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IEEE International Conference on Systems, Man and Cybernetics

作者： Takashi Kuwahara Itsuki Takahashi Shintaro Harikae Ph.D. Program in Empowerment Informatics School of Integrative and Global Majors University of Tsukuba Ibaraki Japan Independent Ibaraki Japan Graduate School of Systems and Information Engineering University of Tsukuba Ibaraki Japan

ISBN: (数字)9781728185262

ISBN: (纸本)9781728185279

In snowboard training, it is especially important to learn proper weight transfer and to perceive a gap between the perceived movement and the actual body movement. However, previous training systems don't have sufficient function, and the effectiveness of each feedback on weight transfer, which includes not only the front and back but also left and right has not been reported. In this study, we propose and develop a real-time snowboard training system for a novice using visual and auditory feedback, and confirm its basic performance and effectiveness of each feedback. This system mainly consists of four components: (1) a center of pressure (COP) detection device, (2) a posture estimation device, (3) a visual feedback device, (4) an auditory feedback device. We experimented to confirm the feasibility to enhance motor learning by using the developed system and to evaluate the effectiveness of each feedback on weight transfer, which includes not only the front and back but also left and right. In conclusion, we developed a real-time snowboard training system for a novice using visual and auditory feedback and confirmed that our system could assist the proper weight transfer. Furthermore, in short-term learning, we confirmed that the effectiveness of each feedback, and visual feedback or visual and auditory feedback is the best way to enhance motor learning.

关键词： Training Visualization Protocols Snow Real-time systems Floors Sports

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Hybrid Intelligent-Annotation Organ Segmentation on Medical Datasets

Hybrid Intelligent-Annotation Organ Segmentation on Medical ...

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IEEE International Conference on Systems, Man and Cybernetics

作者： Tao Peng Jing Zhao Yidong Gu Gongye Di Lei Zhang Jing Cai School of Future Science and Engineering Soochow University Suzhou China Department of Radiation Oncology UT Southwestern Medical Center Dallas TX USA Department of Ultrasound Tsinghua University Affiliated Beijing Tsinghua Changgung Hospital Beijing China Department of Medical Ultrasound Suzhou Municipal Hospital The Affiliated Suzhou Hospital of Nanjing Medical University Suzhou Jiangsu China Department of Ultrasonic The Affiliated Taizhou People's Hospital of Nanjing Medical University Taizhou China Graduate Program of Medical Physics and Data Science Research Center Duke Kunshan University Kunshan Jiangsu China Department of Health Technology and Informatics The Hong Kong Polytechnic University Hong Kong China

Ultrasound image segmentation is crucial for early disease detection and treatment planning but remains a challenging task due to the low contrast of organ boundaries and varying image quality. Current methods often require manual intervention or have limited accuracy. In this paper, we propose a novel hybrid framework that combines an automatic option polygon segment (AOPS) algorithm and a distributed- and memory-based evolution (DME) algorithm for precise ultrasound organ segmentation. Our pipeline consists of two cascaded stages: (1) a coarse segmentation step using the AOPS algorithm, which determines the number of vertices/clusters without human intervention, and (2) a refinement step using the DME algorithm to hunt for the optimal neural network, which is then used to represent a smooth, explainable mathematical expression of the organ boundary. We employ the fractional backpropagation learning network with L2 regularization (FBLN) for training and use the scaled exponential linear unit (SELU) activation function to address the vanishing gradient problem. This is a new attempt such a hybrid framework is applied to ultrasound organ segmentation tasks, and it demonstrates significant contributions in terms of accuracy, smoothness, and computational efficiency.

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Contour Detection from Ultrasound Kidney Images with A Coarse-to-Fine Approach

Contour Detection from Ultrasound Kidney Images with A Coars...

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IEEE International Conference on Systems, Man and Cybernetics

作者： Tao Peng Yidong Gu Yanqing Xu Caishan Wang Lei Zhang Jing Cai School of Future Science and Engineering Soochow University Suzhou China Department of Radiation Oncology UT Southwestern Medical Center Dallas TX USA Department of Medical Ultrasound the Affiliated Suzhou Hospital of Nanjing Medical University Suzhou Municipal Hospital Suzhou Jiangsu China McDermott Center for Human Growth and Development University of Texas Southwestern Medical Center Dallas Texas USA Department of Ultrasound the Second Affiliated Hospital of Soochow University Suzhou China Graduate Program of Medical Physics and Data Science Research Center Duke Kunshan University Kunshan Jiangsu China Department of Health Technology and Informatics The Hong Kong Polytechnic University Hong Kong China

Ultrasound kidney image segmentation presents significant challenges due to missing or ambiguous boundaries. In this study, we introduce a coarse-to-refinement approach incorporating four novel aspects. Firstly, we leverage the properties of a principal curve (PC) to automatically fine-tune the curve shape and employ a neural network's learning ability to reduce model error. Secondly, a deep fusion learning network is utilized for the coarse segmentation step, incorporating a parallel architecture to enhance deep-learning performance. Thirdly, addressing the limitation of standard PC-based methods in determining the number of vertices automatically, we propose an automatic searching polygon tracking method using a mean shift clustering-based approach to replace the projection and vertex extension step in standard PC-based methods. Lastly, we develop an explainable mathematical map function for the kidney contour, as denoted by the neural network output (i.e., optimized vertices), which aligns well with the ground truth contour. We conducted various experiments to evaluate our method's performance, demonstrating its effectiveness in ultrasound kidney image segmentation.

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Feasibility study of Information Technology Investment (a case study of ODOO ERP: Project Management Module Implementation in Indonesia Based Company) 10

Feasibility study of Information Technology Investment (a ca...

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10th International Conference on ICT for Smart Society, ICISS 2019

作者： Jingga, Fredy Kosala, Raymond Supangkat, Suhono Harso Ranti, Benny School of Information Systems Bina Nusantara University Computer Science Department BINUS Graduate Program-Doctor of Computer Science Information Systems Department Jakarta11480 Indonesia Bina Nusantara University Computer Science Department BINUS Graduate Program-Doctor of Computer Science Jakarta11480 Indonesia Bandung Institute of Technology School of Electrical Engineering and Informatics Bandung Indonesia

ISBN: (纸本)9781728148809

IT Governance are one of the needs in managing Enterprise Level IT. This study shows part of the decision domain of IT Governance Help, which are IT Investment and Prioritization. The purpose of this study is to determine feasibility of implementation open source ERP system Odoo project management module that replaces current system based on operational, economic, and technical aspects. The method used are Fit/Gap Analysis and Cost Benefit model using economic impact worksheet. The analysis is done by comparing the requirement with features owned by current system and Odoo ERP system. This research resulted that Odoo ERP System is feasible in the 3 aspects, the operational feasibility Odoo reaching 72% Fit, the economic feasibility with ROI of 84%, and technical feasibility indicating the technical requirement can be fulfilled by leasing AWS server. The conclusion is the open source ERP system Odoo project management module is feasible to be applied in terms of 3 aspects that have been studied, those are operational, economic, and technical. © 2019 IEEE.

关键词： Cost benefit analysis

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An End-to-End Approach for Recognition of Modern and Historical Handwritten Numeral Strings

An End-to-End Approach for Recognition of Modern and Histori...

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International Joint Conference on Neural Networks (IJCNN)

作者： Andre G. Hochuli Alceu S. Britto Jean P. Barddal Robert Sabourin Luiz E. S. Oliveira Graduate Program in Informatics (PPGIa) Pontifícia Universidade Católica do Paraná Curitiba PR Brazil System Engineering Dept. (LIVIA) École de Technologie Supérieure Montreal QC Canada Department of Informatics (DInf) Universidade Federal do Paraná Curitiba PR Brazil

ISBN: (数字)9781728169262

ISBN: (纸本)9781728169279

An end-to-end solution for handwritten numeral string recognition is proposed, in which the numeral string is considered as composed of objects automatically detected and recognized by a YoLo-based model. The main contribution of this paper is to avoid heuristic-based methods for string preprocessing and segmentation, the need for task-oriented classifiers, and also the use of specific constraints related to the string length. A robust experimental protocol based on several numeral string datasets, including one composed of historical documents, has shown that the proposed method is a feasible end-to-end solution for numeral string recognition. Besides, it reduces the complexity of the string recognition task considerably since it drops out classical steps, in special preprocessing, segmentation, and a set of classifiers devoted to strings with a specific length.

关键词： Handwriting recognition Training Feature extraction Computer architecture Proposals Machine learning Task analysis

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On the Performance of Industrial Wireless Sensor Networks: Channel Hopping vs. Channel Adaptive Protocols 1

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6th International Conference on Sensor Networks, SENSORNETS 2017 and 7th International Conference on Sensor Networks, SENSORNETS 2018

作者： Gomes, Ruan D. Benavente-Peces, Cesar Alencar, Marcelo S. Queiroz, Diego V. Fonseca, Iguatemi E. Post-Graduate Program in Electrical Engineering Federal University of Campina Grande Campina Grande Brazil Informatics Coordination Federal Institute of Paraiba Guarabira Brazil Signal Theory and Communications Department Universidad Politecnica de Madrid Madrid Spain Informatics Center Federal University of Paraiba Joao Pessoa Brazil

ISBN: (数字)9783030301101

ISBN: (纸本)9783030301095

The standard IEEE 802.15.4e shows several improvements which makes it outperforming the predecessor IEEE 802.15.4 standard. A remarkable improvement is the use of multiple channels and the capability to choose the most convenient depending on the network links state. Hence, different techniques can be provisioned to dynamically select the most appropriate channel for establishing the link through an adaptive mechanism. During the contention-free periods, the Time-Slotted Channel Hopping (TSCH) mode is based on channel hopping while the Deterministic and Synchronous Multi-channel Extension (DSME) mode uses either channel hopping or channel adaptation. In scenarios where channel diversity techniques are used for channel adaptation nodes links are established using the same channel as long as the channel quality (SNR) is high enough. In consequence to guarantee link best performance, its quality must be measured periodically to decide whether continue in the same channel of switch to a better performance one. Our investigation focuses on the analysis of the performance of three different approaches which pretend to take advantage of the multichannel capabilities of the new standard, based on the DSME protocol: CH-DSME which is based on a simple channel hopping mechanism, CA-DSME which employs channel adaptation, and a novel hybrid approach (H-DSME) which combines channel hopping and channel adaptation. This investigation shows that, in an industrial environment, the H-DSME outperforms both CH-DSME and CA-DSME approaches. In this work, the Castalia simulator was used to perform the simulations, using a reliable simulation model, which captures the characteristics of the wireless channel in industrial environments in long range basis. The analysis demonstrates that channel adaptation is better than channel hopping for unicast packets transmission, when links quality are continuously measured. Nevertheless, the coordinator transmit packets in broadcast mode, it is demonst

关键词： Wireless sensor networks

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Motion robust 4D-MRI sorting based on anatomic feature matching: A digital phantom simulation study

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Radiation Medicine and Protection 2020年第1期1卷 41-47页

作者： Zi Yang Lei Ren Fang-Fang Yin Xiao Liang Jing Cai Medical Physics Graduate Program Duke UniversityDurhamNCUSA Department of Radiation Oncology Duke University Medical CenterDurhamNCUSA Department of Health Technology and Informatics The Hong Kong Polytechnic UniversityKowloonHong KongChina

Purpose:Motion artifacts induced by breathing variations are common in 4D-MRI *** study aims to reduce the motion artifacts by developing a novel,robust 4D-MRI sorting method based on anatomic feature matching and applicable in both cine and sequential ***:The proposed method uses the diaphragm as the anatomic feature to guide the sorting of 4D-MRI ***,both abdominal 2D sagittal cine MRI images and axial MRI images were *** sagittal cine MRI images were divided into 10 phases as ground ***,the phase of each axial MRI image is determined by matching its diaphragm position in the intersection plane to the ground truth cine ***,those matched phases axial images were sorted into 10-phase bins which were identical to the ground truth cine ***,10-phase 4D-MRI were reconstructed from these sorted axial *** accuracy of reconstructed 4D-MRI data was evaluated by comparing with the ground truth using the 4D eXtended Cardiac Torso(XCAT)digital *** effects of breathing signal,including both regular(cosine function)and irregular(patient data)in both axial cine and sequential scanning modes,on reconstruction accuracy were investigated by calculating total relative error(TRE)of the 4D volumes,Volume-Percent-Difference(VPD)and Center-of-Mass-Shift(COMS)of the estimated tumor volume,compared with the ground truth XCAT ***:In both scanning modes,reconstructed 4D-MRI images matched well with ground truth with minimal motion *** averaged TRE of the 4D volume,VPD and COMS of the EOE phase in both scanning modes are 0.32%/1.20%/0.05 mm for regular breathing,and 1.13%/4.26%/0.21 mm for patient irregular ***:The preliminary evaluation results illustrated the feasibility of the robust 4D-MRI sorting method based on anatomic feature *** method provides improved image quality with reduced motion artifacts for both cine and sequential scanning modes.

关键词： Motion artifacts 4D-MRI XCAT Liver cancer Simulation

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Finite-time Analysis of Globally Nonstationary Multi-Armed Bandits

arXiv

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arXiv 2021年

作者： Komiyama, Junpei Fouché, Edouard Honda, Junya Stern School of Business New York University 44 West 4th Street New YorkNY United States Institute for Program Structures and Data Organization Karlsruhe Institute of Technology Am Fasanengarten 5 Karlsruhe76131 Germany Department of Systems Science Graduate School of Informatics Kyoto University Yoshida Honmachi Sakyo-ku Kyoto606-8501 Japan

We consider nonstationary multi-armed bandit problems where the model parameters of the arms change over time. We introduce the adaptive resetting bandit (ADR-bandit), a bandit algorithm class that leverages adaptive windowing techniques from literature on data streams. We first provide new guarantees on the quality of estimators resulting from adaptive windowing techniques, which are of independent interest. Furthermore, we conduct a finite-time analysis of ADR-bandit in two typical environments: an abrupt environment where changes occur instantaneously and a gradual environment where changes occur progressively. We demonstrate that ADR-bandit has nearly optimal performance when abrupt or gradual changes occur in a coordinated manner that we call global changes. We demonstrate that forced exploration is unnecessary when we assume such global changes. Unlike the existing nonstationary bandit algorithms, ADR-bandit has optimal performance in stationary environments as well as nonstationary environments with global changes. Our experiments show that the proposed algorithms outperform the existing approaches in synthetic and real-world environments. © 2021, CC BY.

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Evaluation of drug repositioning by molecular docking of pharmaceutical resources available in the Brazilian healthcare system against SARS-CoV-2

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informatics in Medicine Unlocked 2021年 23卷 100539页

作者： Grahl, Matheus V.C. Alcará, Allan M. Perin, Ana Paula A. Moro, Carlo F. Pinto, Éderson S.M. Feltes, Bruno C. Ghilardi, Isadora M. Rodrigues, Felipe V.F. Dorn, Marcio da Costa, Jaderson C. Norberto de Souza, Osmar Ligabue-Braun, Rodrigo Brain Institute of Rio Grande do Sul (BraIns) Pontifical Catholic University of Rio Grande do Sul Porto Alegre Brazil Graduate Program in Medicine and Health Sciences Pontifical Catholic University of Rio Grande do Sul Porto Alegre Brazil Graduate Program in Medicine Pediatrics and Child Health Pontifical Catholic University of Rio Grande do Sul Porto Alegre Brazil Graduate Program in Cellular and Molecular Biology Center of Biotechnology Federal University of Rio Grande do Sul RS Brazil Laboratory of Structural Bioinformatics and Computational Biology Institute of Informatics Federal University of Rio Grande do Sul RS Brazil Laboratory of Immunobiology and Immunogenetics Institute of Biosciences Federal University of Rio Grande do Sul RS Brazil School of Technology Pontifical Catholic University of Rio Grande do Sul Porto Alegre Brazil Department of Pharmacosciences and Graduate Program in Biosciences (PPGBio) Federal University of Health Sciences of Porto Alegre Porto Alegre Brazil

In 2020 SARS-CoV-2 reached pandemic status, reaching Brazil in mid-February. As of now, no specific drugs for treating the disease are available. In this work, the possibility of interaction between SARS-CoV-2 viral proteins (open and closed spike protein, isolate spike protein RBD, NSP 10, NSP 16, main protease, and RdRp polymerase) and multiple molecules is addressed through the repositioning of drugs available for the treatment of other diseases that are approved by the FDA and covered by SUS, the Brazilian Public Health System. Three different docking software were used, followed by a unification of the results by independent evaluation. Afterwards, the chemical interactions of the compounds with the targets were inspected via molecular dynamics and analyzed. The results point to a potential effectiveness of Penciclovir, Ribavirin, and Zanamivir, from a set of 48 potential candidates. They may also be multi-target drugs, showing high affinity with more than one viral protein. Further in vitro and in vivo validation is required to assess the suitability of repositioning the proposed drugs for COVID-19. © 2021 The Authors

关键词： COVID19 Drug repositioning Molecular docking SARS-CoV-2 SUS

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Development of Knowledge Management System for Determining Organizational Performances, Total Quality Management, And Culture

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Journal of Physics: Conference Series 2020年第2期1529卷

作者： RZ. Abdul Aziz Delli Maria Siti Nur Laila Muhammad Fauzan Azima Informatics Engineering Department Graduate Program Informatics and Business Institute Darmajaya Bandar Lampung Indonesia Accounting Department Graduate Program Informatics and Business Institute Darmajaya Bandar Lampung Indonesia

Free market stipulated organizations to improve quality and competitiveness. To achieve this improvement, companies had to implement Total Quality Management so that the vision and mission of companies as one of the main competing factors in the free market were achieved. Many companies had problems in measuring and implementing the organizational performance and Total Quality Management because it needed enough budgets so that a system was needed to measure this organizational performance. The objective of this study was (1) to measure the organizational performance, (2) to measure the implementation of Total Quality Management, and (3) to measure the organizational culture by using Knowledge Management System (KMS)-based approach at Micro, Small & Medium Enterprises (MSMEs). The advantage of this study was to provide the best recommendations for companies. To develop this system, the writers conducted surveys to several MSMEs, invited experts and practitioners to acquire the knowledge, and carried out the literature study to obtain the recommendation about the best organizational culture at MSMEs. This study developed software used to measure the organizational performance, Total Quality Management, and organizational culture is seen from the Knowledge Management System (KMS) principles. The developed software had been examined to several companies and MSMEs with a very high level of accuracy in giving a recommendation.

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