In a steam turbine system for nuclear power plant, the exhaust loss consists of leaving loss, hood loss, turn-up loss and restriction loss. The exhaust loss during rated power operation of steam turbine equipment is inevitable, but it can be optimized by several factors such as last stage blade length, condenser vacuum and steam velocity. In this paper the relationship between the exhaust loss and electrical output of domestic nuclear power plants was quantitatively evaluated, and ways to reduce this loss were considered.

Recent, there has been a need for a terminal device with artificial intelligence to detect emergency situations in various means of transportation to prevent overdischarge of the battery even when parking the vehicle for a long time so that the driver can properly prepare. The transmission system, which guides the situation and location information of the vehicle, uses AHD video technology and RTOS technology to reduce the load of wireless networks by increasing the video playback rate through UDP implementation by WiFi, and stabilizes through wireless networks and low-power sensors using LoRa services.

Noodles were manufactured using chickpea powder to evaluate quality characteristics. Compared to noodles made of wheat flour, noodles made with chickpea powder showed higher contents of protein, lipids, ash, and dietary fiber. Among noodle cooking characteristics, weight, moisture absorption rates, volume, and turbidity decreased significantly as the added amount of chickpea powder increased. Comparisons made of the color of noodles with raw noodles after cooking showed that the brightness (L value) of raw noodles tended to decrease as more chickpea powder was added after cooking, and levels of red (a value) and levels of yellow (b value) tended to increase as more chickpea powder was added after cooking. The texture of noodles with added chickpea powder tended to increase as more chickpea powder was added, such as hardness, springiness, gumminess, cohesiveness, and chewiness.

Fish school monitoring technology is utilized for various purposes, such as boat fishing and resource surveys. With advancements in information and communication technology, this technology has expanded its application to remote areas. Its significance has grown in fishing sites, particularly for improving the efficiency and cost-effectiveness of set-net fishing. Set-net fishing gears are not limited to coastal areas, but are also installed in inland and remote sea regions. Consequently, fishermen require technology that allows them to quickly transmit information about approaching fish schools and enables them to perform long-term monitoring. The development of remote monitoring technology for set-net fish schools must consider crucial design factors such as communication range, transmission speed, power consumption of information modules, and operational expenses. In this study, we developed a low-power remote monitoring module for set-net fish school based on WCDMA. The module was specifically designed to minimize power consumption, allowing for communication over long distances and extended operation times in set-net fishing applications. Furthermore, we developed a web server software application that enables remote access to fish schools and provides real-time weather information. The performance of the developed module was evaluated through set-net fishing site application and experiments with moving ships on the sea. The experimental results demonstrated that the remote monitoring system, consisting of the developed low-power remote monitoring module for set-net fish school based on WCDMA and a fish finder, had an average power consumption of 4.6 W, a maximum communication range of 22.84 km, and a data transmission and reception rate of 98.79%. The maximum fish school information transmission and reception rate was 97.26%.

폐수 처리는 담수 공급의 수요를 맞추고 동시에 환경 오염을 제어하기 위한 가장 중요한 기술 중 하나이다. 여러 종류의 증류법과 역삼투 공정과 같은 다양한 기술은 더 높은 에너지 투입을 필요로 한다. 축전식 탈염(CDI) 기술은 전력 소 비가 매우 적어 슈퍼커패시터 원리에 기반한 대안으로 떠오르고 있다. 공정의 효율성을 향상시키기 위해 전극 재료를 개선하 기 위한 연구가 계속되고 있다. 역전기투석은 가장 일반적으로 사용되는 담수화 기술 및 삼투압 발전기이다. 역전기투석의 효 율을 향상시키기 위해 수행된 많은 연구 중, 맥신(MXene)은 이온교환막 및 2차원 나노유체 채널로서 역전기투석의 물리적 및 전기화학적 특성을 향상시킬 수 있는 유망한 방법으로 떠오르고 있다. 맥신은 단독 사용뿐만 아니라 다른 물질들이 맥신 과 혼합되어 복합막의 성능을 더욱 향상시킨다. 전처리를 거치거나 Ti3C2Tx, 나피온 등을 포함한 이종구조를 가진 맥신은 각 각 최대 담수화 성능 측정 결과를 통해 담수화 산업에서 유망한 재료로 맥신의 잠재력을 입증했다. 역전기투석을 통한 삼투 압 발전 산업에서 이온교환막에서 비대칭 나노유체 이온 채널에 맥신을 사용함으로써 최대 삼투압 출력 밀도를 크게 향상시 켰으며, 대부분 상용화 기준값인 5 Wm-2를 넘었다. 일정 개수의 단위체를 연결함으로써 매개체의 도움 없이 전자기기에 직접 적으로 전력을 공급할 수 있는 수준의 전압이 출력됐다. 본 리뷰에서는 맥신 복합막을 기반으로 한 전기투석 공정의 최근 연 구들에 대해 설명한다.

In the last years, we have witnessed the consolidation of an increasing number of media channels including but not limited to, social media, brand sites, podcasts and the recent developments into the metaverse (Blazquez, 2023). Consumers are exposed to multiple stimuli with shorter attention spans which makes challenging for brands to create meaningful relationships that can sustain brand loyalty. It is important to revisit the role of campaigns that communicate brand-related messages and aim to affect brand image. Christmas advertising has become a part of consumers’ festive rituals (Cartwright et al., 2016) and engendering a positive response is particularly important at this time of year given that it is associated with love, friendship and reconciliation. These campaigns that appeal to a wider target audience, find in traditional media an important channel to get to their customers but also use digital channels which make them more inclusive.

We can be expected that the experience of damage caused by COVID-19 has had a negative impact on consumers' perceived quality of life. This study identifies factors that governments can positively impact the lives of consumers facing financial difficulties. We consider policy proposals to improve the quality of life of consumers at financial risk when situations like COVID-19 reoccur in the future

This study aimed to investigate the viewing experience of Taekwondo competitions, compare and analyze the viewing experience according to the type of Taekwondo competition, derive the viewing experience structure of Taekwondo contents, and confirm the potential of Power Taekwondo as a sustainable sports content developed for the purpose of popularizing Taekwondo.

We investigate the incremental predictive power of three consumer dispositions – xenocentrism, cosmopolitanism and ethnocentrism – on domestic and foreign product purchase intentions, after taking the impact of consumer demographics and product category-specific variables into account. Using data from an online survey of 201 Turkish consumers, hierarchical regression analysis reveals that widely used demographic variables (namely, age, gender and education) do not significantly influence consumer intentions to buy either domestic or foreign clothing products. Of the consumer dispositions, xenocentrism exerts a significant negative effect on domestic product purchase intentions, cosmopolitanism has a positive effect on foreign product purchase intentions, while ethnocentrism shows no effect on either domestic or foreign product purchase intentions. Implications of the findings are considered and future research directions identified.

Service encounters increasingly feature AI-powered inputs such as add-ons recommendations or aftercare solutions. These novel forms of customer service, provided by AI rather than humans, can shape customers’ sense of agency throughout the customer journey. Customers find themselves in a form of competitive collaboration with AI, sharing tasks, resources, inputs, and decisions. This research conceptualises and develops a scale to measure shared agency power during customer-AI interactions. Understanding the role of agency in AI- customer interactions is important, as agency represents a source, mechanism, delimiter and effect of a human’s or a machine’s actions. Agency may differ across various service encounters and with it, the type of perceived risks associated with human-AI interactions. Future research may use the shared agency power scale to better understand the nature and impact of customer-AI interactions in a service context on traditional marketing factors.

Algorithms are rapidly altering the way society operates (SIOP, 2020). Algorithms are used in modern businesses for tasks such as hiring, advising investors on financial matters, recommending new products to customers (Shankar, 2018). However, lay people frequently oppose them, a phenomenon known as algorithm aversion (e.g., Dietvorst et al., 2015). While prior research tries to address this issue by identifying cognitive and affective predictors of algorithm aversion, we seek to contribute to the algorithm aversion literature by investigating an understudied antecedent of people’s support for algorithm adoption—their cultural values (Dietvorst & Bartels, 2022).

This study investigated the conditions under which consumer participatory corporate social responsibility (CSR) campaigns could be effective and focused on power as the key variable. Specifically, based on motivational intensity theory, the interaction effect between participation effort and power was examined on CSR attitude and participation intention. In addition, this study tested the mediated moderating effect of power through self-efficacy in order to examine the mechanism behind the interaction effect. Results of two experimental studies (Study 1 and Study 2) showed a significant the interaction effect of participation effort and power on participation intention. When the consumer's power was low, participation intention was lower for those in the high effort condition compared to those in the low effort condition. On the other hand, when power was high, there was no difference in participation intention according to the level of participation effort. This study has significance in that it reaffirms and furthermore expands the existing academic results and presents practical implications.

Negative brand events can significantly harm the brand, affecting consumer cognitions, emotions, and behavior, leading to negative brand evaluations, negative emotions, brand avoidance, and retaliation. Thus, it is critical for brands to design and implement strategies that promote consumer forgiveness to mitigate those negative consumer responses. Despite the growing literature on the determinant factors of consumer behavior in a brand failure context, there is still scarce evidence regarding the impact of brand type on consumer responses, including consumer forgiveness, following a negative brand event. Considering that consumers tend to react differently to a brand perceived as arrogant (making them feel inferior), as opposed to a brand they strongly identify with, this paper focuses on failures of equal vs. higher status brands and investigates their impact on consumer forgiveness. Following the above, we expect that differences in brand status can shape consumer behavior following a failure or transgression.

Some well-known luxury fashion brands log off social media or deliberately keep their accounts empty. The article investigates how consumers of high-end fashion brands react to this social media strategy through a series of experiments. This study provides managerial implications for social media strategy of luxury fashion brands.

The impact of firms' marketing communication on word of mouth (WOM) has been studied extensively in recent years, with a growing focus on electronic word of mouth (eWOM). The advent of the internet and the participatory web or Web 2.0 has dramatically changed the relationship between marketers and consumers, with consumers playing a more active role. However, there is a gap in understanding this area, including a lack of research on identifying specific groups of consumers that companies should focus on for eWOM marketing. Eye-tracking techniques have been suggested to address this issue, but these methods can be costly and rely on lab-based observations. Analyzing unstructured data from consumer-to-consumer interactions on social media is an underutilized approach in current marketing literature. The authenticity of eWOM is a highly valuable trait, but there can be a tension between commercial and communal norms, even in relatively informal settings like a blogger endorsing a product.

본 연구는 아시아의 국제관계가 변화하는 맥락에서 "아시아 나토"의 실 행 가능성과 잠재적 영향을 검토한다. 아시아 버전 나토의 가능성을 분 석하기 위해 세 가지 목표를 추구한다: (1) 나토의 성격을 조사하고 아시 아에서의 잠재적 적용을 검토한다, (2) 세력균형이론과 위협균형이론의 관점에서 나토의 과거 실패를 검토한다, (3) 정치와 군사적 도전을 고려 한 아시아 나토의 실행 가능성을 평가한다. 이 연구는 미국과 일본을 중 심으로 아시아 나토에 대한 관심이 증가한 지정학적 변화를 탐구한다. 현재 미중 균형과 위협 사이의 균형은 양자 및 삼자 동맹을 설정하는 데 이르렀지만 아시아 나토의 가능성은 여전히 쉽지 않다. 그러나 중국이 지역 패권 추구로 인한 압도적인 외부 위협을 초래하면, 아세안 국가들 은 집단 안보 체제에 가입할 수 있다. 본 논문은 특히 이러한 상황에서 한국이 직면할 수 있는 문제점에 대해서도 지적한다.

The large process plant is currently implementing predictive maintenance technology to transition from the traditional Time-Based Maintenance (TBM) approach to the Condition-Based Maintenance (CBM) approach in order to improve equipment maintenance and productivity. The traditional techniques for predictive maintenance involved managing upper/lower thresholds (Set-Point) of equipment signals or identifying anomalies through control charts. Recently, with the development of techniques for big analysis, machine learning-based AAKR (Auto-Associative Kernel Regression) and deep learning-based VAE (Variation Auto-Encoder) techniques are being actively applied for predictive maintenance. However, this predictive maintenance techniques is only effective during steady-state operation of plant equipment, and it is difficult to apply them during start-up and shutdown periods when rises or falls. In addition, unlike processes such as nuclear and thermal power plants, which operate for hundreds of days after a single start-up, because the pumped power plant involves repeated start-ups and shutdowns 4-5 times a day, it is needed the prediction and alarm algorithm suitable for its characteristics. In this study, we aim to propose an approach to apply the optimal predictive alarm algorithm that is suitable for the characteristics of Pumped Storage Power Plant(PSPP) facilities to the system by analyzing the predictive maintenance techniques used in existing nuclear and coal power plants.

We have observed a phenomenon where the internal X capacitors of the input EMI filter experienced damage during operation. To solve the problem, we have analyzed the malfunction by identifying the characteristics and operating principles of EMI filter. Based on this analysis, we have derived improvement strategies and validated them through experiments. This paper help some people prevent the similar problem when developing the similar equipment and solve the similar problem of the similar equipment.

The noise of large and high-power machines was evaluated and the establishment of mitigation measures was studied. The noise level of large machinery and high-power machinery installed at domestic plant sites was investigated and compared with the noise disclosure regulations to see if they met the standards of the Occupational Safety and Health Act. This investigated the soundproofing design of large and high-power machines and the soundproofing design of complex noise of large machines installed in the plant, and prepared the design standards of the plant design company. In the future, we will compile a database of data to secure standards for research and plant design related to noise reduction, and propose noise improvement and management measures for large and high-power machines.

Numerous studies have attempted to predict the energy output of solar-powered vehicles based on different parameters such as road conditions, driver characteristics, and weather. However, since these studies were conducted on stationary vehicles, they are limited in their accuracy when applied to driving vehicles. This study aimed to improve the accuracy of electric power prediction for a solar-powered bus by applying a technique that improves energy efficiency without affecting driving performance. A comparative analysis of power generation and solar irradiance data was conducted for the bus driven on different roads to forecast its power generation, and a high-accuracy power generation prediction equation was derived. A comparison with actual test results revealed that a power generation forecast accuracy of at least 90% was achieved, validating the equation used for forecasting. With this power generation prediction process, it is possible to forecast the amount of energy generated in advance when a solar bus is operated in a specific area.