• International journal of advanced smart convergence
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• v.7 no.2
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• pp.38-46
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• 2018

This study proceeded an experiment that can increase such physiological properties of heated radish extract. During the extraction of radish, including the byproduct, an increase in antioxidant properties of radish according the heating temperature was performed. Upon the extracts of radish bark and radish green extract(mucheong), the physiological functionalities and antioxidant activity were investigated. As a result, the color of radish ethanol extract in dependence of heating temperature, showed light brown color at low heating temperature and black color from $150^{\circ}C$. The total polyphenol content significantly increased as a result of heat treatment; 6.7 times and 22 times higher than the control at $110^{\circ}C$ and $150^{\circ}C$, respectively. DPPH radical scavenging ability and antioxidant property increased with increasing heating temperature; in comparison to heat-treated radish at $110^{\circ}C$ and $150^{\circ}C$, $IC_{50}$ decreased by 1/22 times. $IC_{50}$ of the control was 23times higher than $150^{\circ}C$ heat treated radish (Control $IC_{50}$:130.305). According to the graph that represents ABTS activity, antioxidant activity increased in dependence of heat treatment likewise to the total polyphenol content and DDPH radical scavenging activity. Upon heat treatment at $150^{\circ}C$, antioxidant activity in consequence of ABTS assay increased 23 times higher than the control.

• International journal of advanced smart convergence
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• v.7 no.2
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• pp.119-126
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• 2018

This study analyzed the digital divide of Korean senior citizens through the preference for smart media. Targeting two media out of mobile internet and mobile social media, the media dependency ratio and the trend of people in their 20s-60s were verified. Regarding the dependency ratio of young people(20s) and senior citizens(60s), in case of mobile internet, people in their 60s were average 8.6% while people in their 20s were average 38.9%, so that the ratio of senior citizens was lower by 30.3%. In case of social media, people in their 60s were average 1%, which was 7.1% lower than people in their 20s(8.1%). And this divide was the digital divide shown in the informatization process through the trend of internet use of senior citizens in their 60s or up. Thus, as the policy measures for solving the digital divide of senior citizens, it would be required to continuously develop the digital cultural programs for senior citizens, to expansively perform the government subsidiary policies like additionally providing the essential information to senior citizens, and also to expand the smart-based infrastructure for senior citizens' participation in economic activities.

• International journal of advanced smart convergence
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• v.7 no.2
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• pp.127-134
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• 2018

This study found the digital divide of Korean elderly persons on the basis of the 2013-2017 survey data of the perception of media information adopters. The studied media were traditional ones, such as newspaper and TV. The media dependence of those in their 20s to 60s was compared and analyzed. As a result, regarding their dependence on newspaper, elderly persons in their 60s had 20.7% on average, 13.6% higher than the percentage (7.1%) of young persons. Regarding their dependence on TV, those in their 60s had 97.6% and those in their 20s had 63.7%, so that there was a wide gap of 33.9% on average. The smartphone penetration rate of those in their 60s was 61.3%(2015-2017) on average, which tended to rise. The elderly's dependence on traditional media featured Digital Divide which is found in the informatization process. Accordingly, in order to solve their digital divide, it is required to expand education in line with their knowledge level through remote online centers, develop inclusive ICT for convenience, and change philosophical policy paradigm in the dimension of quality of life.

• International journal of advanced smart convergence
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• v.9 no.2
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• pp.20-27
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• 2020

Sound event detection in real-world environments suffers from the interference of non-stationary and time-varying noise. This paper presents an adaptive noise reduction method for sound event detection based on non-negative matrix factorization (NMF). In this paper, we proposed a deep learning model that integrates Convolution Neural Network (CNN) with Non-Negative Matrix Factorization (NMF). To improve the separation quality of the NMF, it includes noise update technique that learns and adapts the characteristics of the current noise in real time. The noise update technique analyzes the sparsity and activity of the noise bias at the present time and decides the update training based on the noise candidate group obtained every frame in the previous noise reduction stage. Noise bias ranks selected as candidates for update training are updated in real time with discrimination NMF training. This NMF was applied to CNN and Hidden Markov Model(HMM) to achieve improvement for performance of sound event detection. Since CNN has a more obvious performance improvement effect, it can be widely used in sound source based CNN algorithm.

• International journal of advanced smart convergence
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• v.9 no.2
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• pp.38-48
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• 2020

The shaking-off the dust from balustrade of higher stories may cause the higher risk of falling accident rate. Main purpose of this study was to quantify an effect of balustrade heights and blanket types on possibility of falling accident relative to one's motor controllability during shaking-off the dust of the blanket from balcony. Female participants, who consisted of total 10 under condition of balustrade height of 3 kinds (90 cm, 110 cm, 130 cm) and blanket types (0.4 kg, 1.6 kg, 3 kg, 200^⁎230 cm), performed repetitively the task of shaking-off the dust of the blanket. Vertical position and velocity of center of mass due to increase of blanket weigh in case of balustrade height of 90 cm was increased, but vertical ground reaction force was decreased swiftly. That is, the higher balustrade height was, the less distance difference between center of mass and center of pressure was.

• International journal of advanced smart convergence
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• v.9 no.2
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• pp.185-194
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• 2020

Designing of a hierarchical clustering algorithm is one of the numerous approaches to minimize the energy consumption of the Wireless Sensor Networks (WSNs). In this paper, a homogeneous and randomly deployed sensor nodes is considered. These sensors are energy constrained elements. The nominal selection of the Cluster Head (CH) which falls under the clustering part of the network protocol is studied and compared to Low Energy Adaptive Clustering Hierarchy (LEACH) protocol. CHs in this proposed process is the function of total remaining energy of each node as well as total average energy of the whole arrangement. The algorithm considers initial energy, optimum value of cluster heads to elect the next group of cluster heads for the network as well as residual energy. Total remaining energy of each node is compared to total average energy of the system and if the result is positive, these nodes are eligible to become CH in the very next round. Analysis and numerical simulations quantify the efficiency and Average Energy Ratio (AER) of the proposed system.

• International journal of advanced smart convergence
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• v.9 no.2
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• pp.195-202
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• 2020

The ultimate goal of CSV activities is to increase consumer loyalty to the company, brand or organization concerned. Thus, for a professional sports club, CSV activities will ultimately aim to enhance the loyalty of spectators who are consumers of the club. Subjects of this study are the spectators of professional volleyball. We distributed 300 survey to people who were aware of the club's CSV activities among the home spectators of Hyundai Capital SkyWalkers. Data processing was performed using SPSS 23 and AMOS 18 for the analysis of confirmed factors, correlation analysis, reliability analysis, and structural equation model analysis. From these results, we were able to come up with the social problem resolution and long-term orientation among the CSV activities of professional volleyball clubs which affect the club identification. And the identification formed within the spectators of the clubs through CSV affects the club loyalty directly or through the medium of club emotion. Professional volleyball clubs need to identify the problems the community has in planning and proceeding with CSV activities and seek strategies to address them together, and approach them from a long-term oriented perspective.

• International journal of advanced smart convergence
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• v.9 no.2
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• pp.76-83
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• 2020

The fourth industrial revolution (Industry 4.0) will generate great benefits and big challenges in equal measure. Industry 4.0 has an impact on context, technology and business as long as it transforms design, production systems and products themselves. Industry 4.0 has also created many opportunities and challenges for startups to improve their business efficiency. The reality has shown that the industry 4.0 has begun to strong impacts of various levels on many areas of Vietnam's economy. In such context, it is necessary to implement sufficient and thorough research and evaluation of many issues of startups and innovation and to consider suitable solutions and effective ways to take advantages of opportunities that the Industry 4.0 brings to Vietnam. This paper proposes the solution for supporting and promoting to develope of innovative start-up enterprise in accordance with the conditions and circumstances of Vietnam in the context of Industry 4.0.

• International journal of advanced smart convergence
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• v.9 no.2
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• pp.90-104
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• 2020

It is difficult for non-experts to build machine learning (ML) models at the level that satisfies their needs. Deep learning models are even more challenging because it is unclear how to improve the model, and a trial-and-error approach is not feasible since training these models are time-consuming. To assist these novice users, we examined how interactive and explainable feedback while training a deep learning network can contribute to model performance and users' satisfaction, focusing on the data preparation process. We conducted a user study with 31 participants without expertise, where they were asked to improve the accuracy of a deep learning model, varying feedback conditions. While no significant performance gain was observed, we identified potential barriers during the process and found that interactive and explainable feedback provide complementary benefits for improving users' understanding of ML. We conclude with implications for designing an interface for building ML models for novice users.

• International journal of advanced smart convergence
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• v.9 no.2
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• pp.212-223
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• 2020

We study to confirm the relationship between leadership trust and job satisfaction on the leadership style of managers recognized by ICT organization members. To this end, the research hypothesis established by using SPSS23.0 for the survey results of 230 ICT organization members was analyzed as follows. First, the hypothesis 1 person leadership type (individual consideration: H1-1, intellectual stimulation: H1-2, charisma: H1-3, conditional compensation: H1-4, exceptional reward: H1-5) had a significant effect on leader trust. The results were obtained. Second, the hypothesis 2 manager's leadership type (individual consideration: H21-1, intellectual stimulation: H2-2, charisma: H2-3, conditional compensation: 2-4, expected compensation: H2-5) is based on job satisfaction. As a result of verifying the impact relationship, all showed significant effect on job satisfaction. Third, it acted as a positive factor in the job satisfaction of the leader of the hypothesis 3-member organizational member. It was confirmed that the job satisfaction of organizational members started based on the trust of actual leaders. Fourth, the role of leadership trust was partially confirmed between leadership type and job satisfaction. Through this study, in order to improve job satisfaction of ICT organizational members, the importance of exerting competency on the leadership type of managers and trusting the leaders on the characteristics consistent with ICT organizational characteristics was emphasized.