12,695 research outputs found
Design Workstation of the Future
No full textDesign research must be concerned with providing industry with significant competitive advantages in product and process design by developing advanced design methods and computer-based design tools, techniques, systems ad applications that support the creation of reliable, high quality, cost-effective, innovation and competitive products. The Design Technology Research Centre (DTRC) in the School of Design at the Hong Kong Polytechnic University focuses on the development of computer enhanced design processes and product-orientated and user-centred design tools and systems. Evolutionary computation, generative and knowledge based systems, Artificial Intelligence, integrated and interactive system techniques, virtual reality and computer supported collaborative work are employed for the implementation of these processes, tools and systems. In this paper, the author presents an overview of the research undertaken by the DTRC and discusses the issues related to the development of the design workstation of the future
sj-docx-1-jtr-10.1177_00472875231190000 – Supplemental material for Cultural Mindsets Matter: Reexamining the End Effect in Tourism Experiences
No full textSupplemental material, sj-docx-1-jtr-10.1177_00472875231190000 for Cultural Mindsets Matter: Reexamining the End Effect in Tourism Experiences by Yu Yu, Bing Pan, RanRan Cui, Jianping Liang and Jifei Wu in Journal of Travel Research</p
Overview of the Author Profiling Task at PAN 2013
No full text[EN] This overview presents the framework and results for the Author Profiling
task at PAN 2013. We describe in detail the corpus and its characteristics,
and the evaluation framework we used to measure the participants performance to
solve the problem of identifying age and gender from anonymous texts. Finally,
the approaches of the 21 participants and their results are described.The author profiling task @PAN-2013 was an activity of the WIQ-EI IRSES project (Grant No. 269180) within the FP 7 Marie Curie People Framework of the European Commission. We want to thank the Forensic Lab of the Universitat Pompeu Fabra Barcelona for sponsoring the award for the winner team. The work of the first author was partially funded by Autoritas Consulting SA and by Ministerio de Economía y Competitividad de España under grant ECOPORTUNITY IPT-2012-1220-430000. The work of the second author was in the framework the DIANA-APPLICATIONS-Finding Hidden Knowledge in Texts: Applications (TIN2012-38603-C02-01) project, and the VLC/CAMPUS Microcluster on Multimodal Interaction in Intelligent Systems. The work of fifth author was funded in part by the Swiss National Science Foundation (SNF) project "Mining Conversational Content for Topic Modelling and Author Identification (ChatMiner)" under grant number 200021_130208.Rangel, F.; Rosso, P.; Koppel, M.; Stamatatos, E.; Inches, G. (2013). Overview of the Author Profiling Task at PAN 2013. CLEF Conference on Multilingual and Multimodal Information Access Evaluation. 352-365. https://riunet.upv.es/handle/10251/46636S35236
Complex Form Visualization and Geometric Design
No full textEvolution and visualization of primitive as well as complex forms in a computer based enhanced design process is essential for designers to create and evaluate the concepts and 3D forms being generated. The issue is more complicated in a virtual environment where a full immersive and interactive effect is to be expected. This paper aims at developing a taxonomy of 3D complex geometric forms that can be visualised and evolved. Components of surfaces based on the taxonomy will be built for creative shape design. Demonstrations will be developed to show the theory and virtual applications
Uncovering Plagiarism - Author Profiling at PAN
No full text[ES] PAN is a yearly workshop and evaluation lab on uncovering plagiarism, authorship, and social software misuse. Since 2009, PAN has been organizing benchmark activities on uncovering plagiarism, authorship, and social software misuse . An additional task - author profiling - has also recently been proposed. Author profiling, instead of focusing on individual authors, studies how language is shared by a class of people. Author profiling is a problem of growing importance in applications in forensics, security and marketing. For instance, a person working in the area of forensic linguistics may need to know the linguistic profile of a suspected text message (language used by a certain type of person) and identify characteristics (with language as evidence). Similarly, from a marketing viewpoint, companies may be interested in determining, through the analysis of blogs and online product reviews, what types of people like or dislike their products.Rosso, P.; Rangel Pardo, FM. (2014). Uncovering Plagiarism - Author Profiling at PAN. Ercim News. (96):49-49. https://riunet.upv.es/handle/10251/49303S49499
Secure satellite-vehicle communications with randomly distributed vehicles on different roads
No full textOverview of PAN 2018 : author identification, author profiling, and author obfuscation
No full textAbstract: PAN 2018 explores several authorship analysis tasks enabling a systematic comparison of competitive approaches and advancing research in digital text forensics. More specifically, this edition of PAN introduces a shared task in cross-domain authorship attribution, where texts of known and unknown authorship belong to distinct domains, and another task in style change detection that distinguishes between single-author and multi-author texts. In addition, a shared task in multimodal author profiling examines, for the first time, a combination of information from both texts and images posted by social media users to estimate their gender. Finally, the author obfuscation task studies how a text by a certain author can be paraphrased so that existing author identification tools are confused and cannot recognize the similarity with other texts of the same author. New corpora have been built to support these shared tasks. A relatively large number of software submissions (41 in total) was received and evaluated. Best paradigms are highlighted while baselines indicate the pros and cons of submitted approaches
1D Magnetic Nickel‐Carbon Matrix Nanotube Composites Derived from Hydrogen‐Bonded Organic Frameworks and Metal–Organic Frameworks for Electromagnetic Wave Absorption
No full textAbstract Hydrogen‐bonded organic frameworks (HOFs) and metal–organic frameworks (MOFs) emerge as promising materials for electromagnetic wave (EMW) absorption, due to their high specific surface area and readily modifiable characteristics. In this study, 1D magnetic nickel‐carbon matrix nanotube composites (Ni‐HMCNTs) from a mixture of HOFs and MOFs (Ni‐HMNTs) for EMW absorption are synthesized. The Ni‐HMNTs are achieved via a one‐step method involving a single‐pot solvothermal reaction among melamine, trimeric acid, and nickel nitrate. This process involves a HOF‐to‐MOF transformation, characterized by the penetration of Ni ions into the HOF structure via a competitive coordination reaction, resulting in the hollow structure of Ni‐HMNTs. Subsequent calcination of Ni‐HMNTs yields Ni‐HMCNTs optimized for EMW absorption. Remarkably, with a filling degree of only 10 wt%, 1.2 Ni‐HMCNTs‐700 (heat‐treated at 700 °C) exhibits exceptional EMW absorption properties, with a minimum reflection loss ( RL min ) value of −50.4 dB and a maximum effective absorption bandwidth (EAB) of 7.32 GHz (10.64–17.96 GHz). These findings pave the way for further exploration of magnetically modified HOFs/MOFs for EMW applications.China Scholarship Council https://doi.org/10.13039/501100004543China Postdoctoral Science Foundation https://doi.org/10.13039/501100002858Priority Academic Program Development of Jiangsu Higher Education Institutions https://doi.org/10.13039/501100012246National Natural Science Foundation of China https://doi.org/10.13039/50110000180
E.: Overview of the Author Identification Task at PAN-2013
No full textAbstract. The author identification task at PAN-2014 focuses on author verification. Similar to PAN-2013 we are given a set of documents by the same author along with exactly one document of questioned authorship, and the task is to determine whether the known and the questioned documents are by the same author or not. In comparison to PAN-2013, a significantly larger corpus was built comprising hundreds of documents in four natural languages (Dutch, English, Greek, and Spanish) and four genres (essays, reviews, novels, opinion articles). In addition, more suitable performance measures are used focusing on the accuracy and the confidence of the predictions as well as the ability of the submitted methods to leave some problems unanswered in case there is great uncertainty. To this end, we adopt the c@1 measure, originally proposed for the question answering task. We received 13 software submissions that were evaluated in the TIRA framework. Analytical evaluation results are presented where one language-independent approach serves as a challenging baseline. Moreover, we continue the successful practice of the PAN labs to examine meta-models based on the combination of all submitted systems. Last but not least, we provide statistical significance tests to demonstrate the important differences between the submitted approaches.
Overview of the author identification task at PAN 2014
No full textThe author identification task at PAN-2014 focuses on author verification. Similar to PAN-2013 we are given a set of documents by the same author along with exactly one document of questioned authorship, and the task is to determine whether the known and the questioned documents are by the same author or not. In comparison to PAN-2013, a significantly larger corpus was built comprising hundreds of documents in four natural languages (Dutch, English, Greek, and Spanish) and four genres (essays, reviews, novels, opinion articles). In addition, more suitable performance measures are used focusing on the accuracy and the confidence of the predictions as well as the ability of the submitted methods to leave some problems unanswered in case there is great uncertainty. To this end, we adopt the c@1 measure, originally proposed for the question answering task. We received 13 software submissions that were evaluated in the TIRA framework. Analytical evaluation results are presented where one language-independent approach serves as a challenging baseline. Moreover, we continue the successful practice of the PAN labs to examine meta-models based on the combination of all submitted systems. Last but not least, we provide statistical significance tests to demonstrate the important differences between the submitted approaches
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