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Since correct critical points are crucial for most shape decomposition algorithms, a variety of part-related measures have been presented to detect these critical points. Among this, the electrical charge distribution on the shape (ECDS) and its variants have some distinguishing characteristics and advantages, such as invariance and smoothness. However, we find it is still challenging to obtain satisfactory critical points, especially in the flat area such as the tails and legs of shapes. In this paper, we propose a novel way to make ECDS exhibit low values at given critical points. That is to say, critical points from other part-related measures can be introduced in ECDS, which will highly improve its descriptive ability. To achieve it, we propose to add constraints to linear equations, meanwhile relax these constraints in an anisotropy heat diffusion manner. Furthermore, we put forward a novel approach to find the stable extreme points of the improved ECDS (IECDS), which usually corresponding to critical points. Finally, we conduct experiments on the shapes in the MPEG-7 dataset, demonstrating that our method can obtain more meaningful critical points than existing methods.

Volume holographic storage is currently the subject of widespread interest as a fast data readout, high-capacity digital data-storage technology. However, due to the effect of cross-talk noise, scattering noise, noise gratings formed during a multiple exposure schedule, it brings a lot of burst errors and random errors in the system. In general, row and column (RAC) array codes is based on single parity check codes, so it is weak to correct errors ability. In order to get the acceptable bit error rate (BER)(10 -12 ). This paper presents multiblock strategy to solve the application of involving an entire page of data which may be as large as 1Mbits and We design VLSI implementations of multiblock RAC array coding encoder and decoder architecture for volume holographic storage. We analyze performance about hardware requirements and time delays associated with the multiblock RAC array code.

Volume holography is currently the subject of widespread interest as a fast-readout-rate, high-capacity digital data-storage technology. However, due to the effect of cross-talk noise, scattering noise, noise gratings formed during a multiple exposure schedule, it brings a lot of burst errors and random errors in the system. Reed-Solomon error-correction codes have been widely used to protect digital data against errors. This paper presents VLSI implementations of an 16 errors correcting (255,223) Reed-Solomon decoder architecture for volume holographic storage. We describe the Reed-Solomon decoders using modified Euclidean algorithms which are regular and simple, and naturally suitable for VLSI implementations. We design the speedily multiplication for GF(28) and pipeline structure to solve hardware complexity and high data processing rate for the Reed-Solomon decoders. We adopt high speed FPGA and have a data processing rate of 200 Mbit/s.

Both the requirement of the application and the development of the technology have promoted the research of the new network protocols in network storage, and currently IP-based SAN has become new focus of study. The main network protocols used in IP-based SAN are: iSCSI, FCIP, iFCP and mFCP. They all implement the transmitting of block level storage data over TCP/IP. To understand and master the protocols deeply, this paper elaborates the latest development of these protocols, and analyzes and compares them intensively in regards of protocol stack, implementation model, naming, addressing, discovery and routing etc.

The steady and fast increase of data intensive application is violently driving the demand for more data storage capacity and new storage architecture. The server-attached storage approach is being replaced by storage area networks (SANs), whose primary purpose is the transfer of data between computer systems and storage elements or among storage elements, allowing storage devices to be shared among multiple servers. In this paper, we mainly analyze the different characters of Fibre Channel, iSCSI and InfiniBand used within the SANs environment. This paper discusses the issues of protocol performance, protocol scalability, the security mechanism, the interoperability and adaptability with SAN environments, the cost of investment of each architecture and so on. Comparing the performance of traditional direct attached storage, the findings show that all Fibre Channel, InfiniBand and iSCSI are the competent gigabit networking technology for storage area networks. Each protocol has its own advantages and disadvantages. Due to the overwhelming benefits of economy, covenience and high performance/cost ratio, more enterprise can deploy iSCSI SAN based on mature and existing TCP/IP infrastructure.

With the fast growth of data in multispectral image processing, the traditional storage architecture was challenged. It is currently being replaced by Storage Area Networks (SAN), which makes storage devices externalized from servers. A SAN is a separate network for storage, isolated from the messaging network and optimized for the movement of data between servers and storage devices. Nowadays, most of current SAN use Fibre Channel to move data between servers and storage devices (FC-SAN), but because of the drawbacks of the FC-SAN: for interoperability, lack of skilled professional and management tools, high implementation cost and so on, the development and application of FC-SAN was obstructed. In this paper, we introduce an IP-based Storage Area Networks architecture, which has the good qualities of FC- SAN but overcomes the shortcoming of it. The principle is: use IP technology to move data between servers and storage devices, build a SAN with the IP-based network devices (not the FC-based network device), and through the switch, SAN is attached to the LAN(Local Area Network) through multiple access. Especially, these storage devices are acted as commercial NAS devices and PC.© (2001) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only.