of BSE FINANCE and SENSEX on selected companies of Finance sector. The study helps the institutional and individual investor to make investment decision making. It also provide an information and persuade them to invest in both long term and short term investment by reducing the uncertainty. This research act as guide line for policy makers to make policies.
Fingerprint Detection Technique using SURF, PHOG & PCA Feature Extraction Process
Authors:   Department of Computer Science, School of computing Sciences, VISTAS, Chennai, India., Balamurugan* Mr. R. , Mythili Mrs. S. ,   Department of Computer Science, School of Computing Sciences, VISTAS, Chennai, India., Perumal Dr. S. ,   Department of Computer Science, School of Computing Sciences, VISTAS, Chennai, India.
Published: October 2019

The biometric way of identifying a person are wildly spared around many industries and organizations. The identification techniques followed for the biometric are mostly common in using fingerprint detection for individual identification. Basically password based security systems are cracked through many techniques, which makes many problem to the organization using password for security purpose. The spoof fingerprint way of identifying a person is becoming very famous in providing security to the users. The research work focuses on proposing a novel approach in merging fingerprint features all together in one static software approach. The features identified from the fingerprints are extracted using histogram equations in initial step of fingerprint security system. The Gabor wavelet transformation techniques is one of the images processing technique used for identifying features. The features are maintained carefully with applying dynamic score level integration. The efficiency of proposed work is checked with LivDet 2011 dataset. The rate of classification shows 9.625% and error rate is 2.27%.
Development of a Machine Learning model for knowledge acquisition, relationship extraction and discovery in Domain Ontology Engineering
Authors:   Department of Computer Science, Jain University, Karnataka, India, Guruvayur* Sivaramakrishnan R , Suchithra R. ,   Department of Computer Science, Jain University, Karnataka, India,
Published: October 2019

Creating a fast domain independent ontology through knowledge acquisition is a key problem to be addressed in the domain of knowledge engineering. Updating and validation is impossible without the intervention of domain experts, which is an expensive and tedious process. Thereby, an automatic system to model the ontology has become essential. This manuscript presents a machine learning model based on heterogeneous data from multiple domains including agriculture, health care, food and banking, etc. The proposed model creates a complete domain independent process that helps in populating the ontology automatically by extracting the text from multiple sources by applying natural language processing and various techniques of data extraction. The ontology instances are classified based on the domain. A Jaccord Relationship extraction process and the Neural Network Approval for Automated Theory is used for retrieval of data, automated indexing, mapping and knowledge discovery and rule generation. The results and solutions show the proposed model can automatically and efficiently construct automated Ontology.
Exploratory Learning of Resource Management in Private Cloud Environment
Authors:   Department of Computer Science and Engineering, Nirma University,Ahmedabad ,India., Chudasama* Vipul , Bhavsar Dr. Madhuri ,   Department of Computer Science and Engineering, Nirma University,Ahmedabad ,India.
Published: October 2019

Paper: Scientific and Web applications are major sources of Internet traffic that requires resources such as Memory ,CPU and Network are on demand. Cloud computing and virtualization are the boons for such resource demand applications from various users. Service models of cloud computing provide a platform for many applications to use resources as pay per use model. In Cloud, Auto-scaling with manage Service Level Agreement (SLA) of resources is one of the main challenges to meet the current demand for resources. To maintain the performance of the cloud, which provision resources based on a heuristic for workload prediction is prime importance. In this paper, we address auto-scaling as a problem to forecast near-future demand of resource using a KNN machine learning methods suggest the optimized model for the dynamic variation of CPU utilization.
Intelligent Transportation System by Controlling Traffic using Video Processing in Mat Lab
Authors:   Assistant Professor (G-II)/ ECE, Aarupadaiveedu Institute of Technology,Kanchipuram, Tamilnadu, India., J* Vijay. , K Akshaykumar. ,   Students, Third Year- ECE, JeppiaarMaamallan Engineering College, Kanchipuram, Tamilnadu, India, K Jeevarathinam. ,   Students, Third Year- ECE, Jeppiaar Maamallan Engineering College, Kanchipuram, Tamilnadu, India, D Sriram. ,   Students, Third Year- ECE, JeppiaarMaamallan Engineering College, Kanchipuram, Tamilnadu, India, K Anand. ,   Student, Third Year- EEE, JeppiaarMaamallan Engineering College, Kanchipuram, Tamilnadu, India.
Published: October 2019

Laptop vision techniques square measure used for analysis of traffic police investigation videos that is gaining a lot of importance. This analysis of videos is helpful for public safety and for traffic management. In recent time, there has been Associate in nursing exaggerated scope for analysis of traffic activity mechanically. Laptop based mostly police investigation algorithms and systems square measure won’t to extract info from the videos that is additionally known as as Video analytics. The method of distinguishing instances of planet objects is understood as object detection. It detects the quantity of vehicles on every road and betting on the vehicles load on every road, this technique assigns optimized quantity of waiting time (red signal light) and period (green signal light). This technique could be a totally machine-driven system that may replace the traditional pre-determined fixed-time based mostly traffic system with a dynamically managed traffic system.
Computational Smart Grid and DAM Queue
Authors:   School of Engineering and Technology, Al Dar University College, Dubai., Srivastava* Riktesh
Published: October 2019

The layout of the Smart Computational Grid is an integral part of our information services infrastructure. In this paper, an anticipation of the architectural model of Smart Computational Grid is derived, which provides petabytes storage, tera-byte processing speed, and Gigabyte data transmission, where many supercomputers forms node with parallel data transmission. Impulsive demands posed by unexpected flows of data from users for complex computations, however, is exceedingly challenging. The paper specifies the design and implementation of a Dynamic Allocation of Memory (DAM) algorithm. DAM algorithm identifies the design of memory at supercomputing node, for ergodic functioning and for ensuring that no data overflow, using the methodology of queuing theory. The overall performance of the DAM algorithm is shown using MM1 and GG1 queue models and results are compared accordingly.
IoT Based Solid Waste Management System using Arduino Mega
Authors:   Electronics and Telecommunication, AISSMS Institute of Information Technology, Pune, Maharshtra,India., Satkar* Aarti Sudam , Sardey Mohini P. ,   Electronic and Telecommunication, AISSMS Institute of Information Technology, Pune, Maharashtra, India.
Published: October 2019

Solid waste management is one of the major concerns now a day and they are very harmful to environment. The Municipal Corporation places the common dustbin at various places in the city which are flooded with waste, which leads to unhygienic conditions in the areas which they are place and causes discomfort to the Citizens. We here propose an IoT Based system to overcome this problem. The Propose system consists of Arduino Controller, few garbage loaded sensors, gases sensor and they are continuously monitored through web page This sensors will be embedded throughout the dustbin to check the level of the dustbin, the device will monitor the real time data and continuously show real time value on LCD display.