bluuebunny/crossref_metadata_2025 huggingface dataset:
Important Feature Selection for Predicting Human Freedom Index Score using Machine Learning Algorithms
Authors:   pursuing Master of Computer Applications in Department of Computer Science,GIS, GITAM (Deemed to be University), Viskahapatnam, India,, Kumari* Poonam , Vagolu S Prasad Babu ,   Assistant Professor in Department of Computer Science, GIS, GITAM (Deemed to be University), Viskahapatnam, India, Chandolu Sunil ,   Assistant Professor in Department of Computer Science,GIS, GITAM (Deemed to be University), Viskahapatnam, India
Published: May 2020

Human freedom index refers to the state of human freedom in various countries based their personal and economic attributes. Human freedom can help us identify nobility of citizens in a country. For an individual of a country freedom is of great value and hence it is worthy to measure. Though there are many attributes to measure the human freedom index both in personal as well as in economic factors, here we are interested to find only those features which contribute the most and are relevant to predict the outcome i.e. human freedom index score. We will go through various features engineering process like removing strongly correlated attributes, filtering method using Mutual Information (Entropy) and then use Select KBest algorithm to select top features filtered through Mutual information. These steps will help reduce the training time, increase accuracy and reduce overfitting when model is created to predict the human freedom index score which is a Machine Learning Regression problem.
Energy Efficient Distributed Cooperative Cluster Based Communication Protocol in Wireless Sensor Networks
Authors:   Assistant Professor, School of Computing, Department of Computer Science and Engineering, Vel tech university, Avadi., Durgadevi* Dr.P. , Veeramakali Dr. T. ,   Assistant Professor, School of Computing, Department of Computer Science and Engineering, Vel Tech University, Avadi., Glory Ms. M. Sherine ,   Assistant Professor, Department of Computer Science and Engineering, Rajalakshmi Engineering College, Chennai.
Published: May 2020

Theoretical Energy imperative in remote sensor systems has gotten an expanding research enthusiasm for late years. Radio abnormality, channel blurring and obstruction brings about bigger vitality utilization and inertness for packets transmission over remote channel. One late innovation that can possibly drastically increment the channel limit and lessen transmission vitality utilization in blurring channels is helpful correspondence. The expansion in the direct limit brings about diminished blunder rate. In this paper, one agreeable correspondence method is proposed by developing vitality effective sending and getting bunches for each jump. It comprises of two stages to be specific routing stage, selecting and-transmitting stage. In the routing stage, the underlying way between the source and the sink hubs is found. In the second stage, the hubs on the underlying way progress toward becoming group heads, which select extra contiguous hubs with most minimal vitality cost from their neighborhood then the bundle is transmitted from the sending bunch to the recently settled accepting bunch. The recreation comes about demonstrate that the decrease in mistake rate and the vitality funds convert into expanded lifetime of helpful systems.
Medical Diagnostic Systems for Breast Cancer
Authors:   Assistant Professor, School of Computer Science and Engineering, Lovely Professional University, Punjab., Rakhra* Manik , Kaur Mandeep ,   Pursuing M. Tech in School of Computer Science and Engineering, Lovely Professional University, Punjab., Singla Jimmy ,   Associate Professor, School of Computer Science and Engineering at Lovely Professional University, Punjab.
Published: May 2020

Breast Cancer is one of the diseases where females have the highest mortality rate. Early detection is the way to diminishing the rate and helps increase the lifespan of suffering patients. Mammography is the method of using low energy X-rays for examination and screening the human breast. A team of radiologists required for the analysis of mammograms, but even experienced experts can misjudge in their evaluation.so Computer-Aided Detection (CAD) systems are having more pervasive for the purpose. There are various abnormalities, including micro-calcifications, are identified from mammograms. This study takes a look at all techniques that are helpful in detecting calcification. Several works of literature have been reviewed to explore and learn the outstanding way in different cases and situations for the sensing of classification in cancer of breast.
Options for Utilization of Tannery Sludge
Authors:   Assistant Professor (S.G), Dept. of Civil Engineering, SRM Institute of Science and Technology, Chennai-600089, India, Jothilingam* M. , Paul Pratheeba ,   Professor, Dept. of Civil Engineering, Hindustan Institute of Technology and Science, Chennai-603103, India, Janardhanan G. ,   Associate Professor, National Institute of Technical Teachers Training and Research, Chennai-600113, India
Published: May 2020

At global level, the India has amassed the largest livestock and their skins and hide are used for the manufacture of large scale leather and 75% of tanneries in India are the small scale tanneries. The leather industry in India with annual turnover of more than 12 Billion dollar has a cumulative annual growth of about 3.09% in the last five years and 2nd highest manufacture of footwear and garments in the entire world, which leads to foreign exchange. Tannery sludge generation about 150000 TPA causes chromium pollution and contaminates water bodies & soil and risk to eco-system. Further, that affects the agricultural productivity and therefore, Tannery has been classified under the red category. The Supreme Court finding of fact resulting in the closure of polluting tanneries has led to unemployment problem and affecting national GDP. The present tannery sludge disposal methods like Composting, landfill, anaerobic digestion systems are not providing the satisfactory result. Reuse of industrial waste is advocated worldwide and in some of the countries as a remedial measure solidification and stabilization concept is adopted for reducing heavy metals from industrial waste. In this review the outcome of various research on the properties natural clay, ceramic and cement based stabilization of the tannery sludge has been discussed and the research gap is also identified .
Kinematic Analysis of Polydyne Cam Profile of A Diesel Engine
Authors:   Department of Mechanical Engineering, ITM University Gwalior, Rajput* Rajendra Singh , Gangele Anshul ,   Department of Mechanical Engineering, Sandip University, Nashik (India), Kushwah Arun Singh ,   Department of Mechanical Engineering, ITM University Gwalior
Published: May 2020

This research paper tends to have an insight into the dynamics of cam and tappet of diesel engine which is supposed to work continuously for a longer period under huge variable loads to operate the valves of an internal combustion engine. The dynamics of valve gear train is so elemental in the due functioning of an engine. In this research, the analysis of five-order polynomial cam has been done to find the profile of displacement, velocity, acceleration and jerk for the suitability of diesel engines. The MATLAB software has been used as the vital aid in this analysis. This insight would sure be helpful in improving the mechanism of cam profile generation leading to betterment of camshaft design so as to increase the overall efficiency of the engine.
Time & Light Dilation in Black Hole-An Understanding of the Known and Unknown Facts
Authors:   Director, Haldia Institute of Man-agement, Haldia,721657, India., Bandyopadhyay* Prof. (Dr.) S.N. , Tiwari Miss. Puja ,   Assistant Professor, Haldia Institute of Manage-ment, Haldia,721657, India., Bandyopadhyay Prof. (Dr.) M.N. ,   Director, Haldia Institute of Tech-nology, Haldia, 721657, India., Maity Prof. (Dr.) S.K. ,   Inspector of Colleges, Maulana Abul Kalam Azad University of Technology, Kolkata,700064, India,
Published: May 2020

Understanding time has been quite a challenge for human being. Though we in general understand time but its im-plication for physics and the universe just make things very murky. In this paper we will discuss what is the relevance of time in the study of astronomy and how it impacts the Universe. The great physicist Einstein has to be credited for introducing Time as one of the dimensions and after that the whole concept of looking into time has totally changed. We have understood space and time have an integral collaborative part to play in the vast Universe. Not only that through general relativity we have seen how time interacts with gravity and how time can be distort-ed by gravity. From the simple watch on our hand time has taken a great leap and made a mark of its own. Not to say the behav-iour of time in certain celestial bodies still makes us wonder are we missing some aspect of time. Time acts peculiarly inside a Black Hole and forget Singularity as the concept itself puzzles our knowledge of physics. The concept of time as one of the di-mensions has opened a lot of new avenues of re-search but also has bought with its lot of unanswered questions. It does not stop here when we try to analyse past, present and future with time though theoretically may be very easy to understand but once we add physics into its things get a bit complicated. The stars that we see in the night sky is actually past whereas the person travelling in space is future and we are present. This paper will try to see if events can be placed in time and how light brings those events into our understanding. It must be understood that any event that is observed by human beings is due to the fact that light is falling on that object. In Big Bang several events happened in the beginning before the commence-ment of photon or light that does not mean time had not started. So, it is clear that light and time is not correlated though for hu-man beings to look into an event light is of course needed. This paper will try to analyses the time and light dilation in a Black Hole and how that influences the concept of time. Also, this paper will try to understand how much more research is re-quired to understand the whole concept of light, time and Black Hole.
Emerging Trends in Teaching and Learning with ICT and Barriers in ICT
Authors:   Asst.Prof. Computer Science Govt.College Hoshiarpur,Punjab Pin -Code-146001 India, Singh* Dr.Jaswinder
Published: May 2020

This paper is about the concept of information communication technology its role, importance, usage in teaching and learning. The field of ICT joins science and technology .it contains the package of computer tangible and intangible items, cell phones and telecommunication, web, internet, guided and unguided media, digital cameras, artificial intelligence and the rest. It combines the field of computer and information science tremendous and speedily growing knowledge base that is developed by researchers and scholars. ICT has declared to be beneficial in solving problems in teaching, learning, education and related field. There are two types of learning mediums. Traditional medium and ICT medium.ICT replaced the traditional medium with smart technology devices. Emerging learning tools such as podcast, blog, integrated learning module Wikipedia and m-learning have begun developing rapid strides in teaching learning processes. There are some barriers of ICT in teaching/learning process were discussed using general talk survey, unstructured interview and observations. It exposed that teacher factor, chalk and talk, inadequate funding, infrastructure, internet connectivity were some of the barriers of Information communication technology in teaching and learning process.
Response Modification Factor of Steel Frames with and Without Dampers
Authors:   Faculty of Architechture – Construction, Binh Duong University, Binhduong, Vietnam, Nguyen Huy-Vung , Pham* Thi-Kieu ,   Faculty of Civil Engineering, University of Transport and Communications, Hanoi, Vietnam.
Published: May 2020

Response modification factor (R) performs as one of the main seismic design parameters of new structures during earthquake and is considered as significant parameter of nonlinear equivalent static analysis which is a widely used method to evaluate the seismic response of a structure. A review of the literature illustrates that although various numerical studies have investigated the effect of viscous dampers on the response modification factor (R), lack of experimental study has been conducted to verify the numerical models. This study evaluates the response modification factor of steel frame with and without viscous damper. Experimental and numerical analysis have been conducted in the present research. It is found that results from finite element analysis agree well with the experimental results. Besides, the use of damper increases significantly the response modification factors of steel structures, e.g., the factor of structures with dampers are approximate 32% higher than the structures without dampers. The determined response modification factors for the different structures used in this study can be applied to conduct equivalent static analysis of buildings as an initial design stage.
Higway Criuse Control System for Vehicles using Low Power RF and Can Protocol
Authors:   Department of Information Technology, Sri Shakthi Institute of Engineering and Technology, Chinniyamplayam, Coimbatore, V* Praveena , B.S Ram Nivash ,   Department of Information Technology, Sri Shakthi Institute of Engineering and Technology, Chinniyamplayam, Coimbatore, M Maheema ,   Department of Information Technology, Sri Shakthi Institute of Engineering and Technology, Chinniyamplayam, Coimbatore, R Nandhini ,   Department of Information Technology, Sri Shakthi Institute of Engineering and Technology, Chinniyamplayam, Coimbatore
Published: May 2020

Nowadays mishaps are happening much of the time, causing destruction of numerous individuals by committing unassuming errors while driving (in school zone, slopes region, and roadways). In any case, once in a while it may not be conceivable to see the billboards put by the Highway Department to caution the drivers in such sort of spots and there is an opportunity for mishap. The headway in the processor innovation and microcontrollers has opened another framework intended to forestall the mishaps caused because of carelessness of drivers in observing rush hour gridlock flags close by the street and different abnormalities on the streets. So to suggest the driver about the zones and to consequently keep up the speed is cultivated by methods for low power RF innovation. The primary target is to plan an Electronic Display controller implied for vehicle's speed control and screens the zones, which runs on an implanted framework and can be hand crafted to fit into a vehicle's dashboard to show data on the vehicle. This framework whenever received by some state can successfully diminish the quantity of street mishaps brought about by speeding vehicles losing control of the vehicle at speed breakers or by driver's carelessness towards traffic signals. This paper presents another structure to control the speed of the vehicles at clumsy zones and security zone places for fixed time. The undertaking is made out of two separate units: Zone status transmitter unit, Electronic Display and Control unit. When the street sign is gotten from the zones, the vehicle's Electronic Display Controller Unit cautions the driver, to lessen the speed as indicated by the zone; it hangs tight for driver's reaction and diminishes the speed of vehicle consequently with CAN Protocol.
Disease Identification in Maize Plant Leaf
Authors:   Professor, Dept. of CSE, Koneru Lakshmaiah Education Foundation, Green Fields, Vaddeswaram, Guntur (Dt) 522005, Andhra Pradesh India., Rao* Dr. G.Siva Nageswara , Reddy Ch. Sasi Kiran ,   Student, B. Tech in Computer Science and Engineering Department. Koneru Lakshmaiah Education Foundation, Green Fields, Vaddeswaram, Guntur (Dt) 522005, Andhra Pradesh., Sai M. Vamsi Krishna ,   Student, B. Tech, Computer Science and Engineering Department. Koneru Lakshmaiah Education Foundation, Green Fields, Vaddeswaram, Guntur (Dt) 522005, Andhra Pradesh, Hussain Sk Javed ,   Student, B. Tech, Computer Science and Engineering Department. Koneru Lakshmaiah Education Foundation, Green Fields, Vaddeswaram, Guntur (Dt) 522005, Andhra Pradesh
Published: May 2020

Agricultural productivity is that issue there on Indian Economy extremely depends. this is often the one altogether the reasons that malady detection in plants plays a really important role within the agriculture field, as having the malady in plants are quite natural. If correct care isn't taken during this space then it causes serious effects on plants and since of that various product quality, amount or productivity is affected. Detection of disease through some automatic technique is useful because it reduces an oversized work of watching in huge farms of crops, and at terribly early stage itself detects the symptoms of diseases means after they appear on plant leaves. This paper presents a neural network algorithm for image segmentation technique used for automatic detection still because the classification of plants and survey on completely different diseases classification techniques which will be used for plant disease detection. Image segmentation, that is a really important facet for malady detection in disease is completed by victimization genetic algorithm.
Signal Sensing on Heavy Goods Vehicle (Hgv) Blind Spot Area for Construction Logistics
Authors:   Faculty of Build Environment, Universiti Teknologi Malaysia, Johor, Malaysia., Hamid* Zuhra Junaida Mohamad Husny , Tuntrakool Sunti ,   Department of Engineering Education, Faculty of Industrial Education and Technology, King Mongkut's Institute of Technology Ladkrabang., Illyas Tan Mohd. Iskandar ,   Azman Hashim Business School, Universiti Teknologi Malaysia, Johor, Malaysia.
Published: May 2020

This paper will explore the issues and the causes of accidents contributed by heavy goods vehicles (HGV) specifically instigated by blind spot. A blind spot is an area or zone that cannot be directly observe by the truck driver on their side mirror. Unfortunately, due to this, high number of accidents had happened because of HGV drivers were not alert or aware of another road user or pedestrian hidden in the blind spot area. This often occurred to heavy goods vehicle drivers. The aim of this paper is to understand the issue of HGV blind spot and identify the potential use signal sensing as an alert mechanism for the blind spot of a heavy goods vehicles. This is to detect other road users who are in the dangerous distance of the HGV. This study has revealed the holistic understanding of HGV blind spot issues and problem by finding the answer for research question initially outlined.
Blast Response of Steel and Cast Iron Circular Pipe Sections Under Explosive Impact using ls - Dyna
Authors:   Assistant Professor, Department of Civil Engineering, Sri Vasavi Engineering College, Tadepaligudem, W. G. District, Andhra Pradesh, Prasad* P.N.V. Durga , Babu N. Veerendra ,   Assistant Professor, Department of Civil Engineering, Srinivasa Institute of Engineering and Technology, Cheyyuru, Amalapuram, Andhra Pradesh, Kumar K. Harish ,   Assistant Professor, Department of Civil Engineering, Lakireddy Bali Reddy College of Engineering, Mylavaram, Krishna District, Andhra Pradesh
Published: May 2020

There has been an immense significance of sparing structures like pipe structures which exchange oil and gas, blasts on these pipe lines may intrude on the transmission. In the current decades a lot of research is done to think about the auxiliary reaction under impact loads. Oil and gas companies must do all they can to ensure a steady supply of product to distributors and consumers. An infrastructure of pipes that carry oil and gas across the country and around the world is, therefore, essential. Parts such as piping materials, pipe shoes, and wear pads, must be durable and resilient, so maintenance and repairs do not interrupt the supply of product. Pipes are made of steel in these days as they have corrosive resistance and a strong and reliable material. Cast iron pipe is a pipe which has had historic use as a pressure pipe for transmission of water, gas and sewage, and as a water drainage pipe during the 19th and 20th centuries. The paper depicts the comparison of vonmisses stress and pressure of pipes made up of steel and cast iron subjected to different blast loads and the simulation is carried out using LS-Dyna software
Detection of Fraud in Mobile Advertising using Machine Learning
Authors:   Assistant professor, IT department of SRM Institute of Science and Technology., Sathyabama* B. , Singh Harshita ,   Pursuing bachelors, Information Technology, Chennai., Goraya Harshit ,   Bachelor's in Information Technology,SRM Institute of Science and Technology, Vira Aman ,   Student at SRM Institute of Science and Technology with an extensive background in Information Technology
Published: May 2020

With ongoing advancements in the field of technology, mobile advertising has emerged as a platform for publishers to earn profit from their free applications. An online attack commonly known as click fraud or ad fraud has added up to the issue of concerns surfacing mobile advertising. Click fraud is the act of generating illegitimate clicks or data events in order to earn illegal income. Generally, click frauds are generated by infusing the genuine code with some illegitimate bot, which clicks on the ad acting as a potential customer. These click frauds are usually planted by the advertisers or the advertising company so that the number of clicks on the ad increases which will give them the ability to charge the publishers with a hefty sum per number of clicks. A number of studies have determined the risks that click fraud poses to mobile advertising and a few solutions have been proposed to detect click frauds. The solution proposed in this paper comprises of a social network analysis model – to detect and categorize fraudulent clicks and then test sample datasets. This social network analysis model takes into consideration a wide range of parameters from a large group of users. A detailed study is conducted for analyzing these parameters in order to separate the parameters, which affect the click fraud generation process largely. These parameters are then tested and categorized into sample datasets. The mobile advertising industry forms a large part of the revenue generated by the advertising industry. Hence, detection of click fraud in mobile advertising is important to ensure that no illegitimate sources are used to generate this revenue. To be precise, the proposed method touches an accuracy of about 92%.
Intelligent Framework for Task Maintenance and Appraisal
Authors:   Pursuing Ph.D, Anna University, Chennai, India., G* Selvakumar , R Deepthi ,   UG Student,Department of Computer Science and Engineering, Sri Shakthi Institute of Engineering and Technology., kumaar K Dinesh ,   UG Student,Department of Computer Science and Engineering,Sri Shakthi Institute of Engineering and Technology., V Harini ,   UG Student, Department of Computer Science and Engineering, Sri Shakthi Institute of Engineering and Technology., Nikhita Kosuri ,   UG Student,Department of Computer Science and Engineering,Sri Shakthi Institute of Engineering and Technology.
Published: May 2020

To provide an application that would monitor task status and to produce a report for each progress. Designating the number of tasks to every employee based on the project list while in the meantime, to screen the status of every working task and to provide the task report for the completed task. Using the Django framework monitoring the completion time( in hours) of each individual task and by viewing the media uploaded report will be generated. By this report, we will able to predict each and individual employee’s working skills and efficiency, with this we will be able to foresee what sort of undertaking does the specific worker can complete inside cutoff time. For each Information Technology based organization this framework ought to be obligatory in light of the fact that it is valuable during the examination of the organization. For the culmination of the task, it requires more noteworthy the ability to do it well. More prominent proficiency requires lesser time and a high ability to finish the errand.
Collision Mitigation Algorithm for Space Base Ais System
Authors:   M.tech Computer Engineering, Charotar University of science & technology, Changa, Gujarat, India., Parmar* Nayna , Bhatt Nikita ,   Assistant Professor, Department of Computer Engineering, CHARUSAT University, Changa, Gujarat,India.
Published: May 2020

Automatic Identification System gain demand and liking to be installed in navigational frameworks for collision mitigation due to more extensive inclusion. The as of late created satellite Automatic identification system gives better exactness than the prior utilized Terrestrial Automatic identification system. Space based Automatic identification system uses GMSK to regulate the message. The regulated Automatic ID System message is then transmitted & gotten among boats & satellite Automatic ID System over self-organize time division multiple access medium. The regular single axis spacecraft Autometic ID System receiver failed to decode the message precisely due to message cover. Using GMSK demodulation, filter and concept of Viterbi algorithm will try to obtain original message from cover message. In this paper Interference cancelation algorithm implementation corrects the covered AIS message and decode the obtain data. The receiver, transmitter, & Interference cancelation are sketched in very high-speed description language (VHDL) Language.
CRONE Control Strategy for Air Pressure System
Authors:   Assistant Professor, Department of EIE, Arunai Engineering College, Tamilnadu, India., Velmurugan* V. , Praboo Dr.N.N. ,   Assistant Professor, Department of EIE, Annamalai University, Tamilnadu, India.
Published: May 2020

Pressure process in industry is inevitable and is considered with foremost importance in many processes like boilers, pressure vessels, reactors, closed vessels, steam drums and flash points. Pressure measurement and control is important requirements of all process, since it is related to safety of the human resources and equipment. So in this work an Air Pressure System (APS) is considered for investigation. Over the years an increasing attention made on fractional order controller and dynamic systems using fractional order calculus. Its theoretical and practical interests have been confirmed today, and its relevance to engineering society can be think carefully about as developing scientific avenue. This project discusses the design and implementation of generations of CRONE controller for APS. The Mathematical model of APS is determined from the various operating regions by using worst case modeling technique. The three generations of the strategy of CRONE control are designed based on worst case model. Simulation runs of set point tracking responses are documented. The time domain and integral error indices performances are obtained and compared on strategies of the generation CRONE controller. It is noticed that Third Generation CRONE (TGC) controller outperforms provide better performance than the other generations of CRONE controller.
The Effect of Doping on Different FET Structures: MOSFET, TFET and FinFET
Authors:   Student, Dept. of Electronics and Communication, Punjab Engineering College, Chandigarh, Chandigarh (Deemed to be University), Goel* Anjali , Prakash Neelam Rup ,   Professor, Dept. of Electronics and Communication, Punjab Engineering College, Chandigarh, (Deemed to be University)
Published: May 2020

MOSFET have been scaled down over the past few years in order to give rise to high circuit density and increase the speed of circuit. But scaling of MOSFET leads to issues such as poor control gate over the current which depends on gate voltage. Many short channel effects (SCE) influence the circuit performance and leads to the indeterminist response of drain current. These effects can be decreased by gate excitation or by using multiple gates and by offering better control gate the device parameters. In Single gate MOSFET, gate electric field decreases but multigate MOSFET or FinFET provides better control over drain current. In this paper, different FET structures such as MOSFET, TFET and FINFET are designed at 22nm channel length and effect of doping had been evaluated and studied. To evaluate the performance donor concentration is kept constant and acceptor concentration is varied.
Automatic Train Protection (ATP) and Signaling with Accident Avoidance System for Indian Railways
Authors:   Department of Electronics & Communication Engineering, Teerthanker Mahaveer University, Moradabad, UP, India., Singh* Sakshi , Kumar Jitesh ,   Department of Electronics Engineering, TeerthankerMahaveer University, Moradabad, UP, India.
Published: May 2020

Automatic Train Protection (ATP) and signaling with accident avoidance system for Indian Railways is proposed in this paper which aims to develop p a prototype of a safety system for unmanned level crossing areas and to avoid train accidents due to collisions and obstacles. The system consists of two Arduino Uno boards, two IR Sensors, two traffic lights on both sides of the track, servomotor controlled gate and an ultrasonic sensor to stop the train in case of any obstacle in front of running train .According to the INDIAN RAILWAYS ANNUAL REPORT AND ACCOUNTS 2014-15 [1] the main cause of accidents were carelessness on unmanned level crossings and the number of injured and killed were maximum due to this reason mentioned in [1]. The proposed system has automatic traffic light signaling on both sides of the track which indicates the traffic to stop while the train is moving and the gates on both sides of the track will automatically close to stop the transport and open after train crosses the other end. The proposed system will also provide safety for train collisions. This logic was applied in Embedded C and programmed to the Arduino Uno.
An Efficient Accident Rescue System using Lora
Authors:   Department Of Electronics and Computer Engineering, K. L. University., Ramesh* N.V.K , Bhagiradh V. ,   Department Of Electronics and Computer Engineering, K. L. University., Indravathi K. ,   Department Of Electronics and Computer Engineering, K. L. University., Reddy M.Leena ,   Department Of Electronics and Computer Engineering, K. L. University., Raju B. Deevena ,   Faculty of Science and Technology, ICFAI Foundation for Higher Education, Hyderabad, India.
Published: May 2020

The road fatalities in India are increasing exponentially. These road fatalities have high impact on any country. The life of the injured person can be saved by providing the medical assistance. The traditional methods mainly concentrate on the transmission of the messages using the cellular network. The methodology of this project is to identify the location of the accident prone area and send that coordinates to the nearest medical help centers. The communication takes place between the rider and the system with the help of the Bluetooth device. GPS device is very well-known for the identification of the current location. The coordinates of the accident prone area will be extracted using GPS. The latitude and longitude coordinates of different hospitals will be stored in the database. The coordinates of the accident prone area and the coordinates of hospitals in the database can be mapped and the distance between them can be calculated. The coordinates of the nearest hospitals can be recognized and the communication can be established with that hospital.
Unified Power Quality Conditioner using PV Fed SVPWM based Multilevel Converters for Power Quality Improvement
Authors:   Department of Electrical and Electronics Engineering at Mahatma Gandhi Institute of Technology, Hyderabad, India., Sekhar* P. Chandra
Published: May 2020

This paper presents a solar photovoltaic based unified power quality conditioner (PV-UPQC). The proposed system consists of a shunt compensator (ShC), series compensator (SeC) and PV array connected in parallel to a common dc-link. A three-level diode clamped multilevel inverter configuration is used as shunt and series converters. The SVPWM technique provides reduction in the common mode voltage and the balancing of the dc link voltage. The shunt compensation converter extracts power from PV array and provides compensation for load harmonic currents. The series compensation converter compensates for the power quality (PQ) problems such as grid voltage sags/swells and source harmonic voltages. The proposed system utilizes space vector pulse width modulation (SV-PWM) in multilevel converter topology for the mitigating the power quality problems using PV-UPQC. The proposed system improves PQ and also utilize RES, it also simultaneously improves both current and voltage disturbances. The performance of the system is analyzed in MATLAB/Simulink for nonlinear load conditions.
Me Too Movement Sentiment Analysis
Authors:   Professor, Department of Computer Science and Engineering, Mahatma Gandhi Institute of Technology, Hyderabad, India., Bai* Dr M Rama , Kuna Ms.Charishma ,   Student, Department of Computer Science and Engineering, Mahatma Gandhi Institute of Technology, Hyderabad, India., Sreedevi Mrs. J. ,   Assistant Professor, Department of Computer Science and Engineering, Mahatma Gandhi Institute of Technology, Hyderabad, India, Shantha Dr G. ,   Assistant Professor, Department of Mathematics & Humanities, Mahatma Gandhi Institute of Technology, Hyderabad, India.
Published: May 2020

Sentiment Analysis (SA) is a current field of study in text mining. The subjectivity of text, sentiment, and opinions are treated computationally by SA. This study examines the sentiment of the tweets containing “#metoo”. As a comparison, the same analysis was performed on the MenToo movement. MeToo started picking up significance in India with the expanding ubiquity of the global development, and later gathered sharp force in October 2018 in the film business of Bollywood, focused in Mumbai, when Tanushree Dutta blamed Nana Patekar for lewd behavior. An Indian filmmaker has joined calls for the development of a “#MenToo” movement for men’s rights, saying it should be “as important as #MeToo. This case study gathers around 20,000 tweets from the major cities of India for the duration of a week. Tweets were analyzed through the ‘sentiments’ dataset of tidytext (afinn, bing, nrc) and RSentiments dataset. The goal was to understand the overall sentiment better and find the associated patterns. With the hashtag analysis, it can be seen that #metoo was associated with the film industry, whereas #mentoo was more rooted in the cause. The comparison of likes and retweets shows that the #metoo movement has over 70% more engagement than #mentoo.
Optimization of Feature Loss for Image Enhancement
Authors:   Bachelor of Technology, Computer Science and Engineering at SRM Institute of Science and Technology, Kattankulathur, Burman* Vishal , Sriram Harshinee ,   Bachelor of Technology, Computer Science and Engineering at SRM Institute of Science and Technology, Kattankulathur, Kiruthika S. Usha ,   Assistant Professor, Department of Computer Science and Engineering in SRM Institute of Science and Technology, Kattankulathur
Published: May 2020

Image-transformation problem is a problem in which an input image is transformed to an output image. In most of the recent methods, a feed-forward neural network is defined which utilizes per-pixel loss between the output image and the ground-truth image. In this paper we have showcased that high-quality images can be generated by defining a feature-loss function which is based on high-level perceptual features extracted from pre-trained convolutional networks. We have combined both the approaches that have been formerly mentioned and have proposed a feature-loss function for training a feed-forward neural network capable of image transformation tasks. We have compared out method with that of an optimization based approach, similar to the one utilized in Generative Adversarial Networks (GANs) and our method produced visually appealing results whilst fully capturing the intricate details of the object in the image.
Impact of Shape and Size of Catalysts on the Physical Properties and Pressure Drop in Fixed Bed Catalytic Systems
Authors:   Department of Chemical Engineering, School of Engineering, Cochin University of Science and Technology, Kerala, India., Ravindran* Kishore , Madhu Dr. G. ,   Department of Chemical Engineering, School of Engineering, Cochin University of Science and Technology, Kerala, India.
Published: May 2020

Catalyst shape and size selection is an important aspect of the industrial catalyst design. Shapes of different sizes were made using alumina and characterized using standard methods used in the industry. Tableting machine, extruder and granulating equipment were used for forming different catalytic shapes. The samples were characterized by BET surface area, pore volume (N2 adsorption and water pick-up) and the sphericity & voidage calculations were performed for different alumina shapes. The physical strength and bulk density of the shapes were analyzed using ASTM methods. Spheres exhibited highest pore volume as the forming process exert minimum external force to the material. BET Surface area of all the samples were found comparable. The impact of different shapes and sizes on the pressure drop across the bed was studied for different gas flow rates using a fixed bed reactor set-up. Sphericity & voidage were calculated for different shapes and sizes and a modified Ergun equation was used for theoretical evaluation of the pressure drop. The experimental & theoretical results were compared and the relative error was noted. The study showed how the theoretical and experimental values differ as non-ideality in the flow across the packed bed increases. For special shapes like trilobe extrusions, improved voidage helps to minimise the pressure drop across the bed.
Analysis of Engine Support Bracket for Frequency and Stress Optimization
Authors:   Dept. of Mechanical Engineering, SSSUTMS, Sehore, Bhopal, M.P, India, Chaudhary* Paresh G , Selokar Dr.G.R. ,   Professor and Registrar in SSSUTMS, Sehore, Bhopal, M.P, India.
Published: May 2020

In this paper we present new step by step approach for analysis of engine bracket. As we know all engine shocks are supported by engine brackets for heavier engines. Being a critical Component engine bracket must be analyzed properly as it forms a link between stiff chassis and vibrating engine. Complex design of engine bracket demands for proper step by step analysis as it is equivalent complex component as engine, cooling system, transmission system, battery, turbo etc. This present work focuses on the investigation of engine supporting bracket by using ANSYS. This current article accounts for review of the work that has been previously done on engine supporting bracket. This paper will result in suggesting the best suitable material for such complex material and best suitable geometrical options for in depth analysis. In initial stage of analysis three usual industrial materials are taken into account and suggesting best suitable material for industrial applications in all aspects.
Detection of Foreign Materials in Wheat Kernels using Boundary Descriptors
Authors:   Department of Electronics and Communication Engineering, SLIET Longowal, 148106, India, Julka* Neeraj , Singh A.P ,   Department of Electronics and Communication Engineering, SLIET Longowal, 148106, India
Published: May 2020

The present paper reports the development of a machine vision system for quality inspection of wheat using kernel shape attribute. Shape attribute of agricultural products including wheat kernels is extremely difficult to quantify in digital computation. A new method is proposed in the present work to quantify shape attribute of wheat kernels using regional boundary descriptors. Recognition task in the proposed machine vision system is carried out by neural classifier trained with Levenberg-Marquardt (LM) based supervised learning. Proposed neural classifier was executed using feed-forward back-propagation based three layer artificial neural network. Experimental results indicate more than 98.1% overall average classification accuracy for the involved wheat and impurity elements in the present work. The results of present study are quite promising and the proposed machine vision system has potential future for on-line inspection of agriculture produce in real time environment.
Terpolymeric Nanocomposites of Silver for Wound Healing Applications
Authors:   Department of applied science and general engineering, Army Institute of Technology, Pune, Maharastra, Tiwari* Dr Seema , Jain Dr Nidhi ,   Engineering Science Department, Bharti Vidyapeeth,Lavale,Pune,Maharastra, Aniket  ,   Department of mechanical engineering , Army Institute of Technology, Pune, Maharastra
Published: May 2020

In the present work, silver nanoparticle, sodium alginate, chitosan and gelatin are used to form nanocomposite films and films have been prepared for wound healing application. These films have been characterized by Fourier transform infrared (FTIR) spectroscopy, X-ray diffraction (XRD), Scanning electron microscopy (SEM) and an antibacterial study of the sample. The dynamic release data were interpreted with various kinetic models. These film has shown remarkable antibacterial property against E.Coli, thus offering their candidature for the application in the near future.
Large Kerr nonlinearity in PdSe2 2D films
Authors: jia linnan , Wu Jiayang , Jiao Baohua , Yang Tieshan , Moss David
Published: May 2020

We
report a large third-order nonlinear optical response of palladium diselenide
(PdSe2) films – a two-dimensional
(2D) noble metal dichalcogenide material. Both
open-aperture
(OA) and closed-aperture (CA) Z-scan measurements are performed with a
femtosecond pulsed laser at 800 nm to investigate the nonlinear absorption and
nonlinear refraction, respectively. In the OA experiment, we observe optical
limiting behaviour originating from large two photo absorption (TPA) in the
PdSe2 film of β = 3.26 × 10-8
m/W. In the CA experiment, we measure a peak-valley response corresponding to a
large and negative Kerr nonlinearity of n2
= -1.33×10-15 m2/W – two orders of magnitude larger than
bulk silicon. We also characterize the variation of n2 as a
function of laser intensity, observing that n2
decreases in magnitude with incident laser intensity, becoming saturated at n2 = -9.96×10-16 m2/W
at high intensities. These results verify the large third-order nonlinear
optical response of 2D PdSe2 as well as its strong potential for
high performance nonlinear photonic devices.
Speech-To-Text (STT) based mobile apps can aid Citizen Reporting Program (CRP) to reduce reckless driving in resource-constrained situations
Authors: Singh Bhanu Pratap , Singh Nirvisha
Published: May 2020

Most of the data gathering devices used for monitoring driver’s behavior
require large storage, strong cellular signals, and unlimited internet.
Touching mobile devices, during driving, is prohibited by many law enforcement
agencies. There are situations, especially in developing countries, where people
get stuck on roads with a low battery, low device-memory, and no mobile
network. The drivers in such situations are not able to
report against reckless drivers effectively. This paper proposes the
framework of the “citizen reporting program” (CRP) aided with mobile apps to
reduce reckless driving in such resource-constrained
situations (RCS). A mobile app was designed, developed, and tested as a
tool for this purpose. It could convert speech to text without a cellular
network, capture the nearest geolocation, and send data to a server on the network
or internet availability. We tested its reliability for converting speech to
text and got a “word error rate” (WER) of less than 5%. We tested its
functional usability and got a score of more than 71% on the system usability scale (SUS). The survey
showed a favorable response of 70 plus % in reducing reckless driving via CRP
in RCS if aided with mobile apps.
A Fast - Algorithmic Probabilistic Evaluation on Regional Rate of Change of Frequency (RoCoF) for Operational Planning of High Renewable Penetrated Power Systems
Authors: Wen Jiaxin , Bu Siqi
Published: May 2020

The high rate of change of frequency (RoCoF) issue incurred
by the integration of renewable energy sources (RESs) into a modern power
system significantly threatens the grid security, and thus needs to be
carefully examined in the operational planning. However, severe fluctuation of
regional frequency responses concerned by system operators could be concealed
by the conventional assessment based on aggregated system frequency response.
Moreover, the occurrence probability of a high RoCoF issue is actually a very
vital factor during the system planner’s decision making. Therefore, this paper
proposes a fast-algorithmic evaluation method to determine the probabilistic
distribution of regional RoCoF for the operational planning of a RES penetrated
power system. Firstly, an analytical sensitivity (AS) that quantifies the
relationship between the regional RoCoF and the stochastic output of the RES is
derived based on the generator and network information. Then a linear
sensitivity-based analytical method (LSM) is established to calculate regional
RoCoF and the corresponding probabilistic distribution, which takes much less
computational time when comparing with the scenario-based simulation (SBS) and
involves much less complicated calculation procedure when comparing with the
cumulant-based method (CBM). The effectiveness and efficiency of the proposed
method are verified in a modified 16-machine 5-area IEEE benchmark system by
numerical SBS and analytical CBM.
Penerapan Algoritma Spatial Map Matching Dengan API Menggunakan GPS Untuk Posisi Tumpangan Kendaraan
Authors: Zayid Farhan , Ferdiana Egi
Published: May 2020

Di kota pariwisata seperti  Kota Bogor, kemacetan lalu lintas sudah tidak terdengar asing lagi di telinga masyarakat Kota Bogor. Diperlukan solusi untuk mengatasi permasalahan kemacetan lalu lintas yang disebabkan oleh jumlah kendaraan yang melebihi kapasitas jalan. Pada penelitian ini dibangun aplikasi Neon yaitu jejaring sosial berbasis perangkat komunikasi bergerak yang memudahkan berbagi kendaraan dalam tujuan perjalanan yang sama. Penelitian ini penulis menerapkan suatu algoritma yaitu Algoritma Spatial Map Matching yang fungsinya sebagai penentuan titik koordinat yang presisi pada rute perjalanan yang ditampilkan pada maps digital yaitu Google Maps. Berdasarkan hasil pengujian kelayakan yang telah disimpulkan bahwa secara fungsional seluruh proses pada aplikasi penerapan Algoritma Spatial Map Matching sebagai cara penentuan titik koordinat yang presisi untuk aplikasi tumpangan kendaraan telah berjalan sesuai yang diharapkan. Sebagaimana dari 15 data titik yang ditentukan, data jarak dari penerapan Algoritma Spatial Map Matching lebih dekat dibandingkan dengan data jarak aplikasi sebelumnya (nebengers) terhadap posisi tempat/jalan terdekat yang sudah ditentukan yaitu dengan rata-rata jaraknya 1.71 Meter. Sedangkan hasil selisih jarak yang dihasilkan memiliki jarak yang cukup jauh antara jarak data dari posisi titik pada aplikasi sebelumnya (nebengers) dengan posisi titik yang sudah diterapkan Algoritma Spatial Map Matching. Dapat disimpulkan bahwa Algoritma Spatial Map Matching dapat menentukan titik posisi yang lebih presisi dengan persentase kelayakan penelitian sebesar 82.85%