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Chong Eng Tan
  • Kota Samarahan, Sarawak, Malaysia
The world is facing critical energy crisis today. As a result the conventional grid energy supplies are not enough to meet the present demand. Many advance researches are in progress to overcome this energy predicament. Power generation... more
The world is facing critical energy crisis today. As a result the conventional grid energy supplies are not enough to meet the present demand. Many advance researches are in progress to overcome this energy predicament. Power generation and management in disconnected rural villages is challenging. The situation is even more challenging when landscape structure in such environment are irregular. Forces of diffusion, ground reflectance and sky view factor among others, affect the quality of final solar radiation incident on a solar panel. This paper describes the implementation of an algorithm that can be used to predict solar energy potential of irregular landscapes. Location-based Solar Energy Potential Prediction Algorithm (LOSEPPA) takes as input, the geographic latitude and longitude of the location of interest to compute the Solar Irradiance Factor (SIF). Geographic latitude plays an important role in the availability of sufficient solar radiation as well as the state of the atm...
The issue of online profiling and privacy has received growing attention from academics and practitioners. The unprecedented race among e-businesses to provide personalised contents has placed distrust in consumers at an alarming rate.... more
The issue of online profiling and privacy has received growing attention from academics and practitioners. The unprecedented race among e-businesses to provide personalised contents has placed distrust in consumers at an alarming rate. This study combines and applies well established constructs developed by (8,9,11) to empirically assess the existing scenario of Australian Website's with regards to online profiling, privacy and trust. The study further highlights relevant managerial implications for mananging these constructs and directions for future research are discussed, paart from suggesting an alternative approach towards online profiling i.e self-profiling.
In an IEEE 802.11 Infrastructure network, as the mobile node is moving from one access point to another, the resource allocation and smooth hand off may be a problem. If some reliable prediction is done on mobile node’s next move, then... more
In an IEEE 802.11 Infrastructure network, as the mobile node is moving from one access point to another, the resource allocation and smooth hand off may be a problem. If some reliable prediction is done on mobile node’s next move, then resources can be allocated optimally as the mobile node moves around. This would increase the performance throughput of wireless network. We plan to investigate on a hybrid mobility prediction scheme that uses location tracking and data mining to predict the future path of the mobile node. We also propose a secure version of the same scheme. Through simulation and analysis, we present the prediction accuracy of our proposal.
In this paper, we propose an enhancement to the conventional Round Robin DNS load balancing technique which allows a single domain name to be associated with several web server IP addresses in a rotated order in a server cluster. Once the... more
In this paper, we propose an enhancement to the conventional Round Robin DNS load balancing technique which allows a single domain name to be associated with several web server IP addresses in a rotated order in a server cluster. Once the DNS server resolves the domain name to one of the web server IP address, the subsequent requests from the same client will be sent to the same server regardless of the current condition of the server. However, this conventional load balancing technique has a few disadvantages; Firstly, the DNS server is unaware of the status of web servers whether their services are available or not. Secondly, making changes to the DNS records can take days to propagate across the local DNS caches because the conventional DNS server will not delete their cached DNS records until the time to live (TTL) expires. Lastly, DNS server assumes all web application servers to have equal capability to offer their services without taking into account of the server's load...
... Ling Sun Tan1, Sei Ping Lau2, Chong Eng Tan3 Faculty of Computer Science and Information Technology, University Malaysia Sarawak, 94300 Kota Samarahan, Sarawak, [email protected], [email protected],... more
... Ling Sun Tan1, Sei Ping Lau2, Chong Eng Tan3 Faculty of Computer Science and Information Technology, University Malaysia Sarawak, 94300 Kota Samarahan, Sarawak, [email protected], [email protected], [email protected] ...
Research Interests:
Research Interests:
Research Interests:
To support truly peer-to-peer applications in an ad hoc wireless networks, a judicious and efficient ad hoc routing protocol is needed. The primary objective of such routing protocol is the correct and efficient information exchange... more
To support truly peer-to-peer applications in an ad hoc wireless networks, a judicious and efficient ad hoc routing protocol is needed. The primary objective of such routing protocol is the correct and efficient information exchange between the nodes. In this paper, we propose a routing scheme for orthogonal frequency division multiplexing (OFDM) broadband network, which takes the physical channel quality, i.e. its channel impulse response (CIR) value as the routing metric. The scheme works by predicting the best route with the least error rate incurred, and transmitting data over the selected best route by employing OFDM adaptive modulation. Simulation result shows that the proposed scheme achieves its goal in reducing the error rate and increasing the data throughput.
One of the critical issues to be tackled for achieving routing efficiency in an ad hoc wireless network is the channel quality among the nodes. This paper tries to approach the stated issue from the physical layer perspective of an... more
One of the critical issues to be tackled for achieving routing efficiency in an ad hoc wireless network is the channel quality among the nodes. This paper tries to approach the stated issue from the physical layer perspective of an orthogonal frequency division multiplexing (OFDM) ad hoc wireless network. It proposes an adaptive wireless routing scheme, namely the adaptive-all routing scheme, based on the channel quality, which is measured by its respective channel impulse response (CIR) value. The proposed scheme covers the scope of (a) best-route prediction for selecting the best route with the least bit error rate (BER) expected, and (b) adaptive OFDM modulation for data transmission over the selected best route. Simulation results show that the proposed scheme achieves its goal in improving the network performance by reducing the error rate and increasing the data throughput.
In today's context, it is common to leave the house unattended as people are busy catching up with their tight daily schedule. Therefore, most people have chosen the home security system as the most reliable way to protect their home.... more
In today's context, it is common to leave the house unattended as people are busy catching up with their tight daily schedule. Therefore, most people have chosen the home security system as the most reliable way to protect their home. However, the existing security mechanism provided by smart home is lack of intelligence for higher level decision making and action taking. Furthermore, the current security management of smart home is usually predefined by user. Thus, for consequences that are out of the defined scopes, chances to trigger false alarm are very high. Besides, the environment of each smart home is difference and the culture is also different from country to country, so the predefined security instructions may not work well or they may not suitable for all scenarios. Therefore, an intelligent algorithm with self learning ability must be adopted for smart home system in order to take adequate actions against the evaluated environment and decide for the necessary actions. Neural networks have been proposed in this paper where they are adaptive statistical models based on an analogy with the structure of the brain. The intelligence of the smart home should be able to analyze the information gathered by the sensors and detectors and to respond based on the analysis and the experiences gained via the neural networks. Neural network is chosen because they have the learning ability to estimate the parameters of some populations using a small number of examples at a time. When come to neural network learning process, there are several learning algorithms that could be applied, which can learn through pattern recognition, movement recognition, action recognition and so forth.
In order to facilitate communication within an ad hoc wireless network, a routing protocol is required to route data between nodes. The primary goal of such routing protocol is correct and efficient information exchange between the nodes.... more
In order to facilitate communication within an ad hoc wireless network, a routing protocol is required to route data between nodes. The primary goal of such routing protocol is correct and efficient information exchange between the nodes. This paper addresses such routing issue from the Physical Layer perspective of an Orthogonal Frequency Division Multiplexing (OFDM) broadband ad hoc wireless network. Two wireless routing schemes, namely, the Adaptive-All and Adaptive-Select Routing Scheme were proposed, based on the Channel Impulse Response (CIR) of the wireless channel. Extensive simulation results show that both of the schemes are efficient in reducing the error rate and increasing the data throughput.
Abstract We propose a genetic algorithm based approach to obtain low PAPR near-optimum training sequences for channel estimation in an OFDM system. The use of a genetic algorithm is proposed since the search space rises exponentially as... more
Abstract We propose a genetic algorithm based approach to obtain low PAPR near-optimum training sequences for channel estimation in an OFDM system. The use of a genetic algorithm is proposed since the search space rises exponentially as the number of sub-...
We propose an adaptive modulation scheme for a pre-equalised OFDM system, where the adaptation to higher order modulation schemes is based on the accuracy of the channel estimate. The simulated performance of the proposed scheme is... more
We propose an adaptive modulation scheme for a pre-equalised OFDM system, where the adaptation to higher order modulation schemes is based on the accuracy of the channel estimate. The simulated performance of the proposed scheme is presented.
Research Interests:
Research Interests: