Sürdürülebilir Kalkınma Amaçları

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Araştırmacılar(4)

• Akıncı, Burak
• Macit, Nazife Şahin
• Tuna, Hasan
• Yanarateş, Cağfer

• MakaleAçık Erişim2026/r/gumushane/19447
  Future Expectations of Occupational Health and Safety Students: An Analysis Based on Educational and Socioeconomic Variables

  Tuna, Hasan; Kaplan, Ahmet

  This study examines the future expectations of Occupational Health and Safety (OHS) students regarding socioeconomic determinants and the emerging digital competency gap. The sample comprises 359 students selected through convenience sampling using the "Future Expectation Scale." Results indicate students possess moderate future expectations (x̄=2.66); while career optimism is high (x̄=3.93), economic and social outlooks are significantly lower. Notably, students from foundation universities and industrially active regions exhibit significantly higher expectations. These disparities highlight a critical gap in accessing practical training resources. Consequently, the study concludes that traditional educational methods are insufficient to meet modern industry demands. Integrating immersive technologies, such as Virtual Reality (VR) and Augmented Reality (AR), into OHS curricula is essential to bridge the gap between theoretical knowledge and Industry 5.0 requirements, enhancing student motivation and career readiness.

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• MakaleAçık Erişim2026/r/gumushane/19429
  Lojıstık verımlılıkten sürdürülebılır kalkınmaya: G20 ülkelerı ıçın lpı ve sdgs endekslerının entegratıf analızı

  Macit, Nazife Sahin

  Bu çalışma, G20 ülkelerinde lojistik performans ile sürdürülebilir kalkınma arasındaki etkileşimi, 2022 yılı Lojistik Performans Endeksi (LPI) ve seçilmiş Sürdürülebilir Kalkınma Hedefleri (SKH) göstergeleri temelinde, bütüncül bir perspektifle incelemiştir. Korelasyon analizi ile LPI genel skoru ve alt boyutları ile SKH göstergeleri arasındaki ilişkinin boyutunu ve yönünü; sonrasında çok kriterli karar verme (ÇKKV) ve Borda yöntemleri ile ülkelerin bütünleşik performans sıralamasını açığa çıkarmayı hedeflemektedir. Korelasyon analizleri, özellikle gümrük işlemleri verimliliği, lojistik hizmetlerin kalitesi ve zamanında teslimat alt boyutları ile ithal oransızlaşma arasında; gümrük işlemleri verimliliği ile temel içme suyu hizmetlerine erişim arasında, zamanında teslimat ile temel sanitasyon hizmetlerine erişim gibi SKH göstergeleri arasında anlamlı pozitif ilişkiler olduğunu göstermiştir. Diğer taraftan, yetersiz beslenme oranı ile LPI ve alt göstergeleri arasında negatif fakat anlamsız bir ilişkinin olduğu, ayrıca elektriğe erişim ile LPI göstergeleri arasında da anlamlı bir korelasyon bulunmadığı tespit edilmiştir. SITDE yöntemi ile hesaplanan kriter ağırlıkları hesaba katılarak ülkelerin performanslarının değerlendirilmesinde FANMA, SWEI ve TODIFFA yönteminden faydalanılmış ve ortaya çıkan sonuçların birleşimi ise Borda yöntemi ile gerçekleştirilmiştir. Yapılan bütünleşik değerlendirme sonucunda Almanya, Fransa ve Çin’in en yüksek entegre lojistik ve sürdürülebilir kalkınma performansına sahip olduğu; Güney Afrika, Endonezya ve Meksika’nın ise en düşük performans sergilediği ortaya çıkmıştır. Sonuçlar, gelişmiş lojistik altyapının hem ekonomik rekabet gücünü hem de sürdürülebilir kalkınmaya katkıyı desteklediğini ortaya koymakta ve politika yapıcılar için lojistik ve sürdürülebilirlik stratejilerinin entegrasyonuna yönelik önemli ipuçları sunmaktadır.

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• MakaleAçık Erişim2026/r/gumushane/13769
  Enhanced Sensorless Current Control in Boost Converters for EV Fast Charging: Equilibrium Optimization-Tuned Cascaded ANN-Fuzzy Logic Control

  Altan, Aytac; Yanarates, Cagfer; Alzaidi, Mohammed S.

  Efficient current control in boost converters is critical for electric vehicle (EV) battery charging applications, where dynamic operating conditions challenge conventional control strategies. This paper presents a novel cascaded artificial neural network (ANN) and fuzzy logic (ANFIS) controller designed to enhance current regulation in boost converters. The performance of the proposed approach is validated through comparison with single PI, cascaded PI, and single ANFIS control schemes. To improve system performance, a sensorless current estimation technique is implemented, reducing hardware dependency and enhancing robustness, while lowering system cost. Experimental evaluations demonstrate that the proposed cascaded ANFIS controller maintains consistent current levels under rapid load changes, providing improved transient response and steady-state accuracy. Specifically, the proposed method achieves a settling time of 23 ms, compared to 185 ms for single PI and 66 ms for single ANFIS control, corresponding to an 87.6% improvement over PI. In addition, overshoot is reduced from 37.25% (PI) and approximately 20% (ANFIS) to negligible levels, while a fast rise time of 3.62 ms is obtained. These improvements reduce current deviation and transient stress, contributing to more stable and reliable charging operation. Although charging time, efficiency, and battery lifetime are not directly measured, the results indicate strong potential for improved practical charging performance. The proposed approach provides valuable insights into the integration of intelligent control methods in power electronics and supports the development of high-performance EV charging systems.

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• MakaleAçık Erişim2026/r/gumushane/13522
  In-depth Analysis of the Control Unit for Multiple Voltage Rails to Drive a Variety of ICs

  Yanarateş, Cağfer; Altan, Aytaç

  Generating a negative output voltage rail from a positive input voltage is possible by reconfiguring an ordinary buck regulator into an inverting buck-boost (IBB) topology. Rather than operating considerations such as voltage and current stresses, the main challenge associated with this transformation arises from differences in the small-signal closed-loop characteristics. The most critical distinction is the presence of a right-half-plane (RHP) zero in the control-to-output transfer function of the IBB, which introduces non-minimum-phase behaviour, reduces the achievable phase margin, and may lead to instability and poor load transient response. For conventional PI controllers, the buck and IBB converters resulted in settling times of 5.0 ms and 6.8 ms, with overshoots of 13.65% and 8.46%, respectively, thus demonstrating the performance limitations of fixed-gain designs. As a solution, an auto-tuned PI controller with adaptive features has been proposed, which operates effectively in both the buck and IBB topologies. The proposed scheme achieves a significantly faster settling time of 2.27 ms with overshoot and undershoot below 2%, thereby ensuring superior robustness and dynamic performance compared to conventional approaches.

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• MakaleYayıncıda açık erişim2026/r/gumushane/13454
  Measurement-aware zero-phase iterative learning control for robust regulation of nonideal boost converters in electric vehicle fast charging

  Altan, Aytaç; Alzaidi, Mohammed S.; Yanarateş, Cağfer

  Integrating battery energy storage with DC-DC boost converters for electric vehicle fast charging exposes the regulator to ageing-induced parameter drift, periodic load pulses, and, critically, the nonidealities in the output-voltage sensing chain. This paper proposes a measurement-aware, zero-phase iterative learning control scheme for robust output-voltage regulation of a nonideal boost converter whose parameters are matched to those of a commercial Texas Instruments TPS6102x battery regulator. The controller combines an inner proportional-integral stabilizing loop with an outer zero-phase learning law that updates a feedforward correction based on the sensor-captured output trajectory; a forward-backward robustness filter suppresses the amplification of measurement noise and quantization across successive trials without introducing phase lag. The averaged small-signal model is validated against a 960 kHz switched simulation, with agreement within 0.2% at the operating point and a transient-waveform correlation of 0.91, while the bandwidth limitations imposed by the lightly damped resonance and the nonminimum-phase dynamics on feedback are quantified from the loop frequency response. Because feedback alone is bandwidth-limited, the learning feedforward recovers the intrinsic converter speed for the repetitive task and reduces the periodic tracking error by more than an order of magnitude relative to a fairly tuned baseline. A bounded-error convergence theorem shows that, under real sensing, the tracking error converges to a neighbourhood whose size is proportional to the measurement-disturbance level; this is confirmed numerically, with the asymptotic error scaling approximately linearly with the noise standard deviation once the noise dominates the filter bias. Systematic sweeps of converter resolution, noise, and sensor delay show that the zero-phase measurement-aware law remains bounded where a naive learning law diverges, and a 500-sample Monte Carlo study confirms robustness to component tolerances, load variation, and parasitic aging. The primary physical task is the rejection of a repeating high-current charging pulse: over successive charging cycles the scheme reduces the periodic output-voltage sag from 35% to below 0.01%, whereas the best feedback comparator leaves a 17% residual, and the sinusoidal reference used elsewhere serves as a spectral diagnostic that isolates the feedback-bandwidth ceiling at a single known frequency. The learning law is further verified in closed loop on the cycle-by-cycle switched large-signal converter, where it converges and stays bounded. A per-unit scale-invariance analysis then establishes the conditions under which the design obtained on the low-power benchmark transfers to fast-charging power levels, as confirmed on a 400 V, 6.1 kW stage that reproduces the benchmark convergence exactly.

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• MakaleAçık Erişim2026/r/gumushane/12262
  An Integrated MCDM Framework for Sensitivity of Weighting Methods and Ranking Aggregation: Evidence From Financial Performance Evaluation

  Macit, Nazife Şahin

  This study proposes an integrated framework for evaluating alternatives in Multi-Criteria Decision Making (MCDM) by addressing weight sensitivity and ranking integration. The aim is to examine the effects of different criteria-weighting methods on ranking results and to develop a more consistent decision-making structure by integrating the resulting rankings. Financial performance indicators of Derimod Konfeksiyon A.Ş., listed on Borsa Istanbul (BIST), were evaluated using the Entropy, WENSLO, and MPSI weighting methods, while the MACAD method was employed to rank the alternatives. The analysis was initially conducted for the 2018–2024 period; however, identical rankings obtained across all weighting methods limited the assessment of weight sensitivity. Therefore, the analysis period was extended to 2015–2024, resulting in ranking variations that enabled a more meaningful comparison of the weighting methods. In the final stage, the resulting rankings were integrated into a single consensus ranking using the CURLIA method. The findings indicate that the proposed framework reduces inconsistencies arising from the use of different weighting methods and produces more stable and reliable performance evaluations. Consequently, the study contributes to the MCDM literature by presenting an integrated methodological framework and demonstrating its applicability to financial performance evaluation.

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• MakaleAçık Erişim2025/r/gumushane/16690
  An Integrated Evaluation of Climate Change and Environmental Sustainability in G20 Countries Using Advanced MCDM Methods

  Sahin Macit, Nazife

  This study analytically assesses the climate change and environmental sustainability performance of G20 countries using data from the 2024 Climate Change Performance Index (CCPI) and Environmental Performance Index (EPI) reports. The analysis employs Sum-Weighted Information (SWI) and Ranking Alternatives with Weights of Criterion (RAWEC), which are Logarithmic Decomposition of Criteria Importance (LODECI)-based multi-criteria decision-making (MCDM) methods. The study created three separate decision matrices, taking into account the CCPI and EPI criteria individually, as well as their combination. The criterion weights were determined using the LODECI method; greenhouse gas emissions, climate policy, and air quality were the most significant criteria. The results show that China and Saudi Arabia demonstrate strong environmental performance in CCPI-based rankings, while Germany, the United Kingdom and France demonstrate strong performance in EPIbased evaluations. In the integrated analysis, Germany ranked first using both methods. The consistency of the rankings obtained using the SWI and RAWEC methods was high, which supports the reliability of the analyses. However, some differences in ranking were observed depending on the method used, the distribution of criteria and the country sample. Overall, the study emphasizes the pivotal role of methodological diversity and data-driven approaches in multidimensional environmental assessments for policy-making, while demonstrating the robustness of the findings through sensitivity and comparative analyses.

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• MakaleAçık Erişim2025/r/gumushane/19580
  Optimizing Reflow Soldering Oven Temperature Control: A Mathematical Approach with First-Order Modelling and PI Controller Design

  Altan, Aytaç; Yanarates, Cagfer

  This paper presents a comprehensive analysis of the identification and control of a reflow soldering oven, with the primary goal of developing a Proportional-Integral (PI) controller to ensure precise temperature regulation and high-quality solder joints in circuit board manufacturing. The study begins by examining the generic thermal profile of a reflow soldering oven, offering insights into its temperature dynamics and control requirements. A mathematical model of the oven is derived using a first-order transfer function with transport delay, based on system response analysis. This model serves as the basis for designing and tuning the PI controller. The design process involves a systematic approach, including model validation and performance analysis under various operating conditions. The optimization of temperature control focuses on minimizing overshoot, compensating for steady-state errors, and ensuring robust responses to disturbances. Comprehensive simulations are conducted to evaluate the system's performance and stability, taking into account potential disturbances, noise, and time delays. The effectiveness of the developed PI controller is validated through comparisons with a simple Proportional (P) controller, and its accuracy is verified using the pole placement method. The results demonstrate significant improvements in temperature control, highlighting the controller's ability to precisely maintain desired thermal profiles.

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• MakaleYalnız künye2025/r/gumushane/19566
  Assessment of Türkiye’s renewable energy, economic growth, and emissions (2000-2021): A decision-making approach with MAXC and MUTRISS models

  Macit, Nazife Sahin

  This study investigates Türkiye’s performance in renewable energy utilization, economic growth, and carbon emissions between 2000 and 2021 through the application of multi-criteria decision-making (MCDM) methods. By employing MAXC and MUTRISS as decision-making models, this study facilitates the integrated assessment of economic development and environmental sustainability objectives. The MAXC-based analysis identifies economic growth (GDP) as the most influential criterion aligned with national development objectives, while environmental sustainability emerges as a secondary yet essential component. Renewable energy consumption is underscored as a fundamental element of sustainable development. The MUTRISS findings indicate that Türkiye exhibited its highest overall performance in 2004, whereas 2007 and 2008 were marked by the lowest performance levels, potentially reflecting the adverse effects of economic downturns and environmental pressures. To validate the robustness of the applied methods, comparative analyses were conducted with other MCDM techniques. Spearman rank correlation results reveal strong concordance between MAXC and objective weighting methods such as Entropy, MPSI, and IDOCRIW, while showing a negative correlation with CILOS. Conversely, MUTRISS demonstrated moderate positive correlations with PIV, SAW, and CoCoSo, indicating relatively lower ranking consistency. The findings contribute to the methodological evaluation of MCDM tools and emphasize the importance of integrated economic–environmental policy approaches in sustainability assessments.

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• MakaleAçık Erişim2025/r/gumushane/14149
  Solving the Dynamic Stability Challenge of Automatic Gain-Controlled Phase-Locked Loops: A Robust Alternative via Enhanced SRF-PLL Design and Implementation

  Yanarateş, Cağfer; Altan, Aytaç

  This study presents a robust alternative to conventional phase-locked loop (PLL) architectures through the design and real-time implementation of an enhanced Synchronous Reference Frame Phase-Locked Loop (SRF-PLL) for single-phase inverter systems. Targeting the inherent dynamic stability limitations of Automatic Gain-Controlled PLLs (AGC-PLLs), the proposed SRF-PLL demonstrates superior performance in transient response and tracking accuracy. Comparative evaluations under diverse dynamic operating conditions—including phase angle jumps, voltage sags/swells, frequency steps, noise, and harmonic distortion—highlight its resilience and adaptability. Experimental results reveal a substantial improvement in dynamic response, achieving 2.5 to 6 times faster settling times depending on the operating condition. Moreover, peak-to-peak oscillations were significantly suppressed, with deviations reduced from 2° to nearly 0° under a 5 Hz frequency step scenario, even in the presence of 3rd order harmonic injection. For a 40° phase angle step, the proposed system achieves a fivefold improvement in attenuation time (0.03 s vs. 0.11 s) compared to the AGC-PLL. Under voltage sag conditions with noise and 3rd order harmonic injection, the enhanced SRF-PLL reduces the attenuation time from 0.2 s to 0.08 s. During voltage swell scenarios, it further improves the response time from 0.025 s to 0.01 s. These findings confirm the practical benefits and efficiency of the enhanced SRF-PLL for applications requiring precise and reliable phase tracking and synchronization.

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