This work-in-progress paper presents our current effort toward the development of compositional modeling formalisms and scalable algorithms for high-assurance design of industrial cyber-physical systems, with emphasis...
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ISBN:
(纸本)9781665409674
This work-in-progress paper presents our current effort toward the development of compositional modeling formalisms and scalable algorithms for high-assurance design of industrial cyber-physical systems, with emphasis on smart manufacturing systems. A requirement engineering methodology is implemented within CHASE, a software framework supporting contract-based representations of systems and components to facilitate analysis and design space exploration. We provide an overview of CHASE and discuss its application to the design of a robotic arm. This paper is accompanied by a poster describing the architecture of CHASE and a demonstration of its application to the case study.
In today's world of rapidly growing technological markets, image processing has become vital for systems to work on visual data. A noteworthy task would be lane detection in autonomous vehicles. A good lane detect...
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Think of cloud computing as outsourcing your computer power and storage needs to the internet. Instead of relying on your personal device's resources, we utilize remotely throughout internet to store, supervise, a...
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This paper discusses recent developments in the data-based modeling and control of nonlinear chemical process systems using sparse identification of nonlinear dynamics (SINDy). SINDy is a recent nonlinear system ident...
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Ultrasonic flow sensing offers significant advantages for non-invasive, adaptive monitoring in various scenarios. Traditional ultrasonic flowmeters are composed of paired transducers, which are used as TX/RX alternate...
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Bias in natural language processing systems can perpetuate and exacerbate societal inequalities, reflecting and potentially amplifying existing biases in human language and culture. Amharic, as the official language o...
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ISBN:
(纸本)9783031702419;9783031702426
Bias in natural language processing systems can perpetuate and exacerbate societal inequalities, reflecting and potentially amplifying existing biases in human language and culture. Amharic, as the official language of Ethiopia, holds cultural and linguistic significance, making it imperative to assess potential biases within its computational representations. This research paper investigates the presence and extent of gender bias in Amharic text corpora. The research utilizes gendered word pairs to capture gender representation in the word embeddings and quantifies the degrees of gender bias present in profession words. We found that profession words carried stereotypical implicit biases with most occupations leaning towards male. Profession words like "nurse" and "house-maid" align with societal gender dynamics, displaying significant female associations. Additionally, professions in the arts and athleticism demonstrate a robust female-leaning bias, while physically demanding and educated professional roles tend to exhibit male-leaning biases. The study contributes insights into the gender dynamics encoded within the Amharic language informing strategies to reduce bias and fostering fair and unbiased representations for improved societal and technological outcomes.
With the development of Fiber Bragg Grating (FBG) sensors, applications such as Structural Health Monitoring (SHM) systems, aerospace systems, and medical diagnostics have become highly accurate and more demanding. Ho...
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This article is devoted to the development of a robot arm with neural network control. This article presents the process of creating the electronic component of the device and design based on 3D printing technologies....
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The article proposes for consideration the process of functioning of a computer system (CS) in a system of residual classes (SRC) based on the use of the principle of fault tolerance. The fault tolerance of a computer...
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A comprehensive understanding of the topology of the electric power transmission network (EPTN) is essential for reliable and robust control of power systems. While existing research primarily relies on domain-specifi...
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