Building Confidential and Efficient Query Services in the Cloud with RASP Data Perturbation

With the wide deployment of public cloud computing infrastructures, using clouds to host data query services has become an appealing solution for the advantages on scalability and cost-saving. However, some data might be sensitive that the data owner does not want to move to the cloud unless the data confidentiality and query privacy are guaranteed. On the other hand, a secured query service should still provide efficient query processing and significantly reduce the in-house workload to fully realize the benefits of cloud computing. We propose the RASP data perturbation method to provide secure and efficient range query and kNN query services for protected data in the cloud. The RASP data perturbation method combines order preserving encryption, dimensionality expansion, random noise injection, and random projection, to provide strong resilience to attacks on the perturbed data and queries. It also preserves multidimensional ranges, which allows existing indexing techniques to be applied to speedup range query processing. The kNN-R algorithm is designed to work with the RASP range query algorithm to process the kNN queries. We have carefully analyzed the attacks on data and queries under a precisely defined threat model and realistic security assumptions. Extensive experiments have been conducted to show the advantages of this approach on efficiency and security.Comment: 18 pages, to appear in IEEE TKDE, accepted in December 201

Community assessment of tropical tree biomass:challenges and opportunities for REDD+

BACKGROUND: REDD+ programs rely on accurate forest carbon monitoring. Several REDD+ projects have recently shown that local communities can monitor above ground biomass as well as external professionals, but at lower costs. However, the precision and accuracy of carbon monitoring conducted by local communities have rarely been assessed in the tropics. The aim of this study was to investigate different sources of error in tree biomass measurements conducted by community monitors and determine the effect on biomass estimates. Furthermore, we explored the potential of local ecological knowledge to assess wood density and botanical identification of trees. RESULTS: Community monitors were able to measure tree DBH accurately, but some large errors were found in girth measurements of large and odd-shaped trees. Monitors with experience from the logging industry performed better than monitors without previous experience. Indeed, only experienced monitors were able to discriminate trees with low wood densities. Local ecological knowledge did not allow consistent tree identification across monitors. CONCLUSION: Future REDD+ programmes may benefit from the systematic training of local monitors in tree DBH measurement, with special attention given to large and odd-shaped trees. A better understanding of traditional classification systems and concepts is required for local tree identifications and wood density estimates to become useful in monitoring of biomass and tree diversity. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13021-015-0028-3) contains supplementary material, which is available to authorized users

Intraoperative Cuff Pressure Monitoring of Airway Devices: An Evidence-Based Educational Intervention

Background and Review of Literature: Subjective methods for assessing airway device cuff pressures (CP) remain in use to determine correct inflation, despite evidence indicating inadequate sensitivity for identifying under and overinflation. Inadequate CP can cause tissue ischemia, mucosal ulcers, stenosis, and aspiration. Recommendations for endotracheal tubes (ETT) CP are 20 to 30 cm H2O and ≤ 60 cmH2O for supraglottic airway (SGA) devices. Currently, there are no guidelines for intraoperative monitoring of airway devices. Manometers are the most accurate and accepted method for assessing CP; however, they are underutilized intraoperatively. Purpose: The project goal was to promote CP assessment intraoperatively with manometry and create a practice guideline for measuring and monitoring CP. Methods: A literature review was performed to evaluate recent evidence on CP assessment for airway devices to develop practice guidelines for intraoperative monitoring of CP. A group of 23 licensed anesthesia providers participated in the project. Pre-and post-surveys were utilized. Evaluation of current knowledge, methodology, rating of importance, and willingness to adopt manometry for CP intraoperative monitoring was obtained. Education on CP monitoring was discussed with participants, followed by post-survey. Pre-survey was used to evaluate participants’ current methods for ETT and SGA CP assessment. During routine intubation, participants were asked to inflate an airway device using their preferred technique to determine adequate CP. Readings for CP were measured using a manometer device approved by the Food and Drug Administration (FDA). Data for their corresponding CP reading was shared with participants, and educational information reflecting current evidence for CP monitoring. Post-survey was then performed to evaluate the participants’ willingness to adapt CP assessment with manometry into their practice. Conclusion: Intraoperative CP was predominantly performed with subjective techniques. Anesthesia providers expressed a willingness to assess CP with manometry, posing education as a possible foundational step for future implemention of CP monitoring in the operating room (OR). Lack of guidelines for CP monitoring intraoperatively and variability in monitoring CP due to subjective assessment methods emphasized the need for standardization and the increased availability of manometry devices for intraoperative use

Sensitivity study of the instrumental temperature corrections on Brewer total ozone column measurements

The instrumental temperature corrections to be applied to the ozone measurements by the Brewer spectrophotometers are derived from the irradiance measurements of internal halogen lamps in the instruments. These characterizations of the Brewer spectrophotometers can be carried out within a thermal chamber, varying the temperature from -5 to +45ºC, or during field measurements, making use of the natural change in ambient temperature. However, the internal light source used to determine the thermal sensitivity of the instrument could be affected in both methods by the temperature variations as well, which may affect the determination of the temperature coefficients. In order to validate the standard procedures for determining Brewer’s temperature coefficients, two independent experiments using both external light sources and the internal halogen lamps have been performed within the ATMOZ Project. The results clearly show that the traditional methodology based on the internal halogen lamps is not sensitive to the temperature-caused changes in the spectrum of the internal light source. The three methodologies yielded equivalents results, with differences in total ozone column below 0.08% for a mean diurnal temperature variation of 10ºC.This work has been supported by the European Metrology Research Programme (EMRP) within the joint research project ENV59 “Traceability for atmospheric total column ozone” (ATMOZ)

A Hybrid Quantum-Classical Method for Electron-Phonon Systems

Interactions between electrons and phonons play a crucial role in quantum materials. Yet, there is no universal method that would simultaneously accurately account for strong electron-phonon interactions and electronic correlations. By combining methods of the variational quantum eigensolver and the variational non-Gaussian solver, we develop a hybrid quantum-classical algorithm suitable for this type of correlated systems. This hybrid method tackles systems with arbitrarily strong electron-phonon coupling without increasing the number of required qubits and quantum gates, as compared to purely electronic models. We benchmark the new method by applying it to the paradigmatic Hubbard-Holstein model at half filling, and show that it correctly captures the competition between charge density wave and antiferromagnetic phases, quantitatively consistent with exact diagonalization.Comment: 8 pages, 4 figures; 4 pages Supplemental Materia

A distributed Monte Carlo based linear algebra solver applied to the analysis of large complex networks

Methods based on Monte Carlo for solving linear systems have some interesting properties which make them, in many instances, preferable to classic methods. Namely, these statistical methods allow the computation of individual entries of the output, hence being able to handle problems where the size of the resulting matrix would be too large. In this paper, we propose a distributed linear algebra solver based on Monte Carlo. The proposed method is based on an algorithm that uses random walks over the system’s matrix to calculate powers of this matrix, which can then be used to compute a given matrix function. Distributing the matrix over several nodes enables the handling of even larger problem instances, however it entails a communication penalty as walks may need to jump between computational nodes. We have studied different buffering strategies and provide a solution that minimizes this overhead and maximizes performance. We used our method to compute metrics of complex networks, such as node centrality and resolvent Estrada index. We present results that demonstrate the excellent scalability of our distributed implementation on very large networks, effectively providing a solution to previously unreachable problem instances.info:eu-repo/semantics/acceptedVersio

Modeling the ascent of sounding balloons: derivation of the vertical air motion

A new model to describe the ascent of sounding balloons in the troposphere and lower stratosphere (up to ∼30–35 km altitude) is presented. Contrary to previous models, detailed account is taken of both the variation of the drag coefficient with altitude and the heat imbalance between the balloon and the atmosphere. To compensate for the lack of data on the drag coefficient of sounding balloons, a reference curve for the relationship between drag coefficient and Reynolds number is derived from a dataset of flights launched during the Lindenberg Upper Air Methods Intercomparisons (LUAMI) campaign. The transfer of heat from the surrounding air into the balloon is accounted for by solving the radial heat diffusion equation inside the balloon. In its present state, the model does not account for solar radiation, i.e. it is only able to describe the ascent of balloons during the night. It could however be adapted to also represent daytime soundings, with solar radiation modeled as a diffusive process. The potential applications of the model include the forecast of the trajectory of sounding balloons, which can be used to increase the accuracy of the match technique, and the derivation of the air vertical velocity. The latter is obtained by subtracting the ascent rate of the balloon in still air calculated by the model from the actual ascent rate. This technique is shown to provide an approximation for the vertical air motion with an uncertainty error of 0.5 m s<sup>−1</sup> in the troposphere and 0.2 m s<sup>−1</sup> in the stratosphere. An example of extraction of the air vertical velocity is provided in this paper. We show that the air vertical velocities derived from the balloon soundings in this paper are in general agreement with small-scale atmospheric velocity fluctuations related to gravity waves, mechanical turbulence, or other small-scale air motions measured during the SUCCESS campaign (Subsonic Aircraft: Contrail and Cloud Effects Special Study) in the orographically unperturbed mid-latitude middle troposphere