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2080 research outputs found
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Emg-Based Bci for Picar Mobilization
No full textIn this study, the main scope was to develop a brain-computer interface (BCI) with the use of PiCar and EEG/ERP devices. Thus, it is aimed to facilitate the lives of people with certain diseases and disabilities. The ultimate goal of this project has been to direct and control a BCI-based PiCar concerning the signals captured via the EEG/ERP device. With the EEG headset, the EMG signals of the gestures (facial expressions) of the participant were captured. With the collected data, filtering and other preprocessing methods were applied to have noise-free signals. In the preprocessing, the detrending method was used to clean the data set which showed a constantly increasing trend, to a certain range, and zero trends. The denoising (Wavelet Denoising) and outlier detection/elimination methods (OneClassSVM) were used for noise elimination. The SMOTE oversampling method was used for data augmentation. Welch's method was used to get band powers from the signals. With the use of augmented data, several machine learning algorithms were applied such as Support Vector Machine, Logistic Regression, Linear Discriminant Analysis, Random forest Classifier, Gradient Boosting Classifier, Multinomial Naive Bayes, Decision tree, K-Nearest Neighbor, and voting classifier. The developed models were used to predict the direction that is passed as an input to PiCar's API. After that, PiCar was controlled concerning the predicted direction with HTTP GET requests. In this project, the OpenBCI headset and the Brainflow library for EEG/EMG signal obtaining and processing were used. Also, the Tkinter library was used for the Graphical user interface and Django for establishing a server on PiCar's brain which is RaspberryPi. © 2022 IEEE
Crime as Negatively Infinite Judgement in Philosophy of Right
No full textAt the outset of Philosophy of Right, in the second section of the first main chapter entitled as "Abstract Right", Hegel defines crime as "negatively infinite judgement". It must be noted that, in Hegel's system, there are two usages of "negativity" and again two usages of "infinite"; that is to say, both can be used either in the affirmative or in the pejorative sense, and here Hegel uses these terms in the latter context
19 - Identification of the Elastic and Damping Properties of Jute and Luffa Fiber-Reinforced Biocomposites
No full textAlthough there are many studies in the literature on the static mechanical properties of biomaterials such as tensile strength, the dynamic mechanical properties of biomaterials such as modal loss factors have not been investigated in detail. In this study, the Young’s moduli and damping (or loss factors) of some jute and luffa fiber-reinforced biocomposites are investigated. The effects of fiber/resin ratio and thickness on the mechanical properties of the jute and luffa composites are identified via an experimental approach. For this purpose, acoustic and structural frequency response functions of some homogeneous and hybrid jute and luffa composite plates with different fiber/resin ratios and thicknesses are measured. By analyzing the measured frequency response functions using the circle-fit method, the modal frequencies and loss factors of the homogeneous and hybrid composite plates are determined. By assuming that the homogeneous plates are isotropic, the same plates are modeled using the finite element method, and by comparing the experimental and theoretical natural frequencies, the elastic properties of the homogeneous plates are determined. In addition, the same homogeneous plates are modeled by considering an anisotropic material model, and the associated material properties are determined. By using the identified material properties, the finite element models of the hybrid composite plates are developed, and by comparing their experimental and theoretical natural frequencies, the identified elastic material properties are evaluated and validated
Discourse Analysis as a Research Methodology for L2 Context
No full textDiscourse analysis as a qualitative research methodology promotes our understanding ofhow language is used by interlocutors in ongoing talk. Along with the increased use oftechnology and digital media in our lives, the scope of discourse analysis can be expandedfrom face-to face interactions to any instance of online communication. Thus, it is highlylikely to utilize discourse analysis as a research methodology in a wide spectrum ofsecond/foreign language (L2) teaching and learning contexts. In discourse studies, it is acommon practice to inform our analysis by using a specific methodological framework, suchas conversation analysis, interactional sociolinguistics, multimodal analysis, corpuslinguistics, critical discourse analysis, and so on. This chapter presents how I used discourseanalysis utilizing interactional sociolinguistics to examine linguistic politeness in office hourinteractions at two foundational universities in the northwest of Turkey where English is themedium of instruction. Drawing on a reflective and narrative report of my researchexperience, this chapter provides insights into how discourse analysis can be implemented inL2 teaching and learning contexts, what researchers should consider before and during theresearch process, the potential challenges of conducting discourse analysis for similar L2contexts, and suggestions for future endeavors in this line of research
Effects of Covid-19 Lockdowns on Social Distancing in Turkey
No full textThis paper elucidates the causal effect of lockdowns on social distancing behaviour in Turkey by adopting an augmented synthetic control and a factor-augmented model approach for imputing counterfactuals. By constructing a synthetic control group that reproduces pre-lockdown trajectory of mobility of the treated provinces and that accommodates staggered adoption, the difference between the counterfactual and actual mobility of treated provinces is assessed in the post-lockdown period. The analysis shows that in the short run following the onset of lockdowns, outdoor mobility would have been about 17–53 percentage points higher on average in the absence of lockdowns, depending on social distancing measure. However, residential mobility would have been about 12 percentage points lower in the absence of lockdowns. The findings are corroborated using interactive fixed effects and matrix completion counterfactuals that accommodate staggered adoption and treatment reversals
The Impact of the Sustainability Index on the Sustainability Practices at the Borsa İstanbul Stock Exchange
No full textThis thesis examines whether companies listed in the Borsa Istanbul (BIST) Sustainability Index encourages sustainability practices of other companies in Borsa Istanbul Stock Exhange. With this aim, a two-stage logit model was used to measure the effects of mimetic pressure by BIST Sustainability Indexcompanies on the likelihood of sustainability reporting in various environments such as social and environmental risk levels, indices, and sectors. The model determines whether the mimetic pressure significantly affects releasing sustainability report in social and environmental risk levels, indices, and sectors and in which one the impact is highest. As a result of the analysis, it is seen that the increase in the number of BIST Sustainability Indexcompanies that publish sustainability reports increases the likelihood of sustainability reporting in companies with the same risk level, index, and sector. Among them, the effect of the mimetic pressure of BIST Sustainability Indexcompanies is the highest in indices The analysis results are compatible with the institutional theory since BIST Sustainability Indexcompanies' success in financial and sustainability performances makes them ideal models for other companies. Also, the result can be interpreted as the consequence index-based selection system of BIST Sustainability Index.Bu tez, Borsa Istanbul (BIST) Sürdürülebilirlik Endeksi'nin borsada sürdürülebilirlik uygulamalarını teşvik edip etmediğini incelemektedir. BIST Sürdürülebilirlik Endeksi şirketlerinin mimetik baskısının sosyal ve çevresel risk seviyeleri, endeksler ve sektörler gibi borsadaki çeşitli ortamlarda sürdürülebilirlik raporlaması olasılığı üzerindeki etkilerini ölçmek için iki aşamalı logit modeli kullanıldı. Bu model, mimetik baskının hangi ortamlarda sürdürülebilirlik raporu yayımlamayı önemli ölçüde etkilediğini ve hangi ortamda mimetik baskının etkisinin en yüksek belirliyor. Analiz sonucunda, sürdürülebilirlik raporu yayınlayan BIST Sürdürülebilirlik Endeksi şirketlerinin sayısındaki artışın, onlarla aynı risk düzeyi, endeks ve sektördeki şirketlerde sürdürülebilirlik raporlaması olasılığını artırdığı görülmektedir. Bunlar arasında BIST Sürdürülebilirlik Endeksi şirketlerinin mimetik baskısının etkisinin en yüksek olduğu yer endekslerdir. BIST Sürdürülebilirlik Endeksi şirketlerinin finansal ve sürdürülebilirlik performanslarındaki başarıları onları diğer şirketler için ideal modeller haline getirdiğinden, analiz sonuçları kurumsal teori ile uyumludur. Ayrıca endekslerde mimetik baskının en yüksek olduğu sonucu BIST Sürdürülebilirlik Endeksi'nin endeks bazlı seçme sistemi ile ilişkilendirilebilir
Mixcycle: Unsupervised Speech Separation Via Cyclic Mixture Permutation Invariant Training
No full textWe introduce two unsupervised source separation methods, which involve self-supervised training from single-channel two-source speech mixtures. Our first method, mixture permutation invariant training (MixPIT), enables learning a neural network model which separates the underlying sources via a challenging proxy task without supervision from the reference sources. Our second method, cyclic mixture permutation invariant training (MixCycle), uses MixPIT as a building block in a cyclic fashion for continuous learning. MixCycle gradually converts the problem from separating mixtures of mixtures into separating single mixtures. We compare our methods to common supervised and unsupervised baselines: permutation invariant training with dynamic mixing (PIT-DM) and mixture invariant training (MixIT). We show that MixCycle outperforms MixIT and reaches a performance level very close to the supervised baseline (PIT-DM) while circumventing the over-separation issue of MixIT. Also, we propose a self-evaluation technique inspired by MixCycle that estimates model performance without utilizing any reference sources. We show that it yields results consistent with an evaluation on reference sources (LibriMix) and also with an informal listening test conducted on a real-life mixtures dataset (REAL-M)
Alacağın devri (TBK M. 183-194) -Şerh-
No full textAlacağın devrine ilişkin olarak hazırlanmış bu ayrıntılı şerh çalışmasında, Türk Borçlar Kanunu’nun konuyla ilgili 183 ile 194. Maddelerinden her biri Türk-İsviçre öğretisi ışığında ayrı, derinlemesine ve anılan hükümler arasındaki bağlantılar da belirginleştirilerek şerh edilmiş, konuyla ilgili olarak yargıtay ve İsviçre Federal Mahkemesi kararlarında somutlaşan uygulamalara da çalışma içeriğinde özellikle yer verilmesine özen gösterilmiştir. Bunlardan başka yine çalışmada, içeriği bir nebze daha zenginleştirebilmek ve yapılan analizlere derinlik katabilmek adına, yer Alman, Avusturya ve Fransız ve İtalyan Hukuklarındaki mevcut düzenlemelerle; bir kanun tasarısı olarak halihazırda güncelliğini kaybetmiş olsa da hala daha önemli bir öğreti kaynağı olarak değerlendirilebilecek İsviçre Borçlar Kanunu 2020 (OR/CO 2020) Tasarısı’yla; PICC (2016), PECL, DCFR gibi hukuk uyumlaştırması metinlerinin öngördüğü kurallarla ve yine United Nations Convention on the Assignment of Receivables in İnternational Trade (2001) ve Unidroit Convention on International Factoring (1988) gibi uluslararası antlaşma hükümleriyle de, inceleme konusu bazlı karşılaştırmalar yapılmıştır
Estimated Probabilities of Positive, Vs. Negative, Events Show Separable Correlations With Covid-19 Preventive Behaviours
No full textResearch has associated optimism with better health-protective behaviours, but few studies have measured optimism or pessimism directly, by asking participants to estimate probabilities of events. We used these probability estimates to examine how optimism and/or pessimism relate to protecting oneself from COVID-19. When COVID-19 first reached Turkey, we asked a snowball sample of 494 Istanbul adults how much they engaged in various COVID-protective behaviours. They also estimated the probabilities of their catching COVID-19, and of other positive and negative events happening to them. Estimated probability of general positive events (optimism) correlated positively with officially-recommended helpful behaviours (e.g. wearing masks), but not with less-helpful behaviours (e.g. sharing ‘alternative’ COVID-related information online). Estimated probabilities of general negative events (pessimism), or of catching COVID, did not correlate significantly with helpful COVID-related behaviours; but they did correlate with psychopathological symptoms, as did less-helpful COVID-related behaviours. This shows important nuances can be revealed by measuring optimism and pessimism, as separate variables, using probability estimates
A Bayesian Allocation Model Based Approach To Mixed Membership Stochastic Blockmodels
No full textAlthough detecting communities in networks has attracted considerable recent attention, estimating the number of communities is still an open problem. In this paper, we propose a model, which replicates the generative process of the mixed-membership stochastic block model (MMSB) within the generic allocation framework of Bayesian allocation model (BAM) and BAM-MMSB. In contrast to traditional blockmodels, BAM-MMSB considers the observations as Poisson counts generated by a base Poisson process and marks according to the generative process of MMSB. Moreover, the optimal number of communities for BAM-MMSB is estimated by computing the variational approximations of the marginal likelihood for each model order. Experiments on synthetic and real data sets show that the proposed approach promises a generalized model selection solution that can choose not only the model size but also the most appropriate decomposition