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journal-basic-applied-scien

Comprehension and Intuition of the Sixth Sense Technology: A Survey Based Case Study of Pakistan
Pages
234-241Creative Commons License

S. Akhter Raza and Ahmer Umer

DOI: https://doi.org/10.6000/1927-5129.2017.13.40
Published: 10 May 2017

Abstract: This paper emphasize on the sixth sense technology which is estimated to be blowout worldwide in upcoming year. It is one of the latest technology which helps to tie the physical world with the digital world. Sixth Sense technology is a technology by means of which a system could be taught to distinguish and percept, and act in response as preferred in the real world objects.

To conduct the study a set of survey questions have been prepared and distributed among participants of selected groups. Therefore the result has been evaluated based on the pros and cons of the latest technology.

Researches have been made on this latest and most breathtaking technology which is thus far to be publicizing in the market. Distinctive realization methodology and the potential applications and prospect of such technology is under considerations.

Keywords: Sixth Sense Technology, Augmented Reality, Computer Vision, Human-Computer Interaction, Image, Evolution, Applications, WUW, Gesture Recognition, mobile device, RFID.

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journal-basic-applied-scien

Psychosocial Correlates of Psychological Distress among First Time Pregnant Mothers
Pages
242-247Creative Commons License

Farwa Rasheed and Urooj Sadiq

DOI: https://doi.org/10.6000/1927-5129.2017.13.41
Published: 12 May 2017

Abstract:  Objective: The study investigated the relation of marital relationship and social support with psychological distress in first time pregnant women.

Study Design: Correlational design.

Setting and Duration: The study was carried out in Lahore, Pakistan, over a period of six months.

Subjects and Methods: The sample of the present study includes 100 pregnant first time mothers. Sample of pregnant females was collected from the maternity ward of different hospital located in Lahore. Pregnant females included in sample were falling with the age range of 20-35 years, the minimum duration of their marriage was at least 2 years and minimum qualification was intermediate. Those women were selected who had no history of psychological problem and had never been on any kind of psychiatric/ psychological treatment (psychotropic medication /psychotherapy). The participants completed the Demographic Information sheet, Depression Anxiety and Stress Scale, Relationship assessment Scale and Social Provision Scale. Responses were scored according to the producer given in the manuals.

Results: Mean ± SD of age was 26.21 ± 2.8 years. Significant (p<.05) relationship was found between marital relationship and psychological distress among first time mothers whereas social support was also significant predictor of psychological distress among first time mothers.

Conclusion: It is to be concluded that quality of marital relationship and social support affects on psychological distress of first time pregnant women.

Keywords: First time pregnancy, Marital Relationship, Psychological Distress, Social Support.

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journal-basic-applied-scien

Water as Blue Economy for Sustainable Growth in Pakistan
Pages
248-258Creative Commons License

Rashid Aftab, Sana Naseem, Yasir Ameen and Zubair Safdar

DOI: https://doi.org/10.6000/1927-5129.2017.13.42
Published: 12 May 2017

Abstract: Water as Blue economy is a viable and prudent use of oceans and other water resources for the economic development of a country. Pakistan’s blue economic growth is heavily dependent on; aquatic life, agriculture, biotechnology, energy, health and recreational sector. The paper focuses the relationship of blue economy, i.e. water resources of Pakistan with respect to the several sectors and to investigate water as an economic commodity and highlighting the limiting factors which directly or indirectly affecting the blue economic development of the country thus suggesting the possible solution to overcome the barriers. The secondary data from 1992-2015 has been taken for the analysis of generation of blue capital in Pakistan. The contributing factors impeding the blue economy are; over-exploitation of oceanic resources, deterioration of water quality, lack of awareness and research activities for utilization of marine resources efficiently, bungling of water consumption practice in agriculture, dearth of consistent water ruling system, dilapidation of coastal ecosystem due to human activities, absence of infrastructure and technological advancement for energy production from stored or waste water, and lack of asset for the exploration of useful drugs and by-products from water sediment and in offshore energy production sector. The effective management and governance of available resources, especially for; Irrigation practices, political stability, effective policy framework, tangible investments in water-energy and technological sectors, accessibility of blue resources to the poor and under privilege community and efficient presiding system for the diminution of the synchronization gap between all controlling, monitoring and evaluation are required for viable blue economic development in Pakistan.

Keywords: Blue economy, GDP, Growth, Water Resources, Sustainable.

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journal-basic-applied-scien

Feature Extraction Using Independent Component Analysis Method from Non-Invasive Recordings of Electroencephalography (EEG) Brain Signals
Pages
259-267Creative Commons License

Muhammad Azhar, Ishfaque Ahmed, Syed Tanveer Iqbal, Muhammad Jahangir, Rizwan-ur-Rehman, Nasir Ali Shah and Imran Siddiqui

DOI: https://doi.org/10.6000/1927-5129.2017.13.43
Published: 12 May 2017

Abstract: Electroencephalography (EEG) is a well known procedure in neuroscience, performed to extract brain signal activity associated with voluntary and involuntary tasks. Scientists and researchers working in neuroscience are involved in the research of brain computer interfacing (BCI) and in improving the existing BCI systems. In BCI, it is possible for a person to control the external devices remotely using brain signals without neurophysical intervention. In the proposed work the new algorithm is introduced to extract the feature from EEG based recorded brain signals. The features are extracted for a specific motoryaction that is raising the right hand. The proposed algorithm is also verified from EEGLAB routines also based on Independent Component Analysis (ICA) method written in MATLAB platform.

Keywords: BCI, Electroencephalography, ERP, ICA, Infomax, SOBI, FastICA.

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