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Joint Optimization of Trajectory and Task Offloading for Cellular-Connected Multi-UAV Mobile Edge Computing

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Chinese Journal of Electronics 2024年第3期33卷 823-832页

作者： Jingming XIA Yufeng LIU ling tan School of Artificial Intelligence Nanjing University of Information Science and Technology Engineering Research Center of Digital Forensics Ministry of Education Nanjing University of Information Science and Technology

Since the computing capacity and battery energy of unmanned aerial vehicle(UAV) are constrained,UAV as aerial user is hard to handle the high computational complexity and time-sensitive *** paper investigates a cellular-connected multi-UAV network supported by mobile edge *** UAVs carrying tasks fly from a given initial position to a termination position within a specified *** handle the large number of tasks carried by UAVs,we propose a energy cost of all UAVs based problem to determine how many tasks should be offloaded to high-altitude balloons(HABs) for computing,where UAV-HAB association,the trajectory of UAV,and calculation task splitting are jointly ***,the formulated problem has nonconvex ***,an efficient iterative algorithm by applying successive convex approximation and the block coordinate descent methods is put ***,in each iteration,the UAV-HAB association,calculation task splitting,and UAV trajectory are alternately ***,for the nonconvex UAV trajectory optimization problem,an approximate convex optimization problem is *** numerical results indicate that the scheme of this paper proposed is guaranteed to converge and also significantly reduces the entire power consumption of all UAVs compared to the benchmark schemes.

关键词： Energy consumption Multi-access edge computing Costs Power demand Autonomous aerial vehicles Iterative algorithms Convex functions

Primary lateral sclerosis:more than just an upper motor neuron disease

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Neural Regeneration Research 2024年第9期19卷 1881-1882页

作者： Ee ling tan Jasmin Lope Peter Bede Computational Neuroimaging Group(CNG) School of MedicineTrinity College DublinIreland Department of Neurology St James’s HospitalDublinIreland

Advances in clinical care and recent research achievements:Primary lateral sclerosis(PLS)has traditionally been regarded as a pure upper motor neuron condition,a view perpetuated by most medical textbooks.

关键词： sclerosis clinical traditionally

Localization and Dynamic Change of Saikosaponin in Root of Bupleurum chinense

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Journal of Integrative Plant Biology 2008年第8期50卷 951-957页

作者： ling-ling tan Xia Cai Zheng-Hai Hu Xi-Lu Ni Key Laboratory of Resource Biology and Biotechnology in West China (Northwest University) Ministry of Education Xi'an 710069 China Ningxia Forestry Institute Yinchuan 750004 China

Anatomical, histochemical and phytochemical methods were used to investigate the structure, the localization and content changes of total saikosaponin and saikosaponin-a of the roots of Bupleurum chinense DC. at different developmental stages. Results showed that saikosaponin was mainly distributed in pericycle and primary phloem in the young root; but in the mature root, it was mainly distributed in vascular cambium and secondary phloem. During the whole growth period from the pre-blossom, blossom, fruit, and fruit mature periods until the pre-withering period, it was in the fruit mature period that both the total saikosaponin content and the saikosaponin-a content reached the highest level. So the last 20 d of October was considered as the right collecting season for the drug of B. chinense. In addition, the quality of 1-year-old drug was better than that of 2-year-old drug due to its higher saikosaponin content. On the other hand, judging from the external characteristics of the drug, the one with an acerose taproot and more lateral roots was of better quality. The results offered theoretical bases for selecting medicinal material of high quality and determining the most appropriate harvesting stage and part of B. chinense.

关键词： Bupleurum chinense content dynamic change localization saikosaponin-a structure of root total saikosaponin

Automatic Detection of Aortic Dissection Based on Morphology and Deep Learning

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Computers, Materials & Continua 2020年第3期62卷 1201-1215页

作者： Yun tan ling tan Xuyu Xiang Hao tang Jiaohua Qin Wenyan Pan College of Computer Science and Information Technology Central South University of Forestry&TechnologyChangsha410114China The Second Xiangya Hospital of Central South University Changsha410011China

Aortic dissection(AD)is a kind of acute and rapidly progressing cardiovascular *** this work,we build a CTA image library with 88 CT cases,43 cases of aortic dissection and 45 cases of *** aortic dissection detection method based on CTA images is *** is extracted based on binarization and morphology opening *** deep learning networks(InceptionV3,ResNet50,and DenseNet)are applied after the preprocessing of the ***,F1-score,Matthews correlation coefficient(MCC)and other performance indexes are *** is shown that the deep learning methods have much better performance than the traditional *** among those deep learning methods,DenseNet121 can exceed other networks such as ResNet50 and InceptionV3.

关键词： Aortic dissection detection morphology DenseNet

Privacy Protection for Medical Images Based on DenseNet and Coverless Steganography

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Computers, Materials & Continua 2020年第9期64卷 1797-1817页

作者： Yun tan Jiaohua Qin Hao tang Xuyu Xiang ling tan Neal NXiong College of Computer Science and Information Technology Central South University of Forestry&TechnologyChangsha410114China The Second Xiangya Hospital of Central South University Changsha410011China Department of Mathematics and Computer Science Northeastern State UniversityTahlequah74464USA

With the development of the internet of medical things(IoMT),the privacy protection problem has become more and more *** this paper,we propose a privacy protection scheme for medical images based on DenseNet and coverless *** a given group of medical images of one patient,DenseNet is used to regroup the images based on feature similarity *** the mapping indexes can be constructed based on LBP feature and hash *** mapping the privacy information with the hash sequences,the corresponding mapped indexes of secret information will be packed together with the medical images group and released to the authorized *** user can extract the privacy information successfully with a similar method of feature analysis and index *** simulation results show good performance of *** the hiding success rate also shows good feasibility and practicability for *** the medical images are kept original without embedding and modification,the performance of crack resistance is outstanding and can keep better quality for diagnosis compared with traditional schemes with data embedding.

关键词： Privacy protection medical image coverless steganography DenseNet LBP

Application of Self-Organizing Feature Map Neural Network Based on K-means Clustering in Network Intrusion Detection

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Computers, Materials & Continua 2019年第7期61卷 275-288页

作者： ling tan Chong Li Jingming Xia Jun Cao College of Computer and Software Nanjing University of Information Science&TechnologyNanjing210044China College of Electronic and Information Nanjing University of Information Science&TechnologyNanjing210044China School of Geography Geology and the EnvironmentKeele UniversityKeeleUK

Due to the widespread use of the Internet,customer information is vulnerable to computer systems attack,which brings urgent need for the intrusion detection ***,network intrusion detection has been one of the most important technologies in network security *** accuracy of network intrusion detection has reached higher accuracy so ***,these methods have very low efficiency in network intrusion detection,even the most popular SOM neural network *** this paper,an efficient and fast network intrusion detection method was ***,the fundamental of the two different methods are introduced ***,the selforganizing feature map neural network based on K-means clustering(KSOM)algorithms was presented to improve the efficiency of network intrusion ***,the NSLKDD is used as network intrusion data set to demonstrate that the KSOM method can significantly reduce the number of clustering iteration than SOM method without substantially affecting the clustering results and the accuracy is much higher than Kmeans *** Experimental results show that our method can relatively improve the accuracy of network intrusion and significantly reduce the number of clustering iteration.

关键词： K-means clustering self-organizing feature map neural network network security intrusion detection NSL-KDD data set

Detection and Diagnosis of Small Target Breast Masses Based on Convolutional Neural Networks

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Tsinghua Science and Technology 2024年第5期29卷 1524-1539页

作者： ling tan Ying Liang Jingming Xia Hui Wu Jining Zhu School of Computer Science Nanjing University of Information Science&TechnologyNanjing 210044China School of Artificial Intelligence Nanjing University of Information Science&TechnologyNanjing 210044China

Breast mass identification is of great significance for early screening of breast cancer,while the existing detection methods have high missed and misdiagnosis rate for small *** propose a small target breast mass detection network named Residual asymmetric dilated convolution-Cross layer attention-Mean standard deviation adaptive selection-You Only Look Once(RCM-YOLO),which improves the identifiability of small masses by increasing the resolution of feature maps,adopts residual asymmetric dilated convolution to expand the receptive field and optimize the amount of parameters,and proposes the cross-layer attention that transfers the deep semantic information to the shallow layer as auxiliary information to obtain key feature *** the training process,we propose an adaptive positive sample selection algorithm to automatically select positive samples,which considers the statistical features of the intersection over union sets to ensure the validity of the training set and the detection accuracy of the *** verify the performance of our model,we used public datasets to carry out the *** results showed that the mean Average Precision(mAP)of RCM-YOLO reached 90.34%,compared with YOLOv5,the missed detection rate for small masses of RCM-YOLO was reduced to 11%,and the single detection time was reduced to 28 *** detection accuracy and speed can be effectively improved by strengthening the feature expression of small masses and the relationship between *** method can help doctors in batch screening of breast images,and significantly promote the detection rate of small masses and reduce misdiagnosis.

关键词： mammography diagnosis mass detection deep learning cross-layer attention adaptive positive sample selection

Optimization and evaluation of microencapsulated artificial diet for mass rearing the predatory ladybird Propylea japonica （Coleoptera： Coccinellidae）

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Insect Science 2015年第1期22卷 111-120页

作者： Xiao-ling tan Jing Zhao Su Wang Fan Zhang Institute of Plant and Environment Protection Beijing Academy of Agriculture and Forestry Sciences Beijing College of Plant Protection Northwest A & F University Yangling Shaanxi Weifang Institute of Science and Technology Weifang Shandong China

Artificial diet optimization is a key aspect in mass rearing of natural enemies since it influences the quality and feeding effectiveness, and thus the success of the biological control program. Here, we introduced the microencapsulation method to package liquid artificial diet for feeding of the ladybird Propyleajaponica. An orthogonal test of the quality of microencapsulated artificial diets （ADMs） was performed on key variables in production; Ca-alginate concentration, chitosan concentration and weight ratio of wall material to inner diet. We compared the development and reproduction of P. japonica fed on the ADMs under different cold-stored periods with those fed on fresh aphids and liquid artificial diets, in addition to a comparison of respiration, locomotion and predation. Our results indicated that chitosan concentration and ratio of shell to core significantly influence the quality of ADMs. The optimal recipe is 1.0% Ca-alginate, 1.6% chitosan and shell ： core = 1 ： 2. Insects reared on fresh optimized ADMs were similar to those fed on fresh prey in all developmental and reproductive characteristics except for survival ratio and female fertility. ADMs appeared more beneficial than using a liquid artificial diet, although this may decrease with the prolonging of the cold-storage period. *** fed either on fresh ADMs or fresh prey showed improved respiration and predation abilities compared to where liquid artificial diet was used. Our study indicates advantages of microencapsulation in the production of artificial diet for predatory ladybird rearing. A microencapsulated diet can directly increase the efficiency and stability of mass rearing .

关键词： alginate chitson development locomotion predation quality evaluation reproduction respiration

Intercalation Effect in NiAl-layered Double Hydroxide Nanosheets for CO2 Reduction Under Visible Light

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Chemical Research in Chinese Universities 2020年第1期36卷 127-133页

作者： KIPKORIR Peter tan ling REN Jing ZHAO Yufei SONG Yu-Fei State Key Laboratory of Chemical Resource Engineering Beijing University of Chemical TechnologyBeijing 100029P.R.China

Photocatalytic reduction of CO2(CO2PR)to valuable solar fuels is considered as a promising route to the amelioration of fossil fuel conundrum and the mitigation of greenhouse *** progress has been made to enhance CO2PR performance,the available method that can promote the selectivity of CO2PR products remains to be a *** this work,we synthesized NO3-or CO32-intercalated NiAl-layered double hydroxide(NiAl-LDH)photocatalysts and investigated the performance of CO2PR in the presence of an electron donor and a *** with Ni2Al-CO32-,Ni2Al-NO3-exhibited superior catalytic performance in the CO2PR,and the resulted selectivity of CH4 in Ni2Al-NO3-(6.1%)was 12.2 times that of Ni2Al-CO32-(0.5%)under visible light irradiation.X-Ray absorption fine structure(XAFS)result reveals a relative abundance of defects in Ni2Al-NO3-,which played as active sites and promoted charge transfer in CO2PR for the efficient CH4 evolution.

关键词： Visible light catalysis CO2 photoreduction Layered double hydroxide Intercalated anion Defect