检索结果-内蒙古大学图书馆

International Conference on Computing, engineering, and Design (ICCED)

作者： Rahmat Hidayat Achmad Solichin Adhitia Erfina Sudin Saepudin Muhamad Muslih Mohd Zainuri Saringat Master of Computer Science Budi Luhur University Jakarta Indonesia Information Systems Study Program Nusa Putra University Sukabumi Indonesia Department of Software Engineering Faculty of Computer Science and Information Technology Tun Hussein Onn Malaysia University

ISBN: (数字)9798331529376

ISBN: (纸本)9798331529383

The Plasmodium parasite, which causes malaria, is an acute fever illness that infects people when a female Anopheles mosquito bites them. It is predicted that malaria would claim 619,000 lives in 2021, with 96% of those deaths occurring in the African continent. We can achieve this by using a microscope to examine thick and thin blood smears. The proficiency of a microscope examiner is crucial for doing microscopic examinations. Consider how time-consuming, ineffective, and costly it would be to examine thousands of malaria cases. Consequently, Creating an automated method for detecting malaria parasites is the aim of this study. We employ a MobileNetV2 pretrained model with CNN technology. Because it has been trained on dozens or even millions of data points, this pretrained model is incredibly light but dependable. There are two main benefits of automatic malaria parasite detection: firstly, it can offer a more accurate diagnosis, particularly in locations with limited resources; secondly, it lowers diagnostic expenses. The optimizer utilizes Adam Weight, the criteria uses NLLLoss, and the model is trained using 32 for batch_size. In the fourteenth epoch, we obtained the maximum accuracy score of 96.26% based on the training data. The outcomes of the predictions demonstrate how excellent this score is. EfficienceNet, DenseNet, AlexNet, and other pretrained models are among the alternatives that scientists are advised to try training with.

关键词： Training Adaptation models Accuracy Costs Malaria Microscopy Data visualization Training data Cost function Data models

来源：评论

学校读者我要写书评

暂无评论

Salt Hash Password Using MD5 Combination for Dictionary Attack Protection

Salt Hash Password Using MD5 Combination for Dictionary Atta...

引用

International Conference of Computer and Informatics engineering (IC2IE)

作者： Agung Nugroho Teddy Mantoro Cyber Defense Engineering Study Program Sains and Defense Technology Faculty The Republic of Indonesia Defense University Bogor Indonesia Departement of Computer Science Media-Tech Lab Sampoerna University Jakarta Indonesia

Using MD5 hashing of passwords in web logins is highly vulnerable to dictionary attacks. One online application for cracking hashed passwords using a dictionary attack that is free and easy to use is ***. Even so, the use of hashing passwords using MD5 which has a low level of security is still commonly found to secure web login passwords. This research presents an increase in security through a combination of salt hash passwords when using MD5. The methodology of this study uses a quantitative experimental method to apply hash salt passwords using the MD5 combination. The password cracking test was carried out using the *** online hash cracking application on weak passwords such as “admin” with the addition of a password hash salt using the MD5 combination. The results showed that Salt Password using the MD5 combination could not be cracked by *** using a dictionary attack.

关键词：

来源：评论

学校读者我要写书评

暂无评论

High Level Learning Approach for High Level Collision Avoidance Using Sensors 1

High Level Learning Approach for High Level Collision Avoida...

引用

1st IEEE International Interdisciplinary Humanitarian Conference for Sustainability, IIHC 2022

作者： Naibaho, Lamhot Razauddin Vertivendan, L. Karunakaran, V. Oberoi, Ashish Vishwath, N.C. Ajay Christian University of Indonesia English Language Education Study Program Faculty of Letters and Languages Indonesia Gulf Colleges Saudia Arabia Department of Computer and Information Sciences Saudi Arabia Galgotias University Department of CSE Uttar Pradesh Greater Noida India Faculty of Engineering and Technology Department of CSE Bangalore India RIMT University Department of CSE Godindgarh Mandi India Parul Institute of Engineering and Technology Parul University Aeronautical Department India

ISBN: (纸本)9781665456876

Motion planning for many unmanned aircraft is challenging because they have a larger configuration space than self-driving automobile development (Automated guided vehicles). Additionally, there are more significant uncertainties and disruptions in UAV environments, which makes inter automatic navigation more difficult. In this letter, I proposed a 2 recurrent neural networks (RL) oriented multi-UAV collision avoidance technique by modeling the unpredictability or noise in the environment. Our objective is to create a strategy that can construct a path without clashing with anything using local noisy data. But unlike supervised algorithms, RL lacks a steady training data set with floor labels, thus its collision avoidance strategies often show significant fluctuation and are difficult to reproduce. To solve these issues, we created a two-stage training method for RL-based collision avoidance. We first optimize the policy, and then we utilize a supervised learning methodology with a loss function that encourages the agents to adopt the well-known reciprocity obstacle detection mechanism. In the second step, we use transmission to fine-tune the policy. The complete computer simulation findings demonstrate that this approach can handle noisy local views with erratic sound levels and can design moment & accident paths under inadequate sensing. We review the impact of our policies in a variety of ways. © 2022 IEEE.

关键词： Recurrent neural networks

来源：评论

学校读者我要写书评

暂无评论

Catalytic cracking of polyethylene terephthalate (PET) plastic waste and palm fibre mixtures using Ni-USY zeolite catalyst 6

Catalytic cracking of polyethylene terephthalate (PET) plast...

引用

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

作者： Nazarudin Jayanti, N. Alfernando, O. Prabasari, I.G. Ulyarti Sarip, R. Chemistry Engineering Study Program Faculty of Engineering Universitas Jambi Indonesia Center of Energy and Nanomaterial Study Universitas Jambi Indonesia Agricultural Product Technology Study Program Faculty of Agricultural Technology Universitas Jambi Indonesia Chemistry Department Faculty of Science University of Malaya Malaysia

This research was carried out to produce fuel (Oil Liquid Poduct/OLP) from catalytic cracking of a mixture of Polyethylene Terephthalate (PET) and fiber waste from palm oil. USY zeolite was previously ion-exchanged by three levels of Ni-metal concentration (1%, 2%, 3%) before used as catalyst in the cacking process. The catalytic cracking was carried out at rasio of sample to catalyst was 6:1, three levels of temperature (400°C, 425°C and 450°C) and three levels of reaction time (10, 20 and 30 minutes).The SEM images and EDX spectra of Ni-USY zeolite catalysts showed that all catalysts were in crystalline form of FAU framework. The highest of OLP percentage, 24.5%, was produced by catalytic cracking at 450°C for 10 minutes using Ni-USY prepared by ion-exchange using 2% concentration of Nickel Nitrate solution. © Published under licence by IOP Publishing Ltd.

关键词： Catalysts

来源：评论

学校读者我要写书评

暂无评论

Paracetamol degradation in a dual-chamber rectangular membrane bioreactor using microbial fuel cell system with a microbial consortium from sewage sludge

引用

Case Studies in Chemical and Environmental engineering 2024年 9卷

作者： Utami, Tania Surya Arbianti, Rita Hidayatullah, Ibnu Maulana Yusupandi, Fauzi Hamdan, Mukti Fadilah Putri, Najah Riyadi, Fatimah Azizah Boopathy, Ramaraj Department of Chemical Engineering Faculty of Engineering Universitas Indonesia West Java Depok 16424 Indonesia Bioprocess Engineering Study Program Faculty of Engineering Universitas Indonesia West Java Depok 16424 Indonesia Research Center for Biomass Valorization Universitas Indonesia West Java Depok 16424 Indonesia Department of Chemical Engineering Institut Teknologi Sumatera Lampung Selatan Lampung 35365 Indonesia Department of Biological Sciences Nicholls State University Thibodaux 70310 LA United States

The public widely uses Paracetamol (PCT) as an analgesic drug to reduce pain and fever symptoms in the human body. The COVID-19 pandemic has led to an increase in PCT consumption, resulting in its presence in water bodies and establishing it as a common aquatic environmental pollutant. Conventional methods for PCT removal rely on chemical treatments, which necessitate harsh reaction conditions and incur high operational costs. This study aims to investigate the potential for PCT degradation within the anode environment of the Microbial Fuel Cell (MFC) system, using a consortium of bacteria isolated from sewage sludge. The initial PCT concentration and the pH of the anode environment were varied. The results showed that PCT degradation occurred within 72 hours. The highest PCT removal rate was achieved at elevated concentrations, specifically 28.54 ± 18.84% for an initial PCT concentration of 31.45 mg/L. Furthermore, the pH levels of the anode environment were observed to influence PCT degradation, with the highest degradation rate recorded at 48.69 ± 0.86% at a pH of 8.2. In this study, the highest average power density reached was 1174.42 mW/m² with an external resistance of 1000 Ω at an initial PCT concentration of 31.45 mg/L. Microbial community analysis was conducted, revealing that Burkholderia sp. dominated the reactor containing PCT. These findings offer valuable insights for the development of more efficient technologies for the removal of PCT from pharmaceutical wastewater using natural microbial communities. © 2023 The Authors

关键词： COVID-19 Dual chamber microbial fuel cell Microbial consortium Paracetamol Pollutant degradation

来源：评论

学校读者我要写书评

暂无评论

The influence of aging time variations on the fatigue life of aluminum alloy 2024-T351

引用

AIP Conference Proceedings 2024年第1期3053卷

作者： I. Made Astika I. Ketut Suarsana Dewa Ngakan Ketut Putra Negara Study Program of Mechanical Engineering Faculty of Engineering Udayana University Badung Bali 80361 Indonesia

Aluminum and its alloys are used to make a number of automotive components. It is due to aluminum’s light weight, anti-corrosiveness, formability, and affordable price. However, numerous procedures have been carried out to boost its strength due to mechanical characteristics, one of which is artificial aging. The effects of aging on the fatigue life of aluminum 2024-T351 will be examined in this study. The technique of treating the solution involved heating it to 500 oC for an hour and then immediately cooling it to room temperature. By reheating the aluminum alloy to 180 oC and maintaining heat there for a variety of 2, 4, and 6 hours, the fake aging process was continued. The goal was to obtain various precipitation types in anticipation of an increase in the material’s fatigue life. Then, a reversed bending test was carried out with loads of 1.0, 0.9, 0.7, 0.5, and 0.4 σu. The results of the study indicated that aging time had an influence on the fatigue life of aluminum alloy 2024-T351. Fatigue life lengthens with increasing aging time. The increase in fatigue life ranges from 13.3–63.3% compared to aluminum without heat treatment.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Production of bioinsecticide from durian peel waste and Dioscorea hispida tuber extract by ultrasonic-assisted extraction

引用

AIP Conference Proceedings 2024年第1期2710卷

作者： Hasna Nisrina Sumayyah Widya Rahmanisa Fitri Tania Surya Utami Rita Arbianti Bioprocess Engineering Study Program Department of Chemical Engineering Faculty of Engineering University of Indonesia Depok 16424 Indonesia

A new armyworm (Spodoptera frugiperda) is rapidly spreading and causing damage to corn crops in Indonesia, thus prompting the need to control the pest with an effective, yet environmentally friendly pest control method, such as bioinsecticide. Natural raw materials like durian peel waste and Dioscorea hispida tuber can be processed to produce a natural bioinsecticide. To discover the optimum processing condition for bioinsecticide production, research is conducted to find the effective solvent material and concentration in ultrasonic-assisted extraction methods. Durian peel waste is extracted using ethanol 30% and methanol 70% as solvents with the ratio variation of 1:0, 0:1, 1:1, 1:2, 2:1. Meanwhile, Dioscorea hispida tubers are extracted with various ethanol concentrations as solvents (ethanol 50%, 70%, 80%, absolute, and distilled water). The result shows that the most effective solvent for durian peel waste extraction is a 2:1 ratio of ethanol and methanol, with the optimum yield of 12.58%. The result also shows that Dioscorea hispida tuber is best extracted with distilled water, yielding 34.70%. The efficacy test concludes that the best solvent variation for pest elimination is a 0:1 ratio of ethanol and methanol durian peel waste and ethanol 80% for Dioscorea hispida tuber. The LC-MS/MS test results identified that alkaloid, flavonoid, and fatty acid compounds potentially caused larvae mortality.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Information Gain applied to reduce model-building time in decision-tree-based intrusion detection system

Information Gain applied to reduce model-building time in de...

引用

Iberian Conference on Information Systems and Technologies (CISTI)

作者： Moisé s S. De Sousa Carlos Eduardo Lacerda Veiga Robson De O. Albuquerque William F. Giozza Professional Post-Graduation Program in Electrical Engineering&#x2013 PPEE&#x2013 Electrical Engineering Department Faculty of Technology University of Bras&#x00ED lia (UnB) Bras&#x00ED lia Brazil Advocacia-Geral da Uni&#x00E3 o Bras&#x00ED

Due to the large amount of sensitive data generated by websites, it is possible to understand the progress of attacks to their databases. This work proposes an intrusion detection system based on data mining and machine learning techniques to detect and mitigate the damage caused by these attacks. It adopts the Information Gain method of selecting attributes in order to reduce the model-building time without affecting the classification performance. Using the CIC-IDS 2017 dataset, this work shows how different decision tree algorithms (Random Forest and J48 Algorithm) behave even if they receive equal parameters and data. Using Information Gain to select attributes, the proposed system achieves a processing time reduction of up to 90%.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Probabilistic Power Flow Analysis Based on Low Rank Approximation and Principle Component Analysis

Probabilistic Power Flow Analysis Based on Low Rank Approxim...

引用

2020 International Conference on Power, Energy and Innovations, ICPEI 2020

作者： Laowanitwattana, Jirasak Uatrongjit, Sermsak Chiang Mai University PhD's Degree Program in Electrical Engineering Faculty of Engineering Chiang Mai Thailand Chiang Mai University Faculty of Engineering Department of Electrical Engineering Chiang Mai Thailand

ISBN: (纸本)9781728172408

Probabilistic power flow (PPF) analysis is usually applied for evaluating the effects of uncertain parameters on power system performances. This paper presents a technique to enhance the arbitrary polynomial chaos expansion (aPCE) based PPF analysis technique when applying to system with many uncertain parameters. The proposed method represents a power system response as low rank approximation (LRA). In addition, the principle component analysis (PCA) is applied to reduce the number of uncertain parameters and also de-correlate them. This combination enables the proposed method to perform PPF of the power system having large number of uncertain parameters. Based on preliminary numerical results on the modified IEEE 57-bus system, it can be noticed that the proposed modified method is able to find accurate statistical characteristics of the responses but uses less computation time compared to the MCS based PPF analysis. © 2020 IEEE.

关键词： Uncertainty analysis

来源：评论

学校读者我要写书评

暂无评论

Impact of High-k Materials and Tube Numbers on CNFET Gate’s Performances

Impact of High-k Materials and Tube Numbers on CNFET Gate’s...

引用

International Conference on Smart Systems and Inventive Technology (ICSSIT)

作者： Christofer Yalung Doldet Tantraviwat Sermsak Uatrongjit Wittawat Yamwong Philosophy Program in Nanoscience and Nanotechnology (International Program/Interdisciplinary) Chiang Mai University Chiang Mai Thailand Department of Electrical Engineering Faculty of Engineering Chiang Mai University Chiang Mai Thailand Thai Microelectronics Center (TMEC) National Electronics and Computer Technology Center (NECTEC) Chachoengsao Thailand

Carbon nanotube field effect transistor (CNFET) performance is primarily influenced by a variety of characteristics, such as nanotube diameter, operating voltage, pitch, the number of tubes, dielectric constant, and contact materials. In this study, the dielectric constant and the number of carbon nanotubes (CNTs) were emphasized to analyze the propagation delay and average power dissipation of basic logic gates. Zirconium dioxide (ZrO 2 ), hafnium oxide (HfO 2 ), and silicon dioxide (SiO 2 ) were used as dielectric materials. In this experiment, the Stanford CNFET model was utilized, and variable factors such as the number of CNTs and the dielectric constant $(K_{ox})$ accumulated on the nanotube gate's surface were diversified. The correlation coefficients of the delay, the average power, and the CNT numbers were also presented. Furthermore, the multi-objective genetic algorithm and the Rmethod were utilized to find the optimal K ox and the number of CNTs for minimizing the average dissipation power and the propagation delay of some logic gates designed with CNFET. For all the gates considered, the optimal number of CNTs is 4 while the dielectric constant is within the ranges of 19 to 24.

关键词： Silicon compounds Dielectric constant Correlation Logic gates CNTFETs Power dissipation Electron tubes

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：