• Title/Summary/Keyword: Practice example

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Improving Computational Thinking Comprehension through Visualized Sorting App Development

  • Kim, Jongwan;Kim, Taeseong
    • Journal of Multimedia Information System
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    • v.8 no.3
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    • pp.191-196
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    • 2021
  • Computational thinking refers to the process and method of solving everyday problems using computers. When teaching a computational thinking class for computer majors and non-majors at university, the easiest example to deliver the concept of computational thinking is sorting. Sorting is the concept of arranging given data in order. In this work, we have implemented four visualized sorting algorithms that anyone can easily use. In particular, it helps to understand the difference between the algorithms by showing the number of comparisons and exchanges between elements, which are the criteria for evaluating the performance of the sorting algorithm in real time. It was confirmed that the practice of using the sorting visualization app developed in this research contributed to the improvement of students' understanding of computational thinking.

On the development of data-based damage diagnosis algorithms for structural health monitoring

  • Kiremidjian, Anne S.
    • Smart Structures and Systems
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    • v.30 no.3
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    • pp.263-271
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    • 2022
  • In this paper we present an overview of damage diagnosis algorithms that have been developed over the past two decades using vibration signals obtained from structures. Then, the paper focuses primarily on algorithms that can be used following an extreme event such as a large earthquake to identify structural damage for responding in a timely manner. The algorithms presented in the paper use measurements obtained from accelerometers and gyroscope to identify the occurrence of damage and classify the damage. Example algorithms are presented include those based on autoregressive moving average (ARMA), wavelet energies from wavelet transform and rotation models. The algorithms are illustrated through application of data from test structures such as the ASCE Benchmark structure and laboratory tests of scaled bridge columns and steel frames. The paper concludes by identifying needs for research and development in order for such algorithms to become viable in practice.

Cyber Social Interactions: Information Behavior in Between Social and Parasocial Interactions

  • Stock, Wolfgang G.;Fietkiewicz, Kaja J.;Scheibe, Katrin;Zimmer, Franziska
    • Journal of Information Science Theory and Practice
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    • v.10 no.3
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    • pp.15-23
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    • 2022
  • Participants in real-time online sessions, be it (business) meetings, virtual school lessons, or social live streams, all engage in cyber social interactions. Unlike parasocial interactions, cyber social interactions are characterized by reciprocity and temporal proximity. In contrast to social interactions, they lack spatial proximity and bodily contact. This is a fairly new concept in information science that rose from technological advances and unprecedented circumstances (e.g., the rise of digital economy and knowledge workers being able to work remotely or, more recently, global lockdowns and contact restrictions). As a result, the past ways of working and socializing were transformed by making them, in some cases predominantly, virtual. Regarding the example of social live streaming we exhibit the importance of cyber social interactions for information behavior research. This conceptual article is a plea for information science to engage more in human-human online relations and interactions.

Damage detection of multistory shear buildings using partial modal data

  • Shah, Ankur;Vesmawala, Gaurang;Meruane, V.
    • Earthquakes and Structures
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    • v.23 no.1
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    • pp.1-11
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    • 2022
  • This study implements a hybrid Genetic Algorithm to detect, locate, and quantify structural damage for multistory shear buildings using partial modal data. Measuring modal responses at multiple locations on a structure is both challenging and expensive in practice. The proposed method's objective function is based on the building's dynamic properties and can also be employed with partial modal information. This method includes initial residuals between the numerical and experimental model and a damage penalization term to avoid false damages. To test the proposed method, a numerical example of a ten-story shear building with noisy and partial modal information was explored. The obtained results were in agreement with the previously published research. The proposed method's performance was also verified using experimental modal data of an 8-DOF spring-mass system and a five-story shear building. The predicted results for numerical and experimental examples indicated that the proposed method is reliable in identifying the damage for multistory shear buildings.

The Role of Classroom Observation Instruments in Supporting Mathematics Teachers' Instructional Change (수학 교사의 수업실천역량 향상을 위한 수업관찰도구의 역할)

  • Noh, Jihwa
    • East Asian mathematical journal
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    • v.39 no.2
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    • pp.183-198
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    • 2023
  • Classroom observation instruments are often used to evaluate teachers' instructional practices and provide feedback to inform interventions or research studies, or professional development efforts. While designed as research tools, many classroom observation instruments can provide important information to support teachers' learning and instructional change by providing a focus for formative assessment or self-evaluation of practice. In this paper, we review two classroom observation tools and the protocols for their use with an implementation example for one of the tools. These tools are more foreign to the field compared to others but have features that might serve as affordances in relation to the purposes of a specific investigation.

Two variations of cross-distance selection algorithm in hybrid sufficient dimension reduction

  • Jae Keun Yoo
    • Communications for Statistical Applications and Methods
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    • v.30 no.2
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    • pp.179-189
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    • 2023
  • Hybrid sufficient dimension reduction (SDR) methods to a weighted mean of kernel matrices of two different SDR methods by Ye and Weiss (2003) require heavy computation and time consumption due to bootstrapping. To avoid this, Park et al. (2022) recently develop the so-called cross-distance selection (CDS) algorithm. In this paper, two variations of the original CDS algorithm are proposed depending on how well and equally the covk-SAVE is treated in the selection procedure. In one variation, which is called the larger CDS algorithm, the covk-SAVE is equally and fairly utilized with the other two candiates of SIR-SAVE and covk-DR. But, for the final selection, a random selection should be necessary. On the other hand, SIR-SAVE and covk-DR are utilized with completely ruling covk-SAVE out, which is called the smaller CDS algorithm. Numerical studies confirm that the original CDS algorithm is better than or compete quite well to the two proposed variations. A real data example is presented to compare and interpret the decisions by the three CDS algorithms in practice.

Artificial Intelligence in Neuroimaging: Clinical Applications

  • Choi, Kyu Sung;Sunwoo, Leonard
    • Investigative Magnetic Resonance Imaging
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    • v.26 no.1
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    • pp.1-9
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    • 2022
  • Artificial intelligence (AI) powered by deep learning (DL) has shown remarkable progress in image recognition tasks. Over the past decade, AI has proven its feasibility for applications in medical imaging. Various aspects of clinical practice in neuroimaging can be improved with the help of AI. For example, AI can aid in detecting brain metastases, predicting treatment response of brain tumors, generating a parametric map of dynamic contrast-enhanced MRI, and enhancing radiomics research by extracting salient features from input images. In addition, image quality can be improved via AI-based image reconstruction or motion artifact reduction. In this review, we summarize recent clinical applications of DL in various aspects of neuroimaging.

A Design of Secure Communication Architecture Applying Quantum Cryptography

  • Shim, Kyu-Seok;Kim, Yong-Hwan;Lee, Wonhyuk
    • Journal of Information Science Theory and Practice
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    • v.10 no.spc
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    • pp.123-134
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    • 2022
  • Existing network cryptography systems are threatened by recent developments in quantum computing. For example, the Shor algorithm, which can be run on a quantum computer, is capable of overriding public key-based network cryptography systems in a short time. Therefore, research on new cryptography systems is actively being conducted. The most powerful cryptography systems are quantum key distribution (QKD) and post quantum cryptograph (PQC) systems; in this study, a network based on both QKD and PQC is proposed, along with a quantum key management system (QKMS) and a Q-controller to efficiently operate the network. The proposed quantum cryptography communication network uses QKD as its backbone, and replaces QKD with PQC at the user end to overcome the shortcomings of QKD. This paper presents the functional requirements of QKMS and Q-Controller, which can be utilized to perform efficient network resource management.

PROBABILISTIC MEASUREMENT OF RISK ASSOCIATED WITH INITIAL COST ESTIMATES

  • Seokyon Hwang
    • International conference on construction engineering and project management
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    • 2013.01a
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    • pp.488-493
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    • 2013
  • Accurate initial cost estimates are essential to effective management of construction projects where many decisions are made in the course of project management by referencing the estimates. In practice, the initial estimates are frequently derived from historical actual cost data, for which standard distribution-based techniques are widely applied in the construction industry to account for risk associated with the estimates. This approach assumes the same probability distribution of estimate errors for any selected estimates. This assumption, however, is not always satisfied. In order to account for the probabilistic nature of estimate errors, an alternative method for measuring the risk associated with a selected initial estimate is developed by applying the Bayesian probability approach. An application example include demonstrates how the method is implemented. A hypothesis test is conducted to reveal the robustness of the Bayesian probability model. The method is envisioned to effectively complement cost estimating methods that are currently in use by providing benefits as follows: (1) it effectively accounts for the probabilistic nature of errors in estimates; (2) it is easy to implement by using historical estimates and actual costs that are readily available in most construction companies; and (3) it minimizes subjective judgment by using quantitative data only.

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A New Challenge to Korean American Religious Identity: Cultural Crisis in Korean American Christianity

  • Ro, Young-Chan
    • Journal of the Daesoon Academy of Sciences
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    • v.18
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    • pp.53-79
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    • 2004
  • This paper explores the relationship between Korean immigrants to the United States and their religious identity from the cultural point of view. Most scholarly studies on Korean immigrants in the United States have been dominated by sociological approach and ethnic studies in examining the social dimension of the Korean immigrant communities while neglecting issues concerning their religious identity and cultural heritage. Most Korean immigrants to America attend Korean churches regardless their religious affiliation before they came to America. One of the reasons for this phenomenon is the fact that Korean church has provided a necessary social service for the newly arrived immigrants. Korean churches have been able to play a key role in the life of Korean immigrants. Korean immigrants, however, have shown a unique aspect regarding their religious identity compared to other immigrants communities in the United States. America is a nation of immigrants, coming from different parts of the world. Each immigrant community has brought their unique cultural heritage and religious persuasion. Asian immigrants, for example, brought their own traditional religions such as Hinduism, Buddhism. People from the Middle Eastern countries brought Islamic faith while European Jews brought the Jewish tradition. In these immigrant communities, religious identity and cultural heritage were homo genously harmonized. Jewish people built synagogue and taught Hebrew, Jewish history, culture, and faith. In this case, synagogue was not only the house of worship for Jews but also the center for learning Jewish history, culture, faith, and language. In short, Jewish cultural history was intimately related to Jewish religious history; for Jewish immigrants, learning their social and political history was indeed identical with leaning of their religious history. The same can be said about the relationship between Indian community and Hinduism. Hindu temples serve as the center of Indian immigrantsin providing the social, cultural, and spiritual functions. Buddhist temples, for that matter, serve the same function to the people from the Asian countries. Chinese, Japanese, Vietnamese, Tibetans, and Thais have brought their respective Buddhist traditions to America and practice and maintain both their religious faith and cultural heritage. Middle Eastern people, for example, have brought Islamic faith to the United States, and Mosques have become the center for learning their language, practicing their faith, and maintaining their cultural heritage. Korean immigrants, unlike any other immigrant group, have brought Christianity, which is not a Korean traditional religion but a Western religion they received in 18th and 19th centuries from the West and America, back to the United States, and church has become the center of their lives in America. In this context, Koreans and Korean-Americans have a unique situation in which they practice Christianity as their religion but try to maintain their non-Christian cultural heritage. For the Korean immigrants, their religious identity and cultural identity are not the same. Although Korean church so far has provides the social and religious functions to fill the need of Korean immigrants, but it may not be able to become the most effective institution to provide and maintain Korean cultural heritage. In this respect, Korean churches must be able to open to traditional Korean religions or the religions of Korean origin to cultivate and nurture Korean cultural heritage.

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