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Distributed Computation Offloading and Power Control for UAV-Enabled Internet of Medical Things

ACM Transactions on Internet Technology 1000年

作者： Jiakun Gao Xiaolong Xu Lianyong Qi Wanchun Dou Xiaoyu Xia Xiaokang Zhou School of Software Nanjing University of Information Science and Technology NanJing China School of Software Nanjing University of Information Science and Technology NanJing China and Jiangsu Province Engineering Research Center of Advanced Computing and Intelligent Services Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology (CICAEET) Nanjing University of Information Science and Technology Nanjing China College of Computer Science and Technology China University of Petroleum (East China) QingDao China and State Key Laboratory for Novel Software Technology Nanjing University Nanjing China State Key Laboratory for Novel Software Technology Nanjing University Nanjing China School of Computer Technology RMIT University Victoria Australia Faculty of Data Science Shiga University Hikone Japan

The advancement of the Internet of Medical Things (IoMT) has led to the emergence of various health and emotion care services, e.g., health monitoring. To cater to increasing computational requirements of IoMT services, Mobile Edge Computing (MEC) has emerged as an indispensable technology in smart health. Benefiting from the cost-effectiveness of deployment, unmanned aerial vehicles (UAVs) equipped with MEC servers in Non-Orthogonal Multiple Access (NOMA) have emerged as a promising solution for providing smart health services in proximity to medical devices (MDs). However, the escalating number of MDs and the limited availability of communication resources of UAVs give rise to a significant increase in transmission latency. Moreover, due to the limited communication range of UAVs, the geographically-distributed MDs lead to workload imbalance of UAVs, which deteriorates the service response delay. To this end, this paper proposes a UAV-enabled Distributed computation Offloading and Power control method with Multi-Agent, named DOPMA, for NOMA-based IoMT environment. Specifically, this paper introduces computation and transmission queue models to analyze the dynamic characteristics of task execution latency and energy consumption. Moreover, a credit assignment scheme-based reward function is designed considering both system-level rewards and rewards tailored to each MD, and an improved multi-agent deep deterministic policy gradient algorithm is developed to derive offloading and power control decisions independently. Extensive simulations demonstrate that the proposed method outperforms existing schemes, achieving \(7.1\%\) reduction in energy consumption and \(16\%\) decrease in average delay.

关键词： Internet of Medical Things (IoMT) Mobile Edge Computing (MEC) Unmanned Aerial Vehicles (UAV) Non-Orthogonal Multiple Access (NOMA)

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Development and application of MCAL tools for marine radar instruction

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Computer Applications in engineering Education 1995年第4期3卷 259-259页

作者： Guirguis, S. Korany, E. Abdel-Bary, A. Institute of Graduate Studies and Research Alexandria University Alexandria Egypt Shawkat K. Guirguis:obtained the BSc and M.Sc. degrees in Computer Science and Automatic Control Faculty of Engineering Alexandria University in 1981 and 1984 respectively. In 1988 he obtained a PhD degree in Electronics and Communications Faculty of Engineering Cairo University co-supervised by the Imperial College of Science and Technology University of London where he spent two years as an academic visitor. His current research interests include software quality management multimedia automatic programming and decision support systems. He is currently a lecturer of Computer Science at the Institute of Graduate Studies & Research Alexandria University. Ezzat A. Korany:received the BS degree in Electrical Engineering (Electronics Section) from the University of Alexandria Egypt in 1971 the MS degree in Electrical Engineering (Computer Section) from Ain Shams University Cairo Egypt in 1977 and the PhD degree in Electrical Engineering (Digital Systems) from Florida Institute of Technology U.S.A. in 1982. He is currently an associate professor of Computer Science at the Institute of Graduate Studies & Research University of Alexandria. His research interests are in data communications and multimedia applications computer networks image processing and pattern recognition. Abdel-Latif A. Abdel-Bary:obtained the BEng degree in Electronics Technology from Arab Maritime Transport Academy in 1986. In 1995 he obtained the MSc degree in Information Technology from the Institute of Graduate Studies & Research Alexandria University. His current research interests include ICAL hypermedia and automatic programming.

In this article a multimedia computer-assisted learning (MCAL) system is presented. The major objective of this work was to investigate the potential of using such systems as tools for transferring instructional course information through various types of computer media as opposed to the classic CAL systems. The philosophy and techniques employed to design the system are investigated. Usage of the implemented system and its merits have been illustrated through its application to teach engineering students and technicians the theory and concepts of marine radar. System design, implementation, test, and revision phases are presented and discussed.

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Secure Collaborative Learning for Self-Adaptive Systems on Connected Autonomous Vehicles

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ACM Transactions on Autonomous and Adaptive Systems 1000年

作者： Xiaotong Wu Yuwen Liu Xiaoxiao Chi Rong Jiang Xiaokang Zhou Wajid Rafique Maqbool Khan Alibaba Business School Hangzhou Normal University China College of Computer Science and Technology China University of Petroleum (East China) China Department of Computing Macquarie University Australia Yunnan Key Laboratory of Service Computing Yunnan University of Finance and Economics China Faculty of Business Data Science Kansai University Japan and RIKEN Center for Advanced Intelligence Project Japan Department of Electrical and Software Engineering University of Calgary Canada Software Competence Center Hagenberg Austria

As an advanced carrier of on-board sensors, connected autonomous vehicle (CAV) can be viewed as an aggregation of self-adaptive systems with monitor-analyze-plan-execute (MAPE) for vehicle-related services. Meanwhile, machine learning (ML) has been applied to enhance analysis and plan functions of MAPE so that self-adaptive systems have optimal adaption to changing conditions. However, most of ML-based approaches don’t utilize CAVs’ connectivity to collaboratively generate an optimal learner for MAPE, because of sensor data threatened by gradient leakage attack (GLA). In this article, we first design an intelligent architecture for MAPE-based self-adaptive systems on Web 3.0-based CAVs, in which a collaborative machine learner supports the capabilities of managing systems. Then, we observe by practical experiments that importance sampling of sparse vector technique (SVT) approaches cannot defend GLA well. Next, we propose a fine-grained SVT approach to secure the learner in MAPE-based self-adaptive systems, that uses layer and gradient sampling to select uniform and important gradients. At last, extensive experiments show that our private learner spends a slight utility cost for MAPE (e.g., \(0.77\%\) decrease in accuracy) defending GLA and outperforms the typical SVT approaches in terms of defense (increased by \(10\%\sim 14\%\) attack success rate) and utility (decreased by \(1.29\%\) accuracy loss).

关键词： collaborative learning optimal adaption vehicle application data security self-adaptive system

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A Tetrahedral Bisacridine Donor Enables Fast Radiative Decay in Thermally Activated Delayed Fluorescence Emitter

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Angewandte Chemie 2023年第13期135卷

作者： Ranran Pei Yulin Xu Dr. Jingsheng Miao Hao Peng Dr. Zhanxiang Chen Dr. Changjiang Zhou Dr. He Liu Prof. Dr. Chuluo Yang Shenzhen Key Laboratory of New Information Display and Storage Materials College of Materials Science and Engineering Shenzhen University Shenzhen 518055 P. R. China Contribution: Data curation (equal) Formal analysis (equal) Contribution: Data curation (equal) Contribution: Supervision (supporting) Contribution: Formal analysis (supporting) Contribution: Software (equal) College of Chemical Engineering Zhejiang University of Technology Hangzhou 310014 P. R. China Contribution: Conceptualization (lead) Data curation (equal) Formal analysis (lead) Funding acquisition (equal) Software (equal) Supervision (equal) Writing - original draft (lead) Writing - review & editing (equal) Contribution: Funding acquisition (equal) Resources (lead) Supervision (equal) Writing - review & editing (equal)

Achieving high efficiency and low efficiency roll-off simultaneously is of great significance for further application of thermally activated delayed fluorescent (TADF) emitters. A balance between radiative decay and reversed intersystem crossing must be carefully established. Herein, we propose a qunolino-acridine (QAc) donor composing two acridine with both planar (pAc) and bended (bAc) geometries. Combining with triazine, a TADF emitter QAc-TRZ is assembled. The pAc provides a well interaction with triazine which ensures a decent TADF behavior, while the bAc offers a delocalization of highest occupied molecular orbital (HOMO) which guarantees an enhancement of radiative decay. Remarkably, QAc-TRZ enables a highly efficient organic light emitting diode (OLED) with maximum external quantum efficiency (EQE) of 37.3 %. More importantly, the efficiencies under 100/1000 cd m −2 stay 36.3 % and 31.7 %, respectively, and remain 21.5 % even under 10 000 cd m −2 .

关键词： Bisacridine Delocalization Organic Light Emitting Diodes Thermally Activated Delayed Fluorescence

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Unsupervised Learning-Guided Accelerated Discovery of Alkaline Anion Exchange Membranes for Fuel Cells

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Angewandte Chemie 2023年第19期135卷

作者： Dr. Xiuyang Zou Guodong Xu Pengda Fang Dr. Weizheng Li Zhiyu Jin Dr. Siyu Guo Yin Hu Prof. Meisheng Li Ji Pan Prof. Zhe Sun Prof. Feng Yan Jiangsu Engineering Laboratory of Novel Functional Polymeric Materials Jiangsu Key Laboratory of Advanced Negative Carbon Technologies College of Chemistry Suzhou Key Laboratory of Soft Material and New Energy College of Chemistry Chemical Engineering and Materials Science Soochow University Suzhou 215123 China Contribution: Data curation (supporting) Contribution: Formal analysis (equal) Contribution: Formal analysis (supporting) Contribution: Validation (equal) Contribution: Methodology (supporting) School of Chemistry and Chemical Engineering Jiangsu Key Laboratory for Chemistry of Low-Dimensional Materials Huaiyin Normal University Huaian 223300 China Contribution: Software (equal) Contribution: Software (supporting) Contribution: Conceptualization (equal) Contribution: Conceptualization (lead)

Without insight into the correlation between the structure and properties, anion exchange membranes (AEMs) for fuel cells are developed usually using the empirical trial and error method or simulation methods. Here, a virtual module compound enumeration screening (V-MCES) approach, which does not require the establishment of expensive training databases and can search the chemical space containing more than 4.2×10 5 candidates was proposed. The accuracy of the V-MCES model was considerably improved when the model was combined with supervised learning for the feature selection of molecular descriptors. Techniques from V-MCES, correlating the molecular structures of the AEMs with the predicted chemical stability, generated a ranking list of potential high stability AEMs. Under the guidance of V-MCES, highly stable AEMs were synthesized. With understanding of AEM structure and performance by machine learning, AEM science may enter a new era of unprecedented levels of architectural design.

关键词： Alkaline Stability Anion Exchange Membranes Degradation Prediction Machine Learning Material Genomics

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Active Sites Decorated Nonpolar Pore-Based MOF for One-step Acquisition of C2H4and Recovery of C3H6

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Angewandte Chemie 2023年第43期135卷

作者： Dr. Gang-Ding Wang Dr. Yong-Zhi Li Dr. Wen-Juan Shi Prof. Lei Hou Prof. Yao-Yu Wang Prof. Zhonghua Zhu Key Laboratory of Synthetic and Natural Functional Molecule of the Ministry of Education College of Chemistry & Materials Science Northwest University Xi'an 710069 P. R. China Contribution: Data curation (lead) Investigation (lead) Methodology (equal) Writing - original draft (lead) Contribution: Data curation (equal) Formal analysis (equal) Writing - review & editing (supporting) Contribution: Formal analysis (equal) Software (equal) Contribution: Software (lead) Supervision (lead) Writing - review & editing (lead) Contribution: Formal analysis (equal) Resources (equal) School of Chemical Engineering The University of Queensland Brisbane 4072 Australia

Herein, a 2-fold interpenetrated metal-organic framework (MOF) Zn-BPZ-TATB with accessible N/O active sites in nonpolar pore surfaces was reported for one-step C 2 H 4 purification from C 2 H 6 or C 3 H 6 mixtures as well as recovery of C 3 H 6 from C 2 H 6 /C 3 H 6 /C 2 H 4 mixtures. The MOF exhibits the favorable C 2 H 6 and C 3 H 6 uptakes (>100 cm 3 g −1 at 298 K under 100 kPa) as well as selective adsorption of C 2 H 6 and C 3 H 6 over C 2 H 4 . The C 3 H 6 - and C 2 H 6 -selective feature were investigated detailedly by experimental tests as well as sorption kinetic studyies. Molecular modelling revealed the multiple interactions between C 3 H 6 or C 2 H 6 molecules and methyl groups as well as triazine rings in pores. Zn-BPZ-TATB not only can directly generate 323.4 L kg −1 and 15.4 L kg −1 of high-purity (≥99.9 %) C 2 H 4 from C 3 H 6 /C 2 H 4 and C 2 H 6 /C 2 H 4 mixtures, but also provide a large high-purity (≥99.5 %) C 3 H 6 recovery capacity of 60.1 L kg −1 from C 3 H 6 /C 2 H 4 mixtures. More importantly, the high-purity C 3 H 6 (≥99.5 %) and C 2 H 4 (≥99.9 %) with the productivities of 38.2 and 12.7 L kg −1 can be simultaneously obtained from C 2 H 6 /C 3 H 6 /C 2 H 4 mixtures through a single adsorption/desorption cycle.

关键词： Crystal Structure Ethylene Purification Gas Adsorption and Separation Metal–Organic Framework Microporous Materials

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Unlocking the Interfacial Adsorption-Intercalation Pseudocapacitive Storage Limit to Enabling All-Climate, High Energy/Power Density and Durable Zn-Ion Batteries

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Angewandte Chemie 2023年第27期135卷

作者： Ming Yang Dr. Yanyi Wang Dr. Dingtao Ma Jianhui Zhu Hongwei Mi Prof. Zuotai Zhang Buke Wu Prof. Lin Zeng Minfeng Chen Prof. Jizhang Chen Prof. Peixin Zhang College of Chemistry and Environmental Engineering Shenzhen University Shenzhen 518060 P. R. China Contribution: Data curation (lead) Formal analysis (lead) Investigation (equal) Methodology (equal) Writing - original draft (lead) Contribution: Data curation (supporting) Formal analysis (supporting) Investigation (supporting) Project administration (supporting) Contribution: Conceptualization (equal) Funding acquisition (equal) Project administration (supporting) Supervision (supporting) Writing - review & editing (lead) Contribution: Formal analysis (supporting) Resources (supporting) Software (supporting) Contribution: Resources (supporting) Supervision (supporting) School of Environmental Science and Engineering Southern University of Science and Technology Shenzhen 518055 China Contribution: Investigation (supporting) Resources (supporting) Department of Mechanical and Energy Engineering Southern University of Science and Technology Ministry of Education Shenzhen 518055 China Contribution: Writing - review & editing (supporting) College of Materials Science and Engineering Nanjing Forestry University Nanjing 210037 China Contribution: Data curation (supporting) Investigation (supporting) Contribution: Funding acquisition (lead) Project administration (lead) Resources (lead) Supervision (equal) Writing - review & editing (supporting)

Sluggish storage kinetics and insufficient performance are the major challenges that restrict the transition metal dichalcogenides (TMDs) applied for zinc ion storage, especially at the extreme temperature conditions. Herein, a multiscale interface structure-integrated modulation concept was presented, to unlock the omnidirectional storage kinetics-enhanced porous VSe 2− x ⋅ n H 2 O host. Theory research indicated that the co-modulation of H 2 O intercalation and selenium vacancy enables enhancing the interfacial zinc ion capture ability and decreasing the zinc ion diffusion barrier. Moreover, an interfacial adsorption-intercalation pseudocapacitive storage mechanism was uncovered. Such cathode displayed remarkable storage performance at the wide temperature range (−40–60 °C) in aqueous and solid electrolytes. In particular, it can retain a high specific capacity of 173 mAh g −1 after 5000 cycles at 10 A g −1 , as well as a high energy density of 290 Wh kg −1 and a power density of 15.8 kW kg −1 at room temperature. Unexpectedly, a remarkably energy density of 465 Wh kg −1 and power density of 21.26 kW kg −1 at 60 °C also can be achieved, as well as 258 Wh kg −1 and 10.8 kW kg −1 at −20 °C. This work realizes a conceptual breakthrough for extending the interfacial storage limit of layered TMDs to construct all-climate high-performance Zn-ion batteries.

关键词： All-Climate Interfacial Adsorption-Intercalation Pseudocapacitive Storage Multiscale Interface Structure Omnidirectional Storage Kinetics Zn-Ion Batteries

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π–π Interaction-Induced Organic Long-wavelength Room-Temperature Phosphorescence forIn VivoAtherosclerotic Plaque Imaging

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Angewandte Chemie 2023年第2期136卷

作者： Yufan Zhang Jisen Li Jiliang Zhao Xuefei Li Zhimei Wang Yicheng Huang Prof. Hongkai Zhang Prof. Qian Liu Prof. Yunxiang Lei Prof. Dan Ding Frontiers Science Center for Cell Responses State Key Laboratory of Medicinal Chemical Biology Key Laboratory of Bioactive Materials Ministry of Education College of Life Sciences Nankai University 300071 Tianjin China Contribution: Conceptualization (equal) Data curation (equal) Formal analysis (lead) Writing - original draft (lead) Contribution: Conceptualization (equal) Data curation (equal) Formal analysis (equal) Contribution: Investigation (equal) Methodology (equal) Contribution: Conceptualization (supporting) Software (equal) School of Chemistry and Materials Engineering Wenzhou University 325035 Wenzhou China Contribution: Investigation (supporting) Methodology (supporting) Contribution: Conceptualization (supporting) Data curation (supporting) Department of Urology Tianjin First Central Hospital 300192 Tianjin China Contribution: Data curation (supporting) Software (supporting) Contribution: Visualization (lead) Writing - review & editing (supporting) Contribution: Funding acquisition (lead) Writing - review & editing (lead)

Room-temperature phosphorescent (RTP) materials have great potential for in vivo imaging because they can circumvent the autofluorescence of biological tissues. In this study, a class of organic-doped long-wavelength (≈600 nm) RTP materials with benzo[c][1,2,5] thiadiazole as a guest was constructed. Both host and guest molecules have simple structures and can be directly purchased commercially at a low cost. Owing to the long phosphorescence wavelength of the doping system, it exhibited good tissue penetration (10 mm). Notably, these RTP nanoparticles were successfully used to image atherosclerotic plaques, with a signal-to-background ratio (SBR) of 44.52. This study provides a new approach for constructing inexpensive red organic phosphorescent materials and a new method for imaging cardiovascular diseases using these materials.

关键词： Atherosclerotic Plaque Imaging Benzo[c][1,2,5] Thiadiazole Guest Host-Guest Doped Systems Room Temperature Phosphorescence

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Cl2⋅−Mediates Direct and Selective Conversion of Inert C(sp3)−H Bonds into Aldehydes/Ketones

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Angewandte Chemie 2023年第36期135卷

作者： Dr. Qinhua Zhang Dr. Bo An Dr. Yu Lei Zhixiao Gao Dr. Haonan Zhang Prof. Sheng Xue Prof. Xin Jin Prof. Wengang Xu Zihan Wu Prof. Mingbo Wu Prof. Xin Yang Prof. Wenting Wu State Key Laboratory of Heavy Oil Processing Institute of New Energy College of Chemical Engineering China University of Petroleum (East China) Qingdao 266580 P. R. China Contribution: Data curation (lead) Investigation (lead) Methodology (lead) Software (lead) Writing - original draft (lead) Contribution: Data curation (supporting) Software (supporting) Guangdong Provincial Key Laboratory of Environmental Pollution Control and Remediation Technology School of Environmental Science and Engineering Sun Yat-sen University Guangzhou 510275 China Contribution: Data curation (supporting) Investigation (supporting) Contribution: Resources (supporting) Software (supporting) Contribution: Data curation (supporting) Validation (supporting) Institute for Translational Medicine The Affiliated Hospital of Qingdao University College of Medicine Qingdao University Qingdao 266021 P. R. China Contribution: Conceptualization (supporting) Resources (supporting) Contribution: Formal analysis (supporting) Resources (supporting) Contribution: Investigation (supporting) Methodology (supporting) Contribution: Data curation (supporting) Contribution: Funding acquisition (lead) Project administration (lead) Supervision (lead) Writing - review & editing (lead) Contribution: Investigation (equal) Methodology (equal) Writing - review & editing (equal) Contribution: Formal analysis (lead) Project administration (lead) Supervision (lead) Writing - review & editing (lead)

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Monitoring system of agricultural performance based on multisensor data and cross-validation technique in merging temporal images

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Agronomy Journal 2022年第1期115卷

作者： N. P. G. Bhavani Prameeladevi Chillakuru Ramana Lakshmi Adusumilli Roobaea Alroobaea Saeed Rubaiee Abdulkader S. Hanbazazah Suman Mann Saveetha School of Engineering Chennai Tamil Nadu 602105 India Contribution: Data curation Formal analysis Rajalakshmi Engineering College Chennai Tamil Nadu 602105 India Contribution: Investigation Methodology Dep. of Computer Science and Engineering Prasad V Potluri Siddhartha Institute of Technology Kanuru Vijayawada Andhra Pradesh 520007 India Contribution: Resources Software Dep. of Computer Science College of Computers and Information Technology Taif Univ. P. O. Box 11099 Taif 21944 Saudi Arabia Contribution: Funding acquisition Supervision Dep. of Industrial and Systems Engineering College of Engineering Univ. of Jeddah Jeddah Saudi Arabia Contribution: Funding acquisition Visualization Contribution: Funding acquisition Writing - original draft Writing - review & editing Maharaja Surajmal Institute of Technology New Delhi 110058 India Contribution: Conceptualization Writing - original draft

Several approaches to forecasting agricultural production have been used across the country, but they have focused on information widely detected with technology that was not very successful. Unfortunately, because of many difficulties such as climate variables (50% global fog cover) with limited temporal accuracy, the remotely detected information necessary to predict crop production was often insufficient. As a result of these problems, existing methods of estimating agricultural production are ineffective or out of date. Several efforts have been made to overcome these challenges by combining images with high temporal accuracy but poor geographic detail. On the other hand, it is this kind of situation that is most suitable for extremely large and homogeneous agricultural areas. An innovative theoretical framework has developed that explains this absence of high-quality satellite images. This intelligent method was built around this new theoretical framework, which incorporates its use of something like the energy equation to improve the predictions of multiple cultures. Many producers were contacted and data regarding agricultural production were obtained to validate the results of the smart technology. The excellent reliability of this intelligent method has been shown by a comparative contrast between projected crop yields and actual output in various areas.

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