Zainura Idrus

Geovisualization of Nonresident Students’ Tabulation Using Line Clustering

Today, we are abundance with a huge amount of space-related data. Hidden within this data is rich knowledge which can be discovered through geovisualization method. This method supports interactive simulation on data via its visual form. The data is plotted on a map to create density population where it forms patterns and through exploration of the patterns, the hidden knowledge is extracted. However, during the plotting process, overlapping of dots occurs, and it distorts the density. Thus, the overlapped dots need to be repositioned. The overlap is the main issue in mapping University Teknologi MARA nonresident student tabulation that complicates the analysis process. The overlap cannot be avoided since students are centered in three main towns, and they stay close to each other. Most of the dot replacement methods are centered on neighboring clustering where these dots are relocated to a location closer to their original locations. Thus, this research introduces a new relocation method where line clustering is used instead of neighboring clustering as a mean to distribute density. The line clustering method was tested, and results indicate that line clustering is capable to portray a better data density.

Visual Analytics of Happiness Index In Parallel Coordinate Graph

For decades, quality of work life has always been associated with human wellbeing, which eventually results in happiness. This concept of happiness consistently correlated with increase in business performance, health, marital success, friendship, longevity, creativity, profit and promotion. Thus, a survey work through happiness index assessments method has been undertaken by a university to understand its employees’ state of wellbeing. The method accesses the employee happiness index as a mean to understand the employees’ wellbeing state. The process starts by first conducting surveys among the employees. The survey data are indexed by responses to nine respondent profiles attributes, which are campus, type of work, group of work, age, sex, and working duration, duration in the current position, marital status and number of children. They are categorized as independent parameters. Then, the employees’ happiness is assessed through eight working elements which are selected based on PERMAIg© model. The elements are general, positive emotion, engagement, relationship, meaning, accomplishment, infrastructure and gratitude. These profiles are classified as dependent parameters. Next, the relationship patterns between the two parameters need to be identified. Parallel coordinate graph has been found suitable for the relationships discovery. Since the data are big and complex with huge number of parameters, the graph tends cluttering and the relationship patterns are not revealed. Thus, filtering techniques are performed on the graph as a means to extract the relationship patterns. It is recommended that the result of the analysis to be utilized by the university management in an attempt to increase quality of working life and in supporting human wellbeing as a whole.

Software Application for Analyzing Photovoltaic Module Panel Temperature in Relation to Climate Factors

Discovering factors and relationships that affect the temperature of photovoltaic module panel is vital to solar energy based research in an attempt to generate green energy effectively. Despite the availability of visualization tools that assist in the discovery, they are not dedicated. They require some efforts, time and certain level of skills to gain benefits out of them. Thus, this research has designed and developed a dedicated application system called RAID Explorer to assist the researchers in their attempts to explore various factors that contribute to photovoltaic module temperature. With the system, discoveries are through observation that stimulates human cognitive ability. The system strength’s resides in its three main components, which are data entry, visualization and visual analytics. The components are flexible as such, visual interaction is intuitive and users are able to manage it with minimum instruction. They also enable personal customization as such judicious judgment can be made. For performance analysis, the system was implemented and utilized by Green Energy Research Centre (GERC), Universiti Teknologi MARA (UiTM), Malaysia to determine its functionality and usability. The findings show that RAID capabilities are beyond merely to discover the factors contributed to photovoltaic module temperature. In fact, it has successfully supported the discovering of various relationships in the photovoltaic dataset. Thus, RAID Explorer supports scientists’ need for flexible, speed and interactive exploration of huge photovoltaic dataset in relation to relationship discovery.

Budget Visual: Malaysia Budget Visualization

Data visualization is an efficient method to analyze complex data. It eases the reader to identify data patterns. Based on the previous studies, countries such as United States, China, Russian, and Philippines have used data visualization method to present their budgets. However, Malaysia Budget is still reported in speech text, which is difficult for Malaysian citizen to understand the overall distribution. Therefore, this paper proposed treemap technique to visualize the Malaysia Budget using dynamic approach. This technique is chosen as it allows the users to explore the data interactively, which covers various ministries. The result shows that treemap technique works well and presents the whole budget effectively. This study can be further improved by performing the comparison between previous and the current budget.

Dynamic Role Behavior for Managing Users Through A Networked Collaborative Monopoly Game Abstraction

e-Technology has enabled users from remote locations to collaborate together virtually and involve in e-activities to reach their common goals. The virtual environment is commonly known as Networked Collaborative Virtual Environment. It is a challenge to manage these remote located users since they are diverse in term of language, culture, and skill. Most of the managements are performed by external entity such as administrator. As a result, the external handling is hardly matched or coped. Thus, this paper investigates the possibility of having a method called role behavior to manage users both internally and externally. The initial finding shows that roles are dynamic and their dynamic behaviors are further analyzed through a collaborative monopoly game. As a result, a set of role behaviors has been extracted from the game. Each behavior is analyzed and mapped to a real-life application as an abstraction of user management. Finally, a mathematical model has been proposed to represent a comprehensive collection of roles which has to be used in managing dynamic environment.

Managing CSCW’s users in scripting language

In computer supported cooperative work (CSCW), users work together from remote locations where each of them performs specific roles. However, their roles are dynamic and they change their roles more often as compare to co-located environments. The process of changing roles is known as role transition. Role transition process basically determines who is authorized to trigger for changes, who is mandated to perform assignment, who is the best fitted candidate for the roles and what are the constraints imposed to the users. Rarely, the role transitions are translated into a programming language to support easy development of role transition management system. Currently, development of such system is mainly done by experts due to the nature complexity of CSCW. Thus, this research is intended to develop a set of highly abstract scripting language to support role-user assignment for easy development. To achieve the objective, a collaborative Monopoly game has been developed as a simulation to extract various parameters that are needed for role-user assignment. Then, their relationships are established. Based on the relationships, a new set of language constructs are designed and developed. Then, the language constructs are embedded via internal extension into JACIE language. JACIE is a dedicated scripting language focusing on speed development of CSCW application systems. Finally, the new set of language constructs is tested by developing a prototype of a call center that supports various role-user assignments. This research has successfully reduced lines of programming codes (as compared to Java) while preserving the briefness behavior of a scripting language.

Role transition management: Issues and control in a call center

In networked collaborative virtual environment, users from dispersed locations can work as a group. Each user holds certain roles along with responsibilities and access to resources. However, the virtual environment is dynamic and users have to change their roles frequently. The process is called role transition and currently it is managed by users manually or handled by specific domain applications automatically. In manual management, users are burden with unnecessary workload and the role transitions are prone to errors, whereas the automatic handling is limited to its preset role transition capability. This research aims to explore the provision of role transition management. This exploration will uncover the vital patterns for structured and flexible role transition management. In order to achieve the objective, this research has chosen a call centre in a leading banking system to capture real-life scenarios via observation and interviews. For immerse and deep understanding of role transition, personas have been utilized as a mechanism of illustration to demonstrate the complex role transition in the call center. All factors gathered in the study will provide strong foundation in the design of an automated system for facilitating role transition management that will balance the workload of an authorized human and an automatic programmable technical element in a system.