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Cryptanalysis of a Completely Anonymous Multi-recipient Signcryption Scheme with Public Verification

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Journal of Donghua University(English Edition) 2015年第2期32卷 240-243页

作者：张波孙涛于代荣 School of Information Science and Engineering University of Jinan shandong provincial key laboratory of network based intelligent computing shandong provincial key laboratory of Software Engineering

Anonymity is a very important security objective in network ***,Pang et *** a novel multirecipient signcryption scheme with complete anonymity and claimed that the new concrete scheme was strong existential unforgeability under selective multi-ID,chosen message ***,by giving concrete attacks,named " inside attack" and " outside attack" respectively,we indicate that Pang et al.'s scheme is not secure in their security model.

关键词： recipient private claimed secure giving message signer outside secret chosen

Applications and potentials of machine learning in optoelectronic materials research:An overview and perspectives

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Chinese Physics B 2023年第12期32卷 108-128页

作者：张城洲付小倩 School of Information Science and Engineering University of JinanJinan 250022China shandong provincial key laboratory of network based intelligent computing University of JinanJinan 250022China

Optoelectronic materials are essential for today's scientific and technological development,and machine learning provides new ideas and tools for their *** this paper,we first summarize the development history of optoelectronic materials and how materials informatics drives the innovation and progress of optoelectronic materials and ***,we introduce the development of machine learning and its general process in optoelectronic materials and describe the specific implementation *** focus on the cases of machine learning in several application scenarios of optoelectronic materials and devices,including the methods related to crystal structure,properties(defects,electronic structure)research,materials and devices optimization,material characterization,and process *** summarizing the algorithms and feature representations used in different studies,it is noted that prior knowledge can improve optoelectronic materials design,research,and decision-making ***,the prospect of machine learning applications in optoelectronic materials is discussed,along with current challenges and future *** paper comprehensively describes the application value of machine learning in optoelectronic materials research and aims to provide reference and guidance for the continuous development of this field.

关键词： optoelectronic materials devices machine learning prior knowledge

An intelligent navigation experimental system based on multi-mode fusion

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Virtual Reality & intelligent Hardware 2020年第4期2卷 345-353页

作者： Rui HAN Zhiquan FENG Jinglan TIAN Xue FAN Xiaohui YANG Qingbei GUO School of Information Science and Engineering University of JinanJinan 250022China shandong provincial key laboratory of network based intelligent computing Jinan 250022China

At present,most experimental teaching systems lack guidance of an operator,and thus users often do not know what to do during an *** user load is therefore increased,and the learning efficiency of the students is *** solve the problem of insufficient system interactivity and guidance,an experimental navigation system based on multi-mode fusion is proposed in this *** system first obtains user information by sensing the hardware devices,intelligently perceives the user intention and progress of the experiment according to the information acquired,and finally carries out a multi-modal intelligent navigation process for *** an innovative aspect of this study,an intelligent multi-mode navigation system is used to guide users in conducting experiments,thereby reducing the user load and enabling the users to effectively complete their *** results prove that this system can guide users in completing their experiments,and can effectively reduce the user load during the interaction process and improve the efficiency.

关键词： Navigation interaction Chemical experiment system Multi-mode fusion

Multimodal interaction design and application in augmented reality for chemical experiment

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Virtual Reality & intelligent Hardware 2020年第4期2卷 291-304页

作者： Mengting XIAO Zhiquan FENG Xiaohui YANG Tao XU Qingbei GUO Department of Information Science and Engineering University of JinanJinan 250022China shandong provincial key laboratory of network based intelligent computing Jinan 250022China

Background Augmented reality classrooms have become an interesting research topic in the field of education,but there are some ***,most researchers use cards to operate experiments,and a large number of cards cause difficulty and inconvenience for ***,most users conduct experiments only in the visual modal,and such single-modal interaction greatly reduces the users'real sense of *** order to solve these problems,we propose the Multimodal Interaction Algorithm based on Augmented Reality(ARGEV),which is based on visual and tactile feedback in Augmented *** addition,we design a Virtual and Real Fusion Interactive Tool Suite(VRFITS)with gesture recognition and intelligent *** The ARGVE method fuses gesture,intelligent equipment,and virtual *** use a gesture recognition model trained by a convolutional neural network to recognize the gestures in AR,and to trigger a vibration feedback after a recognizing a five finger grasp *** establish a coordinate mapping relationship between real hands and the virtual model to achieve the fusion of gestures and the virtual *** The average accuracy rate of gesture recognition was 99.04%.We verify and apply VRFITS in the Augmented Reality Chemistry Lab(ARCL),and the overall operation load of ARCL is thus reduced by 29.42%,in comparison to traditional simulation virtual *** We achieve real-time fusion of the gesture,virtual model,and intelligent equipment in *** with the NOBOOK virtual simulation experiment,ARCL improves the users'real sense of operation and interaction efficiency.

关键词： Augmented reality Gesture recognition intelligent equipment Multimodal Interaction Augmented Reality Chemistry Lab

Deep-reinforcement-learning-based robot motion strategies for grabbing objects from human hands

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Virtual Reality & intelligent Hardware 2023年第5期5卷 407-421页

作者： Zeyuan CAI Zhiquan FENG Liran ZHOU Xiaohui YANG Tao XU School of Information Science and Engineering University of JinanJinan 250022China shandong provincial key laboratory of network based intelligent computing Jinan 250022China

Background Robot grasping encompasses a wide range of research areas;however, most studies have been focused on the grasping of only stationary objects in a scene;only a few studies on how to grasp objects from a user's hand have been conducted. In this paper, a robot grasping algorithm based on deep reinforcement learning (RGRL) is proposed. Methods The RGRL takes the relative positions of the robot and the object in a user's hand as input and outputs the best action of the robot in the current state. Thus, the proposed algorithm realizes the functions of autonomous path planning and grasping objects safely from the hands of users. A new method for improving the safety of human-robot cooperation is explored. To solve the problems of a low utilization rate and slow convergence of reinforcement learning algorithms, the RGRL is first trained in a simulation scene, and then, the model para-meters are applied to a real scene. To reduce the difference between the simulated and real scenes, domain randomization is applied to randomly change the positions and angles of objects in the simulated scenes at regular intervals, thereby improving the diversity of the training samples and robustness of the algorithm. Results The RGRL's effectiveness and accuracy are verified by evaluating it on both simulated and real scenes, and the results show that the RGRL can achieve an accuracy of more than 80% in both cases. Conclusions RGRL is a robot grasping algorithm that employs domain randomization and deep reinforcement learning for effective grasping in simulated and real scenes. However, it lacks flexibility in adapting to different grasping poses, prompting future research in achieving safe grasping for diverse user postures.

关键词： Robot grasping Deep reinforcement learning Domain randomization Human-to-robot handovers Human-machine collaboration

Hand gesture tracking algorithm based on visual attention

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Journal of Beijing Institute of Technology 2016年第4期25卷 491-501页

作者：冯志全徐涛吕娜唐好魁蒋彦梁丽伟 School of Information Science and Engineering University of JinanJinan 250022China shandong provincial key laboratory of network-based intelligent computing Jinan 250022China

In the majority of the interaction process, the operator often focuses on the tracked 3D hand gesture model at the ＂interaction points＂ in the collision detectionscene, such as ＂grasp＂ and ＂release＂ and objects in the scene, without paying attention to the tracked 3D hand gesture model in the total procedure. Thus in this paper, a visual attention distribution model of operator in the ＂grasp＂, ＂translation＂, ＂release＂ and other basic operation procedures is first studied and a 3D hand gesture tracking algorithm based on this distribution model is proposed. Utilizing the algorithm, in the period with a low degree of visual attention, a pre-stored 3D hand gesture animation can be used to directly visualise a 3D hand gesture model in the interactive scene; in the time period with a high degree of visual attention, an existing ＂frame-by-frame tracking＂ approach can be adopted to obtain a 3D gesture model. The results demonstrate that the proposed method can achieve real-time tracking of 3D hand gestures with an effective improvement on the efficiency, fluency, and availability of 3D hand gesture interaction.

关键词： visual attention 3D hand gesture tracking hand gesture interaction

Design of a new kind of chemical experiment container with virtual reality fusion

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Virtual Reality & intelligent Hardware 2023年第4期5卷 317-337页

作者： Lurong YANG Zhiquan FENG Junhong MENG Department of Information Science and Engineering University of JinanJinan 250022China shandong provincial key laboratory of network based intelligent computing Jinan 250022China

Background At present,the teaching of experiments in primary and secondary schools is affected by cost and security *** research on virtual experiment platforms has alleviated these ***,the lack of real experimental equipment and use of a single channel to understand user intentions weaken these platforms operationally and degrade the naturalness of *** To solve these problems,we propose an intelligent experimental container structure and a situational awareness algorithm,both of which are verified and applied to a chemical experiment involving virtual-real ***,the acquired images are denoised in the visual channel using the maximum diffuse reflection chroma to remove ***,container situational awareness is realized by segmenting the image liquid level and establishing a relation-fitting ***,strategies for constructing complete behaviors and making priority comparisons among behaviors are adopted for information complementarity and independence,respectively.A multichannel intentional understanding model and an inter-active paradigm that integrates vision,hearing,and touch are *** The experimental results show that the accuracy of the intelligent container situation awareness proposed in this paper reaches 99%,and the accuracy of the proposed intention understanding algorithm reaches 94.7%.The test shows that the intelligent experimental system based on the new interaction paradigm also has better performance and a more realistic sense of operation experience in terms of experimental *** The results indicate that the proposed experimental container and algorithm can achieve a natural level of human-computer interaction in a virtual chemical experiment platform,enhance the user′s sense of operation,and achieve high levels of user satisfaction.

关键词： Multichannel intent fusion understanding Virtual-real fusion Natural interaction Remove image highlights Nonlinear curve fitting

Reverse extraction of early-age hydration kinetic equation from observed data of Portland cement

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Science China(Technological Sciences) 2010年第6期53卷 1540-1553页

作者： WANG Lin1,YANG Bo2,ZHAO XiuYang1,2,CHEN YueHui2 & CHANG Jun3 1 School of Computer Science and Technology,shandong University,Jinan 250101,China 2 provincial key laboratory for network-based intelligent computing,University of Jinan,Jinan 250022,China 3 School of Material Science and Engineering,University of Jinan,Jinan 250022,China School of Computer Science and Technology Shandong University Jinan China provincial key laboratory for network-based intelligent computing University of Jinan Jinan China School of Material Science and Engineering University of Jinan Jinan China

The early-age hydration of Portland cement paste has an important impact on the formation of microstructure and development of ***,manual derivation of hydration kinetic equation is very difficult because there are multi-phased,multi-sized and interrelated complex chemical and physical reactions during cement *** this paper,early-age hydration kinetic equation is reversely extracted automatically from the observed time series of hydration degree of Portland cement using evolutionary computation method that combines gene expression programming and particle swarm optimization *** order to reduce the computing time,GPUs are used for acceleration in *** have shown that according to the extracted kinetic equation,simulation curve of early-age hydration is in good accordance with the observed experimental ***,this equation still has a good generalization ability even changing chemical composition,particle size and curing conditions.

关键词： Portland cement hydration kinetic equation reverse extraction gene expression programming particle swarm optimization

Temperature Uniformity of Wafer on a Large-Sized Susceptor for a Nitride Vertical MOCVD Reactor

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Chinese Physics Letters 2012年第3期29卷 52-55页

作者： LI Zhi-Ming JIANG Hai-Ying HAN Yan-Bin LI Jin-Ping YIN Jian-Qin ZHANG Jin-Cheng shandong provincial key laboratory of network-based intelligent computing School of Information Science and EngineeringUniversity of Ji’nanJi’nan 250022 key laboratory of Fundamental Science for National on Wide Band-Gap Semiconductor Technology School of MicroelectronicsXidian UniversityXi’an 710071

The effect of coil location on wafer temperature is analyzed in a vertical MOCVD reactor by induction *** is observed that the temperature distribution in the wafer with the coils under the graphite susceptor is more uniform than that with the coils around the outside wall of the *** the case of coils under the susceptor,we find that the thickness of the susceptor,the distance from the coils to the susceptor bottom and the coil turns significantly affect the temperature uniformity of the *** optimization process is executed for a 3-inch susceptor with this kind of structure,resulting in a large improvement in the temperature uniformity.A further optimization demonstrates that the new susceptor structure is also suitable for either multiple wafers or large-sized wafers approaching 6 and 8 inches.

关键词： MOCVD optimization Vertical