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"The LNCS journal Transactions on large-scale data- and knowledge-centered systems focuses on data management, knowledge discovery, and knowledge processing, which are core and hot topics in computer science. Since the 1990s, the Internet has become the main driving force behind application development in all domains. An increase in the demand for resource sharing across different sites connected through networks has led to an evolution of data- and knowledge-management systems from centralized systems to decentralized systems enabling large-scale distributed applications providing high scalability. Current decentralized systems still focus on data and knowledge as their main resource. Feasibility of these systems relies basically on P2P (peer-to-peer) techniques and the support of agent systems with scaling and decentralized control. Synergy between grids, P2P systems, and agent technologies is the key to data- and knowledge-centered systems in large-scale environments. This, the seventh issue of transactions on large-scale data- and knowledge-centered systems, contains five revised selected regular papers on the following topics: data management, data streams, service-oriented computing, abstract algebraic frameworks, RDF and ontologies, and conceptual model frameworks."

"Topics covered include skyline queries, probabilistic logics and reasoning, theory of conceptual modeling, prediction in networks of moving objects, validation of XML integrity constraints, management of loosely structured multi-dimensional data, data discovery in the presence of annotations, and quality ranking for Web articles."

"The LNCS journal Transactions on Large-Scale Data- and Knowledge-Centered Systems focuses on data management, knowledge discovery, and knowledge processing, which are core and hot topics in computer science. Since the 1990s, the Internet has become the main driving force behind application development in all domains. An increase in the demand for resource sharing across different sites connected through networks has led to an evolution of data- and knowledge-management systems from centralized systems to decentralized systems enabling large-scale distributed applications providing high scalability. Current decentralized systems still focus on data and knowledge as their main resource. Feasibility of these systems relies basically on P2P (peer-to-peer) techniques and the support of agent systems with scaling and decentralized control. Synergy between Grids, P2P systems, and agent technologies is the key to data- and knowledge-centered systems in large-scale environments. This, the fifth issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, contains nine selected full-length papers, focusing on the topics of query processing, information extraction, management of dataspaces and contents, and mobile applications."

"instance point cloud memungkinkan untuk melakukan segmentasi bentuk dari instance 3D yang berbeda pada kelas semantik yang sama. Penerapan segmentasi 3D pada pemodelan 3D area perkotaan dapat merangsang perkembangan lebih lanjut untuk menganalisis pemodelan 3D area perkotaan. Segmentasi instance 3D point cloud perkotaan memiliki tantangan tersendiri, sebagai contoh ukuran skala besar dan bentuk instance yang lebih beragam, dibandingkan 3D point cloud di dalam ruang. Penelitian ini mengajukan optimasi dari segmentasi instance 3D point cloud pada daerah perkotaan skala besar dengan optimasi metode pencacahan menggunakan metode pencacahan overlapping dan modifikasi bagian backbone Hierarchical Aggregation 3D Instance Segmentation (HAIS) dengan 3D U-Net Attention ASPP Sparse CNN (metode proposed). Eksperimen dan evaluasi dilakukan terhadap HAIS dan metode proposed. Berdasarkan hasil eksperimen, didapati penggunaan metode pencacahan ukuran 50 overlapping dan modifikasi backbone HAIS dengan 3D U-Net Attention ASPP Sparse CNN (dengan hasil evaluasi AP = 48.78, AP50 = 60.45 dan AP25 = 65.33) memiliki tren kenaikan performa lebih baik dibandingkan dengan metode baseline (dengan hasil evaluasi AP = 44.83, AP50 = 56.48 dan AP25 = 62.36).

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Instance segmentation of 3D point cloud is possible to perform the segmentation of 3D object shape and to differentiate instances on similar semantic class. Urban Area's large-scale 3D point cloud instance segmentation has its own challenges, namely large-scale instance forms and is more diverse, compared to indoor 3D point clouds. This study proposed optimization of 3D point cloud instance segmentation in largescale urban areas by enhancing the patching method by using overlapping method and modifying the HAIS backbone section with 3D U-Net Attention ASPP Sparse CNN (the proposed method). The experiments and evaluations will be carried out on HAIS model with baseline method from STPLS3D and our proposed method. Based on our experimental results, was found by using patching method 50 size overlapping and modification of the HAIS backbone with 3D U-Net Attention ASPP Sparse CNN (evaluation results of AP = 48.78, AP50 = 60.45 and AP25 = 65.33) has trend to increase the performance of HAIS method which is better than the baseline method (evaluation results AP = 44.83, AP50 = 56.48 and AP25."

"This book contains extended and revised versions of the best papers presented at the 19th IFIP WG 10.5/IEEE International Conference on Very Large Scale Integration, VLSI-SoC 2011, held in Hong Kong, China, in October 2011. The 10 papers included in the book were carefully reviewed and selected from the 45 full papers and 16 special session papers presented at the conference. The papers cover a wide range of topics in VLSI technology and advanced research. They address the current trend toward increasing chip integration and technology process advancements bringing about stimulating new challenges both at the physical and system-design levels, as well as in the test of theses systems."

"This book contains extended and revised versions of the best papers presented at the 18th IFIP WG 10.5/IEEE International Conference on Very Large Scale Integration, VLSI-SoC 2010, held in Madrid, Spain, in September 2010. The 14 papers included in the book were carefully reviewed and selected from the 52 full papers presented at the conference. The papers cover a wide variety of excellence in VLSI technology and advanced research. They address the current trend toward increasing chip integration and technology process advancements bringing about stimulating new challenges both at the physical and system-design levels, as well as in the test of theses systems."