• Journal of Digital Convergence
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• v.16 no.10
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• pp.437-444
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• 2018

The purpose of this study is to comprehend the trend of digital experience centers' development direction and to find out the types of experiences, the characteristics of interaction and the attribute of contents by selecting 4 digital experience centers opened from 2008 to 2018. The types of digital experiences are operation, sensibility, reaction and induction based on precedent studies. The types of interaction are operation, touch and sensor. The attributes of contents are game, play and education. The result shows that the ratio of operation experiences is gradually higher. In the types of interaction, the trend is switching to operation and touch. The offer of experience activities by play type is getting higher. This study is intended to help create an empirical interaction of the content of the children's digital experience centers that will be deployed in the future.

• Defense and Technology
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• no.6 s.172
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• pp.44-51
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• 1993

전술 미사일은 전파 혹은 적외선을 사용해 목표를 탐지하고 미사일을 유도하는 호밍유도방식이 주류를 이루고 있으나, 앞으로 미사일 기술의 발전을 위해서는 센서부의 고감도, 고기능화, 방해배제능력의 향상에 주력해야 합니다 또한 급속도로 발전해 가는 직접회로 기술과 디지털 신호 처리기술을 접목시켜 센서로부터 얻어지는 신호의 고도처리와 미사일의 운동제어에 응용함으로써 운용형태와 환경변화에 유연하게 대응해야 합니다. 이와함께 미사일 개발에서 소프트웨어의 개발중요성이 더욱 제고되어야 합니다

• KIPS Transactions on Software and Data Engineering
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• v.8 no.12
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• pp.491-498
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• 2019

Digital twin is a technology that virtualizes physical objects of the real world on a computer. It is used by collecting sensor data through IoT, and using the collected data to connect physical objects and virtual objects in both directions. It has an advantage of minimizing risk by tuning an operation of virtual model through simulation and responding to varying environment by exploiting experiments in advance. Recently, artificial intelligence and machine learning technologies have been attracting attention, so that tendency to virtualize a behavior of physical objects, observe virtual models, and apply various scenarios is increasing. In particular, recognition of each robot's motion is needed to build digital twin for co-robot which is a heart of industry 4.0 factory automation. Compared with modeling based research for recognizing motion of co-robot, there are few attempts to predict motion based on sensor data. Therefore, in this paper, an experimental environment for collecting current and inertia data in co-robot to detect the motion of the robot is built, and a motion prediction model based on the collected sensor data is proposed. The proposed method classifies the co-robot's motion commands into 9 types based on joint position and uses current and inertial sensor values to predict them by accumulated learning. The data used for accumulating learning is the sensor values that are collected when the co-robot operates with margin in input parameters of the motion commands. Through this, the model is constructed to predict not only the nine movements along the same path but also the movements along the similar path. As a result of learning using SVM, the accuracy, precision, and recall factors of the model were evaluated as 97% on average.

• Journal of the Institute of Electronics Engineers of Korea SD
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• v.43 no.1 s.343
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• pp.65-70
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• 2006

An image sensor has limited dynamic range while the human eye has logarithmic response over wide range of light intensity. Although the sensor gain can be set high to identify details in darker area on the image, this results in saturation in brighter area. The gamma correction is essential to fit the human eye response. However, the digital gamma correction degrades image quality especially for darker area on the image due to the limited ADC resolution and the dynamic range. This Paper proposes a CMOS image sensor (CIS) with a nonlinear analog-to-digital converter (AU) which performs analog gamma correction. The CIS with the proposed nonlinear analog-to-digital conversion scheme was fabricated with a $0.35{\mu}m$ CMOS process. The analog gamma correction using the proposed nonlinear ADC CIS provides the 2.2dB peak-signal-to-noise-ratio(PSM) improved image qualify than conventional digital gamma correction. The PSNR of the image obtain from the digital gamma correction is 25.6dB while it is 27.8dB for analog gamma correction. The PSNR improvement over digital gamma correction is about $28.8\%$.

• Journal of Digital Convergence
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• v.10 no.10
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• pp.313-318
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• 2012

In this study, we propose a low-noise transceiver for 10GHz motion sensor. The transceiver presented here has a circuit(Hittite HMC908LC5) that is composed of a two way-$0^{\circ}$ power splitter(the 1:2 block) and a $90^{\circ}$ Hybrid. The noise reduction circuit utilizes an LNA followed by an image reject mixer which is driven by an LO buffer amplifier. A modeling and analysis have been pursued using CST MWS. A prototype sensor was manufactured to measure the performance and experimental results show that the proposed sensor is good enough to use for a accurate motion sensor.

• Journal of Digital Convergence
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• v.14 no.10
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• pp.287-293
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• 2016

Wireless sensor networks (WSNs) have many applications and are deployed in a wide variety of areas. They are often deployed in potentially adverse or even hostile environment so that there are concerns on security issues in these WSNs. Recently, an anonymous user authentication and key agreement scheme (AUAKAS) was proposed based on symmetric cryptosystem in WSNs. It is claimed in AUAKAS that it assures security against different types of attacks including impersonation attacks. However, this paper shows that AUAKAS does not cope from user impersonation attack and gateway impersonation attack from the legally registered user on the gateway. The security analysis could guide the required features of the security scheme to be satisfied.

• Journal of Digital Contents Society
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• v.18 no.7
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• pp.1451-1456
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• 2017

In this research we discuss an integrated actuator-control system for advanced control of a smart Shape Memory Alloy (SMA) actuator. Toward this goal, we designed and fabricated an actuator-control module combining two SMA actuating units with a single-chip microprocessor, two different sensing elements, and an actuator driver. In our proposed system, sensing elements include a 6-axis single-chip motion sensor for orientation measurement and a circuit for resistance measurement of SMA wires. We experimentally verified our proposed actuator-control system using actuator driving, sensor data readings, and communication tests.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2013.05a
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• pp.911-913
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• 2013

The user's context awareness is important to the reliability of sensors data. The sensor data is constantly change to external temp, internal& external environment and vibration. This noise environment is affecting that the data collected information from sensors. Of course this method of digital filter and inference algorithm specifically request for the use of ripple noise and action inference. In this paper, experiment was a comparison of the KF(Kalman Filter) and WMAF(Weight Moving Average Filter) for noise decrease and distortion prevention according to user behavior. And, we compared the EWDF(Extended Weight Dual Filter) with several filer. In an experiment, in contrast to other filter, the proposed filter is robust in a noise-environment.

• Journal of Digital Convergence
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• v.17 no.10
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• pp.243-249
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• 2019

In this paper, we have developed a device to reduce the standby power consumption that is unnecessarily consumed in unused electrical appliances. The Doppler sensor is used to automatically power off and power off the outlet depending on whether or not a person is present near the outlet. The Doppler sensor uses a coaxial cable trap to design a transmitting antenna and emits a 10 GHz band RF signal and receives a reflected wave signal whose wavelength is reflected from the target object to the receiver to detect an object and recognize human approach. It automatically cuts off and restores standby power to prevent unnecessary power consumption, saving energy and developing a standby power automatic shutdown and recovery device that can prevent the risk of large fires caused by leakage current.

• Journal of Digital Convergence
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• v.13 no.2
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• pp.127-133
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• 2015

In order for location information to deliver the collected information, it needs Sensor Nodes in an environment of Sensor Network. Each sensor sends data to a base station through the process of routing in a wireless sensor network environment. Therefore, Offering accurate location information is very important in a wireless sensor network environment. Most of existed routing methods save all the informations of nodes at the area of 1-hop. In order to save these informations, unnecessary wasted energy and traffics are generated. Routing Protocol proposed in this paper doesn't save node's location information, and doesn't exchange any periodic location information to reduce wasted energy. It includes transmission range of source nodes and nodes with the location information, however it doesn't include any nodes' routing near 1-hope distance.