• 한국멀티미디어학회논문지
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• 제21권11호
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• pp.1327-1332
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• 2018

An AGV(Automated Guided Vehicle) where is running on production automated system is related efficiency of production system similarly. On previous study proposed a path collision avoidance algorithms using shortest path of AGV. Running time about loading and unloading with shortest path of AGV is important factor to decide the production system efficiency. In this paper, we propose a method of shortest path and shortest time. Also propose the decision making method of collision avoidance position for setup a shortest runway for next command. To do verify the proposed method consist a simulation for AGV. Finally, we compare and analyse the proposed system between the existing system and show that our system can effectively the performance.

• International Journal of Computer Science & Network Security
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• 제21권6호
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• pp.101-106
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• 2021

Breast cancer is the number one cause of deaths from cancer in women, knowing the type of breast cancer in the early stages can help us to prevent the dangers of the next stage. The performance of the deep learning depends on large number of labeled data, this paper presented convolutional neural network for classification breast cancer from images to benign or malignant. our network contains 11 layers and ends with softmax for the output, the experiments result using public BreakHis dataset, and the proposed methods outperformed the state-of-the-art methods.

• International Journal of Computer Science & Network Security
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• 제21권3호
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• pp.31-36
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• 2021

RNA sequencing (RNA-Seq) is a technology that facilitates transcriptome analysis using next-generation sequencing (NSG) tools. Information on the quantity and sequences of RNA is vital to relate our genomes to functional protein expression. RNA-Seq data are characterized as being high-dimensional in that the number of variables (i.e., transcripts) far exceeds the number of observations (e.g., experiments). Given the wide range of dimensionality reduction techniques, it is not clear which is best for RNA-Seq data analysis. In this paper, we study the effect of three dimensionality reduction techniques to improve the classification of the RNA-Seq dataset. In particular, we use PCA, SVD, and SOM to obtain a reduced feature space. We built nine classification models for a cancer dataset and compared their performance. Our experimental results indicate that better classification performance is obtained with PCA and SOM. Overall, the combinations PCA+KNN, SOM+RF, and SOM+KNN produce preferred results.

• International Journal of Computer Science & Network Security
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• 제21권6호
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• pp.200-206
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• 2021

Fraud in e-commerce transaction increased in the last decade especially with the increasing number of online stores and the lockdown that forced more people to pay for services and groceries online using their credit card. Several machine learning methods were proposed to detect fraudulent transaction. Neural networks showed promising results, but it has some few drawbacks that can be overcome using optimization methods. There are two categories of learning optimization methods, first-order methods which utilizes gradient information to construct the next training iteration whereas, and second-order methods which derivatives use Hessian to calculate the iteration based on the optimization trajectory. There also some training refinements procedures that aims to potentially enhance the original accuracy while possibly reduce the model size. This paper investigate the performance of several NN models in detecting fraud in e-commerce transaction. The backpropagation model which is classified as first learning algorithm achieved the best accuracy 96% among all the models.

• International Journal of Computer Science & Network Security
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• 제21권11호
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• pp.321-327
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• 2021

Mobile devices have recently developed to be an integral part of humans' daily lives because they meet business and personal needs. It is challenging to design a feasible and effective user authentication method for mobile devices because security issues and data privacy threats have significantly increased. Biometric approaches are more effective than traditional authentication methods. Therefore, this paper aims to analyze the existing biometric user authentication methods on mobile platforms, particularly those that use face recognition, to demonstrate the methods' feasibility and challenges. Next, this paper evaluates the methods according to seven characteristics: universality, uniqueness, permanence, collectability, performance, acceptability, and circumvention. Last, this paper suggests that solely using the method of biometric authentication is not enough to identify whether users are authentic based on biometric traits.

• Journal of Yeungnam Medical Science
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• 제39권2호
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• pp.89-97
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• 2022

More than 2 years after the explosion of the coronavirus disease 2019 (COVID-19) pandemic, extensive efforts have been made to develop safe and efficacious vaccines against infections with severe acute respiratory syndrome coronavirus 2. The pandemic has opened a new era of vaccine development based on next-generation platforms, including messenger RNA (mRNA)-based technologies, and paved the way for the future of mRNA-based therapeutics to provide protection against a wide range of infectious diseases. Multiple vaccines have been developed at an unprecedented pace to protect against COVID-19 worldwide. However, important knowledge gaps remain to be addressed, especially in terms of how vaccines induce immunogenicity and efficacy in those who are elderly. Here, we discuss the various vaccine platforms that have been utilized to combat COVID-19 and emphasize how these platforms can be a powerful tool to react quickly to future pandemics.

• Journal of information and communication convergence engineering
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• 제21권1호
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• pp.1-8
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• 2023

This paper presents a design method for a wideband bandpass filter (BPF) which compensates for frequency dependency based on the image admittance and image phase. In the proposed method, new compensation methods for the admittance and phase are integrated with the conventional method. The proposed method improves the frequency shift and reduces the unwanted bandwidth when designing more than 20% of the Fractional Bandwidth (FBW), whereas the conventional method exhibits frequency degradation at only 10% FBW. The proposed design theory was verified by applying it to both lumped elements and distributed lines through circuit simulation and measurements without an optimization process. The measurement results demonstrate improvements in the frequency shift and target bandwidth. In the future, an accurate design method based on frequency dependence can be implemented for the next-generation broadband communication system applications.

• 한국가시화정보학회지
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• 제21권3호
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• pp.33-38
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• 2023

Spray cooling is a method of cooling high-temperature heating elements by spraying droplets. Recently, spray cooling has been proposed for use in next-generation nuclear reactors. When droplets are sprayed onto the outer wall of a heat exchanger tube, a film boiling occurs on the outer wall. Over time, the outer wall temperature decreases, and a liquid film forms on the outer wall, and the heat exchanger outer wall is subsequently cooled by the liquid film. In this case, the liquid film thickness has a great influence on the heat removal performance. In this study, an experimental study was conducted to measure the liquid film thickness distribution in a droplet spray environment. For this purpose, a method using the electrical conductivity of the liquid was adopted.

• IMMUNE NETWORK
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• 제21권1호
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• pp.6.1-6.11
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• 2021

Adenovirus was originally used as a vector for gene therapy. In recent years, with the development of the next-generation vectors with increased safety and high immunogenicity to transgene products, its utility as a vaccine vector has continued to increase. Adenovirus-based vaccines are currently being tested not only to prevent various infectious diseases but also to be applied as cancer vaccines. In this review, I discuss the innate and adaptive aspects of the immunological characteristics of adenovirus vectors and further examine the current status of advanced adenovirus-based vaccine development. Various methods that can overcome the limitations of currently used adenoviruses as vaccine vehicles are also discussed. Through this study, I hope that vaccine development using adenovirus vectors will be expedited and more successful.

• 정보관리학회지
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• 제21권1호
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• pp.187-207
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• 2004

최근에 이르러 차세대 웹 아키텍처인 시멘틱 웹에 관한 연구에 대한 관심이 증대되고 있다. 정보학적인 관점에서, 차세대 웹 아키텍처인 시멘틱 웹은 하나의 거대한 메타데이터 조직으로 볼 수 있다 시멘틱 웹을 거대한 메타데이터 조직으로 볼 수 있는 가장 큰 이유는, 시멘틱 웹을 구축 과정에서 가장 중요한 단계 중 하나가 웹 정보자원에 대한 정형화된 메타데이터를 작성하는 것이기 때문이며, 이용자는 메타데이터를 이용하여 보다 쉽게 자신이 원하는 정보를 찾을 수 있다. 본 논문에서는, 시멘틱 웹 환경 하에서 서로 다른 정보체계구조를 지닌 개방형 전자도서관간의 상호 운영성을 제공하기 위하여 새로운 방식의 응용프로화일 메타데이터구조를 개발하였다. 새로운 방식의 응용프로화일 메타데이터구조를 토대로, 개방형도서관모델에서 서로 다른 형태의 대규모메타데이터를 통합하기 위한 통합메타데이터 자동생성 및 통합검색 알고리즘을 개발하였다.