南韓

Stochastic gradient descent (SGD) is one of the preferred online optimization algorithms. However, one of its major drawbacks is its predisposition to forgetting previous data when optimizing through a data stream, also known as catastrophic interference. In this project, we attempt to mitigate this drawback by proposing a new low-cost approach which incorporates backward queried images with SGD during online training. Under this new approach, we propose that for every new training sample through the data stream, the neural network is optimized using the corresponding backward queried image from the initial dataset. After compiling the accuracy of the proposed method and SGD under a data-stream of 50,000 training cases with 10,000 test cases and comparing our algorithm to SGD, we see substantial improvements in the performance of the neural network with two different MNIST datasets (Fashion and Kuzushiji), classifying the MNIST datasets at a high accuracy for the mean, minimum, lower quartile, median, and upper quartile, while maintaining lower standard deviation in performance, demonstrating that our proposed algorithm can be a potential alternative to online SGD.

The equation of an ellipse and quadratic residues are well-known concepts in elementary geometry and number theory, respectively. While the properties of ellipse equations in Euclidean space have been extensively studied, many characteristics of quadratic residues, such as consecutive quadratic residues, have also been explored in past research. In this study, we discovered the characteristic polynomial of the equation of an ellipse over finite fields Fp, a single-variable polynomial that shares the same roots as the ellipse. Furthermore, by examining the parallels between the equation of an ellipse and the pairs of residues and nonresidues, we derived a characteristic polynomial for this concept and demonstrated its connection to the Catalan number, a significant sequence in combinatorics. This research was conducted through the following steps. First, the power sums of the roots of the ellipse in Fp were calculated using the Legendre symbol and Euler’s criterion. Next, the characteristic polynomial of the ellipse was determined using Newton’s identity, generating functions, and Vieta’s theorem. Finally, leveraging the equivalence between the equation of the ellipse and the pairs of residues and nonresidues, we established the main results connecting these two concepts with Catalan numbers.

Carbon capture and storage technology (CCS) has tremendous potential to enable the use of fossil fuels while reducing the emissions of CO2 into the atmosphere, and consequently combating climate change. CCS faces several challenges such as energy consumption, cost, low practical applications and environmentally friendliness. This research presents the first carbon capture device capable of capturing CO2 while generating green energy. By integrating advanced materials science with sustainable energy principles, the device addresses the dual challenges of CO2 mitigation and renewable energy production in a single, cost-effective platform. Beyond its technical innovations, this research highlights the device’s scalability and potential to revolutionize carbon capture deployment. The device can be integrated into industrial emissions systems, transportation systems, urban infrastructure, or even wearable technologies, providing versatile applications across different sectors. Furthermore, the device’s lightweight and flexible form factor ensures accessibility as it improves the applicability of CCS technology in remote or developing regions. This study demonstrated a novel approach to carbon capture by implementing carbon capture into a thin-film moisture electricity generator. The developed thin-film supercapacitor successfully demonstrated the capacity for supercapacitive swing adsorption of CO2, which is a relatively novel approach to CCS that is cheap, environmentally friendly, and efficient while generating green energy from ambient humidity.

The following issues associated with soil affected by wildfires were identified: First, there was a significant decline in the populations of anaerobic and aerobic soil bacteria, which play a critical role in the decomposition and cycling of organic matter. This decline resulted in reduced water retention capacity and porosity of the soil, leading to poor moisture retention and increased evaporation compared to unaffected soil. Moreover, the organic matter content in the soil was significantly depleted, inhibiting plant growth. Additionally, there was a notable proliferation of methane-producing bacteria, which contribute to the greenhouse effect. It was further observed that fire-damaged soils exhibit limited natural recovery, even over prolonged periods. .An investigation into the underlying causes of these problems revealed that actinomycetes, the primary microorganisms responsible for producing watersoluble aromatic compounds in soil, are particularly sensitive to heat compared to other bacterial species. Research demonstrated that the population and diversity of actinomycetes are significantly diminished in soils exposed to wildfires. To mitigate these issues, water-soluble aromatic compounds produced by actinomycetes were extracted and introduced into wildfire-affected soil. This intervention promoted the restoration of actinomycetes populations, enabling their normal growth in the affected soil. Consequently, various wildfire-induced soil problems were effectively resolved. These outcomes were confirmed through the study...Key Words: Actinomycetes, anaerobic and aerobic soil bacteria, methane-producing bacteria, wildfires, water-soluble aromatic compounds.

Recently,thefeedpricesforlivestockfarmshavebeencontinuouslyincreasing, while the prices of calves have been declining, leading to many livestock and dairy farms facing financial losses. If livestock farms are affected by diseases such as foot-and-mouth disease, they suffer significant losses. This is because reducedproductivityinlivestocknotonlyaffectstheirproductionbutalsoentails substantial costs for vaccines and treatments. Therefore, there is a need to explore how to effectively prevent diseases, focusing on common diseases in cattle such as subclinical mastitis and mastitis, and alleviate the burden on farms economically and environmentally. This study aims to investigate the production of bacterial growth-inhibiting straw bedding using substances such as illite and charcoal to contribute to disease prevention.

Due to global population growth and industrialization, excessive inflow of causative nitrogen into rivers, and the increase in water temperature due to global warming, the occurrence of harmful algal blooms (HABs) is increasing. HABs can cause not only ecological destruction but also various social and economic problems. Additionally, consuming water from lakes with abundant toxic cyanobacteria can lead to liver damage, vomiting, abdominal pain, and even death if consumed over a long period. The first recorded occurrence of animal mortality due to HABs was in Australia in 1878, and since then, livestock and wildlife have suffered damages from HABs worldwide. Furthermore, the United States' Lake Erie has experienced frequent HAB occurrences since 2011, and in 2007, China faced social disruption when a massive HAB outbreak in Lake Tai, one of the freshwater lakes, resulted in a suspension of the water supply. In order to address these HAB occurrence issues and assess the severity of HAB events, several systems have already been established and potential solutions have been proposed. However, these systems have limitations such as being highly systematic and advanced in terms of equipment and configuration. They are often located only in periodically affected areas, and they involve substantial costs. Therefore, we aim to overcome these limitations and design a system that can effectively manage HABs.

1. Research Motivation Have you ever seen news stating that spring is gradually disappearing from the Korean Peninsula? The characteristics of the four seasons are disappearing due to the impact of global warming. As supporting evidence, droughts and heatwaves continue during the rainy season, and unexpected heavy rainfall occurs during autumn. These abnormal temperature phenomena are greatly affecting agriculture. Crops wither due to untimely cold spells or summer droughts, and the proliferation of bacteria and pests worsens. We need to conduct a thorough investigation and response to such weather phenomena. Carbon is known to be the main culprit behind these abnormal temperature phenomena. We want to explore how carbon affects climate change and understand the implications it has. 2. Research Objectives The consequences of climate change, such as deforestation and rising sea levels, will cause significant damage to society as a whole. This will also have a profound impact on the survival of all living organisms on Earth. Unless industrialization is halted, global warming will continue, making it crucial to gain a proper understanding and find accurate alternatives. The damages caused by global warming are expanding the habitats of mosquitoes, which is expected to have an impact on the spread of mosquito-borne diseases. This can also influence the emergence of novel viruses similar to COVID-19. By examining past outbreaks of diseases transmitted by mosquitoes, we aim to predict and understand such occurrences, as well as explore ways to minimize global warming. 3. Expected Benefits Based on this research, a focused exploration of the ecological impacts of global warming can provide essential data to understand the effects of climate anomalies on us and prepare for them. As these phenomena are expected to worsen over time, it will be possible to develop measures to minimize the damage caused by bacterial infections and agricultural losses.