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A Comparative Study of Staff Removal Algorithms

C. Dalitz, M. Droettboom, B. Pranzas, I. Fujinaga
2008 IEEE Transactions on Pattern Analysis and Machine Intelligence  
This paper presents a quantitative comparison of different algorithms for the removal of stafflines from music images.  ...  It contains a survey of previously proposed algorithms and suggests a new skeletonization based approach.  ...  ACKNOWLEDGMENTS The authors are grateful to Thomas Karsten and Florian Pose for implementing the vector field computation and the "line tracking" algorithm.  ... 
doi:10.1109/tpami.2007.70749 pmid:18369247 fatcat:hcre7y6zsjhetlpump3ndxmjcy

A Robust Staff Line Height and Staff Line Space Estimation for the Preprocessing of Music Score Recognition
악보인식 전처리를 위한 강건한 오선 두께와 간격 추정 방법

In-Seop Na, Soo-Hyung Kim, Trung Quy Nquyen
2015 Journal of Internet Computing and services  
Each column of edge image is encoded by run-length encoding algorithm Second step, we detect the staff line using by Stable Path algorithm and removal the staff line using by adaptive Line Track Height  ...  But in case of complex background music sheet image, the binarization results from common binarization algorithm are not satisfactory.  ...  In [16] , Dalitz et al did a comparative study of staff line removal algorithms, and they divided staff line removal approaches into four main categories: Line Tracking [5, 17, 18] , Vector Field [19  ... 
doi:10.7472/jksii.2015.16.1.29 fatcat:7o3iyhtzrvffhdwb46754zgj7e

Electronic versus traditional chest tube drainage following lobectomy: a randomized trial

M. Lijkendijk, P. B. Licht, K. Neckelmann
2015 European Journal of Cardio-Thoracic Surgery  
This algorithm allowed delegation of chest tube removal to staff nurses, and in some patients chest tubes could be removed safely on the day of surgery.  ...  METHODS: Patients undergoing lobectomy were included in a prospective open label RCT. A strict algorithm was designed for early chest tube removal, and this decision was delegated to staff nurses.  ...  Our study confirms that the decision to remove chest tubes can be successfully delegated to the staff nurse in care of newly operated lung cancer patients.  ... 
doi:10.1093/ejcts/ezu535 pmid:25605828 fatcat:mxq37ucxendx5o4jh56idslm5m

Optical Measure Recognition In Common Music Notation

Gabriel Vigliensoni, Gregory Burlet, Ichiro Fujinaga
2013 Zenodo  
) of Canada.  ...  This project has been funded with the generous financial support of the Deutsche Forschungsgemeinschaft (DFG) as part of the Edirom project, and the Social Sciences and Humanities Research Council (SSHRC  ...  However, a comparative study established that there is no single superior algorithm for performing staffline removal [4] .  ... 
doi:10.5281/zenodo.1417024 fatcat:psrzmq44s5dtbfbz4dnh2bfwjm

Optical recognition of music symbols

A. Rebelo, G. Capela, Jaime S. Cardoso
2009 International Journal on Document Analysis and Recognition  
We present in this article a comparative study of several recognition algorithms of music symbols.  ...  After a review of the most common procedures used in this context, their respective performances are compared using both real and synthetic scores.  ...  It is our intention, in future work, to incorporate the prior knowledge of the musical rules in the recognition of symbols.  ... 
doi:10.1007/s10032-009-0100-1 fatcat:4ujsn3wrvjdztllvs3q43xkiye

The Impact of Accelerometer Use in Exercise-Associated Hypoglycemia Prevention in Type 1 Diabetes

Matthew Stenerson, Fraser Cameron, Shelby R. Payne, Sydney L. Payne, Trang T. Ly, Darrell M. Wilson, Bruce A. Buckingham
2014 Journal of Diabetes Science and Technology  
implemented by study staff.  ...  /heart rate monitor. 6 The activity-informed algorithm showed superior hypoglycemia mitigation compared to the PLGS algorithm alone using in silico testing. 7 The current study investigates the effectiveness  ...  Funding The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This work was supported in part by the Lilly Endocrine Scholars  ... 
doi:10.1177/1932296814551045 pmid:25231116 pmcid:PMC4495548 fatcat:umvmply4ifc7jl5p7226emo3uu

Staff Detection with Stable Paths

J. dos Santos Cardoso, A. Capela, A. Rebelo, C. Guedes, J. Pinto da Costa
2009 IEEE Transactions on Pattern Analysis and Machine Intelligence  
We investigate a general-purpose, knowledge-free method for the automatic detection of music staff lines based on a stable path approach.  ...  The processing of handwritten musical scores by computers remains far from ideal. One of the fundamental stages to carry out this task is the staff line detection.  ...  ACKNOWLEDGMENTS This work was partially funded by Fundac ¸a ˜o para a Cincia e a Tecnologia (FCT)-Portugal through project PTDC/EIA/71225/ 2006.  ... 
doi:10.1109/tpami.2009.34 pmid:19372615 fatcat:fc5sbxrmgbczvonagoso57xsou

Classification of optical music symbols based on combined neural network

Cuihong Wen, Ana Rebelo, Jing Zhang, Jaime Cardoso
2014 2014 International Conference on Mechatronics and Control (ICMC)  
At the same time, the performance of the new network is compared with the single Neural Network (NN) classifier using the same music scores.  ...  In this paper, a new method for music symbol classification named Combined Neural Network (CNN) is proposed.  ...  Fig. 1 : 1 How OMR can be simplified into five smaller tasks Fig. 2 : 2 Before staff line removal Fig. 3: After staff line removal A.  ... 
doi:10.1109/icmc.2014.7231590 fatcat:qorfjlm25za47jfhta35wqoo3m

An Effective Staff Detection and Removal Technique for Musical Documents

Bolan Su, Shijian Lu, Umapada Pal, Chew Lim Tan
2012 2012 10th IAPR International Workshop on Document Analysis Systems  
This paper proposes an effective staff line detection and removal method that makes use of the global information of the musical document and models the staff line shape.  ...  Musical staff line detection and removal techniques detect the staff positions in musical documents and segment musical score from musical documents by removing those staff lines.  ...  All of the staff removal algorithms make use of these features. However, staff detection and removal is a difficult problem due to the following two aspects.  ... 
doi:10.1109/das.2012.16 dblp:conf/das/SuLPT12 fatcat:k5dg2rovebhn3ipt2qbhmlnh4a

Guided Operators for a Hyper-Heuristic Genetic Algorithm [chapter]

Limin Han, Graham Kendall
2003 Lecture Notes in Computer Science  
We apply the algorithm to a geographically distributed training staff and course scheduling problem to compare the computational result with the application of other hyper-GAs.  ...  The aim of a guided hyper-GA is to make the dynamic removal and insertion of heuristics more efficient, and evolve sequences of heuristics in order to produce promising solutions more effectively.  ...  In addition to GAs with a direct chromosome representation, indirect genetic algorithms have been studied widely.  ... 
doi:10.1007/978-3-540-24581-0_69 fatcat:r4u7ajr3ofhjfbhxnsywofhvgq

Recurrent Neural-Based Vehicle Demand Forecasting and Relocation Optimization for Car-Sharing System: A Real Use Case in Thailand

Peerapon Vateekul, Panyawut Sri-iesaranusorn, Pawit Aiemvaravutigul, Adsadawut Chanakitkarnchok, Kultida Rojviboonchai, Dongfang Ma
2021 Journal of Advanced Transportation  
By comparing in real environment in November of 2019, the results show that our model even outperforms the manual relocation by experienced staff.  ...  Finally, the Minimum Cost Maximum Flow algorithm is deployed to maximize forecasted demands, while minimizing the amount of relocations.  ...  Acknowledgments is research was supported by CU Toyota:Hamo. e authors would also like to thank Attawit Chaiyaroj and Amornpong Trakarnkulphun, Department of Computer Engineering, Chulalongkorn University  ... 
doi:10.1155/2021/8885671 fatcat:h6ojfzwivnecnjzhvxqjwsbtsa

An implementation algorithm to improve skin-to-skin practice in the first hour after birth

Kajsa Brimdyr, Karin Cadwell, Jeni Stevens, Yuki Takahashi
2017 Maternal and Child Nutrition  
This paper introduces a novel algorithm to analyse the practice of skin to skin in the first hour using two data sets and suggests opportunities for practice improvement.  ...  Using data from vaginal births in Japan and caesarean births in Australia, the algorithm utilizes data in a new way to highlight challenges to best practice.  ...  Implementation of the algorithm in different locations will strengthen the ability to compare and contrast strengths and barriers of different settings, allowing shared understanding of the challenges  ... 
doi:10.1111/mcn.12571 pmid:29230957 pmcid:PMC5900969 fatcat:d5hp5nomrzaejctv63p42skqky

A Framework for Sharing Staff between Outbound and Inbound Airport Processes

Sultan Alodhaibi, Robert L. Burdett, Prasad K.D.V. Yarlagadda
2020 Mathematics  
It was used to investigate the influences of different staff allocation techniques on the inbound and outbound processes of an airport terminal.  ...  The purpose of the proposed simulation-optimization approach is to enhance passenger satisfaction through ensuring reasonable wait times during processing at the lowest cost possible (minimal staff hours  ...  A number of papers have studied staff scheduling and staff rostering problems.  ... 
doi:10.3390/math8060895 fatcat:g2ra5342ijdcndgfuo3ymxmtbm

AN ADAPTIVE LENGTH CHROMOSOME HYPER-HEURISTIC GENETIC ALGORITHM FOR A TRAINER SCHEDULING PROBLEM [chapter]

Limin Han, Graham Kendall, Peter Cowling
2004 Recent Advances in Simulated Evolution and Learning  
Hyper-GA was introduced by the authors as a genetic algorithm based hyperheuristic which aims to evolve an ordering of low-level heuristics so as to find a good quality solution to a given problem.  ...  The aim of a variable length chromosome is two fold; 1) it allows dynamic removal and insertion of heuristics 2) it allows the GA to find a good chromosome length which could otherwise only be found by  ...  Then, the length is changed by generation 67 and the algorithm . figure 3 and figure 6 compare for very few staff data set.  ... 
doi:10.1142/9789812561794_0027 dblp:conf/seal/HanKC02 fatcat:4dynu75g25hlvk5kooaxlbqlgq

Discovering Performance Evaluation Features of faculty Members using Data Mining Techniques to Support Decision Making

Amani M., Shaimaa Salama
2019 International Journal of Computer Applications  
Based on the resulted decisions for each cluster, a classification algorithm is applied to predict the decision needs to be taken for coming staff.  ...  The use of data mining technology is an effective tool in analyzing the characteristics of staff and evaluating them to support decision-making.  ...  A comparative analysis of the performance of the 4 algorithms was carried out..  ... 
doi:10.5120/ijca2019919417 fatcat:2667jlgx5ndlfp37t2igiop4ve
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