This article explores the application of DNA computing in recyclable waste paper sorting. The pri... more This article explores the application of DNA computing in recyclable waste paper sorting. The primary challenge in paper recycling is to obtain raw materials with the highest purity. In recycling, waste papers are segregated according to their various grades, and these are subjected to different recycling processes.Highly sorted paper streams facilitate high quality end products, while saving on processing chemicals and energy. In the industry, different sensors are used in paper sorting systems, namely, ultrasonic, lignin, gloss, stiffness, infra-red, mid-infra red, and color sensors. Different mechanical and optical paper sorting systems have been developed based on the different sensors. However, due to inadequate throughput and some major drawbacks related to mechanical paper sorting systems, the popularity of optical paper sorting systems has increased. The automated paper sorting systems offer significant advantages over the manual systems in terms of human fatigue, throughput, speed, and accuracy. This research has two objectives: (1) to use a web camera as an image sensor for the vision system in lieu of different sensors;and (2) to develop a new DNA computing algorithm based on the theme of template matching techniques for segregating recyclable waste papers according to paper grades. Using the concepts of replication and massive parallelism operations, the DNA computing algorithm can efficiently reduce the computational time of the template matching method. This is the main strength of the DNA computing algorithm in actual inspections. The algorithm is implemented by using a silicon-based computer to verify the success rate in paper grade identification.
International Journal of Electrical …, Jan 1, 2006
The determination of ATC must accommodate a reasonable range of capacity benefit margin (CBM) so ... more The determination of ATC must accommodate a reasonable range of capacity benefit margin (CBM) so that the operation of power system is secure from the generation deficiency that may occur during a power transfer. There are two ways of incorporating CBM into ATC, which are by considering the CBM as firm and non-firm transfers. The CBM for each area is specified based on the installed generation capacity that gives the loss-of-load expectation index below 2.4 h/year. The determination of CBM based on heuristic search for a large ...
Load shedding is some of the essential requirement for maintaining security of modern power syste... more Load shedding is some of the essential requirement for maintaining security of modern power systems, particularly in competitive energy markets. This paper proposes an intelligent scheme for fast and accurate load shedding using neural networks for predicting the possible loss of load at the early stage and neuro-fuzzy for determining the amount of load shed in order to avoid a cascading outage. A large scale electrical power system has been considered to validate the performance of the proposed technique in determining the amount of load shed. The proposed techniques can provide tools for improving the reliability and continuity of power supply. This was confirmed by the results obtained in this research of which sample results are given in this paper.
Knowledge-Based Intelligent Information …, Jan 1, 2010
In this paper, we propose a new method based on lip motion sequence and the Unconstrained Minimum... more In this paper, we propose a new method based on lip motion sequence and the Unconstrained Minimum Average Correlation Energy (UMACE) filter as a classifier for person identification. UMACE filter has advantages in terms of their characteristics such as distortion-tolerant, shift-invariant and high discrimination ability. Therefore, executing UMACE filter provides an ideal application for person identification because we deal with the variations of the lip appearance in each frame sequence. The results obtained using a ...
One of the growing needs in transmission planning is to provide accurate sim-ulation models of th... more One of the growing needs in transmission planning is to provide accurate sim-ulation models of the generator, excitation system, and governor; however, the degree of accuracy of the generator model is often questioned because model pa-rameters currently used may have ...
Abstract This paper highlights the artificial neural network (ANN) approach to perform the endpoi... more Abstract This paper highlights the artificial neural network (ANN) approach to perform the endpoint detection process, which involves the segmentation of speech signals from non-speech signals. Two ANN models have been proposed to perform endpoint detections of isolated digit utterances spoken in the Malay language: multilayer perceptron (MLP) and adaptive linear network (ADALINE). Results obtained from the ANN models are acoustically verified, visually checked and compared to the conventional method of endpoint detection. ...
Abstract This paper describes a neural network speech enhancement system using a noise cancellati... more Abstract This paper describes a neural network speech enhancement system using a noise cancellation technique. Clean speech signals of each uttered digit in the Malay language are sampled from a single speaker in an almost noise free environment. Noisy speech signals are obtained by adding random noise to the clean signals. Noise cancellation is then performed on the noisy signals by using the ADALINE. Performance evaluation of the ADALINE is based on two methods: the signal-to-noise ratio (SNR) and by visual and ...
Abstract This paper proposes a new method to locate the source of harmonic either from the utilit... more Abstract This paper proposes a new method to locate the source of harmonic either from the utility or the customer from measurement made at the point of common coupling (PCC). The proposed method is called" voltage magnitude comparison method" because it compares the measured harmonic voltage at the PCC and the calculated voltage either at the utility side or at the customer side in the Thevenin equivalent circuit. The calculated voltage magnitude which is greater than the measured voltage at the PCC is considered as the ...
This article explores the application of DNA computing in recyclable waste paper sorting. The pri... more This article explores the application of DNA computing in recyclable waste paper sorting. The primary challenge in paper recycling is to obtain raw materials with the highest purity. In recycling, waste papers are segregated according to their various grades, and these are subjected to different recycling processes.Highly sorted paper streams facilitate high quality end products, while saving on processing chemicals and energy. In the industry, different sensors are used in paper sorting systems, namely, ultrasonic, lignin, gloss, stiffness, infra-red, mid-infra red, and color sensors. Different mechanical and optical paper sorting systems have been developed based on the different sensors. However, due to inadequate throughput and some major drawbacks related to mechanical paper sorting systems, the popularity of optical paper sorting systems has increased. The automated paper sorting systems offer significant advantages over the manual systems in terms of human fatigue, throughput, speed, and accuracy. This research has two objectives: (1) to use a web camera as an image sensor for the vision system in lieu of different sensors;and (2) to develop a new DNA computing algorithm based on the theme of template matching techniques for segregating recyclable waste papers according to paper grades. Using the concepts of replication and massive parallelism operations, the DNA computing algorithm can efficiently reduce the computational time of the template matching method. This is the main strength of the DNA computing algorithm in actual inspections. The algorithm is implemented by using a silicon-based computer to verify the success rate in paper grade identification.
International Journal of Electrical …, Jan 1, 2006
The determination of ATC must accommodate a reasonable range of capacity benefit margin (CBM) so ... more The determination of ATC must accommodate a reasonable range of capacity benefit margin (CBM) so that the operation of power system is secure from the generation deficiency that may occur during a power transfer. There are two ways of incorporating CBM into ATC, which are by considering the CBM as firm and non-firm transfers. The CBM for each area is specified based on the installed generation capacity that gives the loss-of-load expectation index below 2.4 h/year. The determination of CBM based on heuristic search for a large ...
Load shedding is some of the essential requirement for maintaining security of modern power syste... more Load shedding is some of the essential requirement for maintaining security of modern power systems, particularly in competitive energy markets. This paper proposes an intelligent scheme for fast and accurate load shedding using neural networks for predicting the possible loss of load at the early stage and neuro-fuzzy for determining the amount of load shed in order to avoid a cascading outage. A large scale electrical power system has been considered to validate the performance of the proposed technique in determining the amount of load shed. The proposed techniques can provide tools for improving the reliability and continuity of power supply. This was confirmed by the results obtained in this research of which sample results are given in this paper.
Knowledge-Based Intelligent Information …, Jan 1, 2010
In this paper, we propose a new method based on lip motion sequence and the Unconstrained Minimum... more In this paper, we propose a new method based on lip motion sequence and the Unconstrained Minimum Average Correlation Energy (UMACE) filter as a classifier for person identification. UMACE filter has advantages in terms of their characteristics such as distortion-tolerant, shift-invariant and high discrimination ability. Therefore, executing UMACE filter provides an ideal application for person identification because we deal with the variations of the lip appearance in each frame sequence. The results obtained using a ...
One of the growing needs in transmission planning is to provide accurate sim-ulation models of th... more One of the growing needs in transmission planning is to provide accurate sim-ulation models of the generator, excitation system, and governor; however, the degree of accuracy of the generator model is often questioned because model pa-rameters currently used may have ...
Abstract This paper highlights the artificial neural network (ANN) approach to perform the endpoi... more Abstract This paper highlights the artificial neural network (ANN) approach to perform the endpoint detection process, which involves the segmentation of speech signals from non-speech signals. Two ANN models have been proposed to perform endpoint detections of isolated digit utterances spoken in the Malay language: multilayer perceptron (MLP) and adaptive linear network (ADALINE). Results obtained from the ANN models are acoustically verified, visually checked and compared to the conventional method of endpoint detection. ...
Abstract This paper describes a neural network speech enhancement system using a noise cancellati... more Abstract This paper describes a neural network speech enhancement system using a noise cancellation technique. Clean speech signals of each uttered digit in the Malay language are sampled from a single speaker in an almost noise free environment. Noisy speech signals are obtained by adding random noise to the clean signals. Noise cancellation is then performed on the noisy signals by using the ADALINE. Performance evaluation of the ADALINE is based on two methods: the signal-to-noise ratio (SNR) and by visual and ...
Abstract This paper proposes a new method to locate the source of harmonic either from the utilit... more Abstract This paper proposes a new method to locate the source of harmonic either from the utility or the customer from measurement made at the point of common coupling (PCC). The proposed method is called" voltage magnitude comparison method" because it compares the measured harmonic voltage at the PCC and the calculated voltage either at the utility side or at the customer side in the Thevenin equivalent circuit. The calculated voltage magnitude which is greater than the measured voltage at the PCC is considered as the ...
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