• Smart Media Journal
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• v.8 no.1
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• pp.74-81
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• 2019

Recently, machine learning technology has had a significant impact on society, particularly in the medical, manufacturing, marketing, finance, broadcasting, and agricultural aspects of human lives. In this paper, we study how to apply machine learning techniques to foods, which have the greatest influence on the human survival. In the field of Smart Farm, which integrates the Internet of Things (IoT) technology into agriculture, we focus on optimizing the crop growth environment by monitoring the growth environment in real time. KT Smart Farm Solution 2.0 has adopted machine learning to optimize temperature and humidity in the greenhouse. Most existing smart farm businesses mainly focus on controlling the growth environment and improving productivity. On the other hand, in this study, we are studying how to apply machine learning with respect to harvest time so that we will be able to harvest fruits of the highest quality and ship them at an excellent cost. In order to apply machine learning techniques to the field of smart farms, it is important to acquire abundant voluminous data. Therefore, to apply accurate machine learning technology, it is necessary to continuously collect large data. Therefore, the color, value, internal temperature, and moisture of greenhouse-grown fruits are collected and secured in real time using color, weight, and temperature/humidity sensors. The proposed FPSML provides an architecture that can be used repeatedly for a similar fruit crop. It allows for a more accurate harvest time as massive data is accumulated continuously.

• Archives of design research
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• v.13 no.4
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• pp.11-21
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• 2000

Due to the explosive growth of the internet, terminology like "information society" and "virtual space" is frequently used, but often in a confusing manner. Some Social theorists and many people are fascinated by "information" and "media" as key characteristics of the contemporary world and rely on the unproven opinion that "Knowledge is a source of value and information moves the world". In this regard, Boudllian defines contemporary culture as a culture of signs and insists that we are surrounded by signs and forms of meaning. There isn't anything behind the signs but signs only exsist, so we cannot escaped from its inauthenticity and consider it improper to insist on it. If people can understand that signs are just simulation of reality, that would be alright. But in fact anything cannot be alright.In this matter Boudllian's conclusion is that we produce images in bulk which are not worthy seeing. Today we reach the conclusion that most images are the letter(character) image itself which shows nothing special.Consequently, this kind of world is a postmodern-world that seems meaningless but has signs to experience and enjoy, many examples of which are shown in the media, such as the internet. We can get to the conclusion that the audience neither sees nor hears anything, but they just can experience many interesting things which characterize the present age. The purpose of this research is to help you to understand current design philosophy and the direction of media while considering both a positive social phenomenon about the new design paradigm of information and media, as well as critical thinking about it.

• Journal of Korea Multimedia Society
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• v.20 no.7
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• pp.1054-1064
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• 2017

With the development of cloud computing, internet technology and Internet of Things(IoT), most of applications are being smarter and changing from native application to SaaS (Software as a Service) application. New versatile SaaS applications are being released through various app portals (e.g. appstore, googleplay, T-Store, and so on). However, a user has a difficulty in searching, choosing an suitable application to him. It is also hard for him to know what functions of each SaaS application are useful. He wants to be recommended something inter-operated SaaS service according to his personality and his situation. Therefore, this paper presents a way of making mash-up of SaaS applications in order to provide the most convenient inter-operated SaaS service to user. This paper also presents SaaS Application Mash-up Framework (SAMF), complex context and rule matrix. The proposed SAMF is a main system that totally manage SaaS application mash-up service. Complex context and rule matrix are key components in order to recommend what SaaS applications are needed and how those SaaS applications are inter-operated. The SAMF collects complex contexts (User Description, Status Description, SaaS Service Description) in order to choose which SaaS applications are useful, analyze what functions to use, how to mash-up.

• Journal of Broadcast Engineering
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• v.22 no.1
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• pp.107-117
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• 2017

Recently, IoT applications are being deployed in Smart TVs, and these IoT applications are using smart TVs as application platforms rather than broadcast platforms. With the advent of Hybrid broadcast technologies, now it becomes available to develop IoT applications which are coupled to the broadcast information. However, the existing IoT services are not suitable for Hybrid broadcast application since they are built on cloud and require various protocol implementations. In this paper, a Fog Computing-based architecture for hybrid broadcast application is proposed. Instead of accessing IoT services from hybrid broadcast app directly, the proposed architecture places Fog Applet Server between them and distribute loads of hybrid broadcast app to the Fog Applet. The proposed architecture is implemented as a service to control IoT device with hybrid application.

• International Journal of Computer Science & Network Security
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• v.23 no.1
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• pp.112-119
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• 2023

Traditionally used for networking computers and communications, the Internet has been evolving from the beginning. Internet is the backbone for many things on the web including social media. The concept of social networking which started in the early 1990s has also been growing with the internet. Social Networking Sites (SNSs) sprung and stayed back to an important element of internet usage mainly due to the services or provisions they allow on the web. Twitter and Facebook have become the primary means by which most individuals keep in touch with others and carry on substantive conversations. These sites allow the posting of photos, videos and support audio and video storage on the sites which can be shared amongst users. Although an attractive option, these provisions have also culminated in issues for these sites like posting offensive material. Though not always, users of SNSs have their share in promoting hate by their words or speeches which is difficult to be curtailed after being uploaded in the media. Hence, this article outlines a process for extracting user reviews from the Twitter corpus in order to identify instances of hate speech. Through the use of MPCA (Modified Principal Component Analysis) and ECNN, we are able to identify instances of hate speech in the text (Enhanced Convolutional Neural Network). With the use of NLP, a fully autonomous system for assessing syntax and meaning can be established (NLP). There is a strong emphasis on pre-processing, feature extraction, and classification. Cleansing the text by removing extra spaces, punctuation, and stop words is what normalization is all about. In the process of extracting features, these features that have already been processed are used. During the feature extraction process, the MPCA algorithm is used. It takes a set of related features and pulls out the ones that tell us the most about the dataset we give itThe proposed categorization method is then put forth as a means of detecting instances of hate speech or abusive language. It is argued that ECNN is superior to other methods for identifying hateful content online. It can take in massive amounts of data and quickly return accurate results, especially for larger datasets. As a result, the proposed MPCA+ECNN algorithm improves not only the F-measure values, but also the accuracy, precision, and recall.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2014.10a
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• pp.259-263
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• 2014

In the ICT field, one among the remarkable issue of in 2014 is the "Wear computer", that is, the opening of "Wearable Device" age. The Samsung galaxy gear and products like Google glass and Apple watch are done as the wearable device. According to the definition of MIT Media Lab, the wearable device adheres to the body and is included till the application which names all things doing the computing action and can perform the partial computing function. And the wearable device is one brain. If the wearable device is popularized, it will be changed many things. First of all, 2 hands become free. My body is due to be connected to 24 hours Internet. It is not level that it adheres the Smart phone or device to the body and the brain role in which the device is connected outside directly, the human body is done. In this paper, the related companies analyze the technical elements of this wearable device especially.

• Journal of the Korea Society of Computer and Information
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• v.23 no.9
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• pp.113-122
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• 2018

In this paper, IoT(Internet of things) technology, which is the core of the 4th industrial revolution, was applied to the study of reduction of consumption current. The IoT is a sensor that collects data, a sensor communication, a gateway that processes and stores the collected data. Data application of IoT technology is applied to smart home, smart city, healthcare, smart factory, etc. and it needs to be applied to various industrial fields. By sensing the location of the sensor device, the specific functions of the gateway and the platform are turned ON and OFF to reduce the consumption current of the equipment during the OFF period. When the sensor device accesses the gateway, the specific function of the gateway is turned ON and When the device is separated from the gateway, it senses the sensitivity of the wireless signal and automatically turns off the certain functions. As a resurt, it has reduced the consumption of current. In this paper, we propose a novel system for detecting the location of sensor devices by applying IoT technology. The system implementation is realized by software based, and defines the requirements for the implementation of the sensor device gateway. The gateway automatically detects the location, movement of the device and performs necessary functions. Finally verifies the automatic detection performance of the gateway according to the location of the device. It will contribute greatly to the development of the smart city and office.

• Korean Journal of Heritage: History & Science
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• v.35
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• pp.220-235
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• 2002

Ryuseo(類書) is a type of traditional books and seems like today's encyclopedia. For compilation of this book, the contents with good ideas and the improvement in method of editing are very important. The process of development, basic form, reception and transformation, the method of succession in today were investigated with the traditional Ryuseo through this study. In Korea, the publishing of this book in the beginning was just republishing of Chinese Ryuseo. During the reign of king Sunjo of Chosun dynasty, Ryuseo for Korean, "Daedongeunbugunok(大東韻府群玉)" was published. Also the basic form of Ryuseo had to be changed in this period. Kimyuk increased practical use of this book by summarizing "Samunryuchui(事文類聚)". The first complete Korean Ryuseo was "Kosachalyo(故事撮要)" that was published in 1554, king Myungjong. In the book was included contents about diplomacy and daily life by Eosukkwun. In 1771, king Youngjo, "Kosashinseo(故事新書)" was published. It had more information about actual life than Kosachalyo. Ryuseo should be considered with two things when it is read by modern readers. One is the development of material for study and another is to ensure the readers. So Ryuseo could be a good basic material for developing contents of internet. Reproduction of this book by new one should be considered with increasing its function. Because reforming classical material by digital one is necessary for daily life in today.

• Journal of Communications and Networks
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• v.18 no.5
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• pp.699-712
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• 2016

Recently, greedy algorithm has received much attention as a cost-effective means to reconstruct the sparse signals from compressed measurements. Much of previous work has focused on the investigation of a single candidate to identify the support (index set of nonzero elements) of the sparse signals. Well-known drawback of the greedy approach is that the chosen candidate is often not the optimal solution due to the myopic decision in each iteration. In this paper, we propose a tree search based sparse signal recovery algorithm referred to as the tree search matching pursuit (TSMP). Two key ingredients of the proposed TSMP algorithm to control the computational complexity are the pre-selection to put a restriction on columns of the sensing matrix to be investigated and the tree pruning to eliminate unpromising paths from the search tree. In numerical simulations of Internet of Things (IoT) environments, it is shown that TSMP outperforms conventional schemes by a large margin.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.24 no.10
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• pp.1249-1254
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• 2020

As the market for life friendly ICT (Information and Communication Technologies) services has grown up, high tech elevator with IoT (Internet of Things), a key area of the fourth industry, have become an indispensable part of life. Existing elevators are composed of up and down buttons to conveniently climb up and down high rise buildings, but there is a small inconvenience that everyone experiences depending on the characteristics of the user's composition, types of use, frequency, etc. Existing elevators are automatically closed if there are no people within the range of sensors, but they are inconvenient for the passengers with disabilities to carry luggage or to use. In this paper, the smart button, a hardware firmware device, was designed to relieve user inconvenience by opening the elevator for a certain period of time considering the boarding time of the passengers.