• Title/Summary/Keyword: Design complexity

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Beamspace MIMO System Using ESPAR Antenna with single RF chain (단일 RF chain을 갖는 전자 빔 조향 기생 배열 안테나를 사용한 빔 공간 MIMO 시스템)

  • An, Changyoung;Lee, Seung Hwan;Ryu, Heung-Gyoon
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.38A no.10
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    • pp.885-892
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    • 2013
  • The main advantage of ESPAR antenna is that ESPAR antenna requires only a single RF chain for reduction of transceiver's hardware complexity, as compared to conventional MIMO system. In conventional MIMO system, each data symbol is mapped to each antenna. But, each data symbol is mapped to each orthogonal basis pattern in ESPAR antenna system. In this paper, we design beamspace MIMO system using ESPAR antenna with single RF chain for MIMO system of low-complexity and low power consumption. And then, we analyze performance of beamspace MIMO according to each PSK modulation. Performance of beamspace MIMO system is similar to performance of conventional MIMO system. As a result of analyzing the performance of beamspace MIMO system using higher-order PSK modulation. we can confirm that performance characteristic of beamspace MIMO system with low complexity and low power consumption is similar to digital communication of signal domain.

Design of Lightweight Artificial Intelligence System for Multimodal Signal Processing (멀티모달 신호처리를 위한 경량 인공지능 시스템 설계)

  • Kim, Byung-Soo;Lee, Jea-Hack;Hwang, Tae-Ho;Kim, Dong-Sun
    • The Journal of the Korea institute of electronic communication sciences
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    • v.13 no.5
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    • pp.1037-1042
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    • 2018
  • The neuromorphic technology has been researched for decades, which learns and processes the information by imitating the human brain. The hardware implementations of neuromorphic systems are configured with highly parallel processing structures and a number of simple computational units. It can achieve high processing speed, low power consumption, and low hardware complexity. Recently, the interests of the neuromorphic technology for low power and small embedded systems have been increasing rapidly. To implement low-complexity hardware, it is necessary to reduce input data dimension without accuracy loss. This paper proposed a low-complexity artificial intelligent engine which consists of parallel neuron engines and a feature extractor. A artificial intelligent engine has a number of neuron engines and its controller to process multimodal sensor data. We verified the performance of the proposed neuron engine including the designed artificial intelligent engines, the feature extractor, and a Micro Controller Unit(MCU).

Design of an Efficient Initial Frequency Estimator based on Data-Aided algorithm for DVB-S2 system (데이터 도움 방식의 효율적인 디지털 위성 방송 초기 주파수 추정회로 설계)

  • Park, Jang-Woong;SunWoo, Myung-Hoon
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.34 no.3A
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    • pp.265-271
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    • 2009
  • This paper proposes an efficient initial frequency estimator for Digital Video Broadcasting-Second Generation (DVB-S2). The initial frequency offset of the DVB-S2 is around ${\pm}5MHz$, which corresponds to 20% of the symbol rate at 25Msps. To estimate a large initial frequency offset, the algorithm which call provide a large estimation range is required. Through the analysis of the data-aided (DA) algorithms, we find that the Mengali and Moreli (M&M) algorithm can estimate a large initial frequency offset at low SNR. Since the existing frequency estimator based on M&M algorithm has a high hardware complexity, we propose the methods to reduce the hardware complexity of the initial frequency estimator. This can be achieved by reducing the number of autocorrelators and arctangents. The proposed architecture can reduce the hardware complexity about 64.5% compared to the existing frequency estimator and has been thoroughly verified on the Xilinx Virtex II FPGA board.

Low-Complexity Joint Estimation Algorithms of Frequency Offset and Carrier Phase for Digital Communication Systems (디지털 통신 시스템에서 주파수 옵셋과 반송파 위상의 간단한 동시 추정 알고리듬)

  • Hong Dae-Ki;Kang Sung-Jin;Ju Min-Chul;Kim Yong-Sung;Cho Jin-Woong
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.29 no.11C
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    • pp.1581-1591
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    • 2004
  • In this paper, we investigate the design of three low-complexity joint estimation algorithms(LJEAs) for frequency offset and carrier phase. The proposed LJEAs are based on the interpolation technique of correlation values of the received signal in frequency and phase domains. With these algorithms, the estimation ranges $\Delta$f$_{d}$${\times}$T$_{s}$ . are less than 1/2N$_{s}$ , and 1/N$_{s}$ which are comparable to conventional algorithms. The Proposed LJEAs require only 2N$_{s}$ or 4N$_{s}$ complex multiplications which are very simple compared with the conventional algorithms. Nevertheless the estimation accuracies of the LJEAs are as good as those of the conventional algorithms. Suitable areas of application include joint estimation of frequency offset and carrier phase in burst-mode digital transmission such as satellite communications.

Design of Low-complexity FFT Processor for Narrow-band Interference Signal Cancellation Based Array Antenna (배열 안테나 기반 협대역 간섭신호 제거를 위한 저면적 FFT 프로세서 설계 연구)

  • Yang, Gi-jung;Won, Hyun-Hee;Park, Sungyeol;Ahn, Byoung-Sun;Kang, Haeng-Ik
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2017.10a
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    • pp.621-622
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    • 2017
  • In this paper, a low-complexity FFT processor is proposed for narrow-band interference signal cancellation based array antenna. The proposed FFT pocessor can support the variable length of 64, 128 and 512. By reducing number of non-tirval multipliers with mixed radix-4/2/4/2/4/2 algorithm and flexible multi-path delay commutator(MDC) architecture, the complexity of the proposed FFT processor is dramatically decreased. The proposed FFT processor was designed in Xilinx system generator and Implemented with Xilinx Virtex-7 FPGA. With the proposed architecture, the number of slices for the processor is 11454, and the number of DSP48s is 194.

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Increasing Profitability of the Halal Cosmetics Industry using Configuration Modelling based on Indonesian and Malaysian Markets

  • Dalir, Sara;Olya, Hossein GT;Al-Ansi, Amr;Rahim, Alina Abdul;Lee, Hee-Yul
    • Journal of Korea Trade
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    • v.24 no.8
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    • pp.81-100
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    • 2020
  • Purpose - Based on complexity theory, this study develops a configurational model to predict the profitability of Halal cosmetics firms in the Indonesian and Malaysian markets. The proposed research model involves two level configurations-industry context and selling strategies-to predict high and low scores of a firm's profitability. The industry context configuration model comprises industry stability, product homogeneity, price sensitivity, and switching cost. Selling strategies include customer-focused, competitor-focused, and margin-focused approaches. Design/methodology - This is the first empirical study that calculates causal models using a combination of industry context and selling strategy factors to predict profitability. Data obtained from the marketing managers of cosmetics firms are used to test the proposed configurational model using fuzzy-set qualitative comparative analysis (fsQCA). It contributes to the current knowledge of business marketing by identifying the factors necessary to achieve profitability using analysis of condition (ANC). Findings - The results revealed that unique and distinct models explain the conditions for high and low profitability in the Indonesian and Malaysian halal cosmetic markets. While customer-focused selling strategy is necessary to attain a higher profit in both the markets, margin-focused selling strategy appears to be an essential factor only in Malaysia. Complexity of the interactions of selling strategies with industry factors and differences between across two study markets confirmed that complexity theory can support the research configurational model. The theoretical and practical implications are also illustrated. Originality/value - Despite the rapid growth of the global halal industry, there is little knowledge about the halal cosmetic market. This study contributes to the current literature of the halal market by performing a set of asymmetric analytical approaches using a complex theoretical model. It also deepens our understating of how the Korean firms can approach the Muslim consumer's needs to generate more beneficial turnover/revenue.

Visualization, Economic Complexity Index, and Forecasting of South Korea International Trade Profile: A Time Series Approach

  • Dar, Qaiser Farooq;Dar, Gulbadin Farooq;Ma, Jin-Hee;Ahn, Young-Hyo
    • Journal of Korea Trade
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    • v.24 no.1
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    • pp.131-145
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    • 2020
  • Purpose - The recent growth of South Korean products in the international market is the benchmark for both developed as well as developing countries. According to the development index, the role of international trade is indeed crucial for the development of the national economy. However, the visualization of the international trade profile of the country is the prerequisite of governmental policy decision-makers and guidance for forecasting of foreign trade. Design/methodology - We have utilized data visualization techniques in order to visualize the import & export product space and trade partners of South Korea. Economic Complexity Index (ECI) and Revealed Comparative Advantage (RCA) were used to identify the Korean international trade diversification, whereas the time series approach is used to forecast the economy and foreign trade variables. Findings - Our results show that Chine, U.S, Vietnam, Hong Kong, and Japan are the leading trade partners of Korea. Overall, the ECI of South Korea is growing significantly as compared to China, Hong Kong, and other developed countries of the world. The expected values of total import and export volume of South Korea are approximately US$535.21 and US$ 781.23B, with the balance of trade US$ 254.02B in 2025. It was also observed from our analysis that imports & exports are equally substantial to the GDP of Korea and have a significant correlation with GDP, GDP per capita, and ECI. Originality/value - To maintain the growth rate of international trade and efficient competitor for the trade partners, we have visualized the South Korea trade profile, which provides the information of significant export and import products as well as main trade partners and forecasting.

A Study on Design and Implementation of Scalable Angle Estimator Based on ESPRIT Algorithm (ESPRIT 알고리즘 기반 재구성 가능한 각도 추정기 설계에 관한 연구)

  • Dohyun Lee;Byunghyun Kim;Jongwha Chong;Sungjin Lee;Kyeongyuk Min
    • Journal of IKEEE
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    • v.27 no.4
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    • pp.624-629
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    • 2023
  • Estimation of signal parameters via rotational invariance techniques (ESPRIT) is an algorithm that estimates the angle of a signal arriving at an array antenna using the shift invariance property of an array antenna. ESPRIT offers the good trade-off between performance and complexity. However, the ESPRIT algorithm still requires high-complexity operations such as covariance matrix and eigenvalue decomposition, so implementation with a hardware processor is essential to estimate the angle of arrival in real time. In addition, ESPRIT processors should have high performance. The performance is related to the number of antennas, and the number of antennas required for each application are different. Therefore, we proposed an ESPRIT processor that provides 2 to 8 variable antenna configurations to meet the performance and complexity requirements according to the applied field. The proposed ESPRIT processor was designed using the Verilog-HDL and implemented on a field programmable gate array (FPGA).

Simple and Efficient Design Method of Stepped Septum Polarizer for X-band Satellite Communication (간결하고 효과적인 X-band 위성 통신용 계단형 셉텀 편파기의 설계방법)

  • Kim, Jee-Heung;Lee, Jae-Wook;Lee, Taek-Kyung;Cho, Choon-Sik
    • Journal of Advanced Navigation Technology
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    • v.16 no.6
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    • pp.893-899
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    • 2012
  • In this paper, a simple design method of stepped septum polarizer suitable for X-band satellite communication is proposed. This method is compared to two other conventional design methods in terms of time consumption and complexity of design procedure. In addition, an equivalent circuit modeling is used to analyze and design for the polarizer based on waveguide. For the validity of satisfying the satellite communication, electrical performances have been verified through the simulation and measurement results.

Cognitive Load and Instructional Design in Medical Education (인지부하를 고려한 의학교육 교수-학습 설계)

  • Oh, Sun A;Kim, Yeon Soon;Chung, Eun Kyung
    • Korean Medical Education Review
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    • v.12 no.2
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    • pp.27-33
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    • 2010
  • The purpose of this study was to review the definition of cognitive load (CL), the relationship between CL and instructional design, and to provide a viewpoint of CL in curriculum and instructional design in medical education. Cognitive load theory (CLT) makes use of three hypotheses about the structure of human memory: working memory (WM) is limited in terms of the amount of information it can hold, in contrast with WM, long term memory is assumed to have no limits and organizes information as schemata. CL indicates the mental load on the limitation of WM. CLT has been used to design instructional interventions that help to ease the learning process. Extraneous CL is related to irrelevant instructional interventions, while intrinsic CL is the complexity of the information itself. Germane CL is the cognitive process for acquiring schema formation. It is a necessary CL to achieve deeper comprehension and solve problems. The range of medical education includes complex, multifaceted and knowledge-rich domains with clinical skills and attitudes. Therefore, CLT may be used to guide instructional design in medical education in terms of decreasing extraneous CL, adjusting intrinsic CL and enhancing the germane CL.