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Interoperability for Smart Home Environment Using Web Services
Thinagaran Perumal,Abdul Rahman Ramli,Chui Yew Leong,Shattri Mansor,Khairulmizam Samsudin 보안공학연구지원센터 2008 International Journal of Smart Home Vol.2 No.4
Recent advances in computing and communication technologies paved the growth for applications and devices in smart home environment. A typical smart home is highly characterized by heterogeneity elements that need to perform joint execution of tasks in an efficient manner. Although there are huge growth of services, applications and devices in smart home environment, the interoperability elements still seems ambiguous. Being a distributed architecture, smart home environment needs certain degree of interoperability to manage sub-systems comprising of different platforms. Generally, these sub-systems are developed in isolation and consist of different operating system and tier of services. There is need for a cross-platform interoperability that could make the sub-systems ‘talk’ each other and operate in an interoperable fashion within smart home environment. Web Services seems to be the emerging technology that could lead the way in providing greater interoperability. In this paper we describe the potential of Web Services technology using Simple Object Access Protocol (SOAP) in addressing the interoperability requirements for smart home environment. The SOAP protocol provides data exchange mechanism as well as optimized performance for interoperation among sub-systems residing in smart home environment. The proposed system performance is evaluated to demonstrate a complete, bi-directional real-time management of sub-systems in smart home environment.
A Fast Processing Algorithm for Lidar Data Compression Using Second Generation Wavelets
Pradhan B.,Sandeep K.,Mansor Shattri,Ramli Abdul Rahman,Mohamed Sharif Abdul Rashid B. The Korean Society of Remote Sensing 2006 大韓遠隔探査學會誌 Vol.22 No.1
The lifting scheme has been found to be a flexible method for constructing scalar wavelets with desirable properties. In this paper, it is extended to the UDAR data compression. A newly developed data compression approach to approximate the UDAR surface with a series of non-overlapping triangles has been presented. Generally a Triangulated Irregular Networks (TIN) are the most common form of digital surface model that consists of elevation values with x, y coordinates that make up triangles. But over the years the TIN data representation has become an important research topic for many researchers due its large data size. Compression of TIN is needed for efficient management of large data and good surface visualization. This approach covers following steps: First, by using a Delaunay triangulation, an efficient algorithm is developed to generate TIN, which forms the terrain from an arbitrary set of data. A new interpolation wavelet filter for TIN has been applied in two steps, namely splitting and elevation. In the splitting step, a triangle has been divided into several sub-triangles and the elevation step has been used to 'modify' the point values (point coordinates for geometry) after the splitting. Then, this data set is compressed at the desired locations by using second generation wavelets. The quality of geographical surface representation after using proposed technique is compared with the original UDAR data. The results show that this method can be used for significant reduction of data set.
A Fast Processing Algorithm for Lidar Data Compression Using Second Generation Wavelets
B. Pradhan,K. Sandeep,Shattri Mansor,Abdul Rahman Ramli,Abdul Rashid B. Mohamed Sharif 大韓遠隔探査學會 2006 大韓遠隔探査學會誌 Vol.22 No.1
The lifting scheme has been found to be a flexible method for constructing scalar wavelets with desirable properties. In this paper, it is extended to the UDAR data compression. A newly developed data compression approach to approximate the LIDAR surface with a series of non-overlapping triangles has been presented. Generally a Triangulated Irregular Networks (TIN) are the most common form of digital surface model that consists of elevation values with x, y coordinates that make up triangles. But over the years the TIN data representation has become an important research topic for many researchers due its large data size. Compression of TIN is needed for efficient management of large data and good surface visualization. This approach covers following steps: First, by using a Delaunay triangulation, an efficient algorithm is developed to generate TIN, which forms the terrain from an arbitrary set of data. A new interpolation wavelet filter for TIN has been applied in two steps, namely splitting and elevation. In the splitting step, a triangle has been divided into several sub-triangles and the elevation step has been used to `modify` the point values (point coordinates for geometry) after the splitting. Then, this data set is compressed at the desired locations by using second generation wavelets. The quality of geographical surface representation after using proposed technique is compared with the original LIDAR data. The results show that this method can be used for significant reduction of data set.