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Evaluation of Multi-Objective Optimization Algorithms for NMR Chemical Shift Assignment

Sima Etaner Uyar

An automated NMR chemical shift assignment algorithm was developed using multi-objective optimization techniques. The problem is modeled as a combinatorial optimization problem and its objective parameters are defined separately in different score functions. Some of the heuristic approaches of evolutionary optimization are employed in this problem model. Both, a conventional genetic algorithm and multi-objective methods, i.e., the non-dominated sorting genetic algorithms II and III (NSGA2 and NSGA3), are applied to the problem. The multi-objective approaches consider each objective parameter s ...Daha fazlası

Süresiz Ambargo

Multilevel image thresholding with multimodal optimization

Taymaz Akan

Thresholding method is one of the most popular approaches for image segmentation where an objective function is defined in terms of threshold numbers and their locations in a histogram. If only a single threshold is considered, a segmented image with two classes is achieved. On the other hand, multiple classes in the output image are created with multilevel thresholding. Otsu and Kapur's procedures have been conventional steps for defining objective functions. Nevertheless, the fundamental problem with thresholding techniques is the determination of threshold numbers, which must be selected by ...Daha fazlası

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Sanatsal Ve Öznel Bir Eylem Olarak Amerikan Soyut Dışavurumcu Sanatta Kolaj Ve Nesne

Tuğba Renkçi Taştan

19. yüzyıl sonu ve 20. yüzyılın ilk yarısında ekonomik alanda yaşanan buhranlar ve büyük siyasi çalkantılar, sanat ve bilimde devrim oluşturan önemli ve köklü gelişmelerin ve keşiflerin ortaya çıkmasına zemin hazırlamıştır. İkinci Dünya Savaşı’nın yarattığı yıkım tüm dünyayı etkilemiş ve kıta Avrupa’sında toplumsal, politik ve ekonomik alanda meydana gelen çöküş, sanatı da olumsuz etkilemiştir. Avrupalı yazarlar, sanatçılar ve bilim insanları Nasyonal Sosyalistlerin siyasi baskısı ve tehdidinden kaçarak, kendi ulusal sanat ve kültür ortamını oluşturmak isteyen Amerika Birleşik Devletleri’ne gö ...Daha fazlası

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Türkiye’de Rüzgâr Enerjisinin Mevcut Durumu ve Geleceği

Vedat Esen

Yenilenebilir enerji kaynakları, fosil yakıtların yakın zamanda tükeneceğinin öngörülmesi ve çevreye olan zararları nedeniyle tüm dünyada olduğu gibi Türkiye’de de elektrik enerjisi üretimi için alternatif olmaya başlamış ve bu konuda çalışmalar hız kazanmıştır. Yenilenebilir enerji kaynakları içerisinde, büyük miktarlarda enerji üretimine imkân vermesi nedeniyle öne çıkan rüzgâr enerjisi diğer enerji kaynaklarına göre tercih edilir duruma gelmiştir. Rüzgâr enerjisi teknolojilerinin gelişmesi ile birlikte coğrafi koşulları uygun olan ülkeler, yatırımlarını ağırlıklı olarak rüzgâr enerjisine ya ...Daha fazlası

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Multi-Controller Model for Improving the Performance of IoT Networks

Cevat Rahebi

: Internet of Things (IoT), a strong integration of radio frequency identifier (RFID), wireless devices, and sensors, has provided a difficult yet strong chance to shape existing systems into intelligent ones. Many new applications have been created in the last few years. As many as a million objects are anticipated to be linked together to form a network that can infer meaningful conclusions based on raw data. This means any IoT system is heterogeneous when it comes to the types of devices that are used in the system and how they communicate with each other. In most cases, an IoT network can ...Daha fazlası

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Text‑based automatic personality prediction: a bibliographic review

Taymaz Akan

Personality detection is an old topic in psychology and automatic personality prediction (or perception) (APP) is the automated (computationally) forecasting of the personality on diferent types of human generated/exchanged contents (such as text, speech, image, and video). The principal objective of this study is to ofer a shallow (overall) review of natural language processing approaches on APP since 2010. With the advent of deep learning and following it transfer-learning and pre-trained model in NLP, APP research area has been a hot topic, so in this review, methods are categorized into th ...Daha fazlası

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Harris Hawks Optimization Method based on Convolutional Neural Network for Face Recognition Systems

Cevat Rahebi

This paper discusses the momentum gradient dependent on the convolutional neural organization’s strong point. It is a new methodology introduced to detect evenness in the data set of faces. The proposed face recognition framework was created for various purposes. Through Gabor wavelet change, facial evenness was extracted from the face-preparing information. After that, we applied a profound learning process to carry out verification. After applying the proposed method to YALE and ORL data sets, we simulated them using MATLAB 2021a. Before this, similar trials were directly applied through Har ...Daha fazlası

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MPPT Design for PV-Powered WPT System with Irregular Pulse Density Modulation

Güngör Bal

—Electric vehicles (EVs) are well-known as environmentally friendly systems. Therefore, the demand for EVs is rapidly increasing every day, but for charging batteries of EVs eco-friendly electrical energy sources are needed. To use a clean energy source, this article proposes a wireless power transfer (WPT) system energized by photovoltaic panels. In this study, pulse density modulation technique controlled with incremental conductance algorithm is preferred in the WPT system for both transferring power from primary to secondary windings and for tracking maximum power point (MPP). The proposed ...Daha fazlası

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A Meta-Heuristic Algorithm Based on the Happiness Model

Aref Yelghı

Recent work has attempted to determine the appropriate global minimum for complex problems. The paper presents a population and direct-based swarm optimization algorithm called the happiness optimizer (HPO) algorithm. An HPO algorithm is designed based on personal behavior and demonstrated in 30 and 100 dimensions on benchmark functions. The model includes four questions: “what do you want?”, “what do you have?”, “what do others have?”, and “what happened?”, which guide the development of a happiness behavior model. By considering the balancing between exploration and exploitation operators in ...Daha fazlası

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An Intelligent Anomaly Detection Approach for Accurate and Reliable Weather Forecasting at IoT Edges: A Case Study

Buket İşler

Industrialization and rapid urbanization in almost every country adversely affect many of our environmental values, such as our core ecosystem, regional climate differences and global diversity. The difficulties we encounter as a result of the rapid change we experience cause us to encounter many problems in our daily lives. The background of these problems is rapid digitalization and the lack of sufficient infrastructure to process and analyze very large volumes of data. Inaccurate, incomplete or irrelevant data produced in the IoT detection layer causes weather forecast reports to drift away ...Daha fazlası

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Comparison of Simulation Results for 25 kW Power Output Rooftop PV System

Vedat Esen

The use of electrical energy from renewable energy sources has increased considerably in recent years. Photovoltaic (PV) solar energy, which is one of the renewable energy sources, takes its source from the sun, which is considered an unlimited source. With the widespread use of photovoltaic systems, some legal regulations by governments have been made for their installation. Simulation programs are used for the design, layout, technical and economic analysis of PV systems. In this study, the design is made using the PVsyst, PV*SOL, Solarius programs, and the PVGIS website used in PV systems. ...Daha fazlası

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An Approach Using in Communication Network Apply in Healthcare System Based on the Deep Learning Autoencoder Classifcation Optimization Metaheuristic Method

Cevat Rahebi

Parkinson’s disease is a neurodegenerative disorder and afects the nerve cells that produce dopamine in the brain. In this paper, we investigated comparative studies on the diferent scenarios such as AutoEncoder and Ant Colony Optimization feature selection algorithms for the efective features in diagnosis of Parkinson’s disease. These algorithms are implemented to the voice dataset obtained from online repository. Then selected features are presented to the Decision tree, SVM, K-NN, Ensemble, Naive Bayes and Discriminant classifers for each of the binary classifcation problems. The proposed ...Daha fazlası

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