A neural network based tool for semi-automatic code transformation

A neural network based tool has been developed to assist in the process of code transformation. The tool offers advice on appropriate transformations within a knowledge-driven, semi-automatic parallelisation environment. We have identified the essential characteristics of codes relevant to loop transformations. A Kohonen network is used to discover structure in the characterised codes thus revealing new knowledge that may be brought to bear on the mapping between codes and transformations or transformation sequences. A transform selector based on this process has been developed and successfully applied to the parallelisation of sequential codes.

Investment and Capitalization of Firms in the USA

In the USA today, the precipitous rise of new financial mechanisms for capitalisation of firms as well as the merger and acquisition of others, especially risk equity capital through venture capitalist and investment banking, has sparked growth and helped to bring the economy out of the 1990s recession into a robust continuous growth pattern well positioned for the next century. The scenario is not new. For the venture capitalists of ''Silicon Valley'' in California, the experience is not new. They have seen the new industries arise before, like a phoenix from ashes of ruin, despair and even failure. Venture capital poured into high tech start-up companies has been an enormous source of financial support for the entrepreneurs who head new and growing companies. The mid-1990s marked the most dramatic increase yet recorded. Indicators, such as the NASDAQ document, outlined the solid and continuous growth in high tech industries. The paper discusses investment in US corporations within the context of governance and management of the company. Discussion about the various forms of finance are related to the organisation and management of the US corporation. Critical to any firm today are its ability to find innovative, new products or services. A growing literature on resource-base framework for analysis will be discussed as part of the firm's development of research for commercialisation. The results of a recent survey further shed light on the relationship between corporate financial management and allocated resources for research and development as the ''engine'' for new product development and therefore corporate market share and growth. The conclusion is that more financial mechanisms will be created and changed within US corporate systems to adjust, grow, and expand companies in the global economic arena, as the inevitable economic pattern leads to mergers, consolidations, and increasing cooperation and alliances among firms.

A Novel Packet Marking Function for Real-Time Interactive MPEG-4 Video Applications in a Differentiated Services Network

The future convergence of voice, video and data applications on the Internet requires that next generation technology provides bandwidth and delay guarantees. Current technology trends are moving towards scalable aggregate-based systems where applications are grouped together and guarantees are provided at the aggregate level only. This solution alone is not enough for interactive video applications with sub-second delay bounds. This paper introduces a novel packet marking scheme that controls the end-to-end delay of an individual flow as it traverses a network enabled to supply aggregate- granularity Quality of Service (QoS). IPv6 Hop-by-Hop extension header fields are used to track the packet delay encountered at each network node and autonomous decisions are made on the best queuing strategy to employ. The results of network simulations are presented and it is shown that when the proposed mechanism is employed the requested delay bound is met with a 20% reduction in resource reservation and no packet loss in the network.

Gene selection by cooperative competition clustering

Clustering analysis of data from DNA microarray hybridization studies is an essential task for identifying biologically relevant groups of genes. Attribute cluster algorithm (ACA) has provided an attractive way to group and select meaningful genes. However, ACA needs much prior knowledge about the genes to set the number of clusters. In practical applications, if the number of clusters is misspecified, the performance of the ACA will deteriorate rapidly. In fact, it is a very demanding to do that because of our little knowledge. We propose the Cooperative Competition Cluster Algorithm (CCCA) in this paper. In the algorithm, we assume that both cooperation and competition exist simultaneously between clusters in the process of clustering. By using this principle of Cooperative Competition, the number of clusters can be found in the process of clustering. Experimental results on a synthetic and gene expression data are demonstrated. The results show that CCCA can choose the number of clusters automatically and get excellent performance with respect to other competing methods.

An information approach to international currencies

Models of currency competition focus on the 5% of trading attributable to balance-of-payments flows. We introduce an information approach that focuses on the other 95%. Important departures from traditional models arise when transactions convey information. First, prices reveal different information depending on whether trades are direct or though vehicle currencies. Second, missing markets arise due to insufficiently symmetric information, rather than insufficient transactions scale. Third, the indeterminacy of equilibrium that arises in traditional models is resolved: currency trade patterns no longer concentrate arbitrarily on market size. Empirically, we provide a first analysis of transactions across a full market triangle: the euro, yen and US dollar. The estimated transaction effects on prices support the information approach.

The University Incubator: Insights in the Entrepreneurial Process from a Network Perspective

Research to date has identified incubator units as an effective mechanism for supporting the growth and development of small entrepreneurial firms. Advantages are gained not only from the provision of appropriate facilities and external managerial expertise on site, but also from the opportunity to develop entrepreneurial networks facilitated by the spatial proximity of incubator firms. Therefore, the research question upon which the paper is based investigates the impact of context, in other words the degree to which the networking opportunities provided by the university incubator support the small firm in its pursuit of sustainability and growth