• Journal of Digital Convergence
• /
• v.19 no.6
• /
• pp.1-9
• /
• 2021

Artificial intelligence (AI) devices are rapidly emerging as a core platform of next-generation information and communication technology (ICT), this study investigated consumer usage behavior and user experience through AI devices that are widely applied to consumers' daily lives. To this end, data was collected from 600 consumers with experience in using AI devices were derived to recognize the attributes and behavior of AI devices. The analysis results are as follows. First, music listening was the most used among various attributes and it was found that simple functions such as providing weather information were usefully recognized. Second, the main devices used by AI device users were identified as AI speakers, smartphone, PC and laptops. Third, associative images of AI devices appeared in the order of fun, useful, novel, smart, innovative, and friendly. Therefore, practical implications are suggested to contribute to provision of user services using AI devices in the future by analyzing usage behaviors that reflect the characteristics of AI devices.

• The Journal of the Korea institute of electronic communication sciences
• /
• v.10 no.7
• /
• pp.813-818
• /
• 2015

IoT is the network of physical objects or things embedded with electronics, software, sensors and connectivity to enable it to achieve greater value and service by exchanging data with the manufacturer, operator or other connected devices. Until now many researches have been studied for centering keyword for detecting emerging technology of future and scientometric analysis among the papers. This paper propose searching method of emerging technology for the IOT (internet of things) which is recently interesting area via dynamic analysis for keyword mapping.

• Proceedings of the Korean Vacuum Society Conference
• /
• 2016.02a
• /
• pp.100-100
• /
• 2016

Among various two-dimensional (2D) materials, 2D semiconductors and insulators have attracted a great deal of interest from nanoscience community beyond graphene, due to their attractive and unique properties. Such excellent characteristics have triggered highly active researches on 2D materials, such as hexagonal boron nitride (hBN), molybdenum disulfide (MoS2), and tungsten diselenide (WSe2). New physics observed in 2D semiconductors allow for development of new-concept devices. Especially, these emerging 2D materials are promising candidates for flexible and transparent electronics. Recently, van der Waals heterostructures (vdWH) have been achieved by putting these 2D materials onto another, in the similar way to build Lego blocks. This enables us to investigate intrinsic physical properties of atomically-sharp heterostructure interfaces and fabricate high performance optoelectronic devices for advanced applications. In this talk, fundamental properties of various 2D materials will be introduced, including growth technique and influence of defects on properties of 2D materials. We also fabricate high performance electronic/optoelectronic devices of vdWH, such as transistors, memories, and solar cells. The device platform based on van der Waals heterostructures show huge improvement of devices performance, high stability and transparency/flexibility due to unique properties of 2D materials and ultra-sharp heterointerfaces. Our work paves a new way toward future advanced electronics based on 2D materials.

• Electronics and Telecommunications Trends
• /
• v.34 no.5
• /
• pp.81-90
• /
• 2019

The data rate for transmission through fiber-optic cables has increased to 400 Gbps in single-wavelength channels. However, speeds up to 1 Tbps are required now to meet the ever-increasing bandwidth demand driven by the diverse requirements of contemporary applications for high-quality on-demand video streaming, cloud services, various social media, and emerging 5G-enabled applications. Because the data rates of the per-channel optical interfaces depend strongly on the operational speed of the optoelectronic devices used in optical transceivers, ultrahigh-speed photonic devices and components, and eventually, chip-level transmitter and receiver technologies, are essentially required to realize futuristic optical transceivers with data rates of 1 Tbps and beyond. In this paper, we review the recent progress achieved in high-speed optoelectronic devices, such as laser diodes, optical modulators, photodiodes, and the transmitter-receiver optical subassembly for optical transceivers in data centers and in metro/long-haul transmission.

• International Journal of Computer Science & Network Security
• /
• v.21 no.11
• /
• pp.354-362
• /
• 2021

The device to device (D2D) communication is an important and emerging area for future cellular networks. It is concerned about all aspect of secure data transmission between end devices along with originality of the data. In this paradigm, the major concerns are about how keys are delivered between the devices when the devices require the cryptographic keys. Another major concern is how effectively the receiver device verifies the data sent by the sender device which means that the receiver checks the originality of the data. In order to fulfill these requirements, the proposed system able to derive a cryptographic key using a single secret key and these derived keys are securely transmitted to the intended receiver with procedure called mutual authentication. Initially, derived keys are computed by applying robust procedure so that any adversary feel difficulties for cracking the keys. The experimental results shows that both sender and receiver can identify themselves and receiver device will decrypt the data only after verifying the originality of the data. Only the devices which are mutually authenticated each other can interchange the data so that entry of the intruder node at any stage is not possible.

• Journal of KIISE:Software and Applications
• /
• v.41 no.8
• /
• pp.545-556
• /
• 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 the Korea Institute of Information and Communication Engineering
• /
• v.10 no.6
• /
• pp.1101-1105
• /
• 2006

Ubiquitous computing network comprises a variety of distributed service devices. Today Web services technology enables the heterogeneous devices to provide their own services and interact with each other via well-defined Internet protocol. Nevertheless, service devices in ubiquitous environments require more event-driven, autonomous interaction beyond rather passive service-oriented architecture of the present time. This paper presents an ECA (Event-Condition-Action) rule description language in an attempt to support capability for autonomous interactions among service-oriented devices in ubiquitous computing network. Specifically, the proposed WS-ECA is an XML-based ECA rule description language for web service-enabled devices. The rules are embedded in distributed devices which invoke appropriate services in the network if the rules are triggered by some internal or external events. The presented ECA-based device coordination approach is expected to facilitate seamless inter-operation among the web service-enabled devices in the emerging ubiquitous computing environment.

• Journal of the Korean Electrochemical Society
• /
• v.17 no.3
• /
• pp.139-148
• /
• 2014

Electrochemical energy-storage devices such as batteries and supercapacitors are important components in emerging portable electronic device, electric vehicle, and clean energy storage and supply technologies. This review describes recent progress in the development of nanostructured electrodes, the main component of the electrochemical energy-storage device, prepared by layer-by-layer (LbL) electrostatic assembly. Major advantages associated with, and challenges to, the fabrication of LbL electrodes, as well as the future outlook for expanding the application of LbL techniques, are discussed.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.5 no.2
• /
• pp.359-373
• /
• 2011

Demand for rich media services is rapidly increasing and, as a result, several technologies are competing to deliver rich media services to mobile, resource-constrained devices. In this paper, we explore the existing rich media technologies and analyze their key features. In addition, in order to accommodate the new requirements introduced by emerging service models, such as service convergence, these technologies must evolve from their current status. We examine how the community intends to achieve this.

• International Journal of Advanced Culture Technology
• /
• v.10 no.2
• /
• pp.246-251
• /
• 2022

As the number of data and devices explodes, centralized data processing and AI analysis have limitations due to the load on the network and cloud. On-device AI technology can provide intelligent services without overloading the network and cloud because the device itself performs AI models. Accordingly, the need for on-device AI technology is emerging. Many smartphones are equipped with On-Device AI technology to support the use of related functions. In this paper, we compare software tools that implement On-Device AI.