bluuebunny/crossref_metadata_2025 huggingface dataset:
Water Monitoring and Automatic Feed in Aquarium Based on Microcontroller
Authors:   Informatics, School of Creative Technology Binus Bandung, Bandung, Indoneisa., Widianto Mochammad Haldi , Darisman Aris ,   Visual Communication Design, School of Creative Technology Binus Bandung, Bandung, Indonesia,
Published: January 2020

Automatic technology needs to be applied to all items that are still not fully automated. But in reality still not all automation tools implement all parts working automatically. As with maintaining fish in an aquarium which is a hobby of urban residents who work manually and routinely, such as feeding fish regularly then monitoring pH, etc., therefore transferring the work of caring for fish and aquariums is important to be done automatically. Using a microcontroller and other sensors combined into an integrated system can automate activities such as raising fish in an aquarium. Automatic activities include monitoring the pH of water and feed supplemented with reports in the form of SMS as information for aquarium owners. By using an automatic water and fish feed monitoring system based on a microcontroller, aquarium owners can find out the pH value of aquarium water even though they know how to calculate it and will feel calm when traveling for a long time because the aquarium has been automated, where the bait will be given automatically according to the schedule and predetermined portion. The formation of tools using the waterfall method commonly used to design technology so that research is expected to know the impact of the formation of this waterfall. Microcontroller results are tested using a black box to measure the original size with the size of the results of the microcontroller. the results show that if this automation is done using the waterfall method and tested using a black box successfully produces automation in the aquarium.
A Novel Delay Based System for Type1 Diabetes using Xilinx System Generator 14.5
Authors:   Assistant Professor, Department of ECE Maria College of Engineering & Technology, Belmon Anchana P , Auxillia D. Jeraldin ,   Professor, Department of ECE St. Xavier’s Catholic College of Engineering, Chunkankadai
Published: January 2020

In this paper an enhanced delay based system is proposed with a parallel execution of PID and Pseudo PID controllers using a Xilinx System Generator14.5. This paper presents simulation results on Direct synthesis, IMC and lambda based designs in both PID and Pseudo PID separately and parallel. The control methodology is suited for the people under Type 1 Diabetes Mellitus and it will maintain a glucose insulin homeostasis.
Two Iterative Methods to Solve Nonlinear Equations of Load Flows
Authors:   Universidad Veracruzana, Facultad de Ingeniería, Ixtaczoquitlán Ver., México,, D. Rubén Villafuerte , C. Jesús Medina ,   Universidad Veracruzana, Facultad de Ingeniería, Ixtaczoquitlán Ver., México,, S. Rubén A. Villafuerte ,   Instituto Tecnológico Nacional, Campus Orizaba, Orizaba, Ver. , México,, R. Victorino Juárez ,   Universidad Veracruzana, Facultad de Ingeniería, Ixtaczoquitlán Ver., México
Published: January 2020

This paper presents the results obtained when two iterative methods are applied to the solution of non-linear equations that model the load flow in electric power systems. Two iterative methods are applied; the first consists of a simplification of the rectangular form the traditional Newton-Raphson method, the second is a hybrid method and relates the simplified form proposed here and a four-step Newton-type iterative method. The convergence characteristic and the mathematical preliminaries of the iterative four-step method are included in the paper. The methods were used to calculate the voltages at each node of the IEEE test system of 118 nodes and a distribution system of 40 nodes. In each method, the formation of the Jacobian matrix, widely used in traditional forms of load flows, is avoided and only elementary operations are carried out, impacting the execution times for the test systems used, being of the order of 15.6 to 279 milliseconds. The maximum error found is for the 118 node system and is of the order of 3.7%.
Prediction of Multi Drug Resistant Tuberculosis using Machine Learning Techniques
Authors:   School of Computer Science & Engineering , Vellore Institute of Technology, Vellore, India, Lokeshkumar R , S Jothi K R, Anto ,   School of Computer Science & Engineering, Vellore Institute of Technology, Vellore, India, kumar R Kiran ,   School of Computer Science & Engineering, Vellore Institute of Technology, Vellore, India, Narayanan Hari ,   School of Computer Science & Engineering, Vellore Institute of Technology, Vellore, India
Published: January 2020

Mycobacterium Tuberculosis bacteria is the primary cause for Tuberculosis. TB is one of the main reasons of mortality around the world. Multi Drug Resistant Tuberculosis (MDR-TB) is a type of tuberculosis bacteria which are resistant to anti-TB drugs, drugs like isoniazid (INH) and rifampin (RMP). Different Machine learning approaches has been widely applied to predict MDR TB. Here, we review different Machine Learning Approaches to predict MDR-TB. Different feature estimation methods, execution of distinct machine learning models also have been explored. Additionally, the utilization of the distinctive machine learning system models for distinguishing the dis-functionalities of MDR-TB in the recent decades has been talked about.
Development of Alternative Electrical Energy Utilizing Thermo Electric Generators TEG for Refrigerators
Authors:   ECE Department, Don Honorio Ventura State University, Cabambangan Bacolor, Pampanga, Philippines., Tolentino Anthony S.
Published: January 2020

The study aims to harness electrical energy from the wasted heat of refrigerator by using the temperature difference of the hot side surface and cold side surface. The use of Seebeck effect was applied to gather the said electrical energy. The system is composed of a charge controller to regulate the output of the thermoelectric generator as well as provide a direct current type of voltage. The energy that comes from the charge controller is stored thru a backup battery bank and will be used for the charging of the different low voltage devices like cellphones, tablets, etc. The charging time of the batteries going from zero percent charge to 100% charge depends on the output current of the TEG and also dependent on the temperature difference of the refrigerator. A current of 1.5mA coming from the TEG will provide 50mins charging time for the battery. The total mean parameters for the output system are the following: mean voltage = 5.82V, the mean current = 0.8695 mA, and the mean power output = 4.60165mW.
Agnizing Sarcopenia and Coherent Variable Optimization of Body Fat Percentage using Genetic Algorithms and Regression
Authors:   Ph.D Research Scholar, Computer Science, University of Madras, Hannah J. Grace , Gladis D. ,   Principal, Bharathi Women’s College, Chennai.
Published: January 2020

Obesity is a malady which poses wide threats across the world with its augmented inflation. A domineering determinant to most pandemic diseases in the human body is the agglomeration of body fat. Therefore, an apposite anatomization of body fat estimation for every individual is incumbent. The previous work aberrates and pioneered the implementation of attributes from the lipid profile and Bio-Electric Impedance Analysis (BIA) method of a person, from the conventional use of attributes such as BMI, age and gender to obtain the value of body fat percentage. But the proposed analysis meliorates the accuracy of body fat percentage and resuscitated the gamut of health gremlins it vanguards to. This paper also delineates the variable optimization using regression and genetic algorithm for the attributes incorporated to procure the body fat percentage. Thereby corroborating and revamping the veracity of the novel body fat percentage derived using lipids and the BIA method. The study has further helped in diagnosing a disease known as sarcopenia. The samples from the blood tests and Bio-Electric Impedance method have been procured from the Institute of Bio-Chemistry, after obtaining the consent from the Institutional Ethics Committee, Madras Medical College, Chennai. The simulations are carried out in MATLAB GUI and the results have been successfully obtained.
Smart Trash Can
Authors:   Assistant Professor, Department of CSE, SRM Institute of Science of Technology, Chennai (Tamil Nadu) India, Sellam V. , Pushkala R. ,   Department of CSE, SRM Institute of Science of Technology, Chennai (Tamil Nadu) India., Akshita V. ,   Department of CSE, SRM Institute of Science of Technology, Chennai (Tamil Nadu) India, Nivetha R. ,   Department of CSE, SRM Institute of Science of Technology, Chennai (Tamil Nadu) India.
Published: January 2020

In the city being over populated, the excess amount of waste produced should be eliminated periodically. These wastes are being laid down, creating unhygienic conditions. Since the people available for these works are very less, the available workers need to be used efficiently. To make efficient use of employees an IOT (Internet of Things) based solution is proposed in the project where it indicates whether the trash can to be emptied in that area. When the trash can is full, an indication from sensor to micro controller is given. A cloud website is used to know the status of the trash can by the people living around. This network of systems works dynamically. Thus, this system puts an end to the overflowing of trash cans. It also reduces unwanted fuel consumption, avoids traffic and prevents diseases. This makes our city smart and clean.
Intelligent Tourist Guide System using Web Development
Authors:   Student BTECH CSE (3rd year), SRM Institute of technology, Ramapuram, Islam Abrar , Priya S ,   Assistant professor CSE (O.G), SRM Institute of technology, Ramapuram, Sharma Aakrshan ,   Student BTECH CSE (3rd year), SRM Institute of technology, Ramapuram
Published: January 2020

There is a huge development in the Information Technology or IT sector recently. Also, there is a massive use of Geographic Information System or in short, we say as GIS nowadays. Tourism Industry is getting more and more advantage specially from GIS. GIS and Tourism Industry are bonding together in a smooth and progressive manner. In order to connect GIS and Tourism, that means in order to establish a bonding between them network is required or we can say connectivity is required. Network allows nodes to share resources in digital telecommunications. So, GIS and Tourism are interconnected with network. Network form infrastructure of modern society. When tourists visit a new place, they might not know about the place in a detailed manner or it might be just a new place for them. Even services like Google which uses the Navigation system and uses the GIS system might not have all details of a place of very low tourist interests. But here we propose Intelligent Tourist Guide System using Web Development which will help tourists travelling to different parts of the world and also local people can advertise their place in order to make it a Tourist Spot and make their area famous.
Establishing AN Association between Risk Tolerance and Behavioral Biases among Indian Investors
Authors:   Director and Professor IILM Academy of Higher Learning, Research Scholar AKTU Lucknow, Uttar Pradesh, India., Rushdi Naela Jamal , Sushma  ,   Director and Professor IILM Academy of Higher Learning, Research Scholar AKTU, Lucknow, Uttar Pradesh, India.
Published: January 2020

Behavioral Finance Literature Has Shown A Mushroom Growth In The Recent Years. Literature Shed Specific Light On How The Concept Evolved And Later Developed To Various Stages Which Helped To Understand Various Market Anomalies And The Psychology Of Individuals Through Behavioral Biases. Behavioral Finance Tries To Explain The Logic Behind Applying Of Heuristics Or Shortcuts By Investors To Take Investment Decisions Which Still Need To Be Extensively Studied. The Study Here Attempts For Identify Presence Of Different Biases In Individual Decision Making And Their Association With The Risk Tolerance Capacity. The Results Indicate That Heuristic Biases (I.E. Representativeness Bias, Overconfidence Bias And Gamblers Fallacy Bias) Are Linked To Moderate To High Risk Tolerant Investors. While Herd Bias And Prospect Biases (Loss Aversion Bias And Mental Accounting Bias) Are Found To Be Linked With Low To Moderate Risk Tolerance Levels Of Investors. Heuristics Are Positively Correlated With Risk Tolerance However; Prospect And Herd Are Found To Be Negatively Correlated With Risk Tolerance.
Design and Development of Roadside Waste Collector
Authors:   Department of Mechanical Engineering, Kongu Engineering College, Erode (Tamil Nadu) India., R. Manivannan , R. Rajasekar ,   Department of Mechanical Engineering, Kongu Engineering College, Erode (Tamil Nadu) India, S. Nithish Vetrivel ,   Department of Mechanical Engineering, Kongu Engineering College, Erode (Tamil Nadu) India., A. Praveen Kumar ,   Department of Mechanical Engineering, Kongu Engineering College, Erode (Tamil Nadu) India., S. Nithesh Kumar K. ,   Department of Mechanical Engineering, Kongu Engineering College, Erode (Tamil Nadu) India.
Published: January 2020

Cleaning has become a basic need of all the human beings. Throughout the world many researchers are conducting experiments in order to eradicate and solve the solid waste removal process. There should be improvising with innovative ideas and techniques which may ensure good health. If an equipment is developed it should be eco-friendly with its usage. All the designer people should be aware of its affects and advantages in preparing a equipment. It’s a great task in order to improve the quality and standards of a equipment for its better usage. It should be designed by keeping the ergonomic aspects. Here in this paper it describes the solid waste removal principle and its working which has been prepared by the scrap materials for the domestic purpose only with low cost expenditure. A prototype model is also prepared which uses DC drive powered rotary brush with pneumatic controlled dust shifting which helps user to remove the waste and to maintain clean and hygienic environment and thus avoids health inequalities and safety concerns with regards to workers as well as common people.
Customer Feedback Analyzer
Authors:   School of Computer Science and Engineering, Vellore Institute of Technology, Vellore (Tamil Nadu) India., Taneja Sanya , Jha Kartikeya ,   School of Computer Science and Engineering, Vellore Institute of Technology, Vellore (Tamil Nadu) India., Lakhotia Nakul ,   School of Computer Science and Engineering, Vellore Institute of Technology, Vellore (Tamil Nadu) India., Kapoor Vedanta ,   School of Computer Science and Engineering, Vellore Institute of Technology, Vellore (Tamil Nadu) India., P. Swarnalatha ,   School of Computer Science and Engineering, Vellore Institute of Technology, Vellore (Tamil Nadu) India.
Published: January 2020

Product reviews always act as a great source of information for a company. These reviews record the customer’s feedback on the product and services that the company provides. The problem that we face is that the number of reviews in these kinds of portals are in thousands for which manual analysis is time consuming and inefficient. So, we plan to make an automated system using machine learning which can do the job of analyzing large number of comments in seconds thereby increasing efficiency. These reviews which are posted online can be both positive and negative, categorizing them into broad categories like product defected, product size invalid, good fitting, excellent working etc., will ease the process for both consumers and sellers. This will help automate the process of Customer Resolution, as it takes a lot of time for an employee to manually sort each comment into various categories and then send it to the particular team for review. Additionally, trends can also be analyzed on these comments, such as which issue is most faced by consumers around a particular date/time. This project will efficiently extract the important topics of concern which the company should focus on and also change or improve in order to keep its customers happy and loyal.
Optimization of Wear Process Parameters on 17-Cr Ferritic ODS Steel
Authors:   Research Scholar, Department of Mechanical Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of science and Technology, Chennai (Tamil Nadu) India., Dharmalingam G. , Sellamuthu Prabhukumar ,   Assistant Professor, Department of Mechanical Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of science and Technology, Chennai (Tamil Nadu) India.
Published: January 2020

The main aim of this article deals with the wear behavior of mechanically alloyed 17-Cr oxide dispersion strengthened (ODS) Ferritic steel consolidated through Vacuum Hot Pressing (VHP) at temperature level of 1170 °C under pressure level of 60 MPa with 60 minutes as holding time and with rate of cooling of 50 ˚C /min and a vacuum level of 10-3 torr. The persuade of wear process parameters were investigated based on the load applied, sliding velocity and sliding distance at a temperature of 350°C on dry sliding track of 17-Cr Ferritic oxide dispersion strengthened steel (Fe-17Cr-0.35Y2O3 -1.5ZrO2 -4Al (%wt). Wear test was conducted in a dry atmosphere using a pinon-disc wear testing machine. Wear behavior of 17-Cr Ferritic ODS steel was analyzed by using Taguchi approach. To examine the process parameter during high temperature wear rate analysis of variance and signal to noise ratios were used. During the wear analysis sliding distance was found to be influential parameters of wear rate for 17-Cr Ferritic oxide dispersion strengthened steel succeeded by functional load and sliding velocity. The regression model was found to calculate the rate of wear for 17-Cr Ferritic oxide dispersion strengthened steel.
Buckling Load Predictions of Panel and Shell using Vibration Correlation Technique
Authors:   Assistant Professor, Department of Aeronautical Engineering, MLR Institute of Technology, Dundigal, Hyderabad (Telangana) India, Goud Nayani Uday Ranjan , Sawale Alka ,   Assistant Professor, Department of Aeronautical Engineering, MLR Institute of Technology, Dundigal, Hyderabad (Telangana) India., Rakham Bhupal ,   Assistant Professor, Department of Aeronautical Engineering, MLR Institute of Technology, Dundigal, Hyderabad (Telangana) India.
Published: January 2020

Prediction of buckling loads is a very important phenomenon for aerospace and marine industry. In this paper buckling predictions of a submarine hull is considered by using a shell element and a rectangular panel is considered by using a plate element. The buckling load of a submarine hull can be predicted by using vibration correlation technique. Determination of these buckling loads can be carried out based on the boundary conditions of the submarine hull structure. The technique will be carried by considering both surface conditions and to determine the crippling load of a hull. This paper aims to use VCT for a submarine hull structure used in marine, ocean and can compare the results to aerospace industry by considering a rectangular panel for which buckling is predicted using vibration correlation technique . VCT is not very extensively used in case of thermal buckling. However in this paper, VCT is applied to verify the thermal buckling of a simple thin rectangular panel subjected to parabolic loading.
Design E Wallet as a Centralized E wallet
Authors:   Professor Department of Computer Applications ABES Engineering College, Ghaziabad, (UP), INDIA, Kumar Devendra , Sharma Upasana ,   Department of Information Technology AIIT,Amity University,Noida, (UP), INDIA
Published: January 2020

Now days, billions of people are using smart phones all over the world and as the phone gets smarter, the new features gets added that reduces the human efforts in many fields. Smart phone makes the payment of different things such as ordering food, booking a cab, ordering grocery, booking a movie ticket via different mobile applications. These mobile applications work with the support of e-wallets which is recognized as digital wallets. This paper proposes the design of connecting different e-wallets present into a single smart phone. The proposed method will make digital payment much less cumbersome.
Assessment and Analysis of a Grid-Tied Photovoltaic System with Net-Metering for State University in Pampanga
Authors:   Department of Electrical Engineering, Don Honorio Ventura State University, Bacolor, Pampanga, Philippines., Santos Edgardo M.
Published: January 2020

The utilization of renewable and eco-friendly source of energy which is also referred as “Alternative Energy” is now being recognized around the world, particularly the Solar Energy. The study proposes a grid-tied photovoltaic system with net-metering that generates electricity that is linked in the electrical grid, where in excess power is sold to the utility company. The objective is to improve the cost of energy consumption of Don Honorio Ventura State University Main Campus by designing and assessing Electrical Power System that lessens the dependency on the Distribution Utility (DU). The design of the system used with respect to the roofing area per building is (3,464) 300 Watts polycrystalline PV panels, (2) uni-directional or (1) bi-directional meter for monitoring the import and export energy, and 30kW-100kW inverter to convert DC (direct current) to AC (alternating current).The computation of the savings was based on the total kWh used per month with the system installed and includes the excess or export energy that is generated from the PV solar panels. Through the assessment of the proposed system, it will surely help Don Honorio Ventura State University (DHVSU) Main Campus to save monthly electric bill and lessen the dependency of the University to the utility grid. Since DHVSU’s building are secondary metered by the Distribution Utility, there is a need to install separate PV System set-up tp meet the individual electrical requirement. The PV system will be installed via On-Grid Connection to the DU subject to the Net Metering rules and guidelines as stated by the Renewable Energy Act of 2008.
Usage of Porcelain Insulators Wastes in the Preparation of Cement Based Building Units
Authors:   Faculty, Department of Chemical Engineering, Cairo University, Giza, Egypt., Salam N. F. Abdel
Published: January 2020

Porcelain electrical insulators manufactured from refractory ceramic materials have to pass stringent tests prior to final acceptance. This causes large amounts of wastes to be available at the plant premises representing a waste of material besides being an environmental threat. In the present work, porcelain wastes were crushed and ground to pass 40 mesh screen and used as partial sand replacement in cement mortar cubes as first step for possible use in concrete works. The effect of particle size and percent addition on water of consistency and setting time of cement paste and flow behavior of mortars and their compressive strength was investigated. The results showed that the substitution of sand by the waste moderately altered most of the properties but helped raising the mechanical strength.
Human Actions and Hand Gesture Recognition with Deep Learning
Authors:   P.G Scholar, Computer Science and Engineering, Jeppiaar Engineering College, Chennai, Tamilnadu, India., Hema Bapireddygari , Renjit J. Arokia ,   Professor & Head, Computer Science and Engineering, Jeppiaar Engineering College, Chennai, Tamilnadu, India
Published: January 2020

Over recent times, deep learning has been challenged extensively to automatically read and interpret characteristic features from large volumes of data. Human Action Recognition (HAR) has been experimented with variety of techniques like wearable devices, mobile devices etc., but they can cause unnecessary discomfort to people especially elderly and child. Since it is very vital to monitor the movements of elderly and children in unattended scenarios, thus, HAR is focused. A smart human action recognition method to automatically identify the human activities from skeletal joint motions and combines the competencies are focused. We can also intimate the near ones about the status of the people. Also, it is a low-cost method and has high accuracy. Thus, this provides a way to help the senior citizens and children from any kind of mishaps and health issues. Hand gesture recognition is also discussed along with human activities using deep learning.
Effect of Different Chemicals Compounds upon the Surface of Heavy Crude Oil
Authors:   Professor, Department of Petroleum Engineering, Academy of Maritime Education and Training (AMET), Chennai., Nagalakshmi T. , Sivasakthi A. ,   Assistant Professor, Department of Petroleum Engineering, Vels Institute of Science, Technology and Advanced Studies (VISTAS), Chennai.
Published: January 2020

Heavy crude oil is one of the unconventional crude oil which is difficult to recovery by conventional methods. High viscosity of heavy crude oil is reduced by the usage of steam in thermal recovery processes. Chemical flooding practices were fewer in heavy oil field compared to thermal flooding due to the low reactivity of chemicals on high dense crude oil. In this research article, different chemical compounds were tested on the heavy crude oil in both ambient and hot water conditions. The chemical compound prepared in the ambient temperature of water has no effect on heavy crude oil. On the contrary, heavy crude oil gave response to the chemicals made up of hot water. The chemical compounds namely surfactants, solvents and some salts happened to change the surface of heavy crude oil in turn influence the recovery rate. The analysis is useful for the testing and selecting of specific chemical compound which will react with heavy crude oil and improve the production.
A Fuzzy AHP Methodology to Analysis the Impact of Employee Motivation in Manufacturing Industry
Authors:   Department of Humanities and Management Sciences, Madan Mohan Malaviya University of Technology, Gorakhpur (Uttar Pradesh) India., Tiwari Ekta , Singh Rajesh ,   Department of Humanities and Management Sciences, Madan Mohan Malaviya University of Technology, Gorakhpur (Uttar Pradesh) India.
Published: January 2020

In this competitive era where employee’s performance and productivity decides his or her value, motivated employees stands on the top priority of every organization. This is because a motivated employee not only adds revenue to its organization but also helps in creating brand value as only a motivated employee can generate customer satisfaction leading to customer brand loyalty. In a developing country like ours Manufacturing sectors play a very important role in the economy of the country. Through its modern implements manufacturing sectors brought great changes in the traits of agriculture which helped the agricultural sector in modernizing itself by introducing various manufacturing tools. A motivated employee through his or her performance and productivity help the manufacturing sector lowering its cost of units produced which directly benefits the society as the product will be available to them in better quality and at cheaper rate. Thus, the performance of the employees in the manufacturing sector directly or indirectly influence the pricing policy of any product. Hence a motivated employee is way more necessary not only for the benefit of organization but for our economy and the society as whole.
Earthquake Analysis, of RC Structure using Different Codes and Different Countries
Authors:   Post-Graduation Student, Ujjain Engineering College, Ujjain, Rgpv University, Bhopal M.P, India, Charavande Gaurav , Maru Savita ,   Professor, Department of Civil Engineering, Ujjain Engineering College, Ujjain, Rgpv University, Bhopal M.P, India Ujjain,456010, Madhya Pradesh , India
Published: January 2020

This paper presents a seismic behavior of various structures using different codal provision as given Indian code, American code, &Newzealand code for earthquake analysis. This study is carried out on residential building of G+5, G+11, G+21 of Special RC structure . Modeling of the structure is done as per ETAB software. Time period of the structure in both the direction is taken from the software as per the three standard (9 model are made 3 model for each code). A comparative analysis is performed in terms of base shear, deflection limit, stores drift at linearly static and response spectrum.
A Cross layer QoS Framework for Heterogeneous IoT environment
Authors:   Research Scholar, Computer Science and Engineering Department, Jain University, Bangalore, India., Bhaddurgatte Ravi C , P Vijaya Kumar B ,   ISE Department, M S Ramaiah Institute of Engineering and Technology, Bangalore, India, M Kusuma S ,   Telecommunication Engineering Department, M S Ramaiah Institute of Engineering and Technology, Bangalore, India.
Published: January 2020

Internet of Things (IoT) is one of the fast growing technological paradigm in terms of architecture, standards, protocols, infrastructure deployment, Quality of Service (QoS), Service Level Agreements (SLAs), service provisioning, cross domain and cross platform implementations. IoT involves the techniques and technologies for sensing, actuation, communication, computation, networking and storage. In such a demanding environment the need for cross layer QoS functionalities are essential to address the issues like resources, mobility, security and energy management. The detailed review of literatures on IoT architectures and QoS implementations is made and it is observed that there is a need for cross layer QoS model in IoT environments and is one of the critical research challenges. A novel approach to address the above challenge(s) in an IoT environment requires an appropriate lathering of functional modules to different layers to meet different QoS requirements. Hence we propose a novel cross layer QoS framework supporting adaptable and distributed decision making in the IoT environment as a cross layer implementation addressing energy optimization and bandwidth efficiency. The results are verified by implementing the proposed framework in realistic IoT systems for verifying QoS parameters like delay, energy and bandwidth.
Islamic Habituation in Growing Students’ Social Behavior
Authors:   State Institute of Islamic Studies (IAIN) Curup, Curup, Indonesia, Baryanto  , Bahri Syaiful ,   State Institute of Islamic Studies (IAIN) Curup, Curup, Indonesia, Fathurrochman Irwan ,   State Institute of Islamic Studies (IAIN) Curup, Curup, Indonesia, Alamsyahril  ,   BKPSDM Lubuklinggau, Lubuklinggau, Indonesia.
Published: January 2020

This qualitative research aimed at revealing the habituation of Islamic values in MAN Rejang Lebong. This research used observation, interview, and documentation as instruments. The results showed that the school actualizes reciting the Qur'an before class begins, reciting prayer, reciting salawat, reading asmaul husna, praying duha and zuhur in congregation, applying the five S (senyum, salam, sapa, sopan, santun), Friday prayers, Friday safaris, Friday morning cults, Friday charities and clean Friday and the implementation of religious activities routinely carried out by school principals using strategies in familiarizing religious activities, religious routine activities continuously. So it can cultivate religious social behavior such as the honest discipline of provident living helps be flexible in association and. As for the obstacles to performing the routine of religious activity, there is still a lack of motivation in students, so a small proportion of students are still less active or frequently latent when engaging in activities.
Nexus DNN for Speech and Speaker Recognition
Authors:   Department of Computer Science and Engineering Institute of Aeronautical Engineering, JNTU (H) Hyderabad, India, Prakash Chittampalli Sai , Devi J Sirisha ,   Department of Computer Science and Engineering Institute of Aeronautical Engineering, JNTU (H) Hyderabad, India
Published: January 2020

Over the years, many efforts have been made on improving recognition accuracies on Automatic speech recognition (ASR) and speaker recognition (SRE), and many different technologies have been developed. Given the close relationship between these two tasks, researchers have proposed different ways to introduce techniques developed for these tasks to each other. In this paper an open source experimental framework is proposed for speech and speaker recognition. Then a unified model, Nexus-DNN is developed that is trained jointly for speech and speaker recognition. Experimental results show that the combined model can effectively perform ASR and SRE tasks.
Email Thread Identification and Management
Authors:   Assistant Professor, Symbiosis International (deemed University) Pune (Maharashtra) India, Kulkarni Priti , Acharya Haridas ,   Professor, Allana Institute of Management, Pune (Maharashtra) India.
Published: January 2020

Nowadays, Email communication is use as primary communication tool in the business domain as well as in education sector. Due to massive incoming emails, overflowing inbox is one of the problems faced by email users. There are several reasons for such a situation, one of them being the unnecessary mass of thread emails. They are retained in inbox even when they are not necessary. Even if this email is deleted from inbox, the next message as thread email will hit your inbox. Wrong use of „reply-all‟ tab adds to this situation called “Email storm”. Thread emails are often generated because of users‟ careless habit to click on „Replyall‟ button. It is almost like a reflex action on their part. This work intends to solve the problem of email storm on two fronts :  Identification of thread emails  Automatically controlling thread email The three datasets Din, Dadm and Dexam from academic domain are used as training data. The experimental outcome shows that „In-Reply-To‟, „References‟ and additionally „threadindex‟ are the dominant features in identifying thread emails. We have used these features to derive thread classification strategy. The developed algorithm is used to test four datasets Dcor, DCS, DF1 and DF2. Using this method accuracy upto 99.91% is achieved. Further, the paper also suggests access control rights strategy to control email storm. The model is proposed for controlling thread emails in education domain. The control mechanism will help system administrators to control email traffic.
Proximate and Ultimate Charaterization of Coal Samples from Southwestern Part of Ethiopia
Authors:   Department of Mineral Processing Engineering, School of Mines, Aksum University, Tigray, Ethiopia., Cheepurupalli N. Rao , Anuradha B. ,   Department of Chemical, Geological survey of India, Hyderabad, India.
Published: January 2020

This study aimed to characterize the coal in terms of proximate and ultimate analyses. The analytical assessment of properties such as volatile matter, moisture, fixed carbon, and ash content are very important to know the quality of the coal. The proximate analysis results shows that the moisture content varies from 13.4 to 22.6 wt%, the fixed carbon varies from 26.7 and 38 wt%, the ash content varies from 11.9 to 25.7 wt%, the volatile matter varies from 23.8 to 36.5iwt%. The analytical results show that the Carbon content varies from 48.60 to 70.68 wt%, Oxygen content varies from 42.29 to 57.38 wt%, the hydrogen content ranges from 4.43 to 5.28 wt%, the sulphur varies from 1.35 toi3.04 wt%, the Nitrogen content varies from 1.86 to 2.34 wt%. Proximate analysis and calorific data show that Ethiopian coal is in the soft coal series (lignite to bituminous coal) and is genetically classified as humic, sapropelic and mixed coal. The present study helps to characterize the coal type and also highlights the importance of chemical parameters in characterizing the coal besides, tracing the depositional environment and also helps to the economical evolutions of the deposit.
Adaptive Crop Monitoring System Based on Wireless Sensor Networks
Authors:   Research Scholar Department of CSE, SCSVMV University, Kanchipuram, Tamilnadu, India, Bhanu B. Balaji , Hussain Mohammed Ali ,   Professor, Department of ECM, KL Deemed to be University, Vaddeswaram, Guntur Dist., AP, India, Mirza Mahmood Ali ,   Professor, Department of Computer Science Engineering, Krishna University, Machilipatnam, Krishna Dist., AP, India
Published: January 2020

Through incorporation of wireless sensor networks (WSNs) into many domains like health care, smart city and various industrial applications, it has become a broad area of research to many experts and scholars worldwide. This paper mainly concentrates on efficient development of agriculture by various modern procedures followed by farmers especially in southern part of India. This includes combination of various climatic parameters like temperature, light, rain and other environmental factors. The existing applications lack location specific data based on their system structure and other key technologies. Therefore there is a need for a systematic architecture based on various locations as environment differs from location to location. This paper presents an adaptive approach for crop management and an easy way to monitor systems which helps the farmer to get a better crop yield. The advantages and challenges of the existing systems are discussed here and various novel and innovative ideas are discussed along with future scope.
Uncertainty Error Analysis on Micro Hardness of Al6061-B4C Surface Composites Produced by Friction Surfacing
Authors:   Department of Mechanical Engineering, Karunya Institute of Technology and Sciences, Coimbatore, India., Mohanasundaram S. , Vijay S. J. ,   Department of Mechanical Engineering, Karunya Institute of Technology and Sciences, Coimbatore, India., X Ajay Vasanth. ,   Department of Mechanical Engineering, Karunya Institute of Technology and Science, Coimbatore 641114, India., kumar P. Ram ,   Department of Mechanical Engineering, Karunya Institute of Technology and Sciences, Coimbatore, India
Published: January 2020

Friction surfacing is a confined surface modification process of depositing a layer of a consumable tool (Mechtrode) over the base plate (Substrate). This solid-state surfacing opts for dissimilar material and erosion resistant coatings. It is also utilized for localized repairing of worn-out components. In the present study, the hardness of the coated material is compared with the substrate. In this experiment, the Al-B4C composite consumable rod is prepared with Aluminium 6061 alloy and 3, 6, 9, 12 and 15 weight % of B4C by stir casting and coated over the Aluminium 6061 alloy plate. The 25-run experiment is conducted for the combination of the rotational speed, traverse speed and axial load. The combined effect of process parameters and the increase in weight % of B4C results in the change in hardness. The hardness of the coating is enhanced by 65% than the substrate. The uncertainty analysis revealed that it has a good correlation with the hardness standard value and also it has an error of 5%. The ANOVA analysis concluded that the rotational speed and the weight percentage of the reinforcement improved the microhardness of the coating.
Readiness of Polytechnic Manufacturing Program in Malaysia towards Future Industry
Authors:   FPTV, Universiti Tun Hussein Onn, Johor, Malaysia., Adnan Nurul Afizah , Paimin Aini Nazura ,   Lecturer, FPTV, Universiti Tun Hussein Onn, Johor, Malaysia., Hasan Abdullah Azraai ,   FPTV, Universiti Tun Hussein Onn, Johor, Malaysia
Published: January 2020

Polytechnic education was introduced in Malaysia with funding from the World Bank in 1969. The purpose is to be one of Malaysia’s education provider to access quality in produce holistic, enterprising and competitive human capital in line with global industrial needs. Currently, there are 37 polytechnics in they that offered quality programs with relevant curriculum. One of the programs is Diploma in Mechanical Engineering (Manufacturing) is competent skills in the field of mechanical engineering to fulfill the demand of workers in the engineering manufacturing sector. For remain competitive especially in terms of future technology advancement, this program needs to be revised so that the students who are produced can meet the requirements of the future industry specially to face the challenging in Industrial Revolution 4.0(IR4.0). To get the clear situation, the qualitative study had been conducting with the interview method to identify how far the adequate of polytechnic manufacturing program towards IR4.0 regarding the readiness of student competency, the effect of the changes and actions taken by polytechnics management. From the findings, it shown that the manufacturing programs in Polytechnic Malaysia need to arrange the strategy to make sure the student or the graduates that they develop can fulfil IR4.0 skills and competencies related.
Mechanical and Flexural Behavior of High Performance Concrete Containing Nano Silica
Authors:   Associate Professor, Department of Civil Engineering, GMR Institute of Technology, Rajam, Andhra Pradesh India., Sridhar J. , Vivek D. ,   Assistant Professor, Department of Civil Engineering, KPR Institute of Engineering and Technology, Coimbatore. Tamil Nadu, India., Jegatheeswaran D. ,   Professor ,Department of Civil Engineering, Sona College of Technology, Salem, Tamil Nadu, India.
Published: January 2020

This research work presents the role of nano silica (NS) on properties of high performance concrete. This study evaluates the influence of nano silica in three percentages (1%, 2%, 3 %,) by weight of cement. Several tests including mechanical properties and flexural test were performed to understand the influence of nano silica on behavior of concrete. It was determined that Portland cement replaced with 3% by weight with nano silica could accelerate C-S-H gel structure at early stage of hydration. In return this increases water permeability resistance of concrete specimens and acts as filler material that enhances micro structure as well as activator to promote pozzolanic activity and this will pave the way for producing good quality concrete.
Processing and Mechanical Characterization of ADC12 alloy B4C RHA Hybrid Composites
Authors:   Research Scholar, Dept. of Mechanical Engineering, University Visveswaraya College of Engineering Bangalore-560001 India,, Mohan R Murali , Kempaiah U N ,   University Visveswaraya College of Engineering Bangalore-560001 India,, Seenappa  ,   Associate Professor, Department of Mechanical Engineering, Government Engineering College, Ramanagara-562159, Karnataka, Inida,, Nagaral Madeva ,   Deputy Manager, Aircraft Research and Design Centre, HAL, Bangalore, India.
Published: January 2020

The effects of dual particulates addition on the mechanical behaviour of ADC12 alloy composites were studied. Boron carbide (B4C) and rice husk ash (RHA) particulates were used as the reinforcements in the ADC12 alloy base matrix. Hybrid composites were prepared by using liquid melt method, keeping 5 wt. % of B4C reinforcement constant and varying rice husk ash particles in steps of 3 and 6 wt. % in the ADC12 alloy. Samples were tested for microstructural characterization by using SEM and EDS. Mechanical behaviour like hardness, ultimate tensile strength; yield strength, percentage elongation and compression strength were evaluated as per ASTM standards. SEM photographs revealed the uniform distribution of B4C and RHA particulates in the ADC12 alloy and these particles were confirmed by EDS analysis. Further, hardness, tensile and compression properties of base matrix ADC12 alloy was enhanced with the addition of B4C and RHA particulates. Ductility of ADC12 alloy decreased after the incorporation of B4C and RHA particles.
Impact of Geometry Effects on Artery Stent Deployment Characteristics
Authors:   Associate Professor, Dept. of ME, TKM College of Engineering, Kollam, Kerala, India, V Hashim , L Resmi S ,   Assistant Professor, Dept. of ME, TKM College of Engineering . Kollam , Kerala ., N Dileep P ,   Professor, Dept. of ME, TKM College of Engineering . Kollam , Kerala, Mohammed Jesna ,   Assistant Professor, Dept. of ME, TKM College of Engineering . Kollam , Kerala, A Rajeev ,   Senior Scientist Assistant, Dept. of Medical Devices Engineering, SCTIMST, Trivandrum
Published: January 2020

Intravascular stenting is the leading treatment procedure for atherosclerotic coronary heart diseases. Among the various procedures, it is simpler and faster with a high initial success rate. Stent design, stent material, and clinical procedure decide the efficacy and life of stents. Strut thickness and crown radius are two essential design parameters that dictate expansion characteristics of stents. This research work discusses computational analysis of a specific stent, to explore the influence of thickness of strut on the deployment characteristics like stress/strain, foreshortening, recoil, and dog boning. The optimum stent design is one which gives maximum expansion with minimum stress distribution, dogboning, and elastic recoil. Five similar stent models with thickness ranges from 65μ to 105µ were modeled and computational method was adopted to simulate the transitory expansion nature of stent/balloon system. The FE results were substantiated with an in-vitro experiment. It was found that strut thickness has a major impact on stent recoil and low impact on foreshortening and dogboning. Foreshortening per unit expansion was almost same for entire models. Strut thickness 70μ to 80μ gives better expansion characteristics for the model under study
Enhanced Gesture Recognition Text to Speech Browser for Visually Challenged
Authors:   Information Technology, Veltech Multitech Dr. Rangarajan Dr. Sakunthala Engineering College, Chennai (Tamil Nadu) India, Khanna M. Rajesh , Selvan C. Thirumalai ,   Department of CSE, Sri Indu Institute of Engineering and Technology, Sheriguda, Ibrahimpatnam (Telangana) India.
Published: January 2020

Web has understood an astonishing change in human access to learning and information. The need of plotting an upgraded program for the ostensibly tried. The present structure helps the apparently tried people to use the information in the web satisfactorily, by changing over the substance in the site page to voice for their better use. The customer can look through the substance and indispensable information from the web by simply composing the URL. The site page substances are removed by JSOUP HTML parser. The isolated substance will be scrutinized out by Text to Speech (TTS) engine. The weights in this system are the apparently tried need to type URL the required in the change box, there are no contrasting options to control TTS and there are no decisions for investigating through site pages. The proposed structure is to arrange talk affirmation engine.