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PATH AVERAGED OPTION VALUE CRITERIA FOR SELECTING BETTER OPTIONS
JUNSEOK KIM,MINHYUN YOO,HYEJU SON,SEUNGGYU LEE,MYEONG-HYEON KIM,YONGHO CHOI,DARAE JEONG,YOUNG ROCK KIM 한국산업응용수학회 2016 Journal of the Korean Society for Industrial and A Vol.20 No.2
In this paper, we propose an optimal choice scheme to determine the best option among comparable options whose current expectations are all the same under the condition that an investor has a confidence in the future value realization of underlying assets. For this purpose, we use a path-averaged option as our base instrument in which we calculate the time discounted value along the path and divide it by the number of time steps for a given expected path. First, we consider three European call options such as vanilla, cash-or-nothing, and asset-or-nothing as our comparable set of choice schemes. Next, we perform the experiments using historical data to prove the usefulness of our proposed scheme. The test suggests that the path-averaged option value is a good guideline to choose an optimal option.
van der Waals gap-inserted light-emitting p–n heterojunction of ZnO nanorods/graphene/p-GaN film
Sung Ho Moon,Junseok Jeong,Gwan Woo Kim,Dae Kwon Jin,Yong-Jin Kim,Jong Kyu Kim,Keun Soo Kim,Gunn Kim,Young Joon Hong 한국물리학회 2020 Current Applied Physics Vol.20 No.2
We report on the electroluminescent (EL) and electrical characteristics of graphene-inserted ZnO nanorods (NRs)/p-GaN heterojunction diode. In a comparative study, ZnO NRs/p-GaN and ZnO NRs/graphene/p-GaN heterojunctions exhibit white and yellow EL emissions, respectively, at reverse bias (rb) voltages. The different EL colors are results of different dichromatic EL peak intensity ratios between 2.25 and 2.8 eV light emissions which are originated from ZnO and p-GaN sides, respectively. The 2.25 eV EL is predominant in both the heterojunctions, because of recombination by numerous electrons tunneled from p-GaN to ZnO across the thin barriers of the staggered broken gap with a large band offset in ZnO/p-GaN and the van der Waals (vdW) gap formed by graphene insertion at ZnO NRs/p-GaN. However, as for the 2.8 eV EL intensity, ZnO NRs/graphene/p- GaN hardly shows the EL emission, whereas ZnO NRs/p-GaN exhibits the substantially strong EL peak. We discuss that the significantly reduced 2.8 eV EL emission of ZnO NRs/graphene/p-GaN is a result of decreased depletion layer thickness at p-GaN side where the recombination events occur for 2.8 eV EL before the reverse bias-driven tunneling because the insertion of graphene (or vdW gap barrier) inhibits the carrier diffusion whose amount determines the depletion thickness when forming the heterojunctions. This study opens a way of suppressing (or enhancing) the specific EL wavelength for the dichromatic EL-emitting heterojunctions simply by inserting atom-thick vdW layer.
Hyeon Ju JEONG,Eun-Jung KIM,Jung Yun KIM,Seok Won HAM,Sang-Hun CHOI,Nayoung HONG,Min Gi PARK,Junseok JANG,Sunyoung SEO,Sung-Ok KIM,Sung-Chan KIM,Hyunggee KIM 한국생물공학회 2021 한국생물공학회 학술대회 Vol.2021 No.10
The Jagged-1 (JAG1) is a Notch ligand that contact-dependently activates Notch receptors and regulates cancer progression. When Notch receptor activate, NOTCH intracellular domain (NICD) is released through proteolytic cleavage and forms transcription complex. Here, we show that JAG1 also releases JAG1 intracellular domain (JICD1) and JICD1 forms a transcription complex with DEAD-Box Helicase 17, SMAD Family Member 3, and TGFB induced factor homeobox 2. The JICD1 transcription complex binds to the promoter of Sex determining region Y-box 2 (SOX2) and regulates transcription of SOX2. JICD1 promotes acquisition of glioblastoma (GBM) stem cell properties by JICD1 transcription complex mediated SOX2 expression. JAG1 is highly expressed in GBM and induce reverse signal via JICD1 transcription complex. By regulating transcription of SOX2, JICD1 transcription complex is an important player in the maintenance of GBM properties. The inhibition of JICD1 transcription complex may be a novel strategy to target Notch signal.
Interference-Aware Energy-Efficient Geographical Routing for IEEE 802.15.4a Networks
KIM, Junseok,KWON, Younggoo The Institute of Electronics, Information and Comm 2010 IEICE TRANSACTIONS ON COMMUNICATIONS - Vol.93 No.4
<P>The IEEE 802.15.4a standard enables geographical routing in ZigBee networks but previous geographical routing algorithms can suffer high packet loss due to the interference effects. This letter proposes an interference-aware energy-efficient geographical routing algorithm for the IEEE 802.15.4a networks. The proposed algorithm estimates the energy cost by considering the interference effects and forwards a packet to the neighbor with the lowest energy cost to advance. Experimental results show that the proposed algorithm outperforms the previous algorithms in terms of the delivery ratio and the energy consumption.</P>
A new conservative vector-valued Allen–Cahn equation and its fast numerical method
Kim, Junseok,Lee, Hyun Geun Elsevier 2017 Computer physics communications Vol.221 No.-
<P><B>Abstract</B></P> <P>The scalar Allen–Cahn (AC) equation does not conserve the total mass, and its conservative forms have been studied analytically and numerically. Compared to the conservative scalar AC equations, a conservative form of the vector-valued AC equation is less studied. In this study, we introduce a new conservative vector-valued AC equation that conserves total mass and keeps the bulk phase values (away from the interfacial transition region) close to local minima. To solve the equation, we propose a fast numerical method that is based on the operator splitting method. In the proposed method, we split the equation into three subequations, and each subequation is solved in a component-wise manner. As a result, the conservative vector-valued AC equation is solved quickly, and the average CPU time is nearly linear with respect to the number of components. Numerical experiments with three and more components are presented to demonstrate the usefulness of the proposed method.</P>
Deep Reinforcement Learning for Traffic Signal Control Considering Adjacent Intersection States
Junseok Kim,Hwasoo Yeo 대한교통학회 2022 대한교통학회 학술대회지 Vol.87 No.-
Recently, various studies have been conducted on reinforcement learning for traffic signal control. However, these studies have a limited environment and didnt consider the perspective of drivers. It will be possible to operate a coordinated signal for the drivers predictability and a cycle with a realistic minimum green time. In this study, to achieve these two objectives, we studied whether the coordinated signal situation can be learned considering the state of the adjacent intersection. Reinforcement learning is used for optimization, the state of adjacent intersections was reflected and an appropriate reward was found. In addition, more methodologies for coordination and actual road network data will be applied. It is expected that future research can be expanded to a multi-intersection environment and intersections between coordinated arteries to progress vehicles.
A HYBRID METHOD FOR HIGHER-ORDER NONLINEAR DIFFUSION EQUATIONS
KIM JUNSEOK,SUR JEANMAN Korean Mathematical Society 2005 대한수학회논문집 Vol.20 No.1
We present results of fully nonlinear time-dependent simulations of a thin liquid film flowing up an inclined plane. Equations of the type $h_t+f_y(h) = -{\in}^3{\nabla}{\cdot}(M(h){\nabla}{\triangle}h)$ arise in the context of thin liquid films driven by a thermal gradient with a counteracting gravitational force, where h = h(x, t) is the fluid film height. A hybrid scheme is constructed for the solution of two-dimensional higher-order nonlinear diffusion equations. Problems in the fluid dynamics of thin films are solved to demonstrate the accuracy and effectiveness of the hybrid scheme.