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检索条件"任意字段=Proceedings of the 2023 12th International Conference on Computing and Pattern Recognition"

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Improved Bacteria Feeding Algorithm Which Based on Adaptive Probability 12

Improved Bacteria Feeding Algorithm Which Based on Adaptive ...

引用

12th international conference of Information and Communication Technology, ICTech 2023

作者： Gao, Cen Zhu, Xiangning Shenyang Institute of Computing Technology Chinese Academy of Sciences Shenyang China

ISBN: (纸本)9798350332919

the bacterial foraging algorithm is a new bionic algorithm with good performance in big data scheduling [4]. However, the traditional bacterial foraging algorithm has room for further improvement in the expressiveness of the algorithm because of the fixed step size and fixed action. Based on the traditional bacterial foraging algorithm, combined with the relevant requirements of big data scheduling, this paper further discusses and improves the performance of the bacterial foraging algorithm. Experiments show that the improved bacterial foraging algorithm has good performance in performance and response time compared with traditional algorithms. © 2023 IEEE.

关键词： Bacteria

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FDTD modeling of graphene-based materials and its application in sensing devices 12

FDTD modeling of graphene-based materials and its applicatio...

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12th international conference on Modern Circuits and Systems Technologies, MOCAST 2023

作者： Cano, Pablo H. Zapata Amanatiadis, Stamatios Kantartzis, Nikolaos V. Lazaridis, Pavlos Yioultsis, Traianos V. Zaharis, Zaharias D. Aristotle University of Thessaloniki School of Electrical and Computer Eng Thessaloniki Greece University of Huddersfield School of Computing and Engineering Huddersfield United Kingdom

ISBN: (纸本)9798350321074

this manuscript presents, an implementation for the modeling of graphene-based frequency-dispersive materials based on piecewise linear recursive convolution scheme is proposed. Moreover, the time-varying character of graphene's conductivity is exploited for its application in sensing. A graphene oxide sensing antenna operating at 6 GHz is presented and a time analysis of detection mechanism is conducted. © 2023 IEEE.

关键词： Graphene

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Application of Continuous Time Link Prediction in Traceability of Water Environment Pollution 12

Application of Continuous Time Link Prediction in Traceabili...

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12th international conference of Information and Communication Technology, ICTech 2023

作者： Fang, Meng Lyu, Li Wang, Ning Zhou, Xiaolei Hu, Yankun University of Chinese Academy of Sciences Beijing China Shenyang Institute of Computing Technology Chinese Academy of Sciences Shenyang China

ISBN: (纸本)9798350332919

With the rapid development of production and consumption, water pollution incidents are increasing day by day. Point source pollution is the main way for pollutants to enter rivers, and identifying pollution sources is very important for water pollution management. this paper concretizes the problem of pollution source tracing, uses scientific algorithms to transform it into a link prediction problem, and proposes a continuous dynamic link prediction algorithm. the model learns the representation of the time dynamic information of monitoring points and pollution point sources, and predicts the links of nodes through classifiers. Using the monitoring data of water pollution in Fuxin City, the feasibility of the model is verified. © 2023 IEEE.

关键词： Forecasting

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Object Detection Its Progress and Principles 12

Object Detection Its Progress and Principles

引用

12th international conference on System Modeling and Advancement in Research Trends, SMART 2023

作者： Maji, Srabanti Kriti Narayan Shukla, Ajay Arya, Vishakha Gupta, Pooja School of Computing Dit University Dehradun India Computer Science & Engineering Graphic Era Hill University Dehradun India

ISBN: (纸本)9798350369861

Locating objects in images or videos is the major task accomplished by object detection. It has widely been used in various applications related to computer vision for the identification and localization of objects. Over the years, different techniques have been used for object detection ranging from conventional methods to deep learning-based methods. the present work describes the basic methodology of object detection algorithms and gives a broad classification of the techniques utilized for object detection. the work then further sheds light on the basic principle involved behind each technique and also reviews the different studies that have been carried out by utilizing the said object detection technique, highlighting the issue being addressed and the performance. © 2023 IEEE.

关键词： Object detection

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13th international conference on Innovations in Bio-Inspired computing and Applications, IBICA 2022, and 12th World Congress on Information and Communication Technologies, WICT 2022

13th International Conference on Innovations in Bio-Inspired...

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13th international conference on Innovations in Bio-Inspired computing and Applications, IBICA 2022, and 12th World Congress on Information and Communication Technologies, WICT 2022

ISBN: (纸本)9783031274985

the proceedings contain 86 papers. the special focus in this conference is on Innovations in Bio-Inspired computing and Applications. the topics include: A Novel Approach to the Two-Dimensional Cargo Load Problem;vehicle Detection from Aerial Imagery Using Principal Component Analysis and Deep Learning;bio-inspired Heterogeneity in Swarm Robots;software Defect Prediction Using Cellular Automata as an Ensemble Strategy to Combine Classification Techniques;a Systematic Literature Review on Home Health Care Management;the Impact of the Size of the Partition in the Performance of Bat Algorithm;automatic Diagnosis Framework for Catheters and Tubes Semantic Segmentation and Placement Errors Detection;how Artificial Intelligence Can Revolutionize Software Testing Techniques;e-Assessment in Medical Education: From Paper to Platform;Evolution of Configuration Data in CGP Format Using Parallel GA on Embryonic Fabric;DeepPRS: A Deep Learning Integrated pattern recognition Methodology for Secure Data in Cloud Environment;Automated Depression Diagnosis in MDD (Major Depressive Disorder) Patients Using EEG Signal;an Effective Deep Learning Classification of Diabetes Based Eye Disease Grades: An Retinal Analysis Approach;extracting and Analyzing Terms with the Component ‘Green’ in the Bulgarian Language: A Big Data Approach;Apartments Waste Disposal Location Evaluation Using TOPSIS and Fuzzy TOPSIS Methods;detection of Cracks in Building Facades Using Infrared thermography;optimizing Pre-processing for Foetal Cardiac Ultra Sound Image Classification;a Review on Dimensionality Reduction for Machine Learning;detecting Depression on Social Platforms Using Machine Learning;impact of Green Hydrogen Production on Energy Pricing;Cross Synergetic Mobilenet-VGG16 for UML Multiclass Diagrams Classification;the Future in Fishfarms: An Ocean of Technologies to Explore;breast Cancer Identification Using Improved DarkNet53 Model;anomaly Detection Framework.

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Matching 3D models with Global Geometric Feature Map

Matching 3D models with Global Geometric Feature Map

引用

12th international Multi-Media Modelling conference

作者： Wang, Donghui Cui, Chenyang Wu, Zheng College of Computer Science Zhejiang University China Institute of Image and Graphics China Academy of Art China

ISBN: (纸本)1424400287

Measuring the similarity between 3D models is a fundamental task in 3D inodels retrieval. In this paper, we propose a new method based on Global Geometric Feature Map (GGFM) to represent arbitrary polygonal 3D models. Since 3D polygonal model can be expressed as a set of facets, the GGFM contrast constitute a spherical histogram about the normal orientation and area and position of every facet on the surface of the model. By computing the spherical correlation between the GGFMs of the matched models, similarity of two models can be obtained. Experimental results show that the proposed method performs well in 3D model similarity matching and is invariant to the translation and rotation and scaling of 3D model. Comparing to the existing methods, this method is fast and needs low computation and storage cost since each facet of the model needs to be computed only once in GGFM.

关键词： pattern matching

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the Role of Fog computing and IoT in WBAN: Enhancing Healthcare Efficacy 12

The Role of Fog Computing and IoT in WBAN: Enhancing Healthc...

引用

12th international conference on System Modeling and Advancement in Research Trends, SMART 2023

作者： Goel, Swati Guleria, Kalpna Panda, Surya Narayan Chitkara University Institute of Engineering and Technology Chitkara University Punjab India

ISBN: (纸本)9798350369861

the fusion of Fog computing and the Internet of things (IoT) within the realm of Wireless Body Area Networks (WBANs) presents a transformative paradigm that redefines healthcare monitoring and treatment. this convergence leverages Fog computing's localized data processing and IoT's interconnectivity to propel WBAN's capabilities to new heights, enhancing real-time insights, responsiveness, and patient-centric care. this paper delves into how Fog computing and IoT can be applied synergistically in the context of WBAN, ushering in a new era of advanced healthcare. WBAN technology has emerged as a pivotal asset in revolutionizing healthcare by enabling continuous monitoring of physiological data. As WBAN devices proliferate, the integration of Fog computing within this ecosystem has garnered significant attention for its ability to enhance data processing, real-time responsiveness, and overall healthcare efficacy. Fog computing's strategic application within WBAN holds the potential to amplify the benefits of remote patient monitoring and advance the landscape of healthcare delivery. the paper provides an insight on the benefits of using fog computing and IoT integration with WBAN and its architecture. the key characteristics of WBAN using Fog computing, WBAN using IoT, and standalone WBAN are outlined. the paper also highlights the strengths and weakness of all variants. An example scenario related to monitoring elderly patients is also explained to give a clear view of the concept. © 2023 IEEE.

关键词： Fog computing

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computing Cohomology Rings in Cubical Agda 2023

Computing Cohomology Rings in Cubical Agda

引用

12th ACM SIGPLAN international conference on Certified Programs and Proofs (CPP)

作者： Lamiaux, thomas Ljungstrom, Axel Mortberg, Anders Univ Paris Saclay Gif Sur Yvette France ENS Paris Saclay Gif Sur Yvette France Stockholm Univ Dept Math Stockholm Sweden

ISBN: (纸本)9798400700262

In Homotopy Type theory, cohomology theories are studied synthetically using higher inductive types and univalence. this paper extends previous developments by providing the first fully mechanized definition of cohomology rings. these rings may be defined as direct sums of cohomology groups together with a multiplication induced by the cup product, and can in many cases be characterized as quotients of multivariate polynomial rings. To this end, we introduce appropriate definitions of direct sums and graded rings, which we then use to define both cohomology rings and multivariate polynomial rings. Using this, we compute the cohomology rings of some classical spaces, such as the spheres and the Klein bottle. the formalization is constructive so that it can be used to do concrete computations, and it relies on the Cubical Agda system which natively supports higher inductive types and computational univalence.

关键词： Synthetic Cohomology theory Cohomology Rings Polynomials Homotopy Type theory

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An Adaptive Sliding-mode Controller for Flexible-joint Manipulator 12

An Adaptive Sliding-mode Controller for Flexible-joint Manip...

引用

12th IEEE international conference on Control, Automation and Information Sciences, ICCAIS 2023

作者： Chiem, Nguyen Xuan Pham, thuy Xuan thai, Pham Duy Phan, Tran Cong Le Quy Don Technical University Department of Automation and Computing Techniques Hanoi Viet Nam

ISBN: (纸本)9798350328783

this paper represents a method of designing adaptive sliding mode control law for a class of flexible joint manipulators. the method aims at developing and deploying a controller for the system in case of existing disturbances in the process of generating control signal for the actuator. For drivers and motors in low-cost flexible-joint manipulator systems, there are always frictions and torque deviations when they operate. the proposed controller is designed to eliminate the impact of such disturbances on the tracking performance of the manipulator. To validate the design method, the stability of the control law is examined by using Lyapunov method. the performance is evaluated by simulation results as well as real-time responses of the custom-developed system;in addition, they are compared to ones from the counterparts. © 2023 IEEE.

关键词： Lyapunov methods

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patternGPT :A pattern-Driven Framework for Large Language Model Text Generation 12

PatternGPT :A Pattern-Driven Framework for Large Language Mo...

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12th international conference on computing and pattern recognition, ICCPR 2023

作者： Xiao, Le Shan, Xin Chen, Xiaolin College of Information Science and Engineering Henan University of Technology Zhengzhou China

ISBN: (纸本)9798400707988

Large language models(LLMS) have shown excellent text generation capabilities, capable of generating fluent human-like responses for many downstream tasks. However, applying large language models to real-world critical tasks remains challenging due to their susceptibility to hallucinations and inability to directly use external knowledge. To cope with the above challenges, this paper proposes patternGPT, a pattern-driven text generation framework for Large Language Models. Firstly, the framework utilizes the extraction capability of Large Language Models to generate rich and diversified structured and formalized patterns, which facilitates the introduction of external knowledge to do the computation, and then draws on the idea of federated learning to use multiple agents to achieve the sharing in order to obtain more diversified patterns, and finally uses judgment criteria and optimization algorithm to search for high-quality patterns to guide the generation of models. Finally, external knowledge such as judgment criteria and optimization algorithms are used to search for high-quality patterns, and the searched patterns are used to guide model generation. this framework has the advantages of generating diversified patterns, protecting data privacy, combining external knowledge, and improving the quality of generation, which provides an effective method to optimize the text generation capability of large language models, and make it better applied to the field of intelligent dialogue and content generation. © 2023 ACM.

关键词： Data privacy

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