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Secure Pairing with Wearable Devices by Using Ambient Sound and Light

Wuhan University Journal of Natural Sciences 2017年第4期22卷 329-336页

作者： LIU Dong CHEN Jing DENG Qisi Arouna KONATE TIAN Zairong State Key Laboratory of Software Engineering / School ofco.puter Wuhan University Wuhan 430072 Hubei China beijing guangyude vision tech co. Ltd Beijing 100118China

Wearable devices usually work together with smart *** ensure only legitimate smart phones can read the data,they must co.duct pairing to establish a shared *** pairing methods require that the pairing devices have a keyboard or screen for user ***,due to the size limitation,keyboards or screens are hard to be installed in the wearable *** solve this problem,we propose a novel pairing method by using ambient sound and *** this new scheme,any pairing request from smart phone will trigger wearable device *** after users press the co.firm key on the device can the pairing process *** pairing devices co.lect ambient sound and light at the predetermined time and establish a shared key by using the Diffie-Hellman *** protect against potential man-in-the-middle attacks in the key establishment process,an improved interlock protoco. with sound and light co.parison is co.ducted to authenticate the *** both the sound and light co.lected by the pairing devices are similar enough,the key is ***,it is *** with current co.text based pairing methods,our scheme does not impose strict synchronization on devices to co.lect ambient co.text ***,our scheme need not co.lect and exchange co.textual information for multiple times to resist offline brute force *** experimental results and security analysis prove the effectiveness of our scheme.

关键词： device pairing co.text co.parison wearable devices

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JNeRF:An efficient heterogeneous NeRF model zoo based on Jittor

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co.putational Visual Media 2023年第2期9卷 401-404页

作者： Guo-Wei Yang Zheng-Ning Liu Dong-Yang Li Hao-Yang Peng Department of co.puter Science and technology Tsinghua UniversityBeijing 100084China Fitten tech co. Ltd.Beijing 100084China

Neural radiance fields(NeRFs)for novel-view synthesis have attracted the attention of researchers in co.puter vision and *** traditional methods using explicit expressions,NeRFs represent a scene as an implicit neural radiance *** rendering,NeRF queries the co.or density at every position in the scene through a neural *** brings a wide range of possibilities for real-world 3D reco.struction and rendering,but problems remain to be *** works have improved NeRF’s sampling technique,position enco.ing method,network structure,etc.,but these improvements are difficult to be co.bined as the different modules are not well *** works have significantly sped up the co.e GPU co.putation of NeRF,leaving the deep learning framework as a major co.putational ***,it has been suggested to replace the frameworks by pure CUDA programs,but this limits maintainability and ***,we propose JNeRF,a unified,efficient,framework-friendly NeRF model zoo based on Jittor.

关键词： neural graphics rendering

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Recent developments in regenerative ophthalmology

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Science China(Life Sciences) 2020年第10期63卷 1450-1490页

作者： Ye Shen He Shen Dongyu Guo Xinghuai Sun Yuan Sun Nan Hong Xiawei Wang Chen Xie Yuan Zhao Qin He Le Jin Yingying Wen Bo Jiang Chenying Yu Miaomiao Zhu Feng Cai Jianwu Dai Department of Ophthalmology First Affiliated HospitalCollege of MedicineZhejiang UniversityHangzhou 310027China Department of Ophthalmology&Visual Science Eye&ENT HospitalShanghai Medical CollegeFudan UniversityShanghai 200031China State Key Laboratory of Molecular Developmental Biology Institute of Genetics and Developmental BiologyChinese Academy of SciencesBeijing 100101China Key Laboratory for Nano-Bio Interface Research Division of NanobiomedicineSuzhou Institute of Nano-Tech and Nano-BionicsChinese Academy of SciencesSuzhou 215123China Academic Department Zhenjiang LeiYin Vision Regenerative Medicine Co.Ltd.Zhenjiang 212001China

Regenerative medicine(RM)is one of the most promising disciplines for advancements in modern medicine,and regenerative ophthalmology(RO)is one of the most active fields of regenerative *** review aims to provide an overview of regenerative ophthalmology,including the range of tools and materials being used,and to describe its application in ophthalmologic subspecialties,with the exception of surgical implantation of artificial tissues or organs(e.g.,co.tact lens,artificial co.nea,intraocular lens,artificial retina,and bionic eyes)due to space *** addition,current challenges and limitations of regenerative ophthalmology are discussed and future directions are highlighted.

关键词： regenerative medicine regenerative ophthalmology biomaterials stem cells tissue engineering cell/tissue therapy

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Robust RGB-D Camera and IMU Fusion-based co.perative and Relative Close-range Localization for Multiple Turtle-inspired Amphibious Spherical Robots

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Journal of Bionic Engineering 2019年第3期16卷 442-454页

作者： Huiming Xing Liwei Shi Kun Tang Shuxiang Guo Xihuan Hou Yu Liu Huikang Liu Yao Hu Key Laboratory of co.vergence Medical Engineering System and Healthcare technology the Ministry of Industry and Information Technology School of Life Science Beijing Institute of Technology Beijing 100081 China Key Laboratory of Biomimetic Robots and Systems Ministry of Education Beijing Institute of Technology Beijing 100081 China Faculty of Engineering Kagawa University 2217-20 Hayashicho Takamatsu Kagawa 761-0396 Japan

In the narrow, submarine, unstructured environment, the present localization approaches, such as GPS measurement, dead?rcckoning, aco.stic positioning, artificial landmarks-based method, are hard to be used for multiple small-scale underwater robots. Therefore, this paper proposes a novel RGB-D camera and Inertial Measurement Unit (IMU) fusion-based co.perative and relative close-range localization approach for special environments, such as underwater caves. Owing to the rotation movement with zero-radius, the co.perative localization of Multiple Turtle-inspired Amphibious Spherical Robot (MTASRs) is realized. Firstly, we present an efficient Histogram of Oriented Gradient (HOG) and co.or Names (CNs) fusion feature extracted from co.or images ofTASRs. Then, by training Support Vector Machine (SVM) classifier with this fusion feature, an automatic reco.nition method of TASRs is developed. Seco.dly, RGB-D camerabased measurement model is obtained by the depth map In order to realize the co.perative and relative close-range localization of MTASRs, the MTASRs model is established with RGB-D camera and IMU. Finally, the depth measurement in water is co.rected and the efficiency of RGB-D camera for underwater application is validated. Then experiments of our proposed localization method with three robots were co.ducted and the results verified the feasibility of the proposed method for MTASRs.

关键词： vision localization bio-inspired robots RGB-D camera histogram of oriented gradient and co.or names fusion feature co operative and Relative Localization (CRL)

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