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Intellectual Device for Measuring the Humidity of Bulk Materials 1

引用

12th World Conference on Intelligent systems for Industrial Automation, WCIS 2022

作者： Uljayev, E. Ubaydullayev, U.M. Narzullayev, Sh. N. Khudoyberdiyev, E.F. Tashkent State Technical University named after Islam Karimov University str. 2 Tashkent100095 Uzbekistan

ISBN: (数字)9783031515217

ISBN: (纸本)9783031515200

Nowadays, it is urgent to develop intelligent measuring devices based on capacitance transducers for measuring the humidity content of grains and grain products with high accuracy in the world. In the article, the improvement of the design of the intelligent measuring device that is capable of evaluating the error and static characteristics of the capacitance converter, as well as the expansion of the functional capabilities of the control and measurement technical means, the improvement of their technical characteristics, and the efficient use of energy resources are considered. © 2024, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Energy resources

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Analysis of Flexural Strength Tiles Made by ABS-X Material with Different Infill 1

引用

International Conference of Experimental and Numerical Investigations and New Technologies, CNNTech 2023

作者： Trajkovic, Isaak Dragicevic, Aleksandra Ilic, Uros Djurovic, Marko Mladenovic, Goran Milosevic, Milos Innovation Centre of the Faculty of Mechanical Engineering Kraljice Marije 16 Street Belgrade11120 Serbia Faculty of Mechanical Engineering University of Belgrade Kraljice Marije 16 Street Belgrade11120 Serbia

ISBN: (数字)9783031464324

ISBN: (纸本)9783031464317

This paper presents the results of bending tests of tiles made of ABS X material and analysis of mechanical characteristics. The tested tiles were made of ABS X material with a infill that has a Honeycomb sample structure, assuming that this type of infill has the highest values of modulus of elasticity and mechanical properties. The ABS X material performed very satisfactorily, with less cracking, excellent adhesion to the layer and improved mechanical properties. As the main advantage of a three-point bend test is its simplicity, the method used in testing tiles is precisely the three-point bend test. The orientation of the 3D printing while making the tiles was vertical, and the tile infills were made with a density of 50 and 100%. When analyzing the obtained results of the mechanical properties of the tiles, special attention was paid to the influence of the infill density on the mechanical properties. The results and analyzes obtained in this work can be used in practice and in further research, with the tendency to examine and compare as many materials as possible, with different structures and infill densities. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： Honeycomb structures

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Tire Imprint Identification and Classification using VGG19 1

引用

5th International Conference on Computer and Communication Technologies, IC3T 2023

作者： Girish, Disha N. Priyanka, M. Department of Computer Science School of Computing Amrita Vishwa Vidyapeetham Mysore India

ISBN: (数字)9789819997046

ISBN: (纸本)9789819997039

In the fields of forensic research, the automobile industry, and consumer safety, classifying tire imprints is a crucial task. It involves identifying the brand or producer of a tire based on the imprints left on various surfaces. Tire impressions can be valuable evidence in criminal investigations, counterfeit identification, product quality control, and accident reconstruction. Here, we propose a deep learning approach using the VGG19 architecture for tire impression identification and classification. To begin, we collected tire impressions from various two- and four-wheeler MRF tire brands. Our dataset consists of 2693 photos divided into 22 classes, with 15 classes representing 2-wheelers and 7 classes representing 4-wheelers. We processed the images through denoising, normalization, and enhancement steps. We then employed a mask-based segmentation method to extract texture-based information from the tire impressions. This, combined with morphological data, resulted in a comprehensive set of features used in pattern recognition. These features include statistical measurements such as mean, entropy, correlation, contrast, and others. To accurately determine the tire brand, we utilized the Structural Similarity Index Matrix (SSIM) with a minimum similarity index value of 0.7. By comparing the SSIM values, we were able to match the tire impressions to the correct brand. We divided the dataset into 80% training data and 20% test data, which provided the best performance for our proposed technique. The accuracy achieved using this approach was 95.3%. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Automotive industry

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Analysis of Pollard Rho Attacks Over ECDLP 1

引用

1st International Conference on Machine Intelligence for Research and Innovations, MAiTRI 2023

作者： Jindal, Aayush Kumar, Sanjay Jatain, Aman Amity University Haryana Gurugram India SAG DRDO Ministry of Defense Delhi India

ISBN: (数字)9789819981298

ISBN: (纸本)9789819981281

Elliptic Curve Cryptography (ECC) is a popular kind of public key encryption technique that offers a significant advantage over cryptographic systems like RSA. ECC has attracted a lot of interest lately as it offers higher security with reduced key sizes. Security of ECC is based on a hard problem known as Elliptic Curve Discrete Logarithm Problem (ECDLP). Computation of private scalar integer from public key is computationally difficult. Solving ECDLP using Pollard rho method provides higher efficiency than baby-step giant-step and index calculus methods. Performance of Pollard rho method depends on the cycle detection techniques and iteration function used in sequential approach. In this study, survey of several proposed variants of Pollard rho method in sequential and paralleled architectures is presented. Analysis of Pollard method in sequential architecture for different cycle detection techniques and iteration function is discussed. Experimental analysis of the Floyd and Brent cycle over different prime curves is presented. Further, proposed techniques for paralleled Pollard method using distinguished point property are discussed using CPU, Graphics Processing Unit (GPU), and Field-Programmable Gate Array (FPGA) clusters for prime and binary curves. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Graphics processing unit

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Automated Titration of SO2 in the Winery Environment: Conceptual Design and Proof of Concept 1

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32nd International Conference on Organization and Technology of Maintenance, OTO 2023

作者： Keser, Tomislav Miling, Robert Miličević, Davorin Blažević, Damir Faculty of Electrical Engineering Computer Science and Information Technology Osijek University of Osijek Kneza Trpimira 2b Osijek31000 Croatia

ISBN: (数字)9783031514944

ISBN: (纸本)9783031514937

The wine production industry competes every day for better product quality, same time lowering production costs. As product quality strongly relies on winemaker expertise and quality of raw materials, lower production costs are tightly related to the automation level of whole production process. One of parameter that significantly influences on the wine quality is sulphur-oxide based compound in its free form which is measurable using process so called titration of SO (sulphur oxide titration). Currently the state of titration measurement automation highly correlates to the scale of production and only the biggest winemakers have some sort of automated titration devices. Such devices are not suitable for small or medium winemakers due their high costs, either of purchase of measurement services. This paper proposes, make conceptual development and evaluate functionality for an automated titration device for SO compounds in winemaking industry which is suitable for small and medium winemakers and does not break their banks. The concept elaborates and deduce setup for distributed wine supplying, conditioning of the measurement device and metrology of the measurement. © 2024, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Titration

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EEG-Based Drivers Drowsiness Prediction Using Personalized Features Extraction and Classification Methods Under Python 1

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International Conference on Intelligent systems and Smart Technologies, I2ST 2023

作者： Elidrissi, Mouad Elmouzoun Essoukaki, Elmaati Taleb, Lhoucine Ben Mouhsen, Azeddine En-naoui, Ilias Harmouchi, Mohammed Laboratory of Radiation-Matter and Instrumentation Faculty of Science and Techniques Hassan First University of Settat Settat Morocco Higher Institute of Health Sciences Hassan First University of Settat Settat Morocco

ISBN: (数字)9783031476723

ISBN: (纸本)9783031476716

During the last century, most of researchers tend to develop alternative solutions to variant fields’ problems using artificial intelligence and machine learning techniques, leading to an important AI revolution. Applying these techniques in healthcare was a big win, namely the importance of predicting the occurrence of seizures at a prompt time or detecting pathologies as earlier as possible. Moreover, the early detection of drowsiness state for drivers became a serious subject of interest, due to the important turnout for driving in addition to the increasing of cars accidents. So, increasing road safety was an obligation. Our paper therefore, presents several methods of detecting drivers’ drowsiness using personalized features extraction and machine learning algorithms applied to a single channel of electroencephalogram signals under Python. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： Python

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University Selection by Using Z-TOPSIS Methodology 1

引用

12th World Conference on Intelligent systems for Industrial Automation, WCIS 2022

作者： Gardashova, Latafat A. Azerbaijan State Oil and Industry University Azadliq 35 Nasimi Baku Azerbaijan

ISBN: (数字)9783031515217

ISBN: (纸本)9783031515200

University selection based on MCDM methods has gained importance in recent years. Scientists have developed different selection methods based on probability theory and fuzzy theory, but these theories can’t describe the reliability of information. This paper’s aim is to choose a suitable university from the set of universities using the Z number theory based TOPSIS method. For this purpose, formulated Z number based multi attribute decision making problem. Evaluation imprecision which is described by Z-number. This study can help to provide some strategies for higher education institutions to increase student enrollment and at the same time improve academic quality and institutional management. All the calculations are performed by using a Z-number software tool-Z-lab. The obtained results show the applicability and validity of the proposed approach. © 2024, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Number theory

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Using Convolutional Neural networks for TEC Prediction Accuracy Improvement 1

引用

7th Computational Methods in systems and Software, CoMeSySo 2023

作者： Kharakhashyan, Artem Maltseva, Olga Institute for Physics Southern Federal University Rostov-on-Don344090 Russia

ISBN: (数字)9783031548130

ISBN: (纸本)9783031548123

A large number of publications point to the great practical importance of predicting such an ionospheric parameter as the total electron content. At the same time, the accuracy of the forecast depends on the combination of methods used, the region and space weather conditions. Solving the problem of forecasting in dynamic conditions leads to the formation of advanced approaches to forecasting based on neural networks. The authors previously presented a paper at the 12th Computer Science Online Conference 2023 in which they developed and tested 8 architectures using the example of two Russian GPS receiver chains along the meridian 30° E and latitude ~70° N in 2015. The most widely used GIM IGS maps with a resolution of 2 h were taken as TEC data. The models used included the traditional neutral networks LSTM and GRU with proposed modifications to the RFF and FRF layer structure, and the focus was on complementing these models with bidirectional architectures. In this paper, models based on convolutional neural networks are added to the previously proposed models, and the calculations are carried out on an extended set of solar and geomagnetic activity indices, using the data for 2015, 2020 and 2022. The semi-annual statistics for the forecast accuracy with 2 h lead time showed a decrease in all error characteristics MAE, MAPE, RMSE by approximately 1.5–2 times for bidirectional architectures. It is shown that BiTCN architecture provided the highest prediction accuracy for all stations: MAE was less than 0.2–0.3 TECU, MAPE was less than 3% in 2015 and 2022, and it was less than 5.5% in 2020, RMSE was less than 0.3–0.5 TECU. The fact that the difference in accuracy in the considered ranges of latitude and longitude is negligible for this architecture is of interest. #COMESYSO1120. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： Convolution

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Testing the Quality of CNC Plasma Thermal Cutting in Accordance with the HRN EN 1090-2 Standard for the Production of Steel Structures 1

引用

32nd International Conference on Organization and Technology of Maintenance, OTO 2023

作者： Duspara, Miroslav Dunđer, Ivan Stoić, Marija Cumin, Josip Stoić, Antun Mechanical Engineering Faculty in Slavonski Brod Slavonski Brod Croatia

ISBN: (数字)9783031514944

ISBN: (纸本)9783031514937

The paper briefly explains the development of the EN 1090 standard through the theoretical part where the general data of the standard is presented, and in the practical part one of the requirements of the standard is analyzed where its application to thermal cutting of steel sheets is shown. It is necessary to provide a standard in which the basic characteristics of the semi-finished product (microstructure of the material) are changed only up to the permitted limits, because changes greater than the permitted greatly affect the behavior of the components during the next steps in the production process. © 2024, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： hardness of the cutting surface perpendicularity Plasma cutting roughness Standard EN 1090-2

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Deep Q-Learning for Virtual Autonomous Automobile 1

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International Conference on Data Analytics and Management, ICDAM 2023

作者： Pant, Piyush Sinha, Rajendra Rajawat, Anand Singh Goyal, S.B. Lasi, Masri bin Abdul Sandip University Nashik India City University Petaling Jaya46100 Malaysia

ISBN: (数字)9789819965441

ISBN: (纸本)9789819965434

The Deep Q-Learning is a reinforcement learning algorithm that is proposed by the research for developing autonomous automobiles. The research used the advanced and latest technologies and libraries to develop a virtual automobile that is autonomous. The proposed model is implemented using neural networks, which take the state "S" as input vector x and forecast the following potential action "a" that, according to the state-action value function, will be the most profitable. In the virtual environment developed by the research, the automobile, which is the agent, moves randomly and takes random actions continuously. These are stored and used to train the neural network in the ratio of dataset 60–20–20%. After random state travel and training, the agent is able to learn on its own to drive. This is achieved by rewarding the agent by +a for a correct or expected action and penalizing the agent by −p for a wrong or unexpected action. By doing so, the agent is able to drive in the lane and avoid the obstacles. The research is fully software-based and virtual, thus no requirement of hardware except for a computer. The research also studies reinforcement learning and the DQN algorithm to enhance the learning of the readers in the domain of AI. © 2024, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Reinforcement learning

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