The static aeroelastic characteristics of the distributed propulsion wing (DPW) were studied using the CFD/CSD loose coupling method in this study. The momentum source method of the Reynolds-averaged Navier–Stokes equation based on the k-ω SST turbulence model solution was used as the CFD solution module. The upper and lower surfaces of the DPW were established using the cubic B-spline basis function method, and the surfaces of the inlet and outlet were established using the fourth-order Bezier curve. Finally, a three-dimensional parametric model of the DPW was established. A structural finite-element model of the DPW was established, a multipoint array method program based on the three-dimensional radial basis function (RBF) was written as a data exchange module to realize the aerodynamic and structural data exchange of the DPW’s static aeroelastic analysis process, and, finally, an aeroelastic analysis of the DPW was achieved. The results show that the convergence rate of the CFD/CSD loosely coupled method is fast, and the structural static aeroelastic deformation is mainly manifested as bending deformation and positive torsion deformation, which are typical static aeroelastic phenomena of the straight wing. Under the influence of static aeroelastic deformation, the increase in the lift characteristics of the DPW is mainly caused by the slipstream region of the lower surface and the non-slipstream region of the upper and lower surface. Meanwhile, the increase in its nose-up moment and the increase in the longitudinal static stability margin may have an impact on the longitudinal stability of the UAV. To meet the requirements of engineering applications, a rapid simulation method of equivalent airfoil, which can be applied to commercial software for analysis, was developed, and the effectiveness of the method was verified via comparison with the CFD/CSD loose coupling method. On this basis, the static aeroelastic characteristics of the UAV with DPWs were studied. The research results reveal the static aeroelastic characteristics of the DPW, which hold some significance for engineering guidance for this kind of aircraft.

Numerous studies on EEG signals have revealed differences in brain activity patterns between males and females. However, these differences aren't always consistent or significant, as they can be affected by factors like age, task engagement, and specifics of EEG measurements. In our research, we introduce a new approach to detect gender called 'Stream-based Identification of Gender using Noninvasive Electroencephalographic Technology. We employed this technique to investigate how male and female brains respond differently during video streaming tasks with the aim of exploring functional disparities between them. This study aims to advance our understanding of gender-specific brain responses. We used data collected in our previous research from 122 volunteers (85 male, 37 female). Utilizing a deep learning (DL) approach allowed us to achieve 99% accuracy in gender identification. The applications of our model extend to various fields, including advertisements, multi-level security systems, and healthcare, showcasing the potential of advanced machine learning techniques in neuroscientific research.

Following the constitutional provision stating that “Mongolia has an armed force for self-defence” [1], and fulfilling its duty to safeguard its territory, borders, and national security, the technical equipment of the radar station, which monitors the current airspace, is undergoing rapid development. This involves updating and improving the system, as well as transitioning from analogue to digital, with the automation process progressing swiftly day by day. For Mongolia, it is very important to determine the angle of rotation of the radar antenna used in the armament of the Air Force of the Armed Forces and determine the target detected in the airspace. This paper introduces a novel hardware and software solution for simulating the control of a radar antenna rotation system and processing the output signal of a Selsin sensor to determine the rotation angle. Due to the confidentiality of military information, this article does not include device brands, specifications or bibliography. Радарын антены эргэлтийн системийн удирдлагыг загварчлах нь Хураангуй: "Монгол Улс нь өөрийгөө хамгаалах зэвсэгт хүчинтэй байна"[1] гэсэн үндсэн хуулийн заалтын хүрээнд өөрийн нутаг дэвсгэр, хил хязгаар, үндэсний аюулгүй байдлыг хамгаалах үүргийнхээ дагуу одоо ашиглагдаж буй агаарын орон зайд хяналт тавих радиолокацын станц (цаашид радар гэх)-ын техник хэрэгслүүдийг шинэчлэх, сайжруулах, аналог системээс дижитал буюу тоон системд шилжүүлэх, автоматжуулах ажлыг өдрөөс өдөрт маш хурдацтайгаар хөгжүүлсээр байна. Монгол Улсын хувьд Зэвсэгт хүчний Агаарын цэргийн зэвсэглэлд ашиглагдаж буй радарын антены эргэлтийн өнцгийг тодорхойлж агаарын орон зайд илэрсэн бай/цель/-г оновчтой илрүүлж тогтоох нь нэн чухал юм. Энэхүү өгүүллээр радарын антены эргэлтийн системийн удирдлагыг загварчилсан ба эргэлтийн өнцгийг тодорхойлох сельсин мэдрэгчийн гаралтын дохиог боловсруулах техник хангамжийн болон программ хангамжийн шинэ шийдлийг танилцуулж байна. Цэргийн мэдээллүүд нууцлалын зэрэгтэй тул энэхүү өгүүлэлд төхөөрөмжийн марк, техникийн үзүүлэлт мөн ном зүйг дурдах боломжгүй юм. Түлхүүр үгс: Сельсин, энкодер, хөдөлгүүр, радар, тоон дохио