Wonders.Net Online Shopping Platform: Adopting Online Shopping In Malaysia & Introducing A New Method Of Payment Gateway

Dengan perkembangan e-dagangan yang semakin pesat, penggunaan pembelian secara talian dikalangan orang Asia adalah masih terlalu rendah. Kajian ini menyelidik faktor-faktor yang mempengaruhi penglibatan orang ramai untuk membabitkan diri dalam urusan jual-beli dalam talian bagi kedua-dua pihak penjual dan pembeli. Berdasarkan hasil kajian kami, hanya 12.4% daripada responden merupakan mereka yang berpengalaman dalam urusan jual-beli dalam talian berbanding dengan 71.2% yang tidak berpengalaman. Kami mendapati kebimbangan responden adalah berkenaan keselamatan pembayaran, keyakinan, dan kebolehpercayaan terhadap para penjual dalam talian. For the continuous growth and development of e-commerce, Asian consumers' adoption of online shopping is very low. I experimentally investigate the factors that influence people to participate in global online shopping for both seller and buyer. Results of my survey indicate that only 12.4% respondents have experience in online shopping versus 71.2% who do not have any prior experience. I found that the respondents' major concerns are payment security, trustworthiness, and reliability of online vendors

Project-Team RMoD 2013 Activity Report

Activity Report 2013 Project-Team RMOD Analyses and Languages Constructs for Object-Oriented Application Evolutio

Quantum node portal- Devices and information management

An Internship in a European Company for developing a Web application-Domatica Global Solutions, Lisbon was undertaken to complete the Master’s Degree of Computer Engineering-Mobile Computing in the Polytechnic Institute of Leiria. The team Domatica deals with providing IoT solutions used for monitoring, controlling and collecting the data from the IoT gateways. The present work aims to develop a Web application for client’s side. The Web application named Quantum Node Portal is developed for the Devices and Information management. It provides access to the clients to their IoT gateways. Clients can monitor their devices, get various information, also can access the Portal for claiming their IoT gateways. The present work was developed using various technologies such as PHP framework named Laravel and several languages

Dynamic Data Extraction and Data Visualization with Application to the Kentucky Mesonet

There is a need to integrate large-scale database, high-performance computing engines and geographical information system technologies into a user-friendly web interface as a platform for data visualization and customized statistical analysis. We present some concepts and design ideas regarding dynamic data storage and extraction by making use of open-source computing and mapping technologies. We implemented our methods to the Kentucky Mesonet automated weather mapping workflow. The main components of the work flow includes a web based interface, a robust database and computing infrastructure designed for both general users and power users such as modelers and researchers

SEMANTICALLY INTEGRATED E-LEARNING INTEROPERABILITY AGENT

Educational collaboration through e-learning is one of the fields that have been worked on since the emergence of e-learning in educational system. The e-learning standards (e.g. learning object metadata standard) and e-learning system architectures or frameworks, which support interoperation of correlated e-learning systems, are the proposed technologies to support the collaboration. However, these technologies have not been successful in creating boundless educational collaboration through e-learning. In particular, these technologies offer solutions with their own requirements or limitations and endeavor challenging efforts in applying the technologies into their elearning system. Thus, the simpler the technology enhances possibility in forging the collaboration. This thesis explores a suite of techniques for creating an interoperability tool model in e-learning domain that can be applied on diverse e-learning platforms. The proposed model is called the e-learning Interoperability Agent or eiA. The scope of eiA focuses on two aspects of e-learning: Learning Objects (LOs) and the users of elearning itself. Learning objects that are accessible over the Web are valuable assets for sharing knowledge in teaching, training, problem solving and decision support. Meanwhile, there is still tacit knowledge that is not documented through LOs but embedded in form of users' expertise and experiences. Therefore, the establishment of educational collaboration can be formed by the users of e-learning with a common interest in a specific problem domain. The eiA is a loosely coupled model designed as an extension of various elearning systems platforms. The eiA utilizes XML (eXtensible Markup Language) technology, which has been accepted as the knowledge representation syntax, to bridge the heterogeneous platforms. At the end, the use of eiA as facilitator to mediate interconununication between e-leaming systems is to engage the creation of semantically Federated e-learning Community (FeC). Eventually, maturity of the FeC is driven by users' willingness to grow the community, by means of increasing the elearning systems that use eiA and adding new functionalities into eiA

Investigation of a hierarchical context-aware architecture for rule-based customisation of mobile computing service

The continuous technical progress in mobile device built-in modules and embedded sensing techniques creates opportunities for context-aware mobile applications. The context-aware computing paradigm exploits the relevant context as implicit input to characterise the user and physical environment and provide a computing service customised to the contextual situation. However, heterogeneity in techniques, complexity of contextual situation, and gap between raw sensor data and usable context keep the techniques from truly integration for extensive use. Studies in this area mainly focus on feasibility demonstration of the emerging techniques, and they lack general architecture support and appropriate service customisation strategy. This investigation aims to provide general system architecture and technical approaches to deal with the heterogeneity problem and efficiently utilise the dynamic context towards proactive computing service that is customised to the contextual situation. The main efforts of this investigation are the approaches to gathering, handling, and utilising the dynamic context information in an efficient way and the decision making and optimisation methods for computing service customisation. In brief, the highlights of this thesis cover the following aspects: (1) a hierarchical context-aware computing architecture supporting interoperable distribution and further use of context; (2) an in-depth analysis and classification of context and the corresponding context acquisition methods; (3) context modelling and context data representation for efficient and interoperable use of context; (4) a rule-based service customisation strategy with a rule generation mechanism to supervise the service customisation. In addition, feasibility demonstration of the proposed system and contribution justification of this investigation are conducted through case studies and prototype implementations. One case study uses mobile built-in sensing techniques to improve the usability and efficiency of mobile applications constrained by resource limitation, and the other employs the mobile terminal and embedded sensing techniques to predict users’ expectations for home facility automatic control. Results demonstrate the feasibility of the proposed context handling architecture and service customisation methods. It shows great potential for employing the context of the computing environment for context-aware adaptation in pervasive and mobile applications but also indicates some underlying problems for further study

Bot Federation: Skill Delegation Feature for Wit Bot Engine

Messaging applications are used on a daily basis for communication between people around the globe. Even though the main purpose of this type of application is to provide a service where people can join in order to interact with one another, it has evolved since and automated conversation has grown. This type of automated conversation is only possible through the implementation of intelligent agents called chatbots. The chatbots objective is to mimic user behavior in order to understand and reply to a given user input. This project aims to further improve the already existing mechanisms for this chatbots so that they can interact with other chatbots so that users can, in a single conversation, have access to multiple chatbots. This is possible through the implementation of a series of features that allow chatbot creators to create groups of chatbots, called federations, and delegate the conversation from one chatbot to another chatbot available in a federation. This approach aims to reduce the number of failed responses and at the same time prevent the user’s frustration because if a chatbot cannot answer, the user needs to find and open a conversation with a chatbot that can answer. Every chatbot has a series of tasks and knowledge that he can use to answer user questions, but there is always a reduced scope so that the chatbot can perform at his best. This solution’s objective is to keep this approach of reduced scopes for better performance, but every chatbot can contribute with his knowledge by lending his services to another chatbot

ACHIEVING AUTONOMIC SERVICE ORIENTED ARCHITECTURE USING CASE BASED REASONING

Service-Oriented Architecture (SOA) enables composition of large and complex computational units out of the available atomic services. However, implementation of SOA, for its dynamic nature, could bring about challenges in terms of service discovery, service interaction, service composition, robustness, etc. In the near future, SOA will often need to dynamically re-configuring and re-organizing its topologies of interactions between the web services because of some unpredictable events, such as crashes or network problems, which will cause service unavailability. Complexity and dynamism of the current and future global network system require service architecture that is capable of autonomously changing its structure and functionality to meet dynamic changes in the requirements and environment with little human intervention. This then needs to motivate the research described throughout this thesis. In this thesis, the idea of introducing autonomy and adapting case-based reasoning into SOA in order to extend the intelligence and capability of SOA is contributed and elaborated. It is conducted by proposing architecture of an autonomic SOA framework based on case-based reasoning and the architectural considerations of autonomic computing paradigm. It is then followed by developing and analyzing formal models of the proposed architecture using Petri Net. The framework is also tested and analyzed through case studies, simulation, and prototype development. The case studies show feasibility to employing case-based reasoning and autonomic computing into SOA domain and the simulation results show believability that it would increase the intelligence, capability, usability and robustness of SOA. It was shown that SOA can be improved to cope with dynamic environment and services unavailability by incorporating case-based reasoning and autonomic computing paradigm to monitor and analyze events and service requests, then to plan and execute the appropriate actions using the knowledge stored in knowledge database