Lenovo (China)

Architecture views are widely used to support design reasoning and architecture review in software-intensive systems. In practice, however, architectural documentation is often driven by fixed checklists or convention, leading to either excessive artifacts with limited decision value or insufficient visibility into dominant architectural uncertainty. Although existing viewpoint taxonomies clarify available viewpoints and associated concerns, they provide limited guidance on how viewpoints should be selected and instantiated in specific project contexts. This paper presents AVDM (Architecture Viewpoint Decision Model), a decision-oriented model that treats viewpoint selection as an explicit architectural decision activity rather than a documentation task. AVDM uses architectural risk as an informational signal to prioritize viewpoints and evaluates their expected decision value based on project characteristics. Viewpoint instantiation outcomes are classified as mandatory, recommended, or optional, instead of prescribing fixed documentation sets. Multiple industrial case studies illustrate how AVDM improves decision transparency, focuses architecture reviews, and exposes cross-domain and nonfunctional uncertainty while structuring-rather than replacing-architectural judgment.

Mobile robot inspection is a representative application of the Internet of Robotic Things (IoRT), where robots serve as mobile IoT sensing terminals for equipment monitoring and data acquisition. While embodied intelligence has greatly advanced locomotion, navigation, and perception, the critical deployment phase remains underexplored. Conventional inspection deployment relies on on-site manual configuration and repeated debugging, making it labor-intensive, costly, and potentially unsafe. To address these issues, this paper presents the design and implementation of a virtual deployment system for mobile robot inspection. The system constructs a high-fidelity digital twin of the physical site, migrating the entire deployment process into a virtual environment. The paper details the system architecture and workflow and analyzes key challenges with corresponding solutions. The proposed system enables scalable and cost-efficient IoRT inspection in industrial environments.

As the telecommunications industry gears up for the development of 6G mobile networks, the transition from the current 5G infrastructure requires careful and strategic management. This article examines the evolution from 4G to 5G, drawing valuable analysis on lessons learned and proposes strategies for the forthcoming 5G to 6G migration. We analyse standardized solutions from previous generational shifts, identifying their applicability and limitations in the context of emerging 6G technologies. By emphasizing cost-effective and strategic approaches, we provide insights to interested partners for navigating the complexities of this transition while leveraging emerging advancements for the next era of mobile communications.

In this paper, we propose a reflection design solution for a single-user reconfigurable intelligent surface aided mmWave MIMO communication system with multiple streams, by formulating it as a spectral efficiency maximization problem. A heuristic low-complexity reflection design (LCRD) method is proposed in the form of a non-iterative algorithm. It is then compared to benchmark methods and is found to demonstrate an extremely low complexity rendering it highly efficient for practical applications with only a slight trade-off in accuracy as compared to more computationally intensive methods.

The long-distance capillary transport is fundamentally hindered by the trade-off between the capillary force and viscous resistance, which limits the wicking performance of conventional microstructure surfaces. Here, we demonstrate a shape-gradient microgroove design that effectively decouples this intrinsic trade-off by femtosecond laser-based scanning path regulation strategy. Balancing the advantages of high capillary force of the V-shape and low viscous resistance of the U-shape, long-distance wicking velocity of gradient designs efficiently improved over 40% than conventional V-shape designs. Leveraging the enhanced mechanism, segmental structures with maximized long-distance wicking velocity were further developed, reaching a 100% enhancement. The design and the decoupled method provide a paradigm and guidance for the wick structures design, with implications for thermal management, microfluidics, and beyond.

Accurate measurement of ice thickness is essential for safety in ice-related human activities; however, existing solutions are often cumbersome or expensive. We present IceSound, a novel system that leverages the ubiquity of smartphones to realize portable, cost-effective, and real-time ice thickness sensing. IceSound tackles multiple challenges including overlapping echoes due to the higher sound speed in ice (approximately 3250 m/s), weak bottom reflections due to attenuation in thick ice, and variations of temperature and device orientation during measurements. Extensive field experiments show that IceSound achieves a mean absolute error of 0.3 cm for ice thickness measurement when the ice thickness is in the critical range of 10-15 cm. When assessing whether the ice thickness is safe for human activities based on the well-recognized 15 cm threshold, the system exhibits a remarkably low error rate of 0.13%, demonstrating its effectiveness in enhancing safety for ice-related human activities.