• Smart Media Journal
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• v.3 no.3
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• pp.20-25
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• 2014

This research proposes a concept of multi-aspect Social IoT platform that enables human, machine and service to communicate smoothly among them, as well as a means of an automatic process for transforming exiting domain knowledge representation to generic ontology representation used in the platform. Current research focuses on building a machine-based service interoperability using sensor ontology and device ontology. However, to the best of our knowledge, the research on building a semantic model reflecting multi-aspects among human, machine, and service seems to be very insufficient. Therefor, in the research we first build a multi-aspect ontology schema to transform the representation used in each domain as a part of IoT into ontology-based representation, and then develop an automatic process of generating multi-aspect IoT ontology from the domain knowledge based on the schema.

• Journal of the Korea Convergence Society
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• v.7 no.4
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• pp.33-38
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• 2016

DDoS attack has been continuously utilized that caused the excessively large amount of traffic that network bandwidth or server was unable to deal with paralyzing the service. Most of the people regard NTP as the biggest cause of DDoS. However, according to recently executed DDoS attack, there have been many SSDP attack in the use of amplified technique. According to characteristics of SSDP, there is no connection for making a forgery of source IP address and amplified resources feasible. Therefore, it is frequently used for attack. Especially, as it is mostly used as a protocol for causing DDoS attack on IoT devices that constitute smart home including a wireless router, media server, webcam, smart TV, and network printer. Hereupon, it is anticipated for servers of attacks to gradually increase. This might cause a serious threat to major information of human lives, major government bodies, and company system as well as on IoT devices. This study is intended to identify DDoS attack techniques in the use of weakness of SSDP protocol occurring in IoT devices and attacking scenario and counter-measures on them.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2017.05a
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• pp.258-259
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• 2017

Recently, as science and technology is very growing, wire and wireless communication is merged and interconnected. Therefore, advanced internet technology allow all kinds of communication to integrate with heterogeneous device and sensors. The representative example is smart home network based on internet of things. Communication surroundings under IoT services are more complex. Conventional encryption techniques can't provide to IoT application because of its limited resources such as small memory capacity and low computing power. In this paper, we analyzed authentication procedure between home gateway and node in sensor under smart home network.

• Journal of Korea Multimedia Society
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• v.23 no.3
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• pp.447-459
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• 2020

The Internet of Things(IoT) paradigm is flourishing strenuously for the last two decades. Researchers around the globe have their dreams to transmute every real-world object to the virtual object. Consequently, IoT devices are escalating exponentially. The abrupt evolution of these IoT devices has caused a major challenge i.e. object classification. In order to classify devices comprehensively and accurately, this paper proposes a context-aware based multi-classification model for devices, which classifies the smart devices according to people's contexts. However, the classification features of contextual data of different contexts are difficult to extract. The deep learning algorithm has the capability to solve this problem. This paper proposes a context-aware based multi-classification model of devices, which classifies the smart devices according to people's contexts.

• Smart Media Journal
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• v.5 no.2
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• pp.24-32
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• 2016

Recently, the development of electronic teaching materials and the demand of digital learners have led the needs on the education contents that replace learning from character information and the change of an information design method for this. Chinese character education in the traditional schooling mainly focuses on writing and memorization (semantic memory). This way that the stories do not exist has brought the learners' recognition that Chinese character is difficult to learn. Meanwhile, for a language study such as English, cross-media development between printed materials and audio-visual materials has been actively introduced. The method that extends episode memories along with memorization through a story is widely used. Therefore, this content suggests a prototype, which is broken away from an existing way of learning Chinese character that mainly focuses on writing, one sided instruction and information cramming. This makes learners learn through a story from printed materials and animation. Furthermore, it suggests a method that extends episode memories through Chinese education contents based on IoT explaining the principle of Chinese character by combining IT technology (information and communications, IoT) and education contents on block toys.

• Proceedings of the Korean Society of Computer Information Conference
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• 2021.01a
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• pp.309-312
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• 2021

본 연구에서는 약 관리를 효율적으로 할 수 있는 IoT 기반의 스마트 약상자를 개발하였다. 약을 정기적으로 먹어야 하는 사용자에 대해 약 복용 현황 및 남아 있는 약의 상황 등을 모니터링 하여 효과적으로 관리할 수 있다. 이를 위해 약을 보관할 수 있는 상자를 3D 프린터를 이용하여 제작하였으며, 사용자의 복약 현황을 나타내주는 LCD를 전면에 배치했다. 또한, 약상자 내부에 있는 서보모터를 활용하여 정해진 복용 시간에 정해진 양만큼의 약을 제공할 수 있도록 하였다. 제안하는 스마트 약상자를 이용하여 사용자의 복약을 효율적으로 관리할 수 있으며 복약 순응도를 높이고 약물의 오남용을 막는데 도움을 줄 수 있다.

• Journal of Advanced Navigation Technology
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• v.20 no.6
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• pp.562-567
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• 2016

IoT is attracting attention as the development of the Internet and the spread of smart devices are rapidly increasing worldwide. As IoT is integrated into everyday life, the market is getting bigger. So, experts predict that IoT devices will grow to more than one trillion in a decade. Techniques related to IoT are also being developed steadily, and studies are underway to develop IoT in various fields. However, vendors launching IoT services do not interact with data from other platforms. Therefore, it is limited to growing into a big market by facing the obstacle called the silo phenomenon. To solve this problem, web technology attracts attention. Web technology can interact with data regardless of platform, and it can not only develop various services using the data, but also reduce unnecessary costs for developers. In this paper, we have studied a web - based open IoT system that can transmit data independently in real time to the IoT platform.

• Journal of KIISE:Software and Applications
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• v.41 no.8
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• pp.545-556
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• 2014

Internet of Things (IoT), one of the emerging research areas, is the computing paradigm where various things connect to the network and cooperate with their neighbors to reach common goals. Computing with IoT devices opens up a new array of opportunities for providing value-added smart services and applications to end users. That is, IoT devices play an important role of providing useful services to the users. However, the states of IoT devices are dynamically changed at runtime, which come from their mobility, network connectivity, and a battery drain problem. This dynamism results in difficulties in managing these IoT devices. In this paper, we propose a framework to manage those IoT devices with dynamism. Hence, we first derive issues from IoT devices' dynamism. And, we define a set of requirements to manage the IoT devices and present a framework to manage the device dynamism. The framework is equipped by a device discovery method, a device status monitoring method, a device selection and connection method, and a device replacement method. Finally, we verify the feasibility and effectiveness of the framework through experiments.

• Journal of KIISE
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• v.42 no.8
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• pp.1031-1038
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• 2015

The recent emergence of smart phones, wearable devices, and even the IoT concept made it possible for various objects to interact one another anytime and anywhere. Among many of such smart services, a smart home service typically requires a large number of sensors to recognize the residents' activities. For this reason, the ideas on activity recognition using the data obtained from those sensors are actively discussed and studied these days. Furthermore, plenty of sensors are installed in order to recognize activities and analyze their patterns via data mining techniques. However, if many of these sensors should be installed for IoT smart home service, it raises the issue of cost and energy consumption. In this paper, we proposed a new method for reducing the number of sensors for activity recognition in a smart environment, which utilizes the principal component analysis and clustering techniques, and also show the effect of improvement in terms of the activity recognition by the proposed method.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2018.05a
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• pp.296-297
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• 2018

In recent years, as the number of death in accidents have increased in the working environment, the safety issue has emerged as an important social issue. Despite efforts to reduce safety accidents through many existing safety-related policies and systems, accident prevention is limited. Accident prevention services using IoT technology have been commercialized recently and the effect is very high. In this study, IOT technology is used to investigate the latest cases of reducing death accidents in the work environment.