Football life

This business plan is about creating an organization and a platform called Football Life for adult amateur football lovers. From the society perspective, the organization aims to cultivate amateur community football culture, to make adult amateur football lovers through joining Football Life to perceive the joy of football in Football Life maximally.From individual view, to let people get into football activities in reality by kinds of football culture activities and to satisfy or to create the need of improving their football skills and match performance by consistent one training one match in one week model which is created and afforded by Football Life. In the same time to satisfy their other relevant needs and social needs. The ultimate purposes and benefits are to lead amateur football lovers to enjoy and to find self-belonging in Football Life. Through Football Life to make a better community and society.Este plano de negócio trata da criação de uma organização e uma plataforma chamada Football Life e é destinada a jogadores adultos, amadores de futebol. Do ponto de vista da sociedade, a organização procura cultivar a cultura de futebol Amador na comunidade, levando os jogadores amadores de futebol a se juntarem à Football Life para beneficiar do prazer que o jogo proporciona e melhorar até atingirem o seu máximo desempenho desportivo. Do ponto de vista individual, a organização procura dar às pessoas a possibilidade de se envolverem na cultura do futebol através da prática desportiva. E satisfazer ou criar necessidades dos jogadores amadores de futebol que desejam melhorar os seus skills de futebol e atingir níveis de desempenho bons nos jogos. O propósito e benefício daqui decorrentes são os de proporcionar aos jogadores amadores de futebol a experiência e sentimento equivalente aos de um jogador profissional, terem prazer e melhorarem

Estimating Target Heights Based on the Earth Curvature Model and Micromultipath Effect in Skywave OTH Radar

Skywave over-the-horizon (OTH) radar systems have important long-range strategic warning values. They exploit skywave propagation reflection of high frequency signals from the ionosphere, which provides the ultra-long-range surveillance capabilities to detect and track maneuvering targets. Current OTH radar systems are capable of localizing targets in range and azimuth but are unable to achieve reliable instantaneous altitude estimation. Most existing height measurement methods of skywave OTH radar systems have taken advantage of the micromultipath effect and been considered in the flat earth model. However, the flat earth model is not proper since large error is inevitable, when the detection range is over one thousand kilometers. In order to avoid the error caused by the flat earth model, in this paper, an earth curvature model is introduced into OTH radar altimetry methods. The simulation results show that application of the earth curvature model can effectively reduce the estimation error

CAPIA: Cloud Assisted Privacy-Preserving Image Annotation

Using public cloud for image storage has become a prevalent trend with the rapidly increasing number of pictures generated by various devices. For example, today\u27s most smartphones and tablets synchronize photo albums with cloud storage platforms. However, as many images contain sensitive information, such as personal identities and financial data, it is concerning to upload images to cloud storage. To eliminate such privacy concerns in cloud storage while keeping decent data management and search features, a spectrum of keywords-based searchable encryption (SE) schemes have been proposed in the past decade. Unfortunately, there is a fundamental gap remains open for their support of images, i.e., appropriate keywords need to be extracted for images before applying SE schemes to them. On one hand, it is obviously impractical for smartphone users to manually annotate their images. On the other hand, although cloud storage services now offer image annotation services, they rely on access to users\u27 unencrypted images. To fulfill this gap and open the first path from SE schemes to images, this paper proposes a cloud assisted privacy-preserving automatic image annotation scheme, namely CAPIA. CAPIA enables cloud storage users to automatically assign keywords to their images by leveraging the power of cloud computing. Meanwhile, CAPIA prevents the cloud from learning the content of images and their keywords. Thorough analysis is carried out to demonstrate the security of CAPIA. A prototype implementation over the well-known IAPR TC-12 dataset further validates the efficiency and accuracy of CAPIA

Global satellite-based measurement of river and reservoir dynamics

Knowledge of the dynamics of rivers and reservoirs is important to help manage the impacts of climate change and anthropogenic activities on water resources, which are intimately tied to human well-being, economic wealth and environmental health. However, ground-based measurements only capture a small fraction of water bodies, and in situ observed data are generally not publicly shared in most countries for a variety of reasons. Satellite remote sensing technology provides promising new opportunities to measure global water availability at different time and space scales. The objective of this study was to develop a global monitoring capacity to measure rivers, lake, and reservoir dynamics using satellite observation. In pursuit of this objective, I propose approaches to measure river discharge, river morphology, and lake (reservoir) storage based on remote sensing data. Satellite gauging reaches (SGRs) that can predict river discharge based on optical remote sensing are shown to be applicable to many rivers globally, especially in South America, Africa, and Asia. The river discharge prediction capability of SGRs in a certain river reach can be explained by its unique river morphology characteristics. Hydromorphological attributes, including spatial and temporal river width, flow regime and river gradient were produced for 1.4 million Australian river reaches, and can be used to improve river routing in models to better estimate river discharge. Finally, storage dynamics for 6,743 reservoirs worldwide for the period 1984-2015 were reconstructed based on satellite observations. The results indicate that some storages, particularly in southeastern Australia, central Chile, the USA, and eastern Brazil, have declined, accompanied by reduced reservoir resilience and increased vulnerability. Others have increased, mainly in the Nile Basin, Mediterranean basins and southern Africa. Multi-decadal changes in rainfall and hence streamflow were found to be the main reason for these changes. The techniques and data produced in this study provide components for a global monitoring capacity. The approaches developed can be used to process near real-time observations continuously. In future, the storage estimation method developed may be extended to lakes and wetlands. This study emphasizes the importance of increasing, or at least maintaining, the number of global gauging sites, which not only provide the historical context and current status of water resources under climate change, but also provide an indispensable basis to train remote sensing data in order to create a global water availability picture. Collaboration among different counties is urgently needed to share in situ river, lake, and reservoir data to tackle current and future water crisis, a challenge people worldwide face together. Considering the essential role of water resources for human well-being, new satellite missions are required that are specially designed for simultaneously measuring water extent and elevation in rivers, lakes, reservoirs, and wetlands at high spatial (e.g. 10 meters) and temporal (e.g. daily) resolution over the next decades