群自同构全提升本盖结构

根据Ｆｒｙ的群与Ｇｒｕｅｎｂｅｒｇ的扩张范畴（Ｔｒ

A minimal-distance overlay for efficiently disseminating replicas in DHT-based P2P networks

In this paper, the problems of redundant traffic and redundant replicas tor efficient object replication in P2P overlay are studies. Firstly, a hierarchical and topology-aware P2P overlay is developed with κ-Medoids partition algorithm to achieve the minimal physical distance of all super peer pairs. Secondly, a new idea of placing at most one replica in a cluster of physically adjacent nodes is introduced to achieve scattered distribution of replicas. Lastly, an efficient replicas-query algorithm based on multiple hash functions is proposed. Theoretical analysis and simulation experiment on several performance metrics are given, and it is verified that the method in this paper can efficiently disseminate replicas across the network, increase query-hit ratio, and decrease redundant messages and storage spaces required.

Calculation of slope-cover height under price fluctuation in open-pit mines

Leaving ditches between adjacent mining areas can effectively reduce re-stripping in the latter mining area and simultaneously lead to an increment in internal dumping costs in the former mining area. This paper establishes calculation models for these two marginal costs. The optimizing model for slope cover height can be determined by including marginal cost models in the objective function. The paper has two main contributions:(a) it fully considers redistribution of dumping space in the model;(b) it introduces price fluctuations and cash discounts in the model. We use the typical open-pit mine as an example to test and prove the model. We conclude that a completely covered slope is reasonable in Haerwusu open pit mine; in addition to an increasing price index, the slope cover height can be reduced; and that price changes are one of the most important influencing factors of slope cover height optimization in an open-pit mine.

Pricing and Permit Loads Impact on Overlay Costs for Highways in Louisiana

A methodology for the evaluation of the economic impact of overweight permitted vehicles hauling agricultural products on state highways is presented in this study. The different gross vehicle weight scenarios that are selected for this investigation range between 80,000 lb. and 100,000 lb. Uniform distribution of axle loads and lumped loads are considered in this study. This study evaluates the proposed higher truck loads and their economic impact to the highways and to the industry. The effects of adapting higher truck loads on the existing highways are evaluated using a deterministic load capacity evaluation as well as a reliability assessment. The target reliability level is derived from AASHTO （American Association of State Highway and Transportation Officials） standard design specifications to satisfy safe and adequate performance level. The overlay thickness required to carry traffic from each gross vehicle weight scenario for the overlay design period is determined. Differences in overlay life were calculated for different gross vehicle weight scenarios with uniform and lumped axle loads. The overlay thickness and costs were determined for a twenty year analysis period using statistical methods. The result showed that lumped loads with allowable axle load of 48,000 lb. produce more pavement damage than the current permitted gross vehicle weight for timber trucks with equally loaded axles.

Effect of Japanese knotweed(Fallopia japonica)Mulching on Continuous Potato Cropping:Modern Evaluation of Traditional Japanese Knotweed-mulch Farming in Nishi-Awa Steep Slope Land Agriculture System,Japan

Poaceae species such as silver grass or reed are commonly used in traditional mulch farming in Japan,where the Nishi-Awa area is a Globally Important Agricultural Heritage Systems(GIAHS)site.Farmers here have traditionally used silver grass for mulch farming;furthermore,local farmers have learned from long-standing experience that Japanese knotweed(Fallopia japonica,Polygonaceae)is better for cultivation of solanaceous crops in this area.However,it is unclear why Japanese knotweed mulching is beneficial for cultivation of solanaceous crops.Thus,in this study,we hypothesized that Japanese knotweed mulching may be effective in avoiding hazards associated with continuous potato cropping,as native potato used to be cultivated twice a year in the past.Therefore,we investigated the effects of Japanese knotweed mulching on continuous potato cropping and after tomato cropping,which is another solanaceous crop species.Field experiments were conducted in 2018.First,we compared Japanese knotweed mulching,silver grass mulching and no grass mulching(control)in a soil under continuous potato cultivation and in an uncultivated soil.As a result,the extent of the potato yield decrease was reduced by Japanese knotweed mulching.Secondly,we compared Japanese knotweed-mulching and no grass mulching in a soil after a tomato crop and in an uncultivated soil.The extent of decrease in potato growth and yield was also reduced by Japanese knotweed mulching.These findings indicate that mulching with Japanese knotweed helped to avoid the risks associated with continuous potato cropping.

Solutions of the Schrdinger Equation with Quantum Mechanical Gravitational Potential Plus Harmonic Oscillator Potential

The solutions of the Schrodinger equation with quantum mechanical gravitational potential plus harmonic oscillator potential have been presented using the parametric Nikiforov-Uvarov method. The bound state energy eigen values and the corresponding un-normalized eigen functions are obtained in terms of Laguerre polynomials. Also a special case of the potential has been considered and its energy eigen values are obtained.

The first all-season sample set for mapping global land cover with Landsat-8 data

We report the world's first all-season training and validation sample sets for global land cover classification with Landsat-8 data.Prior to this,such samples were only available at a single date primarily from the growing season.It is unknown how much limitation such a single-date sample has to mapping global land cover in other seasons of the year.To answer this question,we selected available Landsat-8 images from four seasons and collected training and validation samples from them.We compared the performances of training samples in different seasons using Random Forest algorithm.We found that the use of training samples from any individual season would result in the best overall classification accuracy when validated by samples in the same season.The global overall accuracy from combined best seasonal results was 67.2% when classifying the 11 Level-1 classes in the Finer Resolution Observation and Monitoring of Global Land Cover(FROM-GLC) classification system.The use of training samples from all seasons(named all-season training sample set hereafter) produced an overall accuracy of 67.0%.We also tested classification within 10° latitude 60° longitude zones using all-season training subsample within each zone and obtained an overall accuracy of 70.2%.This indicates that properly grouped subsamples in space can help improve classification accuracies.All the results in this study seem to suggest that it is possible to use an all-season training sample set to reach global optimality with universal applicability in classifying images acquired at any time of a year for global land cover mapping.

Using a global reference sample set and a cropland map for area estimation in China

A technically transparent and freely available reference sample set for validation of global land cover mapping was recently established to assess the accuracies of land cover maps with multiple resolutions.This sample set can be used to estimate areas because of its equal-area hexagon-based sampling design.The capabilities of these sample set-based area estimates for cropland were investigated in this paper.A 30-m cropland map for China was consolidated using three thematic maps(cropland,forest and wetland maps)to reduce confusion between cropland and forest/wetland.We compared three area estimation methods using the sample set and the 30 m cropland map.The methods investigated were:(1)pixel counting from a complete coverage map,(2)direct estimation from reference samples,and(3)model-assisted estimation combining the map with samples.Our results indicated that all three methods produced generally consistent estimates which agreed with cropland area measured from an independent national land use dataset.Areas estimated from the reference sample set were less biased by comparing with a National Land Use Dataset of China(NLUD-C).This study indicates that the reference sample set can be used as an alternative source to estimate areas over large regions.