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sequential algorithm for low-power encoding internal states of finite state machines

JOURNAL OF COMPUTER AND SYSTEMS SCIENCES INTERNATIONAL 2014年第1期53卷 92-99页

作者： Grzes, T. N. Solov'ev, V. V. Bialystok Tech Univ Bialystok Poland

A heuristic method for encoding internal states (state assignment) of finite state machines (FSMs) so as to reduce their power consumption is proposed. A feature of the proposed approach is that the state assignment procedure takes into account the activity function of the memory elements when the FSM transits from a current state to other states that have already been encoded. A procedure for determining the power consumption of the FSM based on the codes of its internal states and probabilities of appearance of units at each input of the FSM is described. Experiments showed that the proposed approach makes it possible to reduce the power consumption of the FSM by 39% on the average compared with the NOVA algorithm and sometimes by 68%. In conclusion, the possibilities of improving the performance of the proposed algorithm in the synthesis of a specific FSM are discussed and promising directions of further research are indicated.

关键词： sequential algorithm Machines LOW POWER sequential algorithm sequential algorithms finite state machines state machines machinery Power consumption memory element Automata machine State assignment

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HOC based sequential algorithm for time and frequency delay estimation under correlated Gaussian noise environment

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IEICE TRANSACTIONS ON COMMUNICATIONS 2000年第10期E83B卷 2370-2375页

作者： Kim, CS Kim, JK Sungkyunkwan Univ Sch Elect & Comp Engn Suwon Kyung Ki Do South Korea

A new method is introduced for sequential estimation of TDOA (time delay of arrival) and FDOA (frequency delay of arrival) in a two sensor array. The proposed scheme is basically a two step algorithm utilizing 1-dimensional slice functions of the third order cumulants between two signal measurements, and is capable of suppressing the effect of correlated Gaussian measurement noises. It is demonstrated that the proposed algorithm outperforms existing TDOA/FDOA estimation algorithms from the viewpoint of computational burden and in the sense of mean squared error as well.

关键词： HOC sequential algorithm time delay frequency delay correlated noise

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A new TLS-based sequential algorithm to identify two failed satellites

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INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS 2005年第2期3卷 166-172页

作者： Jeon, CW Lachapelle, G Soonchunhyang Univ Div Informat Technol Engn Asan 336745 Choongnam South Korea Univ Calgary Dept Geomat Engn Calgary AB T2N 1N4 Canada

With the development of RAIM techniques for single failure, increasing interest has been shown in the multiple failure problem. As a result, numerous approaches have been used in attempts to tackle this problem. This paper considers the two failure problem with total least squares (TLS) technique, a solution that has rarely been addressed because TLS requires an immense number of computations. In this paper, the special form of the observation matrix H, (that is, one column is exactly known) is exploited so as to develop an algorithm in a sequential form, thereby reducing computational load. The algorithm permits the advantages of TLS without the excessive computational burden. The proposed algorithm is verified through a numerical simulation.

关键词： GPS RAIM sequential algorithm total least squares

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Heat flux distribution model by sequential algorithm of inverse heat transfer for determining workpiece temperature in creep feed grinding

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INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE 2006年第15期46卷 2086-2093页

作者： Kim, Hae-Ji Kim, Nam-Kyung Kwak, Jae-Seob Pukyong Natl Univ Sch Mech Engn Pusan South Korea

The purpose of this study is to determine the heat flux distribution and to estimate the workpiece temperature in creep feed grinding. The sequential algorithm of the inverse heat transfer was used for determining the heat flux distribution. The amount of heat flux to the workpiece, the energy partition and the convective heat transfer coefficients both at the front and at the back of the heat flux were determined. Three heat source models using the determined amount of heat flux were applied to estimate the workpiece temperature. The workpiece temperatures estimated by the heat source models were compared with that measured by the embedded thermocouple. The scalene triangle model correlated best with measured and theoretical temperature profiles obtained for creep feed grinding. (c) 2006 Elsevier Ltd. All rights reserved.

关键词： heat flux distribution sequential algorithm creep feed grinding heat source models embedded thermocouple

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A sequential algorithm for sparse support vector classifiers

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PATTERN RECOGNITION 2013年第4期46卷 1195-1208页

作者： Peng, Jian-Xun Ferguson, Stuart Rafferty, Karen Stewart, Victoria Queens Univ Belfast Sch Elect Elect Engn & Comp Sci Belfast BT9 5AH Antrim North Ireland

Support vector machines (SVMs), though accurate, are not preferred in applications requiring high classification speed or when deployed in systems of limited computational resources, due to the large number of support vectors involved in the model. To overcome this problem we have devised a primal SVM method with the following properties: (1) it solves for the SVM representation without the need to invoke the representer theorem, (2) forward and backward selections are combined to approach the final globally optimal solution, and (3) a criterion is introduced for identification of support vectors leading to a much reduced support vector set. In addition to introducing this method the paper analyzes the complexity of the algorithm and presents test results on three public benchmark problems and a human activity recognition application. These applications demonstrate the effectiveness and efficiency of the proposed algorithm. (C) 2012 Published by Elsevier Ltd.

关键词： Support vector classifier sequential algorithm Sparse design

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The sequential algorithm for combined state of charge and state of health estimation of lithium-ion battery based on active current injection

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ENERGY 2020年第0期193卷 66-77页

作者： Song, Ziyou Hou, Jun Li, Xuefeng Wu, Xiaogang Hu, Xiaosong Hofmann, Heath Sun, Jing Univ Michigan Dept Naval Architecture & Marine Engn Ann Arbor MI 48109 USA Univ Michigan Dept Elect Engn & Comp Sci Ann Arbor MI 48109 USA Harbin Univ Sci & Technol Coll Elect & Elect Engn Harbin 150080 Peoples R China Chongqing Univ Dept Automot Engn Chongqing 400044 Peoples R China

When the State of Charge, State of Health, and parameters of a Lithium-ion battery are estimated simultaneously, estimation accuracy is hard to be ensured due to uncertainties in the estimation process. A sequential algorithm, which uses frequency-scale separation and estimates parameters/states sequentially by injecting currents with different frequencies, is proposed in this paper to improve estimation performance. Specifically, by incorporating a high-pass filter, the parameters can be independently characterized by injecting high-frequency and medium-frequency currents, respectively. Using the estimated parameters, battery capacity and State of Charge can then be estimated concurrently. Experimental results show that the estimation accuracy of the proposed sequential algorithm is much better than the concurrent algorithm where all parameters/states are estimated simultaneously, and the computational cost can also be reduced. Finally, experiments are conducted at different temperatures to verify the effectiveness of the proposed algorithm for varying battery capacities. (C) 2019 Elsevier Ltd. All rights reserved.

关键词： Lithium-ion battery SoC/SoH estimation sequential algorithm Active current injection

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Enhanced sentiment labeling and implicit aspect identification by integration of deep convolution neural network and sequential algorithm

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CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS 2019年第3-Sup期22卷 S5839-S5857页

作者： Feng, Jinzhan Cai, Shuqin Ma, Xiaomeng Huazhong Univ Sci & Technol Sch Management Wuhan 430074 Hubei Peoples R China China Merchants Bank Post Doctoral Sci Res Workstn Shenzhen 518040 Guangdong Peoples R China

The existing methods for Chinese sentiment Labeling mainly relies on the artificial sentiment corpus, but a sentiment word in the corpus may not be sentiment words in different sentences. This paper proposes a new method to label the words in the sentences by combining deep convolution neural network with sequential algorithm., We first extract the aspects comprised by words vectors, part of speech vectors, dependent syntax vectors to train the deep convolution neural network, and then employ the sequential algorithm to obtain the sentiment annotation of the sentence. Experimental results verify that our method is effective for sentiment labeling. Considering that the identification of the implicit aspects can improve the completeness of sentiment analysis, we suggest to construct the tuples including aspect, sentiment shifter, sentiment intensity, sentiment words after obtaining the sentiment labels for each word in the sentence. We develop new algorithm for implicit aspect identification by taking the two key factors of the aspects as a topic and the match degree of aspects and sentiment words, and the human language habit. The experiment demonstrates that the algorithm can effectively identify the implicit aspect. In this paper, we solve the problem of sentiment labeling and implicit aspect recognition in sentiment analysis. As a new tool for sentiment analysis, our method can be applied to the enterprise management information analysis, such as product online review, product online reputation, brand image and consumer preference management, and can also be used for the sentiment analysis of large-scale text data.

关键词： Sentiment labeling Implicit aspect Deep convolution neural network sequential algorithm Sentiment analysis Deep learning

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Development of a sequential algorithm for a GNSS-Based multi-sensor vehicle navigation system

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INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS 2004年第2期2卷 165-170页

作者： Jeon, CW Jee, GI Lachapelle, G Soonchunhyang Univ Div Informat Technol Engn Asan 336745 Choongnam South Korea Konkuk Univ Dept Elect Engn Seoul 143701 South Korea Univ Calgary Dept Geomat Engn Calgary AB T2N 1N4 Canada

RAIM techniques based on TLS have rarely been addressed because TLS requires a great number of computations. In this paper, the particular form of the observation matrix H, is exploited so as to develop a new TLS-based sequential algorithm to identify an errant satellite. The algorithm allows us to enjoy the advantages of TLS with less computational burden. The proposed algorithm is verified through a numerical simulation.

关键词： GPS RAIM sequential algorithm total least squares (TLS)

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N-terminal propeptide of type 3 collagen-based sequential algorithm can identify high-risk steatohepatitis and fibrosis in MAFLD

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HEPATOLOGY INTERNATIONAL 2023年第1期17卷 190-201页

作者： Tang, Liang-Jie Li, Gang Eslam, Mohammed Zhu, Pei-Wu Chen, Sui-Dan Leung, Howard Ho-Wai Huang, Ou-Yang Wong, Grace Lai-Hung Zhou, Yu-Jie Karsdal, Morten Leeming, Diana Julie Jiang, Pei Wang, Cong Yuan, Hai-Yang Byrne, Christopher D. Targher, Giovanni George, Jacob Wong, Vincent Wai-Sun Zheng, Ming-Hua Wenzhou Med Univ MAFLD Res Ctr Dept Hepatol Affiliated Hosp 1 2 Fuxue Lane Wenzhou 325000 Peoples R China Westmead Hosp Storr Liver Ctr Westmead Inst Med Res Westmead NSW Australia Univ Sydney Sydney NSW Australia Wenzhou Med Univ Dept Lab Med Affiliated Hosp 1 Wenzhou Peoples R China Wenzhou Med Univ Dept Pathol Affiliated Hosp 1 Wenzhou Peoples R China Chinese Univ Hong Kong Dept Anat & Cellular Pathol Hong Kong Peoples R China Chinese Univ Hong Kong Prince Wales Hosp 9F Dept Med & Therapeut Sha Tin 30-32 Ngan Shing St Hong Kong Peoples R China Chinese Univ Hong Kong State Key Lab Digest Dis Hong Kong Peoples R China Shanghai Jiao Tong Univ Div Gastroenterol & Hepatol Key Lab Gastroenterol & Hepatol Minist HlthRenji HospSch MedShanghai Inst Dige Shanghai Peoples R China Nordic Biosci Biomarkers & Res AS Herlev Denmark Fosun Diagnost Shanghai Co Ltd Shanghai Peoples R China Southampton Gen Hosp Univ Hosp Southampton Southampton Natl Inst Hlth Res Biomed Res Ctr Southampton Hants England Univ & Azienda Osped Univ Integrata Verona Dept Med Sect Endocrinol Diabet & Metab Verona Italy Wenzhou Med Univ Inst Hepatol Wenzhou Peoples R China Key Lab Diag & Treatment Dev Chron Liver Dis Zhej Wenzhou Peoples R China Univ Macau Fac Hlth Sci Canc Ctr Taipa Macao Peoples R China

Background and aims With metabolic dysfunction-associated fatty liver disease (MAFLD) incidence and prevalence sharply increasing globally, there is an urgent need for non-invasive diagnostic tests to accurately screen high-risk MAFLD patients for liver inflammation and fibrosis. We aimed to develop a novel sequential algorithm based on N-terminal propeptide of type 3 collagen (PRO-C3) for disease risk stratification in patients with MAFLD. Methods A derivation and independent validation cohort of 327 and 142 patients with biopsy-confirmed MAFLD were studied. We compared the diagnostic performances of various non-invasive scores in different disease states, and a novel sequential algorithm was constructed by combining the best performing non-invasive scores. Results For patients with high-risk progressive steatohepatitis (i.e., steatohepatitis + NAFLD activity score >= 4 + F >= 2), the AUROC of FAST score was 0.801 (95% confidence interval (CI): 0.739-0.863), and the negative predictive value (NPV) was 0.951. For advanced fibrosis (>= F3) and cirrhosis (F4), the AUROCs of ADAPT and Agile 4 were 0.879 (95%CI 0.825-0.933) and 0.943 (95%CI 0.892-0.994), and the NPV were 0.972 and 0.992. sequential algorithm of ADAPT + Agile 4 combination was better than other combinations for risk stratification of patients with severe fibrosis (AUROC = 0.88), with similar results in the validation cohort. Meanwhile, in all subgroup analyses (stratifying by sex, age, diabetes, NAS, BMI and ALT), ADAPT + Agile 4 had a good diagnostic performance. Conclusions The new sequential algorithm reliably identifies liver inflammation and fibrosis in MAFLD, making it easier to exclude low-risk patients and recommending high-risk MAFLD patients for clinical trials and emerging pharmacotherapies.

关键词： Metabolic dysfunction-associated fatty liver disease Steatohepatitis sequential algorithm Fibrosis staging

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An Approach to Polymer Translocation via a sequential algorithm

An Approach to Polymer Translocation via a Sequential Algori...

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World Congress on Engineering and Computer Science

作者： Domanski, Zbigniew Grzybowski, Andrzej Czestochowa Tech Univ Dabrowskiego 69 PL-42201 Czestochowa Poland

ISBN: (纸本)9789881925244

The translocation of a polymer belongs to a class of important bio-chemical processes. We propose a sequential algorithm designed to reduce the complexity involved in the dynamics of polymer molecular transport. The key concept behind our algorithm is the sequentialization of a polymer movement between its consecutive conformations into a sequence of steps, a picture borrowed from the definition of an optimal strategy within the theory of games played sequentially. As an example we apply our algorithm to study, in two dimensions, the driven translocation of a polymer-like structure with the length of N monomers through a flat membrane containing two holes separated by the distance A. We study the statistics of the translocation time iota computed as the time consumed by the polymer to pass from one side of the membrane to another one as a function of N and A. The presence of two close lying holes frustrates the passing polymer and we observe that the average value of iota oscillates around the scaling function (N/Delta)(1.8t).

关键词： multi-hole membrane passage time polymer translocation sequential algorithm

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