• Proceedings of the KIEE Conference
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• 2006.10c
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• pp.443-445
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• 2006

In this paper, we present a model-driven approach to RTOS(Real Time Operating System)-based embedded software development and an automated tool that can produce RTOS-specific code. we defined generic RTOS APIs(Application Programming Interface) that are not bound to any specific RTOS but can provide most of typical RTOS services. The generic RTOS APIs can be used as a means for describing application's RTOS-related behavior from design stage. Out tool, called Trans-PI, is able to produce specific 'C' code aimed at POSIX(Portable Operating System Interface for UNIX)-complicant RTOSs. And it is also configurable to target other RTOSs that do not conform to the POSIX standard.

• 제어로봇시스템학회:학술대회논문집
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• 2005.06a
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• pp.215-220
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• 2005

Nowadays, various speech processing systems are being introduced in the fields of robotics. However, real-time processing and high performances are required to properly implement speech processing system for the autonomous robots. Achieving these goals requires advanced hardware techniques including intelligent software algorithms. For example, we need nonlinear amplifier boards which are able to adjust the compression radio (CR) via computer programming. And the necessity for noise reduction, double-buffering on EPLD (Erasable programmable logic device), simultaneous multi-channel AD conversion, distant sound localization will be explained in this paper. These ideas can be used to improve distant and omni-directional speech recognition. This speech processing system, based on embedded Linux system, is supposed to be mounted on the new home service robot, which is being developed at KIST (Korea Institute of Science and Technology)

• IEMEK Journal of Embedded Systems and Applications
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• v.2 no.4
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• pp.242-250
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• 2007

Wireless sensor networks are subject to highly heterogeneous system requirements in terms of their functionality and performance due to their broad application areas. Though the heterogeneity hinders the opportunity of developing a single universal platform for sensor networks, efforts to provide uniform, inter-operable and scalable ones for sensor networks are still essential for the growth of the industry as well as their technological advance. As a part of our work to develop such a robust platform, this paper presents the software architecture for sensor nodes with focus on our sensor node operating system and its configuration methodology. Addressing principle issues in its design space which includes programming, execution, task scheduling and software layer models, our architecture is highly reconfigurable with respect to system resources and functional requirements and also highly efficient in supporting multi-threading under small system resources.

• IEMEK Journal of Embedded Systems and Applications
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• v.2 no.2
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• pp.101-106
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• 2007

Recently, according as USN application service models have been integrated each other and have become various, the need on the development of monitoring programs corresponding each service model has been risen steadily. However, if we stick to the traditional method developing independently each service model, we might pay unnecessary expenses. In this paper, we propose the monitoring program authoring tool for USN. Furthermore, we introduce an implementing example of the forest fire prevention monitoring system for verification of the proposed tool. The tool adopted the framework based programming and the S/W reusability techniques for minimizing waste of redeveloping cost.

• IEMEK Journal of Embedded Systems and Applications
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• v.11 no.4
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• pp.209-218
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• 2016

This paper proposes a new lifetime aware buffer mapping method of a synchronous dataflow (SDF) graph on a hybrid memory system with DRAM and PRAM. Since the number of write operations on PRAM is limited, the number of written samples on PRAM is minimized to maximize the lifetime of PRAM. We improve the utilization of DRAM by mapping more buffers on DRAM through buffer sharing. The problem is formulated formally and solved by an optimal approach of an answer set programming. In experiment, the buffer mapping method with buffer sharing improves the PRAM lifetime by 63%.

• The Journal of the Korea Contents Association
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• v.6 no.2
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• pp.1-8
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• 2006

In this paper, we address to develop a port container management system using RFID, which is one of the main technologies in ubiquitous. Our system is designed and implemented based on the following technologies: a port gate automation using RFID for container identification, web programming for both communication of the gate and deposit/delivery of a container, and wireless embedded router technology for both port container network platform and cram terminals. The developed system using RFID will be expected to use in main part of the port logistic management system aimed to the intelligent port.

• Journal of Korea Society of Digital Industry and Information Management
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• v.5 no.4
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• pp.77-85
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• 2009

In this paper, the implementation of creative engineering robot with MCU platform is described. This robot, as a platform of robot system to be used as creative engineering education, has to satisfy restrictions in many aspects in order to study algorithm and apply for the processor based function and pattern recognition application. Considering many restrictions of the mobile platform for creative robot system, we made this robot autonomous by using efficiently the LINUX embedded system. And we choose Marvell Monahan processor(PXA320) as MCU flatform, and used CentOS5.2 as an embedded OS that has the function of robustness and optimality. For flexibility and modularity, the platform has expansion ports. The results of experiment are described to show the pattern matching of creative engineering mobile robot with LINUX programming environments.

• IEMEK Journal of Embedded Systems and Applications
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• v.5 no.1
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• pp.39-45
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• 2010

As wireless sensor network are being deployed in a wide variety of application areas, the number of sensor nodes in a sensor filed becomes larger and larger. In the past, ISP (In-System Programming) method have been generally used for code update but the large number of sensor nodes requires a new code update method called network reprogramming. There are many challenging issues for network reprogramming since it can make an impact on the network lifetime. In this paper, a new sender selection scheme for network reprogramming protocol is proposed to decrease energy consumption for code update by minimizing overlapped area between sender nodes and reducing data contention. Simulation results show that the proposed scheme can reduce the amount of message traffic and the overall data transmission time.

• IEMEK Journal of Embedded Systems and Applications
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• v.5 no.1
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• pp.23-28
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• 2010

The automotive industry tries to provide infotainment systems to emerging automobiles. Since the infotainment systems require various peripheral devices and network connectivity, legacy operating systems such as Linux and Windows can be much preferred due to its plentiful device drivers and multimedia applications while the operating systems following OSEK standard are used for automotive electronic control units. Thus it is highly desired that the system software supporting infotainment applications can be portable over different legacy operating systems providing unified programming interfaces. The majority of legacy operating systems support POSIX interfaces for application development. MOST is an automotive network standard for infotainment systems. Network Service defines the protocol stacks for MOST control data, which is essential to implement infotainment applications over MOST. In this paper, we suggest a POSIX-based Network Service so that we can utilize legacy device drivers and applications for automotive infotainment systems. We measure the performance of the POSIX-based Network Service and show that its overhead is not significant.

• IEMEK Journal of Embedded Systems and Applications
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• v.16 no.3
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• pp.89-97
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• 2021

Voice interface can not only make daily life more convenient through artificial intelligence speakers but also improve the working environment of the factory. This paper presents a voice-assisted work management system that supports both speech and speaker recognition. This system is able to provide machine control and authorized worker authentication by voice at the same time. We applied two speech recognition methods, Google's Speech application programming interface (API) service, and DeepSpeech speech-to-text engine. For worker identification, the SincNet architecture for speaker recognition was adopted. We implemented a prototype of the work management system that provides voice control with 26 commands and identifies 100 workers by voice. Worker identification using our model was almost perfect, and the command recognition accuracy was 97.0% in Google API after post- processing and 92.0% in our DeepSpeech model.