An Analytical Model To Assess Dc Characteristics Of Independent Gate Si Finfets,
2019
TÜBİTAK
An Analytical Model To Assess Dc Characteristics Of Independent Gate Si Finfets, Umer Farooq Ahmed, Muhammad Mansoor Ahmed
Turkish Journal of Electrical Engineering and Computer Sciences
In this paper, Poisson's equation is utilized to find the potential distribution inside the channel of an independent gate FinFET device by adding the effect of channel height. The channel height of the device plays an important role in surface potential calculation when top gate voltage is applied. Using surface potential, an I - V model is developed, which can find the device current both in linear and saturation regions of operation. The model is tested on devices of different dimensions and good agreement between modeled and simulated results is observed, which validates the authenticity of the proposed model.
Low Leakage Pocket Junction-Less Dgtfet With Biosensing Cavity Region,
2019
TÜBİTAK
Low Leakage Pocket Junction-Less Dgtfet With Biosensing Cavity Region, Suman Lata Tripathi, Raju Patel, Vimal Kumar Agrawal
Turkish Journal of Electrical Engineering and Computer Sciences
Low leakage current junction-less double gate tunnel field-effect transistor (JLDGTFET) with narrow band gap material pocket region of $Si_{0.7}Ge_{0.3}$ shows increased band to band tunneling and sharp subthreshold characteristics to meet low power, high speed digital and memory applications. The proposed JLDGTFET exploits the junction-less behavior that supports reasonable values of ON/OFF currents as well as improved subthreshold parameters. First, the performance optimization of the JLDGTFET is carried out with different gate contact and oxide region materials in terms of $I_{ON}/I_{OFF}$ current ratio, subthreshold slope, and drain induced barrier lowering. The ON/OFF performance of the pocket $Si_{0.7}Ge_{0.3}$ JLDGTFET with cavity …
Low-Cost Multimode Diode-Pumped Tm:Yag And Tm:Luag Lasers,
2019
TÜBİTAK
Low-Cost Multimode Diode-Pumped Tm:Yag And Tm:Luag Lasers, Ersen Beyatli
Turkish Journal of Electrical Engineering and Computer Sciences
We report a continuous-wave operation of Tm:YAG and Tm:LuAG lasers pumped with a low-cost, multimode AlGaAs laser diode. First, the lifetime and the absorbance behavior of 5 mm, 6 % Tm$^{3+}$-doped YAG and LuAG crystals were thoroughly investigated. A low-cost multimode 3W laser diode at 781 nm was then used as a pump source for the Tm$^{3+}$-doped laser systems. Using three different output couplers, up to 636 mW of output power was obtained from Tm:YAG laser, with a slope efficiency of 29 % at 2017 nm. The maximum output power was 637 mW in the Tm:LuAG laser, with a slope …
A Method For Indoor Wi-Fi Location Based On Improved Back Propagation Neuralnetwork,
2019
TÜBİTAK
A Method For Indoor Wi-Fi Location Based On Improved Back Propagation Neuralnetwork, Jinghui Chen, Chen Dong, Guorong He, Xiaoyu Zhang
Turkish Journal of Electrical Engineering and Computer Sciences
In order to achieve high precision on indoor location, a Wi-Fi indoor location method based on improved back propagation (BP) neural network is proposed. The classical BP neural network is optimized in real time by the ant colony optimization algorithm. Meanwhile, the momentum term is introduced to construct an improved four-layer BP neural network model. The model uses the Wi-Fi signal feature as the input of the BP neural network and succeeds in the area classification under multiple Wi-Fi signal features. The experimental results demonstrate that the improved BP neural network can increase the classification accuracy of the classifier effectively, …
A Smart Wireless Sensor Network Node For Fire Detection,
2019
TÜBİTAK
A Smart Wireless Sensor Network Node For Fire Detection, Wajahat Khalid, Asma Sattar, Muhammad Ali Qureshi, Asjad Amin, Mobeen Ahmed Malik, Kashif Hussain
Turkish Journal of Electrical Engineering and Computer Sciences
Fires generally occur due to human carelessness and the change in environmental conditions. The uncontrolled fire results in death incidents of humans and animals as well as severe threats to the ecosystem. The preservation of the natural environment is important. The wireless sensor networks, widely used in different monitoring applications, is used in this work. For fire detection, we use flame, smoke, temperature, humidity, and light intensity sensors in our proposed network node which is low-cost, reduced-size, and power-efficient. The experiments are performed in a well-controlled real-time environment. The proposed node transmits the sensed data to the central node. The …
Improving The Redundancy Of Knuth?S Balancing Scheme For Packet Transmissionsystems,
2019
TÜBİTAK
Improving The Redundancy Of Knuth?S Balancing Scheme For Packet Transmissionsystems, Elie Ngomseu Mambou, Ebenezer Esenogho, Hendrik Ferreira
Turkish Journal of Electrical Engineering and Computer Sciences
A simple scheme was proposed by Knuth to generate binary balanced code words from any information word. However, this method is limited in the sense that its redundancy is twice that of the full sets of balanced codes. The gap between Knuth?s algorithm?s redundancy and that of the full sets of balanced codes is significantly considerable. This paper attempts to reduce that gap. Furthermore, many constructions assume that a full balancing can be performed without showing the steps. A full balancing refers to the overall balancing of the encoded information together with the prefix. We propose an efficient way to …
Space-Track Modulation And Coding For High Density Aerial Vehicle Downlinknetworks With Free Space Optical And Visible Light Communications, Burhan Gülbahar
Turkish Journal of Electrical Engineering and Computer Sciences
Aerial vehicles (AVs) have challenges in terms of realizing low complexity and wide coverage area wireless communications architectures, especially for crowded or high density groups of AVs with state-of-the-art free space optical (FSO) and radio frequency (RF) based system designs. FSO architectures generally target point-to-point high gain directional links while requiring strict acquisition and tracking due to the narrow beam width of laser transmitters with challenges of vibration, turbulence, misalignment, atmospheric absorption, scattering, and fading. In this article, a novel multiuser free space optical system design of modulation and coding denoted by space-track modulation and coding (STMC) is proposed for …
A Postpruning Decision Algorithm Based On Loss Minimization,
2019
TÜBİTAK
A Postpruning Decision Algorithm Based On Loss Minimization, Ahmed M. Ahmed, Ali̇ Hakan Ulusoy, Ahmet Ri̇zaner
Turkish Journal of Electrical Engineering and Computer Sciences
In this paper, a post-pruning method known as zero-one loss function pruning (ZOLFP) that is based on zero-one loss function is introduced. The proposed ZOLFP method minimizes the expected loss, rather than evaluating the misclassification error rate of a node and its subtree. The subtree is pruned when expected loss of the node is less than or equal to the sum of the loss of its leaves. The experimental results demonstrate that ZOLFP method outperforms. Un-pruned C4.5 Decision Tree (UDT-C4.5) algorithm, reduced error pruning (REP), and minimum error pruning (MEP) in terms of performance accuracy in all used datasets. It …
A Hybrid Single-Source Shortest Path Algorithm,
2019
TÜBİTAK
A Hybrid Single-Source Shortest Path Algorithm, Hi̇lal Arslan, Murat Manguoğlu
Turkish Journal of Electrical Engineering and Computer Sciences
The single-source shortest path problem arises in many applications, such as roads, social applications, and computer networks. Finding the shortest path is challenging, especially for graphs that contain a large number of vertices and edges. In this work, we propose a novel hybrid method that first sparsifies a given graph by removing most edges that cannot form the shortest path tree and then applies a classical shortest path algorithm to the sparser graph. Removing all the edges that cannot form the shortest path tree would be expensive since it is equivalent to solving the original problem. Therefore, we propose an …
A Comparative Study Of Nonlinear Bayesian Filtering Algorithms For Estimation Ofgene Expression Time Series Data,
2019
TÜBİTAK
A Comparative Study Of Nonlinear Bayesian Filtering Algorithms For Estimation Ofgene Expression Time Series Data, Nesrine Amor, Asma Meddeb, Sahbi Marrouchi, Souad Chebbi
Turkish Journal of Electrical Engineering and Computer Sciences
This paper addresses the problem of estimating the time series of a gene expression using nonlinear Bayesian filtering algorithms. The response of gene regulatory networks (GRNs) to functional requirements in the cell and environmental conditions evolves over time. Dynamic biological processes such as cancer progression and treatment recovery depend on the collected genetic profiles. These processes are behind genetic interactions that rewire over the course of time. The GRN was formulated as a nonlinear and non-Gaussian dynamic system defined by the gene measurement model and the unknown state is an evolution of the gene model. However, the GRN has a …
Path-Oriented Random Testing Through Iterative Partitioning (Ip-Prt),
2019
TÜBİTAK
Path-Oriented Random Testing Through Iterative Partitioning (Ip-Prt), Esmaeel Nikravan, Saeed Parsa
Turkish Journal of Electrical Engineering and Computer Sciences
Path-oriented random testing aims at generating a uniformly distributed sequence of test data from a program input domain space to traverse a desired execution path of the program. To this aim, this article proposes a new algorithm to refine a program inputs domain space from invalid subdomains not covering the path. The validity of the subdomains is checked by a constraint propagation method against the path constraints (PCs). The proposed algorithm uses a divide and conquer technique to iteratively split the inputs domain into subdomains and each time refutes those subdomains that are inconsistent with the PCs. The remaining shrunken …
Verifiable Dynamic Searchable Encryption,
2019
TÜBİTAK
Verifiable Dynamic Searchable Encryption, Mohammad Etemad, Alpteki̇n Küpcü
Turkish Journal of Electrical Engineering and Computer Sciences
Using regular encryption schemes to protect the privacy of the outsourced data implies that the client should sacrifice functionality for security. Searchable symmetric encryption (SSE) schemes encrypt the data in a way that the client can later search and selectively retrieve the required data. Many SSE schemes have been proposed, starting with static constructions, and then dynamic and adaptively secure constructions but usually in the honest-but-curious model. We propose a verifiable dynamic SSE scheme that is adaptively secure against malicious adversaries. Our scheme supports file modification, which is essential for efficiently working with large files, in addition to the ability …
Early Reliability Assessment Of Component-Based Software System Using Coloredpetri Net,
2019
TÜBİTAK
Early Reliability Assessment Of Component-Based Software System Using Coloredpetri Net, Amir Hosseinzadeh Mokarram, Ayaz Isazadeh, Habib Izadkhah
Turkish Journal of Electrical Engineering and Computer Sciences
Assessment of reliability in the early stages of software development from architectural models is one of the major challenges that many studies have addressed in this field in the last decade. The main drawbacks of existing methods are the following: 1) considering equal impact for all parts of the software architecture on system reliability, and 2) inability to determine the contribution of each part of the software in the system failure. This paper introduces the extended version of the colored petri net as an underlying verifiable model to evaluate the reliability of a software system. The proposed model enhances reliability …
Prioritizing Interdependent Software Requirements Using Tensor And Fuzzy Graphs,
2019
TÜBİTAK
Prioritizing Interdependent Software Requirements Using Tensor And Fuzzy Graphs, Negin Misaghian, Homayun Motameni, Mohsen Rabbani
Turkish Journal of Electrical Engineering and Computer Sciences
Owing to the special stance of prioritizing tasks in requirements engineering processes, and as the requirements are not independent in nature, considering their dependencies is essential during the prioritizing process. Although different classifications of dependency types among requirements exist, only a few approaches in the prioritization process consider such valuable data (dependency among equirements). To achieve a practical prioritization, this study proposes a method based on the effects of the requirement dependencies (increase/decrease cost of) on the value of prioritization provided by the tensor concept. Since the strengths of dependencies are also influential factors in the act of prioritization, The …
Modified Self-Adaptive Local Search Algorithm For A Biobjective Permutation Flowshop Scheduling Problem,
2019
TÜBİTAK
Modified Self-Adaptive Local Search Algorithm For A Biobjective Permutation Flowshop Scheduling Problem, Çi̇ğdem Alabaş Uslu, Berna Dengi̇z, Canan Ağlan, İhsan Sabuncuoğlu
Turkish Journal of Electrical Engineering and Computer Sciences
Interest in multiobjective permutation flow shop scheduling (PFSS) has increased in the last decade to ensure effective resource utilization. This study presents a modified self-adaptive local search (MSALS) algorithm for the biobjective permutation flow shop scheduling problem where both makespan and total flow time objectives are minimized. Compared to existing sophisticated heuristic algorithms, MSALS is quite simple to apply to different biobjective PFSS instances without requiring effort or time for parameter tuning. Computational experiments showed that MSALS is either superior to current heuristics for Pareto sets or is incomparable due to other performance indicators of multiobjective problems.
In-Field Failure Assessment Of Tractor Hydraulic System Operation Viapseudospectrum Of Acoustic Measurements,
2019
TÜBİTAK
In-Field Failure Assessment Of Tractor Hydraulic System Operation Viapseudospectrum Of Acoustic Measurements, Saurabh Gupta, Mahdi Khosravy, Neeraj Gupta, Hemand Darbari
Turkish Journal of Electrical Engineering and Computer Sciences
Hydrological working conditions are critical indicators for the maintenance of tractor mechanical systems. This research presents a pseudospectrum approach to analyze the particle pollution level of the hydraulic filter in its aging process and thus on-time prediction and diagnosis of weak or faulty conditions. The practical experiments of pseudospectrum analysis are performed on oil filter sound records. For mobile application purposes, besides deployment of advanced audio recording equipment, three popular brands of cell phones are used. The soundtracks are recorded in different incremental stages of fluid contamination by pollutive particles until being choked based on the ISO4406 standard. The pseudospectrum …
Energy-Efficient Scheduling For Real-Time Tasks Using Dynamic Slack Reclamation,
2019
TÜBİTAK
Energy-Efficient Scheduling For Real-Time Tasks Using Dynamic Slack Reclamation, Vasanthamani Kannaian, Visalakshi Palanisamy
Turkish Journal of Electrical Engineering and Computer Sciences
The application domains of portable embedded real-time systems range from safety-critical applications like electronic control units in the automotive sector to entertainment applications like digital cameras and setup boxes in the consumer electronics sector. These systems attract users with multiple and sophisticated functionalities in a single system. The developments in VLSI technology have enabled IC manufacturers to incorporate more features in a single die, which facilitates these multipurpose systems. The increase in features and functionalities has a direct impact on power consumption and has to be strictly accounted for in the design of these embedded systems. The possibility of achieving …
Between-Host Hiv Model: Stability Analysis And Solution Using Memeticcomputing,
2019
TÜBİTAK
Between-Host Hiv Model: Stability Analysis And Solution Using Memeticcomputing, Musharif Ahmed, Ijaz Mansoor Qureshi, Muhammad Aamer Saleem, Muhammad Zubair, Saad Zafar
Turkish Journal of Electrical Engineering and Computer Sciences
HIV poses a great threat to humanity for two major reasons. First it attacks the immunity system of the body and second, it is epidemic in nature. Mathematical models of HIV have been instrumental in understanding and controlling the infection. In this paper, we solve the between host epidemic model of HIV, described by nonlinear coupled differential equations, by using memetic computing. Under this model, the sexually active population is divided into four classes and we investigate the transfer of individuals from one class to another. The solution consists of Bernstein polynomials whose parameters have been optimized by using differential …
Dop: Discover Objects And Paths, A Model For Automated Navigation Andselection In Virtual Environments,
2019
TÜBİTAK
Dop: Discover Objects And Paths, A Model For Automated Navigation Andselection In Virtual Environments, Muhammad Raees, Sehat Ullah
Turkish Journal of Electrical Engineering and Computer Sciences
Navigation and selection are the two interaction tasks often needed for the manipulation of an object in a synthetic world. An interface that supports automatic navigation and selection may increase the realism of a virtual reality (VR) system. Such an engrossing interface of a VR system is possible by incorporating machine learning (ML) into the realm of the virtual environment (VE). The use of intelligence in VR systems, however, is a milestone yet to be achieved to make seamless realism in a VE possible. To improve the believability of an intelligent virtual agent (IVA), this research work presents DOP (Discover …
Toxicity Prediction Of Small Drug Molecules Of Aryl Hydrocarbon Receptor Using Aproposed Ensemble Model,
2019
TÜBİTAK
Toxicity Prediction Of Small Drug Molecules Of Aryl Hydrocarbon Receptor Using Aproposed Ensemble Model, Vishan Kumar Gupta, Prashant Singh Rana
Turkish Journal of Electrical Engineering and Computer Sciences
Quantitative structure-activity relationships and quantitative structure?property relationships have proved their usefulness for predicting toxicities of drug molecules regarding their biological activities. In silico toxicity prediction techniques are essential for reducing testing on rodents (in vivo) and for a less time-consuming and more cost-efficient alternative for the identification of toxic effects at an early stage of drug development. The authors aim to build a prediction model for better assessment of toxicity to quickly and efficiently test whether certain chemical compounds have the potential to disrupt the processes in the human body that may adversely affect human health. Here, we have proposed …
