Brainwave Detection Model for Panic Attacks Based on Event-related Potential

Panic attacks could adversely affect a patient’s daily life and can pose risks to others. The symptoms of panic attacks can be timely observed by detecting the brainwave. This research presents a model that can evaluate the level of panic attack symptoms using the brainwaves detection during (or before) the symptom occurs. It helps monitor the patient’s brainwave based on Event-related potential (ERP). The model is derived from the simulation with horror pictures and frightening sound on the experimental group of 30 people. The survey related to symptoms has been used regarding to the criteria of the Beck Anxiety Inventory (BAI). The results showed that there is a consistent change of Electroencephalography (EEG) in each change of brainwaves where its quantitative analysis found that the changes of Beta, Gamma, and Alpha directly affect the model of Brainwaves Panic Attacks Measurement (BPAM) which is associated with panic attacks. 1 out of 30 cases scored higher than the average of the BPAM at 220 The Model BPAM can detect the risk to be Panic Attack compared to the use of tests Beck Anxiety Inventory (BAI) were found to be consistent. The test value BAI Score 19-63 was BPAM Score 401-1000. In addition, the results found that at P300 the brainwave pattern of EEG in meditation had decreased significantly whereas the brainwave related to attention had increased considerably for which human brain can potentially respond to stimulated external events

Enhancing User Experience for Mobile Learning Using Augmented Reality and Learning Style

Current m-learning media are available in both native application and web-based application forms which create different user experience. Also, as the learners generally have diverse preferences and needs, a single style of m-learning may not meet such requirements. In order to formulate better and more attractive interaction between the learner and m-learning system, this study introduces augmented reality (AR) to both native and web applications as a means to improve captivation and create new user experience. A single group of learners is selected to try both types of application. The researcher groups the learner by learning style, using Felder-Silverman Learning Style Model, and then determines effectiveness of both forms of m-learning through an experiment. Experiment showed that all 4 learner groups were more satisfied with AR-enhanced native application based on user experience design due to its attractiveness and entertainment

Cross-border entrepreneurship collaboration model for socio-economic sustainability

The South East Asia (SEA) region is a melting pot of diverse culture and arts.This region is rich with local products which possess potentials to be marketed to a wider market.However, local entrepreneurs have limited access to financial aids and know-how to achieve this.In this paper, a model which fosters collaboration among local entrepreneurs within this region is proposed.This model is built upon three thrusts namely marketing, continuous knowledge sharing and technology transfer.Focusing on unique local products, this model can add to the value chain, improve the socio-economic activities thus resulting in a better quality of life

An energy-efficient MAC protocol to conserve energy in wireless sensor networks

Wireless Sensor Network (WSN) nodes are widely used in various sectors nowadays. WSN nodes experience a lot of problems that impact on battery life for sensor node such as, overhearing, collision,hidden node, idle listening, schedule drifts, and high latency. Moreover, WSN nodes are strongly dependent on its limited battery power, and replenishing it again is difficult as nodes are deployed in an ad-hoc manner.Energy consumption is the most important factor to determine the life of a sensor network because usually sensor nodes are driven by low battery resources. An approach to conserve energy in WSN nodes is to carefully design its Medium Access Control (MAC) protocol. Several previous work has been carried out to mitigate many problems that impact on battery life for sensor node such as overhearing, collision, and hidden node. This paper attempts to design Energy-Efficient MAC (EEMAC), a hybrid energy-efficient protocol to address the energy issues that are related to WSNs nodes.This protocol aims to reduce idle listening times as well as lowering the latency time thus reducing the energy consumption.The proposed protocol has been developed and analyzed using the ns-2 Simulator.A mathematical model was used to prove the efficiency of the proposed protocol. We have compared our proposed EE-MAC protocol with the existing contention-based IEEE 802.11 PSM protocol.The simulation results illustrate that the EE-MAC has achieved better energy conservation than the IEEE 802.11 PSM protocol

An analysis of Wi-Fi security vulnerabilities in Malaysia: A survey in Golden Triangle Kuala Lumpur

The widespread use of Wi-Fi in the US and Europe has brought a new security concern among Wi-Fi owners and developers. However this concern and awareness are still low in Malaysia. A survey using the NetStumbler and a GPS receiver to locate the coordinates of detected Wi-Fi APs was carried out in the Golden Triangle area of Kuala Lumpur, Malaysia. This paper will describe how far the owners and administrators in Malaysia secure their Wi-Fi networks and subsequently create security awareness among Wi-Fi owners and administrators

Assessing Malaysian crowdsourcing platforms using web of system performance (WOSP) model

Crowdsourcing allows organizations and individuals to tap into a large pool of people to accomplish tasks. Recent growth in crowdsourcing has triggered Malaysia to venture into crowdsourcing initiatives. This study intends to assess the performance of crowdsourcing platforms in Malaysia using the Web of System Performance (WOSP) model.The results give insights on the current state of crowdsourcing platforms in Malaysia and highlight the gaps that exist in these platforms. This eventually help to enhance the design of current platforms and promote higher uptake of crowdsourcing among Malaysians

A Critical Review on Energy-Efficient Medium Access Control for Wireless and Mobile Sensor Networks

Wireless sensor network (WSN) has garnered remarkable attention due to its wide supports for plenty of applications such as, health systems; military based applications, environmental monitoring, and tactical system. In ContentionBased Medium Access Control (MAC) protocols related to the energy consumption. In this paper, a combative review of energy consumption in Contention-Based MAC protocols was provided. Furthermore, a general comparison that stated the strengths and drawbacks with every utilized technique was offered. The main aim of this paper is to assist the researcher to choose the right protocol for developing purpose or further investigation regarding the performance

A critical review on energy-efficient medium access control for wireless and mobile sensor networks

Wireless sensor network (WSN) has garnered remarkable attention due to its wide supports for plenty of applications such as, health systems; military based applications, environmental monitoring, and tactical system. In Contention Based Medium Access Control (MAC) protocols related to the energy consumption. In this paper, a combative review of energy consumption in Contention-Based MAC protocols was provided. Furthermore, a general comparison that stated the strengths and drawbacks with every utilized technique was offered. The main aim of this paper is to assist the researcher to choose the right protocol for developing purpose or further investigation regarding the performance

Channel Impulse Response Equalization based on Genetic Algorithm in Mode Division Multiplexing

This paper proposed to use genetic algorithm (GA) as an adaptive algorithm for mode division multiplexing (MDM) equalization in order to minimize the mean square error as well as to maximize the similarity between the ideal signal and the MDM distorted signal. A significant result has been obtained of implementing GA on MDM equalization compared to other conventional algorithm such as least mean square (LMS) which is used dominantly in current equalizations

Design and evaluation of a multilanguage instant messaging application

Recent growth in mobile Internet has resulted in the emergence of instant messaging (IM) applications.These applications now allow users to communicate via text and voice messaging, as well as sending attachments to their intended recipients.While these applications now support multiple languages, they, only allow users to communicate using the same language.A communication barrier and breakdowns occur when users do not speak the same language.This paper describes the design of Multilingual Instant Messaging Application (MIMA), and measure the level of acceptance of the application.Respondents agree that MIMA is both useful and easy to use, and this application is an essential tool to bridge the communication gap between speakers of different language