bluuebunny/crossref_metadata_2025 huggingface dataset:
A Structural Equation Modeling on Analysis of Preference Advertisement in Building Brand Equity
Authors:   Assistant Professor, UIM, Uttaranchal University, Dehradun, India., Panwar* Dr. Diksha , Bangari Dr. Monika ,   Assistant Professor, Tulas Institute, Dehradun, India., Thakur Dr. Sandeep Kumar ,   Assistant Professor, Law College Dehradun, Uttaranchal University, Dehradun, India.
Published: November 2019

Preference advertisement is a promotional system in which marketer claims the superiority of their product or brand over competing product(s) or brand, directly or indirectly. Preference advertisement helps in comparing alternative brands on bases of features, price, and other distinctive information. Brand equity is the total worth of the brand. Brand equity can be measured in two different perspective i.e. cognitive psychology is the attribute perception that is related to the awareness regarding the brand features and associations whereas another information economics is associated towards strong brand name which is created through the quality of the product and good quality generates a premium prices for the brand. In the monetary terms it’s the value that the organization expects from the brand. Preference advertisement can either be transferred directly to the brand. The objective of this study is to analyze the impact of preference advertisement in building the brand equity. Therefore to achieve the objective, different analysis tools used in the study are: mean, confirmatory factor analysis and structural equation modeling technique. The finding shows that preference advertisement has a significantly positive impact on building the brand equity.
Auxillary Safety Locking System of Vehicle Doors using Arduino
Authors:   Assistant Professor, Sri Sairam Engineering College, Chennai, Tamilnadu, India, Rajan* P. Vijaya , Babu T. ,   Assistant Professor, Sri Sairam Engineering College, Chennai, Tamilnadu, India, Pandiyan G.Karthik ,   Assistant Professor, Sri Vidya College of Engineering and Technology, Virudhunagar, Tamilnadu, India., Venkatragavan D. ,   UG Scholar, Mechanical Department, Sri Sairam Engineering College, Chennai, Tamilnadu, India., Shanmugam R. ,   Sri Sairam Engineering College, Chennai, Tamilnadu, India.
Published: November 2019

The main aim of the project is to prevent the Dooring accidents and to provide safety for the passengers and pedestrians. We are eliminating this problem by the use of Auxiliary Safety locking system connected to each door of the vehicle using Arduino. To prevent accident due to passenger’s carelessness, the upcoming vehicle is sensed using an ultrasonic sensor and the doors of the vehicle are locked automatically. Due to this, the passengers can’t open their car door from inside while the vehicle is moving towards the car. After the vehicle is passed, the doors are unlocked.
Estimation of Reduced Stiffness under the Influence of Crack in a Beam
Authors:   Department of Mechanical Engineering, NRI Institute of Technology, Agiripalli, India., Prasad G. Durga , Manoj V. Mohan ,   Department of Mechanical Engineering, NRI Institute of Technology, Agiripalli, India., Babu* K. Ravi Prakash ,   Department of Mechanical Engineering, Prasad V Potluri Siddhartha Institute of Technology, Kanuru, India., Kumar B. Raghu ,   Department of Mechanical Engineering, Prasad V Potluri Siddhartha Institute of Technology, Kanuru, India.
Published: November 2019

Machine components with cantilever boundary conditions are most prominently used in mechanical engineering applications. When such components are subjected to fatigue loading, crack may get initiated and failure may occur. In order to prevent catastrophic failure and safe guard these components one has to condition monitor the dynamic behavior under fatigue loading condition. Vibration based condition monitoring is one of the most effective method to assess the fatigue failure of the component. In this paper, a cantilever beam is analyzed for its dynamic behaviour under the influence of crack. The cantilever beam considered for the analysis is of rectangular cross section and is uniform throughout its length. The characteristic equation was derived for the Euler-Bernoulli cantilever beam to obtain the relationship between the location of the crack and stiffness of the beam because the stiffness of the beam influences the natural frequency. It is found that the stiffness of the cantilever beam is varying for varying locations of the crack in different modes of vibration. It is clearly understood from the analysis that the vibration response of the cracked cantilever beam in its modes of vibration is affected by the corresponding stiffness reduction based upon the location of the crack. So, it can be inferred that the natural frequency of the cracked cantilever beam may have different values for different locations of the crack.
Effect of Fe Substitution on the Structural, Electrical and Dielectric Properties of La0.70Ca0.30MnO3 Cathode for SOFCs
Authors:   Research Scholar, Dept. of Applied Physics, I.K.Gujral Punjab Technical University, Kapurthala, Punjab, India., Paul* Surinder , Manokamna  ,   Research Scholar, Dept. of Applied Chemistry ,I.K.Gujral, Punjab Technical University, Kapurthala , Punjab, India., Kaur Shubhpreet ,   Physics Department, Guru Nanak Dev University, Amritsar, Punjab, India., Malhi Er.P.S. ,   Department of Chemistry, Guru Nanak Dev University, Amritsar, Punjab, India., Singh Dr. Anupinder ,   Asstt. Prof., Department of Physics, Guru Nanak Dev University, Amritsar, Punjab, India., Sharma Dr. Arvind ,   Associate Professor, Beant College of Engineering & Technology, Gurdaspur, Punjab, India.
Published: November 2019

Perovskite solid solutions (La0.70Ca0.30)(FexMn1-x)O3 where x = 0.01, 0.20, 0.30 and 0.40 ceramics were synthesized by solid state reaction route. The structural studies were carried by X-Ray diffraction method and the observed results have indicated that all the prepared samples were crystallized into single phase. The surface morphology was studied by Scanning Electron Microscopy and the images have revealed that grain size has increased with the increasing concentration of Fe. Archimedes principle was used to calculate the density of all the sintered samples and the density values were observed to be in increasing order. The impedance and dielectric properties have been characterized at different ranges of temperature and frequency. The value of electrical conductivity were found to be more than 100 S cm-1, which indicate that the synthesized material is suitable material for cathode of Solid Oxide Fuel Cell.
Hybrid Mode of Medical Image Watermarking To Enhance Robustness and Imperceptibility
Authors:   Research Scholar, Electronics Engineering, Banasthali Vidyapith, Tonk, and Assistant Professor, School of Electrical Engineering, MIT Academy of Engineering, Pune, India., Verma* Usha , Sharma Dr. Neelam ,   Associate Professor, Department of Computer Science, Banasthali Vidyapith, Tonk, India.
Published: November 2019

In Modern healthcare systems, diagnostic information of patients is managed digitally. Watermarking strategies plays a significant role to ensure the security, authenticity and management of biomedical images and related patient information. This paper explores different invisible Digital watermarking methods both in spatial and transform / frequency domain and then Hybrid method by combining two techniques to justify better results for medical images. Here, host image considered is a medical image and patient’s information is a watermark which is embedded into it. The embedded watermark is hidden in medical host image and its quality should not be degraded to avoid misdiagnosis by doctors. In this paper, LSB, SVD, DCT, DWT and Hybrid techniques (DWT+SVD) are implemented for embedding and extraction process of invisible medical image watermarking. The performance is evaluated based on PSNR as a measure of imperceptibility and CRC & SSIM as a check of robustness. The attacks introduced are cropping, rotating, and noise like Gaussian, Salt & Paper, Speckle and Poisson. Results reveal that DWT provides higher PSNR values but it is robust for few attacks only. On the other side, SVD provides consistent SSIM for all attacks, although PSNR values are less than that of DWT. Hence a hybrid technique is implemented by incorporating benefits of DWT and SVD both and achieved optimal values of PSNR as well as SSIM to provide better security to medical images by preserving the quality as well.
371 Published By: Blue Eyes Intelligence Engineering & Sciences Publication Retrieval Number: A4137119119/2019©BEIESP DOI: 10.35940/ijitee.A4137.119119 Journal Website: www.ijitee.org IoT Implementation in Manufacturing using Data Analysis and Data Managemnt
Authors:   Computer Science and Engineering, SRM Institute of Science and Technology, Ramapuram Campus, Chennai, India., Aggarwal* Gaurav , Chaukse Harshal ,   Computer Science and Engineering, SRM Institute of Science and Technology, Ramapuram Campus, Chennai, India., Sualeh Ali ,   Computer Science and Engineering, SRM Institute of Science and Technology, Ramapuram Campus, Chennai, India.
Published: November 2019

Since The Mechanical Miracle Happened In Light Of The Fact That Most Of The Calculations And Estimations Of The Segments Required For The Collecting And Limit Of A Particular Thing Has Been Done Physically But At This Point This Example Has Changed With The Introduction Of Iot Devices In Organizations. These Gadgets Impart And Share Information With One Another Over Web To Make The Way Toward Assembling Less Confounds And Efficient. For Instance, A Sensor Has Been Appended To The Machine Which Estimates The Measure Of Vibrations Which Are Delivered While The Machine Is Working. This information is then moved to a server over WLAN which can be viewed to or by any individual who is working in the organization and after that be examinations to know the state of the said machine. Along the lines any meltdown or breakage in system or in process that can occur because of unseemly use of the machine can be avoided. This information can be seen by individuals who work for the organization, who has a login id and secret key and has a gadget with a working web association as this information is visible or displayed on a site that can be gotten to on any gadget utilizing any working framework. The server that stores the information is kept running on MS Windows and the webpage from which the information can be gotten to is made utilizing different web improvement dialects.
Mobile Based Multi-Factor Authentication Algorithm for Secure Online Transaction
Authors:   School of Computer Science, University of Petroleum and Energy Studies. Dehradun, India, Bhardwaj* Ved Prakash , Chauhan Piyush ,   School of Computer Science, University of Petroleum and Energy Studies, Dehradun, India,, Nitin  ,   Indian Institute of Management, Shillong, India,
Published: November 2019

In today’s world, online payment system is one of the essential requirements of people. Security in online transactions is still a major challenge for the researchers. This work is emphasizing on providing highly secure environment for online transactions to user. One time password is one of the mechanisms to reduce online fraud, still many cases of fake transactions are happening frequently. It requires more attention to establish the faith in E-banking services. The present research article is proposing a multi-factor based secure algorithm which enhances the security for the online transaction services. To increase the authenticity, the proposed algorithm is working on two strategies: a) One Time Password Based Authentication and b) Dedicated Hardware Based Authentication.
Agribusiness Activity at Islamic Boarding School Al Ittifaq Ciwidey-Bandung using Interactive Models
Authors:   Animal Husbandry Program Study, Department of Animal Husbandry Education and Welfare, Polbangtan Malang, East Java, Indonesia., Rustandi* Yudi , Handayani Setya ,   Animal Husbandry Program Study, Department of Animal Husbandry Education and Welfare, Polbangtan Malang, East Java, Indonesia, Listiana Indah ,   Agribusiness Department, Faculty of Agriculture, University of Lampung, Bandar Lampung, 35145, Indonesia., Ariyanto Dafit ,   Faculty of Agriculture, Kisaran, Sumatera Utara, Indonesia,
Published: November 2019

Islamic boarding school is one of the islamic educational institutions that grow fastly with diversity method in Indonesia This study is aimed to describe the effort to grow young entrepreneur at Islamic Boarding School al Ittifaq Ciwidey Bandung through agribusiness activity with a focus on student empowerment. The study was done at Al-Ittifaq Ciwidey Bandung by applying qualitative research approach. Informants were selected by means of purposive sampling and snowball sampling which were further classified into three groups (triangulation). Furthermore, data collection technic was conducted through in-depth interview, direct observation, documentation, and FGD (Focus Group Discussion). Data analysis technic was performed using interactive model. Regarding the effort to grow young entrepreneurs, result of the study shows that student at al Ittifaq Ciwidey Bandung involve in agribusiness activities such as: (1) the formation of Executive Board of Agribusiness Unit, (2) conducting technical practices directly in the field, (3) establishing Agribusiness Incubation Center (PIA), (4) establishing cooperation/partnership with various institutions, and (5) setting up agribusiness groups of students.
Kiiling Media Piracy by using Artificial
Authors:   Department of Computer Science and Department SRM Institute of Science and Technology, Chennai, India., Vidhyavani* A. , Sumanth P.V. ,   Department of Computer Science and Department SRM Institute of Science and Technology, Chennai, India., Surendra U. ,   Department of Computer Science and Department SRM Institute of Science and Technology, Chennai, India., Chakradhar V. ,   Department of Computer Science and Department SRM Institute of Science and Technology, Chennai, India.
Published: November 2019

Now a day’s Artificial intelligence is very important. To eradicate the media piracy on the internet we are going to implement the technique called the page replacement algorithm by using the artificial intelligence. Detecting and stopping by manually it is not possible to remove manually. The page replacement algorithm will help to detect the media piracy on the internet. Internet means that any of the social media platforms like gmail ,youtube,drives etc. By using this page replacement algorithm we are going to achieve. This algorithm will helps to detect it will divide into the number of frames each page has the several frames .Each frame in the page get scanned by the page replacement algorithm . Based on this technique replaces the page that used for the long period of time. This page replacement algorithm has to work very fastlly and consumes the less memory. This technology has controlled by the any government companies. The government has specified companies to detect such piracy. The LRU technique maintains the backward of the page. This LRU helps within seconds to detect the piracy on the internet.
Automated Fluid Transfuser
Authors:   Professor & Head of Dept., Computer Science and Engineering, Sreenidhi Institute of Science and Technology, Hyderabad, India., Varanasi* Dr. Aruna , Madduri SSK Teja ,   Student, Department of Computer Science and Engineering, Sreenidhi Institute of Science and Technology, Hyderabad, India., Malka Alekya ,   Student, Department of Computer Science and Engineering, Sreenidhi Institute of Science and Technology, Hyderabad, India., Chepuri Vineeth ,   Student, Department of Computer Science and Engineering, Sreenidhi Institute of Science and Technology, Hyderabad, India
Published: November 2019

In hospitals, Saline/Fluids is/are injected into the patient’s body to treat dehydration/diseases in order to improve their health. Monitoring the fluid level and regulating its flow manually has always been a typical problem as it involves much attention by nurse constantly. Any kind of negligence or preoccupied states might invoke a possibility of backflow of blood (and swelling) from the concerned patient. Also blood transfusion using traditional method has a drawback regarding the accuracy in transfusing blood from one patient’s body to another. Considering all these affordable health monitoring systems should be made available to every hospital in the days to come. AUTOMATED FLUID TRANSFUSER deals with these problems. This will accurately assimilate the advised portion of saline/fluid/blood into the patient’s body. It alerts the nurse by sending notifications regarding the status of fluid level and in parallel regulates the flow, thereby averting the chance of backflow of blood and reducing the swelling. Automated fluid transfuser can be used in hospitals and homes for the bed ridden patients. It is not complex in operating to nurse or guardians.
Simple Screening Method of Maize Disease using Machine Learning
Authors:   Department of Electrical and Electronic Engineering, Universiti Malaysia Sarawak (UNIMAS), Jln Datuk Mohd Musa, 94300 Kota Samarahan, Sarawak, Malaysia., Entuni* Chyntia Jaby ak , Zulcaffle Tengku Mohd Afendi ,   Department of Electrical and Electronic Engineering, Universiti Malaysia Sarawak (UNIMAS), Jln Datuk Mohd Musa, 94300 Kota Samarahan, Sarawak, Malaysia.
Published: November 2019

Plant leaf diseases are significant issue in agriculture field. Some of the common plant leaf diseases are powdery mildew, dark spot and rust. They are a noteworthy wellspring of an immense number of dollar worth of setbacks to farmers on a yearly premise. Plant breeders frequently need to screen countless number of plant leaves to find the stage of diseases of their crops to perform an early treatments. Therefore, a robust method for field screening is needed in order to spare the farmers and the environment as well. Inappropriate used of treatments such as impulsive pesticides can imperil the environment. Hence, this paper present a simple and efficient machine learning method which is Fuzzy C-Means algorithm to screen leaf disease severity in maize. Fuzzy C-Means is a new algorithm and very efficient to be used in object detection. Therefore, it is applicable to detect disease spot in plant leaf and measure the diseases severity. This field screening method help the farmer to identify the progression of the diseases in their crops quicker and easier than the other field screening techniques.
Modified Design of Savonius Wind Turbine Blade for Performance Improvement
Authors:   Laboratory of Renewable Energies and Environment (LR2E), Faculty of Science, Ibn Tofail University, B.P 133-14000 Kenitra, Morocco., Zemamou* M. , Toumi A. ,   Laboratoire d’Ingénierie, Management Industriel et Innovation, University Hassan 1er Settat, Morocco., Mrigua K. ,   Laboratory of Renewable Energies and Environment (LR2E), Faculty of Science, Ibn Tofail University, B.P 133-14000 Kenitra, Morocco., Aggour M. ,   Laboratory of Renewable Energies and Environment (LR2E), Faculty of Science, Ibn Tofail University, B.P 133-14000 Kenitra, Morocco.
Published: November 2019

In the context of worldwide energetic transition, wind energy shows up as one of the most prominent renewable energy to provide an alternative for the conventional energy source. Therefore, new technologies of a wind turbine are developed, horizontal axis wind turbines have been extensively investigated and evolved. However, the development of vertical axis wind turbines is still an open and area of research, The main objective is to develop a more efficient type of wind turbines able to operate at low wind speeds to take hold maximum wind potential, The Savonius rotor goes with such conditions, however, it faces critical drawbacks, in particular, the low performance in comparison with horizontal axis wind turbines, as well, the blade in return of savonius wind turbine generates a negative torque leading to a decrement of turbine performance. The present work aims to investigate a modified model of the conventional Savonius rotors with a focus on improving the coefficient of power, transient computational fluid dynamics (CFD) simulations are carried out in an effort to perform a validation of numerical results according to experimental data, also to conduct a comparative analysis of both savonius models.
Issues and Considerations for Effective Text Data Retrieval
Authors:   Faculty of Operations & IT ICFAI Business School (IBS), Hyderabad, India., Saravanan* D.
Published: November 2019

Text data retrieval is one of the major domain for extracting knowledge from the stored data sets. Within the text information, the text meaningful numerical codes extracted unstructured process information is to make the free text associated with the unstructured nature of data mining in a different stream. Number of procedure is constructed to Performing this operations most effectively. This paper focuses one of the text retrieval process, experimental results verified proposed methods works well with most of the documents.
Three-Dimensional Healthcare Model for Effective Decision Making
Authors:   Research Scholar, Amity Institute of Information Technology, Amity University Uttar Pradesh, Lucknow, India, Sharma* Narendra Kumar , Fatima Dr. Shahnaz ,   Amity Institute of Information Technology, Amity University Uttar Pradesh, Lucknow, India, Saxena Dr. Swati ,   Dept. of Computer Application, Maharana Pratap Engineering College, Kanpur, Uttar Pradesh, India
Published: November 2019

Healthcare is the right of every human being but shortage of medical professional, healthcare institutions and use of modern information technology, it is not possible to provide high-quality healthcare services to facilitate them. In the developing country like India greater part of peoples are living in rural areas and face principal disaster due to insufficiency of ideal healthcare institutions as well as medical professionals. The rural clinical health centre might also have medicines to grant first aid, but may not have the expertise. People of India in rural areas have to journey long distances to access suitable healthcare which can be the difference between life and death in the case of emergency. It shows that the immense gap between doctor and patient or people and health care system. We attempt to fulfill that gap and proposed a healthcare model to improve healthcare quality and take effective decisions. The proposed healthcare model will capable to take effective decisions for health related issues specially for people of rural India.
Water Hazard Prediction using Machine Learning
Authors:   Perusing Computer Science and Engineering in SRM Institute of Science And Technology located in Chennai, Tamil Nadu, India., Dakshin* D. , Rupesh V. R. ,   Perusing Computer Science and Engineering in SRM Institute Of Science And Technology located in Chennai, Tamil Nadu, India., Kumar S. Praveen ,   Perusing, Computer Science and Engineering in SRM Institute Of Science And Technology located in Chennai, Tamil Nadu, India.
Published: November 2019

Water is the most essential need of all life forms. This essential need can also create hazards to us which comes in the form of water hazards (flood and drought). Catastrophic events, for example, flood is respected to be brought about by outrageous climate conditions just as changes in worldwide and territorial atmosphere. If precautions are not taken beforehand it becomes more and more difficult to control when it occurs. This study aimed to forecast both flood and drought using Machine Learning (ML). So as to have a clear and precise forecast of flood and drought hazard is fundamental to play out a specific and multivariate analysis among the various kinds of data sets. Multi variate Analysis means that all measurable strategies will concurrently analyses manifold variables. Among multi variate investigation, ML will give expanding levels of exactness, accuracy, and productivity by finding designs in enormous and variegated data sets. Basically, ML methods naturally acquires proficiency data from dataset. This is finished by the way toward learning, by which the calculation can sum up past the models given via preparing information in info. AI is intriguing for forecasts since it adjusts the goal methodologies to the highlights of the data set. This uniqueness can be utilized to foresee outrageous from high factor information, as on account of the risks. This paper proposes systems and contextual analysis on the application on ML calculations on water hazard occurrence forecast. Especially the examination will concentrate on the utilization of Support Vector Machines and Artificial Neural Networks on a multivariate arrangement of information identified with water level of lakes in and around Chennai and measurement of rainfall in the lakes.
Monitoring: Predictions of the Effectiveness of Educational Processes in Higher Educational Institutions
Authors:   head of the Department of Pedagogy and psychology, National University of Uzbekistan named after Mirzo Ulugbek, Tashkent, Uzbekistan., Davlatmirzayevich* Dr. Askarov Abror
Published: November 2019

In the period of globalization new requirements of the level of teachers’ preparation for their pedagogical career have significantly increased. Consequently, it demands higher educational institutions the necessity to draw special attention to enhance the efficiency of educational processes in preparing future teachers. In this article, the mechanism of implementation monitoring processes on improvement of the system of preparation teachers for pedagogical career in the high educational institutions has revealed. In this monitoring the distributional parameters of the corresponding processes according to the direction has taken into consideration and provided prognoses of them on the basis of interrelation and impact between indicators. On this purpose, the algorithmic model of interrelations between indicators of argumentative, procedural and productive directions of a process has developed. This model gives the chance to obtain the predicted information on educational process based on certain evidence, to define necessary organizational and pedagogical measures by comparison with the expected results, corrections, specifications and modernizations of teaching and learning processes.
Subdued Intensity Variation of Graphite Peaks and Variation of Raman Shift in the Synthesis and Characterization of Carbon Nanotubes
Authors:   Assistant Professor, Department of Physics, Sri Krishna College of Engineering and Technology, Coimbatore, Tamil Nadu, India., Priyadharsini* R. , Senjudarvannan R. ,   Professor, Department of Physics, Jansons Institute of Technology, Coimbatore, Tamil Nadu, India.
Published: November 2019

Carbon Nanotube (CNT) is a new form of carbon, have aroused huge interest in the research community because of their interesting electronic structure. The CNTs are possibly handy in an extensive variety of solicitations. They unveil phenomenal asset, strange electrical properties and efficient heat conductors. Currently Chemical Vapour Deposition (CVD) has been widely used for the preparing carbon nanotubes because of its simplicity, high throughput and low running cost. It is also easy to control the growth parameters compared to other methods. In the present work methane is used as the source of carbon and ferric nitrate is used as a catalyst. Also, zeolites are used as absorbents and support for catalysts. The growth is carried out in a tubular furnace. The surface morphology, vibrational and structural properties were studied by using FESEM, laser Raman. FESEM micrograph shows the growth of carbon nanotube with different shapes. The length of the tube is ~1.08μm while its diameter is ~70nm. Raman spectra shows the absence of radial breathing mode (RBM) at lower Raman shift and the D and G- band evidence the presence of multi walled carbon nanotubes. XRD pattern reveals that, the intensity of graphite peaks are very subdued because the presence of higher content of zeolite.TGA curve shows, the as grown CNT has a weight gain due to oxidation or oxygen pickup by zeolite. Carbon nanotubes is an advance developing field in research. Carbon nanotubes are the strongest and stiffest materials in terms of tensile strength and elastic modulus. The present work focuses on the growth of Carbon nanotubes using chemical vapour deposition. Although there are many methods, the chemical vapour deposition is chosen because of its simplicity, high throughput and low running cost. Also it is very easy to control the growth parameters compared to other methods. . Carbon nanotubes has a wide application range in the field of Gas sensors, medical science for drug delivery system, field emission, energy storage and solar cells.
A Developed Framework for Energy Technology Sustainability Assessment
Authors:   Department of Mechanical Engineering, University of Zakho, Zakho, Kurdistan Region - Iraq., Neamat* Sevar
Published: November 2019

Technology assessment has reformed in nature over the last four decades from an analytical tool for technology evaluation, which relies extensively on quantitative and qualitative modelling methods to strategic plan tool for policy creation regarding satisfactory new technologies, that based on participative policy problematic investigation. The aim of assessing technology today is to make policy choices for solutions to organizational and social problems. which, at the workable level, use innovative technologies which considered publicly acceptable, that is, practical policy decisions. This paper concentrates on the progressing of a framework that joins a technology valuation method, namely, system dynamics, inside the larger opportunity of technology growth for sustainability. The framework, called system method to technology sustainability assessment (SATSA), joining three main fundamentals: technology progress, sustainable progress, and dynamic systems method. The article after that determines the framework of integrating the system dynamics procedure in energy technology assessment philosophy and exercise inside the framework of sustainable growth. The framework offers for technology sustainability assessment, which can direct the upgrade of sustainable energy technologies at a policy class. Additionally, it can support the technology inventors to understand the possible effects of technology, therefore allowing them to decrease technology transmission hazards.
Behaviour of Fiber Reinforced Geopolymer Concrete
Authors:   Dept. of Civil Engg, GNDEC Bidar, Karnataka, India, Kumar* Manoj , Patil Suresh .G. ,   Dept. of Civil Engg, PDACE Kalburgi, Karnataka, India
Published: November 2019

This paper presents the behavior of geopolymer concrete with small and big fibers. The aluminosilicate materials used for geopolymer concrete are fly ash and GGBS. For this study standard cube, cylinder and beam specimens are casted and tested to investigate compressive, split tensile and flexural strengths. The experimental results shows that incorporation of steel fibers for the geopolymer mixes improve the strength properties. Few models are generated to estimate the strengths with alliance of cube compressive strength.
Secure Data Performance Analysis with OLSR and AODV Routing Protocols in MANET
Authors:   Assistant Professor, Department of CSE, Dr. M.G.R. Educational and Research Institute, Chennai, India., Kalilulah* Dr. S. Ismail , Rabi Dr. B. Justus ,   Department of Electrical and Electronics Engineering, M. S. University, Tamil Nadu, India., V Ms. Vidhya ,   Assistant Professor, Dr. M.G.R. Educational and Research Institute, Chennai, India.
Published: November 2019

MANETs are vigorous network to obligate node links due to the wireless frequency affect the network performance. It evaluates the link constancy by redefining the link availability that connected throughout a specific time period. MANETs have an identical status to acquaintance by the node resources with any other network. In this work, network is able to deal with vital reform that competent, consistent, and accessible network to perform enhance network protocol along with data security. AODV network nodes need connections broadcast forward the message that requested a connection that create a series of impermanent routes back to the requesting node. In this work, a link state protocol is calculated an alternative and fragmented path from source to destination by re-routing traffic through it, regardless of the locations of failure and the number of failed links. Also, the purpose of this research work is to provide secure bit data networking and occupy bit-memory address to enhance the node data capacity size, hence it reduces packets loss, delay time, and improve throughput when re-join the nodes while failure. OLSR generate a control overhead to maintain routing table to consume data traffic bandwidth. This study reduces the control overhead to improve the performance of OLSR by optimizing control messages intervals to have enhanced and secure data transmission. In this work, a secure and reliable bit-data is presented which have a memory address search process between two data address as simulated in this work.
Leaving Habitat of Wild Animals in Gir National Park : a Critical Scenario and a Possible Solution
Authors:   Assistant Professor, FCAIT, GLS University., Suthar* Nirav J. , Bhavsar Dr. Ankit R. ,   Assistant Professor, FCAIT, GLS University.
Published: November 2019

Wild animals are the ecosystem's main link. Wildlife is important to humans because it maintains a balance between the active environment and biotic factors. It plays an important role in making the various natural processes of nature stable. The tradition of protecting wildlife species and their ecosystems is wildlife conservation. In India the Asiatic lion is the wild animals species which has lowest population in the world. The government established Gir National Park to protect the Asiatic lion and start various programs through in which the population of Asiatic lion should increase. Even other such programs this wild animals faces lots of problem in the national park. This paper addresses the wild animals in India relevant issues and concerns. After the problems we have found, we have suggested a potential solution to these problems. The system uses the Wireless Sensor Network (WSN) platform. This shows how WSN can be seamlessly integrated into the wildlife habitats / national park located in India to enhance the wildlife design.
Renewable Energy: Dynamic Modelling of a Wind Turbine
Authors:   Department of Mechanical Engineering, Papua New Guinea University of Technology, Lae, Papua New Guinea., Oyekola* Peter , Mohamed Aezeden ,   Department of Mechanical Engineering, Papua New Guinea University of Technology, Lae, Papua New Guinea., Pumwa John ,   Department of Mechanical Engineering, Papua New Guinea University of Technology, Lae, Papua New Guinea.
Published: November 2019

Recently, much attention has shifted to a renewable source of energy, as depletion of existing source hovers significantly. The wind turbine has become one of the preferred alternatives of power generation as it poses less risk as well as its economic and environmental benefits, which has prompted renewed effort in designing the optimum system. This work details the operation of a horizontal axis wind turbine along with the complexities of various parts, for example, streamlined transformation, drive train, and generator representation. Additionally, the conditions portraying its dynamic conduct were successfully simulated using MATLAB/SIMULINK, which is necessary to understand its behaviour over specific regions of operations, which differs significantly. The result of this modelling helps in the development of a comprehensive controlling algorithm to aid the performance of the system. This project, therefore, entails the design of a suitable wind energy conversion framework used as an independent, stand-alone energy generator for remote communities in Nigeria. The result of this modelling will be useful in designing better-performing turbines at a reduced cost to ensure economic viability.
Hand Gesture Recognition using Convexity Defect
Authors:   Assistant Professor (O.G.), Department of Computer Science and Engineering, SRM Institute of Science and Technology, Chennai, India., Fiorenza* Ms. Caroline El , Prajapati Mr. Ankit ,   Department of Computer Science and Engineering, SRM Institute of Science and Technology, Chennai , India., Barik Mr. Sandeep Kumar ,   Department of Computer Science and Engineering, SRM Institute of Science and Technology, Chennai , India., Mahesh Mr. Sagar ,   Department of Computer Science and Engineering, SRM Institute of Science and Technology, Chennai, India.
Published: November 2019

Gestures are the simplest way of conveying a message, rather simpler than verbal means. It is the most primitive way of conversation. Gestures can also be the easiest and intuitive way of communicating with a computer, they can be used to communicate or convey information to computers, robots, smart appliances and many other pieces of machinery. It can eliminate the use of mouse and keyboard to some extent. The gestures cited are basically the variable positions as well as orientations of the hand. They can be detected by a simple webcam attached to the computer. The image is first changed into its corresponding RGB values and then to HSV values for better handling and feature recognition. The hand is segregated from the background using feature extraction. Then the values are matched in proximity of the coded values. Then the region of interest is calculated using the concept of convexity and background subtraction. The convex defect helps to define the contour efficiently. This method is invariant for different positions or direction of the gesture. It is able to detect the number of fingers individually and efficiently.
Optimization of Power system with Automatic Voltage Regulator using Soft Computing Techniques
Authors:   Assistant Professor, Department of EEE, Gnanamani College of Engineering, Namakkal, Tamilnadu, India., Supriya* Mrs. P. T. , Prakash Dr. R. ,   Professor, Department of EEE, Muthayammal Engineering College, Rasipuram, Tamilnadu, India.
Published: November 2019

In an interconnected power system, if a load demand changes randomly, both frequency and tie line power varies. The main aim of automatic voltage controller is to minimize the transient variations in these variables and also to make sure that their steady state errors is zero. Many modern control techniques are used to implement a reliable controller. The objective of these control techniques is to produce and deliver power reliably by maintaining voltage within permissible range. When real power changes, system frequency gets affected while reactive power is dependent on variation in voltage value. That’s why real and reactive power is controlled separately. Our objective is here for to study and analyze the Genetic algorithms and their application to the problems of Function Optimization and System Identification. Since there are other methods traditionally adopted to obtain the optimum value of a function (which are usually derivative based), the project aims at establishing the superiority of Genetic Algorithms in optimizing complex, multivariable and multimodal function. The Genetic Algorithm is a popular optimization technique which is bio-inspired and is based on the concepts of natural genetics and natural selection theories proposed by Charles Darwin.
Compilation of Step Ap-214 Data to Generate Computer Aided Process Planning for Automotive Parts
Authors:   Assistant Professor, Department of Mechanical Engineering, PESITM, Shivamogga, India, Rampur* Vinod V , Reur Dr. Sachhidanand ,   Professor, Department of Industrial and Production Engineering, PDACE, Kalburgi, India.
Published: November 2019

The current manufacturing scenario feature technology which supports the integration of various systems of CAD with CAM then CAM with CAPP or any other computer aided systems. The most important function supported by feature technology the transfer of product and process data. Product model data is the standard for exchange of product information from one CAD system to different systems for seamless integration with CAM. Most of the CAD systems are developing the software’s are using STEP AP-214 product model data. AP-214 is a systematic neutral data format for developing a feature-based process planning. In this paper, collection of STEP AP-214 based product model data as stated by ISO 10303 to identify the features of the product for manufacturing of prismatic part and generating a standard process plan. Further, this process planning is used to generate computer numerical control (NC) codes for CAM system to complete the manufacturing of part.
“Impact of Emotional Intelligence on Emotional Maturity of Employees at Resin Manufacturing Organizations”
Authors:   Research Scholar, DYPatil Deemed To be University School of Management, Navi Mumbai, India., Bhoir* Bhagyshree M , Suri Dr. Sapna ,   Associate Professor, DYPatil Deemed To be University School of Management, Navi Mumbai, India.
Published: November 2019

The present study investigated the Emotional Intelligence Impact on Emotional Maturity of Employees in the Manufacturing Industry. 100 employees from the Manufacturing Industry from Munbai and Navi Mumbai area were chosen for the present study. Simple Random Sampling Technique was used to select the samples for the study. The findings of the study reported that there is positive Association among Emotional Intelligence and Emotional Maturity of Employee in manufacturing organizations. The Employees who are emotionally mature show high level of self-confidence while Employees who are Emotionally Immature show low level of self-confidence. There are three psychological dimension related to Emotional Intelligence which include Emotional Competency, Emotional Sensitivity as well as Emotional Maturity. All these three factors guide a person in handling the complex dynamics of human behaviour in a better way. For the present study an extensive well designed questionnaire was used to collect the primary data from the manufacturing industry employees. Also various HR departments from the same manufacturing industries were approached in order to collect the secondary data.
Patient Readmission Prediction Due to Diabetes using Machine Learning Classification
Authors:   Assistant Professor(O.G), SRM Institue of science and technology., Ebenzer* Ms. P Adlene , Kumar Rupesh ,   Pursuing B.tech, SRM Institue of science and technology., Patel Harshit ,   Pursuing B.tech at SRM Institue of science and technology., Bhattalwar Rishikesh ,   Pursuing B.tech, SRM Institue of science and technology.
Published: November 2019

Diabetes mellitus is a general illness of body caused due to a group of metabolic disorders and conditions where the sugar level readings over a prolonged period are very high. It affects different organs of the human body which thus harm a large number of the body's system and tissues to micro level, particularly blood veins, nerves and also skin. It usually occurs when body has malfunctioned pancreas or there is insulin resistance. As there have been huge advancements in machine learning field which is widely used in solving different real life community level problems including health care and also due to presence of vast data from different medical care centres and hospitals which can play an important role in building a machine learning model which can predict weather a person is suffering from diabetes by using data sets from different hospitals and medical care centres. We have collected data from different hospitals over past 10 years where we consider different factors that determine whether admission of a person into hospital is required or not. Depending upon the previous medical history of the person, it can be determined that weather or not the person is readmitted into the hospital and within what time period. Hence in this paper we try to construct a model where we predict weather a person is readmitted to hospital or not .Main focus is to help health care professionals, medicine practitioners and people who suffer from its symptoms improve their treatment process by predicting the chance of the person having diabetes, here by decreasing cost of treatment and enabling the concerned person to be self-aware of their medical condition.
The Role of Private Extension Agents in Broiler Farmer Business Capacity Building using a SEM Lisrel
Authors:   Department of Communication Science and Community Development, Faculty of Human Ecology, IPB University, Indonesia., Suryanti Reni , Prof. Sumardjo*  ,   Department of Communication Science and Community Development, Faculty of Human Ecology, IPB University, Indonesia., Dr Syahyuti  ,   Department of Communication Science and Community Development, Faculty of Human Ecology, IPB University, Indonesia., Tjitopranoto Dr. Prabowo ,   Department of Communication Science and Community Development, Faculty of Human Ecology, IPB University, Indonesia.
Published: November 2019

The low business capacity of broiler farmers is the reason behind the failure to achieve a sustainable farming business. Efforts for capacity building could be conducted by private extension agents who are the technical personnel of core companies in the broiler partnership pattern. The purpose of this study was to analyze the private extension agents’ strategies in strengthening the farmers’ capacity. The study was conducted in Bogor Regency and Sukabumi Regency, West Java Province using a survey approach on 247 farmers who run poultry-raising businesses using the partnership pattern based on Slovin’s equation out of the partner farmer population of 646 people. The sample selection used cluster random sampling with farmer clusters from the two regencies. Data were collected through questionnaires completed by farmers and in-depth interviews of key informants. Data were collected from July to October 2018. The data were analyzed using descriptive analysis and inferential analysis with SEM. The study results revealed that the farmers’ capacity and private extension agents’ competence and role were weak. The farmers’ low capacity was influenced by the private extension agents' weak role. The weak private extension agents’ role was influenced by the private extension agents’ competence which was also weak. Strategies to increase the role of private extension agents are by strengthening their competence through strong collaborations between the government and partner companies so that they may, in turn, strengthen the farmers’ capacity.