• Journal of Electrical Engineering and Technology
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• v.12 no.5
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• pp.1764-1776
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• 2017

To achieve economic stability, distribution Company as an economic institution should be managed by various processes. In this way, knowledge of different processes is the first step. Furthermore, expectations, outputs, requirement data, and sub-processes should be extracted and determined. Accordingly, to assign the performance responsibility of each process, the decision-making points must be introduced and, the deviation or change in set-points should be investigated into processes. Also, the performance of processes could be monitored by introducing of the sub-indictors. In this study, a practical method is presented for monitoring of reliability and power loss indices from viewpoint components' supply chain into the distribution network. At first, the visibility model of the supply chain is illustrated by focus group and the sub-indicators are extracted for each process of this chain. Then, validation and verification of the sub-indicators are accomplished by the Delphi method and, an information dashboard is presented by confirmed the sub-indicators and statistics methods. Finally, the proposed method is investigated by real data in a typical network and the results are analyzed.

• Earthquakes and Structures
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• v.18 no.2
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• pp.185-199
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• 2020

A computationally-efficient method for multi-criteria optimisation is developed for performance-based seismic design of friction energy dissipation dampers in RC structures. The proposed method is based on the concept of Uniform Distribution of Deformation (UDD), where the slip-load distribution along the height of the structure is gradually modified to satisfy multiple performance targets while minimising the additional loads imposed on existing structural elements and foundation. The efficiency of the method is demonstrated through optimisation of 3, 5, 10, 15 and 20-storey RC frames with friction wall dampers subjected to design representative earthquakes using single and multi-criteria optimisation scenarios. The optimum design solutions are obtained in only a few steps, while they are shown to be independent of the selected initial slip loads and convergence factor. Optimum frames satisfy all predefined design targets and exhibit up to 48% lower imposed loads compared to designs using a previously proposed slip-load distribution. It is also shown that dampers designed with optimum slip load patterns based on a set of spectrum-compatible synthetic earthquakes, on average, provide acceptable design solutions under multiple natural seismic excitations representing the design spectrum.

• Journal of Distribution Science
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• v.20 no.5
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• pp.1-11
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• 2022

Purpose: This study attemptsto investigate the moderating effects of environmental turbulence (ET) between learning orientation (LO) and SMEs' performance. Research design, data, and Methodology: To gain insights and provide implications for manufacturing SMEs in Pakistan, this study adopted simple random sampling to collect 379 valid responses. Data were collected through a self-administrative questionnaire from manufacturing SMEs owners/managers. Partial least squares of structural equation modeling have been used to test research hypotheses by using SmartPLS® 3.0 software. Results: The study's primary finding is that LO has a significantly positive effect on SMEs' performance and this relationship is strengthened under the moderating influence of environmental turbulence (ET). Conclusion: Environmental turbulence (ET) enables SMEs to focus on learning capability to get a more competitive advantage. Moreover, SMEs owner/managers ought to emphasize continuous learning that accentuates the capability to compete with environmental changes. Findings support notifying Pakistan's Small and Medium Enterprise Development Authority (SMEDA) in dealings with Manufacturing SMEs in terms of improving their internal capabilities. This research contributes to the literature as it provides a more detailed and in-depth explanation of distribution management-related issues faced by SMEs. This research carries a significant influence on literature and relevant Resource-based view and contingency theories.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.18 no.3
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• pp.738-754
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• 2024

Side-channel analysis (SCA) is a cryptanalytic technique that exploits physical leakages, such as power consumption or electromagnetic emanations, from cryptographic devices to extract secret keys used in cryptographic algorithms. Recent studies have shown that training SCA models with semi-supervised learning can effectively overcome the problem of few labeled power traces. However, the process of training SCA models using semi-supervised learning generates many pseudo-labels. The performance of the SCA model can be reduced by some of these pseudo-labels. To solve this issue, we propose the HWFilter method to improve semi-supervised SCA. This method uses a Hamming Weight Pseudo-label Filter (HWPF) to filter the pseudo-labels generated by the semi-supervised SCA model, which enhances the model's performance. Furthermore, we introduce a normal distribution method for constructing the HWPF. In the normal distribution method, the Hamming weights (HWs) of power traces can be obtained from the normal distribution of power points. These HWs are filtered and combined into a HWPF. The HWFilter was tested using the ASCADv1 database and the AES_HD dataset. The experimental results demonstrate that the HWFilter method can significantly enhance the performance of semi-supervised SCA models. In the ASCADv1 database, the model with HWFilter requires only 33 power traces to recover the key. In the AES_HD dataset, the model with HWFilter outperforms the current best semi-supervised SCA model by 12%.

• Proceedings of the IEEK Conference
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• 2003.11b
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• pp.3-6
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• 2003

In this paper, we conduct a performance analysis for the composite scheme that is obtained by combining the data distribution and the data replication schemes usually used for the implementation of distributed directory service systems. The analysis results reveal that the composite model is a viable option to overcome the performance trade-off between the data distribution and the data replication model. In this paper, we present the performance model developed for the composite model by appling queuing modelling. Using the performance model, performance values for a variety of system execution environments are suggested which enable us to bring an efficient design for high performance distributed directories.

• Journal of Distribution Research
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• v.4 no.1
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• pp.71-92
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• 1999

The basic purpose of this study is to investigate how the traits of the buyer-seller transaction-relationship relate to relationship performance, including relationship performance explicitly in the proposed model. The traits examined include relational norm, formalization, market uncertainty, and relationship investment. It is hypothesized that relational norm and formalization have positive impacts on relationships performance while market uncertainty has a minus impact. In addition, it is hypothesized that relational norm has a positive moderating impact on the effect of relationship investment--the investment and efforts for maintaining a relationship to relationship performance. A mail-survey to the manufacturers of machinery and equipment about their relationships with the parts suppliers was performed. Data provided a strong support for the hypotheses. As hypothesized, relationship performance and formalization generally had positive impacts on relationship performance and formalization generally had positive impacts on relationship performance while market uncertainty showed negative impacts. Also, there is a good evidence for the positive moderating effect of relational norm to the impact of relationship investment on relationship performance.

• Journal of Distribution Science
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• v.16 no.5
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• pp.17-29
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• 2018

Purpose - This study analyzed the success strategy of Korean small & medium cosmetics exporting companies to enter the Southeast Asian market. Research design, data, and methodology - The independent factors are classified into firm capacity, financial factor, institutional factor, and operational factor. The results of the selection of distributor partners of cosmetics related export companies as a were classified as financial performance and non - financial performance. In order to analyze this, 65 Korean small and medium export companies were recruited through structured online questionnaire for 44 days from September 18, 2017 to October 31, 2017. These data were analyzed by frequency analysis, correlation analysis, factor analysis and regression analysis using SPSS. Results - The Cronbach's alpha coefficient was found to be 0.846. Factor analysis between variables revealed that the eigen value exceeded 1 and was considered valid. As a result of the correlation analysis between the variables, the financial factor and the corporate's competence showed the highest correlation with 0.774. Conclusions - Among the factors influencing the financial performance of the exporting firms, the factors influencing the financial performance of the exporting companies are the factors that influence the non - financial performance rather than the financial performance.

• KIEAE Journal
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• v.9 no.5
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• pp.105-113
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• 2009

Daylighting provides the opportunity for both energy savings and improved visual comfort. An accurate estimation of the amount of daylight entering a building is the key step for daylight designing. This research aims to assess comparative daylighting performance of four different configurations of fenestration in case of unilateral windows and their variation under clear and overcast sky conditions. The selected window openings in this study were single punched, double punched, multiple punched and clerestory, and the area was same for each type of window. The experiment was designed for an office space using 1/10 scale model. Daylighting performance was evaluated by measuring the illuminance on work-plane height using Agilent data logger and photometric sensor Li-Cor. Thecomputer program ECOTECT was also used to simulate the pattern of interior illuminance distribution. Clerestory window showed the best performance in term of both illuminance level and distribution in the experiment. Multiple punched window provided more uniform illuminance distribution than single punched window. Lowest daylighting performance in the experiment was shown by double punched window.

• Journal of the Korean Society of Clothing and Textiles
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• v.32 no.2
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• pp.190-200
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• 2008

The purposes of this study were to identify brand equity factors influencing brand preference and to investigate the effects of preference and other factors on brand performance of domestic and imported fashion accessary(handbag, shoes, purse, etc.) brands. A total of 300 women aged between 20 and 49 years were surveyed during the month of September, 2006, on 2 domestic brands and 2 imported brands that were well-known to consumers. The data were analyzed with factorial analysis, multiple regression analysis, ANOVA, Cronbach's ${\alpha}$, etc., using the SPSS 10.0. The result of research showed: 1) Four factors of brand equity were identified: quality, awareness, image, and trust. 2) Quality, awareness, price acceptability, distribution proximity, and brand performance of the domestic brands were higher than those of the imported brands. But brand preference of the imported brands was higher than that of the domestic brands. 3) Brand preference of the domestic brands was affected by quality, awareness, image, and trust. And brand performance of the domestic brands was affected by appropriateness, brand preference, and distribution proximity. 4) Brand preference of the imported brands was affected by image, quality, awareness, and trust. And brand performance of the imported brands was affected by price acceptability, appropriateness, and distribution proximity.

• Journal of Distribution Science
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• v.22 no.6
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• pp.57-68
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• 2024

Purpose: Dynamic capabilities are acknowledged as pivotal factors facilitating the generation of competitive advantage and performance for enterprises across diverse sectors, notably within the food processing industry. This study endeavors to explore and examine the direct and indirect impact of dynamic capability factors, encompassing innovation capability, market orientation (customer orientation, supply chain orientation, competitor orientation), and digital orientation on the business performance of Vietnamese food processing enterprises. Research design, data and methodology: Research data was collected from 239 food processing enterprise managers and analyzed using partial least square - structural equation modeling. Results: With the exception of digital orientation, the study found evidence of the role of innovation capability and market orientation (customer orientation, supply chain orientation, competitor orientation) in the overall competitive advantage of Vietnamese food processing enterprises. Furthermore, the study underscores the contributions of innovation capability, market orientation and digital orientation in fostering performance of Vietnamese food processing enterprises. It also identifies the mediating role of competitive advantage in the relationship between dynamic capabilities and performance. Conclusions: Consequently, the study proposes a number of implications for food processing enterprise managers with the aim of establishing and enhancing competitive advantage and business performance in the future.