2023, Vol.9, No.5

Journal of Internet of Things and Convergence 2023 KCI Impact Factor : 0.89

pISSN : 2466-0078
https://journal.kci.go.kr/kiots

The purpose of this study was to examine the impact of digital content using local cultural infrastructure and tangible and intangible cultural assets on gross regional domestic product (GRDP) as a way to promote the local economy. To verify the impact of content and cultural capital on the gross regional domestic product per capita (GRDP) to be used in this study, the dependent variable was the gross regional product per capita, and the independent variable was the content industry (sales, number of businesses, number of employees). The mediating and controlling variables were cultural capital, cultural infrastructure, and tangible and intangible cultural assets. The research results are as follows. First, in the content industry, the highest influence on per capita gross regional domestic product (GRDP) was found to be the number of businesses, followed by sales. Second, the number of cultural infrastructures was found to have a complete mediating effect in the relationship between the number of content industry businesses and the per capita gross regional domestic product (GRDP). Third, tangible and intangible cultural assets, which are cultural capital, were found to regulate the number of content industry businesses and the gross regional domestic product (GRDP) per capita. Based on these conclusions, a plan to promote the local economy of Jeollanam-do using local cultural capital and ICT content was presented.

Hot data is frequently used data that affects the performance and lifespan of a storage system. Therefore, classifying and managing the identified hot data is important for the performance and lifetime of storage devices, especially for NAND flash memory, which is characterized by rapid degradation after repeated intensive write operations to specific blocks. In this paper, we design a hot data classifier and management scheme for an efficient resource management in flash memory-based storage devices by benchmarking traces extracted from enterprise servers. Also, we propose a method to measure the frequency of hot data using multiple hashes, and to improve the performance and lifetime of the storage system by classifying the identified hot data and managing it on degradation-resistant media. Finally, we demonstrate the effectiveness of the proposed method by measuring the increased performance and lifetime through experiments.

Wheelchairs currently come in two types: electric and manual. However, even electric wheelchairs require some degree of muscle control for operation. Individuals with limited muscle control often rely on someone else to push their wheelchair, depriving them of the independence that everyone desires. Consequently, there is a need for wheelchairs that individuals without muscle control can operate independently. The brainwave-based omnidirectional mobility Mecanum wheel analyzes frequency components similar to those of a stimulator in the occipital lobe (O1, O2, P7, P8) of the user, utilizing an SVM model for control. Equipped with cameras and ultrasonic sensors, the device can detect objects and distances, allowing it to halt and prevent falls at elevated thresholds. Moreover, the camera can provide the caregiver with a front view of the user's surroundings, while GPS enables more accurate real-time monitoring of the user's location, ensuring the user's safety and facilitating caregiver monitoring. This technology aims to enhance the quality of life for individuals with limited muscle control and their caregivers, enabling greater freedom of movement for the disabled and easier monitoring for caregivers.