• Food Science and Industry
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• v.52 no.1
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• pp.2-10
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• 2019

Sensory and consumer science is one of the four core sciences in food science training. In early years, this field of studies are focused on providing food technologists information of sensory attributes of food for quality control and product optimization, and referred as sensory evaluation or sensory science interchangeably. Yet, during the last decades, its scope has been much broadened looking at sensory properties of food not just as product attributes but consumer-perceived properties, emphasizing human experience. Attentions are increased for sensory fundamentals(sensory psychology and physiology) and multidisciplinary integration of theories and measurement methods for improving satisfaction of consumers' sensory experience and promoting healthy eating and wellbeing. The Sensory Evaluation(SE) division of Korean Society of Food Science and Technology(KoSFoST) has recently changed its name to Sensory and Consumer Science(SCS) division in order to address such evolution of the field and sensory professional's role.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.14 no.11
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• pp.4557-4572
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• 2020

The Alaska competition provides an opportunity to study the practical problems of real-world steganalysis. Participants are required to solve steganalysis involving various embedding schemes, inconsistency JPEG Quality Factor and various processing pipelines. In this paper, we propose a method to ensemble multiple deep learning steganalyzers. We select SRNet and RESDET as our base models. Then we design a three-layers model ensemble network to fuse these base models and output the final prediction. By separating the three colors channels for base model training and feature replacement strategy instead of simply merging features, the performance of the model ensemble is greatly improved. The proposed method won second place in the Alaska 1 competition in the end.

• International Journal of Computer Science & Network Security
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• v.21 no.4
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• pp.47-51
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• 2021

The article analyzes and studies that pedagogical design of the educational process using information and communication technologies in educational institutions of higher education based on the development of a model and methodology personalization of training will improve the quality of the educational process at the university and solve the identified contradiction. A qualitative analysis of foreign countries in the possibility of using information and communication technologies in educational institutions of higher education is carried out.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.25 no.2
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• pp.327-329
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• 2021

Underwater acoustic communication channel is influenced by environmental parameters such as multipath, background noise and scattering. Therefore, a transmitted signal is influenced by the sea surface and the sea bottom boundaries, and a received signal shows a delay spread. These factors create a noise in the image and degrade the quality of underwater acoustic communication. To solve these problems, in this paper, we evaluate the performance of an underwater acoustic communication model using a denoising auto-encoder used for unsupervised learning. Noise images generated by the underwater multipath channel were collected and used as training data. Experimental results were analyzed as a PSNR parameter that expressed the noise ratio of the two images.

• Journal of Information Processing Systems
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• v.18 no.3
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• pp.344-358
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• 2022

Text summarization is the task of producing a shorter version of a long document while accurately preserving the main contents of the original text. Abstractive summarization generates novel words and phrases using a language generation method through text transformation and prior-embedded word information. However, newly coined words or out-of-vocabulary words decrease the performance of automatic summarization because they are not pre-trained in the machine learning process. In this study, we demonstrated an improvement in summarization quality through the contextualized embedding of BERT with out-of-vocabulary masking. In addition, explicitly providing precise pointing and an optional copy instruction along with BERT embedding, we achieved an increased accuracy than the baseline model. The recall-based word-generation metric ROUGE-1 score was 55.11 and the word-order-based ROUGE-L score was 39.65.

• International journal of advanced smart convergence
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• v.11 no.2
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• pp.13-21
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• 2022

In this paper, we propose a learning based joint demosaicing and super-resolution framework which uses only the mosaiced color filter array(CFA) image as the input. As the proposed method works only on the mosaicied CFA image itself, there is no need for a large dataset. Based on our framework, we proposed two different structures, where the first structure uses one deep image prior network, while the second uses two. Experimental results show that even though we use only the CFA image as the training image, the proposed method can result in better visual quality than other bilinear interpolation combined demosaicing methods, and therefore, opens up a new research area for joint demosaicing and super-resolution on raw images.

• International Journal of Computer Science & Network Security
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• v.22 no.11
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• pp.260-264
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• 2022

The article considers innovative teaching methods used in the system of modern education process. Characteristic features of means, forms and methods of innovative training are defined, it is revealed the specifics of their use in the interactive educational environment of Ukrainian universities. The article is devoted to topical issues of modernization and improving the quality of higher legal education in Ukraine in the context of its European integration. Particular attention is paid to innovative technologies of legal education faculties.

• International conference on construction engineering and project management
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• 2009.05a
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• pp.774-780
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• 2009

Simulation is becoming increasingly popular in construction for training, planning and for assessment of projects. There are, however, significant problems inherent in simulating construction which are not common to other simulations. This paper describes the development and use of computer-based game for teaching and learning of some aspects of construction project management. It is concerned with the development of a model used to simulate the construction of a rock- and clay-fill dam. It includes detailed physical modelling of the performance of individual pieces of equipment and their interaction with the ground, the geography of the project and the weather in which the equipment operates. The behaviour of all of the individual pieces of equipment when acting as fleets is also discussed. The paper also describes the modelling issues of non-technical aspects of earthmoving operations. These include environmental impact, safety, quality and risks. The problems of integrating these with the physics-based models of the equipment performance are discussed. The paper also draws on real experience of using the game in classes in three universities in different countries.

• Annual Conference on Human and Language Technology
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• 2022.10a
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• pp.461-464
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• 2022

법원도서관이 발간하는 판례공보를 기반으로 판결문 자동요약을 위한 학습 데이터들이 구축되고 있다. 그런데 판결문 요약에서는 뉴스 요약과는 달리 추출요약과 생성요약 방식이 함께 사용되는 특수성이 있고, 이러한 특수성 때문에 현재 판결문 요약 데이터셋이 요약 프로그램의 성능 향상을 이끌지 못하고 있다고 생각된다. 따라서 법률가들이 판결문을 요약하는 방식을 반영하여, 추출요약 방식으로 작성된 판결요지와 생성요약 방식으로 작성된 판결요지를 분리해서 요약 데이터셋을 만들 필요가 있다. 추출요약과 생성요약에 관한 데이터셋을 따로 구축하기 위해서는 판례공보의 판결요지를 추출요약과 생성요약으로 분류하는 작업이 필요한데, 감성 분석에 사용되는 알고리즘이 판결요지의 분류 작업에 응용될 수 있다는 것을 실험 결과로 알 수 있었다.

• Journal of the Korea Safety Management & Science
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• v.25 no.3
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• pp.23-30
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• 2023

This study analyzed the factors affecting the educational effect of safety innovation education for management of public institutions. A survey was conducted on 294 CEOs and executive directors of public institutions (divided into construction sites, workplaces, and research facilities) subject to the safety management rating system to understand the impact of educational participants' characteristics and behavioral intentions after safety innovation education. As a result of statistical analysis, it was found that the executive director had a higher behavioral intention than the CEO, and the education quality, education instructor, and educational environment all had a significant positive (+) effect on the behavioral intention. This study can be used as basic data for further research related to safety innovation education for management of public institutions