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Machine Learning-Based A Comparative Analysis for Air Quality Prediction 基于机器学习的空气质量预测比较分析
2022 30th Signal Processing and Communications Applications Conference (SIU) Pub Date : 2022-05-15 DOI: 10.1109/SIU55565.2022.9864701
A. Utku, Umit Can
{"title":"Machine Learning-Based A Comparative Analysis for Air Quality Prediction","authors":"A. Utku, Umit Can","doi":"10.1109/SIU55565.2022.9864701","DOIUrl":"https://doi.org/10.1109/SIU55565.2022.9864701","url":null,"abstract":"Air pollution affects human life negatively, especially in terms of health, and causes the death of millions of people every year. Today, air pollution in many regions is still above the limits indicated by the World Health Organization. In this study, the prediction of the rate of PM2.5, which is an important air pollutant, in the Beijing region of China is emphasized. For this purpose, weather prediction models were created using Random Forest Algorithm, Support Vector Regression, XGBoost and K-Nearest Neighbor Algorithm, which are popular machine learning algorithms, and the results were compared using various metrics. The best prediction result in all the metrics used was obtained with the Support Vector Regression method.","PeriodicalId":115446,"journal":{"name":"2022 30th Signal Processing and Communications Applications Conference (SIU)","volume":"123 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116025041","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: 2
Analysis of the Effect of Loss and Dispersion on Light Pulse in Fiber Optic Networks 光纤网络中损耗和色散对光脉冲影响的分析
2022 30th Signal Processing and Communications Applications Conference (SIU) Pub Date : 2022-05-15 DOI: 10.1109/SIU55565.2022.9864712
Burak Yilmaz, A. Dolma
{"title":"Analysis of the Effect of Loss and Dispersion on Light Pulse in Fiber Optic Networks","authors":"Burak Yilmaz, A. Dolma","doi":"10.1109/SIU55565.2022.9864712","DOIUrl":"https://doi.org/10.1109/SIU55565.2022.9864712","url":null,"abstract":"Losses and dispersions, which constitute the most important transmission characteristics of the fiber, are undesirable and should be avoided in communication. In the study, the analysis of environmental and material-related losses in fiber transmission lines was made. As a result of the analysis, the causes of the losses were emphasized, the graphs of the losses in the fiber depending on the wavelength were obtained, and a study was carried out to calculate the loss amounts approximately. In the second stage of the study, dispersion and its types, which are the most important determining factors that determine the transmission speed and distance of the fiber, are briefly explained, and a simulation in single-mode fiber is prepared in order to better display the dispersion by using a computer program. In the simulation, the effect of loss and dispersion on 4 light pulses was investigated. As a result of the studies, it has been determined how the bit error rate (BER) occurs in fiber optic communication. Finally, the applications that will minimize the dispersion and loss in the fiber are emphasized.","PeriodicalId":115446,"journal":{"name":"2022 30th Signal Processing and Communications Applications Conference (SIU)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116404682","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
Clustering Methods Comparison for Optimization of Adaptive Neural Fuzzy Inference System 自适应神经模糊推理系统优化的聚类方法比较
2022 30th Signal Processing and Communications Applications Conference (SIU) Pub Date : 2022-05-15 DOI: 10.1109/SIU55565.2022.9864902
Sertug Fdan, B. Karasulu
{"title":"Clustering Methods Comparison for Optimization of Adaptive Neural Fuzzy Inference System","authors":"Sertug Fdan, B. Karasulu","doi":"10.1109/SIU55565.2022.9864902","DOIUrl":"https://doi.org/10.1109/SIU55565.2022.9864902","url":null,"abstract":"Different methods have been developed to optimize the Adaptive Neural Fuzzy Inference System, which is used in many fields due to its flexible structure and trainability. Within the scope of this study, three different models were produced using two different datasets, using only the first clustering method, only the second clustering method, and both the first and second clustering methods. In this study, the Fuzzy C-Mean Clustering algorithm, which is one of the most efficient methods used to reduce the number of rules in the rule base of the hybrid intelligent system is compared with the Highly Connected Subgraphs algorithm. The models were compared over the square root of the mean square error, the number of nodes, the number of fuzzy rules, and the mean training time. As a result of the study, the second clustering method formed the most efficient result in terms of error rate with 0.084 and 0,008. It has been observed that the average training time of this method is approximately 31 times longer than the first clustering method mentioned above, and approximately 52 times longer than the model in which the first and second clustering methods are used together. In this study, it has been seen that the first clustering method is more successful in reducing the rule base by optimizing the second method by determining more suitable cluster centers. Based on the experimental results obtained in our study, these two different clustering methods were compared over three different models. Discussion and scientific results are included in our study.","PeriodicalId":115446,"journal":{"name":"2022 30th Signal Processing and Communications Applications Conference (SIU)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121943053","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
Low Radar Cross Section UAV Design in X-Band x波段低雷达截面无人机设计
2022 30th Signal Processing and Communications Applications Conference (SIU) Pub Date : 2022-05-15 DOI: 10.1109/SIU55565.2022.9864894
Dizdar Ünalir, Sila Sezgin, Cansu Sena Yuva, Bengisu Yalçinkaya Gökdoğan, Elif Aydin
{"title":"Low Radar Cross Section UAV Design in X-Band","authors":"Dizdar Ünalir, Sila Sezgin, Cansu Sena Yuva, Bengisu Yalçinkaya Gökdoğan, Elif Aydin","doi":"10.1109/SIU55565.2022.9864894","DOIUrl":"https://doi.org/10.1109/SIU55565.2022.9864894","url":null,"abstract":"As Unmanned Aerial Vehicles (UAVs) have become widespread in defense industry, the radar technology that can detect them has also improved. These improvements cause UAVs to be detected more easily, which limits their effectiveness in military usage. Although the reduction of the radar cross-section (RCS) can provide a solution to this issue, the studies regarding that is insufficient in the literature. In this study, a shaping method is recommended to reduce the RCS of UAVs, and it is shown the method is effective to address the problem. Firstly, using a simulation tool, an UAV model is designed from simple shapes and the model is validated by comparing it with the ones in literature. Secondly, RCS values are measured using vertical and horizontal polarization throughout 360 degrees by incrementing the aspect angle by one degree in X-Band using the CST Studio Suite environment. Then, considering the hardware and aerodynamic requirements as well as limitations of the UAV model, a shaping technique is applied to the body, legs and the hollow parts of the UAV model with parametric simulations. The results show that the recommended shaping technique can provide a significant reduction in the RCS of an UAV.","PeriodicalId":115446,"journal":{"name":"2022 30th Signal Processing and Communications Applications Conference (SIU)","volume":"2 3-4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122184877","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
An AXI Data Shaper for Heterogeneous FPGA System-on-Chip (SoC) Architectures 面向异构FPGA片上系统(SoC)架构的AXI数据整形器
2022 30th Signal Processing and Communications Applications Conference (SIU) Pub Date : 2022-05-15 DOI: 10.1109/SIU55565.2022.9864667
Efe Berkay Yitim, E. G. Schmidt
{"title":"An AXI Data Shaper for Heterogeneous FPGA System-on-Chip (SoC) Architectures","authors":"Efe Berkay Yitim, E. G. Schmidt","doi":"10.1109/SIU55565.2022.9864667","DOIUrl":"https://doi.org/10.1109/SIU55565.2022.9864667","url":null,"abstract":"This paper proposes AXI Data Shaper (ADS) which enables bandwidth allocation to the communicating modules on a shared AXI (Advanced eXtensible Interface) Interface. To this end, the first contribution of this paper is the detailed algorithmic description of ADS and its implementation on an FPGA SoC Platform. The second contribution is a comprehensive experimental study of ADS with measurements collected from the evaluation board. Our results show that ADS can provide Quality of Service to the connected modules by allocating bandwidth as configured and provide isolation and protection among the data transmissions.","PeriodicalId":115446,"journal":{"name":"2022 30th Signal Processing and Communications Applications Conference (SIU)","volume":"446 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125772310","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
Detection of Olfactory Stimulus from EEG Signals for Neuromarketing Applications 脑电信号嗅觉刺激检测在神经营销中的应用
2022 30th Signal Processing and Communications Applications Conference (SIU) Pub Date : 2022-05-15 DOI: 10.1109/SIU55565.2022.9864841
Sude Pehlivan, Burak Akbugday, A. Akan, Reza Sadighzadeh
{"title":"Detection of Olfactory Stimulus from EEG Signals for Neuromarketing Applications","authors":"Sude Pehlivan, Burak Akbugday, A. Akan, Reza Sadighzadeh","doi":"10.1109/SIU55565.2022.9864841","DOIUrl":"https://doi.org/10.1109/SIU55565.2022.9864841","url":null,"abstract":"In this study, a method is proposed to detect the presence of olfactory stimuli from Electroencephalogram (EEG) signals to be used in neuromarketing applications. Odor is used in different ways in neuromarketing applications since it stimulates various emotions. Multi-channel EEG signals were recorded from the volunteers while they were subjected to two open boxes of unscented and scented products in succession. After the necessary preprocessing steps, EEG sub-band powers were calculated for 14 EEG channels. These features were classified using machine learning methods, and the EEG segments in which the olfactory stimulus was present were classified. The results show that the proposed method gives successful results with 92% accuracy, 93% precision, 92% recall, and 92% F1-score using the Random Forest classifier.","PeriodicalId":115446,"journal":{"name":"2022 30th Signal Processing and Communications Applications Conference (SIU)","volume":"45 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125895039","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 Statistical Focusing Metric for Fluorescent Microscopy 荧光显微镜的统计聚焦度量
2022 30th Signal Processing and Communications Applications Conference (SIU) Pub Date : 2022-05-15 DOI: 10.1109/SIU55565.2022.9864832
A. Çapar, Ramazan Cagac, Nurcan Komutan
{"title":"A Statistical Focusing Metric for Fluorescent Microscopy","authors":"A. Çapar, Ramazan Cagac, Nurcan Komutan","doi":"10.1109/SIU55565.2022.9864832","DOIUrl":"https://doi.org/10.1109/SIU55565.2022.9864832","url":null,"abstract":"Autofocusing has critical importance for imaging systems with motorized microscopes in healthcare. It is not possible to diagnose on a picture that captured out of focus. In the literature, it has been observed that there are limited studies on focusing methods specific to fluorescent microscopes. In this study, a focus metric is proposed special to fluorescent microscope images. The proposed metric evaluates the responses generated by gradient filters of varying kernel size at a pixel point, and takes into account their standard deviations. The proposed method was tested on lung and breast tissue samples obtained with fluorescent microscope, and experimental results were reported. It is shown that the developed method overperforms the local gradient filters and produces an average error of 0.16 levels.","PeriodicalId":115446,"journal":{"name":"2022 30th Signal Processing and Communications Applications Conference (SIU)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129321412","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
Detection of Stride Time and Stance Phase Ratio from Accelerometer Data for Gait Analysis 从加速度计数据中检测步幅时间和姿态相位比用于步态分析
2022 30th Signal Processing and Communications Applications Conference (SIU) Pub Date : 2022-05-15 DOI: 10.1109/SIU55565.2022.9864920
Ahmet R. Emirdagi, Fadime Tokmak, Nursena Köprücü, Kardelen Akar, A. Vural, E. Erzin
{"title":"Detection of Stride Time and Stance Phase Ratio from Accelerometer Data for Gait Analysis","authors":"Ahmet R. Emirdagi, Fadime Tokmak, Nursena Köprücü, Kardelen Akar, A. Vural, E. Erzin","doi":"10.1109/SIU55565.2022.9864920","DOIUrl":"https://doi.org/10.1109/SIU55565.2022.9864920","url":null,"abstract":"Stride time and stance phase ratio are supportive biomarkers used in the diagnosis and treatment of gait disorders and are currently frequently used in research studies. In this study, the 3-axis accelerometer signal, taken from the foot, was denoised by a low-pass FIR (finite impulse response) filter. By using the fundamental frequency analysis the dominant frequency was found and with that frequency an optimal length for a window to be shifted across the whole signal for further purposes. And the turning region was extracted by using the Pearson correlation coefficient with the segments that overlapped by shifting the selected window over the whole signal, after getting the walking segments the stride time parameter is calculated by using a simple peak-picking algorithm. The stance and swing periods of the pseudo-steps, which emerged as a result of the double step time calculation algorithm, were found with the dynamic time warping method, and the ratio of the stance phase in a step to the whole step was calculated as a percentage. The results found were compared with the results of the APDM system, and the mean absolute error rate was calculated as 0.029 s for the stride time and 0.0084 for the stance phase ratio.","PeriodicalId":115446,"journal":{"name":"2022 30th Signal Processing and Communications Applications Conference (SIU)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127028833","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
Filtering Clean Sample from Noisy Datasets by Creating and Analyzing Artifical Class 通过创建和分析人工类从噪声数据集中过滤干净样本
2022 30th Signal Processing and Communications Applications Conference (SIU) Pub Date : 2022-05-15 DOI: 10.1109/SIU55565.2022.9864858
ilkay Ulusoy, Botan Yildirim
{"title":"Filtering Clean Sample from Noisy Datasets by Creating and Analyzing Artifical Class","authors":"ilkay Ulusoy, Botan Yildirim","doi":"10.1109/SIU55565.2022.9864858","DOIUrl":"https://doi.org/10.1109/SIU55565.2022.9864858","url":null,"abstract":"A new method for extracting clean samples from noisy labelled classification dataset without using any clean dataset and making any assumption related to noise rate is proposed in this work. The proposed method suggests creating artificial samples, which are mimicking noisy samples and absolutely noisy, to understand behavior of noisy samples during training of a classifier neural network. The proposed method investigates behavior of artificial samples during training to classify other samples as clean or noisy. Performance of clean sample extraction and classifier neural network trained with the extracted clean samples are observed with using proposed method. When presented results are observed, it is proved that the proposed algorithm is sucessful in terms of extracting clean dataset and provides better or similar results with compared algorithms.","PeriodicalId":115446,"journal":{"name":"2022 30th Signal Processing and Communications Applications Conference (SIU)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128972187","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
Analysis of the Effects of Orthogonal Transformation Techniques on Channel Equalizers Used in OFDM 正交变换技术对OFDM信道均衡器的影响分析
2022 30th Signal Processing and Communications Applications Conference (SIU) Pub Date : 2022-05-15 DOI: 10.1109/SIU55565.2022.9864740
Talat Kepezkaya, A. Özen
{"title":"Analysis of the Effects of Orthogonal Transformation Techniques on Channel Equalizers Used in OFDM","authors":"Talat Kepezkaya, A. Özen","doi":"10.1109/SIU55565.2022.9864740","DOIUrl":"https://doi.org/10.1109/SIU55565.2022.9864740","url":null,"abstract":"In this study, it is proposed to combine fast Walsh Hadamard transform (FWHT) with orthogonal transforms such as discrete cosine transform (DCT) and discrete sine transform (DST) to increase the performance of time domain (TDE) and frequency domain channel equalizers (FDE) used in OFDM systems. In order to test the performance of the proposed FWHT FFT/DCT/DST-OFDM waveforms with TDE and FDE, numerical simulation studies are carried out in the frequency selective Rayleigh fading channel environment. From the obtained numerical results, it is understood that the proposed FWHT FFT/DCT/DST OFDM-TDE systems have approximately 8 dB better bit error rate (BER) performance than FWHT FFT/DCT/DST OFDM-FDE methods.","PeriodicalId":115446,"journal":{"name":"2022 30th Signal Processing and Communications Applications Conference (SIU)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131077660","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
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