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On the unequal error protection capability of a q-ary image of a low-rate q(m)-ary cyclic code

IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND computer scienceS 1996年第9期E79A卷 1305-1312页

作者： Sakakibara, K Kasahara, M Yuba, Y Faculty of Computer Science and System Engineering Okayama Prefectural University Soja-shi 719-11 Japan Faculty of Engineering and Design Kyoto Institute of Technology Kyoto-shi 606 Japan

An algorithm for finding the unequal error protection (UEP) capability of a q-ary image of a low-rate q(m)-ary cyclic code is presented by combining its concatenated structure with the UEP capability of concatenated codes. The results are independent of a choice of a basis to be used for expanding an element over GF (q(m)) into GF (q). A table of the UEP capability of binary images of low-rate Reed-Solomon codes over GF(2(6)) is given. It is shown that the encoding and decoding algorithms for superimposed concatenated codes can be applied to a q-ary image as a linear UEP code.

关键词： unequal error protection q-ary image of q(m)-ary cyclic code concatenated structure

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Leveraging explainable artificial intelligence with ensemble of deep learning model for dementia prediction to enhance clinical decision support systems

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Scientific Reports 2025年第1期15卷 1-17页

作者： Medani, Mohamed Elhessewi, Ghada Moh. Samir Alqahtani, Mohammed Asklany, Somia A. Alamro, Sulaiman Albalawneh, Da’ad Alshammeri, Menwa Assiri, Mohammed Department of Information Systems Applied College at Mahayil King Khalid University Abha Saudi Arabia Department of Health Sciences College of Health and Rehabilitation Sciences Princess Nourah bint Abdulrahman University P.O. Box 84428 Riyadh 11671 Saudi Arabia Department of Information System and Cyber Security College of Computing and Information Technology University of Bisha Bisha 61922 Saudi Arabia Department of Computer Science and Information Technology Faculty of Sciences and Arts Northern Border University Turaif Arar 91431 Saudi Arabia Department of Computer Science College of Computer Qassim University Buraydah 51452 Saudi Arabia Department of Computer Science University College in Umluj University of Tabuk Tabuk Saudi Arabia Department of Computer Science College of Computer and Information Sciences Jouf University Sakakah Saudi Arabia Department of Computer Science College of Computer Engineering and Sciences Prince Sattam Bin Abdulaziz University P.O. BOX 16273 Al-Kharj 3963 Saudi Arabia

The prevalence of dementia is growing worldwide due to the fast ageing of the population. Dementia is an intricate illness that is frequently produced by a mixture of genetic and environmental risk factors. There is no treatment for dementia yet;therefore, the early detection and identification of persons at greater risk of emerging dementia becomes crucial, as this might deliver an opportunity to adopt lifestyle variations to decrease the risk of dementia. Many dementia risk prediction techniques to recognize individuals at high risk have progressed in the past few years. Accepting a structure uniting explainability in artificial intelligence (XAI) with intricate systems will enable us to classify analysts of dementia incidence and then verify their occurrence in the survey as recognized or suspected risk factors. Deep learning (DL) and machine learning (ML) are current techniques for detecting and classifying dementia and making decisions without human participation. This study introduces a Leveraging Explainability Artificial Intelligence and Optimization Algorithm for Accurate Dementia Prediction and Classification Model (LXAIOA-ADPCM) technique in medical diagnosis. The main intention of the LXAIOA-ADPCM technique is to progress a novel algorithm for dementia prediction using advanced techniques. Initially, data normalization is performed by utilizing min–max normalization to convert input data into a beneficial format. Furthermore, the feature selection process is performed by implementing the naked mole‐rat algorithm (NMRA) model. For the classification process, the proposed LXAIOA-ADPCM model implements ensemble classifiers such as the bidirectional long short-term memory (BiLSTM), sparse autoencoder (SAE), and temporal convolutional network (TCN) techniques. Finally, the hyperparameter selection of ensemble models is accomplished by utilizing the gazelle optimization algorithm (GOA) technique. Finally, the Grad‐CAM is employed as an XAI technique to enhance

关键词： Data normalization Dementia prediction Explainability artificial intelligence Feature selection Gazelle optimization algorithm

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A systematic Review of Multi-Sensor Information Fusion for Equipment Fault Diagnosis

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IEEE Transactions on Instrumentation and Measurement 2025年

作者： Lin, Tantao Ren, Zhijun Zhu, Linbo Zhu, Yongsheng Feng, Ke Ding, Weiping Yan, Ke Beer, Michael Xi'an Jiaotong University Key Laboratory of Education Ministry for Modern Design & Rotor-Bearing System Xi'an710049 China Xi'an Jiaotong University Frontier Institute of Science and Technology Xi'an710049 China Xi'an Jiaotong University School of School of Chemical Engineering and Technology Xi'an710049 China Xi'an Jiaotong University School of Mechanical Engineering Xi'an710049 China Nantong University School of Artificial Intelligence and Computer Science Nantong226019 China City University of Macau Faculty of Data Science Macau999078 China Leibniz University Institute for Risk and Reliability Hannover30167 Germany University of Liverpool Department of Civil and Environmental Engineering LiverpoolL69 3BX United Kingdom Tongji University International Joint Research Center for Resilient Infrastructure International Joint Research Center for Engineering Reliability and Stochastic Mechanics Shanghai200092 China

In contrast to fault diagnosis relying solely on a single sensor, the method of multi-sensor information fusion for fault diagnosis (MSIFFD) broadens the spectrum of available information sources. It is renowned for its high accuracy and reliability, traits that have attracted growing attention within the research community and led to the generation of a substantial body of publications. However, there is currently a lack of a comprehensive and systematic review in this domain. Thereby, this review aims to thoroughly explore all research achievements in the field of MSIFFD. At the outset, an analysis is undertaken to delineate the fusion level of multi-sensor information, with a specific focus on its location and types of inputs and outputs within the information flow. Subsequently, an examination of the six primary fundamental operations for amalgamating multi-sensor information is undertaken to clarify the motivations and processes involved in information fusion across various operations. Following this, factors influencing fusion diagnostics and strategies aimed at improving their performance are examined to explore approaches for enhancing fusion accuracy. The subsequent sections delve into the analysis of sensor types and application scenarios, providing a reference guide for practical applications. Finally, this review outlines potential future challenges in the field of MSIFFD and provides a range of recommendations and possible solutions for consideration. © 1963-2012 IEEE.

关键词： Information fusion

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Deployment of Polar Codes for Mission-Critical Machine-Type Communication Over Wireless Networks

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computers, Materials & Continua 2022年第4期71卷 573-592页

作者： Najib Ahmed Mohammed Ali Mohammed Mansoor Rodina Binti Ahmad Saaidal Razalli Bin Azzuhri Department of Software Engineering Faculty of Computer Science and Information TechnologyUniversity of Malaya50603Kuala Lumpur Malaysia 2Department of Computer System&TechnologyFaculty of Computer Science and Information TechnologyUniversity of Malaya50603Kuala LumpurMalaysia

Mission critical Machine-type Communication(mcMTC),also referred to as Ultra-reliable Low Latency Communication(URLLC),has become a research *** is primarily characterized by communication that provides ultra-high reliability and very low latency to concurrently transmit short commands to a massive number of connected *** the reduction in physical(PHY)layer overhead and improvement in channel coding techniques are pivotal in reducing latency and improving reliability,the current wireless standards dedicated to support mcMTC rely heavily on adopting the bottom layers of general-purpose wireless standards and customizing only the upper *** mcMTC has a significant technical impact on the design of all layers of the communication protocol *** this paper,an innovative bottom-up approach has been proposed for mcMTC applications through PHY layer targeted at improving the transmission reliability by implementing ultra-reliable channel coding scheme in the PHY layer of IEEE 802.11a standard bearing in mind short packet transmission *** achieve this aim,we analyzed and compared the channel coding performance of convolutional codes(CCs),low-density parity-check(LDPC)codes,and polar codes in wireless network on the condition of short data packet *** Viterbi decoding algorithm(VA),logarithmic belief propagation(Log-BP)algorithm,and cyclic redundancy check(CRC)successive cancellation list(SCL)(CRC-SCL)decoding algorithm were adopted to CC,LDPC codes,and polar codes,***,a new PHY layer for mcMTC has been *** reliability of the proposed approach has been validated by simulation in terms of Bit error rate(BER)and packet error rate(PER)***-to-noise ratio(SNR).The simulation results demonstrate that the reliability of IEEE 802.11a standard has been significantly improved to be at PER=10−5 or even better with the implementation of polar *** results also show that the general-purpose wireless net

关键词： Machine-type communication mission-critical applications MTC URLLC M2M wireless networks polar codes

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Adaptive Parallel Model Combination for Reduced Environmental Mismatch in Noisy Speech Recognition

Adaptive Parallel Model Combination for Reduced Environmenta...

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International Conference on Electronic Design

作者： Tan, S. S. Ahmad, Abdul Manan Software Engineering Department Faculty of Computer Science and Information System University of Technology Malaysia Malaysia Speech Laboratory Faculty of Computer Science and Information System University of Technology Malaysia Malaysia

ISBN: (纸本)9781424423149

Due to environmental mismatch, speech recognition systems often exhibit drastic performance degradation in noisy conditions. This paper presents a model-based technique termed Adaptive Parallel Model Combination (APMC) which compensates the initial acoustic models to reduce the discrepancy. APMC used the well-known PMC technique to composite a set of corrupted speech models, while fine tuning the mean parameter of the models using a transformation-based adaptation technique called Maximum Likelihood Spectral Transformation (MLST). Evaluated on a context-independent phone recognition task, APMC was found to be superior to both PMC and MLST, especially in non-stationary noisy conditions. On average, APMC has achieved 48.81% improvement over the initial models, whereas PMC and MLST have improved the accuracy by 34.12% and 35.23% respectively.

关键词： Maximum likelihood

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Some optical and quasi-optimal binary codes from cyclic codes over GF (2(m))

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IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND computer scienceS 1996年第10期E79A卷 1737-1738页

It is shown that five optimal and one quasi-optimal binary codes with respect to the Griesmer bound can be obtained from cyclic codes over GF(2(m)). An [m(2(em)-1), em, 2(em-1)m] code, a [3(2(2e)-1), 2e, 3 . 2(2e-1)] code, a [2(2(2e)-1), 2, (2(2e+2)-4)/3] code, a [3(2(2e)-1), 2, 2(2e+1)-2] code, and a [3(2(2e)-1), 2(e+1), 3 . 2(2e-1)-2] code are optimal and a [2(2(2e)-1)2(e+1), 2(2e)-2] code is quasi-optimal.

关键词： optimal binary codes binary image of cyclic codes Griesmer bound concatenated structure

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Hybrid splitting criteria based on purity measures

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WSEAS Transactions on computers 2007年第5期6卷 843-850页

作者： Povalej, Petra Kokol, P. Laboratory for System Design Faculty for Electrical Engineering and Computer Science University of Maribor Smetanova ulica 17 2000 Maribor Slovenia

Decision trees are one of the most transparent methods probably most often used for solving classification, tasks. In the process of decision tree induction a lot of input parameters have to be fine-tuned in order to obtain good results. However the most important and probably most influential parameter in top-down induction method is a splitting criterion, which can vary from one classification task to another. In this paper we empirically tested four of them, based on well known purity measures, on 54 UCI databases. Although none of the proposed splitting criterion in the literature has proved to be universally better than the rest, they are not always suitable for solving any classification task. Therefore we propose two new splitting criteria: hybrid linear combination of purity measures and voting of purity measures, which obtain at least comparable results to other well-known criteria used in greedy decision tree induction method, while their structure makes them ideal for non-expert users. Boosting was also applied as one of the most successful ensemble methods, which once again proved the ability to significantly improve the classification accuracy on many databases.

关键词： Classification (of information)

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Development of a machine learning model for predicting abnormalities of commercial airplanes

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Data science and Management 2024年第3期7卷 256-265页

作者： Rossi Passarella Siti Nurmaini Muhammad Naufal Rachmatullah Harumi Veny Fara Nissya Nur Hafidzoh Department of Computer Engineering Faculty of Computer ScienceUniversitas Sriwijaya30662Indonesia Intelligent System Research Group(ISysRG) Faculty of Computer ScienceUniversitas Sriwijaya30662Indonesia Department of Informatics Faculty of Computer ScienceUniversitas Sriwijaya30662Indonesia College of Engineering Studies Universiti Teknologi MARA(UiTM)Shah Alam40450Malaysia

Airplanes are a social necessity for movement of humans,goods,and *** are generally safe modes of transportation;however,incidents and accidents occasionally *** prevent aviation accidents,it is necessary to develop a machine-learning model to detect and predict commercial flights using automatic dependent surveillance–broadcast *** study combined data-quality detection,anomaly detection,and abnormality-classification-model *** research methodology involved the following stages:problem statement,data selection and labeling,prediction-model development,deployment,and *** data labeling process was based on the rules framed by the international civil aviation organization for commercial,jet-engine flights and validated by expert commercial *** results showed that the best prediction model,the quadratic-discriminant-analysis,was 93%accurate,indicating a“good fit”.Moreover,the model’s area-under-the-curve results for abnormal and normal detection were 0.97 and 0.96,respectively,thus confirming its“good fit”.

关键词： Automatic dependent surveillance-broadcast data Commercial airplanes accident Data-labeling Machine learning Prediction model

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Evaluating 3D position and velocity of subject in parabolic flight experiment by use of the binocular stereo vision measurement

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Chinese Optics Letters 2010年第6期8卷 601-605页

作者：金涛贾宏志侯文玫 Ryo Yamamoto Norihiro Nagai Yusaku Fujii Koichi Maru Naoya Ohta Kazuhito Shimada Shanghai Key Laboratory of Modern Optical System School of Optical-Electrical and Computer EngineeringUniversity of Shanghai for Science and Technology Department of Electronic Engineering Faculty of EngineeringGunma University Department of Computer Science Faculty of EngineeringGunma University Medical Operations Japan Aerospace Exploration Agency(JAXA)JAXA Houston OfficeHouston 77058USA

A practical method for evaluating the three-dimensional（3D） position and velocity of a moving object used in the parabolic flight experiment is developed by using the binocular stereo vision measurement theory. The camera calibration mathematic model without considering the lens distortion is *** direct linear transformation（DLT） algorithm is improved to accomplish the camera *** camera calibration result and optimization algorithm are used to calculate the object＇s world coordinate from image *** 3D position and the velocity of the moving object are *** standard uncertainty in estimating the velocity is 0.0024 m/s,which corresponds to 1%level of the velocity of the object in the *** results show that this method is very useful for the parabolic flight experiments.

关键词： Binoculars Calibration Cameras Experiments Linear transformations Measurement theory Three dimensional Uncertainty analysis Velocity

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Evaluation of superimposed self-character based on the detection of talkers' face angles in video communication

Evaluation of superimposed self-character based on the detec...

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15th International Conference on Human Interface and the Management of Information: Information and Interaction Design, HCI 2013

作者： Ishii, Yutaka Watanabe, Tomio Faculty of Computer Science and System Engineering Okayama Prefectural University Japan

ISBN: (纸本)9783642392085

We build upon an embodied video chat system, called E-VChat, in which an avatar is superimposed on the other talker's video images to improve the mutual interaction in remote communications. A previous version of this system used a headset-type motion capture device. In this paper, we propose an advanced E-VChat system that uses image processing to sense the talker's head motion without wearing sensors. Moreover, we confirm the effectiveness of the superimposed avatar for face-to-face communication in an experiment. © 2013 Springer-Verlag Berlin Heidelberg.

关键词： Image enhancement

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