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70 articles for “Inspection”
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Research ArticleOpen accessIn the keywordsDetection of Subsurface Defects in Concrete Bridge Deck JointsWonchang Choi, Larry Rickard, Taher Abu-Lebdeh, Miguel PicornellProblem statement: The integrity of deck joints in highway bridges plays a major role to determine overall performance of bridge system. As the bridge maintenance program, the defects in deck joints have historically been detected by conventional non-destructive testing and evaluation methods such as visual inspection, chain-dragging and by the detecting sounds under the traffic. Future bridge maintenance challenges will … …American Journal of Engineering and Applied Sciences, Vol. 4, Issue 4 · 31 Dec 2011 · 7,772 accessesView PDFCite
Research ArticleOpen accessIn the keywordsHuman-Robot Interface over the Web Based Intelligent SystemDesa Hazry, Masanori Sugisaka, Taki YujiThis research extends the capability for the new technology platform by Remote Data Inspection System (RDIS) server from Furukawa Co., Ltd. enabling the integration of standard Hypertext Markup Language (HTML) programming and RDIS tag programming to create a user-friendly “point-and-click” web-based control mechanism. The integration allows the users to send commands to mobile robot over the Internet. Web-based control enables … …American Journal of Applied Sciences, Vol. 3, Issue 1 · 31 Aug 2006 · 6,955 accessesView PDFCite
Research ArticleOpen accessIn the keywordsProfit Analysis of A Two Unit Cold Standby System with Preventive Maintenance and Random Change in UnitsKhaled M. EL-Said, Mohamed S. EL-SherbenyThis study discusses the reliability of two units cold standby system with single repair. For achieving high reliability of the system, the operative and the standby units are interchanged at random epochs and additional preventive maintenance of operative and the standby units also. After the repair, the unit is sent for inspection to decide whether the repair is satisfactory. In … …Journal of Mathematics and Statistics, Vol. 1, Issue 1 · 31 Mar 2005 · 6,880 accessesView PDFCite
Review ArticleOpen accessIn the keywordsEmployer Rights and Legal Defenses to OSHA CitationsThomas Oriet, Dr. Leo OrietCongress placed a statutory duty on the employer and employee to be safe in the workplace, but the courts do not reciprocate this duty onto employees. 1With plant managers understandably unaware of their rights,2 and with governmental tactics to obtain consent for administrative ease,3 a company's threat to litigation may derive from its ignorance of the law. This paper aims … …American Journal of Economics and Business Administration, Vol. 10, Issue 1 · 13 Aug 2018 · 16,501 accessesView PDFCite
Research ArticleOpen accessIn the keywordsUtilization from Cement Kiln Dust in Removal of Acid DyesMohamed El-Shahate Ismaiel Saraya, Mahmoud El-Saied Aboul-FetouhProblem statement: The growth of industries and day to day changes in human activities has resulted in an increase in the volume and complexity of wastewater to the environment. Textile industry is one of the most water consumers industries of Egypt, thus discharges large amounts of wastewater effluents during processing, especially, in the coloring and washing steps. Cement kiln dust … …American Journal of Environmental Sciences, Vol. 8, Issue 1 · 30 Jan 2012 · 7,526 accessesView PDFCite
Research ArticleOpen accessIn the abstractLightweight Deep Learning Model for TFT-LCD Pixel Defect Detection Using MobileNetV2J. Sheikshabjan, K. Dhanakodi, A.T. Rajamanickam et al.The proposed methodology aims to achieve high classification accuracy while maintaining computational efficiency and minimizing inference latency, making it highly suitable for real-time industrial inspection scenarios. This study evaluated five traditional transfer learning models (VGG16, ResNet50, MobileNetV2, Xception, and InceptionV3) for comparison in pixel defect detection. MobileNetV2-based implementation demonstrated a competitive average test accuracy of 0.9916, outperforming several baselines while … …Journal of Computer Science, Vol. 22, Issue 8 · 8 Sep 2026 · 673 accessesView PDFCite
Research ArticleOpen accessIn the abstractEnhancing SQL Injection Detection: A Machine Learning Approach Using Network Flow DataP. Vinoth, K. Muthamil Sudar, S. MuthukumarBackground: SQL injection is one of the cyberattacks which occurs in web application vulnerabilities. It targets the poor input validation and enables the attackers to inject malicious queries into the database fields in any application. It will grant access to unauthorized users and data modification, or they will take control over the complete database. To prevent this, there are several … …Journal of Computer Science, Vol. 22, Issue 8 · 18 Aug 2026 · 1,051 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Edge Efficient and Lightweight Hybrid CNN Vision Transformer Network With CBAM for IoT Based Plant Disease DetectionNyabeye Pangop Doris-Khöler, Kengni Ngangmo OlgaDetecting crop disease early enough to act on it remains a bottleneck for smallholder and precision farming alike, particularly when diagnosis depends on manual inspection or lab analysis that cannot keep pace with an outbreak. We present AgriViTNet, a compact CNN-Vision Transformer hybrid built for exactly this constraint: It extracts local texture cues through convolution, relates them across the whole … …Journal of Computer Science, Vol. 22, Issue 9 · 20 Sep 2026 · 578 accessesView PDFCite
Research ArticleOpen accessIn the abstractMorphological Database and Quantification of Liberica Coffee Beans Using a Hybrid CNN ModelDioneces O. Alimoren, Francis G. Balazon, Jonnah R. Melo et al.Traditional evaluation of Liberica coffee (Kapeng Barako) in Batangas is commonly performed through manual visual inspection and sensory judgment, which are slow, subjective, and difficult to reproduce across farms, buyers, and grading personnel. These limitations can lead to inconsistent quality classification, weak traceability, and reduced bargaining power for local producers. This study develops and validates a web-based morphological analysis system … …Journal of Computer Science, Vol. 22, Issue 8 · 24 Aug 2026 · 1,337 accessesView PDFCite
Research ArticleOpen accessIn the abstractOptimization of Non-Technical Electricity Loss Detection Using Artificial Neural Networks: Case of Cameroon Distribution NetworkLekini Nkodo Claude Bernard, Bell Serge Samuel, Nyemb Nsoga Valjacques et al.Non-Technical Losses (NTL) represent a critical challenge for power utilities, particularly in developing countries. This paper proposes an unsupervised deep learning approach based on an autoencoder to detect abnormal electricity consumption patterns in the Cameroonian distribution network. The model learns normal customer behavior using historical consumption data and identifies anomalies through reconstruction error analysis. Statistical thresholds are applied to classify … …American Journal of Engineering and Applied Sciences, Vol. 19, Issue 1 · 23 Jul 2026 · 1,225 accessesView PDFCite