ON-LINE AUTOMATIC RECOGNITION OF SPOKEN SOUNDS BY A PATTERN MATCHING METHOD

BACKGROUND: DNA sequence alignment is one of the most fundamental and important operation to identify which gene family may contain this sequence, pattern matching for DNA sequence has been a fundamental issue in biomedical engineering, biotechnology and health informatics. OBJECTIVE: To solve this problem, this study proposes an optimal multi pattern matching with wildcards for DNA sequence. METHODS: This proposed method packs the patterns and a sliding window of texts, and the window slides along the given packed text, matching against stored packed patterns. RESULTS: Three data sets are used to test the performance of the proposed algorithm, and the algorithm was seen to be more efficient than the competitors because its operation is close to machine language. CONCLUSIONS: Theoretical analysis and experimental results both demonstrate that the proposed method outperforms the state-of-the-art methods and is especially effective for the DNA sequence.

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A compliant control method for disassembly of non-elastic parts using realised motion

Robotica ◽

10.1017/s0263574700018671 ◽

1995 ◽

Vol 13 (6) ◽

pp. 591-598 ◽

Cited By ~ 1

Author(s):

Yagmur Denizhan

Keyword(s):

Control Method ◽

Recognition System ◽

Automatic Recognition ◽

Human Operator ◽

Control Methods ◽

Compliant Control ◽

On Line

SummaryIn disassembly tasks, due to the large variety of objects and the different positions and orientations in which they appear, the disassembly trajectories supplied on-line by a human operator or an automatic recognition system can contain large errors. The classical compliant control methods turn out to be insufficient to eliminate sticking which is due to these errors. This paper presents a compliant control method for disassembly of non-elastic parts in non-elastic environments which adopts the trajectories according to realised motion. In case of sticking a new direction of motion is searched for until the manipulated part is set into motion.

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Research on the Relative Positions-Constrained Pattern Matching Method for Underwater Gravity-Aided Inertial Navigation

Journal of Navigation ◽

10.1017/s0373463315000235 ◽

2015 ◽

Vol 68 (5) ◽

pp. 937-950 ◽

Cited By ~ 13

Author(s):

Lin Wu ◽

Hubiao Wang ◽

Hua Chai ◽

Houtse Hsu ◽

Yong Wang

Keyword(s):

South China Sea ◽

Pattern Matching ◽

Inertial Navigation System ◽

Inertial Navigation ◽

Success Rates ◽

Simulation Test ◽

Matching Method ◽

Contour Matching ◽

Simulation Results ◽

Straight Lines

A Relative Positions-Constrained pattern Matching (RPCM) method for underwater gravity-aided inertial navigation is presented in this paper. In this method the gravity patterns are constructed based on the relative positions of points in a trajectory, which are calculated by Inertial Navigation System (INS) indications. In these patterns the accumulated errors of INS indicated positions are cancelled and removed. Thus the new constructed gravity patterns are more accurate and reliable while the process of matching can be constrained, and the probability of mismatching also can be reduced. Two gravity anomaly maps in the South China Sea were chosen to construct a simulation test. Simulation results show that with this RPCM method, the shape of the trajectory in gravity-aided navigation is not as restricted as that in traditional Terrain Contour Matching (TERCOM) algorithms. Moreover, the performance included matching success rates and position accuracies are highly improved in the RPCM method, especially for the trajectories that are not in straight lines. Thus the proposed method is effective and suitable for practical navigation.

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Risk Prediction Pattern Matching Method of Construction Project Management System in Big Data Era

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering - Advanced Hybrid Information Processing ◽

10.1007/978-3-030-67871-5_37 ◽

2021 ◽

pp. 411-424

Author(s):

Qiu-yi Li

Keyword(s):

Big Data ◽

Project Management ◽

Risk Prediction ◽

Pattern Matching ◽

Management System ◽

Construction Project ◽

Construction Project Management ◽

Matching Method ◽

Project Management System

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Recognition of Chemical Entities using Pattern Matching and Functional Group Classification

International Journal of Intelligent Information Technologies ◽

10.4018/ijiit.2016100102 ◽

2016 ◽

Vol 12 (4) ◽

pp. 21-44 ◽

Cited By ~ 3

Author(s):

R. Hema ◽

T. V. Geetha

Keyword(s):

Pattern Matching ◽

Functional Group ◽

Named Entity Recognition ◽

Chemical Compounds ◽

Chemical Entity ◽

Entity Recognition ◽

Matching Method ◽

Named Entity ◽

One Way Anova

The two main challenges in chemical entity recognition are: (i) New chemical compounds are constantly being synthesized infinitely. (ii) High ambiguity in chemical representation in which a chemical entity is being described by different nomenclatures. Therefore, the identification and maintenance of chemical terminologies is a tough task. Since most of the existing text mining methods followed the term-based approaches, the problems of polysemy and synonymy came into the picture. So, a Named Entity Recognition (NER) system based on pattern matching in chemical domain is developed to extract the chemical entities from chemical documents. The Tf-idf and PMI association measures are used to filter out the non-chemical terms. The F-score of 92.19% is achieved for chemical NER. This proposed method is compared with the baseline method and other existing approaches. As the final step, the filtered chemical entities are classified into sixteen functional groups. The classification is done using SVM One against All multiclass classification approach and achieved the accuracy of 87%. One-way ANOVA is used to test the quality of pattern matching method with the other existing chemical NER methods.

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