2,784 research outputs found
Are you a “viral star”? Conceptualizing and modeling inter-media virality
No full textThe spread of social media has meant that user-generated content (UGC) has become an important form of communication. Most of the previous research in social media has concentrated on analyzing message virality, or the causes of why certain messages go viral. We posit that accounting for media virality, a phenomenon where messages are transferred beyond the original media they were carried in, has become imperative. In this article, we argue that media virality is a function of product characteristics and propose a framework for capturing this type of virality using just two dimensions, the inter-media elasticity and inter-media duration, together referred to as an entity’s inter-media reactivity (IMR). We illustrate the application of our concept using data on movie stars across several media. We calculate the IMR for each star and demonstrate how media virality differs across each; we also analyze the star-specific characteristics that drive media virality. Subsequently, we use the IMR of individual stars as a predictive variable to forecast the performance of their movies. Our research thus provides a theoretical contribution to the literature by exploring media virality while also providing several managerially relevant substantive insights about the motion picture industry
Reading: Amit Majmudar
No full textBecause of COVID-19 this event is canceled.
Amit Majmudar, a multi-genre author and translator, offers a Sacred Arts Festival reading that explores the concept of Building Bridges.
Co-sponsored by the Department of English and the Sacred Arts Festival
A Consensus Q-Learning Approach for Decentralized Control of Shared Energy Storage
No full textIn this letter, we study the say decentralized scheduling of an energy storage system say shared among residential households. In particular, we consider the households as learning agents and model their interaction as a Markov Game. To address the challenges associated with the non-stationary nature of the multi-agent learning, we propose a consensus-based Tabular learning method. Additionally, we provide simulation studies utilizing a real-world household dataset and demonstrate the effectiveness of our approach
sj-docx-1-pie-10.1177_09544089221112071 - Supplemental material for Empirical modeling and optimization of kerf characteristics in Nd-YAG laser cutting of Al 6061-T6 sheet
No full textSupplemental material, sj-docx-1-pie-10.1177_09544089221112071 for Empirical modeling and optimization of kerf characteristics in Nd-YAG laser cutting of Al 6061-T6 sheet by Amit Sharma, Priyanka Joshi and Kuldeep K Saxena in Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering</p
sj-pdf-1-jit-10.1177_15280837221090663 – Supplemental Material for A detailed investigation of N95 respirator sterilization with dry heat, hydrogen peroxide, and ionizing radiation
No full textSupplemental Material, sj-pdf-1-jit-10.1177_15280837221090663 for A detailed investigation of N95 respirator sterilization with dry heat, hydrogen peroxide, and ionizing radiation by Amit Kumar, Shailesh Joshi, Subramanian Venkatesan and Venkatraman Balasubramanian in Journal of Industrial Textiles</p
Exploring young students creativity: The effect of model eliciting activities
Get PDFThe aim of this paper is to show how engaging students in real-life mathematical situations can stimulate their mathematical creative thinking. We analyzed the mathematical modeling of two girls, aged 10 and 13 years, as they worked on an authentic task involving the selection of a track team. The girls displayed several modeling cycles that revealed their thinking processes, as well as cognitive and affective features that may serve as the foundation for a methodology that uses model-eliciting activities to promote the mathematical creative process
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Proceedings of sixth international congress on information and communication technology
No full textA Periodicity Based Approach for Optimal Sizing of Grid-Connected Household PV-BESS System
No full textThis paper presents an optimal sizing for residential household solar photovoltaic (PV) and battery energy storage systems (BESS) connected to the grid. The objective is to maximize solar energy self-consumption and the utilization of battery energy storage and to minimize electricity bills subsequently. An optimal sizing problem is developed, where electricity price, solar irradiation, PV and BESS's capital costs, their net present value (NPV), and BESS's efficiency are taken into account. Typical weeks for four different seasons of each year are used to reduce simulation run time on a longer planning horizon (typically 20 years). Six different methods are used to obtain periodic signals for solar generation and load demand, which are L1 norm, L2 norm, average, weighted least square (WLS), WLS + L1 regularization, and bound average. The simulation study is performed using four different actual household demand datasets. It shows that the L1 norm method gives the best results among all these methods. From the simulation results, this study concluded that it is economically beneficial for households to install PV and BESS
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