Sungho Park

Abstract To influence demand, some online retailers post messages (e.g., “5 units or less left in stock”) on their product pages to signal impending stockouts. These “scarcity” messages provide consumers “partial” inventory information, revealing only an upper bound on the number of units available for sale. To examine the impact of these messages, we obtained price and sales data from an online‐retailer website across a sample of durable goods before and after the retailer posted the messages o

Microgrids have the potential to withstand the power outages due to their ability of islanding and potential to sustain the penetration of renewables. Increased penetration of renewables can be beneficial but it may result in curtailment of renewables during peak generation intervals due to the limited availability of storage capacity while shedding loads during peak load intervals. This problem can be solved by adjusting the load profiles, i.e., demand response (DR) programs. In contrast to the

The authors propose a simulated maximum likelihood estimation method for the random coefficient logit model using aggregate data, accounting for heterogeneity and endogeneity. The method allows for two sources of randomness in observed market shares: unobserved product characteristics and sampling error. Because of the latter, the method is suitable when sample sizes underlying the shares are finite. In contrast, Berry, Levinsohn and Pakes's commonly used approach assumes that observed shares ha

The photosensitivity of an amorphous oxide semiconductor thin film transistor (TFT) with an In-Zn-O (IZO) layer as the active channel passivated with SiO2 is investigated. Under illumination, the photocurrent (IPhoto) in the off regime is greatly increased rather than displaying a negative shift of the threshold voltage. In this way, the photosensitivity (IPhoto/IDark) can be maximized by adjusting a reading bias to be placed in the off regime. Furthermore, the photosensitivity is significantly

We propose a selective 1-bit soft erase scheme in vertical NAND (V-NAND) flash memory that improves retention characteristics. Selective 1-bit erase using gate-induced drain leakage (GIDL) is applied after program operation to remove shallowly trapped electrons. Compared to conventional methods, the proposed method improves retention characteristics by ~40% and the distribution of $\Delta V_{\text {th}}$ is narrowed to less than 30%. The proposed $V_{\text {th}}$ tuning scheme accurately adjusts

In order to improve the reliability of vertical NAND (V-NAND) flash memory cells, a scheme using adaptive incremental step pulse programming (A-ISPP) and incremental step pulse erasing (ISPE) is proposed. Incremental step pulse programming (ISPP) with adaptive step voltage is used to precisely adjust <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">${V}_{\text {th}}$ </tex-math></inline-formula> to a low target

Neuromorphic vision algorithms are biologically-inspired computational models of the primate visual pathway. They promise robustness, high accuracy, and high energy efficiency in advanced image processing applications. Despite these potential benefits, the realization of neuromorphic algorithms typically exhibit low performance even when executed on multi-core CPU and GPU platforms. This is due to the disparity in the computational modalities prominent in these algorithms and those modalities mo

Mobile devices have evolved as a major channel for online video consumption. With the growth of online video platforms, various ad formats have been experimented to increase advertising effectiveness. One such attempt is pre-roll skippable ads that allow users to skip an ad after watching it for a few seconds. Despite pre-roll ads providing better user experience, their high skipping rate is alarming to advertisers and brands. Recent studies revealed what factors influence pre-roll ad acceptance

Various research and development activities are being conducted to use hydrogen, an environmentally friendly fuel, to achieve carbon neutrality. Using natural gas–hydrogen blends has advantages such as the usage of traditional combined cycle power plant (CCPP) technology and existing natural gas piping infrastructure. Therefore, we conducted CCPP process modeling and economic analysis based on natural gas–hydrogen blends. For process analysis, we developed a process model for a 400 MW natural ga