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Accept cash and credit card payments in your store or restaurant with this uAccept POS system. A built-in printer creates easy-to-read receipts, while the magnetic card stripe reader gives customers the option to pay with credit or debit cards. The capacitive touchscreen display provides effortless navigation through a range of transactions, so your staff can process sales, exchanges, and returns. This system includes a front-facing display for customers to keep track of purchase prices and transaction totals. Wi-Fi and LAN compatibility keep this POS system connected for streamlined inventory management and access to credit card processing systems. Featuring integrated cloud-connected software, this uAccept POS system lets you manage SKUs, keep track of loyalty programs and view sales reports..Lifetime manufacturer limited warranty.Cloud-based POS system with 8" touchscreen.Powerful cloud software lets you view sales reports, manage and track loyalty campaigns, add products and categories, manage multiple POS devices within one account, and access real-time business data from any Internet-connected device.Comes in black/white.POS terminal, cash driver, power adapter, Ethernet cable, receipt paper roll, user manual.POS application software.AC power adapter.Five-bill cash drawer; dimensions: 4.5"H x 16.25"W x 16.25"D.Capacitive 8" touchscreen.Plug-and-play Wi-Fi and Ethernet connection ensures reliable and safe data transfer.Terminal dimensions: 2.5"H x 11.25"W x 7"D.Your monthly subscription includes: lifetime warranty, free customer and technical support, lifetime data storage, free software updates. Affordable monthly subscription is required to use the uAccept POS; the uAccept POS will not function without a monthly subscription .⚠ WARNING: Cancer and Reproductive Harm - www.P65Warnings.ca.gov.Compatible with external EMV (Chip and PIN) reader.Streamline your checkout process with this uAccept 8-inch touchscreen cloud-connected POS system.. Hardware: 8" capacitive touch screen with a full picture display and quick select options for faster transactions. Built-in receipt printer, 5-bill cash drawer, encrypted magnetic card reader, customer purchase display, and a quick start guide. Accepts cash, check, and credit card payments. Connects via LAN and Wifi. Software: $49/ mo. subscription to our cloud-based software is required. In your cloud-portal, you can import your inventory, track cost/profit ratios, run reports, track real-time inventory, add alerts when inventory is low, and so much more. Enjoy the option of adding separate login credentials for each employee. Serve your customers better by adding them to loyalty programs, sending receipts via text or email, and communicating sales/promos via Twitter. Free software updates for life, unlimited customer support, unlimited data storage, and a lifetime product guarantee. All this, with a risk-free 30-day money back guarantee.

This book presents an improved design for service provisioning and allocation models that are validated through running genome sequence assembly tasks in a hybrid cloud environment. It proposes approaches for addressing scheduling and performance issues in big data analytics and showcases new algorithms for hybrid cloud scheduling. Scientific sectors such as bioinformatics, astronomy, high-energy physics, and Earth science are generating a tremendous flow of data, commonly known as big data. In the context of growing demand for big data analytics, cloud computing offers an ideal platform for processing big data tasks due to its flexible scalability and adaptability. However, there are numerous problems associated with the current service provisioning and allocation models, such as inefficient scheduling algorithms, overloaded memory overheads, excessive node delays and improper error handling of tasks, all of which need to be addressed to enhance the performance of big data analytics.

This book constitutes the refereed proceedings of the 6th IFIP WG 5.5/SOCOLNET Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2015, held in Costa de Caparica, Portugal, in April 2015. The 54 revised full papers were carefully reviewed and selected from 119 submissions. The papers present selected results produced in engineering doctoral programs and focus on development and application of cloud-based engineering systems. Research results and ongoing work are presented, illustrated and discussed in the following areas: collaborative networks; cloud-based manufacturing; reconfigurable manufacturing; distributed computing and embedded systems; perception and signal processing; healthcare; smart monitoring systems; and renewable energy and energy-related management, decision support, simulation and power conversion.

It is in the area of Systems Diagnosis. Supervision and Control that Knowledge-Based Techniques have had their most significant impact in recent years. In this volume. Spyros Tzafestas has ably put together the current state of the art of the application of Artificial Intelligence concepts to problems of Systems Diagnosis. All the authors in this edited work are distinguished internationally. recognized experts on various aspects of Artificial Intelligence and its applications. and the coverage of the field that they provide is both readable and authoritative. The sixteen chapters break down in a natural way into three broad categories i.e •• (a) introduction to the applications of Expert Systems in Engineering. (b) Knowledge-based systems architectures. models and techniques for fault diagnosis. supervision and real time control and finally. (c) applications and case studies in three specific 'areas. namely: Manufacturing. Chemical Processes and Communications Networks. The final chapter provides a com­ prehensive survey of the field with an extensive bibliography. The mix of original scientific articles. tutorial and survey papers makes this col­ lection a very timely and valuable addition to the literature in this important field. MADAN G. SINGH Professor of Information Engineering at U.M.I.S.T.

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