Panittavee Yarnvitayalert, T. Saleewong, Kitiwat Khamwan, S. Bongsebandhu-Phubhakdi
{"title":"A Mathematical Model of 99mTc-ECD Diffusion in Brain for Epileptic Patients","authors":"Panittavee Yarnvitayalert, T. Saleewong, Kitiwat Khamwan, S. Bongsebandhu-Phubhakdi","doi":"10.1109/ICESI.2019.8863025","DOIUrl":"https://doi.org/10.1109/ICESI.2019.8863025","url":null,"abstract":"This research develops diffusion equation to describe behavior of the <tex>$^{99mathrm{m}}text{Tc-ECD}$</tex> diffusion in epileptic patient's brain SPECT image over time. The equation was approximated the numerical solution at steady state by central difference approximation. Then they were compared with the real data around interested point that may be epileptogenic by relative error. In the result, the rate constant of <tex>$^{99mathrm{m}}text{Tc-ECD}$</tex> diffusion in brain area <tex>$D_{1}= 1. 10657$</tex> unit<sup>2</sup>/min and the rate constant of <tex>$^{99mathrm{m}}text{Tc-ECD}$</tex> diffusion in ventricle area <tex>$D_{2}=1$</tex> unit<sup>2</sup>/min that has relative error around 26.81%. The numerical solution show the <tex>$^{99mathrm{m}}text{Tc-ECD}$</tex> diffusion in brain SPECT image is homogeneous diffusion.","PeriodicalId":249316,"journal":{"name":"2019 International Conference on Engineering, Science, and Industrial Applications (ICESI)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115328187","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}
A. Vinaya, Q. M. Arifianti, Nicky Yessica, D. Arifianto, A. S. Aisjah
{"title":"Fault Diagnosis of Water Pump Based on Acoustic Emission Signal Using Fast Fourier Transform Technique and Fuzzy Logic Inference","authors":"A. Vinaya, Q. M. Arifianti, Nicky Yessica, D. Arifianto, A. S. Aisjah","doi":"10.1109/ICESI.2019.8863023","DOIUrl":"https://doi.org/10.1109/ICESI.2019.8863023","url":null,"abstract":"Acoustic emission technique was used to examine four different water pumps in order to monitor the condition. The audio signal from a microphone was captured for the following conditions: normal pump, unbalance, misalignment, and bearing fault. The data were recorded 20 times for each pump. The sampling frequency used was 48 kHz and a measured time duration was 5 s. To execute damaged pattern classification, Fuzzy Inference System was applied and processed data extraction in time and frequency domain. The features in time domain were extracted from audio signal into several parameters, for example Root Mean Square (RMS), Kurtosis, Crest-Factor, Shape-Factor, and Skewness. Meanwhile, frequency domain data was extracted into instantaneous frequency parameter using the Fast Fourier Transform (FFT) approach. The experimental results showed that the classification accuracy yielded 90%. Therefore, the usage of FIS in acoustic emission analysis could potentially detect different fault categories.","PeriodicalId":249316,"journal":{"name":"2019 International Conference on Engineering, Science, and Industrial Applications (ICESI)","volume":"125 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116583363","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}
{"title":"Using Cascade Generalization and Neural Networks to Select Cryotherapy method for Warts","authors":"P. Kraipeerapun, S. Amornsamankul","doi":"10.1109/ICESI.2019.8863021","DOIUrl":"https://doi.org/10.1109/ICESI.2019.8863021","url":null,"abstract":"In this paper, complementary neural networks are applied to cascade generalization. Complementary neural networks comprise two neural networks trained to predict truth and falsity values. Two levels of cascade generalization are implemented in this paper. Two approaches are proposed. First, a neural network is trained in the base level whereas complementary neural networks are trained in meta level of cascade generalization. Second, complementary neural networks are trained in both levels of cascade generalization. The proposed methods are used to select cryotherapy method for wart treatment. The cryotherapy data set is obtained from UCI machine learning repository. Ten-fold cross validation is used in the experiment. The proposed approach gives 98.89% accuracy which higher than the existing methods which are cascade generalization and stacked generalization.","PeriodicalId":249316,"journal":{"name":"2019 International Conference on Engineering, Science, and Industrial Applications (ICESI)","volume":"118 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122322389","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}
{"title":"Chatbot Implementation for ICD-10 Recommendation System","authors":"Noppon Siangchin, T. Samanchuen","doi":"10.1109/ICESI.2019.8863009","DOIUrl":"https://doi.org/10.1109/ICESI.2019.8863009","url":null,"abstract":"ICD-10 coding becomes an essential process to transform descriptions of medical diagnoses and procedures into universal medical code numbers. Because there are a large number of the ICD-10 codes, this process needs an expert or an experienced staff to proceed. However, insufficient of the staffs in this area makes this task become a difficulty for general public health staff. Therefore, a recommendation system by using chatbot technology is proposed in this work. This system is implemented by using a messaging application with auxiliary Natural Language Processing (NLP) library. The system was compared with the conventional ICD-10 application by using Analytic Hierarchy Process (AHP). The evaluation result shows that the proposed chatbot can perform an effective solution for selecting ICD-10 code. In addition, it also shows that the proposed chatbot is preferable to be applied in the ICD-10 application.","PeriodicalId":249316,"journal":{"name":"2019 International Conference on Engineering, Science, and Industrial Applications (ICESI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129834839","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}
Tobias Glaessel, J. Seefried, M. Masuch, A. Riedel, A. Mayr, A. Kuehl, J. Franke
{"title":"Process Reliable Laser Welding of Hairpin Windings for Automotive Traction Drives","authors":"Tobias Glaessel, J. Seefried, M. Masuch, A. Riedel, A. Mayr, A. Kuehl, J. Franke","doi":"10.1109/ICESI.2019.8863004","DOIUrl":"https://doi.org/10.1109/ICESI.2019.8863004","url":null,"abstract":"Driven by current developments in the electrification of the automotive drive chain, new technologies for the production of windings for electric drives are focused in automotive industry and research institutes. Especially for the manufacturing of drives with high power density for battery electric vehicles (BEV), the application of distributed windings produced from conductors with rectangular cross-sections gains in importance. To be able to manufacture these windings, hairpin technology is pushed forward at present. The essential feature of this kind of winding is that it consists of pre-formed elements, the so called hairpins, that are assembled to the stator laminations and contacted afterwards to produce the winding. One key process within the production chain for this kind of winding is the contacting operation, because a high number of contacts needs to be realized. However, this production step poses several challenges for which in particular laser welding processes show potentials. Another complication is the fact that no established methods for the quantification of the quality of these joints are available at present. In addition, the suitability of the laser welding process for this application must be proven and error influencing variables must be identified in order to be able to advance the serial application of this process. For that reason in this paper quality criteria from the requirements contacts in electric traction drives have to face are analysed. Based on these, the achievable process capability is evaluated and the welding strategy is optimized.","PeriodicalId":249316,"journal":{"name":"2019 International Conference on Engineering, Science, and Industrial Applications (ICESI)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116987325","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}
{"title":"Dynamic Characteristic Modeling and Simulation for a Fiber-optic Gyroscope Integration System","authors":"Shihming Chen, Tsu-Pin Lin, Yucheng Shih, T. Hsu","doi":"10.1109/ICESI.2019.8863032","DOIUrl":"https://doi.org/10.1109/ICESI.2019.8863032","url":null,"abstract":"Fiber-optic gyroscopes (FOGs) are widely applied because they have several advantages such as simple structure, no moving components, short initiation time, and high sensitivity. FOGs can indicted heading, altitude, position, speed, and acceleration accurately and are thus useful in navigation and aviation. Transmission errors resulting from mechanical vibration of the carrier and structural resonance prevent FOGs from displaying precise positioning during inertial navigation. This study used the experimental modal analysis to conduct sinewave sweeps to measure the natural frequency and amplitude of FOGs when vibrated by external forces. Output signal deviations were observed when the structure reached the resonance frequency. Moreover, random vibrations were induced to simulate the flight vibrational environment, and the output signals were recorded before and after the vibration. Finally, the finite element analysis (FEA) was used to simulate each condition to obtain the structural nature frequency in the vibration experiment. The FEA simulation results were compared with those from the experiments to validate the differences; these results could serve as references for future structural designs and modifications. Furthermore, the comparison improves the signal transmission deviation with structural resonance and provides precision FOG navigations.","PeriodicalId":249316,"journal":{"name":"2019 International Conference on Engineering, Science, and Industrial Applications (ICESI)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125039013","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}
{"title":"Review and Visualization of Facebook's FastText Pretrained Word Vector Model","authors":"J. Young, A. Rusli","doi":"10.1109/ICESI.2019.8863015","DOIUrl":"https://doi.org/10.1109/ICESI.2019.8863015","url":null,"abstract":"One of the most popular machine learning methods for processing natural language is Word2Vec. Like several other machine learning methods, there are some concerns regarding the interpretability of the resulting model. In this paper, our research aims to review and analyze a pretrained word vector model for processing Bahasa Indonesia released by Facebook, FastText. The analysis process is started by comparing words existing in the pretrained model and in the official dictionary of Indonesian language (KBBI), then words in the model are visualized to provide further analysis and review. A combination of Principal Component Analysis (PCA) method and t-SNE algorithm is used as a dimensionality reduction technique to visualize the word set. Based on the analysis and visualization result, this paper proposes several considerations needed when using the FastText pretrained word vector model to process natural language in Indonesian such as whether or not common natural language text preprocessing techniques are needed.","PeriodicalId":249316,"journal":{"name":"2019 International Conference on Engineering, Science, and Industrial Applications (ICESI)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126763151","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}