• Title/Summary/Keyword: discussion method

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Analysis and Design of Function Decoupling High Voltage Gain DC/DC Converter

  • Wei, Yuqi;Luo, Quanming;Lv, Xingyu;Sun, Pengju;Du, Xiong
    • Journal of Power Electronics
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    • v.19 no.2
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    • pp.380-393
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    • 2019
  • Traditional boost converters have difficulty realizing high efficiency and high voltage gain conversion due to 1) extremely large duty cycles, 2) high voltage and current stresses on devices, and 3) low conversion efficiency. Therefore, a function decoupling high voltage gain DC/DC converter composed of a DC transformer (DCX) and an auxiliary converter is proposed. The role of DCX is to realize fixed gain conversion with high efficiency, whereas the role of the auxiliary converter is to regulate the output voltage. In this study, different forms of combined high voltage gain converters are compared and analyzed, and a structure is selected for the function decoupling high voltage gain converter. Then, topologies and control strategies for the DCX and auxiliary converter are discussed. On the basis of the discussion, an optimal design method for circuit parameters is proposed, and design procedures for the DCX are described in detail. Finally, a 400 W experimental prototype based on the proposed optimal design method is built to verify the accuracy of the theoretical analysis. The measured maximum conversion efficiency at rated power is 95.56%.

E-Commerce Readiness of Creative Industry During the COVID-19 Pandemic in Indonesia

  • PRIAMBODO, Ivan Triyogo;SASMOKO, Sasmoko;ABDINAGORO, Sri Bramantoro;BANDUR, Agustinus
    • The Journal of Asian Finance, Economics and Business
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    • v.8 no.3
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    • pp.865-873
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    • 2021
  • COVID-19 pandemic has brought the world into economic recession. This study aims to present an analysis of the readiness of creative e-commerce in Indonesia. Data was collected from various locations that may represent the Creative Industry in Indonesia. The quantitative method has been applied as a research approach by gathering questionnaires from 383 business owners selected using the cluster random sampling method. Based on the results of the analysis and discussion, it is concluded that E-Commerce Readiness is very important in times of uncertainty such as the COVID-19 pandemic. The level of readiness will determine the continuity and sustainability of a company or business in a volatile business environment. E-Commerce Readiness can be evaluated based on Technology Readiness, Organizational Readiness, and Environmental Readiness. Not all perspectives are taken into consideration in making decisions about the implementation or improvement of E-Commerce in the pandemic period. Technology Readiness is seen as the most significant impact on a company's ability to cope with volatility, while Environmental Constraints encourage businesses to adopt E-Commerce and take it to the next level. On the other hand, Organizational Readiness has no effect on the E-Commerce readiness of the company because the company or organization does not consider this aspect.

Sentiment Analysis on Indonesia Economic Growth using Deep Learning Neural Network Method

  • KRISMAWATI, Dewi;MARIEL, Wahyu Calvin Frans;ARSYI, Farhan Anshari;PRAMANA, Setia
    • The Journal of Industrial Distribution & Business
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    • v.13 no.6
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    • pp.9-18
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    • 2022
  • Purpose: The government around the world is still highlighting the effect of the new variant of Covid-19. The government continues to make efforts to restore the economy through several programs, one of them is National Economic Recovery. This program is expected to increase public and investor confidence in handling Covid-19. This study aims to capture public sentiment on the economic growth rate in Indonesia, especially during the third wave of the omicron variant of the covid-19 virus, that is at the time in the fourth quarter of 2021. Research design, data, and methodology: The approach used in this research is to collect crowdsourcing data from twitter, in the range of 1st to 10th October 2021. The analysis is done by building model using Deep Learning Neural Network method. Results: The result of the sentiment analysis is that most of the tweets have a neutral sentiment on the Economic Growth discussion. Several central figures who discussed were Minister of Coordinating for the Economy of Indonesia, Minister of State-Owned Enterprises. Conclusions: Data from social media can be used by the government to capture public responses, especially public sentiment regarding economic growth. This can be used by policy makers, for example entrepreneurs to anticipate economic movements under certain conditions.

Experimental investigation of towing- and course-stability of a FPSO towed by a tug-boat with lateral motion

  • Park, Seung Hyeon;Lee, Seung Jae;Lee, Sungwook
    • International Journal of Naval Architecture and Ocean Engineering
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    • v.13 no.1
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    • pp.12-23
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    • 2021
  • In the conventional experiment to assess the towing operations, the towing stability of the towed vessel has been evaluated under the condition without lateral motion of the tug-boat. However, the tug-boats may have a lateral force to change the direction of the towed vessel. In this study, experiments have been conducted considering unsteady conditions in the towing system. First, a towing test system in a Circular Water Channel (CWC) using the conventional experimental method is built. Second, the towing characteristics of the towed vessel are investigated using the conventional method, and they are compared with other research results and stability discriminant criteria. Third, the lateral motion of the tug-boat was modeled as a sinusoidal motion using a forced oscillation device changing frequency and amplitude. Finally, the discussion is given in terms of both towing- and course-stability of the towed vessel according to the lateral motion of the tug-boat.

Reviewing And Analysis of The Deadlock Handling Methods

  • El-Sharawy, Enas E.;Ahmed, Thowiba E;Alshammari, Reem H;Alsubaie, Wafaa;Almuhanna, Norah;Alqahtani, Asma
    • International Journal of Computer Science & Network Security
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    • v.22 no.10
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    • pp.230-236
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    • 2022
  • Objectives: The primary goal of this article is to compare the multiple algorithms used for deadlock handling methods and then outline the common method in deadlock handling methods. Methods: The article methodology begins with introducing a literature review studying different algorithms used in deadlock detection and many algorithms for deadlocks prevented, recovered, and avoided. Discussion and analysis of the literature review were done to classify and compare the studied algorithms. Findings: The results showed that the deadlock detection method solves the deadlock. As soon as the real-time deadlock detection algorithm is identified and indicated, it performs better than the non-real-time deadlock detection algorithm. Our novelty the statistics that we get from the percentages of reviewing outcomes that show the most effective rate of 47% is in deadlock prevention. Then deadlock detection and recovery with 28% finally, a rate of 25% for deadlock avoidance.

DECISION SUPPORT SYSTEM FOR SUBURBAN STATION REHABILITATION

  • TaeHoon Hong;Sangyoub Lee
    • International conference on construction engineering and project management
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    • 2005.10a
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    • pp.855-861
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    • 2005
  • Every public agency governing infrastructure has to plan effectively for rehabilitation of existing facilities within the constraints of the capital program. Numerous technical, social, political, financial, and management constraints govern the decision to rehabilitate a facility. However, without a systematic procedure for selecting facilities for rehabilitation, within the prevailing constraints, it is possible that the funds available for rehabilitation might be suboptimized. Therefore, a decision support system that assists the user in selecting facilities for rehabilitation while considering the technical, social, financial, and political and management constraints will be useful in the decision-making process. This paper compares the Analytical Hierarchy Process (AHP) with the Swing Weight method used to prioritize functional criteria for suburban station rehabilitation. This paper also contains a brief discussion about the relevance of the Multi Attribute utility theory in developing a decision model for the problem at hand. The results of this paper provides the user with a decision support system that would prioritize the stations in order of their weights obtained by a systematic evaluation of various criteria and sub-criteria involved in the decision making process

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Measurements of Interface States In a MOS Capacitor by DLTS System Using Wideband Monophase Lock-in Amplifier (광대역 단상 Lock-in 증폭기 DLTS 시스템을 이용한 MOS Capacitor 계면상태 측정)

  • Bae, Dong-Gun;Chung, Sang-Koo
    • Journal of the Korean Institute of Telematics and Electronics
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    • v.23 no.6
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    • pp.807-813
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    • 1986
  • Measurements of interface states in a MOS capacitor by DLTS system using wideband monophase lock-in amplifier are discussed. A new signal analysis method that takes into account the bias pulse width and the gate off width is presented to remove the errors in the measured parameters of interface states resulting from the traditional method which neglects the effect of those widths. Theoretical calculations are made for the parameters related to the rate window, signal to noise ratio, and the energy resolution. On the grounds of this discussion, interface states of the MOS capacitor on p-type substrate of (110) orentation are measured with the optimal gate-off width with respect to the S/N ratio and the energy resolution. The results are interface state density of the order of 10**10 (cm-\ulcornereV**-1) to 10**11 (cm-\ulcornereV**-1) in the energy range of Ev+0.15(dV) to Ev+0.5(eV), and constant capture cross section of the order of 10**-16 (cm\ulcorner.

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Cross-cultural Studies Revisited in International Business (국제비즈니스에서 비교문화 연구의 재검토)

  • Cho, Ho-Hyeon
    • Iberoamérica
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    • v.12 no.1
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    • pp.407-439
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    • 2010
  • Growth of researches addressing cross-culture in international business is exponential. This article reviews the extant researches around the national culture and describes the various conceptualization of culture through discussion of some of popular models of national culture. This article presented some of the most important issues in international business surrounding globalization, especially convergence and divergence of cultures and cultural changes. Global rapid changes in international business environment request the reconsideration of the assumption of cultural stability and the simple view of culture, which tends to examine the static influence of a few cultural factors in isolation form other cultural factors and contextual elements. This paper identifies a valid cultural grouping and proposes the following typology of the possible methodologies in international business; Ethnological description, Use of proxies, Direct values inference, and Indirect values inference. Rather than selecting a single methodology, it appears to be more appropriate to use multi-method in the cross-cultural international business research. It has been shown that cultural change is intertwined with socioeconomic-institutional variables, and that these variables may also add to determine culture contemporarily. This paper also explained the dynamics of culture as multi-level, multi-layer constructs. According to this model, we may understand how the dynamic nature of culture conveys the top-down-bottom-up processes where one cultural level affects changes in other level of culture.

A Case Study on Item Analysis and Standard Setting of the Physics Basic Ability Test for Engineering College Students (공학계열 대학생 물리 기초학력평가 문항분석 및 성취수준 설정 사례연구)

  • Lee, Keumho;Jung, Hyekyung
    • Journal of Engineering Education Research
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    • v.26 no.6
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    • pp.40-50
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    • 2023
  • This study is to examine the validity of assessing basic-level proficiency in physics among incoming engineering freshmen through item analysis and standard setting. For empirical analysis, we examined the physics subject taken by the freshman class of 2021 at K University, considering its significance for engineering students. In this study, we initially performed item analysis utilizing both classical test theory and item response theory. Subsequently, leveraging the item and test information, we employed a modified Angoff method and the Bookmark method for standard setting. Consequently, the difficulty level initially set during item development was found to be higher than the actual performance level exhibited by the students. This study highlights a discernible disparity between the expected university standard and the real proficiency level of incoming freshmen in terms of basic academic ability in physics. Based on these research findings, a comprehensive discussion on the fundamental academic competence of engineering students was conducted, underscoring the necessity for formulating a tailored learning approach leveraging the outcomes from the basic ability test.

A phase synthesis time reversal impact imaging method for on-line composite structure monitoring

  • Qiu, Lei;Yuan, Shenfang
    • Smart Structures and Systems
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    • v.8 no.3
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    • pp.303-320
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    • 2011
  • Comparing to active damage monitoring, impact localization on composite by using time reversal focusing method has several difficulties. First, the transfer function of the actuator-sensor path is difficult to be obtained because of the limitation that no impact experiment is permitted to perform on the real structure and the difficulty to model it because the performance of real aircraft composite is much more complicated comparing to metal structure. Second, the position of impact is unknown and can not be controlled as the excitation signal used in the active monitoring. This makes it not applicable to compare the difference between the excitation and the focused signal. Another difficulty is that impact signal is frequency broadband, giving rise to the difficulty to process virtual synthesis because of the highly dispersion nature of frequency broadband Lamb wave in plate-like structure. Aiming at developing a practical method for on-line localization of impact on aircraft composite structure which can take advantage of time reversal focusing and does not rely on the transfer function, a PZT sensor array based phase synthesis time reversal impact imaging method is proposed. The complex Shannon wavelet transform is presented to extract the frequency narrow-band signals from the impact responded signals of PZT sensors. A phase synthesis process of the frequency narrow-band signals is implemented to search the time reversal focusing position on the structure which represents the impact position. Evaluation experiments on a carbon fiber composite structure show that the proposed method realizes the impact imaging and localization with an error less than 1.5 cm. Discussion of the influence of velocity errors and measurement noise is also given in detail.