• Journal of the Korea Convergence Society
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• v.12 no.11
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• pp.193-206
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• 2021

Artificial Intelligence (AI) has been inserted into people's lives through Intelligent Virtual Assistants (IVA), like Alexa. Moreover, intelligent systems have expanded to design studios. This research delves into designers' perspectives on developing AI-based practices and examines the challenges of adopting future intelligent design assistants. We surveyed UX/UI professionals in Brazil to understand how they use IVAs and AI design tools. We also explored a scenario featuring the use of Alexa Sensei, a hypothetical voice-controlled AI-based design assistant mixing Alexa and Adobe Sensei characteristics. The findings indicate respondents have had limited opportunities to work with AI, but they expect intelligent systems to improve the efficiency of the design process. Further, majority of the respondents predicted that they would be able to collaborate creatively with AI design systems. Although designers anticipated challenges in natural language interaction, those who already adopted IVAs were less resistant to the idea of working with Alexa Sensei as an AI design assistant.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2017.10a
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• pp.96-97
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• 2017

When a new student, a guest, or a student who first visited a school wants to know information about the school, he / she searches through a smartphone or a tablet. However, if you visit the homepage of the school, you do not know exactly where the information you want to find is located, and you spend a lot of time. In this paper, we develop a school guidance system using Alexa with speech recognition function. Divide the school guidance system into college introduction, major, college activities, and entrance information topics, and fill in the details by topic. In the lambda function of Amazon Web Services, we use Node.js to create information on topics and provide information to users by voice.

• Applied Chemistry for Engineering
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• v.34 no.1
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• pp.45-50
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• 2023

Microfluidic preconcentration technologies, which collect or extract low-abundance analytes in a specific location, have been spotlighted in various applications such as medical and bio-engineering. Here, we conducted extensive studies on the variables to be considered when concentrating target samples based on electrophoresis in an electromembrane system utilizing an ion exchange membrane. Using negatively charged Alexa Fluor 488 and positively charged Rhodamine 6G as fluorescent dyes, we examined the effects of flow velocity of the main channel, channel electrolyte concentration, and applied voltage on sample preconcentration. As a result, it was found that the preconcentration of the target sample occurs much better when the flow velocity is slow and the concentration of the main channel containing the sample is high, given that the channel concentration ratio (main and buffer) is constant. In addition, based on the experimental data acquired in this study, the electrophoretic mobility values of Alexa Fluor 488 and Rhodamine 6G were experimentally calculated and compared.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.21 no.11
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• pp.2061-2066
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• 2017

The voice recognition technology is to recognize the voice of an user and execute the command. Recently, the voice recognition is evolving to the artificial intelligence voice recognition by adding the scheme of the natural language processing. The AI voice recognition is exploited to control the IoT devices or provide the information, such as the news or the wether. The University Information which is one of fields serviced by the information provider is mainly presented on the web. However, since too much information are presented on the web, it is difficult for an user to find efficiently the specific information which the user want to know. In this paper, we design and implement the university guidance system to recognize the user voice searching the information and provide the result using the voice. To do this, we classify the university data and design the lambda function to provide the data.

• Korean Journal of Optics and Photonics
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• v.23 no.3
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• pp.113-118
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• 2012

The concentration and hydrodynamic radius of nano-sized fluorescence particles diffusing in solution were compared by using fluorescence correlation spectroscopy (FCS), which can measure the variation of the correlation function of a fluorescence signal by size and number of particles. The used nano-sized fluorescence particles are Alex Fluor 647, quantum dots, and fluorescence beads, and three kinds of sample solutions with different concentrations were prepared by dilution to 1/10 and 1/100 with distilled water for each kind of particles. The effective focal volumes were calculated by using the known diffusion coefficient of Alexa Fluor 647 particles, and the diffusion time, number of particles in focal volume, and variation of concentration according to the dilution could be measured by the FCS system. Through this study, we determined that the concentrations of arbitrarily diluted sample solutions can be measured by a home-built FCS setup in the range of 0.1 nM ~ 10 nM and that the diffusion coefficient of the quantum dot was $27{\pm}1{\mu}m^2/s$.

• Korean Journal of Optics and Photonics
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• v.24 no.2
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• pp.71-76
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• 2013

Using fluorescence correlation spectroscopy, we analyzed the change of effective focal volume of a confocal system with light intensity. The fluorescence correlation spectroscopy system was home-built in accordance with the He-Ne laser with a wavelength of 632.8 nm, and two kinds of samples (AlexaFluor657 and Quantum dot655) suitable for the wavelength of the laser beam were used. For each sample, we analyzed and compared the correlation functions obtained while changing the intensity of the light source in a range of 1~50 ${\mu}W$. The result shows that the radius of the focal area increases linearly through the increase of particle number and diffusion time in response to an intensity change in weak light below 10 ${\mu}W$. In the higher intensity region (>10~15 ${\mu}W$), the increasing rate of particle number and diffusion time keep increasing but at a much slower rate. Through this result, it was also found that the radius increasing rate of the focal area was reduced however, the radius still increased slightly.

• Journal of Microbiology and Biotechnology
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• v.22 no.2
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• pp.226-229
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• 2012

Bacterial hemoglobin from Vitreoscilla (VHb) is recognized as a good fusion protein for the soluble expression of foreign protein. In this study, we generated a monoclonal antibody (MAb) against VHb for its detection. For the rapid screening of MAb, a protein chip technology based on the Alexa-488 (A488) dye labeling method was introduced. In order to fabricate the chip, the VHb protein was chemically coupled to the chip surface and then the culture supernatants of 84 hybridoma cell lines were spotted onto the VHb chip. The bound MAbs were measured by A488-modified anti-mouse IgG. A single spot (MAb A10) exhibited significantly high signal intensity. The immunoblot analysis evidenced that the MAb A10 can detect VHb-fused proteins with high specificity.

• Journal of the Optical Society of Korea
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• v.18 no.5
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• pp.551-557
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• 2014

In this study, we demonstrated multimodal nonlinear optical (NLO) microscopy integrated simultaneously with two-photon excitation fluorescence (TPEF), second-harmonic generation (SHG), and coherent anti-Stokes Raman scattering (CARS) in order to obtain targeted cellular and label-free images in an immunofluorescence assay of the atherosclerotic aorta from apolipoprotein E-deficient mice. The multimodal NLO microscope used two laser systems: picosecond (ps) and femtosecond (fs) pulsed lasers. A pair of ps-pulsed lights served for CARS (817 nm and 1064 nm) and SHG (817 nm) images; light from the fs-pulsed laser with the center wavelength of 720 nm was incident into the sample to obtain autofluorescence and targeted molecular TPEF images for high efficiency of fluorescence intensity without cross-talk. For multicolor-targeted TPEF imaging, we stained smooth-muscle cells and macrophages with fluorescent dyes (Alexa Fluor 350 and Alexa Fluor 594) for an immunofluorescence assay. Each depth-sectioned image consisted of $512{\times}512$ pixels with a field of view of $250{\times}250{\mu}m^2$, a lateral resolution of $0.4{\mu}m$, and an axial resolution of $1.3{\mu}m$. We obtained composite multicolor images with conventional label-free NLO images and targeted TPEF images in atherosclerotic-plaque samples. Multicolor 3-D imaging of atherosclerotic-plaque structural and functional composition will be helpful for understanding the pathogenesis of cardiovascular disease.

• Bulletin of the Korean Chemical Society
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• v.28 no.5
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• pp.783-790
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• 2007

The immobilization of proteins and their molecular interactions on various polymer-modified glass substrates [i.e. 3-aminopropyltriethoxysilane (APTS), 3-glycidoxypropyltrimethoxysilane (GPTS), poly (ethylene glycol) diacrylate (PEG-DA), chitosan (CHI), glutaraldehyde (GA), 3-(trichlorosilyl)propyl methacrylate (TPM), 3'-mercaptopropyltrimethoxysilane (MPTMS), glycidyl methacrylate (GMA) and poly-l-lysine (PL).] for potential applications in a nanoarray protein chip at the single-molecule level was evaluated using prismtype dual-color total internal reflection fluorescence microscopy (dual-color TIRFM). A dual-color TIRF microscope, which contained two individual laser beams and a single high-sensitivity camera, was used for the rapid and simultaneous dual-color detection of the interactions and colocalization of different proteins labeled with different fluorescent dyes such as Alexa Fluor® 488, Qdot® 525 and Alexa Fluor® 633. Most of the polymer-modified glass substrates showed good stability and a relative high signal-to-noise (S/N) ratio over a 40-day period after making the substrates. The GPTS/CHI/GA-modified glass substrate showed a 13.5-56.3% higher relative S/N ratio than the other substrates. 1% Top-Block in 10 mM phosphate buffered saline (pH 7.4) showed a 99.2% increase in the blocking effect of non-specific adsorption. These results show that dual-color TIRFM is a powerful methodology for detecting proteins at the single-molecule level with potential applications in nanoarray chips or nano-biosensors.

• 한국정보통신설비학회:학술대회논문집
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• 2009.08a
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• pp.268-271
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• 2009

In this paper, we analyze social network status and suggest TV SNS Service. According to alexa.com's recent chart, there are three SNS sites (facebook, myspace, twitter) in global top 20 sites. SNS usage has increased dramatically. Recently many SNS are growing up by opening their platform that make it easy to develope new services and functions by third party developers. KT is implementing open platform that is support Widget and SNS service. And Recently Social TV comes into the spotlight. Social TV is combination of social media and TV contents. It is enable to exchange emotion and opinion by communication with other people when watching Video contents. We propose TV SNS Service that provides various services by using advantage of SNS system and Social TV.