Suziah Sulaiman

A study on threat model for federated identities in federated identity management system

Federated Identity Management (FIM) based on standards allows and facilitates participating federated organizations to share users identity attributes, facilitate authentication and grant or deny service access requests. Using single sign-on facility users authenticates only once to home identity provider and logged into access successive service providing service providers within federation. Users identity theft, misused of user identity information via single sign-on facility in identity providers and service providers, and trustworthiness of subject, identity providers and service providers are active concerns in federated identity management systems. In addition, we had explored trusted computing technology, which covers Trusted Platform Module security features such as Trusted Platform Module Identity, Integrity Measurement and Key certification as well as Trusted Network Connect. In this paper, we presented conceptual threat model for inter-domain web single sign-on in federate identity management system. For this, we set identity theft, misused of identity information, and trust relationship scenarios and in the end, we discussed how trusted computing technology use can effectively resolve identity theft, misused of identity information, and trust relationship concerns in federated identity management system.

An investigation to obtain a simple mobile phone interface for older adults

Mobile phones are essential for everyone in the world including the elderly population since the device could act as a long-range communicator between two different people. However, the current problems with the existing mobile phone are that its complex features and interface designs have intimidated some elder users from using the device. This paper addresses this problem by identifying the necessary features to have for these special users. An interview and a survey were conducted to a selected group of older users. Among the findings include a larger display, a touched screen, labeled icons and larger fonts are necessary in a mobile phone design. The existing features from a mobile phone that should be omitted include those functions that are related to the entertainments. These findings provide insights for designing a simpler mobile phone interface for older adults.

Fun Learning with AR Alphabet Book for Preschool Children

This paper describes the design and evaluation of an AR alphabet book, an Augmented Reality based book for teaching the alphabet to preschool children. Used together with camera and computer, children could view the superimposed virtual alphabet in a fun and interactive manner using the pattern markers as an interaction tool. Generally, teaching young children could be difficult this is due to the focus of young children is different from elderly since they could only focus on something for short period of time. Introducing the fun and interactive learning could grab the attention therefore enhance teaching and learning for young learner. Fun-learning emphasized interactive learning through play, songs; dance, drama and the use of information and communication technology (ICT). Researches showed that fun learning also increase the ability to memorize and understanding of the user. Flashcard is one of the learning approaches to teach children the alphabet. The tangible manner of flashcard introduce the interaction of learning therefore it could create the joyful learning. However, the potential of flash-card could be further enhance through the use of AR technology. Therefore, introducing the use of AR could encompass fun learning since AR offer rich media learning. Besides displaying each alphabet upon presentation of its corresponding pattern marker, children have the options to see 3D models of objects that begin with each alphabet character. Additional book features includes pattern markers for children to view animation of how each letter is drawn and jigsaw puzzle game for each letter to test children understanding. An informal study was conducted among 15 preschool children aged between 5-6 years old to examine user perception of the book. The preliminary results indicate the children reacted positively towards the books; most reported they like and enjoy using the AR book. Observation of the children behaviors during study corroborates this finding. Most students requested to use the AR book repeatedly. These results suggest the potential of AR book as a tool to create fun learning environment especially for preschool children. Furthermore, the brief interview with the teacher of the preschool also suggested that the system seem to grab the attention of the children.

Weed Recognition Based on Erosion and Dilation Segmentation Algorithm

Farmer needs alternatives for weed control due to the desire to reduce chemicals used in farming. However, conventional mechanical cultivation cannot selectively remove weeds and there are no selective herbicides for some weed situation. Since hand labor is costly, an automated weed control system could be feasible. A robotic weed control system can also reduce or eliminate the need for chemicals. Many attempts have been made to develop efficient algorithms for recognition and classification. Currently research is going on for developing new machine vision algorithms for automatic recognition and classification of many divers object groups. In this paper an algorithm is developed for automatic spray control system. The algorithm is based on erosion followed by dilation segmentation algorithm. This algorithm can detect weeds and also classify it. Currently the algorithm is tested on two types of weeds i.e. broad and narrow. The developed algorithm has been tested on these two types of weeds in the lab, which gives a very reliable performance. The algorithm is applied on 240 images stored in a database in the lab, of which 100 images were taken from broad leaf weeds and 100 were taken from narrow leaf weeds, and the remaining 40 were taken from no or little weeds. The result showed over 89% results

A Review on Particle Swarm Optimization Algorithm and Its Variants to Human Motion Tracking

Automatic human motion tracking in video sequences is one of the most frequently tackled tasks in computer vision community. The goal of human motion capture is to estimate the joints angles of human body at any time. However, this is one of the most challenging problem in computer vision and pattern recognition due to the high-dimensional search space, self-occlusion, and high variability in human appearance. Several approaches have been proposed in the literature using different techniques. However, conventional approaches such as stochastic particle filtering have shortcomings in computational cost, slowness of convergence, suffers from the curse of dimensionality and demand a high number of evaluations to achieve accurate results. Particle swarm optimization (PSO) is a population-based globalized search algorithm which has been successfully applied to address human motion tracking problem and produced better results in high-dimensional search space. This paper presents a systematic literature survey on the PSO algorithm and its variants to human motion tracking. An attempt is made to provide a guide for the researchers working in the field of PSO based human motion tracking from video sequences. Additionally, the paper also presents the performance of various model evaluation search strategies within PSO tracking framework for 3D pose tracking.

Haptic Texture Rendering Based on Visual Texture Information: A Study to Achieve Realistic Haptic Texture Rendering

Haptic texture rendering has recently received a lot of attention among the haptic community. By adding haptic textures onto an object could enhance its realism. The objective of this paper is to propose a rendering method that could improve such realism. We examine haptic rendering techniques that involve sine waves and Fourier series, and identify any problems that may occur. We argue that haptic texture rendering can employ 2D texture images data to generate the haptic texture, and suggest that wavelet transformations could be used to filter the texture information and generate haptic texture surfaces. Thus, a rendering method based on an images visual information is proposed. The advantages of this method include the dynamic and instant haptic texture rendering based on the objects visual information extracted from the visual texture.

Markerless Human Motion Tracking Using Hierarchical Multi-Swarm Cooperative Particle Swarm Optimization

The high-dimensional search space involved in markerless full-body articulated human motion tracking from multiple-views video sequences has led to a number of solutions based on metaheuristics, the most recent form of which is Particle Swarm Optimization (PSO). However, the classical PSO suffers from premature convergence and it is trapped easily into local optima, significantly affecting the tracking accuracy. To overcome these drawbacks, we have developed a method for the problem based on Hierarchical Multi-Swarm Cooperative Particle Swarm Optimization (H-MCPSO). The tracking problem is formulated as a non-linear 34-dimensional function optimization problem where the fitness function quantifies the difference between the observed image and a projection of the model configuration. Both the silhouette and edge likelihoods are used in the fitness function. Experiments using Brown and HumanEva-II dataset demonstrated that H-MCPSO performance is better than two leading alternative approaches—Annealed Particle Filter (APF) and Hierarchical Particle Swarm Optimization (HPSO). Further, the proposed tracking method is capable of automatic initialization and self-recovery from temporary tracking failures. Comprehensive experimental results are presented to support the claims.

An integrated modular approach for Visual Analytic Systems in Electronic Health Records

Latest visual analytic tools help physicians to visualize temporal data in regards to medical health records. Existing systems lack vast support in the generalized collaboration, a single user-centered and task based design for Electronic Health Records (EHR). Already existing frameworks are unable to mentor the interface gaps due to problems like complexity of data sets, increased temporal information density and no support to live databases. These are significant reasons for a single model to comply the end user requirements. We propose an integrated model termed as CARE 1.0 as a future Visual analytic process model for resolving these kinds of issues based on mix method studies. This will base on different disciplines of HCI, Statistics as well as Computer Sciences. This proposed model encompasses the cognitive behavioral requirements of its stake holders i.e. physicians, database administrators and visualization designers. It helps in presenting a more generalized and detailed visualization for desired medical data sets.

Mental model of blind users to assist designers in system development

The vast growing technologies for blind users has attracted many researchers to get involved in developing and improving software and system applications useful for the blinds. However, the challenge before such development is in understanding how the users behave and interact with the system. This paper presents a mental model for blind users to assist designers in developing better systems for blind computer users. An explanation on mental model as generally is presented. Related papers on mental model for blind user were reviewed to examine the strengths and weaknesses. Kurniawan and Sutcliffes work was chosen as a basis to investigate on mental model of blind users. This paper also provides a discussion on the implication of the proposed mental model to designers in designing system applications for the blinds. This includes the need to get domain experts involvement in the design phase of the mental model proposed

Investigation of fingertip blobs on optical multi-touch screen

Recently, multi-touch tabletop displays provided the Natural User Interface (NUI). Humans use the bare finger as a pointing device for manipulation of interactive elements on multi-touch surface. However, fingertip size occupies the large space instead of appropriate target point and creates ambiguity in touch detection. To overcome issue possibly, we develop an optical multi-touch screen using the Frustrated Total Internal Reflection (FTIR) sensing technique for investigation of the fingertip blobs. In order to conduct the experiment we specify the interaction mechanism which provides the stability in finger touch detection. When users touch with the multi-touch screen using their fingers, we obtain the fingertip blobs that are used for investigation. We take each fingertip blob as an image and compute its relative pixel intensity values using the image processing tool. The investigation exhibits the variation in pixel values each fingertip blobs. The unit variance in intensity of pixel values helps in identifying the error rate in finger touch detection. The study identifies the factors that generate the error rate and ambiguity in finger touch detection. Our study may support for avoiding the error rate and enhancing the finger touch detection. It may also helpful for achieving the accuracy in finger touch detection and for designing and implementing the interactive elements for multi-touch screens.