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2nd International Conference on Applied Artificial Intelligence and Computing, ICAAIC 2023

作者： Kumar, Rajeev Lamba, Anil Kumar Mohammed, Sayed Asokan, Anju Aswal, Upendra Singh Kolavennu, Subbarao Gopal Narayan Singh University Faculty of Information Technology Bihar Jamuhar India Psna College of Engineering and Technology Ece Tamilnadu Dindigul India Graphic Era Deemed to Be University Department of Computer Science & Engineering Uttarakhand Dehradun India School of Computer Science and Engineering Geeta University Delhi India Sri Eshwar College of Engineering Kinathukadavu Department of Computer and Communication Engineering Tamilnadu Coimbatore India Sphoorthy Engineering College Cse Cyber Security Department Telangana Hyderabad India

ISBN: (纸本)9781665456302

Color printing technology has made it simpler for forgers to make and copy large numbers of fake currency. The production of legible banknotes was once the sole purview of print shops, but today even a novice printer with a simple laser printer can do the job. Because of this, the prevalence of counterfeit money has increased dramatically. A number of problems, including corruption and the existence of 'black money,' have hounded India for a long time. There is also a serious problem with the circulation of counterfeit currency. The outcome is a system that can detect fake currency with greater speed and precision. It is a serious crime to create counterfeit currency, which is money that has not been authorized by the government. The vast majority of them do this professionally. The circulation of counterfeit currency retards economic development and devalues legitimate currency. In this study, it uses image processing to the problem of identifying fake Indian notes. This technique finishes the initial acquisition before the image is processed further. Pre-processing includes actions such as cropping, smoothing, and modifying the image;converting the image to greyscale;applying image segmentation;extracting features;and resizing the image. The model is then trained using an ELM. Proposed model exceeds both the CNN and SVM models in terms of accuracy, at around 97.8 percent. © 2023 IEEE.

关键词： Crime

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An improved fingerprinting method for localization WLAN-based

An improved fingerprinting method for localization WLAN-base...

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2011 International Conference on computer Science and Service System, CSSS 2011

作者： Gu, Fuqiang Shang, Jianga Zheng, Guizhou Zhu, Liangfeng Information Engineering Faculty China University of Geosciences Wuhan China College of Computer Science and Technology Huazhong University of Science and Technology Wuhan China Key Laboratory of GIS Ministry of Education East China Normal University Shanghai China

ISBN: (纸本)9781424497638

Many location-based services require location awareness, but it is often too expensive to include a GPS receiver in every network node. Hence, localization schemes using radio signal strength is more attractive when high precision isn't in demand. Fingerprinting is an effective method, but it is inaccurate when accidental gross error is included in the measurement. In this paper, we exploit an improved fingerprinting technique to overcome the accidental gross error caused by mobile person or other interference sources. By setting a threshold of signal distance, these accidental errors can be eliminated. Experimental results indicate that the improved method can locate a client with an average accuracy of 1-2m. What's more, it is more robust than basic fingerprinting. © 2011 IEEE.

关键词： Location based services

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Prediction of monthly rainfall at SENAI, Johor using artificial immune system and deep learning neural network

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Test engineering and Management 2020年 83卷 11740-11746页

作者： Noor Rodi, N.S. Malek, M.A. Zaini, N. Ismail, Amelia Ritahani Hisham, M.H.M. Civil Engineering Department College of Engineering Universiti Tenaga Nasional Malaysia Institute of Sustainable Energy Universiti Tenaga Nasional Malaysia Department of Computer Science Kulliyyah of Information and Communication Technology Universiti Islam Antarabangsa Kuala Lumpur Malaysia School of Education Faculty of Social Sciences and Humanities Universiti Teknologi Malaysia Skudai Johor Bharu Malaysia

In order to obtain good accuracy for the prediction of rainfall, this paper developed the Clonal Selection Algorithm (CSA) as a model for monthly rainfall prediction at Senai, Johor, Malaysia. CSA is one of the main algorithms in the Artificial Immune System. The results were compared with an established model for prediction which is the deep Multilayer Perceptron (MLP) algorithm. MLP is a deep learning algorithm used in the Artificial Neural Network (ANN). The algorithms were modelled using rainfall historical data with four input meteorological variables which are humidity, wind speed, pressure and temperature over the period of 1987 to 2017. The result shows that CSA obtained better prediction accuracy compared to MLP. CSA was applied successfully for the prediction of a continuous time series data with a high variable in nature. © 2020 Mattingley Publishing. All rights reserved.

关键词： Deep learning

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SOFSEM 2006: Theory and Practice of computer Science 1

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丛书名： Lecture Notes in computer Science

1000年

作者： Jiří Wiedermann Július Štuller Gerard Tel Jaroslav Pokorný Mária Bieliková

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The Quantum Internet (Technical Version)

arXiv

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arXiv 2025年

作者： Rohde, Peter P. Huang, Zixin Ouyang, Yingkai Huang, He-Liang Su, Zu-En Devitt, Simon Ramakrishnan, Rohit Mantri, Atul Tan, Si-Hui Liu, Nana Harrison, Scott Radhakrishnan, Chandrashekar Brennen, Gavin K. Baragiola, Ben Q. Dowling, Jonathan P. Byrnes, Tim Munro, William J. Centre for Quantum Software and Information Faculty of Engineering and Information Technology University of Technology Sydney SydneyNSW Australia Hearne Institute for Theoretical Physics Louisiana State University Baton Rouge United States School of Mathematical and Physical Sciences Macquarie University NSW2109 Australia School of Mathematical and Physical Sciences University of Sheffield SheffieldS3 7RH United Kingdom Henan Key Laboratory of Quantum Information and Cryptography Henan Zhengzhou450000 China Hefei National Laboratory for Physical Sciences at Microscale Department of Modern Physics University of Science & Technology of China Hefei China CAS Centre for Excellence and Synergetic Innovation Centre in Quantum Information & Quantum Physics University of Science & Technology of China Hefei China CAS-Alibaba Quantum Computing Laboratory Shanghai China InstituteQ Aalto University Espoo02150 Finland Indian Institute of Science Bangalore India Singapore University of Technology & Design Singapore Centre for Quantum Technologies National University of Singapore Singapore Horizon Quantum Ireland 24 Fitzwilliam Place Dublin 2 D02 T296 Ireland Institute of Natural Sciences Shanghai Jiao Tong University Shanghai200240 China School of Mathematical Sciences Shanghai Jiao Tong University Shanghai200240 China Ministry of Education Key Laboratory in Scientific and Engineering Computing Shanghai Jiao Tong University Shanghai200240 China Shanghai Artificial Intelligence Laboratory Shanghai China University of Michigan Shanghai Jiao Tong University Joint Institute Shanghai200240 China Leibniz Institute for Research & Information in Education Frankfurt am Main Germany Department of Computer Science and Engineering NYU Shanghai 567 West Yangsi Road Shanghai200124 China Centre of Excellence in Engineered Quantum Systems Macquarie University NSW Australia Centre for Quantum Computation and Communication Technology School of Science RMIT University VIC

The desire to share and unite remote digital assets motivated the development of the classical internet, the enabler of the entire 21st century economy and our modern way of life. As we enter the quantum era, it is to be expected there will be a similar demand for networking quantum assets, motivating a global quantum internet for bringing together the world's quantum resources, leveraging off their exponential trajectory in capability. We present models for quantum networking, how they might be applied in the future, and the implications they will have. Socially, economically, politically and geostrategically, the upcoming era of quantum supremacy will be as significant for the 21st century as the transistor was for the 20th. The inherently different scaling in the computational power of quantum computers fundamentally changes the dynamics of how they will operate in the future. Given their high expected initial cost, a client/server model for outsourcing computation will be essential for enabling the accessibility and proliferation of this technology, and ensuring its economic viability. We therefore anticipate the emergence of cloud quantum computing, a model for outsourcing quantum computations to the network. We argue that economic efficiency will mandate that all future quantum computers be united into a single global virtual quantum computer, offering exponentially more power to all network participants than if they were to keep their resources to themselves. This model for the allocation of computational resources is uniquely quantum, with no classical analogue, completely altering the economic landscape for the future of computation. Given the sensitivity of much of the data to which future quantum computers are going to foreseeably be applied, protocols for encrypted quantum computation will be essential - the outsourcing of computations that neither an eavesdropper nor even the server performing the computation can spy upon. This will enable new models fo

关键词： Outsourcing

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Driver information System based on computer Vision 32

Driver Information System based on Computer Vision

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32nd International Conference on Software, Telecommunications and computer Networks, SoftCOM 2024

作者： Kovacevic, Mihovil Vranjes, Mario Grbic, Ratko Herceg, Marijan TTTech Auto d.o.o Cara Hadrijana 10b Osijek Croatia Osijek Croatia Faculty of Electrical Engineering Computer Science and Information Technology Osijek Osijek Croatia

ISBN: (纸本)9789532901382

In the last decade, rapid advancements in computer technology have significantly impacted various industries, especially the automotive sector. This paper presents a software solution for a system for displaying information about the profile of the driver of the vehicle in front of the ego-vehicle, based on license plate detection (LPD) and recognition. The system consists of two applications, one for detecting vehicle license plates (VLPs) and recognizing text on them, and a web application for displaying driver profile data and reviewing drivers. Various algorithms for LPD and text recognition were explored within this research, whereas YOLOv5 small and PaddleOCR are selected as the most suitable for these tasks, respectively. The experimental results show that the selected YOLOv5 small achieved a precision of 0.9905, recall of 0.9811, and F1 score of 0.9858 for the LPD task while processing 2.69 frames per second (FPS) when tested on an Intel(R) Core(TM) i7-8550U CPU @ 1.80 GHz 1.99 GHz processor. Regarding PaddleOCR, the system's maximum recognition distance for VLPs was determined to be when the vehicle in front of the ego-vehicle is distanced at approximately 8 meters for images with resolution of 1920 × 1080 pixels, where PaddleOCR achieved an accuracy of 77.08% after testing. A Django web application was developed to display driver profile data and enable driver reviews based on license plates and the experimental results confirmed its functionality. © 2024 University of Split, FESB.

关键词： Automotive industry

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Evaluation of keyword search in affective multimedia databases 8th

Evaluation of keyword search in affective multimedia databas...

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8th International Conference on Computational Collective Intelligence, ICCCI 2016

作者： Horvat, Marko Vuković, Marin Car, Željka Department of Computer Science and Information Technology Zagreb University of Applied Sciences Vrbik 8 Zagreb10000 Croatia Faculty of Electrical Engineering and Computing University of Zagreb Unska 3 Zagreb10000 Croatia

ISBN: (纸本)9783662495209

Multimedia documents such as pictures, videos, sounds and text provoke emotional responses of different intensity and polarity. These stimuli are stored in affective multimedia databases together with description of their semantics based on keywords from unsupervised glossaries, expected emotion elicitation potential and other important contextual information. Affective multimedia databases are important in many different areas of research, such as affective computing, human-computer interaction and cognitive sciences, where it is necessary to deliberately modulate emotional states of individuals. However, restrictions in the employed semantic data models impair retrieval performance measures thus severely limiting the databases’ overall usability. An experimental evaluation of multi-keyword search in affective multimedia databases, using lift charts as binomial classifiers optimized for retrieval precision or sensitivity, is presented. Suggestions for improving expressiveness and formality of data models are elaborated, as well as introduction of dedicated ontologies which could lead to better data interoperability. © Springer-Verlag Berlin Heidelberg 2016.

关键词： Classification (of information)

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A study of lexical ambiguity in large forum discussions for multidisciplinary knowledge engineering 13

A study of lexical ambiguity in large forum discussions for ...

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13th International Conference on Knowledge, information and Creativity Support Systems, KICSS 2018

作者： Takhom, Akkharawoot Boonkwan, Prachya Ulrich Hoppe, H. Ikeda, Mitsuru Usanavasin, Sasiporn Supnithi, Thepchai Japan Advanced Institute of Science and Technology School of Knowledge Science Nomi Japan School of Information Computer and Communication Technology Sirindhorn International Institute of Technology Thammasat University Pathum Thani Thailand Language and Semantic Technology Laboratory National Electronics and Computer Technology Center Pathum Thani Thailand Department of Computer Science and Applied Cognitive Science Faculty of Engineering University of Duisburg-Essen Duisburg Germany

ISBN: (纸本)9781728101613

Lexical ambiguity is a challenging issue in multidisciplinary knowledge engineering due to the tendency that lexical terms can be used among different domains with different specific meanings. Particularly in large forum discussions, such ambiguous cross-disciplinary terms hard to be identified and detected by the discussion participants because domain expertise from several relevant fields is required to detect those terms and discover the actual divergence of interpretation. Having many ambiguous terms in the discussion context will result in gradual misunderstanding and delayed knowledge construction. We studied the effects of data sizes and morphological analysis in discovering ambiguous cross-disciplinary terms in large forum discussions. Our findings are twofold. First, it is more likely to discover cross-disciplinary terms as forum discussions deepen. This correlates with domain experts' tendency to use general terms in metaphorically describing domain-specific concepts, therefore causing lexical ambiguity. Second, we found that lemmatization outperforms stemming in forming more understandable key terms. This is because lemmatization eliminates only inflectional affixes and keeps derivational affixes. On the other hand, stemming eliminates both types of affixes, causing semantic bleaching. © 2018 IEEE.

关键词： Knowledge engineering

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RETRACTED ARTICLE: Temperature-based estimation of global solar radiation using soft computing methodologies

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Theoretical and Applied Climatology 2015年第1期125卷 101-112页

作者： Mohammadi, Kasra Shamshirband, Shahaboddin Danesh, Amir Seyed Abdullah, Mohd Shahidan Zamani, Mazdak Faculty of Mechanical Engineering University of Kashan Kashan Iran Faculty of Computer Science and Information Technology University of Malaya Kuala Lumpur Malaysia Department of Computer System and Technology Faculty of Computer Science and Information Technology University of Malaya Kuala Lumpur Malaysia Advanced Informatics School Universiti Teknologi Malaysia Kuala Lumpur Malaysia

Precise knowledge of solar radiation is indeed essential in different technological and scientific applications of solar energy. Temperature-based estimation of global solar radiation would be appealing owing to broad availability of measured air temperatures. In this study, the potentials of soft computing techniques are evaluated to estimate daily horizontal global solar radiation (DHGSR) from measured maximum, minimum, and average air temperatures (T max, T min, and T avg) in an Iranian city. For this purpose, a comparative evaluation between three methodologies of adaptive neuro-fuzzy inference system (ANFIS), radial basis function support vector regression (SVR-rbf), and polynomial basis function support vector regression (SVR-poly) is performed. Five combinations of T max, T min, and T avg are served as inputs to develop ANFIS, SVR-rbf, and SVR-poly models. The attained results show that all ANFIS, SVR-rbf, and SVR-poly models provide favorable accuracy. Based upon all techniques, the higher accuracies are achieved by models (5) using T max–T min and T max as inputs. According to the statistical results, SVR-rbf outperforms SVR-poly and ANFIS. For SVR-rbf (5), the mean absolute bias error, root mean square error, and correlation coefficient are 1.1931 MJ/m2, 2.0716 MJ/m2, and 0.9380, respectively. The survey results approve that SVR-rbf can be used efficiently to estimate DHGSR from air temperatures.

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Protecting the exchange of document images in cross-enterprise process integration with web services

Protecting the exchange of document images in cross-enterpri...

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2006 10th IEEE International Enterprise Distributed Object Computing Conference Workshops, EDOCW2006

作者： Chiu, Dickson K. W. Hung, Patrick C. K. Cheng, Vivying S. Y. Kafeza, Eleanna Dickson Computer System 7A Victory Avenue Kowloon Hong Kong Faculty of Business and Information Technology University of Ontario Institute of Technology Canada Department of Computer Science and Engineering Hong Kong University of Science and Technology Hong Kong Department of Marketing and Communications Athens University of Economics and Business Greece

ISBN: (纸本)076952558X

There is now an increasing demand for sharing document images and image data for process integration among enterprises. Web services technology has recently been widely proposed and gradually adopted as a platform for supporting integrations. There are so far no holistic solutions to tackle the various protection issues in this area, especially regarding the security and privacy protection requirements in cross-enterprise progress integration. We propose the exchange of document images through a Document Image Exchange Platform (DIEP), replacing ad-hoc and manual exchange practices. We show how contemporary technologies of Web services and watermarking can help archive images with layered implementation architecture. Through dedicated Web services technologies with watermarking mechanism, not only can the development, deployment, and maintenance of software be streamlined, the privacy protection in document image exchanges as required by disparate processes can also be much facilitated. © 2006 IEEE.

关键词： Web services

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