https://dspace.mnau.edu.ua/jspui/handle/123456789/11892 2026-06-25T00:08:45Z https://dspace.mnau.edu.ua/jspui/handle/123456789/26314 Назва: Burst-Aware Cascade Detection of UAV Radio-Frequency Signals Using Energy and Cyclostationary Analysis Автори: Sova, Ivan; Kozlov, Oleksiy; Kondratenko, Yuriy; Кондратенко, Юрій Пантелійович; Атаманюк, Ігор Петрович; Atamanyuk, Igor; Aleksieieva, Anna Короткий огляд (реферат): The increasing activity of unmanned aerial vehicles (UAVs) has intensified the demand for reliable and computationally efficient methods for passive radio-frequency (RF) signal detection. In practical RF monitoring scenarios, the environment is often non-stationary and affected by varying noise conditions. Under such circumstances, classical energybased detectors are sensitive to noise uncertainty, while more robust approaches, such as cyclostationary analysis, require substantially higher computational resources. This work presents a burst-aware cascade method for UAV RF signal presence detection that explicitly addresses this trade-off. The proposed framework combines fast energy-based screening with temporal burst aggregation, applying spectral correlation function (SCF) analysis selectively and only when sustained signal activity is indicated. Detection is performed on fixed-length RF signal chunks, while additional segment-level duration constraints are used to characterize sustained transmissions. The method is evaluated using the publicly available DroneRF dataset and compared against six baseline detectors, including fixed-threshold energy, wavelet-based, blind cyclostationary, two adaptive energy detector variants, and a lightweight convolutional neural network. Experimental results confirm that chunk-level detection remains difficult for all considered methods. Temporal aggregation across longer intervals yields a substantial improvement: the cascade achieves Pd = 1.000 and AUC = 1.000 at the segment level, matching exhaustive cyclostationary detection while reducing per-segment processing time by a factor of 2.46. An additional result is that burst-level concatenation prior to SCF estimation provides implicit coherent integration, preserving Pd = 1.000 at signal amplitude reductions of up to −20 dB where standalone detectors degrade to Pd = 0.995. Overall, burst-aware cascade architectures offer a practical and interpretable approach to RF-based UAV monitoring, providing a well-grounded compromise between detection reliability and computational efficiency under realistic operating conditions. 2026-01-01T00:00:00Z https://dspace.mnau.edu.ua/jspui/handle/123456789/26313 Назва: Influence of growing white mustard under the conditions of the Southern Steppe of Ukraine Автори: Кувшинова, Анна Олександрівна; Kuvshinova, Anna; Федорчук, Михайло Іванович; Fedorchuk, Mykhailo; Федорчук, Валентина Григорівна; Fedorchuk, Valentyna; Кутняк, В. Є.; Kutniak, Viacheslav Короткий огляд (реферат): This research assesses the impact of white mustard (Sinapis alba L.) cultivation on soil characteristics and agroecosystem productivity in Ukraine's Southern Steppe. The study examined southern chernozems, evaluating the physical and chemical parameters of the soil prior to and following mustard planting. The results indicated that mustard cultivation markedly enhanced soil structure, evidenced by an increase in water-stable aggregates (56- 60% versus 42-45% in the control group). It also improved water infiltration rates (3.5-3.8 mm/min compared to 2.1-2.4 mm/min), moisture retention, and decreased bulk density (1.18- 1.22 g/cm³ compared to 1.28-1.33 g/cm³). Furthermore, the crop elevated humus content to 3.00-3.05% and yielded 3.5-4.0 t/ha of dry organic matter, hence enhancing the soil's nutritional composition. The chemical enhancements comprised elevated concentrations of nitrogen, phosphorus, potassium, calcium, and magnesium, which are vital for facilitating plant growth. Furthermore, white mustard demonstrated a decrease in wind and water erosion losses, hence improving soil resilience. The crop exhibited competitive benefits by decreasing weed infestation by 58-62%, hence fostering more sustainable agricultural practices in the region. The findings indicate that white mustard is a viable green manure crop for promoting soil fertility, reducing erosion, and bolstering agroecosystem resilience in semi-arid areas such as the Southern Steppe. Additional investigation is advised to examine its enduring effects across various agroecological regions. 2026-01-01T00:00:00Z https://dspace.mnau.edu.ua/jspui/handle/123456789/26312 Назва: Study on performance of sunflower hybrids (Helianthus annuus) under the conditions of the Southern steppe of Ukraine Автори: Дробітько, Антоніна Вікторівна; Drobitko, Antonina; Дробітько, Олексій Миколайович; Drobitko, Oleksii; Смірнова, Ірина Вікторівна; Smirnova, Irina; Zhukovskyi, Serhii Короткий огляд (реферат): The research sought to identify the optimal sunflower hybrids for cultivation in the Southern Steppe of Ukraine. The study focused on climate stress adaptation, yield, oil content and disease resistance to select the best sunflower hybrids for agriculture in the Southern Steppe of Ukraine. The study found that hybrids with a shorter vegetation cycle, such as Lorys SLP (105-107 days), Averon SU (109-115 days), and Insan 222 KLP (109-115 days), were highly adaptable to autumn droughts, allowing them to finish the vegetation period before critical drought conditions, ensuring stable yields even with limited water supply. The hybrid Aluris KLP (105-107 days) had the best yield (4.6-5 t/ha) and oil content (52-54%), although its productivity depended on appropriate moisture during seed filling and ripening. The Aluris KLP hybrid had the highest oil content (52-54%) and oil output (2.29-2.59 t/ha), which increased the crop's economic efficiency. All hybrids are highly resistant to broomrape (races A-G), which helps manage critical diseases under regional settings. The Insan 222 KLP hybrid is promising for growing under strong disease pressure because to its great phomopsis resistance. © The Author(s). 2026-01-01T00:00:00Z https://dspace.mnau.edu.ua/jspui/handle/123456789/26311 Назва: Effect of mother corm (Crocus sativus L. Iridaceae) on the productivity of daughter saffron corm in the Northern Black Sea region of Ukraine Автори: Панфілова, Антоніна Вікторівна; Panfilova, Antonina; Миколайчук, Віра Георгіївна; Mikolajchuk, Vira; Корхова, Маргарита Михайлівна; Korhova, Margarita; Артюшенко, Валерій Васильович; Artushenko, Valerii Короткий огляд (реферат): The study aimed to determine the effect of mother corm size on the productivity and yield structure of daughter corms of saffron (Crocus sativus L.) under a three-year cultivation system in the Southern Steppe zone of Ukraine (Mykolaiv region). A field experiment was established in August 2019 using three size fractions of corms: large (25.46 ± 1.82 mm), medium (18.5 ± 0.96 mm), and small (7.40 ± 0.21 mm), and harvesting with morphometric analysis was conducted in June 2022. The results showed that the size of the initial planting material had a decisive influence on productivity. However, yield structure differed significantly among treatments: the proportion of large, potentially flowering daughter corms was highest with small mother corms (49.1% by mass) and lowest with large mother corms (18.3%). Thus, large planting material is recommended to maximize total corm yield, whereas the inclusion of small mother corms is advisable when the goal is to obtain a higher proportion of flowering corms, which is important for both saffron planting material producers and flower-oriented farms. 2026-01-01T00:00:00Z