36734488
Distributed Supercomputing for Graphics Applications: A Case Study on an Implementation of the Radiosity Approach
Besides the ray tracing technique, the radiosity method is another major approach for global illumination modeling in the field of computer graphics. Since this method needs a huge amount of storage space (both memory and disk) and a long pre-computation cycle, it is not suitable to implement it on conventional workstations, so therefore that supercomputers are necessary for such kind of graphics applications.
62212730
Distributed supercomputing to achieve real-time representation and manipulation of complex scenes
Abstract Besides the ray tracing technique, the radiosity method is another major approach for global illumination modeling in the field of computer graphics. Since this method needs a huge amount of storage space (both memory and disk) and a long pre-computation cycle, it is not suitable to implement it on conventional workstations. Supercomputers seem to be necessary for such kind of graphics applications. However, some problems appear with the integration of supercomputers and workstations in a distributed computing environment, especially for graphics application. The major problems are: (i) unavailability of standard higher-level mechanisms for building distributed application; (ii) transparent access to supercomputers without remote login or file transfer sessions; (iii) computation balance to make the best use of the performance of supercomputers and workstations; (iv) data transfer/storage strategy between supercomputers and workstations; and (v) conflict between interaction and response time for graphics applications. In this paper we suggest solutions to the above mentioned problems based on the remote procedure call (RPC) and the client/server model, for the radiosity package implementation. After the introduction of the radiosity method, we concentrate on the integration between supercomputers and high-performance workstations. We also convey some general issues related to distributed computing and present the experience with our implementation, such as the application protocol definition, error recovery, code debugging etc. The radiosity package has been implemented at ZGDV in Darmstadt, F.R.G. in a network environment including a Multiflow TRACE 7/300 supercomputer connected to several VAX, SUN and HP workstations.
16278142
Achieving distributed trusted services
A trusted third party (TTP) has been employed in many distributed applications to provide various services such as security and reliability. This paper presents an insight into distributing the trust among a set of hosts supporting distributed applications. It critically analyses the current work and suggests perspective solutions to the problem exhibited by using a single TTP, i.e. performance and security bottlenecks, in providing trust services in general and in agent-based threshold proxy sigcryption (ATPS) protocol proposed in [A Secure Method for Signature Delegation to Mobile Agents] in specific.
39485215
Security issues in an EDI environment
EDI (Electronic Data Interchange) means electronic transmission, processing, and storage of commercial, business, or trade related documents. The paper surveys the security threats posed to an EDI system, and outlines the techniques and services used to counter these threats. Most importantly, the paper has gone into great depth to address an EDI specific security requirement-non repudiation of receipt. The current related work done to support this service is first discussed, and then a new and simple, but effective protocol to achieve non repudiation of receipt on a distributed and heterogeneous system platform is proposed.
11711753
CRM Method for Power Supply Enterprises Based on Analysis of Utility and Customers_ Credit and Multistage Fuzzy Evaluation
As the major customers can choose power supply enterprises independently in electric power marketplace, the enterprises are forced to have to implement CRM, abbreviation for customer relationship management which is an important method of controlling the major customers to prevent their loss. While, in order to making the implementation of CRM more effectively, a problem on how to make a choice of the stimulation method depending on the need of electricity customers needs to be resolved by electricity power supply enterprises. This paper is on the basis of utility theory and multistage fuzzy evaluation, classifying major customers by analyzing and evaluating the level of the customers' credit and the utility of different stimulation methods on different electricity customers, and putting forward the stimulation method for the electricity power supply enterprises to implement CRM. At the end of this paper, this method is confirmed to be reasonable with a simulation example.
10680010
Automatic sports genre categorization and view-type classification over large-scale dataset
This paper presents a framework with two automatic tasks targeting large-scale and low quality sports video archives collected from online video streams. The framework is based on the bag of visual-words model using speeded-up robust features (SURF). The first task is sports genre categorization based on hierarchical structure. Following on the second task which is based on automatically obtained genre, views are classified using support vector machines (SVMs). As a consequence, the views classification result can be used in video parsing and highlight extraction. As compared with state-of-the-art methods, our approach is fully automatic as well as domain knowledge free and thus provides a better extensibility. Furthermore, our dataset consists of 14 sport genres with 6850 minutes in total. Both sport genre categorization and view type classification have more than 80% accuracy rates, which validate this framework's robustness and potential in web-based applications.
11164895
Primary-consistent soft-decision color demosaicking for digital cameras (patent pending)
Color mosaic sampling schemes are widely used in digital cameras. Given the resolution of CCD sensor arrays, the image quality of digital cameras using mosaic sampling largely depends on the performance of the color demosaicking process. A common problem with existing color demosaicking algorithms is an inconsistency of sample interpolations in different primary color channels, which is the cause of the most objectionable color artifacts. To cure the problem, we propose a new primary-consistent soft-decision framework (PCSD) of color demosaicking. In the PCSD framework, we make multiple estimates of a missing color sample under different hypotheses on edge or texture directions. The estimates are made via a primary consistent interpolation, meaning that all three primary components of a color are interpolated in the same direction. The final estimate of a color sample is obtained by testing different interpolation hypotheses in the reconstructed full-resolution color image and selecting the best via an optimal statistical decision or inference process. A concrete color demosaicking method of the PCSD framework is presented. This new method eliminates certain types of color artifacts of existing color demosaicking methods. Extensive experimental results demonstrate that the PCSD approach can significantly improve the image quality of digital cameras in both subjective and objective measures. In some instances, our gain over the competing methods can be as much as 7dB.