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The exponential development in online social media allows users around the globe the possibility to share and communicate information and ideas freely in different formats of data via internet. This emerging media has become a dominant communication tool and it has been used as a communication channel in several events, especially “The Arab Spring” and BOSTON'S attack etc. In order to develop useful...
The Operating Theater (OT) is known to be a fluctuating production system. The unpredictability of populations' needs has an impact on the required human and material resources. This makes the Operating Theater a dynamic environment. Thus, use of dynamic models is getting more realistic to solve OT layout problems. The Dynamic Operating Theater Layout Problem (DOTLP) has a main objective, to minimize...
Operating Theater Layout Problem (OTLP) has a great impact on the productivity and the efficiency of the health process. While solving OTLP, Real-life Operating Theater (OT) sizes are larger than exact methods capacity, this lead to explore other methods as heuristics, metaheuristics or parallel treatment looking for approximate solutions. In this paper we developed a novel approach using a Multi-Agent...
In this paper, we present a state of the art on the principal components analysis (PCA) and the possibility of its use for horizontal and vertical fragmentation of data warehouses (DW), in order to reduce the time of query execution. We focus on the study of correlation matrices, the impact of the eigenvalues evolution on the determination of suitable situations to achieve the PCA, and a study of...
Facility Layout Problem (FLP) has been widely used in industrial systems to manage the space and the facilities within the floor space. The layout has a great impact on the productivity and the efficiency of running an organization. In health care systems, FLP is applied to hospital layout in a way to improve the health process, but the Operating Theater layout has received less attention instead...
This Paper proposes a new method to fragment vertically and horizontally a data warehouse which based on statistic approach principal components analysis, we are presenting the theoretical basis of the PCA and the possibility of its use for the selection of the fragmentation pattern of the data warehouse to reduce the execution time of OLAP queries.
Semantic based 3D model retrieval (SB3DMR) has attracted more and more research interests, and is a challenge research problem in the field of content based 3D model retrieval (CB3DMR). Current studies concentrate on the relevance feedback or supervised learning to reduce the semantic gap between 3D model low-level features and high-level semantic. In this paper, a new method in extracting semantic...
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