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Publications
Publications (54)
Trend of Engineering system evolution (TESE) is a popular tool in the theory of inventive problem-solving (TRIZ). Because it is applicable in various domains, it has been extensively used in practical projects to develop engineering products and forecast new technologies. However, although its generic pattern makes it a versatile tool for inventing...
The widespread adoption of cyber-physical systems and other cutting-edge digital technology in manufacturing industry production facilities may motivate stakeholders to embrace the idea of Industry 4.0. Some industrial companies already have different sensors installed on their machines; however, without proper analysis, the data collected is not u...
Payment Channel Networks (PCN) form a class of techniques created to solve the scalability problems that permissionless blockchains such as Bitcoin face. The Lightning Network (LN) is the biggest PCN to date. As of September 2021, LN is an interconnected network with 27 thousand nodes and 71 thousand channels, representing a total payment capacity...
With the continuing economic growth of developing countries, the populations of their urban areas are increasing dramatically. In view of this trend, the optimization of bus service scheduling has become an important task. The efficiency of a transport system depends on several different planning processes, and the balance between these elements is...
Traffic congestion on a road results in a ripple effect to other neighbouring roads. Previous research revealed existence of spatial correlation on neighbouring roads. Similar traffic patterns with regards to day and time can be seen amongst roads in a neighbouring area. Presently, nonlinear models of neural network are applied on historical data t...
A data lake means there’s an immense data resource or repository. Data
lake stores enormous data and uses advanced analytics to pair data from various
sources with different types of structured, semi-structured and un-structured information. The lifeblood of a smart city is data. Effective data management is not limited
to data collection and stora...
Nowadays traffic congestion has become significantly worse. Not only has it led to economic losses, but also to environmental damages, wastage of time and energy, human stress and pollution. Generally, traffic congestion is a ripple effect of a road congestion on neighboring roads. When congestion occurs, it will propagate through the road network...
Many flood modelings use geovisualization techniques but are very complicated and can only be understood by researchers or practitioners. There is a need for modelings that are informative and can be understood by ordinary people for the purpose of disaster mitigation. This research analyzed a flood modeling geovisualization sample to find out the...
This article presented a research work to enhance one of the TRIZ tools: Trends of Engineering System Evolution (TESE) which is useful to assess the evolution direction of technical systems in 4th industrial revolution (4IR) for forecasting technological trends. TESE has hierarchical levels of multiple trends and sub-trends for forecasting the tech...
The Lighting Network (LN) is a network of micropayment channels that runs on top of Bitcoin. The balances of payment channels are not broadcasted to the LN network to preserve the privacy of the nodes participating in the network. A balance disclosure attack (BDA) has been proven to be successful in determining the balance of large amounts of chann...
Policy study on open data readiness in the education sector in Malaysia.
A chatbot is a software application aimed at simulating real-time conversations. This system has been designed to address a plethora of domains where they have proved themselves worthy to complement or in some areas replace human-based information acquisition. Though some domains like travel and food have advanced with the growing consumer demand,...
For decades, various algorithms to predict traffic flow have been developed to address traffic congestion. Traffic congestion or traffic jam occurs as a ripple effect from a road congestion in the neighbouring area. Previous research shows that there is a spatial correlation between traffic flow in neighbouring roads. Similar traffic pattern is obs...
The Lighting Network (LN) is a network of micropayment channels that runs on top of Bitcoin. The balances of payment channels are not broadcasted to the LN network to preserve the privacy of the nodes participating in the network. A balance disclosure attack (BDA) has been proven to be successful in determining the balance of large amount of channe...
This qualitative and ethnographic study examines how interactions embedded in the Collaborative Computational Thinking Design Practices (CCTDP) framework, has helped rural children think to solve STEM related open ended problems in English lessons. Our multimodal interactive approach revealed that students naturally has an orientation to problem so...
Traffic congestion or traffic jam occurs as a ripple effect from a road congestion in the neighbouring area. Previous studies show that spatial correlation is exist between roads in neighbouring roads. There is similar traffic pattern observed between roads in a neighbouring area with respect to day and time. Nowadays, various machine learning mode...
Information technology plays an important role in the daily life of the community. Various challenges of technology use such as the use of technology will affect digital communications. The main purpose of this study is to understand the acceptance of technology and the issues faced by rural communities that include seniors in today's technology. T...
As the genome sequencing cost becomes more affordable, genomics studies are extensively carried out to empower the ultimate healthcare goal which is the precision medicine. By tailoring each individual medical treatment through precision medicine, it will potentially lead to nearly zero occurrence of the drugs side effects and treatment complicatio...
Social and cultural context is largely missing in current language translation systems. Dictionary based systems translate terms in a source language to an equivalent term in a target language, but often the translation could be inaccurate when context is not taken into consideration, or when an equivalent term in the target language does not exist...
This paper is about the conceptual development of the Big Data Quality Framework for Malaysia’s Public Sector Open Data Initiative (My-PSODI). At the moment, there is a lack of Big Data Quality Framework in existence particularly that is focusing on the specific context and needs of Malaysia’s Public Sector Open Data initiative. Most of existing da...
Personalised medicine has been visualised as the ultimate healthcare practise, as the treatment will be customised to the patient’s need. This will eliminate the “one-for-all” approach, thus reducing the potential drug’s side effects, ineffective drug doses and severe complications due to unsuitable drugs prescribed. As the cost for genomics sequen...
Climate change is a pressing issue that has taken many countries to task in addressing this global concern. The public need an effective information channel in enhancing their awareness pertaining to the impacts of climate change. One of the most appropriate ways to convey such information is through the optimisation of 3D visualization media. This...
New innovations is unavoidable to persist in current world. Industries operate today, in a very challenging and complex environment with rapidly changing demanding and conditions. Thus, to play a significant role in the global market, it is essential to increase the impactful innovations, productivity and competitiveness in the development of new p...
Idea mining is a new and interesting field in the
areas of information retrieval research. The thoughts of people
are helpful to improve strategic decision making. This paper
demonstrates the efficient computational methods of idea
characterization based concept by extracting the interesting
hidden data from unstructured texts which come in many
fo...
This study aims to analyse user requirement for waterbodies data visualization to help decision making process for the water related issues. The preliminary survey has been conducted at National Hydraulic Research Institute of Malaysia (NAHRIM) as the case study of this research. The methodology used to gather this requirement is by conducting a su...
Innovation is the main way that leads the industries to attain high profit. There several methods and tools to assist designers systematically towards the generation of new ideas and problem solving and TRIZ is one of the methods. However, this assistance is not enough to generate a successful and impeccable product, because an ultimate actor, the...
Morphological analysis is used to study the internal structure words by reducing the number of vocabularies used while retaining the semantic meaning of the knowledge in NLP system. Most of the existing algorithms are focusing on stemmatization instead of lemmatization process. Even with technology advancement, yet none of the available lemmatizati...
World Wide Web provides vast of resources to the public. Currently, many researches have been done on resources sharing among users through implementation of ontologies. Knowledge in an ontology are represented in the form of triple(s-p-o), where concepts are brought together by a relation. In a situation where there is a need to represent a resour...
With the continued demand for Islamic knowledge, which is mainly based on the Quran as a source of knowledge and wisdom, systems that facilitate an easy search of the content of the Quran remain a considerable challenge. Although in recent years there have been tools for Quran search, most of these tools are based on keyword search, meaning that th...
This paper discussed the idea of the computer system capable of simulating understanding with respect to reading a text document. The research is concerned with the problem of generating sophisticated knowledge representation for the purpose of understanding the natural language. Due to that, a simplification form of logical-oriented model of knowl...
In Cross-Language Information Retrieval (CLIR) process, the translation effects have a direct impact on the accuracy of follow-up retrieval results. In dictionary-based approach, we are dealing with the words that have more than one meaning which can decrease the retrieval performance if the query translation return an incorrect translations. These...
Cardiothoracic Intensive Care Units (CICU) patients require vigilant watchful and very strict monitoring of their conditions in real time. Accurate observation is required through bedside monitoring devices which generates massive amounts of data. Such a countless of data which reflect the cardiovascular system and its physiological components pose...
Hospitals are known for having separate information systems across various departments, which are usually heterogeneous in nature. Medical experts could benefit greatly from the integration of these islands, but the heterogeneity of the sources/databases often impedes this. Most cardiothoracic units use isolated heterogeneous systems to keep patien...
The semantic similarity between two words can be determined based on their common and distinctive features after transforming them into measurable values. Up to now, a variety of transfer functions with respect to the transformation and the combination of features have been proposed. However, none of them have ever processed and combined those feat...
This paper presents the development of an assistive educational system with intelligent approach which can be a basic electronic training and treatment tool to assist children with high-functioning autism. The plan is to bring these changes through the use of rules based algorithm as an approach to decide which level difficulty of the system should...
Cross-Language Information Retrieval (CLIR) is the process of providing queries in one language and returning documents relevant to that query which is written in a different language. A popular approach to CLIR is to translate the query into the language of the documents being retrieved. One of the simplest and most effective methods for query tra...
This paper investigates the effectiveness of a state of the art information retrieval (IR) system in the verse retrieval problem for Quranic text. The evaluation is based on manually indexed topics of the Quran that provides both the queries and the relevance judgments. Furthermore, the system is evaluated in both Malay and English environment. The...
Cross language information retrieval (CLIR) deals with the use of queries in one language to access documents in another. A popular CLIR approach is to translate the query into the language of the documents being retrieved. The simplest yet most effective method for query translation is bilingual dictionary approach. However, direct translation usi...
In this paper, we present a new syllabification algorithm for Malay language. Syllabification is the process to extract or divide syllable from words. Syllabification process is language dependent where each language can have its own set of syllable structure. Syllabication is an important component in speech synthesizer, speech recognition and tra...
Information retrieval involves finding some required information in a collection of information or in database. The collection not necessarily be in one language only as information does not limited to language. The simplest way to search for the information is to look at every item in the collection and when the need to translate the languages bei...
Performance on a question answering system is reflected by the number of correct answers that is produce from a list of alternate choices. However, many answers would appear in documents and passages laden with terms from the query. It becomes more difficult and eventually impossible to make a precise answer to a query. The aim of this study is to...
The idea of the computer system capable of simulating understanding with respect to reading a story or passage and answering questions pertaining to it, has received increased attention within the NLP community as a means to develop and evaluate robust question answering methods. This research is concerned with the problem of generating an automate...
Named Entity Recognition (NER) and Question Answering (QA) are fundamental tasks and they are the cores of natural language processing (NLP) system. NER, a sub problem of Information Extraction (IE), involves recognizing and extracting name entities like Persons, Locations, Organizations, Dates and Times from electronics resources and text. Questio...
The paper presents a reasoning technique for open-domain question answering (QA) system. QA system has attracted more attention to meet information needs providing users with more precise and focused retrieval answers. We proposed a skolemize clauses binding (SCB) for reasoning, along with the theorem proving to provide the basis answer extraction....
This article deals with Natural Language (NL) question answering to knowledge base (KB). The question-answering (QA) system described in this article is used in reading comprehension task. It considers the usual theorem prover for NL semantic interpretation by joining new approaches to the hypothetical question in bringing forth an automated answer...
This paper described a new approach of adapting an existing theorem prover to the hypothetical question in generating an automated answer to a restricted domain such as reading comprehension. The adaptation of this theorem prover involves the modification of some components from our experiment such as: Knowledge Representation and Answer Extraction...
Projects
Projects (5)
The purpose of running this project is to support the decision maker either the bus service provider (a bus company) as well as the bus passengers. The expected result of this project to the bus service provider is to optimize the scheduling of public bus operation on the road. Whereas, for the passenger, the mobile application will be developed to assist the passenger regarding the schedule of the bus in real time. By using a typical handy mobile phone GPS tool, the data are collected. Finally, the visualization is the point of interest of this project such as the bus operation will be displayed. Online application, for the analysis and visualization of the bus operation will be provided to the users.
