In recent years, with the rapid development of unmanned aerial vehicles (UAVs) and lightweight hyperspectral imaging (HSI) sensors, mini-UAV-borne remote sensing (HRS) systems have been developed demonstrate great value application potential. Compared to spaceborne airborne HSI systems, come relatively low manufacturing running costs thus become a new research focus in field HRS.

Ciphertext-policy attribute-based encryption (CP-ABE) enables fine-grained access control to the encrypted data for commercial applications. There has been significant progress in CP-ABE over recent years because of two properties called traceability and large universe, greatly enriching applications CP-ABE. Traceability is ability ABE trace malicious users or traitors who intentionally leak partial modified decryption keys profits. Nevertheless, due nature CP-ABE, it difficult identify...

As a sophisticated mechanism for secure finegrained access control over encrypted data, ciphertext-policy attribute-based encryption (CP-ABE) is one of the highly promising candidates cloud computing applications. However, there exist two main long-lasting open problems CP-ABE that may limit its wide deployment in commercial One decryption yields expensive pairing cost which often grows with increase policy size. The other granted privilege unlimited times as long his attribute set satisfies...

Ciphertext-policy attribute-based encryption (CP-ABE) has been proposed to enable fine-grained access control on encrypted data for cloud storage service. In the context of CP-ABE, since decryption privilege is shared by multiple users who have same attributes, it difficult identify original key owner when given an exposed key. This leaves malicious a chance leak their credentials outsourced in clouds profits without risk being caught, which severely damages security. To address this...

Hyperspectral remote sensing can be used to effectively identify contaminated elements in soil. However, the field of monitoring soil heavy metal pollution, hyperspectral has characteristics high dimensionality and redundancy, which seriously affect accuracy stability inversion models. To resolve problem, a gradient boosting regression tree (GBRT) algorithm for (Arsenic (As)) content soils based on Spearman’s rank correlation analysis (SCA) coupled with competitive adaptive reweighted...

The integrated carbon capture and utilization (ICCU) technology has been considered a prospective strategy for mitigating emissions issues. Compared to conventional CO2 utilization, the ICCU process reduces transporting, product purification, construction, operation costs. However, few works focus on investigating effect of in-situ conversion sintering CaO at high temperatures. In this work, Cu/CaO dual functional materials (DFMs) were synthesized used in Calcium Looping-Reverse Water-Gas...

Cloud computing becomes a hot research topic in the recent years. In cloud computing, software applications and databases are moved to centralized large data centers, which is called cloud. cloud, due lack of physical possession machine, computation may not be well managed fully trusted by users. Existing work on security mainly focuses storage without taking into consideration. this paper, we propose SecCloud, novel auditing scheme secure based probabilistic sampling technique as designated...

To enhance the security of mobile cloud users, a few proposals have been presented recently. However we argue that most them are not suitable for where users might join or leave networks arbitrarily. In this paper, design secure user-based data service mechanism (SDSM) to provide confidentiality and fine-grained access control stored in cloud. This enables enjoy outsourced services at minimized management overhead. The core idea SDSM is outsources only but also trust way. Our analysis shows...

Secure cloud storage, which is an emerging service, designed to protect the confidentiality of outsourced data but also provide flexible access for users whose out physical control. Ciphertext-Policy Attribute-Based Encryption (CP-ABE) regarded as one most promising techniques that may be leveraged secure guarantee service. However, use CP-ABE yield inevitable security breach known misuse credential (i.e., decryption rights), due intrinsic "all-or-nothing" feature CP-ABE. In this paper, we...

The rapidly increasing world population and human activities accelerate the crisis of limited freshwater resources. Water quality must be monitored for sustainability Unmanned aerial vehicle (UAV)-borne hyperspectral data can capture fine features water bodies, which have been widely used monitoring quality. In this study, nine machine learning algorithms are systematically evaluated inversion parameters including chlorophyll-a (Chl-a) suspended solids (SS) with UAV-borne data. comparing...

Hyperspectral imagery has been widely used in precision agriculture due to its rich spectral characteristics. With the rapid development of remote sensing technology, airborne hyperspectral shows detailed spatial information and temporal flexibility, which open a new way accurate agricultural monitoring. To extract crop types from images, we propose fine classification method based on multi-feature fusion deep learning. In this research, morphological profiles, GLCM texture endmember...

Soil particle size fractions (PSFs) are important properties for understanding the physical and chemical processes in soil systems. Knowledge about distribution of PSFs is critical sustainable management. Although log-ratio transformations have been widely applied to prediction, statistical original data transformed given by different, resulting biased estimates PSFs. Therefore, multivariate random forest (MRF) was utilized simultaneous prediction PSFs, as it able capture dependencies...

Soil organic matter (SOM) refers to all carbon-containing in soil and is one of the most important indicators fertility. The hyperspectral inversion analysis SOM traditionally relies on laboratory chemical testing methods, which have disadvantages being inefficient time-consuming. In this study, 69 samples were collected from Honghu farmland area a mining northwest China. After pretreatment, 10 spectral obtained. Ridge regression, kernel ridge Bayesian AdaBoost algorithms then used construct...

Suspended solids concentration (SSC) is an important indicator of the degree water pollution. However, when using empirical or semi-empirical model adapted to some inland waters estimate SSC on unmanned aerial vehicle (UAV)-borne hyperspectral images, accuracy often not sufficient. Thus, in this study, we attempted use particle swarm optimization (PSO) algorithm find optimal parameters least-squares support vector machine (LSSVM) for quantitative inversion SSC. A reservoir and a polluted...

The formation of black-odor water in urban rivers has a long history. It not only seriously affects the image city, but also easily breeds germs and damages habitat. prevention treatment have been important topics nationwide. “Action Plan for Prevention Control Water Pollution” issued by State Council shows Chinese government’s high attention to this issue. However, monitoring are inextricably linked. There few studies on large-scale water, especially cases using unmanned aerial vehicle...