Abstract.This study focuses on sensitive data security challenges in smart home systems within the context of the Internet of Things (IoT), exploring the application value of cryptographic algorithms in data protection. The paper systematically reviews four cryptographic algorithm types suitable for smart homes: symmetric, asymmetric, hash, and lightweight algorithms. It analyzes specific implementation methods of these algorithms in data collection, transmission, storage, and user authentication processes, while conducting experimental tests to compare efficiency, resource consumption, and security … Read more →

Abstract.This study addresses the optimization of crop planting arrangements for the period from 2024 to 2030, with the objective of maximizing the cumulative economic return. A dynamic programming framework is adopted as the primary methodology, while the decision-making logic of the greedy algorithm is incorporated to update the planting strategy year by year. Specifically, the planting decision for each year is determined on the basis of the forecast results and operational outcomes of the preceding year. For the two possible disposal strategies of unsold agricultural products, separate multi-stage … Read more →

Abstract.Rolling bearing fault diagnosis is essential for the reliability and safety of rotating machinery, yet its effectiveness in industrial practice is fundamentally challenged by noise. This narrative review argues that noise in bearing fault diagnosis should not be treated as a single additive disturbance, but rather as a collection of distinct phenomena — environmental and background signal noise, sensor and acquisition noise, operating-condition-induced domain shift, label noise, and compound noise scenarios — each affecting different stages of the diagnostic pipeline and demanding … Read more →

Abstract.Microplastic detection provides an essential basis for investigating environmental contamination, elucidating transport patterns, assessing human exposure, and evaluating ecological risks. In recent years, research has progressed from early visual screening and single-particle identification to an integrated analytical framework that combines sample collection, matrix separation, chemical composition confirmation, particle counting, polymer mass quantification, and automated data processing. This review summarizes recent advances in microplastic detection over the past five years and discusses … Read more →

Abstract.Portrait image quality in user-provided photographs is frequently compromised by highly variable capture conditions, including underexposure, facial shadows cast by side lighting, and color casts introduced by indoor illuminants. This paper presents an interpretable, fully ablatable workflow for portrait-perception-based color normalization. The algorithm builds a multidimensional statistical profile of the face and the surrounding scene in the LAB and HSV color spaces, and uses this profile to drive adaptive color-cast correction with a dead-zone-and-damping mechanism, localized skin-tone … Read more →

Abstract.This paper develops a data-driven framework to infer confidential audience voting and to evaluate voting aggregation mechanisms in Dancing with the Stars under rule changes and structural bias.  We propose a two-stage inverse approach.  In Stage 1, a Bradley Terry style model is fitted to historical elimination sequences to estimate each contestants latent fan strength, forming a prior preference distribution. In Stage 2, we reconstruct weekly audience vote shares by solving a constrained inverse problem: among all vote allocations consistent with the show’ s elimination mechanism (including … Read more →

Abstract.The Stewart platform is a typical six-degree-of-freedom parallel mechanism characterized by high load-carrying capacity, high structural stiffness, a short error propagation chain, and fast dynamic response. It has been widely used in motion simulation, ship motion compensation, space payload pointing, precision machining, and multidimensional vibration control. Because the moving platform is cooperatively driven by six kinematic chains, its control system exhibits pronounced nonlinearity, strong coupling, and multivariable characteristics, and is affected by factors such as mechanical … Read more →

Abstract.The accuracy of precipitation observations from hydrological stations is critical for multi-source fusion-based nowcasting products, particularly in the complex terrain of the Qinghai-Tibet Plateau. However, precipitation data from hydrological stations, which are managed by external departments, often suffer from inconsistent observation standards and variable data quality, limiting their direct applicability in operational meteorological services. This study proposes a collaborative quality control (QC) framework specifically designed for hourly precipitation data from hydrological stations … Read more →

Abstract.Monocular 3D Human Pose Estimation Technology has been widely applied in the field of intelligent rehabilitation devices. However, existing Transformer-based methods typically adopt a uniform parameter structure, making it difficult to effectively capture the significant pose feature differences among various action categories. This leads to suboptimal performance when handling complex or unseen actions. In recent years, the Mixture-of-Experts (MoE) architecture has achieved breakthrough progress in large-scale models, offering new insights for human pose estimation. Inspired by DeepSeekMoE, … Read more →