Unmanned swarms are widespread used in the IoT. The ability of unmanned to achieve adaptive collective behavior complicated mission scenarios is a prerequisite for meeting objectives. However, classical models often use velocity and position neighbors as inputs be constructed from phenomenological perspective. This complicates construction incompatible with biological perception. Therefore, this article proposes an observation-orientation-decision-action (OODA) framework based on visual...

Cloud robotics is a field of that attempts to use technologies for robotics. The the and automation brings some potential benefits largely ameliorating performance robotic systems. However, there are also challenges. First all, from viewpoint architecture, how model describe architectures systems? How deploy architecture in Cloud? Our proposed approach this paper based on principles software architectures. In particular, we leverage our lightweight architectural solution solve problem...

Context Duhuo Jisheng pill (DHJS) is a classic traditional Chinese medicine (TCM) formula for rheumatoid arthritis (RA). The effective components and therapeutic mechanisms of DHJS treating RA are still unclear.

Component-based development promotes a software process that focuses on component reuse. How to describe desired before searching in the repository? find an existing fulfills required functionalities? capture system personalization based its constitutive components' customization? To answer these questions, this paper claims components should be described using three different forms at stages: architecture specification, configuration and assembly. However, no description language proposes...

In the process of robotics applications development, Robot Operating System (ROS) has been a defacto-standard tool. However, ROS nodes always run at on-board computer. Limited resources CPU and storage restrict ability when performing task. A good solution is to transfer computing-intensive tasks Cloud. view this, we deploy packages in Cloud virtual machines encapsulate them as web services. Meanwhile, design middleware based on service technology. As core whole Robotics system, responsible...

Rice quality directly affects the final rice yield. In order to achieve rapid, non-destructive testing of seeds, this paper combines three-dimensional laser scanning technology and back propagation (BP) neural network algorithm build a seeds identification platform. The information on seed surface is collected from four angles processed using Geomagic Studio software. Based noise filtering, smoothing point cloud, vulnerability repair, downsampling, (3D) morphological characteristics surface,...

Cloud robotic system is a mono- or multi- robot that profits one more services of Computing. In few short years, robotics as newly emerged field has already received much research and industrial attention. The use the for automation brings some potential benefits largely ameliorating performance systems. However, there are also challenges. First all, from viewpoint architecture, how to model describe architectures systems? How deploy these in Clouds? Merely language could explicitly...

Future robot applications will require cloud computing. Using an architecture of robotics would increase performance over hardware constraints (e.g., processors, memory, and power). In this paper, we propose a control middleware for robotics, which not only can receive the robots' requests allocate resources based on robots demand, but also ensure connection between more stability. And then, use autonomous, humanoid to test first stage middleware. Effectiveness is demonstrated by experiments.

Large, complex and long-lived software need to be upgraded at runtime. Addition, removal replacement of a component are the elementary evolution operations that have supported. Yet, dynamic changes errorprone as it is difficult guarantee new system will still work all functionalities quality preserved. Few existing on ADLs fully support addition, substitution processes from their description test validation. The main idea this architecture dynamically driven by connectors (the glue between...

As the tourism industry navigates post-pandemic recovery, understanding customer perceptions of uniqueness in experiences is critical. It enables businesses to tailor offerings that stand out and attract travelers seeking novel distinct after a period limited travel opportunities. The current study bridges this knowledge gap by employing Bidirectional Encoder Representations from Transformers (BERT) model analyze online reviews Airbnb Experiences. BERT, tool for contextual sentiment...

As mobile robots have been more and widely applied, their tasks become complicated. Architectures of encapsulate model the algorithms hardware into components. How to organize configure these components make them work together appropriately becomes one most important research subjects. Domain specific driven architecture is a development approach by modeling systems models, then generating source codes from models. In this paper, we propose domain framework for Autonomous Mobile Robots(AMR)....

In the fields of continuous casting and roll stepped cooling, heat transfer coefficient is piecewise linear. However, few papers discuss solution backward conduction problem in this situation. Therefore, aim paper to solve problem, which has linear coefficient. Firstly, ill-posed discussed truncated regularized optimization scheme introduced problem. Secondly, because regularization parameter key factor for method, presents an improved method choosing reduce iterative number proves...

This paper addresses the challenge of estimating heat transfer coefficients (HTCs) through measured surface temperatures under large interference in secondary cooling zone (SCZ) continuous casting processes. Conventional methods for calculating HTCs, typically reliant on temperature data, face significant challenges achieving accuracy. These primarily stem from limitations inherent traditional methodologies and distortions caused by outliers, which are a consequence interference. To address...

Semantic navigation enables robots to understand their environments beyond basic geometry, allowing them reason about objects, functions, and interrelationships. In semantic robotic navigation, creating accurate semantically enriched maps is fundamental. Planning based on not only enhances the robot's planning efficiency computational speed but also makes more meaningful, supporting a broader range of tasks. this paper, we introduce two core modules IntelliMove: IntelliMap, generic...