• Title/Summary/Keyword: Technology Innovation Research

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Passage Planning in Coastal Waters for Maritime Autonomous Surface Ships using the D* Algorithm

  • Hyeong-Tak Lee;Hey-Min Choi
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.29 no.3
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    • pp.281-287
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    • 2023
  • Establishing a ship's passage plan is an essential step before it starts to sail. The research related to the automatic generation of ship passage plans is attracting attention because of the development of maritime autonomous surface ships. In coastal water navigation, the land, islands, and navigation rules need to be considered. From the path planning algorithm's perspective, a ship's passage planning is a global path-planning problem. Because conventional global path-planning methods such as Dijkstra and A* are time-consuming owing to the processes such as environmental modeling, it is difficult to modify a ship's passage plan during a voyage. Therefore, the D* algorithm was used to address these problems. The starting point was near Busan New Port, and the destination was Ulsan Port. The navigable area was designated based on a combination of the ship trajectory data and grid in the target area. The initial path plan generated using the D* algorithm was analyzed with 33 waypoints and a total distance of 113.946 km. The final path plan was simplified using the Douglas-Peucker algorithm. It was analyzed with a total distance of 110.156 km and 10 waypoints. This is approximately 3.05% less than the total distance of the initial passage plan of the ship. This study demonstrated the feasibility of automatically generating a path plan in coastal navigation for maritime autonomous surface ships using the D* algorithm. Using the shortest distance-based path planning algorithm, the ship's fuel consumption and sailing time can be minimized.

Radiometric examination of fertilizers and assessment of their health hazards, commonly used in Pakistan

  • Hannan Younis;Sumbilah Shafique;Zahida Ehsan;Aleena Ishfaq;Khurram Mehboob;Muhammad Ajaz;Abdullah Hidayat;Wazir Muhammad
    • Nuclear Engineering and Technology
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    • v.55 no.7
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    • pp.2447-2453
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    • 2023
  • The radioactivity concentrations of Naturally Occurring Radioactive Materials (NORM) i.e., 226Ra, 232Th, and 4K in various chemical fertilizers being used in the agricultural soil of Pakistan were determined utilizing gamma spectrometry by employing a High Purity Germanium (HPGe) detector. The radioactivity concentrations of 226Ra, 232Th, and 4K extended from 2.58 ± 0.8-265.7 ± 8.8 Bq kg-1, 1.53 ± 0.14-76.6 ± 1.07 Bq kg-1 and 36.5 ± 1.34-15606.7 ± 30.2 Bq kg-1 respectively. The radiological hazard parameters such as internal and external indices and annual effective dose rates were calculated, while excessive lifetime cancer risk factors for the indoor and outdoor areas were found in the range from 0.3×10-3 to 10.723×10-3 and 0.03×10-3 to 2.7948×10-3 of most fertilizers, however, some values were slightly higher than the UNSCEAR (The United Nations Scientific Committee on the Effects of Atomic Radiation) recommended values for potash-containing fertilizers such as MOP (Muriate of Potash).

Improvement and Educational Effectiveness of Fashion Consumption Trend Analysis Class Based on IC-PBL (IC-PBL 기반의 패션 소비트렌드 분석 수업 개선 및 교육적 효과)

  • Jaekyong Lee
    • Journal of Fashion Business
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    • v.27 no.5
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    • pp.121-134
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    • 2023
  • With the development of information and communication technology, interest in new educational approaches that can enhance the learning performance of learners with improved information literacy skills is increasing, and universities are actively promoting educational innovation to foster the talents required by society. In the field of fashion studies education, which is closely related to the fashion industry, there is a strong need to develop field-linked educational programs that reflect the trends in the industry and changes in the educational system. The purpose of this study was to introduce industry-coupled problem-based learning (IC-PBL) to the course "Understanding Fashion Consumption Trends" for non-fashion majors to reflect the current needs and strengthen the educational effectiveness of the learners through a survey. A seven-step curriculum (introduction to the class, practitioner's problem, learner's problem analysis, organizing concepts related to variables, information collection and scenario writing, presentation and scenario proposal, and evaluation) not only enhanced learners' understanding of fashion consumption trends and the fashion industry but also greatly amplified learners' satisfaction with the class. The results of the survey showed that the seven-step curriculum was effective in increasing learners' self-directed learning ability, problem-solving ability, and confidence in learning. Self-directed learning ability was stronger than other factors, consistent with the core principle of problem-based learning to empower learners to take the initiative and promote self-directed learning. Each factor analyzed was positively correlated.

Analysis of Meta Fashion Meaning Structure using Big Data: Focusing on the keywords 'Metaverse' + 'Fashion design' (빅데이터를 활용한 메타패션 의미구조 분석에 관한 연구: '메타버스' + '패션디자인' 키워드를 중심으로)

  • Ji-Yeon Kim;Shin-Young Lee
    • Fashion & Textile Research Journal
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    • v.25 no.5
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    • pp.549-559
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    • 2023
  • Along with the transition to the fourth industrial revolution, the possibility of metaverse-based innovation in the fashion field has been confirmed, and various applications are being sought. Therefore, this study performs meaning structure analysis and discusses the prospects of meta fashion using big data. From 2020 to 2022, data including the keyword "metaverse + fashion design" were collected from portal sites (Naver, Daum, and Google), and the results of keyword frequency, N-gram, and TF-IDF analyses were derived using text mining. Furthermore, network visualization and CONCOR analysis were performed using Ucinet 6 to understand the interconnected structure between keywords and their essential meanings. The results were as follows: The main keywords appeared in the following order: fashion, metaverse, design, 3D, platform, apparel, and virtual. In the N-gram analysis, the density between fashion and metaverse words was high, and in the TF-IDF analysis results, the importance of content- and technology-related words such as 3D, apparel, platform, NFT, education, AI, avatar, MCM, and meta-fashion was confirmed. Through network visualization and CONCOR analysis using Ucinet 6, three cluster results were derived from the top emerging words: "metaverse fashion design and industry," "metaverse fashion design and education," and "metaverse fashion design platform." CONCOR analysis was also used to derive differentiated analysis results for middle and lower words. The results of this study provide useful information to strengthen competitiveness in the field of metaverse fashion design.

Study on Energy Efficiency Improvement in Manufacturing Core Processes through Energy Process Innovation (에너지 프로세스 혁신을 통한 제조 핵심 공정의 에너지 효율화 방안 연구)

  • Sang-Joon Cho;Hyun-Mu Lee;Jin-Soo Lee
    • Journal of Advanced Technology Convergence
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    • v.2 no.4
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    • pp.43-48
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    • 2023
  • Globally, there is a collaborative effort to achieve global carbon neutrality in response to climate change. In the case of South Korea, greenhouse gas emissions are rapidly increasing, presenting an urgent situation that requires resolution. In this context, this study developed a thermal energy collection device named a 'steam trap' and created an AI model capable of predicting future electricity usage by collecting energy usage data through steam traps. The average accuracy of electricity usage prediction with this AI model was 96.7%, demonstrating high precision. Consequently, the AI model enables the prediction and management of days with high electricity consumption and identifies which facilities contribute to elevated power usage. Future research aims to optimize energy consumption efficiency through efficient equipment operation using anomaly detection in steam traps and standardizing energy management systems, with the ultimate goal of reducing greenhouse gas emissions.

The Utilization and Impact of ChatGPT in Engineering Education: A Learner-Centered Approach (공학교육에서 ChatGPT 활용의 실태 및 영향: 학습자 중심의 접근)

  • Wang, Bi;Bae, So-hyeon;Buh, Gyoung-ho
    • Journal of Engineering Education Research
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    • v.27 no.3
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    • pp.3-13
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    • 2024
  • Since the launch of ChatGPT, many college students used it extensively in various ways in their curricular learning activities. This study investigates the utilization of ChatGPT in the curriculum of first and second-year engineering students, aiming to examine its influence from a learner perspective. We explored how ChatGPT is used in each subject and learning activity to understand how learners perceive the use of ChatGPT. From the survey data on engineering college students at E university, we examined students' perception on 'shortening time to perform tasks' through ChatGPT, 'dependence on ChatGPT', 'their contribution to individual capacity building', and 'their influence on academic grade'. The majority of students reported extensive use of ChatGPT for learning activities, particularly showing high dependency in liberal arts subjects and coding-related activities. While the use of ChatGPT in liberal arts was seen as not contributing to the enhancement of individual capacity, its use in coding was positively evaluated. Furthermore, the contribution of ChatGPT to the creativity in report writing tasks was highly rated. These findings offer several important implications for the use of AI tools like ChatGPT in engineering education. Firstly, the positive impact of ChatGPT's high usability and individual-capacity enhancement in coding should be expanded to other areas of learning. Secondly, as AI technology progresses, the contribution of AI tools compared to learners is expected to increase, suggesting that students should be encouraged to effectively use AI tools to achieve their learning objectives while maintaining a balanced approach to avoid overreliance on AI.

Assessing the Dyeing Properties of Bacterial Cellulose Using Plant-based Natural Dyes (식물성 천연염료에 의한 박테리아 셀룰로오스 섬유소재의 염색 특성)

  • Juneyoung Minn;Hyunjin Kim;Hye Rim Kim
    • Journal of the Korean Society of Clothing and Textiles
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    • v.48 no.4
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    • pp.707-728
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    • 2024
  • This study aimed to assess the colorizing properties of bacterial cellulose (BC) using plant-based dyes, namely spinach, beet, and banana peel, and determine the dyeing conditions of each dye based on color strength (K/S) values. Tannic acid and walnut shell powder were utilized as bio-mordants, and their effects on the dyeability of BC were compared to metallic mordants. Additionally, the type of mordant and the mordanting method were assessed according to their rubbing fastness and dry-cleaning fastness. The K/S values of the colorized and mordanted BCs were also compared to examine their mordanting conditions. Finally, the mordanting conditions for spinach, beet, and banana peel dyeing were selected as post-mordanting with tannic acid, meta-mordanting with tannic acid, and post-mordanting with walnut shell powder, respectively. Based on the results, the selected mordanting conditions improved both rubbing fastness and dry-cleaning fastness of BCs to grade 5, and the light fastness achieved grade 4-5. The tensile strength and flexibility of the dyed BCs were also enhanced and comparable to that of untreated cowhide leather.

A Study on the Identification of Cloud Security Risks in the Manufacturing Industry (제조산업 클라우드 보안위험 식별 연구)

  • Junghun Oh;Juno Lee;Hangbae Chang
    • Journal of Platform Technology
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    • v.12 no.2
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    • pp.3-11
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    • 2024
  • In the trend of digital transformation and the increase in non-face-to-face services triggered by the Fourth Industrial Revolution, the demand for cloud computing services is being sharply stimulated. Currently, the cloud is being introduced in various industrial sectors including public, IT, and finance, and the manufacturing industry is also adopting the cloud to secure future sustainability and is promoting innovation through smart manufacturing. However, it has been found that there are constraints in the adoption of cloud by manufacturing companies due to concerns about security. Existing studies that have identified cloud security risks have been limited to presenting general cloud security risks or technical security risks rather than focusing on the manufacturing industry. Therefore, this study aimed to identify cloud security risks in the manufacturing industry based on the actual concerns in the field. For this, expert interviews and literature research were conducted to newly identify cloud security risks in the manufacturing industry, and the adequacy and urgency of the selected security risks were verified through surveys. Based on this study, if a cloud security management system for the manufacturing industry is designed in the future, it is expected that the adoption of cloud in the manufacturing industry will be more activated.

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Determinants for Long-term Cooperation Between Public Research Institute and SMEs (출연(연)과 중소기업의 장기적 협력을 위한 영향요인 분석: 출연(연)의 인력파견사업을 중심으로)

  • Song, Minkyoung;Park, Beom Soo
    • The Journal of the Korea Contents Association
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    • v.17 no.3
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    • pp.654-665
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    • 2017
  • It is major strategy for SMEs to cooperate with other companies or Public Research Institutes(PRIs) as the essential technology is getting more complicated and technological life cycle is getting short. However, It is not easy to perform a proper cooperation with SMEs for PRIs, because they are accustomed to support SMEs in the short run. In addition, previous studies also have mainly focussed on finding determinants of performance as a consequence of temporary cooperation instead of long-term relationships among companies. Therefore this study analyzed which satisfaction is more effective to maintain the long-term cooperative relationship between PRIs and SMEs. As a result, it has found that when SMEs satisfy from quality of input like manpower supports R&D and context of the support program over the output like technological or economical performance, they intend to continue cooperation with PRIs. And this paper shows that the performance has mediated effect rather direct effect on long-term cooperation intention. In light of all the above, to cooperate with SMEs effectively, it will be suggested that PRIs enhance quality of support process and contents instead of quantity of support based on one-time cooperation.

Compensatory Strategy Observed in the Simulated Crouch Gait of Healthy Adults (정상인에서 쭈그림보행 시뮬레이션 시 관찰된 보상적 전략)

  • Kim, Tack-Hoon;Kwon, Oh-Yun;Yi, Chung-Hwi;Cho, Sang-Hyun;Kwon, Hyuk-Cheol;Kim, Young-Ho
    • Physical Therapy Korea
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    • v.11 no.1
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    • pp.53-67
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    • 2004
  • This simulation study investigated the characteristics of normal gait, $30^{\circ}$ crouch gait, $30^{\circ}$ crouch/equinus gait, $45^{\circ}$ crouch gait, $45^{\circ}$ crouch/equinus gait. The knee flexion angles were restricted using a specially designed orthosis. This study was carried out in a motion analysis laboratory of the National Rehabilitation Center. Fifteen healthy male subjects were recruited for the study. The purposes of this study were (1) to compare spatiotemporal parameters, kinematics, and kinetic variables in the sagittal plane among the different gait, (2) to investigate the secondary compensatory strategy, and (3) to suggest biomechanical physical therapy treatment methods. The pattern and magnitude observed in each condition were similar to those of normal gait, except the peak knee extension moment of the unrestricted ankle motion-crouch gait. However, the speed of the $45^{\circ}$ crouch gait was half that of a normal gait. The ankle joint moment in the crouch/equinus gait showed the double-bump pattern commonly observed in children with spastic cerebral palsy, and there was no significant difference in gait speed as compared with normal gait. The peak ankle plantar-flexor moment and ankle power generated during the terminal stance in the crouch/equinus conditions were reduced as compared with normal and $45^{\circ}$ crouch gaits (p<.05). The crouch/equinus gait at the ankle joint was an effective compensatory mechanism. Since ankle plantarflexion contracture can be exacerbated secondary to the ankle compensatory strategy in the crouch/equinus gait, it is necessary to increase the range of ankle dorsiflexion and the strength of plantarflexion simultaneously to decrease the abnormal biomechanical advantages of the ankle joint.

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