Semantics based image retrieval techniques show a promising direction to the development of CBIR systems. To design such systems, semantics modeling is one of the most difficult tasks. This paper aims to develop a sem...
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Semantics based image retrieval techniques show a promising direction to the development of CBIR systems. To design such systems, semantics modeling is one of the most difficult tasks. This paper aims to develop a semantics modeling approach using neural networks. In our work, a neural network is utilized to memorize the semantic patterns within the images. An intelligent image retrieval system is designed based on this model. User's relevance feedback is used for enhancing the retrieval performance. Experimental results from the prototype system demonstrate the effectiveness of the proposed approach.
Forecasting is one of the most important elements of supply chain management (SCM). Propagation and magnification of errors in forecasting is a common problem in SCM arena. The main cause of this bullwhip effect is th...
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Forecasting is one of the most important elements of supply chain management (SCM). Propagation and magnification of errors in forecasting is a common problem in SCM arena. The main cause of this bullwhip effect is the distortion of information from one end of the supply chain to the other. We propose a model for collaborative forecasting, and logistic management through the use of Web services, which in turn integrate legacy systems across the whole supply chain, intelligent agents are utilized for communication between supply chain partners. They make their decisions according to the set rules of an organization along with some algorithms for making the supply chain more efficient. Our architecture is adaptive and extensible as it can be extended to add functionalities when and where required.
In this paper, we propose an approach to treat business logics and system logics separately. Using the proposed model, we can ensure that for any set of facts, business rules are applied efficiently and consistently. ...
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In this paper, we propose an approach to treat business logics and system logics separately. Using the proposed model, we can ensure that for any set of facts, business rules are applied efficiently and consistently. In our model, it is also feasible to introduce new rules into any business process, where each process depends upon some specific rules, policies, procedures and standards. As a result, business processes can be automated in a more customizable, flexible, efficient and reusable way. In the paper, we use a vehicle reservation system as an example to illustrate how our proposed approach can be implemented.
A number of techniques have recently been developed which aim to increase the performance of transport and application layer protocols when used over links that exhibit high bit error rates and large propagation delay...
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A number of techniques have recently been developed which aim to increase the performance of transport and application layer protocols when used over links that exhibit high bit error rates and large propagation delays. However, many of these techniques become useless when a network layer security protocol is used, due to the network payload being protected from observation and/or manipulation. The multilayer IP security (ML-IPsec) protocol has been proposed as a way to overcome this problem, allowing performance enhancing technologies to be used whilst providing network layer security. ML-IPsec has a number of problems that reduce its effectiveness and cause configuration complexities. This paper identifies these problems and proposes modifications to ML-IPsec, aiming to rectify the issues, whilst embracing the key features and benefits of this multilayer security protocol.
This paper presents a framework for building rule-based image retrieval (RBIR) systems. Soft computing based multimedia data mining techniques are employed to extract and optimize fuzzy rules that infer semantic conce...
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This paper presents a framework for building rule-based image retrieval (RBIR) systems. Soft computing based multimedia data mining techniques are employed to extract and optimize fuzzy rules that infer semantic concepts for image retrieval. Using fuzzy inference system (FIS), a novel RBIR system with semantic query is developed. Experimental results on an artificial image database are reported.
It is crucial for a company to build their business model in such a way that if it needs to adapt new changes then it has enough flexibility to adapt their system without redesigning the whole business model. The busi...
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It is crucial for a company to build their business model in such a way that if it needs to adapt new changes then it has enough flexibility to adapt their system without redesigning the whole business model. The business model needs to be flexible, adaptive, and integrated. Not only the system processes but also cultural and business strategies have to be coherent. This approach allows a company to handle any change in a much more adaptive way to compete in the market. In this paper, we proposed a step-by-step approach to define a new adaptive business model and based on our model, we present a scenario-based implementation as proof of concept.
TCP New Vegas is an implementation of TCP Vegas with three sender-side modifications that increase the protocol's performance, especially when used over long delay networks. Whilst these modifications have been sh...
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TCP New Vegas is an implementation of TCP Vegas with three sender-side modifications that increase the protocol's performance, especially when used over long delay networks. Whilst these modifications have been shown to provide significant performance gains, a number of unresolved problems continue to impact performance. This paper details research undertaken to address these issues and proposes two new modifications along with an alternate version of the rapid window convergence algorithm.
Every action a business process performs must be explicitly anticipated, designed for and implemented by business professionals. The business process is dependent upon business rules (BR) to achieve its objectives, wh...
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Every action a business process performs must be explicitly anticipated, designed for and implemented by business professionals. The business process is dependent upon business rules (BR) to achieve its objectives, which also involve pre and post business process conditions. Most business rules (and laws) are buried in data warehouses as raw data. Incorporating the business rules into any business process is very complex, in terms of customisation, reuse, and system integration. Most of the current techniques implement these rules directly into business processes (BP). This results in the BP becoming even more complicated and harder to customise. To overcome this problem we propose an agent oriented framework. In our proposed framework, we automate the process of incorporating BR into BP. The proposed agent is able to act without the intervention of humans or other systems. This agent creates a bridge between components of the business structure, the business rules and the business process. The proposed agents also have control over their own internal states and behaviour, which leads to an autonomous system.
Every activity has some Risk involved in it. Analyzing the Risk involved in a transaction is important to decide whether to proceed with the transaction or not. Similarly in Peer-to-Peer communication analyzing the Ri...
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Risk is associated with almost every activity that is undertaken on a daily life. Risk is associated with Trust, Security and Privacy. Risk is associated with transactions, businesses, information systems, environment...
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