bluuebunny/crossref_metadata_2025 huggingface dataset:
El legado profesional como patrimonio institucional: la obra bibliotecológica de Hanny Stoecker de Simons en la Biblioteca Pública de la Universidad Nacional de La Plata
Authors: Meclazcke Julián
Published: June 2020

Hanny Stoecker de Simons fue vicedirectora de la Biblioteca Pública de la Universidad Nacional de La Plata durante tres décadas (1919-1949) en las que esta institución fue refundada en todos sus aspectos, servicios y significaciones. Desde la arquitectura hasta la organización de los estantes, su huella se constituyó como incógnita, perdiéndose en la pompa de las declaraciones oficiales. En el presente trabajo se plantea su figura como objeto de estudio, entendiendo que toma el carácter de demanda y necesidad histórica. Su condición de mujer bibliotecaria es analizada desde una perspectiva de género, con una metodología autóctona de la disciplina, al tiempo que su génesis profesional se desarrolla siguiendo los parámetros de los estudios biográficos afines. Se espera poder visibilizar el impacto de Simons en el desarrollo de la Biblioteca Pública de la UNLP, analizando sus aportes a la organización del fondo documental y la reglamentación de los préstamos domiciliarios. Se recorre además su obra intelectual, con el objetivo de ponderar su contribución al desarrollo del campo bibliotecológico local.
An Investigation on the Relationship between Facial Emotional Recognition and Tendency to Commit Crime; Moderating the Effects of Socio-Economic Well- Being
Authors: Blessing Nweke Ijeoma , Chibuike Okoli Paul , Philip Ofojebe Chukwuma , Ikechukwu Ugboma Cajetan , Okorieh Akpoke Victor , Grace Ogundu Amara , Chukwunonye Edoka Anthony
Published: June 2020

The growth of crime rates are on the increase all over the world and Nigeria is not an exception. Crime the intentional illegal action committed by any person for which such a person can punish by law does not have a definite cause but rather combination of causes which may include: economic situation, social environment, personality traits, and family structures. This study investigates if socioeconomic wellbeing has a mediating effect on relationship between facial emotional recognition and the tendency to commit crime among hospital workers in Imo state. A total of 150 (75 males and 75 females) workers, were randomly selected to participate in this study. Three instruments were used in this study which includes: Criminal Behaviour Rating Scale (CBRS) developed by Animasahun (2011), Socio-economic wellbeing scale developed by Obi-Nwosu (2018) and Facial emotion scale developed by Paul Ekman.
Ontogenetic Development of Hedysarum alpinum L. in the Prebaikalia Region
Authors: Khudonogova Elena G. , Mikhlyaeva Alena A. , Polovinkina Svetlana V.
Published: June 2020

Hedysarum alpinum L. is an important medicinal plant, which also has ornamental value and is used as a non-conventional feed resource. The medicinal value of this plant species is attributable to the content of the glycoside mangiferin in the aerial parts of a plant, which demonstrates immunostimulating properties. Harvesting of H. alpinumas a herbal raw material leads to a fast depletion of natural coenopopulation areas. When cultivated in Prebaikalia, the plant passes through all ontogenetic stages, entering the reproductive phase at year 2-3 of growth. The mid-reproductive stage, which is the most productive for feeding purposes, lasts 6 to 10 years. For introduced species, the life span of a plant growing in the same place ranges between 12 and 20 years. H. alpinumis a promising medicinal and fodder plant, which tolerates dry summer periods, is winter-hardy, and has high shoot biomass production.
Endocardial and endo-epicardial substrate mapping and ablation of ventricular arrhythmia in patients with arrhythmogenic right ventricular cardiomyopathy
Authors: Simonova К. A. , Kamenev A. V. , Tatarskiy R. B. , Orshanskaya V. S. , Lebedeva V. K. , Garkina S. V. , Vander M. A. , Lebedev D. S. , Mikhaylov E. N.
Published: June 2020

Purpose: to compare epicardial and endocardial surface area of local abnormal ventricular activity (LAVA) and low voltage zone (LVZ) and effectiveness of endocardial versus combined endo-epicardial ablation of ventricular arrhythmias in ARVC patients.

Methods: a prospective observational “case-control” study comprised 20 patients with ARVC and ventricular arrhythmias referred to catheter ablation. The study group with epicardial approach (EPI group) comprised 10 patients with sustained VT, who signed informed consent for the epicardial access. The control group (ENDO group) comprised 10 patients with sustained VT or frequent symptomatic premature ventricular contractions (PVC). Electroanatomical voltage mapping and LAVA ablation was performed.

Results: the patient mean age was 41.4±13.8 years, 70% males; 90% patients in the EPI group had sustained VT, 50% - in the ENDO group. In the EPI group the endocardial unipolar low voltage zone area (LVZ) significantly prevailed over the bipolar endocardial LVZ area: 75.4 cm2 [IQR: 23.2; 211.9] vs 6.7 cm2 [IQR: 4.4; 35.5] (Р=0.009). In the ENDO group the LVZ area on unipolar map had a trend toward the prevalence over the bipolar area, but was not statistically different: 12.7 cm2 (IQR: 0; 46.3) vs 3.65 cm2 (IQR: 0; 46.3) (Р>0.05). The epicardial bipolar LVZ area prevailed over unipolar epicardial LVZ area: 65.3 cm2 [IQR: 55.6; 91.3] vs 6.7 cm2 [IQR: 4.4; 35.3] (Р=0.005). Non-inducibility of any ventricular arrhythmia was achieved in 90% of EPI patients and in 80% of ENDO cases. The median follow-up period was 22.3±10.5 months. During a mean follow-up period freedom of ventricular arrhythmia recurrence was 70% in the EPI group and 100% in the control group (Р>0.05).

Conclusion: Although there was a significant difference in bipolar LVZ areas between endo- and epicardial maps, our series showed that endocardial only ablation is an effective strategy in ventricular arrhythmia management in ARVC patients.
Mobbing w środowisku pracy Refleksje wokół warsztatu badawczego
Authors: Strutyńska Elżbieta
Published: June 2020

Artykuł ma charakter przeglądowy, przybliżając opis wczesnych i najnowszych badań dotyczących mobbingu w miejscu pracy (na podstawie piśmiennictwa krajowego i zagranicznego). Autorka podjęła próbę usystematyzowania wiedzy w tym zakresie, w szczególności przedstawiając definicję i kryteria pozwalające na identyfikację mobbingu, formy zachowań mobbingowych, a także metody jego diagnozy. Omawia również przyczyny, skalę mobbingu w różnych grupach zawodowych oraz jego konsekwencje w kontekście funkcjonowania indywidualnego, zawodowego i społecznego. Autorka prezentuje także podejścia teoretyczne w wyjaśnianiu mobbingu w środowisku pracy, a w ostatniej części artykułu kładzie nacisk na znaczenie prewencji antymobbingowej. Artykuł zawiera odniesienia do własnych badań autorki w środowisku nauczycielskim.
As viagens, os regimes, os olhares: Fernando Namora na União Soviética e nos Estados Unidos
Authors: Bezerra Antony Cardoso
Published: June 2020

Em clave ensaística, contemplam-se dois livros que pertencem à ultima fase da carreira do autor português Fernando Namora: Cavalgada Cinzenta: narrativa (1977) e URSS Mal Amada, Bem Amada: crônica (1986). Com base na discussão das ligações do movimento literário neorrealista, em Portugal, a ideais do comunismo, expõem-se escalas do projeto estético de Namora e, por fim, os procedimentos de escrita empregados nas obras que dão conta de duas viagens realizadas nos anos de 1972 — a Nova Iorque; e de 1973 — à União Soviética. Privilegiando-se o segundo livro, mas sempre em contraste com o primeiro, observa-se que alguns dos valores sustentado pelo Neorrealismo e por Namora (liberdade, democracia etc.), no combate ao totalitarismo do Estado Novo em Portugal, deixam-se de lado em benefício do louvor a um regime igualmente de exceção, o comunismo soviético.
O aprofundamento da perspectiva subjetiva na escrita de Fernando Namora
Authors: Ferri Ana Carla Pacheco Lourenço
Published: June 2020

O aprofundamento da perspectiva subjetiva na escrita de Fernando Namora, a partir da publicação do romance O Homem Disfarçado (1957), correspondeu às necessidades do nosso contexto histórico depois do início da Guerra Fria. Este trabalho propõe a análise de aspectos de nossa modernidade presentes na obra de Fernando Namora a partir da década de 1950, tais como o esfriamento das relações, a luta pela manutenção do status social, a fragilidade das máscaras sociais. O trabalho tem como objetivo ainda a observação de ideais que perpassam toda a trajetória literária do autor, como o desejo de pertencimento e a necessidade de convívio humano. Para tanto, pretende levantar cenas de O Homem Disfarçado e de outras narrativas de Fernando Namora que abordam esses aspectos.
A escrita de Guimarães Rosa: um compromisso do coração
Authors: Coutinho Eduardo
Published: June 2020

Ao colocar em xeque a linguagem e a estrutura narrativa tradicional da literatura brasileira, através da ruptura de todo o convencional e das inovações que introduziu em seu processo de escrita, Guimarães Rosa realizou, com sua obra, uma verdadeira revolução no sistema literário nacional. Essa postura, que por um lado o aproximou da que fora adotada pelas Vanguardas do princípio do século XX e do Modernismo brasileiro da primeira fase, e, por outro, induziu críticos, particularmente euro-norte-americanos, a vê-lo como um “pós-moderno”, será discutida neste trabalho, a partir de fragmentos extraídos de momentos distintos de sua narrativa, que teve como uma de suas mais fortes preocupações a de que é “somente renovando a língua é que se pode renovar o mundo”.
Journal of Applied Science, Engineering, Technology, and Education
Authors: Ahmar AS
Published: June 2020

Journal of Applied Science, Engineering, Technology, and Education (ASCI) is an international wide scope, peer-reviewed open access journal for the publication of original papers concerned with diverse aspects of applied science, technology, engineering, and education. ISSN 2685-0591 (Online)
The Analysis of Total Flavonoid Levels In Young Leaves and Old Soursop Leaves (Annona muricata L.) Using UV-Vis Sepctrofotometry Methods
Authors: A. Makuasa Dian Anriani , Ningsih Purnama
Published: June 2020

Soursop ( Annona muricata L.) is a type of fruit plant that contains nutrients and is a traditional medicinal ingredient that has multiple properties. This study aims to determine total flavonoid levels in young and old soursop leaf extracts using a UV-Vis spectrophotometry. Extraction of chemical content in young and soursop (Annona muricata L.) leaf extracts was carried out by maceration methos using 96% ehtanol solvent. Determination of total flavonoid levels of sample extracts was carried out through absorpation measurements at a wavelength of 432 nm. The result of the quantitative test were obtained from this study, namely total flavonoid levels in the samples of young soursop leaf extract as much as 410,833 mg/100g, whereas in large soursop leaf extract samples as many as 505,208 mg/100g.
Iot based Live Student Tracking System
Authors:   Associate Professor, Dept. of Computer Science and Engineering, Sri Krishna College of Engineering and Technology, Coimbatore., Senathipathi Dr.K. , Gandhi A Rahul ,   computer science engineering at Sri Krishna College of Engineering and Technology, Coimbatore, Tamil Nadu., C Sanjay ,   computer science student pursuing his studies at Sri Krishna College of Engineering and Technology, Coimbatore, Tamil Nadu., S Vasanth ,   computer science Engineering student pursuing at Sri Krishna College of Engineering and Technology, Coimbatore, Tamil Nadu.
Published: June 2020

The IOT based live student tracking system is a mobile application ensuring the safety and security of the students. The main objective of the application is to build a smart watch for a school students.Now a days teachers and parents are worry about children because of the large amount students are bunking their classes.On certain cases,the teachers did not know about where the student is currently available and our proposed system gives a technical solution for the above problem.The system consists of school unit and bus unit which interact with the user.The school unit consists of a Bluetooth Low Energy device which is like a watch,that is used to send information once the student is out of Bluetooth range and also if the watch is removed by the student and the bus unit consists of mobile module where the app is placed.The parents acts like a end user,they can get a student exact location in their mobile phones.With this help of mobile application the parents and teachers can lively track the students location.
Deep Learning Model for Plant Disease Detection
Authors:   Department Of CSE,JNTUACEP Badvel,India, Babu D.Raghunath Kumar , Chaithanya M. ,   Department Of CSE,JNTUACEP, Madanapalle,India., Sandhya M. ,   Department Of CSE,JNTUACEP, Nellore,India., Shireesha G. ,   Department Of CSE,JNTUACEP, Jammalamadugu,India
Published: June 2020

Food is one of the basic needs of human being. We know that the population is rising enormously.so it is more important to feed such a huge population. But nowadays plants are largely affected with various types of diseases. If proper care should not be taken then it will show effect on quality of food products, quantity and finally on productivity of crops.. so, Early detection of plant disease is very essential, but it is very hard to farmers to monitor the crops manually it takes more processing time, huge amount of work, expensive and need expertised persons. Automatic detection of plant diseases helps the farmers to monitor the large fields easily,because our approach of using convolution neural networks provides a chance to discover diseases at the very early stage. By using Image Processing and machine learning models we can detect the plant diseases automatically but the accuracy is very less, early detection is also a major challenge. With the modern advanced developments in deep learning, in our project we have implemented the convolution neural networks(CNN) which comprises of different layers,by using those layers we can automatically detect and classify the diseases present in the plants. High Classification accuracy and more processing speed are the main advantages of our approach. After training the model on color, grayscale and segmented datasets our deep learning model will be capable of classifying a large number of different diseases and our project gives us the name of the disease that the plant has with its confidence level and also provides remedies for corresponding diseases.
Opportunity Research of using Network Project Groups in Organizing the Production of IT- Products and the Principles of Motivation for the Effectiveness of the Group's Functioning
Authors:   PhD in Economics, Senior Lecturer, Moscow Aviation Institute (National Research University), Moscow, Russia., Tikhomirova* Anastasia M. , Komarova Natalia V. ,   PhD in Economics, Associate Professor, Moscow Aviation Institute (National Research University), Moscow, Russia., Dadyan Karen E. ,   Graduate Student, Moscow Aviation Institute (National Research University), Moscow, Russia.
Published: June 2020

The article shows the relevance of creating network project groups in the organization of production of Information Technology (IT)-products. The goal of the study was identified, the decomposition of this goal was carried out, and other components of the logical structure of the study were identified. The hypothesis of the study is the following: when transforming an ordinary project group into a network one, characteristics are acquired that ensure the success of the project group and increase the competitiveness of IT-companies, using appropriate methods of motivation. The scientific novelty of the work lies in the fact that the relationship between the use of the network design approach and the company's competitiveness in the implementation of complex and non-standard projects in the IT-companies’ organization of production is revealed. Features of employees’ motivation of such divisions are revealed and fundamentally new solutions in the field of employees’ motivation of IT-companies are defined.
An Analysis of Non-Linear Contrast Enhancement Methods of Digital Image
Authors:   Department of Information Technology, Panimalar Institute of Technology, No.391, Bangalore Trunk Road, Varadharajapuram, Poonamallee, Chennai - 600 123, Tamil Nadu, India., Saravanan* Thillai Sivakavi , Priya V Shenbaga ,   Department of Computer Science, Computer Applications School of Computer Information and Mathematical Sciences B.S. Abdur Rahman Crescent Institute of Science & Technology Seethakathi Estate GST Road(Chennai-Trichy National Highway, NH45, Vandalur, Tamil Nadu 600048, India
Published: June 2020

Digital image distinction sweetening is that the technique of enhancing the character of the digital image by using varied strategies so as to seem higher. Image distinction sweetening techniques ar divided into Linear and Non-Linear distinction sweetening. Linear distinction sweetening works by increasing the first input worth of the info associate degreed Non -linear distinction sweetening normally works by utilizing bar graph feat through the utilization of an rule. This paper analyses the non-linear distinction sweetening techniques in terms of image sweetening. From the analysis, it's found that bar graph feat outperforms alternative non-linear distinction sweetening techniques.
Smart Surveillance System using Deep Learning
Authors:   Assistant Professor, Department of Computer Science and Engineering, Jeppiaar Institute of Technology, Chennai, India, Dayana* Mrs. R , Suganya Mrs. M ,   Assistant Professor, Department of Computer Science and Engineering, Jeppiaar Institute of Technology, Chennai, India., P Balaji ,   Department of Computer Science and Engineering, Jeppiaar Institute of Technology, Chennai, India., Thahir A Mohamed ,   Department of Computer Science and Engineering Jeppiaar Institute of Technology, Kanchipuram, Tamil Nadu, India., P Arunkumar ,   Department of Computer Science and Engineering Jeppiaar Institute of Technology, Kanchipuram, Tamil Nadu, India.
Published: June 2020

In industry and research area big data applications are consuming most of the spaces. Among some examples of big data, the video streams from CCTV cameras as equal importance with other sources like medical data, social media data. Based on the security purpose CCTV cameras are implemented in all places where security having much importance. Security can be defined in different ways like theft identification, violence detection etc. In most of the highly secured areas security plays a major role in a real time environment. This paper discusses the detecting and recognising the facial features of the persons using deep learning concepts. This paper includes deep learning concepts starts from object detection, action detection and identification. The issues recognized in existing methods are identified and summarized.
Validity and Reliability Analysis of the Baldrige Excellence Framework Scale in the Electrical & Electronics Manufacturing Companies in Malaysia
Authors:   Universiti Tun Hussein Onn Malaysia, Faculty of Technology Management and Business, 86400 Malaysia., Fok-Yew* OON , Aziati ABDUL HAMID Nor ,   Universiti Tun Hussein Onn Malaysia, Faculty of Technology Management and Business, 86400 Malaysia., Hazana ABDULLAH Nor ,   Universiti Tun Hussein Onn Malaysia, Faculty of Technology Management and Business, 86400 Malaysia.
Published: June 2020

This paper aims to examine the validity and reliability of the Baldrige Excellence Framework scale in the Electrical and Electronics (E&E) manufacturing companies in Malaysia. This study is using a survey questionnaire for collecting data. The survey instrument was designed according to the Baldrige Excellence Framework criteria. Stratified random sampling from four sub-sectors of E&E manufacturing companies has employed and follow by simple random sampling with estimated 325 sample size. The analysis of this scale validation was carried out by using PLS-SEM 3.2 to assess the validity and reliability of the survey questionnaire. The outcomes in this research further affirmed that the instrument used was met the acceptable range of validity and reliability. The sample framework and sample size are the E&E manufacturing industry which indicates that the result cannot be generalized to another industry due to potential differences. This study shall guide future business excellence research in the manufacturing setting by using the validated measures in the findings. It also offers the manufacturing managers measures to identify the level of their organization’s business excellence in the E&E manufacturing companies. Hence, improvement programs can be designed to further improve their business results. This research probably the early study to examine the Baldrige Excellence Framework 2019-2020 deployment in manufacturing companies of Malaysia E&E. The study findings concluded that all instruments are valid and reliable, also suited to the context of Malaysia.
A Phonetic Level Analysis of Dysarthria in Kannada Language
Authors:   Research Scholar, Department of Electronics and Communication Engineering, GSSS Institute of Engineering and Technology for Women, Mysuru, Karnataka, INDIA, Affiliated to VTU, Belagavi, Karnataka, INDIA., M* Latha. , Shivakumar Dr. M. ,   PRINCIPAL, GSSS Institute of Engineering and Technology for Women, Mysuru, Karnataka, INDIA, Affiliated to VTU, Belagavi, Karnataka, INDIA., R Dr. Manjula. ,   Former Professor, All India Institute of Speech and Hearing,Mysuru
Published: June 2020

Dysarthria is a motor speech disorder and the most common neurodegenerative disease characterized by low volume in precise articulation, poor coordination of respiratory and phonatory subsystems, irregular pauses and so on. The challenging factor in improving the communication with dysarthria is speech intelligibility. The intelligilibility of speech can be determined by measuring the acoustic characteristics and phonetic structures of speech. In our analysis, we have concentrated on bisyllabic words in the Kannada language. The analysis is carried out with respect to basic acoustic parameters and spectrogram to extract fundamental frequency, formant frequency, jitter, shimmer, HNR and Standard Deviation using PRAAT tool. These results are helpful to identify and differentiate the complex natural frequency of the vocal tract functions with respect to normal subjects and dysarthria subjects. This study provides inputs to increase efficacy in the clinical assessments for monitoring and diagnosing the speech disorders for improving communication among human beings.
Time-Table to Mobile Reminders
Authors:   Department of Computer Science & Engineering, Universal college of Engineering, Vasai,India, Surti Rishabh , Chavan Divyesh ,   Department of Computer Science & Engineering, Universal college of Engineering, Vasai,India, Saturwar Dr. Jitendra ,   Head Of Department of Computer Science & Engineering Universal college of Engineering, Vasai,India
Published: June 2020

‘Time–table to Mobile Reminders’ is an Android software aimed towards faculty and student use in schools, colleges and other institutions. The idea to built this app arose because in an education institution keeping track of timetable becomes an tedious job for the teachers and students as well. In order to tackle this problem we decided to built an app that would automate the reminders without any hassle, the only input has to be an image of the time-table. This project is divided into four modules. This includes capturing the image of the time-table, scanning and extracting text from the image using OCR with the help of OpenCV and Tesseract, Identifying the text stored in excel file and classifying it into date, time and lecture, and then Setting reminder accordingly in the app itself. In this way, the faculty or the student will receive a notification on their device a few minutes before the lecture is about to commence without having to look for physical timetable or even digital for that matter every time.
Combustion of Agricultural Wastes/Coal in Circulating Fluidized Bed
Authors:   Department of Mechanical Engineering, Jouf University, Saudi Arabia Kingdom, Youssef * Mahmoud A M , Abdelmotalib Hamada M ,   Mechanical Power Engineering Department, Minia University, Egypt
Published: June 2020

This paper presents an experimental investigation on circulating fluidized bed (CFB) combustion of one of agricultural wastes (faba bean hulls) and co-combustion faba bean hulls and Egyptian (Sinai) coal. The test rig is a pilot scale CFB combustor of 145 mm inner diameter, 2 m tall and 100 kW thermal capacity. The influences of excess air, degree of air staging, bean hull particle size and coal share were studied. Temperature, heat flux, CO, NOx and SO2 concentrations along the reactor height and flue gas out from cyclone were measured. The combustion efficiency was calculated based on CO emission and unburned char in flue gas. The results showed that size reduction of bean hulls results in lower CO and NOx emissions. The induction of secondary air has a negative effect on combustion efficiency. The highest efficiency recorded for bean hulls combustion was 98.5% at excess air ratio (EA) =1.09 without secondary air. Co-combustion of Sinai coal and bean hulls reduced CO and NOx emissions but increased SO2 emissions. The results suggest that bean hulls are potential fuel that can be utilized for efficient and clean energy production by using CFB combustion system especially at co-combustion.
Silkworm Yield Prediction in Attibele Region using Machine Learning Technique
Authors:   MSc Computer Science, CHRIST (Deemed to be University), Bangalore, Karnataka, S M* Manoj
Published: June 2020

Sericulture is the processes of cultivation of silkworms to produce cocoons which are used for the production of silk or to produce eggs. This research work is carried out with respect to the Attibele region (Karnataka State in India). There are various species of silkworms that are grown in the world, and the yield of silk varies with climatic change. Why climatic changes important for rearing of silkworms? Because they are very sensitive for temperature and humidity fluctuations. For example if the temperature is high and humidity is low or the temperature is low and humidity is high, the silkworms become unhealthy. In this paper we have calculated the climatic conditions that is to be maintained in the future for obtaining the optimal yield of the silkworms. The work also aims to provide the remedies to be taken for the betterment of the production, both in terms of farm-land and cocoons.
Data Deduplication for Efficient Storage on Cloud using Fog Computing Paradigm
Authors:   Student, B. tech in CSE, Manav Rachna International Institute of Research & Studies, Faridabad., Sharma* Shubham , Jain Richa ,   Student, B. tech in CSE, Manav Rachna International Institute of Research & Studies, Faridabad, Mrs. Pronika  ,   Assistant Professor, CSE department of Manav Rachna International Institute of Research and Studies, Faridabad
Published: June 2020

Cloud services have taken the IT world by storm by making its services available to everyone over large geographic area. With the increasing amount of data generate every minute it has become increasing difficult to manage resources and the storage. Thus, data compression techniques like data de duplication that aims at executing the redundancy of data and forming chunks of data that can be stored on a distributed system can be proved to a logistic solution. But when it comes to cloud problems like security has always been a major issue. In order to eliminate these challenges, we need to implement a layer of fog computing they would deal with the shortcomings of cloud computing and at the same time present a filtration front before the incoming data.
Design of Fractional Order PID (FOPID)for Load Frequency Control Via IMC & Grey Wolf Algorithm (GWO), for a Non-Reheated Power System by Comparing with the Big Bang Big Crunch (BBBC) Optimization
Authors:   Department of EEE, Gokaraju Rangaraju Institute of Engineering & Technology, Hyderabad, India., Bhanupradeep Bhavandla , Padhan Dr. Dola Gobinda ,   Professor, Department of EEE, Gokaraju Rangaraju Institute of Engineering & Technology, Hyderabad, India.
Published: June 2020

In this paper work deals about the application of Grey Wolf Optimizer (GWO) for optimization of fractional order PID (FOPID) controlling device to the frequency disturbance, of system load in the one (or) single area non re-heated electrical system and also comparison to the non re-heated BBBC optimization outputs. In this BBBC optimization we have the two bounding cases (low & upper), they are before and after the perturbation cases. And also we observed that the BBBC output responses. After finding the BBBC outputs we observed that the settling time value of load frequency of BBBC is more when compared with the GWO. This problem is resolved by designing of FOPID via GWO algorithm. The Grey Wolf Optimization is well known meta-heuristic algorithm and has been previously used for optimization of various conventional PID and FOPID controllers. In this paper the GWO is used for optimization of FOPID controller to the load frequency variation in the electrical system for non reheated turbine electrical system .the execution outputs of the proposed controlled method also validated to the other existing techniques.
Virtual Reality based Hologram for Emergency Situation
Authors:   Student, BE, Department of Computer Science and Engineering, Easwari Engineering College, Abina M , Pavna S Jayashree ,   Student, BE, Department of Computer Science and Engineering,Easwari Engineering College, Chennai, India, Shetty Malavika ,   Student, BE, Department of Computer Science and Engineering,Easwari Engineering College, Chennai, India, Heera S Sri ,   Assistant Professor, Department of Computer Science and Engineering,Easwari Engineering College,Chennai, India
Published: June 2020

Virtual reality is seen as an elite way for viewing and it has the potential to target a wide range of applications. Holography is a pictorial method that records the light scattered from an object, presenting it in a way that appears in a 3D form. During mining the miners will be in need of certain essential requirements to make their work more efficient. Existing system only detects if there isany dangers inside the mines and does not provide with the required items to the miners. The proposed system focuses on providing these essential requirements. The items include Hearing protection device, PAPRs, foot protection, clothes, belts and D-rings and self-rescue device. We have conducted a survey based on various algorithms and methods that are used to create a hologram and for analysing holographic image. The survey tells us that methods like Rule based approach which requires large amount of data is used to classify human activities. Multiplexing is used to combine many signals into one and produce an image. These systems have various issues when it comes to time and performance. It provides with some handy data on some of the encouraging milestones that have been attained in hologram acquisition, display and processing.
Does Selection of Open Source Cloud Computing Platforms is a Confusing Task?
Authors:   Department of Computer Science, Sukkur IBA University, Sukkur, Pakistan, Ali* Hafiz Ahmed , Shaikh Khisaluddin ,   Department of Computer Science, Sukkur IBA University, Sukkur, Pakistan, Chohan Murk ,   Department of Computer Science, Sukkur IBA University, Pakistan, Memon Kainat Fareed ,   Department of Computer Science, Sukkur IBA University, Sukkur, Pakistan, Saleem Muhammad ,   Department of Computer Science, Sukkur IBA University, Sukkur, Pakistan,, Khan Adil ,   Department of Computer Science, Sukkur IBA University, Sukkur, Pakistan
Published: June 2020

Over the last few years the majority of small and large companies moving to cloud computing to develop IT solutions for businesses. It is technology which provides distributed and dynamically shared computing resources using certain operating techniques. In the revolution of information technology, cloud computing is becoming a key paradigm. Cloud computing further classified as Public, Private and Hybrid Cloud. It provides three services which are categorized as Infrastructure-as-Service, Platform-as-Service and Software-as-Service. Open source cloud management platforms providing Infrastructure-as-a-service are now commonly used because of the fastest growth of cloud. Many open source softwares are available for deploying public or private cloud. This paper provides a brief review and comparison of five well-known open source cloud software i.e. OpenNebula, Eucalyptus, OpenStack, Nimbus and CloudStack providing IaaS on the basis of their similar features and technology used. After reviewing the importance and features, we have found OpenStack Cloud Platform is more reliable and useful for the enterprises and organization because of its feature and rapid improvements in its features. The distinction in this paper is believed to help people to choose the suitable open source software according to their need.
Eco Friendly Pipe Hose Cleaning System
Authors:   Mechanical Engineering, Pune University, Pune, India., Kulkarni Mangirish S , Tare Omkar A ,   Mechanical Engineering, Pune University, Pune, India., Kamble Rupesh B ,   Mechanical Engineering,Pune University,Pune, India.
Published: June 2020

It is inevitable that the oil in a hydraulic system will contain contamination in particle form. The sources and types of oil-borne contaminants are well known and will include particles of silica’s, metals flakes, elastomers and fibers of hydraulic hose material. Sizes and concentration of particulate contaminants are indicated. There is considerable interest among manufacturers and users of hydraulic systems in establishing acceptable limits of contaminations in which particular systems will operate satisfactorily. Such information would be used to 1) Specify the degree of filtration required in the system 2) Specify the contamination sensitivity of the system 3) Define the contamination tolerance level of the system To this end, it is necessary to gather reliable data on the performance of system components under controlled contaminated oil conditions. Thus, we designed a new Eco-friendly portable setup which does not use hazardous liquids to clean hose. Instead the setup uses a fresh, clean pressurized atmospheric air; hence there is no harmful effect on human health and contamination of environment.
Stabilization of Red Soil using Potassium Hydroxide Treated Polypropylene Fiber
Authors:   Research Scholar , Department of Civil, BIT Sindri, Dhanbad , Jharkhand , India, Mishra* Niket Kumar , Mishra Dr.M.K. ,   Department of Chemistry, BIT Sindri, Dhanbad , Jharkhand , India, Singh Prof J.P. ,   Department of Civil, BIT Sindri, Dhanbad, Jharkhand , India
Published: June 2020

Red soil is not commonly used alike other kind of soils in engineering field. So, a trial is created to stabilize the red soil by adding potassium hydroxide treated polypropylene fibers. This project work aims to search out the effect of addition of 0%, 0.25%, 0.5%, 0.75%, 1%, 1.25% treated polypropylene fibers to stabilize the red soil. Its consistency properties, compaction properties, and strength parameter are tested. In this project the results of addition of treated polypropylene fiber is investigated and is compared therewith of the untreated red soil. The testing program was conducted in two phases. Within the first phase, the physical, and chemical engineering properties of the red soil samples were studied by conducting Specific gravity, Grain size distribution, Liquid limit, Plastic limit, UCS and CBR Tests. Within the second phase of the test program, red soil was mixed with 0%, 0.25%, 0.5%, 0.75%, and 1% of treated polypropylene fiber as percentage of dry weight of red soil. After mixing different percentage of polypropylene fiber and conducting various tests we ought to observed that the value of UCS was increased by 93.12% at 0.75% PP fiber, which makes clear that higher load can be beared after adding it. The value of MDD was also increased by 3.3 %. The soaked CBR value has been increased from 4.24% to 6.37% with 0.75% of polypropylene fiber by which it’s cleared that it can be used for pavement in areas where water table is high. Unsoaked CBR value has been increased from 8.32% to 11.06% with 0.75% of polypropylene fiber.Which make clear that we can increases the slope of pavement for stability of slope and also reduce the thickness of pavement in highway and railway which reduces the cost of construction.So, we observed that 0.75 % of treated polypropylene fiber can be used to stabilize the red soil.
Voice Controlled Vehicle Dashboard
Authors:   Student ,Bachelor of Engineering, Electronics and Telecommunication, Pimpri Chinchwad College of Engineering Nigdi,, Pagar* Shridhar D. , Pote Shivani J. ,   Student ,Bachelor of Engineering, Electronics and Telecommunication, Pimpri Chinchwad College of Engineering Nigdi, Anmulwar Ankush S. ,   Student ,Bachelor of Engineering, Electronics and Telecommunication, Pimpri Chinchwad College of Engineering Nigdi, Shinde Mrs. Ashwini S. ,   Assistant Professor, Department of Electronics & Telecommunication, Pimpri Chinchwad College of Engineering Nigdi
Published: June 2020

Driving a vehicle or a car has become tedious job nowadays due to heavy traffic so focus on driving is utmost important. This makes a scope for automation in Automobiles in minimizing human intervention in controlling the dashboard functions such as Headlamps, Indicators, Power window, Wiper System, and to make it possible this is a small effort from this paper to make driving distraction free using Voice controlled dashboard. and system proposed in this paper works on speech commands from the user (Driver or Passenger). As Speech Recognition system acts Human machine Interface (HMI) in this system hence this system makes use of Speaker recognition and Speech recognition for recognizing the command and recognize whether the command is coming from authenticated user(Driver or Passenger). System performs Feature Extraction and extracts speech features such Mel Frequency Cepstral Coefficients(MFCC),Power Spectral Density(PSD),Pitch, Spectrogram. Then further for Feature matching system uses Vector Quantization Linde Buzo Gray(VQLBG) algorithm. This algorithm makes use of Euclidean distance for calculating the distance between test feature and codebook feature. Then based on speech command recognized controller (Raspberry Pi-3b) activates the device driver for motor, Solenoid valve depending on function. This system is mainly aimed to work in low noise environment as most speech recognition systems suffer when noise is introduced. When it comes to speech recognition acoustics of the room matters a lot as recognition rate differs depending on acoustics. when several testing and simulation trials were taken for testing, system has speech recognition rate of 76.13%. This system encourages Automation of vehicle dashboard and hence making driving Distraction Free.
An Augmented Reality based Learning App
Authors:   Professor and Head. Department of Computer Science and Engineering , Sri Shakthi Institute of Engineering and Technology, Coimbatore, India., Kannammal* Dr.K.E. , kumar P.Bharath ,   Department of Computer Science and Engineering, Sri Shakthi Institute of Engineering and Technology, Coimbatore, India., Keerthi A.M. ,   Department of Computer Science and Engineering, Sri Shakthi Institute of Engineering and Technology, Coimbatore, India., Mahalakshmi R. ,   Department of Computer Science and Engineering, Sri Shakthi Institute of Engineering and Technology, Coimbatore, India., Rafi Mohammed ,   Department of Computer Science and Engineering, Sri Shakthi Institute of Engineering and Technology, Coimbatore, India.
Published: June 2020

There are so many different types of applications that deal with various sectors of augmented reality, that provides augmented facility for learning. But there is no particular augmented reality software that is designed to detail out information of the interior parts of the human body with its organs, thus we have initiated and designed an augmented reality application that shows all the information and 3D Models about the interior organs of the human body, we need to know about with the help of some special markers present physically in every iconic spot. This information displayed visually is dynamically maintained and also provides the Students with a 3D visual of the Human organs, where the students will be given an application with several pictures for visualizing the 3D model of the organs with its interior parts. This could greatly help the students to gain knowledge about body parts by using mobile phone and also this will help the students to increase their memory power by visualizing them.
Development of Spinning Monitor to Facilitate the Sider in Textile Mills
Authors:   is currently working as assistant professor ,Electronics and Instrumentation Engineering, Kongu Engineering College, Erode, India., Madhanmohan Mr.M. , Akshaya A. ,   is currently working as assistant professor ,Electronics and Instrumentation Engineering, Kongu Engineering College, Erode, India., Anjali E. ,   is currently working as assistant professor ,Electronics and Instrumentation Engineering, Kongu Engineering College, Erode, India., Dharshinidevi A. ,   is currently working as assistant professor ,Electronics and Instrumentation Engineering, Kongu Engineering College, Erode, India., Harish V. ,   is currently working as assistant professor ,Electronics and Instrumentation Engineering, Kongu Engineering College, Erode, India.
Published: June 2020

In India, textile mills occupy a vital role in exporting the quality materials and offering above 35 million people employment opportunities. In India Textile mills run over 24x7, siders working inside covering area of 500 meters working in the spinning process runs continuously to monitor and set right the yarn breakage instantly to minimize the production loss. During the spinning process, siders need to monitor around more than 2000 spindles at every instant of time, makes them restless and leads to the unproductive work due to continuous walk to cover the entire spindle area even though the yarns in many of the spindles is unbroken. Due to this, the efficiency of the sider, as well as production and its quality, is affected. To avoid this, prototype model developed with IR sensors arrangement in each spindle to monitor the broken yarn and shares the broken yarn spindle information to the respective sider through the android device and take the sider to the particular spindle location to set right the yarn through line follower robot. The output of the sensor continuously support to monitor the status of yarn as soon as it is noticed,Through android devices linked via cloud computing make the sider to have productive work in set right the yarn with very less effort. In this paper, the efficiency of the spinning mills is improved and eradicates continuous manual monitoring of yarn breakages by siders, reduces their time and walking distance per shift through integrating of simple IR sensors through cloud computing.
Assessment of Different Security Mechanisms and Methods to Protect Data in the Cloud Computing Enviornment
Authors:   Professor CGC, Technical Campus,Jhanjeri, Moudgil Dr.Manu Raj , Lamba Dr.Anil Kumar ,   Professor, CGC, Technical Campus,Jhanjeri, Gupta Er.Priya ,   Assistant Professor, ACET, Barnala
Published: June 2020

Cloud Computing has a several advantages, but it also carries additional issues like security, application security, virtualization security, authentication, access control and identity management. This paper is focusing on the current research relating on the cloud computing. This paper visualizes and deals on the various areas of security parameters in the cloud computing which includes Risk Management, Framework, Compliance, Interoperability, Lifecycle Management, Internet access Security, Data Centre Operations, Business Continuity, Incident Response, Key Management and Encryption, Access Management and identity, Dynamic access Security and Static Access Security and a lot more. In this paper we use various assessments and classification results to clear the similarities, also to exploring the various differences in the architectural methods of the cloud computing and further to determine the arears demanding with research. This paper provides findings and the assessments which can help the researcher to analysing the finest scenario for designing a well secured environment of cloud computing.
Extractive and Abstractive Text Summarization Techniques
Authors:   Research Scholar,CSE Department, K.L.N. College of Information Technology, Pottapalyam,Sivagangai Dist., Prabha* PL. , Parvathy Dr.M. ,   Professor , CSE Department, Sethu Institute of Technology, Pulloor,Kariapatti
Published: June 2020

Text summarization generates an abstract version of information on a particular topic from various sources without modifying its originality. It is essential to dig information from the large repository of data, thereby eliminating the irrelevant information. The manual summarization consumes a large amount of time and hence an automated text summarization model is required. The summarization can be performed from a single source or multiple sources. The Natural Language Processing (NLP) based text summarization can be generally categorized as abstractive and extractive methods. The extractive methods mine the essential text from the document whereas the abstractive methods summarize the document by rewriting. The extractive summarization methods rely on topics and centrality of the document. The abstractive techniques transform the sentences based on the language resources available. This paper deals with the study of extractive as well as abstractive strategies in text summarization. Overall objective of this paper is to provide a significant direction to the researchers to learn about different strategies applied in text summarization.
Qualitative SMI based Cloud Service Selection using Intuitionistic Fuzzy TOPSIS
Authors:   Assistant Professor, CSE Department ,School Of Engineering ,Presidency University, T* Thasni , Kalaiarasan C. ,   Associate Dean, School Of Engineering, Presidency University.
Published: June 2020

Cloud Computing allows access to a public resource pool on demand and easy network connection for the same. Due to the popularity and profits of using Cloud Services, many organizations are moving to Cloud .So selecting a suitable and best Cloud Provider is a challenge for all the users. Many ranking approaches had been proposed for solving this multicriteria decision making problem like AHP, TOPSIS etc. But many of the works focused on quantitative QoS attributes .But qualitative attributes are also important in the case of many application scenarios where the user may be more concerned about the qualitative attributes. CSMIC has released Service Measurement Index attributes for effectively comparing the Cloud services. The comparison of Cloud Service providers based on SMI attributes which are qualitative in nature by using a ranking approach that handles fuzziness in the dataset is the objective of this paper. The proposed approach uses the MCDM algorithm called Technique for Order Preference by Similarity to ideal Solution and uncertainty is handled by Intuitionistic fuzzy values. The qualitative SMI attributes are used as criteria for ranking the Cloud Services.