Concrete Static Stress Estimation Using Computer Vision-Based Digital Image Processing

Department of Urban and Environmental Engineering (Urban Infrastructure Engineering)As increasing interests about structural safety due to occasionally occurring collapse of structures and social infrastructures, efforts to identify and monitor the current state of structure are also increasing. Recently, most structures have been built of concrete, so identification of safety level of concrete structures becomes a critical issue. One of such techniques is to evaluate the current stress state in concrete. This technique is essential in various fields involved in an investigation of tensile stress of tendons in pre- and post-tensioned structures, building remodeling which needs to remove bearing walls and adds other foundations, and identification of load distribution in enlarged concrete structures. In other words, current stress level in concrete is an important factor to check the safety level of the structures in service. Although it is obvious that a technique for estimating the static stress level of concrete is essential, the method to identify the stress state of the currently used concrete structure is definitely limited. Several efforts for estimating the current stress state have been developed in previous research, including a stress-strain relationship based on elastic theory and a stress relaxation method (SRM) for concrete. These methods in the previous researches have made a certain contribution in this field but practical use in real structures is still inadequate. Therefore, an objective of this study is to develop a static stress estimation technique which can be applied to real concrete structures. This study proposes a method that can measure the static stress level of concrete by incorporating SRM and computer vision-based image processing. Applying a small damage to concrete specimen can release the current stress state and induce stress field change inside concrete around the damage. Computer vision-based measurement can measure the deformation due to this stress field change. This deformation measurement is used in the static stress estimation algorithm developed in this study. The proposed method is validated using several concrete specimens and consequently demonstrates the performance.clos

Working with Legacy Media: A Lone Arranger\u27s First Steps

[Excerpt] In 2013, a naked hard drive from Fiji arriving in my small religious archives (an equivalent full-time staff of 2.5 – one archivist and two archives’ assistants) started me off on the path of digital preservation and, in particular, the digital forensics practices that are beneficial for archivists. With such a small staff, outsourced IT services, and no digital preservation policy in sight, it was time to start exploring how institutions of my size could manage legacy media and start planning for the born-digital archives that will continue to arrive. Since I hold a part-time position, I was able to undertake this exploration in my own time through the support provided by a scholarship from the Ian McLean Wards Memorial Trust in 2015

MeritPatch - Family Collaborative Activities

There is no doubt that the modern family is very busy and disrupted by outside influences. Social trends and expectations have caused many families to become disconnected. There is research that points to overuse of technology as one culprit. Other research suggests that lack of spiritualism has negatively affected families. Regardless of the cause, it can be argued that the more disconnect within a family, the more likely it is for family members to experience negative social, emotional and/or health related issues as well as broken relationships. This study seeks to define family interactions and activities that support a healthy family lifestyle for all members and to create a system by which a family can feel a sense of accomplishment and pride through shared interactions. The study will use design thinking methodology to research through advice interviews and iteratively design based on feedback

The Impact on Public Trust of Image Manipulation in Science

Aim/PurposeIn this paper, we address the theoretical challenges today’s scientific community faces to precisely draw linesbetween true and false pictures. In particular, we focus onproblems related to the hiddenwonders ofscience and the shiny im-ages produced for scientific papers or to appeal towider audiences. BackgroundAs rumors (hoaxes) and false news (fake news)explode acrosssociety and the current network, severalinitiatives using current technologyhave been launched to study this phenomena and limit the social impact. Over the last two decades, inappropriate scientific behavior has raisedmore questions about whether some scientific images are valid.MethodologyThis work is not about analyzing whethertoday’s imagesare objective.Instead,weadvocate for a general approach thatmakes it easier to truly believe in all kinds of knowledge, scientific or otherwise (Goldman, 1967; Goldman, & Ol-son, 2009). This need to believe is closely related to social order (Shapin, 1994). ContributionWe conclude that we must ultimately move away from older ideas about truth and objectivity in research to broadly approach howscience and knowledge are represented and move forward with this theoretical approach when communi-catingscience tothe public.FindingsContemporary visual culture suggests that our world is expressed through im-ages, which areall around us. Therefore,we need to promote thereliability of scientific pictures, which visually represent knowledge, to add meaning in a world of complex high-tech science (Allamel-Raffin, 2011; Greenberg, 2004; Rosenberger, 2009). Since the time of Galileo, and today more than ever, scien-tific activity should be understood as knowledgeproduced toreveal, and there-fore inform us of, (Wise, 2006) all that remains unexplained in our world , as well as everything beyond our senses

The Bionic Radiologist: avoiding blurry pictures and providing greater insights

Radiology images and reports have long been digitalized. However, the potential of the more than 3.6 billion radiology examinations performed annually worldwide has largely gone unused in the effort to digitally transform health care. The Bionic Radiologist is a concept that combines humanity and digitalization for better health care integration of radiology. At a practical level, this concept will achieve critical goals: (1) testing decisions being made scientifically on the basis of disease probabilities and patient preferences; (2) image analysis done consistently at any time and at any site; and (3) treatment suggestions that are closely linked to imaging results and are seamlessly integrated with other information. The Bionic Radiologist will thus help avoiding missed care opportunities, will provide continuous learning in the work process, and will also allow more time for radiologists’ primary roles: interacting with patients and referring physicians. To achieve that potential, one has to cope with many implementation barriers at both the individual and institutional levels. These include: reluctance to delegate decision making, a possible decrease in image interpretation knowledge and the perception that patient safety and trust are at stake. To facilitate implementation of the Bionic Radiologist the following will be helpful: uncertainty quantifications for suggestions, shared decision making, changes in organizational culture and leadership style, maintained expertise through continuous learning systems for training, and role development of the involved experts. With the support of the Bionic Radiologist, disparities are reduced and the delivery of care is provided in a humane and personalized fashion