DSpace Community: Mechatronic Design, Experimental Setup and Control Architecture Design of a Novel 4 DoF Parallel ManipulatorMechatronic Design, Experimental Setup and Control Architecture Design of a Novel 4 DoF Parallel Manipulatorhttp://hdl.handle.net/20.500.11889/172024-03-29T08:15:08Z2024-03-29T08:15:08Zمشارف المنطقنسيبة، سريhttp://hdl.handle.net/20.500.11889/86212024-03-10T01:03:41Z1984-01-01T00:00:00ZTitle: مشارف المنطق
Authors: نسيبة، سري1984-01-01T00:00:00Zمذكرات الملك عبد اللهعبد الله الأول، ملك الأردنhttp://hdl.handle.net/20.500.11889/86202024-03-10T01:03:42Z1942-01-01T00:00:00ZTitle: مذكرات الملك عبد الله
Authors: عبد الله الأول، ملك الأردن1942-01-01T00:00:00ZInvestigating artificial intelligence and modern technologies enhancement in stone and marble cutting in PalestineAbu Hanieh, AhmedHasan, Afif AkelAbdelall, SadiqAlhanjouri, Mohammed A.http://hdl.handle.net/20.500.11889/86162024-03-10T01:03:34Z2024-03-01T00:00:00ZTitle: Investigating artificial intelligence and modern technologies enhancement in stone and marble cutting in Palestine
Authors: Abu Hanieh, Ahmed; Hasan, Afif Akel; Abdelall, Sadiq; Alhanjouri, Mohammed A.
Abstract: Stone and Marble sector in Palestine has a significant contribution to the GDP. There are some modern factories that use computerized and numerical controls for stone cutting employing modern tools and processes, but most of the marble cutting factories depend on manual and small machinery production lines. This paper examines integrating modern technologies; artificial intelligence (AI) and mechatronic systems like sensors, actuators and control systems, in these cutting factories in order to increase their efficiency, improve the added value and contribute in the occupational safety for human labor and cutting processes. In particular artificial intelligence, machine learning and image processing tools will be investigated as examples of modern technologies that can be implemented in marble and stone cutting processes in Palestine. Four Convolutional Natural Network (CNN) types were employed to classify marble slabs, comparing colored and gray-level databases. Gray-level yielded superior recognition rates due to marble's prevalent gray color. Texture, not color, drove classification; ResNet-152 achieved 100% Recognition Rate (RR) for gray-level and 98.6% for colored. In terms of efficiency, Inception CNN excelled. Ultimately, gray-level images best served marble classification, rendering color irrelevant.2024-03-01T00:00:00ZFrom theory to practice of formal and informal Palestinian small businessesSultan, SuhailTsoukatos, Evangeloshttp://hdl.handle.net/20.500.11889/85942024-03-03T01:03:31Z2019-01-01T00:00:00ZTitle: From theory to practice of formal and informal Palestinian small businesses
Authors: Sultan, Suhail; Tsoukatos, Evangelos
Abstract: This chapter aims to address the characteristics, strengths, and weaknesses of Palestinian formal and informal small businesses, thus linking the theoretical to the practical perspective of these business categories in addition to prescribing the needed policies to foster these businesses. It combines a literature review with a mixed-methods study. A sample of 300 formal and informal small businesses was surveyed; in-depth interviews with representatives from government, private sector, banks, and microfinance institutions were conducted. The results describe a mixed profile of theoretical and ad-hoc practical behaviors, both in terms of strengths and weaknesses and in relation to aspects such as employment, income generation, labor skills, technology affordability, gender, information, market and finance accessibility, expertise, and infrastructure.2019-01-01T00:00:00Z