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Jing-jing Chen, Qi-rong Mao, You-cai Qin, Shuang-qing Qian, Zhi-shen Zheng,2221808071@stmail.ujs.edu.cn,mao_qr@ujs.edu.cn,2211908026@stmail.ujs.edu.cn,2211908025@stmail.ujs.edu.cn,3160602062@stmail.ujs.edu.cn
Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 11, Pages 1535-1670 doi: 10.1631/FITEE.2000019
Keywords: 语音分离;生成因子;自动编码器;深度学习
Study on the Mechanism and Cause Mode of the Karst Collapse——Taking Tai’an-Laiwu for Example
Gao Zongjun
Strategic Study of CAE 2008, Volume 10, Issue 4, Pages 38-43
The fearful karst collapses have been produced in succession since 1970s by the exploitation of karst water in the area of Tai'an-Laiwu, Shandong province. The limestone buried by Quaternary System grows into karst caves, and karst collapse brings enormous harm to the local society and economy development. The spatio-temporal distributing characteristics of karst collapse are summed up in detail. The geological condition, artificial function and forming mechanism of karst collapse are discussed. The cause mode of the karst collapse aiming at the existing questions is discussed and the idea for karst collapse studying in the future is given at last.
Keywords: Tai’an-Laiwu karst collaps spatio-temporal distributing characteristics forming mechanism cause mode
Research progress of the cause for orange peel of aluminum alloy sheet during tensile deformation
Ma Mingtu,Yang Hongya,Wu Emei and Jin Qingsheng
Strategic Study of CAE 2014, Volume 16, Issue 1, Pages 4-13
Research progresses of forming causes for orange peel during the tensile deformation of aluminum alloy sheet are reviewed. This paper first shows the surface morphology of tensile deformation of sheets with orange peel and non orange peel,sliding zone,roughness of surface,tensile fracture morphology and nano hardness measurement results and characterization. Recent research results of electron backscattered diffraction(EBSD)using the forming causes of orange peel and the texture measurement results of orange peel and non orange peel using X-ray are further introduced. According to the mentioned results,microstructure and mechanical properties,the forming causes of orange peel are analyzed further. A series of results show the appearance of orange peel surface after tensile deformation is closely related to the texture and grain orientation caused in tensile deformation. The texture generating is closely related to inhomogeneity deformation of grain. Grain size will significantly affect the inhomogeneity deformation and the formation of texture ; coarse grain is easier to cause inhomogeneity deformation,grain rotation and texture than that of fine grain,resulting in surface orange peel forming after tensile deformation. Thus,it introduces a model of surface state of the coarse grain and fine grain after the tensile deformation. It is also suggested that the formation of orange peel should be further researched and analyzed so as to perfect the quantitative description of orange peel formation.
Keywords: orange peel forming mechanical property tension fracture nano hardness EBSD X-ray
Ding Jinlei,ChengXiaofang,Zhai Zaiteng,Zha Jun,Mao Meiqin
Strategic Study of CAE 2007, Volume 9, Issue 6, Pages 82-87
Based on the solar cell DC model and the mathematic expression of maximum power point, the equations describing short circuit current, open circuit voltage, maximum power current, voltage and filling factor varying along with the illumination intensity are deduced and calculated with two real solar cells data. The fact that short circuit current and maximum power current are proportional to the illumination intensity, and open circuit voltage and maximum power voltage are proportional to the natural logarithm of illumination intensity is certified. The relation of filling factor varying along with the illumination intensity is not a simple functional expression and effected by the solar cell model parameters is present. A simulated experiment is established to valid the theoretic analysis and calculating by Multisim.
Keywords: solar cell illumination intensity output characteristics filling factor
Analysis of the Quality of Daily DEM Generation with Geosynchronous InSAR Article
Zefa Yang, Qingjun Zhang, Xiaoli Ding, Wu Chen
Engineering 2020, Volume 6, Issue 8, Pages 913-918 doi: 10.1016/j.eng.2020.07.003
Up-to-date digital elevation model (DEM) products are essential in many fields such as hazards mitigation and urban management. Airborne and low-earth-orbit (LEO) space-borne interferometric synthetic aperture radar (InSAR) has been proven to be a valuable tool for DEM generation. However, given the limitations of cost and satellite repeat cycles, it is difficult to generate or update DEMs very frequently (e.g., on a daily basis) for a very large area (e.g., continental scale or greater). Geosynchronous synthetic aperture radar (GEOSAR) satellites fly in geostationary earth orbits, allowing them to observe the same ground area with a very short revisit time (daily or shorter). This offers great potential for the daily DEM generation that is desirable yet thus far impossible with space-borne sensors. In this work, we systematically analyze the quality of daily GEOSAR DEM. The results indicate that the accuracy of a daily GEOSAR DEM is generally much lower than what can be achieved with typical LEO synthetic aperture radar (SAR) sensors; therefore, it is important to develop techniques to mitigate the effects of errors in GEOSAR DEM generation.
Keywords: Daily digital elevation model Interferometric synthetic aperture radar Geosynchronous synthetic aperture radar Accuracy analysis
SmartPaint: a co-creative drawing system based on generative adversarial networks Special Feature on Intelligent Design
Lingyun SUN, Pei CHEN, Wei XIANG, Peng CHEN, Wei-yue GAO, Ke-jun ZHANG
Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 12, Pages 1644-1656 doi: 10.1631/FITEE.1900386
Keywords: Co-creative drawing Deep learning Image generation
Personalized topic modeling for recommending user-generated content Article
Wei ZHANG, Jia-yu ZHUANG, Xi YONG, Jian-kou LI, Wei CHEN, Zhe-min LI
Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 5, Pages 708-718 doi: 10.1631/FITEE.1500402
Keywords: User-generated content (UGC) Collaborative filtering (CF) Matrix factorization (MF) Hierarchical topic modeling
Cantonese porcelain classification and image synthesis by ensemble learning and generative adversarial network Special Feature on Intelligent Design
Steven Szu-Chi CHEN, Hui CUI, Ming-han DU, Tie-ming FU, Xiao-hong SUN, Yi JI, Henry DUH
Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 12, Pages 1632-1643 doi: 10.1631/FITEE.1900399
Keywords: Cantonese porcelain Classification Generative adversarial network Creative arts
Generative adversarial network based novelty detection usingminimized reconstruction error Article
Huan-gang WANG, Xin LI, Tao ZHANG
Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 1, Pages 116-125 doi: 10.1631/FITEE.1700786
Keywords: Generative adversarial network (GAN) Novelty detection Tennessee Eastman (TE) process
Comprehensive evaluation factor of optoelectronic properties for transparent conductive metallic mesh films Research Articles
Yilei Zhang, Jinxuan Cao, Zhengang Lu, Heyan Wang, Jiubin Tan,luzhengang@hit.edu.cn
Frontiers of Information Technology & Electronic Engineering 2021, Volume 22, Issue 11, Pages 1532-1540 doi: 10.1631/FITEE.2000690
Keywords: 金属网栅;TOPSIS法;熵权法;综合评价因子;透明导电膜
Learning Rat-Like Behavior for a Small-Scale Biomimetic Robot
Zihang Gao, Guanglu Jia, Hongzhao Xie, Qiang Huang, Toshio Fukuda, Qing Shi
Engineering 2022, Volume 17, Issue 10, Pages 232-243 doi: 10.1016/j.eng.2022.05.012
Existing biomimetic robots can perform some basic rat-like movement primitives (MPs) and simple behavior with stiff combinations of these MPs. To mimic typical rat behavior with high similarity, we propose parameterizing the behavior using a probabilistic model and movement characteristics. First, an analysis of fifteen 10min video sequences revealed that an actual rat has six typical behaviors in the open
field, and each kind of behavior contains different bio-inspired combinations of eight MPs. We used the softmax classifier to obtain the behavior-movement hierarchical probability model. Secondly, we specified the MPs using movement parameters that are static and dynamic. We obtained the predominant values of the static and dynamic movement parameters using hierarchical clustering and fuzzy C-means
clustering, respectively. These predominant parameters were used for fitting the rat spinal joint trajectory using a second-order Fourier series, and the joint trajectory was generalized using a back propagation neural network with two hidden layers. Finally, the hierarchical probability model and the generalized joint trajectory were mapped to the robot as control policy and commands, respectively. We implemented the six typical behaviors on the robot, and the results show high similarity when compared with the behaviors of actual rats.
Keywords: Biomimetic Bio-inspired robot Neural network learning system Behavior generation
Xu Yongjiang,Zang Kun,Liu Xuezhou,Shi Bao and Chen Shengyi
Strategic Study of CAE 2015, Volume 17, Issue 1, Pages 67-73
The mature peptide domain of insulin-like growth factor-I from Platichthys stellatus were amplified with specific primers based on its cDNA sequence. Then the matured peptide fragment was subcloned into the prokaryotic expression vector pET-28a to successfully construct IGF-I/pET-28a recombinant plasmid which were highly expressed in E.coli BL21(DE3) after being induced by IPTG with special fusion polypeptides containing His6 at their N-terminus. The obtained IGF-I polypeptide expressed in form of inclusion bodies with molecular weight of 12.1 kD and maximally accounted for 39.8 % of the whole bacterial protein post 3 h induction with 0.5 mmol/L IPTG at 37 ℃. Western blotting analysis indicated fusion polypeptides had the antigenicity to His6 antibody. The inclusion bodies were denaturalized using 6 mol/L guanidine HCl, purified using Ni-NTA affinity chromatography and annealed by gradient dialysis in urea, then purified proteins with molecular weight of 12.1 kD which was obtained from IGF-I recombinant bacterium. The proliferation experiment showed recombinant IGF-I protein could significantly promote the proliferation of human embryonic kidney cells HEK293T at 0.6 μg/mL and inhibit the proliferation with 1.8 μg/mL which verified its biological activity. Therefore, the IGF-I prokaryotic expression system was successfully constructed in the present study and biologically active IGF-I fusion protein was obtained. The present results would be helpful for better understanding the roles of IGF-I in growth regulation and development of high effective additive for growth promotion of Platichthys stellatus.
Keywords: Platichthys stellatus; insulin-like growth factor-I; prokaryotic expression; bioactivity
Surprising Advances in Generative Artificial Intelligence Prompt Amazement—and Worries
Dana Mackenzie
Engineering 2023, Volume 25, Issue 6, Pages 9-11 doi: 10.1016/j.eng.2023.04.004
A-STC: auction-based spanning tree coverage algorithm formotion planning of cooperative robots Research Article
Guan-qiang GAO, Bin XIN
Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 1, Pages 18-31 doi: 10.1631/FITEE.1800551
The multi-robot coverage motion planning (MCMP) problem in which every reachable area must be covered is common in multi-robot systems. To deal with the MCMP problem, we propose an efficient, complete, and off-line algorithm, named the “auction-based spanning tree coverage (A-STC)” algorithm. First, the configuration space is divided into mega cells whose size is twice the minimum coverage range of a robot. Based on connection relationships among mega cells, a graph structure can be obtained. A robot that circumnavigates a spanning tree of the graph can generate a coverage trajectory. Then, the proposed algorithm adopts an auction mechanism to construct one spanning tree for each robot. In this mechanism, an auctioneer robot chooses a suitable vertex of the graph as an auction item from neighboring vertexes of its spanning tree by heuristic rules. A bidder robot submits a proper bid to the auctioneer according to the auction vertexes’ relationships with the spanning tree of the robot and the estimated length of its trajectory. The estimated length is calculated based on vertexes and edges in the spanning tree. The bidder with the highest bid is selected as a winner to reduce the makespan of the coverage task. After auction processes, acceptable coverage trajectories can be planned rapidly. Computational experiments validate the effectiveness of the proposed MCMP algorithm and the method for estimating trajectory lengths. The proposed algorithm is also compared with the state-of-the-art algorithms. The comparative results show that the A-STC algorithm has apparent advantages in terms of the running time and the makespan for large crowded configuration spaces.
Keywords: Coverage motion planning Multi-robot system Auction algorithm Spanning tree coverage algorithm
Wu Xiaojie,Liu Xia,Tao Yueping,Wang Jie
Strategic Study of CAE 2015, Volume 17, Issue 6, Pages 4-7
Objective: To study the effect of levonorgestrel Intrauterine System on insulin-like growth factor-l (IGF-1) and the result of levonorgestrel Intrauterine System Prevention pelvic inflammatory disease. Methods: The 450 cases of hysteroscopic resection for endometrial polyps divided to study group(198 cases) who were placed levonorgestrel Intrauterine System in uterus after hysteroscopic electroresection, and control group(252 cases) who were not placted at random. The IGF-1 expression of endometrial biopsy specimens during intraoperative and rechected after 6 months were check out by immunohis to chemistry. Patients were followed up for 2Syears to analyse the effluence of pelvic inflammatory disease. Results: All patients had successful surgery. Intraoperative specimens compared with afteroperation specimens of the IGF-1 expression, there was a significant differencesSin study group but control group. Followed up for 2 years, 14 cases has pelvic inflammatory disease in study group,39 cases has pelvic inflammatory disease in control group,there was a significant differences. The thickness of endometrium after operation is lower than before operation in study group but control group. Conclusions:It may be the mainSmechanism of Prevention pelvic inflammatory disease and inhibition endometrium that Levonorgestrel intrauterine system can prevent endometrial IGF-1 expression.
Keywords: levonorgestrel Intrauterine system insulin-like growth factor-1 pelvic inflammatory disease
Title Author Date Type Operation
Latent source-specific generative factor learning for monaural speech separation using weighted-factor autoencoder
Jing-jing Chen, Qi-rong Mao, You-cai Qin, Shuang-qing Qian, Zhi-shen Zheng,2221808071@stmail.ujs.edu.cn,mao_qr@ujs.edu.cn,2211908026@stmail.ujs.edu.cn,2211908025@stmail.ujs.edu.cn,3160602062@stmail.ujs.edu.cn
Journal Article
Study on the Mechanism and Cause Mode of the Karst Collapse——Taking Tai’an-Laiwu for Example
Gao Zongjun
Journal Article
Research progress of the cause for orange peel of aluminum alloy sheet during tensile deformation
Ma Mingtu,Yang Hongya,Wu Emei and Jin Qingsheng
Journal Article
Theoretical analysis and calculation for filling factor of solar cellvarying along with illumination intensity
Ding Jinlei,ChengXiaofang,Zhai Zaiteng,Zha Jun,Mao Meiqin
Journal Article
Analysis of the Quality of Daily DEM Generation with Geosynchronous InSAR
Zefa Yang, Qingjun Zhang, Xiaoli Ding, Wu Chen
Journal Article
SmartPaint: a co-creative drawing system based on generative adversarial networks
Lingyun SUN, Pei CHEN, Wei XIANG, Peng CHEN, Wei-yue GAO, Ke-jun ZHANG
Journal Article
Personalized topic modeling for recommending user-generated content
Wei ZHANG, Jia-yu ZHUANG, Xi YONG, Jian-kou LI, Wei CHEN, Zhe-min LI
Journal Article
Cantonese porcelain classification and image synthesis by ensemble learning and generative adversarial network
Steven Szu-Chi CHEN, Hui CUI, Ming-han DU, Tie-ming FU, Xiao-hong SUN, Yi JI, Henry DUH
Journal Article
Generative adversarial network based novelty detection usingminimized reconstruction error
Huan-gang WANG, Xin LI, Tao ZHANG
Journal Article
Comprehensive evaluation factor of optoelectronic properties for transparent conductive metallic mesh films
Yilei Zhang, Jinxuan Cao, Zhengang Lu, Heyan Wang, Jiubin Tan,luzhengang@hit.edu.cn
Journal Article
Learning Rat-Like Behavior for a Small-Scale Biomimetic Robot
Zihang Gao, Guanglu Jia, Hongzhao Xie, Qiang Huang, Toshio Fukuda, Qing Shi
Journal Article
Prokaryotic expression and bioactivity analysis of growth hormone and insulin-like growth factor-I from Platichthys stellatus
Xu Yongjiang,Zang Kun,Liu Xuezhou,Shi Bao and Chen Shengyi
Journal Article
Surprising Advances in Generative Artificial Intelligence Prompt Amazement—and Worries
Dana Mackenzie
Journal Article
A-STC: auction-based spanning tree coverage algorithm formotion planning of cooperative robots
Guan-qiang GAO, Bin XIN
Journal Article