The proliferation of Internet Things (IoT) and the success rich cloud services have pushed horizon a new computing paradigm, edge computing, which calls for processing data at network. Edge has potential to address concerns response time requirement, battery life constraint, bandwidth cost saving, as well safety privacy. In this paper, we introduce definition followed by several case studies, ranging from offloading smart home city, collaborative materialize concept computing. Finally,...

In the last five years, edge computing has attracted tremendous attention from industry and academia due to its promise reduce latency, save bandwidth, improve availability, protect data privacy keep secure. At same time, we have witnessed proliferation of AI algorithms models which accelerate successful deployment intelligence mainly in cloud services. These two trends, combined together, created a new horizon: Edge Intelligence (EI). The development EI requires much both computer systems...

The proliferation of Internet Everything (IoE) and the success rich Cloud services have pushed horizon a new computing paradigm, Edge Computing, which calls for processing data at edge network. Smart home as typical IoE application is being widely adapted into people's lives. Computing has potential to empower smart home, but it needs more contribution from community before truly benefits our In this paper, we present vision EdgeOSH, operating system Everything. We further discuss functional...

The objective of this study was to examine the sensor response characteristics three commercial Internet Things (IoT) compatible metal oxide (MOx) sensors in preparation for development field-scale networks real-time monitoring volatile organic compounds (VOCs) indoor environments located proximity brownfield sites. Currently, there is limited examination such responses relevant mixtures target VOCs, as common petrochemicals benzene, toluene, ethylbenzene, and xylene (BTEX), well chlorinated...

The disturbance depth of traffic load has a direct impact on the stability room-and-pillar mining goaf. To quantitatively calculate relationship between and influencing factors, 49 groups horizontal combinations different parameters are designed in this study, based orthogonal experimental design method. Midas GTS is used to simulate obtain corresponding data. A multivariate linear regression analysis conducted, formula for calculating established. According depth, goaf roof, coal pillar,...

Voice assistant systems are becoming immersive in our daily lives nowadays. However, current voice rely on the cloud for command understanding and fulfillment, resulting unstable performance unnecessary frequent network transmission. In this paper, we introduce CHA, an edge-based caching framework systems, especially smart homes where resource-restricted edge devices can be deployed. Located between device cloud, CHA introduces a layered architecture with modular design each layer. By...

As our daily lives become busier and more complicated, owning a smart home is increasingly becoming necessity rather than luxury. Surveillance systems are heavily utilized by police departments to assist in solving crimes. People rely on surveillance provide them with real-time events taking place inside outside properties they own. The probability that homeowner can act sooner later when emergencies arise provides the sense of security. In an emergency, time essence equipped right tools...

In the last five years, edge computing has attracted tremendous attention from industry and academia due to its promise reduce latency, save bandwidth, improve availability, protect data privacy keep secure. At same time, we have witnessed proliferation of AI algorithms models which accelerate successful deployment intelligence mainly in cloud services. These two trends, combined together, created a new horizon: Edge Intelligence (EI). The development EI requires much both computer systems...

Mobile technology has the potential to improve health, wellbeing, and quality life for individuals groups. For example, medical-related applications have been developed assist doctors in caring patients self-managing chronic conditions, caregivers loved ones[1][2]. Though mobile technologies a wide range of audiences, development largely overlooked one fastest growing segments population -- older adults users. Rapidly aging populations increased lifespans are becoming more common, especially...

Panoptic perception represents a forefront advancement in autonomous driving technology, unifying multiple tasks into singular, cohesive framework to facilitate thorough understanding of the vehicle's surroundings. This survey reviews typical panoptic models for their unique inputs and architectures compares them performance, responsiveness, resource utilization. It also delves prevailing challenges faced explores potential trajectories future research. Our goal is furnish researchers with...

Panoptic driving perception is a promising technology for autonomous driving, which aims to provide comprehensive understanding of the surrounding environment by processing multiple tasks together. Given constrained resource on vehicles, it essential develop panoptic models with high precision and low consumption assist in real-time. To achieve this goal, urgent understand what model learns, get insights efficiently improve design. In work, we focus analyzing explainability models....

The spatial-temporal locality has been observed in various scenarios for conversational services with either voice or text requests. Given the current cloud-based processing mechanism, integrating such a service caching is promising way to improve responsiveness, reduce in-network transmission, and avoid computational redundancy. Goes beyond precise redundancy fuzzy redundancy, semantic adapts diversity command expression, considered as practical solution services. In this paper, we...

Multi-institutional collaboration is an emerging deployment of medical imaging processing with the goal to address scarce annotation problem. While most efforts in this domain focus on supervised machine learning models and model performance improvement, there lack discussion about distributed system performance, such as trade-off between efficiency, i.e., communication cost time. In work, we propose a based deep reinforcement for image segmentation. Preliminary experiments are conducted...

With the burgeoning of Edge computing, data from Internet Things (IoT) and Machine-to-Machine (M2M) systems are shared consumed at edge network. How to understand leverage other is a crucial challenge for information exchange communication among IoT/M2M. Semantic paved road knowledge-driven IoT/M2M systems. Context awareness becomes possible with help semantic information. In this paper, we proposed methods support service in sophisticated system reasonable overhead. Moreover, also discussed...

Cloud-based Natural Language Understanding (NLU) services are becoming more popular with the development of artificial intelligence. More applications integrated cloud-based NLU to enhance way people communicate machines. However, provided by different companies powered unrevealed AI technology, how choose best one is a problem for developers. Existing tools that can provide guidance developers and make recommendations based on their needs severely limited. This article comprehensively...

Abstract The stick-slip of faults is one the main causes earthquakes in tectonic earthquake. traditional interface element model cannot simulate phenomenon fault sliding although it can change stress field rock mass by because fault. Based on FLAC(Fast Lagrangian Analysis Continua), friction law redeveloped using Fish language, which embedded FLAC, and rate-state dependent introduced into element. effects loading rate properties were investigated compared with previous experimental results....