Subjects -> COMPUTER SCIENCE (Total: 2313 journals)
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COMPUTER SCIENCE (1305 journals)                  1 2 3 4 5 6 7 | Last

Showing 1 - 200 of 872 Journals sorted alphabetically
3D Printing and Additive Manufacturing     Full-text available via subscription   (Followers: 27)
Abakós     Open Access   (Followers: 3)
ACM Computing Surveys     Hybrid Journal   (Followers: 29)
ACM Inroads     Full-text available via subscription   (Followers: 2)
ACM Journal of Computer Documentation     Free   (Followers: 4)
ACM Journal on Computing and Cultural Heritage     Hybrid Journal   (Followers: 5)
ACM Journal on Emerging Technologies in Computing Systems     Hybrid Journal   (Followers: 11)
ACM SIGACCESS Accessibility and Computing     Free   (Followers: 2)
ACM SIGAPP Applied Computing Review     Full-text available via subscription  
ACM SIGBioinformatics Record     Full-text available via subscription  
ACM SIGEVOlution     Full-text available via subscription  
ACM SIGHIT Record     Full-text available via subscription  
ACM SIGHPC Connect     Full-text available via subscription  
ACM SIGITE Newsletter     Open Access   (Followers: 1)
ACM SIGMIS Database: the DATABASE for Advances in Information Systems     Hybrid Journal  
ACM SIGUCCS plugged in     Full-text available via subscription  
ACM SIGWEB Newsletter     Full-text available via subscription   (Followers: 2)
ACM Transactions on Accessible Computing (TACCESS)     Hybrid Journal   (Followers: 3)
ACM Transactions on Algorithms (TALG)     Hybrid Journal   (Followers: 13)
ACM Transactions on Applied Perception (TAP)     Hybrid Journal   (Followers: 3)
ACM Transactions on Architecture and Code Optimization (TACO)     Hybrid Journal   (Followers: 9)
ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP)     Hybrid Journal  
ACM Transactions on Autonomous and Adaptive Systems (TAAS)     Hybrid Journal   (Followers: 10)
ACM Transactions on Computation Theory (TOCT)     Hybrid Journal   (Followers: 11)
ACM Transactions on Computational Logic (TOCL)     Hybrid Journal   (Followers: 5)
ACM Transactions on Computer Systems (TOCS)     Hybrid Journal   (Followers: 19)
ACM Transactions on Computer-Human Interaction     Hybrid Journal   (Followers: 15)
ACM Transactions on Computing Education (TOCE)     Hybrid Journal   (Followers: 9)
ACM Transactions on Computing for Healthcare     Hybrid Journal  
ACM Transactions on Cyber-Physical Systems (TCPS)     Hybrid Journal   (Followers: 1)
ACM Transactions on Design Automation of Electronic Systems (TODAES)     Hybrid Journal   (Followers: 5)
ACM Transactions on Economics and Computation     Hybrid Journal  
ACM Transactions on Embedded Computing Systems (TECS)     Hybrid Journal   (Followers: 4)
ACM Transactions on Information Systems (TOIS)     Hybrid Journal   (Followers: 18)
ACM Transactions on Intelligent Systems and Technology (TIST)     Hybrid Journal   (Followers: 11)
ACM Transactions on Interactive Intelligent Systems (TiiS)     Hybrid Journal   (Followers: 6)
ACM Transactions on Internet of Things     Hybrid Journal   (Followers: 2)
ACM Transactions on Modeling and Performance Evaluation of Computing Systems (ToMPECS)     Hybrid Journal  
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)     Hybrid Journal   (Followers: 10)
ACM Transactions on Parallel Computing     Full-text available via subscription  
ACM Transactions on Reconfigurable Technology and Systems (TRETS)     Hybrid Journal   (Followers: 6)
ACM Transactions on Sensor Networks (TOSN)     Hybrid Journal   (Followers: 9)
ACM Transactions on Social Computing     Hybrid Journal  
ACM Transactions on Spatial Algorithms and Systems (TSAS)     Hybrid Journal   (Followers: 1)
ACM Transactions on Speech and Language Processing (TSLP)     Hybrid Journal   (Followers: 11)
ACM Transactions on Storage     Hybrid Journal  
ACS Applied Materials & Interfaces     Hybrid Journal   (Followers: 39)
Acta Informatica Malaysia     Open Access  
Acta Universitatis Cibiniensis. Technical Series     Open Access   (Followers: 1)
Ad Hoc Networks     Hybrid Journal   (Followers: 12)
Adaptive Behavior     Hybrid Journal   (Followers: 8)
Additive Manufacturing Letters     Open Access   (Followers: 3)
Advanced Engineering Materials     Hybrid Journal   (Followers: 32)
Advanced Science Letters     Full-text available via subscription   (Followers: 9)
Advances in Adaptive Data Analysis     Hybrid Journal   (Followers: 9)
Advances in Artificial Intelligence     Open Access   (Followers: 31)
Advances in Catalysis     Full-text available via subscription   (Followers: 7)
Advances in Computational Mathematics     Hybrid Journal   (Followers: 20)
Advances in Computer Engineering     Open Access   (Followers: 13)
Advances in Computer Science : an International Journal     Open Access   (Followers: 18)
Advances in Computing     Open Access   (Followers: 3)
Advances in Data Analysis and Classification     Hybrid Journal   (Followers: 52)
Advances in Engineering Software     Hybrid Journal   (Followers: 26)
Advances in Geosciences (ADGEO)     Open Access   (Followers: 19)
Advances in Human-Computer Interaction     Open Access   (Followers: 19)
Advances in Image and Video Processing     Open Access   (Followers: 20)
Advances in Materials Science     Open Access   (Followers: 19)
Advances in Multimedia     Open Access   (Followers: 1)
Advances in Operations Research     Open Access   (Followers: 13)
Advances in Remote Sensing     Open Access   (Followers: 59)
Advances in Science and Research (ASR)     Open Access   (Followers: 8)
Advances in Technology Innovation     Open Access   (Followers: 5)
AEU - International Journal of Electronics and Communications     Hybrid Journal   (Followers: 8)
African Journal of Information and Communication     Open Access   (Followers: 6)
African Journal of Mathematics and Computer Science Research     Open Access   (Followers: 5)
AI EDAM     Hybrid Journal   (Followers: 2)
Air, Soil & Water Research     Open Access   (Followers: 6)
AIS Transactions on Human-Computer Interaction     Open Access   (Followers: 5)
Al-Qadisiyah Journal for Computer Science and Mathematics     Open Access   (Followers: 2)
AL-Rafidain Journal of Computer Sciences and Mathematics     Open Access   (Followers: 3)
Algebras and Representation Theory     Hybrid Journal  
Algorithms     Open Access   (Followers: 13)
American Journal of Computational and Applied Mathematics     Open Access   (Followers: 8)
American Journal of Computational Mathematics     Open Access   (Followers: 6)
American Journal of Information Systems     Open Access   (Followers: 4)
American Journal of Sensor Technology     Open Access   (Followers: 2)
Analog Integrated Circuits and Signal Processing     Hybrid Journal   (Followers: 15)
Animation Practice, Process & Production     Hybrid Journal   (Followers: 4)
Annals of Combinatorics     Hybrid Journal   (Followers: 3)
Annals of Data Science     Hybrid Journal   (Followers: 14)
Annals of Mathematics and Artificial Intelligence     Hybrid Journal   (Followers: 16)
Annals of Pure and Applied Logic     Open Access   (Followers: 4)
Annals of Software Engineering     Hybrid Journal   (Followers: 12)
Annual Reviews in Control     Hybrid Journal   (Followers: 7)
Anuario Americanista Europeo     Open Access  
Applicable Algebra in Engineering, Communication and Computing     Hybrid Journal   (Followers: 3)
Applied and Computational Harmonic Analysis     Full-text available via subscription  
Applied Artificial Intelligence: An International Journal     Hybrid Journal   (Followers: 17)
Applied Categorical Structures     Hybrid Journal   (Followers: 4)
Applied Clinical Informatics     Hybrid Journal   (Followers: 4)
Applied Computational Intelligence and Soft Computing     Open Access   (Followers: 16)
Applied Computer Systems     Open Access   (Followers: 6)
Applied Computing and Geosciences     Open Access   (Followers: 3)
Applied Mathematics and Computation     Hybrid Journal   (Followers: 31)
Applied Medical Informatics     Open Access   (Followers: 11)
Applied Numerical Mathematics     Hybrid Journal   (Followers: 4)
Applied Soft Computing     Hybrid Journal   (Followers: 13)
Applied Spatial Analysis and Policy     Hybrid Journal   (Followers: 5)
Applied System Innovation     Open Access   (Followers: 1)
Archive of Applied Mechanics     Hybrid Journal   (Followers: 4)
Archive of Numerical Software     Open Access  
Archives and Museum Informatics     Hybrid Journal   (Followers: 97)
Archives of Computational Methods in Engineering     Hybrid Journal   (Followers: 5)
arq: Architectural Research Quarterly     Hybrid Journal   (Followers: 7)
Array     Open Access   (Followers: 1)
Artifact : Journal of Design Practice     Open Access   (Followers: 8)
Artificial Life     Hybrid Journal   (Followers: 7)
Asian Journal of Computer Science and Information Technology     Open Access   (Followers: 3)
Asian Journal of Control     Hybrid Journal  
Asian Journal of Research in Computer Science     Open Access   (Followers: 4)
Assembly Automation     Hybrid Journal   (Followers: 2)
Automatic Control and Computer Sciences     Hybrid Journal   (Followers: 6)
Automatic Documentation and Mathematical Linguistics     Hybrid Journal   (Followers: 5)
Automatica     Hybrid Journal   (Followers: 13)
Automatika : Journal for Control, Measurement, Electronics, Computing and Communications     Open Access  
Automation in Construction     Hybrid Journal   (Followers: 8)
Balkan Journal of Electrical and Computer Engineering     Open Access  
Basin Research     Hybrid Journal   (Followers: 7)
Behaviour & Information Technology     Hybrid Journal   (Followers: 32)
BenchCouncil Transactions on Benchmarks, Standards, and Evaluations     Open Access   (Followers: 3)
Big Data and Cognitive Computing     Open Access   (Followers: 5)
Big Data Mining and Analytics     Open Access   (Followers: 10)
Biodiversity Information Science and Standards     Open Access   (Followers: 1)
Bioinformatics     Hybrid Journal   (Followers: 216)
Bioinformatics Advances : Journal of the International Society for Computational Biology     Open Access   (Followers: 1)
Biomedical Engineering     Hybrid Journal   (Followers: 11)
Biomedical Engineering and Computational Biology     Open Access   (Followers: 11)
Briefings in Bioinformatics     Hybrid Journal   (Followers: 43)
British Journal of Educational Technology     Hybrid Journal   (Followers: 93)
Bulletin of Taras Shevchenko National University of Kyiv. Series: Physics and Mathematics     Open Access  
c't Magazin fuer Computertechnik     Full-text available via subscription   (Followers: 1)
Cadernos do IME : Série Informática     Open Access  
CALCOLO     Hybrid Journal  
CALICO Journal     Full-text available via subscription  
Calphad     Hybrid Journal  
Canadian Journal of Electrical and Computer Engineering     Full-text available via subscription   (Followers: 14)
Catalysis in Industry     Hybrid Journal  
CCF Transactions on High Performance Computing     Hybrid Journal  
CCF Transactions on Pervasive Computing and Interaction     Hybrid Journal  
CEAS Space Journal     Hybrid Journal   (Followers: 6)
Cell Communication and Signaling     Open Access   (Followers: 3)
Central European Journal of Computer Science     Hybrid Journal   (Followers: 4)
CERN IdeaSquare Journal of Experimental Innovation     Open Access  
Chaos, Solitons & Fractals     Hybrid Journal   (Followers: 1)
Chaos, Solitons & Fractals : X     Open Access   (Followers: 1)
Chemometrics and Intelligent Laboratory Systems     Hybrid Journal   (Followers: 13)
ChemSusChem     Hybrid Journal   (Followers: 7)
China Communications     Full-text available via subscription   (Followers: 8)
Chinese Journal of Catalysis     Full-text available via subscription   (Followers: 2)
Chip     Full-text available via subscription   (Followers: 2)
Ciencia     Open Access  
CIN : Computers Informatics Nursing     Hybrid Journal   (Followers: 11)
Circuits and Systems     Open Access   (Followers: 16)
CLEI Electronic Journal     Open Access  
Clin-Alert     Hybrid Journal   (Followers: 1)
Clinical eHealth     Open Access  
Cluster Computing     Hybrid Journal   (Followers: 1)
Cognitive Computation     Hybrid Journal   (Followers: 2)
Cognitive Computation and Systems     Open Access  
COMBINATORICA     Hybrid Journal  
Combinatorics, Probability and Computing     Hybrid Journal   (Followers: 4)
Combustion Theory and Modelling     Hybrid Journal   (Followers: 18)
Communication Methods and Measures     Hybrid Journal   (Followers: 12)
Communication Theory     Hybrid Journal   (Followers: 29)
Communications in Algebra     Hybrid Journal   (Followers: 1)
Communications in Partial Differential Equations     Hybrid Journal   (Followers: 2)
Communications of the ACM     Full-text available via subscription   (Followers: 59)
Communications of the Association for Information Systems     Open Access   (Followers: 15)
Communications on Applied Mathematics and Computation     Hybrid Journal   (Followers: 1)
COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering     Hybrid Journal   (Followers: 4)
Complex & Intelligent Systems     Open Access   (Followers: 1)
Complex Adaptive Systems Modeling     Open Access  
Complex Analysis and Operator Theory     Hybrid Journal   (Followers: 2)
Complexity     Hybrid Journal   (Followers: 8)
Computación y Sistemas     Open Access  
Computation     Open Access   (Followers: 1)
Computational and Applied Mathematics     Hybrid Journal   (Followers: 3)
Computational and Mathematical Methods     Hybrid Journal  
Computational and Mathematical Methods in Medicine     Open Access   (Followers: 2)
Computational and Mathematical Organization Theory     Hybrid Journal   (Followers: 1)
Computational and Structural Biotechnology Journal     Open Access   (Followers: 1)
Computational and Theoretical Chemistry     Hybrid Journal   (Followers: 11)
Computational Astrophysics and Cosmology     Open Access   (Followers: 6)
Computational Biology and Chemistry     Hybrid Journal   (Followers: 13)
Computational Biology Journal     Open Access   (Followers: 6)
Computational Brain & Behavior     Hybrid Journal   (Followers: 1)
Computational Chemistry     Open Access   (Followers: 3)
Computational Communication Research     Open Access   (Followers: 1)
Computational Complexity     Hybrid Journal   (Followers: 5)
Computational Condensed Matter     Open Access   (Followers: 1)

        1 2 3 4 5 6 7 | Last

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Balkan Journal of Electrical and Computer Engineering
Number of Followers: 0  

  This is an Open Access Journal Open Access journal
ISSN (Print) 2147-284X
Published by DergiPark Homepage  [187 journals]
  • A Prospective Look on Optimization Methods For RFID Systems: Requirements,
           Challenges and Implementation Aspects

    • Authors: Lida KOUHALVANDİ
      Abstract: The radio frequency identification (RFID) is a configuration of wireless communication that uses radio frequency (RF) waves for following up and recognizing data. The RFID system includes important parts as antenna and integrated circuit (IC) for radiating and storing data, respectively. Hence, high performance antenna and IC circuits must be designed for assembling the energy from the radio waves and feeding the RFID chip. One of the important circuit/block in the IC part is the amplifier where the antenna is sensing the radiated output power. For this case, it is substantially important to design high performance antenna and amplifier where the specifications of these circuits must be optimized in a professional way. In this paper, we collect the recently published optimization methods that are employed for designing antenna and RF/analog-based amplifiers. Any researcher by referring to these algorithms can access and find the solutions for their problems, straightforwardly.
      PubDate: Sat, 30 Apr 2022 00:00:00 +030
       
  • Machine Learning based Early Prediction of Type 2 Diabetes: A New Hybrid
           Feature Selection Approach using Correlation Matrix with Heatmap and SFS

    • Authors: Selim BUYRUKOĞLU; Ayhan AKBAŞ
      Abstract: A new hybrid machine learning method for the prediction of type 2 diabetes is introduced and explained in detail. Also, outcomes are compared with similar researches. Early prediction of diabetes is crucial to take necessary measures (i.e. changing eating habits, patient weight control etc.), to defer the emergence of diabetes and to reduce the death rate to some extent and ease medical care professionals’ decision-making in preventing and managing diabetes mellitus. The purpose of this study is the creation of a new hybrid feature selection approach combination of Correlation Matrix with Heatmap and Sequential forward selection (SFS) to reveal the most effective features in the detection of diabetes. A diabetes data set with 520 instances and seven features were studied with the application of the proposed hybrid feature selection approach. The evaluation of the selected optimal features was measured by applying Support Vector Machines(SVM), Random Forest(RF), and Artificial Neural Networks(ANN) classifiers. Five evaluation metrics, namely, Accuracy, F-measure, Precision, Recall, and AUC showed the best performance with ANN (99.1%), F-measure (99.1%), Precision (99.3%), Recall (99.1%), and AUC (99.2%). Our proposed hybrid feature selection model provided a more promising performance with ANN compared to other machine learning algorithms.
      PubDate: Sat, 30 Apr 2022 00:00:00 +030
       
  • A 0.6-V 11-uW PVT tolerant DTMOS inverter based OTA

    • Authors: Mesut ATASOYU
      Abstract: This paper presents the design of a process-voltage-temperature (PVT) variation tolerant inverter-based operational transconductance amplifier (OTA) employing both a dynamic threshold MOS (DTMOS) technique and a constant voltage biasing (CVB) scheme. The proposed inverter-based OTA offers a higher bandwidth due to implemented DTMOS technique, which realizes higher input transconductance value than a conventional inverter-based OTA design. Simulation results show that the proposed OTA achieves superior slow-slow (SS) corner performance under PVT variations than the conventional inverter-based OTA while consuming only 11-uW and providing a figure of merit (FoM) of 7.0-MHz.pF/uA. As a result, DC gain and unity-gain bandwidth (UGBW) of the proposed OTA improve by 27% and 32% at SS corner under the PVT variations, respectively.
      PubDate: Sat, 30 Apr 2022 00:00:00 +030
       
  • Lidar-based Robot Detection and Positioning using Machine Learning Methods

    • Authors: Zahir YILMAZ; Levent BAYINDIR
      Abstract: This paper presents a machine learning-based kin detection method for multi-robotic and swarm systems. Detecting surrounding objects and distinguishing robots from these objects (kin detection) are essential in most of the multi-robotic applications. While infrared, ultrasonic, vision systems had been mainly used for applying the robot detection and relative positioning task in the literature, studies that use the Lidar-based approach is limited. The proposed method uses the Lidar sensor to discover the work area and determine the distance and the angle of all kin members relative to the observer robot. The main steps of the proposed method can be summarized as follows: 1) the Lidar distance points are read and stored as a vector with some pre-processing, 2) the acquired distance points representing different objects in the environment are separated from each other using a segmentation method, 3) in order to classify the segmented objects, the segment classification process starts with extracting five features for each object, then these features are fed to various machine learning classification algorithms to distinguish the kin robots, 4) the segments classified as a kin robot in the previous step are handled and the relative position is found for each of them. A new mobile robot prototype has been modeled and equipped with a Lidar sensor using ROS platform. Lidar has been used to collect data and four different classification methods have been tested to verify the efficiency of the method using Gazebo simulation platform.
      PubDate: Sat, 30 Apr 2022 00:00:00 +030
       
  • The Use of Kalman Filter in Control The PanTilt Two-Axis Robot With
           Wearable System

    • Authors: Temel SÖNMEZOCAK
      Abstract: Today, the use of MEMS-based control-based unmanned aerial vehicles is becoming widespread. It is important that the systems used for the control of unmanned aerial vehicles are used sensitively. In this study, a wearable MEMS gyroscope-based headband is designed for the remote control of unmanned aerial vehicles. This system provides vibration-free control of the rotation angles of the motors in the direction of the camera connected to the 2-axis robotic pan-tilt system based on human-machine interaction. In addition, the signals produced by MEMS, the vibrations caused by electrical noise in the motors due to human interaction and environmental factors, are effectively eliminated with the Kalman filter. In this way, the images transmitted to the pilot become smoother. Therefore, it is cost-effective as it eliminates the need for additional hardware filtering structures.
      PubDate: Sat, 30 Apr 2022 00:00:00 +030
       
  • Coefficient Diagram Method Based Decentralized Controller for Fractional
           Order TITO Systems

    • Authors: Furkan Nur DENİZ; Miray GÜNAY
      Abstract: Fractional calculus has gained increasing attention from researchers because of providing accurate modelling and flexible controller design in control applications. More research to design controllers for Fractional Order Two-Input Two-Output (FOTITO) systems, which inherently have certain difficulties, is needed when the studies about these control applications are considered. In this study, Coefficient Diagram Method (CDM) based decentralized controllers are designed for FOTITO systems. For this, integer order approximate models of FOTITO systems are obtained and decoupled into two subsystems by using simplified and inverted decoupling configurations. Obtained high-order approximate subsystem transfer functions are reduced by a model reduction method to facilitate CDM-based decentralized controller design. Then, CDM-based decentralized controllers are designed for each subsystem, which enables to obtain the controllers of the FOTITO system. Simulation results for two different FOTITO systems, one of which is a time delay fractional order system, are demonstrated that the proposed approach exhibits successful performance.
      PubDate: Sat, 30 Apr 2022 00:00:00 +030
       
  • Estimation by ANN of Luminous Efficacy of Lamps Used for Lighting

    • Authors: Züleyha OK DAVARCI; Mustafa ŞAHİN, Onur AKAR
      Abstract: The increase in energy production costs, and the increasing demand for energy have made energy saving necessary. Energy saving in lighting is able to be actualized by providing economically the same level of light without decreasing the illumination quality. A good lighting is possible by directing required amount of light to spaces desired to be lit. For a good lighting, efficiency factor is a significant measure. By adjusting the luminous efficacy in lamps, the electric energy to be consumed by the lamps is able to be minimized. The electric energy consumed for producing luminous energy will be less at the extent of greatness of luminous efficacy. In this study, the luminous efficacy of lamps of different brands were estimated by the use of data regarding voltage rating, power rating, and total luminous rating of lamps. According to the results of the analysis made by the developed ANN model, the luminous efficacy of lamps of different brands were estimated with an accuracy rate of above 98%. Regarding the lighting systems to be developed, the selection of lamps will be made based on their ability to provide economically the same level of light without decreasing the lighting quality, and to provide the required luminous efficacy for increasing the luminous efficacy.
      PubDate: Sat, 30 Apr 2022 00:00:00 +030
       
  • A Weakly Supervised Clustering Method for Cancer Subgroup Identification

    • Authors: Duygu OZCELİK; Öznur TAŞTAN
      Abstract: Identifying subgroups of cancer patients is important as it opens up possibilities for targeted therapeutics. A widely applied approach is to group patients with unsupervised clustering techniques based on molecular data of tumor samples. The patient clusters are found to be of interest if they can be associated with a clinical outcome variable such as the survival of patients. However, these clinical variables of interest do not participate in the clustering decisions. We propose an approach, WSURFC (Weakly Supervised Random Forest Clustering), where the clustering process is weakly supervised with a clinical variable of interest. The supervision step is handled by learning a similarity metric with features that are selected to predict this clinical variable. More specifically, WSURFC involves a random forest classifier-training step to predict the clinical variable, in this case, the survival class. Subsequently, the internal nodes are used to derive a random forest similarity metric among the pairs of samples. In this way, the clustering step utilizes the nonlinear subspace of the original features learned in the classification step. We first demonstrate WSURFC on hand-written digit datasets, where WSURFC is able to capture salient structural similarities of digit pairs. Next, we apply WSURFC to find breast cancer subtypes using mRNA, protein, and microRNA expressions as features. Our results on breast cancer show that WSURFC could identify interesting patient subgroups more effectively than the widely adopted methods.
      PubDate: Sat, 30 Apr 2022 00:00:00 +030
       
  • Performance Analysis of Three Levels Three Switches Vienna-Type Rectifier
           Based on Direct Power Control

    • Authors: Doğan ÇELİK
      Abstract: The Vienna-type rectifier is broadly employed in various implementations thanks to realizable three-level operation, simple structure and controllable DC-link voltage. This paper proposes an adaptive proportional integral (PI) with anti-windup based direct power control (DPC) to improve dynamic response during load change, DC-link voltage step change and start up and to reduce current tracking errors. An adaptive PI with anti-windup DC-link voltage control is utilized to enhance dynamic response of the DC-link voltage and the instantaneous power because the PI regulator affected by the load change and system parameter variations. The PI based conventional power control is used to indicate the availability and accuracy of the proposed control strategy. The proposed control strategy performs outstanding performance and copes with vigorous disturbances in contrast to the conventional strategy. A detailed theoretical analysis of the proposed approach has been performed. Extensive case studies carried out by PSIM software are performed to validate the excellent behavior of the proposed control strategy.
      PubDate: Sat, 30 Apr 2022 00:00:00 +030
       
  • Assessment of Epileptic Seizures and Non-Epileptic Seizures via Wearable
           Sensors and Priori Detection of Epileptic Seizures

    • Authors: Ömer Faruk ERTUĞRUL; Yasin SÖNMEZ, Necmettin SEZGİN, Eşref AKIL
      Abstract: Epilepsy is one the most prevalent neurological disorders whose causes are not exactly known. Diagnosis and treatment of epilepsy are closely related to the patient's story, and the most important indicator is the frequency and severity of seizures. Since the disease does not only affect the patients but also the lives of their environment seriously, it is very important to make the diagnosis and treatment correctly. However, sometimes misrecognition from patients and their relatives, unnecessary epilepsy treatment to the patient in non-epileptic seizures mixed with epileptic seizures, or increasing the dose of the drugs used for the patient are the situations frequently encountered. The so-called video-EEG method is used in the detection and segregation of epileptic / non-epileptic seizures. In this method, the patient is kept in an environment where video recording is continuously taken until the seizure occurs, and EEG, EMG, and ECG records of the patient are taken. When the patient has a seizure, the seizure type is separated by examining these records. In this project, seizure detection and seizure type (epileptic / non-epileptic) detection is aimed to be done by using wearable sensors increasingly applied in the field of health. The achievable benefits from the project and data set will provide a different perspective on the epilepsy illness, as well as reduce the number of epilepsy patients who are not in fact epilepsy patients needing treatment, and keep epileptic seizure recordings constantly in the electronic environment so that the treatment processes are monitored more closely.
      PubDate: Sat, 30 Apr 2022 00:00:00 +030
       
  • Stabilization of Chaos in a Cancer Model: The Effect of Oncotripsy

    • Authors: Serpil YILMAZ
      Abstract: There has been much interest in the development of therapies for the prevention and treatment of tumours. Recently, the method of oncotripsy has been proposed to destroy cancer cells by applying the ultrasound harmonic excitations at the resonant frequency of cancer cells. In this study, periodic disturbances whose frequency tuned to the fundamental frequency and the higher harmonics of the cancer cells are applied to a tumour growth model, respectively, and the appearance of periodic behaviors in a three-dimensional chaotic cancer model is investigated as a result of those harmonic excitations. The numerical results show that by choosing the appropriate values of the parameters of periodic disturbances, the chaotic cancer model induces periodic behaviors such as period-one and two limit cycles which may have important implications on cancer treatment. The results also provide a view to understanding the oncotripsy effect within the framework of stabilization of chaos.
      PubDate: Sat, 30 Apr 2022 00:00:00 +030
       
  • Fractional Integration Based Feature Extractor for EMG Signals

    • Authors: İbrahim Ethem SAÇU
      Abstract: Electromyography (EMG) signals have been extensively used for identification of finger movements, hand gesturesand physical activities. In the classification of EMG signals, theperformance of the classifier is widely determined by the featureextraction methods. Thus, plenty of feature extraction methodsbased on time, histogram and frequency domain have beenreported in literature. However, these methods have several drawbacks such as high time complexity, high computation demandand user supplied parameters. To overcome these deficiencies, inthis work, a new feature extraction method has been proposedto classify EMG signals taken from two different data sets fingermovements (FM) and physical actions (PA). While FM data setincludes 14 different finger movements, PA data set involves20 different physical activities. The proposed method is basedon numerical fractional integration of time series EMG signalswith different fractional-orders. K Nearest Neighborhood (KNN)classifier with 8-fold cross validation has been employed forprediction of EMG signals. The derived fractional features cangive better results than the two commonly used time domainfeatures, notably, mean absolute value (MAV) and waveformlength (WL) in terms of accuracy. The experimental results arealso supported by statistical analysis results.
      PubDate: Sat, 30 Apr 2022 00:00:00 +030
       
  • A Dual-Radio Hybrid Mesh Topology for Multi-Hop Industrial IoT Networks in
           Harsh Environments

    • Authors: Hasari ÇELEBİ
      Abstract: Industrial Internet of things (IIoT) is a paradigmthat changes the way people interact with infrastructures byenabling ubiquitous connection to the Internet. It allows todesign connected infrastructures in industrial environments, e.g.,factories, in order to support innovative services and improveefficiency. While the advantages of IIoT are numerous, it hassome fundamental issues such as propagation of signal throughmetallic obstacles, i.e., walls in industrial environments. Toaddress this issue, we propose a hybrid wired-wireless meshnode and network topology called hybrid mesh network (HMN),enabling the signal to cross over the metallic obstacles in harshenvironments. The proposed hybrid mesh node utilizes dualradiofeature of IEEE 802.11 Wi-Fi standard to improve theperformance of the proposed HMN further considering multihopcommunications. The effects of the packet size and differentfading channels on the performance of the proposed HMNare investigated through various simulations. In addition, theperformance of the proposed HMN is compared with that ofconventional wireless mesh network (WMN). The results revealthat the proposed HMN outperforms conventional WMN and theproposed topology is promising for the implementation of highperformance wireless mesh networks in harsh environments.
      PubDate: Sat, 30 Apr 2022 00:00:00 +030
       
  • Distributed Formation Control Algorithm for Improved String Stability in
           Heterogenic Vehicle Platoons

    • Authors: Serhat İKİZOĞLU
      Abstract: Achieving speed, safety and energy optimization in vehicle platoons is among the important topics of recent years. In this context, this work focuses on improving the string stability (SS) of heterogeneous platoons. Better SS allows for smaller gap between vehicles, which means shorter time headway for Cooperative Adaptive Cruise Control (CACC) or inter-vehicle following-distance for platooning. Shorter time headway or inter-vehicle distance results in better road use and less fuel consumption. Rather than compensating for dynamic differences by means of low level control schemes by implementing pre-compensators at vehicle level, this work takes a different approach, where a higher level of control is preferred to improve SS: The platoon formation. To achieve this, it is important to ensure that each vehicle is in its optimum position in the platoon based on its dynamics for highest string stability. This generally leads to the vehicle with highest inertia to lead the platoon and the lowest one as the last follower. In this study, a platoon formation algorithm is proposed to run on each vehicle, leading to an optimum overall string structure. The efficiency of the algorithm is demonstrated by simulations in Matlab(R) for a four-vehicle platoon.
      PubDate: Sat, 30 Apr 2022 00:00:00 +030
       
 
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