Wireless sensor networks consist of small, inexpensive devices which interact with the environment, communicate with each other, and perform distributed computations in order to monitor spatio-temporal phenomena. These devices are ideally suited for a variety of applications including object tracking, environmental monitoring, and homeland security. At present, sensor network technologies do no...

Learning a measure of similarity between pairs of objects is a fundamental problem in machine learning. It stands in the core of classification methods like kernel machines, and is particularly useful for applications like searching for images that are similar to a given image or finding videos that are relevant to a given video. In these tasks, users look for objects that are not only visually...

Within the field of guilt and shame, two competing perspectives have been advanced. 7 The first, the social-adaptive perspective, proposes that guilt is an inherently adaptive emotion and 8 shame is an inherently maladaptive emotion; thus, those interested in moral character development 9 and psychopathology should work to increase an individual’s guilt-proneness and decrease an 10 individual’s...

This paper will review the design of statistical studies, and comment on the difficulty of drawing causal inferences from non-experimental data. The most basic design is a comparison of rates for two groups of subjects. Subjects in one group get the treatment of interest; subjects in the other group are the controls. The difficulty is ensuring that the groups are similar, apart from the treatment.

This paper reports results of Chinese – Japanese CLIR experiments using on-line query translation techniques. Approaches to employ English as a pilot language and to utilize several on-line translation systems are introduced. They were tested on NTCIR – 3, 4, 5, and 6 collections. Proposed procedures can be helpful under certain circumstances.

SUMMARY Several outlier and subgroup identification statistics (OASIS) have been proposed to discover transcriptomic features with outliers or multiple modes in expression that are indicative of distinct biological processes or subgroups. Here, we borrow ideas from the OASIS methods in the bioinformatics and statistics literature to develop the 'most informative spacing test' (MIST) for unsuper...

Ecosystem risk is a new concept in understanding environmental problems. It is important to study and develop quantitative methods for regional ecosystem risk analysis. In this study, some new indicators and methods for measuring oasis ecosystem risk were established using reliability theory. These indicators are linked to water resource, which is the key restricting factor in arid area oasis e...

This paper describes research into automated support for air tra c controllers performing tactical air tra c management. It describes the OASIS system developed to help alleviate air tra c congestion. The system achieves this by maximizing runway utilization, achieved through arranging landing aircraft into an optimal order, assigning them a landing time, and then monitoring the progress of eac...

Learning a measure of similarity between pairs of objects is an important generic problem in machine learning. It is particularly useful in large scale applications like searching for an image that is similar to a given image or finding videos that are relevant to a given video. In these tasks, users look for objects that are not only visually similar but also semantically related to a given ob...

The last decade has seen the explosive uptake of technologies to support true Internet-scale distributed systems, many of which will require security. The policy dictating authorisation and privilege restriction should be decoupled from the services being protected: (1) policy can be given its own independent language syntax and semantics, hopefully in an application independent way; (2) policy...