• Journal of Information Processing Systems
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• v.17 no.3
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• pp.441-452
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• 2021

Federated learning provides an efficient integrated model for distributed data, allowing the local training of different data. Meanwhile, the goal of multi-task learning is to simultaneously establish models for multiple related tasks, and to obtain the underlying main structure. However, traditional federated multi-task learning models not only have strict requirements for the data distribution, but also demand large amounts of calculation and have slow convergence, which hindered their promotion in many fields. In our work, we apply the rank constraint on weight vectors of the multi-task learning model to adaptively adjust the task's similarity learning, according to the distribution of federal node data. The proposed model has a general framework for solving optimal solutions, which can be used to deal with various data types. Experiments show that our model has achieved the best results in different dataset. Notably, our model can still obtain stable results in datasets with large distribution differences. In addition, compared with traditional federated multi-task learning models, our algorithm is able to converge on a local optimal solution within limited training iterations.

• Kyungpook Mathematical Journal
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• v.61 no.1
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• pp.99-110
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• 2021

In the present paper, we determine new characterisations of the subclasses ����∗��(α, β; γ) and ������(α, β; γ) of analytic functions associated with Pascal distribution series ${\Phi}^m_q(z)=z-{\sum_{n=2}^{\infty}}(^{n+m-2}_{m-1})q^{n-1}(1-q)^mz^n$. Further, we give necessary and sufficient conditions for an integral operator related to Pascal distribution series ${\mathcal{G}}^m_qf(z)={\int_{0}^{z}}{\frac{{\Phi}^m_q(t)}{t}}dt$ to belong to the above classes. Several corollaries and consequences of the main results are also considered.

• Journal of Distribution Science
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• v.20 no.3
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• pp.45-52
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• 2022

Purpose: This study investigated the impact of staff verbal and non-verbal communication on consumer satisfaction and revisit intention. The study sought to identify differences in demographic and eating out characteristics on perceived verbal and non-verbal communication. Research design and methodology: This study used a survey method to collect data. The questionnaire asked about previous experience with verbal and non-verbal communication with staff at a counter service restaurant. The study measured degrees of perceived verbal and non-verbal communication. In addition, the effect of verbal and non-verbal communication on satisfaction and revisit intention was measured. The principal results: Results of ANOVA showed significant differences in monthly income on verbal communication and monthly income and budget for dining out on verbal and non-verbal communication. Both verbal and non-verbal communication affected satisfaction and revisit intention significantly with slightly more power of verbal communication than non-verbal communication. Major conclusions: Results of this study suggest that consumers are affected by both verbal and non-verbal communication. Staff communication is critical to increasing consumer satisfaction and revisit intention; hence, training staff in effective communication is necessary.

• Journal of The Korean Astronomical Society
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• v.55 no.5
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• pp.139-148
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• 2022

We explore the latitudinal distribution of sunspots and pursue to establish a correlation between the statistical parameters of the latitudinal distribution of sunspots and characteristics of solar activity. For this purpose, we have statistically analyzed the daily sunspot areas and latitudes observed from May in 1874 to September in 2016. As results, we confirm that the maximum of the monthly averaged International Sunspot Number (ISN) strongly correlates with the mean number of sunspots per day, while the maximum ISN strongly anti-correlates with the number of spotless days. We find that both the maximum ISN and the mean number of sunspots per day strongly correlate with the the average latitude, the standard deviation, the skewness of the the latitudinal distribution of sunspots, while they appears to marginally correlate with the kurtosis. It is also found that the northern and southern hemispheres seem to show a correlated behavior in a different way when sunspots appearing in the northern and southern hemispheres are examined separately.

• Journal of Distribution Science
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• v.20 no.10
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• pp.119-129
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• 2022

Purpose: The purpose of this study was to investigate sales managers' strategic focus on customer acquisition, specifically its effect on salespeople's performance. In addition, this study aimed to determine how salespeople's interpersonal skills, salesmanship skills, and technical knowledge affect the relationship between customer-acquisition management and salespeople's performance. Research design, data, and methodology: This study conducted a survey of 310 salespeople working at pharmaceutical companies. A structural equation modeling approach was applied to test the main effects and interaction effects using AMOS. Results: The results indicated that both managers' customer-acquisition orientation and salespeople's salesmanship skills and technical knowledge positively affected the latter's performance. Further, it was found that the higher the technical knowledge of the salesperson, the greater the effect of the customer-acquisition orientation on sales performance. Conclusions: Sales managers should enable salespeople to quickly acquire technical knowledge with respect to the market, products, competitors, and company policy so that they can bring greater synergy to the customer-acquisition orientation.

• Journal of Distribution Science
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• v.19 no.8
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• pp.57-67
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• 2021

Purpose: The purpose of this study was to explain the application of TPB and personal happiness on donation behavior and willingness to donate. Research design, data, and methodology: The population of this research is people in Indonesia who have a tendency in its culture to donate. The sample size used was 245 people with a purposive sampling method. The analysis technique used is Path Analysis using SEM-PLS. Result: The results show that the subjective norm had appositive and significant effect on attitude to donate; subjective norm has appositive and significant effect on the donation behavior. Personal happiness has a positive and significant effect on attitude to donate, and personal happiness also has a positive and significant effect on the donation behavior, and the donation behavior has a positive and significant effect on the attitude to donate. Conclusions: Being a responsible person to other people's conditions, as you see other people needing help, you will feel that you have the power to help them. you are often helping people in need, which concludes you are a compassionate person.

• KEPCO Journal on Electric Power and Energy
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• v.8 no.2
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• pp.49-53
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• 2022

The distribution live-line work method is an operation method of working in a state in which electricity flows through overhead distribution lines to minimize inconvenience to electric customers due to power failure. In June 2016, to strengthen the safety of electrical workers, Korea Electric Power Corporation announced that it would in principle abolish the rubber glove method, in which workers wore protective equipment such as rubber gloves and performed their maintenance work. In addition, KEPCO announced that it would develop a short-range live working method using smart sticks and an advanced live-line maintenance robot system where workers work without touching wires directly. This paper is a preliminary study for the development of the live-line maintenance robot system, and deals with the results of analyzing the technical feasibility of whether the live works performed by workers can be replaced by robots or not.

• Journal of the Korea Safety Management & Science
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• v.24 no.4
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• pp.143-148
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• 2022

This paper attempted to analyze the correlation between the risk image of the evacuees in the tunnel and the variables that affect the evacuation behavior due to the closed feeling. As to whether there is a difference in the level of recognizing the tunnel risk image according to the distribution of jobs, the null hypothesis was rejected at the significance probability of 0.002, so it can be said that the level of recognition of the tunnel risk image varies depending on the job group. In the distribution difference between gender and tunnel risk image recognition level, the significance probability was 0.012, indicating that the null hypothesis was rejected, indicating that the tunnel risk recognition distribution according to gender was different. As a result of analyzing the distribution difference between the tunnel's closed feeling and the tunnel risk perception level, the significance probability was 0.001, and the null hypothesis was rejected, indicating that there was a difference in the tunnel risk image level.

• KEPCO Journal on Electric Power and Energy
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• v.8 no.1
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• pp.21-29
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• 2022

Power generated from renewable energy has continuously increased recently. As the distributed generation begins to interconnect in the distribution system, an accurate generation forecasting has become important in efficient distribution planning. This paper explained method and current state of distributed power generation forecasting models. This paper presented selecting input and output variables for the forecasting model. In addition, this paper analyzed input variables and forecasting models that can use as mid-to long-term distributed power generation forecasting.

• Journal of Information Processing Systems
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• v.18 no.5
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• pp.665-676
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• 2022

In modern logistics, the effective use of the vehicle volume and loading capacity will reduce the logistic cost. Many heuristic algorithms can solve this knapsack problem, but lots of these algorithms have a drawback, that is, they often fall into locally optimal solutions. A fusion optimization method based on simulated annealing algorithm (SA) and binary particle swarm optimization algorithm (BPSO) is proposed in the paper. We establish a logistics knapsack model of the fusion optimization algorithm. Then, a new model of express logistics simulation system is used for comparing three algorithms. The experiment verifies the effectiveness of the algorithm proposed in this paper. The experimental results show that the use of BPSO-SA algorithm can improve the utilization rate and the load rate of logistics distribution vehicles. So, the number of vehicles used for distribution and the average driving distance will be reduced. The purposes of the logistics knapsack problem optimization are achieved.