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The fashion industry is increasingly leveraging computer vision and deep learning technologies to enhance online shopping experiences and operational efficiencies. In this paper, we address the challenge of generating high-fidelity tiled…

Computer Vision and Pattern Recognition · Computer Science 2025-01-06 Ioannis Xarchakos , Theodoros Koukopoulos

Nanogenerators and self-powered nanosensors have shown the potential to power low-consumption electronics and human-machine interfaces, but their practical implementation requires reliable, environmentally friendly and scalable, processes…

Biomedical and environmental testing currently require access to highly specialized facilities or extensive training. Current biochemical tests require complex reagents to achieve a simple human readable result such as a color change. This…

Aging populations and the rising prevalence of neurological and musculoskeletal disorders increase the demand for wearable mobility assistive devices that are effective, comfortable, and anatomically compatible. Many existing systems use…

Robotics · Computer Science 2025-11-11 Mohammed Abboodi

In this paper, we present Mixels, programmable magnetic pixels that can be rapidly fabricated using an electromagnetic printhead mounted on an off-the-shelve 3-axis CNC machine. The ability to program magnetic material pixel-wise with…

Human-Computer Interaction · Computer Science 2022-08-09 Martin Nisser , Yashaswini Makaram , Lucian Covarrubias , Amadou Bah , Faraz Faruqi , Ryo Suzuki , Stefanie Mueller

A key challenge in metasurface design is the development of algorithms that can effectively and efficiently produce high performance devices. Design methods based on iterative optimization can push the performance limits of metasurfaces,…

Nanoporous graphene (NPG), consisting of ordered arrays of nanopores separated by graphene nanoribbons was recently realized using a bottom-up synthesis method (Science 360(2018), 199). In this work we accordingly explored the mechanical…

Mesoscale and Nanoscale Physics · Physics 2019-03-12 Bohayra Mortazavi , Mohamed E. Madjet , Masoud Shahrokhi , Said Ahzi , Xiaoying Zhuang , Timon Rabczuk

A body area network (BAN) involving wearable sensors populated around the human body can continuously monitor physiological signals, finding applications in personal healthcare and athletic evaluation. Existing near-field communication…

Applied Physics · Physics 2024-02-22 Xia Zhu , Ke Wu , Xiaohang Xie , Stephan W. Anderson , Xin Zhang

Since wearable linkage mechanisms could control the moment transmission from actuator(s) to wearers, they can help ensure that even low-cost wearable systems provide advanced functionality tailored to users' needs. For example, if a hip…

Robotics · Computer Science 2023-08-23 Seok Won Kang , Jegyeong Ryu , Suh In Kim , Youngsoo Kim , Yoon Young Kim

Thermoelectric materials can generate electricity directly utilizing heat and thus, they are considered to be eco-friendly energy resources. The thermoelectric efficiency at low temperatures is impractically small, except only a few bulk…

Materials Science · Physics 2022-05-10 Enamul Haque

Macroscopic-scale nanostructures, situated at the interface of nanostructures and bulk materials, hold significant promise in the realm of thermoelectric materials. Nanostructuring presents a compelling avenue for enhancing material…

A new testing apparatus is proposed to measure the thermal properties of fabrics made from polymeric materials. The calibration of the apparatus and the data acquisition procedure are considered in detail in order to measure thermal…

Instrumentation and Detectors · Physics 2013-07-09 D. Romeli , G. Barigozzi , S. Esposito , G. Rosace , G. Salesi

Nanocomposites are promising candidates for the next generation of thermoelectric materials since they exhibit extremely low thermal conductivities as a result of phonon scattering on the boundaries of the various material phases. The…

Mesoscale and Nanoscale Physics · Physics 2017-12-06 Samuel Foster , Mischa Thesberg , Neophytos Neophytou

Nanofibrillated cellulose, a polymer that can be obtained from one of the most abundant biopolymers in Nature, is being increasingly explored due to its outstanding properties for packaging and device applications. Still, open challenges in…

Recent advances in teleoperation have enabled sophisticated manipulation of dexterous robotic hands, with most systems concentrating on guiding finger positions to achieve desired grasp configurations. However, while accurate finger…

Robotics · Computer Science 2026-03-09 Hengxu You , Tianyu Zhou , Fang Xu , Kaleb Smith , Eric Jing Du

The design of functional materials with desired properties is essential in driving technological advances in areas like energy storage, catalysis, and carbon capture. Generative models provide a new paradigm for materials design by directly…

Advances in low-power electronics and machine learning techniques lead to many novel wearable IoT devices. These devices have limited battery capacity and computational power. Thus, energy harvesting from ambient sources is a promising…

Signal Processing · Electrical Eng. & Systems 2022-03-21 Toygun Basaklar , Yigit Tuncel , Umit Y. Ogras

The problem of text-guided image generation is a complex task in Computer Vision, with various applications, including creating visually appealing artwork and realistic product images. One popular solution widely used for this task is the…

Computer Vision and Pattern Recognition · Computer Science 2023-04-04 Halil Faruk Karagoz , Gulcin Baykal , Irem Arikan Eksi , Gozde Unal

Electronic textiles (E-textiles) offer great wearing comfort and unobtrusiveness, thus holding potential for next-generation health monitoring wearables. However, the practical implementation is hampered by challenges associated with poor…

Medical Physics · Physics 2024-07-12 Junyi Zhao , Chansoo Kim , Weilun Li , Zichao Wen , Zhili Xiao , Yong Wang , Shantanu Chakrabartty , Chuan Wang

Real-world physical systems, like composite materials and porous media, exhibit complex heterogeneities and multiscale nature, posing significant computational challenges. Computational homogenization is useful for predicting macroscopic…

Computational Engineering, Finance, and Science · Computer Science 2024-07-29 Yuki Sato , Yuto Lewis Terashima , Ruho Kondo