Abnormal actions detection of robotic arm via 3D convolution neural network and support vector data description

Robotic arms are powerful assistants in many industrial production environments, and they run periodically in accordance with preset actions to complete specified operations. However, they may act abnormally when encountering unexpected situation and then lead to unnecessary loss. Recognizing the abnormal actions of robotic arms through surveillance video can automatically help us to understand their operating status and discover possible abnormalities in time. We designed a deep learning architecture based on 3D convolution for abnormal action recognition. The 3D convolutional layer can extract the spatial and temporal features of the robotic arm movements from the video frame difference sequence. The features are compressed and streamlined by the maximum pooling layer to obtain concise and effective robotic arm action features. Finally, the fully connected layer is used to classify the features to recognize the abnormal robotic arm tasks. Support vector data description (SVDD) model is employed to detect abnormal actions of the robotic arm, and the well-trained SVDD model can distinguish the normal actions from the three kinds of abnormal actions with the Area Under Curve (AUC) 99.17% .

Reduction of the Bim Dimension of the Full Life Cycle of Building and Facilities

Постановка задачи. Предметом исследования являются информационные модели полного жизненного проекта в секторе архитектуры, проектирования, строительства и эксплуатации зданий и сооружений. Цель исследования состоит в оптимизации BIM-технологий путем построения модели, основанной на дискретном векторном описании данных. Результаты. Проанализированы основные препятствия на пути широкого внедрения BIM-технологий и процедур полного жизненного цикла строительного проекта в практику строительного комплекса РФ в течение всего жизненного цикла проекта, включая этапы строительства, эксплуатации и утилизации, а также мировые тенденции этого процесса. Сформулирован метод редукции размерности BIM, основанной на дискретном векторном описании данных. Разработана технология формирования иерархической динамически добавляющейся и обновляющейся информационной основы BIM, учитывающей возможность ее агрегации. Предложенные в работе алгоритмы реализованы в оболочке реляционной системы управления базами данных. Выводы. Редукция размерности BIM, основанная на дискретном векторном описании данных, позволяет полностью решить задачи как создания и актуализации информационной основы BIM, так и ее трансферта между участниками проекта. Форматы данных BIM определяется этапом полного жизненного цикла проекта. Полнофункциональная для этапа определения объемов работ по проекту BIM является одномерной и определяется просто вектором кластеров более низкой степени интеграции, что позволяет полностью преодолеть все препятствия на пути широкого внедрения BIM-технологий и процедур полного жизненного цикла строительного проекта в практику. Оптимальной оболочкой реализации BIM-технологий являются реляционные базы данных. Statement of the problem. The subject of the research is information models of a complete life project in the sector of architecture, design and construction and maintenance of buildings and structures. The purpose of the research is to optimize BIM technologies by means of building a model based on a discrete vector data description. Results. The main obstacles to the widespread introduction of BIM technologies and procedures for the full life cycle of a construction project in the practice of the construction complex of the Russian Federation throughout the entire life cycle of the project, including the stages of construction, operation and disposal, as well as global trends in this process have been analyzed. The method of BIM dimension reduction based on discrete vector data description is formulated. The technology of forming a hierarchical dynamically added and updated information base BIM taking into account the possibility of its aggregation has been developed. The suggested algorithms are implemented in the shell of a relational database management system. Conclusions. BIM dimension reduction based on a discrete vector description of data allows one to completely solve the problems of both designing and updating the BIM information base, and its transfer between project participants. BIM data formats are determined by the stage of the complete project life cycle. Fully functional for the stage of determining the scope of work on a project, BIM is one-dimensional and is simply determined by the vector of clusters of a lower degree of integration, which allows one to completely overcome all of the obstacles to the widespread introduction of BIM technologies and procedures of a full life cycle of a construction project into practice. The optimal shell for the implementation of BIM technologies are relational databases.

Predicting the success of induction of labour using cervical volume

Objectives Assessing the likelihood of success of induction of labour using cervical volume is an important research question. Data description We provide data generated in a prospective observational study which was carried out at North Colombo Teaching Hospital, Ragama, Sri Lanka. Study conducted to compare pre-induction digital cervical assessment, sonographic cervical length, and sonographic cervical volume with vaginal delivery rate within 24 h. Inductions with 100 singleton pregnancies at term were included.

Menelisik Platform Digital Dalam Teknologi Bahasa Pemrograman

This study aims to identify the role of programing languages in building or developing a digital platform in accordance with the specifications of the needs desired by the community or users of the digital platform. The methodology of qualitative data description and literature study by Seeking information from various literatures and reference source related to the topics discussed. The data obtained is then analyzed and then concluded “so that result are obtained” from the topic. From this research, it can be concluded that programming languages play an important role in the development of a digital platform from browser, social media, to digital platform used for education.

Database on the coverage of the “Bolsa-Família” conditioning cash-transfer program: Brazil, 2005 to 2021

Objectives The “Bolsa-Família” Program (PBF) is a Brazilian conditional cash-transfer program in which families should comply with health, education, and social assistance conditionalities. The program aims to fight poverty and hunger, promoting nutrition and health services for low-income populations. This paper presents a database on the coverage of monitoring and compliance with the PBF health conditionalities in Brazil from January 2005 to July 2021. Data description Database on the PBF conditioning cash-transfer program coverage in Brazil from 2005 to 2021. It comprises information on the number of families benefited, health conditionalities, and the follow-up on vaccination and nutrition of children under seven years old. The cities and semesters are the minimal aggregation units.

Improving methods to measure comparable mortality cause (IMMCMC) gold standard verbal autopsy dataset

Objectives Gold standard cause of death data is critically important to improve verbal autopsy (VA) methods in diagnosing cause of death where civil and vital registration systems are inadequate or poor. As part of a three-country research study—Improving Methods to Measure Comparable Mortality by Cause (IMMCMC) study—data were collected on clinicopathological criteria-based gold standard cause of death from hospital record reviews with matched VAs. The purpose of this data note is to make accessible a de-identified format of these gold standard VAs for interested researchers to improve the diagnostic accuracy of VA methods. Data description The study was conducted between 2011 and 2014 in the Philippines, Bangladesh, and Papua New Guinea. Gold standard diagnoses of underlying causes of death for deaths occurring in hospital were matched to VAs conducted using a standardized VA questionnaire developed by the Population Health Metrics Consortium. 3512 deaths were collected in total, comprised of 2491 adults (12 years and older), 320 children (28 days to 12 years), and 702 neonates (0–27 days).

REDUCTION OF THE BIM DIMENSION OF THE FULL LIFE CYCLE OF BUILDING AND FACILITIES

Statement of the problem. The subject of the research is information models of a complete life project in the sector of architecture, design and construction and maintenance of buildings and structures. The purpose of the research is to optimize BIM technologies by building a model based on a discrete vector data description. Results. Analyzed the main obstacles to the widespread introduction of BIM technologies and procedures for the full life cycle of a construction project in the practice of the construction complex of the Russian Federation throughout the entire life cycle of the project, including the stages of construction, operation and disposal, as well as global trends in this process. The method of BIM dimension reduction based on discrete vector data description is formulated. The technology of forming a hierarchical dynamically added and updated information base BIM, taking into account the possibility of its aggregation, has been developed. The algorithms proposed in this work are implemented in the shell of a relational database management system. Conclusions. BIM dimension reduction, based on a discrete vector description of data, allows youto completely solve the problems of both designing and updating the BIM information base, and its transfer between project participants. BIM data formats are determined by the stage of the complete project life cycle. Fully functional for the stage of determining the scope of work on a project, BIM is one-dimensional and is simply determined by the vector of clusters of a lower degree of integration, which allows you to completely overcome all obstacles to the widespread introduction of BIM technologies and procedures of the full life cycle of a construction project into practice. The optimal shell for the implementation of BIM technologies is relational databases.