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Based on interviews with 27 victims’ family members and survivors, this chapter explores how memory of the Oklahoma City bombing was constructed through participation in groups formed after the bombing and participation in the trials of Timothy McVeigh and Terry Nichols. It first addresses the efficacy of a collective memory perspective. It then describes the mental context in which interviewees joined groups after the bombing, the recovery functions groups played, and their impact on punishment expectations. Next, it discusses a media-initiated involuntary relationship between McVeigh and interviewees. Finally, this chapter examines execution witnesses’ perceptions of communication with McVeigh in his trial and execution.

This paper presents an approach for developing critical skills necessary for competition in the future. The study combines the methodology of designing scenarios with the methodology of defining competencies by a transition from future scenarios to skills, based on product scenarios. Product scenarios indicate concrete alternative future products that are key sources for identifying future skills. The approach has been applied to the security equipment sector in Turkey. The product, closed circuit television (CCTV) system is chosen to illustrate the process.

This chapter aims to make a contribution to recent debates on the ‘governance of security’ (Johnston & Shearing, 2003) by drawing upon empirical research conducted by the author and other writers on ‘plural policing’ and the construction of closed circuit television (CCTV) surveillance networks. The chapter attempts to avoid the tendency in some of the ‘governmentality’ literature to ‘airbrush out the state’ (Hughes, 2007, p. 184), whilst at the same time showing that the aims and intentions of dominant state forces and elites are not always realised in practice. The chapter also tries to avoid any simplistic notion of a shift in policing strategies from ‘crime fighting’ to ‘risk management’. The aim instead is to show how the construction of surveillance networks is blurring the boundaries of the ‘public–private’ divide along the ‘sectoral’, ‘geographical’, ‘spatial’, ‘legal’ and ‘functional’ dimensions (Jones & Newburn, 1998), giving rise to a plural policing continuum.

This chapter is about the politics of surveillance and more specifically about the politics of siting public closed circuit television (CCTV) systems within urban neighborhoods. Through an exploration of political contests waged around attempts by local police to install public surveillance systems in the City of Vancouver's Downtown Eastside and Granville Mall districts, we argue that the success of public surveillance proposals is hardly inevitable. Instead, a combination of local factors play vital roles in variously supporting or constraining such attempts. Although this present chapter can be read as providing a useful counterpoint to the dominance of accounts about such developments in Great Britain, where public CCTV is a routine fact of daily urban life, we conclude on a cautionary note: with the current proliferation of public and private forms of surveillance throughout urban spaces, surveillance analysts risk missing the forest for the trees if we only concentrate on the fate of one surveillance tool or tactic.

This chapter demonstrates that while in most late modern societies there is a neoliberal hegemony to expand police Closed-Circuit Television (CCTV) surveillance for crime control and antiterrorism, in Greece there is serious controversy and resistance against the post-Olympic use of more than 1,200 Olympic CCTV cameras. Drawing on the interesting politics of CCTV expansion and resistance, the chapter traces the reasons why, in the Greek context, this very expensive Olympic surveillance “dowry” has been opposed, even for traffic control. It critically attributes Greek citizens’ fear and mistrust primarily to their past police-state experience of authoritarian, thought-control surveillance.

One of the most neglected sources of energy loss is streetlights that generate too much light in areas where it is not required. Energy waste has enormous economic and environmental effects. In addition, due to the conventional manual nature of operation, streetlights are frequently seen being turned ‘ON’ during the day and ‘OFF’ in the evening, which is regrettable even in the twenty-first century. These issues require automated streetlight control in order to be resolved. This study aims to develop a novel streetlight controlling method by combining a smart transport monitoring system powered by computer vision technology with a closed circuit television (CCTV) camera that allows the light-emitting diode (LED) streetlight to automatically light up with the appropriate brightness by detecting the presence of pedestrians or vehicles and dimming the streetlight in their absence using semantic image segmentation from the CCTV video streaming. Consequently, our model distinguishes daylight and nighttime, which made it feasible to automate the process of turning the streetlight ‘ON’ and ‘OFF’ to save energy consumption costs. According to the aforementioned approach, geo-location sensor data could be utilised to make more informed streetlight management decisions. To complete the tasks, we consider training the U-net model with ResNet-34 as its backbone. Validity of the models is guaranteed with the use of assessment matrices. The suggested concept is straightforward, economical, energy-efficient, long-lasting and more resilient than conventional alternatives.