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4th International Conference on Electrical, Electronics, informatics, and Vocational Education, ICE-ELINVO 2021

作者： Barahama, A.D. Wardani, R. Department of Electronics and Informatics Engineering Education Post-Graduate Program Universitas Negeri Yogyakarta Jalan Colombo 01 Daerah Istimewa Yogyakarta 55281 Indonesia

The utilization of data warehouses in various fields is an absolute necessity. A data warehouse is a database that contains large amounts of data that aims to help organizations, fields, and institutions specifically for decision making. Data warehouses can produce important information in the future. Loading data from various sources and processed through an ETL (Extract, Transform, Load) process that displays data consistently is the basis for creating a data warehouse architecture. The development of a data warehouse in education will provide significant benefits for the progress of education. Integration of data and processing results stored in the data warehouse can be the basis for evaluating better planning. Development of data warehouse adopt the multidimensional modelling method which consists of four stages: select the business process, declare the grain, select dimensions, and identify facts. This stage produces a data warehouse architecture and influences and contributes to the advanced information technology in education. © 2021 Institute of Physics Publishing. All rights reserved.

关键词： Data warehouses

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Revealing a Country’s Government Discourse Through BERT-based Topic Modeling in the US Presidential Speeches 11

Revealing a Country’s Government Discourse Through BERT-bas...

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11th International Conference on Computer, Control, informatics and its Applications, IC3INA 2024

作者： Zain, Rafi Mahmud Anggai, Sajarwo Tukiyat Musyafa, Ahmad Waskita, A.A. Graduate Program of Informatics Engineering Universitas Pamulang Pamulang Indonesia Research Center for Data and Information Sciences National Research and Innovation Agency Bandung Indonesia

ISBN: (纸本)9798331542313

This paper analyzes presidential speeches from the United States, delivered by the current president, Joe Biden, from his inauguration until April 3, 2024, using BERT-based topic modeling techniques. Since the role and actions of the United States affect global affairs, inferring latent topics from these speeches are important for making informed decisions and also useful to researchers. We provide experiments combining different embedding methods and clustering algorithms for dimensionality reduction. Our experiment results demonstrated that using DistilBERT embeddings followed by HDBSCAN clustering and UMAP dimensionality reduction consistently produced meaningful and interpretable topics, and this paper introduces the UMASS and NPMI metrics for evaluating topic coherence, with the best values of these metrics among the other schemes investigated. Some of the dominant themes conveyed in the American president’s state of the union speech that were successfully revealed in this study include international cooperation, alongside significant attention to environmental, community, health, and economic issues. © 2024 IEEE.

关键词： Embeddings

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Comparison of potential telemarketing customers predictions with a data mining approach using the MLPNN and RBFNN methods 2

Comparison of potential telemarketing customers predictions ...

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2nd International Conference on Information and Communications Technology, ICOIACT 2019

作者： Puteri, Annisa Nurul Dewiani Tahir, Zulkifli Post-graduate Program of Electrical Engineering Hasanuddin University Makassar Indonesia Dept. Electrical Engineering Hasanuddin University Makassar Indonesia Dept. Informatics Engineering Hasanuddin University Makassar Indonesia

ISBN: (纸本)9781728116556

Bank as a company that has many customers who conduct transactions every day, of course, has data that is increased continuously. In this paper, customer transaction data has been predicted to find potential customers in deposit offer. Data mining approach has been performed to classify potential customers for marketing through telemarketing. This data analysis can be used as a consideration in determining marketing strategy decisions for marketing managers. 15,713 data with 13 class attributes and 1 target class were obtained from UCI Machine Learning repository. The data was divided into 70% training data and 30% test data. Feedforward method of Artificial Neural Network was used to classify customer data. Multilayer Perceptron Neural Network and Radial Basis Function Neural Network were used to obtain optimal classification results. The result of this classification predicted potential customers to subscribe deposits. The result of this study indicated that the Radial Basis Function Neural Network method with 95.3% accuracy and 96.4% sensitivity was a better method compared to the Multilayer Perceptron Neural Network method with 88.0% accuracy and 99.4% sensitivity. © 2019 IEEE

关键词： Data mining

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An observation model for the collaborative analysis of real workplaces

An observation model for the collaborative analysis of real ...

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11th International Conference on Computer Supported Cooperative Work in Design, CSCWD 2007

作者： Machado, Renata Guanaes Borges, Marcos R. S. Guerlain, Stephanie Gomes, Jose Orlando Graduate Program in Informatics Federal University of Rio de Janeiro Brazil Systems and Information Engineering Dept. University of Virginia Charlottesville VA United States

ISBN: (纸本)1424409632

Many approaches to work analysis have been proposed so as to enhance the requirements elicitation for systems design. However, systems delivered at dynamic, complex and socio-technical workplaces, have stillfailed at satisfying the needs of users successfully, mainly because they are unable to support activities entirely, especially those related with cognition and collaboration. This paper describes the Observation Conceptual Model, as a complementary approach, to elicit high-quality requirements through systematic field studies about organizations. We also include some ideas for the elaboration of a collaborative system that supports the conceptual model. ©2007 IEEE.

关键词： Groupware

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Lung cancer diseases diagnostic asistance using Gray color analysis

Lung cancer diseases diagnostic asistance using Gray color a...

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International Conference on Computational Intelligence, Modelling and Simulation

作者： Paulus Gaol, Ford Lumban Graduate Program in Informatics Engineering Department of Computer Science Bina Nusantara University Jakarta Indonesia Faculty of Computer Science Bina Nusantara University Jakarta Indonesia

ISBN: (纸本)9780769542621

Errors in diagnosing the disease is a critical risk that must be faced by any person giving treatment to the hospital. Medical treatment can not always be done with perfect accuracy. Lung cancer is one of the most deadly disease that prone to misdiagnose. In general, some practitioners tend to read cancer in x-ray rontgen image as tumor this could be fatal. To generate a diagnose, a general practitioner use three kind of examination i.e : patient History, Radiologic examination, phisical examination. In this paper, Gray color for image indexing and retrieval are investigated. The features are derived based on the statistical distribution of Harralick feature from image sample. By utilizing the proposed invariant features, the similarity measure between query and database images provides reliable retrieval results. © 2010 IEEE.

关键词： Diseases

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UC3M-PUCPR at SemEval-2022 Task 11: An Ensemble Method of Transformer-based Models for Complex Named Entity Recognition 16

UC3M-PUCPR at SemEval-2022 Task 11: An Ensemble Method of Tr...

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16th International Workshop on Semantic Evaluation, SemEval 2022

作者： Schneider, Elisa Terumi Rubel Rivera-Zavala, Renzo M. Martinez, Paloma Moro, Claudia Paraiso, Emerson Cabrera Graduate Program on Informatics Pontifícia Universidade Catolica do Paraná Brazil Computer Science and Engineering Department Universidad Carlos III de Madrid Spain

ISBN: (纸本)9781955917803

This study introduces the system submitted to the SemEval 2022 Task 11: MultiCoNER (Multilingual Complex Named Entity Recognition) by the UC3M-PUCPR team. We proposed an ensemble of transformer-based models for entity recognition in cross-domain texts. Our deep learning method benefits from the transformer architecture, which adopts the attention mechanism to handle the long-range dependencies of the input text. Also, the ensemble approach for named entity recognition (NER) improved the results over baselines based on individual models on two of the three tracks we participated in. The ensemble model for the code-mixed task achieves an overall performance of 76.36% F1-score, a 2.85 percentage point increase upon our individually best model for this task, XLM-RoBERTa-large (73.51%), outperforming the baseline provided for the shared task by 18.26 points. Our preliminary results suggest that contextualized language models ensembles can, even if modestly, improve the results in extracting information from unstructured data. © 2022 Association for Computational Linguistics.

关键词： Deep learning

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Protein Folding as a Jamming Transition

PRX Life

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PRX Life 2025年第1期3卷 013018-013018页

作者： Alex T. Grigas Zhuoyi Liu Jack A. Logan Mark D. Shattuck Corey S. O'Hern Graduate Program in Computational Biology and Biomedical Informatics Yale University New Haven Connecticut 06520 USA Integrated Graduate Program in Physical and Engineering Biology Yale University New Haven Connecticut 06520 USA Department of Mechanical Engineering Yale University New Haven Connecticut 06520 USA Benjamin Levich Institute and Physics Department The City College of New York New York New York 10031 USA Department of Physics Yale University New Haven Connecticut 06520 USA Department of Applied Physics Yale University New Haven Connecticut 06520 USA

Proteins fold to a specific functional conformation with a densely packed core that controls their stability. Despite their importance, we lack a quantitative explanation for why all protein cores, regardless of their overall fold, possess the same average packing fraction 〈ϕ〉≈0.55. However, important developments in the physics of jamming in particulate systems can shed light on the packing of protein cores. Here, we extend the framework of jamming to describe core packing in collapsed polymers, as well as in all-atom models of folded proteins. First, we show in a spherical bead-spring polymer model (with and without bond-angle constraints) that as the hydrophobic interactions increase relative to thermal fluctuations, a jamming-like transition occurs when the core packing fraction exceeds ϕc with the same power-law scaling behavior for the potential energy Vr, excess contact number ΔN, and characteristic frequency of the vibrational density of states ω* versus Δϕ=ϕ−ϕc as that for jammed particulate systems. Then, we develop an all-atom model for proteins and find that, above ϕc∼0.55, protein cores undergo a jamming-like transition, but with anomalous power-law scaling for Vr, ΔN, and ω* versus Δϕ. The all-atom protein model remains close to the native protein structure during jamming and accurately refolds from partially unfolded states.

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A preliminary study: Implementation and QoS analysis of dynamic telecytology system on broadband and 3G/4G network in Indonesia 4

A preliminary study: Implementation and QoS analysis of dyna...

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4th International Conference on Cyber and IT Service Management, CITSM 2016

作者： Bahaweres, Rizal Broer Beni Santoso, Nge Graduate Program of Electrical Engineering Department Mercu Buana University Jakarta Indonesia Informatics Dept. Faculty of Science and Tech. UIN Jakarta Indonesia

ISBN: (纸本)9781467384414

Nowadays major interest in the field of Dynamic Telecytology is growing rapidly. The need of the pathologist to analyze the specimens remotely both hardware and software[1][2]. Therefore, authors are trying to do a study to examine the Quality of Service (QoS) feasibility of the Telecytology system using Wireshark, Essential NetTools and Ping Plotter. This research was conducted in Greater Jakarta, Indonesia. There are 2 (two) systems that will be examined for this research. The first system is the Raspberry Pi 2 and WebCam. The second system is the Android smartphone and Universal Microscope Adapter. The purpose of this study is to prove that the Telecytology system can be implemented by displaying images captured by a microscope and displayed at a remote location with an image resolution, frame rate, delay, latency, jitter, throughput and Mean Opinion Score (MOS) are desired and with the expectations as follow : The minimum of the video image resolution is at least 320 × 240 pixels, the best frame rate is 30 fps, the latency is below 400 ms, the packet loss is below 1%. The value of MOS are between 3 and 4, expected to prove that the system is feasible to be applied on Broadband and 3G/4G network in Indonesia. © 2016 IEEE.

关键词： Quality of service

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Impact of water vapor on stratospheric temperature after the 2022 Hunga Tonga eruption: direct radiative cooling versus indirect warming by facilitating large particle formation

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npj Climate and Atmospheric Science 2025年第1期8卷 1-14页

作者： Chen, Xi Wang, Jun Zhou, Meng Lu, Zhendong Jaegle, Lyatt Oman, Luke D. Taha, Ghassan Department of Chemical and Biochemical Engineering and Iowa Technology Institute The University of Iowa Iowa City IA United States Center for Global and Regional Environmental Research The University of Iowa Iowa City IA United States Department of Physics and Astronomy The University of Iowa Iowa City IA United States Interdisciplinary Graduate Program in Informatics The University of Iowa Iowa City IA United States Department of Atmospheric Sciences University of Washington Seattle WA United States Goddard Space Flight Center National Aeronautics and Space Administration Greenbelt MD United States GESTAR II Morgan State University Baltimore MD United States

The unprecedented water vapor amount (WV, 150–160 Tg) injected by the 2022 eruption of Hunga Tonga–Hunga Haʻapai not only directly cooled the stratosphere, but also facilitated the formation and growth of sulfate particles, indirectly heating it. Here, we developed analytical models constrained by satellite observations to quantify these contrasting roles of WV in stratospheric temperature perturbations. Our analysis revealed that condensation and nucleation processes facilitated by abundant WV accounted for ~90% of the observed particle radius growth, from 0.1–0.2 µm to 0.35–0.45 µm. Despite increased aerosol extinction due to particle growth, a cooling of up to −4 K was observed in the mid-stratosphere, persisting for over a year since February, with over 60% attributed to WV radiative cooling. Conversely, in the lower stratosphere, ~50% of the observed 1–2 K warming was attributed to the radiative heating of large particles that formed in upper layers and settled down gravitationally. © The Author(s) 2025.

关键词： Atmospheric chemistry Attribution

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Reducing Dependency on Imported Electricity: Utilizing Renewable Energy and Minimizing Fossil Fuel Power Plant Operations in West Kalimantan

Reducing Dependency on Imported Electricity: Utilizing Renew...

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2024 IEEE Energy Conversion Congress and Exposition, ECCE 2024

作者： Akbar, Ilham Zakaria, Ariesa Budi Muljadi, Eduard Suwarno Hariyanto, Nanang Corporate University Graduate Program PLN-ITB Pln Auburn United States Auburn University Auburn United States School of Electrical Engineering and Informatics Bandung Indonesia

ISBN: (纸本)9798350376067

This paper discusses West Kalimantan's dependency on imported electricity and fossil fuels and advocates for integrating renewable energy sources, especially solar power. With abundant solar resources and its equatorial location, West Kalimantan presents a significant solar PV generation opportunity. However, its dependence on imported electricity from the ASEAN Grid initiative poses risks to energy security. By promoting solar power as an alternative energy source and reducing reliance on fossil fuels, the paper aims to improve energy independence and sustainability. Integrating solar PV requires assessing frequency stability to ensure system resilience. Moreover, the interconnection between the two grids enhances system resilience and facilitates renewable energy integration. In summary, integrating solar PV power plants into the West Kalimantan system aims to decrease dependence on electricity imports from Sarawak while preserving the system's frequency stability. © 2024 IEEE.

关键词： Frequency stability

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