Analysis of Alamouti Based Space Frequency Block Code Over Rayleigh Fading

Sehrish khan,Malaya Das,S. M. Shamsul Alam 조선대학교 IT연구소 2015 정보기술융합공학논문지 Vol.5 No.2

Presentation Delay in Breast Cancer Patients, Identifying the Barriers in North Pakistan

Khan, Muhammad Aleem,Shafique, Sehrish,Khan, Muhammad Taha,Shahzad, Muhammad Faheem,Iqbal, Sundas Asian Pacific Journal of Cancer Prevention 2015 Asian Pacific journal of cancer prevention Vol.16 No.1

Background: There is strong evidence that delayed diagnosis of breast cancer is associated with poor survival. Our objectives were to determine the frequency of breast cancer patients with delayed presentation, the reasons of delay and its association with different socio-demographic variables in our North Pakistan setting. Materials and Methods: We interviewed 315 histologically confirmed breast cancer patients. Delay was defined as more than 3 months from appearance of symptoms to consultation with a doctor. Questions were asked from each patient which could reflect their understanding about the disease and which could be the likely reasons for their delayed presentation. Results: 39.0 % (n=123) of patients presented late and out of those, 40.7% wasted time using alternative medicines; 25.2 % did not having enough resources; 17.1 % presented late due to painless lump; 10.6% felt shyness and 6.5% presented late due to other reasons. Higher age, negative family history, < 8 school years of education and low to middle socio-economic status were significantly associated with delayed presentation (p< 0.05). Education and socioeconomic status were two independent variables related to the delayed presentation after adjustment for others (OR of 2.26, 2.29 and 95%CI was 1.25-4.10, 1.06-4.94 respectively). Conclusions: Significant numbers of women with breast cancer in North Pakistan experience presentation delay due to their misconceptions about the disease. Coordinated efforts with public health departments are needed to educate the focused groups and removing the barriers identified in the study. Long term impact will be reduced overall burden of the disease in the region.

Mean-VaR Portfolio: An Empirical Analysis of Price Forecasting of the Shanghai and Shenzhen Stock Markets

Liu, Ximei,Latif, Zahid,Xiong, Daoqi,Saddozai, Sehrish Khan,Wara, Kaif Ul Korea Information Processing Society 2019 Journal of information processing systems Vol.15 No.5

Stock price is characterized as being mutable, non-linear and stochastic. These key characteristics are known to have a direct influence on the stock markets globally. Given that the stock price data often contain both linear and non-linear patterns, no single model can be adequate in modelling and predicting time series data. The autoregressive integrated moving average (ARIMA) model cannot deal with non-linear relationships, however, it provides an accurate and effective way to process autocorrelation and non-stationary data in time series forecasting. On the other hand, the neural network provides an effective prediction of non-linear sequences. As a result, in this study, we used a hybrid ARIMA and neural network model to forecast the monthly closing price of the Shanghai composite index and Shenzhen component index.

Drag reduction on a square cylinder using multiple detached control cylinders

Shams-Ul-Islam,Raheela Manzoor,Umar Khan,Ghazala Nazeer,Sehrish Hassan 대한토목학회 2018 KSCE JOURNAL OF CIVIL ENGINEERING Vol.22 No.5

A two-dimensional numerical simulation for flow over a main cylinder with detached controlling cylinders placed at differentposition is performed through Lattice Boltzmann Method (LBM) to reduce fluid forces. For this study the Reynolds number (Re) isfixed at 160, while gap ratio between these cylinders are taken in the range from 0.5 to 8. The results yield in terms of vorticity, timeseriesanalysis of drag and lift coefficients, power spectra of lift coefficients and force statistics. Depending on gap spacing, flow isclassified into four different patterns, called as (i) single blender body, (ii) shear layer reattachment, (iii) fully developed flow and (iv)vortex suppression fully developed flow patterns. In comparison of all three configurations, it is examined that the maximum value ofCdmean and Strouhal number occurs for downstream configuration. Whereas, upstream and dual configuration play a vital role toreduce forces and to suppress vortex shedding. The maximum reduction found in mean drag coefficient for downstream, upstreamand for dual configuration is 8.3%, 51% and 50.8%, respectively. Whereas, the reduction in Clrms values for all three configurationsis 84.4%, 58.2% and 86.4% , respectively.

Mean-VaR Portfolio: An Empirical Analysis of Price Forecasting of the Shanghai and Shenzhen Stock Markets

Ximei Liu,Zahid Latif,Daoqi Xiong,Sehrish Khan Saddozai,Kaif Ul Wara 한국정보처리학회 2019 Journal of information processing systems Vol.15 No.5

Stock price is characterized as being mutable, non-linear and stochastic. These key characteristics are known tohave a direct influence on the stock markets globally. Given that the stock price data often contain both linearand non-linear patterns, no single model can be adequate in modelling and predicting time series data. Theautoregressive integrated moving average (ARIMA) model cannot deal with non-linear relationships, however,it provides an accurate and effective way to process autocorrelation and non-stationary data in time seriesforecasting. On the other hand, the neural network provides an effective prediction of non-linear sequences. Asa result, in this study, we used a hybrid ARIMA and neural network model to forecast the monthly closing priceof the Shanghai composite index and Shenzhen component index.

Adoption of Big Data Technologies for Communication Management in Large Projects

Suhail Memon,Wang Changfeng,Shahid Rasheed,Zulfiqar Hussain Pathan,Sehrish Khan Saddozai,QiuYixin,Liu Yanping 보안공학연구지원센터 2016 International Journal of Future Generation Communi Vol.9 No.10

Big data introduced several novel opportunities for many organizations worldwide. Big data technologies are now available for businesses of all scales and the organizations are adopting them increasingly to capitalize on various business gains. In this era of growing projects globally, big data is not only assisting in information exchange but also bringing convenience for communication management in large scale projects. This study assesses the level of awareness of communication management professionals regarding Big Data technologies and analyzes the contribution of different factors responsible for the rate of adoption of big data technologies for communication management in large projects. The study is based on online surveys and interviews of different organizations and the academia. The findings show that, among others, fear of job loss is a major hindrance while the enhanced information mobility is the major accelerator towards the adoption of big data technologies for communication management. It further establishes that unawareness of the professionals towards big data technologies plays a negative role in their acceptance.

Sustaining Low-Carbon Emission Development: An Energy Efficient Transportation Plan for CPEC

Zubedi, Asma,Jianqiu, Zeng,Arain, Qasim Ali,Memon, Imran,Khan, Sehrish,Khan, Muhammad Saad,Zhang, Ying Korea Information Processing Society 2018 Journal of information processing systems Vol.14 No.2

Climate change has become a major challenge for sustainable development of human society. This study is an attempt to analyze existing literature to identify economic indicators that hamper the process of global warming. This paper includes case studies based on various countries to examine the nexus for environment and its relationship with Foreign Direct Investment, transportation, economic growth and energy consumption. Furthermore, the observations are analyzed from the perspective of China-Pakistan Economic Corridor (CPEC) and probable impact on carbon emission of Pakistan. A major portion of CPEC investment is allocated for transportation. However, it is evident that transportation sector is substantial emitter of carbon dioxide (CO2) gas. Unfortunately, there is no empirical work on the subject of CPEC and carbon emission for vehicular transportation. This paper infers that empirical results from various other countries are ambiguous and inconclusive. Moreover, the evidence for the pollution haven hypothesis and the halo effect hypothesis is limited in general and inapplicable for CPEC in particular. The major contribution of this study is the proposal of an energy efficient transportation model for reducing CO2 emission. In the end, the paper suggests strategies to climate researchers and policymakers for adaptation and mitigation of greenhouse gases (GHG).

Sustaining Low-Carbon Emission Development: An Energy Efficient Transportation Plan for CPEC

( Asma Zubedi ),( Zeng Jianqiu ),( Qasim Ali Arain ),( Imran Memon ),( Sehrish Khan ),( Muhammad Saad Khan ),( Ying Zhang ) 한국정보처리학회 2018 Journal of information processing systems Vol.14 No.2

Climate change has become a major challenge for sustainable development of human society. This study is an attempt to analyze existing literature to identify economic indicators that hamper the process of global warming. This paper includes case studies based on various countries to examine the nexus for environment and its relationship with Foreign Direct Investment, transportation, economic growth and energy consumption. Furthermore, the observations are analyzed from the perspective of China-Pakistan Economic Corridor (CPEC) and probable impact on carbon emission of Pakistan. A major portion of CPEC investment is allocated for transportation. However, it is evident that transportation sector is substantial emitter of carbon dioxide (CO2) gas. Unfortunately, there is no empirical work on the subject of CPEC and carbon emission for vehicular transportation. This paper infers that empirical results from various other countries are ambiguous and inconclusive. Moreover, the evidence for the pollution haven hypothesis and the halo effect hypothesis is limited in general and inapplicable for CPEC in particular. The major contribution of this study is the proposal of an energy efficient transportation model for reducing CO2 emission. In the end, the paper suggests strategies to climate researchers and policymakers for adaptation and mitigation of greenhouse gases (GHG).