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journal-basic-applied-scien

Spectral and Spatial Feature Extraction of Electroencephalographic (EEG) Data Using Independent Component Analysis (ICA)
Pages
104-113Creative Commons License

Wei Wang and Yan Liu
DOI: https://doi.org/10.6000/1927-5129.2017.13.16

Published: 12 April 2017

Abstract: Purpose of this research is to extract features associated with human brain signal related to electroencephalographic measurements and classification of extracted EEG signals to the relevant the brain region. EEG brain signals from 14 electrodes placed on the human scalp is recorded non-invasively using Emotiv EPOC / EPOC+:Scientific contextual EEG system with a sampling rate of 128 Hz. EEG data of human brain functions related to evoked motor imagery tasks consisting of two different classes of activities, namely imagination of right arm-movement i.e. arm down (termed here as PUSH) and arm up (termed here as PULL) for three healthy subjects is recorded. After pre-processing for noise and artifacts removal, the EEG signals associated with investigated evoked activities are extracted using Independent Component Analysis (ICA). The results obtained show good contrast plots for the extracted brain signals recorded on F7, FC5 and FC6 electrodes, decomposed on independent components, namely IC1, IC4, IC5, IC6. Classification of extracted features is mapped on to the motor imagery parts of human brain. The algorithm based on independent component analysis gives good results for feature extraction corresponding to evoked signals. Power spectra are also determined for the extracted independent components.

Keywords: Electroencephalogram, electrocorticogram, independent component analysis, brain computer interface, event related potential.

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journal-basic-applied-scien

Heritability Estimates for some Performances Traits of Baluchi Sheep
Pages
114-116Creative Commons License

Zahid Qadir, Hubdar Ali Kaleri, Rameez Raja Kaleri, Asma Kaleri, Mushtaque Ahmed Jalbani, Azhar Hussain Kaleri, Faisal Ashraf, Abdul Kabir and Ali Ghulam Bugti
DOI: https://doi.org/10.6000/1927-5129.2017.13.19

Published: 12 April 2017

Abstract: Present study was carried out to estimates the genetic parameters of Baluchi sheep during the year 2015 at Bhagnari cattle Cum Baluchi Sheep Farm Usta Muhammad, Baluchistan. The recorded data including (lactation yield and lactation length) was collected for the period 2005 to 2014.The results of current study revealed that average milk yield and lactation length was found 95.1±11.122kg and 123.60±8.44days of Baluchi sheep. The results for heritability and correlation estimates for lactation yield and lactation length was observed 0.113, 0.126 and 0.26, respectively. There was positive and low heritability and correlation was worked out for lactation yield and lactation length. Due to low results heritability and correlation estimates of some performance traits of Baluchi sheep, it was concluded that improvement can be achieved by process of mass selection.

Keywords: Baluchi sheep, heritability, correlation, milk yield, lactation length.

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journal-basic-applied-scien

Spatial Distribution of Noise Released from Iron and Steel Industry and their Effects on Human Health in the Lahore City, Pakistan
Pages
117-122Creative Commons License

Anum Liaqut, Isma Younes and Rakhshanda Sadaf
DOI: https://doi.org/10.6000/1927-5129.2017.13.20

Published: 12 April 2017

Abstract: This research investigates the phenomenon of perception of people about industrial noise pollution and its effects on human health. Thirty-six (36) industries were selected for estimation of noise levels and its effects on human health. Concurrently, samples of one hundred and fifty (150) respondents were also taken from nearby residential area, using random sampling method. The key tool of data collection was well-structured questionnaires consisting of twenty-one questions. Chi-Square test was used for examination of data, which illustrated effects of industrial noise on people living in industrial zone. The noise level results indicated that the mean values were exceeding permissible environmental standard used in Pakistan. Majority of respondents (50.6 %) were conscious about the basic reason of noise pollution in study area. Eighty-two percent (82%) people have opinion that old technology was the basic cause for noise pollution. It was shocking to see the results which indicate that 99.8% people are suffering from noise related diseases. This include 81.3% with increase anger, 81.5% with ear ache, 16% with ear discharge, 79.3% with high blood pressure, 78% with depression, 77.3% temporary hearing loss, 9.3% permanent hearing loss. Only 23.3% of people conduct regular hearing test.

Keywords: Noise, pollution, spatial distribution, GIS, SPSS, Buffers.

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journal-basic-applied-scien

Health Monitoring Considering Air Quality Index Prediction Using Neuro Fuzzy Inference Model: A Case Study of Lahore, Pakistan
Pages
123-132Creative Commons License

Saima Munawar, Muhammad Hamid, Muhammad Saleem Khan, Ashfaq Ahmed and Noreen Hameed
DOI: https://doi.org/10.6000/1927-5129.2017.13.21

Published: 12 April 2017

Abstract: For many years, improving air quality has been great attention of the whole world. It has been recognized that air pollution as a hypothetically hazardous type of environmental pollution and polluted air directly affects the human health. In Asian countries, it has converged less attention of ever growing most alarming and hazardous issue of air pollution. This paper presents a case study of Lahore city of Pakistan for the prediction of Air Quality Index (AQI) using hybrid approach of Neuro Fuzzy (NF) inference system. The ambient air data of Lahore was taken from the Environmental Protection Department (EPD) working under government of the Punjab. For results evaluation, data was recorded at different station in the period from April 2007 to May 2015. The fuzzy rules have been generated according to the Pakistan Environmental Protection Agency (PAK-EPA) standard of AQI. The NF Inference Model took the air pollutants such as Particulate Matter (PM2.5), Ozone (O3), Carbon Monoxide (CO), Sulphur Dioxide (SO2) and Nitrogen Dioxide (NO2) as inputs and predicted the air quality index as good, moderate, or unhealthy air. The results showed that NF based AQI prediction model classifies the AQI proficiently, robustly, and accurately as compared to conventional method.

Keywords: Air pollution, Fuzzy logic, Artificial Neural Network, Atmospheric Environment, Human Health effects, Air quality index.

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Effect of Dextrose Sugar on the Growth and Production of Oyster Mushroom (Pleurotus ostreatus) through Tissue Culture
Pages
139-142Creative Commons License

Amjad Ali Memon, Ghulam Sughra Mangrio, Arshad Ali Kaleri, Bharat Kumar, Mohsin Khan, Rameez Raja Kaleri, Hubdar Ali Kaleri, Sajid Hussain Kaleri and Niaz Ahmed Wahocho
DOI: https://doi.org/10.6000/1927-5129.2017.13.23

Published: 12 April 2017

Abstract: The study was conducted to investigate the dextrose sugar effect as carbon source on mycelial growth and production of Oyster mushroom (Pleurotus ostreatus). The experiment was performed in Mushroom Laboratory, Plant Pathology Section, Agriculture Research Institute, Tandojam, during 2013-2014. Mycelial growth was developed by using tissue culture on medium (PDA) potato dextrose agar with various concentrations of dextrose sugar. Analysis of variance for concentrations was statistically highly significant for all the parameters. In some cases among the different concentrations, 2.0% dextrose sugar showed after 2 days of micro propagation, the mycelial growth (1.9 cm) was recorded, followed by 1.5% dextrose sugar that showed (1.7 cm). The earlier spawn mycelia growth was observed in case of amending same 0/2% dextrose sugar (24.5 days). The pinhead first appeared (29.5 days) after the date of spawning by using 2.0% dextrose sugar. The minimum period (4.2 days) for maturation of mushroom fruiting body were recorded at 20% and 1.5% dextrose sugar. The maximum numbers of fruiting bodies (56.2) were observed with an application of dextrose sugar at 2.0%. The maximum number of bunches per bag (16.5) were harvested with an application of dextrose sugar 2.0%. The highest (350.5 g) fresh yield of Oyster mushroom Pleurotus ostreatus was recorded from 2.0% am ended of dextrose sugar.

Keywords: Oyster mushroom, carbon source, media, mycelia growth, tissue culture dextrose sugar.

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