Nanjing University of Information Science and Technology

About: Nanjing University of Information Science and Technology is a education organization based out in Nanjing, China. It is known for research contribution in the topics: Precipitation & Aerosol. The organization has 14129 authors who have published 17985 publications receiving 267578 citations. The organization is also known as: Nan Xin Da.

The western Pacific subtropical high after the 1970s: westward or eastward shift?

Abstract: The interdecadal variation of the western Pacific subtropical high (WPSH) in summer (June–July–August) during 1979–2009 relative to 1948–1978 was investigated based upon NCEP–NCAR reanalysis data. Since the WPSH appeared to be much more stable and stronger in the lower troposphere compared to the middle troposphere and had great influences on the East Asian summer climate with the lower-level southerlies or southwesterlies at its western and southern edge, the interdecadal changes of the WPSH at low levels were examined in this study. Over the area of interest (~15°–30°N, 120°–150°E), the 850-hPa anticyclone circulation was weakened, the sea level pressure decreased, the relative vorticity at middle and lower levels (1,000–600 hPa) increased, and the maximum meridional wind at each latitude (between 17.5° and 32.5°N) moved eastward. All the above decadal variations suggested that the WPSH recessed eastward during 1979–2009 relative to 1948–1978, which can be displayed in the 850-hPa eddy geopotential height field. In association with the eastward recession of the WPSH, the water vapor transport from the Indian summer monsoon played a more important role in the summer precipitation over the middle and lower reaches of the Yangtze River valley during 1979–2009 relative to 1948–1978.

Visual Tracking via Online Nonnegative Matrix Factorization

Abstract: In visual tracking, holistic and part-based representations are both popular choices to model target appearance. The former is known for great efficiency and convenience, while the latter for robustness against local appearance or shape variations. Based on nonnegative matrix factorization (NMF), we propose a novel visual tracker that takes advantage of both groups. The idea is to model the target appearance by a nonnegative combination of nonnegative components learned from examples observed in previous frames. To adjust NMF to the tracking context, we include sparsity and smoothness constraints in addition to the nonnegativity one. Furthermore, an online iterative learning algorithm, together with a proof of convergence, is proposed for efficient model updating. Putting these ingredients together with a particle filter framework, the proposed tracker, constrained online nonnegative matrix factorization (CONMF), achieves robustness to challenging appearance variations and nontrivial deformations while running in real time. We evaluate the proposed tracker on various benchmark sequences containing targets undergoing large variations in scale, pose, or illumination. The robustness and efficiency of CONMF is validated in comparison with several state-of-the-art trackers.

Survey on Prediction Algorithms in Smart Homes

Abstract: The world has entered into a “smart” era. One area becoming smart is the place where we live—homes. Smart homes are expected to be equipped with numerous sensors to continually monitor, sense, and actuate the space. The data from these sensors can be used to provide various types of services by automating common tasks while causing minimal disruption to daily life. In order to provide these services, a system must have sufficient intelligence to predict future events based on its observations. This paper first examines the requirements for smart home predictions. It then comprehensively reviews prediction algorithms and variations that have been proposed and investigated in smart environments, such as smart homes. It is these prediction algorithms that provide the intelligence required by a smart home. Comparisons are also made upon these prediction algorithms on their features and models.

Projected increase in tropical cyclones near Hawaii

Abstract: Future tropical cyclone activity is investigated around the Hawaiian Islands. Projections show a consistent and robust increase in the frequency of tropical cyclones by the end of the century. This increase is attributed to changes in large-scale circulation, which alters the cyclone tracks.