Repetitive tasks in construction reduce workers' attentiveness of hazards on sites. This decline can be influenced by their situation awareness level. However, research the relationship between and is scarce safety domain. study employs eye-tracking techniques to investigate how visual attention changes due variations levels. A virtual reality-based experiment was conducted evaluate level individual workers examine its with towards different using global assessment technique linear...

Noncompliance with safety rules is a major cause of unsatisfactory performance in construction worldwide. Although some research efforts have focused on using computer vision (CV) methods for rule inspection, these are still their early stages and cannot be effectively applied job sites. Therefore, it necessary to present feasible prototype conduct detailed analysis ensure compliance at the site. This study aims extend validation through four case scenarios. The proposed structured...

Construction safety requires real-time monitoring due to its hazardous nature. Existing vision-based systems classify each frame identify safe or unsafe scenes, often triggering false alarms object misdetection detection, which reduces the overall system’s performance. To overcome this problem, research introduces a system that leverages novel temporal-analysis-based algorithm reduce alarms. The proposed comprises three main modules: rule compliance, and temporal analysis. employs...

Parkinson Disease (PD) is one of the most critical progressive neurological diseases which mainly affects motor system. The accurate diagnosis PD has been a challenge to date, due close relevance other diseases. These characteristics are reasons that cause 25% inaccurate manual PD. In this paper, we present Convolutional Neural Network (CNN) based automatic system accurately classifies and healthy control (HC). Parkinson's Progression Markers Initiative (PPMI) provides publically available...

Bug triage processes are intended to assign bug reports appropriate developers effectively, but they typically become bottlenecks in the development process-especially for large-scale software projects. Recently, several machine learning approaches, including deep learning-based have been proposed recommend an developer automatically by past assignment patterns. In this paper, we propose a technique using convolutional neural network (CNN) with three different word representation techniques:...

Many bugs and defects occur during software testing maintenance. These should be resolved as soon possible, to improve quality. However, bug triage aims solve these by assigning the reported an appropriate developer or list of developers. It is arduous task for a human triager assign report, when there are several developers with different skills, automated semi-automated systems have been proposed in last decade. Some recent techniques suggested possibilities development effective system....

Safety inspection requires a deep understanding of job-site situations, traditionally, relying on predefined regulations and inspectors' prior knowledge. While advanced techniques like computer vision identify hazards, they often fall short in interpreting interactions applying domain To address this, we propose iSafeInspect, an intelligent mobile-based assistant for safety inspectors. iSafeInspect leverages learning to classify scenes with logical reasoning based relevant rules, integrating...

As defects become more widespread in software development and advancement, bug triaging has imperative for testing maintenance. The triage process assigns an appropriate developer to a report. Many automated semiautomated systems have been proposed the last decade, some recent techniques provided direction developing effective system. However, these still require improvement. Another open challenge related this problem is adding new developers existing system, which challenging because no...

Bug triage is a software engineering problem, which being solved by classification methods. The social network analysis, mining repositories, statistical modeling, topic machine learning, and deep learning techniques have been used to the bugs. These existing methods showed promising results but still far from perfection, requires improvement. This paper proposes graph representation method for bug reports dataset, solves problem with node problem. heterogeneous built using word document...

Rice (Oryza sativa L.) is a widely consumed food source, and its geographical origin has long been subject of discussion. In our study, we collected 44 20 rice samples from different regions the Republic Korea China, respectively, which 35 29 were white brown rice, respectively. These analyzed using nuclear magnetic resonance (NMR) spectroscopy, followed by analyses with various data normalization scaling methods. Then, leave-one-out cross-validation (LOOCV) external validation employed to...

Bug triage is a software engineering problem in which developer assigned to bug report. The existing methods use social network analysis, topic modeling, mining repositories, machine learning, and deep learning. Deep learning have shown promising results. However, these can not assign newly added the In this paper, we proposed one-class SVM based method that trains separate classifier for each developer. If new project, then he or she be considered by system training on his history. results...

Recent continual learning approaches have primarily focused on mitigating catastrophic forgetting. Nevertheless, two critical areas remained relatively unexplored: 1) evaluating the robustness of proposed methods and 2) ensuring security learned tasks. This paper investigates susceptibility continually tasks, including current previously acquired to adversarial attacks. Specifically, we observed that any class belonging task can be easily targeted misclassified as desired target other task....

Construction workers can be adequately protected by wearing a safety helmet while working. Due to the discomfort, take off helmets working, which is unsafe behavior and causes an injury or fatality in case of fall. Therefore, practical handy solution needed on construction site recognize order determine their behavior. However, conventional monitoring methods are labor-intensive, time-consuming, require manager's presence, impossible for him monitor all performing different activities. this...