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9th International Conference on Big Data and information Analytics, BigDIA 2023

作者： Zhang, Peng Mei, Fengjia Liu, Zonghao Xie, Ke Li, Yuanman Li, Yanshan Shenzhen University College of Electronics and Information Engineering Shenzhen518060 China Nanjing Research Institute of Electronic Engineering Science and Technology on Information Systems Engineering Laboratory Nanjing210023 China

ISBN: (纸本)9798350330076

Aerial target grouping, partitioning targets into some clusters according to the features of attribute and behavior, contributes to tactical recognition and command decision-making. For the scenario of high-dimensional data in aerial target grouping, sparse subspace clustering is expected to be one of the effective methods, where high-dimensional data are represented by low dimensional subspaces using sparsity. In order to achieve aerial target grouping by sparse subspace clustering efficiently and accurately, an improved sparse subspace clustering with the mixed constraints of distance and velocity (SSC_MC) is proposed. First, k nearest neighbours algorithm is used to filter neighbours, so as to improve the self-represention by the whole data set into only by their nearest neighbours;next, the mixed constraints of distance and velocity are introduced in sparse subspace clustering, which emphasizes the importance of these features in aerial target grouping;last, the experiments for aerial target grouping are implemented, showing the proposed algorithm SSC_MC can be used to aerial target grouping with high efficiency and accuracy. © 2023 IEEE.

关键词： Decision making

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Tracking Dengue on Twitter Using Hybrid Filtration-Polarity and Apache Flume

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Computer systems science & engineering 2022年第3期40卷 913-926页

作者： Norjihan Binti Abdul Ghani Suraya Hamid Muneer Ahmad Younes Saadi N.Z.Jhanjhi Mohammed A.Alzain Mehedi Masud Department of Information Systems Faculty of Computer Science&Information TechnologyUniversiti Malaya50603Kuala LumpurMalaysia School of Computer Science and Engineering SCE Taylor’s UniversitySubang Jaya47500Malaysia Department of Information Technology College of Computers and Information TechnologyTaif UniversityTaif21944Saudi Arabia Department of Computer Science College of Computers and Information TechnologyTaif UniversityTaif21944Saudi Arabia

The world health organization(WHO)terms dengue as a serious illness that impacts almost half of the world’s population and carries no specific *** and accurate detection of spread in affected regions can save precious *** the severity of the disease,a few noticeable works can be found that involve sentiment analysis to mine accurate intuitions from the social media text ***,the massive data explosion in recent years has led to difficulties in terms of storing and processing large amounts of data,as reliable mechanisms to gather the data and suitable techniques to extract meaningful insights from the data are *** research study proposes a sentiment analysis polarity approach for collecting data and extracting relevant information about dengue via Apache *** method consists of two main parts:the first part collects data from social media using Apache Flume,while the second part focuses on querying and extracting relevant information via the hybrid filtration-polarity algorithm using Apache *** overcome the noisy and unstructured nature of the data,the process of extracting information is characterized by pre and post-filtration *** a result,only with the integration of Flume and Hive with filtration and polarity analysis,can a reliable sentiment analysis technique be offered to collect and process large-scale data from the social *** introduce how the Apache Hadoop ecosystem–Flume and Hive–can provide a sentiment analysis capability by storing and processing large amounts of *** important finding of this paper is that developing efficient sentiment analysis applications for detecting diseases can be more reliable through the use of the Hadoop ecosystem components than through the use of normal machines.

关键词： Big data analysis data filtration text analysis sentiment analysis social media event detection

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Plant Disease Detection and Classification using Emperor Penguin Optimizer (EPO) based Region Convolutional Neural Network (RCNN) 2

Plant Disease Detection and Classification using Emperor Pen...

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2nd IEEE International Conference on Trends in Quantum Computing and Emerging Business Technologies, TQCEBT 2024

作者： Shanbhog, Manjula Bhatia, Neha Singh, A Swathi Pavithra, M. School of Sciences Department of Computer Science Delhi NCR India Panipat Institute of Engineering and Technology Department of Information Technology Haryana Panipat India MIT-ADT School of Computing Department of Information and Technology Maharashtra Pune India Panimalar Engineering College Department of Computer Science and Business Systems Chennai India

ISBN: (纸本)9798350384277

Agriculture stands as India's most crucial industry, despite grappling with a 35% annual loss in crop yield attributed to plant diseases. Traditionally, the detection of plant diseases has been a laborious process, hampered by insufficient laboratory infrastructure and expert knowledge. Plant disease detection methods that are automated provide a useful way to expedite the labor-intensive process of keeping an eye on large-scale agricultural fields and recognizing disease symptoms as soon as they appear on plant leaves. Current developments in deep learning (DL) and computer vision have highlighted the benefits of creating autonomous models for plant disease identification based on visible symptoms on leaves. In this study, we propose a novel method for detecting and classifying plant diseases by combining the Emperor Penguin Optimizer (EPO) with a Region Convolutional Neural Network (RCNN). The suggested methodology uses EPO to improve the discriminative power of features extracted from plant pictures, allowing for a more robust and accurate classification procedure. The Classification Region Convolutional Neural Network (RCNN) is used to leverage spatial correlations within the image, allowing for exact disease region localization. The goal of this integration is to increase the overall efficiency and dependability of plant disease detection systems. The investigations made use of the well-known PlantVillage dataset, which comprises 54,305 data of different plant disease types in 38 categories. Furthermore, an analysis was carried out in comparison with similar advanced investigations. According to the experiment results, RCNN-EPO outperformed in terms of classification accuracy, achieving 94.552%. © 2024 IEEE.

关键词： Convolutional neural networks

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Design of high-capacity, low-loss, multi-layer few mode fiber with negatively-doped cladding over C-band

Design of high-capacity, low-loss, multi-layer few mode fibe...

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2024 Asia Communications and Photonics Conference, ACP 2024 and International Conference on information Photonics and Optical Communications, IPOC 2024

作者： Ye, Haiqin Tu, Jiajing Zhuang, Mingjuan Gao, Shecheng Li, Zhaohui Guangdong Provincial Key Laboratory of Optoelectronic Information Processing Chips and Systems School of Electronics and Information Technology Sun Yat-sen University Guangzhou China Department of Electronic Engineering College of Information Science and Technology Jinan University Guangzhou China

ISBN: (纸本)9798350379266

To accommodate more modes, the refractive index of core material in few mode fiber will become large, causing high Rayleigh scattering loss. To solve this issue, we adopt fluorinedopled quartz cladding to reduce the doping content in the core. In this paper, we design weakly-coupled few-mode fibers with ultra-low loss and 10 mode groups, from the points of numerical simulation and intelligence algorithm. © 2024 IEEE.

关键词： Rayleigh scattering

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Design Of A Weakly Coupled 19-Core 5-Mode-Group Fiber For Dense Space-Division Multiplexing

Design Of A Weakly Coupled 19-Core 5-Mode-Group Fiber For De...

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2024 Asia Communications and Photonics Conference, ACP 2024 and International Conference on information Photonics and Optical Communications, IPOC 2024

作者： Chen, Kaihui Tu, Jiajing Gao, Shecheng Li, Zhaohui Guangdong Provincial Key Laboratory of Optoelectronic Information Processing Chips and Systems School of Electronics and Information Technology Sun Yat-sen University Guangzhou China Department of Electronic Engineering College of Information Science and Technology Jinan University Guangzhou China

ISBN: (纸本)9798350379266

Few-mode multi-core fiber is a space-division multiplexing backup solution to address the communication capacity crunch which is limited by the capacity of single-mode fiber. In this paper, we propose a weakly coupled 19-core 5-mode-group trench-assisted ring-core fiber with ultra-high spatial channel number, which can support up to 380 usable spatial mode channels (19 cores × 5 radial first-order OAM mode groups × 4 degenerate modes). To our knowledge, this is the highest channel count reported for few-mode multi-core fibers. The fiber can stably transmit 5 OAM mode groups in the C+L band. The minimum effective index difference between adjacent radial first-order mode groups is 1.35 × 10-3. With limited cladding diameter, when the core pitch is 44 µm, the inter-core crosstalk for the high-order OAM5,1 mode can reach -60.13 dB/100km. © 2024 IEEE.

关键词： Crosstalk

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Design of NV color center fluorescence signal acquisition circuit based on FPGA architecture

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Optoelectronics Letters 2024年第12期20卷 721-727页

作者： ZENG Sen YANG Shuqiang LIU Jingyan ZHAO Chuang SHANG Zhengguo HE Xianming Key Laboratory of Optoelectronic Technology and Systems Ministry of Education of ChinaChongqing UniversityChongqing 400044China College of Physics and Electronics Information Luoyang Normal UniversityLuoyang 471934China School of Electrical Engineering Chongqing University of Science and TechnologyChongqing 401331China

Nitrogen-vacancy(NV)quantum defects in diamond are sensitive detectors of magnetic *** rapid development of NV-center magnetic sensor has higher requirements for high-speed and high-precision data acquisition,weak signal detection and ***,the existing sensing technologies based on diamond NV centers rely on bulky and expensive instruments,which must be replaced by a more compact *** we combine NV quantum sensing technology with integrated circuit technology to create a compact and easy-to-operate platform,which includes microwave source module,transistor-transistor logic(TTL)modulation module,digital lock-in amplifier(DLIA)module,*** order to confirm the reliability of the experimental platform,we not only tested the performance of each individual module,but also carried out optical detection magnetic resonance(ODMR)*** this platform,we can obtain a magnetic sensitivity of 465 nT/Hz^(1/2).This experimental platform with convenient operation and low noise has the potential to become an independent magnetic measuring instrument.

关键词： center centers fir

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Accurate Decision-Making Method for Air Combat Pilots Based on Data-Driven 7th

Accurate Decision-Making Method for Air Combat Pilots Based...

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7th International Conference on Data Mining and Big Data, DMBD 2022

作者： Mao, Yiming Xia, Zhijie Li, Qingwei He, Jiafan Fei, Aiguo Science and Technology on Information Systems Engineering Laboratory Nanjing210023 China

ISBN: (纸本)9789811989902

The development of science and technology has constantly changed the air combat battlefield. At present, more and more researches focus on the optimization of air combat pilot Expert System(ES). The ES can be divided into two parts: tactical state decision-making and maneuver behavior decision-making. Although a lot of work had optimized the generation method of maneuver behavior decision-making, the tactical state decision-making still follows the original human rules. Based on a large number of tactical state decision-making sample data, this paper uses data-driven method to build a deep learning network. Experiments showed that this method can learn high-level decision empirical data and replace rule models, and can be applied to pilot’s accurate tactical state decision-making in the future. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Decision making

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Reusable Description Method of Simulation Model for Joint Operation Scenario 12th

Reusable Description Method of Simulation Model for Joint Op...

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12th International Conference on Computer engineering and Networks, CENet 2022

作者： Jianning, Lin Wei, Chu Chenyan, Kong Science and Technology On Information Systems Engineering Laboratory Nanjing210007 China

ISBN: (纸本)9789811969003

With the emergence of network-centrism simulation application mode, more and more simulation models need to be shared and reused. Based on the classification of heterogeneous simulation models, this paper defines a five level reuse granularity and reuse framework of simulation model resources, designs a description method of simulation model from three aspects of function attribute, usage attribute and configuration attribute, and implements a simulation model registration tool based on this method. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Computer software reusability

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Development and Investigation of Vision System for a Small-Sized Mobile Humanoid Robot in a Smart Environment

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International Journal of Crowd science 2025年第1期9卷 29-43页

作者： Abu-Jassar, Amer Tahseen Attar, Hani Amer, Ayman Lyashenko, Vyacheslav Yevsieiev, Vladyslav Solyman, Ahmed Department of Computer Science College of Information Technology Amman Arab University Amman11937 Jordan Faculty of Engineering Zarqa University Zarqa2000 Jordan College of Engineering University of Business and Technology Jeddah21448 Saudi Arabia Department of Media Systems and Technology Kharkiv National University of Radio Electronics Kharkiv61166 Ukraine Department of Electrical and Electronics Engineering Faculty of Engineering and Architecture Nişantaşı University Istanbul34398 Turkey

The conducted research aims to develop a computer vision system for a small-sized mobile humanoid robot. The decentralization of the servomotor control and the computer vision systems is investigated based on the hardware solution point of view, moreover, the required software level to achieve an efficient matched design is obtained. A computer vision system using the upgraded tiny-You Only Look Once (YOLO) network model is developed to allow recognizing and identifying objects and making decisions on interacting with them, which is recommended for crowd environment. During the research, a concept of a computer vision system was developed, which describes the interaction between the main elements, on the basis of which hardware modules were selected to implement the task. A structure of information interaction between hardware modules is proposed, and a connection scheme is developed, on the basis of which a model of a computer vision system is assembled for research, with the required algorithmic and software for solving the problem. To ensure the high speed of the computer vision system based on the ESP32-CAM module, the neural network was improved by replacing the Visual Geometry Group 16 (VGG-16) network as the base network for extracting the functions of the Single Shot Detector (SSD) network model with the tiny-YOLO lightweight network model, which made it possible to preserve the multidimensional structure of the network model feature graph, resulting in increasing the detection accuracy, while significantly reducing the amount of calculations generated by the network operation, thereby significantly increasing the detection speed, due to a limited set of objects. Finally, a number of experiments were carried out, both in static and dynamic environments, which showed a high accuracy of identifications. © The author(s) 2025.

关键词： Anthropomorphic robots

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Low power consumption reduced state and transition MLSE in optical interconnects

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science China(information sciences) 2023年第10期66卷 325-326页

作者： Weihao NI Fan LI Wei WANG Zhibin LUO Xingwen YI Yi CAI Zhaohui LI School of Electronics and Information Technology Guangdong Provincial Key Laboratory of Optoelectronic Information Processing Chips and Systems Sun Yat-sen University Southern Marine Science and Engineering Guangdong Laboratory(Zhuhai) Jiangsu Engineering Research Center of Novel Optical Fiber Technology and Communication Network Suzhou Key Laboratory of Advanced Optical Communication Network Technology Soochow University

Intensity modulation/direct detection(IM/DD) optical fiber communication system is an appropriate candidate for optical interconnect applications due to its low cost and low power consumption characteristics [1]. 4-level pulse amplitude modulation(PAM-4) is widely discussed in optical interconnects due to its simpler transceiver configuration and implementation [2].

关键词： Optical interconnects

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