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News Article | May 8, 2017
Site: www.prnewswire.com

The out of the box solution has proven a winner for local Australian door hardware retailer HardwareBox. "For us, the advantage of using a mobile barcode scanner to manage our inventory, is that we can update any discrepancies in real time. This is critical to us, to ensure the stock available on our listings is correct, so our customers aren't disappointed after ordering," says David Grollo, Operations Manager, HardwareBox.com.au Andrew Gurney, ScanSKU Managing Director explains: "HardwareBox's inventory management was completely manual. With the introduction of our hardware and software, they were able to move to a paperless operation with almost no manual errors". The M Series 1D/2D Scanner features a Hard-Key keyboard, Micro SD slot, Sim Card slot, GPS tracking and a removable battery with optional charging dock. The device can operate in temperatures from -25 to +70 C with a 4-inch Durable Backlit touch screen. "The inclusion of a physical keyboard on the M Series, rather than just a soft keyboard, is critical within the Logistics industry.  Gloves are often worn as a key safety item, so an on-screen keyboard is not always practical to use. This was a key feature we knew we had to have," adds Andrew. ScanSKU is unique among hardware manufactures in that they also pair their devices with in-house software. The range of M Series Scanners come with the ScanSKU Stocktaking application. The Stocktaking application is customisable, and can capture additional data whilst performing a stocktake, capturing the condition of parts with the in-built 5-megapixel camera. Stocktake results can then be emailed directly from the device with the click of a button, as soon as the count has been completed. This integration between hardware and software means the package can be used straight out of the box. ScanSKU develops and manufactures held-held Android Based Barcode Hardware Solutions. ScanSKU partners with app and software developers in Inventory, POS, Asset Management and Mobile Invoicing Industries, ensuring customers can use the solution right out of the box. To view the original version on PR Newswire, visit:http://www.prnewswire.com/news-releases/scansku-m-series-perfect-for-logistics-challenging-environments-300452860.html


News Article | May 8, 2017
Site: en.prnasia.com

SYDNEY, May 8, 2017 /PRNewswire/ -- Manufacturer of rugged Android based-barcode scanners ScanSKU is pleased to announce the release of its all-new M Series 1D/2D barcode Scanner. The addition of a 2D compatible scanner is in response to the growing use of 2D barcodes (QR Codes) within the Logistics and Retail Industry, and is just one of the reasons for its' rapid uptake. The out of the box solution has proven a winner for local Australian door hardware retailer HardwareBox. "For us, the advantage of using a mobile barcode scanner to manage our inventory, is that we can update any discrepancies in real time. This is critical to us, to ensure the stock available on our listings is correct, so our customers aren't disappointed after ordering," says David Grollo, Operations Manager, HardwareBox.com.au Andrew Gurney, ScanSKU Managing Director explains: "HardwareBox's inventory management was completely manual. With the introduction of our hardware and software, they were able to move to a paperless operation with almost no manual errors". The M Series 1D/2D Scanner features a Hard-Key keyboard, Micro SD slot, Sim Card slot, GPS tracking and a removable battery with optional charging dock. The device can operate in temperatures from -25 to +70 C with a 4-inch Durable Backlit touch screen. "The inclusion of a physical keyboard on the M Series, rather than just a soft keyboard, is critical within the Logistics industry.  Gloves are often worn as a key safety item, so an on-screen keyboard is not always practical to use. This was a key feature we knew we had to have," adds Andrew. ScanSKU is unique among hardware manufactures in that they also pair their devices with in-house software. The range of M Series Scanners come with the ScanSKU Stocktaking application. The Stocktaking application is customisable, and can capture additional data whilst performing a stocktake, capturing the condition of parts with the in-built 5-megapixel camera. Stocktake results can then be emailed directly from the device with the click of a button, as soon as the count has been completed. This integration between hardware and software means the package can be used straight out of the box. ScanSKU develops and manufactures held-held Android Based Barcode Hardware Solutions. ScanSKU partners with app and software developers in Inventory, POS, Asset Management and Mobile Invoicing Industries, ensuring customers can use the solution right out of the box. To view the original version on PR Newswire, visit:http://www.prnewswire.com/news-releases/scansku-m-series-perfect-for-logistics-challenging-environments-300452860.html


Rodionova O.,Stocktaking | Balyklova K.S.,Stocktaking | Titova A.V.,Russian National Research Medical University | Pomerantsev A.L.,RAS Semenov Institute of Chemical Physics
Journal of Pharmaceutical and Biomedical Analysis | Year: 2014

When combating counterfeits it is equally important to recognize fakes and to avoid misclassification of genuine samples. This study presents a general approach to the problem using a newly-developed method called Data Driven Soft Independent Modeling of Class Analogy. The possibility to collect representative data for both training and validation is of great importance in classification modeling. When fakes are not available, we propose to compose the test set using the legitimate drug's analogs, manufactured by various producers. These analogs should have the identical API and a similar composition of excipients. The approach shows satisfactory results both in revealing counterfeits and in accounting for the future variability of the target class drugs. The presented case studies demonstrate that theoretically predicted misclassification errors can be successfully employed for the science-based risk assessment in drug identification. © 2014 Elsevier B.V.


Rodionova O.Y.,Stocktaking | Titova A.V.,Russian National Research Medical University | Pomerantsev A.L.,RAS Semenov Institute of Chemical Physics
TrAC - Trends in Analytical Chemistry | Year: 2016

Authentication is the process of determining whether an object is, in fact, what it is declared to be. In practice, this problem is often solved by using discriminant methods. In this paper, we explain that such techniques do a poor authentication job. The main drawback of discriminant methods is their inability of proper classification of new samples, which do not belong to any of the predefined classes. Our considerations are illustrated by a real-world example and a comparison of the results provided by the following two methods: Partial Least Squares- Discriminant Analysis, PLS-DA, and Data Driven Soft Independent Modeling of Class Analogy, DD-SIMCA. © 2016 Elsevier B.V.


Rodionova O.Ye.,Stocktaking | Balyklova K.S.,Stocktaking | Titova A.V.,Russian National Research Medical University | Pomerantsev A.L.,RAS Semenov Institute of Chemical Physics
Applied Spectroscopy | Year: 2013

When several near-infrared instruments are used in a network and a common chemometric model is applied to spectral processing, comparison of the instruments is indispensable. Direct transferability often claimed by the producers should be treated with caution. It has been found experimentally that when measurements are performed with the help of a fiber optic probe, the main source of spectral discrepancy is related to probe sensitivity in contactless measurements. Here the influence of the probe-to-object distance on the acquired spectra is analyzed in detail. Special experimental setups are proposed to isolate various strongly influencing factors and to maintain stable measurement conditions. The application of an artificial standard instead of real-world objects helps to focus on the instrument/accessory characteristics. © 2013 Society for Applied Spectroscopy.


PubMed | Stocktaking
Type: Journal Article | Journal: Applied spectroscopy | Year: 2013

When several near-infrared instruments are used in a network and a common chemometric model is applied to spectral processing, comparison of the instruments is indispensable. Direct transferability often claimed by the producers should be treated with caution. It has been found experimentally that when measurements are performed with the help of a fiber optic probe, the main source of spectral discrepancy is related to probe sensitivity in contactless measurements. Here the influence of the probe-to-object distance on the acquired spectra is analyzed in detail. Special experimental setups are proposed to isolate various strongly influencing factors and to maintain stable measurement conditions. The application of an artificial standard instead of real-world objects helps to focus on the instrument/accessory characteristics.


Stocktaking | Entity website

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Stocktaking | Entity website

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Stocktaking | Entity website

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