92,842 research outputs found
Smart Society and Artificial Intelligence: Big Data Scheduling and the Global Standard Method Applied to Smart Maintenance
Abstract The implementation of artificial intelligence (AI) in a smart society, in which the analysis of human habits is mandatory, requires automated data scheduling and analysis using smart applications, a smart infrastructure, smart systems, and a smart network. In this context, which is characterized by a large gap between training and operative processes, a dedicated method is required to manage and extract the massive amount of data and the related information mining. The method presented in this work aims to reduce this gap with near-zero-failure advanced diagnostics (AD) for smart management, which is exploitable in any context of Society 5.0, thus reducing the risk factors at all management levels and ensuring quality and sustainability. We have also developed innovative applications for a human-centered management system to support scheduling in the maintenance of operative processes, for reducing training costs, for improving production yield, and for creating a humanâmachine cyberspace for smart infrastructure design. The results obtained in 12 international companies demonstrate a possible global standardization of operative processes, leading to the design of a near-zero-failure intelligent system that is able to learn and upgrade itself. Our new method provides guidance for selecting the new generation of intelligent manufacturing and smart systems in order to optimize humanâmachine interactions, with the related smart maintenance and education
Intelligent systems in manufacturing: current developments and future prospects
Global competition and rapidly changing customer requirements are demanding increasing changes in manufacturing environments. Enterprises are required to constantly redesign their products and continuously reconfigure their manufacturing systems. Traditional approaches to manufacturing systems do not fully satisfy this new situation. Many authors have proposed that artificial intelligence will bring the flexibility and efficiency needed by manufacturing systems. This paper is a review of artificial intelligence techniques used in manufacturing systems. The paper first defines the components of a simplified intelligent manufacturing systems (IMS), the different Artificial Intelligence (AI) techniques to be considered and then shows how these AI techniques are used for the components of IMS
Pembangunan Modul Pengajaran Kendiri (MPK) keusahawanan dalam topik isu keusahawanan bagi pelajar diploma di politeknik
Terdapat pelbagai kaedah pembelajaran yang telah diperkenalkan termasuklah
kaedah pembelajaran yang menggunakan pendekatan pembelajaran bermodul secara
kendiri. Kajian ini adalah bertujuan untuk mengkaji kesesuaian Modul Pengajaran
Kendiri Keusahawanan dalam topik Isu Keusahawanan yang telah dihasilkan bagi
pelajar yang mengikuti pengajian Diploma di Jabatan Perdagangan Politeknik. Antara
aspek yang dikaji ialah untuk menilai sama ada rekabentuk modul yang dihasilkan dapat
memenuhi ciri-ciri modul yang baik, MPK yang dihasilkan dapat membantu mencapai
objektif pembelajaran, MPK ini bersifat mesra pengguna dan MPK yang dihasilkan
membantu pensyarah menyampaikan pengajarannya dengan lebih berkesan. Kajian ini
dilakukan ke atas 110 orang pelajar semester en am yang mengikuti pengajian diploma
dan 4 orang pensyarah yang mengajar subjek Keusahawanan di Jabatan Perdagangan
Politeknik Sultan Salahuddin Abdul Aziz Shah, Selangor. Kaedah analisa data yang
digunakan dalam kajian ini ialah skor min dan peratus. Hasil daripada kajian ini
menunjukkan bahawa rekabentuk modul yang dihasilkan memenuhi ciri-ciri modul
yang baik, MPK ini membantu untuk mencapai objektif pembelajaran, MPK ini
bersifat mesra pengguna dan MPK yang dihasilkan dapat membantu pensyarah
menyampaikan pengajarannya dengan lebih berkesan. Ini bermakna secara
keseluruhannya, hasil kajian menunjukkan bahawa modul yang dihasilkan oleh pengkaji
adalah sesuai digunakan oleh pelajar-pelajar semester enam yang mengikuti pengajian
diploma di Jabatan Perdagangan peringkat politeknik. Seterusnya, beberapa pandangan
telah dikemukakan bagi meningkatkan rnutu dan kualiti MPK yang dihasilkan. Semoga
kajian ini dapat memberi manfaat kepada mereka yang terlibat dalam bidang
pendidikan
Conclusions and implications of automation in space
Space facilities and programs are reviewed. Space program planning is discussed
A cost-effective intelligent robotic system with dual-arm dexterous coordination and real-time vision
Dexterous coordination of manipulators based on the use of redundant degrees of freedom, multiple sensors, and built-in robot intelligence represents a critical breakthrough in development of advanced manufacturing technology. A cost-effective approach for achieving this new generation of robotics has been made possible by the unprecedented growth of the latest microcomputer and network systems. The resulting flexible automation offers the opportunity to improve the product quality, increase the reliability of the manufacturing process, and augment the production procedures for optimizing the utilization of the robotic system. Moreover, the Advanced Robotic System (ARS) is modular in design and can be upgraded by closely following technological advancements as they occur in various fields. This approach to manufacturing automation enhances the financial justification and ensures the long-term profitability and most efficient implementation of robotic technology. The new system also addresses a broad spectrum of manufacturing demand and has the potential to address both complex jobs as well as highly labor-intensive tasks. The ARS prototype employs the decomposed optimization technique in spatial planning. This technique is implemented to the framework of the sensor-actuator network to establish the general-purpose geometric reasoning system. The development computer system is a multiple microcomputer network system, which provides the architecture for executing the modular network computing algorithms. The knowledge-based approach used in both the robot vision subsystem and the manipulation control subsystems results in the real-time image processing vision-based capability. The vision-based task environment analysis capability and the responsive motion capability are under the command of the local intelligence centers. An array of ultrasonic, proximity, and optoelectronic sensors is used for path planning. The ARS currently has 18 degrees of freedom made up by two articulated arms, one movable robot head, and two charged coupled device (CCD) cameras for producing the stereoscopic views, and articulated cylindrical-type lower body, and an optional mobile base. A functional prototype is demonstrated
Continuous maintenance and the future â Foundations and technological challenges
High value and long life products require continuous maintenance throughout their life cycle to achieve required performance with optimum through-life cost. This paper presents foundations and technologies required to offer the maintenance service. Component and system level degradation science, assessment and modelling along with life cycle âbig dataâ analytics are the two most important knowledge and skill base required for the continuous maintenance. Advanced computing and visualisation technologies will improve efficiency of the maintenance and reduce through-life cost of the product. Future of continuous maintenance within the Industry 4.0 context also identifies the role of IoT, standards and cyber security
Intelligent feature based resource selection and process planning
Lien vers la version Ă©diteur: https://www.inderscience.com/books/index.php?action=record&rec_id=755&chapNum=3&journalID=1022&year=2010This paper presents an intelligent knowledge-based integrated manufacturing system using the STEP feature-based modeling and rule based intelligent techniques to generate suitable process plans for prismatic parts. The system carries out several stages of process planning, such as identification of the pairs of feature/tool that satisfy the required conditions, generation of the possible process plans from identified tools/machine pairs, and selection of the most interesting process plans considering the economical or timing indicators. The suitable processes plans are selected according to the acceptable range of quality, time and cost factors. Each process plan is represented in the tree format by the information items corresponding to their CNC Machine, required tools characteristics, times (machining, setup, preparatory) and the required machining sequences. The process simulation module is provided to demonstrate the different sequences of machining. After selection of suitable process plan, the G-code language used by CNC machines is generated automatically. This approach is validated through a case
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