Innovative Data Collection Techniques Research Articles

Recent advances in crack detection technologies for structures: a survey of 2022-2023 literature

IntroductionCracks, as structural defects or fractures in materials like concrete, asphalt, and metal, pose significant challenges to the stability and safety of various structures. Addressing crack detection is of paramount importance due to its implications for public safety, infrastructure integrity, maintenance costs, asset longevity, preventive maintenance, economic impact, and environmental considerations.MethodsIn this survey paper, we present a comprehensive analysis of recent advancements and developments in crack detection technologies for structures, with a specific focus on articles published between 2022 and 2023. Our methodology involves an exhaustive search of the Scopus database using keywords related to crack detection and machine learning techniques. Among the 129 papers reviewed, 85 were closely aligned with our research focus.ResultsWe explore datasets that underpin crack detection research, categorizing them as public datasets, papers with their own datasets, and those using a hybrid approach. The prevalence and usage patterns of public datasets are presented, highlighting datasets like Crack500, Crack Forest Dataset (CFD), and Deep Crack. Furthermore, papers employing proprietary datasets and those combining public and proprietary sources are examined. The survey comprehensively investigates the algorithms and methods utilized, encompassing CNN, YOLO, UNet, ResNet, and others, elucidating their contributions to crack detection. Evaluation metrics such as accuracy, precision, recall, F1-score, and IoU are discussed in the context of assessing model performance. The results of the 85 papers are summarized, demonstrating advancements in crack detection accuracy, efficiency, and applicability.DiscussionNotably, we observe a trend towards using modern and novel algorithms, such as Vision Transformers (ViT), and a shift away from traditional methods. The conclusion encapsulates the current state of crack detection research, highlighting the integration of multiple algorithms, expert models, and innovative data collection techniques. As a future direction, the adoption of emerging algorithms like ViT is suggested. This survey paper serves as a valuable resource for researchers, practitioners, and engineers working in the field of crack detection, offering insights into the latest trends, methodologies, and challenges.

Revealing microhabitat requirements of an endangered specialist lizard with LiDAR

A central principle of threatened species management is the requirement for detailed understanding of species habitat requirements. Difficult terrain or cryptic behaviour can, however, make the study of habitat or microhabitat requirements difficult, calling for innovative data collection techniques. We used high-resolution terrestrial LiDAR imaging to develop three-dimensional models of log piles, quantifying the structural characteristics linked with occupancy of an endangered cryptic reptile, the western spiny-tailed skink (Egernia stokesii badia). Inhabited log piles were generally taller with smaller entrance hollows and a wider main log, had more high-hanging branches, fewer low-hanging branches, more mid- and understorey cover, and lower maximum canopy height. Significant characteristics linked with occupancy were longer log piles, an average of three logs, less canopy cover, and the presence of overhanging vegetation, likely relating to colony segregation, thermoregulatory requirements, and foraging opportunities. In addition to optimising translocation site selection, understanding microhabitat specificity of E. s. badia will help inform a range of management objectives, such as targeted monitoring and invasive predator control. There are also diverse opportunities for the application of this technology to a wide variety of future ecological studies and wildlife management initiatives pertaining to a range of cryptic, understudied taxa.

The impact of COVID-19 on rheumatology patients in a large UK centre using an innovative data collection technique: prevalence and effect of social shielding.

ObjectivesWe sought to gain insight into the prevalence of COVID-19 and the impact stringent social distancing (shielding) has had on a large cohort of rheumatology (RD) follow-up patients from a single large UK centre.MethodsWe linked COVID-19-related deaths, screening and infection rates to our RD population (1.2.20–1.5.20) and audited active rheumatology follow-up patients through survey data communicated via a linked mobile phone SMS message. We assessed epidemiology, effect of stringent social distancing (shielding) and quality of life (HRQoL) by Short Form 12 (SF12).ResultsThere were 10,387 active follow-up patients, 7911 had linked mobile numbers. 12/10,387 RD patients died from COVID-19 (0.12%); local population 4131/7,415,149 (0.12%). For patients with mobile phones, 1693/7911 (21%) responded and of these, 1605 completed the SF12. Inflammatory arthritis predominated 1174/1693 (69%); 792/1693 (47%) were shielding. Advice on shielding/distancing was followed by 1372/1693(81%). 61/1693 (4%) reported COVID-19 (24/61 shielding); medication distribution was similar in COVID and non-COVID patients. Mental SF12 (MCS) but not physical (PCS) component scores were lower in COVID (60) vs. non-COVID (1545), mean differences: MCS, − 3.3; 95% CI − 5.2 to − 1.4, P < 0.001; PCS, − 0.4; 95% CI, − 2.1 to 1.3). In 1545 COVID-negative patients, those shielding had lower MCS (− 2.1; 95% CI − 2.8 to − 1.4) and PCS (− 3.1, 95% CI − 3.7 to − 2.5), both P < 0.001.ConclusionsOur full RD cohort had no excess of COVID deaths compared to the general local population. Our survey data suggest that shielding adversely affects both mental and physical health in RD. These data broaden our understanding of shielding, indicating need for further study.

A Qualitative Exploration of South Korean Emerging Adults' Perspectives on Death and Suicide Through Short Stories.

Despite the alarming suicide rate among South Korean emerging adults, relatively little is known about their unfettered perspectives on death and suicide. Therefore, an innovative data collection technique was developed to apprehend the meanings that emerging adults attribute to death and suicide in their explorations of the phenomena through a selection of short stories. A convenience sample (N = 114) responded to a survey in which participants transferred their feelings toward death and suicide to characters or events in the short stories. A qualitative content analysis revealed relatively permissive perspectives toward death and suicide. Negative perspectives on death are associated with societal victimization and positive perspectives with naturalistic fatalism. Positive perspectives on suicide are overwhelmingly rooted in existential, individual choices while negative perspectives focus on societal pressures. These perspectives contribute to illuminating tensions between traditionalist collectivism and contemporary individualism in Korean society that could inform suicide prevention initiatives for emerging adults.

Guidance for Research on Social Isolation, Loneliness, and Participation Among Older People: Lessons From a Mixed Methods Study

This article provides methodological guidance to researchers wishing to develop collaborative research projects with local governments and other agencies, by describing the process adopted in a mixed methods study conducted in the City of Wanneroo (the City), a local government area in Perth, Western Australia. The study explored factors related to older people’s (60+ years) participation in community-based activities and links between their participation and levels of social isolation, loneliness, and social connectedness. The research incorporated four interrelated stages: (1) an audit of existing programs in the City and program participant characteristics; (2) focus groups with program participants and interviews with nonparticipants; (3) a cross-sectional survey to assess factors associated with participation and links to social isolation, loneliness, and social connectedness; (4) face-to-face interviews with survey respondents screened at risk for loneliness. Methodological recommendations are provided to guide future collaborative research with local authorities, program developers, and administrators, aimed at minimizing social isolation and loneliness among older people. These include the need for clear communication and documentation of mutually agreed research objectives and responsibilities from project initiation to completion, identifying and working with local agencies to maximize recruitment among “hard to reach” groups, understanding the dimensions of loneliness addressed in the selected instrument used to screen for loneliness, and integrating innovative data collection techniques when working with vulnerable groups such as socially isolated older people.

Acceptability of a Mobile Phone App for Measuring Time Use in Breast Cancer Survivors (Life in a Day): Mixed-Methods Study.

BackgroundAdvancements in mobile technology allow innovative data collection techniques such as measuring time use (ie, how individuals structure their time) for the purpose of improving health behavior change interventions.ObjectiveThe aim of this study was to examine the acceptability of a 5-day trial of the Life in a Day mobile phone app measuring time use in breast cancer survivors to advance technology-based measurement of time use.MethodsAcceptability data were collected from participants (N=40; 100% response rate) using a self-administered survey after 5 days of Life in a Day use.ResultsOverall, participants had a mean age of 55 years (SD 8) and completed 16 years of school (SD 2). Participants generally agreed that learning to use Life in a Day was easy (83%, 33/40) and would prefer to log activities using Life in a Day over paper-and-pencil diary (73%, 29/40). A slight majority felt that completing Life in a Day for 5 consecutive days was not too much (60%, 24/40) or overly time-consuming (68%, 27/40). Life in a Day was rated as easy to read (88%, 35/40) and navigate (70%, 32/40). Participants also agreed that it was easy to log activities using the activity timer at the start and end of an activity (90%, 35/39). Only 13% (5/40) downloaded the app on their personal phone, whereas 63% (19/30) of the remaining participants would have preferred to use their personal phone. Overall, 77% (30/39) of participants felt that the Life in a Day app was good or very good. Those who agreed that it was easy to edit activities were significantly more likely to be younger when compared with those who disagreed (mean 53 vs 58 years, P=.04). Similarly, those who agreed that it was easy to remember to log activities were more likely to be younger (mean 52 vs 60 years, P<.001). Qualitative coding of 2 open-ended survey items yielded 3 common themes for Life in a Day improvement (ie, convenience, user interface, and reminders).ConclusionsA mobile phone app is an acceptable time-use measurement modality. Improving convenience, user interface, and memory prompts while addressing the needs of older participants is needed to enhance app utility.Trial RegistrationClinicalTrials.gov NCT00929617; https://clinicaltrials.gov/ct2/show/NCT00929617 (Archived by WebCite at http://www.webcitation.org/6z2bZ4P7X)

Level of Service Estimation at Traffic Signals Based on Innovative Traffic Data Services and Collection Techniques

The objective of this paper is to present an integrated two-stage concept for level of service estimation at traffic signals in an urban road network based on innovative traffic data services and collection techniques. The paper starts with a brief summary of the background of performance measures and levels of service for traffic signals and of innovative data collection techniques (Automatic Number Plate Recognition, Bluetooth- and GPS-tracking) and traffic data providers.The first stage of the concept employs the data provided by most traffic data service providers, i.e. the average travel speed on all Traffic Message Channel locations or links of the network. Firstly, every speed is assigned to its associated level of service. Secondly, a digital map is augmented with this information which allows for a quick and demonstrative visual analysis. Traffic Message Channel locations or links with low level of service are selected for further investigations in the next stage.The second stage employs Automatic Number Plate Recognition and GPS-tracking for detailed LOS estimation. The former yields empiric average travel speeds, which are used to validate the average travel speeds obtained from the traffic data service provider. The latter yields approach delays, which, again, can be assigned to their associated level of service.The developed concept was applied successfully in a real-world case study on the urban road network of Hannover, Germany. It can be stated that all data sources lead to notably similar results, especially in the second stage, where both data sources (traffic data service provider and GPS-tracking) lead to identical level of service at six out of seven approaches.

Data collection through web-based technology

The US Census Bureau is one of the largest collectors of statistical information, through its censuses and sample surveys, in the United States. Traditional methods of data collection such as mail, telephone interview, and door-to-door enumeration are increasingly giving way to new innovative data collection techniques. Among these are Computer Assisted Telephone Interviewing (CATI), Computer Assisted Personal Interviewing (CAPI), electronic data exchange, and, most recently Internet-based data collection. Internet-based data collection may well be the data collection technique of the future. The Census Bureau experimented, quite successfully, with this technique in its 2000 Census of Population and Housing. At the present time, the IT organization is expanding the application of this technique to include its economic census and survey program at the request of project managers. Demographic statisticians have also expressed an interest in this data collection approach for demographic surveys. On the regulatory front, the Census Bureau is mandated by law to make web-based data collection an available alternative to more traditional data collection techniques. This article reviews the US Census Bureau’s experience with web-based data collection in several of its economic and demographic surveys. It will address design and implementation techniques, component-based Internet data collection software, and our efforts to create a generic systems framework. The paper will also address a cadre of technical, privacy, security, and statistical issues as viewed by a large statistical agency with stringent confidentiality requirements.