Abstract.Comprehensive land consolidation has evolved from a narrow engineering-oriented practice of plot reorganization into a holistic territorial governance strategy that integrates farmland improvement, rural settlement restructuring, and ecological restoration. This shift reflects growing recognition that land systems are coupled social–ecological systems requiring interdisciplinary intervention. Innovation in this field increasingly depends on the formation and operation of research and practice teams that combine landscape ecology, hydrology, soil science, spatial planning, remote sensing, and … Read more →

Abstract.Based on an on-site investigation of the existing layout and production logistics of the G production workshop in T Company, this study identifies several problems, including disorganized material distribution and unreasonable process layout. To address these issues, the workshop layout is analyzed and optimized using the SLP (Systematic Layout Planning) method. The logistics and non-logistics relationships among different operating units are systematically analyzed, and a comprehensive relationship diagram and activity relationship diagram are developed accordingly. Finally, considering the … Read more →

Abstract.In order to study the calculation formula for the ultimate bearing capacity of short columns of Ultra high performance concrete (UHPC) with axially compressed steel tubes, based on 100 sets of experimental results of UHPC short columns with axially compressed steel tubes in existing literature, the calculation formula for the ultimate bearing capacity of short columns was fitted and verified. The results indicate that the ultimate bearing capacity of steel tube UHPC short columns shows an overall upward trend with the increase of the hoop coefficient; The determination coefficient of the … Read more →

Abstract.With the proliferation of voice interaction in intelligent cabins, voiceprint payment is becoming an important payment method in vehicular scenarios. However, deep learning-driven voice cloning technology has significantly lowered the barrier for generating forged speech, posing a serious threat to voiceprint authentication. The enclosed cabin environment, multi-microphone array layout, and real-time requirements make traditional anti-spoofing solutions difficult to migrate directly. This paper systematically analyzes the technological evolution of voice cloning attacks and the in-cabin threat … Read more →

Abstract.Expressways are evolving from single toll corridors toward a value ecosystem integrating traffic services, industrial development and network synergy, and digital-intelligent transformation provides the opportunity for this transition, though the implementation pathways remain unclear. On the basis of a systematic review of the evolution of road value and the status of digital-intelligent development in the industry, this paper identifies four dilemmas: insufficient value perception, crude traffic diversion, homogeneous derived businesses, and inadequate road-network synergy; and then proposes … Read more →

Abstract.To resolve the complex multi-objective conflict among high sealing airtightness, door closing energy, and ear pressure comfort in commercial vehicle cabs, this paper proposes a physics-informed evolutionary artificial intelligence (AI) framework for forward collaborative optimization. Firstly, a variable-parameter flow-field and energy coupling platform with continuous, independent adjustability (cabin volume, pressure relief area, sealing reaction force, and hinge inclination angles) was developed to realize the physical decoupling of multiple coupled fields. Based on an L27  orthogonal … Read more →

Abstract.The state of charge (SOC) of lithium-ion batteries is a critical state parameter in battery management systems (BMS), being closely associated with energy management, charge–discharge control and operational safety, yet it cannot be directly measured by conventional sensors. In recent years, deep learning methods have demonstrated considerable potential for SOC estimation owing to their strong capacity for nonlinear feature extraction. However, local dynamic characteristics and long-range temporal dependencies embedded in battery operating data are difficult to be modelled simultaneously by a … Read more →

Abstract.To address the urgent demand for fast response and reliable sealing in high-speed solenoid valves used for turbocharger wastegate control, and to resolve the issue of poor matching between the structural parameters of the moving iron core and its dynamic performance, an optimization study was conducted on the key parameter—the working length of the moving iron core. Taking a certain type of solenoid valve as the research object, a two-dimensional axisymmetric finite element model of the electromagnetic field was established. The working length of the moving iron core was set as the critical … Read more →

Abstract.To address challenges in actual logging interpretation—such as imbalanced lithology types, incomplete logging curves, and the difficulty of reliably evaluating cross-well generalization—this study performs intelligent lithology identification using the publicly available FORCE 2020 logging dataset. After preprocessing, the dataset comprises 98 wells, 1,170,511 depth samples, and 12 lithology types. Five conventional logging curves—natural gamma ray, bulk density, neutron porosity, acoustic transit time (DTC), and deep laterolog resistivity (RDEP)—are selected as input features. A 5-fold … Read more →