bluuebunny/crossref_metadata_2025 huggingface dataset:
O Megaevento de Lazer Copa do Mundo FIFA Brasil 2014 e a sua Relação em uma Escola Estadual de Belo Horizonte – MG
Authors: Araújo Amarildo da Silva , Silva Silvio Ricardo da
Published: May 2020

A realização do megaevento da Copa do Mundo da FIFA Brasil 2014 trouxe mudanças nas cidades-sedes e produziu impactos em diversos campos como: economia, política, organização espacial, dentre outros campos da sociedade. A educação não ficou alheia a esse quadro, visto que a Copa atingiu as pessoas independente delas serem torcedoras ou não e também chegou às instituições escolares. Assim, este estudo teve como objetivo analisar a relação pedagógica entre o megaevento de lazer da Copa do Mundo FIFA Brasil 2014 e uma escola pública. Foi realizado o estudo de caso com a utilização da análise de documentos, questionário e entrevista. Os resultados mostraram que esse megaevento de lazer recebeu um tratamento secundário no campo da educação, constatando que o potencial educativo desse acontecimento foi pouco explorado no universo da educação escolar.
O Jogo, o Esporte e o Lazer na Constituição do Ideário Ambiental
Authors: Rodrigues Cae
Published: May 2020

Distintos discursos relacionados à problemática socioambiental emergem como consequência da inserção da dimensão ambiental em diferentes campos do conhecimento. Levando em consideração a força histórica do jogo, do esporte e do lazer como fenômenos socioculturais no campo da educação física, o objetivo desse artigo é analisar como esses fenômenos influenciam a constituição do ideário ambiental partindo dos discursos que emergem nas relações entre o campo da educação física e o campo ambiental. Para tanto, o corpus de análise foi composto por produções científicas que abordam a inserção da dimensão ambiental na educação física no Brasil. De maneira geral, os resultados da Análise Textual Discursiva sobre o corpus da pesquisa evidenciaram que as influências dos jogos, esportes e atividades em contextos de lazer na constituição do ideário ambiental se manifestam de maneira ainda bastante rudimentar.
Impactos do Turismo no Lazer dos Munícipes
Authors: Ribeiro Olívia Cristina Ferreira , Amaral Silvia Cristina Franco
Published: May 2020

O objetivo do estudo foi analisar quais impactos a atividade turística tem trazido para o lazer dos moradores de Brotas/SP. Foi realizada pesquisa documental e de campo, por meio de entrevistas semiestruturadas, com gestores e servidores da Prefeitura Municipal. Os dados foram estudados a partir da análise de conteúdo e mostraram que o turismo tem trazido impactos positivos e negativos para a cidade. Em relação ao lazer, os entrevistados citaram como impacto positivo o aumento das opções de lazer em termos de atividades, de eventos e de infraestrutura, por exemplo, de bares e restaurantes. Houve, também, melhoria dos atrativos, por conta de construções e instalações de equipamentos. Os principais impactos negativos foram as barreiras para frequentar os atrativos naturais, os quais, mesmo em sua maioria privados, eram passíveis de usufruto gratuito antes do desenvolvimento do turismo no município.
Relações entre Corpo e Máscara no Carnaval de Veneza
Authors: Marani Vitor Hugo , Lara Larissa Michelle
Published: May 2020

Esta investigação teve por objetivo analisar como foliões trajados tradicionalmente no carnaval de Veneza concebem a máscara e como a relação corpo-máscara é construída no tempo-espaço da festa. O estudo materializa-se com a imersão no cotidiano veneziano e nas festividades carnavalescas, nas quais o costume de adornar-se com máscaras compõe a festa. Observações e entrevistas foram os instrumentos realizados nessa pesquisa, a qual contou com a participação de cinco foliões trajados tradicionalmente em locais públicos da cidade. Os dados apontam para a dialética entre corpo e máscara: ora tal relação se expressa pela busca de experiências relacionadas à dimensão lúdica, à construção estética como via para se alcançar o protagonismo na festa e à representação teatral; ora ela ocorre a partir da lógica “máscara produto”, repleta de significados relacionados à dimensão turística que vê na máscara o potencial de consumo.
A Companhia Siderúrgica Nacional (CSN) e a Políticas Sociais de Lazer para os Trabalhadores
Authors: Araújo Fábio Salgado
Published: May 2020

O presente artigo busca compreender as políticas sociais de lazer instituídas pela Companhia Siderúrgica Nacional (CSN) discutindo a influência da empresa sobre o tempo livre de seus trabalhadores. A CSN representava na década de 1940 a construção de um projeto de caráter nacional-desenvolvimentista que procurava criar uma nova concepção de relação entre o Estado e a classe trabalhadora, inclusive no tempo do não trabalho, com a promoção de atividades de lazer. O lazer oferecido e fomentado pela CSN tinha como característica atender, preservar, recuperar e aumentar a capacidade de produzir do trabalhador apresentando características do momento industrial-fordista no Brasil com destaque para as atividades sócio-culturais e esportivos que acontecia principalmente nos clubes sociorrecreativos vinculados a empresa.
Sobre os Profissionais da Aventura
Authors: Bandeira Marília Martins , Ribeiro Olivia Cristina Ferreira
Published: May 2020

O objetivo deste trabalho foi descrever e analisar criticamente, a partir do município de Brotas, São Paulo, autointitulado capital brasileira da aventura, as condições de trabalho dos, autodenominados, profissionais da aventura. Como metodologia, este artigo apresenta o cruzamento de dados de duas pesquisas: uma etnografia sobre as rotinas da aventura e uma triangulação de análise documental, observação participante e entrevistas com gestores desse município. Encontramos que apesar de haver uma disputa política entre entidades do turismo e do esporte, a realidade de seus profissionais borra as fronteiras desses campos. Concluímos que pensar a aventura como campo híbrido em uma acepção mais geral de lazer pode auxiliar em posturas mais colaborativas para a resolução dos problemas da formação e da atuação profissionais, tais como: informalidade, sazonalidade, baixa remuneração e periculosidade.
hubungan kepatuhan minum tablet besi dengan kadar hemoglobin pada ibu hamil di puskesmas minggir sleman yogyakarta bulan april tahun 2018
Authors: Trilestari Trilestari , Hartini Windadari Murni , Siswahyuni Novi
Published: May 2020

Kepatuhan adalah tingkat perilaku individu sesuai anjuran terapi atau kesehatan. Tingkat kepatuhan dimulai dari tidak mengindahkan setiap aspek anjuran hingga mematuhi semua rencana terapi. Berdasarkan studi pendahuluan yang telah dilakukan terhadap 10 orang ibu hamil di Puskesmas Minggir, terdapat 4 orang diantaranya tidak patuh mengonsumsi tablet besi. Tujuan penelitian untuk mengetahui hubungan kepatuhan minum tablet besi dengan kadar hemoglobin pada ibu hamil di Puskesmas Minggir Sleman Yogyakarta. Penelitian ini bersifat analitik dengan rancangan cross sectional. Metode pengambilan sampel dengan non random (non probability) sampling dengan teknik sampling jenuh, dan diperoleh sebanyak 39 responden. Analisa data yang digunakan adalah univariat dan analisa bivariate dengan menggunakan uji Correlation Rank Spearman. Hasil penelitian menunjukkan terdapat hubungan signifikan antara kepatuhan minum tablet besi dengan kadar hemoglobin pada ibu hamil di Puskesmas Minggir Sleman Yogyakarta pada bulan April tahun 2018 dengan p-value = 0,551 dan sig 0,00 < 0,05. Sebanyak 86,9% ibu hamil patuh dalam minum tablet besi dan kadar hemoglobin rata-rata ibu hamil adalah 11,6 g/dl.
Photoelectron Momentum Microscope at BL6U of UVSOR-III synchrotron
Authors: Matsui Fumihiko , Makita Seiji , Matsuda Hiroyuki , Yano Takayuki , Nakamura Eiken , Tanaka Kiyohisa , Suga Shigemasa , Kera Satoshi
Published: May 2020

Photoelectron spectroscopy resolved in three-dimensional momentum space with a microscopic field of view is realized by combining a so-called Momentum Microscope with a soft X-ray synchrotron radiation source. A new experimental station for momentum-resolved photoelectron micro-spectroscopy and spectro-microscopy has been built at BL6U, an undulator-based soft X-ray beamline of the UVSOR synchrotron facility. This experimental station specializes in characterizing the electronic structure of surface atomic sites, thin films, molecular adsorbates, and bulk crystals. The instrument details are described along with possible measurement techniques.
Influence of silicon wafer surface roughness on semiconductor device characteristics
Authors: Mori Keiichiro , Samata Shuichi , Mitsugi Noritomo , Teramoto Akinobu , Kuroda Rihito , Suwa Tomoyuki , Hashimoto Keiichi , Sugawa Shigetoshi
Published: May 2020

The surface roughness of silicon wafer is one of the most important issues that degrade characteristics of semiconductor devices. The importance of spatial roughness frequency as an influential parameter has been pointed. In this research, the effect of roughness frequency on MOSFET characteristics was studied using samples with different roughness for frequency. From the obtained results, it was found that roughness with a low spatial wavelength affects electron mobility and gate insulating film reliability such as E
bd, Q
bd and SILC.
Faktor-Faktor yang mempengaruhi Minat Wakaf Masyarakat di Kota Lhokseumawe
Authors: Falahuddin Falahuddin , Fuadi Fuadi , Ramadhan Muhammad Rizki
Published: May 2020

This research is to find out the factors that influence the community Waqf Interest in Lhokseumawe City. The data used are primary data with a sample of 100 respondents. The data analysis method uses multiple linear regression with OLS (Ordinary Least Square) method. The results showed that community religious knowledge had a positive and not significant effect on waqf interest in Lhokseumawe. Perception of Waqf has a positive and insignificant effect on community Waqf Interest in Lhokseumawe City, and Revenue has a positive and insignificant effect on Waqf Community Interest in Lhokseumawe City. The determination test results used were 4%. Keywords: Wakaf Interests, Religiosity Knowledge, Wakif Perception, Income.
Faktor-Faktor yang mempengaruhi Kepuasan Konsumen dan Kaitannya Dengan Kesetiaan Merek pada Produk Kesehatan K-Link di Kota Banda Aceh
Authors: Rizal Syamsul
Published: May 2020

The purpose of this study was to determine the factors of consumer satisfaction and how much influence on brand loyalty in K-link health food products in the city of Banda Aceh. The object of research is about the satisfaction and loyalty of consumer brands in K-Link health food products in Banda Aceh City with a total sample of 250 respondents. The results of this study indicate that there is a significant correlation (correlation coefficient) between the variables of customer satisfaction factors that include product attributes, service attributes and purchase attributes to brand loyalty that is equal to 0.649 or 64.9%. The results also showed that the three variables of consumer satisfaction had a strong influence on brand loyalty of K-link health food products that was 0.422 or 42.2%. The product attribute variable has a dominant influence on influencing consumer brand loyalty on K-Link health food products because this variable has a higher regression coefficient than the other two independent variables. Keywords: Consumer Satisfaction, Loyalty, Brand, K-Link Health Products.
Sistem Informasi Aplikasi Penyusunan Sasaran Kerja Pegawai (SKP) pada Kanwil Kementerian Hukum dan Ham Aceh
Authors: Ananda Yulita
Published: May 2020

The design of the Information Systems Application System for Employee Work Target Compilation (SKP) is based on the method of evaluating civil servant work performance systematically combining the Civil Service Employee Work Target assessment with work behavior assessment. Performance appraisal consists of two elements, namely SKP and Work Behavior, with an assessment weighting of SKP elements at 60% and work behavior at 40%. From the depiction of the service mechanism at the KEMKUMHAM Aceh, an integrated information system is needed to assemble the existing subsystems into a mutually supportive unit given the still not optimal role of the computerized system in the existing service mechanism. The purpose of this study was to design an Information System for Employee Job Target Compilation (SKP) Application at the Regional Office of the Ministry of Law and Ham Aceh using Visual BASIC.NET. The design of the system used by the Rapid Application Development (RAD) method, a software development process model classified as incremental (multilevel) techniques. RAD emphasizes short, short, and fast development cycles, and data collection techniques using research methods by observation, interview, and literature study. The tools used are Microsoft Visual Basic .NET as an application in interface design and Microsoft Office Access as a DBMS. The test results of this application are the systems that are built already meet the needs, the input data process has met the needs and the resulting report has met the needs.Keywords:Information Systems, SKP, Visual Basic .NET.
Public Increasing Trust of Biometric Technology
Authors:   Scholar, Department of Computer Science, Shri Venkateshwara University, (U.P.), India, Mastoor Wara , Nahar Priyank ,   Associate Professor, Department of MCA, Shri Venkateshwara University, (U.P.), India.
Published: May 2020

Publically agree to technology of biometric is compound based at extreme believe. The bounded function at believe to biometrics usually record in various types of biometrics with correlative samples associated with familiarity and confidential. To develop a complete understand trust of people recognition about biometrics, we employed current theory to develop a regular calculation of trust in biometrics from user’s theory. We increased confidence of first concern in terms of mutual interaction, technology, information systems and adoption of automated technology. Identified common belief components in these circumstances. Modified objects with reference to biometric technology. Managed an Examine study to determine the reliability of this new scale for sub-factors and trust. Our statistics give rise to seventh recently elements companion with user believe to technology of biometric. We will know work process with recommend conclusion also.
The Importance of Thermal Barrier Coating in Compression and Spark Ignition Engines
Authors:   Lecturer, Department of Mechanical Engineering, Edo University Iyamho, Uzairue, Edo State., Festus Isaac Oamen , Anthony Edema Ofuafo ,   Lecturer, Department of Mechanical Engineering, Delta State Polytechnic, Otefe-Oghara, Delta State.
Published: May 2020

This paper explains the importance of applying thermal barrier coating (TBC) technique in internal combustion engines by providing an effective way of reducing gas emission which are carbon monoxide (CO), oxide of nitrogen (NOX), hydrocarbon (HC) including particulate matter (PM) thereby increasing engine performance (brake thermal efficiency) achieved by applying coating layers on some internal combustion engine parts using materials with low thermal conductivities and matched coefficients of thermal expansion (CTE close to the substrate material) which are mainly ceramics. Energy demand for various activities of life is increasing on a daily basis. The world depends majorly on non-renewable energy sources from fossil fuels to meet these energy demands. To be comfortable in life, better means of transportation and provision of power are required. Compression and spark ignition engines which are also called Internal Combustion Engines (ICEs) provide better transport facilities and power. However, combusting these fuels in automobile and stationary engines produces unfriendly atmosphere, contaminates water and air that are consumed by man. Pollution created as a result of combustion of gases in ICE is one of the worst man made contribution to atmospheric pollution.
Machine Learning Vs Deep Learning: Which Is Better For Human Activity Recognition
Authors:   Department of Computer Science and Engineering SRM Institute of Science and Technology Chennai, India, Uddin Nasim , Singh Mayank Pratap ,   Department of Computer Science and Engineerin, SRM Institute of Science and Technology Chennai, India, Rakesh M. Vaidhehi ,   Department of Computer Science and Engineering SRM Institute of Science and Technology Chennai, India
Published: May 2020

Human activity recognition(HAR) is used to describe basic activities that humans are performing using the sensors that we have in smartphones. The data for this activity recognition is captured by various sensors of mobile phones or wristbands such as accelerometer, gyroscope and gravity sensors.HAR has grabbed the attention of various researchers due to its vast demand in the fields of sport training, security, entertainment health monitoring,computer vision and robotics. In this project we compare different machine learning and deep learning algorithms to find a better approach for HAR. The dataset comprises six activities i.e. walking, sleeping, sitting,moving upward, moving downwards and standing.In this demonstration we also showed confusion matrix,accuracy and multi log loss of various algorithms. With the help of accuracy, confusion matrix of algorithms we compare and determine the best approach for HAR. This will help in future research to map the activities of humans using one of the best approaches used
Brain Tumor Detection by using Fcm Algorithm
Authors:   Assistant Professor, Department of Electronics and Communication Engineering, Vivekanandha College of Engineering for Women, Kokila S. , Indhu B. ,   PG Scholar, Department of Electronics and Communication Engineering, Vivekanandha College of Engineering for Women
Published: May 2020

capable of changing a picture into digital type and it perform operations on image. In image process, input is a picture (may be a video frame or a photograph in any format) and therefore the output is also a picture or the characteristics of the input image. Image process system sometimes considers a picture as a 2 dimensional signal, whereas process. It’s one in all the rising technologies, with its branches of application widespread into many domains of business. Image process may be a core analysis in space engineering and it additionally acts as a thrust space in alternative disciplines of applied science. Researchers would like to do perform research in image processing; because it offers real time applications and therefore the results derived from image processing techniques are created. In this paper we have discussed about the greedy snake segmentation, snake contour detection and fcm optimization techniques for segmenting the tumor image, the accuracy level is increased up to 90% compared with the existing algorithm.
Intelligent Feature Extraction for Handwritten Tamil Mantra Recognition in Slogans by using PCA based Deep Convolutional Neural Network
Authors:   Department of Computer Science, University of Madras, Chennai, India, Sornam M. , Priya C. Vishnu ,   Department of Computer Science, University of Madras, Chennai, India., M Poornima Devi. ,   Department of Computer Science, University of Madras, Chennai, India
Published: May 2020

Offline handwritten identification of characters is a core problem in pattern matching. The main challenge for researchers in the identification of handwritten characters is inscribing individual styles. Tamil mantras identification is a challenging job due to many missing features in the mantras ' complex structure. The problem at hand is to break traditional hand-designed features. A new venture has been undertaken to automatically extract the complex features for recognition and classification from the complex structure bypassing the individual Tamil characters into the Convolutional Neural Network, a special type of deep learning network. The best convolutional model was chosen to improve efficiency by comparing different convolutional models that vary in activation functions, classifiers, and pooling functions. Principal Component Analysis (PCA) was used to select the top n eigenvectors from the image for better efficiency. So with the above trained best model with PCA for independent Tamil character images, handwritten Tamil fonts in the slogans (a group of characters) have been well recognized.
Emotion Recognition System for Visually Impaired
Authors:   Associate Professor, Department of Computer Science and Engineering, Sri Manakula Vinayagar Engineering College, Puducherry, India, Kodhai E. , Pooveswari A. ,   Department of Computer Science and Engineering, Sri Manakula Vinayagar Engineering College, Puducherry, India., Sharmila P. ,   Department of Computer Science and Engineering, Sri Manakula Vinayagar Engineering College, Puducherry, India., Ramiya N. ,   Department of Computer Science and Engineering, Sri Manakula Vinayagar Engineering College, Puducherry, India.
Published: May 2020

Machine learning is one of the current technologies that use computers to perform tasks similar to humans. It is adopted in many applications like face recognition, Chabots, self-driving cars etc. This work focuses on emotion recognition which is part of computer vision technology. Emotion recognition is mainly used in cybersecurity, online shopping, police investigations, and interview process and so on. In this paper, an emotion recognition system is built for the visually impaired people. The blind people cannot recognize the facial expressions of the person interacting with them. These people can be provided with a device that can recognize the emotions of people through a camera and conveys the kind of emotion via headphones. The system will be made using a Raspberry Pi computer to perform the entire task and it is portable for the user. The emotion recognition model will be trained using convolution neural network (CNN) with the fer2013 dataset that contains more than 30,000 images. The human face is detected using the OpenCV library and some features like Histogram of Oriented gradients (HOG) are also passed with input images for better accuracy. The recognized emotion is then converted to a speech using a python library Pyttsx3 that make use of eSpeak engine.
Video Object Detection through Traditional and Deep Learning Methods
Authors:   Computer Department, AIT Pune, Research Scholar at PCCoE, Pune, Maharashtra, India, Yadav Sita M. , Chaware Sandeep M. ,   Computer Engineering Department, MMCOE, Pune, Research Guide at PCCoE, Pune, Maharashtra, India
Published: May 2020

Object detection in videos is gaining more attention recently as it is related to video analytics and facilitates image understanding and applicable to . The video object detection methods can be divided into traditional and deep learning based methods. Trajectory classification, low rank sparse matrix, background subtraction and object tracking are considered as traditional object detection methods as they primary focus is informative feature collection, region selection and classification. The deep learning methods are more popular now days as they facilitate high-level features and problem solving in object detection algorithms. We have discussed various object detection methods and challenges in this paper
A Dynamic and Combined Framework for Predicting Phishing Attack
Authors:   Assistant professor of Information technology in SRM IST, Ramapuram Campus, Chennai, Tamil Nadu, India., J Antony Vijay , Saurabh Sumit ,   Department of Information Technology, SRM IST,Chennai,Tamil Nadu, India, Sharma Rajat ,   Department of Information Technology, SRM IST,Chennai,Tamil Nadu, India, Roy Sachin ,   Department of Information Technology, SRM IST,Chennai,Tamil Nadu, India, Roy Sourav ,   Department of Information Technology, SRM IST,Chennai,Tamil Nadu, India
Published: May 2020

Right now internet where every single of us is reliant or leaning upon the web/internet some or the many ways. Practically all the exercises which incorporates web based booking, paying bills, entertainment requires web and there is a ton of chances that these exercises which we perform may be utilized by programmers to get to our classified information which may offer access to our own private data. At the point when we are utilising web for a more extended span of time, then that point at which we may be trapped in phishing assault which are generally performed by expert programmers. Right now make counterfeit site which on login will divert you to their site which will store certifications to utilize them. In spite of the fact that we are as of now educated by the Cyber wrongdoing network about the phishing, there are numerous strategies, programming and systems which causes the online client to get nitty-gritty data about the assault before the assault even happens. The achievements pace of these are not exceptionally high but rather still the client can get a harsh thought regarding it. This project will expand the achievement pace of phishing location so the individuals utilizing the web are more protected and can safely utilize the web.
Reliability Assessment of Radial Distribution System
Authors:   Assistant Professor, Department of Electrical & Electronics Engineering,JNTUH College of Engineering, Jagtial, T.S.,India., Sangeetha P. , Sowjanya S. ,   Pursuing M.Tech, Electrical Power System, Jawaharlal Nehru Technological University Hyderabad College of Engineering Jagtial, T.S, India.
Published: May 2020

In this paper the reliability indices are calculated for radial distribution network is improved by placing isolators. Isolators placed at near the tee section of the main radial distribution network used as protection for the load points under abnormal conditions. A seven load point distribution radial network is used to study without isolators and with isolators. Reliability indices evaluated and compared for radial network with isolators and without isolators.
Iot Based Health Care System for Predicting Cardiac Issues
Authors:   Pursuing B.Tech, Department of Information Technology, SRM Institute of Science and Technology, Chennai., Reddy A Chandrahas , Reddy G Avinash ,   Pursuing B.Tech, Department of Information Technology, SRM Institute of Science and Technology. Chennai., Koushik A V R M ,   Pursuing B.Tech, Department of Information Technology, SRM Institute of Science and Technology. Chennai., Siddeshwar K V ,   Pursuing B.Tech, Department of Information Technology, SRM Institute of Science and Technology. Chennai..
Published: May 2020

According to the survey conducted by the WHO (World Health Organization), out of 56.9 million deaths, Ischemic heart disease and Heart stroke account for 15.2 million deaths of the total deaths in 2016. These are regarded, as the Non-Communicable Diseases (NCD) also known as chronic diseases, tend to affect a person for a long duration. Along with in most of the cases, it is hard to find the disease existence in its primary stage; we can find it only with the symptoms like stroke or heart attack. Due to the lack of these symptoms, healthcare awareness and the financial needs many people are losing their lives. It is a very long process and cost effective. Hence, we are proposing a model, which predicts these symptoms with the implementation of latest technological advances like IoT, machine learning and deep learning algorithms. The proposed methodology takes place in three stages. Primary stage consists of collecting the data through sensors attached to the patient. Secondary stage involves the transfer of data from the microcontroller to the application and converting the data to suitable form. Tertiary stage involves feature extraction of the data and classification of the data using the CNN algorithm. All the stages run dynamically and generate the results based on the data collected. These results are then analyzed to check if the patient has arrhythmias or normal.
Reclaimed Water Project: Effects of High Na Concentration in Soil and Plant Tissues
Authors:   Tech Ops Clark Water Corporation, Mechanical Engg Dept, Holy Angel University, Angeles City, Pampanga, Philippines., Manalang Mark Franklin P. , Tala Renzo L. ,   Civil Engineering Department, Don Honorio Ventura State University, Bacolor Pampanga, Philippines., Dizon Prolan D. ,   College of Engineering and Architecture, Don Honorio Ventura State University, Bacolor, Pampanga, Philippines., David. Kathleen Camilla E. ,   Mechanical Engineering Department, Don Honorio Ventura State University, Bacolor, Pampanga, Philippines., Villar Michael John M. ,   Graduate School Department, Nueva Ecija University of Science and Technology, Cabanatuan, Nueva Ecija, Philippines.
Published: May 2020

Clark Water Corporation (CWC) intends to reclaim its treated wastewater (WW) for turf grass irrigation in golf courses and other urban landscapes. CWC’s treated effluent meets the DA (DAO 26) irrigation standard except for sodium which exceed by an average of 17%; creating the need to study the effects of high Na concentration of WW in soils and plant tissues. Soil samples were compiled from 3 sites; 2 from target irrigation sites, P.Balagtas and Korea CC and 1 from the final pond of the Wastewater Treatment Plant’s (WWTP) to replicate long-time irrigated soils. Soils were transferred to experimental plots, planted with foliage and irrigated for 5 months with equal amounts of WW. Results indicate that soils from the target sites are fine grained sandy soils and that WW irrigation have improved their structure and porosity. Calcium and magnesium levels spiked with calcium increasing 60 folds while magnesium levels surging by more than 1000 folds. Soil sodium levels increased by an average of 70% while organic content dropped by an average of 119%. Variances between the former and latter parameters were more prominent with the Korea CC soils. Planted foliage have exhibited tolerance from the high sodium content of irrigation water. Foliage taken from the Korea CC plots generally performed better in the uptake of nutrients as compared to those harvested from P. Balagtas. Disturbingly, all harvested foliage exhibited uptake of arsenic which can be attributed to soil background contamination. Although it cannot be inferred in the experiment, potential problems associated with long-term nutrient build up may arise. Ideally, these effects can be countered by the amount of rainfall and its associated leeching. This anticipation is backed-up by the lack of sodium accumulation from 3rd soil sample taken in proximity of the WWTP final pond.
Design and Improvisation of Fire Fighting Bike
Authors:   Department of Fire Technology & Safety Engineering, Medi-Caps University, Indore, India., Zende Hardik , Bais Akshay Singh ,   Scholar, Department of Fire Technology & Safety Engineering, Medi-Caps University, Indore, India., Rathore Purushendra Singh ,   Scholar, Department of Fire Technology & Safety Engineering, Medi-Caps University, Indore, India., Yadav Sandeep ,   Assistant Professor, Department of Fire Technology & Safety Engineering, Medi-Caps University, Indore, India, Raghuvanshi Rituraj ,   Assistant Professor, Department of Fire Technology & Safety Engineering Medi-Caps University, Indore, India.
Published: May 2020

The project titled Design and Improvisation of Fire Fighting Bike is associated with new technique installed on the present firefighting bike. Deals with the firefighting operations with a quick response time.As identical in urban areas the narrow and crowded spaces where the movement of fire engines are not possible the bike plays the upper hand role and work as a life saver.The purpose of firefighting bike is to help the fire fighter to beat the traffic congestion and reach out the place of emergency within time.With all the required firefighting equipment required to overcome a concentrated fire. The fire suppression needs to be done at the incipient stage where the heat and flame produced by the fire is at the minimum point. The expected outcome of the project will be, to counter the fire at its initial stage for better human safety and protection.
S 3DCE: Secure Storing and Sharing of Data in Cloud Environment using user Phrase
Authors:   Computer Science and Engineering, University Viseveswaraya College of Engineering, Bangalore University, Bengaluru, Karnataka, India., B K Jeevitha , P U Neeta ,   Computer Science and Engineering, University Viseveswaraya College of Engineering, Bangalore University, Bengaluru, Karnataka, India, C N Pushpa ,   Computer Science and Engineering, University Viseveswaraya College of Engineering, Bangalore University, Bengaluru, Karnataka, India, J Thriveni ,   Computer Science and Engineering, University Viseveswaraya College of Engineering, Bangalore University, Bengaluru, Karnataka, India, K R Venugopal ,   Vice-Chancellor, Bangalore University, Bengaluru, Karnataka, India
Published: May 2020

Distributed Cloud Environment (DCE) focuses mainly on securing the data and safely shares it to the user. Data leakage may occur by the channel compromising or with the key managers. It is necessary to safeguard the communication channel between the entities before sharing the data. In this process of sharing, what if the key managers compromises with intruders and reveal the information of the user’s key that is used for encryption. The process of securing the key by using the user’s phrase is the key concept used in the proposed system “Secure Storing and Sharing of Data in Cloud Environment using User Phrase (S3DCE). It does not rely on any key managers to generate the key instead; the user himself generates the key. In order to provide double security, the public key derived from the user’s phrase also encrypts the encryption key. S3DCE guarantees privacy, confidentiality and integrity of the user data while storing and sharing. The proposed method S3DCE is more efficient in terms of time, cost and resource utilization compared to the existing algorithm DaSCE (Data Security for Cloud Environment with Semi Trusted Third Party) [22] and DACESM (Data Security for Cloud Environment with Scheduled Key Managers) [23].
CNN BLSTM Joint Technique on Dynamic Shape and Appearance of FACS
Authors:   Assistant Professor, Department of Computer Science & Engineering, Dayananda Sagar University, Bengaluru, Karnataka , India., Begum Nazmin , Mustafa A Syed ,   Professor and Head of the Department, Department of ISE, HKBK College of Engineering, Bengaluru, Karnataka , India.
Published: May 2020

Facial recognition is a process where we can identify or verify a person from digital image or videos and is used in ID verification services , protecting law enforcement ,preventing retail crime etc. Past work on automatic analysis of facial expression focuses on detecting the facial expression and exploiting the dependencies among AU’s. But, spontaneous detection of facial expression depending on various factors such as shape, appearance and dynamics is very difficult. Joint learning of shape , appearance and dynamics is done by a deep learning technique.This includes a convolutional neural networks and bidirectional long short term memory(CNN-BLSTM). This combination of CNN-BLSTM excels the modeling of temporal information. FERA2015 dataset achieves the state of art.
Rough Sets and Colonies of Artificial Ants for the Improvement of Training Sets
Authors:   Educational Center “José Martí”, University of Ciego de Ávila, Ciego de Ávila, Cuba., Rey-Benguría Carmen F.
Published: May 2020

Improving training sets is an area of active research within l to Artificial Intelligence. In particular, it is of particular interest in supervised classification systems, where the quality of training data is crucial. This paper presents a new method for the improvement of training sets, based on approximate sets and artificial ant colonies. The experimental study carried out with international databases allows us to guarantee the quality of the new algorithm, which has a high efficiency.
Livewire Detector Life Saver from Electrocution
Authors:   Professor and Head, Department of Electrical and Electronics Engineering, Kuppam Engineering College, India, Ramesh K. , Archana B. ,   Assistant Professor, Department of Electrical and Electronics Engineering, Kuppam Engineering College, India, Reddy V. Tharnath ,   UG Students, Department of Electrical and Electronics Engineering, Kuppam Engineering College, India, Kumar C. Nagendra ,   UG Students, Department of Electrical and Electronics Engineering, Kuppam Engineering College, India, Varaprasad M. ,   UG Students, Department of Electrical and Electronics Engineering, Kuppam Engineering College, India
Published: May 2020

Electrocution causes serious effect on human and animals and leads to dead some times. The Electrocution is one in all the main faced problems in forest areas and a few agricultural fields. Especially Forest guards were getting affected because of Electrocution in rainy seasons and through invisible condition. Forest guards get electrocuted in Forest due to electrical power lines and some of them lose their life by touching the electrical lines directly or when there is a leakage in supply lines. To find the electrocution condition, a device has been developed and is detailed in this article. This proposed device will detect the electrical power lines and give the alert signal to the user. The prototype model working has been verified at different work fields where the power lines present
Knn based Crop and Fertilizer Prediction
Authors:   Dept. of CSE, SRM Institute of Science and Technology, Chennai, India, M Prakash U. , Bora Sristika ,   Assistant Professor, Dept. of CSE, SRM Institute of Science and Technology, Chennai, India,, Gautam Abhishek ,   Dept. of CSE, SRM Institute of Science and Technology, Chennai, India, Anand K.R. Gokul ,   Assistant Professor, Dept. of CSE, SRM Institute of Science and Technology, Chennai, India
Published: May 2020

India has always been active in agriculture, in fact even in this age of industrialization agriculture and agriculturebased industries continue to be a main source of income for a large percentage of the population. Machine learning and data mining have become, in the present day, are very important mediums when it comes to research in the crop yielding domain. Many a times we come across news on the paper about farmers committing suicide because of crop failures and increase in loans. In preventing such situations, crop yield prediction software can play a very important role. This research is an attempt in proposing a method to predict the success of crop for a particular area by using data on amounts and ratios of different components of soil like nitrogen, potassium, phosphorus and environmental statistics on temperature and weather. Various machine learning algorithms are used to get an accurate result. KNN is used for classification and regression prediction problem. It also attempts in providing a precise output on what fertilizers can be used to better the yield. Through this, therefore, farmers will also be able to predict their profits and final revenues.
Swipe Count Alerter to Prevent Smartphone Thumb
Authors:   Department of Computer Science and Engineering, Rajalakshmi Engineering College, Chennai, India,, Sreekrishna M. , S Gnanavel ,   Assistant Professor(SG), Department of Computer Science and Engineering, Rajalakshmi Engineering College, K Jeya Krithiga ,   UG Scholar, Department of Computer Science and Engineering, Rajalakshmi Engineering College, Chennai, Akshaya Jyothinaidu ,   UG Scholar, Department of Computer Science and Engineering, Rajalakshmi Engineering College, Chennai., D Janani ,   UG Scholar, Department of Computer Science and Engineering, Rajalakshmi Engineering College, Chennai
Published: May 2020

Smartphones are the devices that can do more than just calling now-a-days. With the rise in large numbers of mobile applications, the time people spend interacting with their phones has also increased. The Repetitive strain in fingers due to continuous usage of touch screens causes swelling and severe pain in fingers. To prevent this issue we develop a mobile application to notify the user with the swipe counts made. The user thus, has to control the usage of smartphones. The Counts are compared with a threshold limit to check if it has reached the limit. If the number of swipes is found to reach a limit an alert notification is sent to the user stating that they have made this number of swipes. This provides an hourly notification of the number of swipes made. This mobile application also checks the data of the number of swipes made each day and provides an average of all. This helps the user to get an idea of the number of swipes they make each day and this should try to control their continuous usage of fingers for tapping, texting and swiping. This also helps the user to prevent tendon weakness and severe issues like inability to bend the thumb.
A Novel and Dynamic Framework for People Counting
Authors:   SRM Institute of Science and Technology, Chennai Department of Computer Science and Engineering, D Prabhu. , Musaddi Roshni ,   SRM Institute of Science and Technology, Chennai Department of Computer Science and Engineering, Jaiswal Anny ,   SRM Institute of Science and Technology, Chennai Department of Computer Science and Engineering, Varma Nitheesh ,   SRM Institute of Science and Technology, Chennai Department of Computer Science and Engineering
Published: May 2020

A real time person counting from video records is a primary structure coalition for some applications in dense urban areas. Practically speaking, this undertaking typically experiences numerous issues, such as the absence of real time processing of the recorded videos or the event of errors because of insignificant individuals being counted. To defeat the above issues, we propose a novel and dynamic framework for real time people counting named YOLO-PC (People Counting based on YOLO).
Avoidance of Collision using Copy Cat Technology
Authors:   Assistant Professor in the Department of Electronics and Communication Engineering, Prasad V. Potluri Institute of Technology, Kanuru., T Maha Lakshmi. , P Yamini. ,   Bachelor in Electronics and Communication Engineering, Prasad V. Potluri Institute of Technology, Kanuru., T Mahesh Kumar. ,   Bachelor in Electronics and Communication Engineering, Prasad V. Potluri Institute of Technology, Kanuru
Published: May 2020

The project aims to design an android interface Bluetooth controlled robotic car with master-slave configuration involved in it. Robotic car contains arduino microcontroller with basic mobility features. Arduino programs contain instructions mediating between Android controller and Robotic car. An appropriate program in the arduino microprocessor to interact with the android controller has been created. The program has been successfully complied through arduino IDE to the arduino microprocessor & loaded into it after proper checking of logic to decrease any loss/damage of hardware. An android application that would provide a user interface to interact with the arduino powered robotic car was created. This interface is easy to use and provide feedback from the arduino microprocessor through the Bluetooth after giving instruction to arduino for various actions via Bluetooth module. The android application is created with the help of android studio that provides more capability & stability. This project also describes the robots that are configured in master slave technology. In this case the user sends the data from the android device which is received and executed by the master robot and simultaneously the data is broadcasted to the slave robots through the RF transmitter. Slave robots receive the data from the RF receiver, decode it and send the command to Arduino and from then to the motors. Also, there is a provision that any of the robots shall be made the master of the remaining robots. Under any dangerous circumstances (Ex: when the driver is asleep while driving) slave robot uses the path which is followed by master as a navigation and moves in that particular direction. By this technology one shall reduce the number of accidents which leads to decrease of death rate.
Fault Analysis and Condition Monitoring of Transformer
Authors:   Electrical Engineering Department, GNU-UVPCE, Ganpat University, Mehsana, India., Chaudhari Chhaya J. , Patel Rakeshkumar A. ,   Electrical Engineering Department, GNU-UVPCE, Ganpat University, Mehsana, India., Patel Nikunjkumar N. ,   Electrical Engineering Department, GNU-UVPCE, Ganpat University, Mehsana, India.
Published: May 2020

The unscheduled outages of transformers, due to unexpected failures are creating more problems for load management and system stability. Condition monitoring is done on power transformer those monitor various parameters predict fault accruing possibility and reduced unscheduled outage. In this paper, different condition monitoring techniques have discussed. The transformer model is prepared with healthy and faulty conditions using MATLAB Simulink. L-G, L-L-G, and L-L-L-G fault have been discussed in this paper. Various parameters are used for condition monitoring and fault diagnosis.
Recommendation System for Movie Cast and Crew using Datamining Algorithm
Authors:   department of computer Science, Christ (Deemed to be University), Banglore, India., R Ranjitha B
Published: May 2020

In this article, the data mining algorithms like apriori algorithm is used to suggest the best cast and crew to make a particular genre of movies so that the movie is successful. The data of cast and crew is extracted for which the users have given high average ratings and apply apriori algorithm to give recommendation. There are recommendation systems which gives the recommendation to the users so that the users can watch movies in which they are interested in. But there are no recommendation systems which gives the right information which is helpful for movie making. It is important to make good movies so that the viewers and entertained by it due to which the profit of the producers increases. This research work can be used by the movie makers to select the best cast and crew for the particular genre of movie.
Invisibility Cloak using Color Detection and Segmentation with Open CV
Authors:   Assistant Professor, Department of Computer Science & Engineering, Maharaja Surajmal Institute of technology, GGSIPU, New Delhi, India., Malik Sapna , Kaur Simran ,   Student, B.Tech, Computer Science & Engineering, Maharaja Surajmal Institute of technology, GGSIPU, New Delhi, India, Rana Sejal ,   Student, B.Tech, Computer Science & Engineering, Maharaja Surajmal Institute of technology, GGSIPU, New Delhi, India
Published: May 2020

Have you ever thought of making visible things invisible, just like the Harry Potter? Have you ever thought how does one supersede backgrounds and add effects in a movie? The cloak was magical and invisible in Harry Potter, the movie. As we know there is no magic and no invisible cloak which exists in the world. It’s all about the graphics tricks. The concept of an invisibility cloak is a mixture of science, fantasy, and the collective imagination. This paper helps to create one’s own ‘Invisibility Cloak’.It will make use of Python and OpenCV module specifically targeting Image Processing and Image Segmentation to create a false sense of invisibility in the frame. It will explore how an object of a specific color or texture can be manipulated using the OpenCV library of python. To achieve this, initially we’ll be capturing and storing the backdrop frame . Thereafter we’ll be identifying the red coloured fabric by making use of the above mentioned algorithms. Then we’ll segment out the red colored fabric by generating a mask and then finally , we’ll generate the final augmented(magical) output to create Invisibility cloak. These steps are discussed deeper in the paper.