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IEEE International Workshop on Memory technology, Design and Testing

作者： Hiroyuki Yamauchi Faculty of Information Engineering Department of Computer Science and Engineering Fukuoka Institute of Technology Fukuoka Japan

This paper describes an SRAM scaling trend in terms of bit-cell size and operating voltage (Vdd) in a nano-scale process generation. The key design solutions to extend a 6T SRAM lifetime are reviewed and discussed including a possible bit cell scaling trend comparing with an 8T SRAM as one of the successors. Each dependency of 3 key margins of write margin (WRM), static noise margin (SNM), and cell current (Icell) on the scaling ratio of Vdd and MOSFET channel feature size has been shown to clarify the real issues in the scaling. The bit cell area scaling trends of 6T and 8T SRAMs are predicted. It has been shown that the area of 6T will be getting closer to that of 8T at 32 nm and should cross over around 22 nm.

关键词： Random access memory MOS devices Voltage CMOS process computer science CMOS technology Signal to noise ratio MOSFET circuits Topology Very large scale integration

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Extracting quality parameters for compressed audio from fingerprints

Extracting quality parameters for compressed audio from fing...

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6th International Conference on Music information Retrieval, ISMIR 2005

作者： Doets, P.J.O. Lagendijk, R.L. Dept. of Mediamatics Information and Communication Theory Group Faculty of Electrical EngineeringMathematics and Computer Science Delft University of Technology P.O. Box 5031 2600 GA Delft Netherlands

ISBN: (纸本)9780955117909

An audio fingerprint is a compact yet very robust representation of the perceptually relevant parts of audio content. It can be used to identify audio, even when of severely distorted. Audio compression causes small changes in the fingerprint. We aim to exploit these small fingerprint differences due to compression to assess the perceptual quality of the compressed audio file. Analysis shows that for uncorrelated signals the Bit Error Rate (BER) is approximately inversely proportional to the square root of the Signal-to-Noise Ratio (SNR) of the signal. Experiments using real music confirm this relation. Further experiments show how the various local spectral characteristics cause a large variation in the behavior of the fingerprint difference as a function of SNR or the bitrate set for compression. © 2005 Queen Mary, University of London.

关键词： Signal to noise ratio

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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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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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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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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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Unbundling the significance of cognitive robots and drones deployed to tackle COVID-19 pandemic: A rapid review to unpack emerging opportunities to improve healthcare in sub-Saharan Africa

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Cognitive Robotics 2021年 1卷 205-213页

作者： Mbunge, Elliot Chitungo, Itai Dzinamarira, Tafadzwa Department of Computer Science Faculty of Science and Engineering University of Eswatini Kwaluseni Manzini Swaziland Department of Information Technology Faculty of Accounting and Informatics Durban University of Technology P O Box 1334 Durban4000 South Africa Department of Laboratory Diagnostic and Investigative Sciences Faculty of Medicine and Health Sciences University of Zimbabwe Harare Zimbabwe ICAP at Columbia University Kigali Rwanda School of Health Systems & Public Health University of Pretoria Pretoria0002 South Africa

The emergence of COVID-19 brought unprecedented opportunities to deploy emerging digital technologies such as robotics and drones to provide contactless services. Robots and drones transformed initial approaches to tackle COVID-19 and have proven to be effective in curbing the risk of COVID-19 in developed countries. Despite the significant impact of robots and drones in reducing the burden of frontline healthcare professionals, there is still limited literature on their utilization to fight the pandemic in sub-Saharan Africa. Therefore, this rapid review provides significant capabilities of robots and drones while introspecting at the challenges and barriers that may hinder their implementation in developing countries. The study revealed that robots and drones have been used for disinfection, delivery of medical supplies, surveillance, consultation and screening and diagnosis. The study revealed that adopting robots and drones face challenges such as infrastructural, financial, technological barriers, security and privacy issues, lack of policies and frameworks regulating the use of robots and drones in healthcare. We, therefore, propose a collaborative approach to mobilise resources and invest in infrastructure to bridge the digital divide, craft policies and frameworks for effectively integrating robots and drones in healthcare. There is a need to include robotics in the medical education and training of health workers and develop indigenous knowledge and encourage international collaboration. Partnership with civil aviation authorities to license and monitor drones to improve monitoring and security of drone activities could also be helpful. Robots and drones should guarantee superior safety features since it either directly interacts with human or works in a densely populated environment. However, future work should focus on the long term consequences of robots and drones on human behavior and interaction as well as in healthcare. © 2021

关键词： COVID-19

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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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Harmonic content of the input current of the boost converter in quasiperiodicity 35

Harmonic content of the input current of the boost converter...

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35th International Conference on Power Electronics and Electrical Drives, EDPE 2021

作者： Stojanović, Željko Pelin, Denis Department of Electrical Engineering Zagreb University of Applied Sciences Zagreb Croatia Faculty of Electrical Engineering Computer Science and Information Technology Osijek University of Osijek Osijek Croatia

The paper deals with the harmonic content of the input current of the voltage mode controlled boost converter in quasiperiodicity. By decrease of the input voltage the converter exhibits quasiperiodicity caused by Hopf bifurcation and border collision bifurcation. In the area of these bifurcations mode locking, quasiperiodic steady-states and chaotic steady-states alternate. Characteristic waveforms, trajectories and harmonic contents of the input currrent in the area of Hopf bifurcation and border collision bifurcation are presented. The quasiperiodicity caused by both bifurcations has so far not been recorded in the boost converter. Additional harmonics in the input current of the converter are introduced by the quasiperiodicity. These harmonics are spread to the area of frequencies lower than the switching frequency as well as between the multiple integers of the switching frequency. Low frequency AC components in quasiperiodicity caused by border collision bifurcation are higher than low frequency AC components caused by Hopf bifurcation. These low frequency harmonics can be harmful to the source of the input voltage. ©2021 IEEE.

关键词： Boost converter Border collision bifurcation Harmonic content Hopf bifurcation Quasiperiodicity

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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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