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12th International Conference on Global Security, Safety and Sustainability, ICGS3 2019

作者： Alkhwaldi, Abeer Kamala, Mumtaz Qahwaji, Rami School of Electrical Engineering and Computer Science Bradford University Bradford United Kingdom Department of Management Information Systems School of Business Mutah University AlKarak Jordan

ISBN: (纸本)9781538670019

Security is one of the main and continual challenges that restrict government stakeholders (e.g. citizens) engagement with the cloud services. This paper has as its objective the discovery of the security perceptions of cloud-based e-government services from the citizens' and IT -staff perspectives. It investigates the factors that influence the citizen's perception of security. Little efforts have been done by previous literature to investigate and analyze the integration between citizens' concerns regarding the perceived security and those of IT -staff, the current study highlights this issue. This work provides an empirical study to understand citizens' priorities, needs and expectations regarding the perceived security of cloud-based e-government services which are a novel e-government initiative in Jordan, also enriches the existing security perceptions literature by introducing new insights. An interpretive-qualitative approach was adopted, as it helps to understand the participants' perceptions in the research natural setting. © 2019 IEEE.

关键词： Web services

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An FNLP Approach for Planning Energy-efficient Manufacturing: Wafer Fabrication as an Example

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Procedia Manufacturing 2019年 38卷 439-446页

作者： Yi-Chi Wang Tin-Chih Toly Chen Department of Industrial Engineering and Systems Management Feng Chia University Taichung Taiwan Department of Industrial Engineering and Management National Chiao Tung Unversity Hsinchu Taiwan

Energy efficiency is a key manufacturing goal. This paper propose a novel fuzzy nonlinear programming (FNLP) approach to production planning to minimize energy wastage due to poor quality control. Manufacturing is modeled a fuzzy yield learning process to quantify energy savings for each specific product, and these values can be summed to produce total power consumption for the factory. Finally, the proposed FNLP approach formulates and solves a FNLP problem to minimize the total energy consumption in the factory by optimizing the product mix. Some theoretical properties of the proposed FNLP approach are discussed. A wafer fab is used as an example to illustrate the applicability of the proposed FNLP approach, with experimental results showing a potential reduction of 17.2% of total power consumption by optimizing the product mix.

关键词： energy efficiency power consumption yield fuzzy nonlinear programming wafer fab

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Haptic display for virtual reality: progress and challenges

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Virtual Reality & Intelligent Hardware 2019年第2期1卷 136-162页

作者： Dangxiao WANG Yuan GUO Shiyi LIU Yuru ZHANG Weiliang XU Jing XIAO State Key Laboratory of Virtual Reality Technology and Systems Beihang UniversityBeijing 100083China Beijing Advanced Innovation Center for Biomedical Engineering Beihang UniversityBeijing 100083China Peng Cheng Laboratory Shenzhen 518055China Department of Mechanical Engineering University of AucklandAuckland 1142New Zealand School of Computer Science and the Robotics Engineering Program Worcester Polytechnic InstituteWorcesterMA 01609-2280USA

Immersion, interaction, and imagination are three features of virtual reality (VR). Existing VR systems possess fairly realistic visual and auditory feedbacks, and however, are poor with haptic feedback, by means of which human can perceive the physical world via abundant haptic properties. Haptic display is an interface aiming to enable bilateral signal communications between human and computer, and thus to greatly enhance the immersion and interaction of VR systems. This paper surveys the paradigm shift of haptic display occurred in the past 30 years, which is classified into three stages, including desktop haptics, surface haptics, and wearable haptics. The driving forces, key technologies and typical applications in each stage are critically reviewed. Toward the future high-fidelity VR interaction, research challenges are highlighted concerning handheld haptic device, multimodal haptic device, and high fidelity haptic rendering. In the end, the importance of understanding human haptic perception for designing effective haptic devices is addressed.

关键词： Haptic display Virtual reality Desktop haptics Surface haptics Wearable haptics Multimodal haptics

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Why solve NASA open innovation challenges? An analysis of solver motivations from NASA's Astrobee challenge series 70

Why solve NASA open innovation challenges? An analysis of so...

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70th International Astronautical Congress, IAC 2019

作者： Zhang, Lihui Lydia Szajnfarber, Zoe Technology and Policy Program Massachusetts Institute of Technology 77 Massachusetts Ave CambridgeMA02139 United States Engineering Management and Systems Engineering George Washington University 800 22nd St NW WashingtonDC20052 United States

In the past decade, NASA and organizations around the world have exploited open challenges as both a source of innovation and a way to increase awareness of their products and business. Some famous examples include the NASA Centennial Challenges, Google Lunar X-Prize, and ESA Grand Challenge. While extensive research has been focused on the novelty and appropriateness of the solutions, and challenge winners have been profiled extensively, little is known about the broader group of participants, and particularly what drives them to participate. Knowing why solvers enter the solving pool can enable organizations, like NASA, to more effectively tap into their motivations and thereby improve challenge efficiency. This paper takes a step towards that goal, analyzing a unique dataset of 9000+ self-reported motivations, produced during the NASA-Freelancer Astrobee Challenge Series. With inductive coding and supervised Natural Language Processing algorithm, we learned the different categories and distributions of motivation from this data set. We then compare such empirical classification to those discussed in literature and by practitioners of open challenges. This enabled a test of whether NASA challenges activate different motivations than do typical challenges. We also coded motivations for specific references to "NASA" and its mission. We found evidence to support "NASA bump", a phenomenon widely discussed in the field but rarely studied, where people are motivated to participate open challenges due to some level of emotional affiliation to NASA. Implications of these findings are discussed. Copyright © 2019 by the International Astronautical Federation (IAF). All rights reserved.

关键词： NASA

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Global Sensitivity Analysis of a Coupled Hydro-Economic Model and Groundwater Restriction Assessment

Research Square

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Research Square 2021年

作者： Rodríguez-Flores, José M. Valero-Fandiño, Jorge A. Cole, Spencer A. Malek, Keyvan Karimi, Tina Zeff, Harrison B. Reed, Patrick M. Escriva-Bou, Alvar Medellín-Azuara, Josué University of California Merced Environmental Systems Program MercedCA95340 United States Cornell University School of Civil and Environmental Engineering IthacaNY14853 United States University of North Carolina at Chapel Hill Department of Environmental Sciences and Engineering Chapel Hill NC27599 United States Water Policy Center Public Policy Institute of California San FranciscoCA94111 United States

The modeling of coupled food-water systems to represent the effect of water supply variability as well as shocks that may emerge from changes in policies, economic drivers, and productivity requires an understanding of dominant uncertainties. These uncertainties cascade into forecasts of impacts of water management policies, such as groundwater pumping restrictions. This paper assesses how parametric, crop price, crop yields, surface water price, and electricity price uncertainties shape hydro-economic model estimates for agricultural production through a diagnostic global sensitivity analysis (GSA).The diagnostic GSA explores how the uncertainties in combination with a candidate groundwater pumping restriction influence three metrics of concern: total economic revenue, total land use and groundwater depth change. The hydro-economic model integrates a Groundwater Response Function (GRF) by integrating an Artificial Neural Network (ANN) into a calibrated Positive Mathematical programming (PMP) production model for the Wheeler Ridge-Maricopa Water Storage District located in Kern County, California. Our results show that in addition to groundwater pumping restriction, performance metrics of the system are highly sensitive to prices and yields particularly of profitable crops. These sensitivities become salient during dry years when there is a higher reliance on groundwater. © 2021, CC BY.

关键词： Sensitivity analysis

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A Brief Review of Explainable Artificial Intelligence in Healthcare

SSRN

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SSRN 2023年

作者： Sadeghi, Zahra Alizadehsani, Roohallah Cifci, Mehmet Akif Kausar, Samina Rehman, Rizwan Mahanta, Priyakshi Bora, Pranjal Kumar Almasri, Ammar Alkhawaldeh, Rami S. Hussain, Sadiq Alatas, Bilal Shoeibi, Afshin Moosaei, Hossein Hladík, Milan Nahavandi, Saeid Pardalo, Panos M. Institute for Big Data Analytics Faculty of Computer Science Dalhousie University Canada Deakin University Geelong Australia The Institute of Computer Technology Tu Wien University Vienna1040 Austria University of Kotli Azad Jammu and Kashmir Azad Kashmir Kotli Pakistan Centre for Computer Science and Applications Dibrugarh University Assam India Department of Management Information Sys Al-Balqa Applied University Salt19117 Jordan Department of Computer Information Systems The University of Jordan Aqaba77110 Jordan Examination Branch Dibrugarh University Assam Dibrugarh India Department of Software Eng. Firat University Elazig23100 Turkey Data Science and Computational Intelligence Institute University of Granada Spain Department of Informatics Faculty of Science Jan Evangelista Purkyně University in Ústí nad Labem Czech Republic Department of Applied Mathematics School of Computer Science Faculty of Mathematics and Physics Charles University Prague Czech Republic Harvard Paulson School of Engineering and Applied Sciences Harvard University AllstonMA02134 United States Swinburne University of Technology HawthornVIC3122 Australia Center for Applied Optimization Department of Industrial and Systems Engineering University of Florida Gainesville32611 United States

XAI refers to the techniques and methods for building AI applications which assist end users to interpret output and predictions of AI models. Black box AI applications in high-stakes decision-making situations, such as medical domain have increased the demand for transparency and explainability since wrong predictions may have severe consequences. Model explainability and interpretability are vital successful deployment of AI models in healthcare practices. AI applications' underlying reasoning needs to be transparent to clinicians in order to gain their trust. This paper presents a systematic review of XAI aspects and challenges in the healthcare domain. The primary goals of this study are to review various XAI methods, their challenges, and related machine learning models in healthcare. The methods are discussed under six categories: Features-oriented methods, global methods, concept models, surrogate models, local pixel-based methods, and human-centric methods. Most importantly, the paper explores XAI role in healthcare problems to clarify its necessity in safety-critical applications. The paper intends to establish a comprehensive understanding of XAI-related applications in the healthcare field by reviewing the related experimental results. To facilitate future research for filling research gaps, the importance of XAI models from different viewpoints and their limitations are investigated. © 2023, The Authors. All rights reserved.

关键词： Decision making

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Shortest Path Queries for Indoor Venues with Temporal Variations

Shortest Path Queries for Indoor Venues with Temporal Variat...

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International Conference on Data engineering

作者： Tiantian Liu Zijin Feng Huan Li Hua Lu Muhammad Aamir Cheema Hong Cheng Jianliang Xu Department of Computer Science Aalborg University Denmark Department of Systems Engineering and Engineering Management The Chinese University of Hong Kong Hong Kong Faculty of Information Technology Monash University Australia Department of Computer Science Hong Kong Baptist University Hong Kong

ISBN: (数字)9781728129037

ISBN: (纸本)9781728129044

Indoor shortest path query (ISPQ) is of fundamental importance for indoor location-based services (LBS). However, existing ISPQs ignore indoor temporal variations, e.g., the open and close times associated with entities like doors and rooms. In this paper, we define a new type of query called Indoor Temporal-variation aware Shortest Path Query (ITSPQ). It returns the valid shortest path based on the up-to-date indoor topology at the query time. A set of techniques is designed to answer ITSPQ efficiently. We design a graph structure (IT-Graph) that captures indoor temporal variations. To process ITSPQ using IT-Graph, we design two algorithms that check a door's accessibility synchronously and asynchronously, respectively. We experimentally evaluate the proposed techniques using synthetic data. The results show that our methods are efficient.

关键词： Topology Partitioning algorithms Computer science Navigation Buildings Hospitals Legged locomotion

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Multimodal Whole Slide Foundation Model for Pathology

arXiv

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arXiv 2024年

作者： Ding, Tong Wagner, Sophia J. Song, Andrew H. Chen, Richard J. Lu, Ming Y. Zhang, Andrew Vaidya, Anurag J. Jaume, Guillaume Shaban, Muhammad Kim, Ahrong Williamson, Drew F.K. Chen, Bowen Almagro-Perez, Cristina Doucet, Paul Sahai, Sharifa Chen, Chengkuan Komura, Daisuke Kawabe, Akihiro Ishikawa, Shumpei Gerber, Georg Peng, Tingying Le, Long Phi Mahmood, Faisal Department of Pathology Mass General Brigham Harvard Medical School BostonMA United States Data Science Program Dana-Farber Cancer Institute BostonMA United States Cancer Program Broad Institute of Harvard and MIT CambridgeMA United States John A. Paulson School of Engineering and Applied Sciences Harvard University CambridgeMA United States Helmholtz Munich German Research Center for Environment and Health Munich Germany School of Computation Information and Technology Technical University of Munich Munich Germany Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology CambridgeMA United States Harvard-MIT Division of Health Sciences and Technology Massachusetts Institute of Technology CambridgeMA United States Department of Pathology Pusan National University Busan Korea Republic of Department of Pathology and Laboratory Medicine Emory University School of Medicine AtlantaGA United States Harvard Data Science Initiative Harvard University CambridgeMA United States Department of Systems Biology Harvard Medical School BostonMA United States Department of Preventive Medicine Graduate School of Medicine The University of Tokyo Tokyo Japan Division of Pathology National Cancer Center Exploratory Oncology Research & Clinical Trial Center Chiba Japan

The field of computational pathology has been transformed with recent advances in foundation models that encode histopathology region-of-interests (ROIs) into versatile and transferable feature representations via self-supervised learning (SSL). However, translating these advancements to address complex clinical challenges at the patient and slide level remains constrained by limited clinical data in disease-specific cohorts, especially for rare clinical conditions. We propose TITAN, a multimodal whole slide foundation model pretrained using 335,645 WSIs via visual self-supervised learning and vision-language alignment with corresponding pathology reports and 423,122 synthetic captions generated from a multimodal generative AI copilot for pathology. Without any finetuning or requiring clinical labels, TITAN can extract general-purpose slide representations and generate pathology reports that generalize to resource-limited clinical scenarios such as rare disease retrieval and cancer prognosis. We evaluate TITAN on diverse clinical tasks and find that TITAN outperforms both ROI and slide foundation models across machine learning settings such as linear probing, few-shot and zero-shot classification, rare cancer retrieval and cross-modal retrieval, and pathology report generation. The model is publicly accessible at https://***/mahmoodlab/TITAN © 2024, CC BY-NC-ND.

关键词： Self-supervised learning

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An Iterative heuristic algorithm for minimizing total weighted tardiness of unrelated parallel batch processing machines with unequal ready times

An Iterative heuristic algorithm for minimizing total weight...

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2019 Institute of Industrial and systems Engineers Annual Conference and Expo, IISE 2019

作者： Hulett, Maria Damodaran, Purushothaman Department of Management Science University of Miami MiamiFL33124 United States Department of Industrial and Systems Engineering Northern Illinois University DeKalbIL60115 United States

ISBN: (纸本)9781713814092

Unrelated Batch Processing Machines (BPM) can simultaneously process several jobs as a batch, as long as the machine capacity is not exceeded. This type of machine is found in diverse manufacturing and service environments in which machines may have different speeds for different jobs. Specifically, this work was motivated by a practical application observed at an electronics manufacturing and testing facility. The objective is to schedule the batches formed on the machines such that the total weighted tardiness is minimized. Since the problem under study is NP-hard, an iterative heuristic algorithm, based on some dispatching rules, is proposed. This heuristic considers the batching and scheduling problems simultaneously by iteratively assigning jobs to batches and machines that provides the smallest increment in the total weighted tardiness. To verify the effectiveness of the heuristic a set of problem instances were generated combining the number of jobs, job size, spread of the release dates, and tightness of the due dates. Results were compared to a heuristic to form batches using five different dispatching rules to sequence the job. Experimental results indicate that the proposed heuristic is an effective rule for this scheduling problem and outperforms on average the other heuristic. © 2019 IISE Annual Conference and Expo 2019. All rights reserved.

关键词： Heuristic algorithms

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Adoption of mobile banking 12

Adoption of mobile banking

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12th International Conference on ICT, Society and Human Beings, ICT 2019, 5th International Conference on Connected Smart Cities, CSC 2019 and the 16th International Conference on Web Based Communities and Social Media, WBC 2019

作者： Carmi, Golan Drezner, Nethanel Jay Information Systems Department Havaad Haleumi 21 Jerusalem91160 Israel Industrial Engineering and Management Department Jerusalem College of Technology Havaad Haleumi 21 Jerusalem91160 Israel

ISBN: (纸本)9789898533906

The study examines which technical and psychological factors affect the willingness of the consumer to adopt a new financial application, as part of the transition to mobile banking. Six factors were examinee: relative advantage, complexity, compatibility, accessibility, trialability and perceived risk. To this end, a self-reported questionnaire was distributed via social media among 402 banking customers. Findings indicate that the four criteria with the significant impact on adoption of a financial application to smartphones are: relative advantage, compatibility, accessibility and trialability. © 2019 IADIS Press. All rights reserved.

关键词： Smartphones

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