• Industry Promotion Research
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• v.6 no.1
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• pp.87-93
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• 2021

Qi Baishi is a prolific master of modern Chinese painting in the 20th century and a profound influence on modern Chinese painting. With a lifetime of diligence and pursuit, he brought the development of traditional Chinese literati painting to the palace of world art. Qi Baishi's paintings have very different styles and rich connotations. There is a childlike "Plantain Crowd", which is childish but full of interest. There is also a simple and old-fashioned "Peony" in the late years, vigorous and powerful, moving heartstrings. There is also the irony of the present world, refuting the ugly "Tumbler", which is thought-provoking. Of course, the most worthy of study is Qi Baishi's landscape paintings. His landscape paintings surpassed their era and have unique historical value in the transformation of modern Chinese landscape painting. He was one of the pioneers of the transformation of Chinese landscape painting in the 20th century. In this article, through the research and collation of Qi Baishi's landscape paintings, the characteristics of Qi Baishi's landscape paintings and their surpassing of the times are discovered.

• Computers and Concrete
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• v.27 no.5
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• pp.489-512
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• 2021

In this study, two powerful techniques, namely particle swarm optimization (PSO) and imperialist competitive algorithm (ICA) were selected and combined with a pre-developed ANN model aiming at improving its performance prediction of the compressive strength of concrete modified with fly ash. To achieve this study's aims, a comprehensive database with 379 data samples was collected from the available literature. The output of the database is the compressive strength (CS) of concrete samples, which are influenced by 9 parameters as model inputs, namely those related to mix composition. The modeling steps related to ICA-ANN (or neuro-imperialism) and PSO-ANN (or neuro-swarm) were conducted through the use of several parametric studies to design the most influential parameters on these hybrid models. A comparison of the CS values predicted by hybrid intelligence techniques with the experimental CS values confirmed that the neuro-swarm model could provide a higher degree of accuracy than another proposed hybrid model (i.e., neuro-imperialism). The train and test correlation coefficient values of (0.9042 and 0.9137) and (0.8383 and 0.8777) for neuro-swarm and neuro-imperialism models, respectively revealed that although both techniques are capable enough in prediction tasks, the developed neuro-swarm model can be considered as a better alternative technique in mapping the concrete strength behavior.

• Korean Journal of Otorhinolaryngology-Head and Neck Surgery
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• v.60 no.3
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• pp.99-106
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• 2017

Listening effort is defined as a listener's mental exertion required to understand a speaker's auditory message, especially when distracting conditions are present. This review paper analyzed several subjective scaling tools used to measure the listening effort in order to suggest the best tool for use with hearing-impaired listeners who have to expend much effort even in everyday life. We first explained the importance of measuring listening effort and discussed various kinds of measurements. We then analyzed and categorized 15 recently published articles (i.e., from 2014 to 2016) into three topics: performance and listening effort, listening effort and fatigue, and clinical implication of listening effort. We compared the articles in terms of pros and cons and also identified 10 tools for use in the subjective scaling. Although none of these tools were unified or standardized easily, we concluded that 7-point scale would be the most reasonable as a less time-consuming measurement for compartmentalizing the degree of listening effort. If used with objective tools for measuring the listening effort, the subjective scaling could be a powerful tool for clinical use.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.17 no.1
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• pp.121-125
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• 2007

Differential cryptanalysis and linear cryptanalysis are the most powerful approaches known for attacking many block ciphers and used to evaluating the security of many block ciphers. So designers have designed secure block ciphers against these cryptanalyses. In this paper, we present new three block cipher structures. And for given r, we prove that differential(linear) probabilities for r-round blockcipher structures are upper bounded by $p^2(q^2),\;2p^2(2q^2)$ if the maximum differential(linear) probability is p(q) and the round function is a bijective function.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.14 no.4
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• pp.135-140
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• 2004

The ID-based cryptosystem and Power Analysis Attack are attracting many researchers and have been developed aggressively to date. Especially, DPA (Differential Power Analysis) attack has been considered to be the most powerful attack against low power devices, such as smart cards. However, these two leading topics are researched independently and have little hewn relations with each other. In this paper, we investigate the effect of power analysis attack against ID based cryptosystem. As a result, we insist that ID-based cryptosystem is secure against DPA and we only need to defend against SPA (Simple Power Analysis).

• Journal of the Korea Institute of Information Security & Cryptology
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• v.21 no.3
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• pp.75-88
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• 2011

Messages need to transmit to the neighbors securely in wireless sensor network, because a sensor node is deployed in hostile area. Thus it is necessary to support secure communication. One of the most important communication part is secure multicast. Especially, group rekeying is a big problem for multicast key management. So, group rekeying must be proceed securely when secrete information is exposed by attacker. Many group rekeying schemes have been studied for ad hoc networks. However, these schemes are Ill1desirable in WSNs. In this paper, we proposed a novel group rekeying scheme in WSNs that it has very powerful security.

• Journal of Sensor Science and Technology
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• v.30 no.6
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• pp.384-387
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• 2021

Cyclic voltammetry (CV) is a powerful electrochemical measurement technique that can determine redoxable substances in a solution. The advantage of CV is that we can observe redox behavior over a wide potential range in a short time. Because of its practicality and versatility, CV is used not only in electrochemistry but also in various fields of chemistry, such as inorganic chemistry, organic chemistry, and biochemistry. As technology advances and the popularity of CV grows, the need for trained electrochemists also increases. However, most students do not receive formal training in these technologies as part of their curriculum. There are few concise and accessible resources for learning CV. Therefore, this manuscript provides a brief introduction to cyclic voltammetry to aid readers in collecting and interpreting useful data from cyclic voltammograms.

• Computers and Concrete
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• v.30 no.3
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• pp.225-236
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• 2022

In this article, Multi-Gene Genetic Programming (MGGP) is proposed for the estimation of the compressive strength of concrete. MGGP is known to be a powerful algorithm able to find a relationship between certain input space features and a desired output vector. With respect to most conventional machine learning algorithms, which are often used as "black boxes" that do not provide a mathematical formulation of the output-input relationship, MGGP is able to identify a closed-form formula for the input-output relationship. In the study presented in this article, MGPP was used to predict the compressive strength of plain concrete, concrete with fly ash, and concrete with furnace slag. A formula was extracted for each mixture and the performance and the accuracy of the predictions were compared to the results of Artificial Neural Network (ANN) and Extreme Learning Machine (ELM) algorithms, which are conventional and well-established machine learning techniques. The results of the study showed that MGGP can achieve a desirable performance, as the coefficients of determination for plain concrete, concrete with ash, and concrete with slag from the testing phase were equal to 0.928, 0.906, 0.890, respectively. In addition, it was found that MGGP outperforms ELM in all cases and its' accuracy is slightly less than ANN's accuracy. However, MGGP models are practical and easy-to-use since they extract closed-form formulas that may be implemented and used for the prediction of compressive strength.

• Journal of the Korea Computer Graphics Society
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• v.28 no.3
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• pp.13-21
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• 2022

In this paper, the goal is to investigate how manipulating the camera can minimize motion sickness and maximize immersion when a user moves in a virtual environment that requires vertical movement. In general, since a user uses virtual reality in a flat space, the actual movement of the user and the virtual movement are different, resulting in sensory conflict, which has the possibility of causing virtual reality motion sickness. Therefore, we propose three powerful camera manipulation techniques, implement them, and then propose which model is most appropriate through user experiments.

• International Journal of Computer Science & Network Security
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• v.22 no.10
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• pp.423-430
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• 2022

The emergence of social media platforms has changed the culture of business marketing. Their impact has increased considerably since the emergence of social media influencers or content creators. The phenomenon of social media influencers has been adopted as one of the most effective marketing strategies among global and local organizations. Those celebrities attract business owners, who seek to use them as means to reach a large number of potential consumers. Today, the user bases of Snapchat and YouTube in Saudi Arabia are growing fast and becoming very popular, unlike other social media platforms. Consequently, the impact of these applications' influencers on the purchasing habits of individuals cannot be underestimated. This survey paper intends to investigate the impact of Snapchat and YouTube influencers on the consumption behaviour of Saudi consumers. Results suggest that Snapchat is not only more popular but also more rusted and credible. Moreover, influencers' impact on purchasing behaviour is prevalent and powerful; furthermore, its influence is more effective in persuading Saudi consumers to buy certain products, such as food, than other products, like jewelry.