• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.13 no.10
• /
• pp.2197-2204
• /
• 2009

In this paper, we analyze the performance of the sphere decoding algorithm at MIMO system. The BER performance of this algorithm is the same as that of ML receiver, but computational complexity of SD algorithm is much less than that of ML receiver. The independent signals from each transmit antennas are modulated by using the QPSK and 16QAM modulation in the richly scattered Rayleigh flat-fading channel. The received signals from each receivers is independently detected by the receiver using Fincke & Pohst SD algorithm, and the BER output of the algorithm is compared with those of ZF, MMSE, SIC, and ML receivers. We also investigate the Viterbo & Boutros SD algorithm which is the modified SD algorithm, and the BER performance and the floting point operations of the algorithms are comparatively studied.

• The Transactions of the Korea Information Processing Society
• /
• v.3 no.3
• /
• pp.572-580
• /
• 1996

This paper describes a test generation method for sequential circuits which improves the application limits of the IPMT method by applying the partial scan design to the IPMT method. To solve the problem that the IPMT method requires enormous computation time in image computation, and generates test patterns after the partialscan design is introduced to reduce test complexity. Scan flip-flops are selected for the partial scan design according to the node size of the state functions of a sequential circuit in their binary decision diagram representations. Experimental results on ISCAS'95 benchmark circuits show that a test generator based on our method has achieved 100% fault coverage by use of either 20% scan FFs for s344, s349, and s420 or 80% scan FFs for sl423. However, test gener-ators based on the previous IPM method have not achieved 100% fault coverage for those circuits.

• Nuclear Engineering and Technology
• /
• v.53 no.10
• /
• pp.3327-3334
• /
• 2021

Present electric grids are advanced to integrate smart grids, distributed resources, high-speed sensing and control, and other advanced metering technologies. Cybersecurity is one of the challenges of the smart grid and nuclear plant digital system. It affects the advanced metering infrastructure (AMI), for grid data communication and controls the information in real-time. The research article is emphasized solving the nuclear and smart grid hardware security issues with the integration of field programmable gate array (FPGA), and implementing the latest Time Authenticated Cryptographic Identity Transmission (TACIT) cryptographic algorithm in the chip. The cryptographic-based encryption and decryption approach can be used for a smart grid distribution system embedding with FPGA hardware. The chip design is carried in Xilinx ISE 14.7 and synthesized on Virtex-5 FPGA hardware. The state of the art of work is that the algorithm is implemented on FPGA hardware that provides the scalable design with different key sizes, and its integration enhances the grid hardware security and switching. It has been reported by similar state-of-the-art approaches, that the algorithm was limited in software, not implemented in a hardware chip. The main finding of the research work is that the design predicts the utilization of hardware parameters such as slices, LUTs, flip-flops, memory, input/output blocks, and timing information for Virtex-5 FPGA synthesis before the chip fabrication. The information is extracted for 8-bit to 128-bit key and grid data with initial parameters. TACIT security chip supports 400 MHz frequency for 128-bit key. The research work is an effort to provide the solution for the industries working towards embedded hardware security for the smart grid, power plants, and nuclear applications.

• Journal of IKEEE
• /
• v.25 no.3
• /
• pp.479-484
• /
• 2021

This paper proposed and designed a structure to achieve high performance with a small number of cores in GPGPU with SIMT structure. GPGPU for application to mobile devices requires a structure to increase performance compared to power consumption. In order to reduce power consumption, the number of cores decreased, but to improve performance, the size of the warp scheduler for managing threads was set to 4, which was greatly reduced than 32 of general GPGPU. Reducing warp size can reduce the number of idle cycles in pipelines and efficiently apply memory latency to reduce miss penalty when accessing cache memory. The designed GPGPU measured computational performance using a test program that includes floating point operations and measured power consumption through a 28nm CMOS process to obtain 104.5GFlops/Watt as a performance per power. The results of this paper showed about four times better performance per power compared to Tegra K1 of Nvidia

• The Journal of the Convergence on Culture Technology
• /
• v.7 no.1
• /
• pp.558-563
• /
• 2021

Quantum-Dot Cellular Automata is a next-generation nanocircular design technology that is drawing attention from many research organizations not only because it is possible to design efficient circuits by overcoming the physical size limitations of existing CMOS circuits, but also because of its energy-efficient features. In this paper, one of the existing digital circuits, T flip-flop circuit, is proposed using QCA. The previously proposed T flip-flops are designed based on the majority gate, so the circuits are complex and have long delays. Therefore, the design of the XOR gate-based T flip-flop using cell interaction reduces circuit complexity and minimizes latency. The proposed circuit is simulated using QCADesigner, and the performance is compared and analyzed with the existing proposed circuits.

• Journal of Advanced Navigation Technology
• /
• v.24 no.6
• /
• pp.557-565
• /
• 2020

In order for thermal degradationIn, excore nuclear flux monitoring system, as a monitoring and signal processing methodology of reactor power, monitors neutron pulses generated during nuclear fission as frequency status, and converts them into DC voltage, and then log values resultantly. The methods realy applied in the nuclear power plant are to construct combination of counters and flip-flops, or diodes and capacitors up to now. These methodes are reliable for relative high frequencies, while not credible for reasonable low frequencies or extreme low values. Therefore, we developed the circuit that converts frequencies into DC voltages, into and into log DC values in the wide range from low Hz to several hundred high kHz. We proved their validities through testing them using real data used in nuclear power plant and analyzed their results. And, these methods will be used to measure the neutron level of excore nuclear flux monitoring system in nuclear power plant.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.25 no.12
• /
• pp.1882-1889
• /
• 2021

This paper describes a high-performance hardware implementation of modular multiplication used as a core operation in elliptic curve cryptography. A 521-bit high-performance modular multiplier for NIST P-521 curve was designed by adopting 3-way Toom-Cook integer multiplication and fast reduction algorithm. Considering the property of the 3-way Toom-Cook algorithm in which the result of integer multiplication is multiplied by 1/3, modular multiplication was implemented on the Toom-Cook domain where the operands were multiplied by 3. The modular multiplier was implemented in the xczu7ev FPGA device to verify its hardware operation, and hardware resources of 69,958 LUTs, 4,991 flip-flops, and 101 DSP blocks were used. The maximum operating frequency on the Zynq7 FPGA device was 50 MHz, and it was estimated that about 4.16 million modular multiplications per second could be achieved.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.26 no.4
• /
• pp.548-555
• /
• 2022

This paper describes the hardware implementation of elliptic curve cryptography (ECC) used as a core operation in elliptic curve digital signature algorithm (ECDSA). The ECC processor supports eight operation modes (four point operations, four modular operations) on the NIST P-521 curve. In order to minimize computation complexity required for point scalar multiplication (PSM), the radix-4 Booth encoding scheme and modified Jacobian coordinate system were adopted, which was based on the complexity analysis for five PSM algorithms and four different coordinate systems. Modular multiplication was implemented using a modified 3-Way Toom-Cook multiplication and a modified fast reduction algorithm. The ECC processor was implemented on xczu7ev FPGA device to verify hardware operation. Hardware resources of 101,921 LUTs, 18,357 flip-flops and 101 DSP blocks were used, and it was evaluated that about 370 PSM operations per second were achieved at a maximum operation clock frequency of 45 MHz.

• KIPS Transactions on Computer and Communication Systems
• /
• v.11 no.1
• /
• pp.1-8
• /
• 2022

RISC-V is an open-source instruction set architecture which has a simple base structure and can be extensible depending on the purpose. In this paper, we designed a small and low-power 32-bit RISC-V processor to establish the base for research on RISC-V embedded systems. We designed a 2-stage pipelined processor which supports RISC-V base integer instruction set except for FENCE and EBREAK instructions. The processor also supports privileged ISA for trap handling. It used 1895 LUTs and 1195 flip-flops, and consumed 0.001W on Xilinx Zynq-7000 FPGA when synthesized using Vivado Design Suite. GPIO, UART, and timer peripherals are additionally used to compose the system. We verified the operation of the processor on FPGA with FreeRTOS at 16MHz. We used Dhrystone and Coremark benchmarks to measure the performance of the processor. This study aims to provide a low-power, high-efficiency microprocessor for future extension.

• The Transactions of the Korea Information Processing Society
• /
• v.13 no.3
• /
• pp.140-147
• /
• 2024

In the Republic of Korea, people with hearing impairments are the second-largest demographic within the registered disability community, following those with physical disabilities. Despite this demographic significance, research on sign language translation technology is limited due to several reasons including the limited market size and the lack of adequately annotated datasets. Despite the difficulties, a few researchers continue to improve the performacne of sign language translation technologies by employing the recent advance of deep learning, for example, the transformer architecture, as the transformer-based models have demonstrated noteworthy performance in tasks such as action recognition and video classification. This study focuses on enhancing the recognition performance of sign language translation by combining transformers with 3D-CNN. Through experimental evaluations using the PHOENIX-Wether-2014T dataset [1], we show that the proposed model exhibits comparable performance to existing models in terms of Floating Point Operations Per Second (FLOPs).