Quality of Deployment in Surveillance Wireless Sensor Networks

When wireless sensors are used to keep an area under surveillance, a critical issue is the quality of the deployment from the sensing coverage viewpoint. In this paper, we propose several quality measures, which indicate if the deployment provides sufficient coverage, or whether redeployment is required or not. The terrain is modeled as a grid and the placement of the sensors is uniformly distributed. Neyman–Pearson detection is utilized to determine the effects of false-alarm and signal characteristics on the measures.     

机载远程战场侦察雷达发展评述

主要说明顾固定冀和直升机载战场侦察雷达的特点,以及近年来机载战场侦察雷达的发展状况并展望今后的发展趋势。     

一种基于短消息通信的车辆监控中心实现方案

分析了常规的基于短消息通信的车辆监控中心在流量控制上的不足,提出了一种新的监控中心实现方案,介绍了该方案的系统组成、工作原理、软硬件设计等。实验结果表明：该方案可以有效地进行流量控制,提高了系统的性能。     

基于NC机的视频监控系统终端软件的设计与实现

网络计算机(NetworkComputer,NC)是一种基于网络计算环境的信息访问处理终端设备。文章介绍了一个可以在NC机上运行的远程视频监控系统终端软件的设计与实现。系统采用视频压缩卡采集并压缩图像,通过Internet传输数据,基于GTK开发终端用户界面,系统资源占用较小、界面友好。文中还介绍了采用GTK实现用户界面过程中所解决的技术难点。     

Fish Quality Index Method: Principles,weaknesses, validation,and alternatives—A review

Fish is a high nutritional value matrix of which production and consumption have been increasing in the last years. Advancements in the efficient evaluation of freshness are essential to optimize the quality assessment, to improve consumer safety, and to reduce raw material losses. Therefore, it is necessary to use rapid, nondestructive, and objective methodologies to evaluate the quality of this matrix. Quality Index Method (QIM) is a tool applied to indicate fish freshness through a sensory evaluation performed by a group of assessors. However, the use of QIM as an official method for quality assessment is limited by the protocol, sampling size, specificities of the species, storage conditions, and assessor's experience, which make this method subjective. Also, QIM may present divergences regarding the development of microorganisms and chemical analysis. In this way, novel quality evaluation methods such as electronic noses, electronic tongues, machine vision system, and colorimetric sensors have been proposed, and novel technologies such as proteomics and mitochondrial analysis have been developed. In this review, the weaknesses of QIM were exposed, and novel methodologies for quality evaluation were presented. The consolidation of these novel methodologies and their use as methods of quality assessment are an alternative to sensory methods, and their understanding enables a more effective fish quality control.     

FOUR APPROACHES TO THE STUDY OF AGEING IN INDUSTRY

Accurate reporting of work-related conditions is necessary to monitor workplace health and safety, and to identify the interventions that are most needed. Reporting systems may be designed primarily for external agencies (OSHA or workers' compensation) or for the employer's own use. Under-reporting of workplace injuries and illnesses is common due to a variety of causes and influences. Based on previous reports, the authors were especially interested in the role of safety incentive programmes on under-reporting. Safety incentive programmes typically reward supervisors and employees for reducing workplace injury rates, and thus may unintentionally inhibit proper reporting. The authors describe a case study of several industrial facilities in order to illustrate the extent of under-reporting and the reasons for its occurrence. A questionnaire and interview survey was administered to 110 workers performing similar tasks and several managers, health, and safety personnel at each of three industrial facilities. Although less than 5% of workers had officially reported a work-related injury or illness during the past year, over 85% experienced work-related symptoms, 50% had persistent work-related problems, and 30% reported either lost time from work or work restrictions because of their ailment. Workers described several reasons for not reporting their injuries, including fear of reprisal, a belief that pain was an ordinary consequence of work activity or ageing, lack of management responsiveness after prior reports, and a desire not to lose their usual job. Interviews with management representatives revealed administrative and other barriers to reporting, stemming from their desire to attain a goal of no reported injuries, and misconceptions about requirements for recordability. The corporate and facility safety incentives appeared to have an indirect, but significant negative influence on the proper reporting of workplace injuries by workers. A variety of influences may contribute to under-reporting; because of under-reporting, worker surveys and symptom reports may provide more valuable and timely information on risks than recordable injury logs. Safety incentive programmes should be carefully designed to ensure that they provide a stimulus for safety-related changes, and to discourage under-reporting. A case-control study of similar establishments, or data before and after instituting safety incentives, would be required to more clearly establish the role of these programmes in under-reporting.     

Data-driven methods for present and future pandemics: Monitoring,modelling and managing

This survey analyses the role of data-driven methodologies for pandemic modelling and control. We provide a roadmap from the access to epidemiological data sources to the control of epidemic phenomena. We review the available methodologies and discuss the challenges in the development of data-driven strategies to combat the spreading of infectious diseases. Our aim is to bring together several different disciplines required to provide a holistic approach to epidemic analysis, such as data science, epidemiology, and systems-and-control theory. A 3M-analysis is presented, whose three pillars are: Monitoring, Modelling and Managing. The focus is on the potential of data-driven schemes to address three different challenges raised by a pandemic: (i) monitoring the epidemic evolution and assessing the effectiveness of the adopted countermeasures; (ii) modelling and forecasting the spread of the epidemic; (iii) making timely decisions to manage, mitigate and suppress the contagion. For each step of this roadmap, we review consolidated theoretical approaches (including data-driven methodologies that have been shown to be successful in other contexts) and discuss their application to past or present epidemics, such as Covid-19, as well as their potential application to future epidemics.     

Track me,track me not: Support and consent to state and private sector surveillance

The current study examines consent to surveillance and identifies links between support for state surveillance and consent to surveillance by private entities. Contrary to a tendency in academic literature and public debates to consider private and state surveillance as a single phenomenon in terms of methods, magnitude, and practice, findings show that individuals distinguish between these two types of surveillance when it comes to compliance and consent. Support for state surveillance is much more widespread and does not correlate with consent to private sector surveillance. Furthermore, support and consent to surveillance are rather nuanced, with different factors predicting different types of surveillance, according to the justifications and contexts of surveillance methods: Private sector surveillance is predicted by the compensation offered to subjects, factors related to behavior in online social networks and age. With regard to state surveillance- support varies between surveillance as part of the war against terrorism, which is most common and predicted by political trust and support for other types of state surveillance, surveillance for security reasons which is predicted by age, political interest, political orientation and support for anti-terror surveillance, and surveillance in general- which is least common and predicted by religiosity, level of privacy settings in SNS, political trust and anti-terror surveillance.