• Journal of KIISE
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• v.41 no.9
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• pp.686-698
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• 2014

Recently, large-scale streaming sensor data have emerged due to explosive supply of smart phones, diffusion of IoT and Cloud computing technology, and generalization of IoT devices. Also, researches on combination of semantic web technology are being actively pushed forward by increasing of requirements for creating new value of data through data sharing and mash-up in large-scale environments. However, we are faced with big issues due to large-scale and streaming data in the inference field for creating a new knowledge. For this reason, we propose the RDFS rule based parallel reasoning scheme to service by processing large-scale streaming sensor data with the semantic web technology. In the proposed scheme, we run in parallel each job of Rete network algorithm, the existing rule inference algorithm and sharing data using the HBase, a hadoop database, as a public storage. To achieve this, we implement our system and evaluate performance through the AWS data of the weather center as large-scale streaming sensor data.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.21 no.1
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• pp.53-60
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• 2017

This paper is to design and implement the drone that supports a wideband multimedia communication and a long-range to save people in maritime. The drone is an Unnamed Aerial Vehicle (UAV) that is controlled by a radio wave not by people boarding the machine. We use the drone to respond quickly to the boating accident. To develop a smart drone for the high speed seamless video streaming in a long-range maritime, a necessary techniques are hardware design techniques that design structure of a drone, controlling techniques that operate a drone and communication techniques that control a drone in a long distance. In this paper, the limitations and techniques to design and implement the structure of drone supporting wideband multimedia communication for long-range maritime are explained. By expanding this communication drone network, it is aimed at improving utility of a drone.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2015.05a
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• pp.63-66
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• 2015

As smart-phones become popular, mobile data traffic has been dramatically increasing and intensive researches on the next-generation mobile communication network is in progress to meet the increasing demand for mobile data traffic. In particular, heterogeneous network (HetNet) is attracting much interest because it can significantly enhance the network capacity by increasing the spatial resue with macro and small cells. In the HetNet, we have several problems such as load imbalance and interference because of the difference in transmit power between macro and small cells and cell range expansion (CRE) can mitigate the problems. In this paper, we propose a new cell selection scheme with adaptive cell range expansion bias (CREB) for ultra dense HetNet and we analyze the performance of the proposed scheme in terms of average cell transmission rate through system-level simulations and compare it with those of other schemes.

• Journal of the Korea Society of Computer and Information
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• v.16 no.2
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• pp.121-129
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• 2011

With advances in wireless networks and advent of powerful mobile devices such as smart phones, the demand for mobile IPTV services has been increasing. It is essential to minimize the energy consumption of mobile devices because their battery capacity is limited. In this paper, we therefore propose a new streaming structure in P2P-based mobile IPTV systems to minimize the energy consumption of mobile peers using agent peers. Agent peers can decrease the energy consumption of mobile peers significantly by performing streaming functionality and exchanging control messages for joining and leaving overlay networks in place of corresponding mobile peers. Finally, by simulation experiments using an energy model, we show that our proposed streaming structure can increase the lifetime of mobile peers using agent peers.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2012.10a
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• pp.757-760
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• 2012

Cloud storage system that cloud computing providers provides large amounts of data storage and processing of cloud computing is a key component. Large vendors (such as Facebook, YouTube, Google) in the mass sending of data through the network quickly and easily share photos, videos, documents, etc. from heterogeneous devices, such as tablets, smartphones, and the data that is stored in the cloud storage using was approached. At time, growth and development of the globally data, the cloud storage business model emerging is getting. Analysis new network storage cloud storage services concepts and technologies, including data manipulation, storage virtualization, data replication and duplication, security, cloud computing core.

• KIPS Transactions on Computer and Communication Systems
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• v.7 no.3
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• pp.73-80
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• 2018

Due to the popularity of smartphones and the simplification of financial services, the number of mobile financial services is increasing. However, the security keypads developed for existing financial services are susceptible to probability analysis attacks and have security vulnerabilities. In this paper, we propose and implement a security keypad based on dual touch. Prior to the proposal, we examined the existing types of security keypads used in the mobile banking and mobile payment systems of Korean mobile financial businesses and analyzed the vulnerabilities. In addition, we compared the security of the proposed dual touch keypad as well as existing keypads using the authentication framework and the existing keypad attack types (Brute Force Attack, Smudge Attack, Key Logging Attack, and Shoulder Surfing Attack, Joseph Bonneau). Based on the results, we can confirm that the proposed security keypad with dual touch presented in this paper shows a high level of security. The security keypad with dual touch can provide more secure financial services, and it can be applied to other mobile services to enhance their security.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.31 no.10B
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• pp.883-890
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• 2006

The study of sensor network database is beginning to liven up as we are interested in Ubiquitous Computing technology in hardware, communication, database and so on. Especially, as new smart sensors have capabilities of real-time information gathering and analysis of each sensor node, data processing becomes an important issue in Ubiquitous Computing. In thesis, we have applied TinyDB(query processing system) to carry sensor node with line tracer which can follow the fixed path. After we gathered data around path, we have processed data in TinyDB GUI, gathered data, displayed data on a web server. Also we have a web browser on an embedded board for convenient user interface and implemented touch screen such that users can operate with a finger.

• Journal of KIISE
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• v.43 no.4
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• pp.460-469
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• 2016

Internet of Things (IoT) is an environment where various devices are connected to each other via a wired/wireless network and where the devices gather, process, exchange, and share information. Some of the most important types of IoT devices are mobile IoT devices such as smartphones. These devices provide various high-performance services to users but cannot be supplied with power all the time; therefore, power management appropriate to a given IoT environment is necessary. Power management of mobile IoT devices involves complex relationships between various entities such as application processors (APs), HW modules inside/outside AP, Operating System (OS), platforms, and applications; a method is therefore needed to systematically analyze and manage these relationships. In addition, variabilities related to power management such as various policies, operational environments, and algorithms need to be analyzed and applied to power management development. In this paper, engineering principles and a method based on them are presented in order to address these challenges and support systematic development of IoT device power management. Power management of connected helmet systems was used to validate the feasibility of the proposed method.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.17 no.2
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• pp.211-218
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• 2017

In this study, we implemented IoT Sensor Network using Mobius Platform and implemented four kinds of Z-wave sensors applicable to smart home service to verify its performance. The 12 common service functions (CSF) provided by Mobius enable application services including status monitoring of sensors to be implemented quickly. The standard service procedures and protocols have eliminated the design process of the system and shortened the meeting time for establishing protocol between application software developer, gateway developer and sensor developer, and discussion time for adjustment of opinion. We confirmed that the application service based on the implemented sensor network and the implementation of IoT sensor can shorten the development schedule, and confirmed that most of the products purchased in the market can be accommodated without change. We hope that such speediness and openness will be able to meet the demands of various services and contribute to expanding services and creating new markets.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.41 no.2
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• pp.178-188
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• 2016

The traffic in the wired and wireless networks has increased exponentially because of increase of smart phone and improvement of PC performance. Multimedia services and file transmission such as Facebook, Youtube occupy a large part of the traffic. CDN is a technique that duplicates the contents on a remote web server of content provider to local CDN servers near clients and chooses the optimal CDN server for providing the content to the client in the event of a content request. In this paper, the content request message between CDN servers and the client used the SCRP algorithm utilizing the MST algorithm and the traffic throughput was optimized. The average response time for the content request is reduced by employing HC_LRU cache algorithm that improves the cache hit ratio. The proposed SCRP and HC_LRU algorithm may build a scalable content delivery network system that efficiently utilizes network resources, achieves traffic localization and prevents bottlenecks.