• Journal of IKEEE
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• v.22 no.4
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• pp.1147-1151
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• 2018

As personal users create and share lots of contents at any time and any places, new networking architecture such as content centric networking (CCN) has emerged. CCN utilizes content name as a packet identifier, not address. However, current CCN has a limitation for content source mobility management. The movement of content sources cause long delivery latency and long service disruption. To solve that, a hierarchical mobility management was was proposed. However, the hierarchical mobility management scheme has still the loss of interest packets and long handoff latency. So, this paper presents the hybrid hierarchical mobility management in mobile CCN environements to reduce both the loss rate of interest packets and the handoff latency. It is shown from the performance evaluations shows that the proposed scheme provides low loss rate of control message.

• Food Science and Industry
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• v.50 no.4
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• pp.92-103
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• 2017

A companion animal is a pet which lives and shares emotions with a person. The global pet industry economy has grown in recent times due to increased awareness of companion animals. In Korea, it grew from 800 million US dollars in 2012 to 2 billion US dollars in 2016, about 2.5-fold growth in five years. Within the pet industry, the pet food market occupies the largest market share having a value greater than 70 billion US dollars globally. In China, the average annual growth rate of the pet food industry is estimated at about 30%, and the market size is expected to reach 18 billion US dollars by 2020. The companion food market has potential to be the fastest growing and most viable food market in the future and would be a strategic employment avenue within the food industry. This report articulates the necessity for product development and institutional improvement of companion animal.

• International Journal of Computer Science & Network Security
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• v.21 no.1
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• pp.97-106
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• 2021

Social networking platforms have become a smart way for people to interact and meet on internet. It provides a way to keep in touch with friends, families, colleagues, business partners, and many more. Among the various social networking sites, Twitter is one of the fastest-growing sites where users can read the news, share ideas, discuss issues etc. Due to its vast popularity, the accounts of legitimate users are vulnerable to the large number of threats. Spam and Malware are some of the most affecting threats found on Twitter. Therefore, in order to enjoy seamless services it is required to secure Twitter against malicious users by fixing them in advance. Various researches have used many Machine Learning (ML) based approaches to detect spammers on Twitter. This research aims to devise a secure system based on Hybrid Similarity Cosine and Soft Cosine measured in combination with Genetic Algorithm (GA) and Artificial Neural Network (ANN) to secure Twitter network against spammers. The similarity among tweets is determined using Cosine with Soft Cosine which has been applied on the Twitter dataset. GA has been utilized to enhance training with minimum training error by selecting the best suitable features according to the designed fitness function. The tweets have been classified as spammer and non-spammer based on ANN structure along with the voting rule. The True Positive Rate (TPR), False Positive Rate (FPR) and Classification Accuracy are considered as the evaluation parameter to evaluate the performance of system designed in this research. The simulation results reveals that our proposed model outperform the existing state-of-arts.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.43 no.4
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• pp.142-149
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• 2020

A manufacturing company should produce its products and make a profit to continue its management. With the adoption of a multi-category small-volume production system, manufacturers that produce concrete pump-cine products are carrying out improvement activities to increase their market share amid the business-to-customer business environment. However, the slump in the construction investment environment has led to a decline in sales of concrete pump trucks. The purpose of holding inventory is to prevent loss of sales opportunities with the rate of change in the sales plan, and reducing the rate of change in the product can reduce unnecessary inventory and, in order to realize this, the goal of reducing inventory can be achieved by reviewing the parts that can be designed for common use. Therefore, to reduce the inventory of concrete pump trucks, semi-finished publicization design is necessary. According to the analysis, the frame assembly process of the 32M model is common. Production capacity can be secured without loss of sales opportunity.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.5
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• pp.409-419
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• 2022

This paper examines the post-IPO price volatility in the first trading days after the IPO of SOEs that carry out equitization, on a sample of 76 IPOs on the Hanoi Stock Exchange (Vietnam) in the period 2013-2018. Oversubscription rate, firm size, issuance size, internal equity ownership, and listing delay are all factors that influence IPO price volatility in a primitive stock market. The results showed that the average initial market-adjusted return for the first three trading days was -11.95%; -9.58% and -7.29% and the level of price volatility is related to the rate of oversubscription and company size. Issuance price, issuance size, internal equity holdings, and listing delay do not seem to contribute significantly to post-IPO share prices. Individual investors based their valuation on information released during and after the IPO. In general, the number of IPOs that yield positive and negative returns in the first trading days is about the same, indicating that the two phenomena of undervaluation and overvaluation still occur in the process of valuing shares of Vietnamese SOEs for IPOs.

• Journal of the Korea Society of Computer and Information
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• v.14 no.8
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• pp.51-58
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• 2009

In this paper. we propose search algorithm using Low Peak Feature of audio and image color value by which similar movies can be identified. Combing through entire video files for the purpose of recognizing and retrieving matching movies requires much time and memory space. Moreover, these methods still share a critical problem of erroneously recognizing as being different matching videos that have been altered only in resolution or converted merely with a different codec. Thus we present here a similar-video-retrieval method that relies on analysis of audio patterns, whose peak features are not greatly affected by changes in the resolution or codec used and image color values. which are used for similarity comparison. The method showed a 97.7% search success rate, given a set of 2,000 video files whose audio-bit-rate had been altered or were purposefully written in a different codec.

• Journal of Animal Science and Technology
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• v.65 no.6
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• pp.1254-1269
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• 2023

This study aims to predict the change in corn share according to the grazing of 20 gestational sows in a mature corn field by taking images with a camera-equipped unmanned air vehicle (UAV). Deep learning based on convolutional neural networks (CNNs) has been verified for its performance in various areas. It has also demonstrated high recognition accuracy and detection time in agricultural applications such as pest and disease diagnosis and prediction. A large amount of data is required to train CNNs effectively. Still, since UAVs capture only a limited number of images, we propose a data augmentation method that can effectively increase data. And most occupancy prediction predicts occupancy by designing a CNN-based object detector for an image and counting the number of recognized objects or calculating the number of pixels occupied by an object. These methods require complex occupancy rate calculations; the accuracy depends on whether the object features of interest are visible in the image. However, in this study, CNN is not approached as a corn object detection and classification problem but as a function approximation and regression problem so that the occupancy rate of corn objects in an image can be represented as the CNN output. The proposed method effectively estimates occupancy for a limited number of cornfield photos, shows excellent prediction accuracy, and confirms the potential and scalability of deep learning.

• Journal of Digital Convergence
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• v.16 no.5
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• pp.97-104
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• 2018

Regarding seaport operation, a higher quality performance and increasing competitiveness are main goals to adapt to the evolution of international trade. This paper discusses about the competition among Southern Vietnam seaports concerning the strategic positioning analysis, by applying BCG method. This technique describes the performance of business based on two variables such as relative market share and average growth rate. The finding shows up different performances of 21 seaports and how the strategic positioning of each port changes in the period 2007-2016. After analyzing, this research pointed out the growth in strategic positioning of ports in Cai Mep-Thi Vai complex, gradually replacing Ho Chi Minh City-Dong Nai-Binh Duong and becoming the transportation hub of Southern Vietnam. Also, The results obtained would be helpful for port administrators and operators to establish short and long-term strategies to improve competitiveness in the future.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.19 no.12
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• pp.2765-2772
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• 2015

In Korea MVNO was introduced in 2011 when twenty seven years had passed since Korea Mobile Telecom(now SK Telecom) started mobile phone service. MVNO can make competition more effective to lower communication costs through the alternatives. In the early 2000s, the need for the introduction of the MVNO has been raised already by scholars in Korea. But it wasn't until the late 2000s when rate cuts appeared to be a major policy issue, and Korean government introduced MVNO. In April 2015, MVNO's market share reached 8.8%, but Korea does not have a firm system yet. This rapid growth of MVNO market in Korea was made possible by consumers' demand for cheaper services and late introduction of MVNO. And telecom companies(MNO) abuse their supreme power against small and medium firm MVNOs and reserved market share using their subsidiary companies. Thus proper regulation is necessary. However, the government authorities should have recognized global MVNO flow quickly and have to make a sufficient effort to establish proper competition condition of the mobile telecom market.

• The Journal of Industrial Distribution & Business
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• v.9 no.3
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• pp.57-68
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• 2018

Purpose - The purpose of this study is to classify that the quality factors for comparing the Visegrard Group with the Nordic Council have historical similarities against Germany and the Soviet Union. However, this is because in the integrated European market, the competitiveness possessed by the two groups of countries is invested in the priority order to grow. Research design, data, and methodology - The study was conducted on the research design, and the reason for trying to compare the competence of the automobile industry in the assessment of industrial capability is that the Visegrard Group focuses on automotive production and the Nordic Association focuses on the commercialization of the automobile(market). In this study, searching and quantifying indirect evidence was made through standards are more complementary in Europe since each country acts like the role of the European automotive industry for example, which is different from the realistic evaluation criteria, are more important than those of the United States(first in the world) or Germany(first in Europe). Results - The results of this study are as follows: In the global EV market U.S.(export: $ 2.62 billion /share: 36.7%), Germany($ 1.29 billion /18.1%), France($ 390 million /5.4%), United Kingdom($ 380 million /5.4%), and South Korea($ 320 million/ 4.4%). South Korea's share of the EV market is 4.4%, while TSI reaches at +0.9 which measures the comparative advantage of a specific commodity in the world trade market. There is great potential for evaluated as products processing in export competition. But, commercialization, standardization, and overall market expansion did not have a positive impact on global satisfaction. Conclusions - EVs put importance on various utilities. So this suggests that Korea's exports to the EU, including the Visegrard Group, should be more focused on marketability when illuminating with a sharing industrial system under the European Union. It is necessary to specialize in manufacturing and commercialization by country(region) to prepare sharing economy and blockchain in order to create a smart-sharing city linked on artificial intelligence, as the commercialization of electric vehicles, which will have a larger growth rate than that of manufacturing in the fourth revolutionary era.