Security has always been a significant concern since the dawn of human civilization. That is why we build houses to keep ourselves and our belongings safe. And we do not hesitate to spend a lot on front-door locks and install CCTV cameras to monitor security threats. This paper presents an innovative automatic Front Door Security (FDS) algorithm that uses Human Activity Recognition (HAR) to detect four different security threats at the front door from a real-time video feed with 73.18% accuracy. The activities are recognized using an innovative combination of GoogleNet-BiLSTM hybrid network. This network receives the video feed from the CCTV camera and classifies the activities. The proposed algorithm uses this classification to alert any attempts to break the door by kicking, punching, or hitting. Furthermore, the proposed FDS algorithm is effective in detecting gun violence at the front door, which further strengthens security. This Human Activity Recognition (HAR)-based novel FDS algorithm demonstrates the potential of ensuring better safety with 71.49% precision, 68.2% recall, and an F1-score of 0.65.
With the goal of better understanding a healthy working relationship between two teachers co-teaching in the same classroom on the same subject, this study takes a look at leadership related behaviors in team teaching environments. The study looks at relationships between teams of teachers in Miyazu City School District, a rural Japanese school district teaching English language in public K-12 schools. The relationships of team teachers are analyzed from the perspective of leadership and leadership theory. Situational leadership is presented as a means to understand the social dynamic at play when two teachers are conducting a class and how these ideas can be suited directly to behaviours of team teachers both in and out of class. The result is the creation of a new framework based on existing team teaching and situational leadership models to better understand and improve on working relationships of team teachers.
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