Apple leaf diseases seriously damage the yield and quality of apples. Current apple disease diagnosis methods primarily rely on human visual inspection, which often results in low efficiency insufficient accuracy. Many computer vision algorithms have been proposed to diagnose diseases, but most them are designed run high-performance GPUs. This potentially limits their application field, mobile devices expected be used perform vision-based spot. In this paper, we propose a lightweight...

We present a method for estimating the Motion-to-Photon (End-to-End) latency of head mounted displays (HMDs). The specific HMD evaluated in our study was Oculus Rift DK2, but procedure is general. on pendulum to introduce damped sinusoidal motion during swing. estimated by calculating phase shift between captured signals physical and motion-dependent gradient stimulus rendered display. used proposed estimate both rotational translational latencies DK2.

As an essential food crop, rice is often infested with diseases that can cause significant yield losses and seriously damage economic income health. Early identification control of effective way to alleviate these problems. However, manual diagnosis leaf requires experienced specialists time-consuming. In our study, we propose the ECA-ConvNeXt model, based on ConvNeXt network, which identify six categories typical healthy leaves. We also established a disease dataset contains images diseased...

Body-centric locomotion in Virtual Reality (VR) involves multiple factors, including the point of view, avatar representations, tracked body parts for control and transfer functions that map movement to displacement virtual viewpoint. Understanding role these factors evoking a plausible walking experience using within- or between-subject experimental designs based on questionnaires and/or objective measurements can be time-consuming challenging due interrelated effects factors. This study...

Patients with concussions, strokes and neuromuscular disease such as Parkinson's disease, often have difficulties in keeping balance suffer from abnormal gaits. Gait assessment conducted by a physician or therapist clinics is standard clinical practice for assessing injuries. However, this approach subjective, leading to potential problems of unrepeatability, poor sensitivity unreliability. To conduct the an objective way, computer-based gait system designed presented paper. The performs...

Scrap steel grading is a vital stage of production. Thickness an important indicator to determine the grade scrap steel. Existing methods based on 2D vision cannot accurately estimate thickness due lack 3D information. Consequently, estimation results from satisfy requirements industry. To solve this problem, we propose vision-based system. We introduce novel feature descriptor that can perform edge detection organized point clouds. It detect pairs points points. Once all features completed,...

Aiming at the problem of agricultural machinery fault diagnosis using artificial methods, such as long time, slow speed, low efficiency and accuracy, a forward reasoning based expert system for safety evaluation is proposed implemented. The has functions knowledge inquiry machinery, it good stability robustness.

Quantum private queries can commonly protect important information in a good many of domains, such as finance, business, military, which use quantum effects to achieve unprecedented classical queries. However, state be easily affected by environmental noise, affects the actual effect This paper developed new query protocol based on four qubits logical Bell resist collective-dephasing noise. The symmetric retrieval problem, is most influential problem process query, was solved well oblivious...

Recent research has proposed teleoperation of robotic and aerial vehicles using head motion tracked by a head-mounted display (HMD). First-person views the are usually captured onboard cameras presented to users through panels HMDs. This provides with direct, immersive intuitive interface for viewing control. However, typically overlooked factor in such designs is latency introduced vehicle dynamics. As coupled visual updates applications, control always exists between issue commands...

Head gesture is a natural means of face-to-face communication between people but the recognition head gestures in context virtual reality and use as an interface for interacting with avatars environments have been rarely investigated. In current study, we present approach real-time on head-mounted displays using Cascaded Hidden Markov Models. We conducted two experiments to evaluate our proposed approach. experiment 1, trained Models assessed offline classification performance collected...

Advances in Virtual Reality technology have enabled physical walking virtual environments. While most systems render stereoscopic images to users, the implication of binocular viewing with respect performance human environments remains largely unknown. In present study, we conducted two experiments using a linear treadmill and novel projected display known as Wide Immersive Stereo Environment (WISE) study role locomotion. The first experiment investigated people stepping over obstacles while...

In this article, we present an efficient coding scheme for LiDAR point cloud maps. As a map consists of numerous single scans spliced together, by recording the time stamp and quaternion matrix each scan during building, cast compression into sequence problem. The architecture includes two techniques: intra-coding inter-coding. For intra-frames, segmentation-based intra-prediction technique is developed. inter-frames, interpolation-based inter-frame network explored to remove temporal...

Classification is an important step in machine vision systems; it reveals the true identity of object using features extracted pre-processing steps. Practical usage requires operation to be fast, energy efficient and easy implement. In this paper, we present a design minimum distance classifier based on FPGA platform. It optimized by pipelined structure strike balance between device utilization computational speed. addition, dimension feature space modeled as generic parameter, making...

Body actions and head gestures are natural interfaces for interaction in virtual environments. Existing methods in-place body action recognition often require hardware more than a head-mounted display (HMD), making difficult to be introduced ordinary reality (VR) users as they usually only possess an HMD. In addition, there lacks unified solution recognize gestures. This potentially hinders the exploration of use novel experiences We present two-stream 1-D convolutional neural network (CNN)...

Potato is one of China's most promising high-production cash crops. However, the frequent occurrence potato diseases and insect pests directly leads to a considerable crop reduction or low yield, restricting agricultural economy's development. A variety dramatically impact potatoes' quality production pose significant threat human health. Therefore, it necessary use image processing methods detect leaves' growth state at early stages. This study mainly implements accurate identification...

Aiming at the problems of large input material cost in traditional agriculture, strong dependency agricultural personnel, and low efficiency production, this paper proposes implements a research on machinery operation system based Beidou navigation system. The integrates BeiDou satellite positioning technology, wireless communication technology geographical information to accurately position locomotives, real-time monitoring locomotive geographic trajectory through cloud platforms,...

Recently the robustness of coupled network under cascading failure has attracted a lot attention. In this paper, we investigate interconnected weighted networks based on state link. The load one link is defined by function strength two nodes at ends that link, using four intentional attack strategies, study invulnerability when occurs. Our studies show with highest attacked, damage to will be more serious attacking inner-link than caused coupling load, and no matter how links distribute,...