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Improved Weighted Local Contrast Method for Infrared Small Target Detection

Journal of Beijing Institute of technology 2024年第1期33卷 19-27页

作者： Pengge Ma Jiangnan Wang Dongdong Pang Tao Shan Junling Sun Qiuchun Jin School of Intelligent Engineering Zhengzhou University of AeronauticsZhengzhou 450000China Beijing Key Laboratory of Fractional Signals and Systems School of Information and ElectronicsBeijing Institute of TechnologyBeijing 100081China

In order to address the problem of high false alarm rate and low probabilities of infrared small target detection in complex low-altitude background,an infrared small target detection method based on improved weighted local contrast is proposed in this ***,the ratio information between the target and local background is utilized as an enhancement *** local contrast is calculated by incorporating the heterogeneity between the target and local ***,a local product weighted method is designed based on the spatial dissimilarity between target and background to further enhance target while suppressing ***,the location of target is obtained by adaptive threshold *** experimental results demonstrate,the method shows superior performance in several evaluation metrics compared with six existing algorithms on different datasets containing targets such as unmanned aerial vehicles(UAV).

关键词： infrared small target unmanned aerial vehicles(UAV) local contrast target detection

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Uncertainty propagation in the internet of things

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Discover Internet of Things 2024年第1期4卷 1-20页

作者： Pal, Shantanu Khalifa, Sara Miller, Dimity Dedeoglu, Volkan Dorri, Ali Ramachandran, Gowri Moghadam, Peyman Kusy, Brano Jurdak, Raja The School of Information Technology Faculty of Science Engineering and Built Environment Deakin University MelbourneVIC 3125 Australia The School of Information Systems Faculty of Science Queensland University of Technology BrisbaneQLD4000 Australia The School of Electrical Engineering and Robotics Faculty of Engineering Queensland University of Technology BrisbaneQLD4000 Australia The Distributed Sensing Systems Group Data61 CSIRO PullenvaleQLD 4069 Australia The School of Computer Science Faculty of Science Queensland University of Technology BrisbaneQLD 4000 Australia The CSIRO Robotics Data61 CSIRO PullenvaleQLD 4069 Australia

The Internet of Things (IoT) detects context through sensors capturing data from dynamic physical environments, in order to inform automation decisions within cyber physical systems (CPS). Diverse types of uncertainty in the IoT pipeline can propagate within and across nodes, involving complex interactions with security, privacy, and trust that remain largely unexplored. This paper conducts an in-depth analysis of the types of uncertainties in IoT and how they propagate within IoT nodes and networks. We consider adversarial uncertainty in the context of distributed IoT networks to capture perturbations due to malicious actors in the network that can influence IoT security, privacy and trust. We examine the propagation of adversarial uncertainty and well-known uncertainty types, namely aleatoric and epistemic uncertainty, within the five distinct stages of sensing, communication, storage, processing and decision-making in an IoT pipeline, across network layer boundaries, and across nodes within an IoT network. Using this mapping, we analyse the interactions between the uncertainty types and their propagation, and security, privacy, and trust in IoT. Based on this analysis, we discuss guidelines and considerations for mitigating uncertainty in IoT through a smart grid use case study. © The Author(s) 2024.

关键词： Differential privacy

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Machine Learning based Crop Yield Prediction in Agriculture: A Survey in Vellore

Machine Learning based Crop Yield Prediction in Agriculture:...

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2023 Innovations in Power and Advanced Computing Technologies, i-PACT 2023

作者： Durai Raj Vincent, P.M. Elavarasan, Dhivya School of Computer Science Engineering and Information Systems Vellore Institute of Technology Vellore India

ISBN: (纸本)9798350325188

Agriculture is the backbone of any country as it feeds its population. Since the global population keeps increasing, it is necessary to give utmost importance to the field of agriculture. State-of-the-art techniques should be introduced to boost agricultural production multifold. On the other hand, machine learning brings new life to the computing field, which would solve many complex problems in every other field. Machine learning in agriculture based crop yield prediction is the focus of this paper, where significant works are to be explored in this work to understand the commendable outcomes. For this survey, the research articles that have been published in the last five years where vellore a southern Indian district based works are selected and the various aspects of the underlying research and its applications are listed as the outcome of this for the benefit of future budding researchers who would be working in this field of agriculture. © 2023 IEEE.

关键词： climatic conditions crop yield prediction Machine Learning rainfall data Reinforcement Learning

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Monolayer MoS_(2)-based transistors with low contact resistance by inserting ultrathin Al_(2)O_(3)interfacial layer

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science China(Technological sciences) 2023年第6期66卷 1831-1840页

作者： CHEN Gang LIN Xin LIU Yuan WANG Fang HU Kai SHAN Xin WU ZeYu ZHANG YuPeng NIE WeiCan ZHONG JiXiang REN TianLing ZHANG KaiLiang Tianjin Key Laboratory of Film Electronic&Communication Devices School of Integrated Circuit Science and EngineeringTianjin University of TechnologyTianjin 300384China School of Materials Science and Engineering Tianjin University of TechnologyTianjin 300384China Tianjin Key Laboratory of Composite and Functional Materials Key Laboratory of Advanced Ceramics and Machining Technology(Ministry of Education)School of Materials Science and EngineeringTianjin UniversityTianjin 300072China School of Integrated Circuits Beijing National Research Center for Information Science and Technology(BNRist)Tsinghua UniversityBeijing 100084China

Transition metal dichalcogenides(TMDCs)are promising high performance electronic materials due to their interesting semiconductor ***,it is acknowledged that the effective electrical contact between TMDCs-layered materials and metals remains one of the major *** this work,the homogeneous monolayer MoS_(2)films with high crystalline quality were prepared by chemical vapor deposition method on SiO2/Si *** back-gate field-effect transistors(FETs)were fabricated by inserting an ultrathin Al_(2)O_(3)interlayer between the metal electrodes and MoS_(2)*** the addition of an ultrathin 0.8 nm Al_(2)O_(3)interlayer,the contact resistance decreased dramatically from 59.9 to 1.3 kΩμm and the Schottky barrier height(SBH)dropped from 102 to 27 meV compared with devices without the Al_(2)O_(3)*** the same time,the switching ratio increased from~106to~108,and both the on-current and field-effect mobility were greatly *** find that the ultrathin Al_(2)O_(3)interlayer can not only reduce the SBH to alleviate the Fermi level pinning phenomenon at the interface,but also protect the channel materials from the influence of air and moisture as a covering *** addition,the lattice and band structures of Al_(2)O_(3)/MoS_(2)film were calculated and analyzed by first-principles *** is found that the total density of states of the Al_(2)O_(3)/MoS_(2)film exhibits interfacial polarized metals property,which proves the higher carrier transport *** with Al_(2)O_(3)interlayers have excellent stability and repeatability,which can provide effective references for future low power and high performance electronic devices.

关键词： MoS_(2) Schottky barrier height contact resistance Al_(2)O_(3)interlayer first-principles calculation

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Deep Learning for Covert Communication

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China Communications 2024年第9期21卷 40-59页

作者： Shen Weiguo Chen Jiepeng Zheng Shilian Zhang Luxin Pei Zhangbin Lu Weidang Yang Xiaoniu Innovation Studio of Academician Yang National Key Laboratory of Electromagnetic Space SecurityJiaxing 314033China College of Information Engineering Zhejiang University of TechnologyHangzhou 310023China School of Information Science and Technology Fudan UniversityShanghai 200438China

In recent years,deep learning has been gradually used in communication physical layer receivers and has achieved excellent *** this paper,we employ deep learning to establish covert communication systems,enabling the transmission of signals through high-power signals present in the prevailing environment while maintaining covertness,and propose a convolutional neural network(CNN)based model for covert communication receivers,namely Deep *** model leverages CNN to execute the signal separation and recovery tasks commonly performed by traditional *** enables the direct recovery of covert information from the received *** simulation results show that the proposed Deep CCR exhibits significant advantages in bit error rate(BER)compared to traditional receivers in the face of noise and multipath *** verify the covert performance of the covert method proposed in this paper using the maximum-minimum eigenvalue ratio-based method and the frequency domain entropy-based *** results indicate that this method has excellent covert *** also evaluate the mutual influence between covert signals and opportunity signals,indicating that using opportunity signals as cover can cause certain performance losses to covert *** the interference-tosignal power ratio(ISR)is large,the impact of covert signals on opportunity signals is minimal.

关键词： convolutional neural network covert communication deep learning

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Effect of radical scavenger on electrical tree in cross-linked polyethylene with large harmonic superimposed DC voltage

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High Voltage 2023年第4期8卷 739-748页

作者： Lewei Zhu Zhonglei Li Kai Hou Maritime College Tianjin Key Laboratory for Control Theory and Applications in Complicated Industry SystemsTianjin University of TechnologyTianjinChina Key Laboratory of Smart Grid of Ministry of Education School of Electrical and Information EngineeringTianjin UniversityTianjinChina

In this study,three kinds of radical scavenger Chimassorb 944,Tinuvin 622,and Tinuvin 770 are used to suppress the growth of electrical trees in cross-linked polyethylene(XLPE)with transient superimposed voltage under the temperature *** tree morphology,tree length,accumulated damage,and time to breakdown are used to investigate the effect of radical scavenger on the electrical treeing *** is found that under the temperature gradient caused by the temperature rise on the high voltage side,only Tinuvin 622 can always suppress the electrical tree as the temperature gradient *** the temperature gradient caused by the temperature rise on the ground side,the three radical scavengers can all suppress the electrical *** breakdown of electrical tree exhibits the strong DC polarity ***,energy levels of these three radical scavengers are calculated through quantum chemistry,and the results indicate that radical scavengers have greater electron affinity,smaller ionisation energy,and smaller energy gap than *** to the surface potential decay test results at 60℃,it is found that all three radical scavengers can introduce deep *** different performances of radical scavengers under different temperature gradients and voltages are determined by the trap distribution characteristics,the molecular structure and chemical reaction of the additives *** is concluded that Tinuvin 622 has potential for use in high voltage direct current XLPE cable application.

关键词： radical electrical harmonic

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Temperature characterizations of silica asymmetric Mach–Zehnder interferometer chip for quantum key distribution

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Chinese Physics B 2023年第1期32卷 183-189页

作者：吴丹李骁王亮亮张家顺陈巍王玥王红杰李建光尹小杰吴远大安俊明宋泽国 State Key Laboratory on Integrated Optoelectronics Institute of SemiconductorsChinese Academy of Sciences College of Materials Science and Opto-Electronic Technology University of Chinese Academy of Sciences Laboratory of Quantum Information CASUniversity of Science and Technology of China Center of Materials Science and Optoelectronics Engineering University of Chinese Academy of Sciences Wuxi Institute of Interconnect Technology Co.Ltd.

Quantum key distribution(QKD)system based on passive silica planar lightwave circuit(PLC)asymmetric Mach–Zehnder interferometers(AMZI)is characterized with thermal stability,low loss and sufficient integration ***,waveguide stresses,both intrinsic and temperature-induced stresses,have significant impacts on the stable operation of the *** have designed silica AMZI chips of 400 ps delay,with bend waveguides length equalized for both long and short arms to balance the stresses *** temperature characteristics of the silica PLC AMZI chip are *** interference visibility at the single photon level is kept higher than 95%over a wide temperature range of 12℃.The delay time change is 0.321 ps within a temperature change of 40℃.The spectral shift is 0.0011 nm/0.1℃.Temperature-induced delay time and peak wavelength variations do not affect the interference *** experiment results demonstrate the advantage of being tolerant to chip temperature fluctuations.

关键词： quantum key distribution planar lightwave circuit temperature characterization interference visibility

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MorphCubes: Adaptive Modular Robots for Dynamic Remote Human Embodiment

MorphCubes: Adaptive Modular Robots for Dynamic Remote Human...

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2025 CHI Conference on Human Factors in Computing systems, CHI EA 2025

作者： Shima, Yukitaka Takashima, Kazuki College of Systems Engineering and Science Department of Electronic Information Systems Shibaura Institute of Technology Saitama Japan

ISBN: (纸本)9798400713958

This study proposes MorphCubes, a robotic telepresence system that metamorphoses modular furniture arranged in the local environment into coordinated modular robots, enabling the physical representation of a human-scale embodiment of a remote user. Each robotic module replicates the remote user’s body parts and movements, such as arm gestures and head rotations, through its physical locomotions and adapted dynamic projection mappings. This facilitates richer non-verbal communication involving a full-body physical presence as if the remote user physically presents locally. Leveraging the modularity of the robots, the system offers sufficient flexibility in the body expressions and cost-efficiency as they revert to their original furniture rolls after the telepresence session ends. In this late-breaking work, we discuss the design and implementation of our proof-concept prototype system with three modular robots and show its potential and flexibility through representative application scenarios, including hybrid meetings, remote tactile communication, and collaborative work. © 2025 Copyright held by the owner/author(s).

关键词： Modular robots

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Correlation between multi-factor phase diagrams and complex electrocaloric behaviors in PNZST antiferroelectric ceramic system

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Journal of Advanced Ceramics 2023年第3期12卷 463-473页

作者： Junjie Li Ruowei Yin Jianting Li Xiaopo Su Yanjing Su Lijie Qiao Yang Baia Beijing Advanced Innovation Center for Materials Genome Engineering Institute for Advanced Materials and TechnologyUniversity of Science and Technology BeijingBeijing 100083China Sichuan Province Key Laboratory of Information Materials and Devices Application College of Optoelectronic EngineeringChengdu University of Information TechnologyChengdu 610225China Faculty of Mechanical Engineering Qilu University of Technology(Shandong Academy of Sciences)Jinan 250353China

Ferroelectric(FE)phase transition with a large polarization change benefits to generate large electrocaloric(EC)effect for solid-sate and zero-carbon cooling ***,most EC studies only focus on the single-physical factor associated phase ***,we initiated a comprehensive discussion on phase transition in Pb_(0.99)Nb_(0.02)[(Zr_(0.6)Sn_(0.4))1−xTix]_(0.98)O_(3)(PNZST100x)antiferroelectric(AFE)ceramic system under the joint action of multi-physical factors,including composition,temperature,and electric *** to low energy barrier and enhanced zero-field entropy,the multi-phase coexistence point(x=0.12)in the composition–temperature phase diagram yields a large positive EC peak of maximum temperature change(ΔT_(max))=2.44 K(at 40 kV/cm).Moreover,the electric field–temperature phase diagrams for four representative ceramics provide a more explicit guidance for EC evolution *** the positive EC peaks near various phase transition temperatures,giant positive EC effects are also brought out by the electric field-induced phase transition from tetragonal AFE(AFET)to low-temperature rhombohedral FE(FER),which is reflected by a positive-slope boundary in the electric field–temperature phase diagram,while significant negative EC responses are generated by the phase transition from AFET to high-temperature multi-cell cubic paraelectric(PEMCC)with a negative-slope phase *** work emphasizes the importance of phase diagram covering multi-physical factors for high-performance EC material design.

关键词： antiferroelectric(AFE) electrocaloric(EC)effect phase diagram phase transition

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Proportional Fairness Based Energy Efficient Routing in Wireless Sensor Network

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Computer systems science & engineering 2022年第6期41卷 1071-1082页

作者： Abolfazl Mehbodniya Surbhi Bhatia Arwa Mashat Mohanraj Elangovan Sudhakar Sengan Department of Electronics and Communications Engineering Kuwait College of Science and TechnologyKuwait Department of Information Systems College of Computer Sciences and Information TechnologyKing Faisal UniversitySaudi Arabia Department of Information Systems College of Computing and Information TechnologyKing Abdulaziz UniversityRabighSaudi Arabia Department of Computer Science and Engineering K.S.Rangasamy College of TechnologyTiruchengode637215Tamil NaduIndia Department of Computer Science and Engineering PSN College of Engineering and TechnologyTirunelveli627152Tamil NaduIndia

Wireless Sensor Network (WSN) is an independent device that comprises a discrete collection of Sensor Nodes (SN) to sense environmental positions,device monitoring, and collection of information. Due to limited energy resourcesavailable at SN, the primary issue is to present an energy-efficient framework andconserve the energy while constructing a route path along with each sensor ***, many energy-efficient techniques focused drastically on energy harvesting and reduced energy consumption but failed to support energy-efficient routingwith minimal energy consumption in WSN. This paper presents an energy-efficientrouting system called Energy-aware Proportional Fairness Multi-user Routing(EPFMR) framework in WSN. EPFMR is deployed in the WSN environment usingthe instance time. The request time sent for the route discovery is the foremost stepdesigned in the EPFMR framework to reduce the energy consumption rate. Theproportional fairness routing in WSN selects the best route path for the packet flowbased on the relationship between the periods of requests between different *** path discovered for packet flow also measure energy on multi-user route pathusing the Greedy Instance Fair Method (GIFM). The GIFM in EPFMR developsnode dependent energy-efficient localized route path, improving the *** energy-aware framework maximizes the throughput rate and performs experimental evaluation on factors such as energy consumption rate during routing,Throughput, RST, node density and average energy per packet in WSN. The RouteSearching Time (RST) is reduced using the Boltzmann Distribution (BD), and as aresult, the energy is minimized on multi-user WSN. Finally, GIFM applies aninstance time difference-based route searching on WSN to attain an optimal energyminimization system. Experimental analysis shows that the EPFMR framework canreduce the RST by 23.47% and improve the throughput by 6.79% compared withthe state-of-the-art works.

关键词： Wireless sensor network proportional fairness multi-user routing energy consumption greedy instance fair Boltzmann distribution

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