IoT device technology is currently developing rapidly, for example in smart home systems that have several features including lighting, surveillance security, temperature control, water sensors, and smart electricity. IoT device consists of smart electricity integrated with human action recognition using sensor vision are developed in this work. In smart electricity system, we build some relays controlled by smartphone applications and web-based platforms. We can control the relays and monitor the voltage, current, and power used from electricity appliances that are connected to our IoT device. In human action recognition, we use a single RGB camera to capture some human poses into spatiotemporal sequences to get data for training. There are six poses for testing scenario, these poses will be clustered using kNN (k-Nearest Neighbor) method. Each human action that is recognized will be connected to an IoT device for controlling the switching mode on the relays in smart electricity system. The result in this experiment shows that the system successfully reads every single posture with quite good accuracy performance using confusion matrix.
Elderly people need special attention and some of them need to be monitored continuously and in real-time. Fall detection is one of the systems used to monitor the daily life of the elderly. Various devices and methods were developed to monitor the condition of the elderly on daily activity. The system that has been proposed in previous studies uses a number of sensors that are placed on the body. However, this system tends to be high cost, complex installation, and inconvenient to use. Therefore, an alternative system is needed to overcome this problem. The purpose of this study is to developed a fall detection method using PoseNet with pose calculations based on key joins. Testing on larger data sets is needed to verify the proposed method's performance further. The use of cameras can be a solution to monitoring the activities of the elderly. With the image processing method, it is possible to estimate the activities of the elderly. The purpose of this study is to developed a fall detection method using PoseNet with pose calculations based on key joins. This study developed a fall detection method using PoseNet with pose calculations based on key joins. The key-join used is Left and Right Shoulder and is only measured at the y-coordinate. We calculated the difference absolute standard deviation value (DASDV) and average amplitude change (AAC) on the Y-coordinate. From 10 falling and non-falling conditions trials, we obtained 85% and 80% accuracy for AAC and DASDV. The result of this research can be used as a source or comparison for future research.
In the developing world, despite official promotion and support, engineered structures continue to fail to take root in post-event reconstruction efforts. Both the 2005 Kashmir and 2001 Gujarat earthquakes are excellent case studies of owner preference in this regard where the overwhelming majority of reconstructed building stock turned out to be non-engineered.Based upon first hand surveys of reconstruction after the Kashmir earthquake and other published studies, this paper attempts to analyse aspects of nonengineered construction that tend to make it more desirable to owners as compared with the engineered options. It finds that these aspects can be divided into two categories. The first one, not entirely specific to non-engineered structures, relates to aspects of physical design such as construction materials and techniques, as well as aesthetic and cultural aspects.The second and critically important aspect is the construction paradigm of the non-engineered structure which takes place within the larger construction milieu of the region. The paper analyses and contrasts the construction paradigm of both types of structures and identifies it as the key difference between the two. It further concludes that improving seismic performance of the non-engineered structure is strongly dependent upon respecting its construction paradigm, and that any change in the culture of construction must be brought about through it.
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