Research Article
Future Role of Digital Platform of Community Policing in Malawi
Issue:
Volume 13, Issue 2, December 2024
Pages:
84-96
Received:
26 August 2024
Accepted:
18 September 2024
Published:
29 September 2024
Abstract: Internet evolution and digital platform popularity have revolutionized citizens participation in public security administration. However, digital platform ecosystem and functionality remains underexplored. Study examines the future role of digital platform for citizens participation in community policing in Malawi. Within frame work of exploratory sequential mixed methods, focus group discussion interviews purposively selected four groups of 10 respondents each, and used interview guide for data collection. Survey randomly sampled 432 households using Yamene (1969) formular to distribute structured questionnaires for data collection. Interviews were written on script then coded, later grouped into sub themes and finally into themes which corresponded to research questions aided by NVivo application. The survey was analyzed through SPSS version 20 to come up with descriptive statistics. Using pragmatics philosophical paradigm, broken window, democratic participation and social-disorganization theories, the study revealed that citizens may be encouraged to participate on digital platform in community policing by; (a) providing training to citizens on digital crime prevention and safety measures, (b) offering incentives or rewards to citizens who participate in neighborhood safety and security digital initiatives, (c) using social media and other digital platforms to raise awareness and encourage citizen participation, (d) creating more opportunities for citizen-police collaboration and dialogue through social media. Multinominal logistic regression shows gender may have impact on the future role of digital platform of community policing; (i) gain communications between police and community, (ii) detect a wider variety of insecurities (Transparency), (iii) promote the effective use of limited resources, (iv) move beyond the customary bureaucratic procedures at p=.017, (v) gain participation of women, minorities, and vulnerable population at p=.459, (vi) contribute to empowerment of the community at p=.003. Solutions to challenges of digital platform of community policing use are; (1) awareness (Sensitization) Campaign, (2) capacity building on the usage of ICT tools, (3) make available ICT merchant selling and maintenance points, (4) usage of Solar Powered ICT and (5) Place coordinated governance mechanisms. While previous scholars have argued that digital platform has allowed formal and non-formal wide participation, as well as increase transparency and accountability to police officers in handling policing issues and empowering citizens to take part in security of their times. Current revelation points that harnessing and promotion of digital platform gives chance to revolution for transformation that may influence accountability of public security administration to provide quality public services for better life to the challenges of the time.
Abstract: Internet evolution and digital platform popularity have revolutionized citizens participation in public security administration. However, digital platform ecosystem and functionality remains underexplored. Study examines the future role of digital platform for citizens participation in community policing in Malawi. Within frame work of exploratory ...
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Research Article
Detection of Practical Primary Users in Severe Noise Environments for Cognitive Radio
Issue:
Volume 13, Issue 2, December 2024
Pages:
97-107
Received:
21 August 2024
Accepted:
18 September 2024
Published:
31 October 2024
DOI:
10.11648/j.ajnc.20241302.12
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Abstract: Cognitive radio (CR) is one of the compelling ideas to solve the spectrum scarcity problem for rapid developments in wireless communication systems. In CR systems, signal detection for orthogonal frequency division multiplexing (OFDM) systems in severe noise environments is a key challenge. The area of practical primary user detection has not been explored in depth. The proposed method is an effective method for sensing OFDM applications, which are the practical primary users, for low signal-to-noise (SNR) cases. In the proposed method, the parallel combination of the comb filter and the time-domain autocorrelation function is exploited. The detection performance is measured for various OFDM system applications, including the IEEE 802.11a wireless LAN (WLAN) radio interface, long-term evaluation (LTE), and digital audio broadcasting (DAB) for various CP ratios under 16-quadrature amplitude modulation (16-QAM) and 64-quadrature amplitude modulation (64-QAM) over multipath Rayleigh fading channels with additive white Gaussian noise (AWGN). Furthermore, the OFDM sensing is possible in the presence of noise uncertainty and the sensing performance is compared under consideration with and without noise uncertainty cases. The simulation results demonstrated that our proposed method undoubtedly improves the sensing performances (up to 11 dB SNR gain) of practical primary users more than the conventional spectrum detection methods for low SNR cases.
Abstract: Cognitive radio (CR) is one of the compelling ideas to solve the spectrum scarcity problem for rapid developments in wireless communication systems. In CR systems, signal detection for orthogonal frequency division multiplexing (OFDM) systems in severe noise environments is a key challenge. The area of practical primary user detection has not been ...
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,
Mavuto Tembo,
Zubair Ahmad,
Chrispin Mphande,
Dorah Kaunda
