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Systems for spectrum forensics 2

Systems for spectrum forensics

引用

2nd ACM International Workshop on Hot Topics in Wireless, HotWireless 2015

作者： Anderson, Austin Wang, Xiang Baker, Kenneth R. Grunwald, Dirk Dept. of Aerospace Engineering Univ. of Colorado Boulder United States Dept. of Electrical Energy and Computer Engineering Univ. of Colorado Boulder United States Interdisciplinary Telecommunications Program Univ. of Colorado Boulder United States Dept. of Computer Science Univ. of Colorado Boulder United States

ISBN: (纸本)9781450336994

Historically, spectrum allocations were assigned to a single user by regulation and spectrum interference was relatively easy to identify. Enforcement was simplified by having a small set of known licensees. Spectrum regulation is increasingly moving toward dynamic spectrum access mediated by databases, exclusion zones, sensors and other methods intended to improve spectrum efficiency. To have meaning, these spectrum sharing mechanisms must have some form of enforcement. While the spectrum policy community has consider ex-post (preventative) and ex-ante (punitive) enforcement mechanisms, enforcement will rely on spectrum forensics - the scientific gathering of information to inform an enforcement action. In this paper, we initiate exploration of a system for spectrum forensics that combines crowd-sourced interference detection, fixed sensors and aerial measurement as well as a system for minimizing the data that needs to be collected. As part of a multi-tiered approach, the highest tier will be enabled by the equivalent of an "SDR in the sky" for self-directed localization and identification of interference sources.

关键词： Antennas

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The Role of Big Data in Enhancing Student's Sustainable Development Awareness: A Case Study in Higher Education 2020

The Role of Big Data in Enhancing Student's Sustainable Deve...

引用

2nd International Conference on Big Data Engineering and Technology, BDET 2020

作者： Pane, Murty Magda Siregar, Christian Lake, Silverius C.J.M. Character Building Development Center Computer Science School of Computer Science Bina Nusantara University Jakarta Indonesia Character Building Development Center Mass Communication Program Communication Dept. Bina Nusantara University Jakarta Indonesia

ISBN: (纸本)9781450376839

This study objective is to find the general picture of the knowledge, attitude and behavior of students for sustainable development. It used the quantitative method with 160 students as the research subjects with the data collection technique of questionnaire distribution. The questionnaires are valid (the corrected item total correlations for knowledge, attitudes and behavior are: 0.745, 0.878 and 0.726) and reliable (α for knowledge, attitudes and behavior are: 0.985, 0.978 and 0.959). The positive nuances questionnaire's results are analyzed through a correlative analysis. The results showed scale 4 were chosen most for knowledge and attitude (41.40% and 42.93%), only in behavior the scale 3 was the most chosen (34.63%). The results concluded that the students tend to have positive knowledge, attitude and behavior towards the sustainable development, and the results will give strong support the sustainable future for human security. The results were connected with the big data, especially in social media and instant messaging where they can learn and get educated about sustainable development. © 2020 ACM.

关键词： Sustainable development

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ImageSurfer: A tool for visualizing correlations between two volume scalar fields

ImageSurfer: A tool for visualizing correlations between two...

引用

IEEE Visualization 2004 - Proceedings, VIS 2004

作者： Jen, Dennis Parente, Peter Robbins, Jonathan Weigle, Christopher Burette, Alain Taylor II, Russell M. Weinberg, Richard Department of Computer Science University of North Carolina Chapel Hill Dept. of Cell and Devmtl. Biology University of North Carolina Chapel Hill Dept. of Cell and Devmtl. Biology Neuroscience Center University of North Carolina Chapel Hill

ISBN: (纸本)0780387880

ImageSurfer is a tool designed to explore correlations between two 3D scalar fields. Our scientific goal was to determine where a protein is located, and how much its concentration varies along the membrane of a neuronal dendrite. The 3D scalar field data sets fall into two categories: dendritic plasma membranes (defining the structure) and immunofluorescent staining (defining protein concentration along the structure). ImageSurfer enables scientists to analyze relationships between multiple data sets obtained with confocal microscopy by providing 3D surface view, height field, and graphing tools. Each tool reduces the complexity of the problem by extracting a restricted subset of data: finding a region of interest in 3D;getting a sense of relative concentrations in 2D, and getting exact concentration values in 1D. The current design is presented, along with the rationale for each design decision. The tool is already proving useful for data exploration, analysis, and presentation. ©2004 IEEE.

关键词： Flow visualization

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The Impact of Middle and High School Students Participation in the Innovation Nation Competition on Their Education 24

The Impact of Middle and High School Students Participation ...

引用

24th International Arab Conference on Information Technology, ACIT 2023

作者： Mustafa, Dheya Zriqat, Samah Mustafa, Intisar Ghazi Althebyan, Qutaibah College of Engineering The Hashemite University Dept. of Computer Engineering Zarqa13133 Jordan Yarmouk University Dept. of Information Technology and Computer Science Irbid Jordan College of Education Qatar University Dept. of Educational Sciences Doha Qatar Al Ain University Cybersecurity Program Al Ain United Arab Emirates Jordan University of Science and Technology Irbid Jordan

ISBN: (纸本)9798350384307

The Innovative Nation competition is a Jordanian initiative that uses workshops, training camps, and competitions to improve students' general and soft skills, problem-solving, creativity, and invention. The curriculum is divided into three parts, each of which has the potential to increase interest in science, Technology, Engineering, and Mathematics (STEM). The goal of this research is to determine how much the STEM competition has influenced students' education and decision to pursue jobs in science and technology. Personal interviews with students and mentors were employed in this study to assess their skill sets, prospective career paths, and interests. The collected data was reviewed, and it was found that participation in the Innovation Nation competition increased students' interest in STEM vocations. © 2023 IEEE.

关键词： Artificial intelligence education Innovation non-curricular learning PictoBlox STEM

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Detecting arguing and sentiment in meetings

Detecting arguing and sentiment in meetings

引用

8th SIGdial Workshop on Discourseand Dialogue

作者： Somasundaran, Swapna Ruppenhofer, Josef Wiebe, Janyce Dept. of Computer Science University of Pittsburgh Pittsburgh PA 15260 United States Intelligent Systems Program University of Pittsburgh Pittsburgh PA 15260 United States

ISBN: (纸本)9789074029322

This paper analyzes opinion categories like Sentiment and Arguing in meetings. We first annotate the categories manually. We then develop genre-specific lexicons using interesting function word combinations for detecting the opinions. We analyze relations between dialog structure information and opinion expression in context of multiparty discourse. Finally we show that classifiers using lexical and discourse knowledge have significant improvement over baseline. © 2007 Association for Computational Linguistics.

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Students behaviors and factors affecting online learning during the COVID-19 situation Based on Machine Learning

Students behaviors and factors affecting online learning dur...

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2022 International Conference on Computational science and Computational Intelligence, CSCI 2022

作者： Chutrtong, Jaruwan Boonman, Narumon Sirichokworrakit, Supatchalee Kularbphettong, Kunyanuth Saun Sunandha Rajabhat University Faculty of Science and Technology Dept. of Industrail Microbiology Bangkok Thailand Saun Sunandha Rajabhat University Faculty of Science and Technology Dept. of Biology Bangkok Thailand Saun Sunandha Rajabhat University Faculty of Science and Technology Dept. of Foodscience and Technology Bangkok Thailand Suan Sunandha Rajabhat University Computer Science Program Bangkok Thailand

ISBN: (纸本)9798350320282

The objectives of this research paper are study online learning behaviors, the success factors of online learning and perspectives on online learning during the Covid-19 situation. It is quasi experimental research. The population is 127 students of the Faculty of science and Technology, Suan Sunandha Rajabhat university. The sample group enrolled in microbiology courses, semesters 1 and 2 of 2020 academic year. Research tool is a questionnaire. This paper has two main objectives: to analyze the behavior of students and to predict learning behaviors through the online system by using SVM, and KNN. Overall academic success on study is also at moderate levels. The experiment shows that the support vector machine (SVM) model has the best and most stable effect. The average recall rate, precision rate, and accuracy rate reached 80.81%, 84.75%, and 81.83%, respectively. © 2022 IEEE.

关键词： COVID-19

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Discourse level opinion relations: An annotation study 9

Discourse level opinion relations: An annotation study

引用

9th SIGdial Workshop on Discourse and Dialogue

ISBN: (纸本)9781932432176

This work proposes opinion frames as a representation of discourse-level associations that arise from related opinion targets and which are common in task-oriented meeting dialogs. We define the opinion frames and explain their interpretation. Additionally we present an annotation scheme that realizes the opinion frames and via human annotation studies, we show that these can be reliably identified. © 2008 Association for Computational Linguistics.

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Discourse level opinion interpretation

Discourse level opinion interpretation

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22nd International Conference on Computational Linguistics, Coling 2008

作者： Somasundaran, Swapna Wiebe, Janyce Ruppenhofer, Josef Dept. of Computer Science University of Pittsburgh Pittsburgh PA 15260 United States Intelligent Systems Program University of Pittsburgh Pittsburgh PA 15260 United States

ISBN: (纸本)9781905593446

This work proposes opinion frames as a representation of discourse-level associations which arise from related opinion topics. We illustrate how opinion frames help gather more information and also assist disambiguation. Finally we present the results of our experiments to detect these associations. © 2008. Licensed under the Creative Commons.

关键词： Computational linguistics

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Feature extraction for identification of sugarcane rust disease

Feature extraction for identification of sugarcane rust dise...

引用

2014 International Conference on Information, Communication Technology and System, ICTS 2014

作者： Dewi, Ratih Kartika Ginardi, R. V. Hari Information Technology and Computer Science Program Brawijaya University Malang Indonesia Dept. of Informatics Faculty of Information Technology Institut Teknologi Sepuluh Nopember Surabaya Indonesia

ISBN: (纸本)9781479968572

This research propose an image pattern classification to identify rust disease in sugarcane leaf with a combination of texture and color feature extraction. The purpose of this research is to find appropriate features that can identify sugarcane rust disease. Firstly, normal and diseased images are collected and pre-processed. Then, features of shape, color and texture are extracted from these images. After that, these images are classified by support vector machine classifier. A combination of several features are used to evaluate the appropriate features to find distinctive features for identification of rust disease. When a single feature is used, shape feature has the lowest accuracy of 51% and texture feature has the highest accuracy of 96.5%. A combination of texture and color feature extraction results a highest classification accuracy of 97.5%. A combination of texture and color feature extraction with polynomial kernel results in 98.5 % classification accuracy. © 2014 IEEE.

关键词： Feature extraction

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Vertically aligned carbon nanotubes field emission devices fabricated by furnace thermal CVD at atmospheric pressure

Vertically aligned carbon nanotubes field emission devices f...

引用

Technical Digest of the 18th International Vacuum Nanoelectronics Conference, IVNC 2005

作者： Wei, S. Kang, W.P. Davidson, J.L. Hofmeister, W.H. Choi, B.K. Huang, J.H. Interdisciplinary Program in Materials Science Vanderbilt University Nashville TN 37235 United States Dept. of Electrical Engineering and Computer Science Vanderbilt University Nashville TN 37235 United States Dept. of Materials Science and Engineering National Tsing Hua University Hsinchu 300 Taiwan

ISBN: (纸本)0780383974

The field emission behavior of carbon nanotubes (CNTs) in terms of their potential applications in vacuum microelectronics has been studied extensively in recent years. CNTs have extraordinary strength, impressive thermal and chemical stabilities and excellent electronic properties beneficial for making field emission cathodes. A vertically aligned CNT cathode is a beneficial geometrical structure for achieving high performance vacuum micro- and nano-electronic devices such as field emission diodes, triodes and flat panel displays. Although the vertical alignment of CNTs has been achieved in many ways[1-3], less experimentation has been conducted at ambient pressure using a simple tube furnace which would be a most promising method to mass produce CNTs by catalytic chemical vapor deposition (CVD). In this work, Ni catalytic film was deposited on SiO2 substrates and CNTs synthesis was performed in a quartz tube furnace. NH3 was applied with acetylene (C2H2) to produce vertically aligned CNTs. The catalyst deposition parameters and C2H2/NH3 flow rates are critical to the size and density of Ni catalytic particles, which strongly affect the morphology of as-grown CNTs. The temperature and pressure at which CNTs were grown were at 750°C and 1 atm., respectively. During the experiments, a mixture of Ar (80 vol.%) and H2 (20 vol.%) was introduced into the furnace at room temperature, the furnace was then heated to 750°C at the rate of 15°C/min. When the temperature was stabilized, NH3 was introduced as a processing reagent, followed by C 2H2, the carbon source. The effects of NH3 on the size and density of Ni particles were investigated, and the mechanism of CNT alignment was analyzed. Specifically, ammonia breaks larger catalyst particles into smaller ones, thereby increasing the particle density. The size of catalyst particles is critical, because CNTs cannot grow if the diameter of catalyst particles is far beyond the diffusion length of carbon atoms[4]. Moreover, NH3

关键词： Carbon nanotubes

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