3D modeling by 3D scanning of real objects using laser scanners is effective for surveying disaster sites to confirm the extent of damage and for digital archiving of tangible cultural assets to preserve their shapes. In recent years, smartphones and tablets are equipped with distance measurement sensors, making it possible to easily perform 3D scanning. However, generating a 3D model by extracting only the necessary data that constitutes an object is not easy. The point cloud acquired by a ranging sensor consists of a very large number of points and includes many points other than the object and noise. It has generally been necessary for a person to visually designate target objects and unnecessary areas. However, the large data size, such as data from a wide area of the surrounding environment, increases the amount of work required. In addition, if the object has a complex shape, the process of defining the area of the shape itself is complicated. This requires careful attention to delete unnecessary areas and save necessary areas, making it difficult to specify the area appropriately. A 3D model with a large data size is undesirable for data transfer over information networks and for the execution of various processes. In this paper, we design an algorithm for generating lightweight 3D models with reduced data size based on point cloud surveying and demonstrate its effectiveness.
The research aims to find a strategy for how YouTube ads remain effective and watched and create persuasion to consumers in the midst of changing viewing behavior. The unit of analysis is advertising text in the form of documents and qualitative content analysis by Hsieh and Shannon. The study results show that the unique strategy of highlighting several advertising formulas, the prominence of voiceover, instructive sentences, and brand messages at the beginning of the broadcast can strengthen the persuasion of children's product ads on YouTube. The research implies that ad creators can create ads that can be persuasive to support marketing success. However, YouTube has video content with a busy audience, overloaded information, and active behavior. So, ads often need to be more readable because viewers skip the content by skipping and giving direct feedback. Future research should expand the scope to Instagram and TikTok, focusing on persuasion formulas and types of advertising messages.
This research aims to develop a model of digital leadership skills in moderating the relationship between Organizational Resources to improve the digital competence of health professionals. Digital transformation in the health sector requires new knowledge and competencies regarding integrating technology for its users, especially health professionals who are intended to support health service work practices. Often, literature on increasing digital competency of the workforce focuses on training and providing access to technology so that the expected benefits still need to be improved. Therefore, a model that involves digital leadership skills in maximizing organizational resources is needed to increase the digital competence of health professionals. This model was built based on a literature review and developed to become an updated model. A future research agenda has been presented primarily to test the validity of the model proposed in this study.
In recent years, there are many natural disasters associated with extreme weather events. Intensive and prolonged rainfall increases flooding and causing landslides. They may cause extensive damage to residential areas and infrastructure, increasing the need for rapid and appropriate evacuation action to prevent human casualties. Despite the fact that accurate information provision and rapid evacuation guidance are essential immediately after a disaster, the fast and wide area restoration of networks is very important in order that different entities communicate together. Wireless Mesh Networks (WMNs) are communication infrastructure, which use multiple mesh routers for communication. Even some network links may fail, the WMN can maintain the network and communication through other mesh routers. Also, they can continuously provide stable wireless communication even in the event of a disaster. In this paper, we propose a mesh router placement optimization system for three-dimensional environments. In simulations, we consider Normal and Uniform distributions of mesh clients. The optimal placement of WMNs is performed to verify the usefulness of the proposed system.
