bluuebunny/crossref_metadata_2025 huggingface dataset:
Self Intelligence with Human Activities Recognition based on Convolutional Neural Networks
Authors:   (UG),Department of Information Technology, SRM Institute of Science and Technology, Ramapuram Campus, Chennai., Jayaraj R. , Agarwal Karishma ,   Student, Department of Information Technology, SRM Institute of Science and Technology, Ramapuram Campus, Chennai., Singh Utkarsh ,   Student, Department of Information Technology, SRM Institute of Science and Technology, Ramapuram Campus, Chennai., Singh Aparna ,   Student, Department of Information Technology, SRM Institute of Science and Technology, Ramapuram Campus, Chennai.
Published: May 2020

In the presented paper, we propose a strategy related to activity recognition of human from profundity maps as well as sequences stance information using convolutional neural systems. Two information descriptors will be utilized for activity portrayal. The main information is a depth movement picture which will store back to back depth motion images of a human activity, whilst the subsequent data is the proposed moving joint description feature which conveys the movement of joints after time instants. To boost highlight extraction for precise activity arrangement, we will use three networked channels prepared with different inputs along with hypothesis verification. The activity results produced from those channels are intertwined for last activity characterization. Here, we suggest a few combination score based tasks to amplify the weightage of the correct activity. The experiments reveal the aftereffects of intertwining the yield of those channels along with the hypothesis are superior to utilizing a single channel or intertwining more than one channel in particular. The technique was assessed on two open databases which are Microsoft activity dataset and the second one is taken from University of Texas . The results demonstrate that our method beats the vast majority of existing cutting edge techniques, for example, histogram of arranged 4-D normal in datasets. Albeit DHA dataset has high number of activities (38 activities) contrasted with existing activity datasets, our paper outperforms a cutting edge strategy on the dataset by 6.9%.
Traditional Cloth Production Techniques in Assam
Authors:   Minakshee Boruah, Ph.D. Research Scholar, Cotton University, Guwahati, Assam, Boruah Minakshee , Chutia Fancy ,   Fancy Chutia, Ph.D. Research Scholar, Visva Bharati University, West Bengal, Bolpur, Singha N. Tamna ,   N.Tamna Singha, M.Phil Scholar, Mahapurusha Srimanta Sankardeva Viswavidyalaya, Nagaon, Assam
Published: May 2020

From the very ancient period, it has been witnessed that Assam has producing different types of cloths by their own styles and Assamese women are showing their skills as great weavers.Textile craft is an integral part of cultural and social life of Assam.The artists associated with textile craft i.e. the wavers contributing their efforts to continue this tradition. In this paper, we will discuss about Assam’s traditional textilecrafts,production of different textile crafts,the instrument and tools associated with textile crafts etc. in detail. Along with this we will also include Globalization and different textile crafts formed by the influence of globalization in the present time.
Finite Element Modeling in Friction Stir Welding of Two Dissimilar Pipes
Authors:   department of Production Engineering and Metallurgy, University of Technology, Akber Ahmed Ali , Khleif Ali Abbar ,   department of Production Engineering and Metallurgy, University of Technology, Hasein Abbas Nasser ,   department of Mechanical Technology/ Production, Kut Technical Institute, Middle Technical University
Published: May 2020

The Finite Element Modeling has been achieved for two dissimilar pipes welded by friction stir welding for given operating conditions and cases. Moreover, this analysis has been carried out to find the effect of hydrostatic pressure test on the welding area of the pipe by ANSYS Workbench software. In this study dissimilar materials of different pipes were used for FSW, which they were joined as 6063 aluminum alloy pipe with 6082 aluminum alloy pipe and C36000 high-leaded brass pipe with C12200 copper alloy pipe. In this study six parameters were used and with those parameters, eight (8) cases were welded and examined with hydrostatic tests and tensile test. The process was accomplished by varying one of the parameters (rotation speed) and keeping the others as constants.
Stealthy Monitoring and Control of Vehicle Safety System
Authors:   Asst.Prof (EEE Dept) at Sri Krishna College Of Technology, Coimbatore, Dharanika T. , Sridharshini S. ,   Student, (EEE Dept) at Sri Krishna College Of Technology, Coimbatore, Shanmugapriya V. ,   Student, (EEE Dept) at Sri Krishna College Of Technology, Coimbatore, Ramya K. ,   , Student, (EEE Dept) at Sri Krishna College Of Technology, Coimbatore, Deepa K.Sathya ,   Student, (EEE Dept) at Sri Krishna College Of Technology, Coimbatore
Published: May 2020

In recent times, traffic rules are more often violated by the drivers. And, also driving at high speed needs to be controlled. So, stealthy monitoring and control of the vehicle is required. Sometimes it is not possible to see the boards and traffic symbols kept alongside of the road. The main objective of this paper is to design and develop an efficient system that can effectively detect speed violations on the road using RF technology. The proposed system gives an alert to the driver through LCD and voice boards. In the proposed system, if over speeding vehicles don’t get controlled manually, then the system turns ON and will get controlled automatically and detect any vehicle opposite to, utilizing the vehicle on-board unit. The challenges to overcome include GSM-based Accident/Panic alert using ARDUINO mega.
Word Sense Disambiguation Methods and Algorithms
Authors:   Assistant professor at Department of computer science in Asssam University, silchar, Assam., kumar Rakesh
Published: May 2020

This paper discuss various technique of word sense disambiguation. In WSD we disambiguate the correct sense of target word present in the text. WSD is a challenging field in the natural language processing, it helps in information retrieval, information extraction, machine learning. There are two approaches for WSD machine learning approach and knowledge based approach. In Knowledge based approach a external resource is used to help in disambiguation process, but in Machine learning approach a corpus is used whether it is annotated, un-annotated or both.
Optimization of Hybrid AC DC Microgrid in Grid Connected Mode
Authors:   Electrical Engineering Department, Mohammedia Engineering School, Mohammed-V University, Rabat, Morocco, Qachchachi Nabil , Mahmoudi Hassane ,   Electrical Engineering Department, Mohammedia Engineering School, Mohammed-V University, Rabat, Morocco, Hasnaoui Abdennebi El ,   Electrical Engineering Department, Mohammedia Engineering School, Mohammed-V University, Rabat, Morocco
Published: May 2020

The instability of the production of renewable energy resources (RESs) is a major problem for its installation and integration with the utility grid. A hybrid AC/DC microgrid facilitates the good operation of RESs with a storage system in grid-tied mode and the possibilities of smart energy management. The present work is being carried out on smart control strategy for a hybrid AC/DC microgrid (HMG). This paper deals with a real-time Hybrid control system (HCS) for a grid-connected HMG where the supervisory control based totally on fixing an optimization hassle objectives to minimize operating cost with the maximum usage of renewable resources, minimum usage of the utility grid, extending energy storage systems (ESS) lifetime. The power references for renewable energy resources (RESs) are scheduled by the use of CPLEX solver which uses as input strength measurement, archived facts and stored climate forecast statistics previously measured regarding the modern status. The experimental study verifies well the supervision methodology; thus, the proposed algorithm respects the optimization in real-time operation under different constraints.
Methodological Research on Architecture of Cloud Service Models in Cloud Computing
Authors:   Information Technology Consultant, Nagpur, Tripathi Diwakar Ramanuj
Published: May 2020

Cloud computing is the most recent association in speaking to computing resources as an assistance. It addresses a move away from figuring as a thing that is gained, to computing as a help that is given to clients over the web from colossal scale data focuses – or "clouds". While cloud computing is expanding making acclaim in the IT business, the academic world appeared to fall behind the speedy movements in this field. In this paper, we investigate cloud building and differences cloud figuring and framework handling. We also address the characteristics and uses of a couple of surely understood cloud computing stages. In this paper, we discuss about the architecture of cloud computing models for which we perceived a couple of troubles from the cloud figuring gathering point of view what's more, we additionally highlighted the cloud interoperability issue that preferences broad future scope & progress.
Digital Divide: Have’s and Have Not’s
Authors:   School of Management, Kalinga Institute of Industrial Technology (KIIT), Bhubaneswar, Odisha, India., Shyam Tarun , Das S. C. ,   School of Management, department, Kalinga Institute of Industrial Technology (KIIT), Bhubaneswar, Odisha, India.
Published: May 2020

In the era of internet age each individual has an ample opportunity to access the information. But, the researchers had found inequalities in accessing the internet in terms of access of the devices, skills and tangible outcomes. This research had been carried out to elaborate the concept of the digital divide along with its different levels. It discusses on social and economic development opportunities because the digital divide is evolving from those have access, to use, to outcomes. Some people can use computers, mobile devices, the Internet, and other information and communication technologies (ICTs) and get benefitted from it. The present research will be giving the holistic view of digital divide which will help the researchers to understand the digital divide and encourage them to study on digital divide with respect to the different levels in developed and developing countries.
Relationship between water Cement Ratio and Characteristic Properties of Multi Walled Carbon Nano Tube Reinforced Concrete
Authors:   civil engineering department, National Institute of Technology,Srinager Kashmir, India., Mudasir P. , Naqash J.A. ,   civil engineering department, National Institute of Technology, Srinager Kashmir, India
Published: May 2020

In this study effect of water-cement ratio (W/C) on the characteristic properties of multiwalled carbon nano tube reinforced concrete is analyzed. Five concrete mixtures of different water-cement ratio (W/C) with and without carbon nano tubes (CNTs) were prepared. W/C of 0.40, 0.45, 0.48, 0.50 and 0.55 were used while quantity of carbon nano tube (CNT) was fixed at 1% by weight of cement (wbc). Ratio of cement, sand and aggregates was also fixed at 1: 1.76:2.66 in all mixes. For maintaining workability 0.5% polycarboxlate based superplasticizer wbc was added in all mixes.. The workability of carbon nanotube reinforced concrete (CNTC) reduced by 60% and W/C=0.50 was found ideal for slump as well as strength. At this W/C compressive strength for CNTC increased by 7.20%, split tensile strength increased by 25.75% and flexural strength increased by 3.87%.
A Collaborative IOT based Agriculture Marketing Model
Authors:   Research Guide, Department of Computer Science, GITAM University, Vizag, INDIA., Katneni Vedavathi , Prakash K. Surya ,   Research Scholar, Department of ComputerScience, GITAM University, Vizag, INDIA.
Published: May 2020

Agriculture Marketing in India is currently highly influenced with modern information technology. Latest GPS and GIS system based informatin extraction mechnisms providing high scaled details in realtime environments. In this paper a noval model constructed based on IOT enabled services to support modern Agriculture marketing feasible to farmer. The primary market dynamics are highlighted to show their impact on agriculture marketing system. The Collaborative model suggested in this work not only supports farmer in marketing their crops with best economy but also helps analysts to study the marketing trends and their various factors using knowledge engineering mechanisms. This model behaves in a highly farmer suggestive mode. The collaboration with international marketing is one of the major goals of proposed model.
Hand Gesture Recognition using Deep Learning
Authors:   Associate Professor, Department of ECE, PVP Siddhartha Institute of Technology, Kanuru, Vijayawada, India., Devi A. Geetha , Aparna M. ,   Department of ECE, PVP Siddhartha Institute of Technology, Kanuru, Vijayawada, India., Mounika N. ,   Department of ECE, PVP Siddhartha Institute of Technology, Kanuru, Vijayawada, India., kalian U. Pavan ,   Department of ECE, PVP Siddhartha Institute of Technology, Kanuru, Vijayawada, India., Nath R. Meghna ,   Department of ECE, PVP Siddhartha Institute of Technology, Kanuru, Vijayawada, India.
Published: May 2020

Hearing impaired individuals use sign languages to communicate with others within the community. Because of the wide spread use of this language, hard-of-hearing individuals can easily understand it but it is not known by a lot of normal people. In this paper a hand gesture recognition system has been developed to overcome this problem, for those who don't recognize sign language to communicate simply with hard-of-hearing individuals. In this paper a computer vision-based system is designed to detect sign Language. Datasets used in this paper are binary images. These images are given to the convolution neural network (CNN). This model extracts the features of the image and classifies the images, and it recognises the gestures. The gestures used in this paper are of American Sign Language. In real time system the images are converted to binary images using Hue, Saturation, and Value (HSV) colour model. In this model 87.5% of data is used for training and 12.5% of data is used for testing and the accuracy obtained with this model is 97%.
Productivity Improvement through the Systematic Application of Facility Layout Planning in a Small Scale Woodcraft Manufacturing Industry
Authors:   Graduate School Department, Nueva Ecija University of Science and Technology, Cabanatuan, Nueva Ecija, Philippines., Cabildo Ariel G. , Figueroa Ayezza Marie S. ,   School of Engineering and Architecture, Holy Angel University, Angeles City, Pampanga, Philippines, Angeles Emmanuel John V. ,   Graduate School Department, Nueva Ecija University of Science and Technology, Cabanatuan, Nueva Ecija, Philippines., Pajarillaga Jaypee B. ,   School of Engineering and Architecture, Holy Angel University, Angeles City, Pampanga, Philippines, Pascual Lorinda E. ,   Graduate School Department, Nueva Ecija University of Science and Technology, Cabanatuan, Nueva Ecija, Philippines.
Published: May 2020

the study’s goal is to help increase the productivity of the company by introducing a systematic layout plan in production department of VENRON Wood Home Craft Manufacturing Industry. Systematic Layout Planning application is the focus of the study to help improve productivity in the company an evaluation and workflow analysis to the current layout was used to identify the problems the company is experiencing using a fishbone diagram to represent it. A conceptual framework using IPO model was divided into several inputs and processes needed in proposing alternative layout. Process time study and layout planning tools such as from-to chart, activity relationship diagram, space requirement and block diagram will be used to develop and achieve alternative layouts The study resulted to a decrease in travel time and distance improving the productivity resulting to more production in a given time. A basic workplace safety manual for the company has been made to help the company and the workers gain knowledge and how, when and why should safety be in their practice. Costbenefit analysis using comparative analysis will be calculated in the company’s result to production per day to determine on how does the proposed layout could affect and have benefit to the company. The result of the study is that proposing a new layout could really improve the production of the company producing more units per day compared to the current one
Swarm Intelligence Techniques and Genetic Algorithms for Test Case Prioritization
Authors:   Department of Computer Science, Shaheed Rajguru College of Applied Sciences for Women, University of Delhi, Delhi, India, Sachdeva Tina
Published: May 2020

Regression testing is a technique which is carried out to ascertain that the changes that were done in the source code have not negatively damped its performance. Hence, it is a crucial and an expensive step of the software development life cycle. It re-establishes confidence in correctness of the software after changes were made to it. A test suite is used to test the software, but often it becomes time consuming to re-execute each test case every time regression testing is done. Therefore, it becomes essential to decrease the number of the test cases by prioritizing them based on some criterion. This ensures maximum detection of faults in least amount of time. In this paper, author has compared swarm intelligence techniques with genetic algorithms for such a test suite prioritization. In particular, by taking a sample GCD program Ant Colony Optimization (ACO) has been compared with Genetic Algorithms (GA) for the purpose of test suite minimization. Unit of comparison has been execution time required for prioritization of test cases. Further, experimental results have been compared with time taken by both with random testing.
Acronym Disambiguation using Web Scraping
Authors:   Department of Computer Science and Engineering, Sri Manakula Vinayagar Engineering College, Puducherry, India., Premkumar K. , Atchayaa V. ,   Department of Computer Science and Engineering, Sri Manakula Vinayagar Engineering College, Puducherry, India., Idayavalli P. ,   Department of Computer Science and Engineering, Sri Manakula Vinayagar Engineering College, Puducherry, India., Gayathri R. ,   Department of Computer Science and Engineering, Sri Manakula Vinayagar Engineering College, Puducherry, India.
Published: May 2020

Web Scraping is one of the current technologies that uses scraping tools to perform tasks similar to humans. It is adopted in many applications like e-commerce, dataset creating in machine learning, advertising etc. This work focuses on acronym disambiguation which is part of natural language processing. Acronym disambiguation is mainly used in chat bot, named entity recognition, natural language processing and so on. In this paper, an acronym disambiguation system is built by web scraping using Jsoup and cosine similarity score is used to identify the most suitable acronym. Our goal is to identify the acronym suitable for the abbreviation based on context of the paragraph where it lies. For this we use cosine similarity to calculate the score, the acronym which obtains maximum score is the concluded as suitable expansion
Enhancing Security of Data Exchange through Block Chain Technology
Authors:   Department of Computer Science and Engineering , Sreenidhi Institute of Science and Technology, Yamnampet, Ghatkesar, Hyderabad, India, Chevula Jeevankumari , Varanasi Aruna ,   Professor & HOD Department of Computer Science and Engineering , Sreenidhi Institute of Science and Technology, Yamnampet, Ghatkesar, Hyderabad, India.
Published: May 2020

Cyber security refers to a set of well-defined techniques used to protect the integrity of networks. It is used to protect vital data of customers and to restrict unauthorised access. In the era of E-Commerce, the demand for websites, web application increasing exponentially day by day. Web security is currently a significant issue for Internet enabled organization. Using websites, managing information through digital way. HTTP is a Hyper Text Transfer Protocol. It is used to transfer information over the internet. HTTP is most popular protocol widely used in web applications and allowed by internet firewalls, operating systems. HTTP is an unsecured information exchange protocol. Integrity is not there, so someone can easily alter with the content. In the internet data transferring over HTTP connection in plain text, this opening new loop hole to attackers to read every data sent over HTTP connection to web or webserver. Http is insecure as there is no encryption methods for it. So, it subjected towards the web attacks such as Man in the middle, cross site scripting, SQL Injection, click jacking, Broken authentication and session management attacks can occur. HTTP interaction with TCP is bad, causes the problems with performances and server scalability. In our proposed system, document which is used by more than one user and if there is in updation of the content user who is modifying the content of thier shared document must take their concern from other users. The process which is being used to authenticate the modifications of content of shared document is done with the help of shared key unless or until all users send the shared keys of each user the document will not be decrypted and hence further the changes in the document will not be possible.
A Novel Offset Feed Annular Ring Dielectric Resonator Antenna for Bandwidth Enhancement
Authors:   ECE department, Bapatla Women’s Engineering College, Acharya Nagarjuna University, Andhra Pradesh, India, Tulasi K. , Jyothi K. ,   ECE department, Bapatla Women’s Engineering College, Acharya Nagarjuna University, Andhra Pradesh, India., Kumari B.L.V ,   ECE department, Bapatla Women’s Engineering College, Acharya Nagarjuna University, Andhra Pradesh, India, Charithasri K. ,   ECE department, Bapatla Women’s Engineering College, Acharya Nagarjuna University, Andhra Pradesh, India, kavya M.Mani ,   ECE department, Bapatla Women’s Engineering College, Acharya Nagarjuna University, Andhra Pradesh, India, Mounila M. ,   ECE department, Bapatla Women’s Engineering College, Acharya Nagarjuna University, Andhra Pradesh, India., DIVYA G. ,   M.Tech,(Ph.D), Assistant Professor, Dept of ECE.
Published: May 2020

This article presents a design and analysis of novel offset feed annular ring dielectric resonator antenna for bandwidth increment technique. The proposed antenna design consists of a square-shaped question mark feed with an annular ring. The proposed design generates triple-band characteristics by changing the feed width. The proposed design operates in the following frequency bands 2.2-2.7 GHz, 3.13-3.94 GHz & 5.7- 7.15 GHz with corresponding bandwidth of 22%, 23%, 21%. The applications of the proposed antenna are like Wi-Fi (2.4 GHz), mobile broadband, broadband radio service (3.5 GHz), Radars, commercial WLAN (6.8 GHz).
Smart System for Elderly Wandering Person
Authors:   Dept. of CSE, GITAM University, Bengaluru, India, J Vidya , R Vineeth ,   Dept. of CSE, GITAM University, Bengaluru, India., Harsha P Sri ,   Dept. of CSE, GITAM University, Bengaluru, India., Sai J Venkata ,   Dept. of CSE, GITAM University, Bengaluru, India., Mohammed Noor ,   Dept. of CSE, GITAM University, Bengaluru, India
Published: May 2020

Nowadays wandering became one of the frequent, ticklish and deleterious behaviors of elders suffering from dementia. The same may lead to consequences like getting lost or falling down. The proposed system concentrates on problems related to wandering. In this system, we are planning a security support system focused on android for identifying the location of a wandering elder person. This system is employed with the GPS that can detect the position of the individual within and around buildings, and transmit the location to the server device. It can also detect the sound of the drifting elder person and identify the accurate position. There will be an accelerometer which detects when a person falls. This model informs the caregiver by sending the notification.
A Maximum Power Point Tracking in Wind Energy Conversion Systems using Machine Learning
Authors:   Assistant Professor(Sr.Gr), Department of EEE, Department of EEE Coimbatore, Tamilnadu, India, Kumar S.Venkatesh , Jude P.Sebastian Vindro ,   Assistant Professor(Sr.Gr), Department of EEE, Department of EEE Coimbatore, Tamilnadu, India, Balamurugan K. ,   Assistant Professor(Sr.Gr), Department of EEE, Department of EEE Coimbatore, Tamilnadu, India
Published: May 2020

In this paper, an efficient and feasible algorithm to extract the maximum power point (MPP) in wind energy conversion systems (WECS) by implementing machine learning (ML) into perturb and observe (P&O) algorithm is presented. The proposed algorithm is simulated on a separately-excited DC generator. This model uses instantaneous measurements of wind speed, humidity, temperature, pressure and generator speed to estimate a MPP by using ML at the end of each iteration. From this estimated power point, the controller follows quick perturbation to calculate the accurate MPP and is used as training data for further predictions in the next iteration. The controller learns from this training set and estimates the MPP closer to the maximum achievable power (MAP) which is corrected again through perturbation and is recorded. With the progress of time, the approximation of the maximum power point becomes more accurate whilst the time in further perturbation required for modification decreases. This model adapts to the versatile climatic conditions and yields an efficiency of 99.95% in predicting the MAP at the end of 1000 iterations corresponding to 2 hours 30 minutes.
Fundraising Portal using Smart Contracts in Blockchain using Group Signatures
Authors:   Assistant Professor, Department of Computer Science and Engineering ,SRM institute of Science and Technology, Chennai, Kumar M. V. Ranjith , Shukla Arpit ,   Department of Computer Science and Engineering, SRM institute of Science and Technology, Chennai, Agarwal Saket ,   Department of Computer Science and Engineering, SRM institute of Science and Technology, Chennai
Published: May 2020

Generally, to make a campaign,startup, or any innovative idea successful requires some amount of donation. Fundraising or let us say Crowdfunding is an efficient way to raise money for your ideas, campaigns, startups etc. There are a lot of platforms available online and they provide space for setting up your own campaign so that you can gets funds for your campaign. people can go and contribute to any idea they like and get benefit from the pledge that you make. Certainly, there are lot of drawbacks to this model. There is no transparency and no assurance that your money is being put to the right use, there are charges to use the platform and many other issues. We try to over come these issues by making a fundraising platform using smart contract in solidity. This will be more secure as it uses Ethereum blockchain to make all the transactions and all the transactions are ethereum based. Not only this but the contributors have the right to vote for a transaction and only when a minimum consensus is achieved the requested transaction can be made.Contributors can have their own pool of contributors which can be achieved by multi-signature wallet.By creating a multisigned wallet , there will be two factor authentication mechanism to access funds, which are related more to security concerns. This not only enables a transparent transaction but also develops trust in the users of the platform. This not only resolves major drawbacks faced in the current live non blockchain based platforms like Kickstarter but also brings in more efficient platform to serve the purpose.”
Smart Health Monitoring System for Pregnant Women
Authors:   Department of E & TC Engineering, Dr D Y Patil School Of Engineering, Savirtibai Phule Pune University, Pune, India., Ansari Saniya , Ansari M.B. ,   Department of Computer Engineering, BCOER, Savirtibai Phule Pune University, Pune, India
Published: May 2020

For pregnant ladies, various health parameters like ECG, blood pressure, SPO2 (stamina), respiration rate, blood glucose level, body temperature, etc. need to be monitored regularly and must be in a normal level. If the mother’ health become critical then definitely it will affect the baby. Hence it is recommended by physicians to do routine checkups at primary stages of pregnancy. But in rural areas, due to unavailability of well-equipped hospital facilities and also people don’t have awareness about their health which yields in abnormalities or creates critical issues. The presented paper summarizes, the available system and their strength and weakness and challenges in health monitoring of pregnant women. The proposed system is used to analyze various pregnancy biological factors like heart rate of pregnant women & Fetus, changes in blood pressure, blood glucose level, temperature, and weight. The proposed system will help for the rapid decision making and treatment through the high speed medical data transfer to the physicians over mobile for consulting and remote medical examinations. These values are transferred to database, to upload on server which can be monitored from any corner of the world.
Methods for Computer Aided Osteoporosis Screening System
Authors:   Department of Computer Science and Electronics, FMIPA, UGM, Yogyakarta, Indonesia, Harjoko Agus , Sela Enny Itje ,   Department of Informatics, University of Technology Yogyakarta, Yogyakarta, Indonesia., Widyaningrum Rini ,   Department of Dentomaxillofacial Radiology, Faculty of Dentistry, Universitas Gadjah Mada, Yogyakarta, Indonesia, Hidjah Khasnur ,   Departement of Computer Science, Faculty of engineering and Design, Universitas Bumigora, Mataram, Indonesia,
Published: May 2020

Osteoporosis is a disease that is not only a national issue but has also become a global issue. Although morbidity and mortality rates are relatively low in osteoporosis, fractures because of the disease makes the sufferer feel sick and suffering and affects socio-economic conditions in terms of health care systems and communities. Osteoporosis can be prevented by conducting early detection. Currently, DEXA is used to perform an osteoporosis test that becomes the World Health Organization (WHO) standard. However, the examination with DEXA is still relatively expensive. It technically can’t show the bones’ architecture. So that the examination method using a bone image that has trabeculae like wrist, thigh, jaw, hand, or foot is developed. Some research results on the osteoporosis examination system are presented in this article. The methods include such processes as image acquisition, image enhancement, image analysis (extraction and feature selection), as well as the classification process. Survey results showed that feature extraction, feature selection, and the classification method are selected based on the expected input and output system. Each method has a different level of accuracy
Preliminary Design of High-Rise Building’s Techniques
Authors:   Research Scholar, Civil Engineering Department, Chandigarh University Gharaun , Mohali (Punjab), India, Sharma Lovneesh , Pathak Swati ,   Mtech, Civil Engineering Department, Shimla University, Shimla (H.P) India
Published: May 2020

The development of tall structures has recently been restricted in India. Changes in the public arena as of late, identified with urbanization, financial aspects and compositional guidelines have anyway brought about a more prominent enthusiasm for the development of elevated structures. When planning elevated structures, challenges are confronted which frequently can be slighted when planning lower structures. In this paper, a procedure which can be utilized in the primer structure procedure of tall structures is created. The philosophy depends on romanticized estimation models The work is centered around structures with an auxiliary framework comprising of a solid center with the likelihood of including outriggers. The paper likewise features the diverse marvels identified with tall structures that should be considered in the starter arrange, or later, in the plan procedure.
A Novel Integrated Framework for Sarcasm Detection in Social Platform
Authors:   Department of Computer Science, The Bhawanipur Education Society College, Kolkata, India, Dutta Shawni , Mehta Akash ,   Department of Computer Science, The Bhawanipur Education Society College, Kolkata, India., Bandyopadhyay Samir Kumar ,   Academic Advisor, The Bhawanipur Education Society College, Kolkata, India.
Published: May 2020

Sarcasm is a form of speech which transforms the verbatim meaning of a sentence into its antonym. Sarcasm identification in social media is a crucial facet of the sentiment analysis process, since it deals with texts whose polarity is completely opposite from its utterance. Our paper provides an exhaustive review of the existing methodologies dedicated to the task of detecting sarcasm in texts posted on an online forum. A comparative analysis of the existing techniques, mentioning the datasets and the performance measure, is also provided. This paper also introduces a novel integrated framework for identifying sarcastic clues in tweets, and recognizing sarcastic users.
Methods to Handle Multiclass Imbalance Data in Educational Data Mining
Authors:   lecturer, Information Technology, Parul Polytechnic Instituute, Vadodara, Gujarat, Anjaria Bhasha , Gandhi Ankita ,   Deputy HOD & an Assistant Professor in Computer Science and Engineering Department, PIET, Parul University Vadodara, Gujarat, India, Gandhi Jay ,   Assistant Professor in Computer Science and Engineering Department, PIET, Parul University Vadodara, Gujarat, India
Published: May 2020

In Scientists ordinarily exclude the equalization of the dissemination on a dataset in Educational Data Mining (EDM). It can truly influence the consequence of the classification procedure. Hypothetically, the distribution of data is respectively balanced pretended by the majority of classifier. Hence, the execution of the classification algorithm simply turned out to be less viable and should be taken care of the issue could illuminated. These exploration would characterize about imbalanced class on multiclass EDM dataset minding component utilizing the Map Reduce. This strategy serves adjusting system for the dataset's dissemination, using parallel processing; those classification result will the results. These balancing strategies can be implemented with different kind of classification methods like Naïve Bayes, SVM, NN to measure the improvisation in the results.
Modelling of DVR with Artificial Intelligence for Compensate the Voltage Sag, Swell and Flickers by Using SVPWM Switching Techniques in Distribution Lines
Authors:   Research scholar JNTUA, Eashwaramma N. , Praveen J. ,   Profeesor in GRIET, Dept EEE, Affiliation JNTUH Hyderabad, Kumar M.Vijaya ,   JNTUA, Dept. EEE, Ananthapuramu, India
Published: May 2020

In this research proposes FLC and Artificial Neural Network (ANN) based on Dyanamic Voltage Controller (DVR) along with d q o transformation for power qulity improvement in a distribution system. Design a 9levels CHMLI based on Custom Power device with SVPWM techniques. Distribution needs to protect against the harmonics such as sag, swell and flickers are affect on standard pure power supply at the end of the load. These power quality issues are minimised with voltage injection using DVR.The designed inveter to reduced the voltage switching losses and stresses of semiconductor devices. Here used single DC voltage source with a series connection of 4 capacitors for self balancing purpose, 3 diodes,output voltage levels and Cascaded H-bridge cell. the proposed 9 level CHMLI inverter citcuit to helps reducing the number of independent voltage dc sources and IGBTS. The harmonics are less in the output voltage proposed work (new topologies)compared to conventional topology. A comparision of FLC and ANN with THD and Power Factor results and study. It has been carried out to analyse through MATLAB / SIMULINK Software.
Mining Sentiments from Students’ Feedback
Authors:   Department of Statistics, Dr. B.A.M. University, Aurangabad, M.S., India, Sonar Chhaya
Published: May 2020

Student’s feedback is a very important and crucial tool for any teacher to know his/her performance and to plan the potential improvements. In the present study the student’s opinion comprises of the several characteristics about their teacher's teaching performance are collected through closed ended questions on Likert scale as well as through few open ended questions in terms of brief statements. The open ended questions being difficult to infer; mostly are ignored. For such cases the sentiment analysis is a good tool to bring them in main analysis stream for the inference of data. The satisfaction level pertaining to the teacher’s overall performance also is enquired during the survey as a datum reference. Multinomial logistic regression is fitted and satisfaction levels are estimated using it. These two values are compared subsequently with the third resultant value that is obtained by using the sentiment analysis to evaluate, whether the same feelings about a teacher are being reflected from students feedback collected in the form of statements or not. Sentiment analysis is a technique used to measure the sentiments in numerical values that are associated with the text or the statements under consideration. The sentiment scores obtained using sentiment analysis is further processed to estimate the satisfaction levels and classification rates. Further artificial neural network is used to find out the important characteristic which characterizes the satisfaction levels.
IoT Based Home Automation using PIR Motion Sensor and Node MCU
Authors:   Pursuing computer science engineering, Sri Krishna College of Engineering and Technology, Coimbatore, Tamil Nadu, R Ranjithkumar. , S Rathish Ganesh. ,   pursuing computer science engineering, Sri Krishna College of Engineering and Technology, Coimbatore, Tamil Nadu., K Ram Vikash. ,   pursuing computer science engineering, Sri Krishna College of Engineering and Technology, Coimbatore, Tamil Nadu., M Manikandan. ,   Assistant Professor, Dept. of Computer Science and Engineering, Krishna College of Engineering and Technology, Coimbatore
Published: May 2020

This paper depicts a unique home automation system where its efficiency and accuracy can be improved by integrating the PIR motion sensor and google voice assistant. It comprises of Node MCU (esp8266) which is a Wi-Fi module used to transmit data over internet, electromagnetic relays, and the PIR sensor. This developed system works when there is any motion within the defined sensor range and it can also be controlled through the mobile application. Blynk application has been configured with the system so that it works flawlessly on both iOS and android devices. The developed microcontroller has been configured with the Blynk server which makes the home appliances work remotely and eliminates the need for a dedicated PC server. The final prototype is also configured with google assistant so that the relays can be triggered with the voice too and this system has been successfully developed, and the working prototype has been tested with various test cases
Stock Market Prediction Framework Based on the Fruit Fly Optimization Method
Authors:   Computer Science & Engineering, SITE, Swami Vivekanand Subharti University, Meerut, India., Rastogi Parag
Published: May 2020

Stock market prediction helps investors in decision-making process of investment to achieve profit. Recently, the deep learning method shows the significant performance in the stock market prediction. These deep learning models have the drawback of overfitting problems when it processing number of features. In this research, the fruit fly optimization method has been proposed for the feature reduction process in the stock market prediction. The fruit fly method has the advantages of simple computation processes and less number of parameter for tuning. The fruit fly method selects more relevant features to reduce the overfitting problem in the Long Short Term Memory (LSTM) classifiers. The Nifty 50 and S&P 500 data were applied to test the efficiency of the proposed model. The obtained result shows that the fruit fly method based framework achieved more efficiency than other techniques. The fruit fly based framework has 0.426 of Mean Square Error (MSE) and the existing firefly method has 0.621 MSE.
Prototype Development of Low-Cost Semi Automated Foam Shredder Equipment
Authors:   School of Engineering and Architecture, Holy Angel University, Angeles City, Pampanga, Philippines, Cabrera Melani B. , Pajarillaga Jaypee B. ,   School of Engineering and Architecture, Holy Angel University, Angeles City, Pampanga, Philippines, Infante Wilfredo L. ,   School of Engineering and Architecture, Holy Angel University, Angeles City, Pampanga, Philippines, Cabildo Ariel G. ,   School of Engineering and Architecture, Holy Angel University, Angeles City, Pampanga, Philippines, Quiambao R-Jay P. ,   School of Engineering and Architecture, Holy Angel University, Angeles City, Pampanga, Philippines
Published: May 2020

The Furniture Industry of the Philippines is one of the most labor-intensive and artistic industries in the country which develops the hardworking, creative and enterprising qualities of Filipinos in manufacturing best-quality furniture. With this, the Philippines is dubbed as the “Milan of Asia.” In Pampanga alone, there are several furniture SMEs which manufactures for both local and international clients. Aside from the saw dusts as the by product, scrap foams are also a hurdle for the furniture manufacturers in Pampanga and Central Luzon. Due to the continuous demand of the furniture industries in Pampanga, the study incubated to develop a lowcost semi-automated foam shredder prototypes that will cater the need of furniture industries to crash foams within the customer specification to create a new set of raw materials. The system requirements for the prototypes followed the first utility model that was created. The target of the study is to reduce the production and operating cost of the foam shredder without compromising the capacity, quality and aesthetics of the prototype. The prototype must pass the requirements as follows: (a) safe and efficient, (b) easy to use; (c) reliable and maintainable; (d) yielding capacity of 40 kgs/hr. Ten (10) furniture companies are selected in order to conduct the validation testing of the prototypes developed.
An Efficient Cancer Prediction System using Ensemble Methods
Authors:   Department of Computer Science & Engineering,Sri Krishna College of Technology, Coimbatore, India., P Sopna , E Sowmiya ,   Department of Computer Science & Engineering,Sri Krishna College of Technology, Coimbatore, India., M Sanjana ,   Department of Computer Science & Engineering,Sri Krishna College of Technology, Coimbatore, India., R Sujatha ,   Department of Computer Science & Engineering, Sri Krishna College of Technology, Coimbatore, India
Published: May 2020

Breast cancer is the most dreadful disease in the world in past few decades. Many women in the world has been affected due to this horrible disease and died. Breast cancer occurs in breast cells, the fatty tissue or the fibrous connective tissue in the breast. Breast cancer is malignant tumors tend to become progressively worse leading to death. Factors such as age genetic mutations and a family’s reordered history in breast cancer can increase the risk of breast cancer. Two types of tumors: Benign: this tumor type is not dangerous for a human body and rarely causes human death. Malignant: this tumor type is more dangerous and causes human death, it is called breast cancer. Machine learning was the boon technique in the fields of the medical industry. By the development of machine learning and data analytics a decision making tool can be made which helps in early detection and diagnosis of cancer tumor in women. This concept is to study and develop a decision based tool to eradicate breast cancer. The prediction system makes use of the ensemble algorithms to detect the cancer at earlier stage. It also differentiates the type of cancer from which the patient is being affected with effective accuracy.
Robust Regressive Feature Extraction Based Relevance Vector Margin Boosting For Aerial Images Scene Classification
Authors:   Assistant Professor, Department of Computer Science, Government College for Women, Kolar, India., Murugan K.
Published: May 2020

Aerial image scene classification is a key problem to be resolved in image processing. Many research works have been designed for carried outing scene classification. But, accuracy of existing scene classification was lower. In order to overcome such limitation, a Robust Regressive Feature Extraction Based Relevance Vector Margin Boosting Scene Classification (RRFERVMBSC) Technique is proposed. The RRFE-RVMBSC technique is designed for improving the classification performance of aerial images with minimal time. The RRFERVMBSC technique comprises two main processes namely feature extraction and classification. Initially, RRFE-RVMBSC technique gets number of aerial images as input. After taking input, Robust Regressive Independent Component Analysis Based Feature Extraction process is performed in order to extract the features i.e. shape, color, texture and size from aerial image. After completing feature extraction process, RRFERVMBSC technique carried outs Ensembled Relevance Vector Margin Boosting Classification (ERVMBC) where all the input aerial images are classified into multiple classes with higher accuracy. The RRFE-RVMBSC technique constructs a strong classifier by reducing the training error of weak RVM classifier for effectual aerial images scene categorization. The RRFERVMBSC technique accomplishes simulation work using parameters such as feature extraction time classification accuracy and false positive rate with respect to number of aerial images.
Laplacian based Image Mosaicing
Authors:   Prof, Deprt of ISE,BEC,Bagalkot, Bangarashetti Sadhana P. , Kunchur Pavan N. ,   Asst.Professor, Dept of CSE,GIT,Belagavi
Published: May 2020

In this paper, we propose to stitch multiple images using the technique of homography estimation. Firstly, Sorting the images,then computing pairwise homography between the images and then by performing image blending the objective is achieved.Then a novel decision fusion framework based on spanning tree and exif data to obtain the order of images is proposed. After the order of images are obtained, to estimate the pairwise projective homographies between the images is done. Then we warp the images according to the computed homography. The warped images later undergo feathering and laplacian blending in order to obtain seamless stitching.