bluuebunny/crossref_metadata_2025 huggingface dataset:
Identification of Product Originality Based on Supply Chain Management Using Block Chain
Authors: P Sheela Rani , S Sankara Revathi , J S Dharshini , M Rekha
Published: November 2020

The Internet of Things (IOT) is integrated with supply chain management process to track the product. To track the product smart tags is used. The smart tags like QR code and NFC is used. But with the technology enhancement the block chain is introduced into the supply chain management process. The block chain is the great revolution that data in the centralized form is transformed in to a decentralized manner. The distributed Ledger Technology (DLT) is one of the method used in ethereum block chain. The main advantage of using DLT is, it offers decentralized, privacy-preserving and verifiable process in the smart tags. In existing system only single server was used to maintain all the process like supplier, manufacturer and distributor. In this application we are using different server which was more secure than existing system. The proposed solution in this paper is it checks the product evidence during the entire lifecycle of the product by using the smart contract. The data can be immutable by using smart contract with ethereum block chain. The duplication is manipulated by the block chainserver.
Web Based Application for Cloud Security and Compliance
Authors: K Priyanka , R Priya
Published: November 2020

cloud computing service is the most important services for many of the organizations. The service providers must ensure of their security and protection techniques to guarantee to protect the client data. There are some cloud security guidelines that supports the cloud data security are need to be followed by the vendors. Despite the fact, the vendors are facing the mess of security and protection controls and eventually leads to an confusion among the consumers on concerning the safety efforts and whether their measures satisfies the security measures. An inclusive report to survey the risk and security issues faced by cloud consumers have depicted to control the hazards. In light of this investigation, an ontology describing the cloud security controls, threats and compliances framed. a web based cloud application is designed to recommend the cloud security policies from the ontology such that it also helps the existing cloud providers. Security strategies can also be planned by the consumers by utilizing the web application that describing the ontology
Analysis of Data Mining Techniques in Diagnalising Heart Disease
Authors: P Nagaraj , M Aakash , M Arunkumar , K Balananthanan , A Dharanidharan , C Rajkumar
Published: November 2020

Data mining is a technique used for extracting the hidden database technology on a large database. Further, the medical data mining became extremely important research field due to its importance in the development of various applications in developing health care of every domain. While summarizing the deaths occurring over worldwide, the heart disease appears to be the leading cause. The identification of the possibility of heart disease in a person is a very complicated task for medical practitioners because it requires a few years of experience and intense medical tests to be conducted frequently. The main objective of this significant research work is to identify the best and suitable classification algorithm used for providing maximum accuracy when classification of normal and abnormal person is carried out. Thus the loss of lives can be controlled.
Design and Development of Textile Sensor for Kyphosis Detection
Authors: I Yamuna , A Abirami , S Esther Florence , R Vimal Samsingh
Published: November 2020

The proposed system is to design and develop a textile sensor. People suffering from kyphosis disease may have a hunchedback appearance due to forward bend in spinal cord. The textile sensor is based on piezoresistivity, where change in resistance is observed due to mechanical bending of the sensor. Thesensor is designed in such a way that it can detect any bend in the spinal cord. The initial design has been developed using a flex sensor. The proposed sensor is made up of five layers in total with a piezoresistive layer sandwiched in between two conductive layers. The top and bottom of the structure is then covered with a dielectric layer to form a complete wearable textile sensor. The performance of the sensor is then analyzed for two outer covers, felt and polyester. The piezoresistive material used in this sensor is velostat. The performance of the flex sensor and the developed piezoresistive textile sensor have been compared and analysed.
An Analysis on Entity Recognition and Existence of Images in Video
Authors: M Maheswari , M S Josephine , V Jeyabalaraja
Published: November 2020

Humans can effortlessly notice and perceive objects found in a photograph and video. Human visual system is speedy, correct and performs complicated tasks like identifying multiple entities and spot obstacles. An Entity is referred as an object. Object detection in videos entails verifying the presence of an item in image sequences. It is related to many real time appliances like car belief, video surveillance and so forth. The aim of this paper is to investigate and assess the distinctive strategies that are used in item tracking and detection through the usage of video sequences.
Evaluation of Ensemble Machines in Breast Cancer Prediction
Authors: S LeenaNesamani , S NirmalaSugirthaRajini
Published: November 2020

Breast cancer is one of the most deadly diseases encountered among women for which the cause is not clearly defined yet. Early diagnosis may help the physicians in the treatment of this deadly disease which could turn out fatal otherwise. Machine Learning techniques are employed in the process of detecting breast cancer with greater accuracy. Individual classifiers employed in this process, predicted the disease with less accuracy when compared with ensemble models. Ensemble methods employ a group of classifiers to individually classify the data. It then combines the result of the individual classifiers using weighted voting of their predictions. Ensemble machines perform better than individual models and show improved levels in the accuracy of the prediction system. This paper examines and evaluates different ensemble machines that are used in the prediction of breast cancer and tries to identify the combinations that prove to be better than the existing ones.
A Survey on Image Retrieval Techniques
Authors: K Lalitha , S Murugavalli
Published: November 2020

In the recent years, with the rapid development of technologies production, digital images tend to grow in exponential order. This makes the challenge in retrieving image. Image retrieval plays a vital role in various fields such as Medical, Tourism promotion, Forensics Lab etc. In order to handle these rapid growth efficient images retrieval methods need to be developed. This paper is presented with the survey of different Image retrieval techniques which used various techniques from visual features to the latest deep learning with Convolutional Neural Network(CNN) which become the best approach for image retrieval with number of layers applicable for large database. This survey concretes the way to understand the processing methods of Content Based Image Retrieval (CBIR).
Smart Aquarium Management System
Authors: S Balasubramani , S Aakash Ram , S Akshay Bharadwaj , N Bennet Niffin
Published: November 2020

In modern days, many people have fish as their pets at home. The fishes have been fed by the aquarist in the aquarium tanks which demands a proper setup for maintenance. The problems faced are change in water quality, feeding the fish, maintaining the temperature, controlling the lights and difficult to check the conditions of an aquarium manually. Therefore, it’s necessary to monitor the physical parameters closely and enhance the water condition. So, this project proposes a system which is equipped with sensors to be operated in real time. It performs temperature monitoring, water pH level detection, aeration system and water renewal operations. An IoT based system is implemented to monitor and deliver the status of the aquarium to user’s mobile application. Thus, an intelligent aquarium management has been implemented so that the fish is neither over nor under fed and thereby reducing the manual effort required in maintenance of aquarium.
Efficient Data Migration Method in Distributed Systems Environment
Authors: N Natheeswari , P Sivaranjani , K Vijay , R Vijayakumar
Published: November 2020

Database Migration is a segment of a business application arrangement process wont to refresh changes in customer databases. This is frequently a significant procedure in application condition. Subsequently every association applies inventive information relocation strategies for refreshing their customer’s databases. These updates are typically more steady in nature than the intermittent updates performed under conventional discharge rehearses. Visit little updates make every movement less unsafe. Be that as it may, just in the event of tremendous updates, relocation process hinders prompting off base and inadequate changes. During this task, the HRAPP application framework’s database refreshes are moved utilizing another dependable and tedious strategy. We applied Continuous Integration and Continuous Deployment strategy for information relocation. Nonstop joining and arrangement pipeline technique might be a product improvement practice where designers consistently blend their code changes into a focal vault, after which computerized fabricates and tests are run. Here, arrangement code changes are consequently assembled, tried, and prepared for a discharge to creation. These movement documents are taken care of consequently through the sending pipeline, and changes to the databases are refreshed bolstered the relocation record. Right now, talk about how effectively database relocation are frequently executed with ceaseless joining and organization pipeline technique.
Scratch Detection in Cars Using Mask Region Convolution Neural Networks
Authors: K Vijay , R Vijayakumar , P Sivaranjani , R Logeshwari
Published: November 2020

This task depends on quality control in the vehicle business. It centers on the imprint and harms in new cars before producing to the client. This project presents the development of a system of recognition of defects and cosmetic imperfections in cars. This application gives a quick and strong robotized results. It likewise gives framework acknowledgement of scratches. In the as of now existing framework, the way toward distinguishing the scratches in car is finished by our mankind. Using the input frames, sections of the vehicles are entered for training, the last Fully-connected layer is altered so that it only has two exit categories: Sections with scratches and without scratches. This project is mainly developed to minimize manpower and maximize automation on quality department in automobile industry. It is a computer vision project. It includes task such as acquiring, processing, analyzing and understanding digital images and extraction of high dimensional data. An image processing algorithm is used in order to manipulate an image to achieve an aesthetic standard and to provide a translation between the human visual system and digital imaging services.
Polarization tensor vanishing structure of general shape: Existence for small perturbations of balls
Authors: Kang Hyeonbae , Li Xiaofei , Sakaguchi Shigeru
Published: November 2020

The polarization tensor is a geometric quantity associated with a domain. It is a signature of the small inclusion’s existence inside a domain and used in the small volume expansion method to reconstruct small inclusions by boundary measurements. In this paper, we consider the question of the polarization tensor vanishing structure of general shape. The only known examples of the polarization tensor vanishing structure are concentric disks and balls. We prove, by the implicit function theorem on Banach spaces, that a small perturbation of a ball can be enclosed by a domain so that the resulting inclusion of the core-shell structure becomes polarization tensor vanishing. The boundary of the enclosing domain is given by a sphere perturbed by spherical harmonics of degree zero and two. This is a continuation of the earlier work (Kang, Li, Sakaguchi) for two dimensions.
Water Quality Data Outlier Detection Method Based on Spatial Series Features
Authors: Yan Jianzhuo , Gao Ya , Yu Yongchuan
Published: November 2020

Outlier detection is one of the major branch in data mining which has been applied in different fields. Researchers have focused on the outlier detection in time series, but rarely spatial series. In this paper, we propose a new outlier detection method based on k-nearest neighbour (KNN) and Mahalanobis distance, which is first applied to the water field. Experimental results verify that the algorithm has good accuracy and effectiveness in outlier detection for water quality spatial series dataset.
Federated Learning in Big Data Application and Sharing
Authors: Yang Jing , Zhang Quan , Liu Kunpeng , Jin Peng , Zhao Guoyi
Published: November 2020

In recent years, electricity big data has extensive applications in the grid companies across the provinces. However, certain problems are encountered including, the inability to generate an ideal model using the isolated data possessed by each company, and the priority concerns for data privacy and safety during big data application and sharing. In this pursuit, the present research envisaged the application of federated learning to protect the local data, and to build a uniform model for different companies affiliated to the State Grid. Federated learning can serve as an essential means for realizing the grid-wide promotion of the achievements of big data applications, while ensuring the data safety.
Exploration on the Construction of Sharing Platform of Power Big Data Application
Authors: Yang Jing , Zhang Quan , Gong Lihua , Zhu Longzhu , Liu Kunpeng
Published: November 2020

Big data application sharing supermarket is a big data application sharing portal. The first, one or more enterprise users can share and use the same big data application product. This product comes from the contribution of enterprise users of a certain sharing supermarket. In this way, we can solve the problem of unbalanced development of big data capabilities, and avoid repeated construction and repeated investment in the same kind of big data applications; the second. Through such a sharing platform, many enterprises carry out cooperation such as federal learning to jointly create big data application products.
The Mechanism Analysis of the Accelerator for Support Vector Regression Based on Data Partition
Authors: Song Yunsheng , Li Fangyi , Liu Jianyu , Zhang Juao
Published: November 2020

Support vector regression is an important algorithm in machine learning, and it is widely used in real life for its good performance, such as house price forecast, disease prediction, weather forecast, and so on. However, it cannot efficiently process large-scale data, because it has a high time complexity in the training process. Data partition as an important solution to solve the large-scale learning problem mainly focuses on the classification task, it trains the classifiers over the divided subsets produced by data partition and obtain the final classifier by combining those classifiers. Meanwhile, the most existing method rarely study the influence of data partition on the regressor performance, so that it is difficult to keep its generation ability. To solve this problem, we obtain the estimation of the difference in objective function before and after the data partition. Mini-Batch K-Means clustering is adopted to largely reduce this difference, and an improved algorithm is proposed. This proposed algorithm includes training stage and prediction stage. In training stag, it uses Mini-Batch K-Means clustering to divide the input space into some disjoint sub-regions of equal sample size, then it trains the regressor on each divided sub-region using support vector regression algorithm. In the prediction stage, the regressor merely offers the predicted label for the unlabeled instances that are in the same sub-region. Experiment results on real datasets illustrate that the proposed algorithm obtains the similar generation ability as the original algorithm, but it has less execution time than other acceleration algorithms.
Research on the Internal Relationship Characteristics and Their Influences of Knowledge Sharing Multilevel Network in Q&A Community
Authors: Chen Xiaohui , Hu Ping
Published: November 2020

The virtual communities have become the main position for people to create and share content in today’s society. It not only realizes the dissemination of knowledge and information, but also promotes the formation of the relationship between users. The traditional related studies treat all information in Internet as knowledge, which deviate from the real situation. Therefore, this paper uses text classification technology to classify the answer texts under the topic of “English learning” in the “Zhihu” Q&A community, and extract the real knowledge under the topic. On this basis, a multilevel network about answer-users’ knowledge sharing is constructed, and three subgroups with different users’ node degree are divided. The multilevel network exponential random graph models are used to explore the influence of local structural characteristics formed by the relationship between users on the whole multilevel network. The results show that: When the node degrees of answer-users are small and the network structure is stable, the initiative of sharing knowledge is small and the homogeneity of knowledge content is high; if there are structural holes in the network, answer-users will create an obvious clustering effect, and the heterogeneity of shared knowledge is high; for the subgroup with the largest answer-users’ node degree, the relationship between users is tight and the network structure is stable, then the shared knowledge is more heterogeneous.
All About Animals
Authors: Glauer Deborah J. , Cantrell Joy
Published: November 2020

Florida 4-H Animal Science Program workbook.

https://edis.ifas.ufl.edu/4h106
Food Fundamentals Leader's Guide
Authors: Jordan Joy C. , Cook Linda D.
Published: November 2020

Produced by the Florida 4-H Youth Programs and Department of Family, Youth and Community Sciences, University of Florida Cooperative Extension, Institute of Food and Agricultural Sciences, February, 1999; reviewed, June 2002.

https://edis.ifas.ufl.edu/4h150
Plant Connections Leader's Guide
Authors: Easton Janice , Glauer Deborah J.
Published: November 2020

4-H PLANT CONNECTIONS was developed through a team effort of the Department of Family, Youth and Community Sciences, Institute of Food and Agricultural Sciences, The Florida 4-H Youth Development Office and the Departments of Horticultural Sciences and Environmental Horticulture, University of Florida. Original publication date May 1997. Reviewed June 2006.

https://edis.ifas.ufl.edu/4h192
Constructing a Southwest Florida Bell Peppers Enterprise Budget
Authors: Wade Tara , Hyman Barbara , McAvoy Eugene
Published: November 2020

Enterprise budgets can assist with forecasting as well as help managers coordinate resources, make production decisions, examine expenditures, and anticipate outcomes from changes in production practices. They can help producers determine what to produce, how many acres to produce, the cost of production, and the necessary price to be profitable. This 6-page fact sheet written by Tara Wade, Barbara Hyman, and Eugene McAvoy and published by the UF/IFAS Food and Resource Economics Department describes the process used to create the 2018-19 enterprise budget for bell peppers in southwest Florida.
FRAGSTATS: A Free Tool for Quantifying and Evaluating Spatial Patterns
Authors: Chen Benxin , Iannone III Basil V.
Published: November 2020

Human activities such as urbanization and agriculture have triggered rapid land cover change, resulting in the loss of natural ecosystems. Land managers managers seeking to plan effectively for future land use that preserves biodiversity and the valuable services provided by natural ecosystems must understand land cover change and its environmental impacts. Quantifying patterns of land cover change objectively in order to understand them can be difficult without the proper resources, however. This 9-page fact sheet written by Benxin Chen and Basil V. Iannone III and published by the UF/IFAS School of Forest Resources and Conservation introduces one such resource, a free software called FRAGSTATS. Readers will learn to create input data, run the FRAGSTATS software, and interpret outputs. A few basic concepts of landscape ecology and GIS are included, but this fact sheet is intended for readers with at least some GIS knowledge.
Métodos para el establecimiento de trasplantes de fresa en Florida
Authors: Torres-Quezada Emmanuel , Zotarelli Lincoln , Whitaker Vance M. , Agehara Shinsuke , Gandini-Taveras Ricardo
Published: November 2020

Florida es el segundo productor de fresa más grade de los Estados Unidos, con un valor estimado de $337 millones y un área plantada de 9,400 acres en 2017.  La siembra inicia entre finales de septiembre y mediados de octubre, en momentos donde las altas temperaturas representan un reto significativo para la sobrevivencia de los trasplantes, y por tanto también para el rendimiento y la calidad. Tradicionalmente, un alto volumen de agua es necesario para asegurar el establecimiento apropiado de las plantas de fresa. Sin embargo, la conservación de agua es un objetivo establecido en el estado, dado que el alto consumo de agua ha sido propuesto como la causa de la caída de los acuíferos en Florida, incrementado el número de sumideros y posos secos en el área de Plant City. El propósito principal de esta publicación es proporcionar recomendaciones basadas en resultados de investigación sobre métodos de establecimientos de trasplantes para productores de fresas en la Florida.https://edis.ifas.ufl.edu/hs1378
Great Purple Hairstreak; Great Blue Hairstreak, Atlides halesus (Cramer) (Insecta: Lepidoptera: Lycaenidae)
Authors: Hall Donald W. , Butler Jerry F.
Published: November 2020

The great purple hairstreak, Atlides halesus (Cramer), is one of our most beautiful southern butterflies. Although it is most commonly known as the great purple hairstreak, it has no purple on it. The brilliant iridescent scales on the upper surface of the wings from which it gets its name are blue, not purple. This document is EENY-110, one of a series of Featured Creatures from the Entomology and Nematology Department, Florida Cooperative ExtensionService, Institute of Food and Agricultural Sciences, University of Florida. Published: August 1999.

https://edis.ifas.ufl.edu/in267
Olive Fruit Fly, Bactrocera oleae (Gmelin) (Insecta: Diptera: Tephritidae)
Authors: Weems Howard V. , Nation James L.
Published: November 2020

This document is EENY-113 (originally published as DPI Entomology Circular No. 44), one of a series of Featured Creatures from the Entomology and Nematology Department, Florida Cooperative Extension Service, Institute of Food and Agricultural Sciences, University of Florida. Published: September 1999. Revised: June 2003.
Formosan Subterranean Termite, Coptotermes formosanus Shiraki (Insecta: Isoptera: Rhinotermitidae)
Authors: Su Nan-Yao , Scheffrahn Rudolph H.
Published: November 2020

This document is EENY-121 one of a series of Featured Creatures from the Entomology and Nematology Department, Florida Cooperative Extension Service, Institute of Food and Agricultural Sciences, University of Florida. Published: January 2000. Revised: May 2000.

https://edis.ifas.ufl.edu/in278
Imported Cabbageworm, Pieris rapae (Linnaeus) (Insecta: Lepidoptera: Pieridae)
Authors: Capinera John L.
Published: November 2020

This document is EENY-126 one of a series of Featured Creatures from the Entomology and Nematology Department, Florida Cooperative Extension Service, Institute of Food and Agricultural Sciences, University of Florida. Published: March 2000.

https://edis.ifas.ufl.edu/in283
UF/IFAS Extension Soil Testing Laboratory (ESTL) Analytical Procedures and Training Manual
Authors: Mylavarapu Rao
Published: November 2020

Previous version:

Mylavarapu, Rao, and Elizabeth Kennelley. 1. “UF/IFAS Extension Soil Testing Laboratory (ESTL) Analytical Procedures and Training Manual”. EDIS 2002 (5). https://doi.org/10.32473/edis-ss312-2002.
Understanding Extension for School-Based Agricultural Education #1: Extension 101
Authors: Barry Debra , Diaz John , Shepherd Alyssa , Patton Jennifer , Gran Stephen
Published: November 2020

This article and series were designed primarily for use by secondary agriscience teachers in school-based agricultural education programs (SBAE) to help build a strong understanding of Extension and the role of Extension professionals. An important part of access and use of Extension services is understanding its background, structure, and function. This initial publication in the Understanding Extension for School-Based Agricultural Education series provides agricultural educators and the general public with a basic understanding of Extension. This new 4-page publication of the Department of Agricultural Education and Communication was written by Debra Barry, John Diaz, Alyssa Shepherd, Jennifer Patton, and Stephen Gran.https://edis.ifas.ufl.edu/wc372
Scientist for all time. The 120th anniversary of the birth of Gilberto Freyre
Authors:   Institute of Latin America of the Russian Academy of Cience, Natalia Konstantinova
Published: November 2020

The article is devoted to the creative heritage of the outstanding Brazilian scientist Gilberto Freire and is timed to coincide with the 120th anniversary of his birth. The author examines the process of forming a future scientist and analyzes the evolution of his views throughout his creative life. Particular attention is paid to his main work - the voluminous study “Casa Grande e Senzala”, which laid the foundation for the Brazilian sociological school. Freire's innovative ideas regarding the positive role of racial mixing in Brazil and the impact of this phenom-enon on the subsequent fate of the country and its people are analyzed. Special attention is paid to the contradictory political views of J. Frey-ri. The role of the contribution of this multifaceted scientist to the development of Brazilian and world humanitarian thought is emphasized. In conclusion, it is concluded that in the era of globalization, the works of Gilberto Freire are still relevant, primarily in the context of the problem of national and cultural identity.
A Survey on Factors of Information System Adoption Model
Authors: Noprisson Handrie
Published: November 2020

Many research has been found the result IS adoption model in different case studies in various companies. The result can be knowledge to support success of information systems adoption such as TAM that has been dominating in the use of the IS adoption model in many case studies. However, lack of research delivered a literature review to collect and gather information the factors and model to know the development and use of IS adoption model in this era. This paper attempted to present factors and model of the IS adoption model. The different this paper with previous research is the object of implementation which is the model that can implement to Enterprise 2.0. As the result, we found the main factors of IS adoption model are technology, organizational, competency, personal, environment and others. We also gathered several IS adoption model, including TOE Framework, Theory of use and non-use, TAM, the role of an affect; technology, management, and people perspective; socially drive characteristic; major characteristics of social software; TOS; Innovation diffusion theory and social capital theory; cultural and social dilemma, and UTAUT.
Camshot-Hand Written Text Recognition and Object Detection Application
Authors: Badkas Suvarn , Desai Deep , Jadav Harshrajsinh
Published: November 2020

Text recognition is a technology which has ability to recognize text from images automatically developed in computer device. Tremendous demand is seen for storing the information available in physical papers into a storage disks and can be reuse this data by searching process. A simple way is to scan documents and store it as image. But reusing this data is becomes difficult to read contents and search these documents line by line or word by word. Quality of images and font characteristics of paper are main concerns. Computer devices are unable to identify these characters while reading them. Thus, character recognition methods are much needed to identify texts from images which converts paper format to digital format. In this paper we have discuss a method for text recognition from images using google firebase services like ML kit, in particular order of different processing module for better understanding.
Stock Market Prediction using Data Mining Techniques
Authors: Makker Karunesh , Patel Prince , Roy Hrishikesh , Borse Sonali
Published: November 2020

Stock market is a very volatile in-deterministic system with vast number of factors influencing the direction of trend on varying scales and multiple layers. Efficient Market Hypothesis (EMH) states that the market is unbeatable. This makes predicting the uptrend or downtrend a very challenging task. This research aims to combine multiple existing techniques into a much more robust prediction model which can handle various scenarios in which investment can be beneficial. Existing techniques like sentiment analysis or neural network techniques can be too narrow in their approach and can lead to erroneous outcomes for varying scenarios. By combing both techniques, this prediction model can provide more accurate and flexible recommendations. Embedding Technical indicators will guide the investor to minimize the risk and reap better returns.
Comprehensive Study of Blockchain Technology - Architecture, Consensus and Future Trends
Authors: Joshi Shreya , Bhavyaa Ms , Gupta Suhani , Luthra Lalita
Published: November 2020

Blockchain is considered to be a disruptive core technology. Although many researchers have realized the importance of blockchain, but the research of it is still emerging. It is the record-keeping technology behind bitcoin and is one of the hottest and fastest growing skills in the IT sector today. It serves as an immutable ledger which allows transactions to take place in a decentralized man Blockchain-based applications are rising up, covering numerous fields including finance, healthcare, product management, Internet of Things (IoT), and many more. However, there are still some challenges of blockchain technology such as scalability and security problems which need to be overcome. This paper comprises of a comprehensive study of Blockchain technology. We have included here a deep dive into how blockchains work, its architecture, consensus and various applications. Furthermore, technical challenges are briefly listed.
Energy Management Techniques for Cloud Based Environment
Authors: Juneja Neenu , Singh Chamkaur , Tuli Krishan
Published: November 2020

Cloud Computing has the facility to transform a large part of information technology into services in which computer resources are virtualized and made available as a utility service. From here comes the importance of scheduling virtual resources to get the maximum utilization of physical resources. The growth in server’s power consumption is increased continuously; and many researchers proposed, if this pattern repeats continuously, then the power consumption cost of a server over its lifespan would be higher than its hardware prices. The power consumption troubles more for clusters, grids, and clouds, which encompass numerous thousand heterogeneous servers. Continuous efforts have been done to reduce the electricity consumption of these massive-scale infrastructures. To identify the challenges and required future enhancements in the field of efficient energy consumption in Cloud Computing, it is necessary to synthesize and categorize the research and development done so far. In this paper, the authors prepare taxonomy of huge energy consumption problems and its related solutions. The authors cover all aspects of energy consumption by Cloud Datacenters and analyze many more research papers to find out the better solution for efficient energy consumption. Keywords: Cloud computing, Collocated virtual machines, Live migration, Load balancing, Resource scheduling
Face Recognition Service Model for Student Identity Verification Using Deep Neural Network and Support Vector Machine (SVM)
Authors: I. Vivian Ngonadi , Anderson Ise Orobor
Published: November 2020

Impersonation in the context of examination, is a situation where a candidate sits in an examination for another candidate pretending to the real candidate. In many institutions in Nigeria, to mitigate this act, students are expected to present a means of identification before entering the examination hall. However, this approach is not sufficient to determine the eligibility of a student for an examination as these means of identification can easily be falsified. This paper therefore, develops a face recognition web service model for student identity verification using Deep Neural Network (DNN) and Support Vector Machine (SVM). The aim is to mitigate examination impersonation by simple face scan using mobile phone and also to make such a model accessible and re-usable for seamless integration with any kind of student identity verification project.
Diferencia entre la alimentación complementaria clásica y el baby-led weaning en niños de 4 a 12 meses de edad
Authors: García de la Cruz Paula Berenice , González Alcalá María Gabriela , Jiménez Vinatier Natalia , Olivares Pérez Carolina Elizabeth , Ramírez Reyes Tessy Paulina , Sandoval Solís Zaida Lizeth , Pedroza García Karina Alejandra , Martín del Campo Cervantes Judith
Published: November 2020

La introducción adecuada de los alimentos es importante en la salud y crecimiento del lactante. Actualmente se pueden seguir distintas técnicas como lo es el Baby-Led Weaning (BLW), el cual, a diferencia de la técnica de alimentación complementaria clásica, es autorregulado por el lactante. En la Norma Oflcial Mexicana NOM-043-SSA2-2012, Servicios básicos de Salud. Promoción y educación para la salud en materia alimentaria, se establecen los criterios a seguir para una correcta introducción de alimentos. Objetivo: comparar el peso y la longitud en los lactantes que siguieron la alimentación complementaria clásica y el BLW, así como los índices antropométricos. Material y métodos: estudio descriptivo comparativo longitudinal realizado en 26 lactantes divididos en dos grupos; el primero siguió la técnica de alimentación complementaria clásica y, el segundo, la técnica de BLW; se realizaron tres mediciones mensuales de peso y talla para comparar y evaluar los índices antropométricos peso/longitud (P/L), peso/edad (P/E) y longitud/edad (L/E). Resultados: no se encontraron diferencias signiflcativas al comparar los índices antropométricos de ambas técnicas de alimentación; por lo que ambos métodos son recomendables. Se sugiere que se realicen más estudios con una muestra más grande y considerar otras variables como el desarrollo psicomotor. LUXMÉDICA AÑO 15, NÚMERO 45, SEPTIEMBRE-DICIEMBRE 2020, PP 73-80.
Determinantes de la capacidad de innovar en países de la OCDE
Authors: Favila-Tello Antonio , Armas-Arévalos Enrique
Published: November 2020

La innovación es uno de los temas centrales que explican el desempeño económico de los países. Sin embargo, no todas las naciones han desarrollado las capacidades necesarias para generar innovaciones comerciables y aprovechar sus beneficios. Tomando como unidad de análisis a los países de la Organización para la Cooperación y el Desarrollo Económicos (OCDE), el presente trabajo parte de la hipótesis que indica que la capacidad de innovación de estas naciones se encuentra determinada positivamente por sus instituciones, su infraestructura, su capital humano, su sofisticación de mercado y su sofisticación de negocios. El instrumento utilizado para medir estas relaciones fue un modelo lineal generalizado (GLM, por sus siglas en inglés). Los resultados sugieren que tres de los cinco determinantes seleccionados son estadísticamente significativos. El mayor poder explicativo del modelo se encontró en la sofisticación de negocios, seguida del capital humano y la sofisticación de mercado.
Roberto Muñoz Guerrero. In memoriam
Authors: Bazán-Trujillo Ivonne , Leija-Salas Lorenzo
Published: November 2020

XXX
Indicadores de bienestar animal: Acercamiento desde pequeñas unidades de producción de ovinos bajo un sistema semiintensivo
Authors: Mondragón-Ancelmo Jaime , García-Hernández Patricia , Gómez-Tenorio Germán , Del Campo-Gigena Marcia , Napolitano Fabio
Published: November 2020

Con el fin de evaluar los principios (alimentación, instalaciones, salud y comportamiento) de bienestar de los ovinos en pequeñas unidades productivas (PUP) se aplicó el protocolo de Indicadores de Bienestar Animal (Animal Welfare Indicators, AWIN por sus siglas en inglés) modificado para las condiciones de PUP del noroeste del Estado de México. Se evaluaron 10 PUP con un total de 217 ovinos. Los resultados arrojan un índice de bienestar animal bueno (2.34) en las PUP evaluadas. Este valor fue afectado por los indicadores condición corporal, mortalidad, suciedad de la lana, mutilación de la cola, anemia producida por parasitosis interna evaluada por el método FAMACHA (apócope de François Malan Chart) y zona de fuga. Para validar y generalizar la herramienta generada en este estudio, futuros trabajos deberán ampliar la muestra de PUP y de ovinos participantes.
Cladocolea loniceroides, un nuevo registro para la flora de Aguascalientes, México
Authors: Sandoval-Ortega Manuel Higinio , Siqueiros-Delgado María Elena
Published: November 2020

La familia Loranthaceae está integrada por 77 géneros y alrededor de 950 especies principalmente hemiparásitas, entre ellas se encuentra Cladocolea loniceroides (Tiegh.) Kuijt que es una especie endémica de México, anteriormente reportada para Colima, Ciudad de México, Guerrero, Jalisco, México, Michoacán, Morelia y Oaxaca. El objetivo del presente trabajo es reportar la presencia de Cladocolea loniceroides para Aguascalientes y proporcionar descripciones taxonómicas de género y especie para su identificación. Dentro del estado, C. loniceroides se localiza dentro de la ciudad de Aguascalientes parasitando especies ornamentales.
Modelación matemática de la hidrodesintegración de fracciones de petróleo utilizando uno a seis lumps
Authors: Legorreta-Trejo Norma Angélica , Elizalde-Martínez Ignacio , Monterrubio-Badillo Ma. del Carmen , Mederos-Nieto Fabián S.
Published: November 2020

Se realizó la modelación matemática de la reacción de hidrodesintegración de fracciones de petróleo considerando una fase pseudohomogénea. Se empleó la descripción discreta para representar la cinética de las reacciones. Se utilizaron de uno hasta seis grupos de pseudocomponentes o lumps con diferentes rutas de reacción. Se utilizaron datos de la literatura de la hidrodesintegración de hidrocarburos de petróleo para obtener los parámetros de los modelos matemáticos. Para el modelo de más de un grupo o lump se utilizó la aproximación sucesiva automática, resolviendo el sistema de ecuaciones comenzando con un lump, dos, o tres y así sucesivamente, verificando que siempre se cumpliera el balance de materia. Se encontró buena concordancia entre el modelo y los datos experimentales para las aproximaciones utilizadas, destacando el uso de seis lumps, a partir de cuya descripción es posible determinar la composición de los productos de hidrodesintegración de una forma detallada y confiable.
The Batsheva Dance Company Archive Project
Authors: Lana Iris
Published: November 2020

The article discusses the Batsheva Dance Company Archive Project, conducted by a team I headed in the years 2012–2015. 1 The analysis of this project will assist in understanding both its significance as an archival act of documenting the past, and its influence on the company's present and on Israeli dance. The method of analysis will include a description of the different practices involved in constructing a dance archive; a contextual discussion of archival practices; and a theoretical discussion, principally in the context of changes in current archiving practices and developments in critical thinking about dance as a discipline. The description of the course of events in this article mainly relies on my personal experience and involvement as director of the Batsheva Dance Company Archive Project. The different proceedings, goals, considerations and decisions were documented in monthly reports and in the project's concluding document, and so assisted in tracing the chronicle and details of events. 2
Alberto Spadolini's Box: Dance, Silence and the Archive
Authors: Simonari Rosella
Published: November 2020

The Italian dancer and painter Alberto Spadolini was rediscovered when a box containing numerous documents relating to his artistic life was recovered in 1978 by his nephew, Marco Travaglini. This box forms the core of the archive assembled by Travaglini since 2004, containing valuable information about his uncle who had been largely-neglected. Spadolini (1907–1972) was born in Ancona, Italy, studied in Rome during the 1920s and moved to France in the 1930s. In 1932, he became a famous music-hall dancer performing in solo numbers and group works with Josephine Baker and Mistinguett, among others. Throughout the decade he came to be known as ‘the nude dancer’, possibly owing to the skimpy costumes he usually wore and his statuesque body. From the 1940s he began painting a series of works featuring ballerinas in tutus. He never spoke to his nephew about his life as dancer, so that when Travaglini found the box, he was amazed at what he discovered. The box constitutes a precious archive, containing photographs, posters, articles, and reviews relating to Spadolini's career as a dancer and painter. I intend to analyse Spadolini's box using methodological tools from archive studies and from dance and cultural history, with particular attention to the concept of cultural hegemony, in order to establish the fundamental importance of such archives to the recovery of neglected figures like Spadolini.
Unexpected fatal empyema in a previously healthy woman
Authors: Metin Aksu Nalan , Özdamar Yasemin , Akkaş Meltem
Published: November 2020

Streptoccoccus pyogenes is gram + aerob coccus and it is described as group A Streptococcus (GAS) according to the Lancefield classification. GAS may cause pneumonia and pleural effusion rarely.Herein we reported a 43 years old previously healthy woman presented to the Emergency Department (ED) with the complaint of chest-back pain and shortness of breath. During her follow up she developed septic shock due to the empyema. 13rd hour of her admission, cardiopulmonary arrest developed and she died in spite of the appropriate and immediate treatment. 2 days later after her admission, streptoccoccus pyogenes was detected in her pleural effusion and blood culture. In conclusion clinicians should be aware of this potential fatal condition also in healthy patients and start the treatment immediately.
Kekuatan Lentur Papan Komposit Hasil Kombinasi Perentase Ijuk dan Cangkang Telur Ayam
Authors: Mahdi Muhammad , Hadi Syamsul
Published: November 2020

The production of chicken egg is increasing every year, causing a lot of eggshell waste and abundance of natural materials of palm fiber (ijuk), but not used properly. The purpose of the research is to get the weight percentage variation of composite palm fiber and chicken eggshell with resin as a matrix. The method of this research include: the making of composite specimen from polyester resin Yukalac 157 BQTN-EX with added palm fiber and eggshell as a filler with sizes according to ASTM-D 7264, testing the composite specimens and Mahogany wood, and to analysis data from the test results is processed using Two-Way Anova to determine the effect of the percentage of palm fiber and chicken eggshell weights on flexure strenght composite. The result of flexural test show that the lowest yield strenght is on compotition of 4% palm fiber and 1% eggshell worth 11,3 MPa, and the highest yield strenght is on compotition of 9% palm fiber and 4% eggshell worth 87,7 MPa.
Modifikasi Alternator dan Sistem Kelistrikan Untuk Peningkatan Daya Listrik Sepeda Motor 125 cc
Authors: Agus Salim Alfi Tranggono , Darmawan Eko , Fakhrudi Yoga Ahdiat , Siregar Izhary , Balkhaya Balkhaya , Pulungan Muhammad Anhar , Sufiyanto Sufiyanto , Salamoni Thenny Daus
Published: November 2020

The alternator on the motor is one component of the vehicle that can be used to improve its utilization.  Modifications to the alternator on the vehicle are made to increase electric power. The working principle of an electric generator is in accordance with the law of faraday if a conductor is rotated in a magnetic field until it crosses the magnetic force line (GGM), it will cause an electric force line (GGL) in volts at the end of the conductor. In the alternator to be used, the lighting coil resistance is 0.24 - 0.36 Ω and the charging is 12.3 - 13.3 V at 1500 rpm. The research conducted was an experiment by comparing the alternator output voltage before it was modified with the alternator output that had been modified. Modification of the alternator is done by the method of load variation and replacement of the diameter of the coil along with the number of turns on the alternator. Measurement of alternator before and after modification shows results that are directly proportional to the output of the alternator at 1,000 rpm - 8,000 rpm. The results of three tests can be concluded that the modification of the alternator has increased from 6.42 A for the standard alternator to 13.7 A for the modification alternator.
IMPLEMENTATION OF SYNCHRONOUS AND ASYNCHRONOUS E- LANGUAGE LEARNING IN EFL SETTING: A CASE STUDY
Authors: Riwayatiningsih Rika , Sulistyani Sulistyani
Published: November 2020

Teaching and learning process since the pandemic time has shifted away from the traditional face to face classroom into online distance learning, and this will be undergo in the post pandemic. This case study aimed to investigate the effectiveness use of the combined modes of synchronous and asynchronous in e- language learning for university students. While both types of that learning approach have its importance in different scenario. The research questions to be answered in the study was how the adoption of synchronous (discussion activity platform) and asynchronous (learning content platform) would be more effective in e- language learning. 55 university participants from the second semester of English Department who joined the online creative writing class in synchronous and asynchronous language learning activity received the survey questionnaire as the sampling of the collected data. The data from the interview was also obtained to get the learners insights regarding the course experiences.The results showed that the applying of the combination approach in online learning has been greatly effective in helping the learners in terms of the community interaction and  material engagement. Moreover, the learners’ response about the using blended mode of synchronous and asynchronous for their learning is very positive. Some suggestions to enfold the problems over the online learning  are also provided.