检索结果-内蒙古大学图书馆

Artificial Humming Bird Optimization with Siamese Convolutional Neural Network Based Fruit Classification Model

Computer Systems Science & engineering 2023年第11期47卷 1633-1650页

作者： T.Satyanarayana Murthy Kollati Vijaya Kumar Fayadh Alenezi E.Laxmi Lydia Gi-Cheon Park Hyoung-Kyu Song Gyanendra Prasad Joshi Hyeonjoon Moon Department of Information Technology Chaitanya Bharathi Institute of TechnologyHyderabadTelanganaIndia Department of Computer Science College of Computer and Information SciencesMajmaah UniversityAl-Majmaah11952Saudi Arabia Department of Electrical Engineering College of EngineeringJouf UniversitySakakaSaudi Arabia Department of Computer Science and Engineering Vignan’s Institute of Information TechnologyVisakhapatnam530049India Department of International Affairs and Education Gangseo UniversitySeoul07661Korea Department of Information and Communication Engineering and Convergence Engineering for Intelligent Drone Sejong UniversitySeoul05006Korea Department of Computer Science and Engineering Sejong UniversitySeoul05006Korea

Fruit classification utilizing a deep convolutional neural network(CNN)is the most promising application in personal computer vision(CV).Profound learning-related characterization made it possible to recognize fruits from ***,due to the similarity and complexity,fruit recognition becomes an issue for the stacked fruits on a weighing ***,Machine Learning(ML)methods have been used in fruit farming and agriculture and brought great convenience to human *** automated system related to ML could perform the fruit classifier and sorting tasks previously managed by human ***’s(convolutional neural networks)have attained incredible outcomes in image classifiers in several *** the success of transfer learning and CNNs in other image classifier issues,this study introduces an Artificial Humming Bird Optimization with Siamese Convolutional Neural Network based Fruit Classification(AMO-SCNNFC)*** the presented AMO-SCNNFC technique,image preprocessing is performed to enhance the contrast level of the *** addition,spiral optimization(SPO)with the VGG-16 model is utilized to derive feature *** fruit classification,AHO with end to end SCNN(ESCNN)model is applied to identify different classes of *** performance validation of the AMO-SCNNFC technique is tested using a dataset comprising diverse classes of fruit *** comparison studies reported improving the AMOSCNNFC technique over other approaches with higher accuracy of 99.88%.

关键词： Fruit classification computer vision machine learning deep learning metaheuristics

来源：评论

学校读者我要写书评

暂无评论

A Reinforcement Learning-Based Computational Model of Human Elbow Joint Operation for Effective Human-Machine Interface

A Reinforcement Learning-Based Computational Model of Human ...

引用

2024 IEEE International Conference on Consumer Electronics-Asia, ICCE-Asia 2024

作者： Yoo, Eunsoo Choi, Kyungrak Park, Hangue Sungkyunkwan University Department of MetaBioHealth Suwon Korea Republic of Texas A & M University Department of Electrical and Computer Engineering United States Sungkyunkwan University Department of Biomedical Engineering Department of Intelligent Precision Healthcare Convergence Department of MetaBioHealth Suwon Korea Republic of

ISBN: (纸本)9798331530839

Designing effective human-machine interfaces requires understanding complex interactions between humans and machines. However, even bi-directional communication that relies on sensor data is often insufficient due to the unpredictability of human behaviors. To better anticipate these behaviors, a computational model that reflects the operating principles of the human nervous system is essential. This study presents a computational neuromechanical model that focuses on human sensorimotor operations, particularly in the context of elbow joint rotation. The model leverages reinforcement learning (RL) to simulate the brain's reward mechanism in motor adjustment, with the reward function adjusted by a multiplication constant (M) that reflects individual variability in sensorimotor processing. Measurement and simulation data were evaluated based on their overlap ratios. The test results demonstrate that the RL-based model, when calibrated with an optimal M value, closely matches with measured motor outputs, indicating its potential for improving the effectiveness of the human-machine interface. © 2024 IEEE.

关键词： Reinforcement learning

来源：评论

学校读者我要写书评

暂无评论

A semantic and emotion-based dual latent variable generation model for a dialogue system

引用

CAAI Transactions on Intelligence Technology 2023年第2期8卷 319-330页

作者： Ming Yan Xingrui Lou Chien Aun Chan Yan Wang Wei Jiang State Key Laboratory of Media Convergence and Communication Communication University of ChinaBeijingChina School of Information and Communications Engineering Communication University of ChinaBeijingChina Key Laboratory of Acoustic Visual Technology and Intelligent Control System Communication University of ChinaBeijingChina Department of Electrical and Electronic Engineering The University of MelbourneMelbourneVictoriaAustralia School of Data Science and Intelligent Media Communication University of ChinaBeijingChina

With the development of intelligent agents pursuing humanisation,artificial intelligence must consider emotion,the most basic spiritual need in human *** emotional dialogue systems usually use an external emotional dictionary to select appropriate emotional words to add to the response or concatenate emotional tags and semantic features in the decoding step to generate appropriate ***,selecting emotional words from a fixed emotional dictionary may result in loss of the diversity and consistency of the *** propose a semantic and emotion-based dual latent variable generation model(Dual-LVG)for dialogue systems,which is able to generate appropriate emotional responses without an emotional *** from previous work,the conditional variational autoencoder(CVAE)adopts the standard transformer ***,Dual-LVG regularises the CVAE latent space by introducing a dual latent space of semantics and *** content diversity and emotional accuracy of the generated responses are improved by learning emotion and semantic features ***,the average attention mechanism is adopted to better extract semantic features at the sequence level,and the semi-supervised attention mechanism is used in the decoding step to strengthen the fusion of emotional features of the *** results show that Dual-LVG can successfully achieve the effect of generating different content by controlling emotional factors.

关键词： conditional variational autoencoder dual latent space emotional responses latent variable generation

来源：评论

学校读者我要写书评

暂无评论

CMOS Leaky Integrate-and-Fire Neurons with Local Dynamic Biasing and Inhibitory Self-Oscillation

CMOS Leaky Integrate-and-Fire Neurons with Local Dynamic Bia...

引用

2023 IEEE Biomedical Circuits and Systems Conference, BioCAS 2023

作者： Cho, Mannhee Kang, Minil Um, Minseong Park, Hangue Lee, Hyung-Min Korea University School of Electrical Engineering Seoul Korea Republic of Korea University Department of Semiconductor System Engineering Seoul Korea Republic of Sungkyunkwan University Department of Biomedical Engineering Suwon Korea Republic of Sungkyunkwan University Department of Intelligent Precision Healthcare Convergence Suwon Korea Republic of Texas A&m University Department of Electrical and Computer Engineering United States

ISBN: (纸本)9798350300260

This paper presents a CMOS-based neuromorphic circuit that can simulate self-oscillatory firing behaviors. Based on the leaky integrate-and-fire neuron model, a dynamic bias controller and an excitation integrator are added for controlling inhibitory connection between neurons as well as switching the operation mode with an integrated excitatory control signal. The proposed neuron circuit replicates extracellular fluidic biasing of membrane potential that oscillates at low frequency on top of the temporal integration of the action potential firing at high frequency. The proposed neuron can also replicate the synaptic fatigue by implementing inhibition declining over time, which leads the bias to oscillate. The proposed neuron model was implemented with 250nm CMOS process at 2.5V supply voltage. Each neuron consumes 46.16pJ energy/spike from leaky integration. Simulation results verified that a pair of proposed neuron cells can generate an oscillatory rhythm, where the bias waveform oscillates with the output spikes generated based on the bias level change. The proposed neuron circuit model can be utilized to reproduce more complicated oscillatory network behaviors of biological neurons. © 2023 IEEE.

关键词： biological oscillator leaky integrate-and-fire neuron Neuromorphic spiking neural network

来源：评论

学校读者我要写书评

暂无评论

Filter-Based Land Vehicle Speed Estimation Algorithm using Pseudo Bias Model of Single-Axis Accelerometer

引用

Journal of Institute of Control, Robotics and Systems 2022年第11期28卷 1088-1095页

作者： Lee, Joohan Park, Sojin Kim, Eungju Kim, Jinsung Song, Jinwoo Department of Intelligent Mechatronics Engineering and Convergence Engineering for Intelligent Drone Sejong University Korea Republic of Research and Development Division Vehicle Control Development Center Hyundai Motor Company Korea Republic of

This study presents a filter-based vehicle longitudinal speed estimation algorithm with improved accuracy by estimating the accelerometer bias using only a single-axis accelerometer in the section where the odometer reliability is low. Most vehicles use odometers to obtain speed information because odometers can measure speed with high accuracy under normal driving conditions. However, since the typical odometer has a characteristic that depends on the measured revolutions per minute of the vehicle wheel, if a slip situation occurs in which the wheel slides owing to a sudden start and sudden stop, then the odometer outputs an inaccurate speed measurement. To solve this problem, we redefine the sensor error model of the accelerometer attached to the vehicle and propose a method to estimate the attitude and self-bias component, which are error components that have large effects on the accelerometer, through an adaptive lowpass filter. In addition, we propose an approach to apply the zero-velocity update method to improve the accuracy of the estimated speed information by integrating the error-compensated acceleration value based on the filter. To evaluate the performance of the proposed algorithm, an actual vehicle experiment was performed, and the speed estimation results of the odometer disabled area were analyzed. The results confirmed that the accuracy of speed estimation was greatly improved. © ICROS 2022.

关键词： Accelerometers

来源：评论

学校读者我要写书评

暂无评论

Vehicle Dynamic Model Based Navigation Algorithm Requirement Analysis for Improving High Precision Inertial Navigation System

引用

Journal of Institute of Control, Robotics and Systems 2023年第10期29卷 818-825页

作者： Ko, Bo Sung Kim, Yong Hun Lee, Joo Han Park, So Jin Park, Seung Hyo Song, Jin Woo Department of Intelligent Mechatronics Engineering and Convergence Engineering for Intelligent Drone Sejong University Korea Republic of Naval Combat System PMO Marine Technology Research Institute Agency for Defense Development Korea Republic of

We propose an idea of using VDM (Vehicle Dynamic Model) as a constraint of INS (Inertial Navigation System) for improving the long term navigation performance. In order to suppress long term INS error, a constrained Kalman filter is applied. Before developing the high precision INS with various sensors and techniques, M&S (Modeling & Simulation) step is performed to define and validate the necessary requirements of the development, which here in this research, the requirement of VDM quality is analyzed. M&S is constructed using a 6-DOF submarine dynamic model and a guidance-navigation control model. It is assumed that the navigation sensor is consisted with an inertial measurement unit, EM-Log (Electromagnetic Log), and DM (Depth Module). Monte-Carlo simulation results confirm the effectiveness of the VDM employed by the constrained Kalman filter and requirements for VDM error are also analyzed. © ICROS 2023.

关键词： Inertial navigation systems

来源：评论

学校读者我要写书评

暂无评论

Visual Analytics System of Comprehensive Data Quality Improvement for Machine Learning using Data- and Process-driven Strategies

Visual Analytics System of Comprehensive Data Quality Improv...

引用

IEEE International Conference on Big Data

作者： Hyein Hong Sangbong Yoo Yejin Jin Chanyoung Yoon Soobin Yim Seokhwan Choi Yun Jang Department of Computer Engineering and Convergence Engineering for Intelligent Drone Sejong University Seoul South Korea Department of Computer Engineering Sejong University Seoul South Korea

ISBN: (纸本)9781665480468

Machine learning (ML) models are used to mine inconspicuous information in big data. The model and data quality influence the performance of a ML model. However, modifying the ML model while measuring performance is impractical, and low-quality data causes biased model training. Therefore, improving the data quality is essential. Visual analytics systems supporting DQI (Data Quality Improvement) have been proposed in the past. However, in the studies, it is difficult for users to assess comprehensive data quality improvement methods for machine learning and to determine an appropriate data quality improvement process. In this paper, we propose a novel visual analytics system for managing data quality used in machine learning models.

关键词： Training Performance evaluation Analytical models Data integrity Visual analytics Machine learning Big Data

来源：评论

学校读者我要写书评

暂无评论

Improving the Error Performance and Sum Rate of NOMA System by Applying Encoding and Decoding Scheme with XOR Bit Operation

Improving the Error Performance and Sum Rate of NOMA System ...

引用

International Conference on Ubiquitous and Future Networks, ICUFN

作者： Sang-Wook Park Hyoung-Do Kim Ji-Hee Yu Seong-Gyun Choi Hyoung-Kyu Song Department of Information and Communication Engineering Sejong University Seoul South Korea Department of Convergence Engineering for Intelligent Drone Sejong University Seoul South Korea

ISBN: (数字)9798350385298

ISBN: (纸本)9798350385304

This paper proposes a scheme that adds XOR bit operations into the encoding and decoding process of conventional non-orthogonal multiple access (NOMA) system. Because the conventional NOMA combines and sends multiple data within limited resources, it has a higher data rate than orthogonal multiple access (OMA) at the expense of error performance. However, using the proposed encoding and decoding scheme, both error performance and sum rate can be improved. In the proposed scheme, the transmitter sends the original data and the redundancy data in which the exclusive OR (XOR) values of the data are compressed using the superposition coding (SC) technique. After this process, the data rate of users decreases due to redundancy data, but since the original data is sent without power allocation, the data rate of user with poor channel conditions increases compared to the conventional NOMA. As a result, the error performance and sum rate of the proposed scheme are better than those of the conventional NOMA.

关键词： Degradation NOMA Transmitters Redundancy Encoding Decoding Resource management

来源：评论

学校读者我要写书评

暂无评论

Performance of Double Reconfigurable intelligent Surface Assisted Communication System

Performance of Double Reconfigurable Intelligent Surface Ass...

引用

International Conference on Ubiquitous and Future Networks, ICUFN

作者： Seung-Geun Yoo Min-A Kim Jin-Woo Kim Sang-Wook Park Hyoung-Kyu Song Department of Information and Communication Engineering Sejong University Seoul South Korea Department of Convergence Engineering for Intelligent Drone Sejong University Seoul South Korea

Since reconfigurable intelligent surface(RIS) enhances the spectral efficiency of wireless communication system, it is a promising technology in the future communication. However, if there are a lot of obstacles, single RIS cannot guarantee performance and double RIS experiences fading three times. So, this paper suggests double RIS assisted communication system with amplifier. Suggested RIS system is compared with conventional RIS system in terms of bit error rate and sumrate. Simulation result shows that the performance of suggested RIS system outperforms single RIS system by 4.7% and double RIS system without amplifier by 12.6%, in terms of sumrate.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Scattering Matrix Design of Reconfigurable intelligent Surface Based on Group Connected Impedance Network in MU-MIMO System

Scattering Matrix Design of Reconfigurable Intelligent Surfa...

引用

International Conference on Ubiquitous and Future Networks, ICUFN

作者： Min-A Kim Seung-Geun Yoo Hyoung-Do Kim Kyeung-Ho Shin Hyoung-Kyu Song Department of Information and Communication Engineering Sejong University Seoul South Korea Department of Convergence Engineering for Intelligent Drone Sejong University Seoul South Korea

Reconfigurable intelligent surface (RIS) is considered as a promising technology for next-generation 6G wireless system by controlling the propagation environment that degrades the quality of received signals in wireless communication. In contrast to the conventional RIS architecture in which an impedance of each RIS element is grounded, the general architecture having an impedance network connected to each other element can more flexibly control the signal. The computational complexity by optimization of the scattering matrix of the general RIS architecture increases according to the size of the channel matrix. Therefore, as the number of users increases, high computational complexity is paid for optimizing the scattering matrix. This paper proposes the effective scattering matrix design for RIS based on group connected impedance network in multi-user multiple-input multiple-output(MU-MIMO) wireless communication systems. By limiting the number of supported users per group to one, it is possible to effectively reduce computational complexity and ensure appropriate performance compared to the optimization of the scattering matrix that maximizes the channel gain of all users.

关键词：

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：