Automated prognostic tool for cervical cancer patient database

We propose an application, which is developed to assist doctors who treat cervical cancer. The application has a number of features that the previous diagnostic system lacks; particularly, the ability to classify the current stage of cancer from an input pattern. The other features are first the capability of searching for patients whose stages of cancer are the same as the stage of cancer classified from the above input pattern. Second, the ability to search for patients whose considered parameters are similar to the parameters that make up the input pattern. The last feature is to keep the functionality of the previously used system; that is, the capability to retrieve, and display information of patients from a specified patient number. This paper explains the architecture, design, and implementation of the application. The approach employed to classify the stages of cancer is that of a multilayer feed-forward neural networks. Experiments of investigating the architecture of the neural networks to perform the classification task are also given

A dihedral angle database of short sub-sequences for protein structure prediction

Protein structure prediction is considered to be the holy grail of bioinformatics. Ab initio and homology modelling are two important groups of methods used in protein structure prediction. Amongst these, ab initio methods assume that no previous knowledge about protein structures is required. On the other hand homology modelling is based on sequence similarity and uses information such as classification, structure, sequence and dihedral angles for prediction.Even though there are many databases for structural and sequence information, there are not many databases for dihedral angles that store all occurring dihedral values of sub-sequences. The existing ones have limitations like not being able to retrieve dihedral values for amino acids of a specific sub-sequence or being designed only for a specific set of proteins based on sequence identity (proteins with < 20% sequence identity). They hence have disadvantages when used in protein structure prediction based on short sub-sequences and exact matches. This paper presents a dihedral angle database for short sub-sequences up to length five. In this database dihedral angles of all proteins were extracted from the Protein Data Bank (PDB) regardless of the percent of sequence similarity. This paper also shows how the database can be used for protein structure prediction using exact matches

A novel algorithm for mapping parallel applications in computational grid environments

This work explains a heuristic algorithm, task self mapping algorithm (TSMA), for mapping parallel applications in computational grids. The strategy of the algorithm is that each task of a parallel application has an associated execution cost, which is the execution cost of the processor on which the task maps, and each of them minimises its associated execution cost by mapping itself on a new processor. While each task is optimising its execution cost also means that the application execution cost is being optimised. Experimental results have shown that TSMA produces better mapping solutions than graph partitioning based mapping algorithms

Homology based structure extractor for protein structure prediction

The problem of protein structure prediction is one of the most complex problems in structural biology. The three groups of methods that attempt protein structure prediction are Homology modeling, Threading and Ab initio modeling. To predict the structure of a protein, homology modeling methods use structure details of proteins that are homologous to the query protein sequence. Two proteins are said to be homologous, if they are derived from the same ancestor and hence in most cases share similar structure and functions. In this paper we present a HOMology based structure EXtraction tool (HOMEX) that provides for a query sequence, the three-dimensional structure details of its homologous matches. The results provided by this tool can be used in homology based protein structure prediction methods to assign structure values of amino acids of the query sequence and can also be used in designing automated homologous modeling methods. HOMEX uses FASTA to search for homologous protein sequences and uses a specially designed dihedral angle database to extract structure details. To demonstrate the use of HOMEX in homology based protein structure prediction, we compared the results of HOMEX with the results of querying two different structure databases

Web Services and Model-Driven Enterprise Information Systems: Proceedings of the Joint Workshop on Web Services and Model-Driven Enterprise Information Services, WSMDEIS 2005

Web services and Model-driven development are two emerging research fields and have been receiving a lot of attention in the recent years. New approaches on these two areas can bring many benefits to the development of information systems, distribution flexibility, interoperability, maintainability and portability. Nevertheless, these emerging fields pose new promising challenges to the research community. Some of the current challenges in the web services field are service composition, support for quality of service, security and integration of legacy systems; in the model-driven development field are the mappings between metamodels, model transformations, semantic distance and traceability. This volume contains the Proceedings of the 3rd International Workshop on Web Services: Modeling, Architecture and Infrastructure (WSMAI 2005), and the Proceedings of the First International Workshop on Model-Driven Enterprise Information Systems (MDEIS 2005). WSMAI 2005 and MDEIS 2005 aim at serving as a forum for researchers and practitioners to meet and share expertise in the fields of Web services and Model-driven development, respectively. WSMAI 2005 has received fifteen papers; nine papers were accepted for regular oral presentation and three papers were accepted as posters. MDEIS 2005 has received ten papers; five papers were accepted for regular oral presentation and three papers were accepted as posters. We would like to take this opportunity to thank the people who have contributed to WSMAI 2005 and MDEIS 2005. We would like to thank the members of the WSMAI 2005 and MDEIS 2005 Program Committees for the terrific job they did in evaluating papers and the authors for their paper contributions in shaping the final programs. Finally, special thanks to Joachim Filipe and Vitor Pedrosa for their hard work in making the workshops and this volume possible. We wish you an exciting, fruitful workshop, and an unforgettable stay in the lovely city of Miami. Workshop Chairs – WSMDEIS 2005 Savitri Bevinakoppa Royal Melbourne Institute of Technology Australia Luís Ferreira Pires CTIT, University of Twente The Netherlands Slimane Hammoudi ESEO, Angers Franc

Effectiveness of problem based learning implementation

Problem based learning (PBL) exercises have been proven to be an effective teaching method for preparing the students as work ready graduates. Students work on a real world industry based problem of relevant discipline. It also help students to improve their capability of critical analysis. PBL has been adopted in educational practise in many disciplines. In this paper, we explore the various existing PBL practices, develop, implement a model and analyse the effectiveness of the implementation. This paper explains few exemplars of PBL, their implementation method and analysis of students’ feedback. Paper concludes with the direction of our future work.Problem based learning (PBL) exercises have been proven to be an effective teaching method for preparing the students as work ready graduates. Students work on a real world industry based problem of relevant discipline. It also help students to improve their capability of critical analysis. PBL has been adopted in educational practise in many disciplines. In this paper, we explore the various existing PBL practices, develop, implement a model and analyse the effectiveness of the implementation. This paper explains few exemplars of PBL, their implementation method and analysis of students’ feedback. Paper concludes with the direction of our future work.Associated Grant:Teaching and Learning grants of Melbourne Institute of Technology(MIT), Melbourn

Effectiveness of problem based learning implementation

Problem based learning (PBL) exercises have been proven to be an effective teaching method for preparing the students as work ready graduates. Students work on a real world industry based problem of relevant discipline. It also help students to improve their capability of critical analysis. PBL has been adopted in educational practise in many disciplines. In this paper, we explore the various existing PBL practices, develop, implement a model and analyse the effectiveness of the implementation. This paper explains few exemplars of PBL, their implementation method and analysis of students’ feedback. Paper concludes with the direction of our future work.Problem based learning (PBL) exercises have been proven to be an effective teaching method for preparing the students as work ready graduates. Students work on a real world industry based problem of relevant discipline. It also help students to improve their capability of critical analysis. PBL has been adopted in educational practise in many disciplines. In this paper, we explore the various existing PBL practices, develop, implement a model and analyse the effectiveness of the implementation. This paper explains few exemplars of PBL, their implementation method and analysis of students’ feedback. Paper concludes with the direction of our future work

Performance analysis of Internet of Things sensor architectures and security primitives

The paper presents performance analysis of centralised and decentralised architecture of IoT sensor networks. Two most popular security mechanisms for Sensor Networks based on their energy consumption, which may lead to poor performance of the IoT system, are also evaluat-ed. The Internet of Things (IoT) technology aims to improve easy access to the information needed using devices. It has been adopted by many time sensitive systems like self-driving car, automated traffic control system and so on. However, more study requires to understand per-formance level of possible IoT architectures over others. This paper explains different IoT sen-sor network architectures and models decentralised Wireless Senor Networks (WSN) architec-ture. Simulation of these architectures and their popular security primitives are compared in terms of their performance. This study can be a great resource to develop an efficient IoT ar-chitecture and security framework with better performance