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Networking, electrical engineering, Computer Science, and technology (IConNECT), International Conference on

作者： Tamsir Hasudungan Sirait Ford Lumban Gaol Suhono Harso Supangkat Benny Ranti Binus Graduate Program Computer Science Bina Nusantara University Jakarta Indonesia Computer Science Department Bina Nusantara University Jakarta Indonesia School of Electrical Engineering and Informatics Bandung Institute of Technology Bandung Indonesia Computer Science Department Universitas Indonesia Jakarta Indonesia

Universities can employ information technology as one means of achieving their goals and objectives. Universities can get advantages from information technology, such as effective resource management and information management for decision-making. However, don't forget that the campus must consider what technology is appropriate to assist them achieve their goals, particularly in the current industrial era 4.0 where technology is available with many different choices. The campus requires an enterprise architecture in order to design, manage, and coordinate information technology infrastructure, applications, and processes strategically and thoroughly. The adoption of enterprise information system architecture (EA) is also intended to improve the quality of services provided to internal and external stakeholders. In this case, Enterprise Architecture can help an organization to match its information technology resources with business processes and strategies to achieve their goals. This research was conducted using TOGAF ADM, also known as the Open Group Architecture Framework Architecture Development Method. This method offers best practices for creating enterprise architecture and emphasizes several steps that include creating an architectural vision, information systems, business architecture modeling to help XYZ campus manage all their information technology.

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High-order mesh generation based on optimal affine combinations of nodal positions 12th

High-order mesh generation based on optimal affine combinati...

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12th International Conference on Spectral and High-Order Methods, ICOSAHOM 2018

作者： Stees, Mike Shontz, Suzanne M. Department of Electrical Engineering and Computer Science Information and Telecommunication Technology Center University of Kansas LawrenceKS United States Department of Electrical Engineering and Computer Science Bioengineering Program Information and Telecommunication Technology Center University of Kansas LawrenceKS United States

ISBN: (纸本)9783030396466

In this paper, we propose a new optimization-based method for high-order mesh generation. Our proposed method is based on affine combinations of nodal positions. For each interior node in the high-order straight-sided mesh, a set of weights that relates the node to its neighbors is calculated. After the high-order boundary nodes are curved to conform with the true boundary, the interior nodes are moved based on the generated weights and the new boundary positions. We present results from applying our method to several aerospace engineering geometries in 2D and 3D which demonstrate the capabilities of our method. © 2020, The Author(s).

关键词： Mesh generation

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Demonstration of a CAFQA-bootstrapped Variational Quantum Eigensolver on a trapped-ion quantum computer

arXiv

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arXiv 2024年

作者： Wang, Qingfeng Zhukas, Liudmila Miao, Qiang Dalvi, Aniket S. Love, Peter J. Monroe, Christopher Chong, Frederic T. Ravi, Gokul Subramanian Duke Quantum Center Departments of Electrical and Computer Engineering and Physics Duke University Durham United States Chemical Physics Program Institute for Physical Science and Technology University of Maryland College ParkMD United States Duke Quantum Center Duke University Durham United States Department of Electrical and Computer Engineering Duke University Durham United States Department of Physics and Astronomy Tufts University Medford United States Department of Computer Science University of Chicago Chicago United States Department of Computer Science and Engineering University of Michigan Ann Arbor United States

To enhance the variational quantum eigensolver (VQE), the CAFQA method can utilize classical computational capabilities to identify a better initial state than the Hartree-Fock method. Previous research has demonstrated that the initial state provided by CAFQA recovers more correlation energy than that of the Hartree-Fock method and results in faster convergence. In the present study, we advance the investigation of CAFQA by demonstrating its advantages on a high-fidelity trapped-ion quantum computer located at the Duke Quantum Center—this is the first experimental demonstration of CAFQA-bootstrapped VQE on a TI device and on any academic quantum device. In our VQE experiment, we use LiH and BeH2 as test cases to show that CAFQA achieves faster convergence and obtains lower energy values within the specified computational budget limits. To ensure the seamless execution of VQE on this academic device, we develop a novel hardware-software interface framework that supports independent software environments for both the circuit and hardware end. This mechanism facilitates the automation of VQE-type job executions as well as mitigates the impact of random hardware interruptions. This framework is versatile and can be applied to a variety of academic quantum devices beyond the trapped-ion quantum computer platform, with support for integration with customized packages. © 2024, CC BY.

关键词： Quantum computers

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Density Based Spatial Clustering of Applications with Noise and Sentence Bert Embedding for Indonesian Utterance Clustering

Density Based Spatial Clustering of Applications with Noise ...

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Computer Science, Information technology and engineering (ICCoSITE), International Conference on

作者： Muhammad Fikri Hasani Yaya Heryadi Yulyani Arifin Lukas Wayan Suparta Computer Science Department BINUS Graduate Program Computer Science School of Computer Science Bina Nusantara University Jakarta Indonesia Computer Science Department BINUS Graduate Program Computer Science Bina Nusantara University Jakarta Indonesia Cognitive Engineering Research Group (CERG) Universitas Katolik Indonesia Atma Jaya Jakarta Indonesia Department of Electrical Engineering Faculty of Industrial Technology Institut Teknologi Nasional Yogyakarta Yogyakarta Indonesia

Task oriented chatbots are a sub-topic related to chatbots, where chatbots will perform certain tasks with specific goals. One part of creating a task-oriented chatbot is doing intent classification. Intent classification is a task of text classification. As in general text classification, the required dataset requires a label to carry out the classification process. To speed up and help the utterance analysis process, there is already a method, namely clustering, and Density-based clustering is a part of clustering that can determine cluster patterns based on arbitrary data, with DBScan as one of its algorithms. This research used 10000 client utterance data of awhatsapp based e-commerce conversation. SentenceBert also used as a state of art sentence embedding. This research yield silhouette score of 0.327 as the best result from eps of 0.1 and MinPts of 95. However, based on the cluster result, sentences labelled as noise can be further clustered. Text Preprocessing, text augmentation and sentence embedding techniques can be explored to increase the cluster performance.

关键词： Computer science Art Text categorization Clustering algorithms Oral communication Chatbots Classification algorithms

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Microengineered platforms for characterizing the contractile function of in vitro cardiac models

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Microsystems & Nanoengineering 2022年第1期8卷 29-50页

作者： Wenkun Dou Manpreet Malhi Qili Zhao Li Wang Zongjie Huang Junhui Law Na Liu Craig A.Simmons Jason T.Maynes Yu Sun Department of Mechanical and Industrial Engineering University of TorontoTorontoON M5S 3G8Canada Program in Molecular Medicine The Hospital for Sick ChildrenTorontoON M5G 1X8Canada Department of Biochemistry University of TorontoTorontoON M5S 1A8Canada Institute of Robotics and Automatic Information System and the Tianjin Key Laboratory of Intelligent Robotics Nankai UniversityTianjin 300350China School of Mechanical&Automotive Engineering Qilu University of Technology(Shandong Academy of Sciences)Jinan 250353China School of Mechatronics Engineering and Automation Shanghai UniversityShanghai 200444China Institute of Biomedical Engineering University of TorontoTorontoON M5S 3G9Canada Translational Biology&Engineering Program Ted Rogers Centre for Heart ResearchTorontoON M5G 1M1Canada Department of Anesthesiology and Pain Medicine University of TorontoTorontoON M5S 1A8Canada Department of Anesthesia and Pain Medicine The Hospital for Sick ChildrenTorontoON M5G 1X8Canada Department of Electrical and Computer Engineering University of TorontoTorontoON M5S 3G4Canada Department of Computer Science University of TorontoTorontoON M5T 3A1Canada

Emerging heart-on-a-chip platforms are promising approaches to establish cardiac cell/tissue models in vitro for research on cardiac physiology,disease modeling and drug cardiotoxicity as well as for therapeutic *** still exist in obtaining the complete capability of in situ sensing to fully evaluate the complex functional properties of cardiac cell/tissue *** to contractile strength(contractility)and beating regularity(rhythm)are particularly important to generate accurate,predictive *** new platforms and technologies to assess the contractile functions of in vitro cardiac models is essential to provide information on cell/tissue physiologies,drug-induced inotropic responses,and the mechanisms of cardiac *** this review,we discuss recent advances in biosensing platforms for the measurement of contractile functions of in vitro cardiac models,including single cardiomyocytes,2D monolayers of cardiomyocytes,and 3D cardiac *** characteristics and performance of current platforms are reviewed in terms of sensing principles,measured parameters,performance,cell sources,cell/tissue model configurations,advantages,and *** addition,we highlight applications of these platforms and relevant discoveries in fundamental investigations,drug testing,and disease ***,challenges and future outlooks of heart-on-a-chip platforms for in vitro measurement of cardiac functional properties are discussed.

关键词： cardiac contractile regularity

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Local Sampled-Data Gain-Scheduling Control of quasi-LPV Systems ⁎

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IFAC-PapersOnLine 2021年第4期54卷 86-91页

作者： Pedro H.S. Coutinho Márcia L.C. Peixoto Miguel Bernal Anh-Tu Nguyen Reinaldo M. Palhares Federal University of Minas Gerais Graduate Program in Electrical Engineering Brazil Department of Electrical and Electronics Engineering Sonora Institute of Technology Mexico Université Polytechnique Hauts-de-France LAMIH UMR CNRS 8201 France Federal University of Minas Gerais Department of Electronics Engineering Brazil

This paper deals with the problem of sampled-data gain-scheduling control design for affine quasi-LPV systems. As the control implementation is based on sample-data and its update occurs only at specific sampling instants, the state-dependent scheduling functions of the controller are piecewise continuous. This characteristic causes a mismatch between the system model and the controller parameters, namely asynchronous scheduling functions of the controller with respect to the plant during the inter-sampling behavior. To cope with this phenomenon, a polytopic description of the inter-sampling is constructed based on bounding assumptions on the scheduling functions and their time derivatives. Then, regarding a time-delay approach, a constructive and numerically implementable LMI-based synthesis condition is derived, and a convex procedure is proposed for enlarging the estimate of the region of attraction of the origin of the closed-loop system. The time-derivative bounds of the scheduling functions are explicitly accounted into the local analysis to ensure the method’s implementation. A numerical example is provided to illustrate the proposed methodology.

关键词： Digital control Nonlinear systems Gain scheduling Convex optimization Linear matrix inequalities

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A DIRECT METHOD OF GENERATING QUADRATIC CURVILINEAR TETRAHEDRAL MESHES USING AN ADVANCING FRONT APPROACH 29

A DIRECT METHOD OF GENERATING QUADRATIC CURVILINEAR TETRAHED...

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29th International Meshing Roundtable, IMR 2021

作者： Mohammadi, Fariba Shontz, Suzanne M. Department of Mechanical Engineering Information and Telecommunication Technology Center The University of Kansas 1520 W. 15th Street LawrenceKS66045 United States Department of Electrical Engineering and Computer Science Bioengineering Program Information and Telecommunication Technology Center University of Kansas 1520 W. 15th Street LawrenceKS66045 United States

ISBN: (纸本)9781733489010

Computational modeling and simulation of real-world problems, e.g., various applications in the automotive, aerospace, and biomedical industries, often involve geometric objects which are bounded by curved surfaces. The geometric modeling of such objects can be performed via high-order meshes. Such a mesh, when paired with a high-order partial differential equation (PDE) solver, can realize more accurate solution results with a decreased number of mesh elements (in comparison to a low-order mesh). There are several types of high-order mesh generation approaches, such as direct methods, a posteriori methods, and isogeometric analysis (IGA)-based spline modeling approaches. In this paper, we propose a direct, high-order, curvilinear tetrahedral mesh generation method using an advancing front technique. After generating the mesh, we apply mesh optimization to improve the quality and to take advantage of the degrees of freedom available in the initially straight-sided quadratic elements. Our method aims to generate high-quality tetrahedral mesh elements from various types of boundary representations including the cases where no computer-aided design files are available. Such a method is essential, for example, for generating meshes for various biomedical models where the boundary representation is obtained from medical images instead of CAD files. We present several numerical examples of second-order tetrahedral meshes generated using our method based on input triangular surface meshes. © 2021 held by the authors of the individual papers.

关键词： Mesh generation

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CNN-Based Cardiac Motion Extraction to Generate Deformable Geometric Left Ventricle Myocardial Models from Cine MRI 11th

CNN-Based Cardiac Motion Extraction to Generate Deformable G...

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11th International Conference on Functional Imaging and Modeling of the Heart, FIMH 2021

作者： Upendra, Roshan Reddy Wentz, Brian Jamison Simon, Richard Shontz, Suzanne M. Linte, Cristian A. Center for Imaging Science Rochester Institute of Technology RochesterNY United States Biomedical Engineering Rochester Institute of Technology RochesterNY United States Bioengineering Program University of Kansas LawrenceKS United States Electrical Engineering and Computer Science University of Kansas LawrenceKS United States Information and Telecommunication Center University of Kansas LawrenceKS United States

ISBN: (纸本)9783030787097

Patient-specific left ventricle (LV) myocardial models have the potential to be used in a variety of clinical scenarios for improved diagnosis and treatment plans. Cine cardiac magnetic resonance (MR) imaging provides high resolution images to reconstruct patient-specific geometric models of the LV myocardium. With the advent of deep learning, accurate segmentation of cardiac chambers from cine cardiac MR images and unsupervised learning for image registration for cardiac motion estimation on a large number of image datasets is attainable. Here, we propose a deep leaning-based framework for the development of patient-specific geometric models of LV myocardium from cine cardiac MR images, using the Automated Cardiac Diagnosis Challenge (ACDC) dataset. We use the deformation field estimated from the VoxelMorph-based convolutional neural network (CNN) to propagate the isosurface mesh and volume mesh of the end-diastole (ED) frame to the subsequent frames of the cardiac cycle. We assess the CNN-based propagated models against segmented models at each cardiac phase, as well as models propagated using another traditional nonrigid image registration technique. Additionally, we generate dynamic LV myocardial volume meshes at all phases of the cardiac cycle using the log barrier-based mesh warping (LBWARP) method and compare them with the CNN-propagated volume meshes. © 2021, Springer Nature Switzerland AG.

关键词： Deformation

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CRISPR-based electrochemical sensor for COVID-19 diagnostics 25

CRISPR-based electrochemical sensor for COVID-19 diagnostics

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25th International Conference on Miniaturized Systems for Chemistry and Life Sciences, MicroTAS 2021

作者： Rainbow, Joshua de Puig, Helena Jolly, Pawan Timilsina, Sanjay Sharma Estrela, Pedro Collins, James J. Ingber, Donald E. Wyss Institute for Biologically Inspired Engineering Harvard University Boston United States Department of Electronic and Electrical Engineering University of Bath Bath United Kingdom Institute for Medical Engineering and Science Department of Biological Engineering Massachusetts Institute of Technology Cambridge United States Infectious Disease and Microbiome Program Broad Institute of MIT and Harvard Cambridge United States Vascular Biology Program Boston Children's Hospital Harvard Medical School United States Harvard John A. Paulson School of Engineering and Applied Sciences Harvard University United States

ISBN: (纸本)9781733419031

We report the development of an electrochemical sensor platform for ultrasensitive and rapid detection of SARS-CoV-2 viral RNA that integrates loop-mediated isothermal amplification (LAMP), CRISPR-based detection, and anti-fouling nanocomposite coating. By integrating LAMP amplification with CRISPR, we achieved ultrasensitive detection of SARS-CoV-2 RNA at levels as low as 5 copies µL-1. Data from this electrochemical diagnostic platform was comparable to traditional RT-PCR methodology in a fraction of the time, at low cost, and without requiring laboratory space. © 2021 MicroTAS 2021 - 25th International Conference on Miniaturized Systems for Chemistry and Life Sciences. All rights reserved.

关键词： Coronavirus

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ULTRASENSITIVE ELECTROCHEMICAL SENSOR PLATFORM FOR MULTIPLEXED DETECTION OF MULTIPLE ANTI-SARS-CoV-2 IgG 25

ULTRASENSITIVE ELECTROCHEMICAL SENSOR PLATFORM FOR MULTIPLEX...

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25th International Conference on Miniaturized Systems for Chemistry and Life Sciences, MicroTAS 2021

作者： Timilsina, Sanjay S. de Puig, Helena Jolly, Pawan Rainbow, Joshua Durr, Nolan Estrela, Pedro Collins, James J. Ingber, Donald E. Wyss Institute for Biologically Inspired Engineering Harvard University United States Institute for Medical Engineering and Science Department of Biological Engineering Massachusetts Institute of Technology Cambridge United States Department of Electronic and Electrical Engineering University of Bath Bath United Kingdom Infectious Disease and Microbiome Program Broad Institute of MIT and Harvard Cambridge United States Vascular Biology Program Boston Children's Hospital Harvard Medical School United States Harvard John A. Paulson School of Engineering and Applied Sciences Harvard University United States

ISBN: (纸本)9781733419031

The COVID-19 pandemic has demonstrated the need for better understanding of the kinetics of anti-SARSCoV-2 antibody production and development of serological assays for multiple viral antigens. Electrochemical (EC) sensor platforms offer the potential to develop rapid, sensitive, point-of-care (POC) diagnostics for this type of application. Here, we describe multiplexed EC biosensors with novel antifouling properties that detect anti-SARSCoV-2 immunoglobulin G (IgG) against spike protein (S), spike receptor-binding domain (RBD), and nucleocapsid (NC) antigens. This POC assay was validated using 69 clinical blood samples and obtained 96% sensitivity and 100% specificity with area under the curve (AUC) of 0.98 for multiplexed detection of anti-SARS-CoV-2 IgG. © 2021 MicroTAS 2021 - 25th International Conference on Miniaturized Systems for Chemistry and Life Sciences. All rights reserved.

关键词： Coronavirus

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