检索结果-内蒙古大学图书馆

Microbubble Generator to Support Aeration for Aquaculture: A Bibliometric Analysis

Thalassas: An International Journal of Marine Sciences 2025年第3期41卷 1-20页

作者： Taukhid, Imam Dirpan, Andi Misbah Mukhsen, Muh Iqbal Ariyanto Tampangallo, Bunga Rante Research Center for Fisheries National Research and Innovation Agency Bogor Indonesia Aquaculture Study Program Faculty of Animal Husbandry and Fisheries Universitas Sulawesi Barat Majene Indonesia Department of Agricultural Technology Hasanuddin University Makassar Indonesia Physics Education Program Faculty of Teacher Training and Education Universitas Lambung Mangkurat Banjarmasin Indonesia Mechanical Engineering Department Makassar Indonesia Politeknik ATI Makassar Makassar Indonesia

Shrimp aquaculture has developed into super-intensive systems characterized by extremely high stocking densities, which create significant challenges in maintaining optimal water quality, particularly dissolved oxygen levels. Inadequate oxygen supply can reduce shrimp growth, increase mortality, and lower overall production efficiency. Therefore, the development and application of efficient aeration technologies are critical. One promising technology is the microbubble generator, which enhances oxygen transfer and supports better aquatic environments. This study analyzes microbubble generator technology's research trends and contributions to aquaculture. A bibliometric analysis and literature review were conducted using data from the Scopus database with the search query TITLE-ABS-KEY (Microbubble AND generator OR "Microbubble Generator"), resulting in 341 relevant documents. Data analysis was performed using Scopus Analyze, Scopus AI, and RStudio, and it was visualized using VOSviewer. The findings show that (1) the most frequently used keywords are microbubbles, microbubble generators, and related terms, with China leading in publication output; (2) journal articles are the most common document type; and (3) microbubble generator technology has demonstrated significant contributions to aquaculture, particularly in improving oxygen concentration, enhancing shrimp growth, and maintaining water quality. However, a limitation of this study is its reliance on a single database (Scopus) for data collection. Future research should incorporate multiple databases to provide a more comprehensive understanding of microbubble technology applications in aquaculture.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Partial observation can induce mechanistic mismatches in data-constrained models of neural dynamics 38

Partial observation can induce mechanistic mismatches in dat...

引用

38th Conference on Neural Information Processing Systems, NeurIPS 2024

作者： Qian, William Zavatone-Veth, Jacob A. Ruben, Benjamin S. Pehlevan, Cengiz Biophysics Graduate Program Harvard University CambridgeMA02138 United States Kempner Institute for the Study of Natural and Artificial Intelligence Harvard University CambridgeMA02138 United States John A. Paulson School of Engineering and Applied Sciences Harvard University CambridgeMA02138 United States Center for Brain Science Harvard University CambridgeMA02138 United States Department of Physics Harvard University CambridgeMA02138 United States

One of the central goals of neuroscience is to gain a mechanistic understanding of how the dynamics of neural circuits give rise to their observed function. A popular approach towards this end is to train recurrent neural networks (RNNs) to reproduce experimental recordings of neural activity. These trained RNNs are then treated as surrogate models of biological neural circuits, whose properties can be dissected via dynamical systems analysis. How reliable are the mechanistic insights derived from this procedure? While recent advances in population-level recording technologies have allowed simultaneous recording of up to tens of thousands of neurons, this represents only a tiny fraction of most cortical circuits. Here we show that observing only a subset of neurons in a circuit can create mechanistic mismatches between a simulated teacher network and a data-constrained student, even when the two networks have matching single-unit dynamics. In particular, partial observation of models of low-dimensional cortical dynamics based on functionally feedforward or low-rank connectivity can lead to surrogate models with spurious attractor structure. Our results illustrate the challenges inherent in accurately uncovering neural mechanisms from single-trial data, and suggest the need for new methods of validating data-constrained models for neural dynamics. © 2024 Neural information processing systems foundation. All rights reserved.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Effect of feedback on learning motivation of primary teacher education students in primary school physics courses 10

Effect of feedback on learning motivation of primary teacher...

引用

10th National physics Seminar, SNF 2021

作者： Sianipar, L.K. Sitompul, H. Sanjaya, L.A. Puspa, R.W.D. Pertiwi, W.A. Qoiriyah, W. Department of Physics Education Universitas Pelita Harapan Tangerang15811 Indonesia Department of Physics Faculty of Mathematics and Natural Science Universitas Negeri Jakarta Indonesia Kartika VIII-1 Senior High School Jakarta Indonesia Islamic Education Management Study Program Faculty Islamic of Education and Teacher Training Muhammad Azim Institute Jambi Indonesia Informatics Engineering Study Program Faculty of Engineering Sheikh Yusuf Islamic University Tangerang Indonesia

Based on the results of the questionnaire distributed to Primary Teacher Education Students, 96% of students said that physics is difficult to understand because the material is very complex, many formulas, especially the learning process is done online. This study aims to describe the influence of providing feedback on the motivation of Primary Teacher Education Students in primary school physics courses. The method used in this research is descriptive qualitative. Meanwhile, the instrument used was a questionnaire which was distributed to 115 elementary school education students. The result of the research shows that giving feedback consistently is able to motivate students. This can be seen from the results of the questionnaires distributed, each indicator is of very good value. © 2021 Institute of physics Publishing. All rights reserved.

关键词： Students

来源：评论

学校读者我要写书评

暂无评论

The Effect of Data Augmentation on the Accuracy of Fish Species Classification Using Deep Learning

The Effect of Data Augmentation on the Accuracy of Fish Spec...

引用

International Conference on Informatics and Computing (ICIC)

作者： Ellya Helmud Catur Edi Widodo Oky Dwi Nurhayati Doctor Information System Postgraduate Diponegoro University Semarang Indonesia Faculty of Information Technology Information Systems Study Program Atma Luhur Institute of Science and Business Pangkalpinang Indonesia Physics Department Faculty of Science and Mathematics Diponegoro University Semarang Indonesia Department of Computer Engineering Faculty of Engineering Diponegoro University Semarang Indonesia

ISBN: (数字)9798331517601

ISBN: (纸本)9798331517618

Fish image classification presents an intriguing challenge in the field of computer vision. This research aims to develop an accurate classification model to differentiate between four different fish species using a convolutional neural network. The dataset used consists of $\mathbf{3 0 1 0}$ fish images, divided into training, validation, and testing sets. The convolutional neural network model was trained both with and without data augmentation. Evaluation results show that the model trained with data augmentation achieved an accuracy of $95 \%$ with a loss value of 0.0983, slightly better than the model without augmentation which achieved an accuracy of $94.56 \%$ with a loss value of $\mathbf{0. 1 7 9 4}$. This indicates that data augmentation techniques are effective in improving model performance, likely because augmentation helps the model generalize better to variations in fish image data. The results of this research demonstrate the significant potential of convolutional neural network for fish image classification tasks. The developed model can serve as a foundation for the development of computer vision-based applications such as automatic fish species identification in fisheries or educational applications. Further research can be conducted by exploring different convolutional neural network architectures, more advanced data augmentation techniques, and larger datasets to improve model performance.

关键词： Deep learning Training Accuracy Computational modeling Computer architecture Fish Data augmentation Data models Convolutional neural networks Image classification

来源：评论

学校读者我要写书评

暂无评论

Electrodermal Activity-Based Stress Measurement Using Continuous Deconvolution Analysis Method 1

引用

1st International Conference on Electronics, Biomedical engineering, and Health Informatics, ICEBEHI 2020

作者： Putri, Yang Sa’ada Kamila Ariyansah Rahma, Osmalina Nur Fajriaty, Nuzula Dwi Putra, Alfian Pramudita Rahmatillah, Akif Ain, Khusnul Biomedical Engineering Study Program Department of Physics Faculty of Science and Technology Universitas Airlangga Surabaya60115 Indonesia Biomedical Signals and Systems Research Group Faculty of Science and Technology Universitas Airlangga Surabaya60115 Indonesia

ISBN: (数字)9789813369269

ISBN: (纸本)9789813369252

Stress is a psychological response that must be handled properly, or it can affect psychology and trigger other complicated diseases. Nowadays, stress measured by filling out stress-related forms or interviews with a psychologist. This method still requires a willingness from the patient to consult their condition, which is often not giving the best result due to late treatment. Therefore, we need a system to monitor a person’s stress level conditions independently so they could be threatened quickly if their state gets worsen. One of the non-invasive methods that can be used to measure stress is an Electrodermal Activity (EDA) sensor. EDA is known to be associated with sweat gland activity regulated by SudoMotor Nerve Activity (SMNA), which response to a stressor. However, the SMNA need to decompose into the Skin Conductance Response (SCR) before it could represent stress condition. Hence, the decomposition stage is essential in measuring the quality of the stress condition. In this study, the EDA sensor placed in the palm to obtain the skin conductivity signal. Then, the skin conductivity signals were deconvolved using the Continuous Deconvolution Analysis (CDA) method to capture the SCR. CDA was chosen because it could produce a zero-based line SCR driver and could separate two overlapping peaks in SCR. The result, CDA is adequate to extract SCR, which is shown by the zero baseline of the SCR driver line with a clear peak. The clear SCR peaks are essential for identifying the responses related to the stimulus (stressor). © 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Noninvasive medical procedures

来源：评论

学校读者我要写书评

暂无评论

Monitoring Stress Level Through EDA by Using Convex Optimization 1

引用

1st International Conference on Electronics, Biomedical engineering, and Health Informatics, ICEBEHI 2020

作者： Fajriaty, Nuzula Dwi Rahma, Osmalina Nur Putri, Yang Sa’ada Kamila Ariyansah Putra, Alfian Pramudita Rahmatillah, Akif Ain, Khusnul Biomedical Engineering Study Program Department of Physics Faculty of Science and Technology Universitas Airlangga Surabaya60115 Indonesia Biomedical Signals and Systems Research Group Faculty of Science and Technology Universitas Airlangga Surabaya60115 Indonesia

ISBN: (数字)9789813369269

ISBN: (纸本)9789813369252

This study designed an effective system for monitoring stress levels based on Electrodermal Activity (EDA) sensors by knowing the signal patterns and characteristics using convex optimization decomposition. The EDA sensor considered accurate and sensitive for identifying stress by analyzing the skin conductivity (SC) due to the changes in sympathetic nerve activity. However, the SC signal consists of phasic and tonic components, which needed to decompose to analyze stress levels. The SC signals also followed by the white Gaussian noise, which represents the error value. Hence, deconvolution is a crucial stage for the further process because the quality of the measurement depends on this result. This study aims to deconvolve the SC signal using the convex optimization method (cvxEDA). This model is physiology inspired by EDA based on Bayesian statistics, convex mathematical optimization, and sparsity. This research conducted with 18 subjects through three sessions of measurement. The given stimuli arise in each session to increase the level of stress. The results showed that this method could separate and identify SC. The Phasic component shows an increase in the stimulus of each session, as seen from the number of peaks. In contrast, there were no significant differences in the tonic component. This study shows that the phasic component is closely related to changes in sudomotor nerve activity (SMNA) and response to a stressor, which could be useful to classify stress levels in the future study. © 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Convex optimization

来源：评论

学校读者我要写书评

暂无评论

Geological hazards that occurred on September 28, 2018 in Sirenja sub-district Donggala Regency, Central Sulawesi Province, Indonesia

引用

AIP Conference Proceedings 2023年第1期2719卷

作者： Abdullah Abdullah Ahmad Imam Abdullah Fitrawati A. Marhum Ajeng Listianti Muslimin Umar Botjing Muhammad Rusli Muhammad Dahlan Th Musa Abdul Rahman I. Kadek Sulendra Sandra Sandra Geophysical Engineering Study Program Tadulako University Palu Indonesia Geological Engineering Study Program Tadulako University Palu Indonesia Physics Study Program Tadulako University Palu Indonesia Civil Engineering Study Program Tadulako University Palu Indonesia

The location of the Mw 7.5 earthquake on September 28, 2018, was in the Sirenja District of Donggala Regency or about 75 km to the north of Palu City. We present this paper to complete information on disaster data in the northern part, especially for the Sirenja area as an epicenter location. The scope of this research is to present the types of geological hazards, including the area coverage that influenced them. Starting with studying the geological conditions of the Sirenja area, then identifying and mapping the types of hazards that occur. Five types of geological hazards hit the Sirenja area at that time, namely due to surface rupture faults, earthquake shocks, liquefaction effects, tidal flood inundation, and tsunami. Thus, September 28, 2018, is a time that marks the Sirenja area is prone to several geological hazards, and at any time or without knowing when a natural disaster like this will occur again. Based on the results of this study, the local government and the people of Sirenja District are expected to immediately relocate and make a risk reduction strategy or action plan, where the information from this paper can contribute to this.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Development of Color Detection Based on Camera Infrared Filter with Python Image Processing

Development of Color Detection Based on Camera Infrared Filt...

引用

Student Conference on Research and Development (SCOReD)

作者： Joshu Leonardy Nawal Zuhdaniel Aflah Mohd Rashidi Bin Salim Mohd Haniff Bin Ibrahim Hadi Bin Manap Wildan Panji Tresna Faculty of Electrical Engineering Universiti Teknologi Malaysia JohorBahru Malaysia Military Physics Study Program The Republic of Indonesia Defense University Bogor Indonesia Faculty of Electrical & Electronic Engineering Technology University Malaysia Pahang Al Sultan Abdullah Pekan Malaysia Research Center for Photonics National Research and Inovation Agency Indonesia South Tangerang Indonesia

ISBN: (数字)9798331510077

ISBN: (纸本)9798331510084

This research explores the use of a modified infrared (IR) camera equipped with a high-pass filter to distinguish between natural objects (vegetation) and artificial objects (synthetic military uniforms) in an environment where vegetation makes objects difficult to detect. In military operations, especially guerrilla warfare in tropical forests, detecting enemies camouflaged in vegetation makes it difficult to distinguish targeted objects. Visible light cameras usually struggle to distinguish between synthetic and natural colors. This methodology involves the use of Python programming and various libraries, such as Computer Vision (CV), to process images captured by modified cameras. A graphical user interface (GUI) was developed to analyze color values, focusing on the red, green, and blue spectra. The results show that the modified IR camera can more effectively separate synthetic and natural object color peaks compared to a standard visible light camera, offering potential applications in military reconnaissance and sniper operations. This research demonstrates how image processing can improve object detection in complex environments.

关键词： Image color analysis Vegetation mapping Object detection Reconnaissance programming Cameras Standards Research and development Graphical user interfaces Python

来源：评论

学校读者我要写书评

暂无评论

Properties of activated carbon from arabica coffee grounds originating from Papua highlands

引用

AIP Conference Proceedings 2023年第1期2694卷

作者： Octolia Togibasa Khaeriah Dahlan Martina Bunga Yane Ansanay Mumfaijah Fince Imbiri Department of Physics Physics Study Program Universitas Cenderawasih Jayapura 99358 Indonesia Department of Physics Geophysical Engineering Study Program Universitas Cenderawasih Jayapura 99358 Indonesia

Activated carbon is a carbon material with an amorphous structure and a large surface area within a range of 300-2000 m2/gram, and is commonly used as an adsorbent. In this study, we have successfully synthesized activated carbon using Arabica coffee grounds from Tangma Yahukimo, Papua highlands. The coffee ground waste carbon was activated using both ZnCl2 acid and KOH base chemical activating agents. The fabrication process was carried out as follows: dehydration, carbonization, and chemical activation using ZnCl2 and KOH with various concentrations of 20, 30, and 40%. The activated carbon was characterized using an x-ray diffractometer, a scanning electron microscopy and a Fourier-transformed infrared spectroscopy in order to analyze its crystalline structure, morphology and functional groups of the activated carbon. The x-ray diffraction pattern indicated that there was a formation of amorphous structure, although some additional peaks originated from ZnCl2 and KOH residue were still found. The morphology images showed typical mesoporosity with pore size of approximately 10 µm. The Fourier-transformed infrared spectra revealed unique surface groups suggesting that the activated carbon from Arabica coffee grounds originating from Papua highlands may have the potential to be used as an adsorbent for volatile matters. These results may provide recommendations for further development of activated carbon from Arabica coffee grounds precursor.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Real-time data acquisition system with wireless sensor network on damped harmonic motion

引用

physics Education 2021年第5期56卷 053004-053004页

作者： Saputra, H. Suhandi, A. Setiawan, A. Permanasari, A. Putra, R.A. Natural Science Education Study Program Universitas Pendidikan Indonesia Bandung Indonesia Physics Education Study Program Universitas Samudra Aceh Indonesia Physics Study Program Faculty of Engineering Universitas Samudra Aceh Indonesia

We suggest a simple, practical device with a wireless sensor network system that can be used to record and display data from a spring oscillation system in real-time on a website. The HC-SR04 ultrasonic sensor was utilized to detect changes in load position in the damped spring oscillation system, and the Node-MCU ESP266 was used to transmit data from sensor readings to the server over the internet network. The damping factor, damping coefficient, and spring damping frequency could be utilized to calculate the exponential function graph fitting outcome. © 2021 IOP Publishing Ltd.

关键词： damped harmonic real-time data acquisition ultrasonic sensor wireless sensor network

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：