The comprehensive identification of functional transcription factor binding sites (TFBSs) is an important step in understanding complex transcriptional regulatory networks. This study presents a motif-based comparative approach, STAT-Finder, for identifying functional DNA binding sites of STAT3 transcription factor. STAT-Finder combines STAT-Scanner, which was designed to predict functional STA...

Tourism is the world’s largest and fastest growing industry. There are conventional tourism service providers which are competitively trying to provide the best travel services to customers based on their interests. The Semantic Web is a major endeavour to enhance the Web by enriching its content with semantic (meta)data that can be processed by inference-enabled Web applications. eTourism is a...

To build a simulated robot that follows route instructions in unconstrained natural language, we propose a frame-segment decoding algorithm that achieves two joint tasks: (1) Segment the route instruction so that the sequence of segments corresponds to a sequence of actions required to complete the task, and (2) Choose the slot fillers of the frame-based knowledge representation for each action...

Vehicular Adhoc Network (VANET) is becoming a focusing point in researcher communities. Due to various kinds of applications including safety driving, parking lot finder, real-time route finder, it is becoming popular in recent years. Safety applications based on vehicular network communication are a major aspect of future innovation. VANET provides vehicle-to-vehicle (V2V) and vehicle-to-infra...

MOTIVATION One of the limiting factors in deciphering transcriptional regulatory networks is the effectiveness of motif-finding software. An emerging avenue for improving motif-finding accuracy aims to incorporate generalized binding constraints of related transcription factors (TFs), named familial binding profiles (FBPs), as priors in motif identification methods. A motif-finder can thus be '...

This paper addresses the problem of selecting route to a given destination on a load map under a dynamic environment. The proposed solution is using a genetic algorithm adopting viral infection. The method is to use viruses as domain specific knowledge. A part of an arterial road is regarded as a virus. We generate a population of viruses in addition to a population of routes. Crossover and inf...

This paper targets the content selection problem in generating appropriate information in the domain of in-car navigation. It describes an algorithm that models driver’s knowledge about roads and routes and uses this knowledge to tailor turn-by-turn instructions from a commercial routing service to those more suitable to the individual driver’s background. This content selection component is on...

guiding vehicles to their destination under dynamic traffic conditions is an important topic in the field of intelligent transportation systems (its). nowadays, many complex systems can be controlled by using multi agent systems. adaptation with the current condition is an important feature of the agents. in this research, formulation of dynamic guidance for vehicles has been investigated based...

The Linked Data cloud has grown to become the largest knowledge base ever constructed. Its size is now turning into a major bottleneck for many applications. In order to facilitate access to this structured information, this paper proposes an automatic sampling method targeted at maximizing answer coverage for applications using SPARQL querying. The approach presented in this paper is novel: no...

In Cloud Computing Architecture, Brokers are responsible to provide services to the end users. An Effective Cost Management System (ECMS) which works over Secure Cloud Communication Paradigm (SCCP) helps in finding a communication link with overall minimum cost of links. We propose an improved Broker Cloud Communication Paradigm (BCCP) with integration of security issues. Two algorithms are inc...