Mobile edge computing (MEC) is a promising paradigm to provide cloud-computing capabilities in close proximity mobile devices fifth-generation (5G) networks. In this paper, we study energy-efficient computation offloading (EECO) mechanisms for MEC 5G heterogeneous We formulate an optimization problem minimize the energy consumption of system, where cost both task and file transmission are taken into consideration. Incorporating multi-access characteristics network, then design EECO scheme,...

Global navigation satellite systems (GNSS) has been applied to the sounding of precipitable water vapor (PWV) due its high accuracy and spatiotemporal resolutions. PWV obtained from GNSS (GNSS-PWV) can be used investigate extreme weather phenomena, such as formation mechanism prediction rainfalls. In study, a new, improved model for rainfall forecasting was developed based on data 9-year period 2010 2018 at 66 stations located in USA. The new included three factors—PWV value, increase,...

To address the challenge of balancing heat transfer enhancement and flow resistance in exchangers, this study introduces a novel bionic approach by integrating fish scale geometry with shark skin split seam structures. The novelty lies design two innovative rib configurations: N-SS (no seam) W-SS (with rib, which synergistically combine biological inspiration multi-longitudinal swirls (MLSs) to optimize thermo-hydraulic performance. Numerical simulations demonstrate that generates...

When multiple unmanned aerial vehicles (UAVs) form a cluster, their flight process is divided into two phases. The first phase the cruising stage, during which UAVs move from random positions toward target, gradually forming spherical topology. In initial phase, to address oscillation phenomenon in traditional sliding mode control, we propose new reaching law overcome typical residual oscillations present conventional laws, called Control Law for Residual Chattering Oscillation Elimination...

Typhoons can be serious natural disasters for the sustainability and development of society. The a typhoon usually involves pre-existing weather disturbance, warm tropical oceans, large amount moisture. This implies that variation in atmospheric water vapor over path used to study characteristics typhoon. is reason precipitable (PWV) often capture signature meteorology. investigates usability real-time PWV retrieved from global navigation satellite systems (GNSS) typhoons’ characterizations,...

Water vapor is one of the most important parameters in climatic studies. MODerate-resolution Imaging Spectroradiometer (MODIS) a key instrument and can provide spatially continuous precipitable water (PWV) products. This study was focused on performance evaluation MODIS near-infrared PWV product (MOD-NIR-PWV) over China. For comprehensive assessment MOD-NIR-PWV, retrieved from measurements at global navigation satellite systems (GNSS) stations (i.e., GNSS-PWV) ERA5 reanalysis dataset...

As autonomous and connected vehicles are becoming a reality, mobile-edge computing (MEC) off-loading provides promising paradigm to trade off between the long latency of clouding high cost upgrading on-board computers vehicles. However, due randomness task arrivals, always have tendency choose MEC server for offloading in selfish way, which is not satisfactory social good whole system even results failure possibility some tasks overflow servers. This paper elaborates modeling arrival process...

Tropical cyclones (TCs) are intense rotating storm systems, characterized by strong winds, heavy humidity and surges, usually cause an abnormal increase in regional water vapor during the period of their occurrence. Global navigation satellite system (GNSS) is well-established initially mainly for positioning, timing. However, due to global coverage 24/7 operability under all weather conditions, GNSS has been widely used meteorology such as retrieval precipitable (PWV). Since PWV time series...

Convolutional neural networks (CNNs) are currently one of the most popular image classification technologies. Their excellent ability enables prediction ash content in clean coal using flotation froth images. Herein, a scheme is proposed to predict concentrate images and CNN architecture. According concentrate, data set divided into seven interval categories, augmentation used expand set. Then, several recently trained CNNs (ResNet, EfficientNet, EfficientNetV2, ConvNeXt) classify with...

We investigated the association between polymorphisms GSTP1 rs1695 and XRCC1 rs1799782 rs25487 clinical outcome of patients with non-small cell lung cancer (NSCLC) receiving cisplatin-based chemotherapy. Genotyping rs1799782, was conducted by polymerase chain reaction-restriction fragment length polymorphism analysis. By conditional logistic regression analysis, carrying GG genotype AA were found to be more highly associated response chemotherapy than those genotype; ORs (95%CIs) 0.13...

Abstract. The quality of the zenith hydrostatic delay (ZHD) could significantly affect accuracy wet (ZWD) Global Navigation Satellite System (GNSS) signal, and from ZWD precipitable water vapor (PWV) can be obtained. ZHD is usually obtained a standard model – function surface pressure at GNSS station. When PWV retrieved stations that are not equipped with dedicated meteorological sensors for measurements, blind models, e.g., global temperature (GPT) commonly used to determine pressures these...

As WSNs gain popularity, they are becoming more and necessary for traffic anomaly detection. Because worms, attacks, intrusions, other kinds of malicious behaviors can be recognized by analysis detection, WSN detection provides useful tools timely reaction appropriate prevention in network security. In the paper, we improve exploitation GM(1,1) model to make prediction judge WSNs. Based on our systematical researches characteristics traffic, causes abnormal latest related research...

Abstract The sampling error caused by the uneven distribution of radio occultation (RO) profiles in both space and time domains is an important source RO climatologies. In this paper, temperature climatologies investigated using 4-yr (2007–10) data from Constellation Observing System for Meteorology, Ionosphere, Climate mission. divided into three parts, including local component (LTC), temporal (TC), spatial (SC). characteristics components are investigated. Results show following: 1) LTC...

Abstract For better modeling the variations in vertical distribution of water vapor, this study, a new function for variation vapor was derived, named lapse RPWV . From analyses lapseRPWV time-series, it found that its is strongly correlated with relative magnitude total precipitable ( TPWV ). This study proposed method used six data ranges to determine periodic classified time-series each ranges, spatio–temporal model developed range. The models were validated by comparing their predictions...

Vehicular ad hoc networks (VANETs) are viewed as an effective way to disseminate content among vehicles on the road. While most of current research efforts in VANETs focus improving packet delivery performance, only limited work aims provide cost-efficient solutions for downloading. This paper proposes a novel approach download common way. The basic idea is stimulate cooperatively mutually disjoint coalitions. To study cooperation vehicles, coalitional game model proposed. Moreover,...