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Budget analysis for water reservoirs using an autonomous sensor-equipped mini boat

Sensor Letters 2015年第7期13卷 543-548页

作者： Tuna, G. Arkoc, O. Potirakis, S.M. Nefzi, B. Department of Computer Programming Trakya University Edirne Turkey School of Technical Sciences Kirklareli University Kirklareli Turkey Department of Electronics Engineering Technological Education Institute of Piraeus Aigaleo - Athens Greece Independent Research Paris France

Water is an inescapable necessity for all forms of life on Earth. Therefore, both man-made reservoirs and natural reservoirs play critical roles for several purposes. Evaporation is an important factor that should be taken into account in the case of surface water reservoirs in hot and dry environments, since it can cause significant water loss. In order to estimate the water budgets of reservoirs, the hydrologists are typically using specifically developed computer models which take into account the effects of evaporation. An important step in this repetitive process is to provide an as accurate as possible calculation of the current water budget of reservoir under study. A novel system for the required water budget calculation is proposed in this paper, providing an automated, fast and accurate solution, requiring no human effort as it is based on an autonomous sensor-equipped mini-boat. First, the autonomous mini boat follows predefined trajectories at a reservoir and builds a bathymetric map (depth map) of it. Then, an onboard computer calculates the water budget of the reservoir. The proposed system is portable;as a result, a single system can periodically serve at several water reservoirs. Following the description of the main components of the proposed system, that is the autonomous navigation system and water budget calculation application, the performance of the navigation subsystem and the system as a whole is evaluated based on simulation studies. Copyright © 2015 American Scientific Publishers All rights reserved.

关键词： Evaporation

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Analysis of Twitter hashtags: Fuzzy clustering approach

Analysis of Twitter hashtags: Fuzzy clustering approach

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Conference of the North American Fuzzy Information Processing Society - NAFIPS

作者： Lotfi A. Zadeh Ali M. Abbasov Shahnaz N. Shahbazova Department of Electrical Engineering and Computer Sciences University of California Berkeley CA Minister of Communications High Technologies of the Republic of Azerbaijan Azerbaijan AZ Department of Information Technology & Programming Azerbaijan Technical University Baku Azerbaijan

The overwhelming acceptance of social media creates opportunities to learn about facts and events that are echoed in posts, tweets and messages uploaded by users. Analysis of these data can lead to interesting observations and conclusions. Of special importance are aspects related to temporal and dynamic nature of these findings. This paper presents a simple fuzzy-based approach of pre-processing and analyzing Twitter hashtags. The obtained fuzzy clusters are further examined in order to gain insight related to temporal trends and patterns of hashtags' popularity.

关键词： Twitter Tagging Pragmatics Data visualization Diamonds Media

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An Emboli Detection System Based on Dual Tree Complex Wavelet Transform

An Emboli Detection System Based on Dual Tree Complex Wavele...

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13th Mediterranean Conference on Medical and Biological engineering and Computing 2013, MEDICON 2013

作者： Serbes, G. Sakar, Betul Erdogdu Aydin, N. Gulcur, H.O. Biomedical Engineering Institute Bogazici University Istanbul Turkey Department of Computer Programming Bahcesehir University Istanbul Turkey Department of Computer Engineering Yildiz Technical University Istanbul Turkey

ISBN: (纸本)9783319008455

Automated decision systems for emboli detection is a crucial need since it is being done by visual determination of experts which causes excess time consumption and subjectivity. This work presents an emboli detection system using various dimensionality reduction algorithms on Doppler ultrasound signals recorded from both forward and reverse flow of blood transformed via Fast Fourier Transform (FFT), Discrete Wavelet Transform (DWT), and Dual Tree Complex Wavelet Transform (DTCWT). The combined forward and reverse DTCWT based features produced the highest performance when fed to SVMs classifier. As to compare dimensionality reduction algorithms, although PCA and LDA gave comparable accuracies, LDA has accomplished these accuracies only with two components due to its less than the number of classes' orthogonal projective directions limitation. SVMs yielded higher classification accuracies than k-NN with all considered dimensionality reduction methods since SVMs classifier is more robust to noise and irrelevant features. With the ability to localize well both in time and frequency, wavelet transform based extracted features gave higher overall classification accuracies than FFT with the more stable classifier SVMs. Additionally, DTCWT accuracies are higher with SVMs than those of DWT since it also has the ability of being shift-invariant. © Springer International Publishing Switzerland 2014.

关键词： Discrete wavelet transforms

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Staff planning and scheduling in accordance with flexible working hours in the scope of work-life balance and development of prototype software 44

Staff planning and scheduling in accordance with flexible wo...

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Joint International Symposium on "The Social Impacts of Developments in Information, Manufacturing and Service Systems" 44th International Conference on computers and Industrial engineering, CIE 2014 and 9th International Symposium on Intelligent Manufacturing and Service Systems, IMSS 2014

作者： Koruca, Halil Ibrahim Çayirli, Muhammed ÖzdemIr, Gültekin Burhan, Mustafa Emrah Department of Industrial Engineering Engineering Faculty Suleyman Demirel University Isparta Turkey Department of Computer Technology and Programming Suleyman Demirel University Keciborlu MYO Isparta Turkey

Work-life balance (WLB) can be described as the fulfillment of the duties and responsibilities of workers in their private and business lives in addition to minimizing the conflicts between business and private lives. This can be achieved with self-scheduling of workers only by allocating fair time for private life as well as work life. In enterprises, the workers demand, starting time and working hours of a job can vary according to the nature of the job done and quantitative and qualitative characteristics of workers. The main idea of this study is to develop a method which is balancing between work and private life by considering a self-scheduled working plan regulated systematical as far as weekly or monthly determining qualities and quantities of doctors and nurses to fulfill the needs for different departments of a hospital, considering the number of patients at different hours of a day. In this study, a prototype software was developed to fulfil the requirement of workers and enterprises for balancing work-life considering demands of workers and employers. The developed software can record the numbers and attributes of required personnel to a database according to daily, weekly or monthly demands. The current numbers and attributes of workers then requirements of the employer are entered into the database. Then, workers can choose their work times by considering day and hours from this database. The developed software reconciles the needs of the enterprise and personnel demands with synchronizing the needed working hours of enterprise and selection of personnel. Work assignments are done by personnel requests. Personnel decides their own working time so that monthly and weekly schedules can be obtained. The software is coded in Ms C# programming language and is applied in a hospital. The personnel demands which changes monthly, weekly and different working hours in a day can be assigned by considering doctors and nurses requests' with the help of developed so

关键词： Hospitals

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Application of S-UTD-CH model into multiple diffraction scenarios at 900MHz

Application of S-UTD-CH model into multiple diffraction scen...

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Progress in Electromagnetics Research Symposium, PIERS 2014

作者： Tabakcioglu, Mehmet Baris Ayberkin, Doruk Electrical and Electronics Engineering Department Engineering Faculty Bayburt University Bayburt69000 Turkey Computer Programming Department Bayburt Vocational School Bayburt University Bayburt69000 Turkey

ISBN: (纸本)9781934142288

In this study, propagation prediction models based on ray tracing in coverage estimation for broadcasting systems are compared with respect to computation time and accuracy. Uniform Theory of Diffraction (UTD), Slope Diffraction (S-UTD) and Slope UTD with Convex Hull (S-UTD-CH) models are compared for computation time and propagation path loss. Moreover in this study, effects of transmitter height to relative path loss at the receiver are analyzed. S-UTD-CH model is optimum model with respect to computation time and relative path loss.

关键词： Ray tracing

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Rule-based fuzzy classifier for spinal deformities

Rule-based fuzzy classifier for spinal deformities

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作者： Birtane, Sibel Korkmaz, Hayriye Department of Computer Programming Vocational School Istanbul Arel University Istanbul Turkey Department of Electrical and Electronics Engineering Faculty of Technology Marmara University Istanbul Turkey

In this paper, 2-steps software using image processing and enhancement technologies is developed to obtain a scoliosis patient's spine pattern from 2D coronal X-Ray images without manual land marking. Then, a Rule-based Fuzzy classifier is implemented on those images to classify the spine patterns using the King-Moe classification approach. © 2014 - IOS Press and the authors.

关键词： Fuzzy logic

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Analysis of Cardiotocogram Data for Fetal Distress Determination by Decision Tree Based Adaptive Boosting Approach

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Journal of computer and Communications 2014年第9期2卷 32-37页

作者： Esra Mahsereci Karabulut Turgay Ibrikci Computer Programming Department Gaziantep University Gaziantep Turkey Department of Electrical and Electronics Engineering Cukurova University Adana Turkey

Cardiotocography is one of the most widely used technique for recording changes in fetal heart rate (FHR) and uterine contractions. Assessing cardiotocography is crucial in that it leads to iden- tifying fetuses which suffer from lack of oxygen, i.e. hypoxia. This situation is defined as fetal dis- tress and requires fetal intervention in order to prevent fetus death or other neurological disease caused by hypoxia. In this study a computer-based approach for analyzing cardiotocogram in- cluding diagnostic features for discriminating a pathologic fetus. In order to achieve this aim adaptive boosting ensemble of decision trees and various other machine learning algorithms are employed.

关键词： Cardiotocogram Fetal Distress Adaptive Boosting Decision Tree

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Cloud agency: A guide through the clouds

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Mondo Digitale 2014年第49期13卷

作者： Aversa, Rocco Tasquier, Luca Venticinque, Salvatore University of Naples International Journal of Web Science Italy Computer and Electronic Engineering Department of Industrial and Information Engineering Italy Second University of Naples Computer Programming and Computer Architecture Italy

Cloud Computing is a new technology that has rapidly established itself in computer science since it allows the usage of huge computing resources that are dynamically allocated in order to satisfy user's needs and that are accessible as a service through a remote interface, such as a web browser. Cloud resources can be distributed in different places and such distribution is made transparent to the user;this one does not need to worry about data replication and/or maintenance of the infrastructure but he/she benefits only of the required services, by exploiting the Pay-Per-Use business model. In this context, the interoperability among different providers becomes critical due to the vendor lock-in problem. Here we present a multi agent system that accesses, on behalf of the user, the utility market of Cloud computing to maintain the best resources configuration that satisfies the application requirements. It also offers management and monitoring facilities for the Cloud infrastructure in order to guide the user in all the phases of the application's lifecycle. Together with the platform, we present client-side tools that can be used to orchestrate agents' based services.

关键词： Mobile agents

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Classification of histopathological images using convolutional neural network

Classification of histopathological images using convolution...

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Workshops on Image Processing Theory, Tools and Applications, IPTA

作者： Nuh Hatipoglu Gokhan Bilgin Programming Department Trakya University Computer Technology Edirne Turkey Computer Engineering Department Yildiz Technical University Istanbul Turkey

In this work, classification of cellular structures in the high resolutional histopathological images and the discrimination of cellular and non-cellular structures have been investigated. The cell classification is a very exhaustive and time-consuming process for pathologists in medicine. The development of digital imaging in histopathology has enabled the generation of reasonable and effective solutions to this problem. Morever, the classification of digital data provides easier analysis of cell structures in histopathological data. Convolutional neural network (CNN), constituting the main theme of this study, has been proposed with different spatial window sizes in RGB color spaces. Hence, to improve the accuracies of classification results obtained by supervised learning methods, spatial information must also be considered. So, spatial dependencies of cell and non-cell pixels can be evaluated within different pixel neighborhoods in this study. In the experiments, the CNN performs superior than other pixel classification methods including SVM and k-Nearest Neighbour (k-NN). At the end of this paper, several possible directions for future research are also proposed.

关键词： Convolution Neural networks Training Support vector machines Cancer Accuracy Biomedical imaging

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DSOS and SDSOS optimization: LP and SOCP-based alternatives to sum of squares optimization

DSOS and SDSOS optimization: LP and SOCP-based alternatives ...

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Annual Conference on Information Sciences and Systems (CISS)

作者： Amir Ali Ahmadi Anirudha Majumdar Mathematical Programming Group IBM Watson Research Center Department of Electrical Engineering and Computer Science MIT

Sum of squares (SOS) optimization has been a powerful and influential addition to the theory of optimization in the past decade. Its reliance on relatively large-scale semidefinite programming, however, has seriously challenged its ability to scale in many practical applications. In this paper, we introduce DSOS and SDSOS optimization as more tractable alternatives to sum of squares optimization that rely instead on linear programming and second order cone programming. These are optimization problems over certain subsets of sum of squares polynomials and positive semidefinite matrices and can be of potential interest in general applications of semidefinite programming where scalability is a limitation.

关键词： Optimization Robustness Collision avoidance Pricing Geometry

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