1,721,268 research outputs found
Multi Agent System for Railway Steel Bridges Health Monitoring by Vibration Based Sensory Data and Fuzzy Logic
Full text linkThe Structural Health Monitoring (SHM) of railway steel bridges is critical to ensure transportation safety, reliability, and timely maintenance. This thesis proposes a comprehensive vibration-based SHM framework that integrates signal processing, deep learning, and fuzzy reasoning to detect, classify, and interpret structural damage. This thesis proposes a comprehensive Multi-Agent System (MAS) for SHM of railway steel bridges using vibration-based sensory data, machine learning algorithms, and fuzzy logic reasoning. The system integrates diverse artificial intelligence agents; responsible for sensing, perception, classification, reasoning, and alert generation; into a cohesive architecture designed to detect, localize, and assess structural damage in real-time. Vibration signals collected from accelerometer sensors are first processed through the Hankel matrix construction and Singular Value Decomposition (SVD). These transformed signals are converted into statistical features and spectrograms using the Short-Time Fourier Transform (STFT), capturing the temporal and spectral evolution of bridge vibrations to be used in time domain SHM detection and Frequency Domain classifications respectively. These statistical features and spectrograms form the shared environment observed by multiple classifier agents. We implement and compare classical machine learning models (SVM, KNN, RF, MLP, Ensemble), a custom Radial Basis Function Network (RBF-Net), and deep learning architectures (ResNet50, DenseNet121, EfficientNetB0). Additionally, hybrid DNN-Transformer fusion models (TRNet, TDNet, TENet) are proposed to combine local feature extraction with global temporal attention. These models collectively support bridge scenario classification and damage intensity estimation, achieving accuracies exceeding 90%. An Explainable Boosting Machine (EBM) agent further enhances transparency by highlighting the influence of input features such as skewness, kurtosis, and signal energy on classification outcomes. Finally, a Fuzzy Logic Reasoning Agent is introduced, which aggregates outputs from perception agents and applies expert-defined fuzzy rules to generate human-readable alerts (Attention, Pre-Alarm, Alarm). The proposed MAS architecture ensures robustness, interpretability, and modularity, key requirements for intelligent infrastructure monitoring. The work advances SHM by demonstrating that distributed intelligence, deep learning, and fuzzy reasoning can be jointly leveraged to build reliable, interpretable, and scalable monitoring systems for safety-critical railway bridges
Erratum to: Fixture layout optimization for multi point respot welding of sheet metals (Journal of Mechanical Science and Technology, (2018), 32, 4, (1749-1760), 10.1007/s12206-018-0331-5)
No full textThere is one correction to make to the original article. The affiliation of the 3rd author, Muhammad Asad, was misprinted. The affiliation should be corrected as follows:3Mechanical Engineering Department, Prince Mohammad Bin Fahd University, AlKhobar 31952, Kingdom of Saudi Arabia
Fixture layout optimization for multi point respot welding of sheet metals
No full textThe high quality of welding in the automotive industry is achieved by proper positioning of the fixture elements. A new method, N-3-2-1 (N ≥ 1), is proposed for fixture layout optimization of sheet metals. The flexible nature of the sheet metals requires N+3 fixture elements to constrain it normal to the surface (primary plane), but 2-1 fixture elements for other two directions (secondary and tertiary). The objective function is to achieve high stiffness of the workpiece and is calculated in terms of strain energy. Finite element analysis (FEA) was combined with genetic algorithm. A method was also proposed to find the optimum fixturing position of the workpiece in multipoint respot welding operation. Two different kinds of case studies were solved and the performance of the proposed method was also tested in the industrial scenario by fixturing the workpiece and completing the respot welding operation with satisfactory results
Figure 2 in An assessment of food habits and altitudinal distribution of the Asiatic black bear (Ursus thibetanus) in the Western Himalayas, Pakistan
No full textFigure 2. (1) Maize crop raided by a black bear in Malkandi reserve forest area, Kaghan Valley, Pakistan, 2013–2014. (2, 3) Photographs of scats found near the same forest area where bears raided maize crops.Published as part of Ali, Ashfaq, Zhou, Zhixiang, Waseem, Muhammad, Khan, Muhammad Fiaz, Ali, Ishtiaq, Asad, Muhammad & Qashqaei, Ali Turk, 2017, An assessment of food habits and altitudinal distribution of the Asiatic black bear (Ursus thibetanus) in the Western Himalayas, Pakistan, pp. 689-701 in Journal of Natural History 51 (11-12) on page 697, DOI: 10.1080/00222933.2017.1303097, http://zenodo.org/record/518025
PTU-004 hepatocellular carcinoma can be managed safely and effectively in a DGH-setting with superior surveillance-programme survival
No full textIntroduction and aims: HCC is the second commonest cause of cancer-related death worldwide and strongly associated with liver cirrhosis and with a rising incidence. Despite screening most HCC cases present at an intermediate or advanced stage unsuitable for curative surgery. The standard of care for most non-curative cases being actively treated remains transarterial chemo-embolisation TACE and/or ablation (RFA.) Both are specialist procedures normally delivered in tertiary centres. At the Royal Bournemouth Hospital (RBH), a large DGH, specialist HCC treatments are offered to Dorset County following MDT and combined hepatology/IR clinic review. There is an established surveillance programme offered to all suitable at-risk patients. We sought to assess the outcomes of the service with a focus on the benefits of surveillance and the safety of offering tertiary level services in a DGH setting.Methods: we identified all new HCC cases presented in the pan-Dorset Upper GI MDT from Jan 2017 to Dec 2017. We collected demographic data, whether they had been under a surveillance programme and the treatment outcomes including complications and 1- and 12- month mortality.Results: we identified 35 patients (30 M; 5F.) The aetiology was alcohol in 26% (n=9), NASH 43% (n=15), HCV 17% (n=6) and others 9% (n=3.) Cirrhosis was present in 63% (n=22): Child’s A 59% (n=13), Child’s B 32% (n=7) & Child’s C 9% (n=2.). Most cases were referred from RBH 77% (n=27), and 23% from the two other referring hospitals in the County. HCC surveillance detected 43% (n=15) of cases with 57% new presentations. Of the surveillance cases, the majority 87% (n=13) were identified at the centre with the most established surveillance programme but as the largest centre RBH also identified most new presentations 70% (n=14.). More active treatment was offered to the surveillance group at 87% vs 65% of non-surveillance group (p≤0.05.). Curative treatment (transplant, surgery or RFA to small HCC) was suitable in only 14.3% (n=5), all identified by surveillance. TACE was offered to 46% of patients (n=16.) Of the TACE patients, 56% (n= 9) underwent more than 1 procedure. Only 2 patients had decompensation post-TACE, which recovered. Post-TACE survival was 100% at 1 month and 79% at 1 year. These outcomes are comparable to published literature from larger centres. Overall 1-month and 12-month survival for surveillance cases was better than new presentations at 100% and 73% vs 85% and 50% respectively (p≤0.05.)Conclusions: specialist HCC treatment, following combined hepatology/IR review, can be offered safely and effectively in a large DGH setting with mortality and morbidities outcomes comparable to specialist tertiary centres. Our data confirms HCC surveillance allows for earlier cancer detection with more treatment options and improved survival
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
An assessment of food habits and altitudinal distribution of the Asiatic black bear (<i>Ursus thibetanus</i>) in the Western Himalayas, Pakistan
No full textAli, Ashfaq, Zhou, Zhixiang, Waseem, Muhammad, Khan, Muhammad Fiaz, Ali, Ishtiaq, Asad, Muhammad, Qashqaei, Ali Turk (2017): An assessment of food habits and altitudinal distribution of the Asiatic black bear (Ursus thibetanus) in the Western Himalayas, Pakistan. Journal of Natural History 51 (11-12): 689-701, DOI: 10.1080/00222933.2017.1303097, URL: http://dx.doi.org/10.1080/00222933.2017.130309
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
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