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The Contribution of Physical Activity in Blood Glucose Concentration for People with Type 1 Diabetes

IFAC-PapersOnLine 2018年第27期51卷 270-275页

作者： Boiroux, Dimitri Jørgensen, John Bagterp Patek, Stephen D. Breton, Marc D. Department of Applied Mathematics and Computer Science Technical University of Denmark LyngbyDK-2800 Kgs Denmark Department of Systems and Information Engineering University of Virginia Charlottesville Virginia United States Center for Diabetes Technology University of Virginia CharlottesvilleVA United States

This paper addresses the problem of mathematical deconvolution for the estimation of unknown inputs in linear discrete-time state-space models. We apply our deconvolution algorithm to the modeling of blood glucose (BG) concentration for people with type 1 diabetes (T1D). We present a method using an activity tracking watch, a continuous glucose monitor and an insulin pump to study the effect of physical activity on BG concentration for people with T1D. The physical activity signatures are represented by an unknown input, also referred to as a ”net effect”. In addition, the net effect captures the unmodelled BG variations, eg. mismatches in meal estimation, and circadian metabolic variations. We test our method using data from a clinical study. We show the glucose net effect traces associated to physical activity for a specific patient during 20 consecutive days, and the glucose net effect traces associated to physical activity for eight subjects under identical conditions. The net effect signatures can be used to (i) reproduce experiments with different insulin administration strategies, (ii) build a physiological model of glucose-insulin dynamics able to simulate a physical activity in people with T1D, and (iii) design a model-based control algorithm able to predict the effect of physical activity on the blood glucose concentration. © 2018

关键词： Glucose Blood Deconvolution Estimation Insulin Physiological models State space methods Blood glucose concentration Deconvolution algorithm Discrete time state space models Disturbance estimation Model based control algorithms Net effect Physical activity Type 1 diabetes

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The SAT-tableau calculus

The SAT-tableau calculus

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21st International Workshop on Description Logics, DL 2008

作者： Keller, Uwe Heymans, Stijn University of Innsbruck Innsbruck Austria Knowledge-Based Systems Group Institute of Information Systems Technical University of Vienna Austria Department of Applied Mathematics and Computer Science Computational Web Intelligence Ghent University Belgium

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Adaptive energy-preserving algorithms for guiding center system

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Plasma science and Technology 2023年第4期25卷 11-22页

作者：朱贝贝刘健张嘉炜祝爱卿唐贻发 Department of Applied Mathematics School of Mathematics and PhysicsUniversity of Science and Technology BeijingBeijing 100083Peopleʼs Republic of China School of Nuclear Science and Technology University of Science and Technology of ChinaHefei 230026Peopleʼs Republic of China Advanced algorithm Joint Lab Shandong Computer Science CenterQilu University of TechnologyJinan 250014Peopleʼs Republic of China The State Key Laboratory of Scientific and Engineering Computing The Institute of Computational Mathematics and Scientific/Engineering ComputingAcademy of Mathematics and Systems ScienceChinese Academy of SciencesBeijing 100190Peopleʼs Republic of China School of Mathematical Sciences University of Chinese Academy of SciencesBeijing 100049Peopleʼs Republic of China

We develop two types of adaptive energy preserving algorithms based on the averaged vector field for the guiding center dynamics,which plays a key role in magnetized *** adaptive scheme is applied to the Gauss Legendre’s quadrature rules and time stepsize respectively to overcome the energy drift problem in traditional energy-preserving *** new adaptive algorithms are second order,and their algebraic order is carefully *** results show that the global energy errors are bounded to the machine precision over long time using these adaptive algorithms without massive extra computation cost.

关键词： guiding center system energy-preserving methods adaptive energy conservation

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Content Based Classification of Short Messages using Recurrent Neural Networks in NLP

Content Based Classification of Short Messages using Recurre...

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2024 International Conference on Artificial Intelligence, computer, Data sciences, and Applications, ACDSA 2024

作者： Bennet, Deepthi Tabitha Bennet, Preethi Samantha Thiagarajan, Priya Sundarakantham, K. Thiagarajar College of Engineering Dept. of Applied Mathematics and Computational Science Madurai India Thiagarajar College of Engineering Dept. of Computer Science and Business Systems Madurai India Thiagarajar College of Engineering Dept. of Computer Science and Engineering Madurai India

ISBN: (纸本)9798350394528

Short message spam poses a significant threat for all mobile phone users, as it can act as an efficient tool for cyberattacks including spreading malware and phishing. Traditional anti-spam measures are only minimally effective against modern spammers. Intelligent analysis of the content to categorise the messages as Spam (unwanted and unsolicited) or Ham (useful messages) is therefore essential to safeguard the user from such attacks. Various artificial intelligence (AI) techniques are proving to be useful in the analysis of the content of such short messages to classify and filter spam. We have trained, validated and tested seven such AI techniques on the SMS spam collection dataset to identify the best model for designing and developing a content based classification system. Recurrent Neural Networks (RNN) have shown the highest performance metrics (Test Accuracy: 99.28%) and hence our proposed system includes a RNN model for classification. A web app of this system has also been deployed where a single SMS can be input and the designed system can classify it as Spam or Ham. The designed system is compared against existing systems and is found to be significantly better. © 2024 IEEE.

关键词： Recurrent neural networks

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EyeTell: Tablet-based Calibration-free Eye-typing using Smooth-pursuit movements

EyeTell: Tablet-based Calibration-free Eye-typing using Smoo...

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2021 ACM Symposium on Eye Tracking Research and Applications, ETRA 2021

作者： Bafna, Tanya Bækgaard, Per Paulin Hansen, John Paulin Dtu Management Technical University of Denmark Denmark Department of Applied Mathematics and Computer Science Section for Cognitive Systems Technical University of Denmark Denmark Technical University of Denmark Denmark

ISBN: (纸本)9781450383455

Gaze tracking technology, with the increasingly robust and lightweight equipment, can have tremendous applications. To use the technology during short interactions, such as in public displays or hospitals to communicate non-verbally after a surgery, the application needs to be intuitive without requiring a calibration. Gaze gestures such as smooth-pursuit eye movements can be detected without calibration. We report the working performance of a calibration-free eye-typing application using only the front-facing camera of a tablet. In a user study with 29 participants, we obtained an average typing speed of 1.27 WPM after four trials and a maximum typing speed of 1.95 WPM. © 2021 ACM.

关键词： Eye tracking

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Regex parser II: Teaching regular expression fundamentals via educational gaming 46th

Regex parser II: Teaching regular expression fundamentals vi...

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46th Annual Conference of the Southern African computer Lecturers’ Association, SACLA 2017

作者： Rosenfeld, Ariel Ade-Ibijola, Abejide Ewert, Sigrid School of Computer Science and Applied Mathematics University of the Witwatersrand Johannesburg South Africa Formal Structures Algorithms and Industrial Applications Research Cluster Department of Applied Information Systems University of Johannesburg Auckland Park South Africa

ISBN: (纸本)9783319696690

We present an educational game that is expected to improve the teaching of and stimulate the interest in regular expressions. The game generates regular expressions using pseudo-random numbers and predefined templates and asks the player to provide strings that are in the language corresponding to the given regular expression while a timer counts down. Points in the game are awarded on how many strings the player was able to enter before time runs out (The game, which requires the JRE, is available via http://***/RegexParserII). © Springer International Publishing AG 2017.

关键词： computer games

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Reliable Software Technology – Ada-Europe 2005 1

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丛书名： Lecture Notes in computer science

1000年

作者： Tullio Vardanega Andy Wellings

ISBN: (数字)9783540316664

ISBN: (纸本)9783540262862

Started on the inspired initiative of Prof. Alfred Strohmeier back in 1996, and spawned from the annual Ada-Europe conference that had previously run for 16 consecutive years, the International Conference on Reliable Software Technologies celebrated this year its tenth anniversary by going to York, UK, where the ?rst series of technical meetings on Ada were held in the 1970s. Besides being a beautiful and historical place in itself, York also hosts the Depa- ment of computer science of the local university, whose Real-Time Group has been tremendously in?uential in shaping the Ada language and in the progress on real-time computing worldwide. This year’s conference was therefore put together under exc- lent auspices, in a very important year for the Ada community in view of the forthc- ing completion of the revision process that is upgrading the language standard to face the challenges of the new millennium. The conference took place on June 20–24, 2005. It was as usual sponsored by Ada-Europe, the European federation of national Ada societies, in cooperation with ACM SIGAda. The conference was organized by selected staff of the University of York teamed up with collaborators from various places in Europe, in what turned out to be a very effective instance of distributed collaborative processing. The conference also enjoyed the generous support of 11 industrial sponsors.

关键词： Software Engineering computer Communication Networks Special Purpose and Application-Based systems Programming Techniques Programming Languages, Compilers, Interpreters Management of Computing and Information systems

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Exploring advanced feature selection techniques: an application to dialectal Arabic data

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International Journal of Information Technology (Singapore) 2024年第7期16卷 4637-4649页

作者： Abdellah, Ait Elouli Ouahi, Hassan Cherrat, El Mehdi Bekkar, Abdellatif Department of Computer Science Laboratory of Innovation in Mathematics and Intelligent Systems Faculty of Applied Sciences Ibn Zohr University Ait Melloul Morocco Laboratory of Innovation in Mathematics and Intelligent SystemsFaculty of Applied Sciences Ibn ZohrUniversity Ait Melloul Morocco Laboratory of Systems Engineering and Information Technology National School of Applied Sciences Ibn Zohr University Agadir Morocco Department of Computer ScienceLIM LaboratoryFaculty of Sciences and Technics Hassan II University of Casablanca Mohammedia Casablanca Morocco

In the field of automated language processing, distinguishing between Moroccan Arabic (Darija) in multilingual contexts is a major challenge. This study addresses this challenge by exploiting feature selection techniques to improve the accuracy of tongue detection. Using a comprehensive methodology integrating various feature selection methods, including TF-idf, CBOW, Word2Vec for feature extraction, LASSO regression, decision trees for machine learning techniques, and statistical feature selection such as ANOVA, Pearson correlation coefficient, and Mutual information, alongside semantic techniques by developing our semantic encoders adapted to Arabic data, we strive to uncover the most important, relevant language features while attenuating the noise. As a result, we have obtained robust results by applying the famous XGBOOST, with conventional extraction methods and SVD as a dimensional reduction method with a very reasonable execution time. Our experimental results highlight the effectiveness of feature selection techniques to reinforce supervised learning tasks. This research not only advances the field of natural language processing but also highlights the central role of feature selection in deciphering complex linguistic landscapes. © Bharati Vidyapeeth's Institute of computer Applications and Management 2024.

关键词： Comparative Analysis Dialect Identification Dimensionality Reduction Moroccan Dialect Arabic NLP Standard Arabic

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Vertical Association Rule Mining: Case study implementation with relational DBMS 2

Vertical Association Rule Mining: Case study implementation ...

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2nd International Symposium on Technology Management and Emerging Technologies, ISTMET 2015

作者： Wan Abu Bakar, Wan Aezwani Bt Abdullah, Zailani B. Md Saman, Md. Yazid B. Abd Jalil, Masita Masila Bt Man, Mustafa B. Herawan, Tutut Department of Computer Science School of Informatics and Applied Mathematics Universiti Malaysia Terengganu Kuala Terengganu21030 Malaysia Department of Information Systems Faculty of Computer Science and Information Technology Universiti Malaya Lembah Pantai Kuala Lumpur50603 Malaysia

ISBN: (纸本)9781479917235

Data mining remains as one of the most important research domain in Knowledge Discovery and Database (KDD). Moving deeper, Association Rule Mining (ARM) is one of the most prominent areas in detecting pattern analysis especially for crucial business decision making. It aims to extract interesting correlations, frequent patterns, association or casual structures among set of items in the transaction databases or other data repositories. Even though most of these data repositories are dealing with flat files, current trend is focusing on using relational Database Management System (DBMS) for the more systematic and structured management of data. In response to the importance of adopting relational database, in this paper we implement MySQL (My Structured Query Language) as our association rule mining database engine in testing benchmark dense datasets which available from Frequent Itemset Mining (FIMI) online repository. Our study is focusing on Eclat algorithm as well as its variants in generating frequent and interesting rule, as a continual from our previous studies. The performance result shows a promising signal as to confirm on the benefits of relational database mechanism in storing any transaction data. © 2015 IEEE.

关键词： Association rules

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An Optimization Approach for Convolutional Neural Network Using Non-Dominated Sorted Genetic Algorithm-Ⅱ

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computers, Materials & Continua 2023年第3期74卷 5641-5661页

作者： Afia Zafar Muhammad Aamir Nazri Mohd Nawi Ali Arshad Saman Riaz Abdulrahman Alruban Ashit Kumar Dutta Badr Almutairi Sultan Almotairi Faculty of Computer Science and Information Technology Universiti Tun Hussein Onn MalaysiaMalaysia School of Electronics Computing and MathematicsUniversity of DerbyUK Department of Computer Science National University of TechnologyIslamabadPakistan Department of Information Technology College of Computer and Information SciencesMajmaah UniversityAl Majmaah11952Saudi Arabia Department of Computer Science and Information Systems College of Applied SciencesAlMaarefa UniversityRiyadh13713Kingdom of Saudi Arabia Department of Information Technology College of Computer Sciences and Information Technology CollegeMajmaah UniversityAl-Majmaah11952Saudi Arabia Department of Natural and Applied Sciences Faculty of Community CollegeMajmaah UniversityMajmaah11952Saudi Arabia Department of Information Systems Faculty of Computer and Information SciencesIslamic University of MadinahMadinah42351Saudi Arabia

In computer vision,convolutional neural networks have a wide range of *** representmost of today’s data,so it’s important to know how to handle these large amounts of data *** neural networks have been shown to solve image processing problems ***,when designing the network structure for a particular problem,you need to adjust the hyperparameters for higher *** technique is time consuming and requires a lot of work and domain *** a convolutional neural network architecture is a classic NP-hard optimization *** the other hand,different datasets require different combinations of models or hyperparameters,which can be time consuming and *** approaches have been proposed to overcome this problem,such as grid search limited to low-dimensional space and queuing by random *** address this issue,we propose an evolutionary algorithm-based approach that dynamically enhances the structure of Convolution Neural Networks(CNNs)using optimized *** study proposes a method using Non-dominated sorted genetic algorithms(NSGA)to improve the hyperparameters of the CNN *** addition,different types and parameter ranges of existing genetic algorithms are *** study was conducted with various state-of-the-art methodologies and *** have shown that our proposed approach is superior to previous methods in terms of classification accuracy,and the results are published in modern computing literature.

关键词： Non-dominated sorted genetic algorithm convolutional neural network hyper-parameter optimization

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