Sürdürülebilir Kalkınma Amaçları

Yazarlar

  • BildiriYalnız künye2017
    Observing the Entropy of Crowd Movements

    Akpulat, Murat; Ekinci, Murat

    Providing security and managing it as well as trying to understand how it behaves have become an important research topic in our day. The aim of this study is to calculate the entropy value of the crowd movement regionally and to track how it. changes in time. Because, excessive changes in the entropy value in time might point to abnormal behaviour in the region. The motion information obtained from the optical flow method from the image in parallel to the target was converted to motion orbits by particle advection. Motion orbits are mapped into by the Braid Theory and entropy value is calculated. Braid Theory is a mathematical method that is used to express entropy as a qualitative value by determining the interaction among the movement orbits. The results are tested according to the video sequence in the PETS2009 and UCF database and they show that this method is functional for observing how the entropy changes in time within the crowd movement.

  • BildiriYalnız künye2017
    Hardware Friendly Early Stopping Structure For Polar Code

    Simsek, Cemaleddin; Albayrak, Cenk; Türk, Kadir

    Polar code has become a major milestone in information theory field in recent times. Researchers are still observing more efficient encoding and decoding structures. In this study, a new WIB based structure is proposed which reduces the computational complexity of WIB introduced as an early termination method for BP polar decoder in literature. Both proposed and WIB methods are implemented with VHDL and hardware complexities are compared via XILINX ISE synthesis tool. Most important complexity reduction came with removing unnecessary addition operations which make early termination method possible to implement only with hit-wise logical operations. Results show that along with complexity reduction proposed approach can also acquire same performance in half time compared to previous counterpart with fewer logic gates.

  • BildiriAçık Erişim2017Scopus SJRQ1
    Pressure from superiors and older age increase the risk of burnout syndrome among psychiatric trainees: A nation-wide survey in Turkey

    Capraz, N.; Ozalp, D. Ceylan Tufan; Yalcin, M.; Can, E. Tellioglu; Alkin, T.

    • SDG 3 · Sağlık ve Kaliteli Yaşam
    AtıfWoS2OpenAlex2
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  • BildiriAçık Erişim2017Scopus SJRQ1
    MEDIAN AND ULNAR NERVE CROSS-SECTIONAL AREA IN CARPAL TUNNEL SYNDROME WITH EXTRATERRITORIAL SPREAD OF SENSORY SYMPTOMS

    Kaplan, B. Mansiz; Leblebicier, M. Akdeniz; Yagci, I.

    • SDG 3 · Sağlık ve Kaliteli Yaşam
  • BildiriAçık Erişim2017
    The Relationship between Types of Bullying experienced by Primary School Students and Their Anxiety, State-Trait, Self-Esteem And Certain Socio-Demographic Characteristics

    Demirbag, Birsel Canan; Çiçek, Zeynep; Yigitbas, Cagla; Özkan, Cigdem Gamze; Dinçer, Ahmet; Soriano, E; Sleeter, C; Casanova, MA; Cala, VC

    Bullying experienced by children causes negative emotions which lead to failure in their lives. This study aims to determine the relationship between types of bullying and anxiety, state-trait, self-esteem and certain socio-demographic characteristics of primary school students who exposed to bullying at least two times. A primary school in the city center of eastern part of Turkey was selected by simple random sampling method. A socio-demographic questionnaire, which was developed by the researchers, and state-trait anxiety inventory and self-esteem scales were provided to 595 students in this school by explaining how to fill out the questionnaires between January 1 and January 31, 2015. The most common types of bullying expressed by children were kicking and slapping in the physical bullying 11.7%, kidding in the verbal bullying 14.1%, discrimination in the emotional bullying 7.3% and sexually explicit expressions in the sexual bullying type 4.2%. (C) 2017 The Authors. Published by Elsevier Ltd.

    • SDG 3 · Sağlık ve Kaliteli Yaşam
    • SDG 4 · Nitelikli Eğitim
    AtıfWoS5OpenAlex12
    İncele
  • BildiriAçık Erişim2017
    Effect of Ambient Conditions on Monthly Performances of Three Different PV Arrays

    Özden, Talat; Akinoglu, Bulent G.; Turan, Rasit; Martinez, V; Gonzalez, J

    Solar PV cells may be mainly divided into two parts as crystalline and thin film. Mono-crystalline silicon (e.g. Mono-Si) and microcrystalline based amorphous silicon and other thin films (e.g. gc-Si/a-Si and CdTe thin films) are widely used PV cells in the arrays. The outdoor performances of these systems depend on some climatic parameters and conditions, and it is important to understand how the monthly efficiencies vary with these parameters. In the present study, the data obtained from three grid connected PV arrays of Mono Si, a-Si/p.c-Si and CdTe thin film that were operated for 41 months in Ankara-Turkey is analyzed. The results showed that Mono-Si an-ay performance depends on the 5 parameters of outdoor climatic conditions while a-Si/gc-Si and CdTe thin film arrays performances arc not significantly affected by the variation of the climatic parameters. The possible reasons are discussed in details.

    • SDG 7 · Erişilebilir ve Temiz Enerji
    • SDG 13 · İklim Eylemi
  • BildiriAçık Erişim2017
    THE EFFECT OF THE STRATEGIC MANAGEMENT TOOLS ON SMES' FIRM PERFORMANCE

    Bingöl, Dursun; Filizöz, Berrin; Koparan, Emrah; Okan, Tarhan; Çapkulaç, Onur; Ozsahin, M

    Growing importance of notions of productivity and efficiency which generates basic focus and domain of firms the attention for strategic management have been increasing. This increasing attention is also resulting in increasing competition and changes in its formation. Markets have switched into regional or international rather than local and national. Firms need to have a strategic point of view and use strategic management tools. The above-mentioned concepts are generally used in big firms. However, small and medium-sized enterprises (SME) have an important role in countries' economies thanks to their contribution to social development and employment. In Turkey, 99% of firms are SME. Regarding the importance of SMEs in the country's economy, this study aims to reveal if owners/managers of SMEs know about strategic management tools, if they know which tools they use, levels of satisfaction with these tools and which tools they plan to use in the future. Additionally, the study seeks priorities of owners/managers when choosing a strategic management tool and effect of level of using these tools on firm performance. (c) 2017 Published by Future Academy www.FutureAcademy.org.uk

    • SDG 8 · İnsana Yakışır İş ve Ekonomik Büyüme
    AtıfWoS3OpenAlex4
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  • BildiriYalnız künye2017
    A Day Ahead Hourly Solar Radiation Forecasting by Artificial Neural Networks: A Case Study for Trabzon Province

    Çevik, Sibel; Çakmak, Recep; Altas, Ismail Hakk

    The integration of renewable energy sources to the electrical grid leads to some issues in the grid because of intermittent and variable characteristics of renewable energy sources such as wind and solar. It has been predicted that the solar based electricity production will has highest annual increase rate among the other renewable sources. Due to the intermittent and volatile nature of the solar energy in an electricity grid where photovoltaic systems are intensive, load planning is essential. Therefore, day ahead solar radiation forecasting will contribute to the load planning studies. Artificial neural networks are one of the methods that are applied frequently and successfully in forecasting studies. In this study, a cause effect based artificial neural network (ANN) has been designed and performed for day ahead hourly solar radiation forecasting in Trabzon province. A similar day selection algorithm has been utilized to get more accurate forecasting by the ANN. The designed ANN has been trained and tested in MATLAB simulation environment without using ready codes of MATLAB ANN toolbox. The obtained results reveal that the designed ANN forecasts the solar radiation with acceptable error for a place such as Trabzon which has rainy and cloudy weather conditions.

    AtıfWoS5
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  • BildiriYalnız künye2017
    Sign Alterations of LLR Values Based Early Termination Method for LT BP Decoder

    Albayrak, Cenk; Simsek, Cemaleddin; Türk, Kadir

    In this letter, a new early termination method is proposed for Luby transform (LT) belief propagation (BP) decoder. The proposed method is decided whether BP decoder output converges to original data bits by observing only sign alterations of log-likelihood ratio (LLR) messages in BP decoder structure. Simulation results and complexity analyzes show that proposed method has low computational complexity and small average iteration amounts compared to conventional early termination methods in literature. In addition to this, the proposed method doesn't cause any performance degradation in BP decoder. The method can be easily applied to code families which can be decoded by BP algorithm such as low density parity check (LDPC) codes, polar codes and Raptor codes.

  • BildiriYalnız künye2017
    Symmetric and Asymmetric Relationship Between Military Expenditures and Economic Growth in NATO-27: A Panel Bootstrap Granger Causality Approach

    Ünver, Mustafa; Türedi, Salih; Topal, Mehmet Hanefi; Kaya, MV

  • BildiriYalnız künye2017
    Artificial intelligent models for thermodynamic properties of R152a and R134a refrigerants in automobile air conditioning systems

    Kalkisim, Ahmet Tahir; Bilen, Kadir; Hasiloglu, Abdussamet; Sobh, T.; Elleithy, K.

    With the increase in environmental awareness, the quest for alternative refrigerants for automobile air conditioning systemsis a necessity for the protection of the ozone layer and the prevention of global warming. Therefore, it is important that the refrigerant to be used as an alternative must be at least thermodynamically sufficient and within specified environmental limits. In this study, R152a refrigerant which is an alternative gas for R134a that's use in automobile air conditioning systems will be removed within a certain schedule has been examined thermodynamically. Artificial intelligent model was generated and compared by using data obtained from the examination. Through this model, system was tested with untrained data. The generated model has been very close to test data and successful in high precision.

    • SDG 13 · İklim Eylemi
  • BildiriAçık Erişim2017Scopus SJRQ4
    Gold and silver content of plant Helichrysum arenarium, popularly known as the golden flower, growing in Gümüşhane, NE Turkey

    Vural, A.

    Geochemical and biogeochemical methods in mineral exploration have been widely used in recent years because of the depletion of known deposits and the need to explore buried deposits. The aim of this study was to investigate the gold and silver content of Helichrysum arenarium, popularly known as the golden flower, for possible exploration of precious ore deposits. For this purpose, plant samples of the respective plant parts (roots, stem-leaves and flowers) collected from Demirören village of Gümüşhane in the northeastern Turkey were analysed for gold and silver by using inductively coupled plasma mass spectrometry. Gold and silver contents of the plants was assessed on the basis of different statistical approaches. The results indicate that the plant has elevated levels of gold and silver concentrations, particularly in the case of gold. As a result, it was determined that the gold content of Helichrysum arenarium is remarkable and the gold accumulation capacity of the plant is high in the the stem-leaves, whereas the silver accumulation capacity of the plant is high in roots.

    AtıfScopus12WoS8OpenAlex10
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  • BildiriAçık Erişim2017
    THE EFFICIENCY of RANDOM FOREST METHOD for SHORELINE EXTRACTION from LANDSAT-8 and GOKTURK-2 IMAGERIES

    Bayram, B.; Erdem, F.; Akpinar, B.; Ince, A.K.; Bozkurt, S.; Catal Reis, H.; Seker, D.Z.; Karas, I.R.; Rahman, A.A.; Isikdag, U.

    Coastal monitoring plays a vital role in environmental planning and hazard management related issues. Since shorelines are fundamental data for environment management, disaster management, coastal erosion studies, modelling of sediment transport and coastal morphodynamics, various techniques have been developed to extract shorelines. Random Forest is one of these techniques which is used in this study for shoreline extraction.. This algorithm is a machine learning method based on decision trees. Decision trees analyse classes of training data creates rules for classification. In this study, Terkos region has been chosen for the proposed method within the scope of "TUBITAK Project (Project No: 115Y718) titled "Integration of Unmanned Aerial Vehicles for Sustainable Coastal Zone Monitoring Model – Three-Dimensional Automatic Coastline Extraction and Analysis: Istanbul-Terkos Example". Random Forest algorithm has been implemented to extract the shoreline of the Black Sea where near the lake from LANDSAT-8 and GOKTURK-2 satellite imageries taken in 2015. The MATLAB environment was used for classification. To obtain land and water-body classes, the Random Forest method has been applied to NIR bands of LANDSAT-8 (5th band) and GOKTURK-2 (4th band) imageries. Each image has been digitized manually and shorelines obtained for accuracy assessment. According to accuracy assessment results, Random Forest method is efficient for both medium and high resolution images for shoreline extraction studies.

    AtıfScopus23WoS18
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  • BildiriYalnız künye2017
    Determination of the genesis of tertiary aged volcanic rocks in the gümüşhane (Ne Türkiye) with gamma ray spectrometer method

    Maden, N.; Akaryali, E.; Aydınçakır, E.

    Eastern Pontide orogenic belt located in the Alp-Himalayan fold belt is divided into three subzones such as northern, southern and axial zones. These zones are controlled by the NE, NW and E-W directed fault systems. The study area whose geodynamic evolution is still debated is situated in the southern zone of the Eastern Pontide Orogenic belt. The views proposed for the geodynamic evolution of the eastern Pontides can be grouped into three. The geodynamic evolution of the region and genesis of the volcanic rocks are evaluated with a total 305 gamma ray spectrometer measurements surveyed at the Tertiary aged rocks in the Gümüşhane area. Total abundances of thorium ranges from 0.12ppm to 2.97 ppm, from 0.27ppm to 2.32 ppm for uranium, and from 0.09 % to 8.72 % for potassium. The average contents of radioelement concentrations computed over all measurements is: 0.85 (±0.33sd), 1.2(±0.54sd) ppm and 0.57 (±0.63sd) %, for U, Th and K, respectively. Numerical results verify that the parental magma of the Tertiary aged volcanic rocks probably derived from an enriched mantle originated from upper continental crust, previously metasomatized by subducted derived fluids..

  • BildiriYalnız künye2017
    Black sea basin satellite gravity data and major tectonic features: Tectonic implications

    Maden, N.

    The Black Sea is a marginal sea represented by the Caucasus to the east, by the Balkanides-Pontides to the south and southwest, the Crimean Mountains to the north, and young platforms (Moesian and Scythian) to the west and northwest.The Black Sea basin is divided into two parts, Western and Eastern, separated by the Mid Black Sea ridge.The origin of the eastern Black Sea basin and Pontides orogenic belt is still controversial due to lack of systematical geological, geophysical and geochemical data. It is widely accepted that the eastern Pontides orogenic belt was shaped by northward subduction of Neotethys or Paleotethys oceanic lithosphere during the late Mesozoic and the Black Sea basin opened as a back-arc basin behind the eastern Pontides magmatic arc. In this study, the tectonic elements of the Black Sea basin are investigated by using satellite gravity data.The time of formation of Black Sea basin occurred from Paleozoic to Mesozoic, showing the Black Sea is a remnant of the Paleotethys Ocean.The numerical studies give the indication of southward subduction model for the origin of the Pontides during late Mesozoic-Cenozoic and compressional tectonic regime is still active in the Eastern Black Sea region.

  • BildiriYalnız künye2017
    Detecting and removing repetitive errors from PPP time series by means of adaptive filter

    Yalvaci, Sefa; Ustun, Aydin; Berber, Mike Mustafa

    PPP (Precise Point Positioning) is a relatively new GNSS (Global Navigation Satellite System) method that enables position determinations using a single receiver. Being able to survey with a single receiver makes this approach more attractive and affordable than other GNSS positioning techniques. Since a single receiver is used, a drawback of this technique is propagation of errors such as orbit and clock uncertainties, atmospheric disturbances etc. Due to these errors, precision of point positioning may reach up to decimeter levels. Fortunately, some of these error sources such as orbital errors, multipath etc. are repetitive errors and therefore can be detected by using digital filters. Adaptive noise canceling filters are used to detect the correlated part of the time series. These filters optimize themselves using the Least Mean Square (LMS) algorithm which is a powerful tool for Geosciences and are also used for many engineering applications. In this study, it is aimed to detect repetitive errors on coordinate time series by using adaptive noise canceling filter. For the application, four stations have been selected from NGS CORS (National Geodetic Survey Continuously Operating Reference Station) network. Two of these stations are highly affected by multipath error and the other two are not. The coordinate time series of the GNSS sites have been obtained using PPP technique on kinematic mode (epoch by epoch) for several consecutive days. The cross-correlation analysis has been performed and up to 92% correlation has been detected between the daily time series. The correlated part of the data set has been captured by means of adaptive noise canceling filter and removed from the data set. After the filtration process, up to 50% precision improvement has been achieved on coordinate time series, especially for the stations affected by multipath.

    AtıfScopus1
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  • BildiriYalnız künye2017
    Regional and temporal evaluation of earthquake activity in tunceli province of Turkey: Standard normal deviate Z-test

    Öztürk, S.; Sari, M.

    A statistical evaluation of earthquake activity for Tunceli province of Turkey was made by applying standard normal deviate Z-test. For this purpose, regional and temporal changes of the seismicity rate at the beginning of 2017 was analyzed by using ZMAP software.The data set is compiled from Bogaziçi University, Kandilli Observatory and Earthquake Research Institute.There are 5462 events from September 21, 1970 to December 30, 2016 with magnitude larger than and equal to 1.1. Completeness magnitude is estimated as 2.8. Three regions indicating important quiescence anomaly were observed at the beginning of 2017.These anomalies are found centered at (a) 39.24°N-39.51°E (around city center, and between Ovacik and Pülümür), (b) 38.98°N-39.41°E (including Pertek) and (c) 38.96°N-39.78°E (region including Mazgirt).These quiescence anomalies are observed in the recent years and they start approximately at the years of 2012 and 2015.The regions in which seismic quiescence are found may be the possible areas for the future earthquakes and for this reason, special attention should be given to these regions. As an important result, the estimation of seismicity rate changes and detecting the precursory seismic quiescence can be used as an important tool in the assessment of earthquake potential.

  • BildiriYalnız künye2017
    Hardware optimization for belief propagation polar code decoder with early stopping Criteria using high-speed parallel-prefix ling adder

    Simsek, Cemaleddin; Turk, Kadir; Herencsar, N.

    Belief propagation (BP) polar code decoder is well-studied from many aspects. This study proposes a hardware optimization to improve performance of polar BP decoder by modifying both processing element (PE) and early stopping criterion (ESC). PE is optimized by using high-speed parallel-prefix Ling adder instead of carry ripple adder and WIB ESC introduced in literature is optimized by removing unnecessary adder array. FPGA implementation is made to verify the idea behind this study. The results show that throughput of polar code belief propagation decoder can be increase significantly by using proposed approach. More accurate comparison can be made by application specific chip design with same parameters. This part of the study will be held in future.

    AtıfScopus5WoS5OpenAlex4
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  • BildiriYalnız künye2017
    The determination of the pulse pile-up reject (PUR) counting for X and gamma ray spectrometry

    Karabidak, S.M.; Kaya, S.; Akkus, B.; Dogan, G.S.; Oktem, Y.; Guzelcimen, F.

    The collection the charged particles produced by the incident radiation on a detector requires a time interval. If this time interval is not sufficiently short compared with the peaking time of the amplifier, a loss in the recovered signal amplitude occurs. Another major constraint on the throughput of modern x or gamma-ray spectrometers is the time required for the subsequent the pulse processing by the electronics. Two above-mentioned limitations are cause of counting losses resulting from the dead time and the pile-up. The pulse pile-up is a common problem in x and gamma ray radiation detection systems. The pulses pile-up in spectroscopic analysis can cause significant errors. Therefore, inhibition of these pulses is a vital step. A way to reduce errors due to the pulse pile-up is a pile-up inspection circuitry (PUR). Such a circuit rejects some of the pulse pile-up. Therefore, this circuit leads to counting losses. Determination of these counting losses is an important problem. In this work, a new method is suggested for the determination of the pulse pile-up reject.

    AtıfScopus1WoS2OpenAlex1
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  • BildiriYalnız künye2017
    A day ahead hourly solar radiation forecasting by artificial neural networks: A case study for Trabzon province; [Yapay Sinir Aǧlari ile Gün Öncesi Saatlik Güneş Radyasyonu Tahmini: Trabzon İli Örneǧi]

    Çevik, Sibel; Çakmak, Recep; Altaş, Ismail Hakki

    The integration of renewable energy sources to the electrical grid leads to some issues in the grid because of intermittent and variable characteristics of renewable energy sources such as wind and solar. It has been predicted that the solar based electricity production will has highest annual increase rate among the other renewable sources. Due to the intermittent and volatile nature of the solar energy in an electricity grid where photovoltaic systems are intensive, load planning is essential. Therefore, day ahead solar radiation forecasting will contribute to the load planning studies. Artificial neural networks are one of the methods that are applied frequently and successfully in forecasting studies. In this study, a cause effect based artificial neural network (ANN) has been designed and performed for day ahead hourly solar radiation forecasting in Trabzon province. A similar day selection algorithm has been utilized to get more accurate forecasting by the ANN. The designed ANN has been trained and tested in MATLAB simulation environment without using ready codes of MATLAB ANN toolbox. The obtained results reveal that the designed ANN forecasts the solar radiation with acceptable error for a place such as Trabzon which has rainy and cloudy weather conditions.

    • SDG 7 · Erişilebilir ve Temiz Enerji
    • SDG 9 · Sanayi, Yenilikçilik ve Altyapı
    • SDG 13 · İklim Eylemi
    AtıfScopus9OpenAlex13
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