Earticle

In this study, we conceptualized and categorized technical cooperation projects in the agricultural sector and analyzed cases of implementation and evaluation of representative technical cooperation projects such as KOPIA, KAPEX, KSP, CIAT, etc.. It’s to find problems in the process of implementation and management. Based on this, we tried to seek directions for improvement of performance. In other words, problems found are categorized as poor participation by partner countries, insufficient expertise in ODA projects, constraints on sustainability and performance expansion, and limitations on project management and performance evaluation, and the corresponding directions of performance improvement are strengthening the participation and responsibility of partner countries, enhancing the expertise of technical cooperation projects in agricultural sector, discovery and implementation of the link-and-convergence projects, strengthening the monitoring and evaluation (M&E) system. Furthermore, based on these results, specific implementation measures were proposed for improving performance by stage (planning, proceeding and terminating) of implementation of technical cooperation projects.

In a multi-hop wireless network, connectivity is determined by the link that is established by the receiving signal strength computed by subtracting the path loss from the transmission power. Two path loss models are commonly used in research, namely two-ray ground and shadow fading, which determine the receiving signal strength and affect the link quality. Link quality is one of the key factors that affect network performance. In general, network performance improves with better link quality in a wireless network. In this study, we measure the network connectivity and performance in a shadow fading path loss model, and our observation shows that both are severely degraded in this path loss model. To improve network performance, we propose power control schemes utilizing link quality to identify the set of nodes required to adjust the transmission power in order to improve the network throughput in both homogeneous and heterogeneous multi-hop wireless networks. Numerical studies to evaluate the proposed schemes are presented and compared.

In spite of enormous increase in data generation, its practical usage in the construction sector has not been prevalent enough compared to those of other industries. The author would explore the obstacles against efficient data application in the arena of expenditure forecasting, and suggest a forecasting method by applying Case-based Reasoning (CBR). The newly suggested method in the research, enables project managers to forecast monthly expenditures with less time and effort by retrieving and referring only projects of a similar nature, while filtering out irrelevant cases included in database. Among 99 projects collected, the cost data from 88 projects were processed to establish a new forecasting model. The remaining 10 projects were utilized for the validation of the model. From the comprehensive study, the choice of the numbers of referring projects was investigated in detail. It is concluded that selecting similar projects at 12~19 % out of the whole database will produce a more precise forecasting. The new forecasting model, which suggests the predicted values based on previous projects, is more than just a forecasting methodology; it provides a bridge that enables current data collection techniques to be used within the context of the accumulated information. This will eventually help all the participants in the construction industry to build up the knowledge derived from invaluable experience.

In cognitive radio networks (CRNs), the performance of the transmission control protocol (TCP) at the secondary user (SU) severely drops due to the mistrigger of congestion control. A long disruption is caused by the transmission of primary user, leading to the mistrigger. In this paper, we propose a cross-layer approach, called a CR-aware scheme that enhances TCP performance at the SU. The scheme is a sender side addition to the standard TCP (i.e., TCP-NewReno), and utilizes an explicit cross-layer signal delivered from a physical (or link) layer and the signal gives an indication of detecting the primary transmission (i.e., transmission of the primary user). We evaluated our scheme by implementing it onto a software radio platform, the Universal Software Radio Peripheral (USRP), where many parts of lower layer operations (i.e., operations in a link or physical layer) run as user processes. In our implementation, we ran our CR-aware scheme over IEEE 802.15.4. Furthermore, for the purpose of comparison, we implemented a selective ACK-based local recovery scheme that helps TCP isolate congestive loss from a random loss in a wireless section.

Internet accessibility has been growing due to the diffusion of smartphones in today's society. Therefore, people can generate data anywhere and are confronted with the challenge that they should process a large amount of data. Since the appearance of relational database management system (RDBMS), most of the recent information systems are built by utilizing it. RDBMS uses foreign-keys to avoid data duplication. The transactions in the database use attributes, such as atomicity, consistency, isolation, durability (ACID), which ensures that data integrity and processing results are stably managed. The characteristic of RDBMS is that there is high data reliability. However, this results in performance degradation. Meanwhile, from among these information systems, some systems only require high-performance rather than high reliability. In this case, if we only consider performance, the use of NoSQL provides many advantages. It is possible to reduce the maintenance cost of the information system that continues to increase in the use of open source software based NoSQL. And has a huge advantage that is easy to use NoSQL. Therefore, in this study, we prove that the leverage of NoSQL will ensure high performance than RDBMS by applying NoSQL to database systems that implement RDBMS.

To investigate the effect of dietary supplementation with a fermented mixture of bean dregs and wheat bran (FBW) on sow performance. FBW was given to sows during late gestation and lactation; in total, 24 sows were randomly assigned to 4 groups (control diet; 3% FBW diet; 6% FBW diet; 9% FBW diet, n = 6). The weight ratio of bean dregs (wet) to wheat bran was 4:6. Sows were fed different diets from 85 d of gestation until weaning. The results showed that supplementation with FBW increased average daily feed intake (ADFI) during lactation (p < 0.05). FBW supplementation also increased litter weight and milk yield (p < 0.05). The contents of Escherichia coli in the feces of the treatment groups were significantly reduced by FBW supplementation (p < 0.01). FBW supplementation significantly improved the fecal morphology (p < 0.05), alleviating sows’ constipation. In conclusion, FBW could increase the ADFI, improve lactation and piglet litter weight in sows and reduce the pathogenic bacterial content in sow feces and constipation.

This study attempts to provide policy alternatives for the performance-based crisis management system. Also this study suggests several requirements relating the crisis management strategic planning and performance measurement. Results are as follow. First, this study suggests the general seven basic steps of development in the performance-based crisis management system and several requirements for the crisis management relating the strategic planning and performance measurement. Second, the change of recognition on the acceptability of the performance-based culture has to be emphasized in the crisis management organization. Third, strategic planning approach is important to help set priorities and allocate scarce resources in a changing environment. Forth, this study suggests several requirements for the crisis management information system such as BSC system and beware of the data loss. Fifth, the crisis management organization officer’s or employee’s organization commitment and job satisfaction will be considered with the transformational leadership and trust.

The rapid expansion of the Internet and digital sectors has undeniably driven global economic growth and expanded commercial opportunities. However, this growth is accompanied by significant environmental challenges, including increased electronic waste and higher energy consumption by data centers, which contribute to climate change and threaten the sustainability of our living environment. These challenges highlight the urgent need for sustainable solutions in these sectors. This study addresses these pressing environmental concerns by exploring ways to improve environmental performance in China's burgeoning Internet industry. The focus is on the role of green transformational leadership, which has emerged as a critical factor in driving organizational sustainability initiatives. Green transformational leadership inspires environmental consciousness among employees and actively encourages innovative practices that prioritize sustainability. Specifically, the study examines how green innovation and creativity serve as mediators in the relationship between green transformational leadership and employees' environmental performance, offering insights into the mechanisms through which leadership can foster greener workplace practices。 An online survey from September 16 to December 16, 2023, gathered 416 responses from employees in China's Internet industry, with 368 valid data sets resulting in an 88.5% response rate. The data were analyzed using SPSS 26 and AMOS 24 to verify the reliability and validity of variables, assess model fit, and test the proposed hypotheses. The findings reveal that green transformational leadership has a significant positive impact on green innovation, green creativity, and environmental performance. Furthermore, the study highlights the crucial mediating roles of green innovation and creativity in the relationship between green transformational leadership and environmental performance. In conclusion, this study provides empirical evidence supporting the adoption of green transformational leadership in the Internet and digital sectors. As organizations face increasing pressure to address environmental concerns, green transformational leadership offers a viable solution for driving both organizational success and environmental sustainability. By harnessing the power of green innovation and creativity, companies can create a sustainable future while maintaining competitiveness in a rapidly digitalizing world.

Computed Tomography (CT) 영상에서 Gaussian noise는 영상이 획득되는 과정에서 불가피하게 발생되며, 이는 segmentation의 성능 및 진단의 정확도를 저하시키는 요인으로 작용한다. 따라서, 본 연구에서는 denoising filter의 종류에 따른 영역확장 (region growing, RG) 기반 segmentation 알고리즘의 성능을 정량적으로 비교 평가하였다. 실험을 위해 Shepp-Logan phantom 영상으로부터 0.05의 표준편차 값을 갖는 Gaussian noise를 부가하고 각각 mean, median, Wiener filter를 적용하였다. 이후, RG 기반 segmentation 알고리즘을 적용하였으며, 이에 대한 정량적 평가를 위해 F1-score와 IoU를 측정하였다. 결과적으로, F1-score 및 IoU 인자 모두 noisy, mean filter, median filter 그리고 Wiener filter 순으로 우수한 값을 보였다. 특히, Wiener filter를 적용하였을 때 noisy 영상과 비교하여 F1-score 및 IoU 인자는 각각 약 1.42배 및 1.75배 향상됨을 확인하였다. 결론적으로, CT 영상의 segementation 정확도를 향상시키기 위해 적합한 denoising filter를 적용해야 함을 증명하였다.

Segmentation is very important in accurate surgical planning such as liver transplantation and resection and identification of lung nodules. In a computed tomography image, Gaussian noise inevitably occurs in the process of acquiring the image. Gaussian noise can interfere with segmentation and interfere with accurate diagnosis, resulting in fatal consequences for patients. Therefore, this study attempted to compare and evaluate which filter is most effective for denoising in performing segmentation. For the study, Gaussian noise was added to Shepp-Logan phantom and mean, median, and Wiener filter were applied, respectively. Thereafter, segmentation was performed using the thresholding technique to evaluate using F1-score and IoU to find the most suitable filter for denoising. As a results, the F1-score was 0.62 for noise-added image, 0.697 for mean filter, 0.858 for median filter, and 0.88 for Wiener filter. The IoU was 0.449 for noise-added image, 0.535 for mean filter, 0.752 for median filter, and 0.785 for Wiener filter. Therefore, the Wiener filter was confirmed to be the most effective for denoising, and it was confirmed that the F1-score improved 1.42 times and the IoU 1.75 times compared to the noise-added image. In conclusion, various denoising filter methods were analyzed to improve the accuracy of segmentation, and Wiener filter is expected to be used in an efficient way.

본 논문은 지능형교통시스템(ITS: Intelligent Transport System)을 위한 V2X 간의 무선통신 시스템에 적용되는 WAVE(Wireless Access in Vehicle Environments) 안테나 시스템에 대한 연구이다. 5.825~5.9GHz 주파수대역의 WAVE 통신은 차량이 주행하면서 도로 인프라에 설치되어 있는 기지국과 다른 차량에 장착되어 있는 단말기간의 무선통신에 사용할 수 있도록 하는 표준화된 프로토콜이다. 최근의 WAVE 통신시스템 연구에서는 통신거리에 따른 통신성능을 향상시키기 위해서 기지국과 차량 단말기 기술개발 위주로 연구되고 있으나, 본 논문에서는 시스템 성능 개선 가능성을 검토하고자 차량 루프에 장착가능한 자동차용 안테나 시스템의 설계구조 개선에 대한 연구를 진행하였다. WAVE 안테나 베이스 구조에 EBG(Electro Band-Gap) 구조를 적용하여 비교시뮬레이션을 통해 반사손실이 저감되어 성능이 향상되는 것을 확인하였다.

This paper describes a design of the WAVE antenna system in V2X wireless communication systems for Intelligent Transport Systems. The WAVE standard protocols defined 5.825~5.9GHz frequency range for wireless communications with V2X. In a recent, A study of WAVE communication system it has been studied mainly the base station and the OBU technology in order to improve the communication performance of the communication distance. In this paper, the proposed vehicular WAVE antenna using the EBG structure is to improve performance. The proposed WAVE antenna with EBG shows improvement of return loss and radiation beam pattern. The performance of WAVE communication systems for intelligent transport systems is dependent on the performance of antenna. The proposed vehicular antenna for WAVE communication systems shows improvement of return loss for performance.

Triathlon combines three events such as swimming, cycling and running. The competitions last between 1 hour(sprint course: swim 750m, bike 20km, run 5km) and 17 hours(Ironman course: swim 3.8km, bike 180km marathon 42km). Triathlon performance is determined by physiological and nutritional factors, all acting as an integrated package which can enhance performance. There is not sufficient data about nutritional strategies in triathlon. The aim of this review is to identify nutritional considerations in triathlon and to provide nutritional recommendations for enhancing triathlon performance. Nutritional strategies are essential considerations for optimal performance and should reflect the specific requirements of the triathlon event. Specifically, we will focus on how to manipulate the optimal nutrition intake for enhancing performance and recovery in triathlon.

최근 현존 군사력의 극대화와 효율적 운영을 위해 무기체계 성능개량에 대한 관심이 증가하고 있다. 현재 무기체계 성능개량의 절차에 관한 규정만 제시되어 있어, 어떤 기준으로 성능개량 시기를 판단하느냐하는 하는 중요한 문제에 대한 연구의 필요성이 있다. 따라서 본 논문은 기존의 성능개량 판단을 위한 분석평가의 경험을 바탕으로 6가지 판단기준 요소(기술변화주기, 내구연한, 창정비주기, 예산, 경제적수리한계, 가동률)를 이용하여 성능개량 시기를 판단하는 개선방안을 제안하고 해군 함정의 무기체계를 사례로 제시하고자 한다.

According to the need of effectively managing and maximizing the existing military power, the military has recently paid attention on improving performances in weapon systems. Currently, the procedure for performance improvement in weapon systems exist while there is no regulatory guidance on decision. Therefore, we developed a methodology to quantitatively find decision points for PIP in weapon systems using the 6 considerations(the technology life cycles, the service life, the repair cycles in maintenance depot, budget, the economic repair limit, the rate of operation) is based on our long experiences of the analysis and assesment. Then, we apply the methodology to the one of the systems and components in ROKN DDH.