Hasimah Hj Mohamed

E-Clean: A Data Cleaning Framework for Patient Data

We need to prepare quality data by pre-processing the raw data. Data cleaning, also called data cleansing or scrubbing, deals with detecting and removing errors and inconsistencies from data in order to improve the quality of data. Data cleaning system are needed to support any changes in the structure, representation or content of data. There are three parts in the cleaning process, i.e. extract the invalid value, matching attributes with valid values and data cleaning algorithm. Our system uses the extract, transform and load model as the system main process model to serve as a guideline for the implementation of the system. Besides that, parsing techniques is also use for the identification of dirty data. The method that we choose for matching attributes is regular expression. Among those data cleaning algorithms, k-Nearest Neighbor algorithm is selected for the data cleaning part of this project because it is simple to understand and easy to implement.

Cross-platform mobile applications for android and iOS

Generally, there are three types of mobile application development, which are native mobile application, cross-platform mobile application and hybrid application. However, there are numbers of mobile devices that runs with different operating systems and languages in the current mobile market. Android and iOS is the most leading representative as the whole of current market. Developing application in different platforms has generated many problems, a lot of time; cost and man power is needed if there is no significant porting work. In order to avoid re-implementing the same type of application separately to fulfil the diverse platform needs, several tools are proposed. For example: XMLVM, PhoneGap, PhoneXML, DragonRad and RhoMobile, each with their own strength. Cross-platform is necessary in current mobile market. Besides that, we have proposed a cross mobile platform for Android and iOS games development using XMLVM.

Hajj-QAES: A Knowledge-Based Expert System to Support Hajj Pilgrims in Decision Making

Most Muslim countries provide trainings to their pilgrims before departing for Mecca in order to assist them in achieving a perfect or mabrur hajj. However they probably encounter hajj related problems that require them to make immediate decisions especially while performing hajj. In such situations they may refer to hajj guide books or their fellow pilgrims. Besides, they may need to refer to hajj experts in the decision making process pertaining to more complex problems. Nevertheless, experts may not be around all the time especially while performing hajj rituals. We propose a knowledge-based approach that can capture possible problems and solutions from the experts in a prototype known as hajj Q&A expert system or Hajj-QAES. It provides an interface that enables experts to capture both simple and advanced questions. Thus, we anticipate Hajj-QAES can support pilgrims both in learning process and most importantly while performing hajj in Mecca. Such systems would be more accessible should it be installed in handheld devices such as a hand phone or a personal digital assistant (PDA).

RFID applications in Hajj management system

Millions of Muslims go to Mecca every year to perform their Hajj (Pilgrimage). Managing of Hajj activities is a very complex task on Saudi Arabian authorities and Hajj organizers due to the large number of pilgrims, the specific geographical area for the movement of pilgrims and the short period of Hajj. Radio Frequency Identification (RFID) technology can be used in various applications during Hajj season to provide good solutions for many problems and contribute in overcoming many difficulties. This paper describes the potential applications of this new emerging technology in new field like Hajj and then proposes architecture for RFID-based Hajj management systems and communication network for data sharing.

M-Umrah: An Android-Based Application to Help Pilgrims in Performing Umrah

Performing hajj and umrah is one of the five pillars of Islam. The ritual involves many rules and procedures, and to remember all these rules and procedures usually poses a problem for pilgrims. The advancement of IT can provide a solution to the problem mentioned above. Hence, we apply the Internet and smart phone technologies to develop the M - Umrah application for users. The target users of this application are the Malaysian hajj and umrah pilgrims. This application provides a step-by-step guide to performing umrah, starting from preparation at home up until the pilgrimage is completed. The application was developed on the Android platform, and the first version of the application has been released to the market. Up until this point, more than ten thousand users all around the world have downloaded the application.

Identifying the determinants of RFID adoption intention in Hajj organizations

Millions of Muslims go to Mecca every year to perform their Hajj (Pilgrimage). Managing of Hajj activities is a very complex task on Saudi Arabian authorities and Hajj organizers due to the large number of pilgrims, the specific geographical area for the movement of pilgrims and the short period of Hajj. Radio Frequency Identification (RFID) technology can be used in various applications during Hajj season to provide good solutions for many problems and contribute in overcoming many difficulties. Despite this, RFID as an emerging technology has not been studied from the Hajj perspective. Using the Technology- Organization-Environment (TOE) framework, this study develops a theoretical model for RFID adoption intention in Hajj Organizations. Eight variables (relative advantage, compatibility, complexity, top management, firm size, organization readiness, government support, and willingness to collaborate among partners) are proposed to help predict RFID adoption intention. We include the willingness to collaborate among the partners as an important factor in environmental context, but has been ignored in IS literature. This study proposes to empirically test the model with adequate sample size of Hajj organizations.

RFID Smart Shelf Based on Reference Tag Technique

Radio Frequency Identification (RFID) is an automatic identification technology that can track and identify people, animals, and objects. It uses the radio frequency signal to send data from RFID reader to RFID tags. A common RFID system will involve RFID tag, RFID reader, and antenna as its components. Nowadays, RFID technology has been widely used for indoor positioning especially for the smart shelf in locating and tracking the object on the shelf. But, the existing smart shelf needs more than four antenna and more than two readers to increase the accuracy of locating the location and position of the misplaced item at the certain covered area. This research paper will compare a few algorithms which are Fingerprinting (Block Distance), Trilateration (Least Square Estimate) and Trilateration (Two-Border) to show the different accuracy among them and to increase the accuracy in locating the exact position of missing object by using Real Time Locating System (RTLS) by proposing a new algorithm. Besides, Received Signal Strength Indication (RSSI) is the chosen method of getting data from different points of the shelf to find the location of the missing object on the shelf. This indoor positioning use reference tag technique to get the RSSI data from the shelf. Thus, we can identify the missing object and detect if there is misplaced object occur or track the real-time location of the object.

Strategic information systems planning for RFID implementation in Hajj management systems

The growing number of radio frequency identification (RFID) applications in various industrial fields makes the development of strategic information systems planning (SISP) for the implementation process is essential. Hajj (pilgrimage) sector is one of sectors that would benefit from RFID system implementation through several applications. Without a good plan for the implementation process, it would be difficult to reap a lot of benefits expected from the use of this technology. For this reason, this study proposed a model of SISP for RFID implementation in Hajj management systems. This model assists Hajj management authorities and any related Hajj organization wishing to implement RFID system to better understand and prepare for RFID implementation. It provides guidelines for RFID implementation in Hajj management systems with an emphasis on implementation issues that are needed to be considered such as RFID implementation scenario and RFID data sharing. We hope that the proposed model will provide Hajj organizers with knowledge needed for the implementation of RFID technology in Hajj management.

P300 Detection in Electroencephalographic Signals for Brain–Computer Interface Systems: A Neural Networks Approach

Brain–computer interface systems are communicative mediums between human brain and external device. One of the applications of these systems is P300 speller. This application provides the ability to spell the characters on the screen for disabled people. In this study, we review the character recognition and its relation to P300 detection. Then, we used three neural networks models with flexible activation functions to detect P300 patterns from electroencephalographic signals more accurately. The obtained results have shown the accuracy of the character recognition based on the precision and recall measures.