Rules of Distributary Engagement: Cultural Adaptation and Digital Enhancement of Hydro-ecological Decision-making in the Mekong Delta, Việt Nam

Focused on current initiatives for climate resilience, this paper explores a culturally adaptive approach to participatory planning in the Vietnamese Mekong Delta. It details key engagement components to accompany the use of Tangible Landscape, an interactive, data-driven modeling platform, in a series of workshops sponsored by the World Bank. Innovations like Tangible Landscape hold the potential to significantly increase stakeholders’ accessibility to scientific data and scenario models. To what extent do the specificity of place and culture determine the efficacy of these tools in democratizing decision-making? This paper delves into Việt Nam’s socioeconomic development through Mekong agriculture, as well as its history of colonization, disempowerment, war, and perseverance, as background to the complex identity, political climate and mounting environmental precarity of the delta. Hydro-ecological issues and interventions are framed in a human context, informed by research on art, visual communication, and media strategies utilized by government, citizen, and international groups. With an awareness that current power structures and foreign aid/intervention complicate citizens’ perception of security and self-determination, the goal of proposing a combined technological and arts-based approach to participatory planning is to maximize the inclusion of those whose lives are most closely tied to the changing environment

Impact of high level of renewable energy penetration on inter-area oscillation

Many research projects have been focused on the impacts of each type of wind turbines on the stability of the power system. Due to the rapid increase in the penetration level of renewable energy and diverse power generation portfolios, it is vital to study the performance of the power system in presence of different renewable sources of energy. The focus of this paper is to study the small signal stability of a power system with high penetration level of wind and geothermal energy. The models of three commercially available wind turbines are used to investigate inter-area mode oscillations of a power system with renewable generators located in remote areas. Moreover, the performance of the power system with HVDC and HVAC interconnections is demonstrated. Simulations are carried out on a test power system using PSS/E software

Non-Laboratory-Based Risk Factors for Automated Heart Disease Detection

© 2018 IEEE. Developing a heart disease detection model using simple non-laboratory risk factors plays an important role in preventive care, especially for high risk subjects. The model allows physicians/epidemiologists to effectively diagnose a person as having heart disease. In this work, we aim to develop a non-invasive risk prediction model for automated heart disease detection that involves age, gender, rest blood pressure, maximum heart rate, and rest electrocardiography. We examine four public datasets from 1071 participants who were referred for a special X-ray of the heart's arteries (i.e., to see if they are narrowed or blocked). The subjects also undertook a physical examination and three non-invasive tests. To estimate the heart disease status, we apply a generalized linear model with regularization paths via coordinate descent. Even without laboratory-based data (e.g., serum cholesterol, fasting blood sugar), we observed a prediction accuracy as high as 72%, compared with 76% of other comprehensive models. This observation suggests that few non-invasive factors utilizing recent advances in data analytics can replace the current practices of heart disease risk assessment

Stochastic modelling of the correlation between transformer loading and distributed energy resources in LV distribution networks

The rapid growth of distributed energy resources (DERs) poses operational challenges for the low-voltage (LV) distribution networks, such as overloading of the transformer and/or voltage violation. Many smart strategies based on flexibility and coordinated control of DER have been developed to address these issues. To facilitate this implementation, this study presents a stochastic modelling technique, based on the Monte Carlo approach, to analyse the correlation between transformer loading and voltage magnitudes measured at the point of connection (POC) of DER in the network. A case study has been performed using IEEE European LV test feeder and smart meter measurement from the Netherlands to reflect the realistic aspects of operational conditions. Advanced statistical modelling techniques are applied to generate a set of scenarios, consisting of solar irradiation, and electric vehicle charging and load consumption profiles. Simulation results reveal a strong linear relationship between transformer loading and voltage magnitudes at the POC of DERs. Thus, these findings can aid in implementing flexibility and coordinated control DERs for congestion management in the LV distribution network.</p

Stochastic modelling of the correlation between transformer loading and distributed energy resources in LV distribution networks

The rapid growth of distributed energy resources (DERs) poses operational challenges for the low-voltage (LV) distribution networks, such as overloading of the transformer and/or voltage violation. Many smart strategies based on flexibility and coordinated control of DER have been developed to address these issues. To facilitate this implementation, this study presents a stochastic modelling technique, based on the Monte Carlo approach, to analyse the correlation between transformer loading and voltage magnitudes measured at the point of connection (POC) of DER in the network. A case study has been performed using IEEE European LV test feeder and smart meter measurement from the Netherlands to reflect the realistic aspects of operational conditions. Advanced statistical modelling techniques are applied to generate a set of scenarios, consisting of solar irradiation, and electric vehicle charging and load consumption profiles. Simulation results reveal a strong linear relationship between transformer loading and voltage magnitudes at the POC of DERs. Thus, these findings can aid in implementing flexibility and coordinated control DERs for congestion management in the LV distribution network.</p

Time-efficient simulation of free-space optical communication systems under atmospheric turbulence, pointing error, and angle-of-arrival fluctuations

YesComputer simulation is a powerful and convenient tool for the design and performance evaluation of free-space optical (FSO) communication systems. In this article, we present two simulation frameworks that incorporate not only the effects of atmospheric turbulence but also the impact of the angular fluctuations of the transmitter and receiver in FSO systems. In the first framework, the waveform of the optical signal is calculated sequentially from the transmitter to the receiver. Thus, it takes very long to run the simulation numerous times to obtain the statistical performance of the system. This is because the vast majority of simulation time is spent on the split-step beam propagation. In the second framework, we propose to isolate the beam propagation through atmospheric channel from the other effects. We compare the two frameworks in terms of accuracy and simulation time. We show that the second framework reduces the simulation time by more than a factor of 10 without sacrificing the accuracy under various conditions.10.13039/501100003725-National Research Foundation of Korea HR&D Center Funded by the Ministry of Science and ICT (Grant Number: 2022M1A3C2069728