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Journal articles on the topic 'Contradiction detection'

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1

Sepúlveda-Torres, Robiert, Alba Bonet-Jover, and Estela Saquete. "“Here Are the Rules: Ignore All Rules”: Automatic Contradiction Detection in Spanish." Applied Sciences 11, no. 7 (2021): 3060. http://dx.doi.org/10.3390/app11073060.

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This paper tackles automatic detection of contradictions in Spanish within the news domain. Two pieces of information are classified as compatible, contradictory, or unrelated information. To deal with the task, the ES-Contradiction dataset was created. This dataset contains a balanced number of each of the three types of information. The novelty of the research is the fine-grained annotation of the different types of contradictions in the dataset. Presently, four different types of contradictions are covered in the contradiction examples: negation, antonyms, numerical, and structural. However
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Li, Luyang, Bing Qin, and Ting Liu. "Contradiction Detection with Contradiction-Specific Word Embedding." Algorithms 10, no. 2 (2017): 59. http://dx.doi.org/10.3390/a10020059.

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3

Gärtner, Alexander Elenga, and Dietmar Göhlich. "Towards an automatic contradiction detection in requirements engineering." Proceedings of the Design Society 4 (May 2024): 2049–58. http://dx.doi.org/10.1017/pds.2024.207.

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AbstractThis paper presents a novel method for automatic contradiction detection in requirements engineering using a hybrid approach combining formal logic with Large Language Models (LLMs), specifically GPT-3. Our three-phase process detects contradictions by identifying conditionals and pseudo-grammatical elements, and employing LLMs for nuanced contradiction detection. Tested extensively, including on a real-world electric bus project, our method achieved 99% accuracy and 60% recall. This approach significantly reduces manual effort, enhances quality, and is scalable for future advancements
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Rahimi, Zeinab, and Mehrnoush Shamsfard. "A Neuro Symbolic Approach for Contradiction Detection in Persian Text." JUCS - Journal of Universal Computer Science 29, no. 3 (2023): 242–64. http://dx.doi.org/10.3897/jucs.90646.

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Detection of semantic contradictory sentences is a challenging and fundamental issue for some NLP applications, such as textual entailments recognition. In this study, contradiction means different types of semantic confrontation, such as negation, antonymy, and numerical. Due to the lack of sufficient data to apply precise machine learning and, specifically, deep learning methods to Persian and other low-resource languages, rule-based approaches are of great interest. Also, recently, the emergence of new methods such as transfer learning has opened up the possibility of deep learning for low-
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Rahimi, Zeinab, and Mehrnoush Shamsfard. "A Neuro Symbolic Approach for Contradiction Detection in Persian Text." JUCS - Journal of Universal Computer Science 29, no. (3) (2023): 242–64. https://doi.org/10.3897/jucs.90646.

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Detection of semantic contradictory sentences is a challenging and fundamental issue for some NLP applications, such as textual entailments recognition. In this study, contradiction means different types of semantic confrontation, such as negation, antonymy, and numerical. Due to the lack of sufficient data to apply precise machine learning and, specifically, deep learning methods to Persian and other low-resource languages, rule-based approaches are of great interest. Also, recently, the emergence of new methods such as transfer learning has opened up the possibility of deep learning for low-
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6

Gärtner, Alexander Elenga, Dietmar Göhlich, and Tu-Anh Fay. "AUTOMATED CONDITION DETECTION IN REQUIREMENTS ENGINEERING." Proceedings of the Design Society 3 (June 19, 2023): 707–16. http://dx.doi.org/10.1017/pds.2023.71.

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AbstractIn product development, it is of great importance that a complete, unambiguous, and, as far as possible, contradiction-free target system is defined. Requirements documents of complex systems can contain several thousand individual requirements, derived in an interdisciplinary manner and written in natural language by many different stakeholders. Hence, errors, in the form of contradictions, cannot be completely avoided in these documents and today they must be corrected manually with high effort.This paper presents an important building block for automated contradiction detection and
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Gärtner, Alexander Elenga, Tu-Anh Fay, and Dietmar Göhlich. "Fundamental Research on Detecting Contradictions in Requirements: Taxonomy and Semi-Automated Approach." Applied Sciences 12, no. 15 (2022): 7628. http://dx.doi.org/10.3390/app12157628.

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Requirements documents can contain several thousand individual requirements. They must be error-free to avoid unnecessary complications and costs in the later product development stages. An important part of this is to identify contradictions between two requirements. The first step is therefore to define what contradictions are and in what form they can occur in requirement documents. In this paper the scientific theories regarding contradictions are discussed, concerning to their usefulness for the topic. In doing so, the Aristotelian Logic proved to provide the best basis for an application
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8

Huang, Shen Gui, Nian Duan, Xiu Yu Chen, and Xi Peng Xu. "Application of Image Mosaic Method in the Detection of Grinding Wheel Topography." Advanced Materials Research 500 (April 2012): 302–7. http://dx.doi.org/10.4028/www.scientific.net/amr.500.302.

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The topography of a grinding wheel can be obtained quickly and exactly through applying the computer vision method to detect the wheel topography. However, the application of computer vision in detecting wheel topography is restricted due to the contradiction between vision field and resolution while using traditional computer vision detecting method. In the present paper, the 3D topography of a diamond grinding wheel was reconstructed by combining image mosaic technique, corner detection algorithm, image matching algorithm and image fusion algorithm. The image mosaic technique was found to be
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Qu, Kai, Guhao Zhao, Yarong Wu, and Liang Tong. "Research on Airspace Conflict Detection Method Based on Spherical Discrete Grid Representation." Applied Sciences 13, no. 11 (2023): 6493. http://dx.doi.org/10.3390/app13116493.

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With the continuous development of general aviation, the contradiction between the air demand of general aviation low-altitude airspace and civil aviation routes is sharp. The difficulty of airspace planning is complex and changeable, and the existing working mode of simply using computer mapping and manually finding airspace conflict contradictions can no longer meet the large-scale air use demand. In response to the existing spatial representation model of longitude and latitude grid, which has large grid deformation in high latitude areas, and the problem of slow computation speed of the co
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10

Yeh, Chi Hao, Cheng Yu Hsieh, and Ful Chiang Wu. "The Synergy of TRIZ and Automatic Optical Inspection (AOI) for Detecting Surface Defects on Small Metal Parts." Advanced Materials Research 838-841 (November 2013): 2030–33. http://dx.doi.org/10.4028/www.scientific.net/amr.838-841.2030.

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The aim of this paper is to show how to apply TRIZ to resolve difficulties and conflicts in Automatic Optical Inspection (AOI) for detecting surface defects on small metal parts and saving effort-spent (energy saving). TRIZ has been well-known as a creative and innovative thinking theory in solving engineering and technology contradictions in the last two decades. However, few studies and practical usage were proposed in AOI area. Conflicts occurring in AOI are discussed to demonstrate the ideas guided by 39 TRIZ management parameters, 40 innovative principles, and contradiction matrix. The re
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11

Patanavijit, Vorapoj, and Kornkamol Thakulsukanant. "The novel noise classification techniques found on quadruple threshold statistical detection filter under fix intensity impulse outlier environment." Bulletin of Electrical Engineering and Informatics 10, no. 5 (2021): 2520–29. http://dx.doi.org/10.11591/eei.v10i5.3105.

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Because of the enormous necessity of contemporary noise suppressing algorithms, this article proposes the novel noise classification technique found on QTSD filter improved from the TTSD filter. The four thresholds for each auxiliary situations are incorporated into the proposed QTSD framework for dealing with the limitation of the earlier noise classification technique. The mathematical pattern is modeled by each photograph elements and is investigated in contradiction to the 1st threshold for analyzing whether it is non-noise or noise photograph elements. Subsequently, the calculated photogr
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12

Munesh, Chandra Trivedi, Kumar Yadav Virendra, and Kumar Gupta Avadhesh. "A Proposed DDS Enabled Model for Data Warehouses with Real Time Updates." International Journal of Informatics and Communication Technology (IJ-ICT) 7, no. 1 (2018): 31–38. https://doi.org/10.11591/ijict.v7i1.pp31-38.

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Data warehouse generally contains both types of data i.e. historical & current data from various data sources. Data warehouse in world of computing can be defined as system created for analysis and reporting of these both types of data. These analysis report is then used by an organization to make decisions which helps them in their growth. Construction of data warehouse appears to be simple, collection of data from data sources into one place (after extraction, transform and loading). But construction involves several issues such as inconsistent data, logic conflicts, user acceptance, cos
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Wu, Han, Jiahao Nie, Zhiwei He, Ziming Zhu, and Mingyu Gao. "One-Shot Multiple Object Tracking in UAV Videos Using Task-Specific Fine-Grained Features." Remote Sensing 14, no. 16 (2022): 3853. http://dx.doi.org/10.3390/rs14163853.

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Multiple object tracking (MOT) in unmanned aerial vehicle (UAV) videos is a fundamental task and can be applied in many fields. MOT consists of two critical procedures, i.e., object detection and re-identification (ReID). One-shot MOT, which incorporates detection and ReID in a unified network, has gained attention due to its fast inference speed. It significantly reduces the computational overhead by making two subtasks share features. However, most existing one-shot trackers struggle to achieve robust tracking in UAV videos. We observe that the essential difference between detection and ReID
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Deore, Bhushan, Aditya Kyatham, and Shubham Narkhede. "A novel approach to ensemble MLP and random forest for network security." ITM Web of Conferences 32 (2020): 03003. http://dx.doi.org/10.1051/itmconf/20203203003.

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The following paper provides a novel approach for Network Intrusion Detection System using Machine Learning and Deep Learning. This approach uses two MLP (Multi-Layer Perceptron) models one having 3 layers and other having 6 layers. Random Forest is also used for classification. These models are ensembled in such a way that the final accuracy is boosted and also the testing time is reduced. Researchers have implemented various ways for the ensemble of multiple models but we are using contradiction management concept to ensemble machine learning models. Contradiction Management concept means if
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15

Nuradilah Azman, Siti, Iskandar Ishak, Nurfadhlina Mohd Sharef, and Fatimah Sidi. "Towards an Enhanced Aspect-based Contradiction Detection Approach for Online Review Content." Journal of Physics: Conference Series 892 (September 2017): 012006. http://dx.doi.org/10.1088/1742-6596/892/1/012006.

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16

Husak, Olena, and Volodymyr Husak. "Improvement of forest fire monitoring system by expanding information and technological possibilities of modern quadcopters." System research and information technologies, no. 3 (September 30, 2021): 33–46. http://dx.doi.org/10.20535/srit.2308-8893.2021.3.03.

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The article proposes a solution to an important problem — the development of an information technology based on expanding the functionality of non-specialized unmanned aerial vehicles (drones) for early detection of forest fires. The proposed information technology is designed to increase the effectiveness of monitoring forest fires. Тhe existing level of information technology does not fully settle the issue of reliable fire protection of forests. Today, there is a contradiction between the high cost of developing high-tech fire-fighting equipment and lack of its efficiency. The elimination o
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17

Buinevich, M., P. Zhukovskaya, K. Izrailov, and V. Pokussov. "Application of Machine Training to Search Vulnerabilities in the Software Code." Telecom IT 7, no. 4 (2019): 59–65. http://dx.doi.org/10.31854/2307-1303-2019-7-4-59-65.

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The article considers the possibility of using artificial intelligence in the field of information security. For this, the following domain contradiction was highlighted: sharpening of detection algorithms for specific vulnerabilities in VS code, constant modification of the vulnerability code. To resolve the contradiction, an object is considered – software with vulnerabilities in the process of its development, for the subject – ways of intellectual analysis of its characteristics. A hypothetical solution is proposed through the use of Machine Learning Technology to identify vulnerabilities
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18

Zhu, Cui-lan, Jin-da Liu, and Fang Wang. "High-Sensitivity SPR Sensor Based on the Theory of the Solution of Inventive Problems." Photonics 11, no. 9 (2024): 836. http://dx.doi.org/10.3390/photonics11090836.

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Fiber SPR biosensors have low sensitivity and accuracy in detecting biomolecules. In this study, the TRIZ is applied to molecules and optimization. By defining the prototype system, clarifying the components and interacting objects, and adopting a functional model analysis and causal analysis, we deeply explored the key points and root causes of leakage and used a variety of tools, such as technological contradiction, object-field analysis, the HOW-TO model and knowledge effect library, physical contradiction, and the villain method, to come up with different solutions. A novel multimode–singl
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19

Ting-Na Liu, Ting-Na Liu, Zhong-Jie Zhu Ting-Na Liu, Yong-Qiang Bai Zhong-Jie Zhu, Guang-Long Liao Yong-Qiang Bai, and Yin-Xue Chen Guang-Long Liao. "YOLO-Based Efficient Vehicle Object Detection." 電腦學刊 33, no. 4 (2022): 069–79. http://dx.doi.org/10.53106/199115992022083304006.

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<p>Vehicle detection is one of the key techniques of intelligent transportation system with high requirements for accuracy and real-time. However, the existing algorithms suffer from the contradiction between detec-tion speed and detection accuracy, and weak generalization ability. To address these issues, an improved vehicle detection algorithm is presented based on the You Only Look Once (YOLO). On the one hand, an efficient feature extraction network is restructured to speed up the feature transfer of the object, and re-use the feature information extracted from the input image. On th
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20

Palanisamy, R. "Finite Element Modeling of Remote-Field Eddy Current Problems for the Nondestructive Testing of Metal Tube." Journal of Offshore Mechanics and Arctic Engineering 111, no. 2 (1989): 101–8. http://dx.doi.org/10.1115/1.3257082.

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The remote-field eddy current effect refers to a low frequency eddy current nondestructive testing (NDT) phenomenon in tubular conductors (magnetic or nonmagnetic) in which the behavior of both amplitude and phase of induced magnetic field are in apparent contradiction to the conventional eddy current theory. Equal detection sensitivity across the wall thickness, linear relationship between the output signal phase-lag and the wall thickness, and absence of the lift-off problem are some of the attractive and contradicting features of this technique. Despite its early recognition and useful appl
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21

Kumar, Ghanendra, and Chakres Kumar. "Effect of NAVA for Dense Optical Communication System." Science & Technology Journal 7, no. 1 (2019): 78–81. http://dx.doi.org/10.22232/stj.2019.07.01.10.

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Viterbi Algorithm (VA) is basically an algorithm that is implemented for the detection & estimation of a sequence of symbols in digital communication and signal processing. It calculates a survivor path with minimum metric value, but cannot detect any error. The VA is scrutinized to upgrade the transmission process and provide the plate form in terms of the existence, linear phase noise as well as non-linear phase noise. In contradiction to non-adaptive MLSD (Maximum Likelihood Sequence Detection), the Viterbi algorithm renders the exemplary performance.
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22

Jin, Jie, and Su Rong Huang. "High Quality Velocity Detection of Incremental Encoder for Servo Drive." Advanced Materials Research 1039 (October 2014): 320–27. http://dx.doi.org/10.4028/www.scientific.net/amr.1039.320.

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Considering the contradiction of detection speed and detection accuracy of incremental encoder, a novel digital velocity detection N/S algorithm is proposed in this paper. The algorithm of velocity detection mainly consists of two parts: the pulse sliding counting and velocity synchronous updating. In order to reduce the pulse-detection time delay, the pulse-sliding-counting method is used to count the encoder pulses during the sampling period, and the pulse-pattern sequences are obtained sequentially. In order to improve the accuracy of velocity detection, synchronization of velocity updating
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23

Gütl, Christian. "Editorial." JUCS - Journal of Universal Computer Science 29, no. 3 (2023): 201–2. http://dx.doi.org/10.3897/jucs.103612.

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Dear Readers,  It gives me great pleasure to announce the third regular issue of 2023. In this issue, 4 papers by 11 authors from 5 countries cover various topical aspects of computer science. In an ongoing effort to further strengthen our journal, I would like to expand the editorial board: If you are a tenured associate professor or above with a strong publication record, you are welcome to apply to join our editorial board. We are also interested in high-quality proposals for special issues on new topics and trends.  As always, I would like to thank all the authors for the
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Gütl, Christian. "Editorial." JUCS - Journal of Universal Computer Science 29, no. (3) (2023): 201–2. https://doi.org/10.3897/jucs.103612.

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Dear Readers, It gives me great pleasure to announce the third regular issue of 2023. In this issue, 4 papers by 11 authors from 5 countries cover various topical aspects of computer science. In an ongoing effort to further strengthen our journal, I would like to expand the editorial board: If you are a tenured associate professor or above with a strong publication record, you are welcome to apply to join our editorial board. We are also interested in high-quality proposals for special issues on new topics and trends. As always, I would like to thank all the authors for their sound research an
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25

Song, Yang, Xuzhou Zhang, and Yun-Zhan Gong. "Infeasible Path Detection Based on Code Pattern and Backward Symbolic Execution." Mathematical Problems in Engineering 2020 (May 25, 2020): 1–12. http://dx.doi.org/10.1155/2020/4258291.

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This paper sets out to reveal the relationship between code pattern and infeasible paths and gives advices to the selection of infeasible path detection techniques. Lots of program paths are proved to be infeasible, which leads to imprecision and low efficiency of program analysis. Detection of infeasible paths is required in many areas of software engineering including test coverage analysis, test case generation, and security vulnerability analysis. The immediate cause of path infeasibility is the contradiction of path constraints, whose distribution will affect the performance of different
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Pencer, Jeremy, Vinicius N. P. Anghel, Norbert Kučerka, and John Katsaras. "Scattering from laterally heterogeneous vesicles. III. Reconciling past and present work." Journal of Applied Crystallography 40, no. 4 (2007): 771–72. http://dx.doi.org/10.1107/s0021889807024624.

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A recent series of papers have devised and successfully used a methodology for the detection and characterization of domains in laterally heterogeneous vesiclesviasmall-angle neutron scattering. This methodology is in seeming contradiction to similar work devised by Knoll, Haas, Stuhrmann, Füldner, Vogel & Sackmann [J. Appl. Cryst.(1981),14, 191–202]. The present paper shows how these results may be reconciled.
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Zhang, Jun Min. "Harmonic Detection Based on Improved Adaptive Method and its Performance." Advanced Materials Research 291-294 (July 2011): 2620–23. http://dx.doi.org/10.4028/www.scientific.net/amr.291-294.2620.

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In this paper, according to the base-adaptive detecting method of harmonic current for APF, there had contradiction between detecting accuracy and dynamic response. It had been proved that this system is a symmetrical notch-filter. Based on analysis above, this paper is proposed improved-adaptive detecting method. A low-pass filter has been in base-adaptive system. We first discussed the stability of improved system. Then theoretical analysis and simulation test shows the bandwidth had been reduced nearby reference frequency. Simulation had showed that the dynamic performance was in a period a
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Li, Fen Lan, Zhuo Tao Peng, and Zhe Min Zhuang. "Object Detection Algorithm in Traffic Video Surveillance Based on Compressed Sensing." Applied Mechanics and Materials 333-335 (July 2013): 817–21. http://dx.doi.org/10.4028/www.scientific.net/amm.333-335.817.

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To adapt the contradiction between the increasing information quantity of highway traffic network monitoring and the limited network bandwidth resources, this paper proposes an object detection algorithm based on Bayesian compressed sensing. Video are sparse in a wavelet base, and a partial Hadamard measurement matrix is adopted to compress the video. The object detection method combines background difference and Bayesian compressed sensing of wavelet tree structure. To get more accurate foreground, an adaptive background model is proposed. Experiments results show the accuracy and effectivene
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29

Hao, Huijuan, Huimiao Yuan, Yongwei Tang, Yu Zhang, Yuanyuan Zhao, and Qingxuan Wei. "Fault Early Warning Based on Improved Deep Neural Network of Auto-Encoder." Security and Communication Networks 2022 (September 9, 2022): 1–9. http://dx.doi.org/10.1155/2022/5767642.

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In order to realize rapid fault detection and early warning, a fault detection method based on normal operation data is proposed. Firstly, the fault detection model is constructed based on the improved deep neural network of the auto-encoder. Secondly, the unsupervised pretraining and supervised fine-tuning of the network are finished through the operation data in a normal state to solve the contradiction between the small fault sample and the large training sample required by the deep network model. The adaptive threshold of reconstruction error is used as the evaluation index of the fault st
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30

Asif, Muhammad, Talha Ahmed Khan, and Wang-Cheol Song. "Evaluating Large Language Models for Optimized Intent Translation and Contradiction Detection Using KNN in IBN." IEEE Access 13 (2025): 20316–27. https://doi.org/10.1109/access.2025.3534880.

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31

Qian, Wen, Xue Yang, Silong Peng, Junchi Yan, and Yue Guo. "Learning Modulated Loss for Rotated Object Detection." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 3 (2021): 2458–66. http://dx.doi.org/10.1609/aaai.v35i3.16347.

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Popular rotated detection methods usually use five parameters (coordinates of the central point, width, height, and rotation angle) or eight parameters (coordinates of four vertices) to describe the rotated bounding box and l1 loss as the loss function. In this paper, we argue that the aforementioned integration can cause training instability and performance degeneration. The main reason is the discontinuity of loss which is caused by the contradiction between the definition of the rotated bounding box and the loss function. We refer to the above issues as rotation sensitivity error (RSE) and
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32

Fang, Liang, Hui Zhang, Xin Cheng, et al. "Detection Capability Analysis of Field of View-Gated Optical Imaging System for All-Time Star Sensor." Photonics 11, no. 12 (2024): 1118. http://dx.doi.org/10.3390/photonics11121118.

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The field of view (FOV)-gated optical imaging system can relieve the contradiction between a wide FOV and the effective suppression of sky background radiation, making it particularly suitable for all-time star sensors. The detection capability of this novel optical imaging system during daytime differs significantly from that of traditional optical systems. This paper presents the principle of suppressing sky background radiation through FOV-gated imaging. Subsequently, the detection capabilities, including detectable limiting stellar magnitude and the probability of detecting at least three
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Souza, Jackson Wilke da Cruz, and Ariani Di Felippo. "Evaluating a typology of signals for automatic detection of complementarity." Domínios de Lingu@gem 16, no. 4 (2022): 1517–43. http://dx.doi.org/10.14393/dl52-v16n4a2022-10.

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In a cluster of news texts on the same event, two sentences from different documents might express different multi-document phenomena (redundancy, complementarity, and contradiction). Cross-Document Structure Theory (CST) provides labels to explicitly represent these phenomena. The automatic identification of the multi-document phenomena and their correspondent CST relations is definitely handy for Automatic Multi-Document Summarization since it helps computers understand text meaning. In this paper, we evaluated a typology of (textual) signals for the automatic detection of the CST relations
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Wang, Lei, Sun Pan, Sun Jun, Liang Yan, Xie Hai Lang, and Xiong Sheng. "An Improved Specific Harmonic Detection Method Based on Adaptive Cancellation Principle." E3S Web of Conferences 256 (2021): 02043. http://dx.doi.org/10.1051/e3sconf/202125602043.

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When the active power filter (APF) and the tunable filter are used for specific harmonic suppression, the accurate single harmonic current detection module is one of the key links to ensure its harmonic suppression effect. An improved single harmonic detection method based on the principle of adaptive cancellation has been proposed, which does not have some of the problems of traditional algorithms, for instance the feedback error is not accurate enough, and the contradiction between tracking speed and steady-state accuracy. This method can accurately and quickly detect the harmonic amplitude
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Zhang, Yajing, Kai Wang, and Jinghui Zhang. "Adaptive and Lightweight Abnormal Node Detection via Biological Immune Game in Mobile Multimedia Networks." Algorithms 14, no. 12 (2021): 368. http://dx.doi.org/10.3390/a14120368.

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Considering the contradiction between limited node resources and high detection costs in mobile multimedia networks, an adaptive and lightweight abnormal node detection algorithm based on artificial immunity and game theory is proposed in order to balance the trade-off between network security and detection overhead. The algorithm can adapt to the highly dynamic mobile multimedia networking environment with a large number of heterogeneous nodes and multi-source big data. Specifically, the heterogeneous problem of nodes is solved based on the non-specificity of an immune algorithm. A niche stra
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Mario, Mauricio Conceição, Dorotéa Vilanova Garcia, João Inácio da Silva Filho, Landulfo Silveira Júnior, and Heraldo Silveira Barbuy. "Characterization and classification of numerical data patterns using Annotated Paraconsistent Logic and the effect of contradiction." Research, Society and Development 10, no. 13 (2021): e283101320830. http://dx.doi.org/10.33448/rsd-v10i13.20830.

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This work describes the development of a computational mathematical model that uses Annotated Paraconsistent Logic - APL and a concept derived from it, the effect of contradiction, to identify patterns in numerical data for pattern classification purposes. The APL admits paraconsistent and paracomplete logical principles, which allow the manipulation of inconsistent and contradictory data, and its use allowed the identification and quantization of the attribute related to the contradiction. To validate the model, series of Raman spectroscopies obtained after exposure of proteins, lipids and nu
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Möckel, Martin, and Peter B. Luppa. "Why hemolysis detection should be an integral part of any near-patient blood gas analysis." Journal of Laboratory Medicine 45, no. 4-5 (2021): 193–95. http://dx.doi.org/10.1515/labmed-2021-0076.

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Abstract Blood gas analysis at or near the patient’s bedside is a common practice in acute medicine and plays a crucial role in the diagnosis and management of patient’s respiratory status, metabolites, electrolytes, co-oximetry and acid–base balance. Pre-analytical quality aspects of the specimens are getting more and more attention, including the presence of potential interferences. Central laboratories have implemented technologies to detect interferences such as hemolysis, lipidemia or hyperbilirubinemia in blood samples to ensure the highest possible quality in results provided to routine
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Möckel, Martin, and Peter B. Luppa. "Why hemolysis detection should be an integral part of any near-patient blood gas analysis." Journal of Laboratory Medicine 45, no. 4-5 (2021): 193–95. http://dx.doi.org/10.1515/labmed-2021-0076.

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Abstract Blood gas analysis at or near the patient’s bedside is a common practice in acute medicine and plays a crucial role in the diagnosis and management of patient’s respiratory status, metabolites, electrolytes, co-oximetry and acid–base balance. Pre-analytical quality aspects of the specimens are getting more and more attention, including the presence of potential interferences. Central laboratories have implemented technologies to detect interferences such as hemolysis, lipidemia or hyperbilirubinemia in blood samples to ensure the highest possible quality in results provided to routine
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39

Vu, Minh Guang, Wei Han, Da Zhi Wang, and Yun Lu Li. "An Improved Harmonic Current Detection Method Based on Variable Forgetting Factor RLS Algorithm." Applied Mechanics and Materials 291-294 (February 2013): 2459–63. http://dx.doi.org/10.4028/www.scientific.net/amm.291-294.2459.

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The effects of compensating and restraining the power system harmonics using active power filter are determined by the detection precision and its dynamic response characters. To improve both of them, a harmonic current detection algorithm based on variable forgetting factor Recursive Least-Squares algorithm is presented. The occurrence of the dynamic process is identified firstly by the judgment condition which is given by the algorithm, and then the forgetting factor is assigned dynamically, so that the convergent speed is significantly improved. The algorithm overcomes the impact of low-pas
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Ge, Ping-shu, Lie Guo, Guo-kai Xu, Rong-hui Zhang, and Tao Zhang. "A Real-Time Lane Detection Algorithm Based on Intelligent CCD Parameters Regulation." Discrete Dynamics in Nature and Society 2012 (2012): 1–16. http://dx.doi.org/10.1155/2012/273164.

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Lane departure warning system (LDWS) has been regarded as an efficient method to lessen the damages of road traffic accident resulting from driver fatigue or inattention. Lane detection is one of the key techniques for LDWS. To overcome the contradiction between complexity of algorithm and the real-time requirement for vehicle onboard system, this paper introduces a new lane detection method based on intelligent CCD parameters regulation. In order to improve the real-time capability of the system, a CCD parameters regulating method is proposed which enhances the contrast between lane line and
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Huang, Zhi, Shihang Chen, and Hongyan Wang. "Development of three-dimensional dynamic grinding force measurement platform." Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 232, no. 2 (2016): 331–40. http://dx.doi.org/10.1177/0954406216680380.

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In order to accurately measure and control high-frequency grinding force in the process of grinding, a novel measurement method of three-dimensional grinding force with mutual perpendicular and independent elastic elements is proposed in this paper. To detect the high frequency grinding force, a resistance strain-type three-dimensional grinding force measurement platform was designed and developed. The key performance indicators of the measurement platform were investigated via finite element simulation. In addition, the detection performance of the measurement platform was researched and veri
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Shen, Mengmeng, Feng He, Zhen Dong, Xing Chen, Lei Yu, and Manqing Wu. "Frequency Diversity Gain of a Wideband Radar Signal." Remote Sensing 13, no. 23 (2021): 4885. http://dx.doi.org/10.3390/rs13234885.

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Wideband radar has high-range directional resolution, which can effectively reduce the fluctuation of echo and improve the detection probability of a target under the same detection probability requirement. In this paper, a unified wideband radar χ2 distribution target model with more practical significance is innovatively established, on which the probability density function and detection probability function of Swerling 0, Swerling II and Swerling IV targets are analyzed, respectively. A generalized “frequency diversity gain” of wideband radar is proposed and defined based on the contradict
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Sulaiman, Nursyazyla, Nik Norasma Che’Ya, Muhammad Huzaifah Mohd Roslim, Abdul Shukor Juraimi, Nisfariza Mohd Noor, and Wan Fazilah Fazlil Ilahi. "The Application of Hyperspectral Remote Sensing Imagery (HRSI) for Weed Detection Analysis in Rice Fields: A Review." Applied Sciences 12, no. 5 (2022): 2570. http://dx.doi.org/10.3390/app12052570.

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Weeds are found on every cropland across the world. Weeds compete for light, water, and nutrients with attractive plants, introduce illnesses or viruses, and attract harmful insects and pests, resulting in yield loss. New weed detection technologies have been developed in recent years to increase weed detection speed and accuracy, resolving the contradiction between the goals of enhancing soil health and achieving sufficient weed control for profitable farming. In recent years, a variety of platforms, such as satellites, airplanes, unmanned aerial vehicles (UAVs), and close-range platforms, ha
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Garibjanian, A. T., V. V. Hambarian, L. V. Mirzoyan, and A. L. Mirzoyan. "Distribution of red dwarfs in general galactic field on the basis of stellar star statistics." Symposium - International Astronomical Union 137 (1990): 59–62. http://dx.doi.org/10.1017/s0074180900187443.

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The mathematical expectation for detection of stellar flare on UV Ceti type stars in the solar vicinity during photographic patrol observations with 40″ Shcmidt camera of the Byurakan Astrophysical Observatory is estimated. We use the luminosity function of the flaring red dwarfs the assume a uniform distribution in the general galactic field. Comparison with the results of photographic patrol supports this assumption. The numbers and total mass of the flare and non-flare red dwarf stars in the Galaxy for the uniform distribution are determined. They are not in contradiction with Oort's estima
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Zhang, Maoshen, He Li , Peijing Wang, and Qiang Liu. "Parity Check Based Fault Detection against Timing Fault Injection Attacks." Electronics 11, no. 24 (2022): 4082. http://dx.doi.org/10.3390/electronics11244082.

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Fault injection technologies can be utilized to steal secret information inside integrated circuits (ICs), and thus cause serious information security threats. Parity check has been adopted as an efficient method against fault injection attacks. However, the contradiction between security and overhead restricts the further development and applications of parity check in fault injection detection. This paper proposes two methods, mixed-grained parity check and word recombination parity check, based on parity check for the trade-off between security and overhead. The efficiency of the proposed a
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Yang, Xiaxie, and Ying Xue. "A Threshold Design Method of Aircraft Sensor Fault Detection Monitor." Journal of Physics: Conference Series 2658, no. 1 (2023): 012040. http://dx.doi.org/10.1088/1742-6596/2658/1/012040.

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Abstract A design method is proposed based on probability and statistics to solve the issue that the contradiction between false alarm rate and missed detection rate of sensor comparing monitor threshold definition. The sensor tracking error probability density function is deduced based on the probability, the false alarm rate and missed detection rate are calculated based on the different monitor threshold. Then a criterion is provided in according with sensor failure rate, aircraft dispatch reliability and monitor failure rate. In order to verify it, a quad redundant rate gyro used on aircra
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Zhao, Hanqing, and Tuanshan Zhang. "Fabric Surface Defect Detection Using SE-SSDNet." Symmetry 14, no. 11 (2022): 2373. http://dx.doi.org/10.3390/sym14112373.

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For fabric defect detection, the crucial issue is that large defects can be detected but not small ones, and vice versa, and this symmetric contradiction cannot be solved by a single method, especially for colored fabrics. In this paper, we propose a method based on a combination of two networks, SE and SSD, namely the SE-SSD Net method. The model is based on the SSD network and adds the SE module for squeezing and the Excitation module after its convolution operation, which is used to increase the weight of the model for the feature channels containing defect information while re-preserving t
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Chen, Kedi, Qin Chen, Jie Zhou, et al. "Enhancing Uncertainty Modeling with Semantic Graph for Hallucination Detection." Proceedings of the AAAI Conference on Artificial Intelligence 39, no. 22 (2025): 23586–94. https://doi.org/10.1609/aaai.v39i22.34528.

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Large Language Models (LLMs) are prone to hallucination with non-factual or unfaithful statements, which undermines the applications in real-world scenarios. Recent researches focus on uncertainty-based hallucination detection, which utilizes the output probability of LLMs for uncertainty calculation and does not rely on external knowledge or frequent sampling from LLMs. Whereas, most approaches merely consider the uncertainty of each independent token, while the intricate semantic relations among tokens and sentences are not well studied, which limits the detection of hallucination that spans
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Danyliuk, Mykola O., Ruslana S. Barabaliuk, and Taras A. Kovalskyi. "Modern Contradictions in the Domestic Electric Power Industry." Business Inform 2, no. 541 (2023): 130–36. http://dx.doi.org/10.32983/2222-4459-2023-2-130-136.

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The article is concerned with studying the current state of the domestic electric power industry and the existing and potential contradictions between stakeholders in the process of its restoration and modernization. Based on the studies of world experience, possible changes are indicated, namely: recovery of the energy system on the basis of decentralization; development of mini-power plants; creation of an energy storage system at existing hydroelectric power plants; development of hybrid projects in the field of renewable energy sources (RES) and the introduction of other generating capacit
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Li, Zhaoxia, Jianxing Zhu, K. Arumugam, Jyoti Bhola, and Rahul Neware. "Research on computer static software defect detection system based on big data technology." Journal of Intelligent Systems 31, no. 1 (2022): 1055–64. http://dx.doi.org/10.1515/jisys-2021-0260.

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Abstract To study the static software defect detection system, based on the traditional static software defect detection system design, a new static software defect detection system design based on big data technology is proposed. The proposed method can optimize the distribution of test resources and improve the quality of software products by predicting the potential defect program modules and design the software and hardware of the static software defect detection system of big data technology. It is found that the traditional static software defect detection system design based on code sou
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