Abstract For high-precision positioning and attitude determination of unmanned systems in marine environments such as surface vessels (USV) underwater vehicles (UUV), precise point (PPP) inertial navigation system (INS) integrated are usually recommended. The post-mission smoothing algorithms can fully utilize observations to provide optimal estimates address the limitations inherent Kalman filtering (KF) satellite signal degraded environments. We propose a new post-processing scheme...

Self-localization is critical for many unmanned aerial vehicles (UAVs) tasks such as formation flight, path planning, and activity coordination. Traditionally, UAV can locate itself using GPS combined with some inertial sensors. However, due to the complex flight environment or failure of receiver, may lose its signal fail itself, resulting in devastating consequence. In this paper, we will consider problem cooperative localization among multiple UAVs, which UAVs receiver help each other...

Abstract Despite advancements in global navigation satellite system/inertial system (GNSS/INS) integrated systems, the challenge of achieving rapid and accurate initial heading alignment remains, particularly low-grade IMUs marine applications with swaying conditions. This study introduces an innovative in-motion method utilizing time-differenced carrier phases (TDCP) from a single GNSS antenna IMU based on fundamental principle trajectory similarity. The angle is determined by comparing...

An improved genetic algorithm with infeasible solution disposing of distribution network reconfiguration is proposed in this paper. Decimal encoding and size chromosome equals to the count tie switches. Not only discrimination but also its corrective disposition under complex loops given. In evolution course, ratio feasible 1, valuable information that reflects preserved mostly, problem low efficiency local optimum avoided. Make crossover mutual operator adjusted adaptively nonlinearly,...

Negative selection algorithm (NSA) is an important detector generation of artificial immune system (AIS). Traditional NSAs randomly generate detectors in the whole antigen space without considering distribution self/non-self antigens, therefore it difficult for to cover evenly and a seriously time-consuming self-tolerance process required. Aiming at problem, we proposed novel NSA based on triangulation coverage (ASTC) called ASTC-RNSA. In order avoid randomness traditional NSAs, employed...

Negative selection algorithm (NSA) is an important kind of the one‐class classification model, but it limited in big data era due to its low efficiency. In this paper, we propose a new NSA based on Voronoi diagrams: VorNSA. The scheme detector generation process changed from traditional “Random‐Discard” model “Computing‐Designated” by Furthermore, present immune detection VorNSA under Map/Reduce framework (VorNSA/MR) further reduce time consumption massive testing stage. Theoretical analyses...

Abstract Tin‐lead alloyed perovskites with broadband absorption over 1000 nm, are suitable for UV‐vis‐NIR light detection that rivals the crystalline silicon semiconductors. These usually experience local lattice distortion and inherent strain, which affect electronic band structures introduce detrimental trap states subsequently. To date, strain its impact on physical properties of tin‐lead still less understood. Herein, it is shown contributes substantially to edge structure multication by...

For the integrated system incorporating a low-cost inertial measurement unit (IMU) and global navigation satellite (GNSS), rapid accurate initial heading alignment is still significant challenge, especially for marine applications in challenging ocean conditions. To overcome this difficulty, we propose an in-motion coarse method using single-antenna GNSS low-grade IMU based on basic principle of trajectory similarity. The angle determined by dead reckoning (DR)-derived GNSS-derived gyro...

This paper introduces a novel Particle Swarm Optimization (RLPSO) algorithm based on reinforcement learning, embodying fundamental symmetry between global and local search processes. aims at addressing the trade-off issue convergence speed diversity in traditional algorithms. Traditional (PSO) algorithms often struggle to maintain good particle when solving multi-modal function problems. To tackle this challenge, we propose new that incorporates principles of enabling particles intelligently...

In the industrial production, as an important transmission part, screw thread is applied extensively in many automation equipments. The traditional measurement methods of parameter, including integrated test multiparameters and single parameter method, belong to contact method. practical exists some disadvantages, such relatively high time cost, introducing easily human error causing damage. this paper, a new kind real-time non-contact system based on image processing method developed...

Herein, the scalable chemical bath deposited NiO x ‐NiSO 4 heterostructured films are reported as efficient hole transport layers (HTLs) in perovskite solar cells. The show excellent extraction ability and reduce interfacial charge recombination cell devices. By using HTLs, a high power conversion efficiency of 20.55% is obtained, which about 12.23% greater than that pure layer. This study provides simple solution‐processing route toward large‐area production fabrication full inorganic for...

Nickel oxide (NiOx ) is a promising hole transport material (HTM) for perovskite photovoltaics owing to its chemical stability and low cost. However, most NiOx based solar cells deliver relatively weak performance because of insufficient electrical property interfacial contact. In this work, self-formed PbI2 /NiOx interface was developed stabilize the Ni3+ centers, which beneficial band alignment in cells. Combined with ultraviolet ozone treatment (UVO) sequential deposition, density centers...

Under the electricity market environment, when power supply of distribution network is feed from several substations which purchase prices are different, optimal reconfiguration topology cannot depend upon object minimum losses. This paper proposes a algorithm considering minimal cost or maximal benefit else. Associate refined branchexchange includes differences prices, substitute actual losses by approximate losses, and use complicated heuristic rules avoided, through optimization can...

This paper analyzes the characteristics of a small turbojet engine starting process, it puts forward an idea building models in accordance with different phases process. Taking use method which combines test data and physical models, establishes speed current optimizes simulates dynamic process current. The results modeling prove rationality sectional effectiveness mixed models.

Real-value based negative selection algorithm (NSA) is an important detector generation of Artificial Immune System. Traditional real-value generates immune detectors randomly and does not consider the sample distribution, therefore too many candidate overlap in feature space resulting excessive redundancy. This leads to a low efficiency decreases performance NSA. To aim at this problem, paper proposes novel on Delaunay triangulation (dnyNSA). Firstly, dnyNSA uses method analyze topological...

Bei Dou satellite navigation system (BDS for short) is original constructed to perform tasks as open, global, compatible system. BDS signal has adjacent relationship with WIFI6 in S-band, which great communication rate increasingly used urban recent years. To achieve success operating under WiFi6 environment, we have overcome numerous challenges, are the need avoiding narrow-band interference caused by WiFi6. Analyzed characteristic of subcarrier and width, built experiment obtain band...

This paper explores the integration of artificial intelligence (AI) technology in field medical devices and its impact on safety. It analyzes current challenges, successful cases, lessons learned from failures, future development directions. AI significantly enhances safety efficiency through predictive maintenance, risk assessment, performance optimization. However, issues such as data privacy, liability, algorithmic bias have also emerged, requiring strategies like regulatory improvements,...