• Journal of IKEEE
• /
• v.26 no.1
• /
• pp.27-35
• /
• 2022

This paper proposes an ultrasound vessel-pattern imaging algorithm with low computational complexity. The proposed imaging algorithm reconstructs blood-vessel patterns by only detecting blood flow, and can be applied to a real-time signal processing hardware that extracts an ultrasonic finger-vessel pattern. Unlike a blood-flow imaging mode of typical ultrasound medical imaging device, the proposed imaging algorithm only reconstructs a presence of blood flow as an image. That is, since the proposed algorithm does not use an I/Q demodulation and detects a presence of blood flow by accumulating an absolute value of the clutter-filter output, a structure of the algorithm is relatively simple. To verify a complexity of the proposed algorithm, a simulation model for finger vessel was implemented using Field-II program. Through the behavioral simulation, it was confirmed that the processing time of the proposed algorithm is around 54 times less than that of the typical color-flow mode. Considering the required main building blocks and the amount of computation, the proposed algorithm is simple to implement in hardware such as an FPGA and an ASIC.

• Korea Trade Review
• /
• v.41 no.1
• /
• pp.117-138
• /
• 2016

ODA is an effort and action of international community to keep human rights by eradicating poverty. UN declared MDGs (Millennium Development Goals) during 2001 and 2015. As a follow-up action, UN sets up SDGs (Sustainable Development Goals) during 2016 and 2030. SDGs expands the concept of ODA. SDGs includes cooperation development over the scope of ODA by mobilizing various financial resources from public sectors and private sectors. It will overcome the limitation of traditional ODA and be 'AID and beyond'. Catalytic aid is appropriate for the concept of SDGs. Cooperation development by catalytic aid focuses on building economic infrastructure and production facilities rather than humanitarian aid, which will establish a sustainable development basis for recipient countries. This study suggests to make a PPP business by linking KSP(Knowledge Sharing Program), to objectify criteria of priority recipient selection and aid allocation, to adapt grant and concessional loan complexly according to the business, to support realization of CSV(Creating Shared Value) by establishing SPC(Special Purpose Company) and to construct a PCSD(Policy Coherence for Sustainable Development) system to fulfill the fore-mentioned strategies.

• Journal of Korean Society of Industrial and Systems Engineering
• /
• v.46 no.2
• /
• pp.13-21
• /
• 2023

In the recent era of the fourth industrial revolution, many industries aim to maximize the efficiency of products and services by introducing cutting-edge technologies such as artificial intelligence and big data. In this situation, organizational culture is changing a lot due to the influx of the MZ generation with strong individualistic tendencies and the decreased face-to-face communication between members. However, active communication with colleagues is still essential to maximize performance, and the margins created by simplifying work processes and automating processes must be used for creating work performance. This requires cooperation and commitment through the job immersion of members who have an active attitude. This study analyzed how the organization's autonomous work environment and trust among members, which are creative work performance conditions, affect job immersion using raw data from the Occupational Safety and Health Research Institute. As a result, it was found that both the organization's autonomous working environment and trust among members significantly effected the members' job immersion. in order to achieve productivity and value improvement in companies, efforts are needed to increase workers' job immersion by building an autonomous working environment and trust among members. The results of this study are expected to contribute significantly to the search for ways to increase workers' job commitment to improve organizational productivity.

• Convergence Security Journal
• /
• v.23 no.2
• /
• pp.55-66
• /
• 2023

Recently, there is an increasing movement to increase the value of AI learning data and to secure high-quality data based on previous research on AI learning data in all areas of society. Therefore, quality management is very important in construction projects to secure high-quality data. In this paper, quality management to secure high-quality data when building AI learning data and improvement plans for each construction process are presented. In particular, more than 80% of the data quality of unstructured data built for AI learning is determined during the construction process. In this paper, we performed quality inspection of image/video data. In addition, we identified inspection procedures and problem elements that occurred in the construction phases of acquisition, data cleaning, labeling, and models, and suggested ways to secure high-quality data by solving them. Through this, it is expected that it will be an alternative to overcome the quality deviation of data for research groups and operators participating in the construction of AI learning data.

• Steel and Composite Structures
• /
• v.45 no.2
• /
• pp.205-218
• /
• 2022

Proper calculation of splitting tensile strength (STS) of concrete has been a crucial task, due to the wide use of concrete in the construction sector. Following many recent studies that have proposed various predictive models for this aim, this study suggests and tests the functionality of three hybrid models in predicting the STS from the characteristics of the mixture components including cement compressive strength, cement tensile strength, curing age, the maximum size of the crushed stone, stone powder content, sand fine modulus, water to binder ratio, and the ratio of sand. A multi-layer perceptron (MLP) neural network incorporates invasive weed optimization (IWO), cuttlefish optimization algorithm (CFOA), and electrostatic discharge algorithm (ESDA) which are among the newest optimization techniques. A dataset from the earlier literature is used for exploring and extrapolating the STS behavior. The results acquired from several accuracy criteria demonstrated a nice learning capability for all three hybrid models viz. IWO-MLP, CFOA-MLP, and ESDA-MLP. Also in the prediction phase, the prediction products were in a promising agreement (above 88%) with experimental results. However, a comparative look revealed the ESDA-MLP as the most accurate predictor. Considering mean absolute percentage error (MAPE) index, the error of ESDA-MLP was 9.05%, while the corresponding value for IWO-MLP and CFOA-MLP was 9.17 and 13.97%, respectively. Since the combination of MLP and ESDA can be an effective tool for optimizing the concrete mixture toward a desirable STS, the last part of this study is dedicated to extracting a predictive formula from this model.

• SUVANNABHUMI
• /
• v.8 no.1
• /
• pp.121-146
• /
• 2016

Defining key characteristics of Southeast Asia requires historical interpretation. Southeast Asia is a diverse and complicated region, but some of modern history's "grand narratives" serve to unify its historical experience. At a minimum, the modern history of the region involves decisive encounters with universal religions, the rise of Western colonialism, the experience of world wars, decolonization, and the end of the "cycle of violence". The ability of the region's peoples to adapt to these many challenges and successfully build new nations is a defining feature of Southeast Asia's place in the global stage. This paper will begin with a question: is it possible to develop a hermeneutic of "expedience" as a way to interpret the region's history? That is, rather than regard the region from a purely Western, nationalist, "internalist" point of view, it would be useful to identify a new series of interpretative contexts from which to begin scholarly analysis. In order to contextualize this discussion, the paper will draw upon the writings of figures who explored the region before knowledge about it was shaped by purely colonist or nationalist enterprises. To this end, particular attention will be devoted to exploring some of John Furnivall's ways of conceptualizing Southeast Asia. Investigating Furnivall, a critic of colonialism, will be done in relation to his historical situation. Because Furnivall's ideas have played a pivotal role in the interpretation of Southeast Asia, the paper will highlight the intellectual history of the region in order to ascertain the value of these concepts for subsequent historical interpretation. Ultimately, the task of interpreting the region's history requires a framework which will move beyond the essentializing orientalist categories produced by colonial scholarship and the reactionary nation-building narratives which followed. Instead, by beginning with a mode of historical interpretation that focuses on the many realities of expedience which have been necessary for the region's peoples, it may be possible to write a history which highlights the extraordinarily adaptive quality of Southeast Asia's populations, cultures, and nations. To tell this story, which would at once highlight key characteristics of the region while showing how they developed through historical encounters, would go a long way to capturing Southeast Asia's contribution's to global development.

• Journal of Korean Society of Industrial and Systems Engineering
• /
• v.46 no.3
• /
• pp.198-208
• /
• 2023

In order to enhance competitiveness in the industry, financial companies are building a high level of customer satisfaction and repurchase intention by further strengthening not only the technical quality of the platform business but also the customer-oriented service quality. Theoretically, it is time for a theoretical review of whether the expansion of service quality using platform business in the financial industry is directly linked to the performance of financial companies, such as satisfaction and repurchase intention of existing customers. Based on the rapid growth of mobile and the main activities of financial platform companies above, This study attempted to test a significant impact on customer satisfaction and reuse intention on information services and system services, which are service quality of mobile financial platforms. Even if a number of financial companies compete with each other, they could survive by dividing the market, In the digital environment, customers have free access, so the winner can monopolize the market. It is an environment in which customers can move to platform companies that provide better services. The contents presented through the results in this study will be able to be used strategically in terms of the implementation and operation of the financial platform. In addition, it served as an opportunity to find independent variables that affect customer satisfaction and reuse intention, which are financial platform service quality, and suggested the possibility of continuous development of the platform in the future. In summary, the service quality of financial platforms can further expand users by emphasizing user visibility in terms of information services and utilizing user-centered financial platforms that increase customer satisfaction and reliability by strengthening the responsiveness and ease of system services. This study is of important value and is believed to have laid an important foundation for future research.

• Journal of the Korean Geotechnical Society
• /
• v.39 no.11
• /
• pp.71-84
• /
• 2023

In accordance with Korean structural foundation design standards, dynamic or static load tests are mandated for 1 to 3% of total piles. The construction quality of the remaining 97% to 99% of piles is determined through penetration measurements. This study aims to enhance the quality control of the majority of piles by adopting a pile driving formula that considers both penetration and hammer energy. The current challenge lies in adapting existing overseas driving formulas to the domestic site conditions, characterized by shallow weathered or soft rocks, and the prevalent use of pre-bored piles. To address this, the Modified Gates formula was refined using domestic dynamic load data, thereby improving its applicability to pile management. Despite employing fewer variables, the proposed formula demonstrates a comparable accuracy to dynamic loading tests in predicting the bearing capacity of pre-bored piles. Consequently, this formula holds promise for practical use in future pile quality management.

• Journal of Environmental Science International
• /
• v.32 no.12
• /
• pp.955-964
• /
• 2023

This study was conducted to obtain basic data on efficient and eco-friendly crop cultivation for urban residents who enjoy urban agriculture as a hobby or leisure activity. We planted strawberry(Fragaria x ananassa)(S) and kidney bean (Phaseolus vulgaris var. humilis)(K) in different ratios to analyze the differences in soil environment, growth, physiology, and productivity, and to investigate the effects. Strawberry growth was optimal with S1K2 ratio, whereas the S1K1 ratio treatment showed the highest levels of physiology and productivity. In terms of growth and physiology, kidney beans tended to perform best in S1K2 treatment. The average number of productive pods was two, with a highest average value of 2.3 being recorded in S2K1 treatment planted with a high percentage of strawberries. In terms of growth, physiology, and prodctivity our findings indicate that it would be desirable to plant starwberries and kidney bean in a 1:1 ratio. However, considering the environmental characteristics of walls and rooftops, it is necessary to effectively manage crops suitable for these conditions. Furthermore, additional studies should be conducted to analyze the quality of fruits and seeds producted, both qualitatively and quantitatively in the future.

• Journal of Information Science Theory and Practice
• /
• v.11 no.4
• /
• pp.51-81
• /
• 2023

This study aimed to study its required performance requirements and proposes a competency framework necessary for the digital workforce of the Provincial Offices in Thailand. The specific primary informants were determined as 17 people. The collecting process was performed using the Delphi technique and the electronic Delphi technique in two phases, totaling four rounds. In the first time, a structured interview was used to conduct online interviews for 15 people. Content validation was performed to determine issues of the competency framework essential for the digital workforce with 7-level scaled questionnaires, and then online reviews were collected between 10-15 people (2nd to 4th times). A consensus was found and confirmed four times with descriptive statistics, namely frequency, mean, standard deviation, mode, median, and the absolute value of the difference between mode and median, interquartile range, and application of the conceptual framework. The research findings revealed that the essential competency requirements for the digital workforce were covered in digital literacy (six aspects), digital skills (four aspects), and digital characteristics (four aspects). Consensus was confirmed for 84 issues. Therefore, it was concluded that 61 points for building an essential competency framework for the digital workforce made them effective in using digital technology as a labor-saving instrument, as well as for expanding the breadth of development of digital expertise to include members of the organization's digital practitioner network. This development will benefit government agencies and the private sector, both national and international, in the future.