Pub Date : 2019-07-01DOI: 10.1109/ICEAST.2019.8802599
Urairat Makchan, P. Pornphol
Nowadays, data can be compared as a weapon. Any agency or organization has information that is well managed and be able to transform that data into use like having a weapon that can fight. However, the data must have reliable and up-to-date and meet the needs of users. Management Information System is a collection of data, processing, and creation of an information system to help with the decision-making; coordination and control. It allows administrators to provide data for the benefit of operation or planning analysis of effective information system management in the organization. This paper presents the development of the Phuket Mangrove Gastronomy Information System by software engineering and using Power Query in the collection of mangrove plants data on the use of mangrove plant components in cooking from data that has been published online or in other database systems as well as in the form of files stored on the computer to be the main data of the system. The purpose of developing this system is for the collection of mangrove plants data from various published sources to analyze the data in the form of Management Information System as a resource for food scientists or nutritionists to be able to use information from the system to invent new food menus using components of mangrove plants as raw materials because some components of mangrove plants have properties in the treatment of diseases or prevention of various diseases.
{"title":"Phuket Mangrove Gastronomy Information System Development","authors":"Urairat Makchan, P. Pornphol","doi":"10.1109/ICEAST.2019.8802599","DOIUrl":"https://doi.org/10.1109/ICEAST.2019.8802599","url":null,"abstract":"Nowadays, data can be compared as a weapon. Any agency or organization has information that is well managed and be able to transform that data into use like having a weapon that can fight. However, the data must have reliable and up-to-date and meet the needs of users. Management Information System is a collection of data, processing, and creation of an information system to help with the decision-making; coordination and control. It allows administrators to provide data for the benefit of operation or planning analysis of effective information system management in the organization. This paper presents the development of the Phuket Mangrove Gastronomy Information System by software engineering and using Power Query in the collection of mangrove plants data on the use of mangrove plant components in cooking from data that has been published online or in other database systems as well as in the form of files stored on the computer to be the main data of the system. The purpose of developing this system is for the collection of mangrove plants data from various published sources to analyze the data in the form of Management Information System as a resource for food scientists or nutritionists to be able to use information from the system to invent new food menus using components of mangrove plants as raw materials because some components of mangrove plants have properties in the treatment of diseases or prevention of various diseases.","PeriodicalId":188498,"journal":{"name":"2019 5th International Conference on Engineering, Applied Sciences and Technology (ICEAST)","volume":"107 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133291502","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}
Pub Date : 2019-07-01DOI: 10.1109/ICEAST.2019.8802595
K. Meesawat
This article provides an approach to determine synthesis parameters to be used to synthesize khlui-phiang-aw sound. An alternative excitation signal, namely the asymmetrical triangle waveform was proposed. The subtractive filter was designed in the warped frequency domain and was dewarped before use. The warping factors used were depended on the pitch frequencies. Subtractive filters for different pitches requires different warping factors. An amount of wind noise was added to the filtered signal. The synthesis process ended with a lowpass filter that removed the high frequency content from the synthesis signal. The tasks described were implemented using Python and is available on a public repository.
{"title":"A Subtractive Synthesis of Khlui Sound using Asymmetrical Triangle Waveform Excitation Signal and Multi-Factor Warped Filters","authors":"K. Meesawat","doi":"10.1109/ICEAST.2019.8802595","DOIUrl":"https://doi.org/10.1109/ICEAST.2019.8802595","url":null,"abstract":"This article provides an approach to determine synthesis parameters to be used to synthesize khlui-phiang-aw sound. An alternative excitation signal, namely the asymmetrical triangle waveform was proposed. The subtractive filter was designed in the warped frequency domain and was dewarped before use. The warping factors used were depended on the pitch frequencies. Subtractive filters for different pitches requires different warping factors. An amount of wind noise was added to the filtered signal. The synthesis process ended with a lowpass filter that removed the high frequency content from the synthesis signal. The tasks described were implemented using Python and is available on a public repository.","PeriodicalId":188498,"journal":{"name":"2019 5th International Conference on Engineering, Applied Sciences and Technology (ICEAST)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128544075","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}
Pub Date : 2019-07-01DOI: 10.1109/ICEAST.2019.8802577
C. Chantalakhana, Meechai Sriwiboon, Nipon Tiempan, Kritsana Kaewlob
Brake squeal noise of disc and pad brake interaction has been investigated such that the mode coupling is shown as the root cause of the problem. Normal mode analysis of the disc-pad Finite Element (FE) model, is used to study the mode coupling mechanism. The models of the disc and pad have been updated with the modal testing results where the pad lining material treated as orthotropic material and other materials as isotropic. The updated FE models have been assembled and analyzed for their adjacent modes of the shape coupling. The normal mode results have shown well agreed with the dynamometer test results. Two pad designs have been compared to provide the relevant verification of the technique for further use as the investigation tool of mode coupling.
{"title":"Brake Squeal Noise Investigation of Disc-Pad Assembly using Normal Mode Analysis","authors":"C. Chantalakhana, Meechai Sriwiboon, Nipon Tiempan, Kritsana Kaewlob","doi":"10.1109/ICEAST.2019.8802577","DOIUrl":"https://doi.org/10.1109/ICEAST.2019.8802577","url":null,"abstract":"Brake squeal noise of disc and pad brake interaction has been investigated such that the mode coupling is shown as the root cause of the problem. Normal mode analysis of the disc-pad Finite Element (FE) model, is used to study the mode coupling mechanism. The models of the disc and pad have been updated with the modal testing results where the pad lining material treated as orthotropic material and other materials as isotropic. The updated FE models have been assembled and analyzed for their adjacent modes of the shape coupling. The normal mode results have shown well agreed with the dynamometer test results. Two pad designs have been compared to provide the relevant verification of the technique for further use as the investigation tool of mode coupling.","PeriodicalId":188498,"journal":{"name":"2019 5th International Conference on Engineering, Applied Sciences and Technology (ICEAST)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125810996","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}
Pub Date : 2019-07-01DOI: 10.1109/ICEAST.2019.8802601
Rathachai Chawuthai, T. Threepak
A Global Positioning System (GPS) tracker installed in a vehicle is commonly used to improve logistics management processes and transportation safety. All GPS trackers must send data including locations, timestamps, and speeds to a server all the time. In case of a device failure, it can be checked by incomplete data; however, a device's sensor inaccuracy, which can create negative consequences to many parties, becomes a challenging issue to detect. With this reason, this paper aims to adopt data visualization to find out the defect of GPS trackers. It has been found that some defects noticed by a visualization were reported, and providers got advantage of this result to maintain their devices.
{"title":"Defect Detection of GPS Trackers through Data Visualization","authors":"Rathachai Chawuthai, T. Threepak","doi":"10.1109/ICEAST.2019.8802601","DOIUrl":"https://doi.org/10.1109/ICEAST.2019.8802601","url":null,"abstract":"A Global Positioning System (GPS) tracker installed in a vehicle is commonly used to improve logistics management processes and transportation safety. All GPS trackers must send data including locations, timestamps, and speeds to a server all the time. In case of a device failure, it can be checked by incomplete data; however, a device's sensor inaccuracy, which can create negative consequences to many parties, becomes a challenging issue to detect. With this reason, this paper aims to adopt data visualization to find out the defect of GPS trackers. It has been found that some defects noticed by a visualization were reported, and providers got advantage of this result to maintain their devices.","PeriodicalId":188498,"journal":{"name":"2019 5th International Conference on Engineering, Applied Sciences and Technology (ICEAST)","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121196260","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}
Pub Date : 2019-07-01DOI: 10.1109/ICEAST.2019.8802556
Savath Nouphengdy, S. Pathoumvanh, Phoumy Indahak, K. Southisombath
This research studied the quantities of harmonics cause from the inverter applications, which were used widely in the residential, and farm. Harmonics were considered as non-pure sine waveform that could be affected to the other near by electrical equipment such as additional heating and higher dielectric stress on the capacitors, interruption capability of circuit breakers, the skin effect of the conductors, measurement errors, pulsating torque and noise on rotating machines. Therefore, this paper proposed a process for the harmonic monitoring from the inverter by detecting the signal of current waveform and voltage waveform; The sensors and microprocessor is used to detect the harmonic components, then the Fast Fourier Transform (FFT) is calculated and estimated the harmonic of the spectrum of the order 3, 5, 7, and 9. As the results, the accuracy of measurement is normally related to the percent of Total Harmonic Distortion (THD) of the signal. Which can be concluded that, the average error of THDi is approximately 9.41% when compare to the reference digital meter UNI-T UA28T.
{"title":"The investigated on Harmonic Monitoring for the Inverter Applications by using Microprocessor","authors":"Savath Nouphengdy, S. Pathoumvanh, Phoumy Indahak, K. Southisombath","doi":"10.1109/ICEAST.2019.8802556","DOIUrl":"https://doi.org/10.1109/ICEAST.2019.8802556","url":null,"abstract":"This research studied the quantities of harmonics cause from the inverter applications, which were used widely in the residential, and farm. Harmonics were considered as non-pure sine waveform that could be affected to the other near by electrical equipment such as additional heating and higher dielectric stress on the capacitors, interruption capability of circuit breakers, the skin effect of the conductors, measurement errors, pulsating torque and noise on rotating machines. Therefore, this paper proposed a process for the harmonic monitoring from the inverter by detecting the signal of current waveform and voltage waveform; The sensors and microprocessor is used to detect the harmonic components, then the Fast Fourier Transform (FFT) is calculated and estimated the harmonic of the spectrum of the order 3, 5, 7, and 9. As the results, the accuracy of measurement is normally related to the percent of Total Harmonic Distortion (THD) of the signal. Which can be concluded that, the average error of THDi is approximately 9.41% when compare to the reference digital meter UNI-T UA28T.","PeriodicalId":188498,"journal":{"name":"2019 5th International Conference on Engineering, Applied Sciences and Technology (ICEAST)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131179247","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}
Pub Date : 2019-07-01DOI: 10.1109/ICEAST.2019.8802558
Werawat Chewpanyanun, M. Matsumae, T. Horie, Kuroda Kagayaki
Heat transfer rate(HTR) is one of the critical issues in controlling the brain tissue temperature under laser irradiation for tumor ablation. To map heat transfer rate in the brain, in this research, cerebral blood flow (CBF) maps were obtained using tissue residue curves of dynamic susceptibility contrast magnetic resonance imaging (DSC-MRI) with gadolinium (Gd) contrast agent. Once CBF maps were obtained the heat transfer rate of the tissue was mapped at various tissue temperature. The DSC-MRI measurements were performed for patients with glioblastoma ($mathrm{N} = 2$), meningioma ($mathrm{N}=2$). The perfusion rates in the brain normal parenchyma obtained from CBF maps for the subjects agreed well with the values shown in the database. In the glioblastoma cases, CBF values in the tumor region was relatively low and diffused compared with those in the meningioma cases, in which rich vascular beds are contained in the tumor. The HTR maps were then calculated for 40 to 45 °C for all the subjects. The resultant maps clearly showed the degree of HTR in the unit of watt per cubic meter. From the maps, it was suggested that the heating effect is higher in glioblastoma than in meningioma, and that the HTR data here may be applicable to simulate the temperature distribution in the tissue based on the bio-heat transfer equation.
{"title":"Visualization of Temperature and Heat Transfer in Human Brain based on Magnetic Resonance","authors":"Werawat Chewpanyanun, M. Matsumae, T. Horie, Kuroda Kagayaki","doi":"10.1109/ICEAST.2019.8802558","DOIUrl":"https://doi.org/10.1109/ICEAST.2019.8802558","url":null,"abstract":"Heat transfer rate(HTR) is one of the critical issues in controlling the brain tissue temperature under laser irradiation for tumor ablation. To map heat transfer rate in the brain, in this research, cerebral blood flow (CBF) maps were obtained using tissue residue curves of dynamic susceptibility contrast magnetic resonance imaging (DSC-MRI) with gadolinium (Gd) contrast agent. Once CBF maps were obtained the heat transfer rate of the tissue was mapped at various tissue temperature. The DSC-MRI measurements were performed for patients with glioblastoma ($mathrm{N} = 2$), meningioma ($mathrm{N}=2$). The perfusion rates in the brain normal parenchyma obtained from CBF maps for the subjects agreed well with the values shown in the database. In the glioblastoma cases, CBF values in the tumor region was relatively low and diffused compared with those in the meningioma cases, in which rich vascular beds are contained in the tumor. The HTR maps were then calculated for 40 to 45 °C for all the subjects. The resultant maps clearly showed the degree of HTR in the unit of watt per cubic meter. From the maps, it was suggested that the heating effect is higher in glioblastoma than in meningioma, and that the HTR data here may be applicable to simulate the temperature distribution in the tissue based on the bio-heat transfer equation.","PeriodicalId":188498,"journal":{"name":"2019 5th International Conference on Engineering, Applied Sciences and Technology (ICEAST)","volume":"82 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115757673","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}
Pub Date : 2019-07-01DOI: 10.1109/ICEAST.2019.8802597
P. Phoummavong, S. Kanthavong, H. Ishii
Recently, Ad-hoc Network is a decentralized network which is used to commute information with each other node without a centralized system such as IoT, wireless sensor devices. The mechanism of the Ad-hoc network is a routing protocol which is used to find the best routing path. However, the traditional approaches probably are taken the high energy consumption. For this purpose, this research addresses the problem of routing protocol when a source sends information to a destination with high energy consumption. The idea of this proposal is improving routing method based on greedy forwarding protocol with three-hop. In detail, the proposed approach defines the appropriate path by setting switching nodes to get the routing path and relay information with low energy consumption. To show more details, in this paper will demonstrate the performance of proposed approach compared with other methods such as Nearest with Forwarding Selection, Random Forwarding Selection and Most Forward with Radius and greedy forwarding base on two-hop by using simulation.
{"title":"Reducing Energy Consumption by using Greedy Three-hop Information over Ad-hoc Network","authors":"P. Phoummavong, S. Kanthavong, H. Ishii","doi":"10.1109/ICEAST.2019.8802597","DOIUrl":"https://doi.org/10.1109/ICEAST.2019.8802597","url":null,"abstract":"Recently, Ad-hoc Network is a decentralized network which is used to commute information with each other node without a centralized system such as IoT, wireless sensor devices. The mechanism of the Ad-hoc network is a routing protocol which is used to find the best routing path. However, the traditional approaches probably are taken the high energy consumption. For this purpose, this research addresses the problem of routing protocol when a source sends information to a destination with high energy consumption. The idea of this proposal is improving routing method based on greedy forwarding protocol with three-hop. In detail, the proposed approach defines the appropriate path by setting switching nodes to get the routing path and relay information with low energy consumption. To show more details, in this paper will demonstrate the performance of proposed approach compared with other methods such as Nearest with Forwarding Selection, Random Forwarding Selection and Most Forward with Radius and greedy forwarding base on two-hop by using simulation.","PeriodicalId":188498,"journal":{"name":"2019 5th International Conference on Engineering, Applied Sciences and Technology (ICEAST)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115441509","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}
Pub Date : 2019-07-01DOI: 10.1109/ICEAST.2019.8802548
Rui Zhang, B. Ni
Due to the diversity of human behavior, scene noise, camera view angle and other characteristics, the difficulty of recognizing human behavior has increased. Nowadays, there are more and more problems, such as low learning efficiency or excessive mental pressure. To a large extent, these problems are caused by an unreasonable distribution of work and rest. Therefore, this paper proposes a learning behavior recognition method based on the structure of 3D convolutional neural networks (CNN). This involves taking several continuous frames of video as a group, through effective training, after the convolution and pooling operation to extract the action information in the features. Finally, the recognition and classification results are obtained through the full connection layer and the classifier. The experimental results show that this method is accurate and fast. Taking the KTH dataset as an example, the methods of improving test accuracy under different parameters were compared and discussed, which provided a theoretical basis for learning behavior dataset recognition.
{"title":"Learning Behavior Recognition and Analysis by Using 3D Convolutional Neural Networks","authors":"Rui Zhang, B. Ni","doi":"10.1109/ICEAST.2019.8802548","DOIUrl":"https://doi.org/10.1109/ICEAST.2019.8802548","url":null,"abstract":"Due to the diversity of human behavior, scene noise, camera view angle and other characteristics, the difficulty of recognizing human behavior has increased. Nowadays, there are more and more problems, such as low learning efficiency or excessive mental pressure. To a large extent, these problems are caused by an unreasonable distribution of work and rest. Therefore, this paper proposes a learning behavior recognition method based on the structure of 3D convolutional neural networks (CNN). This involves taking several continuous frames of video as a group, through effective training, after the convolution and pooling operation to extract the action information in the features. Finally, the recognition and classification results are obtained through the full connection layer and the classifier. The experimental results show that this method is accurate and fast. Taking the KTH dataset as an example, the methods of improving test accuracy under different parameters were compared and discussed, which provided a theoretical basis for learning behavior dataset recognition.","PeriodicalId":188498,"journal":{"name":"2019 5th International Conference on Engineering, Applied Sciences and Technology (ICEAST)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121732452","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}
Pub Date : 2019-07-01DOI: 10.1109/ICEAST.2019.8802606
C. Supunyachotsakul, N. Suksangpanya
Classifying features from satellite images has been a time-consuming manual process which requires lots of manpower. This work exploits deep convolutional decoder encoder neural network, to develop an algorithm that can automatically classify the extents of the Pararubber tree growing areas from the LANDSAT-8 images. The classification resulted from this approach was verified. In conclusion, the classification accuracy achieved is at 86.90% with Cohen's kappa at 73.80% which is considered satisfactory.
{"title":"Automatic Classification of Pararubber Trees in Thailand from LANDSAT-8 Images using Neural Networks Method","authors":"C. Supunyachotsakul, N. Suksangpanya","doi":"10.1109/ICEAST.2019.8802606","DOIUrl":"https://doi.org/10.1109/ICEAST.2019.8802606","url":null,"abstract":"Classifying features from satellite images has been a time-consuming manual process which requires lots of manpower. This work exploits deep convolutional decoder encoder neural network, to develop an algorithm that can automatically classify the extents of the Pararubber tree growing areas from the LANDSAT-8 images. The classification resulted from this approach was verified. In conclusion, the classification accuracy achieved is at 86.90% with Cohen's kappa at 73.80% which is considered satisfactory.","PeriodicalId":188498,"journal":{"name":"2019 5th International Conference on Engineering, Applied Sciences and Technology (ICEAST)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125147028","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}
Pub Date : 2019-07-01DOI: 10.1109/ICEAST.2019.8802592
C. Sodsri
Musical note similarities are usually verified by subjective tests and timbre comparisons. However, for one with no background in frequency analysis and without spectral clue in spectral comparison, it might not be easy for one to see how similar two sounds are. This work proposed a simple index for similarity measurement of musical notes, based on psychoacoustics of pitch and loudness perception, called musical note similarity index (MNSI). It was intended to use as a clue for spectral comparison and defined as a subtraction inverse of normalized summation of penalty weights for each harmonic amplitude and frequency exceeding the just noticeable differences (JNDs). Experiments were done and results were statistically analyzed. The correlation and t-test analysis showed that the MNSIs were well correlated with the subjective evaluations of sound similarity. Statistically, the Pearson correlation coefficient of the test was 0.9396 with 99% confidence.
{"title":"A Similarity Measure of Musical Notes Based on Psychoacoustics of Loudness and Pitch Perception","authors":"C. Sodsri","doi":"10.1109/ICEAST.2019.8802592","DOIUrl":"https://doi.org/10.1109/ICEAST.2019.8802592","url":null,"abstract":"Musical note similarities are usually verified by subjective tests and timbre comparisons. However, for one with no background in frequency analysis and without spectral clue in spectral comparison, it might not be easy for one to see how similar two sounds are. This work proposed a simple index for similarity measurement of musical notes, based on psychoacoustics of pitch and loudness perception, called musical note similarity index (MNSI). It was intended to use as a clue for spectral comparison and defined as a subtraction inverse of normalized summation of penalty weights for each harmonic amplitude and frequency exceeding the just noticeable differences (JNDs). Experiments were done and results were statistically analyzed. The correlation and t-test analysis showed that the MNSIs were well correlated with the subjective evaluations of sound similarity. Statistically, the Pearson correlation coefficient of the test was 0.9396 with 99% confidence.","PeriodicalId":188498,"journal":{"name":"2019 5th International Conference on Engineering, Applied Sciences and Technology (ICEAST)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130068979","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}
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