检索结果-内蒙古大学图书馆

2022 Annual Conference, ASPRS 2022

作者： Virtriana, R. Riqqi, A. Anggraini, T.S. Fauzan, K.N. Ihsan, K.T.N. Mustika, F.C. Atmaja, F.W. Suwardhi, D. Harto, A.B. Sakti, A.D. Deliar, A. Soeksmantono, B. Wikantika, K. Remote Sensing and Geographic Information Sciences Research Group Faculty of Earth Sciences and Technology Institut Teknologi Bandung Bandung40132 Indonesia Center for Remote Sensing Institut Teknologi Bandung Bandung40132 Indonesia Center for Spatial Data Infrastructure Institut Teknologi Bandung Bandung40132 Indonesia Master Program of Geodesy and Geomatics Engineering Faculty of Earth Sciences and Technology Institut Teknologi Bandung Jl. Ganesha No.10 Bandung40132 Indonesia Doctoral Program of Geodesy and Geomatics Engineering Faculty of Earth Sciences and Technology Institut Teknologi Bandung Jl. Ganesha No.10 Bandung40132 Indonesia

Food security is highly dependent on three aspects, namely food availability, food access, and food utilization. The availability aspect depends on food supply which is identical to agricultural productivity. West Java Province is the third national rice producer with 16.6%, but West Java Province is the most extensive rice consumer, around 21.1% of the total national rice consumption. Agricultural productivity can decline due to natural hazards such as floods and droughts. Monitoring floods and droughts in paddy fields are necessary to prevent decreased agricultural productivity. This study aims to monitor the rice fields from the dangers of flooding and drought every month. Agricultural hazard monitoring is divided into two parameters, namely static parameters and dynamic parameters. Dynamic parameters are observed every month so that the hazard index is generated on a monthly scale. GIS and Remote sensing data are integrated to perform agricultural hazard modelling. Furthermore, this agricultural hazard modelling results will be strengthened by using big to provide information about an almost real-Time event that can be accessed through the Application program Interface (API) service. This study uses a data mining system from Drone Emprit that performs data mining on Twitter and news portals with machine learning technology (probabilistic classifier) and Natural Learning Process. The results obtained are around 15,000 data from January 1 to November 1, 2021, and 37.9% of them are identified by location based on the city or district level in West Java Province. It is hoped that the policy-maker can consider the area of agricultural land that requires assistance to increase productivity and plan a policy to support agriculture in West Java in the future. © 2022 R. Virtriana et al.

关键词： Agriculture

来源：评论

学校读者我要写书评

暂无评论

The application of membrane filtration process for the reduction of laundry waste contaminants: Performance and antifouling properties of chitosan modified PVDF

引用

AIP Conference Proceedings 2024年第1期3082卷

作者： Yanna Syamsuddin Sofyana Zuhra Cut Meurah Rosnelly Annisa Lutfiana Aulia Chintia Ambarita Rauzah Tarisma Sri Mulyati Department of Chemical Engineering Faculty of Engineering Universitas Syiah Kuala Banda Aceh 23111 Indonesia Doctoral Program School of Engineering Post Graduate Program Universitas Syiah Kuala Banda Aceh 23111 Indonesia

The laundry liquid waste treatment has been carried out using a membrane filtration method. PVDF membrane was modified with chitosan as an additive and made by phase inversion technique. The performance of the membrane was tested against pure water flux and removal of COD and BOD compounds in laundry waste. COD and BOD are parameters that indicate the presence of organic pollutants in laundry waste. The research results show that pure water flux, BOD and COD fluxes of modified PVDF membrane increased compared to pure PVDF membrane. The selectivity of the modified membrane decreased slightly due its porosity is more porous than pure membrane. The modified membrane was able to reduce 61.45 % COD and 82.56 % for BOD. This value is lower than the pure PVDF value, which gives a percent removal of 68 % for BOD and 89.54% for COD. The antifouling properties were tested by measuring the Fouling Recovery Ratio (FRR). The FRR value of the modified membrane is higher than of the pure PVDF membrane, that was 97.62% and 84,3%, respectively.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Development of a lanthanum hexaboride hollow cathode for a magnetic octupole thruster

引用

Vacuum 2023年 214卷

作者： Hsieh, Jordan H. Shen, Mitchell M. Li, Yueh-Heng Huang, Ping-Han Department of Aeronautics and Astronautics National Cheng Kung University Tainan70101 Taiwan Department of Astrophysical Sciences Princeton University PrincetonNJ08544 United States International Doctoral Degree Program on Energy Engineering National Cheng Kung University Tainan70101 Taiwan

Electric propulsion has undergone significant advancements, leading to increased usage in satellite constellation management and orbital transfer vehicles. This study describes the design and development of a lanthanum hexaboride (LaB6) hollow cathode for the Magnetic Octupole Plasma Thruster (MOPT), a novel electric propulsion concept for future space missions. Its operational characteristics are also provided. To gain insights into the coupling behavior between the cathode plume and the octupole magnetic field, the hollow cathode was operated with and without an octupole magnet over a range of discharge currents and flow rates. The results indicate that the discharge voltage was anti-correlated with the discharge current and flow rate. Notably, the octupole magnetic field observed reduced discharge voltage oscillations in both high- and low-discharge-current regimes. Nonetheless, the existence of the magnetic field was associated with the amplification of ionization-like instabilities in the high-flow-rate regime. Finally, the paper also delves into the plasma behavior under the influence of the octupole magnetic field, signifying an advancement in developing LaB6 hollow cathodes for their potential use in space-based MOPT applications. © 2023 Elsevier Ltd

关键词： Magnetic fields

来源：评论

学校读者我要写书评

暂无评论

Golden snail shell as a chitosan source for modification of membranes based off hydrophobic polymers: Performance of humus acid removal in a crossflow system

引用

AIP Conference Proceedings 2024年第1期3082卷

作者： Syawaliah Muchtar Cut Rosnelly Meurah Yanna Syamsuddin Aulia Chintia Ambarita Anisa Luthfiana Sri Mulyati Department of Chemical Engineering Faculty of Engineering Universitas Syiah Kuala Banda Aceh 23111 Indonesia Doctoral Program School of Engineering Post Graduate Program Universitas Syiah Kuala Banda Aceh 23111 Indonesia

Membranes from blending of chitosan with hydrophobic polymers Polyethersulfone (PES) and Polyvinylidene Fluoride (PVDF) have been prepared, characterized, and evaluated in terms of antifouling properties against humus acid contained in water. The preparation of membrane adapts the common phase inversion technique, whereas the filtration performance test was done by using crossflow set-up. The findings of the work showed that the addition of 5% chitosan into the casting solution increased the permeability of both hydrophobic membranes. The positive outcome from the increased hydrophilicity simultaneously results in a higher pure water flux of the chitosan-blended membranes compared to the original ones. Not only that, the modification also improves the antifouling properties of the membranes which shown from an increase in Flux Recovery Ratio (FRR) of 92% and 88% respectively for PES and PVDF membranes with the addition of 5% chitosan. The obtained results evidenced that golden snail shell is a potential modifier for membrane production.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Unbalance Fault Diagnosis in Electric Motors under Non-Stationary Load Conditions: An Iterative Filter Decomposition Approach

Unbalance Fault Diagnosis in Electric Motors under Non-Stati...

引用

International Conference on Instrumentation Control and Automation (ICA)

作者： Imron Rosyadi Yul Yunazwin Nazaruddin Parsaulian Ishaya Siregar Doctoral Program of Engineering Physics Faculty of Industrial Technology Institut Teknologi Bandung Bandung Indonesia Electrical Engineering Department Universitas Jenderal Soedirman Purwokerto Indonesia Department of Engineering Physics Instrumentation and Control Research Group Institut Teknologi Bandung Bandung Indonesia National Center for Sustainable Transporation Technology Institut Teknologi Bandung Bandung Indonesia

In electric vehicles, the dynamic nature of driving conditions, speed variations, and fluctuations in loads introduce non-stationary loads on electric motors. These non-uniform load distributions can result in mechanical imbalance faults within the motor, leading to increased vibrations, reduced motor performance, and potential mechanical stress on its components. The development of advanced diagnostic methods is crucial for detecting and addressing these mechanical balance faults in electric motors. This article introduces a novel approach for diagnosing mechanical unbalance faults using local iterative filter decomposition, specifically designed for electric motors operating under non-stationary load conditions. The experimental results demonstrate that the application of iterative filter decomposition yields superior outcomes compared to the absence of decomposition. By employing this method, the algorithm achieves a classification accuracy exceeding 80% for all types of unbalances, including the detection of low-speed rotation unbalance faults, which are known to be challenging to identify.

关键词：

来源：评论

学校读者我要写书评

暂无评论

The Smart Analysis of Performing Scalable Inference for Big Data Analytics

The Smart Analysis of Performing Scalable Inference for Big ...

引用

International Conference on Power Energy, Environment and Intelligent Control (PEEIC)

作者： Vishakha D Bhandarkar Aruna Sri Rongali Mohamed Dawood Shamout Prof. Sachin Pund Gigih Forda Nama Shrishailappa Patil Applied Mathematics and Humanities Yeshwantrao Chavan College of Engineering India Graduate Doctoral Information Technology/Graduate (Information Technology Emphasis/Information Technology Ph.D.) University of The Cumberlands US Department of Management College of Business Administration University of Sharjah Sharjah United Arab Emirates Department of Industrial Engineering Shri Ramdeobaba College of Engineering and Management Nagpur Maharashtra India Department of Informatics Doctoral Program of Environtmental Science University of Lampung Bandar Lampung Computer engineering Vishwakarma Institute of Technology Pune

This paper examines the reproducibility of massive information analytics under particular factors. The paper proposes the “performing Scalable Inference” technique to cope with scalability troubles and to exploit current big statistics platforms for efficient computing and statistics garage of the statistics. In particular, the paper describes how to perform leak-free, parallelizable visible analytics over massive datasets using present extensive records analytics frameworks such as Apache Flink. This method presents an automated manner to execute analytics that preserves reproducibility and the ability to make adjustments without re-running the entire technique. The paper also demonstrates how these analytics may help several real-world use instances, explore affected person cohorts for studies, and develop stratified patient cohorts for hospital therapy. In the end, the paper observes how the proposed method may be exercised within the real world. Actively scalable inference for massive information analytics is pivotal in optimizing decision-making and allocation of assets. Typically, such inferences are made based on information accumulated from numerous sources, databases, unstructured data, and different digital sources. So one can ensure scalability, a complete cloud-primarily based platform has to be hired. This solution will permit the ***, deploying the essential records series and evaluation algorithms are prime here. It could permit the platform to recognize the styles inside the statistics and discover any ability correlations or traits. Additionally, predictive analytics and system mastering strategies may be incorporated to provide insights into the results of the information. In the long run, by leveraging those techniques, the platform can draw efficient inferences and appropriately compare situations in an agile and green way..

关键词：

来源：评论

学校读者我要写书评

暂无评论

The profile of pempek as a determining factor of quality, originality and ethnicity

The profile of pempek as a determining factor of quality, or...

引用

International Conference on Science and Technology Applications 2019, ICoSTA 2019

作者： Supriadi, A. Saputra, D. Priyanto, G. Baehaki, A. Pambayun, R. Doctoral Stud. at the Faculty of Agriculture Universitas Sriwijaya Indonesia Agricultural Engineering Study Program Faculty of Agriculture Agricultural Product Technology Study Program Faculty of Agriculture Fishery Product Technology Study Program Faculty of Agriculture Universitas Sriwijaya Palembang30139 Indonesia

Pempek is a traditional ethnic food originated from Palembang, South Sumatra, Indonesia. Currently, there is not exist any profiles which could be used as a determining factor for quality, originality, and ethnicity of pempek. The objective of this research was to obtain the chemical profile of pempek as a determining factor of quality, originality and ethnicity. The samples were collected from the ten famous branded vendors in Palembang. The fish used in making pempek of the samples are snake head fish, Spanish mackerel, and the mix of snake head and Spanish mackerel. The type of pempek used in this experiment was steamed cook pempek lenjer (cylindrical) type. The analysis was performed at a KAN accredited laboratory. It was found that the energy content of pempek used in this experiment was in the range of 125 to 160 kkal/100 g sample and all the pempek used had a 0% of fat. All pempek used had 17 types of amino acid, and all of them had an essential amino acid. The significant finding was that the concentration of glutamic acid was 200% of the concentration of common concentration which indicated that all the vendors used artificial mono-sodium glutamate to improve the taste of pempek. It was concluded that the chemical profile found on this research could be used as database for creating a standard of identity of pempek. © Published under licence by IOP Publishing Ltd.

关键词： Fish

来源：评论

学校读者我要写书评

暂无评论

Comparative Study of Deep Learning Methods through Improvement of Skin Image Quality of Basal Cell Carcinoma

Comparative Study of Deep Learning Methods through Improveme...

引用

International Seminar on Research of Information Technology and Intelligent Systems (ISRITI)

作者： Ade Miftahul Jannah Kahlil Muchtar Maulisa Oktiana Aulia Rahman Yagus Cahyadi Novi Maulina Dept. of Electrical and Computer Engineering Universitas Syiah Kuala Aceh Indonesia Dept. of Information System Universitas Teknologi Digital Indonesia Yogyakarta Indonesia Doctorate Student of Doctoral Program in Medical Sciences Faculty of Medicine Universitas Syiah Kuala Indonesia Aceh Indonesia

Basal cell carcinoma (BCC) or commonly known as basal cell cancers is the most common non-melanoma skin disease in the world. BCC is the result of an interaction between a combination of genetic and environmental factors that are directly related to prolonged exposure to ultraviolet (UV) rays, such as the neck and head area. This study proposes to use the CLAHE (Contrast Limited Adaptive Histogram Equalization) method on skin images to improve image quality. CLAHE is an image quality improvement method that aims to obtain images with better contrast than the original image without reducing the quality of the image itself. The experimental results show that the CLAHE image are more accurate than the original image. For quantitative measurements, the performance is seen from the value of accuracy, precision, recall, specificity, and F-score. To be more specific, the experiments utilized the well-known public dataset called ISIC 2018 Dataset (for BCC image), while the normal skin used our own USK-Normal Skin dataset. The results for original image using VGG-16 architecture is 98,3%, ResNet-34 is 97,5%, EfficientNetB0 is 98,2%, and EfficientNet-B7 is 99,7%, respectively. Meanwhile, in the CLAHE image, the accuracy values obtained are higher, for the VGG-16 is 100%, ResNet-34 99.5%, EfficientNetB0 100% and EfficientNet-B7 100%, respectively. The normal skin dataset is available through this link: https://***/USK-NORMAL-SKIN-DATASETI.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Privacy Preserving Electronic Health Record with Consortium Blockchain

Privacy Preserving Electronic Health Record with Consortium ...

引用

International Conference on Information Technology, Information Systems and Electrical engineering (ICITISEE)

作者： Adri Gautama Adian Fatchur Rochim Luhur Bayuaji Doctoral Program of Information System School of Postgraduate Studies Diponegoro University Semarang Indonesia Department of Computer Engineering Diponegoro University Semarang Indonesia Computer Science Budi Luhur University Jakarta Indonesia

Every patient has health record, it was written as statement of patient's conditions, treatments, and medications, and nowadays it is become digitalized, it can be copied and shared easily, but the nature of EHR is private, not for public, private between patients and healthcare provider. Privacy preserving can be done by implementing Blockchain network for storing EHR, only authorized users or nodes can access and write data to the network. New block in blockchain created as per consensus among nodes, every node can join a blockchain network if it is public, to meet a consensus required resources intensive cryptographic challenge, in private blockchain, only selected can join and involved in the network or specific transaction. In healthcare, data privacy is the main concerned, need a secure, scalable, and efficient blockchain hence implementing consortium blockchain is perfect match for EHR where multiple healthcare provider can operate in a single platform to conduct transaction or sharing EHR among members. This study analyzes 15 articles derived from IEEE Explore, Science Direct and Scopus by implementing screening with keyword Consortium Blockchain and EHR and proposing new blockchain model accommodating solution for challenges on access, storage, sharing, privacy, and performance.

关键词： Electrical engineering Data privacy Privacy Analytical models Monte Carlo methods Medical services Blockchains

来源：评论

学校读者我要写书评

暂无评论

Enhancing polyethersulfone membrane durability and stability through Eco-friendly green silica from natural kaolin for water treatment applications

引用

Results in engineering 2025年 26卷

作者： Mulyati, Sri Muchtar, Syawaliah Razi, Fachrul Ambarita, Aulia Chintia Luthfiana, Anisa Aulia, Muhammad Prayogie Bilad, Muhammad Roil Department of Chemical Engineering Faculty of Engineering Universitas Syiah Kuala Banda Aceh23111 Indonesia Doctoral Program School of Engineering Science Universitas Syiah Kuala Banda Aceh23111 Indonesia Department of Chemical Science and Engineering Kobe University 1-1 Rokkodai Nada Kobe647-8501 Japan Faculty of Integrated Technologies Universiti Brunei Darussalam Jalan Tungku Link BE1410 Brunei

Membrane technology is pivotal in addressing global water scarcity;however, issues such as membrane fouling and chemical degradation significantly hinder its operational efficiency and longevity. This study investigates the use of eco-friendly green silica derived from natural kaolin as an additive to enhance the performance of polyethersulfone (PES) membranes fabricated via the phase inversion method. Seven membrane compositions were developed, incorporating varying concentrations of both green silica and commercial silica, to allow a direct performance comparison. The membranes were systematically characterized for hydrophilicity, porosity, pore size distribution, and mechanical stability, while their filtration performance was evaluated in terms of water flux, humic acid (HA) rejection, fouling resistance, and chemical *** findings revealed that green silica enhanced membrane hydrophilicity and porosity at optimal concentrations, leading to improved fouling resistance and cleaning efficiency. Notably, the membrane containing 1 % green silica (M-K3) exhibited a high HA rejection rate of 98.37 % with a moderate water flux of 10.85 L/m²·h, balancing selectivity and permeability. In contrast, membranes containing 1 % commercial silica (M-S3) showed higher water flux (86.83 L/m²·h) but lower HA rejection (73.75 %), highlighting a trade-off. Green silica-modified membranes also demonstrated superior chemical stability, maintaining consistent performance under extended filtration and exposure to cleaning agents. These results underscore the potential of kaolin-derived green silica as a cost-effective, sustainable, and high-performance alternative to commercial additives in water treatment membranes. © 2025 The Author(s)

关键词： Pore size

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：