Journal of Computer Science and Cybernetics最新文献_第2页

AN IMPROVEMENT DESIGN OF MULTI-FUNCTION CONTROLLER FOR HIGH-TECH SHRIMP FARM 高科技虾场多功能控制器的改进设计

Journal of Computer Science and Cybernetics Pub Date : 2023-06-12 DOI: 10.15625/1813-9663/18172

B. Cao

引用次数: 0

HUMAN GAIT ANALYSIS USING HYBRID CONVOLUTIONAL NEURAL NETWORKS 基于混合卷积神经网络的人体步态分析

Journal of Computer Science and Cybernetics Pub Date : 2023-06-12 DOI: 10.15625/1813-9663/18067

Khang Nguyen, Viet V. Nguyen, Nga Mai, An H. Nguyen, An Nguyen

{"title":"HUMAN GAIT ANALYSIS USING HYBRID CONVOLUTIONAL NEURAL NETWORKS","authors":"Khang Nguyen, Viet V. Nguyen, Nga Mai, An H. Nguyen, An Nguyen","doi":"10.15625/1813-9663/18067","DOIUrl":"https://doi.org/10.15625/1813-9663/18067","url":null,"abstract":"Human gait analysis is a promising method of researching on human activities like walking or sitting. It reflects the habits of one person and can be observed in any activity that person performs. The patterns in human movements are influenced by many factors, including physiology, social, psychological, and health factors. Differences in limb movements help identify gait patterns, which are often measured using inertial measurement unit sensors (IMU) like gyroscopes and accelerometers placed in various locations throughout the body. \u0000 \u0000This paper analyses the combination of IMU sensors and electromyography sensors (EMG) to improve the identification accuracy of human movements. We propose the hybrid convolutional neural network (CNN) and long short-term memory neuron network (LSTM) for the human gait analysis problem to achieve an accuracy of 0.9418, better than other models including pure CNN models. By using CNN's image classification advancements, we analyse multivariate time series sensor signals by using a sliding window to transform sensor data into image representation and principal component analysis (PCA) to reduce the data dimensionality. To tackle the dataset imbalance issue, we re-weight our model loss by the inverse effective number of samples in each class. We use the human gait HuGaDB dataset with unique characteristics, for gait analysis.","PeriodicalId":15444,"journal":{"name":"Journal of Computer Science and Cybernetics","volume":"22 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81786918","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

A STUDY OF DATA AUGMENTATION AND ACCURACY IMPROVEMENT IN MACHINE TRANSLATION FOR VIETNAMESE SIGN LANGUAGE 越南语手语机器翻译的数据增强与准确性提高研究

Journal of Computer Science and Cybernetics Pub Date : 2023-06-12 DOI: 10.15625/1813-9663/18025

Thi Bich Diep Nguyen, Trung-Nghia Phung, T. Vu

引用次数: 0

ADAPT-TTS: HIGH-QUALITY ZERO-SHOT MULTI-SPEAKER TEXT-TO-SPEECH ADAPTIVE-BASED FOR VIETNAMESE adapt - ts:高质量的零射击多扬声器文本到语音自适应越南语

Journal of Computer Science and Cybernetics Pub Date : 2023-06-12 DOI: 10.15625/1813-9663/18136

Phuong Pham Ngoc, Chung Tran Quang, Mai Luong Chi

{"title":"ADAPT-TTS: HIGH-QUALITY ZERO-SHOT MULTI-SPEAKER TEXT-TO-SPEECH ADAPTIVE-BASED FOR VIETNAMESE","authors":"Phuong Pham Ngoc, Chung Tran Quang, Mai Luong Chi","doi":"10.15625/1813-9663/18136","DOIUrl":"https://doi.org/10.15625/1813-9663/18136","url":null,"abstract":"Current adaptive-based speech synthesis techniques are based on two main streams: 1. Fine-tuning the model using small amounts of adaptive data, and 2. Conditionally training the entire model through a speaker embedding of the target speaker. However, both of these methods require adaptive data to appear during training, which makes the training cost to generate new voices quite expensively. In addition, the traditional TTS model uses a simple loss function to reproduce the acoustic features. However, this optimization is based on incorrect distribution assumptions leading to noisy composite audio results. We introduce the Adapt-TTS model that allows high-quality audio synthesis from a small adaptive sample without training to solve these problems. Key recommendations: 1. The Extracting Mel-vector (EMV) architecture allows for a better representation of speaker characteristics and speech style; 2. An improved zero-shot model with a denoising diffusion model (Mel-spectrogram denoiser) component allows for new voice synthesis without training with better quality (less noise). The evaluation results have proven the model's effectiveness when only needing a single utterance (1-3 seconds) of the reference speaker, the synthesis system gave high-quality synthesis results and achieved high similarity.","PeriodicalId":15444,"journal":{"name":"Journal of Computer Science and Cybernetics","volume":"5 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79513707","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

OPTIMAL TRACKING CONTROL FOR ROBOT MANIPULATORS WITH INPUT CONSTRAINT BASED REINFORCEMENT LEARNING 基于输入约束的强化学习机器人机械臂最优跟踪控制

Journal of Computer Science and Cybernetics Pub Date : 2023-06-12 DOI: 10.15625/1813-9663/18099

N. D. Dien, Luy Tan Nguyen, L. Lãi, Tran Thanh Hai

引用次数: 0

OPTIMAL TRACKING CONTROL FOR ROBOT MANIPULATORS WITH ASYMMETRIC SATURATION TORQUES BASED ON REINFORCEMENT LEARNING 基于强化学习的非对称饱和转矩机器人最优跟踪控制

Journal of Computer Science and Cybernetics Pub Date : 2023-03-29 DOI: 10.15625/1813-9663/17641

N. D. Dien, Luy Tan Nguyen, L. Lãi

{"title":"OPTIMAL TRACKING CONTROL FOR ROBOT MANIPULATORS WITH ASYMMETRIC SATURATION TORQUES BASED ON REINFORCEMENT LEARNING","authors":"N. D. Dien, Luy Tan Nguyen, L. Lãi","doi":"10.15625/1813-9663/17641","DOIUrl":"https://doi.org/10.15625/1813-9663/17641","url":null,"abstract":"This paper introduces an optimal tracking controller for robot manipulators with asymmetrically saturated torques and partially - unknown dynamics based on a reinforcement learning method using a neural network. Firstly, the feedforward control inputs are designed based on the backstepping technique to convert the tracking control problem into the optimal tracking control problem. Secondly, a cost function of the system with asymmetrically saturated input is defined, and the constrained Hamilton-Jacobi-Bellman equation is built, which is solved by the online reinforcement learning algorithm using only a single neural network. Then, the asymmetric saturation optimal control rule is determined. Additionally, the concurrent learning technique is used to relax the demand for the persistence of excitation conditions. The built algorithm ensures that the closed-loop system is asymptotically stable, the approximation error is uniformly ultimately bounded (UUB), and the cost function converges to the near-optimal value. Finally, the effectiveness of the proposed algorithm is shown through comparative simulations.","PeriodicalId":15444,"journal":{"name":"Journal of Computer Science and Cybernetics","volume":"62 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77725625","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

ADAPTIVE NONSINGULAR TERMINAL SLIDING MODE CONTROL FOR MANIPULATOR ROBOT 机械手的自适应非奇异终端滑模控制

Journal of Computer Science and Cybernetics Pub Date : 2023-03-14 DOI: 10.15625/1813-9663/18081

M. Long, Tran Huu Toan, Tran Van Hung, T. Anh, Nguyen Hoang Hieu, Nguyen Thi Phuong Ha

引用次数: 0

A NOVEL METHOD FOR WEATHER NOWCASTING BASED ON SPATIAL COMPLEX FUZZY INFERENCE WITH MULTIPLE BAND INPUT DATA 基于空间复杂模糊推理的多波段天气近预报新方法

Journal of Computer Science and Cybernetics Pub Date : 2023-03-14 DOI: 10.15625/1813-9663/18028

Nguyen Trung Tuan, L. Giang, Pham Huy Thong, N. Luong, Le Minh Tuan, UY Nguyenquoc, Le Minh Hoang

引用次数: 0

ONE-CLASS FUSION-BASED LEARNING MODEL FOR ANOMALY DETECTION 基于一类融合的异常检测学习模型

Journal of Computer Science and Cybernetics Pub Date : 2023-03-03 DOI: 10.15625/1813-9663/16675

Cong Thanh Bui, V. Cao, Minh Hoang, Quang Uy Nguyen

{"title":"ONE-CLASS FUSION-BASED LEARNING MODEL FOR ANOMALY DETECTION","authors":"Cong Thanh Bui, V. Cao, Minh Hoang, Quang Uy Nguyen","doi":"10.15625/1813-9663/16675","DOIUrl":"https://doi.org/10.15625/1813-9663/16675","url":null,"abstract":"The Dempster-Shafer (DS) theory of evidence is frequently used to combine multipe supervised machine learning models into a robust fusion-based model. However, using the DS theory to create a fusion model from multiple one-class classifications (OCCs) for network anomaly detection is a challenging task. First, the lack of attack data leads to the difficulty in estimating an appropriate threshold for the OCC models to distinguish between normal and abnormal samples. Second, it is also very challenging to find the weight of OCCs that corresponds to the contribution of each OCC model in the fusion model. In this paper, we attempt to solve the above issues in order to make the DS theory applicable for constructing OCC-based fusion models. Specifically, we propose two novel methods for automatically choosing the appropriate threshold of OCCs and for estimating the weight of individual OCCs in fusion-based models. Thanks to that, we develop an One-class Fusion-based Anomaly Detection model (OFuseAD) from multiple single OCCs. The proposed model is evaluated on ten well-known network anomaly detection problems. The experimental results show that the performance of OFuseAD is improved on almost all tested datasets using two metrics: accuray and F1-score. The visualization results provides the insight into the characteristics of OFuseAD.","PeriodicalId":15444,"journal":{"name":"Journal of Computer Science and Cybernetics","volume":"67 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86077271","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

LSTM-BASED SERVER AND ROUTE SELECTION IN DISTRIBUTED AND HETEROGENEOUS SDN NETWORK 分布式异构SDN网络中基于lstm的服务器与路由选择

Journal of Computer Science and Cybernetics Pub Date : 2023-03-03 DOI: 10.15625/1813-9663/17591

Nam-Thang Hoang, V. Tong, H. Tran, Cong-Son Duong, Tran-Le-Tuan Nguyen

{"title":"LSTM-BASED SERVER AND ROUTE SELECTION IN DISTRIBUTED AND HETEROGENEOUS SDN NETWORK","authors":"Nam-Thang Hoang, V. Tong, H. Tran, Cong-Son Duong, Tran-Le-Tuan Nguyen","doi":"10.15625/1813-9663/17591","DOIUrl":"https://doi.org/10.15625/1813-9663/17591","url":null,"abstract":"Today, the Software-defined Network, with its advantages such as greater reliability via automation, more efficient network management, cost-savings, and faster scalability, is increasingly being deployed in many network systems and network operators. The most common deployment architecture is a distributed system with the existence of many independent domains, each controlled by an SDN controller. One of the well-known applications in SDN is server selection and routing. However, deploying server and route selection in distributed and heterogeneous SDN networks faces two issues. First, the lack of global views of the whole system is because the inter-communication between SDN domains has not been standardized for the distributed and heterogeneous SDN network. To solve this issue, we use our previous work, an open East-West interface called SINA, to adaptively guarantee the network state consistency of the distributed SDN network with multiple domains. Secondly, selecting the path for packet transmission based only on the current network states of a local SDN domain is ineffective as it can bring over-utilization to several links and under-utilization to others. Predicting the link cost of the whole path from the source to the destination is necessary. Therefore, this paper proposes an LSTM-based link cost prediction for the server and route selection mechanism in a distributed and heterogeneous SDN network. The experimental results show that our proposal improves up to 15% of link utilization, reduces 10% of packet loss, and obtains the lowest servers’response time compared to benchmarks","PeriodicalId":15444,"journal":{"name":"Journal of Computer Science and Cybernetics","volume":"6 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83627460","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0