Location-based services (LBS) which bring so much convenience to our daily life have been intensively studied over the years. Generally, an LBS query processing can be categorized into snapshot and continuous queries access user location information return search results users. An has full control of information, causing privacy concerns. If provider a malicious intention breach by tracking users' routes their destinations, it incurs serious threat. Most existing techniques addressed...

This study aims to use the analysis, design, development, implementation, and evaluation (ADDIE) model develop an intelligent virtual reality (VR) interactive system for learning pour-over coffee brewing. The operation of brewing is complex. An a concrete actuator that realizes artificial intelligence (AI) decisions. When learners face challenge complex skills, can actively analyze their behaviors provide corresponding feedback correct them. Furthermore, head-mounted-display VR structure...

Owing to the wide availability of global positioning system (GPS) and digital mapping roads, road network navigation services have become a basic application on many mobile devices. Path planning, fundamental function services, finds route between specified start location destination. The efficiency this path planning is critical for users roads due various dynamic scenarios, such as sudden change in driving direction, unexpected traffic conditions, lost or unstable GPS signals, so on. In...

The blockchain technology has obtained significant success in the past decades. However, a serious underlying problem still exists system - data bloating. In system, each (full) node must store full set history, incurring storage pressure initial synchronization process and following maintenance of system. Data bloating is challenging to be confronted immediate future blockchain. To address this problem, paper, we introduce BC-Store framework that deploys accessing model on an IPFS-cluster...

Map matching is the process of a series recorded geographic coordinates (e.g., GPS trajectory) to road network. Due positioning errors and sampling constraints, data collected by devices are not precise, location user cannot always be correctly shown on map. Unfortunately, most current map-matching algorithms only consider distance between points segments, topology network, speed constraint segment determine results. In this paper, we propose spatio-temporal based algorithm (STD-matching)...

In this paper, we present a continuous deep learning model for fall detection using Microsoft Kinect. The input include pre-processed high-resolution RGB images, depth images collected by Kinect and optical flow images. We combine several structures including convolutional neural networks long short-term memory human fallen detection. Finally, experimental results to demonstrate the performance utility of our approach.

High-fidelity quantum gate operations are essential for achieving scalable circuits. In spin qubit computing systems, metallic gates and antennas that necessary operation, initialization, readout, also cause detrimental effects by enhancing fluctuations of electromagnetic fields. Therefore, evanescent wave Johnson noise (EWJN) caused near-field thermal vacuum becomes an important unmitigated noise, which induces the decoherence qubits limits operation fidelity. Here, we first develop a...

The taxi fleet management system based on GPS has become an important tool for efficient business. It can be used not only the sake of management, but also to provide useful information drivers earn more profit by mining historical trajectories. In this paper, we propose a recommender next cruising location which could value added module system. literature, three factors have been considered in different works similar objective, are distance between current and recommended location, waiting...

Location-based services (LBS) which bring so much convenience to our daily life have been intensively studied over the years. Generally, an LBS query processing can be categorized into snapshot and continuous queries search on user location information reply results users. An has full control information, causing a privacy concern. If malicious intention infer by tracking user's routes their destinations, it incurs serious problem. In this paper, we propose comprehensive trajectory technique...

Efficient processing of skyline queries with partially ordered domains has been intensively addressed in recent years. To further reduce the query time to support high-responsive applications, that were previously processed user preferences similar those new contribute useful candidate result points. Hence, answered can be cached both their results and such processor rapidly retrieve for a only from sets compatible preferences. When caching significant number accumulated over time, it is...

Traditional conversational chatbots usually adopt a retrieved-based model. Developers have to provide large amount of data and classify those different intents. To avoid cumbersome development processes, we propose method build chatbot by sentence generation model which generates sequence sentences based on the generative adversarial network. The architecture our contains generator that diverse sentence, discriminator judges between generated raw data. In generator, combine attention...

Existing methods have addressed the issue of handling each individual skyline query performed on data sets with partially ordered domains. However, it is still very challenging to process such queries for on-line applications low response time. In this paper, we introduce a cache-based framework, called CSS, further reducing processing time support high-responsive applications. Skyline that were previously processed user preferences similar those current contribute useful candidate result...

Skyline query processing has become an important feature in multi-dimensional, data-intensive applications. Such computations are especially challenging under dynamic conditions, when either snapshot queries need to be answered with short user response times or continuous skyline maintained efficiently over a set of objects that frequently updated. To achieve high performance, we have recently designed the ESC algorithm, Efficient update approach for Computations. creates pre-computed...

Existing methods have addressed the issue of detecting abnormal events at a smart home for medical care or security monitoring services extensively in past decades. However, most approaches use wearable sensors that require users to be equipped with sensor devices every moment. If monitored stop pause sensors, any are not able detected. The non-wearable and non-intrusive (e.g., IP cameras) is necessary providing better user experiences achieving sustainable reliable detection model. it still...