• 한국멀티미디어학회논문지
• /
• 제19권8호
• /
• pp.1445-1452
• /
• 2016

Recently Mobile Software Applications are developed in various languages and stored in App Store. App Users selectively use appropriate apps for the owned hardware. In other words, it depends on the kinds of operating systems of the apps whether to use or not to use the applications in various languages. The apps should be differently implemented according to the kind of the user's device, though they provide the same functions. To solve these problems, it is necessary to define an independent function specification method which is not dependent to a specific system environment. In this paper, the Mobile Application Developing Framework is suggested, which incorporates all of the development process. Standardized models are proposed which can be used in the analysis and design steps. In implementation phase, a technique for cross framework design is suggested so as to implement a platform dependent mobile app.

• 한국식생활문화학회지
• /
• 제36권4호
• /
• pp.373-381
• /
• 2021

The number of vegans has increased rapidly due to religious and ethical beliefs, environmental concerns, health, etc. Also, as interest in healthy and safe food increases, the demand for organic products or nutrition-enhanced products is increasing. Therefore, this study aimed to investigate the selection attributes and purchasing behavior for protein-fortified and vegan snacks. It is anticipated that the results would find use as basic data for developing protein-fortified snacks for vegans that can meet consumer needs and derive marketing strategies. A survey was conducted on 140 consumers. According to the analysis of their purchase behavior, the number of people who had purchased high-protein snacks and vegan snacks was higher than those who did not have prior experience. The reasons for the purchase of protein fortified snacks included 'meal replacement' at 'offline-convenient store/supermarket'. Vegan snacks were purchased for 'ethical beliefs, health, environment' at 'offline-vegan restaurant, bakery'. Both snacks showed above-normal preferences. However, it is necessary to improve taste and flavor when developing these products as these were the factors that negatively impacted the preferences. The attributes were factorized into the 'showing off factor', 'sensory factor', 'credence factor', and 'functional factor' and the 'sensory factor' was considered the most important.

• 한국멀티미디어학회논문지
• /
• 제22권2호
• /
• pp.194-202
• /
• 2019

In the information society represented by the Fourth Industrial Revolution, various types of data and information that are difficult to see are produced, processed, and processed and circulated to enhance the value of existing goods. The IoT(Internet of Things) paradigm will change the appearance of individual life, industry, disaster, safety and public service fields. In order to implement the IoT paradigm, several elements of technology are required. It is necessary that these various elements are efficiently connected to constitute one system as a whole. It is also necessary to collect, provide, transmit, store and analyze IoT data for implementation of IoT platform. We designed and implemented a big data processing IoT platform for IoT service implementation. Proposed platform system is consist of IoT sensing/control device, IoT message protocol, unstructured data server and big data analysis components. For platform testing, fixed IoT devices were implemented as solar power generation modules and mobile IoT devices as modules for table tennis stroke data measurement. The transmission part uses the HTTP and the CoAP, which are based on the Internet. The data server is composed of Hadoop and the big data is analyzed using R. Through the emprical test using fixed and mobile IoT devices we confirmed that proposed IoT platform system normally process and operate big data.

• Asia Pacific Journal of Business Review
• /
• 제4권1호
• /
• pp.45-60
• /
• 2019

Proposing that the main barriers to mini-packaging success in China, in contrast to India and the Philippines, is Chinese consumers' sociocultural values and attitudes toward products in mini packages, this study investigates the factors that potentially make the China market relatively not conducive to buying products in mini packages via a survey of 468 Chinese adults in Shanghai (first-tier city) and Zhuhai (second-tier city). Results show that respondents agree that products in mini packages are difficult to store once opened, are more expensive than are larger-sized products, do not provide good value for money, entail frequent shopping, are harmful to the environment, are not advertised, and are mainly for trying new products and for traveling. They disagree with many possible reasons for the unpopularity of products in mini packages. This study's contributions are (1) providing in-depth quantitative analysis of the possible reasons mini-packaging is not popular in China, (2) offering managerial advice for using mini-packaging to increase brand competitiveness, (3) developing a scale to measure attitudes toward products in mini packages; and (4) being empirical as opposed to merely anecdotal/speculative like some studies in this area.

• 한국기계가공학회지
• /
• 제18권7호
• /
• pp.14-21
• /
• 2019

Large-diameter hydraulic devices such as the hydraulic reservoir in aircraft that serves to balance the hydraulic pressure in the various hydraulic devices in the cabin and to store hydraulic oil are operated by the internal piston systems. However, since this operates in an environment with high temperature and humidity, it may cause the inner surface to flake during its operation. Therefore, an anodizing surface treatment is applied to improve the corrosion resistance, abrasion resistance, and smooth operation. However, anodizing increases the surface roughness. Accordingly, the polishing process that improves the surface roughness after anodizing is important. However, the existing polishing process is performed manually, which results in an inefficient process. Therefore, in this study, we selected the optimum polishing conditions for effective polishing using the experimental design to improve the polishing process for the $Al_2O_3$ film that forms after anodization. Through experiments, we confirmed that the surface uniformity after polishing was superior as the feed rate was slower when the same polishing time had been applied.

• 4차산업연구
• /
• 제1권1호
• /
• pp.23-29
• /
• 2021

Purpose - Faced with the great change of the 4th industrial revolution and the addition of the COVID-19 pandemic, great confusion and crises are occurring in the retail environment as well. The purpose of this study is to suggest the necessity of establishing a methodology for applying retail tech to offline distribution channels in crisis. Research design, data, and methodology - After examining the recent developments of representative fields to which retail technology is applied, it is rearranged through consideration through previous studies. Result - The retail industry must transform into digital commerce through digital transformation. According to the development of retail technology, the distribution industry is at a time of change from the stage of brokering product and service transactions to a structure that creates value based on information on production and consumption. The business model of the distribution industry must be converted to a platform business model in which both consumers and producers become users. Conclusion - In-depth analysis of the cases has not been conducted, and there are limitations in that the development is somewhat insufficient due to insufficient prior research data. However, it is meaningful to suggest the necessity of finding a methodology for applying retail technology to overcome the crisis of offline retailers through quantitative research on the retail technology area.

• Journal of Information Processing Systems
• /
• 제17권3호
• /
• pp.599-614
• /
• 2021

This paper proposes a digital signage system based on an intelligent recommendation model. The proposed system consists of a server and an edge. The server manages the data, learns the advertisement recommendation model, and uses the trained advertisement recommendation model to determine the advertisements to be promoted in real time. The advertisement recommendation model provides predictions for various products and probabilities. The purchase index between the product and weather data was extracted and reflected using correlation analysis to improve the accuracy of predicting the probability of purchasing a product. First, the user information and product information are input to a deep neural network as a vector through an embedding process. With this information, the product candidate group generation model reduces the product candidates that can be purchased by a certain user. The advertisement recommendation model uses a wide and deep recommendation model to derive the recommendation list by predicting the probability of purchase for the selected products. Finally, the most suitable advertisements are selected using the predicted probability of purchase for all the users within the advertisement range. The proposed system does not communicate with the server. Therefore, it determines the advertisements using a model trained at the edge. It can also be applied to digital signage that requires immediate response from several users.

• International Journal of Computer Science & Network Security
• /
• 제21권5호
• /
• pp.256-266
• /
• 2021

The Convolutional Neural Network (CNN) has recently made potential improvements in face verification applications. In fact, different models based on the CNN have attained commendable progress in the classification rate using a massive amount of data in an uncontrolled environment. However, the enormous computation costs and the considerable use of storage causes a noticeable problem during training. To address these challenges, we focus on relevant data trained within the CNN model by integrating a lifting method for a better tradeoff between the data size and the computational efficiency. Our approach is characterized by the advantage that it does not need any additional space to store the features. Indeed, it makes the model much faster during the training and classification steps. The experimental results on Labeled Faces in the Wild and YouTube Faces datasets confirm that the proposed CNN framework improves performance in terms of precision. Obviously, our model deliberately designs to achieve significant speedup and reduce computational complexity in deep CNNs without any accuracy loss. Compared to the existing architectures, the proposed model achieves competitive results in face recognition tasks

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• 제15권5호
• /
• pp.1649-1665
• /
• 2021

In view of the low accuracy of the traditional FunkSVD algorithm, and in order to improve the computational efficiency of the algorithm, this paper proposes a parallel algorithm of improved FunkSVD based on Spark (SP-FD). Using RMSProp algorithm to improve the traditional FunkSVD algorithm. The improved FunkSVD algorithm can not only solve the problem of decreased accuracy caused by iterative oscillations but also alleviate the impact of data sparseness on the accuracy of the algorithm, thereby achieving the effect of improving the accuracy of the algorithm. And using the Spark big data computing framework to realize the parallelization of the improved algorithm, to use RDD for iterative calculation, and to store calculation data in the iterative process in distributed memory to speed up the iteration. The Cartesian product operation in the improved FunkSVD algorithm is divided into blocks to realize parallel calculation, thereby improving the calculation speed of the algorithm. Experiments on three standard data sets in terms of accuracy, execution time, and speedup show that the SP-FD algorithm not only improves the recommendation accuracy, shortens the calculation interval compared to the traditional FunkSVD and several other algorithms but also shows good parallel performance in a cluster environment with multiple nodes. The analysis of experimental results shows that the SP-FD algorithm improves the accuracy and parallel computing capability of the algorithm, which is better than the traditional FunkSVD algorithm.

• 보존과학회지
• /
• 제38권1호
• /
• pp.72-79
• /
• 2022

A paulownia wood has been widely used with various advantages as its low weight, permeability, convenient workability and aesthetic patterns for a long time. However, the related empirical researches and simultaneous evaluations of functionality are insufficient compared with acid-free archival boxes for now. In this study, the indoor and outdoor temperature and relative humidity control and heat release rate were evaluated under the controlled and uncontrolled circumstance in 2018. The paulownia wood storage box showed superior control effect of relative humidity than the acid-free archival box in constantly uncontrolled environment. Also, the possibility of the flame diffusion from the surface of the materials was higher for the paulownia materials, and the acid-free archival box showed more dangerous patterns in the early stages of the fire.