检索结果-内蒙古大学图书馆

Bimodal visual sensors Based on Mechanoluminescence and Biosensing for Artificial Intelligence-Assisted Orthodontics

引用

ADVANCED FUNCTIONAL MATERIALS 2025年第10期35卷

作者： Feng, Hao Lv, Yuesong Yang, Xin Wang, Jian Zhang, Xinxing Pei, Xibo Sichuan Univ West China Hosp Stomatol Natl Clin Res Ctr Oral Dis State Key Lab Oral DisDept Prosthodont Chengdu 610041 Peoples R China Sichuan Univ Polymer Res Inst State Key Lab Polymer Mat Engn Chengdu 610065 Peoples R China

Flexible visual sensors hold great potential for application in wearable electronics and health monitoring. However, the separate acquisition of various visual signals without mutual interference and their functional integration in internal biomedical devices remains a significant challenge. Here, a functional material that integrates mechanoluminescent units with biosensing units through supramolecular interactions, enabling bimodal non-interfering visual detection of orthodontic force and bacterial infection is presented. The orthodontic force induces fluorescence by facilitating the release of electrons from trapped energy levels, caused by the disruption or rearrangement of defect structures within strontium aluminate crystals. Meanwhile, the seamlessly integrated biosensing component can effectively detect lactic acid in a dose-dependent manner, underscoring its multifunctional capabilities in biosensing applications. Moreover, the development of a cloud-based deep learning server can achieve a 97.7% accuracy in the precise decoupling of visual signals, facilitating remote monitoring and enabling early intervention during orthodontic treatment. The proposed artificial intelligence-enhanced bimodal visual sensors represent a new paradigm for orthodontic monitoring, suitable for a wide range of biomedical applications.

关键词： artificial intelligence bimodal responsive mechanoluminescence orthodontic treatment visual sensors

来源：评论

学校读者我要写书评

暂无评论

Self-cure Dual-branch Network for Facial Expression Recognition Based on visual sensors

引用

sensors AND MATERIALS 2024年第11期36卷 4631-4649页

作者： Wu, Dongsheng Chen, Yifan Lin, Yuting Xu, Pengfei Gao, Dongxu Shenyang Ligong Univ Sch Automat & Elect Engn Shenyang 110159 Peoples R China Univ Portsmouth Sch Comp Portsmouth PO1 3HE England

With the rapid development of sensors and sensor technology, facial expression recognition (FER) systems can be developed and applied to real-world scenarios. Vision scan sensors and ambient light sensors capture clear and noise-free images of faces. However, in the real world, annotating large facial expressions is challenging owing to inconsistent labels, which are caused by the annotators' subjectivity and the facial expressions' ambiguity. Moreover, current studies present limitations when addressing facial expression differences due to the gender gap. We not only rely on visual sensors for FER but also utilize nonvisual sensors. Therefore, in this paper, we propose a self-cure dual-branch network (SC-DBN) for FER, which automatically prevents deep networks from overfitting ambiguous samples. First, on the basis of SC-DBN, a two-branch training method is designed, taking full advantage of the gender information. Furthermore, a self-attention mechanism highlights the essential samples and weights, each with a regular weighting. Finally, a relabeling module is used to modify the labels of these samples in inconsistent labels. Many experiments on public datasets show that SC-DBN can effectively integrate gendered information and self-cure networks to improve performance

关键词： visual sensors self-cure network two-branch method facial expression recognition

来源：评论

学校读者我要写书评

暂无评论

Approximate Lifting 2-D DWT Hardware Design for Image Encoder of Wireless visual sensors

引用

IEEE sensors JOURNAL 2023年第7期23卷 7868-7878页

作者： Mohanty, Basant Kumar Sambalpur Univ Inst Informat Technol Dept Elect & Commun Engn Burla 768019 Odisha India

In this article, a novel approximate hybrid multiplier design is proposed to reduce the data-path width of lifting 2-D discrete wavelet transform (DWT) especially for wireless visual sensor node applications. The proposed multiplier design takes multiplier operand of size less by 3 bit and calculates full-width outputs with marginal loss of accuracy, which is significant. A parallel approximate lifting 2-D DWT structure is derived using the proposed multiplier design. The proposed approximate 2-D DWT structure uses data-path width 9 and 11 for the first and second DWT levels and produces reconstructed color images higher than the 70-dB peak-signal-to-noise ratio (PSNR). Compared with the existing fractional wavelet transform (FrWT)-based 2-D DWT structures, the proposed structure has a smaller data-path width and free from overhead. The proposed structure has equal or marginally higher ON-chip memory requirement than the existing FrWT-based 2-D DWT structures, but involves a substantially less area-delay product (ADP) and energy per image (EPI). The ADP and EPI reduction is O(10(2) x). Compared with the existing parallel structure based on hybrid approximate radix-4 and radix-8 encoded Booth multiplier, the proposed approximate structure involves nearly 23% less ADP and 22% less EPI and calculates output images with nearly (4-7)-dB higher PSNR.

关键词： Approximation discrete wavelet transform (DWT) lifting scheme very large-scale integration (VLSI) visual sensors

来源：评论

学校读者我要写书评

暂无评论

Internet of Video Things: Next-Generation IoT With visual sensors

引用

IEEE INTERNET OF THINGS JOURNAL 2020年第8期7卷 6676-6685页

作者： Chen, Chang Wen Peng Cheng Lab Shenzhen 518055 Peoples R China Chinese Univ Hong Kong Sch Sci & Engn Shenzhen 518172 Peoples R China Univ Buffalo State Univ New York Dept Comp Sci & Engn Buffalo NY 14260 USA

The worldwide flourishing of the Internet of Things (IoT) in the past decade has enabled numerous new applications through the internetworking of a wide variety of devices and sensors. More recently, visual sensors have seen their considerable booming in IoT systems because they are capable of providing richer and more versatile information. Internetworking of large-scale visual sensors has been named Internet of Video Things (IoVT). IoVT has its own unique characteristics in terms of sensing, transmission, storage, and analysis, which are fundamentally different from the conventional IoT. These new characteristics of IoVT are expected to impose significant challenges to existing technical infrastructures. In this article, an overview of recent advances in various fronts of IoVT will be introduced and a broad range of technological and system challenges will be addressed. Several emerging IoVT applications will be discussed briefly to illustrate the potentials of IoVT in a broad range of practical scenarios.

关键词： Intelligent integration Internet of Things (IoT) Internet of Video Things (IoVT) IoVT applications pervasive networking smart visual signal analysis visual communication and networking visual sensors

来源：评论

学校读者我要写书评

暂无评论

FrWF-Based LMBTC: Memory-Efficient Image Coding for visual sensors

引用

IEEE sensors JOURNAL 2015年第11期15卷 6218-6228页

作者： Tausif, Mohd Kidwai, Naimur Rahman Khan, Ekram Reisslein, Martin Aligarh Muslim Univ Dept Elect Engn Aligarh 202002 Uttar Pradesh India Integral Univ Dept Elect & Commun Engn Lucknow 226026 Uttar Pradesh India Arizona State Univ Sch Elect Comp & Energy Engn Goldwater Ctr MC 5706 Tempe AZ 85287 USA

After the successful development of JPEG2000, many state-of-the-art wavelet-based image coding algorithms have been developed. However, the traditional discrete wavelet transform (DWT) is implemented with memory intensive and time-consuming algorithms and, therefore, has very high system resource requirements. In particular, the very large requirement of memory poses a serious limitation for multimedia applications on memory-constrained portable devices, such as digital cameras and sensor nodes. In this paper, we propose a novel wavelet-based image coder with low memory requirements and low complexity that preserves the compression efficiency. Our encoder employs the fractional wavelet filter (FrWF) to calculate the DWT coefficients, which are quantized and encoded with a novel low memory block tree coding (LMBTC) algorithm. The LMBTC is a listless form of the wavelet block tree coding algorithm. Simulation results demonstrate that the proposed coder significantly reduces memory requirements and computational complexity and has competitive coding efficiency in comparison with other state-of-the-art coders. The FrWF combined with the LMBTC is, thus, a viable option for image communication over wireless sensor networks.

关键词： Fractional wavelet filter low memory image codec visual sensors wireless sensor networks

来源：评论

学校读者我要写书评

暂无评论

Progressively Refined Wyner-Ziv Video Coding for visual sensors

引用

ACM TRANSACTIONS ON SENSOR NETWORKS 2014年第2期10卷 1–34页

作者： Deligiannis, Nikos Verbist, Frederik Slowack, Jurgen Van De Walle, Rik Schelkens, Peter Munteanu, Adrian Vrije Univ Brussel Dept Elect & Informat B-1050 Brussels Belgium iMinds B-9050 Ghent Belgium Univ Ghent Multimedia Lab ELIS Dept B-9050 Ghent Belgium

Wyner-Ziv video coding constitutes an alluring paradigm for visual sensor networks, offering efficient video compression with low complexity encoding characteristics. This work presents a novel hash-driven Wyner-Ziv video coding architecture for visual sensors, implementing the principles of successively refined Wyner-Ziv coding. To this end, so-called side-information refinement levels are constructed for a number of grouped frequency bands of the discrete cosine transform. The proposed codec creates side-information by means of an original overlapped block motion estimation and pixel-based multihypothesis prediction technique, specifically built around the pursued refinement strategy. The quality of the side-information generated at every refinement level is successively improved, leading to gradually enhanced Wyner-Ziv coding performance. Additionally, this work explores several temporal prediction structures, including a new hierarchical unidirectional prediction structure, providing both temporal scalability and low delay coding. Experimental results include a thorough evaluation of our novel Wyner-Ziv codec, assessing the impact of the proposed successive refinement scheme and the supported temporal prediction structures for a wide range of hash configurations and group of pictures sizes. The results report significant compression gains with respect to benchmark systems in Wyner-Ziv video coding (e. g., up to 42.03% over DISCOVER) as well as versus alternative state-of-the-art schemes refining the side-information.

关键词： Design Algorithms Performance Wyner-Ziv coding hash-driven distributed video coding low-cost encoding visual sensors successive refinement

来源：评论

学校读者我要写书评

暂无评论

Low Memory Architectures of Fractional Wavelet Filter for Low-Cost visual sensors and Wearable Devices

引用

IEEE sensors JOURNAL 2020年第13期20卷 6863-6871页

作者： Tausif, Mohd Jain, Abhinandan Khan, Ekram Hasan, Mohd Aligarh Muslim Univ Zakir Husain Coll Engn & Technol Dept Elect Engn Aligarh 202002 Uttar Pradesh India MIT Media Lab Cambridge MA 02139 USA

This paper proposes a low memory architecture of fractional wavelet filter for computing two-dimensional discrete wavelet transform of gray-scale images. The proposed architecture uses a data scanning order which mainly contributes to memory reduction. A multiplierless version of the proposed architecture is also designed to reduce the critical path delay equal to the delay of an adder. The proposed architectures and an existing low memory discrete wavelet transform architecture are implemented on the same field programmable gate array board and their performance are compared for different image resolutions. The results show that the proposed architectures (with and without multipliers) uses lesser basic blocks, such as look-up tables (about 85-94% less), flip-flops (about 85-90% less), consumes lesser dynamic power (about 58-75% less), and results in critical path delay reduction of (about 23-77%) compared to one of the best existing low memory discrete wavelet transform architecture for images of 1024 x 1024 pixels. These advantages are achieved in addition to reduction in memory requirement over the existing state-of-the-art architectures. Thus, the proposed architectures are viable options for calculating discrete wavelet transform coefficients of gray-scale images on low-cost memory-constrained platforms like visual sensors/wearable devices and Internet of things.

关键词： Discrete wavelet transforms sensors Memory management visualization Random access memory Fractional wavelet filter low-memory discrete wavelet transform architectures visual sensors wearable devices Internet of Things

来源：评论

学校读者我要写书评

暂无评论

On the mathematical modelling of visual sensors when computing coverage metrics in camera-based sensing applications

On the mathematical modelling of visual sensors when computi...

引用

IEEE IFAC International Conference on Automation (ICA) / 24th Congress of the Chilean-Association-of-Automatic-Control (ACCA)

作者： Costa, Daniel G. Peixoto, Joao Paulo J. State Univ Feira de Santana Dept Technol Feira De Santana BA Brazil Fed Inst Bahia Valenca Brazil

ISBN: (纸本)9781665401272

When designing and implementing visual sensor networks, mathematical models are frequently used to support better deployment strategies and quality assessment metrics in applications such as Smart Cities and Industry 4.0. However, the literature in this subject is not uniform and there are more than one way to model a visual sensor. This paper presents existing mathematical models and useful equations that can be employed when computing coverage, organizing and comparing them for different scenarios when analyzing coverage performance and computational costs. Moreover, a simulation scenario is defined considering a typical visual monitoring application in an industrial plant, presenting coverage results for different visual sensing models. Analyzing their mathematical costs, researchers can better decide which model and configuration parameters are more suitable for their needs, benefiting new works in this area.

关键词： visual sensors mathematical modelling coverage tracking smart cities Industry 4.0

来源：评论

学校读者我要写书评

暂无评论

Efficient Architectures of Fractional Wavelet Filter (FrWF) for visual sensors and Wearable Devices 17

Efficient Architectures of Fractional Wavelet Filter (FrWF) ...

引用

17th IEEE sensors Conference

作者： Tausif, Mohd. Jain, Abhinandan Khan, Ekram Hasan, Mohd. Aligarh Muslim Univ Zakir Hussain Coll Engn & Technol Dept Elect Engn Aligarh Uttar Pradesh India

ISBN: (纸本)9781538647073

In this paper a novel architecture for computing low memory wavelet transform of an image using Fractional Wavelet Filter (FrWF) is proposed. A multiplierless version of the proposed architecture is also designed to reduce the critical path delay (CPD) as low as the delay of an adder. This reduction in CPD allows its use at higher operating frequencies, thereby resulting in higher throughput. In order to test the effectiveness of the proposed multiplierless architecture, its performance is compared with one of the best state-of-the-art architecture by implementing them on the same FPGA. The results show that the proposed multiplierless architecture has 78.6% lower CPD, 83.95% fewer LUTs, 84.3% fewer FFs and 38.16% lower dynamic power compared to that of the state-of-the-art architecture implemented. Moreover, the memory requirement of the proposed architecture is less than the existing state-of-the-art architectures. Therefore, the proposed architecture is suitable for computing wavelet transform coefficients of images on low memory devices and visual sensors.

关键词： Fractional wavelet filter low-memory DWT architectures visual sensors

来源：评论

学校读者我要写书评

暂无评论

Efficient Hash-Driven Wyner-Ziv Video Coding for visual sensors

Efficient Hash-Driven Wyner-Ziv Video Coding for Visual Sens...

引用

13th International Conference on Advanced Concepts for Intelligent Vision Systems (ACIVS) / 5th ACM/IEEE International Conference on Distributed Smart Cameras (ICDSC)

作者： Deligiannis, Nikos Jacobs, Marc Verbist, Frederik Slowack, Jurgen Barbarien, Joeri Van de Walle, Rik Schelkens, Peter Munteanu, Adrian Vrije Univ Brussel Dept Elect & Informat ETRO Pleinlaan 2 B-1050 Brussels Belgium Univ Ghent ELIS Dept Multimedia Lab B-9050 Ghent Belgium Interdisciplinary Inst BroadBand Technol IBBT B-9050 Ghent Belgium

ISBN: (纸本)9781457717079

Recent advances in wireless visual sensor technology, have been calling for innovative architectures realizing efficient video coding under stringent processing and energy restrictions. Driven by profound findings in network information theory, Wyner-Ziv video coding constitutes a suitable paradigm for video sensor networks. This work presents a novel hash-driven Wyner-Ziv video coding architecture for visual sensors, which coarsely encodes a low resolution version of each Wyner-Ziv frame to facilitate accurate motion-compensated prediction at the decoder. The proposed method for side-information generation comprises hash-based multi-hypothesis pixel-based prediction. Once critical Wyner-Ziv information is decoded, the derived dense motion field is further enhanced. Experimental validation illustrates that the proposed hash-driven codec achieves significant compression gains with respect to state-of-the-art Wyner-Ziv video coding, even under demanding conditions.

关键词： Wyner-Ziv coding hash-driven distributed video coding low-cost encoding visual sensors

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：