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Articles 1111 - 1140 of 1200
Full-Text Articles in Computer Engineering
A Predictive Modeling Approach For Improving Paddy Crop Productivity Using Data Mining Techniques, Anitha Arumugam
A Predictive Modeling Approach For Improving Paddy Crop Productivity Using Data Mining Techniques, Anitha Arumugam
Turkish Journal of Electrical Engineering and Computer Sciences
Agriculture has a great impact on the economy of developing countries. To provide food security for people, there is a need for improving the productivity of major crops. Rapidly changing climatic conditions and the cost of investment in agriculture are major barriers for small-holder farmers. The proposed research aims to develop a predictive model that provides a cultivation plan for farmers to get high yield of paddy crops using data mining techniques. Unlike statistical approaches, data mining techniques extract hidden knowledge through data analysis. The data set used in this research for mining process is real data collected from farmers …
A Probabilistic Scenario-Based Framework For Solving Stochastic Dynamic Economic Emission Dispatch With Unit Commitment, Yachao Zhang, Kaipei Liu, Xiaobing Liao, Liang Qin, Xueli An
A Probabilistic Scenario-Based Framework For Solving Stochastic Dynamic Economic Emission Dispatch With Unit Commitment, Yachao Zhang, Kaipei Liu, Xiaobing Liao, Liang Qin, Xueli An
Turkish Journal of Electrical Engineering and Computer Sciences
This paper establishes a probabilistic scenario-based framework for the stochastic dynamic economic emission dispatch with unit commitment (SDEED-UC) problem, by considering wind power integration. The scenario generation and reduction method are implemented to describe wind power uncertainty. Accordingly, each wind power scenario is analyzed separately to determine the on/off status of the units. As for a predetermined significance level, the UC scheduling solution can be obtained with a probabilistic point of view, considering all the original scenarios. Then the SDEED problem is converted into a number of deterministic scheduling problems. For each scenario in the reduced set, an enhanced multiobjective …
Discovering The Relationships Between Yarn And Fabric Properties Using Association Rule Mining, Peli̇n Yildirim, Derya Bi̇rant, Tuba Alpyildiz
Discovering The Relationships Between Yarn And Fabric Properties Using Association Rule Mining, Peli̇n Yildirim, Derya Bi̇rant, Tuba Alpyildiz
Turkish Journal of Electrical Engineering and Computer Sciences
Investigation of the effects of yarn parameters on fabric quality and finding important parameters to achieve desired fabric properties are important issues for the design process with the aim to meet the needs of the textile industry and the consumer for complex and specific requirements of functionality. Despite many statistical and mathematical studies that predict and reveal specific properties of utilized yarn and fabric materials, a number of challenges continue to exist when evaluated in many perspectives, such as discovering complex relationships among material properties in data. Data mining plays an important role in discovering hidden patterns from fabric data …
A Random Number Generator For Lightweight Authentication Protocols: Xorshiftr+, Umut Can Çabuk, Ömer Aydin, Gökhan Dalkiliç
A Random Number Generator For Lightweight Authentication Protocols: Xorshiftr+, Umut Can Çabuk, Ömer Aydin, Gökhan Dalkiliç
Turkish Journal of Electrical Engineering and Computer Sciences
This paper presents the results of research that aims to find a suitable, reliable, and lightweight pseudorandom number generator for constrained devices used in the Internet of things. Within the study, three reduced versions of the xorshift+ generator are built. They are tested using the TestU01 suite as well as the NIST suite to measure their ability to produce randomness and performance values along with some other existing generators. The best of our reduced variations according to our tests, called the xorshiftR+, demonstrated great suitability for lightweight devices considering its randomness, performance, and resource usage.
Stock Daily Return Prediction Using Expanded Features And Feature Selection, Hakan Gündüz, Zehra Çataltepe, Yusuf Yaslan
Stock Daily Return Prediction Using Expanded Features And Feature Selection, Hakan Gündüz, Zehra Çataltepe, Yusuf Yaslan
Turkish Journal of Electrical Engineering and Computer Sciences
Stock market prediction is a very noisy problem and the use of any additional information to increase accuracy is necessary. In this paper, for the stock daily return prediction problem, the set of features is expanded to include indicators not only for the stock to be predicted itself but also a set of other stocks and currencies. Afterwards, different feature selection and classification methods are utilized for prediction. The daily close returns of the 3 most traded stocks (GARAN, THYAO, and ISCTR) in Borsa İstanbul (BIST) are predicted using indicators computed on those stocks, indicators for all the other stocks …
An Improved Omthd Technique For An N-Level Cascaded Multilevel Inverter With Adjustable Dc Sources, Hamidreza Toodeji
An Improved Omthd Technique For An N-Level Cascaded Multilevel Inverter With Adjustable Dc Sources, Hamidreza Toodeji
Turkish Journal of Electrical Engineering and Computer Sciences
Optimal minimization of total harmonic distortion (OMTHD) and selective harmonic elimination (SHE) switching techniques are usually employed to reduce generated harmonics of multilevel inverters. In the former technique, the THD of waveform is reduced without elimination of any harmonic order and the latter, in contrast, eliminates selected harmonic orders. In this paper, the harmonic elimination ability of the SHE technique is added to OMTHD and an improved OMTHD technique is proposed for an n-level cascaded multilevel inverter with adjustable DC sources. The main novelty of this switching technique is elimination of some harmonic orders, beside THD minimization. Moreover, optimal DC …
On The Design Of Equal Division Single-Band Filtering Dividers With An Extended Transmission Line And Resistor As Isolation Elements, Zafar Bedar Khan, Huiling Zhao
On The Design Of Equal Division Single-Band Filtering Dividers With An Extended Transmission Line And Resistor As Isolation Elements, Zafar Bedar Khan, Huiling Zhao
Turkish Journal of Electrical Engineering and Computer Sciences
This paper introduces a new scheme for effective output port isolation and return loss in RF-filtering divider design. The proposed design incorporates an extended transmission line and a conventional resistor as isolation elements. The technique has a simpler microstrip circuit implementation when it comes to the integration of a single-band band-pass filter with a Wilkinson power divider to achieve simultaneous filtering-dividing action. It is established that if a band-pass filter with a certain fractional-bandwidth is matched to 70.7 $\Omega $, a transmission line section and isolation resistor are sufficient for achieving reasonable output port return loss and isolation in the …
Development Of Metal Oxide Arrester Block Using A Rare Earth Element For Very Fast Transient Overvoltage Applications, Kannadasan Raju, Valsalal Prasad, Jayavel Ramasamy
Development Of Metal Oxide Arrester Block Using A Rare Earth Element For Very Fast Transient Overvoltage Applications, Kannadasan Raju, Valsalal Prasad, Jayavel Ramasamy
Turkish Journal of Electrical Engineering and Computer Sciences
The protection ability of metal oxide arresters against switching, lightning, and steep current surges has been well proven. On the contrary, during the invasion of very fast transients, the existing arrester fails to operate due to delay in its initial response. In order to decrease the delay, it is imperative to improve the electrical properties of the arrester such as nonlinearity and voltage gradient with reduced capacitive effect. In this context, new arrester blocks are developed with the addition of a rare earth element, namely scandium trioxide (Sc$_{2}$O$_{3})$, and then sintered with a microwave sintering process. Owing to the uniform …
New Patterson-Wiedemann Type Functions With 15 Variables In The Generalized Rotation-Symmetric Class, Selçuk Kavut
New Patterson-Wiedemann Type Functions With 15 Variables In The Generalized Rotation-Symmetric Class, Selçuk Kavut
Turkish Journal of Electrical Engineering and Computer Sciences
Recently, it was shown that there is no Boolean function on 15 variables with nonlinearity greater than 16276 in the class of functions that are invariant under the action of GF(2$^{3})^{\ast }\times GF(2^{5})^{\ast }$. In this study, we consider some important subsets of this class and perform an efficient enumeration of the 15-variable Patterson-Wiedemann (PW) type functions with nonlinearity greater than the bent concatenation bound 16256 in the generalized classes of both 3-RSBFs and 5-RSBFs for which the corresponding search spaces are 2$^{28.2}$ and 2$^{47.85}$, respectively. For the case of 3-RSBFs, we find that there are 32 functions with nonlinearity …
Effect Of Stator Permanent Magnet Thickness And Rotor Geometry Modifications On The Minimization Of Cogging Torque Of A Flux Reversal Machine, Bheeman Vidhya, Kandadai Nagaratnam Srinivas
Effect Of Stator Permanent Magnet Thickness And Rotor Geometry Modifications On The Minimization Of Cogging Torque Of A Flux Reversal Machine, Bheeman Vidhya, Kandadai Nagaratnam Srinivas
Turkish Journal of Electrical Engineering and Computer Sciences
This paper attempts to examine the effect of stator-rotor geometry on the minimization of cogging torque of a flux reversal generator (FRG). With respect to stator geometry, height (or thickness) of the permanent magnets of the stator poles was varied and cogging torque minimization was observed. With respect to rotor geometry, the following cases were considered: a) rotor pole arc variation and b) V-shaped punches on the rotor pole. The characterization of FRG under these cases for the observation of the effects on cogging torque was performed using three-dimensional finite element analysis. From the results of simulation, a model was …
Probabilistic Day-Ahead System Marginal Price Forecasting With Ann For The Turkish Electricity Market, Erdem Özgüner, Osman Bülent Tör, Ali̇ Nezi̇h Güven
Probabilistic Day-Ahead System Marginal Price Forecasting With Ann For The Turkish Electricity Market, Erdem Özgüner, Osman Bülent Tör, Ali̇ Nezi̇h Güven
Turkish Journal of Electrical Engineering and Computer Sciences
This study presents a system day-ahead hourly market clearing price forecasting tool for the day-ahead (DA) market and a system DA hourly marginal price forecasting tool for the real-time market of the Turkish electric market (TEM). These forecasting tools are developed based on artificial neural networks (ANNs). A series of historical price data of the TEM are utilized to model and optimize the ANN structure and to develop the ANN-based price forecasting tool. The methodology used to select the optimum ANN architecture provides the minimum daily mean absolute percentage error for both day-ahead market prices in the TEM. Performances of …
Dynamic Model To Predict Ac Critical Flashover Voltage Of Nonuniformly Polluted Insulators Under Thermal Ionization Conditions, Saeed Shahabi, Ahmad Gholami
Dynamic Model To Predict Ac Critical Flashover Voltage Of Nonuniformly Polluted Insulators Under Thermal Ionization Conditions, Saeed Shahabi, Ahmad Gholami
Turkish Journal of Electrical Engineering and Computer Sciences
This paper presents a theoretical dynamic model based on the Hampton criterion and Mayr's equation for predicting the critical values of flashover on the surface of nonuniformly polluted cap and pin porcelain insulators. The nonuniform pollution layer on the surface of the insulator, the number of disk insulator units, and the geometry of the insulator such as diameter and ribs are the important factors used for prediction. Two types of pollution layer configuration, linear and graded, are introduced as nonuniform pollution layers. The influences of the nonuniform pollution layer on critical flashover voltage are investigated. Furthermore, a random value is …
Automatic Reduction Of Periodic Noise In Images Using Adaptive Gaussian Star Filter, Seni̇ha Ketenci̇, Ali̇ Gangal
Automatic Reduction Of Periodic Noise In Images Using Adaptive Gaussian Star Filter, Seni̇ha Ketenci̇, Ali̇ Gangal
Turkish Journal of Electrical Engineering and Computer Sciences
The reduction of noise in images is a crucial issue and an inevitable preprocessing step in image analysis. Many diverse noise sources, which disrupt source images, exist in nature and through manmade devices. Periodic noise is one such disruption that has a periodic pattern in the spatial domain, causing hills in the image spectrum. In practice, quasiperiodic noise is commonly encountered instead of periodic noise. It has a more complex frequency spectrum, such as a star shape, in place of a pure delta shape in the frequency amplitude spectrum. In this study, we consider designing a star shape Gaussian filter …
Bayesian Estimation Of Discrete-Time Cellular Neural Network Coefficients, Hakan Meti̇n Özer, Ati̇lla Özmen, Habi̇b Şenol
Bayesian Estimation Of Discrete-Time Cellular Neural Network Coefficients, Hakan Meti̇n Özer, Ati̇lla Özmen, Habi̇b Şenol
Turkish Journal of Electrical Engineering and Computer Sciences
A new method for finding the network coefficients of a discrete-time cellular neural network (DTCNN) is proposed. This new method uses a probabilistic approach that itself uses Bayesian learning to estimate the network coefficients. A posterior probability density function (PDF) is composed using the likelihood and prior PDFs derived from the system model and prior information, respectively. This posterior PDF is used to draw samples with the help of the Metropolis algorithm, a special case of the Metropolis-Hastings algorithm where the proposal distribution function is symmetric, and resulting samples are then averaged to find the minimum mean square error (MMSE) …
Turkish Entity Discovery With Word Embeddings, Murat Kalender, Emi̇n Erkan Korkmaz
Turkish Entity Discovery With Word Embeddings, Murat Kalender, Emi̇n Erkan Korkmaz
Turkish Journal of Electrical Engineering and Computer Sciences
Entity-linking systems link noun phrase mentions in a text to their corresponding knowledge base entities in order to enrich a text with metadata. Wikipedia is a popular and comprehensive knowledge base that is widely used in entity-linking systems. However, long-tail entities are not popular enough to have their own Wikipedia articles. Therefore, a knowledge base created by using Wikipedia entities would be limited to only popular entities. In order to overcome the knowledge base coverage limitation of Wikipedia-based entity-linking systems, this paper presents an entity-discovery system that can detect semantic types of entities that are not defined in Wikipedia. The …
A Cnfet Full Adder Cell Design For High-Speed Arithmetic Units, Mokhtar Mohammadi Ghanaghestani, Behnam Ghavami, Honeya Salehpour
A Cnfet Full Adder Cell Design For High-Speed Arithmetic Units, Mokhtar Mohammadi Ghanaghestani, Behnam Ghavami, Honeya Salehpour
Turkish Journal of Electrical Engineering and Computer Sciences
Carbon nanotube field-effect transistors (CNFETs) utilize an array of carbon nanotubes as the channel material instead of bulk silicon in the traditional MOSFET structure, which holds great promise for the future of integrated circuits. In this paper, a full adder cell based on a parallel design using CNFETs is presented. The main objective of designing this full adder cell is to reduce critical path delay in CNFET-based adder circuits. The proposed design positively affects speed and power consumption by shortening the data path. In order to evaluate the proposed design, several simulations were performed with different load capacitors, frequencies, and …
A Ternary Zero-Correlation Zone Sequence Sets Construction Procedure, Mouad Addad, Ali Djebbari
A Ternary Zero-Correlation Zone Sequence Sets Construction Procedure, Mouad Addad, Ali Djebbari
Turkish Journal of Electrical Engineering and Computer Sciences
In the present paper, we propose ternary zero-correlation zone (ZCZ) sequence sets with ideal correlation properties for phase shifts within the ZCZ. The proposed ternary ZCZ sequence sets can be constructed from binary mutually orthogonal complementary sets (MOCS) and ternary perfect sequences.
Analysis Of Feature Detector And Descriptor Combinations With A Localization Experiment For Various Performance Metrics, Ertuğrul Bayraktar, Pinar Boyraz
Analysis Of Feature Detector And Descriptor Combinations With A Localization Experiment For Various Performance Metrics, Ertuğrul Bayraktar, Pinar Boyraz
Turkish Journal of Electrical Engineering and Computer Sciences
The purpose of this study is to provide a detailed performance comparison of feature detector/descriptor methods, particularly when their various combinations are used for image-matching. The localization experiments of a mobile robot in an indoor environment are presented as a case study. In these experiments, 3090 query images and 127 dataset images were used. This study includes five methods for feature detectors (features from accelerated segment test (FAST), oriented FAST and rotated binary robust independent elementary features (BRIEF) (ORB), speeded-up robust features (SURF), scale invariant feature transform (SIFT), and binary robust invariant scalable keypoints (BRISK)) and five other methods for …
Design And Realization Of A Novel Planar Array Antenna And Low Power Lna For Ku-Band Small Satellite Communications, Lida Kouhalvandi, Osman Ceylan, Selçuk Paker, Hasan Bülent Yağci
Design And Realization Of A Novel Planar Array Antenna And Low Power Lna For Ku-Band Small Satellite Communications, Lida Kouhalvandi, Osman Ceylan, Selçuk Paker, Hasan Bülent Yağci
Turkish Journal of Electrical Engineering and Computer Sciences
This article presents both a four-element novel microstrip array antenna and a low noise amplifier (LNA) for a Ku-band small satellite receiver. It includes all design details with measurement results of the fabricated array antenna and LNA. Measured minimum and maximum gains of the proposed antenna are 10.1 and 10.9 dBi in 11.9-12.9 GHz band frequency. The designed LNA has a noise figure lower than 1.5 dB and gain higher than 8 dB (at 2 V, 10 mA biasing). In order to reduce the design period and cost, discrete components are chosen and a hetero-junction FET is used as the …
An Extremely Wideband Radome-Enclosed Cylindrical Dipole Antenna For Wireless Communication, Tariq Rahim, Jiadong Xu
An Extremely Wideband Radome-Enclosed Cylindrical Dipole Antenna For Wireless Communication, Tariq Rahim, Jiadong Xu
Turkish Journal of Electrical Engineering and Computer Sciences
A radome-enclosed extremely wideband cylindrical dipole antenna for wireless communications applications was proposed with a simple structure. The antenna is fed at the center with the help of a coaxial cable through the lower hollow metallic pole. The feed area is composed of cones at both sides in order to obtain wideband impedance matching. The proposed antenna can cover 1.8 GHz to 28 GHz with S11 of less than -10 dB and excellent stable omnidirectional radiation characteristics. However, at high frequencies, some ripples are introduced in the radiation pattern. The frequency band of the cylindrical dipole antenna can be controllable …
Design And Operation Of A Multifunction Photovoltaic Power System With Shunt Active Filtering Using A Single-Stage Three-Phase Multilevel Inverter, Serkan Sezen, Ahmet Aktaş, Mehmet Uçar, Engi̇n Özdemi̇r
Design And Operation Of A Multifunction Photovoltaic Power System With Shunt Active Filtering Using A Single-Stage Three-Phase Multilevel Inverter, Serkan Sezen, Ahmet Aktaş, Mehmet Uçar, Engi̇n Özdemi̇r
Turkish Journal of Electrical Engineering and Computer Sciences
In this paper, the control of a multifunction grid-connected photovoltaic (PV) system with a three-phase three-level (3L) neutral point clamped (NPC) inverter is proposed, which can perform shunt active filtering. Normally, the shunt active filtering is achieved by detecting the harmonic and reactive currents of the nonlinear load and then injecting the compensating current into the grid. Therefore, the proposed system can inject PV power to a grid with power factor correction and current harmonic filtering features simultaneously. In addition, a single-stage compact and efficient transformerless power conversion topology is used in this paper for the grid-connected solar PV system …
Effect Of Micro/Nano-Sio$_{2}$ On Mechanical, Thermal, And Electrical Properties Of Silicone Rubber, Epoxy, And Epdm Composites For Outdoor Electrical Insulations, Hidayatullah Khan, Muhammad Amin, Muhammad Ali, Muhammad Iqbal, Muhammad Yasin
Effect Of Micro/Nano-Sio$_{2}$ On Mechanical, Thermal, And Electrical Properties Of Silicone Rubber, Epoxy, And Epdm Composites For Outdoor Electrical Insulations, Hidayatullah Khan, Muhammad Amin, Muhammad Ali, Muhammad Iqbal, Muhammad Yasin
Turkish Journal of Electrical Engineering and Computer Sciences
In this paper the influence of micro-sized (3 $\mu $m) and nano-sized (10 nm) silica (SiO$_{2})$ on mechanical, thermal, and electrical properties of silicon rubber (SiR), epoxy, and ethylene propylene diene monomer (EPDM) composites is presented. The micro- and nano-sized SiO$_{2}$ particle-filled SiR, epoxy, and EPDM composites were formulated with 20% microsilica and 5% nanosilica by weight respectively. Among these composites, SiR-SiO$_{2}$ amalgamation was performed by mixing using an ultrasonication procedure. Epoxy-SiO$_{2}$ was compounded in two steps, i.e. dispersion of fillers and mixing, whereas EPDM-SiO$_{2}$ compounding was performed with a two roll mill technique. With the addition of micro/nano-SiO$_{2}$, the …
Threshold Distance-Based Cluster Routing Protocols For Static And Mobile Wireless Sensor Networks, Padmavati Khandnor, Trilok Aseri
Threshold Distance-Based Cluster Routing Protocols For Static And Mobile Wireless Sensor Networks, Padmavati Khandnor, Trilok Aseri
Turkish Journal of Electrical Engineering and Computer Sciences
In cluster-based wireless sensor network routing protocols, when the cluster head transfers data based on single hop transmission to the sink node, then the cluster heads that are farther away deplete more energy as compared to nearby cluster heads. This condenses load balancing in the network. If the cluster heads collaborate with each other and transfer data based on multihop transmission, then the cluster heads nearer to the sink node are burdened with significant relay traffic and deplete energy much faster, which causes a network coverage problem also known as a hot spot problem. To avoid both of the above …
Optimal Determination Of Island Boundaries Besides The Optimal Placement Of D-Statcom Devices And Dg Units, Sadeq Rabie, Hossein Afrakhte
Optimal Determination Of Island Boundaries Besides The Optimal Placement Of D-Statcom Devices And Dg Units, Sadeq Rabie, Hossein Afrakhte
Turkish Journal of Electrical Engineering and Computer Sciences
In this study, integration of three important concepts of distributed generation, D-FACTS devices, and microgrids are evaluated. The performance of a microgrid is dependent on its location, capacity, and placement of DG units and D-FACTS devices. In this paper a new method is proposed to simultaneously determine the optimal number, location, and capacity of DG units and D-STATCOM devices and optimal boundaries of electrical islands in the independent mode of microgrids. The main objective is to minimize the economic costs. The optimal locations of DG units and D-STATCOM devices should be determined to maximize the DG capacities with minimum loss …
Design And Implementation Of A Modified Communication Disturbance Observer For Teleoperation Systems, Zahra Zeinaly, Amin Ramezani, Sadjaad Ozgoli
Design And Implementation Of A Modified Communication Disturbance Observer For Teleoperation Systems, Zahra Zeinaly, Amin Ramezani, Sadjaad Ozgoli
Turkish Journal of Electrical Engineering and Computer Sciences
In this paper, a novel structure for a communication disturbance observer in teleoperation systems is proposed to achieve robust stability. A time delay compensation method based on the concept of network disturbance and a communication disturbance observer (CDOB) has been proposed in past research. Unlike model-based approaches, it works without a time delay model. Therefore, it can be implemented in teleoperation systems with unknown and time-varying delay. However, it has been observed that the system model errors and external disturbances seriously affect the steady-state characteristics. Hence, in this paper, to achieve robustness against disturbance and model uncertainty, the structure of …
Design And Test Of A New Development Fpga Board For Mobile Robot Research, Baligh Naji, Chokri Abdelmoula, Karim Abbes, Mohamed Masmoudi
Design And Test Of A New Development Fpga Board For Mobile Robot Research, Baligh Naji, Chokri Abdelmoula, Karim Abbes, Mohamed Masmoudi
Turkish Journal of Electrical Engineering and Computer Sciences
This paper presents the design and testing of a newly developed field programmable gate array (FPGA) board for mobile robot research. The idea consists of interfacing the FPGA to a 16-bit digital signal controller (dsPIC). This idea enables the FPGA designs to communicate with the dsPIC through the integration of per-written driver modules to be used in a wide variety of digital and analog peripheral modules. It also allows the use of a high-performance digital signal processing core in many signal processing-based mobile robot applications. The proposed FPGA board allows users to develop, test, and deploy quick and cost-effective complete …
Early Detection Of Sudden Cardiac Death Using Poincaré Plots And Recurrence Plot-Based Features From Hrv Signals, Vahid Houshyarifar, Mehdi Chehel Amirani
Early Detection Of Sudden Cardiac Death Using Poincaré Plots And Recurrence Plot-Based Features From Hrv Signals, Vahid Houshyarifar, Mehdi Chehel Amirani
Turkish Journal of Electrical Engineering and Computer Sciences
In this paper we present a method to predict sudden cardiac death (SCD) based on the heart rate variability (HRV) signal and recurrence plots and Poincaré plot-extracted features. This work is a challenge since it is aimed to devise a method to predict SCD 5 min before its onset. The method consists of four steps: preprocessing, feature extraction, feature reduction, and classification. In the first step, the QRS complexes are detected from the electrocardiogram signal and then the HRV signal is extracted. In the second step, the recurrence plot of the HRV signal and Poincaré plot-extracted features are obtained. Four …
Communications Protocol For Power Management In Smart Homes, Milan Bjelica, Mirjana Simic Pejovic
Communications Protocol For Power Management In Smart Homes, Milan Bjelica, Mirjana Simic Pejovic
Turkish Journal of Electrical Engineering and Computer Sciences
Emergency situations, incentives for energy efficiency, new pricing plans, and distributed electricity market jointly require home automation systems that would conform an instantaneous load to a dynamically set limit. In this paper, a novel machine-to-machine communications protocol that interconnects a smart grid and smart house is described. ''Intelligent'' domestic appliances use it to coordinate their switch-on times so that the assigned power quota will not be exceeded. In this way, the end-user experience can be improved by reducing the electricity bills, conveniently conforming to prepaid pricing plans, or even by providing continued service at possibly reduced consumption levels during power …
New Static Output Feedback Stabilization And Multivariable Pid-Controller Design Methods For Unstable Linear Systems Via An Ilmi Optimization Approach, Mehmet Nur Alpaslan Parlakçi, Elbrus Caferov
New Static Output Feedback Stabilization And Multivariable Pid-Controller Design Methods For Unstable Linear Systems Via An Ilmi Optimization Approach, Mehmet Nur Alpaslan Parlakçi, Elbrus Caferov
Turkish Journal of Electrical Engineering and Computer Sciences
The design problem of a static output feedback controller and multivariable proportional-integral-derivative (PID) controller is investigated for linear time-invariant systems (LTI). First, the static output feedback stabilization problem is taken into consideration and then an iterative linear matrix inequality (ILMI) algorithm is developed for the synthesis of the controller. Second, choosing a multivariable PID control law, the whole system is transformed into a new augmented system represented in the form of a static output feedback control system. This method allows us to convert the multivariable PID controller design problem into a static output feedback synthesis problem. Thus, the proposed ILMI …
Investigation Of Secondary Cooling Design Enhancements In Thermally Limited Compact Notebooks, Muhammad Azhar Ali Khan, Eray Uzgören, Ali̇ Muhtaroğlu
Investigation Of Secondary Cooling Design Enhancements In Thermally Limited Compact Notebooks, Muhammad Azhar Ali Khan, Eray Uzgören, Ali̇ Muhtaroğlu
Turkish Journal of Electrical Engineering and Computer Sciences
Thermal design enhancements in a thermally limited compact notebook system are investigated in this paper. System temperature, power, and fan speed are characterized under a range of activity levels. A finite element model is developed, and validated against measurements. Design enhancements improve cooling with minimum intrusion to the existing mechanical design. A passive secondary heat pipe in the system reduces the CPU temperature by 5 $^{\circ}$C, and improves the system performance through increased CPU + Graphics and Memory Controller Hub (GMCH) thermal design power (TDP) by 6.4%. When such a secondary heat pipe is considered with an integrated off-the-shelf Peltier …