检索结果-内蒙古大学图书馆

Green Energy, Computing and Sustainable Technology (GECOST), International Conference on

作者： Stephanie Dhanuskodi Rengasamy Filbert H. Juwono Jobrun Nandong Andrew J. Brennan Lenin Gopal Dept. of Acct. Finance and Economics Faculty of Business Curtin University Malaysia Miri Sarawak Malaysia Computer Science Program University of Southampton Malaysia Nusajaya Johor Malaysia Dept. of Chemical and Energy Eng. Faculty of Engineering and Science Curtin University Malaysia Miri Sarawak Malaysia Sch. of Acct. Economics and Finance Faculty of Business and Law Curtin University Bentley Perth Australia Dept. of Electrical and Electronic Eng. University of Southampton Malaysia Nusajaya Johor Malaysia

ISBN: (纸本)9781665486644

Precious metals offer lucrative investments appealing to investors globally, leading to a surge in demand for accurate forecasts. Published literature for prediction applications often employs Artificial Neural Networks (ANNs), possessing desirable generalization over nonlinear data and design flexibility. Recurrent Neural Networks (RNNs) are a class of ANNs designed for time series forecasts providing superior approximations. Nonlinear Autoregressive with Exogenous input (NARX) is an RNN model with high memory retention properties, applied in this study to predict ten assets from the precious metal futures market, for three-month predictions (April 2021-June 2021). Network inputs are evaluated through feature selection to filter uncorrelated factors from the network dataset. Accuracy of prediction is enhanced through multi-objective Response Surface Methodology (RSM) optimization, as several variables characterize RNN performance. Three key variables are selected for analysis through RSM, providing optimum configuration to obtain targeted outcome. Simulation results reveal that five assets produce acceptable result, showing an improved fitness through RSM-suggested configurations. Observations indicate intercorrelation between RSM inputs, highlighting its efficiency over conventional methods. Implementing additional RSM inputs to develop more complex models might achieve further reliability. This research provides performance improvement measures for RNNs utilized in financial data projections.

关键词： Recurrent neural networks Simulation Time series analysis Metals Predictive models Response surface methodology Reliability

来源：评论

学校读者我要写书评

暂无评论

Identification of Magnetite Material (Fe3O4) Based on Natural Materials as Catalyst for Industrial Raw Material Application 1

Identification of Magnetite Material (Fe3O4) Based on Natura...

引用

1st International Conference on Education, science and Technology, ICON-EST 2018

作者： Maulinda Zein, Ikramullah Jalil, Zulkarnain Industrial Engineering Study Program Engineering Faculty of Serambi Mekkah University Banda Aceh Indonesia Material Physics Laboratory Department of Physics Faculty of Mathematics and Natural Science SyiahKuala University Banda Aceh Indonesia

Identification of magnetite nanoparticles synthesized from natural iron sand with a chemical treatment that is by using thecoprecipitation method on temperature and heated spaces, using a pair of acids and bases, i.e. HCL as a solvent NH4OH and as its precipation. The Crystal structure, the percentage of elements, the particle size and properties of the magnetism material characterization by XRD, XRF identification testing, and permagraph. From the results obtained in the Analysis that the value of the percentage purity of Fe3O4 are derived from Natural Sands before Extraction is of 81.42%, and once on extract 86.73% increase to its purity. From the results of the analysis of properties of ferrite magnet to Fe3O4from sand iron retrieved the value of Saturation Magnetization (Ms) produced amounted to 0.29 T, or residual magnetization Remanence (Br) of 0081 T, and Coercivityy(Hc) amounted to 1.82 kA/m expected data analysis results may explain the comparison characteristics in structure and magnetic properties of material with a natural sand Fe3O4 Aldrich so it can be an additional related information value added (added value) the local SDA. © Published under licence by IOP Publishing Ltd.

关键词： Magnetite

来源：评论

学校读者我要写书评

暂无评论

Diffractive Guiding of Waves by a Periodic Array of Slits

引用

Physical Review Letters 2021年第1期127卷 014303-014303页

作者： Dror Weisman C. Moritz Carmesin Georgi Gary Rozenman Maxim A. Efremov Lev Shemer Wolfgang P. Schleich Ady Arie School of Electrical Engineering Iby and Aladar Fleischman Faculty of Engineering Tel Aviv University Tel Aviv 69978 Israel Institut für Quantenphysik and Center for Integrated Quantum Science and Technology (IQST) Universität Ulm Albert-Einstein-Allee 11 89081 Ulm Germany Raymond and Beverly Sackler School of Physics & Astronomy Faculty of Exact Sciences Tel Aviv University Tel Aviv 69978 Israel Institute of Quantum Technologies German Aerospace Center (DLR) Söflinger Straße 100 89077 Ulm Germany School of Mechanical Engineering Faculty of Engineering Tel Aviv University Tel Aviv 69978 Israel Hagler Institute for Advanced Study at Texas A&M University Texas A&M AgriLife Research Institute for Quantum Science and Engineering (IQSE) and Department of Physics and Astronomy Texas A&M University College Station Texas 77843-4242 USA

We show that in order to guide waves, it is sufficient to periodically truncate their edges. The modes supported by this type of wave guide propagate freely between the slits, and the propagation pattern repeats itself. We experimentally demonstrate this general wave phenomenon for two types of waves: (i) plasmonic waves propagating on a metal-air interface that are periodically blocked by nanometric metallic walls, and (ii) surface gravity water waves whose evolution is recorded, the packet is truncated, and generated again to show repeated patterns. This guiding concept is applicable for a wide variety of waves.

关键词： Beam optics Classical optics Plasmonics Spatial profiles of optical beams Surface gravity waves Surface plasmon polariton Waveguides

来源：评论

学校读者我要写书评

暂无评论

Disaster Robot Navigation using Behavior-based Systems 3

Disaster Robot Navigation using Behavior-based Systems

引用

3rd International Conference on Applied science and Technology, iCAST 2020

作者： Kuswadi, Son Tamara, Mohamad Nasyir Brahmantio, Bagoes Taufiq Sugiharto, Debynata Mohammad, N.U.H. Mechatronic Study Program Machanical and Energy Department Politeknik Elektronika Negeri Surabaya Surabaya Indonesia Mechatronic Study Program Machanical and Energy Department Politeknik Negeri Banyuwangi Banyuwangi Indonesia PT Prima Nurjwan Samudera Indonesia Group Jakarta Indonesia PT Pabrik Kertas Tjiwi Kimia APP Sinar Mas Group Sidoarjo Indonesia Biomedical Engineering Department Faculty of Inteliigent Electrical and Informatics Technology Institut Teknologi Sepuluh Nopember Surabaya Indonesia

ISBN: (纸本)9781728195674

In a natural disaster, it is often necessary to have an autonomous system capable of moving in an irregular and unpredictable area. This paper proposes a robot that is mechanically capable of moving in a disaster area and equipped with a navigation using behavior-based systems. Its mechanical, electronic and computing systems are described. The development of the primitive behavior that has been made is explained in detail. Several experiments have been carried out to show the performance of the proposed robotic systems. © 2020 IEEE.

关键词： Disasters

来源：评论

学校读者我要写书评

暂无评论

A comprehensive approach utilizing quantum machine learning in the study of corrosion inhibition on quinoxaline compounds

Artificial Intelligence Chemistry

引用

Artificial Intelligence Chemistry 2024年第2期2卷

作者： Muhamad Akrom Supriadi Rustad Hermawan Kresno Dipojono Ryo Maezono Study Program in Informatics Engineering Faculty of Computer Science Universitas Dian Nuswantoro Semarang 50131 Indonesia Research Center for Materials Informatics Faculty of Computer Science Universitas Dian Nuswantoro Semarang 50131 Indonesia Quantum and Nano Technologies Research Group Faculty of Industrial Technology Institut Teknologi Bandung Bandung 40132 Indonesia School of Information Science Japan Advanced Institute of Science and Technology Ishikawa 923-1292 Japan

In this investigation, a quantitative structure-property relationship (QSPR) model coupled with a quantum neural network (QNN) was used to explore the corrosion inhibition efficiency (CIE) of quinoxaline compounds. Integrating quantum chemical properties (QCP) features reduced computational burden by strategically reducing the features from 11 to 4 while maintaining prediction accuracy. QNN models outperform traditional methods like artificial neural networks (ANN) and multilayer perceptron neural networks (MLPNN), with a coefficient of determination (R 2 ) value of 0.987, coupled with diminished root mean square error (RMSE), mean absolute error (MAE), and mean absolute deviation (MAD) values of 0.97, 0.92, and 1.10, respectively. Predictions for six newly synthesized quinoxaline derivatives: quinoxaline-6-carboxylic acid (Q1) , methyl quinoxaline-6-carboxylate (Q2) , (2 E ,3 E )-2,3-dihydrazono-1,2,3,4-tetrahydroquinoxaline (Q3) , (2 E ,3 E ) 2,3-dihydrazono-6-methyl-1,2,3,4-tetrahydroquinoxaline (Q4) , ( E )-3-(4-methoxyethyl)-7-methylquinoxalin-2(1 H)-one (Q5) , and 2-(4-methoxyphenyl)-7-methylthieno[3,2- b ] quinoxaline (Q6) , show remarkable CIE values of 95.12, 96.72, 91.02, 92.43, 89.58, and 93.63 %, respectively. This breakthrough technique simplifies testing and production procedures for new anti-corrosion materials.

关键词： Quantum neural network QSPR Corrosion inhibition Quinoxaline

来源：评论

学校读者我要写书评

暂无评论

Internet of Things in disaster management systems: A systematic review

引用

AIP Conference Proceedings 2023年第1期2594卷

作者： G. P. L. Barnabas H. Citrawati T. A. Santoso N. Surantha Computer Science Department BINUS Graduate Program-Master of Computer Science Bina Nusantara University Jakarta Indonesia 11480 Department of Electrical Electronic and Communication Engineering Faculty of Engineering Tokyo City University Tamazutsumi 1-28-1 Setagaya City Tokyo 158-8557 Japan

Disasters are unexpected, sudden events that may cause monumental damages to both materials and human lives. Hence, the unpredictability and destruction that follow when a disaster happens to pose a dire challenge for researchers, scientists, and governments to find ways to effectively handle the situation and flow of information when such an event strikes. The Internet of Things (IoT) presents a solution that involves using one or more mobile devices connected over the network, thus making the transfer of data and information more effective and efficient. This paper presents a holistic analysis of the state-of-the-art IoT technologies which can answer the challenge posed above, in addition to the demand for efficiency, mobility, accuracy, as well as better communications between the command center and all actors involved in disaster operations. The applications of IoT have varied for many purposes. We divide those purposes into two broad strokes of pre-disaster management and post-disaster management IoT-aided systems. For pre-disaster management, the IoT-aided systems are mostly used to predict the possible disaster that might happen using sensors placed in strategic places. Finally, for post-disaster management, the IoT-aided systems aid in improving the effectiveness and accuracy of evacuation, relief, and victim-tracking efforts.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Livelihood strategies of cocoa farmer households in Polewali Mandar district, West Sulawesi

引用

AIP Conference Proceedings 2024年第1期3098卷

作者： P. Astaman A. N. Hikmah M. Dassir A. R. Siregar H. Hariyadi St Aisyah Agriculture Science Program Graduate School Hasanuddin University Makassar Indonesia Faculty of Agriculture Muhammadiyah University of Sinjai Sinjai Indonesia Agribusiness Study Program Muhammadiyah Institute of Technology and Business Polewali Mandar Indonesia Faculty of Forestry Hasanuddin University Makassar Indonesia Faculty of Animal Husbandry Hasanuddin University Makassar Indonesia Engineering Faculty Muhammadiyah University of West Sumatera Medan Indonesia Faculty of Agriculture University of State Gorontalo Gorontalo Indonesia

Cocoa farming households carry out various livelihood strategies to maintain their survival. The decline in cocoa production is caused by pests and diseases, climate change, bad seeds, and the farmers’ cocoa plants are old. These constraints will affect the condition of cocoa farmer households. This study aims to identify the livelihood strategies and structures carried out by cocoa farming households. The method used in this study uses a quantitative approach using a questionnaire supported by a qualitative approach through in-depth interviews. The research respondents consisted of 30 cocoa farming households in Polewali Mandar Regency. The results of this study show that the livelihood strategies used by cocoa farmer households are engineering income sources and income diversification. The average livelihood structure of cocoa farmer households comes from the non-farm sector.

关键词：

来源：评论

学校读者我要写书评

暂无评论

The development of environmental knowledge and the use of solar energy using environmental responsibility behavior in Central Java

引用

IOP Conference Series: Materials science and engineering 2021年第4期1098卷

作者： H Hamiyati M Subekti I A Rahardjo Family Welfare Education Study Program Faculty of Engineering Universitas Negeri Jakarta Jakarta Indonesia Electrical Engineering Education Program Faculty of Engineering Universitas Negeri Jakarta Jakarta Indonesia

Energy has an essential meaning in life to continue to develop and support economic and environmental activities. Every year energy in Indonesia increases rapidly in line with human growth. To supply energy needs, renewable energy sources must be developed. Renewable energy potentials such as solar energy have never been used on a large scale even though Indonesia has enormous energy potential. Solar energy can be used in the form of solar cells for electricity generation. The utilization of solar cells can help people who live in remote areas far from the electricity network. This research was conducted in Central Java by using descriptive qualitative methods and using research and development (R&D) methods. The technique used is an expressive qualitative analysis technique. The result solution implemented is to meet the increasing electrical energy needs of the community. This research produces renewable energy that can be used as a solution to solving the electrical energy crisis at an affordable cost and can increase the independence of the community so that it does not depend on government electricity supply and improve environmental responsibility behavior.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Crack Catcher AI — Enabling Smart Fracture Mechanics Approach for Damage Control in Thin Silicon Wafers for 3D Semiconductor Integrated Devices/Packages

Crack Catcher AI — Enabling Smart Fracture Mechanics Approa...

引用

Annual International Symposium on Reliability Physics

作者： Gabriel Preston Greer Gonzolez Andrea S. Karnyoto Fitya S. Mozar Matthew M. Henry Mahmud Isnan Kuncahyo S. Nugroho Henry Candra Muhamad Doris Dianing N. N. Putri Tyas K Sari Bens Pardamean Endang Djuana Derrric Speaks Arief S. Budiman Oregon Renewable Energy Center (OREC) Oregon Institute of Technology (Oregon Tech) Klamath Falls OR USA Dept. of Manufacturing & Mechanical Eng. & Tech. (MMET) Oregon Institute of Technology Klamath Falls OR USA Bioinformatics & Data Science Research Center (BDSRC) Bina Nusantara University Jakarta Indonesia Computer Sci. Dept. BINUS Grad. Program - Master of Computer Sci. Bina Nusantara University Jakarta Indonesia Computer Science Department School of Computer Science Bina Nusantara University Jakarta Indonesia Center for Artificial Intelligence and Advanced Technology (CAPTIVATE) Universitas TRISAKTI Jakarta Indonesia Department of Electrical Engineering Faculty of Industrial Technology Universitas TRISAKTI Jakarta Indonesia Industrial Eng. Dept. BINUS Grad. Program – Master of Industrial Eng. Bina Nusantara University Jakarta Indonesia

ISBN: (数字)9798331504779

ISBN: (纸本)9798331504786

The importance of silicon cannot be undermined - in photovoltaics (PV) as well as in semiconductor industries. However, silicon is very brittle. Silicon cells/wafers crack easily during manufacturing assembly and/or during device operations. Crack Catcher AI uses novel smart fracture mechanics approach with Artificial Intelligence (AI) methodologies to predict and control crack/damage evolution in thin silicon cells/wafers. This is critical as semiconductor 3D integration technology calls for wafer-to-wafer bonding with utmost alignment accuracy and yield/reliability.

关键词： Semiconductor device measurement Three-dimensional displays Accuracy Semiconductor device reliability Silicon Artificial intelligence Bonding Stress Three-dimensional integrated circuits Stress measurement

来源：评论

学校读者我要写书评

暂无评论

Induction voltages square and triangle solenoid as alternatives electrical energy resources

Induction voltages square and triangle solenoid as alternati...

引用

2018 International Conference on Research and Learning of Physics, ICRLP 2018

作者： Pathoni, H. Pratiwi, D. Education Physics Study Program Education and Teacher Training Faculty Jambi University Jl. Jambi Muara-Bulian Km15 Mendalo Darat Jambi36361 Indonesia Electrical Engineering Study Program Engineering Faculty Jambi University Jl.Tri Brata Pondok Meja Muara Jambi Jambi Indonesia

Solenoids have been made with square and triangular cross-sections. Both kinds of solenoids are made with an iron core and without an iron core. The solenoids specification were 12 cm long and 3.5 cm wide with 220 windings and 900 windings. The iron core specification was 12.5 cm long and 8 mm diameter. The induction voltages both of solenoids have calculated with experiments method in the laboratory. Calculation of induction voltages with the experiment method used the motor as the magnetic drive, full-wave rectifier circuit, neodym magnet, and led lamp. Induction voltage and electric current obtained of each solenoid for range from two cm until ten cm. The closest distance between the solenoid with the motor as magnetic drive and the greater the number of solenoid windings produced the greater the induction voltages. Triangular-sided solenoids with 220 windings produced faster induction voltages than the square-sided solenoid for the same number of windings. While an iron core solenoids produced faster induction voltages than solenoid without an iron core. © 2019 Published under licence by IOP Publishing Ltd.

关键词： Solenoids

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：