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第33届中国过程控制会议

作者： Jing Cui Yumei Li Miaomiao Ma School of Control & Computer Engineering North China Electric Power University State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources North China Electric Power University

This paper proposes an optimal control strategy based on economic model predictive control(EMPC) for the load frequency control(LFC) problem of multi-area interconnected power system considering wind *** dynamics model of multi-area interconnected power system with wind power is introduced,which considers the state constraints and the control input *** proposed method takes economic performance indices into account that include LFC,fuel loss cost,and wind generation *** evaluate the performance of the proposed EMPC controller,the simulation studies are compared with traditional *** results and analysis show the effectiveness of the proposed method in terms of system frequency regulation and economic performance.

关键词： Economic model predictive control wind power load frequency control multi-area power system

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Development and application of a detection platform for colorectal cancer tumor sprouting pathological characteristics based on artificial intelligence

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Intelligent Medicine 2022年第2期2卷 82-87页

作者： Jiaqi Lu Ruiqing Liu Yuejuan Zhang Xianxiang Zhang Longbo Zheng Chao Zhang Kaiming Zhang Shuai Li Yun Lu Department of Gastrointestinal Surgery Affiliated Hospital of Qingdao UniversityQingdaoShandong 266055China Department of Pathology Affiliated Hospital of Qingdao UniversityQingdaoShandong 266003China State Key Laboratory of Virtual Reality Technology and System Beihang UniversityBeijing 100191China Shandong Provincial Key Laboratory of Digital Medicine and Computer Assisted Surgery QingdaoShandong 266003China Research Institute of Digital Medicine and Computer Aided Surgery Qingdao UniversityQingdaoShandong 266000China

Objective Tumor sprouting can reflect independent risk factors for tumor malignancy and a poor clinical ***,there are significant differences and difficulties associated with manually identifying tumor *** study used the Faster region convolutional neural network(RCNN)model to build a colorectal cancer tumor sprouting artificial intelligence recognition framework based on pathological sections to automatically identify the budding area to assist in the clinical diagnosis and treatment of colorectal *** We retrospectively collected 100 surgical pathological sections of colorectal cancer from January 2019 to October *** pathologists used LabelImg software to identify tumor buds and to count their ***,1,000 images were screened,and the total number of tumor buds was approximately 3,226;the images were randomly divided into a training set and a test set at a ratio of 6:*** the images in the training set were manually identified,the identified buds in the 600 images were used to train the Faster RCNN identification *** the establishment of the artificial intelligence identification detection platform,400 images in the test set were used to test the identification detection system to identify and predict the area and number of tumor ***,by comparing the results of the Faster RCNN system and the identification information of pathologists,the performance of the artificial intelligence automatic detection platform was evaluated to determine the area and number of tumor sprouting in the pathological sections of the colorectal cancers to achieve an auxiliary diagnosis and to suggest appropriate *** selected performance indicators include accuracy,precision,specificity,***(receiver operator characteristic)and AUC(area under the curve)were used to quantify the performance of the system to automatically identify tumor budding areas and *** The AUC of the receiver operating charac

关键词： Artificial intelligence Tumor budding Colorectal cancer Pathological section

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A 915MHz $19\mu \mathrm{W}$ Blocker-Enhanced Wake-Up Receiver with Frequency-Hopping Two-Tone Modulation Achieving 53dB Tolerance to In-Band Interference

A 915MHz $19\mu \mathrm{W}$ Blocker-Enhanced Wake-Up Receive...

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IEEE Symposium on Radio Frequency Integrated Circuits (RFIC)

作者： Heyu Ren Dawei Ye Binbin Chen Xu Jin Wenjun Gong Rongjin Xu C.-J. Richard Shi State Key Laboratory of ASIC and System Fudan University China Institute of Brain-inspired Circuits and Systems (iBiCAS) Fudan University China Department of Electrical and Computer Engineering University of Washington USA

ISBN: (数字)9781665496117

ISBN: (纸本)9781665496124

A 915MHz ultra-low-power blocker-enhanced wake- up receiver (BE-WuRx) is presented in a 65nm CMOS process. Employing the proposed frequency-hopping two-tone modulation (FH-TTM), the BE-WuRx can dynamically convert the in-band blocker power to data power, and achieves a −63.6dBm sensitivity without blocker and a −90dBm enhanced sensitivity with a −25dBm CW interferer, while just consuming $\mathbf{19}\mathbf{\mu}\mathbf{W}$ . With the −63.6dBm sensitivity, the BE-WuRx performs 53dB tolerance to the in-band blocker, exhibiting 14dB improvement compared to the case that FH- TTM is off. The wake-up latency is 6.4ms for a quiet channel and 6.4 to 64ms for a congested channel.

关键词： Sensitivity Frequency modulation Amplitude shift keying Receivers Interference Frequency conversion CMOS process

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Distributed Nash Equilibrium Seeking for Aggregative Games with Mismatched Disturbances

Distributed Nash Equilibrium Seeking for Aggregative Games w...

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第34届中国控制与决策会议

作者： Qi Wang Feng Xiao Bo Wei State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources North China Electric Power University School of Control and Computer Engineering North China Electric Power University

In this paper,we focus on the distributed Nash equilibrium seeking problem for aggregative games for players described by double-integrator *** player in the game is subject to unknown mismatched time-varying *** solve the Nash equilibrium seeking problem with mismatched disturbances,a distributed Nash equilibrium seeking algorithm is *** aggregative games,the proposed algorithm guarantees the convergence of strategies of players to the Nash equilibrium of aggregative games and suppresses the influence of mismatched disturbances.

关键词： aggregative games double-integrator mismatched disturbance Nash equilibrium seeking

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FAVER: Blind Quality Prediction of Variable Frame Rate Videos

arXiv

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arXiv 2022年

作者： Zheng, Qi Tu, Zhengzhong Madhusudana, Pavan C. Zeng, Xiaoyang Bovik, Alan C. Fan, Yibo State Key Laboratory of ASIC & System College of Microelectronics Fudan University Shanghai200000 China Department of Electrical and Computer Engineering The University of Texas at Austin AustinTX78712 United States

Video quality assessment (VQA) remains an important and challenging problem that affects many applications at the widest scales. Recent advances in mobile devices and cloud computing techniques have made it possible to capture, process, and share high resolution, high frame rate (HFR) videos across the Internet nearly instantaneously. Being able to monitor and control the quality of these streamed videos can enable the delivery of more enjoyable content and perceptually optimized rate control. Accordingly, there is a pressing need to develop VQA models that can be deployed at enormous scales. While some recent effects have been applied to full-reference (FR) analysis of variable frame rate and HFR video quality, the development of no-reference (NR) VQA algorithms targeting frame rate variations has been little studied. Here, we propose a first-of-a-kind blind VQA model for evaluating HFR videos, which we dub the Framerate-Aware Video Evaluator w/o Reference (FAVER). FAVER uses extended models of spatial natural scene statistics that encompass space-time wavelet-decomposed video signals, to conduct efficient frame rate sensitive quality prediction. Our extensive experiments on several HFR video quality datasets show that FAVER outperforms other blind VQA algorithms at a reasonable computational cost. To facilitate reproducible research and public evaluation, an implementation of FAVER is being made freely available online: https://***/uniqzheng/ HFR-BVQA. © 2022, CC BY-NC-ND.

关键词： Bandpass filters

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Language-Queried Target Sound Extraction Without Parallel Training Data

arXiv

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arXiv 2024年

作者： Ma, Hao Peng, Zhiyuan Li, Xu Li, Yukai Shao, Mingjie Kong, Qiuqiang Liu, Ju School of Information Science and Engineering Shandong University Qingdao China Department of Computer Science North Carolina State University NC United States ARC Lab Tencent PCG China Key Laboratory of System and Control AMSS Chinese Academy of Sciences Beijing China The Chinese University of Hong Kong Hong Kong

Language-queried target sound extraction (TSE) aims to extract specific sounds from mixtures based on language queries. Traditional fully-supervised training schemes require extensively annotated parallel audio-text data, which are labor-intensive. We introduce a parallel-data-free training scheme, requiring only unlabelled audio clips for TSE model training by utilizing the contrastive language-audio pre-trained model (CLAP). In a vanilla parallel-data-free training stage, target audio is encoded using the pre-trained CLAP audio encoder to form a condition embedding, while during testing, user language queries are encoded by CLAP text encoder as the condition embedding. This vanilla approach assumes perfect alignment between text and audio embeddings, which is unrealistic. Two major challenges arise from training-testing mismatch: the persistent modality gap between text and audio and the risk of overfitting due to the exposure of rich acoustic details in target audio embedding during training. To address this, we propose a retrieval-augmented strategy. Specifically, we create an embedding cache using audio captions generated by a large language model (LLM). During training, target audio embeddings retrieve text embeddings from this cache to use as condition embeddings, ensuring consistent modalities between training and testing and eliminating information leakage. Extensive experiment results show that our retrieval-augmented approach achieves consistent and notable performance improvements over existing state-of-the-art with better generalizability. © 2024, CC BY.

关键词： Information leakage

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A Direction Vector-Guided Multi-Objective Evolutionary Algorithm for Variable Linkages Problems

SSRN

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SSRN 2023年

作者： Gu, Qinghua Zhang, Shaopeng Wang, Qian Xiong, Neal N. School of Resources Engineering Xi’an University of Architecture and Technology Shaanxi Xi’an710055 China Xi’an Key Laboratory for Intelligent Industrial Perception Calculation and Decision Xi'an University of Architecture and Technology Shaanxi Xi’an710055 China Department of Mathematics and Computer Science Northeastern State University TahlequahOK United States School of Management Xi’an University of Architecture and Technology Shaanxi Xi’an710055 China

Recombination is a key component for the evolutionary algorithm to provide promising offspring solutions. However, conventional recombination operators cannot generate high-quality solutions for variable linkages problems due to the particularity of Pareto sets(PS). To tackle this problem, a two-stage multi-objective evolutionary algorithm based on direction vector guidance(DSMOEA) is proposed in this paper. Firstly, a portion of the population is transformed by a covariance matrix to increase the probability of generating high-quality offspring. Then the representative solutions are selected in the transformed population to create the direction vectors. Under the guidance of the direction vectors, the population rapidly approaches PS and generates promising offspring solutions. Finally, DE is performed for searching globally to increase the diversity of the population. The proposed algorithm is tested on RM, IM, and UF test problems with 30, 50, and 100 dimensions to verify its performance. The experimental results show that the algorithm is promising for variable linkages problems. © 2023, The Authors. All rights reserved.

关键词： Covariance matrix

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Application of conditional generative adversarial network in image super-resolution reconstruction

Application of conditional generative adversarial network in...

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International Conference on Application of Intelligent systems in Multi-modal Information Analytics, MMIA 2020

作者： Wei, Xiang Wang, Feng Chen, Xi Yan, Yongjie Chen, Ping Liu, Sheng State Key Laboratory of Air Traffic Management System and Technology NanjingJiangsu Province China College of Information and Computer Science Taiyuan University of Technology TaiyuanShanxi Province China Taigu County Meteorological Bureau JinzhongShanxi Province China

ISBN: (纸本)9783030515553

In the process of image processing, the higher the resolution of the image, the richer the data information contained in the image. Aiming at the problem of low image resolution, through the research of generating countermeasure network, the condition generating countermeasure network is used to solve this problem. We use a symmetric convolutional neural network as the generator network, each of which has 6 layers. At the same time, by entering the labels into the discriminator, the connection between the original image and the model-generated image can be derived. In the loss function during the experiment, perceptual loss and mean square error are added, and good results are obtained in the actual experiment, and the visual effect of the generated image is more ideal. Compared with other algorithms, the proposed algorithm achieves the visual effect of SRGAN, and the effect on some pictures has been greatly improved. © Springer Nature Switzerland AG 2021.

关键词： Generative adversarial networks

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Research on high-precision silicon-based integrated optical temperature sensor

Research on high-precision silicon-based integrated optical ...

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2021 Applied Optics and Photonics China: Optoelectronics and Nanophotonics, AOPC 2021

作者： Wang, Yimeng Shu, Haowen Han, Xiuyou School of Optoelectronic Engineering and Instrumentation Science Dalian University of Technology Dalian116024 China State Key Laboratory of Advanced Optical Communications System and Networks Department of Electronics School of Electronics Engineering and Computer Science Peking University Beijing100871 China

ISBN: (纸本)9781510649996

Integrated optical temperature sensor nowadays has attracted extensive interests thanks to its merits of high accuracy, electromagnetic immunity, and compact size compared with the traditional solutions. So far, most of the state-of-art integrated optical temperature sensors work by spectrum detection of a resonant cavity, which has certain limitations in terms of response time and cost, and it is difficult to achieve high level integration of the overall system. To solve the above problems, in this paper we use silicon-based integrated micro-ring array technology for high-precision real-time temperature sensing. By constructing a monotonic relationship between the output light intensity of the micro-ring array with the variation of the temperature, rapid and high-precision temperature measurement could be realized. Depending on different practical scenarios, the system can be customized to adapt specific temperature measurement range and resolution. Through the optimized design, the system accuracy could be better than 60mK covering temperature range of 297K∼415K, with response time better than 20μs. © COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.

关键词： Temperature measurement

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Integrated Parallel Chaos driven LiDAR system with High Interference Tolerance

Integrated Parallel Chaos driven LiDAR System with High Inte...

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Conference on Lasers and Electro-Optics (CLEO)

作者： Ruixuan Chen Bitao Shen Haowen Shu Lin Chang Weiqiang Xie Wenchao Liao Zihan Tao John Bowers Xingjun Wang State Key Laboratory of Advanced Optical Communications System and Networks School of Electronics Peking University Beijing China Department of Electrical and Computer Engineering University of California Santa Barbara CA USA Frontiers Science Center for Nano-Optoelectronics Peking University Beijing China

We introduce a chaotic microcomb based high interference-tolerance parallel LiDAR. Parallel chaos with record-high noise spectra beyond 7 GHz leads to sub-cm-level ranging accuracy. The intrinsic orthogonality permits... 详细信息

ISBN: (纸本)9781957171258

关键词： Chaos Image resolution Lidar Range finding Ring resonators Three dimensional imaging

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