Johan Mohamad Sharif

An Efficient Next Hop Selection Algorithm for Multi-Hop Body Area Networks.

Body Area Networks (BANs) consist of various sensors which gather patient’s vital signs and deliver them to doctors. One of the most significant challenges faced, is the design of an energy-efficient next hop selection algorithm to satisfy Quality of Service (QoS) requirements for different healthcare applications. In this paper, a novel efficient next hop selection algorithm is proposed in multi-hop BANs. This algorithm uses the minimum hop count and a link cost function jointly in each node to choose the best next hop node. The link cost function includes the residual energy, free buffer size, and the link reliability of the neighboring nodes, which is used to balance the energy consumption and to satisfy QoS requirements in terms of end to end delay and reliability. Extensive simulation experiments were performed to evaluate the efficiency of the proposed algorithm using the NS-2 simulator. Simulation results show that our proposed algorithm provides significant improvement in terms of energy consumption, number of packets forwarded, end to end delay and packet delivery ratio compared to the existing routing protocol.

An Overview: Segmentation Method for Blood Cell Disorders

Blood make up of 45% blood cells and 55% plasma. Blood cells consist of red blood cell (RBC), white blood cell (WBC) and platelet (thrombocytes). Each of the cells has the role to carry oxygen and carbon dioxide in the blood, work as an antibody and function for clot mechanism. Complete blood count (CBC) is done to measure all of the blood cells and including hematocrit and hemoglobin. Any abnormal reading which beyond the normal reading is considered blood cell disorder like leukimia, aplastic anemia, and others. Many analyzing methods has been developed to give a precise and reliable reading for CBC such as flow cythometric immunophenotyping, manual blood reading, blood smear, segmentation and others. Segmentation is among the best way for analyzing in term of cost effective and time consuming compared to other methods. A continuous improvement for 3D image segmentation will lead to a better result in the future.

Design of accelerometer based wrist rehabilitation device

Vigorous repetitive motion can damage the wrist and tend to affect patients daily life. Thus, patient needs to see therapist to undergo rehabilitation treatment. This research proposes a rehabilitation device to help patients with wrist problem to do rehabilitation treatment at home without therapist assistance. The device uses a single hand pedal mechanism that contains an accelerometer to measure acceleration exerted by the users wrist motion in pitch and yaw movements. Preliminary experimental results show the usefulness of the proposed device where the movement of accelerometer sensor attached on the device corresponds to the actual movement of the wrist. Furthermore, the uniqueness of this device is the portability and low-cost design.

Investigating severity of blackhole attack and its variance in wireless mobile ad hoc networks

Blackhole attack is a common attack in mobile ad hoc network (MANET). Generation of this attack is simple, which does not require special tools or sophisticated attack techniques. Various solutions to prevent this attack have been proposed. However, none of them has measured the severity of this attack. In fact, the assessment of severity is essential to develop effective and efficient prevention against the attack. The purpose of this study is to investigate the severity of blackhole attack. In this investigation, new security metrics, namely corruption routing table (CRT), compromising relay node (CRN) and compromising originator node (CON), have been proposed and used for the severity evaluation. In addition, a new blackhole attack, namely hybrid blackhole attack (HBHA) with two variants - independent and cooperative HBHAs are also introduced for the purpose of comparative study. Simulations using Java in time simulator/scalable wireless ad hoc network simulator (JiST/SWANS) show that the proposed metrics are effective in assessing the severity of the blackhole attacks. Among these three blackhole attacks, independent HBHA is the most severe attack. Meanwhile, the cooperative HBHA is the most efficient attack.

3D Scientific Data Mining in Ion Trajectories

In physics, structure of glass and ion trajectories are essentially based on statistical analysis of data acquired through experimental measurement and computer simulation [1, 2]. Invariably, the details of the structure-transport relationships in the data have been mistreated in favour of ensemble average [3-5]. In this study, we demonstrate a visual approach of such relationship using surface-based visualisation schemes. In particular, we demonstrate a scientific datasets of simulated 3D time-varying model and examine the temporal correlation among ion trajectories. We propose a scheme that uses a three dimensional visual representation with colour scale for depicting the timeline events in ion trajectories and this scheme could be divided into two major part such as global and local time scale. With a collection of visual examples from this study, we demonstrate that this scheme may offer an effective tool for visually mining 3D timeline events of the ion trajectories. This work will potentially form a basis of a novel analysis tool for measuring the effectiveness of visual representation to assist physicist in identifying possible temporal association among complex and chaotic atom movements in ion trajectories.

Colour Number Coding Scheme for Human Blood Cell

Our perceptive in the scientific datasets has largely relied on numerical and statistical analysis of data from experimental dimension and computer simulation result. In particular, we consider a simulated 3D time-varying model of scientific datasets and examine the temporal correlation among datasets. Our goal is to devise effective visual representations to aid scientists especially biologists in identifying possible correlation associated among it. We proposed a hybrid scheme that used 3D glyphs for orientation, colour scale and codeword for depicting the time and opacity with highlight and de-highlight factors for collaborative events, if possible. Finally, we hope this tool will able to help scientists in their analysis works.

Spatio-temporal Application for Collaborative Issues in Bioinformatics Datasets

Scientists has largely understand the structure of glass and the ion trajectories has largely relied on statistical analysis of data collected from experimental measurement and computer simulation. Invariably, the details of the structure-transport relationships in the data have been ignored in favor of ensemble average. In this works, we present a visual study of such relationships using surface-based visualization techniques. In particular, we consider a simulated three-dimensional (3D) time-varying model of ion trajectories, and examine the spatio-temporal collaborative among mobile ions. Our goal is to devise effective visual representations to aid scientists especially biologists in identifying possible collaborative behaviors and their spatial and temporal association among complex and seemingly chaotic atom movements in ion trajectories. We propose a hybrid scheme that used 3D glyphs for orientation, color scale and codeword for depicting the time and opacity with highlight and de-highlight factors for collaborative ion dynamic events.

Visualizing collaborative time-varying scientific datasets

Our perceptive of the scientific datasets has largely relied on numerical and statistical analysis of data from experimental dimension and computer simulation result [4][14][11][12][13]. In particular, we consider a simulated 3D time-varying model of scientific datasets and examine the temporal correlation among datasets. Our goal is to contrive effective visual representations to assist scientists in ascertaining temporal correlation among intricate and apparently chaotic scientific datasets. We propose a hybrid application with combination of streamline, global and local color scale and opacity scheme for spatio-temporal collaborative depiction. We illustrated also few images that can offer an effective tool for visually mining 3D time-varying scientific datasets.