Non-orthogonal multiple access (NOMA) is a promising emerging technology that can significantly improve the utilization of spectrum and system capacity in heterogeneous wireless networks. Power allocation plays key role successful deployment NOMA. In most prior power schemes, perfect channel state information (CSI) assumed to be known which difficult obtain realistic environment. this paper, we propose scheme maximize energy efficiency for downlink NOMA networks based on imperfect CSI. The...

Audio applications such as mobile phones, hearing aids, true wireless stereo earphones, and Internet of Things devices demand small size, high performance, reduced cost. Microelectromechanical system (MEMS) capacitive microphones fulfill these requirements with improved reliability specifications related to sensitivity, signal-to-noise ratio (SNR), distortion, dynamic range when compared their electret condenser microphone counterparts. We present the design modeling a semiconstrained...

With the establishment of satellite constellations equipped with ship automatic identification system (AIS) receivers, amount AIS data is continuously increasing, and have become an important part ocean big data. To further improve ability to use for maritime surveillance, it necessary explore a classification anomaly detection method suitable spaceborne Therefore, this paper proposes based on machine learning that considers behavior characteristics In view different types ships, introduces...

Optical fiber communication coding and modulation techniques play a key role in high-speed high-capacity transmission but are still limited by problems such as signal attenuation, nonlinear effects increasing bit error rate. In order to optimize the performance of optical systems, this study draws on biomechanical conduction mechanism construct an scheme that integrates pulse time coding, adaptive redundancy coding. The experimental results show method significantly reduces Bit Error Rate...

In cellular networks, device-to-device communications can increase the spectrum efficiency, but some conventional schemes only consider uplink or downlink resource allocation. this paper, we propose joint and allocation scheme which maximizes system capacity guarantees signal-to-noise-and-interference ratio of both users pairs. The optimization problem is formulated as a mixed integer nonlinear that usually NP hard. To achieve reasonable allocation, divided into two sub-problems including...

Video fall detection is one of the most significant challenges in computer vision domain, and it usually involves recognition events that do not conform to expected falls. Recently, a majority unsupervised models are popular address issues call for substantial manual labeled training data supervised learning. However, almost all existing methods minimize reconstruction errors, which may lead insufficient errors between nonfall video frames because powerful representation ability neural...

The evolution of information and communication technology, besides the proliferation mobile devices, pushes horizon Internet Things. main challenges for devices are limited battery power insufficient computational resources. Multiaccess edge computing (MEC) is an emerging paradigm that can provide task offloading services in proximity to alleviate their load. In addition, cannot work emergency scenarios (e.g., post-earthquake, post-flood, post-hurricane) or areas without infrastructure....

With the increasing demand for location-based services in indoor environments, research on localization technology has become an urgent need. In complex strong multipath effects can greatly interfere with propagation of wireless signals, which may seriously degrade accuracy. To solve problem, this paper proposes system DuLoc based fine-grained subcarriers and a dual-channel convolutional neural network (CNN). system, abnormal sampling points are removed by Isolation Forest method to deal...

The mathematical models and a numerical code for simulation of thermal anti-icing system are presented in this article. Mass conservation is applied to the runback water flow. An energy balance imposed on airfoil skin including heat transfer coefficient distributions obtained using boundary layer integral method. external flowfield local collection efficiency data predicted an Eulerian method, based computation fluid dynamic its user-defined functions. Given input electrical power density...

With the continuous development of earth observation technology, space-based synthetic aperture radar (SAR) has become an important source information for maritime surveillance, and ship classification in SAR images also a hot research direction field monitoring. In recent years, remote sensing community proposed several solutions to problem object images. However, it is difficult obtain adequate amount labeled samples training classifiers, which limits application machine learning,...

In recent years, V2G techniques have been successfully implemented to stabilize frequency deviations in the grid caused by intermittent renewable energy sources. However, battery capacity constraints and real-time dynamic driving demands of electric vehicles (EVs) systems hinder coordination between control power plant strategies. It leads asymmetry regulation up (RU) down (RD) (FR) system, which can affect performance FR. To cope with this problem, paper proposes a switched integral...

In recent years, the rapid development of microelectronics, wireless communications, and electro-mechanical systems has occurred. The sensor network (WSN) been widely used in many applications. localization a mobile node is one key technologies for WSN. Among factors that would affect accuracy localization, non-line sight (NLOS) propagation caused by complicated environment plays vital role. this paper, we present hierarchical voting based mixed filter (HVMF) method line (LOS) NLOS...

The widespread application of wireless mobile services and requirements ubiquitous access have resulted in drastic growth the traffic huge energy consumption ultradense networks (UDNs). Therefore, energy-efficient design is very important becoming an inevitable trend. To improve efficiency (EE) UDNs, we present a joint optimization method considering user association small-cell base station (SBS) on/off strategies UDNs. problem formulated as nonconvex nonlinear programming then decomposed...

The low computational capacity of mobile devices has become the main performance bottleneck for emerging computing-intensive and delay-sensitive applications. In this paper, we propose a peer-to-peer (P2P) enhanced task scheduling framework to minimize average duration in device-to-device (D2D) enabled edge computing (MEC) network by jointly optimizing decision resource allocation. Our proposed can work different modes application scenarios. MEC mode, an iterative algorithm is presented...

This paper focuses on a mobile edge-computing-enabled heterogeneous network. A battery level-aware task-scheduling framework is proposed to improve the energy efficiency and prolong operating hours of battery-powered devices. The formulated optimization problem typical mixed-integer nonlinear programming problem. To solve this nondeterministic polynomial (NP)-hard problem, decomposition-based algorithm proposed. Using an alternating technology, original divided into three subproblems. In...

This paper proposes a hybrid approach called XTS that uses combination of techniques to analyze highly imbalanced data with minimum features. combines cost-sensitive XGBoost, game theory-based model explainer TreeSHAP, and newly developed algorithm known as Sequential Forward Evaluation (SFE). The general aim is reduce the number features required learn particular dataset. It assumes low-dimensional representation can improve computational efficiency interpretability whilst retaining strong...

Modern semiconductor manufacturing facilities process thousands of wafers a week and produce enormous volumes data that must be quickly efficiently mined for yield signals. AMD has embarked on project with Rudolph Technologies to create an automated pattern recognition system use in test facilities. This paper will explain what advantages are gained by deploying spatial classification system, as well some the challenges making successful. We also give examples how SPR information is used...