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Mineralogical And Geochemical Signatures Of Weathering On Carbonate Rocks And Dynamic Young Land Surfaces In Muğla Polje (Sw Turkey), Ceren Küçükuysal, Murat Gül, Tural Aghayev, Merve Gülcan
Mineralogical And Geochemical Signatures Of Weathering On Carbonate Rocks And Dynamic Young Land Surfaces In Muğla Polje (Sw Turkey), Ceren Küçükuysal, Murat Gül, Tural Aghayev, Merve Gülcan
Turkish Journal of Earth Sciences
Red soils as the weathering products in Muğla Polje (SW Turkey) show different occurrences either on hard and permeable limestone (terra rossa (TRs)) or within the matrix of transported sediments (alluvium-derived soils (ALs), alluvium-derived soils specifically from clastics (ALsc), paleosol (Pls), and colluvium-derived soils (CLs)). The purpose of this study is to unlock the effect of weathering on hard carbonate rocks and dynamic young land surfaces (alluvium and colluvium) in Muğla Polje for the first time in terms of mineralogical and geochemical compositions. TRs, the soils of more stable environments are clayey while ALs and CLs as being the soils …
A Case Study On Geomorphology: Tree-Ring-Based Confirmation Of The Formation Year Of Lake Kaindy After The 1911 Kemin Earthquake In Almaty (Kazakhstan), Ünal Akkemi̇k, Kuralay Mazarzhanova, Arailym Kopabayeva
A Case Study On Geomorphology: Tree-Ring-Based Confirmation Of The Formation Year Of Lake Kaindy After The 1911 Kemin Earthquake In Almaty (Kazakhstan), Ünal Akkemi̇k, Kuralay Mazarzhanova, Arailym Kopabayeva
Turkish Journal of Earth Sciences
Lake Kaindy, which is located in the Kazakhstan side of the Tien Shan Mountains is one of the most famous places in the World due to having sunken Picea schrenkiana Fisch. & C.A.Mey. trees within the Lake. The purpose of the study is to find the dead years of the sunken trees in the lake and therefore to confirm the formation time of Kaindy Lake, and if there is an effect of the 1911 Kemin earthquake on the tree-ring width of Picea schrenkiana around the lake. Eight wood pieces and two increment cores from the sunken trees were taken to …
A Simple Dual-Band Quasi-Yagi Antenna With Defected Ground Structures, Göksel Turan, Hayretti̇n Odabaşi
A Simple Dual-Band Quasi-Yagi Antenna With Defected Ground Structures, Göksel Turan, Hayretti̇n Odabaşi
Turkish Journal of Electrical Engineering and Computer Sciences
In this article, a dual-band compact quasi-Yagi antenna with defected ground structure (DGS) is proposed. The proposed antenna has a simple feeding mechanism consists of a microstrip and transmission line. Half of the driver and director elements are printed on the opposite side of the substrate to ensure good coupling between the antenna elements and achieve a stable radiation pattern. The ground plane is modified with one rectangular slot below the microstrip line to form dual-band operation. Also rectangular slots placed on the sides of the ground plane to improve the matching. The proposed antenna works at $f_{1}=3.35$ and $f_{2}=6.15$ …
Various Operators In Relation To Fractional Order Calculus And Some Of Their Applications To Normalized Analytic Functions In The Open Unit Disk, Hüseyi̇n Irmak
Various Operators In Relation To Fractional Order Calculus And Some Of Their Applications To Normalized Analytic Functions In The Open Unit Disk, Hüseyi̇n Irmak
Turkish Journal of Mathematics
The main object of this scientific work is firstly to introduce various operators of fractional calculus (that is that fractional integral and fractional derivative(s)) in certain domains of the complex plane, then to determine certain results correlating with normalized analytic functions, which are analytic in certain domains in the complex plane, as a few applications of those operators, and also to present a number of extensive implications of them as special results.
Three-Dimensional Mesenchymal Stem Cell Laden Scaffold Of Icariin Sustained-Release For Bone Regeneration, Yanbing Liu, Yan Fang
Three-Dimensional Mesenchymal Stem Cell Laden Scaffold Of Icariin Sustained-Release For Bone Regeneration, Yanbing Liu, Yan Fang
Turkish Journal of Biology
Background/aim: Icariin (ICA)-loaded zein/PLGA nanofiber membrane combined with MSCs was prepared by coaxial electrospinning and bioelectrospraying. Materials and methods: SEM and TEM were used to evaluate the surface morphology and microstructure of the fiber membrane. Ultraviolet spectrophotometry was used to detect drug release. A LIVE/DEAD Viability/Cytotoxicity Kit and fluorescence staining were used to detect cell morphology and activity. Alkaline phosphatase and calcium mineralization deposition were used to evaluate the osteoinductive activity of the scaffold. Dynamic mechanical analysis was used to determine the Young's modulus, maximum load, and maximum elongation of the prepared scaffold. Western blot was used to detect the …
Effects Of Bacterial Inoculation On Soil Physical Properties, Fazil Hacimüftüoğlu, Mustafa Yildirim Canbolat
Effects Of Bacterial Inoculation On Soil Physical Properties, Fazil Hacimüftüoğlu, Mustafa Yildirim Canbolat
Turkish Journal of Agriculture and Forestry
This study was carried out to investigate the impacts of bacterial inoculation on texturally different soil samples under greenhouse conditions. Sandy loam (SL), clay loam (CL), and clay (C) textured soils were inoculated with Bacillus arenosi K64 (B. arenosi), Bacillus megaterium M3 (B. megaterium), and Bacillus subtilis OSU 142 (B. subtilis) isolates and then incubated at 5 different periods [I (20 days), II (40 days), III (60 days), IV (80 days), and V (100 days)]. Soil physical properties, including bulk density, total porosity, mean weight diameter, and intrinsic permeability, were evaluated. It was found that bacterial inoculation caused a decrease …
Artificial Intelligence And Digital Twins In Sustainable Agriculture And Forestry: A Survey, Jing Nie, Yi Wang, Yang Li, Xuewei Chao
Artificial Intelligence And Digital Twins In Sustainable Agriculture And Forestry: A Survey, Jing Nie, Yi Wang, Yang Li, Xuewei Chao
Turkish Journal of Agriculture and Forestry
Affected by global economic pressure and epidemics, sustainable agriculture has received widespread attention from farmers and agricultural engineers. Throughout history, agricultural technology has closely followed the pace of scientific and technological development and has followed the footsteps of mechanization, automation, and intelligence to progress continuously. At this stage, artificial intelligence (AI) is dominating the field of agriculture and advancing the progress of sustainable agriculture. However, the large amount of data required by AI technology and the high cost of data have ensued, while the rapid development of virtualization technology has made people gradually begin to consider the application of digital …
Exploring The Untapped Gas Potential Of Ghazij Shale In Pirkoh Area, Pakistan: Integratedapproach Of Attribute Analysis And Maturity Modeling, Muhammad Raiees Amjad, Sarfraz Khan, Umair Bin Nisar, Urooj Shakir, Khawar Ashfaq Ahmed
Exploring The Untapped Gas Potential Of Ghazij Shale In Pirkoh Area, Pakistan: Integratedapproach Of Attribute Analysis And Maturity Modeling, Muhammad Raiees Amjad, Sarfraz Khan, Umair Bin Nisar, Urooj Shakir, Khawar Ashfaq Ahmed
Turkish Journal of Earth Sciences
A correlative maturity study integrated with seismic attributes for determining the shale gas potential of Ghazij Formation is carried out. Analysis of post-stack seismic attributes has been frequently used to identify areas of high exploration potential within shale resource plays. Seismic and well data have been utilized for the analysis of maturity trends in the shale facies of Ghazij Formation. Total organic carbon content (TOC), burial history, Vitrinite Reflectance (Ro), thermal history and porosity values have been computed at Pirkoh-01 well, which are laterally compared with the maturity results in Bambor and Sui areas. In addition, analysis is carried out …
Mineralogical And Paleobotanical Investigations Of Oligo-Miocene Petrified Wood Fromthe Southwest Of Thrace Basin (Nw Turkey), Burcu Üner, Sabah Yilmaz Şahi̇n, Ünal Akkemi̇k
Mineralogical And Paleobotanical Investigations Of Oligo-Miocene Petrified Wood Fromthe Southwest Of Thrace Basin (Nw Turkey), Burcu Üner, Sabah Yilmaz Şahi̇n, Ünal Akkemi̇k
Turkish Journal of Earth Sciences
Petrified wood samples are found within terrestrial sediments belonging to the Late Oligocene-Early Miocene Danişmen Formation in Malkara-Keşan located in the southwest of the Thrace Basin. The petrified wood in both regions is usually silicified and partly coalified. The silicification of the Tertiary wood in the Malkara-Keşan region is associated with volcanic activity and coeval sedimentation. Thin sections from petrified wood samples were taken as transverse, tangential, and radial sections. The mineralogicalpetrographic- botanical studies were carried out under a polarizing and botanical microscope. Opal-moganite-chalcedony-quartz, which are different polymorphs of silica, were detected under the microscope in the petrified wood. Results …
Structural Interpretation And Petrophysical Approach For Subsurface Fractureidentification Of Joya Mair Area, Nw-Himalayas, Pakistan, Palwasha Shahzad Rathore, Muhammad Armaghan Faisal Miraj, Muhammad Bilal Malik, Sher Afgan, Rana Faizan Saleem, Shan Shahzad, Irza Akhtar
Structural Interpretation And Petrophysical Approach For Subsurface Fractureidentification Of Joya Mair Area, Nw-Himalayas, Pakistan, Palwasha Shahzad Rathore, Muhammad Armaghan Faisal Miraj, Muhammad Bilal Malik, Sher Afgan, Rana Faizan Saleem, Shan Shahzad, Irza Akhtar
Turkish Journal of Earth Sciences
Identification of fracture zone is a challenging task without the image log data. There are many brownfields around the world where the image log has not been acquired; therefore, there must be an alternative way of fracture identification. In this paper, a conventional log response technique for fracture delineation has been discussed. The study area lies in the Upper Indus Basin of Pakistan, which is sub-divided into the Kohat and Potwar basins. Minwal-X-1 of Joya Mair area, which lies in the Potwar Basin, is selected for this purpose. Eocene limestone units are formed due to fracture porosity. The objective of …
No Sand Shipment For Cleopatra By Antonius: Resedimentary Origin For The Ooidal Sand Beach Of Sedir Island (Aegean Coast Of Sw Anatolia), Mehmet Ci̇hat Alçi̇çek
No Sand Shipment For Cleopatra By Antonius: Resedimentary Origin For The Ooidal Sand Beach Of Sedir Island (Aegean Coast Of Sw Anatolia), Mehmet Ci̇hat Alçi̇çek
Turkish Journal of Earth Sciences
No abstract provided.
Middle-Late Devonian Boundary Conodonts From Anarak And Sar-Ashk Sections, Centraliran, Hossein Gholamalian, Vachik Hairapetian, Mohammad Poosti
Middle-Late Devonian Boundary Conodonts From Anarak And Sar-Ashk Sections, Centraliran, Hossein Gholamalian, Vachik Hairapetian, Mohammad Poosti
Turkish Journal of Earth Sciences
The Middle/Late Devonian boundary is investigated based on twenty-four conodont species and subspecies from the Anarak and Sar-Ashk sections in the northwest and southeast of Central East Iran Microplate. The earliest Frasnian strata are defined by the first appearance of Ancyrodella rotundiloba pristina and can be correlated with the global stratotype in the Montagne Noir, South of France. The Late Givetian - Early Frasnian carbonates of the Bahram Formation in the Sar-Ashk section transgressively overlie the sandstones of the Padeha Formation, whereas the coeval interval in the Anarak section composes the middle part of the Bahram Formation. Conodont biostratigraphy of …
Optimized Cancer Detection On Various Magnified Histopathological Colon Imagesbased On Dwt Features And Fcm Clustering, Tina Babu, Tripty Singh, Deepa Gupta, Shahin Hameed
Optimized Cancer Detection On Various Magnified Histopathological Colon Imagesbased On Dwt Features And Fcm Clustering, Tina Babu, Tripty Singh, Deepa Gupta, Shahin Hameed
Turkish Journal of Electrical Engineering and Computer Sciences
Due to the morphological characteristics and other biological aspects in histopathological images, the computerized diagnosis of colon cancer in histopathology images has gained popularity. The images acquired using the histopathology microscope may differ for greater visibility by magnifications. This causes a change in morphological traits leading to intra and inter-observer variability. An automatic colon cancer diagnosis system for various magnification is therefore crucial. This work proposes a magnification independent segmentation approach based on the connected component area and double density dual tree DWT (discrete wavelet transform) coefficients are derived from the segmented region. The derived features are reduced further shortened …
Distributed Wireless Sensor Node Localization Based On Penguin Searchoptimization, Md Al Shayokh, Soo Young Shin
Distributed Wireless Sensor Node Localization Based On Penguin Searchoptimization, Md Al Shayokh, Soo Young Shin
Turkish Journal of Electrical Engineering and Computer Sciences
Wireless sensor networks (WSNs) have become popular for sensing areas-of-interest and performing assigned tasks based on information on the location of sensor devices. Localization in WSNs is aimed at designating distinct geographical information to the inordinate nodes within a search area. Biologically inspired algorithms are being applied extensively in WSN localization to determine inordinate nodes more precisely while consuming minimal computation time. An optimization algorithm belonging to the metaheuristic class and named penguin search optimization (PeSOA) is presented in this paper. It utilizes the hunting approaches in a collaborative manner to determine the inordinate nodes within an area of interest. …
Cnn Based Sensor Fusion Method For Real-Time Autonomous Robotics Systems, Berat Yildiz, Aki̇f Durdu, Ahmet Kayabaşi, Mehmet Duramaz
Cnn Based Sensor Fusion Method For Real-Time Autonomous Robotics Systems, Berat Yildiz, Aki̇f Durdu, Ahmet Kayabaşi, Mehmet Duramaz
Turkish Journal of Electrical Engineering and Computer Sciences
Autonomous robotic systems (ARS) serve in many areas of daily life. The sensors have critical importance for these systems. The sensor data obtained from the environment should be as accurate and reliable as possible and correctly interpreted by the autonomous robot. Since sensors have advantages and disadvantages over each other they should be used together to reduce errors. In this study, Convolutional Neural Network (CNN) based sensor fusion was applied to ARS to contribute the autonomous driving. In a real-time application, a camera and LIDAR sensor were tested with these networks. The novelty of this work is that the uniquely …
Fft Enabled Ecc For Wsn Nodes Without Hardware Multiplier Support, Utku Gülen, Selçuk Baktir
Fft Enabled Ecc For Wsn Nodes Without Hardware Multiplier Support, Utku Gülen, Selçuk Baktir
Turkish Journal of Electrical Engineering and Computer Sciences
ECC is a popular cryptographic algorithm for key distribution in wireless sensor networks where power efficiency is desirable. A power efficient implementation of ECC without using hardware multiplier support was proposed earlier for wireless sensor nodes. The proposed implementation utilized the number theoretic transform to carry operands to the frequency domain, and conducted Montgomery multiplication, in addition to other finite field operations, in that domain. With this work, we perform in the frequency domain only polynomial multiplication and use the fast Fourier transform to carry operands between the time and frequency domains. Our ECC implementation over $GF((2^{13}-1)^{13})$ on the MSP430 …
Using Vertical Areas In Finite Set Model Predictive Control Of A Three-Level Inverter Aimed At Computation Reduction, Alireza Jaafari, Alireza Davari, Cristian Garcia, Jose Rodriguez
Using Vertical Areas In Finite Set Model Predictive Control Of A Three-Level Inverter Aimed At Computation Reduction, Alireza Jaafari, Alireza Davari, Cristian Garcia, Jose Rodriguez
Turkish Journal of Electrical Engineering and Computer Sciences
In power electronics applications, finite set model predictive control (FS-MPC) has proven to be a viable strategy. However, due to the high processing power required, using this technology in multilevel converters is difficult. This strategy, which is based on predicting the behavior of the system for all conceivable states, has an issue with a numerous of possible switching states. A recent and useful strategy for dealing with the problem is the limiting of calculations based on triangle regions. Despite its success, this method has several limitations, including the computation required to locate the right triangle and the boundary modes. In …
An Approach For Performance Prediction Of Saturated Brushed Permanent Magnetdirect Current (Dc) Motor From Physical Dimensions, Rasul Tarvirdilu, Reza Zeinali, Hulusi̇ Bülent Ertan
An Approach For Performance Prediction Of Saturated Brushed Permanent Magnetdirect Current (Dc) Motor From Physical Dimensions, Rasul Tarvirdilu, Reza Zeinali, Hulusi̇ Bülent Ertan
Turkish Journal of Electrical Engineering and Computer Sciences
An analytical approach for performance prediction of saturated brushed permanent magnet direct current (DC) motors is proposed in this paper. In case of a heavy saturation in the stator back core of electrical machines, some flux completes its path through the surrounding air, and the conventional equivalent circuit cannot be used anymore. This issue has not been addressed in the literature. The importance of considering the effect of the flux penetrating the surrounding air is shown in this paper using finite element simulations and experimental results, and an analytical approach is proposed to consider this effect on magnet operating point …
Application Of Long Short-Term Memory (Lstm) Neural Network Based On Deeplearning For Electricity Energy Consumption Forecasting, Mehmet Bi̇lgi̇li̇, Ni̇yazi̇ Arslan, Ali̇i̇hsan Şekerteki̇n, Abdulkadi̇r Yaşar
Application Of Long Short-Term Memory (Lstm) Neural Network Based On Deeplearning For Electricity Energy Consumption Forecasting, Mehmet Bi̇lgi̇li̇, Ni̇yazi̇ Arslan, Ali̇i̇hsan Şekerteki̇n, Abdulkadi̇r Yaşar
Turkish Journal of Electrical Engineering and Computer Sciences
Electricity is the most substantial energy form that significantly affects the development of modern life, work efficiency, quality of life, production, and competitiveness of the society in the ever-growing global world. In this respect, forecasting accurate electricity energy consumption (EEC) is fairly essential for any country?s energy consumption planning and management regarding its growth. In this study, four time-series methods; long short-term memory (LSTM) neural network, adaptive neuro-fuzzy inference system (ANFIS) with subtractive clustering (SC), ANFIS with fuzzy cmeans (FCM), and ANFIS with grid partition (GP) were implemented for the short-term one-day ahead EEC prediction. Root mean square error (RMSE), …
A Futuristic Approach To Generate Random Bit Sequence Using Dynamic Perturbedchaotic System, Sathya Krishnamoorthi, Premalatha Jayapaul, Vani Rajasekar, Rajesh Kumar Dhanaraj, Celestine Iwendi
A Futuristic Approach To Generate Random Bit Sequence Using Dynamic Perturbedchaotic System, Sathya Krishnamoorthi, Premalatha Jayapaul, Vani Rajasekar, Rajesh Kumar Dhanaraj, Celestine Iwendi
Turkish Journal of Electrical Engineering and Computer Sciences
Most of the web applications require security which in turn requires random numbers. Pseudo-random numbers are required with good statistical properties and efficiency. Use of chaotic map to dynamically perturb another chaotic map that generates the random bit output is introduced in this work. Perturbance is introduced to improvise the chaotic behaviour of a base map and increase the periodicity. PRNG with this architecture is devised to generate random bit sequence from initial keyspace. The statistical properties of newly constructed PRNG are tested with NIST SP 800-22 statistical test suite and were shown to have good randomness. To ensure its …
Motion-Aware Vehicle Detection In Driving Videos, Mehmet Kiliçarslan, Tansu Temel
Motion-Aware Vehicle Detection In Driving Videos, Mehmet Kiliçarslan, Tansu Temel
Turkish Journal of Electrical Engineering and Computer Sciences
This paper focuses on vehicle detection based on motion features in driving videos. Long-term motion information can assist in driving scenarios since driving is a complicated and dynamic process. The proposed method is a deep learning based model which processes motion frame image. This image merges both spatial (frame) and temporal (motion) information. Hence, the model jointly detects vehicles and their motion from a single image. The trained model on Toyota Motor Europe Motorway Dataset reaches 83% mean average precision (mAP). Our experiments demonstrate that the proposed method has a higher mAP than a tracking-based model. The proposed method runs …
A Novel Energy Consumption Model For Autonomous Mobile Robot, Gürkan Gürgöze, İbrahi̇m Türkoğlu
A Novel Energy Consumption Model For Autonomous Mobile Robot, Gürkan Gürgöze, İbrahi̇m Türkoğlu
Turkish Journal of Electrical Engineering and Computer Sciences
In this study, a novel predictive energy consumption model has been developed to facilitate the development of tasks based on efficient energy consumption strategies in mobile robot systems. For the proposed energy consumption model, an advanced mathematical system model that takes into account all parameters during the motion of the mobile robot is created. The parameters of inclination, load, dynamic friction, wheel slip and speed-torque saturation limit, which are often neglected in existing models, are especially used in our model. Thus, the effects of unexpected disruptors on energy consumption in the real world environment are also taken into account. As …
Automatically Classifying Familiar Web Users From Eye-Tracking Data:A Machine Learning Approach, Meli̇h Öder, Şükrü Eraslan, Yeli̇z Yesi̇lada
Automatically Classifying Familiar Web Users From Eye-Tracking Data:A Machine Learning Approach, Meli̇h Öder, Şükrü Eraslan, Yeli̇z Yesi̇lada
Turkish Journal of Electrical Engineering and Computer Sciences
Eye-tracking studies typically collect enormous amount of data encoding rich information about user behaviours and characteristics on the web. Eye-tracking data has been proved to be useful for usability and accessibility testing and for developing adaptive systems. The main objective of our work is to mine eye-tracking data with machine learning algorithms to automatically detect users' characteristics. In this paper, we focus on exploring different machine learning algorithms to automatically classify whether users are familiar or not with a web page. We present our work with an eye-tracking data of 81 participants on six web pages. Our results show that …
Stability Regions In Time Delayed Two-Area Lfc System Enhanced By Evs, Ausnain Naveed, Şahi̇n Sönmez, Saffet Ayasun
Stability Regions In Time Delayed Two-Area Lfc System Enhanced By Evs, Ausnain Naveed, Şahi̇n Sönmez, Saffet Ayasun
Turkish Journal of Electrical Engineering and Computer Sciences
With the extensive usage of open communication networks, time delays have become a great concern in load frequency control (LFC) systems since such inevitable large delays weaken the controller performance and even may lead to instabilities. Electric vehicles (EVs) have a potential tool in the frequency regulation. The integration of a large number of EVs via an aggregator amplifies the adverse effects of time delays on the stability and controller design of LFC systems. This paper investigates the impacts of the EVs aggregator with communication time delay on the stability. Primarily, a graphical method characterizing stability boundary locus is implemented. …
Temporal Bagging: A New Method For Time-Based Ensemble Learning, Göksu Tüysüzoğlu, Derya Bi̇rant, Volkan Kiranoğlu
Temporal Bagging: A New Method For Time-Based Ensemble Learning, Göksu Tüysüzoğlu, Derya Bi̇rant, Volkan Kiranoğlu
Turkish Journal of Electrical Engineering and Computer Sciences
One of the main problems associated with the bagging technique in ensemble learning is its random sample selection in which all samples are treated with the same chance of being selected. However, in time-varying dynamic systems, the samples in the training set have not equal importance, where the recent samples contain more useful and accurate information than the former ones. To overcome this problem, this paper proposes a new time-based ensemble learning method, called temporal bagging (T-Bagging). The significant advantage of our method is that it assigns larger weights to more recent samples with respect to older ones, so it …
Evaluating The English-Turkish Parallel Treebank For Machine Translation, Onur Görgün, Olcay Taner Yildiz
Evaluating The English-Turkish Parallel Treebank For Machine Translation, Onur Görgün, Olcay Taner Yildiz
Turkish Journal of Electrical Engineering and Computer Sciences
This study extends our initial efforts in building an English-Turkish parallel treebank corpus for statistical machine translation tasks. We manually generated parallel trees for about 17K sentences selected from the Penn Treebank corpus. English sentences vary in length: 15 to 50 tokens including punctuation. We constrained the translation of trees by (i) reordering of leaf nodes based on suffixation rules in Turkish, and (ii) gloss replacement. We aim to mimic human annotator?s behavior in real translation task. In order to fill the morphological and syntactic gap between languages, we do morphological annotation and disambiguation. We also apply our heuristics by …
An Active Contour Model Using Matched Filter And Hessian Matrix For Retinalvessels Segmentation, Mahtab Shabani, Hossein Pourghassem
An Active Contour Model Using Matched Filter And Hessian Matrix For Retinalvessels Segmentation, Mahtab Shabani, Hossein Pourghassem
Turkish Journal of Electrical Engineering and Computer Sciences
Medical image analysis, especially of the retina, plays an important role in diagnostic decision support tools. The properties of retinal blood vessels are used for disease diagnoses such as diabetes, glaucoma, and hypertension. There are some challenges in the utilization of retinal blood vessel patterns such as low contrast and intensity inhomogeneities. Thus, an automatic algorithm for vessel extraction is required. Active contour is a strong method for edge extraction. However, it cannot extract thin vessels and ridges very well. In this research, we propose an improved active contour method that uses discrete wavelet transform for energy minimization to solve …
Stressed Or Just Running? Differentiation Of Mental Stress And Physical Activityby Using Machine Learning, Yekta Sai̇d Can
Stressed Or Just Running? Differentiation Of Mental Stress And Physical Activityby Using Machine Learning, Yekta Sai̇d Can
Turkish Journal of Electrical Engineering and Computer Sciences
Recently, modern people have excessive stress in their daily lives. With the advances in physiological sensors and wearable technology, people?s physiological status can be tracked, and stress levels can be recognized for providing beneficial services. Smartwatches and smartbands constitute the majority of wearable devices. Although they have an excellent potential for physiological stress recognition, some crucial issues need to be addressed, such as the resemblance of physiological reaction to stress and physical activity, artifacts caused by movements and low data quality. This paper focused on examining and differentiating physiological responses to both stressors and physical activity. Physiological data are collected …
An Effective Prediction Method For Network State Information In Sd-Wan, Erdal Akin, Ferdi̇ Saraç, Ömer Aslan
An Effective Prediction Method For Network State Information In Sd-Wan, Erdal Akin, Ferdi̇ Saraç, Ömer Aslan
Turkish Journal of Electrical Engineering and Computer Sciences
In a software-defined wide area network (SD-WAN), a logically centralized controller is responsible for computing and installing paths in order to transfer packets among geographically distributed locations and remote users. Accordingly, this would necessitate obtaining the global view and dynamic network state information (NSI) of the network. Therefore, the centralized controller periodically collects link-state information from each port of each switch at fixed time periods. While collecting NSI in short periods causes protocol overhead on the controller, collecting in longer periods leads to obtaining inaccurate NSI. In both cases, packet losses are inevitable, which is not preferred for quality of …
Notes On The Quadraticity Of Linear Combinations Of A Cubic Matrix And A Quadratic Matrix That Commute, Tuğba Peti̇k, Hali̇m Özdemi̇r, Burak Tufan Gökmen
Notes On The Quadraticity Of Linear Combinations Of A Cubic Matrix And A Quadratic Matrix That Commute, Tuğba Peti̇k, Hali̇m Özdemi̇r, Burak Tufan Gökmen
Turkish Journal of Mathematics
Let $A_{1}$ and $A_{2}$ be an $\{\alpha_{1}, \beta_{1}, \gamma_{1}\}$-cubic matrix and an $\{\alpha_{2}, \beta_{2}\}$-quadratic matrix, respectively, with $\alpha_{1} \neq \beta_{1}$, $\beta_{1} \neq \gamma_{1}$, $\alpha_{1} \neq \gamma_{1}$ and $\alpha_{2}\neq \beta_{2}$. In this work, we characterize all situations in which the linear combination $A_{3}=a_{1}A_{1}+a_{2}A_{2}$ with the assumption $A_{1}A_{2}=A_{2}A_{1}$ is an $\{\alpha_{3}, \beta_{3}\}$-quadratic matrix, where $a_{1}$ and $a_{2}$ are unknown nonzero complex numbers.