{"title":"Modeling of the equatorial electrojet as a multilayer communication channel and investigation of its effects on EM radio signals","authors":"B. Tuysuz, J. Urbina","doi":"10.1109/SIU.2017.7960247","DOIUrl":"https://doi.org/10.1109/SIU.2017.7960247","url":null,"abstract":"Equatorial Electrojet is a narrow current stream flowing to the east during daytime hours in the low-latitude ionospheric E region. This current acts as a channel and can cause distortions in the signals used for passive radar systems. In this study, a channel model for the equatorial electrojet is created and the changes that occur when EM signals pass through this channel are investigated. For this, equatorial electrojet is first modeled as a multilayer channel using Gaussian random processes according to physical properties. A VHE EM radio signal whose characteristics have been specified was then re-examined after it was passed through this channel. Thus, the effects of the equatorial electrojet flow on the ambiguity function performance of the EM radio signals have been revealed.","PeriodicalId":217576,"journal":{"name":"2017 25th Signal Processing and Communications Applications Conference (SIU)","volume":"62 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123461993","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":"Spectrum sensing performance with adaptive threshold in MIMO cognitive radio","authors":"A. Çakir, H. Yiğit","doi":"10.1109/SIU.2017.7960619","DOIUrl":"https://doi.org/10.1109/SIU.2017.7960619","url":null,"abstract":"Cognitive radio (CR) is the key technology that provides to use frequency spectrum effectively. Spectrum sensing, a critical function of CR, detects spectrum holes. Energy based detection (ED) is the most preferred spectrum sensing technique by researchers because it only requires the energy of received signals. The sensing performance of the ED is mainly based on the wireless communication channel. The channel environment is continuously varying in time. It is therefore difficult to detect primary user's signal with a fixed threshold when the energy of received signal is affected by disturbances such as fading, shadowing, noise and interference. In this study, ET sensing performance based on adaptive threshold value in cognitive radio with MIMO technology has been investigated in terms of the number of antennas at the receiver and the transmitter side, the number of multipath, the speed of mobile receiver and modulation type parameters. The simulation results show that the adaptive threshold value provides better detection performance than the fixed threshold value especially at low SNRs.","PeriodicalId":217576,"journal":{"name":"2017 25th Signal Processing and Communications Applications Conference (SIU)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131380657","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":"Classification of effects of drug combinations with support vector machines","authors":"Ali Cuvitoglu, Z. Işik","doi":"10.1109/SIU.2017.7960450","DOIUrl":"https://doi.org/10.1109/SIU.2017.7960450","url":null,"abstract":"Cancer is still one of the challenging diseases to develop new therapies due to the late diagnosis and its complex progression nature. There is an urgent need for new therapy regimes for cancer patients having late stage diagnosis or recurrence. New computational approaches can help to identify more effective drug combinations as new treatment options for cancer. For this purpose, we developed a classification method to identify more effective drug pairs out of all possible combinations by using single drug treatment gene expression and biological network data. A support vector machine was trained with new features. The model was evaluated on a real drug treatment data that contains both positive (more effective) and negative (not effective) drug combinations. The classification performance reached 80% average accuracy on the test data. Although these results are promising, the model has a room for improvement with different extensions.","PeriodicalId":217576,"journal":{"name":"2017 25th Signal Processing and Communications Applications Conference (SIU)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128735549","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}
O. F. Gemici, F. Kara, Ibrahim Hökelek, I. Salim, Hikmet Asmer, Murat Ilter Koksal, A. Telli, Ahmet Yazar, H. Arslan
{"title":"Real-time 5G technology development platform","authors":"O. F. Gemici, F. Kara, Ibrahim Hökelek, I. Salim, Hikmet Asmer, Murat Ilter Koksal, A. Telli, Ahmet Yazar, H. Arslan","doi":"10.1109/SIU.2017.7960376","DOIUrl":"https://doi.org/10.1109/SIU.2017.7960376","url":null,"abstract":"Advancing the readiness level of 5G technologies requires hardware development activities, where the infrastructure has outmost importance. In this paper, we present multicore ARM-DSP based 5G technology development platform which will expedite commercializing the findings of the 5G researches. In the proposed platform, multicore DSP processors with enourmous signal processing capabilities are used to realize the real-time implementation of 5G physical layer algorithms while multicore ARM processors running real-time operating system are used to implement the real-time implementation of 5G higher layer protocols. To demonstrate the efficiency of the proposed platform, the proof of concept implementation of both transmitter and receiver algorithms within multicore DSP processors are performed for 20 MHz bandwidth and the real-time video transmission over the air using the USRP radios are successfully demonstrated. This platform will be made available to researchers to support 5G R&D activities.","PeriodicalId":217576,"journal":{"name":"2017 25th Signal Processing and Communications Applications Conference (SIU)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124153947","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":"Radiometric cross-calibration of Göktürk-2 with Landsat 8","authors":"I. Demirhan, Hüsne Seda Deveci, U. Sakarya","doi":"10.1109/SIU.2017.7960219","DOIUrl":"https://doi.org/10.1109/SIU.2017.7960219","url":null,"abstract":"Radiometric calibration studies need to be done during the life-time of a satellite. In this paper, reflectance-based cross calibration was conducted at Tuz Golu LandNet site in 2016 using Göktürk-2 and Landsat 8 imageries. Using near-simultaneous images of the satellites under the same atmospheric conditions reduces the effect caused by reflection differences of light. Cross calibration method can be conducted when the satellite sensors have similar bandwith. Even though observing visible bands is the basic approach, filter transmittance and sensor reactivity is not same for all satellite sensors. Therefore, the differences in the relative spectral response should be corrected. In this study a new method has not been proposed. A method already exists in the literature was applied to Göktürk-2 imagery for the first time. In addition, another improvement in this study is suggesting a new approach by converting ground reflectance measurements into top of atmosphere reflectance. Comparing related study with the similar studies in literature similar success has been attained.","PeriodicalId":217576,"journal":{"name":"2017 25th Signal Processing and Communications Applications Conference (SIU)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133584739","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 wavelet transform for cardiotocography signals classification","authors":"Zafer Cömert, A. F. Kocamaz","doi":"10.1109/SIU.2017.7960152","DOIUrl":"https://doi.org/10.1109/SIU.2017.7960152","url":null,"abstract":"As a fetal surveillance technique, cardiotocography (CTG) involves fetal heart rate (FHR), uterine contraction activities, and fetal movements. CTG is practiced as a primary diagnostic test throughout the world to identify events that may pose a risk to the fetus during pregnancy and delivery. In this work, FHR signals carrying vital information on fetus were analyzed by using Haar (haar), Daubechies (db5), and Symlets (sym5) mother wavelet families between levels 1 and 12. The traditionally used morphological and linear features are obtained from FHR. Also, p-norm, Frobenius form, infinity, and negative infinity norms which are obtained separately from the each of the wavelet components were used as a feature to support the classification. The obtained features were applied as an input to k-nearest neighbors (kNN) and artificial neural network (ANN) classifiers in order to discriminate the normal and hypoxic fetuses. According to experimental results, 90.51% and 90.21% classification success on the discrimination of normal and hypoxic fetuses were achieved by using haar at level 4 and kNN.","PeriodicalId":217576,"journal":{"name":"2017 25th Signal Processing and Communications Applications Conference (SIU)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133676038","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":"A novel concentration-type based modulation in molecular communication","authors":"B. C. Akdeniz, A. E. Pusane, T. Tuğcu","doi":"10.1109/SIU.2017.7960355","DOIUrl":"https://doi.org/10.1109/SIU.2017.7960355","url":null,"abstract":"Major problems in diffusion based molecular communication are inter symbol interference (ISI) and low data rates. Keeping symbol duration as long as possible may be a solution, but this leads to even further reduced data rates. In this paper, a novel modulation system that works well in higher data rates is proposed by combining other proposed techniques in the literature. This system relies on encoding the information into addition of different types of molecules and majority molecule type in this summation. Simulation results show that, the proposed method outperforms the previous approaches in the literature for higher data rates.","PeriodicalId":217576,"journal":{"name":"2017 25th Signal Processing and Communications Applications Conference (SIU)","volume":"202 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134392734","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":"Linguistic features in Turkish word representations","authors":"Onur Güngör, Eray Yildiz","doi":"10.1109/SIU.2017.7960223","DOIUrl":"https://doi.org/10.1109/SIU.2017.7960223","url":null,"abstract":"Distributed word representations which are learned using unsupervised methods are employed in many Natural Language Processing (NLP) tasks. They have led to state-of-the-art results in many NLP tasks for many languages. There have been studies reporting that word representations include morphological and semantical information. There are also work that aim to propose word representations which handle the morphological and syntactical information better. However, studies that evaluate the quality of the word representations for morphologically rich languages like Turkish are limited. In this study, we aim to explore the syntactic and morphological information captured by the Turkish word representations which are learned using skip-gram method on a large corpus. To assess the quality of information found in relations between Turkish word embeddings, analogical reasoning task is performed using couples consisting of root words and their inflected or derivative forms. We contribute with detailed experiments and show that word embeddings trained with skip-gram method have differing capabilities in capturing information for inflection and derivation groups in Turkish. We make the test sets and word embeddings publicly available to other researchers for further research.","PeriodicalId":217576,"journal":{"name":"2017 25th Signal Processing and Communications Applications Conference (SIU)","volume":"322 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132172999","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":"Online distributed nonlinear regression via neural networks","authors":"Tolga Ergen, S. Kozat","doi":"10.1109/SIU.2017.7960220","DOIUrl":"https://doi.org/10.1109/SIU.2017.7960220","url":null,"abstract":"In this paper, we study the nonlinear regression problem in a network of nodes and introduce long short term memory (LSTM) based algorithms. In order to learn the parameters of the LSTM architecture in an online manner, we put the LSTM equations into a nonlinear state space form and then introduce our distributed particle filtering (DPF) based training algorithm. Our training algorithm asymptotically achieves the optimal training performance. In our simulations, we illustrate the performance improvement achieved by the introduced algorithm with respect to the conventional methods.","PeriodicalId":217576,"journal":{"name":"2017 25th Signal Processing and Communications Applications Conference (SIU)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128928898","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}
Orhan Torun, M. B. Kocamis, Hakan Abaci, Safak Bilgi Akdemir, A. Yildirim
{"title":"Deinterleaving of radar signals with stagger PRI and dwell-switch PRI types","authors":"Orhan Torun, M. B. Kocamis, Hakan Abaci, Safak Bilgi Akdemir, A. Yildirim","doi":"10.1109/SIU.2017.7960383","DOIUrl":"https://doi.org/10.1109/SIU.2017.7960383","url":null,"abstract":"The main objective of passive Electronic Warfare (EW) systems is to receive radar signals, measure parameters of signals, deinterleave and identify composed clusters of pulses. In a dense environment, identification of each radar signals has had vital importance. Nowadays, EW systems use multi-parameters deinterleaving methods to compose clusters from receiving radar pulses. Then, these clusters are identified by using time of arrival (TOA) deinterleaving methods. In this paper, we will discuss a new deinterleaving algorithm based on predefined parameters for radars which emit stagger and dwell-switch pulse repetition interval (PRI) types. The results of proposed algorithm are simulated via test scenario.","PeriodicalId":217576,"journal":{"name":"2017 25th Signal Processing and Communications Applications Conference (SIU)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129215282","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}