15 Result(s)
within
Chapter
Kien Nguyen
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Chapter and Conference Paper
A Data-Driven Scheduling Strategy for Mobile Air Quality Monitoring Devices
Along with the process of urbanization and mechanization, environmental pollution is becoming more and more serious all over the world. To this end, numerous efforts are directed toward evolving effective moni...
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Chapter and Conference Paper
A Deep Reinforcement Learning-Based Multi-objective Optimization for Crowdsensing-Based Air Quality Monitoring Systems
Global air pollution is becoming increasingly severe. In this context, monitoring air quality at all times and locations is necessary. Traditionally, air quality is monitored using stationary monitoring statio...
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Chapter and Conference Paper
Lung Sounds Classification Using Wavelet Reconstructed Sub-bands Signal and Machine Learning
The incidence of respiratory diseases is increasing rapidly due to environmental pollution affecting everyone around the world. Diagnosis from cardiopulmonary hearing has been made for hundreds of years. Howev...
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Chapter and Conference Paper
Efficient Prediction of Discharge and Water Levels Using Ensemble Learning and Singular-Spectrum Analysis-Based Denoising
This work addresses forecasting two essential factors in river hydrodynamics, which are discharge (Q) and water (H) levels. The accurate forecast of the two has long been a challenge in hydrological researches...
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Chapter and Conference Paper
Characterizing Latency Performance in Private Blockchain Network
There has recently been an increasing number of blockchain applications in different realms. Among the popular blockchain technologies, Ethereum is an emerging platform featuring smart contracts with the publi...
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Chapter and Conference Paper
Energy Efficiency in QoS Constrained 60 GHz Millimeter-Wave Ultra-Dense Networks
Millimeter-Wave (mmWave) communication in ultra-dense networks (UDNs) has been considered as a promising technology for future wireless communication systems. Exploiting the benefits of mmWave and UDNs, we int...
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Chapter and Conference Paper
Implementation of Spiking Neural Network with Wireless Communications
This paper proposes and implements the Spiking Neural Network (SNN) with radio-frequency wireless communications. The implemented network could obtain the XOR function through reinforcement learning. By apply...
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Chapter and Conference Paper
Central Limit Theorem for Billiards with Flat Points
In this paper, we constructed stationary martingale difference approximations to certain processes generated by billiards with flat points, using the filtration generated by the first return time function. Thi...
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Chapter and Conference Paper
Invariance Principles for Ergodic Systems with Slowly \(\alpha \) -Mixing Inducing Base
We investigate a class of ergodic systems, which admit an inducing base with a slowly \(\alpha \) -mixing generating partition. ...
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Chapter and Conference Paper
USD: A User-Centric Software Defined Platform for 5G Mobile Devices
This paper introduces USD, a novel User-centric Software Defined platform for 5G mobile devices, which supports a wide range of users with the diversity of technical experience. Respecting user preferences, US...
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Chapter and Conference Paper
Investigating the Performance of Link Aggregation on OpenFlow Switches
In this paper, we extensively explore the operation of Link Aggregation (LA) on OpenFlow switches in comparison to the LA in conventional switches. The comparison of two LA implementations has been conducted i...
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Chapter and Conference Paper
Experimental Study on the Performance of Linux Ethernet Bonding
Linux bonding is a feature allowing to group multiple physical network interfaces into a logical one on Linux machines. Known as a low-cost method to improve fault tolerance and network throughput, the Linux b...
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Chapter and Conference Paper
A Receiver-Initiated MAC Protocol for Energy Harvesting Sensor Networks
Energy harvesting technology potentially solves the problem of energy efficiency, which is the biggest challenge in wireless sensor networks. The capability of harvesting energy from surrounding environment en...
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Chapter and Conference Paper
Person Re-identification Using Deformable Part Models
Person Re-Identification is the problem of matching people across a network of non-overlap** cameras. One of the challenges is how to match body parts to body parts for comparison between images of two peopl...
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Chapter and Conference Paper
Structure and Context in Prostatic Gland Segmentation and Classification
A novel gland segmentation and classification scheme applied to an H&E histology image of the prostate tissue is proposed. For gland segmentation, we associate appropriate nuclei objects with each lumen object...
