bluuebunny/crossref_metadata_2025_split huggingface dataset:
Prática como Componente Curricular: entendimentos, possibilidades e perspectivas<br>About math teaching practice in distance education: understanding, possibilities and prospects
Authors: Zabel Marília , Malheiros Ana Paula dos Santos 
Published: May 2018

Este artigo tem como objetivo discutir os conceitos de Prática como Componente Curricular (PCC) existentes na literatura e problematiza-los, buscando fortalecer tais questões no âmbito da Educação, em particular da Educação Matemática. Para isso, contextualizamos a ideia da PCC a partir de documentos legais já instituídos referentes à formação inicial de professores e apresentamos um panorama das pesquisas e concepções de PCC presentes na literatura. Nesse movimento, observamos as dificuldades e distorções na implementação da carga horária de PCC nos cursos de Licenciatura em Matemática. Além disso, refletimos sobre uma disciplina específica com carga horária de PCC, que tem como tema principal as tecnologias digitais. Defendemos que a PCC esteja efetivamente presente nos cursos, buscando cada vez mais superar a dicotomia entre conhecimento específico e conhecimento pedagógico e enfatizamos que apenas políticas públicas não bastam para que mudanças efetivas aconteçam no contexto da formação inicial de professores. This paper aims to discuss the concepts of Practice as a Curricular Component (PCC) in the literature, seeking to consolidate this questions in the field of Education, in particular Mathematics Education. For this, we contextualize the idea of the PCC as from legal documents regarding the initial formation of teachers and we show an overview of the research and conceptions of PCC present in the literature. In this movement, we observed the difficulties and distortions in the implementation of hours of PCC in degree courses in mathematics. In addition, we reflect on a specific discipline with hours of PCC, that has as its main topic digital technologies. We advocate that the PCC be effectively present in the graduation, seeking to overcome the dichotomy between specific knowledge and pedagogical knowledge. We emphasize that only public policies are not enough for effective changes to occur in the context of initial formation teacher.
Qualidade de vida e resiliência em estudantes do ensino médio: um estudo epidemiológico na cidade de São Paulo
Authors: Benincasa Miria , Resende Manuel Morgado , Heleno Maria Geralda Viana , Custódio Eda Marconi 
Published: May 2018

O Objetivo deste estudo foi identificar os estudantes resilientes em uma amostra de 2434 alunos matriculados no ensino médio, na cidade de São Paulo. Considerou-se resiliente o participante que se destacou em comportamentos de saúde e que, frente à adversidade consegue supera-la, otimizando seus recursos pessoais e sociais. Estes estudantes foram selecionados a partir dos instrumentos aplicados, sendo eles: dois questionários de qualidade de vida, um sobre uso de droga e um sobre raciocínio verbal. Identificaram-se 11 resilientes que apresentaram desempenho acima da média geral da amostra total tantos nos instrumentos de qualidade de vida quanto no de raciocínio verbal. Por outro lado, mostraram consumo de substancia psicoativa abaixo da média. Verificou-se que os resilientes tem mais acesso à atividade de lazer; e obtiveram resultados mais elevados na análise da autoestima e do relacionamento com a mãe. Os programas de promoção de saúde devem levar em conta o fortalecimento das capacidades individuais, apoio às famílias, mobilização de recursos coletivos, medidas intersetoriais de lazer, cultura e segurança pública.
SENTIMEN ANALISIS TWEET PORNOGRAFI KAUM HOMOSEKSUAL INDONESIA DI TWITTER DENGAN NAIVE BAYES
Authors: Pudjajana Andre Maureen , Manongga Danny 
Published: May 2018

Media sosial adalah salah satu media yang menghubungkan orang-orang diseluruh dunia. Namun media sosial juga menjadi sarana untuk penyebaran hal-hal negatif seperti pornografi. Berita pornografi yang mendapat banyak perhatian ditahun 2017 yaitu pornografi pada kaum homoseksual yang melakukan pesta seks di beberapa kota di Indonesia. Kehadiran para kaum homoseksual dilarang di Indonesia dan mendapat diskriminasi dari masyarakat. Penolakan yang dialami membuat kaum homoseksual membuat kaum tersebut menggunakan media sosial seperti Twitter untuk membuka diri di khalayak umum, mencari pasangan sejenis, dan mencari penghasilan. Penelitian ini dilakukan sentimen analisis pada tweet Twitter sebagai text mining menggunakan metode Naïve Bayes. Tujuan penelitian ini adalah mengetahui hasil sentimen positif dan negatif terhadap data uji tweet dan berdasarkan hasil pengujian tersebut dapat disampaikan kepada pengguna Twitter secara luas untuk menggunakan Twitter secara tepat. Selain itu juga, perhitungan Naive Bayes dibandingkan dengan k-Nearest Neighbor (k-NN) untuk mengetahui tingkat akurasi. Hasil sentimen analisis terhadap 500 data uji menunjukkan bahwa nilai sentimen negatif sangat tinggi yaitu 68.4%. Sedangkan hasil perbandingan akurasi kedua metode adalah metode Naïve Bayes sebesar 87.48% dan k-NN 85.40% dimana metode Naïve Bayes lebih akurasi dibanding metode k- NN. Kata kunci: twitter, sentimen analisis, homoseksual, naïve bayes, k-NN.
IMPLEMENTASI AUGMENTED REALITY UNTUK IDENTIFIKASI LOGO DAN VIDEO SEBAGAI MEDIA INFORMASI MENGGUNAKAN METODE KLASIFIKASI NAIVE BAYESIAN
Authors: Putri Astrid Novita , Asmiatun Siti 
Published: May 2018

Pada Universitas Semarang Fakultas Teknologi Informasi dan Komunikasi setiap tahun selalu mempunyai banyak kegiatan seperti kegiatan Seminar, Workshop, Pelatihan, Festifal, dsb. Kegiatan- kegiatan tersebut biasanya didokumentasikan dalam bentuk foto dan video. Sedangkan untuk dokumentasi publikasi kegiatan dalam bentuk media promosi maupun media informasi belum dilakukan, sehingga masyarakat umum yang kurang familiar tidak dapat mengetahui informasi dengan kegiatan yang ada. Memanfaatkan aplikasi smartphone yang berbasis android, blackberry, dan iphone dapat menggunakan salah satu teknologi augmented reality 3D yang berfungsi untuk mengidentifikasi informasi melalui logo Fakultas TIK dan menerapkannya pada berbagai media cetak atau elektronik. Sehingga dengan adanya perubahan cara promosi tersebut diharapkan dapat menarik minat perhatian masyarakat umum dan masyarakat umum untuk mengetahui informasi mengenai kegiatan di Universitas Semarang khususnya Fakultas Teknologi Informasi dan Komunikasi. Pada penelitian ini, akan membahas bagaimana mengklasifikasikan kegiatan-kegiatan tersebut menggunakan metode naive bayes menjadi dua kategori yaitu favorit atau tidak favorit. Berdasarkan data foto dan video kegiatan FTIK tahun 2017 yang telah diimplementasikan menggunakan tools Unity 3D menunjukkan bahwa penerapan Augmented Reality untuk identifikasi logo sebagai media informasi menggunakan metode klasifikasi naive bayes dapat diimplementasikan dengan baik. Diharapkan dengan adanya klasifikasi kegiatan dengan memanfaatkan teknologi augmented reality yang diimplementasikan menggunakan tools Unity 3D, informasi yang dihasilkan akan lebih informatif dan menarik perhatian masyarakat umum.
DAUR ULANG PASIR SILIKA BEKAS INTI COR MELALUI TEKNIK BALL MILL UNTUK MENGEMBALIKAN DAYA IKATNYA
Authors: Slamet Sugeng , Bastian Yanuwar 
Published: May 2018

Teknik pengecoran merupakan metode pembentukan material logam yang sudah lama dikenal oleh manusia. Metode ini mempunyai banyak keuntungan yaitu dapat menghasilkan benda sesuai dengan aslinya, tidak dibatasi leh ukuran dan sesuai untuk produk massal. Media yang sering digunakan adalah pasir dan sebagian pola dilengkapi dengan inti cor. Pasir silika digunakan pengrajin cor untuk membuat inti cor. Pasir silika ini hanya bisa digunakan untuk sekali pakai untuk satu cetakan. Pasir silika tidak dapat digunakan lagi karena tidak mempunyai daya ikat antar partikelnya. Metode yang dilakukan adalah menghancurkan kembali bongkahan pasir inti bekas cor ke dalam mesin ball mill dengan variasi kecepatan putar, waktu giling, diameter dan jumlah bola baja yang digunakan per 1000 gr. Pasir silika selanjutnya dilakukan pengayakan dengan menggunakan mesh 100 dan 150. Hasil penggilingan dengan teknik ball mill menunjukkan bahwa kecepatan putar mesin ball mill yang meningkat tidak secara signifikan meningkatkan prosentase hasil. Penambahan waktu giling mampu meningkatkan prosentase hasil untuk semua ukuran mesh. Penambahan waktu giling dari 30 menjadi 60 menit pada kecepatan putar yang sama dan penambahan diameter bola dari 20 menjadi 25 mm mampu meningkatkan 14,10% lebih tinggi pada mesh 100. Perlakuan yang sama dengan mesh 150 terjadi peningkatan sebesar 3,88%. Pasir silika daur ulang digunakan untuk membuat kembali inti cor. Semakin kecil ukuran mesh pasir silika menunjukkan ikatan partikel yang lebih kuat dengan bentuk pola inti yang lebih sempurna.
Pengaruh dosis pupuk fosfor dan pupuk organik cair terhadap pertumbuhan dan hasil kacang hijau (Vigna radiata L.) pada ultisol Jatinangor
Authors: Wahyudin Agus , Nurmala Tati , Rahmawati R. D. 
Published: May 2018

Percobaan ini bertujuan untuk mengetahui pengaruh dosis pupuk fosfor dan pupuk organik cair terhadap pertumbuhan dan hasil tanaman kacang hijau (Vigna radiata L.). Percobaan dilaksanakan di kebun percobaan Fakultas Pertanian Universitas Padjadjaran, Jatinangor, Jawa Barat. Rancangan percobaan yang digunakan dalam penelitian ini adalah Rancangan Acak Kelompok (RAK) dengan sembilan perlakuan dan diulang tiga kali yaitu 50 kg ha-1 pupuk fosfor + O L ha-1 pupuk organik cair, 50 kg ha-1 pupuk fosfor + 4 L ha-1 pupuk organik cair, 50 kg ha-1 pupuk fosfor + 8 L ha-1 pupuk organik cair, 75 kg ha-1 pupuk fosfor + O L ha-1 pupuk organik cair, 75 kg ha-1 pupuk fosfor + 4 L ha-1 pupuk organik cair, 75 kg ha-1 pupuk fosfor + 8 L ha-1 pupuk organik cair, 100 kg ha-1 pupuk fosfor + O L ha-1 pupuk organik cair, 100 kg ha-1 pupuk fosfor + 4 L ha-1 pupuk organik cair, 100 kg ha-1pupuk fosfor + 8 L ha-1 pupuk organik cair. Hasil percobaan menun-jukkan bahwa perlakuan pupuk fosfor 50 kg dan pupuk organik cair 8 Lha-1 menghasilkan bobot biji per petak sebesar 298,68 gr dan hasil rata-rata per hektar sebesar 0,99 t ha-1. Kata kunci : Kacang hijau ∙ Pupuk fosfor ∙ Pupuk organik cair
Pengaruh Konsentrasi Benzyl Amino Purine terhadap Pertumbuhan Beberapa Klon Tanaman Teh (Camellia sinensis L.) O. Kuntze) Belum Menghasilkan di Dataran Rendah
Authors: Ayuningsari Indah , Rosniawaty Santi , Maxiselly Yudithia , Anjarsari Intan Ratna Dewi 
Published: May 2018

Pertumbuhan tanaman teh (Camellia sinensis L.) O. Kuntze) di dataran rendah dipengaruhi oleh faktor genetik dan faktor lingkungan. Faktor genetik berupa klon unggul dan faktor lingkungan berupa aplikasi hormon eksogen diharapkan mampu meningkatkan pertumbuhan tanaman teh belum menghasilkan (TBM) di dataran rendah. Penelitian disusun menggunakan Rancangan Petak Terbagi (RPT) dengan dua faktor perlakuan. Klon sebagai petak utama yang terdiri dari GMB 4, GMB 7, GMB 9, dan GMB 11. Konsentrasi Benzyl Amino Purine (BAP) sebagai anak petak yang terdiri dari 0 ppm, 30 ppm, 60 ppm, 90 ppm, dan 120 ppm. Hasil penelitian menunjukan adanya interaksi antara klon dan konsentrasi BAP terhadap pertambahan diameter batang pada 4 MSP. Konsentrasi BAP 60 ppm berpengaruh paling baik terhadap diameter batang dan jumlah tunas pada 2 MSP. Klon GMB 4 menunjukan hasil terbaik terhadap jumlah tunas.Kata kunci : TBM, Klon GMB, BAP
Image Edge Detection Using FPGA
Authors: Kumari Cms Amrutha , Badashah Syed Jahangir 
Published: May 2018

Medical imaging often involves the injection of contrast agents and subsequent analysis of tissue enhancement patterns. X-ray angiograms are projections of 3D reality into 2D representations, there is a fair amount of self occlusion among the vessels, hence one cannot extract the vessels directly using the image intensities or gradients (edge) alone. Vessels extraction from angiogram images is useful for blood vessels measurement and computer visualizations of the coronary artery. This project describes the algorithm for automatic segmentation of coronary arteries in digital X-ray projections here an improved k-means algorithm is proposed. The performance of the proposed algorithm is compared with other techniques.Â A methodology for implementing real-time DSP applications on a field programmable gate arrays (FPGA) using Xilinx System Generator (XSG) for Mat lab is presented in this paper. It presents the architecture for Edge Detection using Sobel Filter for image processing using Xilinx System Generator. The design was implemented targeting a Spartan3 a DSP 3400 device (XC3SD3400A-4FGG676C) then a vertex 5 (xc5vlx50-1ff676) .the edge detection methods has been verified successfully with no visually perceptual errors in the resulted images.
History Aware Anomaly Based IDS for Cloud IaaS
Authors: Gupta Punit , Kaliyar Pallavi 
Published: May 2018

Cloud Computing provides different types of servicesÂ such as SaaS, PaaS, IaaS. Each of them have their own security challenges, but IaaS undertakes all types of challenges viz., network attack ,behaviour based attack, request based attacksÂ i.e handling the requests from untrusted users, XSS (cross site scripting attack), DDOS and many more. These attacks are independent of each other and consequently the QoS provided by cloud is compromised. This paper proposes a History aware Behaviour based IDS (Intrusion Detection System) BIDS. BIDS provides detection of untrusted users, false requests that may lead to spoofing, XSSÂ or DOS attack and many more such attacks. In addition,Â certain cases where user login or password is compromised. History aware BIDs can be helpful in detecting such attacks and maintaining the QoS provided to the user in cloud IaaS ( Infrastructure as a service).
Trusted Cloud Platform for Cloud Infrastructure
Authors: Gupta Punit , Agrawal Deepika 
Published: May 2018

Reliability and trust Models are used to enhance secure , reliable scheduling , load balancing and QoS in cloud and Distributed environment. Trust models that are being used in Distributed and Grid environment, does not qualify cloud computing environment requirements. Since the parameters that have being taken into consideration in these trust models, does not fit in the cloud Infrastructure As A Service, a suitable trust model is proposed based on the existing model that is suitable for trust value management for the cloud IaaS parameters. Based on the above achieved trust values,Â trust based scheduling and load balancingÂ is done for better allocation of resources and enhancing the QOS of services been provided to the users. In this paper, an trust based cloud computing framework is proposed using trust model ,trust based scheduling and load balancing algorithms. Here we describe the design and development of trusted Cloud service model for cloud Infrastructure as a service (IaaS) known as VimCloud .VimCloud an open source cloud computing framework that implements the tusted Cloud Service Model andÂ trust based scheduling and load balancing algorithm . However one of the major issues in cloud IaaS is to ensure reliability and security or used data and computation. Trusted cloud service model ensures that user virual machine executes only on trusted cloud node, whose integrity and reliability is known in term of trust value . VimCloud shown practical in term of performace which is better then existing models.
An Extended Recommendation System using Data Mining Implemented for Smart Phones
Authors: Gyorodi Robert , Gyorodi Cornelia , Dersidan Mihai 
Published: May 2018

In this paper we introduce a recommendation system that attempts to solve some ofÂ the issues of classical recommendation systems: the need for huge amounts of data toÂ be able to extract meaningful patterns, or for directly visible connections between theÂ users. We propose a rating method that is based on a hierarchical tag system used toÂ describe the subjects of recommendation, and two data mining algorithms that runÂ on the data gathered through this rating system.
Effects of Classification Techniques on Medical Reports Classification
Authors: Mohamed Elfadil Abdalla , Saad Fathi H. , Mohamed Omer I. E. 
Published: May 2018

Text classification is the process of assigning pre-defined category labels to documents based on what a classifications has learned from training examples. This paper investigates the partially supervised classification approach in the medical field. The approaches that have been evaluated include Rocchio, NaÃ¯ve Bayesian (NB), Spy, Support vector machine (SVM), and Expectation Maximization (EM). A combination of these methods has been conducted.Â The experimental result showed that the combination which uses EM in step 2 is always produces better results than those uses SVM using small set of training samples. We also found that reducing the features based on tf-tdf values is decreasing the classification performance dramatically. Moreover, reducing the features based on their frequencies improve the classification performance significantly while also increasing efficiency, but it may require some experimentationÂ
Efficient Motion Detection Algorithm in Video Sequences
Authors: Mohammed Aree Ali 
Published: May 2018

HumanÂ motionÂ analysisÂ concernsÂ the detection,Â trackingÂ andÂ recognitionÂ ofÂ peopleÂ behaviors,Â from imageÂ sequencesÂ involvingÂ humans. AÂ referenceÂ frameÂ isÂ initiallyÂ usedÂ andÂ consideredÂ asÂ backgroundÂ information. While a new object enters into the frame, the foreground information and background information are identified using the reference frame as background model.In this paper, an efficient algorithm is proposed for objects detection in real time video sequences. The method aims at tracking an object like (human) in motion using background subtraction technique. The tracked objects are subject to different pre and post image processing in order to extract the most important features (frame preprocessing is used for shadow removal using morphological operations). They can be used later for recognition in different security system such as (human detection for surveillance). Experimental results show that the proposed method is very efficient in terms of reliability and accuracy of detection.
A Cooperative Computer Game for Public Efficiency Development
Authors: Prasad Sachchida Nand 
Published: May 2018

This paper presents a design case study of SIDES: Design Interfaces to Develop Effective Public Efficiency. SIDES is a tool designed to help adolescents in Public group therapy, specifically individuals with Asperserâ€™s Syndrome, practice effective group work efficiency using a four-player cooperative computer game that runs on computer games technology. We are represent the design process and evaluation of SIDES conducted over a period of six months with a middle school Public group therapy class. Our findings indicate that computer games are a motivating and supported tool for effective group work among. My target population and reveal different design lessons to inform the development of similar systems.
Performance Evaluation of Distributed Database Systems
Authors: Maabreh Khaled Saleh 
Published: May 2018

Distributed database management systems manage a huge amount of data as well as large and increasingly growing number of users through different types of queries. Therefore, efficient methods for accessing these data volumes will be required to provide a high and an acceptable level of system performance. Â Data in these systems are varying in terms of types from texts to images, audios and videos that must be available through an optimized level of replication. Distributed database systems have many parameters like data distribution degree, operation mode and the number of sites and replication. These parameters have played a major role in any performance evaluation study. This paper investigates the main parameters that may affect the system performance, which may help with configuring the distributed database system for enhancing the overall system performance.
Communication Architecture design for an Interoperable Machine-to-Machine System
Authors: Talavera Guillermo 
Published: May 2018

In recent years, we have witnessed a continuous increase in the number of embedded devices with communication capabilities that are changing the way we live, work and play.Â Smart grids, remote monitoring and control of all kinds of consumer devices and industrial equipment, vehicular telematics and e-health devices, are some examples of this revolution.Â The communication between those devices (Machine-to-Machine communication) is leading to a complexity explosion and a strongly fragmented market. The goal of our work is to design an architecture for a generic communication system enabling many kinds of services and devices to function together in a distributed M2M ecosystem regardless of the application domain. This paper presents an initial communication architecture design for an interoperable Machine-to-Machine (M2M) system. The architecture of the system itself is divided into three main components: gateways, distributed servers and communication overlay. Gateways are designed to enable interoperability with various external systems that are, for some reason, unable to directly become parts of the M2M overlay. Servers are required to act as central points for relaying messages, providing authorization, enforcing security policies such as channel encryption and so on. Multiple intercommunicating servers, or server federation, is supported and considered an essential part of the interoperable M2M system. The overlay component refers to the logical M2M network, which is built on top of the existing ICT infrastructure.Â
Do search engine data improve financial time series volatility predictions in different market periods? An empirical analysis on major world financial indices.
Authors: Risteski Dimche , Davcev Danco 
Published: May 2018

In this paper, we investigate the different influence of search engine data in different market periods on the improvement of the prediction of the financial time series volatility. We use the EGARCH and the EGARCH-SVI model. We analyze weekly data from the Dow Jones, FTSE 100 and Nikkei 225 market indices and the weekly search volume index (SVI) from google trends for market indices keywords. The main contribution of this paper is introducing limitations of the EGARCH-SVI model for forecasting the weekly volatility of the market index. Our results show that i) search engine dataÂ improve financial time series volatility predictions of the EGARCH-SVI model in market crisis periods with the bigger price volatility; and ii) search engine data is not improving the prediction of the financial time series volatility of the EGARCH-SVI model in a non-crisis periods with low price volatility in the market. This result also confirms the predictive power of the EGARCH-SVI model in crisis periods for different financial markets.
Optimum Space Utilization Approach to Improve Persistence of WSNs
Authors: Modi Anuja , Prajapati Gourishankar 
Published: May 2018

Wireless Sensor Networks (WSNs) are consists of huge number of sensor nodes, restricted with limited power, Â for provide services with cooperation to sense data and send to server. Various routing techniques are introduced for managing data transmission in WSNs in last decade. This work proposes novel method with compare distance of sensor nodes to base station in heterogeneous WSN. The sensor nodes near to base station are likely to send data direct to base station and nodes are long distance to base station would form cluster to send data using Stable Election Protocol (SEP) method. This work considers distance parameter to compare with base station position to decide whether need for nodes clustering or not. The proposed method further compare with existing Low Energy adaptive clustering hierarchy (LEACH) protocol and SEP protocol for WSN data transmission. The proposed method simulation results show the effectiveness with compare to existing methods.