Plant disease diagnosis is very critical for agriculture due to its importance increasing crop production. Recent advances in image processing offer us a new way solve this issue via visual plant analysis. However, there are few works area, not mention systematic researches. In paper, we systematically investigate the problem of recognition diagnosis. Compared with other types images, images generally exhibit randomly distributed lesions, diverse symptoms and complex backgrounds, thus hard...

Abstract Recently, virtual reality (VR) technology has been widely used in medical, military, manufacturing, entertainment, and other fields. These applications must simulate different complex material surfaces, various dynamic objects, physical phenomena, increasing the complexity of VR scenes. Current computing devices cannot efficiently render these scenes real time, delayed rendering makes content observed by user inconsistent with user’s interaction, causing discomfort. Foveated is a...

Food-image recognition plays a pivotal role in intelligent nutrition management, and lightweight methods based on deep learning are crucial for enabling mobile deployment. This capability empowers individuals to effectively manage their daily diet using devices such as smartphones. In this study, we propose an Efficient Hybrid Food Recognition Net (EHFR–Net), novel neural network that integrates Convolutional Neural Networks (CNN) Vision Transformer (ViT). We find the context of food-image...

In this paper, we present a reliable storage service, called SolarStore, that adaptively trades-off reliability versus energy consumption in solar-powered sensor networks. SolarStore adopts predominantly disconnected network model, where long-running data-collection experiments are conducted the absence of continuous connection to outside world. (i) replicates data until next upload opportunity, and (ii) adapts degree replication dynamically depending on solar availability. The goal is...

We report the fabrication of phase-segregated Pt-Ni chain-like nanohybrids composed monometallic counterparts attached to each other, which exhibit high catalytic activities towards methanol oxidation reaction (MOR).

With the popularity of using computer vision technology in monitoring system, there is an increasing societal concern on intruding people's privacy as captured images/videos may contain identity-related information e.g. face. Existing methods protecting such focus removing from faces. However, this would weaken utility current system. In paper, we develop a face anonymization framework that could obfuscate visual appearance while preserving identity discriminability. The composed two parts:...

The rapid advances in technologies have brought new interaction paradigms of smart objects (e.g., digital devices) beyond device screens. By utilizing spatial properties, configurations, and movements objects, designing interaction, which is one the emerging paradigms, efficiently promotes engagement with content physical facility. However, as an important phase design, prototyping such interactions still remains challenging, since there no ad-hoc approach for this paradigm. Designers...

With the increasing complexity of geometry and rendering effects in virtual reality (VR) scenes, existing foveated methods for VR head-mounted displays (HMDs) struggle to meet users' demands scene with high frame rates (≥ 60 f ps binocular images scenes containing over 50M triangles). Current research validates that auditory content affects perception human visual system (HVS). However, primarily model HVS's eccentricity-dependent ability on while ignoring impact perception. In this paper,...

In this paper, we present AdaptSens: a reliable data collection and storage system for solar-powered sensor networks. Unlike battery-operated devices, systems have less predictable energy supply their ability to harvest depends on past spending, thereby creating incentives adaptive matching of demand. Our is novel in its layered architecture incremental layer activation mechanism. AdaptSens provides set functions, separate layers, such as sensory collection, replication (to prevent...

Sulforaphene prepared from glucoraphenin by myrosinase is one of the main active ingredients radish, which has various biological activities and brilliant potential for food pharmaceutical applications. In this paper, a recombinant food-grade yeast transformant 20-8 with high-level activity was constructed over-expressing gene Arabidopsis thaliana in Yarrowia lipolytica. The highest produced reached 44.84 U/g dry cell weight when it cultivated 10 L fermentor within 108 h. Under optimal...

Virtual Reality (VR) applications allow a user to explore scene intuitively through tracked head-mounted display (HMD). However, in complex scenes, occlusions make exploration inefficient, as the has navigate around occluders gain line of sight potential regions interest. When region proves be no interest, retrace their path, and such sequential implies significant amounts wasted navigation. Furthermore, virtual world is typically much larger than physical space hosting VR application,...

Text entry is a frequently used task in virtual reality (VR) applications, and controller the most common interactive device current VR systems. However, terms of typing speed, there still gap between existing controller-based text techniques using physical keyboard reality, so it important to improve efficiency entry. In this paper, we introduce Flower Entry, single-controller method based on newly designed flower-shaped hand 3D translation interaction for letters selection. We conduct user...

Abstract Hierarchical multi-granularity image classification is a challenging task that aims to tag each given with multiple granularity labels simultaneously. Existing methods tend overlook different regions contribute differently label prediction at granularities, and also insufficiently consider relationships between the hierarchical labels. We introduce sequence-to-sequence mechanism overcome these two problems propose sequence generation (MGSG) approach for task. Specifically, we...

A three-party quantum key agreement protocol based on EPR pairs is proposed, in which the three participants have equal status and each participant capable of contributing to shared secret same degree. In addition, any one or two parties cannot predetermine value alone. The security analysis shows that our can resist outside attack dishonest attack.

ABSTRACT This paper advocates a method for real‐time physical deformation and arbitrary cutting simulation of heterogeneous objects with multi‐material distribution, whose originality centers on the tight coupling domain‐specific finite element (FEM) material distance‐aware meshless approach in CUDA‐centric parallel framework. We employ hierarchical hexahedron serving as basic building blocks accurate material‐aware FEM simulation. Meanwhile, local systems are designed to support...

We introduce the disocclusion headlight, a method for VR selection assistance based on alleviating occlusions at center of user's field view. The visualization VE is modified to reduce overlap between objects. This way, candidate objects have larger image footprints, which facilitates selection. modification confined frame, with continuity periphery frame rendered conventionally. provided automatically, without any interaction from user. Furthermore, our disoccludes destroying local spatial...

We propose a new scene-aware foveated rendering method, which incorporates the scene awareness and characteristics of human visual system into mapping-based framework. First, we generate conservative importance map that encodes features scene, acuity, gaze motion. Second, construct pixel size control using convolution kernel method. Third, utilize to guide rendering. At last, temporal coherent refinement strategy is used maintain smooth for adjacent frames. Compared state-of-the-art methods...

A common approach for Augmented Reality labeling is to display the label text on a flag planted into real world element at 3D anchor point. When there are more than just few labels, efficiency of interface decreases as user has search given sequentially. The can be accelerated by sorting labels alphabetically, but all results in long and intersecting leader lines from points labels. This paper proposes partially-sorted concentric layout that leverages while avoiding problems or lines....

In this paper, we propose an efficient and fault tolerant topology control algorithm named AWSF for large-scale wireless sensor networks, which introduces the scale-free characteristic of complex networks into to minimize transmission delay increase robustness. It is a distributed algorithm, letting each node locally adjust its power determine neighbor relationship based on certain arbitrary weights are random real numbers following negative power-law probability distribution. The...

Light propagation in scenes with translucent objects is hard to model efficiently for interactive applications. The inter-reflections between and their environments the subsurface scattering through materials intertwine produce visual effects like color bleeding, light glows soft shading. Monte-Carlo based approaches have demonstrated impressive results but are computationally expensive, faster either only or scattering. In this paper, we present a simple analytic that combines diffuse...