As semiconductor manufacturing processes are becoming more and sophisticated, how to maintain their feasible production yield becomes an important issue. Also, build a smart platform that can facilitate realizing factories is essential desirable for current industries. Aimed at addressing the above-mentioned two issues, in this letter, five-stage approach enhancing assuring proposed. platform- Advanced Manufacturing Cloud of Things (AMCoT) based on Internet Things, cloud computing, big data...

Many core technologies of Industry 4.0 have gained substantial advancement in recent years. Digital Twin (DT) has become the key technology and tool for manufacturing industries to realize intelligent cyber-physical integration digital transformation by leveraging these technologies. Although there been many DT-related works, is no standard definition, unified framework, implementation approach DT until now. Widely developing DTs industry still challenging. Thus, this paper proposes a novel...

Industry 4.0 is set to be one of the new manufacturing objectives. The technologies involved achieve are Internet Things (IoT), cyber physical systems (CPS), and cloud (CM). However, current objectives defined by do not include zero defects; it only keeps faith achieving nearly zero-defects state. purpose this paper propose a platform denoted advanced things (AMCoT) but also accomplish goal defects applying technology automatic virtual metrology (AVM). As such, together with AVM defects, era...

Exposure to acrylamide in foodstuffs and smoking has become a worldwide concern. The effect of on glucose homeostasis is not known. goal the present study was test hypothesis that trace exposure might be independently associated with both reduced blood insulin resistance.We examined 1,356 participants reliable measures Hb adducts (HbAA) glycidamide from National Health Nutrition Examination Survey, 2003-2004. Glucose assessed by measurement plasma glucose, serum insulin, model assessment...

In the production process from green beans to coffee bean packages, defective removal (or in short, defect removal) is one of most labor-consuming stages, and many companies investigate automation this stage for minimizing human efforts. paper, we propose a deep-learning-based inspection scheme (DL-DBIS), together with GAN (generative-adversarial network)-structured automated labeled data augmentation method (GALDAM) enhancing proposed scheme, so that degree robotic arms can be further...

In the era of digital transformation, containerized systems and twins are vital technologies in intelligent manufacturing. Our previous research, Implementation Framework Digital Twins for Intelligent Manufacturing (IF-DTiM), lacks comprehensive security features[1]. To address this critical gap, we propose Advanced Security Approach Building Secure Containerized (ASABS-CMDT), integrating automated tools detecting vulnerabilities, container image creation, secure signing, all within...

The globalised machine-tool manufacturing enterprises are eager to develop intelligent machine tools and novel business models increase their competitiveness. In recent years, cloud manufacturing, encapsulating distributed resources into services for supporting all tasks in a product life cycle, has emerged as promising concept approach the machining industry achieve such goal gain profits. However, there been no systematic development of systems (CMSs) so far. this paper, we propose...

Cloud manufacturing (CMfg) has emerged as a next-generation paradigm that potential to revolutionize the industry. In further promotion of CMfg, how build CMfg services in an automatic and efficient manner is essential challenging subject. Currently, there no literature addressing such issue. Aimed at facilitating rapid construction services, this letter proposes novel automated scheme for developing called Manufacturing Service Automated Construction Scheme (MSACS). First, we develop...

This paper aims to present the design of a cloud computing-based equipment monitoring system (EMS), called CCEMS, for CNC machine tool industry illustrate paradigm shift EMSs from basing on Internet cloud. In Graphical User Interface (GUI) plays an important role that allows users interact with controlling and operating equipment, performance statuses, detecting diagnosing faults, conjecturing production quality precision so on. To overcome shortcomings traditional Web GUIs, this proposes...

In this paper, a cloud manufacturing platform, called AMC (Advanced Manufacturing Cloud), is introduced. The provides several manufacturing-related services to facilitate the users conduct supporting activities for machine tools and offers intelligent devices which can be plugged in various prediction models performing predictive applications on tools. We first describe architecture design of then present methodologies how build key mechanisms AMC. Finally, we construct paradigm practically...

Electrical discharge machining (EDM) can machine hard conductive workpieces that are difficult to using traditional techniques. For monitoring the EDM process virtual metrology (VM), probes with a very high sampling rate needed acquire voltage and current signals of electrodes, thereby generating huge amount sensor data raising big processing issue in extracting features from raw data. This paper proposes novel efficient scheme for feature extraction EDM, called BEDPS, based on Spark HDFS. A...

In this paper, we propose a novel Hough circle-assisting deep-network inspection scheme (HCADIS), aiming at identifying defects in dense coffee beans. The proposed HCADIS plays critical role camera-based defect removal system to collect defective bean positions for picking all off. idea of the is mix intermediate data from deep network and feature engineering method call circle transform utilizing advantages both methods inspecting adopted because it performs quite stable shapes are highly...

Implementing intelligent manufacturing services on factory-wide edge devices connected with production equipment efficiently so that those are pluggable, plug-and-play, and manageable through the network is a challenging task highly beneficial for facilitating realizing smart factory. This paper proposes cloud-based pluggable service scheme (called CPMSS) by leveraging cloud computing, RESTful Web Service to address this issue. By using two-layer-RESTful-service mechanism, can be built in...

Coffee beans are one of most valuable agricultural products in the world, and defective bean removal plays a critical role to produce high-quality coffee products. In this work, we propose novel labor-efficient deep learning-based model generation scheme, aiming at providing an effective with less human labeling effort. The key idea is iteratively generate new training images containing various locations by using generative-adversarial network framework, these incur low successful detection...

In this letter, we propose a novel smart livestock surveillance system through cooperation of AIoT (artificial intelligence things) devices and the cloud computing platform, aiming at providing semantic information via assembling deep networks with limited resource. The key proposed includes two designs: deep-net as service expandable-convolutional-block neural network (ECB-Net). first is development architecture divide-and-conquer philosophy for establishing systems, work provides concrete...

In this paper, we design an Auto-scaling Cloud Manufacturing Framework (ACMF), aimed at providing a rapid development paradigm of how to build cloud manufacturing systems for the machine tool industry. First, worker controller (WCR) is designed automatically adjust number virtual machines according demands supporting multiple users simultaneously access services using just enough computing resource. Second, bulletin board-based exchange (BBX) protocol data through shared storages reducing...

In the vision of intelligent factory industry 4.0, many enterprises are eager to increase productivity by analysing production data collected from equipment in runtime or products. Developing a continuous yield improvement system framework with big capability shall gain an insight into demands improvement. this paper, we developed cyber-physical-style (CP-CYIS) for providing solution rapidly construct required process shorter time on finding root cause. The main idea is divide complete...

In this paper, we propose a novel data transformation scheme over big platform, aiming at injecting production from the local database in factory side and transforming them into workpiece-centric form that many manufacturing analytics systems need. The key idea is to blend processing techniques, including table composition with external distributed files, columnar storage, partition, massively parallel for minimizing time. Our proposed brings two main impacts smart manufacturing. First, our...

To solve the problems of delivery shortages and excess product inventories, TFT-LCD manufacturers their suppliers need to share production planning data, such as work in process (WIP) shipping demands, plans, just-in-time (JIT) material etc. In this paper, we develop a data platform, called PPDEP, fulfill demand. Specifically, integration server (PPIS) is constructed each enterprise which communicates with other enterprises through RosettaNet standards integrates internal systems designed...

Virtual Metrology (VM) refers to a technology that is able conjecture product quality using important parameter data of production equipment and proper prediction schemes. In an automatic VM system (AVMS), Manager the core system's operations communication bridge among subsystems because it responsible for distributing commands each subsystem possessing access privilege central database. This paper aims develop new kernel several functional mechanisms so AVMS with refined can have superior...

Chip-probing is the key process for IC manufacturing to its ensure quality. As number of tests increases, test quality and yield will be affected because needles on probe card tester contaminated by external objects or worn out. Whether a needle polish required can determined through real-time monitoring various detection indicators such as resistivity yield. However, both are lagging indicators, excessively frequent polishes increase processing time reduce throughput. The so-called...