• Clinical Psychopharmacology and Neuroscience
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• v.16 no.4
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• pp.449-460
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• 2018

Objective: Prior functional magnetic resonance imaging (fMRI) work has revealed that children/adolescents with disruptive behavior disorders (DBDs) show dysfunctional reward/non-reward processing of non-social reinforcements in the context of instrumental learning tasks. Neural responsiveness to social reinforcements during instrumental learning, despite the importance of this for socialization, has not yet been previously investigated. Methods: Twenty-nine healthy children/adolescents and 19 children/adolescents with DBDs performed the fMRI social/non-social reinforcement learning task. Participants responded to random fractal image stimuli and received social and non-social rewards/non-rewards according to their accuracy. Results: Children/adolescents with DBDs showed significantly reduced responses within the caudate and posterior cingulate cortex (PCC) to non-social (financial) rewards and social non-rewards (the distress of others). Connectivity analyses revealed that children/adolescents with DBDs have decreased positive functional connectivity between the ventral striatum (VST) and the ventromedial prefrontal cortex (vmPFC) seeds and the lateral frontal cortex in response to reward relative to non-reward, irrespective of its sociality. In addition, they showed decreased positive connectivity between the vmPFC seed and the amygdala in response to non-reward relative to reward. Conclusion: These data indicate compromised reinforcement processing of both non-social rewards and social non-rewards in children/adolescents with DBDs within core regions for instrumental learning and reinforcement-based decision-making (caudate and PCC). In addition, children/adolescents with DBDs show dysfunctional interactions between the VST, vmPFC, and lateral frontal cortex in response to rewarded instrumental actions potentially reflecting disruptions in attention to rewarded stimuli.

• Journal of Korean Society of Forest Science
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• v.100 no.4
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• pp.548-557
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• 2011

REDD is recognized as a cost-effective and the most appropriate way of managing global GHG emissions. It is negotiated in a global context under the UNFCCC. The main issues of the REDD mechanism are divided into two parts: 1) developing forest carbon verification and measurement system for reducing emissions from deforestation and forest degradation, 2) establishing an appropriate system of incentives for developing countries. REDD can provide stability in carbon offset credits. However, the most important task is to establish a clear legal framework and appropriate governance structures with relevant countries. There is a wide opportunities for Republic of Korea to take a lead in cutting off greenhouse gasses in the Post-Kyoto period.

• English & American cultural studies
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• v.13 no.1
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• pp.83-103
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• 2013

This paper focuses on the function of suicidal images in the history of art including literature. Death has been romanticized or repoliticized into an existential act of defiance and rebellion in literary works, so questions remain about the correlation between literary suicide and the essence of suicide. Although Jacques Ranciere insists that the order of art contrasts with the order of common people whose acts and gestures can express either their specific purposes nor the rationalities of their frustration, literary suicide reflects the outside life of readers. In fact, images of suicide produces the order of things about the real world. William Shakespeare's Hamlet handled two oppositional self-murder significantly. As Ron M. Brown pointed out, Hamlet, by choosing confrontation, seeks out an end which is voluntary, thus he avoids self-destruction and feels triumph of heroic fashion. Ophelia's self-chosen death stems from loss, frailty and the disintegration of reason, which demeans the act and diminishes her from the tragic to the pathetic(16). In the $19^{th}$ century, the resurrection of Ophelia acted as the context for later periods where life itself is fictionalized from the differing periods of network of signifier and texts. Finally, in Ophelia's case, fiction became life(Brown 285). Her suicidal image was fixed in the Victorian Culture whose visual discourse was strikingly similar to that of the men. Likewise, the ambiguities of the suicide became intertwined with the social, cultural issues of a certain period, and the paradigm of suicide was conformed to the changing needs of successive generations. However, if literary art understands that a European culture grappled with the almost impossible task and coming to terms with this strangest and most persistent of phenomena, it will be able to focus on of the multi-layered suicide by recognizing the inherent instability of the verbal sign which cannot reveal the design and grammar of truth.

• English & American cultural studies
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• v.18 no.1
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• pp.53-92
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• 2018

This essay aims to examine chick lit written within the Asian American context. For the most part, the chick lit genre has been typically regarded as a site to study contemporary white women's experiences and to debate the genres' credentials as feminist literature. Though some may disagree, there is general consensus that chick lit has fallen out of vogue after reaching its peak in the first decade of the new millenium.; nevertheless, it is being revisited by readers and critics alike as it has recently re-emerged as a location upon which to examine how race and gender inform notions of national belonging and female subject formation in the twenty-first century. To this end, this essay reads Kim Wong Keltner's The Dim Sum of All Things (2004). Keltner's protagonist Lindsey Owyang is yet another twentysomething "chick" looking for love, self, independence, and success in the huge megalopolis of San Francisco. What sets Lindsey apart from the chick prototype is that she is a third-generation ABC (American-born Chinese) and issues relevant to Asian America frequently make their way into Lindsey's narrative. Though it is generally considered as standing a "few notches above the standard chick-lit fare" (Stover n. pag), I would argue that meaningful reflections on many of the major pillars of Asian American literature, history, and cultural politics are glossed over in favor of cursory musings about the daily vicissitudes of Lindsey's life. This essay thus takes to task Ferriss's claim that a "serious" consideration of chick lit "brings into focus many of the issues facing contemporary women and contemporary culture - issues of identity, of race and class, of femininity and feminism, of consumerism and self-image" (2). I contend that a close examination of Keltner's The Dim Sum of All Things discloses that the chick lit format undermines a "serious consideration" of Asian American issues by presenting in particular a highly problematic representation of race and of Asian American femininity.

• International journal of advanced smart convergence
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• v.10 no.1
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• pp.1-11
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• 2021

Document page segmentation is an important step in building a quality optical character recognition module. The study examined already existing work on the topic of page segmentation and focused on the development of a segmentation model that has greater functional significance for application in an organization, as well as broad capabilities for managing the quality of the model. The main problems of document segmentation were highlighted, which include a complex background of intersecting objects. As classes for detection, not only classic text, table and figure were selected, but also additional types, such as signature, logo and table without borders (or with partially missing borders). This made it possible to pose a non-trivial task of detecting non-standard document elements. The authors compared existing neural network architectures for object detection based on published research data. The most suitable architecture was RetinaNet. To ensure the possibility of quality control of the model, a method based on neural network modeling using the RetinaNet architecture is proposed. During the study, several models were built, the quality of which was assessed on the test sample using the Mean average Precision metric. The best result among the constructed algorithms was shown by a model that includes four neural networks: the focus of the first neural network on detecting tables and tables without borders, the second - seals and signatures, the third - pictures and logos, and the fourth - text. As a result of the analysis, it was revealed that the approach based on four neural networks showed the best results in accordance with the objectives of the study on the test sample in the context of most classes of detection. The method proposed in the article can be used to recognize other objects. A promising direction in which the analysis can be continued is the segmentation of tables; the areas of the table that differ in function will act as classes: heading, cell with a name, cell with data, empty cell.

• International Journal of Computer Science & Network Security
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• v.22 no.8
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• pp.75-80
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• 2022

In modern society, the organization of the educational process plays an important role in education. Traditionally, it is through communication and dialogue between the teacher and the student that professional competence is acquired. As society develops, the demand in the global labor market changes and the requirements and criteria for specialists increase. Therefore, a new approach to managing the pedagogical interaction between a teacher and a student in the process of education in a higher educational institution allows a positive impact on the system of training specialists and opens up new prospects for the formation of competitive specialists. The issue of the quality of education is a key one and is covered in the documents regulating the process of educational activities. Also an important problem today is the transition to qualitatively new and innovative systems of training specialists and the departure from outdated models of managing pedagogical interaction in higher education institutions. The process of managing the pedagogical interaction between a teacher and a student is one of the most important for studying in the context of higher education. Thus, the main task of the study is to analyze the role of communication and dialogue during studies in higher education. As a result of the study, current trends and prerequisites for communication and dialogue tools during studies in higher education

• International Journal of Computer Science & Network Security
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• v.22 no.5
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• pp.294-302
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• 2022

Detection of fake news is a complex and a challenging task. Generation of fake news is very hard to stop, only steps to control its circulation may help in minimizing its impacts. Humans tend to believe in misleading false information. Researcher started with social media sites to categorize in terms of real or fake news. False information misleads any individual or an organization that may cause of big failure and any financial loss. Automatic system for detection of false information circulating on social media is an emerging area of research. It is gaining attention of both industry and academia since US presidential elections 2016. Fake news has negative and severe effects on individuals and organizations elongating its hostile effects on the society. Prediction of fake news in timely manner is important. This research focuses on detection of fake news spreaders. In this context, overall, 6 models are developed during this research, trained and tested with dataset of PAN 2020. Four approaches N-gram based; user statistics-based models are trained with different values of hyper parameters. Extensive grid search with cross validation is applied in each machine learning model. In N-gram based models, out of numerous machine learning models this research focused on better results yielding algorithms, assessed by deep reading of state-of-the-art related work in the field. For better accuracy, author aimed at developing models using Random Forest, Logistic Regression, SVM, and XGBoost. All four machine learning algorithms were trained with cross validated grid search hyper parameters. Advantages of this research over previous work is user statistics-based model and then ensemble learning model. Which were designed in a way to help classifying Twitter users as fake news spreader or not with highest reliability. User statistical model used 17 features, on the basis of which it categorized a Twitter user as malicious. New dataset based on predictions of machine learning models was constructed. And then Three techniques of simple mean, logistic regression and random forest in combination with ensemble model is applied. Logistic regression combined in ensemble model gave best training and testing results, achieving an accuracy of 72%.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.22 no.5
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• pp.43-48
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• 2022

With the recent performance improvement of mobile devices as well as the emergence of various applications, not only interactive tasks but also real-time tasks are rapidly increasing. As real-time tasks have deadline requirements, resource management policies used in the conventional time-sharing systems have limitations in satisfying real-time constraints. In this paper, we examine how to efficiently manage resources while satisfying the constraints of real-time tasks through end-to-end resource management of CPU, memory, and storage when interactive and real-time tasks are executed concurrently on a mobile device. Instead of suggesting complicated resource management policies, we focus on examining the basic concepts necessary for each resource management. Specifically, we first look at basic policies such as assigning dedicated CPU cores for real-time tasks, allocating a certain working set of real-time tasks in memory, and using fast storage without context switch in I/O. We then consider how these basic policies can be adopted efficiently.

• Journal of Broadcast Engineering
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• v.26 no.6
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• pp.704-713
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• 2021

This paper proposes a method to prioritize the virtual objects to be selected, considering both the user's hand and the geometric relationship with the virtual objects and the user's intention which is recognized in advance. Picking up virtual objects in VR content is an essential and most commonly used interaction. When virtual objects are located close to each other in VR, a situation occurs in which virtual objects that are different from the user's intention are selected. To address this issue, this paper provides different weights for user intentions and distance between user's hand and virtual objects to derive priorities in order to generate interactions appropriately according to the situation. We conducted the experiment in the situation where the number of virtual objects and the distance between virtual objects are diversified. Experiments demonstrate the effectiveness of the proposed method when the density between virtual objects is high and the distance between each other is close, user satisfaction increases to 20.34% by increasing the weight ratio of the situation awareness. We expect the proposed method to contribute to improving interaction skills that can reflect users' intentions.

• Journal of Convergence for Information Technology
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• v.11 no.4
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• pp.46-54
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• 2021

As the realization of the 4th industrial revolution is approaching, the paradigm of the corporate work environment is changing to digital, from the traditional work environment. In particular, technologies like RPA(robotic process automation) and chatbot reduce the need for human labor or task by automating simple repetitive tasks, enabling humans to focus on more valuable tasks. In this study, corporates operating expense management services in public cloud computing environments develop a cloud module that simplifies expense report management by grafting robotic process automation and chatbot technology. According to the result of the expert evaluation, the developed system marked 80.3% of satisfaction levels and the highest satisfaction level 94% was confirmed in terms of easy of use. Based on the research result, future research can be suggested to expand the works occurring inside and outside the company to a single RPA environment by additionally linking the work system related to expense management.