Background. Brain computer interface (BCI) is a combination of software and hardware communication protocols that allow brain to control external devices. Main purpose of BCI controlled external devices is to provide communication medium for disabled persons. Now these devices are considered as a new way to rehabilitate patients with impunities. There are certain potentials present in electroencephalogram (EEG) that correspond to specific event. Main issue is to detect such event related potentials online in such a low signal to noise ratio (SNR). In this paper we propose a method that will facilitate the concept of online processing by providing an efficient filtering implementation in a hardware friendly environment by switching to finite impulse response (FIR). Main focus of this research is to minimize latency and computational delay of preprocessing related to any BCI application. Four different finite impulse response (FIR) implementations along with large Laplacian filter are implemented in Xilinx System Generator. Efficiency of 25% is achieved in terms of reduced number of coefficients and multiplications which in turn reduce computational delays accordingly.

ASEAN J. Sci. Technol. Dev., 28(2): 139 -150 Pakistan is facing acute water deficiency, its water resources have been declining day by day on account of diversified environmental and erroneous water management issues. The available water is being contaminated at a deplorable rate owing to the dumping of untreated domestic and industrial effluent together with agricultural/surface runoff into the receiving waterways. Clean drinking water is therefore only accessible to 18% of its population and the rest of the population are getting polluted drinking water, as designated by the required WHO standards (PCRWR 2005). Moreover, it is an admitted truth that Pakistan has a deficient energy sector despite the fact that it has ample potential for its production. The energy supply deficiency also applies to the electricity sector. Bio-gas is however playing a key role in this sector, which is approximately equal to 37% of the total energy production. Since, it's the most cost-effective and environmentally friendly source of energy, it requires more awareness and consideration for it to undertake the resolution of the energy crises Assessment of the Treatment of Textile Mill EffluentUsing UASB Reactor This study was designed to evaluate the feasibility of the treatment of actual textile mill effluent using a upflow anaerobic sludge blanket (UASB) reactor. The main objective of this study was to generate design aids; in terms of organic loading rate (OLR), hydraulic retention time (HRT) versus chemical oxygen demand (COD) and colour removal in the textile effluent using a UASB reactor at neutral pH and constant mesophilic temperature. The COD, colour and total suspended solids concentration of the textile wastes used in the study were analyzed as 5440 mg/l, 3280 mg/l, 2320 units and 955 mg/l, respectively. The UASB reactor was started up by gradually increasing the OLR from 0.2 kg-COD/m 3 -day to 2.6 kg-COD/m 3 -day in order to prevent an organic shock to the reactor. Similarly, the hydraulic retention time (HRT) was slowly reduced from 58 h to 8 h to prevent the wash-out of sludge from the reactor. It was observed that more than 80% of COD and colour could be effectively removed at an OLR of 2.2 kg-m 3 /d and HRT of 20 h. At optimum operating conditions, the effluent volatile fatty acid concentration was observed to be 430 mg/l. The average biogas production observed during this study was 0.34 l/g-COD removed and it was composed of 58% methane. During the course of maturity of granular sludge, its effective size and settling velocity were observed to increase exponentially as 0.261e 0.051x and 1.91e 0.017x respectively. The overall observed biomass yield (Y obs ) for the experimental period was calculated as 0.049 g-VSS/g-COD rem . This study suggests that the use of a UASB reactor for textile mill effluent is a fairly feasible and viable option.