The value of personal information is increasing with the digital transformation of the 4th Industrial Revolution. The purpose of this study is to analyze the efficiency of personal information protection efforts of 2,000 private companies. It uses a stochastic frontier approach (SFA), a parametric estimation method that measures the absolute efficiency of protective activities. In particular, the personal information activity index is used as an output variable for efficiency analysis, with the personal information protection budget and number of personnel utilized as input variables. As a result of the analysis, efficiency is found to range from a minimum of 0.466 to a maximum of 0.949, and overall average efficiency is 0.818 (81.8%). The main causes of inefficiency include non-fulfillment of personal information management measures, lack of system for promoting personal information protection education, and non-fulfillment of obligations related to CCTV. Policy support is needed to implement safety measures and perform personal information encryption, especially customized support for small and medium-sized enterprises.
Alamoodi, A.H.;Baker, Mohammed Rashad;Albahri, O.S.;Zaidan, B.B.;Zaidan, A.A.;Wong, Wing-Kwong;Garfan, Salem;Albahri, A.S.;Alonso, Miguel A.;Jasim, Ali Najm;Baqer, M.J.
KSII Transactions on Internet and Information Systems (TIIS)
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v.16
no.7
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pp.2169-2190
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2022
The COVID-19 pandemic has affected many aspects of human life. The pandemic not only caused millions of fatalities and problems but also changed public sentiment and behavior. Owing to the magnitude of this pandemic, governments worldwide adopted full lockdown measures that attracted much discussion on social media platforms. To investigate the effects of these lockdown measures, this study performed sentiment analysis and latent Dirichlet allocation topic modeling on textual data from Twitter published during the three lockdown waves in Malaysia between 2020 and 2021. Three lockdown measures were identified, the related data for the first two weeks of each lockdown were collected and analysed to understand the public sentiment. The changes between these lockdowns were identified, and the latent topics were highlighted. Most of the public sentiment focused on the first lockdown as reflected in the large number of latent topics generated during this period. The overall sentiment for each lockdown was mostly positive, followed by neutral and then negative. Topic modelling results identified staying at home, quarantine and lockdown as the main aspects of discussion for the first lockdown, whilst importance of health measures and government efforts were the main aspects for the second and third lockdowns. Governments may utilise these findings to understand public sentiment and to formulate precautionary measures that can assure the safety of their citizens and tend to their most pressing problems. These results also highlight the importance of positive messaging during difficult times, establishing digital interventions and formulating new policies to improve the reaction of the public to emergency situations.
An, Phil-Gyun;Eom, Seong-Jun;Kim, Yong-Gyun;Cho, Han-Sol;Kim, Sang-Bum
Journal of Korean Society of Rural Planning
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v.27
no.4
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pp.55-70
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2021
In this study, in the field of remote sensing, where the scope of application is rapidly expanding to fields such as land monitoring, disaster prediction, facility safety inspection, and maintenance of cultural properties, monitoring of rural space and surrounding environment using UAV is utilized. It was carried out to verify the possibility, and the following main results were derived. First, the aerial image taken with an unmanned aerial vehicle had a much higher image size and spatial resolution than the aerial image provided by the National Geographic Information Service. It was suitable for analysis due to its high accuracy. Second, the more the number of photographed photos and the more complex the terrain features, the more the point cloud included in the aerial image taken with the UAV was extracted. As the amount of point cloud increases, accurate 3D mapping is possible, For accurate 3D mapping, it is judged that a point cloud acquisition method for difficult-to-photograph parts in the air is required. Third, 3D mapping technology using point cloud is effective for monitoring rural space and rural resources because it enables observation and comparison of parts that cannot be read from general aerial images. Fourth, the digital elevation model(DEM) produced with aerial image taken with an UAV can visually express the altitude and shape of the topography of the study site, so it can be used as data to predict the effects of topographical changes due to changes in rural space. Therefore, it is possible to utilize various results using the data included in the aerial image taken by the UAV. In this study, the superiority of images acquired by UAV was verified by comparison with existing images, and the effect of 3D mapping on rural space monitoring was visually analyzed. If various types of spatial data such as GIS analysis and topographic map production are collected and utilized using data that can be acquired by unmanned aerial vehicles, it is expected to be used as basic data for rural planning to maintain and preserve the rural environment.
The demand for information related to 3D spatial objects model in metaverse, smart cities, digital twins, autonomous vehicles, urban air mobility will be increased. 3D model construction for spatial objects is possible with various equipments such as satellite-, aerial-, ground platforms and technologies such as modeling, artificial intelligence, image matching. However, it is not easy to quickly detect and convert spatial objects that need updating. In this study, based on spatial information (features) and attributes, using matching elements such as address code, number of floors, building name, and area, the converged building DB and the detected building DB are constructed. Both to support above and to verify the suitability of object selection that needs to be updated, one system prototype was developed. When constructing the converged building DB, the convergence of spatial information and attributes was impossible or failed in some buildings, and the matching rate was low at about 80%. It is believed that this is due to omitting of attributes about many building objects, especially in the pilot test area. This system prototype will support the establishment of an efficient drone shooting plan for the rapid update of 3D spatial objects, thereby preventing duplication and unnecessary construction of spatial objects, thereby greatly contributing to object improvement and cost reduction.
Virtual private network (VPN) services are used in various environments related to national security, such as defense companies and defense-related institutions where digital communication environment technologies are diversified and access to network use is increasing. However, the number of cyber attacks that target vulnerable points of the VPN has annually increased through technological advancement. Thus, this study identified security requirements by performing STRIDE threat modeling to prevent potential and new vulnerable points that can occur in the VPN. STRIDE threat modeling classifies threats into six categories to systematically identify threats. To apply the proposed security requirements, this study analyzed functions of the VPN and formed a data flow diagram in the VPN service process. Then, it collected threats that can take place in the VPN and analyzed the STRIDE threat model based on data of the collected threats. The data flow diagram in the VPN service process, which was established by this study, included 96 STRIDE threats. This study formed a threat scenario to analyze attack routes of the classified threats and derived 30 security requirements for each element of the VPN based on the formed scenario. This study has significance in that it presented a security guideline for enhancing security stability of the VPN used in facilities that require high-level security, such as the Ministry of National Defense (MND).
Journal of the Korean Society for information Management
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v.39
no.3
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pp.263-292
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2022
The purpose of this study is to identify the topics of research related to the concepts of literacy in the field of Library and Information Science which is related to user education in libraries. Data were collected from the WoS and KCI databases, and complementary keyword analysis and topic modeling analysis techniques were used to identify topics of literature-related research articles in the field of Library and Information Science. Findings presented that there was a difference in keywords and topics between the two databases. Literacy-related topics identified from the KCI database were classified into three groups through topic modeling. Also, it was analyzed that there is a difference between the overall literacy-related research trend, the timing of the surge in research volume, and key frequent keywords in the Library and Information Science field confirmed in the study. In particular, in the study of literacy in all fields, a number of words such as 'literacy', 'education', 'media', and 'digital' were derived. However, in literature research in the field of Library and Information Science, keywords such as 'information utilization ability' and 'school library' appeared. Based on this, it was concluded that research on the ability to develop an evaluative eye for information is needed in line with today's information environment, where information is rapidly increasing in Korea in the future.
With the development of virtual and augmented reality technologies, the metaverse, a digital world that provides an immersive feeling like the real world, is overgrowing. Many IT companies such as Naver, Facebook (Meta), and NVIDIA are developing innovative technologies and launching the Metaverse platform and related products on the market. However, even though it is a new business in which many global big tech companies are aggressively investing, the results are not yet precise compared to the market expectations, and the rate of increase in the number of users is gradually slowing down. This can be attributed to the lack of consideration and understanding about how to grow the metaverse ecosystem and operate & harmonize various users/components from the time the metaverse platform was designed. In order to propose a better solution to these problems, this study adopts the yin-yang and five elements theory, which was created to understand the operation logic and logic of the human world for thousands of years. This research would like to propose a theory of double lines-five elements by defining two essential spaces of the metaverse platform, online and offline, and five essential elements constituting the metaverse platform. This study intends to provide a theoretical lens on how to design and operate a platform through the double lines and five elements theory and the concept of coexistence and polarity between the five elements.
This study was performed to development the alternative farrowing pen (AFP) and to investigate performance and behavior of lactating sows and their litter. A total of 64 multiparous sows were randomly divided into two groups and were allocated to farrowing crates (FCs) and AFPs. The AFPs contained a crate and support bars that could be folded to provide the sows with extra space on day 5 postpartum. Behavior was recorded by charge-coupled device cameras and digital video recorders, and the data were scanned every 2 min to obtain an instantaneous behavioral sample. Farrowing systems did not affect feed intake, back-fat thickness, litter size and piglet weight at birth and weaning (p > 0.05). In addition, there were no differences in the number of crushed piglets between the two farrowing systems (p > 0.05). However, the weaning-to-estrus interval was shorter in the sows of the AFPs than in thous of the FCs (p < 0.05). The sows spent most of their time lying down during the lactating period, at about 80% lateral recumbency and 10%-15% ventral recumbency. The only significant differences were in the feeding and drinking behavior between sows in the two farrowing systems (p < 0.05). The FC sows displayed more feeding and drinking behavior than the AFP sows, especially in the late lactating period (p < 0.05). Piglets in the FCs tended to spend more time walking than piglets in the AFPs (p < 0.05), whereas there were no differences in suckling and lying behavior between piglets in the two farrowing systems (p > 0.05). It is concluded that the AFPs with temporary crating until day 4 postpartum did not negatively affect performance and crushed piglet compared with the FCs. It also may improve animal welfare by allowing sows to move and turn around during the lactating period. Further research is needed to find suitable housing designs to enhance productivity and animal welfare.
Recently, as the transition to the untact era due to COVID-19 accelerates, non-face-to-face and non-contact practices have become commonplace, and the OTT (Over-The-Top) service market that provides media content such as movies and broadcast programs through the open Internet is largely expanded and it is receiving great attention from the MZ generation, who are familiar with digital devices and environments. In this study, the effects of OTT service characteristics on MZ generation users' flow, satisfaction and brand loyalty were examined, focusing on Netflix users, one of the representative OTT service brands. In order to carry out this study, a total of 216 people who have used the Netflix OTT service platform were empirically verified by using the survey data of those who have used it for analysis. As a result of the analysis, it was found that among the characteristics of OTT service, contents diversity, convenience, and reliability had a positive (+) effect on flow. Also, flow has a positive (+) effect on satisfaction, and satisfaction has a positive (+) effect on brand loyalty. However, among the characteristics of the OTT service, the recommended service did not have a positive (+) effect on the flow, and the flow did not have a direct positive (+) effect on the brand loyalty. Flow had a positive (+) effect on the brand loyalty through satisfaction. Through this study, it is expected that the market revitalization of the OTT service-related industry and the increasing number of OTT service brands will be able to contribute to the establishment of marketing strategies for the MZ generation consumers, and to provide practical implications.
The Journal of the Convergence on Culture Technology
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v.9
no.1
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pp.111-118
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2023
The purpose of this study is to study jewelry designs presented to general consumers who seek new products and diversity. We would like to present a modular jewelry design with a structure and combination method that is distinct from jewelry in a multimodal replacement method that allows various product modules sold in the past to be worn interchangeably. Problems are likely to occur when a number of existing rather small parts are manufactured in a complex combination method, and difficulties may follow when consumers replace decorative parts and lose them in the process of assembling small fixture parts. Therefore, in order to reduce these problems, we try to make it different from jewelry products made with a simple and simple design so that it can be easily replaced and worn without the need for other coupling parts, and produced using the latest 3D printer (Rapid Prototyping). In this study, based on the experience and know-how gained while engaging in field work, it was possible to make a real object and focused on minimizing problems during the production process, and through this, time and economic loss can be reduced. The purpose of the study is to produce improved jewelry products by expressing more sophisticated and differentiated shapes by using 3D programs (CAD).
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