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This paper proposes a novel model for predicting the outdoor to indoor radio signal coverage. This model is based on a joint ray launching algorithm that adapts different resolutions for outdoor and indoor simulations. The performance of the joint ray launching method is evaluated by a measurement at 3.5 GHz frequency. This model appears to be efficient for a scenario with mixed resolutions, in terms...
A joint indoor to outdoor ray launching algorithm is proposed in this paper. Different resolutions are considered for indoor and outdoor simulations. Instead of using conventional sampling technique to extract rays from a finer resolution, a novel method, named Ray Aggregation, is applied to minimise the loss of accuracy while benefiting from the computational cost of a coarse resolution. Furthermore,...
With increasing penetration of solar and wind energy to the total energy supply mix, the pressing need for accurate energy forecasting has become well-recognized. Here we report the development of a machine-learning based model blending approach for statistically combining multiple meteorological models for improving the accuracy of solar/wind power forecast. Importantly, we demonstrate that in addition...
Nowadays, more and more service consumers pay great attention to QoS (Quality of Service) when they find and select appropriate Web services. For most of the approaches to QoS-aware Web service recommendation, the list of Web services recommended to target users is generally obtained based on rating-oriented predictions, aiming at predicting the potential ratings that a target user may assign to the...
To meet the growing demand of wireless and power efficient neural recordings systems, we demonstrate an unsupervised dictionary learning algorithm in Compressed Sensing (CS) framework which can be implemented in VLSI systems. Without prior label information of neural spikes, we extend our previous work to unsupervised learning and construct a dictionary with discriminative structures for spike sorting...
In space-borne azimuth multi-channel SAR, the antenna phase center spacing should be measured precisely to obtain the reconstruction filters. In this paper, a data-based onboard estimation method of antenna phase center spacing in spaceborne multi-channel SAR system is proposed. Firstly, the principle of data-based onboard estimation is presented, then the estimation method in details is described...
Firstly, this paper established an optimization model on laying photovoltaic battery with the optimal horizontal obliquity aiming at maximum radiation intensity and the slope obliquity as the decision variable. Then, proposed an “Embedded Search Algorithm” to solve this model. The algorithm not only has high computation efficiency, but also can according to the requirements of the project to achieve...
Celebrated fingerprinting techniques localize users by statistically learning the signal to location relations. However, collecting a lot of labelled data to train an accurate localization model is expensive and labour-intensive. In this paper, an economic and easy-to-deploy indoor localization model suitable for ubiquitous smartphone platforms is established. The method processes embedded inertial...
Radio-wave propagation modelling plays a fundamental role in the wireless network planning and optimization. In this work, the performance of two propagation models which are based on different mechanisms are compared in an indoor office scenario in terms of speed and accuracy. Firstly, the office building is modelled and the properties of materials are tuned according to the measurement data so that...
Purpose: The positioning accuracy of cancer center is an important factor for radiotherapy effect. The purpose of this study is to investigate the accuracy of patient positioning with Optical Positioning System(OPS) developed by Nanjing University in China, and show its superiority on positioning accuracy, compared with conventional method. Materials and Methods:20 patients with nasopharyngeal carcinoma...
An integrated hierarchical PCE model is proposed to relieve the path selection policy constraint by the parent PCE in the hierarchical PCE (H-PCE) framework. The parent and child PCEs are unified by routing at a higher level in this new model, where each PCE maintains the summarized information of all the other domains apart from its interior link states in the Traffic Engineering Database (TED)....
Fully automated land-cover classification from commercial remote sensing satellite imagery has had limited success in part due to their limited spectral bands. New promise of unsupervised analysis has emerged with the recent launch of the eight-band high resolution satellite WorldView-2. In this paper, a fully unsupervised classification algorithm is proposed based on self-organizing maps and watershed...
Fully automated land-cover classification from commercial remote sensing satellite imagery has had limited success in part due to their limited spectral bands. New promise of unsupervised analysis has emerged with the recent launch of the eight-band high resolution satellite WorldView-2. In this paper, a fully unsupervised classification algorithm is proposed based on self-organizing maps and watershed...
In the context of heterogeneous networks, femtocells are very promising. In order to properly simulate their behavior and their impact on the macrocell layer, it is necessary to be able to simulate the radio coverage of femtocells. Hence ParFlow is a possible deterministic model that can be used for such simulation. In this paper two implementations of ParFlow are presented: time domain and frequency...
This paper provides an approach for improving the trust modelling of users when a social network of advisors is employed (for example when advisors are recommending the most trustworthy service providers). We present three important improvements to trust modelling, two directly relating to the size of the network (through either the use of a threshold or by setting a maximum network size) and a third...
This paper focuses on the Web-based English-Chinese Out-of-Vocabulary (OOV) term translation pattern, and emphasizes particularly on the selection strategy based on the multi-feature representation for translation evaluation. Three kinds of feature, local feature, global feature and Boolean feature, are extracted from translation candidates based on the fusion strategy of multi-features. By utilizing...
In this paper, a hybrid model to compute the indoor-to-outdoor path-loss for femtocells is proposed. In this approach, indoor propagation is computed with the FDTD (Finite-Difference Time-Domain) model, thus providing high accuracy inside the building where the femtocell is deployed. On the other hand, outdoor propagation is computed with an empirical approach. Performance of the model is evaluated...
An effective Collaborative Intrusion Detection Network (CIDN) allows distributed Intrusion Detection Systems (IDSes) to collaborate and share their knowledge and opinions about intrusions, to enhance the overall accuracy of intrusion assessment as well as the ability of detecting new classes of intrusions. Towards this goal, we propose a distributed Host-based IDS (HIDS) collaboration system, particularly...
Optical Remote Sensing offers an alternative to traditional hydrographic surveys for measuring water depth, with the advantage of low cost and large area. The multi-spectral image of SPOT-5 with the high resolution provides possibility for bathymetric mapping. In order to estimate the image's potential for the retrieval of water depth, we use single-band model and dual-band model separately to inverse...
Vegetation water content is an important parameter to evaluate vegetation vigor. Therefore, it is very important to timely understand the vegetation moisture status, especially in the fields of agriculture and forestry. The hyperspectral data can provide continuous spectral information and shows to be a promising tool for precisely describing vegetation water content. Commonly, vegetation water content...
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