• Journal of Institute of Control, Robotics and Systems
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• v.14 no.10
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• pp.1073-1080
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• 2008

A GPS receiver platform has been developed to design an interference rejection filter and the platform is also able to evaluate performance of those filters. This platform consists of RF/IF part, data acquisition part and PC part. The RF/IF part converts RF signals to IF signals, the data acquisition part transmits the IF signals to PC using USB device. The PC part rejects the interferences with a filter and then it does navigation with GPS software receiver. The RF/IF part and data acquisition part had been validated with signal spectrum, and the PC part had been validated with the navigation results of GPS receiver. Finally, the entire platform including interference rejection filter has been confirmed with the navigation results in case that the GPS signals and interference entered this platform. As a result, the GPS receiver operated well against interference with 45dB JSR.

• Journal of Distribution Science
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• v.22 no.5
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• pp.1-10
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• 2024

Purpose: The study aims to identify the key factors that influence consumers' propensity to utilize community group buying platforms, employing the Technology Acceptance Model (TAM) as a theoretical framework. Research design, data and methodology: The research design involved selecting 192 consumers with experience in community group buying and analyzing the data statistically using SPSS 23.0. Hypotheses were tested utilizing the structural equation modeling software AMOS. Results: Key findings indicate that the attributes of products offered on community group buying platforms significantly enhance consumers' perceptions of usefulness and ease of use. Furthermore, these perceptions directly correlate with consumers' intentionsto use the platform. Conclusions: Thisresearch, grounded in the TAM, delves into how external factors of the community group buying platform impact perceived usefulness and ease of use, and subsequently, how these perceptions affect consumers' purchasing intentions. Based on these insights, several recommendations can be proposed for the platform's development: The platform should strive to enhance product quality and cultivate a positive reputation. Strategic promotional initiatives should be designed to attract new users while retaining existing customers. Continuous optimization of platform functionalities is necessary to augment users' perception of usefulness. These measures are anticipated to foster user engagement, increase adoption rates, and contribute to the overall success and sustainability of the community group buying platform.

• Journal of Korea Multimedia Society
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• v.10 no.1
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• pp.66-73
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• 2007

SDR technology is a fundamental wireless access technology that combines and accommodates multiple wireless communication standards in one transceiver system through just modifying software using modular communication platforms without any hardware modifications for RF and IF signal processing on the basis of high performance DSP devices. Various communication systems that are designed under diverse and complex network environments require the communication platforms on the basis of SDR supporting reorganization to guarantee simple and fast communication interfaces among the respective wireless networks. This paper introduces a main idea on the implementation of platform on the basis of SDR and a communication platform is designed for experiments that is composed of a DSP board with TMS320C6713 CPU, a FPGA board processing IF signals, and a module with RF transceiver processing wireless LAN frequency bandwidth. Various modulation schemes(BPSK, QPSK, and 16QAM) used in communication systems are applied and tested on the designed platform and the test results shows that it is possible to design a reconfigurable communication terminal platform.

• Journal of Broadcast Engineering
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• v.25 no.6
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• pp.922-934
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• 2020

The talent trading platform is a platform that brokers transactions such as program coding, media content production (video, music, presentation materials, etc.), design, learning, and repair. Existing talent trading platforms provide a server-client model-based service, which incurs server operating costs and arbitration labor costs for transactions, which has a disadvantage that users bear high service fees. This paper proposes a method to reduce server and database operation costs by uploading transaction information to blocks through the system as a distributed app (dApp) based on the Ethereum platform. In addition, it proposes a method to lower transaction fees by reducing the labor cost of transaction arbitrators through smart contracts. Compare and analyze the cost processing procedure and transaction fee size of the blockchain-based talent trading platform and the existing talent trading platform.

• Journal of Multimedia Information System
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• v.6 no.1
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• pp.7-14
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• 2019

This work presents a virtual prototyping design approach for an area-based image stitching hardware. The virtual hardware obtained from virtual prototyping is equivalent to the conceptual algorithm, yet the conceptual blocks are linked to the actual circuit components including the memory, logic gates, and arithmetic units. Through the proposed method, the overall structure, size, and computation speed of the actual hardware can be estimated in the early design stage. As a result, the optimized virtual hardware facilitates the hardware implementation by eliminating trail design and redundant simulation steps to optimize the hardware performance. In order to verify the feasibility of the proposed method, the virtual hardware of an image stitching platform has been realized, where it required 10,522,368 clock cycles to stitch two $1280{\times}1024$ sized images. Furthermore, with a clock frequency of 250MHz, the estimated computation time of the proposed virtual hardware is 0.877sec, which is 10x faster than the software-based image stitch platform using MATLAB.

• Advances in Computational Design
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• v.2 no.2
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• pp.121-131
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• 2017

Collapse was one of the typical common geological hazards during the construction of tunnels. The risk assessment of collapse was an effective way to ensure the safety of tunnels. We established a prediction model of collapse based on Bayesian Network. 76 large or medium collapses in China were analyzed. The variable set and range of the model were determined according to the statistics. A collapse prediction software was developed and its veracity was also evaluated. At last the software was used to predict tunnel collapses. It effectively evaded the disaster. Establishing the platform can be subsequent perfect. The platform can also be applied to the risk assessment of other tunnel engineering.

• IEMEK Journal of Embedded Systems and Applications
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• v.2 no.4
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• pp.260-273
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• 2007

The wireless sensor network (WSN) nodes are required to operate for several months with the limited system resource such as memory and power. The hardware platform of WSN has 128Kbyte program memory and 8Kbytes data memory. Also, WSN node is required to operate for several months with the two AA size batteries. The MAC, Network protocol, and small application must be operated in this WSN platform. We look around the problem of memory and power for WSN requirements. Then, we propose a new computing model of system software for WSN node. It is the Atomic Object Model (AOM) with Dual Priority Scheduling. For the verification of model, we design and implement IEEE 802.15.4 MAC protocol with the proposed model.

• IEMEK Journal of Embedded Systems and Applications
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• v.9 no.2
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• pp.87-99
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• 2014

An AUTomotive Open System ARchitecture (AUTOSAR) is a de-facto standardized software platform, which developed for an automotive Electronic Control Unit (ECU) in global automotive industry. AUTOSAR improves the reusability and the scalability, thus the software development can be easier, faster and more reliable. However, it requires a lot of time and efforts to develop an AUTOSAR software due to the difficulties of understanding of massive AUTOSAR documentations and complicated usage of AUTOSAR design tools. AUTOSAR training is offered by AUTOSAR design tool venders but it is limited to introduction of their simplified concept and usages based on PC. Therefore the training is not enough for industrial developers or graduate students. In this paper we present an AUTOSAR starter kit which allows industrial engineers and graduate students to practice the detailed process of AUTOSAR software development easily and more conveniently. The kit is composed of a practical environment similar to actual automotive system and a textbook that explains how to design AUTOSAR software. And we demonstrated the validity of our methodology based on a case study.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.33 no.1B
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• pp.25-37
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• 2008

Network streaming technology is a service method which can support several application software via streaming in networks. Although multimedia streaming technology has been developed and widely used, research on the software streaming technology is not yet being progressed actively. In this paper, we design and implement a software streaming technology based on Java language with enhanced performance, compare the existing related systems with it and analyze several characteristics, and perform the performance evaluation. The implemented system has a platform to be used in multiple operating systems in addition to Windows system. It can also be used without installing a software at the client's computer, and has a novel feature that the user's convenience is maximized.

• Journal of KIISE:Software and Applications
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• v.34 no.8
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• pp.689-696
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• 2007

It is important issue for software architects to estimate performance of software in the early phase of the development process due to the need to verify non-functional requirements and estimation of performance in various stages of architectural design. In order to analyze performance of software, there are many approaches to translate software architecture represented by Unified Modeling Language, into analytical models. However, in the development of agent-based systems, these approaches ignore or simplify the crucial details of the underlying performance of the agent platform. In this paper, we propose performance prediction methodology for agent based system using formal semantic descriptions, and then, we transform the descriptions into queuing network model which model reflects performance of hardware and software platform. We prove the accuracy of proposed methodology using prototype implementation. The accuracy is summarized at 80%.