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Park, Taehwan,Seo, Hwajeong,Kim, Junsub,Park, Haeryong,Kim, Howon Hindawi Limited 2018 Security and communication networks Vol.2018 No.-
<P>Recently, various types of postquantum cryptography algorithms have been proposed for the National Institute of Standards and Technology’s Postquantum Cryptography Standardization competition. Lattice-based cryptography, which is based on Learning with Errors, is based on matrix multiplication. A large-size matrix multiplication requires a long execution time for key generation, encryption, and decryption. In this paper, we propose an efficient parallel implementation of matrix multiplication and vector addition with matrix transpose using ARM NEON instructions on ARM Cortex-A platforms. The proposed method achieves performance enhancements of 36.93%, 6.95%, 32.92%, and 7.66%. The optimized method is applied to the Lizard. CCA key generation step enhances the performance by 7.04%, 3.66%, 7.57%, and 9.32% over previous state-of-the-art implementations.</P>
Park Taehwan,Im Jintaek,Kim A Reum,Lee Dongwook,Jeong Sungho,Yun Cheol-Heui,Han Seung Hyun 한국미생물학회 2021 The journal of microbiology Vol.59 No.12
Streptococcus gordonii, a Gram-positive commensal bacterium, is an opportunistic pathogen closely related to initiation and progression of various oral diseases, such as periodontitis and dental caries. Its biofilm formation is linked with the development of such diseases by enhanced resistance against antimicrobial treatment or host immunity. In the present study, we investigated the effect of short-chain fatty acids (SCFAs) on the biofilm formation of S. gordonii. SCFAs, including sodium acetate (NaA), sodium propionate (NaP), and sodium butyrate (NaB), showed an effective inhibitory activity on the biofilm formation of S. gordonii without reduction in bacterial growth. SCFAs suppressed S. gordonii biofilm formation at early time points whereas SCFAs did not affect its preformed biofilm. A quorum-sensing system mediated by competence-stimulating peptide (CSP) is known to regulate biofilm formation of streptococci. Interestingly, SCFAs substantially decreased mRNA expression of comD and comE, which are CSP-sensor and its response regulator responsible for CSP pathway, respectively. Although S. gordonii biofilm formation was enhanced by exogenous synthetic CSP treatment, such effect was not observed in the presence of SCFAs. Collectively, these results suggest that SCFAs have an anti-biofilm activity on S. gordonii through inhibiting comD and comE expression which results in negative regulation of CSP quorum-sensing system. SCFAs could be an effective anti-biofilm agent against S. gordonii for the prevention of oral diseases.
Propionate Attenuates Growth of Oral Streptococci through Enhancing Methionine Biosynthesis
( Taehwan Park ),( Jintaek Im ),( A Reum Kim ),( Dongwook Lee ),( Sungho Jeong ),( Cheol-heui Yun ),( Seung Hyun Han ) 한국미생물생명공학회 2022 Journal of microbiology and biotechnology Vol.32 No.10
Oral streptococci are considered as an opportunistic pathogen associated with initiation and progression of various oral diseases. However, since the currently-available treatments often accompany adverse effects, alternative strategy is demanded to control streptococci. In the current study, we investigated whether short-chain fatty acids (SCFAs), including sodium acetate (NaA), sodium propionate (NaP), and sodium butyrate (NaB), can inhibit the growth of oral streptococci. Among the tested SCFAs, NaP most potently inhibited the growth of laboratory and clinically isolated strains of Streptococcus gordonii under anaerobic culture conditions. However, the growth inhibitory effect of NaP on six different species of other oral streptococci was different depending on their culture conditions. Metabolic changes such as alteration of methionine biosynthesis can affect bacterial growth. Indeed, NaP enhanced intracellular methionine levels of oral streptococci as well as the mRNA expression level of methionine biosynthesis-related genes. Collectively, these results suggest that NaP has an inhibitory effect on the growth of oral streptococci, which might be due to alteration of methionine biosynthesis. Thus, NaP can be used an effective bacteriostatic agent for the prevention of oral infectious diseases caused by oral streptococci.
Some Observations for Portfolio Management Applications of Modern Machine Learning Methods
Park, Jooyoung,Heo, Seongman,Kim, Taehwan,Park, Jeongho,Kim, Jaein,Park, Kyungwook Korean Institute of Intelligent Systems 2016 INTERNATIONAL JOURNAL of FUZZY LOGIC and INTELLIGE Vol.16 No.1
Recently, artificial intelligence has reached the level of top information technologies that will have significant influence over many aspects of our future lifestyles. In particular, in the fields of machine learning technologies for classification and decision-making, there have been a lot of research efforts for solving estimation and control problems that appear in the various kinds of portfolio management problems via data-driven approaches. Note that these modern data-driven approaches, which try to find solutions to the problems based on relevant empirical data rather than mathematical analyses, are useful particularly in practical application domains. In this paper, we consider some applications of modern data-driven machine learning methods for portfolio management problems. More precisely, we apply a simplified version of the sparse Gaussian process (GP) classification method for classifying users' sensitivity with respect to financial risk, and then present two portfolio management issues in which the GP application results can be useful. Experimental results show that the GP applications work well in handling simulated data sets.
Secure Message Transmission against Remote Control System
Park, Taehwan,Seo, Hwajeong,Bae, Bongjin,Kim, Howon The Korea Institute of Information and Commucation 2016 Journal of information and communication convergen Vol.14 No.4
A remote control system (RCS) can monitor a user's confidential information by using the broadcast receivers in Android OS. However, the current RCS detection methods are based only on a virus vaccine. Therefore, if the user's smartphone is infected by a brand new RCS, these methods cannot detect this new RCS immediately. In this paper, we present a secure message transmission medium. This medium is completely isolated from networks and can communicate securely through a QR code channel by using symmetric key cryptography such as the AES block cipher and public key cryptography such as elliptic curve cryptography for providing security. Therefore, the RCS cannot detect any confidential information. This approach is completely immune to any RCS attacks. Furthermore, we present a secure QR code-based key exchange protocol by using the elliptic curve Diffie-Hellman method and message transmission protocols; the proposed protocol has high usability and is very secure.
Efficient Implementation of Simeck Family Block Cipher on 8-Bit Processor
Park, Taehwan,Seo, Hwajeong,Bae, Bongjin,Kim, Howon The Korea Institute of Information and Commucation 2016 Journal of information and communication convergen Vol.14 No.3
A lot of Internet of Things devices has resource-restricted environment, so it is difficult to implement the existing block ciphers such as AES, PRESENT. By this reason, there are lightweight block ciphers, such as SIMON, SPECK, and Simeck, support various block/key sizes. These lightweight block ciphers can support the security on the IoT devices. In this paper, we propose efficient implementation methods and performance results for the Simeck family block cipher proposed in CHES 2015 on an 8-bit ATmega128-based STK600 board. The proposed methods can be adapted in the 8-bit microprocessor environment such as Arduino series which are one of famous devices for IoT application. The optimized on-the-fly (OTF) speed is on average 14.42 times faster and the optimized OTF memory is 1.53 times smaller than those obtained in the previous research. The speed-optimized encryption and the memory-optimized encryption are on average 12.98 times faster and 1.3 times smaller than those obtained in the previous studies, respectively.
Secure Data Encryption for Cloud-Based Human Care Services
Park, Taehwan,Seo, Hwajeong,Lee, Sokjoon,Kim, Howon Hindawi Limited 2018 Journal of sensors Vol.2018 No.-
<P>Sensor network services utilize sensor data from low-end IoT devices of the types widely deployed over long distances. After the collection of sensor data, the data is delivered to the cloud server, which processes it to extract useful information. Given that the data may contain sensitive and private information, it should be encrypted and exchanged through the network to ensure integrity and confidentiality. Under these circumstances, a cloud server should provide high-speed data encryption without a loss of availability. In this paper, we propose efficient parallel implementations of Simeck family block ciphers on modern 64-bit Intel processors. In order to accelerate the performance, an adaptive encryption technique is also exploited for load balancing of the resulting big data. Finally, the proposed implementations achieved 3.5 cycles/byte and 4.6 cycles/byte for Simeck32/64 and Simeck64/128 encryption, respectively.</P>
Guidelines for Manufacturing and Application of Organoids: Brain
Taehwan Kwak,Si-Hyung Park,Siyoung Lee,Yujeong Shin,Ki-Jun Yoon,Seung-Woo Cho,Jong-Chan Park,Seung-Ho Yang,Heeyeong Cho,Heh-In Im,Sun-Ju Ahn,Woong Sun,Ji Hun Yang Korean Society for Stem Cell Research 2024 International journal of stem cells Vol.17 No.2
This study offers a comprehensive overview of brain organoids for researchers. It combines expert opinions with technical summaries on organoid definitions, characteristics, culture methods, and quality control. This approach aims to enhance the utilization of brain organoids in research. Brain organoids, as three-dimensional human cell models mimicking the nervous system, hold immense promise for studying the human brain. They offer advantages over traditional methods, replicating anatomical structures, physiological features, and complex neuronal networks. Additionally, brain organoids can model nervous system development and interactions between cell types and the microenvironment. By providing a foundation for utilizing the most human-relevant tissue models, this work empowers researchers to overcome limitations of two-dimensional cultures and conduct advanced disease modeling research.
수치모의를 활용한 한반도에서의 해저지형효과에 의한 지진해일 영향 분석
조태환(TaeHwan Jo),유설한(Seol-Han You),박종숙(Jong Suk Park),조창범(Changbeom Cho),박순천(Sun-Cheon Park) 대한지질학회 2021 대한지질학회 학술대회 Vol.2021 No.10
지진해일(tsunami)은 해저에서 발생한 지진, 해저 화산 폭발 및 해저 사태와 같은 급격한 지각의 변동에 의해 발생하는 긴 파장의 천해파이다. 이러한 천해파는 수심이 깊은 대양에서 빠른 속도로 전파되기 시작하여 수심이 얕고 전파속도가 느려지는 연안에 도달하게 된다. 이후 긴 파장의 지진해일은 느려진 속도로 인해 높은 파고로 전환되며 내륙에 큰 피해를 입힐 수 있다. 이러한 지진해일에 의한 피해를 줄이기 위해 해역지진이 발생하게 되면 기상청은 지진해일 수치모의를 통해 예측 도달시간 및 예측 지진해일고를 계산하여 정보를 발표하며, 예측 지진해일고에 따라 지진해일 주의보 및 경보를 발표하게 된다. 2011년 3월 11일 동일본 대지진(규모 9.1)에 의한 지진해일 발생 당시 기존의 수치모의로 예측한 지진해일 도달시각보다 이른 시점에 동해 주요 관측지점에서 단주기의 작은 해수면 변화인 선행파(tsunami forerunner)가 관측되었다. 일본 및 러시아에서 관측된 선행파가 해저지형효과(Bathymetry Effect)와 관련이 있다는 기존 연구(Murotani et al ., 2015)를 토대로 본 연구에서는 다양한 사례의 지진해일 수치모의를 통해 해저지형효과 고려 여부에 따른 한반도에서의 지진해일 영향에 대하여 분석하였다.