This paper addresses active state estimation with a team of robotic sensors. The states to be estimated are represented by spatially distributed, uncorrelated, stationary vectors. Given a prior belief on the geographic locations of the states, we cluster the states in moderately sized groups and propose a new hierarchical Dynamic Programming (DP) framework to compute optimal sensing policies fo...

With the rapid development in mobile network effective network planning tool is needed to satisfy the need of customers. However, deciding upon the optimum placement for the base stations (BS) to achieve best services while reducing the cost is a complex task requiring vast computational resource. This paper addresses antenna placement problem or the cell planning problem, involves locating and...

Unmanned aerial vehicle (UAV) cluster combat is a typical example of an intelligent application, and it characterized by its large scale, low cost, retrievability, intra-cluster autonomous coordination. An unmanned reconnaissance mission for target group (URMFTG) significant pattern in UAV combat. This paper discusses the collaborative path planning problem formations (UAVFs) refueling tankers ...

Optimization of process planning is considered as the key technology for computer-aided process planning which is a rather complex and difficult procedure. A good process plan of a part is built up based on two elements: (1) the optimized sequence of the operations of the part; and (2) the optimized selection of the machine, cutting tool and Tool Access Direction (TAD) for each operation. In th...

Cluster tools are widely used in modern semiconductor manufacturing facilities. In parallel mode they offer high throughput at the cost of a complex behaviour with regard to lot cycle times. The reason is that cluster tools are behave like small factories themselves. We analyze the slow-down of the processing of a lot that is caused by other lots in the tool and examine how the slowdown factor ...

The ability to reliably respond to stimuli could be an important biological determinant of differences in fluid intelligence (Gf). However, most electrophysiological studies of Gf employ event-related potential (ERP) measures that average brain activity over trials, and hence have limited power to quantify neural variability. Time-frequency analyses can capture cross-trial variation in the phas...

Randomized trials in which the unit of randomization is a community, worksite, school or family are becoming widely used in the evaluation of life-style interventions for the prevention of disease. The increasing interest in adopting a cluster randomization design is being matched by rapid methodological developments. In this paper we describe several of these developments. Brief mention is als...

This study identified 4 types of engaged couples from a sample of 5,030 couples, using the premarital inventory PREPARE. Profiles were derived using a 3-stage clustering analytic procedure, including an exploratory cluster analysis, a replication of the exploratory results, and a crossvalidation analysis, all of which indicated that the 4-cluster solution was the best. The VITALIZED couples (28...

The Local Effect Model (LEM) represents an integral part of the heavy ion treatment planning software TRiP98 to calculate the biologically equivalent dose. Recently, the incorporation of cluster effects of single strand breaks at large local doses around the center of ion tracks was shown to be of particular importance for the prediction of the relative biological effectiveness (RBE) of the ini...

This paper describes WORD2HTN, an algorithm for learning hierarchical tasks and goals from plan traces in planning domains. WORD2HTN combines semantic text analysis techniques and subgoal learning in order to generate Hierarchical Task Networks (HTNs). Unlike existing HTN learning algorithms, WORD2HTN learns distributed vector representations that represent the similarities and semantics of the...