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Practical age estimation using deep label distribution learning

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Frontiers of Computer Science 2021年第3期15卷 75-80页

作者： Huiying ZHANG Yu ZHANG Xin GENG pujiang Institute Nanjing Tech UniversityNanjing 211200China school of Computer Science and Engineering Southeast UniversityNanjing 211189China

Age estimation plays an important role in human-computer interaction *** lack of large number of facial images with definite age label makes age estimation al-gorithms *** label distribution learning(DLDL)which employs convolutional neural networks(CNN)and label distribution learning to learn ambiguity from ground-truth age and adjacent ages,has been proven to outperform current state-of-the-art ***,DLDL assumes a rough label distribution which covers all ages for any given age *** this paper,a more practical label distribution paradigm is proposed:we limit age label distribution that only covers a reasonable number of neighboring *** addition,we explore different label distributions to improve the performance of the proposed learning *** employ CNN and the improved label distribution learning to estimate *** results show that compared to the DLDL,our method is more effective for facial age recognition.

关键词： deep learning convolutional neural networks label distribution learning facial age estimation

Faster RCNN Target Detection Algorithm Integrating CBAM and FPN

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Computer Systems Science & Engineering 2023年第11期47卷 1549-1569页

作者： Wenshun Sheng Xiongfeng Yu Jiayan Lin Xin Chen school of Computer and Communication Engineering PuJiang InstituteNanjing Tech UniversityNanjing211200China

Small targets and occluded targets will inevitably appear in the image during the shooting process due to the influence of angle,distance,complex scene,illumination intensity,and other *** targets have few effective pixels,few features,and no apparent features,which makes extracting their efficient features difficult and easily leads to false detection,missed detection,and repeated detection,affecting the performance of target detection *** improved faster region convolutional neural network(RCNN)algorithm(CF-RCNN)integrating convolutional block attention module(CBAM)and feature pyramid networks(FPN)is proposed to improve the detection and recognition accuracy of small-size objects,occluded or truncated objects in complex ***,the CBAM mechanism is integrated into the feature extraction network to improve the detection ability of occluded or truncated ***,the FPN-featured pyramid structure is introduced to obtain high-resolution and vital semantic data to enhance the detection effect of small-size *** experimental results show that the mean average precision of target detection of the improved algorithm on PASCAL VOC2012 is improved to 76.1%,which is 13.8 percentage points higher than that of the commonly used Faster RCNN and other ***,it is better than the commonly used small sample target detection algorithm.

关键词： Target detection attention mechanism CBAM FPN CF-RCNN

Pancreatic giant malignancy simulating a gastrointestinal stromal tumor

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Hepatobiliary & Pancreatic Diseases International 2024年第4期23卷 431-433页

作者： Ben-Jie Liu Chen-Hui Jin Yan-Lun Guo Zhi-Gang Ke Jun-Jun Huang Lin-Ping Cao Department of Hepatobiliary Surgery Department of General SurgeryPujiang Branch of the First Affiliated HospitalZhejiang University School of MedicineJinhua 322200China Department of Pathology Pujiang Branch of the First Affiliated HospitalZhejiang University School of MedicineJinhua 322200China Department of Hepatobiliary and Pancreatic Surgery the First Affiliated HospitalZhejiang University School of MedicineHangzhou 310003China

Pancreatic acinar cell carcinoma(PACC)is a rare malignant tumor of pancreatic epithelial cells,which produces pancreatic exocrine *** originates from acinar cells and terminal branches of the pancreatic ducts in the exocrine tissue of the *** accounts for 1%−2%of pancreatic exocrine tumors[1].Herein,we present an elderly woman with PACC who recovered after effective laparoscopic *** tumor was located on the left side of the abdomen;imaging suggested that it was a gastrointestinal stromal tumor of the gastric wall origin,infiltrating the tail of the pancreas and omentum,while postoperative pathology suggested PACC.

关键词： Pancreatic gastrointestinal pancreas

Research on will-dimension SIFT algorithms for multi-attitude face recognition

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High Technology Letters 2022年第3期28卷 280-287页

作者： SHENG Wenshun SUN Yanwen XU Liujing pujiang Institute Nanjing Tech UniversityNanjing 211200P.R.China school of Information Engineering Nanjing Audit UniversityNanjing 211815P.R.China

The results of face recognition are often inaccurate due to factors such as illumination,noise intensity,and affine/projection *** response to these problems,the scale invariant feature transformation(SIFT) is proposed,but its computational complexity and complication seriously affect the efficiency of the *** order to solve this problem,SIFT algorithm is proposed based on principal component analysis(PCA) dimensionality *** algorithm first uses PCA algorithm,which has the function of screening feature points,to filter the feature points extracted in advance by the SIFT algorithm;then the high-dimensional data is projected into the low-dimensional space to remove the redundant feature points,thereby changing the way of generating feature descriptors and finally achieving the effect of dimensionality *** this paper,through experiments on the public ORL face database,the dimension of SIFT is reduced to 20 dimensions,which improves the efficiency of face extraction;the comparison of several experimental results is completed and analyzed to verify the superiority of the improved algorithm.

关键词： face recognition scale invariant feature transformation(SIFT) dimensionality reduction principal component analysis-scale invariant feature transformation(PCA-SIFT)

Cascade degradation and electrocatalytic upcycling of waste poly(ethylene terephthalate)to valued products

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Nano Research 2025年第1期18卷 76-93页

作者： Xin Li Zirui Jiang Zongkui Kou John Wang Shiyou Zheng school of Materials and Chemistry University of Shanghai for Science and TechnologyShanghai 200093China school of Materials Science and Engineering Wuhan University of TechnologyWuhan 430070China Department of Materials Science and Engineering National University of SingaporeSingapore 117574Singapore

The global annual production of poly(ethylene terephthalate)(PET)has reached 82 million tons,yet only a small fraction(less than 20%)is *** ultra-slow degradation rate of PET results in the accumulation of PET waste in the environment,causing serious plastic pollution and posing severe challenges to *** response,great efforts have been directed toward developing a cascade degradation and electrocatalytic upcycling strategy,which serves as a“waste-towealth”*** strategy involves electro-reforming PEThydrolyzed intermediates or using PET pyrolyzed products as electrocatalysts to generate high-value *** review provides an overview of the state-of-the-art strategies for the“degradation-electrocatalytic upcycling(De-eUp)”of PET ***,an introduction to the strategy is provided,categorizing it into two main frameworks:“pyrolysis-electrocatalytic upcycling”and“hydrolysis-electrocatalytic upcycling”.The section on“pyrolysis-electrocatalytic upcycling”delves into the degradation methods for designing derived carbon nanomaterials and their utilization as high-performance ***“hydrolysis-electrocatalytic upcycling”section discusses recent advancements in electro-reforming of PET hydrolyzed intermediates for the production of C_(1) and C_(2) *** review concludes by examining the challenges and future prospects in developing an efficient and economical PET upcycling *** is anticipated that this review will stimulate further progress in plastic waste valorization.

关键词： poly(ethylene terephthalate)waste electrocatalytic upcycling pyrolysis hydrolysis ethylene glycol oxidation reaction

Thickness-dependent excitonic properties of atomically thin 2H-MoTe2

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Chinese Physics B 2020年第1期29卷 452-456页

作者： Jin-Huan Li Dan Bing Zhang-Ting Wu Guo-Qing Wu Jing Bai Ru-Xia Du Zheng-Qing Qi Department of Basic Teaching Nanjing Tech University Pujiang InstituteNanjing 211134China school of Network and Communication Engineering Jinling Institute of TechnologyNanjing 211169China Lab for Nanoelectronics and NanoDevices Department of Electronics Science and TechnologyHangzhou Dianzi UniversityHangzhou 310018China

Two-dimensional(2D)2H-MoTe2 is a promising semiconductor because of its small bandgap,strong absorption,and low thermal *** this paper,we systematically study the optical and excitonic properties of atomically thin 2H-MoTe2(1–5 layers).Due to the fact that the optical contrast and Raman spectra of 2H-MoTe2 with different thicknesses exhibit distinctly different behaviors,we establish a quantitative method by using optical images and Raman spectra to directly identify the layers of 2H-MoTe2 thin ***,excitonic states and binding energy in monolayer/bilayer 2H-MoTe2 are measured by temperature-dependent photoluminescence(PL)*** temperature T=3.3 K,we can observe an exciton emission at^1.19 eV and trion emission at^1.16 eV for monolayer *** at room temperature,the exciton emission and trion emission both disappear for their small binding *** determine the exciton binding energy to be 185 meV(179 meV),trion binding energy to be 20 meV(18 me V)for the monolayer(bilayer)*** thoroughly studies of the excitonic states in atomically thin 2H-MoTe2 will provide guidance for future practical applications.

关键词： 2H-MoTe2 photoluminescence Raman exciton and trion

High-Performance Beamformer and Low-Complexity Detector for DF-Based Full-Duplex MIMO Relaying Networks

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China Communications 2017年第2期14卷 173-182页

作者： Feng Shu Ye Zhou Riqing Chen Jin Wang Jun Li Branka Vucetic College of Computer and Information Sciences Fujian Agriculture and Forestry University Fuzhou 350002 China school of Mobile Network Nanjing Technology University Pujiang Institute Nanjing 21134 China school of Electronic and Optical Engineering Nanjing University of Science and Technology Nanjing 210094 China National Mobile Communications Research Laboratory Southeast University Nanjing 210096 China school of Electrical and Information Engineering the University of Sydney NSW Australia

In this paper, we consider a *** *** ***(MIMO) relaying network with the ***(DF) protocol. Due to the *** transmissions, the *** from the relay transmitter to the relay receiver degrades the system performance. We thus propose an iterative beamforming structure(IBS) to mitigate the ***. In this method, the receive beamforming at the relay is optimized to maximize the ***(***), while the transmit beamforming at the relay is optimized to maximize the ***(***). To further improve the performance, the receive and transmit beamforming matrices are optimized between *** and *** in an iterative manner. Furthermore, in the presence of the residual ***, a *** ***(WF) maximum likelihood(ML) detector is proposed. In this detector, a WF is designed to transform a colored *** to a white noise, while the singular value decomposition is used to convert coupled spatial subchannels to parallelindependent ones. From simulations, we find that the proposed IBS performs much better than the existing schemes. Also, the proposed *** detector significantly reduces the complexity of the conventional ML(CML) detector from exponential time(an exponential function of the number of the source transmit antennas) to polynomial one while achieving a slightly better BER performance than the CML due to interference whitening.

关键词： decoding-and-forward MIMO relay full-duplex self-interference iterative beamforming

Violin String Inspired Core-Sheath Silk/Steel Yarns for Wearable Triboelectric Nanogenerator Applications

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Advanced Fiber Materials 2020年第1期2卷 24-33页

作者： Chao Ye Quanfu Xu Jing Ren Shengjie Ling school of Physical Science and Technology ShanghaiTech University393 Middle Huaxia RoadShanghai 201210China Department of Cardiology Xinhua HospitalSchool of MedicineShanghai Jiao Tong University200092 ShanghaiChina

Triboelectric nanogenerator(TENG)has attracted considerable attention in wearable electronics and energy harvesting associated with human ***/yarn electrodes are widely applied in the wearable TENG system,which remains a challenge to guarantee mechanical ductility and stable electrical functions during long-term *** by high quality violin strings core-sheath design,silk/stainless-steel integrated yarns(SSYs)are continuously produced by simple co-wrapping spinning technique,which shows excellent mechanical strength,flexibility,conductivity,weaveability and triboelectric *** SSYs can be modified to achieve tunable surface ***,TENG cables have been fabricated,which can be stretched up to 100%and reveal a fast responsiveness to the stretching extent(voltage output of about 0.2,0.6,1.8,2.8 V at 13%,25%,38%,50%stretching,respectively).The TENG cables integrated textiles can not only harvest the energy generated by body movement but can also work as a self-supplied motion detector.

关键词： Silk Fiber Triboelectric nanogenerator Wearable energy devices

Research on the Relationship between the school-Running Characteristics of Private Colleges and Universities and the Development Objectives of the Government

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Journal of Contemporary Educational Research 2024年第9期8卷 296-302页

作者： Lishuxian Zhao Xiaoxia Wu Zhuolin Zhu Nanjing Tech University pujiang Institute Nanjing 211200Jiangsu ProvinceChina

The development objectives of the Chinese government have a guiding effect on the school-running characteristics of private colleges and *** paper explores the relationship between the characteristics of private colleges and universities and the development objectives of the provincial government,using Jiangsu Province as a case *** the schools have the consciousness of fully considering the development objectives of Jiangsu Province when formulating the school-running *** characteristics all contain some training methods,training courses,or institutional construction aiming at the development *** universities can support the government’s objectives on employment and *** a third of the schools provide government support for science *** colleges and universities should make full use of the free and flexible advantages of private education,combine them with the continuous changes of policies and markets,and create clear,scientific,and dynamic school-running characteristics,in order to achieve long-term development.

关键词： Development objectives of the government school-running characteristics Chinese Private colleges and universities