• Journal of the Korea Institute of Information Security & Cryptology
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• v.27 no.4
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• pp.943-949
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• 2017

Cryptography implementation over lightweight Internet of Things (IoT) device needs to provide an accurate and fast execution for high service availability. However, adversaries can extract the secret information from the lightweight device by analyzing the unique features of computation in the device. In particular, modern ARM Cortex-M3 processors perform the multiplication in different execution timings when the input values are varied. In this paper, we analyze previous multiplication methods over ARM Cortex-M3 and provide optimized techniques to accelerate the performance. The proposed method successfully accelerates the performance by up-to 28.4% than previous works.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.2
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• pp.816-821
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• 2013

This paper proposes the design method of low-cost vector control system for induction motor using the ARM Cortex-M4 microcontroller. This MCU can be used instead of expensive DSP to control the home appliances such as refrigerator, air conditioner, washing machine and so on. This paper explains the major features of Cortex-M4 for motor control and how to realize a vector-controlled inverter using it. The developed system is applied to 3-phase induction motor of 200[W] and experimental results show good performance similar to the system using TMS320F28335 DSP.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.22 no.8
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• pp.1133-1138
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• 2018

Lightweight Encryption Algorithm (LEA) is one of the most promising lightweight block cipher algorithm due to its high efficiency and security level. There are many works on the efficient LEA implementation. However, many works missed the secure application services where the IoT platforms perform secure communications between heterogeneous IoT platforms. In order to establish the secure communication channel between them, the encryption should be performed in the on-the-fly method. In this paper, we present the LEA implementation performing the on-the-fly method over the ARM Cortex-M3 processors. The general purpose registers are fully utilized to retain the required variables for the key scheduling and encryption operations and the rotation operation is optimized away by using the barrel-shifter technique. Since the on-the-fly method does not store the round keys, the RAM requirements are minimized. The implementation is evaluated over the ARM Cortex-M3 processor and it only requires 34 cycles/byte.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.22 no.9
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• pp.1257-1263
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• 2018

Secure authentication technology is a fundamental building block for secure services for Internet of Things devices. Particularly, the multiplication operation is a core operation of public key cryptography, such as RSA, ECC, and SIDH. However, modern low-power processor, namely ARM Cortex-M3 processor, is not secure enough for practical usages, since it executes the multiplication operation in variable-time depending on the input length. When the execution is performed in variable-time, the attacker can extract the password from the measured timing. In order to resolve this issue, recent work presented constant-time solution for multiplication operation. However, the implementation still missed various speed-optimization techniques. In this paper, we analyze previous multiplication methods over ARM Cortex-M3 and provide optimized implementations to accelerate the speed-performance further. The proposed method successfully accelerates the execution-time by up-to 25.7% than previous works.

• Journal of Aerospace System Engineering
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• v.12 no.5
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• pp.48-53
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• 2018

In this study, Real-Time Operating System(RTOS) and 3-D collision avoidance algorithm are implemented to three different Miciro Controller Unit(MCU)s and their performances compared. We selected Microchip Technology's ATmega2560, STM's ARM Cortex-M3 and ARM Cortex-M4, because they are widely used. FreeRTOS, an open-source operating system, was also used. The 3D collision avoidance algorithm consists of the vertical and the horizontal avoidance algorithm, which is implemented using C++. The performances of the MCUs were compared with respect to used memory and calculation time. As a result, Cortex-M4's calculation time was the fastest and ATmega2560 used least memory.

• Proceedings of the Korea Information Processing Society Conference
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• 2013.11a
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• pp.12-14
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• 2013

임베디드 마이크로프로세서인 ARM Cortex-M3는 기존의 것들과는 달리 짧은 문맥교환을 제공하기 위해 Trap을 이용하여 문맥교환 과정을 일부 하드웨어적으로 처리하는 기능을 제공한다. 일반적으로 Trap (혹은 소프트웨어 인터럽트)은 그 자신만의 오버헤드를 갖고 있는 것으로 알려져 있다. 따라서 본 논문에서는 소프트웨어적으로 문맥교환을 하던 방식에 비해 어느 정도의 성능 향상이 있을지에 대한 정량적인 비교 평가를 수행하여 Cortex-M3를 기반으로 한 임베디드 시스템의 설계에 도움을 주도록 한다.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.5
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• pp.3385-3390
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• 2015

In this paper, we constructed using a Cortex M3 microcontroller developed by ARM Inc. as a way to control the LED light more efficiently. And Using the short-range wireless communication by the Bluetooth communication method applied to control the LED light was configured to wirelessly control the wireless circuits. In this paper, users can easily download and easy to wirelessly control the LED lighting control circuit to design an Android application from Android-based smartphone so that you can control with your smartphone to have anyone to control the LED lighting control circuit wirelessly. If the LED lights radio control circuit is configured with the Cortex M3 in this paper is applicable to both indoor and outdoor and eco-friendly technology, is using LED driver to enhance the efficiency of the LED becomes stable voltage supply is made, the brightness of LED lighting control.

• Journal of IKEEE
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• v.22 no.4
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• pp.886-895
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• 2018

This paper describes a hardware design of the Secure Hash Algorithm-3 (SHA-3) hash functions that are the latest version of the SHA family of standards released by NIST, and an implementation of ARM Cortex-M0 interface for security SoC applications. To achieve an optimized design, the tradeoff between hardware complexity and performance was analyzed for five hardware architectures, and the datapath of round block was determined to be 1600-bit on the basis of the analysis results. In addition, the padder with a 64-bit interface to round block was implemented in hardware. A SoC prototype that integrates the SHA-3 hash processor, Cortex-M0 and AHB interface was implemented in Cyclone-V FPGA device, and the hardware/software co-verification was carried out. The SHA-3 hash processor uses 1,672 slices of Virtex-5 FPGA and has an estimated maximum clock frequency of 289 Mhz, achieving a throughput of 5.04 Gbps.

• Smart Media Journal
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• v.4 no.2
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• pp.46-54
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• 2015

Communication between ECUs (Electronic Control Units) in agricultural machineries tends to use IS011783 widely, that is PGN (Parameter Group Number) based communication protocol lays on CAN protocol by altering its identifier part. Messages in line are transferred and received between ECUs according to ISO11783 standard. This paper discusses about design of wireless monitoring system. We used an ARM Cortex-M3 microcontroller embedded development board and marvel8686 wireless module. The wireless ISOBUS monitoring system, attached to communication line, reads messages, interpret them, and display them on the screen in easily comprehendible form. It can be used to generate messages and monitor the traffic on physical bus systems. The monitoring system connected to ECUs, monitor and simulate real traffic of communication and functionality of the ECUs. In order to support our work, we have implemented the monitoring tool. The development consists of two parts: GUI of the application and firmware level programming. Hence the monitoring system is attached to the communication line and equipped by Wi-Fi module; farmer/dispatcher in a farm monitors all messages in communication line on personal computer and smart device.

• Journal of the Institute of Electronics and Information Engineers
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• v.51 no.2
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• pp.214-219
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• 2014

In this paper, a new robot system is designed and manufactured to improve the educational robot. The main processor is realized using the ARM Cortex-M3 and the co-processor is implemented by AVR ATMega2560 to deal with data coming from sensor modules. The processor of sensor modules was developed by the AVR ATMega8. The communication system is composed with IIC communication to alleviate the load of main processor. We have developed the educational robot system adopting the hub module for extension characteristics.