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检索条件"机构=Program of Informatics Engineering"

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A NEWBORN EMBODIED TURING TEST FOR COMPARING OBJECT SEGMENTATION ACROSS ANIMALS AND MACHINES 12

A NEWBORN EMBODIED TURING TEST FOR COMPARING OBJECT SEGMENTA...

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12th International Conference on Learning Representations, ICLR 2024

作者： Garimella, Manjulata Pak, Denizhan Wood, Justin N. Wood, Samantha M.W. Department of Informatics School of Informatics Computing & Engineering Department of Psychological & Brain Sciences Cognitive Science Program Program in Neuroscience

Newborn brains rapidly learn to solve challenging object perception tasks, including segmenting objects from backgrounds and recognizing objects across new viewing situations. Conversely, modern machine learning (ML) algorithms are "data hungry," requiring more training data than brains to reach similar performance levels. How do we close this learning gap between brains and machines? Here, we introduce a new benchmark-a Newborn Embodied Turing Test (NETT) for object segmentation-in which newborn animals and machines are raised in the same environments and tested with the same tasks, permitting direct comparison of their learning. First, newborn chicks were raised in controlled environments containing a single object rotating on a single background, then their recognition performance was tested across new backgrounds and viewpoints. Second, we performed "digital twin" experiments in which artificial agents were reared and tested in virtual environments that mimicked the rearing and testing conditions of the chicks. We inserted a variety of ML "brains" into the artificial agents and measured whether those algorithms learned common object recognition behavior as chicks. All newborn chicks solved this one-shot object segmentation task, successfully learning background-invariant object representations that generalized across new backgrounds and viewpoints. In contrast, none of the artificial agents solved the task, instead learning background-dependent representations that failed to generalize across new backgrounds and viewpoints. This digital twin design exposes core limitations in current ML algorithms in developing brain-like object perception. Our NETT is publicly available for comparing ML algorithms with newborn chicks. We argue that NETT benchmarks can help researchers build embodied AI systems that learn as efficiently and robustly as newborn brains. © 2024 12th International Conference on Learning Representations, ICLR 2024. All rights reserved.

关键词： Animals

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Supervised Machine Learning Approach for Predicting Cardiovascular Complications Risk in Patients with Diabetes Mellitus

Supervised Machine Learning Approach for Predicting Cardiova...

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2023 International Conference on Electrical engineering and informatics, ICEEI 2023

作者： Muharram, Arief Purnama Sajid, Fahmi School of Electrical Engineering and Informatics Institut Teknologi Bandung Program of Informatics Bandung Indonesia

ISBN: (纸本)9798350381290

Diabetes mellitus, particularly type-2 diabetes, remains a prevalent health issue, raising concerns due to its associated risk of complications. Among these, cardiovascular complications pose a significant threat, exhibiting high morbidity and mortality rates. Health screening plays a pivotal role in stratifying the risk levels of diabetes patients, facilitating proactive measures to prevent the progression of complications. As such, the primary objective of this study is to develop a predictive model system for assessing cardiovascular risk in diabetes patients. Our study used the Cardiovascular Disease dataset and conducts experiments with various supervised machine learning algorithms, such as Naive Bayes, decision tree, random forest, AdaBoost, and XG- Boost. The results reveal that ensemble learning algorithms based on boosting, particularly AdaBoost and XGBoost, outperform other supervised machine learning methods. However, even with the best performance achieved using the dataset, the accuracy stands at 0.71, and the F -1 score is 0.69, which is still acceptable for screening purposes. Although these results provide valuable insights, indicating individuals at higher risk for cardiovascular complications in diabetes, further improvements are needed to enhance early prevention strategies. © 2023 IEEE.

关键词： Decision trees

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Development of Knowledge Management System for Determining Organizational Performances, Total Quality Management, and Culture 2

Development of Knowledge Management System for Determining O...

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2nd Joint International Conference on Emerging Computing Technology and Sports, JICETS 2019

作者： Abdul Aziz, R.Z. Maria, Delli Laila, Siti Nur Azima, Muhammad Fauzan 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 Informatics Engineering 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. © 2020 IOP Publishing Ltd. All rights reserved.

关键词： Budget control

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Entropy and information gain analysis on low cost BCI for motorbike users to prevent accident 4

Entropy and information gain analysis on low cost BCI for mo...

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4th International Conference on Information Technology, Information Systems and Electrical engineering, ICITISEE 2019

作者： Awangga, Rolly Maulana Pane, Syafrial Fachri Majesty, Dinda Setiawan, Asep Asyhari, Moch Yusuf Applied Bachelor Program of Informatics Engineering Politeknik Pos Indonesia Bandung Indonesia Universitas Islam Indonesia Magister Program of Informatics Engineering Yogyakarta Indonesia

ISBN: (纸本)9781728151182

The phenomenon of mothers giving the wrong vehicle signal lights to turn left and right reminds the effect of giving the right signal lights to other road users. Weak human concentration while driving can cause errors when giving vehicle signal lights or not giving vehicle signal lights. Mistakes when giving a signal light a vehicle has a risk of an accident. The driver's brain wave data will show the results of the rider's brain thinking when turning. This study aims to analyze the concentration of the driver when driving. This research will obtain driver brain wave data when driving and analyze human brain waves while riding a motorcycle, especially when turning left and right, to reduce the risk of accidents while driving. The driver will use brain waves tool while driving, and the computer will detect the driver's brain waves, and then send brainwave data to the computer. Driver brain waves are analyzed using the formula entropy and gain. The results of the driver's brain waves become a decision whether the driver is allowed to drive on the highway based on the detected waves (alpha, beta, gamma, theta, and delta) to reduce the chance of an accident. © 2019 IEEE.

关键词： Entropy

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Designing knowledge sharing systems to support integrated eco-city planning and management 5

Designing knowledge sharing systems to support integrated ec...

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5th International Seminar on Sustainable Urban Development, ISoSUD 2020

作者： Supriana, C.E. Informatics Engineering Study Program Faculty of Engineering Pasundan University Bandung Indonesia

The local government of a city as an organization depends on decision makers in government management to support the vision and mission of the city to achieve eco-city goals based on data and information from several knowledge domains. Knowledge management is seen as an increasingly important scientific discipline that encourages the creation, sharing and utilization of knowledge in an organization. Knowledge management is also related to the concept of intellectual capital, the most valuable organizational resource. Knowledge sharing systems are designed to help decision makers and stakeholders share their knowledge. Most knowledge management systems in organizations are designed to share the explicit knowledge of individuals, organizations and finally distributed to the community. This research is the approach in the development model that can be used in the governance to achieve eco-city goals. Complex knowledge about eco-cities requires policies that are based on current knowledge and can be implemented immediately with a thorough understanding of all aspects. The results of this study are understanding the problem of knowledge sharing as a valuable organizational asset, designing a knowledge sharing systems model, and improving systems to improve the quality of knowledge. © Published under licence by IOP Publishing Ltd.

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MIDI commands formulation for chord music application (Case study: Major and minor chord)

MIDI commands formulation for chord music application (Case ...

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2012 International Conference on System engineering and Technology, ICSET 2012

作者： Utomo, Hadi Prasetyo Wuryandari, Aciek Ida Priyana, Yoga Electrical Engineering Program School of Electrical Engineering and Informatics - ITB Bandung Indonesia

ISBN: (纸本)9781467323765

Generally, playing music tones can be done in two ways, melody and chord. Chord is a harmonization of three or more pitch that sounding simultaneously. In MIDI, one command only for sounding one tone. For chord, need three or more command that run together. If implemented in an application, the formulation is required. So MIDI commands can be generated by the program without having to write MIDI commands one by one manually. © 2012 IEEE.

关键词： Chord commands Major Music sounding bathymetric surveys

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Development of knowledge management system for determining organizational culture in micro, small and medium enterprises using organizational culture assessment instrument 1

Development of knowledge management system for determining o...

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2017 1st International Conference on engineering and Applied Technology, ICEAT 2017

作者： Aziz, R.Z.A. Azima, M.F. Irianto, S.Y. Informatics Engineering Department Graduate Program Informatics and Business Institute Darmajaya Bandar Lampung Indonesia

Organizations must improve their competitiveness due to global competition and free market. Organizational culture and continuous improvement are one of the main factors used not only to face the competitiveness in the free market but also to improve organizational performance and vision and mission achievement. Moreover, the organizational culture also has an important element for determining the direction of Micro, Small and Medium Enterprises (MSMEs). However, many MSMEs currently do not pay attention to their organizational culture so that difficulties emerge in determining the right direction and policy. To solve the problems, this research aimed to determine the companies' organizational culture by using organizational culture assessment instrument (OCAI) based on knowledge management system (KMS) in order to provide recommendations. In the developing the system, the researchers conducted surveys to several MSMEs and invite experts and practitioners to conduct the process of knowledge capture and literature study and to achieve the best organizational culture recommendations on MSMEs. This research produced a software used for determining the organizational culture based on KMS and OCAI principles. The developed software was tested to several companies and MSMEs to obtain results with a very high level of accuracy in providing recommendations. © Published under licence by IOP Publishing Ltd.

关键词： Competition

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Optical character recognition and long short-term memory neural network approach for book classification by librarians 6

Optical character recognition and long short-term memory neu...

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6th International Conference on Mathematics, Science, and Education, ICMSE 2019

作者： Rosita, Y.D. Sukmaningtyas, Y.N. Study Program of Informatics Engineering Universitas Islam Majapahit Indonesia

The book is classified by librarians that use Decimal Dewey Classification (DDS) System. It is used for cataloging and indexing books. DDC has three divisions, a ten, a hundred, and a thousand. The book subject is reflected in each division. Commonly, to know the book content, librarians read the book title. Then, they identify the book index in DDC system. Nevertheless, it requires more time. To read the book title, Optical Character Recognition (OCR) aids them to get the book title efficiently that convert the image of the book cover into the text-editable. Librarians use a web camera to scan the book cover, especially the book title area. There are three steps for pre-processing, the lowercase changing, the useless word removing, and tokenizing. To detect the book categories, Long Short-Term Memory Neural Network is good implemented in this research. It is almost used for text classification. In this research, It gives high performance that achieves more than 92% accurately. © Published under licence by IOP Publishing Ltd.

关键词： Brain

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Work system method as an e-learning design framework in private universities 3

Work system method as an e-learning design framework in priv...

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3rd International Conference on Vocational Education and Technology, IConVET 2020

作者： Supriana, C.E. Informatics Engineering Study Program Pasundan University Bandung Indonesia

The development of information and communication technology, especially the internet provides opportunities to improve the ability of lecturers to deliver courses to students without being limited by distance and time. This can be done by utilizing e-learning which will accelerate the transfer of knowledge and skills. E-learning is distance education that utilizes various digital tools and platforms. These tools and platform are used to support interaction, lectures and delivery of instructions between lecturers and students. This study will discuss the use of work system methods and the use of e-learning technology in a business entity. The work system methods are used to design information systems. Meanwhile e-learning technology in a business entity serves lecturers and students, conduct lectures at private universities in increasing knowledge dissemination, educational affordability and the use of technology and information as its support. The result of this research is the works system method model which refers to the analysis of data from the internet accessibility survey of students, analysis of its components, the system development cycle, the revision of the vision, mission and resources in private universities and recommendations of opportunities for the development of higher quality e-learning implementation. © Published under licence by IOP Publishing Ltd.

关键词： Students

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Villages Status Classification Analysis Involving K-Means Algorithm to Support Kementerian Desa Pembangunan Daerah Tertinggal dan Transmigrasi Work programs 1

Villages Status Classification Analysis Involving K-Means Al...

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1st International Conference on Advanced Information Scientific Development, ICAISD 2020

作者： Hasugian, Paska Marto Hutahaean, Harvei Desmon Sinaga, Bosker Sriadhi Silaban, Saranom Informatics Engineering Study Program STMIK Pelita Nusantara Computer Science and Informatics Education Study Program Faculty of Engineering Universitas Negeri Medan Medan20221 Indonesia

Data mining is a technique of extracting information that has not been known before in a collection of data in the database. Data mining has been applied in various fields that require extracting information, some of the work that can be generated with data mining is classification, prediction, and data grouping. In this study, an analysis of village data collection was carried out to explore the potential or knowledge of the data that has been presented with the main objective of producing a grouping of village status. To support clustering or grouping activities the K-means algorithm used with the general process is to carry out the modeling process without supervision and is one of the methods for grouping data with a system partition, with the principle of allocating each data to the centroid or the closest average, work steps conducted in support of this research is to collect data related to the analysis of data grouping and proceed with the calculation process in accordance with the work steps of the K-means algorithm, the amount of data used as a test of 303 villages scattered in the old Padang regency. The results of calculations by displaying a new group of Cluster 0 is occupied by 120 villages, cluster 1 with a total data of 123 villages, Cluster 2 with a total of 6 villages, cluster 3 with a total of 33 villages while cluster 4 with a total of 21. © 2020 Published under licence by IOP Publishing Ltd.

关键词： K-means clustering

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