Vehicular ad hoc network is a collection of vehicles and associated road-side infrastructure, which able to provide mobile wireless communication services. This highly dynamic topology structure still open many routing message forwarding challenges. paper addresses the issue delivery from vehicle fixed destination, by hopping over neighboring vehicles. We propose reinforcement-learning-based hierarchical protocol called QGrid improve deliver ratio with minimum possible delay hops. The works...

This paper explores the limits of acoustic ranging on smart phone in scenario device-free hand tracking. Tracking is challenging since it requires continuously locating moving air with fine resolution. Existing work tracking relies special hardware or users hold mobile device. presents EchoTrack, which locates by leveraging audio advances without infrastructure supported. EchoTrack measures distance from to speaker array embedded via chirp's Time Flight (TOF). The and yield a unique...

With the rapid development of mobile devices and fast increase sensitive data, secure convenient authentication technologies are desired. Except for traditional passwords, many have biometric-based methods (e.g., fingerprint, voiceprint, face recognition), but they vulnerable to spoofing attacks. To solve this problem, we study new biometric features which based on dental occlusion find that bone-conducted sound collected in binaural canals contains unique individual bones teeth. Motivated...

Inputting a pattern or PIN code on the touch screen is popular method to prevent unauthorized access mobile devices. However, these sensitive tokens are highly susceptible being inferred by various types of side-channel attacks, which can compromise security private data stored in device. This paper presents second-factor authentication method, TouchPrint, relies user's hand posture shape traits (dependent individual different type and unique geometry biometrics) when user inputs pattern. It...

Arterial blood pressure (ABP) monitoring using wearables has emerged as a promising approach to empower users with self-monitoring for effective diagnosis and control of hypertension. However, existing schemes mainly monitor ABP at discrete time intervals, involve some form user effort, have insufficient accuracy, require collecting sufficient training data model development. To tackle these problems, we propose Crisp-BP, novel system leveraging the PPG sensor available in commercial...

The rapid advancement of mobile edge computing (MEC) networks has enabled the augmentation computational power devices (MDs) by offloading computationally intensive tasks to resource-rich nodes. This paper discusses decision-making process for task and resource allocation among multiple connected a base station. primary objective is minimize time taken complete while simultaneously reducing energy consumption on device under time-varying wireless fading channel. formulated as an...

Human-machine interface based on tongue-jaw movements has recently become one of the major technological trends. However, existing schemes have several limitations, such as requiring dedicated hardware and are usually uncomfortable to wear. This paper presents CanalScan, a nonintrusive system for movement recognition using only commodity speaker microphone mounted ubiquitous off-the-shelf devices (e.g., smartphones). The basic idea is send an acoustic signal, then captures its reflections...

Pedestrian dead reckoning enables pervasive indoor localization without a site survey on fingerprints or an intensive deployment of infrastructures. But accumulated errors in limit the spread location-based services. Existing landmark-based approaches mostly rely resetting user's position with landmark only when user is detected while arrival at landmark. However, such methods are still restricted by specific movement patterns and sparse distributions so that opportunity for calibration...

Aqueous solubility is one of the most important physicochemical properties in drug discovery. At present, prediction aqueous compounds still a challenging problem. Machine learning has shown great potential prediction. Most machine models largely rely on setting hyperparameters, and their performance can be improved by hyperparameters better way. In this paper, we used MACCS fingerprints to represent structural features optimized light gradient boosting (LightGBM) with cuckoo search...

Mobile Crowd Sensing (MCS) enables the platform to offer data-based service by incentivizing mobile users perform sensing task and collecting data from them. Most of existing works on MCS only consider designing incentive mechanisms for a single platform. In this paper, we study mechanism in with multiple platforms under two scenarios: competitive cooperative We correspondingly propose new each scenario. scenario, decide their prices rewards attract more participants, while choose which work...

Mobile crowdsensing (MCS) enables a platform to recruit users collectively perform sensing tasks from requesters. In order maximize the completion qualities of tasks, an incentive mechanism should be well designed for incentivize high-quality users' participation. The existing works largely adopt Stackelberg game model strategic interactions in mechanism. However, there are practical issues that less investigated context Stackelberg-based First, has no knowledge about beforehand due their...

In this article, we propose points-of-interest (POI)-tagging App-assisted incentive mechanism (PTASIM), an that explores the cooperation with POI-tagging App for mobile edge crowdsensing (MEC). PTASIM requests to tag some edges be POI, which further guides users perform tasks at location. We model interactions of users, platform, and by a three-stage decision process. first determines price maximize its payoff. Platform subsequently decide how determine reward select tagged, best task...

Hand hygiene has a significant impact on human health. Proper handwashing, having crucial effect reducing bacteria, serves as the cornerstone of hand hygiene. For elder with dementia, they suffer from gradual loss memory and difficulty in coordinating steps execution handwashing. assistance should be provided to them ensure their adherence. Toward this end, we propose AWash, leveraging only commodity IMU sensor mounted most wrist-worn devices (e.g., smartwatches) characterize motions provide...

In recent years, particular attention has been devoted to continuous electrocardiogram (ECG) waveform monitoring due its numerous applications. However, existing solutions require users be confined locations, rely on dedicated and expensive hardware, or active user participation. The constrained recording conditions prevent them from being deployed in many practical application scenarios. view of this, we present VibCardiogram, a reliable design for estimating ECG shape via ubiquitous...

A novel adsorbent of N-doped carbonized microspheres were developed from chitin (N-doped CM-chitin) for adsorption Congo red (CR). The CM-chitin showed spherical shape and consisted carbon nanofibers with 3D hierarchical architecture. There many micro/nano-pores existing in high surface area (455.703 m2 g-1). N element was uniformly distributed on the formed oxidize-N graphitic-N, pyrrolic-N, pyridinic-N. excellent capability CR maximum amount approximate 954.47 mg g-1. π-π/n-π interaction,...

In this paper, based on rotation phase-gradient principle, a single-layer, high-efficiency transmitting metasurface is designed and applied to high-gain antenna. the case of circularly polarized incident wave, PCR (polarization conversions ratio) element greater than 90% in band 9.11–10.48 GHz. The wave emerges an anomalous refraction when left-handed are perpendicularly 1D metasurface, which composed cycle arrangement 6 units with step value 30°. simulated angle 40.1°, coincided theoretical...

The swarm intelligence algorithm simulates the behavior of animal populations in nature and is a new type intelligent solution that different from traditional artificial intelligence. Feature selection very common data dimensionality reduction method, which requires us to select feature subset with best evaluation criteria original set. selection, as an effective processing has become hot research topic fields machine learning, pattern recognition, mining received extensive attention...