• Parasites, Hosts and Diseases
• /
• v.58 no.2
• /
• pp.147-152
• /
• 2020

Malaria is a potent burden on public healthcare worldwide due to requiring rapid diagnosis and treatment. Nowadays, prompt diagnosis with rapid diagnostic tests (RDTs) has been widely accepted as an effective diagnostic technique in malaria-endemic countries, primarily due to their easy operation, fast output, and straightforward interpretation. The global availability and use of RDTs have gradually grown over recent decades as field-applicable diagnostic tests for the reliable confirmation of malaria infection and proper case management. This study was conducted to evaluate diagnostic performance of 3 commercially available malaria RDT kits : BIOCREDIT^TM Malaria Ag Pf(pLDH), Malaria Ag Pf(pLDH/pHRPII), and Malaria Ag Pf/Pv(pLDH/pLDH) (where pLDH and pHRPII stand for plasmodium lactate dehydrogenase and histidine-rich protein 2, respectively) for the specific detection of Plasmodium falciparum. A total of 1,129 blood samples including 95 blood samples, confirmed as vivax malaria infection by microscopic examinations and a nested-PCR method, were tested for falciparum malaria infection. The overall sensitivity and specificity of Malaria Ag Pf(pLDH/pHRPII), Malaria Ag Pf/Pv(pLDH/pLDH), and Pf(pLDH) for P. falciparum were 99.0% and 100%, 95.8% and 100%, and 100% and 100%, respectively. It is proposed that the 3 RDT kits perform reliable level of diagnostic accuracy of detection for P. falciparum parasites.

• East Asian Journal of Business Economics (EAJBE)
• /
• v.8 no.2
• /
• pp.29-41
• /
• 2020

Purpose - This study incorporated the success factors of bio cluster and provided the ways to utilize them for managing the performance of bio cluster. The aim of this study was to present an integrated framework for the success factors of the bio cluster by combining the literature and case studies, and to measure and manage the performance of the bio cluster. Research design, data, and methodology - This study combined the literature review with the case study. We reviewed the literature on the success factors of the bio cluster presented by existing studies. We studied some cases of how these factors are actually applied in the bio cluster also. We integrated the success factors of bio cluster based on both the literature review and the case study. Results - The success factors of the bio cluster presented in this study as an integrated framework were defined as six factors: knowledge base and expertise, industrial infrastructure, funding and investment, government support, start-up activities and innovation activities. These success factors can be measured and managed by some performance indicators of each factor. Conclusions - Through this study, we can identify the integrated success factors of the bio cluster and understand how these factors work in bio cluster. In addition, this integrated framework of success factors will be effectively utilized to measure and manage the performance of the bio cluster.

• Asia pacific journal of information systems
• /
• v.9 no.1
• /
• pp.39-58
• /
• 1999

This study examines whether expenditures in information technology (IT) are associated with increases in Tobin's q ratios, a measure of management performance, in the banking industry. The association between IT expenditures and Tobin's q ratios is different, depending upon the banks' size (national vs regional) and strategic orientation (wholesale vs retail), in the Korean commercial banks for the period studied 1990-1996, For national commercial banks which have more clients and electronic banking systems than regional banks, IT expenditures appear to increase Tobin's q ratios. This may indicate that IT is linked to the ability to achieve economies of scale or network effects when large banks use IT as a strategic tool. The association between IT expenditures and management performance measures is also positive and statistically significant for retail-oriented banks. This research makes two important practical contributions with respect to financial reform. First, the evidence suggested that Korean commercial banks need to apply IT strategy in conjunction with restructuring strategy to be a super-bank and, hence, reap substantial competitive advantage from IT applications. Second, since the government recently encouraged commercial banks to increase credit loans as a means of financial reform, most banks tend to focus on retail banking. IT used in the retail banking sector contributes to improve management performance as the evidence suggested.

• International Journal of Computer Science & Network Security
• /
• v.23 no.8
• /
• pp.77-84
• /
• 2023

The utilization of GPUs on general-purpose computers is currently on the rise due to the increase in its programmability and performance requirements. The utility of tools like NVIDIA's CUDA have been designed to allow programmers to code algorithms by using C-like language for the execution process on the graphics processing units GPU. Unfortunately, many of the performance and correctness bugs will happen on parallel programs. The CUDA tool support for the parallel programs has not yet been actualized. The use of a dynamic analyzer to find performance and correctness bugs in CUDA programs facilitates the execution of sophisticated processes, especially in modern computing requirements. Any race conditions bug it will impact of program correctness and the share memory bank conflicts to improve the overall performance. The technique instruments the programs in a way that promotes accessibility of the memory locations accessed by different threads well as to check for any bugs in the code of a program. The instrumented source code will be used initiated directly in the device emulation code of CUDA to send report for the user about all errors. The current degree of automation helps programmers solve subtle bugs in highly complex programs or programs that cannot be analyzed manually.

• Transactions of the Korean Society of Mechanical Engineers A
• /
• v.41 no.10
• /
• pp.967-974
• /
• 2017

In this paper, a differential-braking-based yaw moment control system was developed to guarantee robust performance against road bank angle. A new target yaw rate model was established by combining the signal from a lateral acceleration sensor and 2-DOF single track model. In addition, a disturbance observer was utilized to take into account parameter uncertainties in yaw dynamics and to improve robust performance of the controller. CARSIM, which is a multi-DOF vehicle dynamic simulation tool, was used to verify the performance of the proposed controller in various driving scenarios. The simulation results indicate that the stability of the vehicle was robustly maintained by the controller, which is characterized by the reflection of the signal of a lateral acceleration sensor signal and by the compensation of the errors in the model parameters via the disturbance observer.

• Journal of the Korean Institute of Telematics and Electronics S
• /
• v.36S no.6
• /
• pp.1-8
• /
• 1999

Multi-carrier CDMA is a transmission scheme where data symbols are spread in the frequency domain with a spread code then transmitted using multiple carriers. It is robust against narrowband interference because of its long symbol duration. However, due to large sidebands of the rectangular window frequency response, subchannels spectrally overlap with neighboring subchannels, which leads to substantial intercarrier interference in a dispersive channel. In this paper, we consider a mult-carrier CDMA system where subchannel spectral containment is achiveved by M-band cosine modulated filter bank (CMFB). In CMFB based MC-CDMA, subchannel spectral containment is achieved using the filter bank of longer impulse response than that of conventional discrete Fourier transform (DFT) filter bank. We show that spectral containment feature of the CMFB based fading channel is analyzed using computer simulations.

• Journal of Intelligence and Information Systems
• /
• v.28 no.2
• /
• pp.191-206
• /
• 2022

Recently, it is a de-facto approach to utilize a pre-trained language model(PLM) to achieve the state-of-the-art performance for various natural language tasks(called downstream tasks) such as sentiment analysis and question answering. However, similar to any other machine learning method, PLM tends to depend on the data distribution seen during the training phase and shows worse performance on the unseen (Out-of-Distribution) domain. Due to the aforementioned reason, there have been many efforts to develop domain-specified PLM for various fields such as medical and legal industries. In this paper, we discuss the training of a finance domain-specified PLM for the Korean language and its applications. Our finance domain-specified PLM, KB-BERT, is trained on a carefully curated financial corpus that includes domain-specific documents such as financial reports. We provide extensive performance evaluation results on three natural language tasks, topic classification, sentiment analysis, and question answering. Compared to the state-of-the-art Korean PLM models such as KoELECTRA and KLUE-RoBERTa, KB-BERT shows comparable performance on general datasets based on common corpora like Wikipedia and news articles. Moreover, KB-BERT outperforms compared models on finance domain datasets that require finance-specific knowledge to solve given problems.

• Journal of the Institute of Convergence Signal Processing
• /
• v.2 no.3
• /
• pp.32-38
• /
• 2001

Multi-carrier data transmission system performance is mostly limited by Inter- symbol-interference that is caused by a dispersive characteristic of the transmission channel. In order to enhance the system performance to meet the service requirements of local access, the channel impulse response shortening method incorporated with a channel frequency response compensation method is proposed. For a fast and efficient implementation of the equalizer proposed, Kalman and LMS algorithms are successively used. To verify the channel equalization performance, a set of computer simulation is performed on a filter bank based multitone system operating in a typical high-speed local area data transmission environment. The results showed us a comparable signal-to-interference improvement over the conventional multitone equalization scheme.

• International Area Studies Review
• /
• v.22 no.4
• /
• pp.37-54
• /
• 2018

This study examines empirically on relevance between bank performance and IC(Intellectual Capital) in the field of banking sector in Korea. IC is measured by VAIC(Value Added Intellectual Capital) and VAIC consists of HCE(Human Capital Efficiency Coefficient), CEE(Capital Employed Efficiency Coefficient) and SCE(Structural Capital Efficiency Coefficient). Main results are as follows. First, the effects of IC(Intellectual capital) on banks performance show significant (+) effect on the performance of banks. Second, Human capital and bank size shows the significant effect on the banks financial performance but SCE, CEE, and other variables didn't show it. As a concluding remark, IC(Intellectual capital) is very helpful for banks to go forward financially to get information and knowledges easily. This study help stakeholders and investors assess the value creating potential of banks and policy makers to implement policies for performance establishment of a Korean banking sector.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.10 no.7
• /
• pp.1307-1311
• /
• 2006

In this paper, we propose new speech feature parameter using the Matrix Factorization for appearance part-based features of speech spectrum. The proposed parameter represents effective dimensional reduced data from multi-dimensional feature data through matrix factorization procedure under all of the matrix elements are the non-negative constraint. Reduced feature data presents p art-based features of input data. We verify about usefulness of NMF(Non-Negative Matrix Factorization) algorithm for speech feature extraction applying feature parameter that is got using NMF in Mel-scaled filter bank output. According to recognition experiment results, we confirm that proposed feature parameter is superior to MFCC(Mel-Frequency Cepstral Coefficient) in recognition performance that is used generally.