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Ultra-transparent β-Ga2O3:Cr3+ glass-ceramics enabling high-efficiency true-transmission near-infrared light-emitting diodes

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Journal of Advanced Ceramics 2025年第5期14卷

作者： Zhang, Shaoan Long, Yi Zhang, Penghui Fang, Zaijin Li, Zhenzhang Ye, Huacong Zheng, Guojun Jia, Hong Qiu, Jianrong Li, Yang Institute of Light+X Science and Technology Faculty of Electrical Engineering and Computer Science Ningbo University Ningbo315211 China Guangdong Provincial Key Laboratory of Optical Fiber Sensing and Communications Institute of Photonics Technology Jinan University Guangzhou511443 China College of Mathematics and Systems Science Guangdong Polytechnic Normal University Guangzhou510665 China College of Physics and Electronic Information Henan Key Laboratory of Electromagnetic Transformation and Detection Luoyang Normal University Luoyang471934 China State Key Lab of Modern Optical Instrumentation College of Optical Science and Engineering Zhejiang University Hangzhou310027 China School of Biomedical Engineering Guangzhou Medical University Guangzhou510006 China

Near-infrared phosphor-converted light-emitting diodes (NIR pc-LEDs), one of the most promising NIR light sources, have garnered significant attention owing to their compact structure, long lifetime and energy conservation. Despite these advantages, commercial NIR pc-LEDs employing pseudotransmission configurations, where the NIR phosphor and silicone composites are directly coated on blue LED chips, suffer from critical limitations in thermal management that severely deteriorate their NIR output performance. To address these intrinsic limitations, we developed an oxygen-coordination-competitive crystallization strategy to engineer high-transparency β-Ga2O3:Cr3+ glass-ceramics (GC). This strategy leveraged the strong oxygen affinity of Ga3+ ions, which drove the directional migration and recombination of Ga3+ and O2- ions within the isolated [GaO4] tetrahedral network during thermal processing. This controlled phase evolution enabled localized crystallization of the β-Ga2O3:Cr3+ nanocrystals while maintaining high transparency. The optimized β-Ga2O3:Cr3+ GC (0.4 mm thickness) achieved remarkable 81.2% NIR transmittance, approaching internal quantum efficiency (IQE ≈ 100%) and high thermal stability (89%@423 K). When this high-transparency β-Ga2O3:Cr3+ GC was employed as the NIR conversion material, the NIR GC-converted LEDs (GCc-LEDs) achieved 568 mW of NIR output power at a 500 mA drive current with a photoelectric conversion efficiency of 13%. The demonstrated performance metrics of NIR GCc-LEDs positioned this technology as an ideal NIR illumination source for next-generation point-of-care diagnostics, intelligent night vision systems, and nondestructive testing applications. © The Author(s) 2025.

关键词： Glass ceramics

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Quick convergence algorithm of ACO based on convergence grads expectation

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International Journal of High Performance Computing and Networking 2018年第3期11卷 191-198页

作者： Yang, Zhongming Qin, Yong Jia, Yunfu College of Computer Engineering Technical Guangdong Institute of Science and Technology ZhuhaiGuangdong China College of Computer Science Dongguan University of Technology Dongguan Guangdong China Department of Information Technology Zhuhai Technician College ZhuhaiGuangdong China

While the ant colony optimisation (ACO) can find the optimal path through a network, there are too many iterations and the convergence speed is also very slow. This paper proposes the Q-ACO QoSR based on convergence expectation to meet the requirement of OoS routing for a real-time and highly efficient network. This algorithm defines index expectation function of link, and proposes convergence expectation and convergence grads. As for the multi-constraint QoS routing model, the algorithm controls the iteration and searches the optimal path that meets the QoS restriction condition under the condition of the faster convergence. This algorithm can find the optimal path by comparing the convergence grads in a faster and larger probability. This algorithm improves the ability of routing and convergence speed. Copyright © 2018 Inderscience Enterprises Ltd.

关键词： Ant colony optimization

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A Robust Reversible Watermarking scheme using DC prediction and histogram shifting

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Signal Processing 2026年 238卷

作者： Jiancheng Xiao Shuaichao Wu Bingwen Feng Jilian Zhang Bing Chen Zhihua Xia Wei Lu College of Cyber Security Jinan University Guangzhou 510632 China School of Cyber Security Guangdong Polytechnic Normal University Guangzhou 510665 China Engineering Research Center of Trustworthy AI Ministry of Education Guangzhou 510632 China School of Computer Science and Engineering Ministry of Education Key Laboratory of Information Technology Guangdong Province Key Laboratory of Information Security Technology Sun Yat-sen University Guangzhou 510006 China

Robust Reversible Watermarking (RRW) not only ensures the resilience of watermarked images under various attacks but also enables the exact recovery of the original host images from these watermarked versions. However, many existing RRW methods suffer from compromised reversibility when subjected to attacks, preventing successful restoration of the host image. In this paper, we explore the dual robustness of RRW—simultaneously enhancing both watermark resilience and reversibility. We propose a JPEG compression-resistant histogram-shifting algorithm that withstands targeted compression and exhibits strong robustness against common image manipulations. Building on this algorithm, we introduce two RRW schemes: one embeds watermark bits into the AC coefficients, and the other embeds them into the prediction error of DC coefficients. Furthermore, we design a convolutional neural network (CNN)-based DC predictor to infer DC coefficients from AC coefficients. Experimental results demonstrate that our approach achieves superior robustness and watermarked image quality, while reliably preserving reversibility under various distortions.

关键词： Robust Reversible Watermarking JPEG compression Histogram shifting Robust reversibility Prediction error expansion

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Emerging contaminants:A One Health perspective

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The Innovation 2024年第4期5卷 140-170,139页

作者： Fang Wang Leilei Xiang Kelvin Sze-Yin Leung Martin Elsner Ying Zhang Yuming Guo Bo Pan Hongwen Sun Taicheng An Guangguo Ying Bryan WBrooks Deyi Hou Damian EHelbling Jianqiang Sun Hao Qiu Timothy MVogel Wei Zhang Yanzheng Gao Myrna JSimpson Yi Luo Scott XChang Guanyong Su Bryan MWong Tzung-May Fu Dong Zhu Karl JJobst Chengjun Ge Frederic Coulon Jean Damascene Harindintwali Xiankui Zeng Haijun Wang Yuhao Fu Zhong Wei Rainer Lohmann Changer Chen Yang Song Concepcion Sanchez-Cid Yu Wang Ali El-Naggar Yiming Yao Yanran Huang Japhet Cheuk-Fung Law Chenggang Gu Huizhong Shen Yanpeng Gao Chao Qin Hao Li Tong Zhang Natàlia Corcoll Min Liu Daniel SAlessi Hui Li Kristian KBrandt Yolanda Pico Cheng Gu Jianhua Guo Jianqiang Su Philippe Corvini Mao Ye Teresa Rocha-Santos Huan He Yi Yang Meiping Tong Weina Zhang Fidèle Suanon Ferdi Brahushi Zhenyu Wang Syed AHashsham Marko Virta Qingbin Yuan Gaofei Jiang Louis A.Tremblay Qingwei Bu Jichun Wu Willie Peijnenburg Edward Topp Xinde Cao Xin Jiang Minghui Zheng Taolin Zhang Yongming Luo Lizhong Zhu Xiangdong Li DamiàBarceló Jianmin Chen Baoshan Xing Wulf Amelung Zongwei Cai Ravi Naidu Qirong Shen Janusz Pawliszyn Yong-guan Zhu Andreas Schaeffer Matthias C.Rillig Fengchang Wu Gang Yu James M.Tiedje State Key Laboratory of Soil and Sustainable Agriculture Institute of Soil ScienceChinese Academy of SciencesNanjing 210008China University of Chinese Academy of Sciences Beijing 100049China Department of Chemistry Hong Kong Baptist UniversityHong KongChina HKBU Institute of Research and Continuing Education Shenzhen Virtual University ParkShenzhenChina Technical University of Munich TUM School of Natural SciencesInstitute of Hydrochemistry85748 GarchingGermany School of Resources&Environment Northeast Agricultural UniversityHarbin 150030China Climate Air Quality Research UnitSchool of Public Health and Preventive MedicineMonash UniversityMelbourneVICAustralia Faculty of Environmental Science&Engineering Kunming University of Science&TechnologyKunming 650500China Ministry of Education Key Laboratory of Pollution Processes and Environmental Criteria College of Environmental Science and EngineeringNankai UniversityTianjin 300350China Guangdong Key Laboratory of Environmental Catalysis and Health Risk Control School of Environmental Science and EngineeringInstitute of Environmental Health and Pollution ControlGuangdong University of TechnologyGuangzhou 510006China Ministry of Education Key Laboratory of Environmental Theoretical Chemistry South China Normal UniversityGuangzhouGuangdong 510006China Department of Environmental Science Baylor UniversityWacoTXUSA Center for Reservoir and Aquatic Systems Research(CRASR) Baylor UniversityWacoTXUSA School of Environment Tsinghua UniversityBeijing 100084China School of Civil and Environmental Engineering Cornell UniversityIthacaNY 14853USA Key Laboratory of Microbial Technology for Industrial Pollution Control of Zhejiang Province Zhejiang University of TechnologyHangzhou 310014China School of Environmental Science and Engineering Shanghai Jiao Tong UniversityShanghai 200240China Laboratoire d’Ecologie Microbienne Universite Claude Bernard Lyon 1UMR CNRS 5557UMR INRAE 1418VetAgro Sup69622 VilleurbanneFrance Department of Pla

Environmental pollution is escalating due to rapid global development that often prioritizes human needs over planetary *** global efforts to mitigate legacy pollutants,the continuous introduction of new substances remains a major threat to both people and the *** response,global initiatives are focusing on risk assessment and regulation of emerging contaminants,as demonstrated by the ongoing efforts to establish the UN’s Intergovernmental science-Policy Panel on Chemicals,Waste,and Pollution *** review identifies the sources and impacts of emerging contaminants on planetary health,emphasizing the importance of adopting a One Health *** for monitoring and addressing these pollutants are discussed,underscoring the need for robust and socially equitable environmental policies at both regional and international *** actions are needed to transition toward sustainable pollution management practices to safeguard our planet for future generations.

关键词： pollution planet contaminants

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An Improved BAT algorithm for solving job scheduling problems in hotels and restaurants

arXiv

引用

arXiv 2021年

作者： Rashid, Tarik A. Shekho Toghramchi, Chra I. Sindi, Heja Alsadoon, Abeer Bacanin, Nebojsa Umar, Shahla U. Shamsaldin, A.S. Mohammadi, Mokhtar Department of Computer Science and Engineering University of Kurdistan of Hewler KRG Erbil Iraq Business and Management School of Management and Economics University of Kurdistan Hewlêr KRG Erbil Iraq Charles Sturt University SydneyNSW Australia Singidunum University Belgrade Serbia Technical College of Informatics Sulaimani Polytechnic University KRG Sulaimani Iraq Network Department College of Computer Science and Information Technology Kirkuk University Kirkuk Iraq Department of Information Technology Lebanese French University KRG Erbil44001 Iraq

One popular example of metaheuristic algorithms from the swarm intelligence family is the Bat algorithm (BA). The algorithm was first presented in 2010 by Yang and quickly demonstrated its efficiency in comparison with other common algorithms. The BA is based on echolocation in bats. The BA uses automatic zooming to strike a balance between exploration and exploitation by imitating the deviations of the bat's pulse emission rate and loudness as it searches for prey. The BA maintains solution diversity using the frequency-tuning technique. In this way, the BA can quickly and efficiently switch from exploration to exploitation. Therefore, it becomes an efficient optimizer for any application when a quick solution is needed. In this paper, an improvement on the original BA has been made to speed up convergence and make the method more practical for large applications. To conduct a comprehensive comparative analysis between the original BA, the modified BA proposed in this paper, and other state-of-the-art bio-inspired metaheuristics, the performance of both approaches is evaluated on a standard set of 23 (unimodal, multimodal, and fixed-dimension multimodal) benchmark functions. Afterward, the modified BA was applied to solve a real-world job scheduling problem in hotels and restaurants. Based on the achieved performance metrics, the proposed MBA establishes better global search ability and convergence than the original BA and other approaches. © 2021, CC BY-NC-ND.

关键词： Scheduling

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Scientific Workflow Scheduling in Mobile Edge Computing Based on a Discrete Butterfly Optimization Algorithm

Research Square

引用

Research Square 2021年

作者： Lansky, Jan Mohammadi, Mokhtar Mohammed, Adil Hussein Taher Karim, Sarkhel H. Rashidi, Shima Rahmani, Amir Masoud Hosseinzadeh, Mehdi Department of Computer Science and Mathematics Faculty of Economic Studies University of Finance and Administration Prague Czech Republic Department of Information Technology Lebanese French University Kurdistan Region Erbil Iraq Department of Communication and computer engineering Cihan university-Erbil Kurdistan Region Erbil Iraq Computer Department College of Science University of Halabja Halabja Iraq Sulaimani Polytechnic University Technical College of Informatics Computer Networks Department Sulaymaniyah Iraq Department of Computer Science University of Human Development Sulaymaniyah Iraq Future Technology Research Center National Yunlin University of Science and Technology 123 University Road Section 3 Douliou Yunlin64002 Taiwan Department of computer science Khazar University Baku Azerbaijan Institute of Research and Development Duy Tan University Da Nang550000 Viet Nam Mental Health Research Center Psychosocial Health Research Institute Iran University of Medical Sciences Tehran Iran

Mobile Edge Computing (MEC) is an interesting technology aimed at providing various processing and storage resources at the edge of the Internet of things (IoT) networks. However, MECs contain limited resources, and they should be managed effectively to improve resource utilization. Workflow scheduling is a process that tries to map the workflow tasks to the most proper set of computing resources regarding some objectives. For this purpose, this paper presents DBOA, a discrete version of the Butterfly Optimization Algorithm (BOA) that applies the Levy flight to improve its convergence speed and prevent the local optima problem. Then, DBOA is applied for DVFS-based data-intensive workflow scheduling and data placement in MEC environments. This scheme also employs the HEFT algorithm's task prioritization method to find the task execution order in the scientific workflows. For evaluating the performance of the proposed scheduling scheme, extensive simulations are conducted on various well-known scientific workflows with different sizes. The obtained experimental results indicate that this method can outperform other algorithms regarding energy consumption, data access overheads, etc. © 2021, CC BY.

关键词： Optimization

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Research on Image Super-resolution Reconstruction Based on Deep Learning

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Journal of Physics: Conference Series 2021年第4期1802卷

作者： Yaobin Zhang Zhiheng Zhang Tingle Li Computer science and engineering South China University of Technology Guangzhou Guangdong 510006 Department of Electrical Engineering Shandong University of Science and Technology Jinan Shandong 250031 College of computer science and technology Tianjin Polytechnic University Tianjin 300387

Image super-resolution processing technology refers to the technology of reconstructing high-resolution images by using low-resolution images with mutual displacement of multiple frames of the same scene. At present, image super-resolution processing technology is widely used in image reconstruction in various fields, such as: medical images, remote sensing images, robot vision, etc. In recent years, deep learning has also been widely used in various fields, especially in computer vision and speech processing. Since image super-resolution reconstruction the method of deep learning is introduced into the technology. Due to the good performance advantages of the deep learning method, it has become an important method for the research of image superresolution reconstruction technology. In this paper, the current status of domestic and foreign research on image super-resolution reconstruction is first simplified. Then, the theory of deep learning was explained, mainly the artificial neural network theory, the related theory of super-resolution reconstruction based on deep learning, and the method of image super-resolution reconstruction based on deep learning.

关键词：

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IoT Security Approach Based Random Distribution of Communication Frequency

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MethodsX 2025年

作者： Manga Tonga V Joseph Salomon Mpoh Lobe Henri Pascal Will MALONG Yannick Maka Maka Ebenezer Ihonock Eyembe Luc Essiben Dikoundou Jean-François Paul-Marie Moulema Douala Yong Suk Joe Laboratory of Electrical Electronics Automation and Telecommunication National Higher polytechnic school of Douala University of Douala P.O. Box 8580 Douala Cameroon Laboratory of computer Science Data Science and Artificial Intelligence National Higher polytechnic school of Douala University of Douala P.O. Box 8580 Douala Cameroon Laboratory of Technology and Applied Sciences University Institute of Technology of Douala University of Douala P.O. Box 7236 Douala Cameroon of Electrical Engineering Advanced Teachers ‘Training College for Technical Education P.O. BOX. 1872 Douala Cameroon Department of Computer Science and Information Technology Western New England University College of Arts & Sciences 1215 Wilbraham Road Springfield MA 01119 USA Department of Physics and Astronomy Ball State University Muncie IN 47306 USA

IoT is a technology that can be found everywhere in our daily lives. The bulk of Internet of Things (IoT) technologies relies on wireless transmissions; however, these are often subjected to security threats such as communication intercepts. The aims of this paper is to address these threats by suggesting a method based on a random distribution of communication frequencies. The proposed approach was tested using LoRa technology within an experimental testbed. The validation results show that randomly changing communication frequencies introduce a processing delay of less than one second during transmission and reception. Furthermore, the experiments showed that the proposed strategy enhances coexistence with other LoRa devices. The performance achieved is promising for secure and efficient data transmission applications. The concentrate on the vulnerabilities that arise in the network of IoT systems at the physical layer We propose a method to close this security gap by using a random allocation of communication frequency between LoRa cards. The results show that the coexistence between IoT is possible and the random allocation of communication frequencies introduced less than a second in transmission and reception of packets.

关键词： IoT Security Physical Layer Random Distribution Frequency

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Impact of land use and land cover changes on carbon storage in rubber dominated tropical Xishuangbanna,South West China

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Ecosystem Health and Sustainability 2021年第1期7卷 121-134页

作者： Chaya Sarathchandra Yirga Alemu Abebe Fiona Ruth Worthy Iresha Lakmali Wijerathne Huaixia Ma Bi Yingfeng Guo Jiayu Huafang Chen Qiaoshun Yan Yanfei Geng Dayani SWeragoda Li-Li Li Yang Fengchun Sriyani Wickramasinghe Jianchu Xu State Key Laboratory of Urban and Regional Ecology Research Center for Eco-Environmental SciencesChinese Academy of SciencesBeijing 100085China CAS Key Laboratory for Plant Diversity and Biogeography of East Asia Kunming Institute of BotanyChinese Academy of SciencesKunming 650201YunnanChina University of Chinese Academy of Sciences Beijing 100049China Department of Biological Science Faculty of Applied SciencesRajarata University of Sri LankaMihintale Sri Lanka State Key Laboratory of Super Lattices and Microstructures Institute of SemiconductorsChinese Academy of SciencesBeijing China Department of Electrical and computer engineering Faculty of Electrical EngineeringInstitute of TechnologyHawassa UniversityHawassaEthiopia World Agroforestry Centre(ICRAF) East and Central Asia Regional OfficeKunming YunnanChina Ailaoshan Station for Subtropical Forest Ecosystem Studies Chinese Academy of SciencesJingdongYunnan College of Tea Science Guizhou UniversityGuiyang China Carbon Consulting Company Colombo Sri Lanka Center for Integrative Conservation Xishuangbanna Tropical Botanical GardenChinese Academy of SciencesMenglaYunnanChina Yibin Vocational and Technical College YibinSichuanChina School of Chinese Medicinal Material Resources Guangdong Pharmaceutical UniversityChina

Land use and land cover(LULC)play a significant role in carbon ***-China accounts for~65%of China’s carbon *** Xishuangbanna(South-China),rubber is expanding rapidly creating an urgent need to understand and monitor LULC change and how spatial variation affects carbon storage(CS).This is vital for the formation and implementation of better land use management *** studied LULC changes of 22-year period;addressing how these changes have affected the *** quantified LULC changes between1988 and 2010 using remote sensing methods and calculated CS changes using *** showed that between 1988 and 2010,the rate of deforestation accelerated to 203.2 km^(2)y^(−1)and~23%of forest were *** of natural forest to rubber was responsible for 78%of this *** expansion rate was 153.4 km^(2)y^(−1).Changes to LULC drove a temporal CS reduction 0.223 Tg C/km^(2).Local stakeholders have strong economic interest in converting land to more profitable *** efforts is required to control land conversion through new policies and incentives to retain natural *** of specific potential land use change will be required to avoid promoting the conversion of high carbon storage land uses to low carbon storage land uses.

关键词： Carbon storage deforestation economic plantations ecosystem services land cover changes land use

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Nonreciprocal transport in a bilayer of MnBi2Te4 and Pt

arXiv

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arXiv 2022年

作者： Ye, Chen Xie, Xiangnan Lv, Wenxing Huang, Ke Yang, Allen Jian Jiang, Sicong Liu, Xue Zhu, Dapeng Qiu, Xuepeng Tong, Mingyu Zhou, Tong Hsu, Chuang-Han Chang, Guoqing Lin, Hsin Li, Peisen Yang, Kesong Wang, Zhenyu Jiang, Tian Wang, Xiao Renshaw Division of Physics and Applied Physics School of Physical and Mathematical Sciences Nanyang Technological University 21 Nanyang Link 637371 Singapore State Key Laboratory of High Performance Computing College of Computer Science and Technology National University of Defense Technology Changsha410073 China Physics Laboratory Industrial Training Center Shenzhen Polytechnic Guangdong Shenzhen518055 China Department of NanoEngineering Program of Chemical Engineering University of California La Jolla San DiegoCA92093-0448 United States Program of Materials Science and Engineering University of California La Jolla San DiegoCA92093-0418 United States Institutes of Physical Science and Information Technology Anhui University Hefei230601 China Fert Beijing Institute MIIT Key Laboratory of Spintronics School of Integrated Circuit Science and Engineering Beihang University Beijing100191 China Beihang-Goertek Joint Microelectronics Institute Qingdao Research Institute Beihang University Qingdao266000 China Shanghai Key Laboratory of Special Artificial Microstructure Materials and Technology School of Physics Science and Engineering Tongji University Shanghai200092 China College of Advanced Interdisciplinary Studies National University of Defense Technology Changsha410073 China Insitute of Physics Academia Sinica Taipei115229 Taiwan College of Intelligence Science and Technology National University of Defense Technology Changsha410073 China National Innovation Institute of Defense Technology Academy of Military Sciences PLA China Beijing100010 China Beijing Academy of Quantum Information Sciences Beijing100084 China Beijing Institute for Advanced Study National University of Defense Technology Changsha410073 China School of Electrical and Electronic Engineering Nanyang Technological University 50 Nanyang Ave 639798 Singapore

MnBi2Te4 (MBT) is the first intrinsic magnetic topological insulator with the interaction of spin-momentum locked surface electrons and intrinsic magnetism, and it exhibits novel magnetic and topological phenomena. Recent studies suggested that the interaction of electrons and magnetism can be affected by the Mn-doped Bi2Te3 phase at the surface due to inevitable structural defects. Here we report an observation of nonreciprocal transport, i.e. current-direction-dependent resistance, in a bilayer composed of antiferromagnetic MBT and nonmagnetic Pt. The emergence of the nonreciprocal response below the Néel temperature confirms a correlation between nonreciprocity and intrinsic magnetism in the surface state of MBT. The angular dependence of the nonreciprocal transport indicates that nonreciprocal response originates from the asymmetry scattering of electrons at the surface of MBT mediated by magnon. Our work provides an insight into nonreciprocity arising from the correlation between magnetism and Dirac surface electrons in intrinsic magnetic topological insulators. © 2022, CC BY.

关键词： Magnetism

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