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Independent component analysis of quaternion Gaussian vectors

Independent component analysis of quaternion Gaussian vector...

引用

IEEE Sensor Array and Multichannel Signal Processing Workshop

作者： Via, Javier Vielva, Luis Santamaria, Ignacio Palomar, Daniel P. Dept. of Communications Engineering University of Cantabria Spain Dept. of Electronic and Computer Engineering Hong Kong University of Science and Technology Hong Kong

ISBN: (纸本)9781424489770

This paper addresses the independent component analysis (ICA) of quaternion Gaussian vectors. Firstly, we define the properness profile of a quaternion random variable, which can be seen as the quaternion analogue of the circularity coefficients of complex vectors. The properness profile is a three-dimensional pure quaternion vector, which does not only measure the improperness degree of the quaternion random variable, but also provides the improperness distribution. Secondly, we prove that the quaternion ICA model can be identified up to the trivial scale and permutation ambiguities, and a residual quaternion mixture among the sources with rotationally equivalent properness profiles, i.e., properness profiles related by a quaternion rotation. Finally, the main results of the paper are illustrated by means of some numerical examples. © 2010 IEEE.

关键词： Random variables

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Turbo detection for mobile MIMO underwater acoustic communications

Turbo detection for mobile MIMO underwater acoustic communic...

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OCEANS'10 IEEE Sydney, OCEANSSYD 2010

作者： Tao, Jun Zheng, Yahong Rosa Xiao, Chengshan Dept. of Electrical and Computer Eng. University of Missouri Columbia MO 65211 United States Dept. of Electrical and Computer Eng. Missouri University of Science and Technology Rolla MO 65409 United States

ISBN: (纸本)9781424452217

Turbo detection for mobile transceivers is proposed for high data-rate single-carrier multiple-input, multiple-output (MIMO) underwater acoustic (UWA) communications. The proposed detection scheme employs a MIMO Doppler preprocessor and a low-complexity MIMO turbo linear equalizer (LE). The Doppler preprocessor estimates the motion-induced Doppler shift and compensates it via symbol resampling. The preprocessed signal is then detected by the MIMO turbo LE that utilizes soft-decision minimum mean square error (MMSE) linear equalization with maximum a posteriori probability (MAP) channel decoding, thus improving the detection performance iteratively while maintaining low complexity. The proposed turbo detection scheme has been tested by field trial data collected by the SPACE08 experiment near Martha's Vineyard, Edgartown, MA, in 2008. Excellent detection results are achieved for 2-by-8 MIMO with mobile speed around 3 knots. © 2010 IEEE.

关键词： Underwater acoustic communication

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Towards effective automatic parallelization for multicore systems

Towards effective automatic parallelization for multicore sy...

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IPDPS 2008 - 22nd IEEE International Parallel and Distributed Processing Symposium

作者： Bondhugula, Uday Baskaran, Muthu Hartono, Albert Krishnamoorthy, Sriram Ramanujam, J. Rountev, Atanas Sadayappan, P. Dept. of Computer Science and Engineering Ohio State University 2015 Neil Ave. Columbus OH United States Dept. of Electrical and Computer Engg. Center for Computation and Technology Louisiana State University

ISBN: (纸本)9781424416943

The ubiquity of multicore processors in commodity computing systems has raised a significant programming challenge for their effective use. An attractive but challenging approach is automatic parallelization of sequential codes. Although virtually all production C compilers have automatic shared-memory parallelization capability, it is rarely used in practice by application developers because of limited effectiveness. In this paper we describe our recent efforts towards developing an effective automatic parallelization system that uses a polyhedral model for data dependences and program transformations. ©2008 IEEE.

关键词： C (programming language)

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Non-Invasive Human Body Temperature Detection for Online Event Data Recorder 3

Non-Invasive Human Body Temperature Detection for Online Eve...

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3rd International Conference on Intelligent Cybernetics technology and Applications, ICICyTA 2023

作者： Sani, Muhammad Ikhsan Ibnugraha, Prajna Deshanta Sari, Marlindia Ike Rizal, Moch Fahru Hanifa, Fanni Husnul Salasa, Salsabila Anza Reksa, Anggi Angga Hartono, Aditya Firmansyah Utama, Nur Cahya Telkom University Dept. of Computer Technology Bandung Indonesia Telkom University Dept. of Digital Marketing Bandung Indonesia Telkom University Dept. of Informatics Bandung Indonesia

ISBN: (纸本)9798350394559

The concept of black-box or Event Data Recorder (EDR) implementation on ground vehicle provides an alternative method for preemptive or prescriptive safety procedure. Utilizing all accessible technologies for accident prevention is crucial for ensuring transportation safety and regulation. Much effort has been devoted to developing thermal imaging as an additional sensor for EDR. However, several factors must be considered when using thermal imaging device on Event Data Recorder. Given that fever is a prevalent indication of several contagious illnesses, it is crucial to emphasize the monitoring of human body temperature for the purpose of fever screening. The goal is to reduce the number of individuals with elevated body temperatures from utilizing public transportation. This work aims to introduce a thermal camera application as a supplementary data source for the Event Data Recorder (EDR) in public transportation. The paper also proposed an alternative solution based on the use of a portable Forward-looking Infrared (FLIR) thermal imaging camera. The FLIR thermal camera is incorporated into the online EDR system. The system has been evaluated and can collect data for future analysis, as demonstrated by both indoor and outdoor tests. It may function in a somewhat limited range within small space area up to 3-meter detection range. Further studies will have to clarify on increasing the accuracy with another algorithm or methodology. © 2023 IEEE.

关键词： Automobile bodies

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An Effective Deep Learning Approach for the Estimation of Proton Energy by Using Artificial Neural Network 21

An Effective Deep Learning Approach for the Estimation of Pr...

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21st International Multi-Conference on Systems, Signals and Devices, SSD 2024

作者： Al-Mahdawi, Manar Kareem, Aythem Khairi Nafea, Ahmed Adil Shaban, Ali Muwafaq Aliesawi, Salah A. S. Al-Ani, Mohammed M College of Science AL-Nahrain University Baghdad Dept. Solid State Physics Iraq Ministry of Education Dept. of Heet Education General Anbar Heet31007 Iraq College of Computer Science and IT University of Anbar Ramadi Dept. Artificail Inteligence Iraq College of Computer Science and IT University of Anbar Ramadi Dept. Information System Iraq College of Computer Science and Information Technology University of Anbar Ramadi Dept. Computer Science Iraq Selangor Bangi Malaysia

ISBN: (纸本)9798350374131

The prediction of proton energy shows a key part in various scientific and technological studies including particle physics, medical imaging, and radiation therapy. In the last years the regression techniques study a lot trying to discover the difficult relationships among proton properties energy, needing to be studying of additional advanced techniques. This study proposed Artificial Neural Networks (ANN) as a tool for predicting types of proton energy (Max, Total and A vg). This paper proposed a comprehensive methodology for developing an ANN model for proton energy predection, covering data preparation, model architecture design, evaluation, and prediction. This proposed can ability to learn difficult models and non-linear relationships from large datasets, making them well-suited for this task. The ANN proposed achieved the highest R2 on the Total of proton energy predation of 0.96 % while the best mean_squared_error on 0.03668 for testing dataset. The results displayed the efficiency and accuracy of the proposed ANN model in predicted proton energy. The findings highlight the ability of ANNs as a tool for proton energy prediction. © 2024 IEEE.

关键词： Forecasting

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An Optimized System for Human Behaviour Analysis in E-Learning

An Optimized System for Human Behaviour Analysis in E-Learni...

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2022 International Conference on Electrical Engineering and Sustainable Technologies, ICEEST 2022

作者： Pervaiz, Mahwish Akhter, Israr Chelloug, Samia A. Bahria University Dept. of Computer Science Islamabad Pakistan Princess Nourah Bint Abdulrahman University Dept. of Information Technology Saudi Arabia

ISBN: (纸本)9781665462099

In several industries, artificial intelligence is becoming more and more popular. Artificial intelligence is commonly used in the interactions between individuals and objects. Technologies for human activities, occurrences, and behavior have been designed and deployed in surveillance equipment. However, human observation should be prioritized more in academic settings or e-learning. In this, we ended a useful technique for examining how people behave in various learning environments. Primarily, crowd statistics are used as a parameter, and pre-processing is carried out to reduce noise and identify objects. After that, layout collection, object separation, and human design authentication are carried out. Then the human structure is validated using image enhancement. The characteristics vector is retrieved at the levels of micro and macro following human layout confirmation. Furthermore, a particle swarm estimator is used to determine the most ideal features, and an Adaboost classification is used to categorise a people's behaviour. The suggested approach outperformed state-of-The-Art algorithms, achieving validity of 83.25% and 84.25% across the MED dataset and EduNet dataset, correspondingly. © 2022 IEEE.

关键词： Image enhancement

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Designing a NoSQL Database for Efficient Storage and Retrieval of Health Data 8

Designing a NoSQL Database for Efficient Storage and Retriev...

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8th International Conference on Future Internet of Things and Cloud, FiCloud 2021

作者： Sen, Poly Sil Mukherjee, Nandini Techno Main Salt Lake Dept. of Information Technology Kolkata India Jadavpur University Dept. of Computer Science Engineering Kolkata India

ISBN: (纸本)9781665425742

The role of Cloud to store and retrieve health data is felt more than ever before in this pandemic. In remote places, and in emergency situations, there is scarcity of medical personnel and proper medical infrastructure. Hand held devices like smart phones and other devices having sensing capabilities can be used to store health data in cloud. This health data containing audio, video, images, sensor data as well as text data can be easily stored in a cloud. A static data model does not have the capability to cope with changes in the requirements of a health care application. Ontology comes as a solution to incorporate the dynamic requirements of such an application. Also, there are multiple complicated health data standards to follow or to be interoperable with. Ontology has the capacity to bring different health data standards and relate these standards. Health data being Big data by its nature is stored in MongoDB cloud in this work. Designing a data model that stores health data so that queries can run in less time-is a challenge. An algorithm is used to generate the data model design for a set of queries. This data model design is used to store data in this work. The experience of storing and running some queries is discussed here. © 2021 IEEE.

关键词： Ontology

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Tagged user approach for finite-user finite-buffer S-Aloha analysis in AWGN and frequency selective fading channels

Tagged user approach for finite-user finite-buffer S-Aloha a...

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IEEE Sarnoff Symposium

作者： Hu, Sanqing Yao, Yu-Dong Sheikh, Asrar U. Haleem, M. Abdul Dept. of Electrical and Computer Engineering Stevens Institute of Technology Hoboken United States Dept. of Electrical Engineering KFUPM Dhahran Saudi Arabia

ISBN: (纸本)9781612846811

The tagged user approach (TUA) is shown to be an effective method based on queueing theories to analyze random multiple access systems and avoid the high computational complexities of Markovian analysis. In this paper, we investigate using the TUA to analyze a finite-user finite-buffer slotted Aloha system considering AWGN and frequency selective fading effects respectively. The theoretical derivations based on TUA are presented in this paper and computer simulations are performed to evaluate the TUA accuracy. Performance results of system throughput, packet blocking probability, queue length, packet waiting time and response time are presented. © 2011 IEEE.

关键词： Fading channels

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Leveraging Support Vector Machine for Sports Injury Classification 15

Leveraging Support Vector Machine for Sports Injury Classifi...

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15th International Conference on Information technology and Electrical Engineering, ICITEE 2023

作者： Surasak, Thattapon Praking, Phornnatee Kitchat, Kotcharat King Mongkut's University of Technology North Bangkok Faculty of Applied Science Dept. of Computer and Information Science Bangkok Thailand National Central University Dept. of Computer Science and Information Engineering Taoyuan Taiwan

ISBN: (纸本)9798350304466

This study explores the utility of Support Vector Machines (SVM) for the classification of injuries in Athletes including tennis, table tennis, and badminton. The primary objective of this research was to develop an automated method to detect between normal and injury pose, providing a poten-tially powerful tool for early detection. In other words, this research is the pioneer study to represent one another solution for sports injury classification using the image data apart from the current approaches that might be focused on the sensor-based. Therefore, we collect a dataset from various social media across the three sports, labeled into two categories: 'Normal' and 'Injury'. The SVM model was trained on this dataset, and tuned to optimize its performance in distinguishing the two classes. Achieving an accuracy of 96.63%, the result demonstrates that the SVM model can effectively identify injury patterns in the considered sports. The implications of this study are sig-nificant, presenting the initial steps towards applying computer vision tasks in sports topics. By demonstrating the feasibility of an SVM-based approach to injury detection in these racket sports. © 2023 IEEE.

关键词： Sports

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Vehicular communication: protocol design, testbed implementation and performance analysis 09

Vehicular communication: protocol design, testbed implementa...

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2009 ACM International Wireless Communications and Mobile Computing Conference, IWCMC 2009

作者： Iqbal, Sumaiya Chowdhury, Shihabur Rahman Hyder, Chowdhury Sayeed Vasilakos, Athanasios V. Wang, Cheng-Xiang Dept. of Computer Science and Engineering Bangladesh University of Engineering and Technology Bangladesh Dept. of Computer and Telecommunication Engineering University of Western Macedonia Greece School of Engineering and Physical Science Heriot-Watt University United Kingdom

ISBN: (纸本)9781605585697

Vehicular Communication Networks and Systems (VCNS) and Intelligent Transportation Systems (ITS) are one of the most attractive and challenging topics in recent days since a well ecient protocol for vehicular communication can facilitate the reduction of trac congestion and can pro- vide us with many more promising applications. In this pa- per, we propose a protocol for vehicle-to-infrastructure (V2I) and vehicle-to-vehicle (V2V) communication. As one of the challenging parts of this paper, we present an experimen- tal testbed in which two major applications of V2I & V2V communication (i.e. trac congestion detection and emer- gency warning) is implemented. Based on careful analysis, we also calculate some key system parameters which re ect the eciency of the protocol in different applications. Copyright © 2009 ACM.

关键词： Testbeds

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