• The Journal of Asian Finance, Economics and Business
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• v.9 no.7
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• pp.53-62
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• 2022

Commercial banks have a significant impact on the economy of Vietnam because they provide the majority of transactional capital. Therefore, the operational efficiency of commercial banks is a viral topic for the study of the Vietnamese banking system. The research aims to examine the efficiency and inefficiency of joint-stock commercial banks in Vietnam from 2016 to 2020 and then classify them into the efficient group and inefficient group. The study employs the time series data of 29 joint-stock commercial banks during the period 2016-2020. Based on the data collected from the annual audited financial statements of 29 Vietnamese joint-stock commercial banks, the authors select input and output variables for the standard DEA models and anti-efficient DEA models. This research uses two stages, first, by applying the standard DEA model, we investigate the efficient banks; second, by employing the anti-efficient DEA model, we find out the inefficient banks. The results reveal that the average efficiency score of 29 joint-stock commercial banks tends to increase in the period 2016-2018 and decrease gradually in the period 2019-2020. The findings of this study suggest that several small and medium-sized banks in the Vietnamese banking sector have both promising and risky performances and the efficiency of state-owned commercial banks has also improved significantly during the study period.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.45 no.3
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• pp.40-48
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• 2022

An automated material handling system (AMHS) has been emerging as an important factor in the semiconductor wafer manufacturing industry. In general, an automated guided vehicle (AGV) in the Fab's AMHS travels hundreds of miles on guided paths to transport a lot through hundreds of operations. The AMHS aims to transfer wafers while ensuring a short delivery time and high operational reliability. Many linear and analytic approaches have evaluated and improved the performance of the AMHS under a deterministic environment. However, the analytic approaches cannot consider a non-linear, non-convex, and black-box performance measurement of the AMHS owing to the AMHS's complexity and uncertainty. Unexpected vehicle congestion increases the delivery time and deteriorates the Fab's production efficiency. In this study, we propose a Q-Learning based dynamic routing algorithm considering vehicle congestion to reduce the delivery time. The proposed algorithm captures time-variant vehicle traffic and decreases vehicle congestion. Through simulation experiments, we confirm that the proposed algorithm finds an efficient path for the vehicles compared to benchmark algorithms with a reduced mean and decreased standard deviation of the delivery time in the Fab's AMHS.

• Journal of Distribution Science
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• v.21 no.10
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• pp.63-75
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• 2023

Purpose: This research delves into the relationship between self-leadership and procrastination behavior in banking distribution networks. Based on the self-determination theory, the study explores how organizational commitment mediates the relationship between these variables. Moreover, the research considers the vital role that intrinsic motivation plays in enhancing and reinforcing these connections. Research design and methodology: Using data from 384 bank employees and partial least squares structural equation modeling, the research found evidence to support the theory. This methodological approach enabled the investigation to uncover the intricate links between self-leadership, procrastination behavior, organizational commitment, and intrinsic motivation. Results: The findings strongly support the hypotheses, indicating a negative association between self-leadership and procrastination behavior at the workplace; conversely, a positive correlation was found between self-leadership and organizational commitment. The discovery further strengthens the results that intrinsic motivation amplifies the positive relationship between self-leadership and organizational commitment. Conclusions: This research underscores the importance of cultivating a culture of self-leadership among banking distribution network employees. By doing so, procrastination can be substantially reduced, enhancing both productivity and overall performance. The study's insights are particularly valuable for organizational leaders in the banking sector, as they provide actionable pathways to foster a more committed, motivated, and efficient workforce.

• Asia pacific journal of information systems
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• v.29 no.4
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• pp.771-788
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• 2019

Deep learning techniques such as Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs) show superior performance in text classification than traditional approaches such as Support Vector Machines (SVMs) and Naïve Bayesian approaches. When using CNNs for text classification tasks, word embedding or character embedding is a step to transform words or characters to fixed size vectors before feeding them into convolutional layers. In this paper, we propose a parallel word-level and character-level embedding approach in CNNs for text classification. The proposed approach can capture word-level and character-level patterns concurrently in CNNs. To show the usefulness of proposed approach, we perform experiments with two English and three Korean text datasets. The experimental results show that character-level embedding works better in Korean and word-level embedding performs well in English. Also the experimental results reveal that the proposed approach provides better performance than traditional CNNs with word-level embedding or character-level embedding in both Korean and English documents. From more detail investigation, we find that the proposed approach tends to perform better when there is relatively small amount of data comparing to the traditional embedding approaches.

• Journal of Communications and Networks
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• v.5 no.4
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• pp.328-343
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• 2003

Orthogonal pulse-shape modulation using Hermite pulses for ultra-wideband communications is reviewed. Closedform expressions of cross-correlations among Hermite pulses and their corresponding transmit and receive waveforms are provided. These show that the pulses lose orthogonality at the receiver in the presence of differentiating antennas. Using these expressions, an algebraic model is established based on the projections of distorted receive waveforms onto the orthonormal basis given by the set of normalized orthogonal Hermite pulses. Using this new matrix model, a number of pulse-shape modulation schemes are analyzed and a novel orthogonal design is proposed. In the proposed orthogonal design, transmit waveforms are constructed as combinations of elementary Hermites with weighting coefficients derived by employing the Gram-Schmidt (QR) factorization of the differentiating distortion model’s matrix. The design ensures orthogonality of the vectors at the output of the receiver bank of correlators, without requiring compensation for the distortion introduced by the antennas. In addition, a new set of elementary Hermite Pulses is proposed which further enhances the performance of the new design while enabling a simplified hardware implementation.

• Journal of Power Electronics
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• v.12 no.1
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• pp.113-119
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• 2012

This paper describes the design and control of a phase shift full bridge converter with a current doubler, which can be used for the on-board charger for the lead-acid battery of electric forklifts. Unlike the common resistance load, the battery has a large capacitance element and it absorbs the entire converter output ripple current, thereby shortening the battery life and degrading the system efficiency. In this paper a phase shift full bridge converter with a current doubler has been adopted to decrease the output ripple current and the transformer rating of the charger. The charge controller is designed by using the small signal model of the converter, taking into consideration the internal impedance of the battery. The stability and performance of the battery charger is then verified by constant current (CC) and constant voltage (CV) charge experiments using a lead-acid battery bank for an electric forklift.

• Journal of Power Electronics
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• v.14 no.1
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• pp.1-10
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• 2014

This paper proposes a high-efficiency supercapacitor charger. Conventional two-switch forward converter can be used for charging supercapacitors. However, the efficiency of conventional converters is low because of their switching losses. This study presents a high-efficiency two-switch forward converter for supercapacitor chargers. The proposed converter improves power efficiency by 4 %, from 89 % to 93 %. The proposed converter has the advantages of reduced switch voltage stresses and minimized circulating current when compared to other converter topologies. The performance of the proposed converter is evaluated by experimental results using a 300 W prototype circuit for a 54-V, 35-F supercapacitor bank.

• 한국전산유체공학회:학술대회논문집
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• 2009.04a
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• pp.335-340
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• 2009

Operating medium or large scale industrial boilers in partial load condition, the burner should undergo the off-design points resulting in poor exhaust gas characteristics. To obtain the stable turn down performance, two or more burners can be used for the industrial boiler. In case multiple burners are adopted, the heat transfer can be enhanced by arranging the burners properly. In the present study, numerical simulations have been conducted for the combustion chamber of a 2 t/h class industrial boiler in order to clarify the heat transfer characteristics at the combustion chamber.

• Proceedings of the KIEE Conference
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• 1990.11a
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• pp.439-442
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• 1990

A powerful general purpose image processing processor is developed using a high-speed DSP chip, TMS320C30. The image processing processor, compatible to the standard VME bus, is composed of VME bus interface unit, video rate image grabbing/coding unit, TMS320C30 interface unit and bank of high-speed SRAMs. The performance is evaluated experimentally with the general image processing algorithms and the results show that the developed processor is capable of high speed image processing.

• Proceedings of the KIEE Conference
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• 2004.11c
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• pp.484-486
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• 2004

In this paper, the power electronics requirement and the controls of an induction motor for fuel cell electric vehicle system are presented. The power topology is selected based on performance, cost, size, volume, manufacturability, component count and simplicity. Another highlight of the topology is the reduction of battery bank and its control strategy. The proposed approach consists a full-bridge DC/DC converter to boost the fuel cell voltage. The induction motor operated with vector control is driven by a three-phase PWM inverter supplied by the DC-link voltage. The investigation of the electric vehicle performed due to parameter variation of the induction motor has been presented.