1,537 research outputs found
Characteristics of a Healthy Church from the Seven Churches of Asia that can Apply to Yohan Tokyo Christ Church
No full textThe purpose of this project is to understand the characteristics of a healthy church from the seven churches of Asia, using Revelation 2-3 and to apply those characteristics to Yohan Tokyo Christ Church. The project carefully examines the characteristics of a healthy church from Jesus Christ’s commendations and condemnations to the seven churches of Asia. It also analyzes and evaluates current situation of the Yohan Tokyo Christ Church based on surveys. Five practical strategies for spiritual health development of the Yohan Tokyo Christ Church are offered. Those strategies will help the spiritual health of the Yohan Tokyo Christ Church and other churches
Assessment of Abrasive Impact Frequency depending on the Traverse Rate in Waterjet Rock Cutting
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Decentralized Approximate Bayesian Inference for Distributed Sensor Network
No full textBayesian models provide a framework for probabilistic modelling of complex datasets. Many such models are computationally demanding, especially in the presence of large datasets. In sensor network applications, statistical (Bayesian) parameter estimation usually relies on decentralized algorithms, in which both data and computation are distributed across the nodes of the network. In this paper we propose a framework for decentralized Bayesian learning using Bregman Alternating Direction Method of Multipliers (B-ADMM).We demonstrate the utility of our framework, with Mean Field Variational Bayes (MFVB) as the primitive for distributed affine structure from motion (SfM).Peer reviewe
Fast ADMM Algorithm for Distributed Optimization with Adaptive Penalty
No full textWe propose new methods to speed up convergence of the Alternating Direction Method of Multipliers (ADMM), a common optimization tool in the context of large scale and distributed learning. The proposed method accelerates the speed of convergence by automatically deciding the constraint penalty needed for parameter consensus in each iteration. In addition, we also propose an extension of the method that adaptively determines the maximum number of iterations to update the penalty. We show that this approach effectively leads to an adaptive, dynamic network topology underlying the distributed optimization. The utility of the new penalty update schemes is demonstrated on both synthetic and real data, including an instance of the probabilistic matrix factorization task known as the structure-from-motion problem.Peer reviewe
Integration of Gold Nanoparticle-Carbon Nanotube Composite for Enhanced Contact Lifetime of Microelectromechanical Switches with Very Low Contact Resistance
No full textElectrical circuits require ideal switches with low power consumption for future electronic applications. However, transistors, the most developed electrical switches available currently, have certain fundamental limitations such as increased leakage current and limited subthreshold swing. To overcome these limitations, micromechanical switches have been extensively studied; however, it is challenging to develop micromechanical switches with high endurance and low contact resistance. This study demonstrates highly reliable microelectromechanical switches using nanocomposites. Nanocomposites consisting of gold nanoparticles (Au NPs) and carbon nanotubes (CNTs) are coated on contact electrodes as contact surfaces through a scalable and solution-based fabrication process. While deformable CNTs in the nanocomposite increase the effective contact area under mechanical loads, highly conductive Au NPs provide current paths with low contact resistance between CNTs. Given these advantages, the switches exhibit robust switching operations over 5 x 10(6) cycles under hot-switching conditions in air. The switches also show low contact resistance without subthreshold region, an extremely small leakage current, and a high on/off ratio.
A Knowledge Distribution Model to Support an Author in Narrative Creation
No full textAdjusting the knowledge of characters and the reader is a critical task for an author in narrative creation. Throughout a narrative, both characters and the reader experience events according to their own timelines and perspectives. They interpret information accumulated through their experience and update knowledge to the narrative-world which the author constructed. In this paper, we present a Knowledge Distribution Model which supports an author in finely controlling the knowledge of characters and the reader. Within the model, the Knowledge Structure is constructed by connecting event, information, and knowledge. The Knowledge State is evaluated as the degree of belief under the knowledge structure. We adopted a probabilistic reasoning model to calculate the knowledge state. The change in knowledge state, defined as Knowledge Flow, is visually presented to the author. We designed a GUI prototype to implement the proposed modeling process, and demonstrated the knowledge flow with an actual cinematic narrative
Distributed Probabilistic Learning for Camera Networks
No full textProbabilistic approaches to computer vision typically assume a centralized setting, with the algorithm granted access to all observed data points. However, many problems in wide-area surveillance can benefit from distributed modeling, either because of physical or computations constraints. In this work we present an approach to estimation and learning of generative probabilistic models in a distributed context. In particular, we show how traditional centralized models, such as probabilistic principal component analysis (PPCA), can be learned when the data is distributed across a network of sensors. We demonstrate the utility of this approach on the problem of distributed affine structure from motion (SfM). Our experiments suggest that the accuracy of the accuracy of the learned probabilistic structure and motion models rivals that of traditional centralized factorization methods.Technical report DCS-TR-69
Challenges and directions of activity of president Yoon Suk Yeol’s administration
No full textThe purpose of the article is to describe the 2022 South Korean presidential election against the backdrop of a paradigm shift and to show the challenges and directions of Yoon Suk Yeol’s new administration. The author focuses on the research problems present in the new South Korean politics. Elements of change and continuity, which were also present in previous administrations are highlighted. In May 2022, Yoon Suk Yeol was sworn into the South Korea’s highest office. Yoon’s win in the presidential election ended a trend in which a decade of progressive rule was followed by a change to conservative rule. Since 1998, progressive and conservative presidents have alternated every two terms. The minimal difference in votes in favor of the conservative candidate reflected the divisions and social preferences of Koreans who favored a change from progressive to conservative government. The results of the 2022 presidential election revealed the polarization of South Korean society. Yoon will face a series of difficult challenges. In domestic politics, he must confront the housing crisis, widespread dissatisfaction with economic inequality, and generational tensions, among other issues. Yoon will also be challenged by the parliamentary majority currently held by the Democratic Party in the National Assembly. In foreign policy, South Korea’s new president advocates strengthening the alliance with the United States and cooperation with the Quad countries; he promises to improve relations with Japan, and to take steps toward South Korea playing a greater role in the world. In his inter-Korean policy, on the other hand, Yoon follows the traditional position of the conservatives, pledging to strengthen a policy of deterrence against acts of aggression and provocation by North Korea
Continuity and change in Yoon Suk Yeol's positioning of South Korea as a strong, proactive, and global middle power
No full textSouth Korean President Yoon Suk Yeol has stressed marked change with his predecessor in launching the nation as a strong, proactive, and globally oriented middle power. By way of testing four core assumptions on progressives and conservatives' policy proclivities, this article evaluates these (asserted) changes in South Korea's foreign security policy. It finds a sharp change in Seoul's policy toward the North's nuclear and missile program but continuity with the Moon administration in strengthening South Korea's force structure. Fearing potential American abandonment, the Yoon administration has further sought deeper integration with American forces on the Peninsula. Yoon breaking with China is a big policy shift, as is his taking incremental steps toward the tripartite alliance with the USA and Japan that is much-dreaded by Beijing. South Korea establishing ties with European countries and NATO on the other side of the world is also significant.Peer reviewe
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