Cognitive Computation and Systems最新文献_第7页

Audio recognition of Chinese traditional instruments based on machine learning 基于机器学习的中国传统乐器音频识别

Cognitive Computation and Systems Pub Date : 2022-02-17 DOI: 10.1049/ccs2.12047

Rongfeng Li, Qin Zhang

{"title":"Audio recognition of Chinese traditional instruments based on machine learning","authors":"Rongfeng Li, Qin Zhang","doi":"10.1049/ccs2.12047","DOIUrl":"10.1049/ccs2.12047","url":null,"abstract":"This paper is part of a special issue on Music Technology. We study the type recognition of traditional Chinese musical instrument audio in the common way. Using MEL spectrum characteristics as input, we train an 8-layer convolutional neural network, and finally achieve 99.3% accuracy. After that, this paper mainly studies the performance skill recognition of Chinese traditional musical instruments. Firstly, for a single instrument, the features were extracted by using the pre-trained ResNet model, and then the SVM algorithm was used to classify all the instruments with an accuracy of 99%. Then, in order to improve the generalization of the model, the paper proposes the performance skill recognition of the same kind of instruments. In this way, the regularity of the same playing technique of different instruments can be utilized. Finally, the recognition accuracy of the four kinds of instruments is as follows: 95.7% for blowing instruments, 82.2% for plucked-string instruments, 88.3% for strings instruments, and 97.5% for percussion instruments. We open source the audio database of traditional Chinese musical instruments and the Python source code of the whole experiment for further research.","PeriodicalId":33652,"journal":{"name":"Cognitive Computation and Systems","volume":"4 2","pages":"108-115"},"PeriodicalIF":0.0,"publicationDate":"2022-02-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/ccs2.12047","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130303381","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

Classification and detection using hidden Markov model-support vector machine algorithm based on optimal colour space selection for blood images 基于最优颜色空间选择的隐马尔可夫模型-支持向量机算法的血液图像分类与检测

Cognitive Computation and Systems Pub Date : 2022-02-08 DOI: 10.1049/ccs2.12045

Lei Guo, Yao Wang, Yuan Song, Tengyue Sun

{"title":"Classification and detection using hidden Markov model-support vector machine algorithm based on optimal colour space selection for blood images","authors":"Lei Guo, Yao Wang, Yuan Song, Tengyue Sun","doi":"10.1049/ccs2.12045","DOIUrl":"https://doi.org/10.1049/ccs2.12045","url":null,"abstract":"Patients with cerebral haemorrhages need to drain haematomas. Fresh blood may appear during the haematoma drainage process, so this needs to be observed and detected in real time. To solve this problem, this paper studies images produced during the haematoma drainage process. A blood image feature selection recognition and classification framework is designed. First, aiming at the characteristics of the small colour differences in blood images, the general RGB colour space feature is not obvious. This study proposes an optimal colour channel selection method. By extracting the colour information from the images, it is recombined into a 3 × 3 matrix. The normalised 4-neighbourhood contrast and variance are calculated for quantitative comparison. The optimised colour channel is selected to overcome the problem of weak features caused by a single colour space. After that, the effective region in the image is intercepted, and the best colour channel of the image in the region is transformed. The first, second and third moments of the three best colour channels are extracted to form a nine-dimensional eigenvector. K-means clustering is used to obtain the image eigenvector, outliers are removed, and the results are then transferred to the hidden Markov model (HMM) and support vector machine (SVM) for classification. After selecting the best color channel, the classification accuracy of HMM-SVM is greatly improved. Compared with other classification algorithms, the proposed method offers great advantages. Experiments show that the recognition accuracy of this method reaches 98.9%.","PeriodicalId":33652,"journal":{"name":"Cognitive Computation and Systems","volume":"4 1","pages":"68-76"},"PeriodicalIF":0.0,"publicationDate":"2022-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/ccs2.12045","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"92314250","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Learning to generate emotional music correlated with music structure features 学习产生情感音乐与音乐结构特征相关

Cognitive Computation and Systems Pub Date : 2022-02-04 DOI: 10.1049/ccs2.12037

Lin Ma, Wei Zhong, Xin Ma, Long Ye, Qin Zhang

引用次数: 1

A psychological model for the prediction of energy-relevant behaviours in buildings: Cognitive parameter optimisation 预测建筑中能源相关行为的心理模型:认知参数优化

Cognitive Computation and Systems Pub Date : 2022-02-04 DOI: 10.1049/ccs2.12042

Jörn von Grabe, Sepideh Korsavi

{"title":"A psychological model for the prediction of energy-relevant behaviours in buildings: Cognitive parameter optimisation","authors":"Jörn von Grabe, Sepideh Korsavi","doi":"10.1049/ccs2.12042","DOIUrl":"https://doi.org/10.1049/ccs2.12042","url":null,"abstract":"Energy consumption in buildings is a major contributor to global warming and therefore has become a field of intensive research. This type of energy consumption can be described in two dimensions: an appliance-based dimension and a behaviour-based dimension. To address the behaviour-based dimension a recent study proposed a cognitive human-building interaction model that builds on the instance-based learning paradigm. However, since the values of the standard cognitive parameters commonly used for modelling lab-based behaviours are not suitable for the ‘real-world’ domain of human-building interaction, this paper aims to identify cognitive parameter values adapted to and suitable for the specific character of this application domain. To achieve this goal, a virtual test environment—consisting of an occupied room and a corresponding model task—was designed to test the performance of the model and its dependence on a set of fundamental cognitive parameters. A test criterion was developed that did not depend on empirical data but used the predictive consistency of the model as reference. A range of values was pre-selected for each parameter based on theoretical and empirical considerations, which was then tested against the evaluation criterion. The performance of the model was improved significantly throughout the parametrisation process and yielded plausible results.","PeriodicalId":33652,"journal":{"name":"Cognitive Computation and Systems","volume":"4 1","pages":"45-67"},"PeriodicalIF":0.0,"publicationDate":"2022-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/ccs2.12042","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"92193600","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Childhood epilepsy syndromes classification based on fused features of electroencephalogram and electrocardiogram 基于脑电图和心电图融合特征的儿童癫痫综合征分类

Cognitive Computation and Systems Pub Date : 2022-01-27 DOI: 10.1049/ccs2.12035

Qianlan Yang, Dinghan Hu, Tianlei Wang, Jiuwen Cao, Fang Dong, Weidong Gao, Tiejia Jiang, Feng Gao

{"title":"Childhood epilepsy syndromes classification based on fused features of electroencephalogram and electrocardiogram","authors":"Qianlan Yang, Dinghan Hu, Tianlei Wang, Jiuwen Cao, Fang Dong, Weidong Gao, Tiejia Jiang, Feng Gao","doi":"10.1049/ccs2.12035","DOIUrl":"https://doi.org/10.1049/ccs2.12035","url":null,"abstract":"The paper presents a novel algorithm to classify children's epileptic syndromes based on the fused features of electroencephalogram (EEG) and electrocardiogram (ECG). The purpose is to assess whether multimodal physiological signals could improve the classification performance of epileptic syndromes over a single physiological signal. The study is carried out on the epileptic syndromes database recorded by the Children's Hospital, Zhejiang University School of Medicine (CHZU), that includes the synchronised EEGs and ECGs of 16 children suffered from the infantile spasms (known as the WEST syndrome, named) and the childhood absence epilepsy (CAE), respectively. Experiments are conducted and compared using the EEGs and ECGs in the ictal and interictal periods. The data imbalanced issue between the ictal and interictal periods is also considered by applying a synthetic minority sample generating approach. The experimental results show that using the fused feature of EEG + ECG can achieve an average of 98.15% overall classification accuracy, which is better than using the single physiological signal.","PeriodicalId":33652,"journal":{"name":"Cognitive Computation and Systems","volume":"4 1","pages":"1-10"},"PeriodicalIF":0.0,"publicationDate":"2022-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/ccs2.12035","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"92331767","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Fast Fourier transform and wavelet-based statistical computation during fault in snubber circuit connected with robotic brushless direct current motor 机器人无刷直流电机缓冲电路故障的快速傅立叶变换和小波统计计算

Cognitive Computation and Systems Pub Date : 2022-01-27 DOI: 10.1049/ccs2.12041

Sankha Subhra Ghosh, Surajit Chattopadhyay, Arabinda Das

{"title":"Fast Fourier transform and wavelet-based statistical computation during fault in snubber circuit connected with robotic brushless direct current motor","authors":"Sankha Subhra Ghosh, Surajit Chattopadhyay, Arabinda Das","doi":"10.1049/ccs2.12041","DOIUrl":"https://doi.org/10.1049/ccs2.12041","url":null,"abstract":"The snubber circuit plays an important role in motor drives. This paper deals with the detection of the inverter switch snubber circuit resistance fault (ISSCRF) in brushless direct current (BLDC) motors used for robotic applications. This has been carried out in two parts: Fast-Fourier-Transform-based analysis and wavelet-decomposition-based analysis on the stator current of the BLDC motor. The first analysis investigates the effects of different percentages of ISSCRF on direct current (DC) component, fundamental frequency component and total harmonic distortion percentage. Next analyses consider all of kurtosis, skewness and root-mean-square values of wavelet coefficients of stator current harmonic spectra. Comparative learning is made to obtain a few selective parameters best fit for the detection of ISSCRF. A fault detection algorithm to detect ISSCRF has been proposed and validated by three case studies. The algorithm is again modified with best-fit parameters. Comparative discussion and novel contributions of the work have also been presented.","PeriodicalId":33652,"journal":{"name":"Cognitive Computation and Systems","volume":"4 1","pages":"31-44"},"PeriodicalIF":0.0,"publicationDate":"2022-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/ccs2.12041","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"92331764","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

An improved Monte Carlo localization using optimized iterative closest point for mobile robots 基于优化迭代最近点的移动机器人改进蒙特卡罗定位

Cognitive Computation and Systems Pub Date : 2022-01-27 DOI: 10.1049/ccs2.12040

Wenjian Ying, Shiyan Sun

引用次数: 4

An improved BP neural network-based calibration method for the capacitive flexible three-axis tactile sensor array 一种改进的基于BP神经网络的电容式柔性三轴触觉传感器阵列标定方法

Cognitive Computation and Systems Pub Date : 2022-01-27 DOI: 10.1049/ccs2.12039

Zhikai Hu, Renqiu Xia, Zhongyi Chu

{"title":"An improved BP neural network-based calibration method for the capacitive flexible three-axis tactile sensor array","authors":"Zhikai Hu, Renqiu Xia, Zhongyi Chu","doi":"10.1049/ccs2.12039","DOIUrl":"https://doi.org/10.1049/ccs2.12039","url":null,"abstract":"Flexible tactile sensing based on capacitive sensing has become a research hotspot in recent years because of its low energy consumption, high performance and wide application prospects. However, the axis error caused by the coupling deformation of the dielectric will seriously affect the accuracy of the sensor. In this paper, a capacitive flexible three-axis tactile sensor array is modelled and simulated, and a neural network-based calibrator for the three-axis sensor array is proposed, which can be used to calibrate the simulated measurement data. The simulation results show that even though the correlation coefficient of linear regression for each axis is very close to 1, the effect of dielectric nonlinear coupling distortion cannot be eliminated. The calibration method based on the neural network can effectively suppress the nonlinear coupling distortion of the dielectric, and reduce the measurement coupling rate of the sensor model from 26% to 1%. At the same time, in order to ensure the measurement accuracy and robustness of different units in the sensor array, the input layer of the calibrator is expanded, and the data set containing capacitance information and two-dimensional location information is used for training. The experimental results show that the proposed calibration method combining two-dimensional position information training accurately calibrates the capacitive flexible three-dimensional tactile sensor array.","PeriodicalId":33652,"journal":{"name":"Cognitive Computation and Systems","volume":"4 1","pages":"11-19"},"PeriodicalIF":0.0,"publicationDate":"2022-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/ccs2.12039","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"92331766","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Cross-cultural analysis of the correlation between musical elements and emotion 音乐元素与情感关系的跨文化分析

Cognitive Computation and Systems Pub Date : 2021-09-20 DOI: 10.1049/ccs2.12032

Xin Wang, Yujia Wei, Dasheng Yang

{"title":"Cross-cultural analysis of the correlation between musical elements and emotion","authors":"Xin Wang, Yujia Wei, Dasheng Yang","doi":"10.1049/ccs2.12032","DOIUrl":"10.1049/ccs2.12032","url":null,"abstract":"In a cross-cultural context, exploring musical elements' cultural specificity and universality that affect various types of music is conducive to personalised emotion recognition. In this study, high-level musical elements are introduced to explore their influence on emotional perception. By comparing music emotion recognition (MER) models of varied cultural music, musical elements with cultural universality and cultural specificity are further determined. Participants rated valence, tension arousal, and energy arousal on labelled nine-point analogical–categorical scales for four types of classical music: Chinese ensemble, Chinese solo, Western ensemble, and Western solo. Fifteen musical elements in five categories—timbre, rhythm, articulation, dynamics, and register were annotated through manual evaluation or the automatic algorithm. The relationship between music emotion and musical elements was analysed through partial least squares regression. Results showed that tempo, rhythm complexity, and articulation are culturally universal; musical elements related to timbre, register, and dynamics features are culturally specific. By increasing tempo, rhythm complexity, staccato, perception of valence, tension arousal, and energy arousal can be effectively improved. Based on the Partial least squares regression (PLSR) model's results for the datasets, the combination of manual and automatic annotation for musical elements can improve the MER system's performance.","PeriodicalId":33652,"journal":{"name":"Cognitive Computation and Systems","volume":"4 2","pages":"116-129"},"PeriodicalIF":0.0,"publicationDate":"2021-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/ccs2.12032","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124805022","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Optimization of a GIS sensor layout based on global detection probability distribution evaluation 基于全局检测概率分布评价的GIS传感器布局优化

Cognitive Computation and Systems Pub Date : 2021-09-09 DOI: 10.1049/ccs2.12033

Peijiang Li, Ting You

{"title":"Optimization of a GIS sensor layout based on global detection probability distribution evaluation","authors":"Peijiang Li, Ting You","doi":"10.1049/ccs2.12033","DOIUrl":"10.1049/ccs2.12033","url":null,"abstract":"Gas-insulated switchgear (GIS) is an important power equipment. The implementation of health monitoring is limited by the number of sensors, and the global detection results of the system should be highly credible to ensure the reliability of the power supply system. To solve this problem, this study proposes a sensor layout optimization method based on global detection probability performance evaluation. Starting from the cost function, the GIS discharge detection problem is transformed into a Bayesian risk decision problem, the binary state of ‘with discharge’ and ‘without discharge’ is adopted to simplify the cost function and reduce the computing workload, and the objective function representing the global detection performance of the system is obtained. The solution of layout optimization is realized by the improved genetic algorithm. 3-sensor, 4-sensor and 6-sensor layouts, which are digitally simulated at different detection rates, and then the distribution diagram of the global detection rate is obtained. On this basis, the feasibility and effectiveness of the optimization method are verified through an experiment. The results show that, compared with other sensor layout optimization methods, this optimization method can obtain the correct probability distribution of the detection rate globally and realize the graphical quantization of the detection performance distribution of the system so as to ensure the system performance.","PeriodicalId":33652,"journal":{"name":"Cognitive Computation and Systems","volume":"3 4","pages":"342-350"},"PeriodicalIF":0.0,"publicationDate":"2021-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/ccs2.12033","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133870072","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0