• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.9 no.6
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• pp.1-8
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• 2009

Though the wireless ad-hoc network which is recently highly focused is power limited network, one of the main research topic is power saving. We propose a optimal power allocation strategy and derive the optimal power of the opportunistic transmission relays for minimum outage probability of the power limited network. It is shown that the proposed optimal power allocation has always better performance than that of the equal power allocation.

• Proceedings of the Korean Association for Survey Research Conference
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• 2001.04a
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• pp.87-108
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• 2001

Recently, the user of mobile and cordless internet is growing rapidly. So the advertising methodologies are appeared on stage through the internet and mobile service. But the current advertisement(AD) service into mobile phones supplies a short-sentence AD using letter-message, and gives mobile phone users an inconvenience by making them first listen to and then check the AD. Until now the AD service using mobile has been on the beginning level. In this study, we suggest the new advertising methodologies and propose both target marketing strategies and demand forecast through the data mining techniques.

• Survey Research
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• v.2 no.1
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• pp.87-108
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• 2001

Recently, the user of mobile and cordless internet is growing rapidly. So the advertising methodologies are appeared on stage through the internet and mobile service. But the current advertisement(AD) service into mobile phones supplies a short-sentence AD using letter-message, and gives mobile phone users an inconvenience by making them first listen to and then check the AD. Until now the AD service using mobile has been on the beginning level. In this study, we suggest the new advertising methodologies and propose both target marketing strategies and demand forecast through the data mining techniques.

• Proceedings of the Korea Contents Association Conference
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• 2018.05a
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• pp.351-352
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• 2018

With the rise of the Internet era, instant messaging is playing an increasingly important role in the entire Internet market. Nowadays, most of chat softwares on the market are designed for chatting with friends. Before joining a group chat, we must be invited by your friends. On certain occasions, it is very troublesome to invite lots of people quickly if people want to build a group chat temporarily. Therefore I developed a chat application for ad-hoc groups to solve the problem. Ad-hoc groups can be used for some specific occasions for example some large meetings and gatherings. People can create a group at any time any where and other people can join the group chat fast. People that include friends and strangers all can join a group chat by scanning the QR code without adding anyone as friends.

• Journal of Advanced Navigation Technology
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• v.12 no.3
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• pp.233-238
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• 2008

Recently, network component become to follow wireless and mobile network from wired network proposed that many TCP algorithm optimized in variety environment. When TCP was created, however as it was design based on wired link, wireless link made more transmission error than wired link. Transmission errors are more frequent and may be incorrectly regarded as indications of network congestion. In this paper, it conduct how effect congestion control algorithm in Mobile ad-hoc network and compare traffic of TCP-Tahoe, TCP-Reno, TCP-New-Reno and TCP-Vegas in Mobile ad-hoc environment.

• International Journal of Internet, Broadcasting and Communication
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• v.15 no.3
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• pp.73-81
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• 2023

Globalized cities are currently showing changes due to autonomous driving (AD). It is also maximizing globalization connections in cities where autonomous mobility is as complex as AD. The purpose of this study is to reveal that cities that realize AD and mobility will grow into globalized cities. Several cities, including New York and Shanghai, have attempted and are in progress, but failed cities are increasing. Although the technology of AD and the trust of citizens are prioritized, the city that has built the city's infrastructure is expected to be a city that has succeeded in AD. This is because commercialized cities or AVs will become hubs for mobility globalization, excluding rapid climate change or AV companies, and empirical analysis has been conducted that if AVs fail in metropolitan New York due to urban complexity (population density), urban economy size (GRDP), patents, number of consumers, infrastructure public EV chargers, and road quality. It examines whether the realization of AD by region and country affects overall national innovation. As a result, even if AV succeeds in large cities such as New York, Seoul, which has a higher population density (complexity), has a negative meaning, and a more similar Tokyo has a positive meaning. It can be seen that regional research on AV should also be prioritized in large cities such as Shanghai. This means that in order for AV to be realized in each city, the construction of AI infrastructure data must be actively changed to establish globalization of cities for economic growth as autonomous mobility.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.5 no.1
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• pp.5-23
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• 2011

One inevitable problem in Ad Hoc networks is the limited battery capacity, which explains why portable devices might shut down suddenly when the power of hardware is depleted. Hence, how to decrease the power consumption is an important issue in ad hoc networks. With the development of wireless technology, mobile devices can transmit voices, surf the Internet, download entertaining stuffs, and even support some P2P applications, like sharing real-time streaming. In order to keep the quality stable, the transmission must be continuous and it is thus necessary to select some managers to coordinate all nodes in a P2P community. In addition to assigning jobs to the staffs (children) when needed, these managers (ancestors) are able to reappoint jobs in advance when employees retire. This paper proposed a mechanism called Cluster-based Power Management (CPM) to stabilize the transmissions and increase Time to Live (TTL) of mobile hosts. In our new proposed method, we establish the clusters according to every node's joining order and capability, and adjust their sleep time dynamically through three different mathematical models. Our simulation results reveal that this proposed scheme not only reduces the power consumption efficiently, but also increases the total TTLs evidently.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.17 no.11
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• pp.2924-2944
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• 2023

Alzheimer's disease (AD) is a neurological condition that is recognized as one of the primary causes of memory loss. AD currently has no cure. Therefore, the need to develop an efficient model with high precision for timely detection of the disease is very essential. When AD is detected early, treatment would be most likely successful. The most often utilized indicators for AD identification are the Mini-mental state examination (MMSE), and the clinical dementia. However, the use of these indicators as ground truth marking could be imprecise for AD detection. Researchers have proposed several computer-aided frameworks and lately, the supervised model is mostly used. In this study, we propose a novel 3D Convolutional Neural Network Multilayer Perceptron (3D CNN-MLP) based model for AD classification. The model uses Attention Mechanism to automatically extract relevant features from Magnetic Resonance Images (MRI) to generate probability maps which serves as input for the MLP classifier. Three MRI scan categories were considered, thus AD dementia patients, Mild Cognitive Impairment patients (MCI), and Normal Control (NC) or healthy patients. The performance of the model is assessed by comparing basic CNN, VGG16, DenseNet models, and other state of the art works. The models were adjusted to fit the 3D images before the comparison was done. Our model exhibited excellent classification performance, with an accuracy of 91.27% for AD and NC, 80.85% for MCI and NC, and 87.34% for AD and MCI.

• Journal of Korean Neuropsychiatric Association
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• v.53 no.3
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• pp.154-161
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• 2014

Objectives This study was conducted in order to investigate characteristics of temperament, depression, anxiety, attention, and impulsivity in adult males with Attention Deficit/Hyperactivity Disorder (ADHD) and internet addiction tendency. Methods The survey participants were 181 (121 patients and 60 healthy control subjects) adult males older than 19 years of age in Chung-Ang University Hospital and Gongju National Hospital. Subjects were divided according to ADHD with internet addiction tendency (AI), pure adults with ADHD (AD), and healthy control subjects (HC). All groups completed the Adult ADHD Scale (AADHD), Wender-Utah ADHD Rating Scale (WUADHD), Beck Depression Inventory (BDI), Beck Anxiety Inventory (BAI), the Korean Version of Young Internet Addiction Scale (YIAS-K), Barratt Impulsiveness Scale (BIS) and Temperament Character Inventory-Revised Short version for identification of relationship between ADHD and internet addiction tendency. Results AI groups were found to have higher AADHD, WUADHD, BDI, YIAS-K, and Novelty Seeking scores, compared to the AD and HC groups. The Cooperativeness score of the AI group was significantly lower than that of the AD group and HC group. The BAI and BIS scores of the AI group and AD group were significantly higher than those of the HC group. The Self-Directedness scores of the AI group and AD group were decreased, compared to the HC group. YIAS-K scores were partially related to BDI scores in the AI group. Conclusion The results of this study indicate an association of higher score of BDI with internet addiction tendency in adult patients with ADHD. Management of temperament characteristics, depression, anxiety, attention, and impulsivity may be important for adults with ADHD and internet addiction tendency.

• Journal of the Korea Society of Computer and Information
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• v.22 no.2
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• pp.75-80
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• 2017

In this study, we developed a Hedonic Model for Retargeting Advertising Based on Consumer-centerd IoT space for offering useful, interest, and interactive information to consumer. And most existing relative researches about Internet of Things but, this paper focusing on the Type of information, humor, and interactive and analyze the attitude and clicks intention to Retargeting Advertising Based on Consumer-centerd Internet of Things. According to the results, humor Advertising is positively related to attitude and click intention toward Internet of Things Advertising. But information Ad and interactive Ad affect positive to click intention. This is mean that click intention is more immediate reaction of consumers in the IoT space. Therefore Future research will be designed in a more interactive elements that can lead to positive reaction of consumers on the Internet of Things be more effective if you advertise advertising.