A new decoding method for low-density parity-check (LDPC) codes is presented to lower the energy consumption of LDPC decoders for NAND flash-based storage systems. Since the channel condition of NAND ...flash memory is reliable for most of its lifetime, it is inefficient to apply the maximum-effort decoding with the full parity-check matrix (H-matrix) from the beginning of the lifespan. As the energy consumption and the decoding latency are proportional to the size of the H-matrix used in decoding, the proposed algorithm starts the decoding with a partial H-matrix selected by considering the channel condition. In addition, the proposed partial decoding provides various error-correcting capabilities by adjusting the partial H-matrix. Based on the proposed partial decoding algorithm, a prototype decoder is implemented in a 65 nm CMOS process to decode a 4 KB LDPC code. The proposed decoder reduces energy consumption by 93% compared to the conventional LDPC decoding architecture at maximum.
The hemispherical resonator gyroscope is a type of vibratory gyroscope, which can measure angle or angular rate, based on its operating mode. This paper deals with the case when the hemispherical ...resonator gyroscope is operated in angle measurement mode. In angle measurement mode, the resonator pattern angle precesses, with respect to the external rotation input, by the principle of the Coriolis effect, so that the external rotation can be estimated, by measuring the amount of precession angle. However, this pattern angle drifts, due to the manufacturing error of the resonator. Since the drift effect causes degradation of the angle estimation performance of the resonator, the corresponding drift compensation control should be performed, to enhance the estimation performance. In this paper, a mathematical model of the hemispherical resonator gyro is first introduced. By using the mathematical model, a nonlinear observer for imperfection parameter estimation, and the corresponding compensation controller are designed to operate hemispherical resonator gyros, as angle measurement sensors.
The goal of the study is to understand how consumers' constraint as opposed to utility structure gives rise to final decision when consumers purchase more than one variant of product at a time, i.e., ...horizontal variety seeking or multiple-discreteness. Purchase and consumption decision not only produces utility but also involves some sort of cognitive pressure. Past consumption or last purchase is likely to be linked to this burden we face such as concern for obesity, risk of harm, and guilt for mischief. In this research, the existence and the role of dynamic constraint are investigated through a microeconomic utility model with multiple dynamic constraint. The model is applied to the salty snacks data collected from field study where burden for spiciness serves as a constraint. The results are compared to the conventional multiple discreteness choice models of static constraints, and policy implications on price discounts is explored. The major findings are that first, one would underestimate the level of consumer preference for product offerings when ignoring the carry-over of the concern from the past consumption, and second, the impact of price promotion on demand would be properly evaluated when the model allows for the role of constraint as both multiple and dynamic. The current study is different from the existing studies in two ways. First, it captures the effect of 'mental constraint' on demand in formal economic model. Second, unlike the state dependence well documented in the literature, the study proposes the notion of state dependence in different way, via constraint rather than utility.
The formation of cellulose nanofibrous skin with a colloidal suspension is challenging due to the diffusion of colloidal particles and bacteria to the bulk and a limited supply of oxygen for bacteria ...in the liquid culture environment. A composite-actuating string was fabricated with magnetic nanoparticles (MNPs) and Gluconacetobacter xylinus in a solid matrix of hydrophobic microparticles. G. xylinus synthesizes a dense skin layer of cellulose nanofibers enclosing MNPs in the solid matrix to form an actuator string responsive to an external magnetic field. The nanofibrous actuator string is transformable to fit the diverse shapes of tubular structures in cross section due to its softness and plastic deformability, which reduce friction and stress against the walls of organ tissues. The nanofibrous skin string is bendable at an acute angle by magnetic actuation and is applicable as an endoscopic guidewire to reach a target deep inside a model kidney structure.
Although residential houses have widely adopted battery energy storage (BES) in conjunction with solar photovoltaic (PV) panels, it has been challenging to optimize BES controls owing to the ...uncertainty inherent in electricity prices, renewable energy resources, and electricity demand loads. The main objective of this study is to propose a supervised optimization (SO) framework designed to enable supervised learning to infer efficient BES operations in conjunction with mathematical optimization. Based on the proposed SO framework, a mathematical optimization model is formulated and solved to generate optimal charging and discharging controls given historical data in an offline optimization fashion. Then, a supervised learning model can be trained based on the optimal charging and discharging controls to infer efficient BES charging and discharging controls in an online optimization fashion. Specifically, an objective function and constraints driven by the mathematical optimization model are reflected in the course of training and inferring by supervised learning models so that the SO framework can infer feasible and efficient BES controls. Numerical experiments are conducted with data collected from a residential community in Texas, and the results reveal that the proposed SO framework results in better performance compared to the benchmark model, such as reinforcement learning and model predictive control.
The accuracy of machine learning is greatly affected by amount of learning data and quality of data. Collecting existing Web-based learning data has danger that data unrelated to actual learning can ...be collected, and it is impossible to secure data transparency. In this paper, we propose a method for collecting data directly in parallel by blocks in a block - chain structure, and comparing the data collected by each block with data in other blocks to select only good data. In the proposed system, each block shares data with each other through a chain of blocks, utilizes the All-reduce structure of Parallel-SGD to select only good quality data through comparison with other block data to construct a learning data set. Also, in order to verify the performance of the proposed architecture, we verify that the original image is only good data among the modulated images using the existing benchmark data set. 기계학습의 정확도는 학습용 데이터의 양과 데이터의 품질에 많은 영향을 받는다. 기존의 웹을 기반으로 학습용 데이터를 수집하는 것은 실제 학습과 무관한 데이터가 수집 될 수 있는 위험성이 있으며 데이터의 투명성을 보장할 수가 없다. 본 논문에서는 블록체인구조에서 블록들이 직접 병렬적으로 데이터를 수집하게 하고 각 블록들이 수집한 데이터를 타 블록의 데이터와 비교하여 양질의 데이터만을 선별하는 방안을 제안한다. 제안하는 시스템은 각 블록들은 데이터를 서로 블록체인을 통해 공유하며 All-reduce 구조의 Parallel-SGD를 활용하여 다른 블록들의 데이터와 비교를 통해 양질의 데이터만을 선별하여 학습용 데이터셋을 구성할 수가 있다. 또한 본 논문에서는 제안한 구조의 성능을 확인하기 위해 실험을 통해 기존의 벤치마크용 데이터셋의 이미지를 활용하여 변조된 이미지 사이에서 원본 이미지만을 양질의 데이터로 판별함을 확인하였다.
현재 진행되고 있는 자율주행 관련 기술 발전은 실제 도로를 사용한 자율주행 테스트 시 다양한 안전사고가 발생할 가능성이 존재한다. 특히 자율주행자동차법 시행으로 실제 도로에 서의 자율주행 실증은 증가할 것이며, 안전사고 예방을 위해 국내 도로환경에 적합한 운행설 계영역에 대한 연구가 요구된다. 따라서 본 연구는 도심부 자율주행셔틀 실증을 위한 운행설 ...계영역을 정의하고, 안양시 도심부도로를 중심으로 자율주행 운행 가능여부 등의 운행설계영 역 평가를 실시한다. 본 연구의 자율주행 운행설계영역은 국내의 도로환경과 안전을 우선적으 로 고려하였으며, 기하구조적 요인, 운영적 요인, 환경적 요인을 포함한다. 분석결과 노드기준 에서는 노드유형 및 신호-통신 여부를 통해서 30개 노드에서 자율주행셔틀 실증이 가능한 것 으로 분석되었다. 링크기준에서는 오전첨두(8-9시) 42개, 비첨두(12-13시) 39개, 그리고 오후첨 두(18-19시) 40개 방향별 링크구간에서 자율주행 제한으로 분석되었다. 본 연구결과는 향후 자 율주행 실증테스트가 이루어지는 도심부도로에서 사전 안전성 평가의 수범사례로 활용될 가치가 있다.
The lithium metal battery has attracted considerable attention as the ultimate lithium secondary battery for high energy density. However, safety issues and battery performance deterioration due to ...the growth of lithium dendrites have hampered the practical use of lithium metal batteries. Recently, lithium fluoride has been considered as a lithium metal protective layer to solve this problem. In this review, firstly, the results of the studies on dendrites and SEI that have been carried out to date are reviewed. Secondly, the results of studies on lithium fluoride are divided into additive, artificial SEI, and other methods and the possibilities of their practical use are discussed. Finally, the significance and limitations of the lithium fluoride studies are summarized, and general conclusions and prospects for recommended research directions to accelerate the commercialization of lithium metal batteries are presented.
