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International Joint Conference on Neural Networks (IJCNN)

作者： Md. Faijul Amin Ramasamy Savitha Muhammad Ilias Amin Kazuyuki Murase Department of Systems Design Engineering Graduate School of Engineering University of Fukui Fukui Japan School of Electrical and Electronics Engineering Nanyang Technological University Singapore Department of Computer Science and Engineering United International University Dhaka Bangladesh Research and Education Program for Life Science University of Fukui Fukui Japan

This paper presents a fully complex-valued functional link network (CFLN). The CFLN is a single-layered neural network, which introduces nonlinearity in the input layer using nonlinear functions of the original input variables. In this study, we consider multivariate polynomials as the nonlinear functions. Unlike multilayer neural networks, the CFLN is free from local minima problem, and it offers very fast learning in parameters because of its linear structure. In the complex domain, polynomial based CFLN has an additional advantage of not requiring activation functions, which is a major concern in the complex-valued neural networks. However, it is important to select a smaller subset of polynomial terms (monomials) for faster and better performance, since the number of all possible monomials may be quite large. In this paper, we use the orthogonal least squares method in a constructive fashion (starting from lower degree to higher) for the selection of a parsimonious subset of monomials. Simulation results demonstrate that computing CFLN in purely complex domain is advantageous than in double-dimensional real domain, in terms of number of connection parameters, faster design, and possibly generalization performance. Moreover, our proposed CFLN compares favorably with several other multilayer networks in the complex domain.

关键词： Polynomials Nonhomogeneous media Educational institutions Algorithm design and analysis Function approximation Neural networks Input variables

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cytoNet: Network Analysis of Cell Communities

SSRN

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SSRN 2019年

作者： Mahadevan, Arun S. Long, Byron L. Hu, Chenyue Wendy Ryan, David T. Britton, George L. Ligeralde, Andrew Robinson, Jacob T. Warmflash, Aryeh Qutub, Amina Ann Department of Biomedical Engineering University of Pennsylvania Department of Biomedical Engineering University of Texas San Antonio United States Department of Bioengineering Rice University Systems Synthetic and Physical Biology Program Rice University Department of Electrical and Computer Engineering Rice University The Department of Biosciences Rice University Biophysics Graduate Program University of California Berkeley United States

We introduce cytoNet, a method to characterize multicellular topology from microscopy images. Accessible through a web-based interface, cytoNet quantifies the spatial relationships in cell communities using principles of graph theory, and evaluates the effect of cell-cell interactions on individual cell phenotypes. We demonstrate cytoNet’s capabilities in two applications relevant to regenerative medicine: quantifying the morphological response of endothelial cells to neurotrophic factors present in the brain after injury, and characterizing cell cycle dynamics of differentiating neural progenitor cells. The framework introduced here can be used to study complex cell communities in a quantitative manner, leading to a deeper understanding of environmental effects on cellular behavior. © 2019, The Authors. All rights reserved.

关键词： Endothelial cells

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Robust H∞ control for uncertain state-delayed linear systems with Markovian jumping parameters 6

Robust H∞ control for uncertain state-delayed linear system...

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6th European Control Conference, ECC 2001

作者： Palhares, R.M. De Souza, C.E. Peres, P.L.D. Graduate Program in Electrical Engineering Pontifical Catholic University of Minas Gerais Av. Dom José Gaspar 500 Prédio 4 Belo Horizonte MG30535-610 Brazil Department of Systems and Control Laboratório Nacional de Computação Científica - LNCC Av. Getúlio Vargas 333 Petrópolis RJ25651-070 Brazil School of Electrical and Computer Engineering University of Campinas CP 6101 Campinas SP13081-970 Brazil

ISBN: (纸本)9783952417362

The problem of robust H∞ state-feedback control design for a class of continuous-time linear systems with Markovian jumping parameters and multiple time-varying delays at the states, and subject to uncertain parameters is addressed in this paper. It is assumed that the jumping parameters are available and the uncertain parameter belong to given convex bounded domains (polytope type uncertainty). A delay-independent sufficient condition assuring robust mean square stability and a prescribed level of H∞ disturbance attenuation for the closed-loop system is established in terms of linear matrix inequalities. © 2001 EUCA.

关键词： Linear matrix inequalities

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Chemical shift separation with controlled aliasing for hyperpolarized 13C metabolic imaging

Chemical shift separation with controlled aliasing for hyper...

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作者： Shin, Peter J. Larson, Peder E.Z. Uecker, Martin Reed, Galen D. Kerr, Adam B. Tropp, James Ohliger, Michael A. Nelson, Sarah J. Pauly, John M. Lustig, Michael Vigneron, Daniel B. Department of Radiology and Biomedical Imaging University of California at San Francisco 1700 4th Street San FranciscoCA94158 United States UC Berkeley - UCSF Graduate Program in Bioengineering CA United States Department of Electrical Engineering and Computer Sciences University of California at Berkeley BerkeleyCA United States Magnetic Resonance Systems Research Laboratory Department of Electrical Engineering Stanford University StanfordCA United States General Electric Healthcare FremontCA United States

Purpose A chemical shift separation technique for hyperpolarized 13C metabolic imaging with high spatial and temporal resolution was developed. Specifically, a fast three-dimensional pulse sequence and a reconstruction method were implemented to acquire signals from multiple 13C species simultaneously with subsequent separation into individual images. Theory and Methods A stack of flyback echo-planar imaging readouts and a set of multiband excitation radiofrequency pulses were designed to spatially modulate aliasing patterns of the acquired metabolite images, which translated the chemical shift separation problem into parallel imaging reconstruction problem. An eight-channel coil array was used for data acquisition and a parallel imaging method based on nonlinear inversion was developed to separate the aliased images. Results Simultaneous acquisitions of pyruvate and lactate in a phantom study and in vivo rat experiments were performed. The results demonstrated successful separation of the metabolite distributions into individual images having high spatial resolution. Conclusion This method demonstrated the ability to provide accelerated metabolite imaging in hyperpolarized 13C MR using multichannel coils, tailored readout, and specialized RF pulses. © 2014 Wiley Periodicals, Inc.

关键词： Separation

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Accelerating the Shuffled Frog Leaping algorithm by parallel implementations in FPGAs

Accelerating the Shuffled Frog Leaping algorithm by parallel...

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International Conference on Bio-Inspired Computing: Theories and Applications, BICTA

作者： Daniel M. Muñoz Carlos H. Llanos Leandro dos S. Coelho Mauricio Ayala-Rincón Department of Mechanical Engineering University of Brasilia Brasilia D.F Brazil Industrial and Systems Engineering Graduate Program Pontifical Catholic University of Parana Curitiba Parana Brazil Department of Computer Science and Mathematics University of Brasilia Brasilia D.F Brazil

Meta-heuristics are efficient techniques for solving large scale optimization problems in which traditional mathematical techniques are impractical or provide suboptimal solutions. The Shuffled Frog Leaping algorithm (SFLA) is a stochastic iterative method, bio-inspired on the memetic evolution of a group of frogs when seeking for food, which combines the social behavior-based of the particle swarm optimization technique (PSO) and the global information exchange of memetic algorithms. However, the SFLA algorithm suffers on large execution times, being this problem clearly evident when solving complex optimization problems for embedded applications. This drawback can be overcome by exploiting the parallel capabilities of the SFLA. This paper proposes a hardware parallel implementation of the SFLA algorithm (HPSFLA) using FPGAs (Field programmable gate Arrays) and the efficient floating-point arithmetic. The proposed architecture allows the SFLA to improve the functionality of the algorithm as well as to decrease the execution times by implementing parallel frogs and parallel memeplexes. Three well-known benchmark problems have been used to validate the implemented algorithm and simulation results demonstrate that the HPSFLA speeds-up by factors of 362, 727 and 211 a C-code implementation using an embedded microprocessor for the Sphere, Rastrigin and Rosenbrock benchmarks problems, respectively. Synthesis, simulation and execution time results demonstrate the effectiveness of the proposed HPSFLA architecture for embedded optimization systems.

关键词： Mathematics Field programmable gate arrays Table lookup

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FaNDOM: Fast Nested Distance-Based Seeding of Optical Maps

SSRN

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SSRN 2021年

作者： Dehkordi, Siavash Raeisi Luebeck, Jens Bafna, Vineet Department of Computer Science & Engineering University of California San Diego San diegoCA92093 United States Bioinformatics & Systems Biology Graduate Program University of California San Diego San diegoCA92093 United States

Optical mapping provides single-molecule readouts of the locations of fluorescently labeled sequence motifs on long fragments of DNA, resolved to nucleotide-level coordinates. With the advent of microfluidic technologies for manipulating large numbers of individual molecules, and advances in the imaging of fluorescent DNA tags, it is possible to inexpensively generate high coverage and long OM molecules (>150Kbp). In addition to its use in scaffolding for de novo assembly, optical map data can also be mapped to a reference for identifying genetic structural variants implicated in Mendelian diseases and cancer. To address the computational challenge, we introduce FaNDOM (Fast Nested Distance seeding of Optical Maps) - an optical map alignment tool which greatly reduces the search space of the alignment process. On 4 benchmark human data-sets, FaNDOM was significantly (4-14X) faster than competing tools while maintaining comparable sensitivity and specificity. We used FaNDOM to map variants in 3 cancer cell-lines and identified many structural variations, including deletion of tumor-suppressor genes, duplications, gene fusions and gene-disrupting rearrangements. FaNDOM is publicly available at (https://***/jluebeck/FaNDOM). © 2021, The Authors. All rights reserved.

关键词： Genes

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Opposition-based shuffled PSO with passive congregation applied to FM matching synthesis

Opposition-based shuffled PSO with passive congregation appl...

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Congress on Evolutionary Computation

作者： Daniel M. Muñoz Carlos H. Llanos Leandro dos S. Coelho Mauricio Ayala-Rincón Department of Mechanical Engineering Automation and Control Group/GRACO University of Brasilia Brasilia Brazil Industrial and Systems Engineering Graduate Program LAS/PPGEPS Pontifical Catholic University of Paraná Curitiba Parana Brazil Department of Computer Science and Mathematics University of Brasilia Brasilia Brazil

Synthesis of musical instruments or human voice is a time consuming process which requires theoretical and experimental knowledge about the synthesis engine. Commonly, performers need to deal with synthesizer interfaces and a process of trial and error for creating musical sounds similar to a target sound. This drawback can be overcome by adjusting automatically the synthesizer parameters using optimization algorithms. In this paper a hybrid particle swarm optimization (PSO) algorithm is proposed to solve the frequency modulation (FM) matching synthesis problem. The proposed algorithm takes advantage of a shuffle process for exchanging information between particles and applies the selective passive congregation and the opposition-based learning approaches to preserve swarm diversity. Both approaches for injecting diversity are based on simple operators, preserving the easy implementation philosophy of the particle swarm optimization. The proposed hybrid particle swarm optimization algorithm was validated for a three-nested FM synthesizer, which represents a 6-dimensional multimodal optimization problem with strong epistasis. Simulation results revealed that the proposed algorithm presented promising results in terms of quality of solutions.

关键词： Frequency modulation Optimization Equations Convergence Particle swarm optimization Genetic algorithms

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AC 2007-1771: Mentoring new faculty: How much, how often, and how?

AC 2007-1771: Mentoring new faculty: How much, how often, an...

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114th Annual ASEE Conference and Exposition, 2007

作者： Jackson, Andrew Chin, Robert Coddington, Charles Petersen, Paul Hamid, Fonooni East Carolina University United States Department of Technology Systems College of Technology and Computer Science East Carolina University United States East Carolina University Indiana State University Graduate Faculties United States EDGJ Department of Technology Systems East Carolina University United States Faculty Senate East Carolina University United States Department of Technology East Carolina University College of Technology and Computer Science United States Cleveland State University Fenn College of Engineering United States Department of Technology Systems Science Occupational Safety Program East Carolina University Greenville NC United States Academic Practice Specialty Educational Standards Committee Task Force ASSE

The Department of Technology systems (TSYS) at East Carolina University has implemented a new faculty mentoring process to enable junior faculty members to learn from senior faculty members as they prepare for a career in academia. Five tenured professors and associate professors in the TSYS department have recently established a new process to mentor faculty members within the department who have begun not yet completed their initial tenure process at a major university. This process includes a series of workshops regarding academic performance expectations during the early stages of an academic career. Our commitment to new faculty takes on several related, yet distinct features. Examples of these initiatives include: 1) reduced workloads for new faculty for the first two years to enable them to generate individual and collaborative research activities, funded grants, and publications, 2) periodic university-wide training to learn policies and procedures that affect day-to-day activities on a college campus, 3) periodic workshops hosted by senior faculty mentors, and 4) one-on-one discussions between senior faculty members and junior faculty members to encourage candid dialogue between professional colleagues. Another feature of the mentorship philosophy is a proposal to the dean of the college to offer newly hired faculty a contractual start date of July 1steach year instead of starting their contract one week prior to the start of fall classes, normally in late August. This additional period of time will be used to train new faculty in essential policies and procedures, to complete a variety of administrative tasks on campus, to get a head start on preparing for classes in the fall, and cleaning up those supplemental tasks that accompany every move to a new location. The goal of this early commitment to new faculty is to reduce the stress associated with preparing for a new course, in a new environment, with a new set of operating procedures. This will also enab

关键词： engineering education

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Semantic Communications for Artificial Intelligence Generated Content (AIGC) Toward Effective Content Creation

arXiv

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arXiv 2023年

作者： Liu, Guangyuan Du, Hongyang Niyato, Dusit Kang, Jiawen Xiong, Zehui Kim, Dong In Shen, Xuemin The School of Computer Science and Engineering The Energy Research Institute @ NTU Interdisciplinary Graduate Program Nanyang Technological University Singapore The School of Computer Science and Engineering Nanyang Technological University Singapore The School of Automation Guangdong University of Technology China The Pillar of Information Systems Technology and Design Singapore University of Technology and Design Singapore The Department of Electrical and Computer Engineering Sungkyunkwan University Korea Republic of The Department of Electrical and Computer Engineering University of Waterloo Canada

Artificial Intelligence Generated Content (AIGC) Services have significant potential in digital content creation. The distinctive abilities of AIGC, such as content generation based on minimal input, hold huge potential, especially when integrating with semantic communication (SemCom). In this paper, a novel comprehensive conceptual model for the integration of AIGC and SemCom is developed. Particularly, a content generation level is introduced on top of the semantic level that provides a clear outline of how AIGC and SemCom interact with each other to produce meaningful and effective content. Moreover, a novel framework that employs AIGC technology is proposed as an encoder and decoder for semantic information, considering the joint optimization of semantic extraction and evaluation metrics tailored to AIGC services. The framework can adapt to different types of content generated, the required quality and the semantic information utilized. By employing a Deep Q Network (DQN), a case study is presented that provides useful insights into the feasibility of the optimization problem and its convergence characteristics. © 2023, CC BY.

关键词： Wireless networks

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Agile parallel bioinformatics workflow management using Pwrake

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BMC Research Notes 2011年第1期4卷 1-8页

作者： Mishima, Hiroyuki Sasaki, Kensaku Tanaka, Masahiro Tatebe, Osamu Yoshiura, Koh-Ichiro Department of Human Genetics Nagasaki University Graduate School of Biomedical Sciences Nagasaki Nagasaki 1-12-4 Sakamoto Japan Nagasaki University Global Center of Excellence Program Nagasaki Nagasaki 1-12-4 Sakamoto Japan Center for Computational Sciences University of Tsukuba Tsukuba Ibaraki 1-1-1 Tennodai Japan Core Research for Evolutional Science and Technology Japan Science and Technology Agency Kawaguchi Saitama 4-1-8 Honcho Japan Departmentent of Computer Science Graduate School of Systems and Information Engineering University of Tsukuba Tsukuba Ibaraki 1-1-1 Tennodai Japan

Background: In bioinformatics projects, scientific workflow systems are widely used to manage computational procedures. Full-featured workflow systems have been proposed to fulfil the demand for workflow management. However, such systems tend to be over-weighted for actual bioinformatics practices. We realize that quick deployment of cutting-edge software implementing advanced algorithms and data formats, and continuous adaptation to changes in computational resources and the environment are often prioritized in scientific workflow management. These features have a greater affinity with the agile software development method through iterative development phases after trial and error. Here, we show the application of a scientific workflow system Pwrake to bioinformatics workflows. Pwrake is a parallel workflow extension of Ruby's standard build tool Rake, the flexibility of which has been demonstrated in the astronomy domain. Therefore, we hypothesize that Pwrake also has advantages in actual bioinformatics workflows. Findings. We implemented the Pwrake workflows to process next generation sequencing data using the Genomic Analysis Toolkit (GATK) and Dindel. GATK and Dindel workflows are typical examples of sequential and parallel workflows, respectively. We found that in practice, actual scientific workflow development iterates over two phases, the workflow definition phase and the parameter adjustment phase. We introduced separate workflow definitions to help focus on each of the two developmental phases, as well as helper methods to simplify the descriptions. This approach increased iterative development efficiency. Moreover, we implemented combined workflows to demonstrate modularity of the GATK and Dindel workflows. Conclusions: Pwrake enables agile management of scientific workflows in the bioinformatics domain. The internal domain specific language design built on Ruby gives the flexibility of rakefiles for writing scientific workflows. Furthermore, readability

关键词： Ruby Iterative Development Agile Software Development Host Language Bioinformatics Domain

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