Mobile agent routing for query retrieval using genetic algorithm

Mobile agents often have a task to collect data from several predefined sites.This should be done in an efficient way by minimizing the elapsed time.Usually these agents only know the list of sites but not the distances between them.This paper proposes a method to minimize a network routing time taken by the mobile agents to collect information from different sites using genetic algorithm (GA).The mobile agents repeat travelling over short routes and avoid longer ones.Mobile agents for query retrieval have used the GA to select the best routes that minimize the query retrieval time.The result shows that the proposed method provides good time minimization in retrieving the query results by the mobile agents based on different GA parameters

Optimization and validation of a HPLC method for simultaneous determination of aflatoxin B1, B2, G1, G2, ochratoxin A, and zearalenone using experimental design.

A reversed-phase HPLC optimization strategy is presented for investigating the separation and retention behavior of aflatoxin B 1, B 2, G 1, G 2, ochratoxin A and zearalenone, simultaneously. A fractional factorial design (FFD) was used to screen the significance effect of seven independent variables on chromatographic responses. The independent variables used were: (X1) column oven temperature (20-40°C), (X2) flow rate (0.8-1.2 ml/min), (X3) acid concentration in aqueous phase (0-2%), (X4) organic solvent percentage at the beginning (40-50%), and (X5) at the end (50-60%) of the gradient mobile phase, as well as (X6) ratio of methanol/acetonitrile at the beginning (1-4) and (X7) at the end (0-1) of gradient mobile phase. Responses of chromatographic analysis were resolution of mycotoxin peaks and HPLC run time. A central composite design (CCD) using response surface methodology (RSM) was then carried out for optimization of the most significant factors by multiple regression models for response variables. The proposed optimal method using 40°C oven temperature, 1 ml/min flow rate, 0.1% acetic acid concentration in aqueous phase, 41% organic phase (beginning), 60% organic phase (end), 1.92 ratio of methanol to acetonitrile (beginning) and 0.2 ratio (end) for X1-X7, respectively, showed good prediction ability between the experimental data and predictive values throughout the studied parameter space. Finally, the optimized method was validated by measuring the linearity, sensitivity, accuracy and precision parameters, and has been applied successfully to the analysis of spiked cereal samples

A modified scout bee for artificial bee colony algorithm and its performance on optimization problems

The artificial bee colony (ABC) is one of the swarm intelligence algorithms used to solve optimization problems which is inspired by the foraging behaviour of the honey bees. In this paper, artificial bee colony with the rate of change technique which models the behaviour of scout bee to improve the performance of the standard ABC in terms of exploration is introduced. The technique is called artificial bee colony rate of change (ABC-ROC) because the scout bee process depends on the rate of change on the performance graph, replace the parameter limit. The performance of ABC-ROC is analysed on a set of benchmark problems and also on the effect of the parameter colony size. Furthermore, the performance of ABC-ROC is compared with the state of the art algorithms

Flexible Framework For A Web Transactional Application

Software development project becomes difficult because of the complexity in the business requirements, rigid framework and unpredictable performance. These cause difficulties to deliver the software on time, to maintain it and to adapt to new requirements. This research proposes a Web-Based Transactional Application Architecture Framework (WTBF) to simplify the development of a complex software project by using template approach that contains assembled pieces of reusable software components. The framework provides a generalized component-based architectural template that can be reused by the users (software developer and an independent software vendor) to develop multi-tier transactional applications within a specific domain or for a new software project. One of its significant benefits is that users can concentrate on their business components development tasks instead of spending time on redeveloping basic software infrastructure from the scratch. The WTBF framework is developed by using the Java 2 Technology and the Model View Controller (MVC) is used for the architectural model

A review of recent methodologies, technologies and usability in English language content delivery

English Language Teaching (ELT) and content delivery have undergone vast shift in this era of modernization. With analogue content digitized as a common form of knowledge delivery, methodologies equipped with current technologies have produced new perspectives on English Language Learning. This paper reviews the status, context, teaching parameters, assessment parameters, teaching strategies and usability in the current research capacity of ELT, highlighting the current works with technologies in their content delivery methods. Emerging technologies in ELT has also inspires the other spectrum of study involving the usability of technological interfaces, which has evolved constantly with the progression of human and computer interactivity. The aim of this research is to rediscover usability evolution surrounding the technologies in ELT and to redefine the gap existed in between English learning and tools interactivity. Current technologies and usability measures used in ELT will be discussed, highlighting the current trends in gauging interface interaction. A summary of comparative results in the aforementioned works will also be highlighted in this review paper, together with the categorization of reviewed parameters, variables and metrics in ELT. The reviews conducted have shown that there are still many unexplored areas in ELT, ELT technologies and usability in ELT

Assessing the Capability and Priority of Enterprise Architecture Implementation in Malaysian Public Sector

Enterprise Architecture (EA) is an integrated approach of information systems, processes, organisation and people in aligning business and information technology together. However, there is a discrepancy in public sector EA implementation whereby the developing countries are still grappling with issues in the implementation while those developed countries are already harvesting the EA benefits and value. Hence, this study aims to investigate the capability and priority of public sector of the developing countries in implementing the EA by proposing an assessment model. The assessment model is based on Balanced Scorecard (BSC) and Analytic Hierarchy Process (AHP) approach. There are 27 EAI capability and priority criteria identified and grouped into six categories according to BSC perspectives namely Internal Process, Learning and Growth, Authority Support, Cost, Technology and Talent Management. Followed by AHP pairwise comparison in calculating the rank of each criterion which is presented via three case studies from Malaysian Public Sector agencies

An evaluation on the efficiency of hybrid feature selection in spam email classification

In this paper, a spam filtering technique, which implement a combination of two types of feature selection methods in its classification task will be discussed. Spam, which is also known as unwanted message always floods our electronic mail boxes, despite a spam filtering system provided by the email service provider. In addition, the issue of spam is always highlighted by Internet users and attracts many researchers to conduct research works on fighting the spam. A number of frameworks, algorithms, toolkits, systems and applications have been proposed, developed and applied by researchers and developers to protect us from spam. Several steps need to be considered in the classification task such as data pre-processing, feature selection, feature extraction, training and testing. One of the main processes in the classification task is called feature selection, which is used to reduce the dimensionality of word frequency without affecting the performance of the classification task. In conjunction with that, we had taken the initiative to conduct an experiment to test the efficiency of the proposed Hybrid Feature Selection, which is a combination of Term Frequency Inverse Document Frequency (TFIDF) with the rough set theory in spam email classification problem. The result shows that the proposed Hybrid Feature Selection return a good result

Characterization and fat migration of palm kernel stearin as affected by addition of desiccated coconut used as base filling centre in dark chocolate

The characterization and fat migration of palm kernel stearin (PKS) and desiccated coconut, used as base filling centre in dark chocolate were studied. C36 and C38 triglycerides of PKS decreased by 11% and 9.6% respectively, whereas C32 and C34 increased by 97% and 48% respectively. The change in the triglycerides composition of PKS shift the melting point of PKS from 33.2 to 31.4°C. Solid fat content (SFC) of PK reduced by 40% at 30°C. The rate of fat migration was very slow at 18°C storage compared to 30°C. The rate of change of C36 in the chocolate layer was 0.1% week-1 and 1.2% week-1 at 18 and 30°C respectively. Chocolate stored at 18°C showed post hardening during storage period and withstood bloom during the storage period, whereas that stored at 30°C became soft and bloomed faster after 3 weeks of storage