To develop a new mineral carbonation process that have a high efficiency in CO2 absorption into industry slag using low energy mechanical milling

Increase in the CO2 emission in atmosphere due to the combustion of fossil fuels has caused serious global warming. Electricity generation, tranportation, and industrial waste are the main sectors indentified to contribute to the emission of CO2 in Malaysia. In dealing with this issue, the absorption of CO2 into industrial waste was experimentally studied by the utilization of mechanical grinding method. This research is to aim a development of new mineral carbonation process that has a high efficiency in the capture and storage of CO2 with low energy consumption. In the first stage of this study, the behavior of CO2 absorption on electric arc furnace and ladle furnace slag was studied by low energy mechanical milling It was found that the absorption is occured during milling. CO2 was stored into the slag mainly as CaCO3. Thus this indicates that the CO2 can be stored permanently inside the slag with this method. In the next stage, the effect of dissolution of metal element into water on the behavior of CO2 absorption was investigated by leaching test experiment. It was found that , concentration value of Fe in pure water is higher but in river water the concentration is lower, the dissolve concentration decreased with the increased in the number of the leaching time. Concentration will be increased at the earlier stage before it decreased at final of concentration. This case because the liquid became saturated and cannot be to dissolved. After the pH steeply increased gradually at an early stage of the elution of slag, it slightly decreased. The pH decreased with the increased in the number of elution. The changes of pH in leaching test it seemed to depend on the content of CaO in the slag. For mechanism of CO2 absorption, morphological change of slag were study and the slag were characteried by using XRD, FE-SEM, and EDS

Multi-agent reinforcement learning for route guidance system

Nowadays, multi-agent systems are used to create applications in a variety of areas, including economics, management, transportation, telecommunications, etc. Importantly, in many domains, the reinforcement learning agents try to learn a task by directly interacting with its environment. The main challenge in route guidance system is to direct vehicles to their destination in a dynamic traffic situation, with the aim of reducing travel times and ensuring efficient use of available road network capacity. This paper proposes a multi-agent reinforcement learning algorithm to find the best and shortest path between the origin and destination nodes. The shortest path such as the lowest cost is calculated using multi-agent reinforcement learning model and it will be suggested to the vehicle drivers in a route guidance system. The proposed algorithm has been evaluated based on Dijkstra's algorithm to find the optimal solution using Kuala Lumpur (KL) road network map. A number of route cases have been used to evaluate the proposed approach based on the road network problems. Finally, the experiment results demonstrate that the proposed approach is feasible and efficient

Surface engineering of Ti-6Al-4V by nitriding and powder alloying using a CW CO2 laser

A comparison has been made of the laser processing of Ti-6Al-4V (IMI-318) alloy by (a) nitriding under a dilute atmosphere, (b) preplaced 6 µm SiC powder and (c) a combination of (a) and (b). At least six laser tracks were overlapped. Microhardness maps allowed details of the variation in hardness with both melt depth and track number to be determined. The microstructure was characterised and related to the processing parameters, melt track dimensions, hardness and roughness data. It was found that the preheat generated due to the overlapping, influenced the individual track dimensions, microstructure and properties, which were also affected by the laser energy density and the nitrogen concentration in the nitriding atmosphere used in processing. Process (b) was shown to produce the smoothest surfaces, with Ra values <2μm, whilst (c) gave the highest Ra, value, 8.6 μm. These results are considered together with a wide range of data in the literature on laser processed Ti-6Al-4V

The dominant of Bloggers in Malaysian politics through social networks

Every country in this world has own political issues. In Malaysia for example, political issues played an important role that can influence other factors such as social and economy. As we all know, political factor can give positive and negative effect to a situation in Malaysia. The frequent usage of computer nowadays by Malaysian people helps in spreading information and news about political situation in Malaysia through cyberspace. In this paper, we use web mining system with Artificial Immune System (AIS) to regain a small group of relevant websites and webpages on political issues in Malaysia. To analyze the relationship between website and webpages, the concept of social networks will be used. Result from the web mining system with AIS will be used to understand the impact of social network to the political situation in Malaysia

SMS Management System for Direct Sales and Network Marketing

SMS management system in direct sales and network marketing is a concept of integrating information system with mobile phone as well as using short message service (SMS) as a medium of communication in the business process of direct sales and network marketing sector. Direct sales and network marketing sector is a business phenomenon which expanding rapidly within these few years and it will keep on expanding. To deal with the large members and distributors joining the company, the management of these companies started to seek for new direction in upgrading the relationship management between the company and the distributors. This is important when the low cost and time saving SMS is introduce to these direct selling companies. With the intention of enhancing the connection between distributors is an opportunity to integrate SMS system in the management system in this industry. In this paper, we have analyzed how the SMS will play an important role in the business process by allowing the end user and the company will benefit from its simple and cost saving

An architecture for a focused trend parallel web crawler with the application of clickstream analysis

The tremendous growth of the Web poses many challenges for all-purpose single-process crawlers including the presence of some irrelevant answers among search results and the coverage and scaling issues regarding the enormous dimension of the World Wide Web. Hence, more enhanced and convincing algorithms are on demand to yield more precise and relevant search results in an appropriate amount of time. Since employing link based Web page importance metrics within a multi-processes crawler bears a considerable communication overhead on the overall system and cannot produce the precise answer set, employing these metrics in search engines is not an absolute solution to identify the best search answer set by the overall search system. Thus considering the employment of a link independent Web page importance metric is required to govern the priority rule within the queue of fetched URLs. The aim of this paper is to propose a modest weighted architecture for a focused structured parallel Web crawler which employs a link independent clickstream based Web page importance metric. The experiments of this metric over the restricted boundary Web zone of our crowded UTM University Web site shows the efficiency of the proposed metric

DETERMINANTS OF STUDENTS’ PERFORMANCE IN MANAGEMENT ACCOUNTING

Final examination results of Management Accounting in November 2009 were found to be poor with the failure rate of more than 40 percent. This triggers the question of what factors that may contributes to the failure. Therefore, the purpose of the study is to investigate empirically factors that may affect the poor performance of 44 students of Management Accounting from two programmes that are Diploma in Accountancy (AC110) and Diploma in Accounting Information System (AC120) in UiTM Perlis. Multiple regression was estimated using Ordinary Least Square in testing the significance of gender, program, prerequisite fulfilment, previous GPA, absenteeism, hours of attending early topics in Management Accounting, and part of studies. Results showed the number of hours attending lecture for early topics in Management Accounting and pre GPA are positively and significantly related to the score of management Accounting. On the other hand, absenteeism and students in higher parts are significantly and negatively associated with the score. The estimated results also indicated that students from AC110 performed significantly better than those in AC120. In addition students that fulfilled prerequisite costing paper performed much better than those who took the papers concurrently. The findings imply that prerequisite provide students with minimum level of understanding, thus create better chances of accomplishmentManagement accounting, prerequisite, academic performance

Web news classification using neural networks based on PCA

In this paper, we propose a news web page classification method (WPCM). The WPCM uses a neural network with inputs obtained by both the principal components and class profile-based features (CPBF). The fixed number of regular words from each class will be used as a feature vectors with the reduced features from the PCA. These feature vectors are then used as the input to the neural networks for classification. The experimental evaluation demonstrates that the WPCM provides acceptable classification accuracy with the sports news datasets

XRD and XPS studies of surface MMC layers developed by laser alloying Ti6Al4V using a combination of a dilute nitrogen environment and SiC powder

Using a continuous-wave CO2 laser, surface engineering of a Ti-6Al-4V alloy through a combined treatment of laser nitriding and SiC preplacement was undertaken. Under spinning laser beam conditions, a surface alloyed / metal matrix composite (MMC) layer over 300μm in depth and 24mm wide was produced in the alloy by the overlapping of 12 tracks. Microstructural and chemical changes were studied as a function of (a) depth in the laser formed composite layer and (b) of the track position. Using X- ray diffraction (XRD) and X-ray photospectrographic (XPS) techniques, it was shown that the composite layer contained a complex microstructure which changed with depth. At the surface, a non-stoichiometric, cubic TiNx solid solution ( possibly a carbonitride) containing C and Si , where x ≈ 0.65-0.8, was prominent, but was replaced by α′-Ti with increasing depth to 300μm. TiC phase was also identified, and the presence of TiN0.3 and Ti5Si3 phases considered a distinct possibility.

A model of case implementation and an experience of unsuccessful case adoption

Computer-Aided Software Engineering (CASE) is a revolutionary technology that seeks to automate the software development process. Current literature reports on many successes of CASE adoption Despite of such successes, many organisations are experiencing difficulties in implementing CASE technology . Even many powerful CASE tools have become 'shelfware'. It is argued that the benefits of CASE are unlikely to be realised, unless it is introduced based on a sound implementation plan This article presents a conceptual model to introduce CASE technology within a MIS department Such a plan faciliiaus change in software culture and management practice and enables management to deal with confusion and skepticism prior to its occurrence. Furthermore, a case study is described that focuses on a CASE implementation that failed to achieve its purpose The reasons for the failure are critically examined and explained in the light of the model