Bayesian compressive sensing framework for spectrum reconstruction in Rayleigh fading channels

Compressive sensing (CS) is a novel digital signal processing technique that has found great interest in many applications including communication theory and wireless communications. In wireless communications, CS is particularly suitable for its application in the area of spectrum sensing for cognitive radios, where the complete spectrum under observation, with many spectral holes, can be modeled as a sparse wide-band signal in the frequency domain. Considering the initial works performed to exploit the benefits of Bayesian CS in spectrum sensing, the fading characteristic of wireless communications has not been considered yet to a great extent, although it is an inherent feature for all sorts of wireless communications and it must be considered for the design of any practically viable wireless system. In this paper, we extend the Bayesian CS framework for the recovery of a sparse signal, whose nonzero coefficients follow a Rayleigh distribution. It is then demonstrated via simulations that mean square error significantly improves when appropriate prior distribution is used for the faded signal coefficients and thus, in turns, the spectrum reconstruction improves. Different parameters of the system model, e.g., sparsity level and number of measurements, are then varied to show the consistency of the results for different cases

An approach to computing spectral shifts for black holes beyond Kerr

Recent measurements of gravitational-wave ringdown following the merger of binary black holes raise the prospect of precision black hole spectroscopy in the near future. To perform the most sensitive tests of the nature of black holes using ringdown measurements, it is critical to compute the deviations to the spectrum of black holes in particular extensions of relativity. These spectral shifts are also needed to interpret any violations of the predictions of relativity that may be detected during ringdown. Here we present a first step towards computing the shifts to the spectrum of Kerr black holes with arbitrary spins, by deriving a modified Teukolsky equation governing the perturbations of black holes in theories beyond GR. Our approach applies to a class of theories which includes dynamical Chern-Simons gravity and shift-symmetric scalar Gauss-Bonnet gravity, in the case where the deviations from relativity are small. This allows for a perturbative approach to solving the equations of motion. Further, we show how to use the modified equation to compute the leading-order spectral shifts of Kerr black holes, using eigenvalue perturbation methods. Our formalism provides a practical approach to predicting ringdown for black holes in a range of promising extensions to relativity, enabling future precision searches for their signatures in black hole ringdown.Comment: 23 pages, 1 figur

A look at the potential of big data in nurturing intuition in organisational decision makers

YesAs big data (BD) and data analytics having gain significance the industry expects helping executives will eventually move towards evidence based decision making. The hope is to achieve more sustainable competitive advantage for their organisations. A key question is whether executives make decisions by intuition. This leads to another question whether big data would ever substitute human intuition. In this research, the ‘mind-set’ of executives about application and limitations of big data be investigated by taking into account their decision making behaviour. The aim is to look deeply into how BD technologies facilitate greater intuitiveness in executives, and consequently lead to faster and sustainable business growth

Investigating library operational issues being faced by medical university librarians in Islamabad.

Medical libraries are continual sources of knowledge and information. Without this knowledge and information, there will be no researcher, teacher, and doctor. Libraries cannot share knowledge with knowledge seekers alone. In this scenario, the role of the librarian becomes very influential. A librarian is an information services provider. The providence of these services is dependent on the facilities which are required by librarians. Realizing the importance of this issue the researcher has carried out research to investigate issues faced by librarians while operating medical library services. This study was related to quantitative research methodology; therefore, the researcher adopted quantitative research methodology for this research work. The presented issue in this study was solved through collecting data, with the help of using different techniques associated with data collection techniques, description of collected data, analyzing collected data and then finding the solution to the problem after a detailed analysis of data. In this study, the university libraries located in Islamabad were the population of the study to collect data regarding library operational issues in medical university libraries in Islamabad. The findings of the study show that medical librarians are facing numerous issues. These issues are impending medical librarians to operate library services in effective and appropriate ways. So, this research work suggests that the budget of libraries should be increased, medical librarians should be trained to meet their challenges, and medical resources and digital resources ought to be augmented in the respective universities in Islamabad. The aforementioned strategies can be useful for medical libraries and can enable librarians to operate their library services in more influential and effective ways in terms of information providers

Role of Media and Judiciary in Public Policy Making in Pakistan: Evidence from Suo Moto Cases based on Media Reports

The role of mass media in policy agenda setting has been considered by an array of researchers. The mass media is not sole factor behind the policy agenda, but it is an important factor among several others. The agenda-setting theory assumes that the media possess the capability to relocate their agenda to the public agenda. Judiciary in Pakistan also seem to be influenced by the agenda-setting function of mass media. The study aims to examine the indirect influence of mass media on public policy by critically analysing the influence of judicial interventions in the form of suo motu on policy making in Pakistan. The time period of the study ranges from 2008 to 2013. The unit of analysis is a single case based on sou motu action taken by the Supreme Court of Pakistan (SCP). All the suo motu actions taken by the SCP based on media reports during the time period have been analysed. The data have been collected from the archives of the SCP and by overviewing the original court files of the cases. The contents analysis reveals that the SCP taken total 90 suo motu cases during the period, and out of these cases, 56 cases were based on media reports. The study further analyses the decisions in these cases influencing the policy making in Pakistan. The findings reveal that 19 court cases based on media reports have influenced the public policy making in Pakistan

Nexus of Transformational Leadership and Employees’ Job Performance in Telecom Sector Pakistan

Transformational leadership is credited to inspire, motivate and support their employees in order to achieve organizational objectives. These leaders maintain the quality of workforce by inculcating visionary skills and abilities in their subordinates. This paper aims to examine the nexus of transformational leadership with employees’ job performance in telecom sector of Pakistan. The data is collected from the employees of PTCL (Pakistan Telecommunications Company Limited) head quarter, Islamabad through questionnaire. Sampling was made using purposive sampling technique. 150 questionnaires were distributed among the employees, out of which 120 were received back recording a response rate of 80 percent. It was hypothesized that transformational leadership is positively associated with employees’ job performance. Data is analyzed using correlation and regression analysis through SPSS. Results of the study indicate that majority of the PTCL employees agree that transformational leadership style has significant positive impact on employees job performance. In the light of the findings of this research it is recommended for PTCL management to adopt transformational leadership style to tackle today’s dynamic environment

Is it too early to learn lessons from the developed world on the potential of big data technology: Harnessing and nurturing intuition in organisational decision makers

YesAs big data (BD) and data analytics gain significance in Europe, the industry expects that executives will eventually move towards evidence based decision making, and consequently would build sustainable competitive advantages for their organisations. Therefore, the lessons learned from experiences of European executives can be key for human development and also economic development. However, it also seems that in some cases decision makers in Europe seem to not use business intelligence systems at all. Since, executives are intelligent human beings with credible and proven expertise, it seems to raise a question mark on effectiveness of business intelligence systems, and the potential it has in human and economic development. Furthermore, repeated evaluation of literature pointed out that ultimately executives in Europe make decisions by intuition, and this leads to the question whether big data would ever replace intuition. In this paper, the mind-sets of executives about application and limitations of big data have been explored, by taking into account the cognitive factors in decision making. By using this, it is evaluated whether BD technologies can use to accelerate intuition development of the executives, and consequently lead to faster and sustainable economic development in the developing world

Developing of Institutional Repository in Public Sector University Libraries of Punjab, Pakistan

The target of this analysis to discover the current status of open source institutional repository software’s usage in the public sector university libraries of Punjab, Pakistan. Survey method was used by the researchers and a survey was adopted for information gathering. The target population of the investigation was library professionals of public sector universities in Punjab. Data was gathered from a sample of 135 university librarians using a convenience sampling approach. The analyses explored in which majority of library professionals have incorporated or are currently in the process of incorporating institutional repositories (IR) into their respective libraries which shows that library professionals are well aware about the importance of development/need of IR in this digital age. Further, this study revealed that most of the professionals preferred to use open source software i.e. D-Space for development of IR. Moreover, library professionals are of the view that IR software is a vital tool to organize the digital content/material. Further, IR software provides easy access to the users and enables them to provide efficient and effective services to their users. Furthermore, this study highlights that majority of participants were preferred to use those software which have the facility of customization, E-mail based sharing of books. Library professionals are satisfied with that IR software which is freely available, provide format for conversion of different digital files, and publishing digital contents. The study also highlights barriers which faced by majority of respondents i.e. selection of proper software while developing the Institutional Repository. The respondents also ranked lack of budget is another major barrier that forbade the development of IR followed by the selection of scanner technology, selection of material for digitization, institutional repository knowledge. The investigators will explore additional avenues for additional investigation through the lens of institutional repositories (IR)