2023 Sixth International Symposium on Computer, Consumer and Control (IS3C)最新文献_第4页

Optimizing Weighted Permutation in Support Vector Machine for the Detection of Epilepsy via EEG Data Analysis 基于EEG数据分析的支持向量机加权排列优化癫痫检测

2023 Sixth International Symposium on Computer, Consumer and Control (IS3C) Pub Date : 2023-06-01 DOI: 10.1109/is3c57901.2023.00100

I. Wahyono, Shih-Chung Chen

{"title":"Optimizing Weighted Permutation in Support Vector Machine for the Detection of Epilepsy via EEG Data Analysis","authors":"I. Wahyono, Shih-Chung Chen","doi":"10.1109/is3c57901.2023.00100","DOIUrl":"https://doi.org/10.1109/is3c57901.2023.00100","url":null,"abstract":"Epileptic seizures can range from short periods to violent shaking over long periods. Epilepsy is a disease that tends to occur repeatedly and cannot be cured. However, the occurrence of epileptic seizures can be controlled through medication. This study tried to detect epilepsy features via electroencephalogram (EEG) data analysis. The EEG data is divided into several windows using segmentation or decomposition. EEG Data will be extracted from each window using a modified Weighted Permutation Entropy (WPE) to produce one feature per window where the number of features of each EEG data will equal the number of windows obtained in the EEG data recording process. This research used k-fold cross-validation by dividing the data into training and testing data, classified using a Support Vector Machine. The EEG database used in this study came from Temple University Hospital EEG (TUH EEG), obtained online with as much as 1500 data. This EEG database consists of epileptic seizures (set 1) and non-epileptic seizures (sets 2, 3, 4, 5), each with 300 data. Based on testing, using this method produces an average accuracy of 81.29%.","PeriodicalId":142483,"journal":{"name":"2023 Sixth International Symposium on Computer, Consumer and Control (IS3C)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125108388","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

Analyzing the 3D Image Characteristics for a Pile of Hex Nuts using the Depth from Focus Method 用聚焦深度法分析一堆六角螺母的三维图像特征

2023 Sixth International Symposium on Computer, Consumer and Control (IS3C) Pub Date : 2023-06-01 DOI: 10.1109/IS3C57901.2023.00065

Sheng-Cong You, Cheng-Yu Peng

引用次数: 0

Control of Underactuated Dynamics in Active Tuned Mass Damper Systems* 主动调谐质量阻尼系统欠驱动动力学控制*

2023 Sixth International Symposium on Computer, Consumer and Control (IS3C) Pub Date : 2023-06-01 DOI: 10.1109/IS3C57901.2023.00080

A. Huang, Jen-Hao Cheng

引用次数: 0

Transforming Chronic Disease Management with Chatbots: Key Use Cases for Personalized and Cost-effective Care 用聊天机器人改变慢性病管理:个性化和成本效益护理的关键用例

2023 Sixth International Symposium on Computer, Consumer and Control (IS3C) Pub Date : 2023-06-01 DOI: 10.1109/IS3C57901.2023.00104

Ahshanul Haque, Md. Naseef-Ur-Rahman Chowdhury, H.S. Soliman

{"title":"Transforming Chronic Disease Management with Chatbots: Key Use Cases for Personalized and Cost-effective Care","authors":"Ahshanul Haque, Md. Naseef-Ur-Rahman Chowdhury, H.S. Soliman","doi":"10.1109/IS3C57901.2023.00104","DOIUrl":"https://doi.org/10.1109/IS3C57901.2023.00104","url":null,"abstract":"Globally, the problem of chronic diseases like diabetes, hypertension, and heart disease is getting worse. These diseases have a significant impact on patients and healthcare systems. Innovative technologies like chatbots, which promise to improve the management of chronic diseases, have emerged as potential solutions to these difficulties. Chatbots are man-made brainpower (artificial intelligence) programs that can recreate discussions with people and give customized and practical consideration. The primary purposes of this study are to investigate the most important applications of chatbots in the management of chronic diseases, including personalized education, symptom monitoring, medication management, and lifestyle coaching. In addition, it discusses the potential advantages and disadvantages of chatbots in the management of chronic diseases, including the need for human oversight, data privacy, and patient engagement. The paper concludes that, although chatbots have the potential to transform the management of chronic diseases by providing personalized and cost-effective care, careful consideration of ethical, legal, and regulatory frameworks is required for their integration into healthcare systems.","PeriodicalId":142483,"journal":{"name":"2023 Sixth International Symposium on Computer, Consumer and Control (IS3C)","volume":"120 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122859855","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: 3

Joint Transmit and Reflecting Beamforming Design in IRS-Assisted mmWave MU-MISO Systems with ZF-Assisted SA Algorithm 基于zf辅助SA算法的红外辅助毫米波MU-MISO系统联合发射与反射波束形成设计

2023 Sixth International Symposium on Computer, Consumer and Control (IS3C) Pub Date : 2023-06-01 DOI: 10.1109/IS3C57901.2023.00090

Cheng-Chih Chao, Nien-Chi Hung, Jung-Chieh Chen

引用次数: 0

Hydraulic System Failure Prediction Method with Limited Failure Data 基于有限失效数据的液压系统失效预测方法

2023 Sixth International Symposium on Computer, Consumer and Control (IS3C) Pub Date : 2023-06-01 DOI: 10.1109/IS3C57901.2023.00053

Cheng-Hui Chen, Y. Chan, Shyr-Shen Yu

引用次数: 0

Reducing Computational Requirements of Image Dehazing Using Super-Resolution Networks 利用超分辨率网络降低图像去雾的计算需求

2023 Sixth International Symposium on Computer, Consumer and Control (IS3C) Pub Date : 2023-06-01 DOI: 10.1109/IS3C57901.2023.00094

Shyang-En Weng, Yan-Gu Ye, Ying-Cheng Lin, S. Miaou

引用次数: 0

Remarks on a Nonlinear Model Predictive Control Using an Echo State Network 基于回声状态网络的非线性模型预测控制研究

2023 Sixth International Symposium on Computer, Consumer and Control (IS3C) Pub Date : 2023-06-01 DOI: 10.1109/IS3C57901.2023.00081

Kazuhiko Takahashi, Miku Sasaki, R. Kimura, M. Hashimoto

引用次数: 0

Modeling of a Motor-driven Propeller Dynamics System by Neural Ordinary Differential Equation 基于神经常微分方程的电机驱动螺旋桨动力学系统建模

2023 Sixth International Symposium on Computer, Consumer and Control (IS3C) Pub Date : 2023-06-01 DOI: 10.1109/IS3C57901.2023.00082

Chao-Chung Peng, Yi-Ho Chen

{"title":"Modeling of a Motor-driven Propeller Dynamics System by Neural Ordinary Differential Equation","authors":"Chao-Chung Peng, Yi-Ho Chen","doi":"10.1109/IS3C57901.2023.00082","DOIUrl":"https://doi.org/10.1109/IS3C57901.2023.00082","url":null,"abstract":"In recent years, the prosperous development of neural network-related technologies has solved lots of problems in the real world, including text generation, image processing and object recognition. Fewer studies are used for system dynamics modeling, simulation, and identification. To simulate the transient response of a dynamical system, most of the studies applied recurrent neural network (RNN), which uses feedback connections to consider the influence of past state when computing current state. However, it still needs a much larger structure relative to the order of the system dynamics for neural network to have a good fitting performance. To reduce the model complexity and increase the accuracy, this paper presents a data-driven based modeling for a motor-driven propeller system by applying the neural ordinary differential equation (i.e., neural ODE). It is worthy to note that the neural ODE builds a continuous-time model for system identification, which can reduce large amount of memory demands to store the past states generated by the RNN. By comparing with the exact physical model, the discrete-time RNN, and the nonlinear autoregressive with exogenous (NARX) model, numerical simulations show that the proposed neural ODE model gives the best fitting results in the presence of measurement noise.","PeriodicalId":142483,"journal":{"name":"2023 Sixth International Symposium on Computer, Consumer and Control (IS3C)","volume":"131 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121538795","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

Performance Evaluation of Indonesian Language Forced Alignment Using Montreal Forced Aligner 使用蒙特利尔强制对齐器对印尼语强制对齐的性能评价

2023 Sixth International Symposium on Computer, Consumer and Control (IS3C) Pub Date : 2023-06-01 DOI: 10.1109/IS3C57901.2023.00051

G. M. Rahmatullah, S. Ruan

{"title":"Performance Evaluation of Indonesian Language Forced Alignment Using Montreal Forced Aligner","authors":"G. M. Rahmatullah, S. Ruan","doi":"10.1109/IS3C57901.2023.00051","DOIUrl":"https://doi.org/10.1109/IS3C57901.2023.00051","url":null,"abstract":"Manual segmentation is crucial for aligning words or phonemes between speech signals and their transcription. It is used in many applications, such as speech recognition, speaker diarization, and speech synthesis. However, because manual segmentation can be laborious and time-consuming, forced alignment algorithms are used to automate the process by aligning the speech audio to its corresponding text transcription at the phoneme or word level. To overcome this problem, one of the solutions is a forced alignment tool called Montreal Force Aligner. This tool has two requirements: a language acoustic model and a corresponding language dictionary. The challenges are determining a suitable recipe for training the model and achieving a good alignment with minimum error. In this study, training and evaluation are conducted for the Indonesian language using the Montreal Forced Aligner. A conversational corpus from a range of five to 30 speakers with various duration between one hour and two hours is used as an input to train the acoustic model. Then, the model is employed to align the conversational Indonesian corpus using the ASR-INDOCSC test set. Our findings include a recommendation training strategy for developing an Indonesian language acoustic model using the Montreal Forced Aligner tool, which measures the number of speakers and hours required.","PeriodicalId":142483,"journal":{"name":"2023 Sixth International Symposium on Computer, Consumer and Control (IS3C)","volume":"46 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123410011","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