• The Journal of the Convergence on Culture Technology
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• v.10 no.3
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• pp.97-109
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• 2024

In the field of domestic tourism, tourism trend analysis of tourism consumers, both international tourists and domestic tourists, is essential not only for the Korean tourism market but also for local and governmental tourism policy makers. e will explore the keywords and sentiment analysis on social media to establish a marketing strategy plan and revitalize the domestic tourism industry through communication and information from tourism consumers. This study utilized TEXTOM 6.0 to analyze recent trends in Korean tourism. Data was collected from September 31, 2022, to August 31, 2023, using 'Korean tourism' and 'domestic tourism' as keywords, targeting blogs, cafes, and news provided by Naver, Daum, and Google. Through text mining, 100 key words and TF-IDF were extracted in order of frequency, and then CONCOR analysis and sentiment analysis were conducted. For Korean tourism keywords, words related to tourist destinations, travel companions and behaviors, tourism motivations and experiences, accommodation types, tourist information, and emotional connections ranked high. The results of the CONCOR analysis were categorized into five clusters related to tourist destinations, tourist information, tourist activities/experiences, tourism motivation/content, and inbound related. Finally, the sentiment analysis showed a high level of positive documents and vocabulary. This study analyzes the rapidly changing trends of Korean tourism through text mining on Korean tourism and is expected to provide meaningful data to promote domestic tourism not only for Koreans but also for foreigners visiting Korea.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.17 no.3
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• pp.121-129
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• 2024

The rapid advancement of digital technology and the COVID-19 pandemic have significantly accelerated the growth of online commerce, highlighting the need for support mechanisms that enable small business owners to effectively respond to these market changes. In response, this paper presents a foundational technology leveraging the Online to Offline (O2O) strategy to automatically capture products displayed on retail shelves and utilize these images to create virtual stores. The essence of this research lies in precisely identifying and recognizing the location and names of displayed products, for which a single-class-targeted, lightweight model based on YOLOv8, named ESD-YOLOv8, is proposed. The detected products are identified by their names through feature-point-based technology, equipped with the capability to swiftly update the system by simply adding photos of new products. Through experiments, product name recognition demonstrated an accuracy of 74.0%, and position detection achieved a performance with an F2-Score of 92.8% using only 0.3M parameters. These results confirm that the proposed method possesses high performance and optimized efficiency.

• The Journal of the Convergence on Culture Technology
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• v.10 no.4
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• pp.17-22
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• 2024

The war that broke out on October 7, 2023 is prolonging and expanding into the Middle East. Although the damage from war is increasing, humanitarian aid to the Gaza Strip has been halted due to UNRWA's deviant actions. Powerful countries have suspended support, and the UN is appealing for support for the Gaza Strip. All damage is borne by civilians in the Gaza Strip, especially women, children, and the elderly. Israel has selected an evacuation zone and evacuation route in the Gaza Strip and established a humanitarian aid route in the border area. However, Hamas's resistance in underground tunnels, using civilian-dense areas and civilian facilities such as hospitals and schools as shields, further amplified civilian casualties. This Israel-Hamas war requires the international community to approach it from a human security perspective. We must strengthen the UN's functions and roles to ensure that humanitarian supplies reach the field and humanitarian intervention forces ensure human dignity and basic rights. We must restore the credibility of the UN's role through the Israel-Hamas war. In addition, Korea should urge the introduction of humanitarian aid and goods, and provide humanitarian goods such as daily necessities and medicine. We must also prepare for deployment as a member of the UN peacekeeping force in the future. These activities will help Korea develop into a model country that fulfills its role as a 'global pivotal nation' and will have a virtuous cycle of international support in the event of a future crisis on the Korean Peninsula.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.24 no.4
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• pp.155-165
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• 2024

Software as a Service (SaaS) has become one of the fastest-growing software business models in recent years. Even during the economic downturn following the pandemic, the SaaS business has emerged as a crucial model for IT companies. The revenue structure of SaaS, which is based on the subscription economy model, ensures that users pay only for the services used. In other words, SaaS operates on a subscription-based billing model, thus providing subscribers access to software uploaded to cloud computers via the Internet. This study aimed to explore the manner by which software-solution firms have to counteract the decline in profit and loss sales caused by changing their business-model orientation from on-premise deployment software to subscription-based software. Additionally it analyzes a method for selecting a subscription-based pricing model and rapidly recovering the investment costs via quantitative business-viability assessment. By calculating subscription fees via a more quantitative business-viability evaluation instead of focusing on conventional business-planning methods that rely on qualitative methods, companies are expected to be equipped in providing services to customers at reasonable costs. This strategy will facilitate them in leading emerging growth sectors.

• The Journal of the Convergence on Culture Technology
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• v.10 no.4
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• pp.389-395
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• 2024

This study aims to deeply analyze the military strategies and tactics used in the battles between Israel and Hamas, to understand the military approaches, technical capabilities, and their impact on the outcomes of the conflict. To achieve this, methodologies such as literature review, data analysis, and case studies were utilized. The research findings confirm that Hamas employed asymmetric tactics, such as rocket attacks and surprise attacks through underground tunnels, to counter Israel's military superiority. On the other hand, Israel responded to Hamas's attacks with the Iron Dome interception system and intelligence-gathering capabilities, but faced difficulties due to Hamas's underground tunnel network. After six months of fighting, the casualties in the Gaza Strip exceeded 30,000, and more than 1.7 million people became refugees. Israel also suffered over 1,200 deaths. Militarily, neither side achieved a decisive victory, resulting in a war of attrition. This study suggests that the Israel-Hamas war exemplifies the complexity of modern asymmetric warfare. Furthermore, it recommends that political compromise between the two sides and active mediation efforts by the international community are necessary for the peaceful resolution of the Israel-Palestine conflict.

• Journal of Internet of Things and Convergence
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• v.10 no.3
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• pp.19-24
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• 2024

Recent advances in large-scale data processing technologies such as big data, cloud computing, and artificial intelligence have increased the demand for high-performance storage devices in data centers and enterprise environments. In particular, the fast data response speed of storage devices is a key factor that determines the overall system performance. Solid state drives (SSDs) based on the Non-Volatile Memory Express (NVMe) interface are gaining traction, but new bottlenecks are emerging in the process of handling large data input and output requests from multiple hosts simultaneously. SSDs typically process host requests by sequentially stacking them in an internal queue. When long transfer length requests are processed first, shorter requests wait longer, increasing the average response time. To solve this problem, data transfer timeout and data partitioning methods have been proposed, but they do not provide a fundamental solution. In this paper, we propose a dual queue based scheduling scheme (DQBS), which manages the data transfer order based on the request order in one queue and the transfer length in the other queue. Then, the request time and transmission length are comprehensively considered to determine the efficient data transmission order. This enables the balanced processing of long and short requests, thus reducing the overall average response time. The simulation results show that the proposed method outperforms the existing sequential processing method. This study presents a scheduling technique that maximizes data transfer efficiency in a high-performance SSD environment, which is expected to contribute to the development of next-generation high-performance storage systems

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.23 no.4
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• pp.37-53
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• 2024

This study selected bicycle road hazard detection factors for mobile IoT sensor device operation and developed service application plans. Twelve bicycle road hazard detection factors were derived through a focused group interview, and a fuzzy AHP-based importance analysis was conducted on 30 road and transportation experts. As a result, 'damage to pavement' (1st overall) and 'environmental obstacle' (2nd) with low visibility but a high risk of accidents were selected the most. The factors in terms of facility management, such as 'disconnected route occurrence' (4th), 'artificial obstacle' (5th), 'effective width' (6th), and 'poor drainage' (7th), were selected as the upper and middle areas. Factors that are not direct accident-inducing factors, such as 'loss of road markings' (11th) and 'free space width' (12th), were selected the least. Based on this, a plan was presented to apply the bicycle road hazard detection service and a service operation strategy according to real-time performance. Nevertheless, follow-up studies, such as human behavioral analysis based on bicycle operators, analysis according to the bicycle road type, service demonstration, and pilot operation, will be needed to develop safe bicycle road management is expected.

• The Journal of the Convergence on Culture Technology
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• v.10 no.5
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• pp.351-356
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• 2024

This paper concerns the dynamic relational landscape between art curating and publishing, and proposes continued interest and research on it. Publishing about art functions as a major means of mediating and disseminating art practices. It is also a metaphorical space for curating that visualizes original creations and their discourse, and also has a collective character that converges various art practices. Accordingly, this paper examines the complex aspects implied in publishing as art curating and the meaning of its manifestation. In the main text of this paper, first of all, there are authors such as Seth Siegelaub, who used publications as a space to produce works and reveal them to the public, and art critic Lucy Lippard, who founded Printed Matter and filled the space with books produced by artists. We also examine the concept of publication as an 'exhibition' through several examples. We also analyzes the historical changes that have raised the status of publications containing the voices of curators by revealing the intellectual narrative inherent in experimental curating through printed materials. Lastly, we traced Kassel Documenta's publication strategy, which gave authenticity and authority to the act of art curating and raised social attention to the curator persona. This research process is intended to promote an expanded understanding of art curating and to confirm the importance of publication, which is considered a part of curating within the art world.

• The Journal of the Convergence on Culture Technology
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• v.10 no.5
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• pp.195-200
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• 2024

The purpose of this study is to propose optimized cognitive warfare strategies for the Korean Peninsula by analyzing recent war case studies. Through the analysis of the Armenia-Azerbaijan war, the Israel-Palestine conflict, the Ukraine-Russia war, and the Israel-Hamas conflict, it was found that the following aspects are crucial in conducting cognitive warfare: 1) applying methods according to objectives, 2) organizing and structuring appropriately to the objectives and means, and 3) utilizing various means from both civilian and military sectors. Based on these findings, cognitive warfare strategies optimized for the operational environment of the Korean Peninsula were suggested in terms of the three elements of military innovation. From the aspect of methodology, it is recommended to develop cognitive warfare scenarios based on legitimacy and legality, and to integrate roles according to the level of warfare. Regarding organization and structuring, the establishment of a national-level control tower and the construction of an integrated response system involving civilians, government, military, and police based on legislation are proposed. In terms of means, it is suggested to utilize various tools from the civilian, government, military, and police sectors, such as North Korean defectors, psychological warfare broadcasts against North Korea, social media, and cyber operations, for auditory, visual, and message delivery. In future battlefields characterized by hyper-connectivity and hyper-intelligence, the execution of cognitive warfare will become increasingly important. Therefore, it is necessary to continuously develop optimized cognitive warfare strategies for the Korean Peninsula through comprehensive national efforts.

• The Journal of the Convergence on Culture Technology
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• v.10 no.5
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• pp.153-161
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• 2024

This study proposes improvements to the personnel management system for military officers in South Korea, addressing challenges posed by rapidly changing security environments and population decline due to low birth rates. The research identifies key issues in the current system, including lack of predictability in long-term service selection, limited opportunities for professional development, uncertainties in post-retirement careers, rigid organizational culture, and inadequate responses to demographic changes. To address these issues, the study analyzes personnel management practices in foreign militaries, including the United States, United Kingdom, and Israel, deriving valuable insights. Based on this analysis, the research suggests several improvement measures: enhancing predictability in long-term service selection, providing tailored job transition support for different military specialties, and expanding personnel exchanges between military and civilian sectors. Specific recommendations include clarifying long-term service selection criteria, introducing a phased selection system, strengthening connections between military specialties and civilian job sectors, expanding support for professional certifications, and increasing personnel exchange programs with public institutions and private companies. The study also outlines necessary legal and institutional reforms, strategies for securing and allocating budgets, and a phased implementation plan. The research proposes amendments to the Military Personnel Management Act, legislation for supporting retired military personnel, and the introduction of a performance-based budget management system. A systematic implementation plan is presented, divided into short-term, medium-term, and long-term phases.