Miniaturized thermal purge-and-trap device combined with self-calibration colorimetric/SERS dual-model optical sensors for highly rapid and selective detection of sulfur dioxide in... by Yun Wu, Meiqi Wang, Ying Gu, Kun Ge

“…The SO2 can be rapidly separated from wine and enriched by MTPT device, ensuring colorimetric/SERS dual-model optical sensing based on Karl Fischer reaction. The high separation efficiency of miniaturized MTPT device combined with self-calibration of dual-model optical sensors significantly alleviate matrix interference and improve the detection accuracy. …”
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Switching Algorithm with Prediction Strategy for Maximizing Lifetime in Wireless Sensor Network by Chuan-Jun Yi, Geng Yang, Hua Dai, Liang Liu, Ning Li

“…In wireless sensor networks (WSNs), the sensed data of each node are usually gathered through a data collection tree rooted at the sink node. …”
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Quantification of soil losses using RUSLE model in the Boumlal watershed (Central Rif, Morocco) by El Ouazani Ech-Chahdi Khadija, El-Bouhali Abdelaziz, Amyay Mhamed

“…This contribution estimates soil losses in the Boumlal watershed by applying the Revised Universal Soil Loss Equation (RUSLE) and using GIS and remote sensing. This model incorporates five essential factors in water erosion: rainfall erosivity (R), soil erodibility (K), slope length (LS), cover management (C), and erosion control practice (P). …”
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Wireless microwave-to-optical conversion via programmable metasurface without DC supply by Xin Ge Zhang, Ya Lun Sun, Bingcheng Zhu, Han Wei Tian, Bo Yuan Wang, Zaichen Zhang, Cheng-Wei Qiu, Tie Jun Cui, Wei Xiang Jiang

“…Abstract Microwave-optical interaction and its effective utilization are vital technologies at the frontier of classical and quantum sciences for communication, sensing, and imaging. Typically, state-of-the-art microwave-to-optical converters are realized by fiber and circuit approaches with multiple processing steps, and external powers are necessary, which leads to many limitations. …”
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Impedance Analysis and Optimization of Self-Powered Interface Circuit for Wireless Sensor Nodes Application by Yuan Dong, Dezhi Li, Benjamin Ducharne, Xiaohui Wang, Jun Gao, Bin Zhang

“…Finally, by connecting the energy-harvesting system, power management element, and sensing part together, a self-powered wireless sensor node is accomplished. …”
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Solar Energy Modelling over a Residential Community in the City of Calgary, Alberta, Canada by Quazi K. Hassan, K. Mahmud Rahman, Anis S. Haque, Ahad Ali

“…We calculated the actual daily incident solar radiation as a function of latitude, day of year, and possible day light hours; and also employed high-resolution remote sensing images to calculate the effective roof area for installing photovoltaic cells. …”
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Deep-learning enabled generalized inverse design of multi-port radio-frequency and sub-terahertz passives and integrated circuits by Emir Ali Karahan, Zheng Liu, Aggraj Gupta, Zijian Shao, Jonathan Zhou, Uday Khankhoje, Kaushik Sengupta

“…Abstract Millimeter-wave and terahertz integrated circuits and chips are expected to serve as the backbone for future wireless networks and high resolution sensing. However, design of these integrated circuits and chips can be quite complex, requiring years of human expertise, careful tailoring of hand crafted circuit topologies and co-design with parameterized and pre-selected templates of electromagnetic structures. …”
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The Fem cell-surface signaling system is regulated by ExsA in Pseudomonas aeruginosa and affects pathogenicity by Yanqi Li, Anjali Bhagirath, Sara Badr, Pansong Zhang, Lin Chen, Maryam Dadashi, Michael G. Surette, Kangmin Duan

“…Intriguingly, the Fem system also influenced virulence factors in P. aeruginosa, including the quorum sensing systems, pyocyanin production, biofilm formation, and the type six secretion systems (T6SSs). …”
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A Feasibility Study for Microwave Breast Cancer Detection Using Contrast-Agent-Loaded Bacterial Microbots by Yifan Chen, Panagiotis Kosmas, Sylvain Martel

“…We propose a new approach to microwave breast tumor sensing and diagnosis based on the use of biocompatible flagellated magnetotactic bacteria (MTB) adapted to operate in human microvasculature. …”
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A Swarm Robotic Exploration Strategy Based on an Improved Random Walk Method by Bao Pang, Yong Song, Chengjin Zhang, Hongling Wang, Runtao Yang

“…Because of the limited individual abilities of swarm robots, namely, local sensing and low processing power, random searching is the main search strategy used in swarm robotics. …”
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An Emotioncy-Based Investigation into Students and Teachers’ Satisfaction with the Content of the Persian Language History Books by Zahra Jahani, Shima Ebrahimi, Samira Bameshki

“…Emotioncy, coined from the combination of emotion and frequency, focuses on emotions evoked by the senses from which we receive inputs, hence learning happens. …”
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Three-dimensional disordered alloy metamaterials: a new platform of structure-function integration by Xinxin Li, Liqiang Wang, Yang Lu

“…We begin by discussing the underlying principles and synthesis methods of 3D disordered alloy metamaterials, followed by a comprehensive examination of their distinctive properties and potential applications in the realms of engineering, energy harvesting, and sensing. Furthermore, we delve into the existing challenges and future directions of this burgeoning field, encompassing aspects such as scalability, precision in fabrication, and the evolution of multi-functional materials. 3D disordered alloy metamaterials represent a promising avenue for the advancement of structure-function integration, with potential implications for a broad range of scientific and technological disciplines.…”
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Urban Island Modeling for Semi-Arid Cities: The Case of the City of Oujda by Djebbour Mounir, Sbai Abdelkader

“…It highlighted the importance of geographic information systems and remote sensing in studying climate changes and revealing the importance of vegetation cover in reducing this phenomenon.…”
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On the Exploration of Adaptive Mechanisms Providing Reliability in Clustered WSNs for Power Plant Monitoring by Sathiyaseelan Rathinavel, Vijayakumar Pandi, Audithan Sivaraman

“…Wireless Sensor Networks (WSNs) are used in almost every sensing and detection environment instead of wired devices in the current world, all the more in power plant monitoring applications. …”
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Simulating Intraurban Land Use Dynamics under Multiple Scenarios Based on Fuzzy Cellular Automata: A Case Study of Jinzhou District, Dalian by Jun Yang, Weiling Liu, Yonghua Li, Xueming Li, Quansheng Ge

“…For this purpose, land use data of multiple sources and remote sensing images from 2003 to 2015 were analyzed. The following results were obtained: (1) real land use data and simulation data for 2015 were tested using four indices. …”
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Performance Analysis of a Kretschmann-Based Ag-ITO-Au Surface Plasmon Resonance Sensor through Numerical Simulations by Liang Zhang, Jian’an He, Tao Li, Xiaocong Wu, Dayong Gu, Sixiang Zhang, Ying Ye

“…The chip structure that comprised 20 nm Ag/30 nm ITO/10 nm Au yielded the best sensing performance, wherein the angular sensitivity could reach 197.6° RIU−1 and the figure of merit was 43.4 RIU−1. …”
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Intelligent phase imaging guided by physics models by Zhen LIU, Hao ZHU, You ZHOU, Zhan MA, Xun CAO

“…Implicit neural representation characterizes the mapping between the signal’s coordinate to its attributes, and has been widely used in the optimization of inverse problems by embedding the physics process into the loss function.However, the implicit neural representation is suffering the low convergence speed and accuracy from the random initialization of the network parameters.The meta-learning algorithm for providing implicit neural representation with a strong prior of network parameters was proposed, thus enhancing the optimization efficiency and accuracy for solving inverse problems.To address the important issue of lens less phase imaging, an intelligent method on phase imaging was proposed based on the snapshot lens less sensing model.By embedding the optical diffraction propagation theory into the design of loss function for implicit neural representation, the dependency of large-scale labelled dataset in traditional deep learning-based methods was eliminated and accurate phase image from a single diffraction measurement image was provided.Furthermore, the meta-learning model was introduced for initializing network to further improve the efficiency and accuracy of network training.Numerical simulation results show that the proposed method can achieve a PSNR improvement of more than 11 dB compared to the conventional method.The experimental results in real data show that the phase image reconstructed by the proposed method is clearer and has fewer artifacts.…”
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Data services and data plane for 6G mobile communication network by Xueqiang YAN, Guanjie CHENG, Shuiguang DENG, Jianjun WU, Lu LU, Mingyu ZHAO, Yan XI, Chao LIU, Weiyuan LI, Lei FENG, Tong ZHANG

“…The existing communication network represented by 5G is used as a communication session data “pipeline”for information exchange between terminal devices and the network.Different from the point-to-point transmission of communication session data, the data generated and consumed by AI, sensing and network operations in 6G network needs to be collected, preprocessed, stored, and analyzed in a distributed manner.To this end, a data plane architecture independent of the traditional user plane was proposed to systematically solve the challenges of managing and monetization of the non-user-plane data for 6G mobile communication networks.The classification and characteristics of 6G network data and data services were identified and defined.Furthermore, based on the comparative analysis of the 5G user plane and the existing data-driven network architecture, a 6G data plane framework composed of two main components i.e.data orchestrator and data agent was proposed, and the data plane functional architecture was elaborated.In addition, three potential options for data forwarding control mechanisms were designed.These mechanisms can support on-path-packet processing within any topology of data pipelines, realizing the construction and maintenance of dynamic programmable data pipeline and the thorough separation of routing algorithms and data forwarding.…”
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Dynamic QoS-aware intelligent edge computing resource management algorithm for body area networks by MU Siqi, WEN Shuo, LU Yang, AI Bo

“…However, the quality of service (QoS) requirements of the computing tasks in BAN varie with the urgency of the sensing data. The existing resource allocation methods in edge computing network are difficult to efficiently and flexibly support dynamic QoS of multi-source heterogeneous tasks in BAN. …”
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Study on Information Extraction of Water Bodyin Plain RiverNetwork Area Based on Multi-temporalGF-1 Image by LIAO Yubing, ZHOU Feng

“…In order to solve the mixture of pixels such as the towns, shadow and bare earth in the extraction of remote sensing information of water body in Plain River Network Area, based onmulti-temporal GF-1 image, this paper proposes a decision tree model combining the Normalized Differential Vegetation Index (NDVI), Normalized Differential Water Index (NDWI), and near-infrared albedo for water body information extraction, and conducts a study taking the typical plain atthe lower reaches of Yangtze and Huai River.The results show that compared with other methods including single-band threshold and Shadow Water Index (SWI), the multi-temporalspectral information in newly proposed method can effectively eliminate the mixture of pixels such as the towns, shadow and the bare earth, improve the extraction accuracy of smaller water bodies with an overall accuracy of 93% and a Kappa coefficient of 0.85,and reasonably show a spatial distribution of water surface rate with a declining trend from West to East, which could provide a reference for the information extraction of water body in other plains as well.…”
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