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Performance analysis of PDE based parallel algorithms on different computer architectures

Performance analysis of PDE based parallel algorithms on dif...

5th International Conference on Soft Computing, Computing with Words and Perceptions in System Analysis, Decision and Control, ICSCCW 2009

作者： Kopan, Ilker Çelebi, M. Serdar Informatics Institute Computational Science and Engineering Program ITU Istanbul Turkey

ISBN: (纸本)9781424434282

Performance of an algorithm mainly depends on both computer architecture and software. An Intel Xeon processor based HPC cluster and Intel Itanium2 based symmetric multiprocessing (SMP) architectures are used for performance analysis of PDE based parallel algorithm. Algorithm is parallelized using MPI and performance measurements are done using Tuning and Analysis Utilities (TAU). Computational optimization reveals data independency and helps compiler to generate more efficient program for that specific processor. Removing data dependency inside loop is the key in this work. In iterative algorithms, like Gauss-Seidel method, each processor communicates with the same processors at every iteration. This feature makes persistent connection preferable. MPI has different types of communication methods for different communication characteristics. Persistent connection is one of them. Persistent connection removes connection overhead by leaving connection open for further communications. It can be preferred if data is transferred repeatedly between same nodes. In this work source code changed to help compiler to generate more efficient program for the specific processor. Also MPI persistent connection is used for communication at each iteration in Gauss-Seidel method. In some parallel algorithms, communication must be synchronized. Making communication between processors at the same time becomes a bottleneck if communication medium is shared. This fact has been studies and analyzed. ©2009 IEEE.

关键词： Parallel algorithms

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Effective preprocessed thin blood smear images to improve malaria parasite detection using deep learning 2

Effective preprocessed thin blood smear images to improve ma...

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2nd Annual Conference of Science and Technology, ANCOSET 2020

作者： Swastika, W. Kristianti, G.M. Widodo, R.B. Informatics Engineering Study Program Universitas Ma Chung Malang Indonesia

Malaria can be difficult to detect from thin blood smears. Image recognition methods such as convolutional neural network can be used to detect malaria, but the training process takes a long time. Previous research created a new architecture and compares it to several other architectures such as VGG-16 and ResNet. The effect of preprocessing is analyzed in this research. VGG-16, ResNet, and the custom architecture created by the previous research are being used in this study. The preprocessing methods being analyzed in this research include gray-world normalization and comprehensive normalization. The highest accuracy improvement per epoch (0.5256% using ResNet-50 and 0.0352% using custom architecture) is achieved through gray-world normalization, that also improves final accuracy (90.1% using ResNet-50 and 93.1% using custom architecture) when compared to other methods with the same epochs for ResNet and custom architecture. © Published under licence by IOP Publishing Ltd.

关键词： Image recognition

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Comparison Analysis of Simple Additive Weighting (SAW) and Weigthed Product (WP) in Decision Support Systems 2

Comparison Analysis of Simple Additive Weighting (SAW) and W...

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2nd International Conference on Technology, Innovation, Society and Science-to-Business, ICTIS 2018

作者： Wira Trise Putra, Dede Agustian Punggara, Adrian Institut Teknologi Padang Informatics Engineering Study Program Padang Indonesia

Decision support system is a way to help decision maker to choose the best decision from several available alternatives. In the process of decision support system required criteria and weights to be used in the calculation process. Simple additive weighting (SAW) and Weigthed product (WP) are methods in decision support systems that have a search method taking into account the weights held by the criteria. comparison analysis is performed to look at between the WP and SAW methods, methods that have a higher level of accuracy and are in accordance with the conditions. The SAW method uses a weighted weaning system whereas the WP method uses multiplication in calculating the attribute rating. From the weight of each criteria there will be used in the calculation to produce several alternatives. The object of the case study in this study is the determination of people's business credit in the banking world using seven criteria. the criteria used are personal character, credit status, business condition, income, guarantee, guarantee condition and installment. Results of testing using SAW method and WP method, it can help compare the best alternative level results by using the same data and criteria, so both methods can be used as consideration in decision making. WP method gives clear cost and benefit value compared to SAW, but in SAW result gives more clear result because it is based on predetermined value and weight. © The Authors, published by EDP Sciences, 2018.

关键词： Decision support systems

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Comparison of case-based reasoning and dempster shafer on expert system of cassava disease identification 2

Comparison of case-based reasoning and dempster shafer on ex...

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2nd International Conference on Technology, Innovation, Society and Science-to-Business, ICTIS 2018

作者： Minarni Warman, Indra Yuhendra Handayani, Wenda Institut Teknologi Padang Informatics Engineering Study Program Padang Indonesia

This study aims to develop a web-based expert system that can identify cassava disease using Case-Based Reasoning Method and Shafer Dempster Method, and to know the performance comparison of both based on the accuracy of identification. Case-Based Reasoning (CBR) is a computer-generated system that uses old knowledge to solve new problems. CBR provides solutions to new cases by looking at the oldest cases that are closest to new cases. The identification process is done by entering new cases containing the symptoms to be identified into the system, then perform the process of calculating the value of similarity between the new case and the base case using the nearest neighbor method. Dempster Shafer based on two ideas is the idea of obtaining degrees of confidence of subjective possibilities and the rule of dempster safer itself to combine degrees of confidence based on the evidence obtained. This expert system is built using PHP programming language and MySQL data base. The output of the system is the percentage of identification result of both methods. Testing and analysis results show that Case-Based Reasoning provides better identification accuracy than Dempster Shafer. © The Authors, published by EDP Sciences, 2018.

关键词： Case based reasoning

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Utilization of the gesture library for learning Java characters interactively 12

Utilization of the gesture library for learning Java charact...

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12th International Conference on Telecommunication Systems, Services, and Applications, TSSA 2018

作者： Dyah Puji Astuti, Nur Rochmah Arfiani, Ika Laksono, Doni Nur Informatics Engineering Study Program Ahmad Dahlan University Yogyakarta Indonesia

ISBN: (纸本)9781538669402

Javanese characters is a priceless cultural heritage. The form of the characters and the art of making it become a legacy that deserves to be preserved. The difficulty that is often experienced by the community is in terms of remembering the form, pronunciation, and errors in placing Javanese characters pairs and the lack of available references. Coupled with the elimination of curricula regarding regional languages at the SMA / SMK level. This encourages writers to conduct research and build mobile learning applications for Java characters learning. With the aim of producing a Mobile Learning application that can Assist learning and writing Javanese characters to be more interactive so as to motivate the community to learn Javanese *** use of the Gesture API technology that functions when the user starts touching the screen and performs the movements that have been determined by the system and understood by the system itself. The steps taken are analyzing the problem regarding the making of this Java characters mobile learning application through observation, interviews and literature studies to be further identified to obtain data from the general public. Then do the system needs analysis, user needs analysis, while the results will be tested using Black Box and Post Study analysis to determine the extent of the usability system to the problems in the communityThe results of the application built in the form of the introduction of Javanese characters with a gesture board, Javanese characters pronunciation in the form of audio visual and Javanese characters quiz writing so that it was more effective and interactive. With the results of testing the black box test, the application built has been running according to its use and function and based on post study testing obtained the average rating of respondents with the results stated that community categories are acceptable, acceptable and acceptable students. © 2018 IEEE.

关键词： Android (operating system)

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Mass cytometric analysis of circulating monocyte subsets in a murine model of diabetic gastroparesis

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American Journal of Physiology - Gastrointestinal and Liver Physiology 2025年第4期328卷 G323-G341页

作者： AlAsfoor, Shefaa Jessen, Erik Pullapantula, Suraj R. Voisin, Jennifer R. Hsi, Linda C. Pavelko, Kevin D. Farwana, Samera Patraw, Jack A. Chai, Xin-Yi Ji, Sihan Strausbauch, Michael A. Cipriani, Gianluca Wei, Lai Linden, David R. Hou, Ruixue Myers, Richard Bhattarai, Yogesh Wykosky, Jill Burns, Alan J. Dasari, Surendra Farrugia, Gianrico Grover, Madhusudan Enteric Neuroscience Program Mayo Clinic Rochester MN United States Department of Physiology and Biomedical Engineering Mayo Clinic Rochester MN United States Department of Quantitative Health Sciences Mayo Clinic Rochester MN United States Immune Monitoring Core Office of Core Shared Services Mayo Clinic Rochester MN United States Department of Immunology Mayo Clinic Rochester MN United States Department of Neuroendocrine Pharmacology School of Pharmacy China Medical University Shenyang China Gastrointestinal Drug Discovery Unit Takeda Development Center Americas Inc. San Diego CA United States Gastrointestinal Drug Discovery Unit Takeda Development Center Americas Inc. Cambridge MA United States Department of Biomedical Statistics and Informatics Mayo Clinic Rochester MN United States Division of Gastroenterology and Hepatology Mayo Clinic Rochester MN United States

Circulating monocytes (Mo) are precursors to a subset of gastric resident muscularis macrophages. Changes in muscularis macrophages (MMs) result in delayed gastric emptying (DGE) in diabetic gastroparesis. However, the dynamics of Mo in the development of DGE in an animal model are unknown. Using cytometry by time-of-flight and computational approaches, we show a high heterogeneity within the Mo population. In DGE mice, via unbiased clustering, we identified two reduced Mo clusters that exhibit migratory phenotype (Ly6C^hiCCR2^hi-intCD62L^hiLy6G^hiCD45R^hiMERTK^hiintLGALS3^intCD14^intCX3CR1^lowSiglecH^int-low) resembling classical Mo (CMo-like). All markers enriched in these clusters are known to regulate cell differentiation, proliferation, adhesion, and migration. Trajectory inference analysis predicted these Mo as precursors to subsequent Mo lineages. In gastric muscle tissue, we demonstrated an increase in the gene expression levels of chemokine receptor C-C chemokine receptor type 2 (Ccr2) and its C-C motif ligand 2 (Ccl2), suggesting increased trafficking of classical-Mo. These findings establish a link between two CMo-like clusters and the development of the DGE phenotype and contribute to a better understanding of the heterogenicity of the Mo population. Copyright © 2025 The Authors.

关键词： circulating monocytes delayed gastric emptying immune cells surface proteins

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Diabetic Retinopathy Classification Using A Hybrid and Efficient MobileNetV2-SVM Model

Diabetic Retinopathy Classification Using A Hybrid and Effic...

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2020 IEEE Region 10 Conference, TENCON 2020

作者： Taufiqurrahman, Shidqie Handayani, Astri Hermanto, Beni Rio Mengko, Tati Latifah Erawati Rajab Institut Teknologi Bandung Biomedical Engineering Program School of Electrical Engineering and Informatics Bandung Indonesia

ISBN: (纸本)9781728184555

Deep learning has been proposed as one of the automated solutions for diabetic retinopathy (DR) severity classification problem. However, most of the successful deep learning models are based on large convolutional neural network (CNN) architectures, requiring a vast volume of training data as well as dedicated computational resources. In this study, we used MobileNetV2 architecture, which was considered a small-scale architecture (4.2 million trainable parameters), to perform DR classification task in APTOS 2019 dataset (3662 color retinal images). We used the generic MobileNetV2 pre-trained weights from ImageNet as initialization and implemented data augmentation and resampling during training. We further optimized our model by combining it with an SVM classifier, resulting a hybrid and computationally efficient deep learning model, MobileNetV2-SVM. This model obtained quadratic weighted kappa score of 0.925, 85% accuracy, and area under receiving operating characteristic (AUROC) of 1.00, 0.82, 0.94, 0.94, 0.93 for normal, mild, moderate, severe, and proliferative DR classes, respectively;which is better or at least comparable with the larger architecture performance on the same dataset. Our result shows that with proper optimization strategy, a relatively small and generic CNN architecture, can achieve promising DR classification performance, and even outperform the performance of CNN model with larger architecture. © 2020 IEEE.

关键词： Classification (of information)

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Analyzing the use of SEO and Google Analytic on the Website of Vocational High School of Information Technology Annajiyah 3

Analyzing the use of SEO and Google Analytic on the Website ...

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3rd International Conference on Electrical, Electronics, informatics, and Vocational Education, ICE-ELINVO 2020

作者： Supraba, L.D. Jati, H. Electrical and Informatics Engineering Education Study Program Faculty of Engineering Yogyakarta State University Indonesia

The number of Islamic boarding school teaching both Information Technology (IT) Education and Religious Education is still limited. Vocational High School of Information Technology Annajiyah located in Tambakberas, Jombang, East Java is a school having both subjects taught. The existence of Vocational High School of Information Technology Annajiyah has not been widely known by outside and inside society of Jombang Regency. Therefore, Therefore, analysis of the use of SEO is necessary to determine the potential of website visit and school promotion. Previously, Vocational High School of Information Technology Annajiyah promoted school by using brochures only. This method was considered able to introduce the school through traditional way. Analysis result of improving SEO can be seen in Google Analytic recorded a number of site visits amounted 403 in June, where 82.2% of active users are dominated by mobile phone users and fluctuation of the number of visits. This increase is affected by both the implementation of SEO and online PPDB process during the COVID pandemic. © 2021 Published under licence by IOP Publishing Ltd.

关键词： Websites

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Survey on How to Select and Develop Learning Media Conducted by Teacher Professional Education Participants

Survey on How to Select and Develop Learning Media Conducted...

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International Conference on Electrical, Electronic, informatics and Vocational Education 2018, ICE-ELINVO 2018

作者： Marpanaji, E. Mahali, M.I. Putra, R.A.S. Electronic and Informatics Engineering Education Faculty of Engineering Yogyakarta State University Indonesia Electronic Engineering and Informatics Education Postgraduate Program Yogyakarta State University Indonesia

This paper discusses the selection and development of instructional media of participants of Teacher Professional Education held in the Department of Electronic engineering Education, Faculty of engineering, Universitas Negeri Yogyakarta in the 2018. Teacher Professional Education Participants were middle school and elementary school teachers from Java and Sumatra, Indonesia. The total respondents were 82 teachers. Based on the results of the survey, it was found that most of the teachers had carried out the task of selecting and developing the media even though it was not based on Anderson's theory in selecting and developing media. Most teachers (53.66%) always used learning media when carrying out the learning process. Most of the teachers made their own learning media (78.05%) using computers (84.15%) in the form of Microsoft Power Point presentations (100%). Finally, most teachers did not understand Anderson's theory about the selection and development of learning media (72.20%). © Published under licence by IOP Publishing Ltd.

关键词： Surveys

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Smart Electrical Devices Control with Intrusion Detection Alert

International Journal of Interactive Mobile Technologies

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International Journal of Interactive Mobile Technologies 2022年第5期16卷 139-152页

作者： Achmad, Andani Muliadi Areni, Intan Sari Palantei, Elyas Hadis, Muhammad Sabirin Department of Electrical Engineering Faculty of Engineering Universitas Hasanuddin Gowa Indonesia Department of Electrical Engineering Education Faculty of Engineering Universitas Negeri Makassar Indonesia Study Program of Informatics STMIK AKBA Makassar Indonesia

The consumption profile of electrical energy always increases every year due to the highly consumptive and inappropriate lifestyles of modern society. A bad lifestyle such as forgetting to turn off the unused electronic devices when they are leaving home is one of the factors influenced the increasing consumption of electrical energy. This is off course contributing in wasting energy. In the paper, an IoT-based electronic device control system has been successfully constructed. Monitoring and control tasks could be performed remotely and in real time mode using an interface application installed on a smartphone. The system built is equipped with a device operational condition monitoring featured by placing light, temperature, thermal and current sensors, respectively. Through the utilization of the implemented system, users can monitor and control electronic devices easily and can figure out the condition of the device remotely in a real time mode. The control test on the system was successful with an average response time of approximately 3.32 seconds and the accuracy of sensor readings above 89%. With the implementation of this system, users can easily monitor and control electronic devices anywhere and anytime so that the opportunities for efficient and effective use of electrical energy could be further optimized. © 2022. All Rights Reserved.

关键词： Energy efficiency

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