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2019 Portland International Conference on management of engineering and Technology, PICMET 2019

作者： Cetindamar, D. Kocaoglu, D. Lammers, T. Merigo, J.M. School of Information Systems and Modelling Faculty of Engineering and Information Technology University of Technology Sydney Sydney Australia Engineering and Technology Management Department Portland State University PortlandOR United States Dep. of Management Control and Information Systems School of Economics and Business University of Chile Santiago Chile

ISBN: (纸本)9781890843403

The Portland International Centre for management of engineering and Technology (PICMET) was established in 1989. It has since become one of the leading organizations in the field of management of engineering and technology in the world. PICMET provides a strong platform for academicians, industry professionals and government representatives to exchange new knowledge derived from both research and implementation of technology management. To celebrate its 30-year journey, and to show the trends in technology management research and implementation over the past ten years (2009-2018), this paper presents a bibliometric analysis of the more than 3000 papers accepted for inclusion in PICMET conferences. The study highlights the topics, authors, journals and countries where significant research on technology management is conducted. © 2019 PICMET.

关键词： Knowledge management

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Fabrication and Comprehensive Assessment of Mesoporous Bioactive Glass Based Nanomedicines for Anti-Cancer Therapy and Bone Forming Events

SSRN

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SSRN 2023年

作者： Shoaib, Muhammad Ismail, Sidra Arshad, Ifzan Rahman, Muhammad Saif ur Kamal, Abida Qamar, Muhammad Afzal Bahadur, Ali Department of Chemistry Government Graduate College Samanabad Faisalabad38000 Pakistan Basic Health unit Chak No. 418 GB Faisalabad Pakistan Department of Chemistry University of Management and Technology Lahore Sialkot Campus Pakistan Institute for Advanced Study Shenzhen University Shenzhen518060 China Key Laboratory of Optoelectronic Devices and Systems Ministry of Education Guangdong province College of Physics and Optoelectronic Engineering Shenzhen University China Department of Chemistry University of Agriculture Faisalabad Pakistan Department of Transdisciplinary Studies Graduate School of Convergence Science and Technology Seoul National University Seoul16229 Korea Republic of Government Postgraduate College

Controlled drug release by using nanomedicines (NM) is one of the significant methods in chemotherapy. In this study, cancer cells were treated by modulating the release of cyclophosphamide using copper doped mesoporous bioactive glass (Cu-MBG) nanoparticles (NPs). These NPs were also used to repair and regenerate the lost bone-tissues. One-pot synthesized NPs were characterized by FTIR, XRD, SEM, TEM, EDX, BET, and BJH. Size, surface area, and pore size of these NPs were determined to be 60 ± 5 nm, 313 m2/g, and 10.74 nm respectively. Their osteogenic potential was established by using biomarkers such as alkaline phosphatase (ALP) activity and osteocalcin (OC) assay. Biocompatibility was evaluated by MTT assay, which showed no cytotoxicity in normal human fibroblast (NHFB) cells. By using different initial concentrations (2-10 mg/mL), the amount of cyclophosphamide (Cpa) loaded was varied and NM expressed a cumulative release of 65-89%, which inhibited the viability of U2OS cancer cells. Keeping in view of all these results, it was endorsed that these biocompatible Cu-MBG NPs can be potentially used for controlled drug delivery, antibacterial applications, and bone regeneration. © 2023, The Authors. All rights reserved.

关键词： Cancer cells

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Optimal Placement of Limited PMUs for Transmission Line Outage Detection and Identification

Optimal Placement of Limited PMUs for Transmission Line Outa...

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International Conference on Probabilistic Methods Applied to Power systems (PMAPS)

作者： Xiaozhou Yang Nan Chen Chao Zhai Department of Industrial Systems Engineering and Management National University of Singapore Singapore Singapore School of Automation China University of Geosciences Wuhan China

ISBN: (数字)9781728128221

ISBN: (纸本)9781728128238

Phasor Measurement Unit (PMU) technology is increasingly used for real-time monitoring applications, especially line outage detection and identification (D&I) in the power system. Current outage D&I schemes either assume a full PMU deployment or a partial deployment with fixed PMU placement. However, the placement of the PMUs has a fundamental impact on the effectiveness of the D&I scheme. Building on a dynamic relationship between the substation voltage phase angle and active power, we formulated the optimal PMU placement problem for outage D&I as an optimization problem readily solvable by any heuristic algorithm. We tested the formulation using a genetic algorithm and simulated outages of IEEE 39 bus system. The optimal placement found produces a better D&I result of single-line outages than a randomly scattered, tree-like, and degree-based placements.

关键词： Phasor measurement units Genetic algorithms Optimization Power system dynamics Power transmission lines Jacobian matrices Transmission line measurements

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Framing Artificial Intelligence (AI) Additive Manufacturing (AM)

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Procedia Computer Science 2021年 186卷 387-394页

作者： Bernhard Heiden Volodymyr Alieksieiev Matthias Volk Bianca Tonino-Heiden Industrial Engineering and Management Studiengang Carinthia University of Applied Sciences Europastrasse 4 9524 Villach Austria Philosophy Institute University of Graz Heinrichstr. 26/V 8010 Graz Austria Institute for Mechanical Engineering and Transport National Technical University “Kharkiv Polytechnic Institute” Kyrpychova 2 61002 Kharkiv Ukraine Department of Technical and Business Information Systems (ITI) Otto-von-Guericke-University Magdeburg Universitaetsplatz 2 39106 Magdeburg Germany

Nowadays AM is a rapidly growing and emerging discipline in manufacturing, as well as AI is in informational applications. Both are related to logistical and self-referential/-copying concepts which make them scalable. What is in AM osmotic mass production spreading is in AI-related Cyber-Physical systems (CPS) the osmotic computational approach. AI-AM self-propagatedly framed is itself an emerging field, which can be logically or systematically unified. The paper investigates firstly recent developments in the field of the AM process flow and how it is related to AI applications. The result is a list of logistical, organisational, and industrial process steps as well as modern and future AI-AM applications. The extended approach then gives prospect to a meta-perspectively embedded osmotic decentralized computing, as well as an osmotic manufacturing paradigm, which utilizes glocal functions, concerning local production as well as global distributed material and information transport nets and their connection graphs.

关键词： Artificial Intelligence AI Additive Manufacturing AM Production Production Technology Production Control Production engineering System Theory Graph Theory

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An improved entropy function for the intuitionistic fuzzy sets with application to cloud vendor selection

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Decision Analytics Journal 2023年 7卷

作者： Krishankumar, Raghunathan Ravichandran, K.S. Aggarwal, Manish Pamucar, Dragan Information Technology Systems and Analytics Area Indian Institute of Management Bodh Gaya Bihar Bodh Gaya 824234 India Department of Mathematics Amrita School of Physical Sciences Coimbatore Amrita Vishwa Vidyapeetham India School of Artificial Intelligence and Data Science IIT Jodhpur Jodhpur India Digital Humanties IIT Jodhpur Jodhpur India Faculty of Organizational Sciences University of Belgrade Serbia College of Engineering Yuan Ze University Taiwan

This study proposes a novel entropy function for the intuitionistic fuzzy sets to improve the existing fuzzy entropy measure. We introduce an attitude-based entropy measure by methodically calculating the experts’ attitude values through variance approach. We discuss several important properties and present an example to demonstrate the applicability and efficacy of the proposed method. An illustrative example exhibits the effectiveness of the proposed intuitionistic fuzzy entropy functions and measures. We further show the superiority of the proposed intuitionistic fuzzy entropy measures over the existing measures. © 2023 The Author(s)

关键词： Aggarwal entropy Cloud vendor selection Decision-making Intuitionistic fuzzy sets Uncertainty

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Development of Modern Forecasting Models

Development of Modern Forecasting Models

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International Conference on management of Large-Scale System Development (MLSD)

作者： Vera Ivanyuk Konstantin Shuvalov Gurami Akhobadze Victoria Malekova Alexey Mikhailov Kiril Levchenko Department of Data Analysis and Machine Learning Financial University Under the Government of the Russian Federation Moscow Russia Department of Higher Mathematics Bauman Moscow State Technical University Moscow Russia Laboratory of Management of Large-Scale System Development V.A.Trapeznikov Institute of Control Sciences of RAS Moscow Russia Laboratory of Network Systems Control V. A.Trapeznikov Institute of Control Sciences of RAS Moscow Russia Department of Financial Markets and Financial Engineering Financial University Under the Government of the Russian Federation Moscow Russia Department of Mathematics Financial University Under the Government of the Russian Federation Moscow Russia

The paper analyzed ensemble forecasting models. The results showed that ensemble models can improve forecasting performance by compensating for the shortcomings of weak models.

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Convergence of Artificial Intelligence and the Internet of Things 1

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丛书名： Internet of Things

2020年

作者： George Mastorakis Constandinos X. Mavromoustakis Jordi Mongay Batalla Evangelos Pallis

ISBN: (数字)9783030449070

ISBN: (纸本)9783030449063;9783030449094

The book is intended for researchers, practitioners, engineers and scientists involved in the design and development of protocols and AI applications for IoT-related devices. As the book covers a wide range of mobile applications and scenarios where IoT technologies can be applied, it also offers an essential introduction to the field.

关键词： Information systems Applications (incl. Internet) Communications engineering, Networks Artificial Intelligence Computational Intelligence

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Characterization of a turbulent atmosphere simulator forqubits testbed

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Applied Optics 2025年第18期64卷 E140-E151页

作者： Keith A Wyman Noah S Everett Milo W Hyde Michael R Grimaila Robert N Lanning Anil K Patnaik Department of Engineering Physics Air Force Institute of Technology 2950 Hobson Way Wright-Patterson AFB Ohio 45433 USA Department of Systems Engineering and Management Air Force Institute of Technology 2950 Hobson Way Wright-Patterson AFB Ohio 45433 USA Air Force Research Laboratory (AFRL) Directed Energy Directorate Kirtland Air Force Base New Mexico 87117 USA

We developed alaboratory-scale testbed to simulate atmospheric turbulence effectsand to investigate the role of turbulence on the quantum informationcontent of a free-space qubit transport. We report the development,characterization, and calibration of the testbed for the statisticalparameters of the turbulence employing two phase screens, whichproduced weak to strong turbulence replicating long distances in theatmosphere for single photon propagation. By taking a long-exposureimage of the point-spread function of a pinhole and analyzing theassociated modulation transfer function, we measured a $D/{r_0}$ ranging from 1.04 to 23.27. Usingirradiance fluctuations, we measured an on-axis scintillation indexranging from 0.25 to 2.02. The TASQ was designed to integrate abiphoton source, along with a single photon detection module to testthe effect of turbulence on qubit transport. The calibrated setup willprovide critical data for field experiments involving long-distancequantum networks.

关键词： Atmospheric turbulence Calibration Optical systems Phase plates Quantum key distribution systems design

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Assessing Engraftment Following Fecal Microbiota Transplant

arXiv

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arXiv 2024年

作者： Herman, Chloe Barker, Bridget M. Bartelli, Thais F. Chandra, Vidhi Krajmalnik-Brown, Rosa Jewell, Mary Li, Le Liao, Chen McAllister, Florencia Nirmalkar, Khemlal Xavier, Joao B. Caporaso, J. Gregory Pathogen and Microbiome Institute Northern Arizona University FlagstaffAZ United States School of Informatics Computing and Cyber Systems Northern Arizona University FlagstaffAZ United States Department of Clinical Cancer Prevention University of Texas MD Anderson Cancer Center HoustonTX United States Biodesign Center for Health Through Microbiomes Arizona State University TempeAZ United States School of Sustainable Engineering and the Built Environment Arizona State University TempeAZ United States Independent author Salt Lake CityUT United States Program for Computational and Systems Biology Memorial Sloan-Kettering Cancer Center New YorkNY United States Department of Gastrointestinal Medical Oncology University of Texas MD Anderson Cancer Center HoustonTX United States Department of Immunology The University of Texas MD Anderson Cancer Center HoustonTX United States Department of Biological Sciences Northern Arizona University FlagstaffAZ United States

Fecal Microbiota Transplant (FMT) is an FDA approved treatment for recurrent Clostridium difficile infections, and is being explored for other clinical applications, from alleviating digestive and neurological disorders, to priming the microbiome for cancer treatment, and restoring microbiomes impacted by cancer treatment. Quantifying the extent of engraftment following an FMT is important in determining if a recipient didn’t respond because the engrafted microbiome didn’t produce the desired outcomes (a successful FMT, but negative treatment outcome), or the microbiome didn’t engraft (an unsuccessful FMT and negative treatment outcome). The lack of a consistent methodology for quantifying FMT engraftment extent hinders the assessment of FMT success and its relation to clinical outcomes, and presents challenges for comparing FMT results and protocols across studies. Here we review 46 studies of FMT in humans and model organisms and group their approaches for assessing the extent to which an FMT engrafts into three criteria: 1) Chimeric Asymmetric Community Coalescence investigates microbiome shifts following FMT engraftment using methods such as alpha diversity comparisons, beta diversity comparisons, and microbiome source tracking. 2) Donated Microbiome Indicator Features tracks donated microbiome features (e.g., amplicon sequence variants or species of interest) as a signal of engraftment with methods such as differential abundance testing based on the current sample collection, or tracking changes in feature abundances that have been previously identified (e.g., from FMT or disease-relevant literature). 3) Temporal Stability examines how resistant post-FMT recipient’s microbiomes are to reverting back to their baseline microbiome. Individually, these criteria each highlight a critical aspect of microbiome engraftment;investigated together, however, they provide a clearer assessment of microbiome engraftment. We discuss the pros and cons of each of these criteria,

关键词： Diseases

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Unsupervised cross-lingual Speech Emotion Recognition using Domain Adversarial Neural Network

arXiv

引用

arXiv 2020年

作者： Cai, Xiong Wu, Zhiyong Zhong, Kuo Su, Bin Dai, Dongyang Meng, Helen Tsinghua-CUHK Joint Research Center for Media Sciences Technologies and Systems Shenzhen International Graduate School Tsinghua University Shenzhen China Department of Systems Engineering and Engineering Management The Chinese University of Hong Kong Shatin N.T. Hong Kong

By using deep learning approaches, Speech Emotion Recognition (SER) on a single domain has achieved many excellent results. However, cross-domain SER is still a challenging task due to the distribution shift between source and target domains. In this work, we propose a Domain Adversarial Neural Network (DANN) based approach to mitigate this distribution shift problem for cross-lingual SER. Specifically, we add a language classifier and gradient reversal layer after the feature extractor to force the learned representation both language-independent and emotion-meaningful. Our method is unsupervised, i. e., labels on target language are not required, which makes it easier to apply our method to other languages. Experimental results show the proposed method provides an average absolute improvement of 3.91% over the baseline system for arousal and valence classification task. Furthermore, we find that batch normalization is beneficial to the performance gain of DANN. Therefore we also explore the effect of different ways of data combination for batch normalization. Copyright © 2020, The Authors. All rights reserved.

关键词： Deep learning

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