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1st International Symposium on Intelligent computing and Networking, ISICN 2024

作者： Bolaños, César Bollman, Dorothy Doctoral Program in Computing and Information Sciences and Engineering University of Puerto Rico at Mayagüez Mayagüez00680 Puerto Rico Department of Mathematical Sciences University of Puerto Rico at Mayagüez Mayagüez00680 Puerto Rico

ISBN: (纸本)9783031674464

We construct new families of multidimensional periodic arrays that can be used for digital watermarking videos and images. Each member of each family is composed of columns of cyclic shifts of a Sidelnikov sequence in which the shifts are given by a multidimensional m1×m2×…×mn "grid" that is determined by applying a logarithmic quadratic map to the elements of a direct product Zm1×Zm2×…×Zmn. These arrays have peak auto-correlation on the order of p2l and non-peak auto- and cross-correlation on the order of pl, where l≥2 and m1m2…mn=pl-1, thereby improving the peak auto-correlation to nonpeak auto- and cross-correlations of other known constructions. Additionally, we show that the low cross-correlation values are optimal with respect to the Welch bound. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： Watermarking

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Classification of Multivariate Time Series Signals Using Self-Supervised Representation Learning for Condition Monitoring 30

Classification of Multivariate Time Series Signals Using Sel...

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30th International Symposium on Semiconductor Manufacturing, ISSM 2024

作者： Sumiya, Koichi Arima, Sumika University of Tsukuba Doctoral Program in Policy and Planning Sciences Tsukuba Japan University of Tsukuba Institute of Systems and Information Engineering Tsukuba Japan

ISBN: (纸本)9798331510589

In the analysis of real-world data, two significant challenges often arise: high-dimensional signals and their temporal interactions. To address these issues and identify transitions in process conditions through end-to-end learning, we propose a self-supervised representation learning framework that conceptualizes signals as images. This straightforward approach classifies imaged signals as time-specific conditions by maximizing mutual information within a domain-specific feature space. We applied this methodology to two labeled open datasets and one unlabeled real-world process dataset, yielding promising results. © 2024 IEEE.

关键词： Self-supervised learning

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DMSS:An Attention-Based Deep Learning Model for High-Quality Mass Spectrometry Prediction

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Big Data Mining and Analytics 2024年第3期7卷 577-589页

作者： Yihui Ren Yu Wang Wenkai Han Yikang Huang Xiaoyang Hou Chunming Zhang Dongbo Bu Xin Gao Shiwei Sun Key Lab of Intelligent Information Processing Institute of Computing TechnologyChinese Academy of SciencesBeijing 100190Chinaand with University of Chinese Academy of SciencesBeijing 100049China Syneron Technology Guangzhou 510000China College of Information and Electrical Engineering China Agricultural UniversityBeijing 100083China Computer Science Program ComputerElectrical and Mathematical Sciences and Engineering DivisionKing Abdullah University of Science and Technology(KAUST)Thuwal 23955-6900Kingdom of Saudi Arabia Insitute of Computing Technology Chinese Academy of SciencesBeijing 100190China with Western Institute of Computing Technology Chongqing 400000China

Accurate prediction of peptide spectra is crucial for improving the efficiency and reliability of proteomic analysis,as well as for gaining insight into various biological *** this study,we introduce Deep MS Simulator(DMSS),a novel attention-based model tailored for forecasting theoretical spectra in mass *** has undergone rigorous validation through a series of experiments,consistently demonstrating superior performance compared to current methods in forecasting theoretical *** superior ability of DMSS to distinguish extremely similar peptides highlights the potential application of incorporating our predicted intensity information into mass spectrometry search engines to enhance the accuracy of protein *** findings contribute to the advancement of proteomics analysis and highlight the potential of the DMSS as a valuable tool in the field.

关键词： mass spectrometry proteomics machine learning deep learning

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Implementing new technologies in publishing: Enhanced printed books 41

Implementing new technologies in publishing: Enhanced printe...

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41st International Convention on information and Communication Technology, Electronics and Microelectronics, MIPRO 2018

作者： Hebrang Grgic, I. Grgic, F. Despot, I. Department of Information and Communication Sciences Faculty of Humanities and Social Sciences University of Zagreb Zagreb Croatia Faculty of Electrical Engineering and Computing University of Zagreb Zagreb Croatia Postgraduate Doctoral Study Department of Information Sciences University of Zadar Zadar Croatia

ISBN: (纸本)9789532330977

Although reading e-books is becoming more popular, printed books are still dominant medium in the publishing industry. This paper describes an experimental project that implements new technologies in printed textbook publishing. A textbook for a university course was published and its content was enriched with three innovative possibilities that include usage of tablets, smartphones or personal computers. QR codes are printed in the book in order to extend content by linking the reader to verified internet sources. In addition, web application was developed to help in the learning process - the application is a quiz composed of ten one-choice questions for each book chapter (with 250 questions in the database that will be upgraded periodically). Prior to publication, the application was tested and the results showed that students are ready to accept new ways of learning. The application is a single-page application that executes its logic on client-side and is written mostly in vanilla JavaScript. Besides QR codes and web application, social networking is used to accomplish interaction between readers, author and publisher. Usage of social networks and application converts a printed book into an integrating resource. © 2018 Croatian Society MIPRO.

关键词： Textbooks

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Method for modelling the number of HIV and AIDS cases using least square spline Biresponse nonparametric negative binomial regression

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MethodsX 2025年 14卷 103336页

作者： Ramadan, Arip Chamidah, Nur Budiantara, I Nyoman Lestari, Budi Aydin, Dursun Doctoral Study Program of Mathematics and Natural Sciences Faculty of Science and Technology Airlangga University Surabaya 60115 Indonesia Information System Study Program Department of Industrial and System Engineering Telkom University Surabaya Campus Surabaya 60231 Indonesia Department of Mathematics Faculty of Science and Technology Airlangga University Surabaya 60115 Indonesia Research Group of Statistical Modeling in Life Science Faculty of Science and Technology Airlangga University Surabaya 60115 Indonesia Statistics Department Faculty of Science and Data Analytics Sepuluh Nopember Institute of Technology Surabaya 60111 Indonesia Department of Mathematics Faculty of Mathematics and Natural Sciences The University of Jember Jember 68121 Indonesia Department of Statistics Faculty of Science Muğla Sıtkı Koçman University Muğla 48000 Turkey Research Scholar at Department of Mathematics University of Wisconsin Oshkosh Algoma Blvd Oshkosh 54901 WI United States

We propose a new statistical modeling method to analyze functional relationship between predictor variables and correlated response variables, and apply it for modeling the number of HIV and AIDS cases influenced by early-age marriages and contraceptive users. The proposed method is LS-Spline BNNBR that is a Biresponse Nonparametric Negative Binomial Regression (BNNBR) based on least squares spline (LS-Spline). To validate the proposed method, we compare it with classical method, namely Ordinary Least Square Biresponse Parametric Negative Binomial Regression (OLS-BPNBR). The results show that the LS-Spline BNNBR method provided deviance value of 7.542334 which is smaller than that of OLS-BPNBR method, namely 7.993935. Thus, the proposed method has better prediction fit than the classical method. • This study discusses new statistical modeling method for the number of HIV and AIDS cases influenced by early-age marriages and contraceptive users where the response variables are correlated with each other. • The model estimation results show that the number of HIV and AIDS cases in Indonesia will decrease if the early-age marriages percentage increases and the contraceptive users percentage decreases. • The results are useful to provide a scientific basis for making policies to control the number of HIV and AIDS cases in Indonesia. © 2025 The Authors

关键词： AIDS BLSSNNBR model Contraceptive user Early-age marriage HIV Least square spline

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Dynamic channel estimation-aware routing protocol in mobile cognitive radio networks for smart IIoT applications

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Digital Communications and Networks 2023年第2期9卷 367-382页

作者： Qusay M.Salih Md Arafatur Rahman A.Taufiq Asyhari Muhammad Kamran Naeem Mohammad Patwary Ryan Alturki Mohammed Abdulaziz Ikram Faculty of Computing Universiti Malaysia Pahang26300GambangPahangMalaysia School of Engineering Computing and Mathematical SciencesUniversity of WolverhamptonUK Data Science Program Monash UniversityIndonesiaand Birmingham City UniversityB47XGUK Department of Information Science College of Computer and Information SystemsUmm Al-Qura UniversitySaudi Arabia Computer Science Department Al Jumoum University CollegeUmm Al-Qura UniversitySaudi Arabia

Cognitive Radio Networks(CRNs)have become a successful platform in recent years for a diverse range of future systems,in particularly,industrial internet of things(IIoT)*** order to provide an efficient connection among IIoT devices,CRNs enhance spectrum utilization by using licensed ***,the routing protocol in these networks is considered one of the main problems due to node mobility and time-variant channel ***,the channel selection for routing protocol is indispensable in CRNs to provide an adequate adaptation to the Primary User(PU)activity and create a robust routing *** study aims to construct a robust routing path by minimizing PU interference and routing delay to maximize throughput within the IIoT ***,a generic routing framework from a cross-layer perspective is investigated that intends to share the information resources by exploiting a recently proposed method,namely,Channel Availability ***,a novel cross-layer-oriented routing protocol is proposed by using a time-variant channel estimation *** protocol combines lower layer(Physical layer and Data Link layer)sensing that is derived from the channel estimation ***,it periodically updates and stores the routing table for optimal route ***,in order to achieve higher throughput and lower delay,a new routing metric is *** evaluate the performance of the proposed protocol,network simulations have been conducted and also compared to the widely used routing protocols,as a *** simulation results of different routing scenarios demonstrate that our proposed solution outperforms the existing protocols in terms of the standard network performance metrics involving packet delivery ratio(with an improved margin of around 5–20%approximately)under varying numbers of PUs and cognitive users in Mobile Cognitive Radio Networks(MCRNs).Moreover,the cross-layer routing protocol successfully achiev

关键词： Channel selection Cross-layer design Mobile cognitive radio networks Routing protocol IIoT applications

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A Unified Approach to the Computation and Analysis of Strings of Gene Expression States

A Unified Approach to the Computation and Analysis of String...

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IEEE International Conference on Bioinformatics and Biomedicine

作者： Jaime Seguel Marie Lluberes Department of Electrical and Computer Engineering University of Puerto Rico at Mayaguez Doctoral Program in Computing and Information Sciences and Engineering University of Puerto Rico at Mayaguez

ISBN: (纸本)9781467368001

The problem of deciding whether or not a concentration of messenger RNA corresponds to a gene in expressed state is crucial in the Boolean representation of gene regulatory networks. Since there is no independent mathematical description of gene expressions, the computational answers of this problem are affected by uncertainties in the model used for the design of the computer algorithms, and by the number of concentration measurements available. In this article, we handle these uncertainties by computing their probability distributions and unifying heterogeneous algorithmic models with aggregation rules. This approach renders an algorithmic framework that computes a set of probabilistic strings of states and, within it, the elected string, which results from the collective decision of the algorithms on the state of the gene in each of the concentration measurements. The set of probabilistic strings is endowed with a metric and a pseudo metric function that makes it possible to analyze the elected string against the expected and the highest probability strings in the set, among other considerations. The method is applied on biological data sets and the results are compared with those of four previously published algorithms.

关键词： Area measurement Biology Arrays

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Active research experience for undergraduates increases students' motivation and academic performance

Active research experience for undergraduates increases stud...

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2003 ASEE Annual Conference and Exposition: Staying in Tune with engineering Education

作者： Deek, Fadi Briller, Vladimir Friedman, Robert Durga, Mishra Joshi, Kamal New Jersey Institute of Technology College of Computing Sciences Information Technology Program Information Systems NJIT Outcomes Assessment New Jersey Institute of Technology Undergraduate Programs College of Computing Sciences NJIT Department of Electrical Engineering New Jersey Institute of Technology NJIT Institutional Research Dapartment

An active research experience for undergraduates (REU) was discussed. Research experience for undergraduate students provides educational experience through specially designed active research projects. A quasi-experimental design was applied to analyze the impact of REU on academic achievements. Retention rates, cummulative grade point average (GPA) and overall academic persistence measured by ratio of earned and attempted credit hours were also analyzed. Educational outcomes such as obtaining graduate education and employment were measured.

关键词： engineering education

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Emulation facility for data-driven real-time multi-processing 2nd

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2nd International Symposium on High Performance computing, ISHPC 1999

作者： Urata, Takuji Nishikawa, Hiroaki University of Tsukuba Doctoral Program in Engineering Tsukuba Science City Ibaraki305-8573 Japan University of Tsukuba Institute of Information Sciences and Electronics Tsukuba Science CityIbaraki305-8573 Japan

ISBN: (纸本)3540659692

Minimizing overhead resulting from context switching is a prerequisite for effective real-time multi-processing. Our heterogeneous data-driven processor has shown its multi-processing capability without extending turn-around time of any process as long as enough processing resource is available. However, the heterogeneous multi-processor system connected by a non-uniform network can yield bottlenecks that prevent it from meeting performance requirements unless program allocation is optimized during preprocessing. To avoid overload at the bottlenecks, we need a prototyping scheme to verify each processor's load. This paper discusses an emulation facility for an elastic pipeline structure. To effective emulate our data-driven processor, fine-grained parallel processing is required because the elastic pipeline structure makes up an autonomous processor without a centralized clock. By testing our data-driven processor used as an emulation facility to emulate fine-grained pipeline parallelism, we show its effectiveness. © 1999, Springer-Verlag. All rights reserved.

关键词： Pipelines

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A Player Position Tracking Method Based on a Wide-Area Pan-Tilt-Zoom Video 12

A Player Position Tracking Method Based on a Wide-Area Pan-T...

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Proceedings of the 12th International Conference on Sport sciences Research and Technology Support, icSPORTS 2024

作者： Yamagishi, Shunzo Xie, Chun Shishido, Hidehiko Kitahara, Itaru Master's and Doctoral Program in Intelligent Mechanical Interaction Systems University of Tsukuba Ibaraki Japan Center for Computational Sciences University of Tsukuba Ibaraki Japan Faculty of Science and Engineering Department of Information Systems Engineering Soka University Tokyo Japan

ISBN: (纸本)9789897587191

This paper proposes a method to estimate the posture of an athlete moving on a vast field in a sporting event using a pan-tilt-zoom camera. In order to estimate the posture of an athlete on a sports field from a dynamic video sequence, our method extracts image features to search correspondence points among successive frames and computes the homography transformation matrix that compensates for changes the camera parameters (e.g., angle of view and posture). The effectiveness of this method is qualitatively verified using MLB TV broadcast video. The accuracy and error factors are also quantitatively verified by CG simulation. Copyright © 2024 by SCITEPRESS - Science and Technology Publications, Lda.

关键词： Pan-Tilt-Zoom Camera Player Tracking Sports Analytics Video Processing Wide-Area

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