Mobile robots have an important role in material handling manufacturing and can be used for a variety of automated tasks. The accuracy the robot’s moving trajectory has become key issue affecting its work efficiency. This paper presents method optimizing mobile robot based on digital twin robot. is created by Unity, trained virtual environment applied to physical space. simulation training provides schemes actual movement Based data returned robot, preset dynamically adjusted, which turn...

In order to solve the problems of poor image quality, loss detail information and excessive brightness enhancement during in low light environment, we propose a low-light algorithm based on improved multi-scale Retinex Artificial Bee Colony (ABC) optimization this paper. First all, makes two copies original image, afterwards, irradiation component is obtained by used structure extraction from texture via relative total variation for first combines it with obtain reflection which are...

The analysis of robot inverse kinematic solutions is the basis control and path planning, great importance for research. Due to limitations analytical geometric methods, intelligent algorithms are more advantageous because they can obtain approximate directly from robot's positive equations, saving a large number computational steps. Particle Swarm Algorithm (PSO), as one algorithms, widely used due its simple principle excellent performance. In this paper, we propose an improved particle...

Autonomous Underwater Vehicle are widely used in industries, such as marine resource exploitation and fish farming, but they often subject to a large amount of interference which cause poor control stability, while performing their tasks. A decoupling algorithm is proposed single volume-single attitude angle model constructed for the problem severe coupling system six degrees freedom Vehicle. Aiming at complex Active Disturbance Rejection Control (ADRC) adjustment relying on manual...

Abstract Nanotechnology is revolutionizing cancer therapy, and catalyzes the emerging of ion‐involved cancer‐therapeutic modality, which unfortunately suffers from undesirable nanocarriers for efficient intracellular ion delivery. To radically extricate this critical issue, glutathione (GSH)‐responsive organosilica network employed to lock liquid drops at nanoscale via a general bottom‐up strategy achieve systemic delivery “ion drugs”. In work, sulfate radical generation donor (Na 2 S O 8 ),...

We aimed to investigate the associations between perceived social support and anxiety, depression, sleep disturbance via self-control among Chinese college students during COVID-19 pandemic.The Perceived Social Support Scale, Self-control Self-rating Anxiety Depression Insomnia Severity Index Scale were used survey 1,997 pandemic, who submitted valid questionnaires (Mage = 19.93, SDage 1.47, Range 18-24 years, 62% female).The significantly positively correlated, they negatively associated...

Simultaneous localization and mapping (SLAM) technology can be used to locate build maps in unknown environments, but the constructed often suffer from poor readability interactivity, primary secondary information map cannot accurately grasped. For intelligent robots interact meaningful ways with their environment, they must understand both geometric semantic properties of scene surrounding them. Our proposed method not only reduce absolute positional errors (APE) improve positioning...

sEMG(surface electromyography) signals have been widely used in rehabilitation medicine the past decades because of their non-invasive, convenient and informative features, especially human action recognition, which has developed rapidly. However, research on sparse EMG multi-view fusion made less progress compared to high-density signals, for problem how enrich feature information, a method that can effectively reduce information loss channel dimension is needed. In this paper, novel IMSE...

Summary As the development of deep learning and continuous improvement computing power, as well needs social production, target detection has become a research hotspot in recent years. However, algorithm problem that it is more sensitive to large targets does not consider feature‐feature interrelationship, which leads high false or missed rate small targets. An method (C‐SSD) based on improved SSD proposed, replaces backbone network VGG‐16 with dense convolution (C‐DenseNet) achieves further...

It is well documented that self-control has a positive effect on individuals' subjective well-being. However, little research focused the moderators underlying this relationship. The present used two studies to examine moderating role of both trait and state motivation relationship between well-being using psychometric experimental models, respectively. In Study 1, we explored whether (including promotion vs. prevention motivation) moderated model. 2, examined effects (measured via ego...

The seven-degree-of-freedom space manipulator, characterized by its redundant and aspheric wrist structure, is extensively used in missions due to exceptional dexterity multi-joint capabilities. However, the non-spherical structure presents challenges solving inverse kinematics, as it cannot decouple joints using Pieper criterion, unlike spherical structures. To address this issue, paper a closed-form analytical method for kinematics of manipulators. begins identifying joint through...

The inverse kinematics of robotic manipulators involves determining an appropriate joint configuration to achieve a specified end-effector position. This problem is challenging because the are highly nonlinear and complexly coupled. To address this challenge, bald eagle search optimization algorithm introduced. combines advantages evolutionary swarm techniques, making it more effective at solving problems improving efficiency. Due tendency fall into local optima, Lévy flight strategy...

Although the impact of COVID-19 pandemic on people's mental health has been well documented in many studies, schizotypal personality features general population have not received sufficient attention.Study 1 is a longitudinal study tracking changes among college students during pandemic. A total 153 Chinese were assessed using Schizotypal Personality Questionnaire. Study 2 explored relationship between features, mind wandering, and depression. 557 completed Questionnaire, Beck Depression...

In some high-cost industrial field, in order to make image processing technology up for deficiencies existing control methods and also have a high economy, this paper presents smart elevator door system based on technology. Select atmega32 as the main chip ov7620 acquisition chip. Design plans resolve defects of 8-bit microcontroller course processing. According feature pixels, we use Semi-Neighborhood Averaging Algorithm combined with Background Difference Method moving objects identifying....

The new generation of industrial productions is digitized, adaptable, flexible, and intelligent. Product inspection uses multisourced information intelligent algorithm to recognize anomalies. Cyber-physical systems (CPSs) are fundamental parts smart production inspection. In surface products, some defects, which sensitive the direction light viewer, difficult be recognized under fixed illumination observation. This article presents a novel approach solve problem general solution includes...

Traditionally, temperature control for massive concrete structures during the construction phase is based on experience instead of using advanced methods such as predictive method. In this paper, a method with hybrid data-based artificial neural network (ANN) model proposed. The main parameters numerical are identified data measured from site. Since limitation data, rich dataset generated by parameters. Finally, ANN predicting indicator developed. A case study in which real bridge anchorage...

Summary Instance segmentation is a challenging task that requires both instance‐level and pixel‐level prediction it has wide range of applications in autonomous driving, video analysis, scene understandingand so on. The currently dominant instance methods have excellent accuracy, but they are slow, the processing speed will be even less satisfactory if input large‐scale image. In order to improve efficiency accuracy images, this article modifies backbone network based on YOLACT network, adds...

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This paper presents a new device which can detect the lift car position by photoelectric sensor Si1120. Microcontroller ATmega16 is used as main controller of this device. The Si1120 output PWM wave when sense infrared light. According to strength light reflected from tailgate on each floor, receives different width. distance between and baffle so elevator floor position. work just fixed car, precision installation low with easy maintenance. experimental results indicate that system's...

The existing cable adjustment system has a long cycle on the of flat floor, running curves and involving part for car. On other hand, it usually requires close coordination between two adjustors. So this paper designs an elevator wireless system, Bluetooth technology, WIFI Android phone technology microcontroller technology. makes process intuitive, reduces workload adjustor speeds up cycle. Compared with traditional method, possible that using as tool to debug or Bluetooth. Besides compared...

The desired results cannot be achieved by applying generally accepted algorithm of voice activity detection (VAD). Against such background, a comprehensive featuring multiple parameters and dual-threshold state discrimination is proposed. This sets both high low threshold based on the fundamental characteristic as short-time average energy (STAE), zero-domain-crossing rate (ZDCR) time duration, with reference to design finite method. interval between these two thresholds helps detect...

Abstract Solving the robot inverse kinematic solution is key to subsequent path planning and trajectory tracking control of robot, which great research significance. The redundant robotic arm a challenge because parsing cannot be obtained by conventional method. swarm intelligent optimization algorithm widely used in problem arms converting into minimum value fitness function, avoiding tedious process traditional solution. This paper innovatively applies bald eagle (BES algorithm) motion...