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作者： Vernardis, S.I. Chrysanthopoulos, P.K. Goudar, C.T. Klapa, M.I. Foundation for Research and Technology-Hellas Metabolic Engineering and Systems Biology Laboratory Institute of Chemical Engineering and High-Temperature Chemical Processes Patras GR- 265 04 Greece Cell Culture Development Global Biological Development Bayer HealthCare 800 Dwight Way Berkeley CA 94710 United States Interdepartmental Graduate Program in Informatics in Life Sciences Medical School University of Patras Greece Departments of Chemical and Biomolecular Engineering and Bioengineering University of Maryland College Park MD 20742 United States

ISBN: (纸本)9783902661708

So far, cell culture engineering has used the high-throughput transcriptional and more recently protein profiling techniques attempting to further understand and resolve significant issues regarding the cell culture performance and its optimization. At the metabolic level, flux analysis has been used to monitor changes in the metabolic state that could affect the successful outcome of cell cultures. Metabolomics, referring to the simultaneous quantification of the (relative) concentration of the free small metabolites, is the most recently introduced high-throughput method for the measurement of the metabolic fingerprint of a biological system. Considering the role of metabolism in the context of the overall cellular function, it is easily understandable why quantifying a complete and accurate metabolomic profile is foreseen to have a major positive impact in cell culture engineering research. We will present application of Gas Chromatorgaphy-Mass Spectrometry metabolomics to monitor and analyze mammalian cell culture systems. Specifically, two bioreactor processes will be discussed in which baby hamster kidney cells were cultivated in high-cell density perfusion reactors at both laboratory and manufacturing scales and samples were analyzed over the course of the cultivation. Metabolomics enabled the differentiation between cell cultures based on bioreactor type, and stage of cell growth. Multivariate statistical analysis enabled the identification of the metabolites whose change in concentration was characteristic of the modification in any of these macroscopic parameters. The acquired results support the usefulness of metabolomics as a molecular analysis tool in cell culture engineering. © 2010 IFAC.

关键词： Bioreactors

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Continuous Wrist Joint Control using Muscle Deformation Measured on Forearm Skin

Continuous Wrist Joint Control using Muscle Deformation Meas...

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IEEE International Conference on Robotics and Automation

作者： Akira Kato Masato Hirabayashi Yuya Matsumoto Yasutaka Nakashima Yo Kobayashi Masakatsu G. Fujie Shigeki Sugano Graduate Program for Embodiment Informatics Waseda University Tokyo Japan Graduate Schools of Creative Science and Engineering Waseda University Tokyo Japan Faculty of Engineering Kyushu University Fukuoka Japan JST PRESTO Future Robotics Organization Waseda Universit Tokyo Japan Faculty of Science and Engineering Waseda University Tokyo Japan

Continuous, easy-to-implement, accurate inference of intended joint angles is important for effectively controlling powered prosthetic devices that can improve the lives and capabilities of upper-limb amputees. Estimation of intended joint angles is difficult because conventional biosignals are not directly related to the intended angle motion. In previous work, we began to address this issue by confirming that both transradial amputees and intact subjects, the measured deformation of the muscle bulge on the skin surface change according to the intended wrist joint angle. This paper presents a continuous prosthesis wrist joint control method using this deformation signal. We here verify the effectiveness of the distribution of the muscle bulge for accurate and stable wrist joint angle control in real time. The wrist joint angles were calculated in real time from a muscle viscoelastic model using the previously determined algorithm. We compared the error between measured and estimated angles with a conventional method, the Voigt model, and the KelvinVoigt model. Experimental results obtained for three intact people over three trials of wrist movement tasks gave the accuracy and stability of 7.96±6.16° when using the Voigt model;this is a similar performance compared to related work using a surface electromyogram. A method for continuously controlling the wrist joint angle for a prosthesis using the distribution of the muscle bulge was thus successfully established.

关键词： Wrist Muscles Strain Skin Prosthetic hand Mathematical model Estimation

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VLSI Design of Tree-Based Inference for Low-Power Learning Applications

VLSI Design of Tree-Based Inference for Low-Power Learning A...

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IEEE International Symposium on Circuits and Systems (ISCAS)

作者： Brunno A. Abreu Mateus Grellert Sergio Bampi Graduate Program in Microelectronics (PGMICRO) INF-UFRGS Federal University of Rio Grande do Sul Porto Alegre Brazil Department of Informatics and Statistics − INE Federal University of Santa Catarina (UFSC) Florianópolis Brazil Graduate Program on Electronic Engineering and Computing Catholic University of Pelotas (UCPel) Pelotas Brazil

ISBN: (数字)9781728133201

ISBN: (纸本)9781728133218

The use of Machine Learning techniques in battery-powered devices has increased in recent years. Therefore, evaluating power-accuracy trade-offs of inference models has become important. This work explores decision trees architectures, analyzing the effects of model complexity and approximation in power and accuracy. By quantizing the inputs to limited widths, we increased the accuracy of the models in up to 8.7% compared to precise cases. In terms of power, the variation in model complexity was more significant than in input width, as we obtained reductions of up to 97% by decreasing the tree depth, compared to 88% when decreasing the width.

关键词： Complexity theory Hardware Integrated circuit modeling Training Analytical models Decision trees Quantization (signal)

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Creating Mathematical Models to Help Formulate Company Strategies for Knowledge Management System Implementation

Creating Mathematical Models to Help Formulate Company Strat...

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International Conference on Information Management and Technology (ICIMTech)

作者： Wahyu Sardjono Widhilaga Gia Perdana Dewi Sagita Pranata Information Systems Management Department BINUS Graduate Program Master of Information Systems Management Bina Nusantara University Jakarta Indonesia Post Graduate Program of Management Science State University of Jakarta Jakarta Indonesia Department of Informatics Cyber Security Studi Program Faculty of Natural Mathematical & Engineering Sciences King's College London Strands West Minster UK

ISBN: (数字)9798350390025

ISBN: (纸本)9798350390032

This research aims to build a mathematical model to formulate the problems of implementing knowledge management systems in companies that often face obstacles in achieving the desired objectives and goals. With increasing competition in the business sector, organizations or organizations realize the importance of utilizing the knowledge assets that reside in each individual and organization. If this knowledge can be managed optimally, it can become a competitive advantage for the company due to the emergence of innovative ideas by the concepts of knowledge management theory. By implementing optimal knowledge management (KM), companies can design innovative solutions to improve business operations and increase overall revenue. The factor analysis method will be used to find the determining factors for the success of the implementation of knowledge management systems (KMS) and the regression analysis method will also be used to form a mathematical model of several new factors which are formed as independent variables with the current level of community understanding of KMS as the dependent variable. The research results provide insight into strategies to improve success factors to successfully facilitate KMS implementation. This study contributes to existing knowledge management by providing insight into dynamics that go beyond the technical aspects of KMS, ultimately developing strategies for more effective and efficient utilization of knowledge and organizational growth and supporting competitive advantage for companies.

关键词： Performance evaluation Knowledge acquisition Collaboration Companies Knowledge management Mathematical models Regression analysis Information management Problem-solving System implementation

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Sentiment Analysis in Indonesian Trading using Lexicon-based and Support Vector Machine

Sentiment Analysis in Indonesian Trading using Lexicon-based...

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Computer Science, Information Technology and engineering (ICCoSITE), International Conference on

作者： Raymond Sunardi Oetama Yanfi Yanfi Masagus M. Ikhsan Assiddiq U.P Sani Muhamad Isa Information System DepartmentFaculty of Engineering and Informatics Universitas Multimedia Nusantara Jakarta Indonesia Computer Science Department BINUS Graduate Program Computer Science School of Computer Science Bina Nusantara University Jakarta Indonesia Computer Science Department BINUS Graduate Program Computer Science Bina Nusantara University Jakarta Indonesia

Many individuals now trade online utilizing trading software in the digital world. Binomo is one of Indonesia's most popular trading platforms. This is because some influencers made several promises to Binomo customers. Since many customers were deceived, this case became quite popular. This study was executed to see how Indonesians felt about the Binomo application after the case went viral. The solution taken was in the form of sentiment analysis because there had been no previous research on sentiment analysis that discussed the Binomo case. The data was scanned using Netlytic tools, a cloud-based text and social network analyzer capable of identifying any talks on social media sites such as Twitter. The sentiment analysis of Binomo trading tweets by using the Multi-Perspective Question Answering lexicon utilized the KNIME tool. But unfortunately, the accuracy of sentiment analysis results is low. Furthermore, the Support Vector Machine technique is also being conducted. The Term Frequency-Inverse Document Frequency method is applied to perform feature extraction whilst the chi-square approach is utilized to identify features that are thought to be useful for inclusion in the classification process and to exclude features that are irrelevant to the target class. The obtained accuracy is 86%. The study proposes that words from the algorithm's outputs can be utilized to improve the quality of sentiment analysis using the lexicon. As an outcome of the algorithm, positive and negative terms are added to the lexicon, increasing the accuracy of sentiment analysis using the new vocabulary from 58.984% to 71.146%.

关键词： Support vector machines Training Sentiment analysis Vocabulary Dictionaries Social networking (online) Blogs

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Development of Automated Detection Methods for Calculating Blood Vessel Width and Stenosis Rate in Cardiac Catheterization Imaging 24

Development of Automated Detection Methods for Calculating B...

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8th International Conference on Medical and Health informatics, ICMHI 2024

作者： Huang, Hsien-Cheng Chang, Hsiao-Huang Ke, Xiang-Wei Chien, Ting-Ying Department of Computer Science and Engineering Yuan Ze University Taoyuan City Taiwan Cardiovascular Surgery Department Taipei Veterans General Hospital Taipei City Taiwan Taipei Medical University Taipei City Taiwan Graduate Program in Biomedical Informatics Yuan Ze University Taoyuan City Taiwan Innovation Center for Big Data and Digital Convergence Yuan Ze University Taoyuan City Taiwan

ISBN: (纸本)9798400716874

Coronary artery disease is the most prevalent type of heart disease and has a considerable mortality rate. In diagnosing and assessing coronary artery disease, physicians must integrate a variety of clinical information and test results to evaluate the degree of coronary artery obstruction and continually learn and improve their skills in clinical practice to ensure the most accurate assessment of patients. Currently, the use of information technology to assist medical staff allows more effective and accurate analysis of symptoms. This approach not only serves as an auxiliary standard for physician diagnosis, thereby reducing the possibility of misdiagnosis, but also significantly improves patient treatment outcomes and medical quality while reducing the time burden on physicians for diagnosing patients. This study utilized image processing techniques and thinning algorithms to automate the detection of coronary artery width and, following the recommended methods of physicians in related fields, used specific vessel widths to calculate the degree of coronary artery narrowing. This provides a more accurate and efficient assessment method for evaluating the degree of vascular constriction in patients with coronary artery disease. © 2024 Copyright ACM.

关键词： Patient treatment

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Dimensioning Microwave Wireless Networks

Dimensioning Microwave Wireless Networks

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IEEE International Conference on Communications

作者： Alvinice Kodjo Brigitte Jaumard Napoleao Nepomuceno Mejdi Kaddour David Coudert Inria France & Univ. Nice Sophia Antipolis Department of Computer Science and Software Engineering Concordia University Montreal Graduate Program in Applied Informatics University of Fortaleza Department of Computer Science University of Oran

ISBN: (纸本)9781467364300

We aim at dimensioning fixed broadband microwave wireless networks under unreliable channel conditions. As the transport capacity of microwave links is prone to variations due to, e.g., weather conditions, such a dimensioning requires special attention. It can be formulated as the determination of the minimum cost bandwidth assignment of the links in the network for which traffic requirements can be met with high probability, while taking into account that transport link capacities vary depending on channel conditions. The proposed optimization model represents a major step forward since we consider dynamic routing. Experimental results show that the resulting solutions can save up to 45% of the bandwidth cost compared to the case where a bandwidth over-provisioning policy is uniformly applied to all links in the network planning. Comparisons with previous work also show that we can solve much larger instances in significantly shorter computing times, with a comparable level of reliability.

关键词： Bandwidth Modulation Pricing Reliability Microwave communication Routing

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Real-time Snowboard Training System for a Novice Using Visual and Auditory Feedback

Real-time Snowboard Training System for a Novice Using Visua...

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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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Energy Planning and Utilization in the North Sulawesi Electricity System

Energy Planning and Utilization in the North Sulawesi Electr...

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International Conference on Electrical engineering and informatics, ICEEI

作者： Arif Majiid Nusa Pratama Bagas Maulana Sutardi Irfan Zidny Irvan Lewi Hasanuddin Syarif Hidayat Pradita Octaviandiningrum Hadi Graduate Program PLN-ITB PLN Corporate University Jakarta Indonesia PLN UIP3B Sulawesi Makassar Indonesia Bandung Institute of Technology School of Electrical and Informatics Engineering Bandung Indonesia

Energy sector is one of the contributors to climate change besides forestry, environment, and transportation sectors. Then, the results of the COP 26 in Glasgow meeting states that Indonesia have a target to achieve Net Zero Emission (NZE) by 2060 if there is international support for funding and technology with some note that this project does not interfere with availability and affordability. In achieving the zero-emission target, the government is implementing five main principles, which include increasing the use of new renewable energy (NRE), reducing fossil energy, explore the use of electric vehicles in the transportation sector, increasing the use of electricity in households and industries, and utilizing Carbon Capture and Storage (CCS). In this paper several proposals can be made to further reduce production costs and reduce greenhouse gas emissions in the North Sulawesi system compared to Electricity Supply Business Plan by PLN which is called RUPTL. Two additional scenarios can be used for the proposal, which are addition of geothermal, solar and pump hydro to replace coal power plant and construction of North Sulawesi interconnection with Central Sulawesi. From the simulation results of the cost and carbon emission analysis between three scenarios, the scenario from RUPTL is the cheapest in terms of cost at 3.295 billion USD and the interconnection scenario is the smallest in terms of emissions, with CO 2 emissions reaching 0 Mt.

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Estimating Pandemic Effects in Urban Mass Transportation Systems: An Approach Based on Visibility Graphs and Network Similarity

SSRN

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SSRN 2022年

作者： Perez, Yuri Pereira, Fabio Henrique Informatics and Knowledge Management Graduate Program PPGI-UNINOVE Rua Vergueiro 235/249 - Liberdade SP São Paulo01525-000 Brazil Universidade Nove de Julho Industrial Engineering Graduate Program PPGI-UNINOVE Rua Vergueiro 235/249 - Liberdade SP São Paulo01525-000 Brazil

Urban mass transportation systems are critical elements of modern society, exerting influence in the shape, economical development and sustainability of a city. Covid-19 forced population to avoid social contact and the impacts of this scenario on public transportation in different regions of the world are still being discussed. Large metropolitan areas present heterogeneous population groups and exert different mobility roles in urban systems, so, it is important to understand how different regions of the same city may present different mobility dynamics. Here, we present a model to study how and how much different regions of a large urban system were affected by pandemics, converting time series into visibility graphs and comparing them using network similarity methods and geospatial analysis. The methods used here were able to detect an abrupt shock in demand behavior when pandemics started, quantify how different regions absorbed the shock, group lines with similar spatial location and explore if the effects on lines may be related to demand level or bus line length. © 2022, The Authors. All rights reserved.

关键词： Complex networks

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