• Title/Summary/Keyword: Complex Context

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Hierarchical IoT Edge Resource Allocation and Management Techniques based on Synthetic Neural Networks in Distributed AIoT Environments (분산 AIoT 환경에서 합성곱신경망 기반 계층적 IoT Edge 자원 할당 및 관리 기법)

  • Yoon-Su Jeong
    • Advanced Industrial SCIence
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    • v.2 no.3
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    • pp.8-14
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    • 2023
  • The majority of IoT devices already employ AIoT, however there are still numerous issues that need to be resolved before AI applications can be deployed. In order to more effectively distribute IoT edge resources, this paper propose a machine learning-based approach to managing IoT edge resources. The suggested method constantly improves the allocation of IoT resources by identifying IoT edge resource trends using machine learning. IoT resources that have been optimized make use of machine learning convolution to reliably sustain IoT edge resources that are always changing. By storing each machine learning-based IoT edge resource as a hash value alongside the resource of the previous pattern, the suggested approach effectively verifies the resource as an attack pattern in a distributed AIoT context. Experimental results evaluate energy efficiency in three different test scenarios to verify the integrity of IoT Edge resources to see if they work well in complex environments with heterogeneous computational hardware.

Exploring the Complexities of Dams' Impact on Transboundary Flow: A Meta-Analysis of Climate and Basin Factors

  • Abubaker Omer;Hyungjun Kim
    • Proceedings of the Korea Water Resources Association Conference
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    • 2023.05a
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    • pp.177-177
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    • 2023
  • The impacts of dams on transboundary flow are complex and challenging to project and manage, given the potential moderating influence of a broad range of anthropogenic and natural factors. This study presents a global meta-analysis of 168 studies that examines the effect magnitude of dams on downstream seasonal, annual flow, and hydrological extremes risk on 39 hotspot transboundary river basins. The study also evaluates the impact of 13 factors, such as climate, basin characteristics, dams' design and types, level of transboundary cooperation, and socioeconomic indicators, on the heterogeneity of outcomes. The findings reveal that moderators significantly influence the impact of dams on downstream flow, leading to considerable heterogeneity in outcomes. Transboundary cooperation emerges as the key factor that determines the severity of dams' effect on both dry and wet season's flows at a significance level of 0.01 to 0.05, respectively. Specifically, the presence of water-supply and irrigation dams has a significant (0.01) moderating effect on dry-season flow across basins with high transboundary cooperation. In contrast, for wet-season flow, the basin's vulnerability to climate extremes is associated with a large negative effect size. The various moderators have varying degrees of influence on the heterogeneity of outcomes, with the aridity index, population density, GDP, and risk level of hydro-political tension being the most significant factors for dry-season flow, and the risk level of hydro-political tension and basin vulnerability to climate extremes being the most significant for wet-season flow. The results suggest that transboundary cooperation is crucial for managing the impacts of dams on downstream flow, and that various other factors, such as climate, basin characteristics, and socioeconomic indicators, have significant moderating effects on the outcomes. Thus, context-specific approaches are necessary when predicting and managing the impacts of dams on transboundary flow.

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Variations in Neural Correlates of Human Decision Making - a Case of Book Recommender Systems

  • Naveen Z. Quazilbash;Zaheeruddin Asif;Saman Rizvi
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.17 no.3
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    • pp.775-793
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    • 2023
  • Human decision-making is a complex behavior. A replication of human decision making offers a potential to enhance the capacity of intelligent systems by providing additional user assistance in decision making. By reducing the effort and task complexity on behalf of the user, such replication would improve the overall user experience, and affect the degree of intelligence exhibited by the system. This paper explores individuals' decision-making processes when using recommender systems, and its related outcomes. In this study, human decision-making (HDM) refers to the selection of an item from a given set of options that are shown as recommendations to a user. The goal of our study was to identify IS constructs that contribute towards such decision-making, thereby contributing towards creating a mental model of HDM. This was achieved through recording Electroencephalographic (EEG) readings of subjects while they performed a decision-making activity. Readings from 16 righthanded healthy avid readers reflect that reward, theory of mind, risk, calculation, task intention, emotion, sense of touch, ambiguity and decision making are the primary constructs that users employ while deciding from a given set of recommendations in an online bookstore. In all 10 distinct brain areas were identified. These brain areas that lead to their respective constructs were found to be cingulate gyrus, precentral gyrus, inferior parietal lobule, posterior cingulate, medial frontal gyrus, anterior cingulate, postcentral gyrus, superior frontal gyrus, inferior frontal gyrus, and middle frontal gyrus (also referred to as dorsolateral prefrontal gyrus (DLPFC)). The identified constructs would help in developing a design theory for enhancing user assistance, especially in the context of recommender systems.

Going Wilde: Prendick, Montgomery and Late-Victorian Homosexuality in The Island of Doctor Moreau

  • Canadas, Ivan
    • Journal of English Language & Literature
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    • v.56 no.3
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    • pp.461-485
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    • 2010
  • The present paper focuses on a specific aspect of H. G. Wells' The Island of Doctor Moreau (1896), namely the issue of homosexuality, particularly as it concerns Prendick, the novel's primary narrator, and Montgomery, Moreau's assistant on the island, both of whom are implicitly associated with homosexual identity-and suggested to represent various forms of repression or acceptance-their personalities, or psyche, explored in relation to other characters on Moreau's island, particularly the Beast Folk, as well as Doctor Moreau and his treatment of the creatures as an allegory of Victorian anti-sodomy legislation and its most celebrated victim, Oscar Wilde, who had been convicted for male sodomy in 1895, only months prior to the original publication of The Island of Doctor Moreau. In addition, this paper examines an extensive series of allusions to Oscar Wilde and to late-Victorian homosexual scandals, including that author's own conviction, allusions to others involved in the affair-some of which involve situational/plot analogies, while others involve echoes or semantic associations between the names of characters in Moreau and historical figures-as well as allusions and parallels involving the most recognizably biographical of Wilde's works, The Picture of Dorian Gray (1890). The deliberate, complex web of allusions and ironic implications of homosexuality, presented in this essay, thus, expands considerably upon existing scholarly work on a range of matters concerning homosexual identity and conduct within the context of social conventions and legislation in the late-Victorian period, as well as more broadly, in scientific and humanistic terms. In this respect, one key aspect of this essay is the exploration of the novel's setting of Noble's Island, which, among other things, includes topographical allusions to nineteenth-century scientific theories of anatomical anomalies in pederasts-namely those of the eminent French forensic medical scientist, Ambroise Tardieu (1818-1879), whose underlying framework of physiological adaptation, moreover, intersected with the scientific interests of Wells and of his protagonist. Beyond this, it is shown that, in Moreau, there is as a web of allusions to homosexual practice and those same anomalies, involving the character of Montgomery and his name.

A Study on Overseas Battle Cases Using Combat Drone (공격 드론을 활용한 해외 전투사례 연구)

  • Sang-Hyuk Park;Sung-Kwon Kim;Seung-Pil Namgung
    • The Journal of the Convergence on Culture Technology
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    • v.9 no.5
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    • pp.403-407
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    • 2023
  • This study started with the background that future South Korean military organizations should develop a complex system linking unmanned systems by analyzing and considering cases using "drone," which has recently become an essential means of war. In 2014 and 2022, South Korea is facing serious security threats from North Korean drones that have recently invaded South Korea's airspace in a row. If a North Korean drone was loaded with explosives and poisonous gas and invaded our airspace, the damage would be more serious. Furthermore, what the Azerbaijan-Armenian War of 2020 and the ongoing Ukraine-Russia war have in common is that battles using "combat drones" are underway. Watching this shift in the domestic and overseas war paradigm, drones have become essential for military operations. In the context of a "ceasefire" and the military environment on the Korean Peninsula, South Korea should actively develop "Combat drones" that take into account precise strikes and portability against targets linked to military drones.

The Development of 4M Learning Cycle Teaching Model Based on the Integrated Mental Model Theory: Focusing on the Theoretical Basis & Development Procedure (통합적 정신모형 이론에 기반한 4M 순환학습 수업모형 개발: 이론적 배경과 개발과정을 중심으로)

  • Park, Ji-Yeon;Lee, Gyoung-Ho
    • Journal of The Korean Association For Science Education
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    • v.28 no.5
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    • pp.409-423
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    • 2008
  • Many researches have reported that it is difficult to solve students' difficulties in learning science with teaching models focused on certain aspects because of various reasons. Recently, in science education research, the integrated perceptive has been to put emphasis on understanding complex situations of real teaching and learning. In this research context, the integrated mental model theory that were considered as a whole factor related to learning has been studied by integrating previous studies that related to students' conceptions and learning in various fields. Thus, it is needed that the teaching model be based on the integrated mental model theory to help students to solve their difficulties. The purpose of this research was to develop a new teaching model based on the integrated mental model theory to address this issue. We reviewed current studies on student difficulties and teaching models. After this, we developed 4M learning cycle teaching model. In this paper, we described the process of developing a new teaching model and discussed how to apply this teaching model to the practices. We also discussed the effects of 4M learning cycle teaching model based on the integrated mental model theory in learning science with its implications.

A Study on the Determinants of Migration Types of the Youth in Non-metropolitan Areas by using a Hierarchical Logit Model (위계로짓모형을 활용한 비수도권 청년층의 이주유형별 결정요인 비교분석)

  • Hansoun Woo
    • Journal of the Economic Geographical Society of Korea
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    • v.26 no.4
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    • pp.421-442
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    • 2023
  • This research focuses on the fact that the characteristics of migration types of the youth in non-metropolitan areas vary by region and has the primary objective of comparing and analyzing the differences in determinants of each migration type. First, An exploratory analysis of the migration status and characteristics of the youth in non-metropolitan areas was conducted, and then a hierarchical logit model was used to estimate the determinants of migration types separately. The results showed that the characteristics of migration types vary by region, and each determinant of migration types is composed of different bundles of variables(individual and regional levels). In the future, policies aimed at securing young workforce in non-metropolitan areas will be more effective when they take into account various determinants of migration choices and reflect the regional context.

Model Interpretation through LIME and SHAP Model Sharing (LIME과 SHAP 모델 공유에 의한 모델 해석)

  • Yong-Gil Kim
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.24 no.2
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    • pp.177-184
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    • 2024
  • In the situation of increasing data at fast speed, we use all kinds of complex ensemble and deep learning algorithms to get the highest accuracy. It's sometimes questionable how these models predict, classify, recognize, and track unknown data. Accomplishing this technique and more has been and would be the goal of intensive research and development in the data science community. A variety of reasons, such as lack of data, imbalanced data, biased data can impact the decision rendered by the learning models. Many models are gaining traction for such interpretations. Now, LIME and SHAP are commonly used, in which are two state of the art open source explainable techniques. However, their outputs represent some different results. In this context, this study introduces a coupling technique of LIME and Shap, and demonstrates analysis possibilities on the decisions made by LightGBM and Keras models in classifying a transaction for fraudulence on the IEEE CIS dataset.

Corporate Social Responsibility in Modern Transnational Corporations

  • Vitalii Nahornyi;Alona Tiurina;Olha Ruban;Tetiana Khletytska;Vitalii Litvinov
    • International Journal of Computer Science & Network Security
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    • v.24 no.5
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    • pp.172-180
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    • 2024
  • Since the beginning of 2015, corporate social responsibility (CSR) models have been changing in connection with the trend towards the transition of joint value creation of corporate activities and consideration of stakeholders' interests. The purpose of the academic paper lies in empirically studying the current practice of social responsibility of transnational corporations (TNCs). The research methodology has combined the method of qualitative analysis, the method of cases of agricultural holdings in emerging markets within the framework of resource theory, institutional theory and stakeholders' theory. The results show that the practice of CSR is integrated into the strategy of sustainable development of TNCs, which determine the methods, techniques and forms of communication, as well as areas of stakeholders' responsibility. The internal practice of CSR is aimed at developing norms and standards of moral behaviour with stakeholders in order to maximize economic and social goals. Economic goals are focused not only on making a profit, but also on minimizing costs due to the potential risks of corruption, fraud, conflict of interest. The system of corporate social responsibility of modern TNCs is clearly regulated by internal documents that define the list of interested parties and stakeholders, their areas of responsibility, greatly simplifying the processes of cooperation and responsibility. As a result, corporations form their own internal institutional environment. Ethical norms help to avoid the risks of opportunistic behaviour of personnel, conflicts of interest, cases of bribery, corruption, and fraud. The theoretical value of the research lies in supplementing the theory of CSR in the context of the importance of a complex, systematic approach to integrating the theory of resources, institutional theory, theory of stakeholders in the development of strategies for sustainable development of TNCs, the practice of corporate governance and social responsibility.

Construction of Sports Event Standard System in the Context of Big Data and Internet of Things

  • Jin Zha
    • Journal of Information Processing Systems
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    • v.20 no.3
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    • pp.337-344
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    • 2024
  • It is a complex project to construct the standard system of sports events. Sports events standard system covers from the implementation plan to the evaluation work after the smooth implementation of sports events, involving many links. Large-scale sports events have extremely high media value. However, the successful organization and operation of large-scale sports events face many problems to be overcome, especially in terms of event safety. Although the organizers and organizers of large-scale events have invested many resources for the safe holding of sports events, violence similar to "football hooligans" in Europe is endless. At present, compared with Western countries, the standardization of sports events in China is low, and there is a problem of a late start and huge difference with Western developed countries. Knowing the construction of the standardization system's situation in China, we have summarized the data related to 15 sports events held in Chengdu is the last 5 years. By analyzing the problems in the process of holding these 15 events and the reflections of participants on the experience of sports events, the problems in the development of the standard system of sports events are discussed in depth. The final conclusion is that the system structure of China's sports events is not so good and athletes have a poor experience. China's sports event system still has many problems. Finally, we built a sports event standardization model using Internet of Things, and after a practical test we found that it has a good effect. Finally, we combined the current situation of sports event standardization system in China and put forward the following suggestions: laws and regulations related to the standard system of sports events must be formulated at the national level. The implementation level must strengthen the degree of integration of sports events and technology. To improve the quality of human resources in the management of sports events. The article puts forward targeted solutions, which play a great role in promoting the perfection and completeness of China's standard system for sports events. At the same time, it also promotes economic development and improves China's international status.