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News Article | April 27, 2017
Site: www.materialstoday.com

Höganäs has opened its new ITEC technologer center based in Pune, India. The new center, built to support customers and to grow and serve the Indian market, features data generation facilities for fatigue and tribology, a water treatment demonstration center and a lab. The technology center will begin as a facility for analysis to give immediate support to customers on site, while ITEC engineers will be available on call to visit customers. ‘There is a great scope for expanding the facilities and our offerings to suit the customer's needs,’ said Melcher Jernberg, CEO and president of Höganäs AB. This story is reprinted from material from Höganäs, with editorial changes made by Materials Today. The views expressed in this article do not necessarily represent those of Elsevier.


SimCentric Technologies will be exhibiting at ITEC in Rotterdam, 16th – 18th May 2017. With vast ongoing global investment in the VBS3 virtual platform including UK MoD (DVS), US Army (GFT) and US Marine Corps (DVTE & ISMT), SimCentric’s value adding VBS3 middleware maximizes the return on this financial and training investment for militaries worldwide. At ITEC, SimCentric will be demonstrating their flagship VBS3 FiresFST Pro enabling full spectrum offensive fires, close air support and UAV vectoring capabilities. Augmenting this is our Ambience pattern of life generation tool enabling unprecedented realism in Collateral Damage Estimation and ROE application. Completing this configuration is our MediaMate smart device live streaming application simulating a UAV Rover 5 ISR feed in a BYOD (Bring Your Own Device) integration. A specific emphasis for ITEC 2017 will be demonstrating how incidents of Coalition fratricide and non-combatant collateral damage can be reduced through VBS3 FiresFST Pro visualization aides and procedural support features. SimCentric will also be demonstrating advanced applications aimed at delivering greater recurring efficiency and systemic flexibility dividends for the VBS3 user community. Our GUIMate Pro application is a development and modelling tool that accelerates the process of building, deploying and maintaining custom GUI content within VBS3. Through this application, significant training liabilities can be reduced through enhancing intuitive proficiency when operating VBS3. SimCentric will also be demonstrating our TrainingMate “virtual classroom” enabling synchronized and instructor enabled VBS3 training instances to be conducted either in a co-located environment, or geographically distributed. CEO SimCentric Dr Adam Easton commented “We are thrilled at the continuing strong adoption and growth of our modular VBS3 integrated software across a worldwide user community. Our fundamental principle is to ensure we understand the overall capability requirement and the training gap that exists, then address this with the right simulation solution. By continuous and collaborative engagement with our customers, we can meet our goal of delivering a solution, not just a product. ” Visit us at ITEC! SimCentric will be exhibiting at ITEC 16th – 18th May 2017 in Rotterdam. Click here https://www.simct.com/contact_us to schedule a demonstration. For more information please visit www.simct.com. For Press or Media enquiries contact tessbutler@ruddynice.com


News Article | April 19, 2017
Site: www.businesswire.com

SUWANEE, Georgia, VS--(BUSINESS WIRE)--Meggitt Training Systems zal de FATS® 100MIL (voorheen de 100ste) benadrukken in stand 43 op de ITEC 2017 in Rotterdam van 16-18 mei 2017. Gebruikmakend van de belangrijkste kenmerken van het US Army Engagement Skills Trainer II-programma voor registratie, biedt de FATS 100MIL een aanzienlijke uitbreiding in virtuele opleidingsmogelijkheden met handvuurwapens. Vertegenwoordigers van het bedrijf zullen gedurende de beurs voor demonstraties van het, voor export gereedstaande product, beschikbaar zijn. “Conventionele en asymmetrische bedreigingen binnen Europa vereisen een steeds strengere training,” aldus Mark Mears, algemeen directeur van Meggitt Training Systems, Ltd. “De FATS 100MIL is de nieuwste trainingsoplossing voor maximaal realisme in een tijdperk van beperkte militaire budgetten.” Meggitt Training Systems, producenten van FATS®- en Caswell-technologieën, een divisie van Meggitt PLC, is de meest vooraanstaande leverancier van geïntegreerde live-fire-trainingssystemen en trainingssystemen voor virtuele wapens. Na de aankoop van FATS® virtuele trainingssystemen en Caswell International's live-fireterreinen en -diensten is Meggitt Training Systems doorgegaan met het uitbreiden van de mogelijkheden gebaseerd op het blijvend resultaat van deze twee brancheleiders. Meer dan 13.000 Meggitt live-fire-terreinen en 5.100 virtuele systemen zijn internationaal in het veld gebracht om beoordelingstraining, training van situationeel bewustzijn en scherpschutterstraining voor de strijdkrachten en ordehandhavings- en veiligheidsorganisaties te bieden. Meggitt Training Systems heeft ruim 400 mensen in dienst op het hoofdkantoor in Atlanta en bij zijn vestigingen in Orlando, Canada, het Verenigd Koninkrijk, Nederland, de VAE, Australië en Singapore. Het bedrijf kan overal ter wereld onderhoudspersoneel inzetten voor instructeurstraining, systeeminstallatie en onderhoud. Meggitt PLC, met hoofdvestiging in het Verenigd Koninkrijk, is een internationale groep die actief is in Noord-Amerika, Europa en Azië. Meggit is bekend om de gespecialiseerde techniek voor extreme omgevingen en wereldmarktleider op het gebied van luchtvaart, defensie en energie. Het bedrijf heeft wereldwijd bijna 11.000 mensen in dienst bij meer dan 50 fabrieksfaciliteiten en regionale kantoren. Deze bekendmaking is officieel geldend in de originele brontaal. Vertalingen zijn slechts als leeshulp bedoeld en moeten worden vergeleken met de tekst in de brontaal, die als enige rechtsgeldig is.


SUWANEE, Ga.--(BUSINESS WIRE)--Meggitt Training Systems presentará su solución FATS® 100MIL (anteriormente llamada 100e) en ITEC 2017 en la caseta 43 en Rotterdam, del 16 al 18 de mayo, 2017. Aprovechando las características clave del programa oficial del ejército de Estados Unidos "Engagement Skills Trainer II", el FATS 100MIL ofrece una ampliación considerable de la capacidad de la formación virtual de armas pequeñas. Los representantes de la empresa estarán disponibles para demostraciones de


Yamamoto M.,ITEC Inc
IEEJ Transactions on Electronics, Information and Systems | Year: 2011

The data generated at a very high rate by sensors and RFIDs are required to be handled by continuous queries keeping real time response. Because of its purpose, DSMSs are used in several cases of these large scale systems. On the other hand, sensor terminal systems include light RDBMSs generally in many cases. So if light RDBMSs can handle the high rate data directly, it is convenient for several applications. This paper proposes a speed-up method of stream processing by using a light RDBMS SQLite without any special modifications. If DSMSs are categorized by performance such as large, medium and small scale, this method aims at a small or medium scale performance. The database performance mainly depends on storage access time, so this proposed method adopts a memory database, a bulk store records technique and parallel processing while taking advantage of multi-core CPU configurations of terminal systems. © 2011 The Institute of Electrical Engineers of Japan.


Wauters K.,ITEC Inc | Wauters K.,Catholic University of Leuven | Desmet P.,ITEC Inc | Desmet P.,Catholic University of Leuven | And 2 more authors.
Journal of Computer Assisted Learning | Year: 2010

The popularity of intelligent tutoring systems (ITSs) is increasing rapidly. In order to make learning environments more efficient, researchers have been exploring the possibility of an automatic adaptation of the learning environment to the learner or the context. One of the possible adaptation techniques is adaptive item sequencing by matching the difficulty of the items to the learner's knowledge level. This is already accomplished to a certain extent in adaptive testing environments, where the test is tailored to the person's ability level by means of the item response theory (IRT). Even though IRT has been a prevalent computerized adaptive test (CAT) approach for decades and applying IRT in item-based ITSs could lead to similar advantages as in CAT (e.g. higher motivation and more efficient learning), research on the application of IRT in such learning environments is highly restricted or absent. The purpose of this paper was to explore the feasibility of applying IRT in adaptive item-based ITSs. Therefore, we discussed the two main challenges associated with IRT application in such learning environments: the challenge of the data set and the challenge of the algorithm. We concluded that applying IRT seems to be a viable solution for adaptive item selection in item-based ITSs provided that some modifications are implemented. Further research should shed more light on the adequacy of the proposed solutions. © 2010 Blackwell Publishing Ltd.


Kitagami S.,MItsubishi Electric | Yamamoto M.,ITEC Inc | Koizumi H.,Tokyo Denki University | Suganuma T.,Tohoku University
Proceedings - 27th International Conference on Advanced Information Networking and Applications Workshops, WAINA 2013 | Year: 2013

Data analysis in a Machine-to-Machine (M2M) service system should concurrently satisfy three requirements, massive data analysis, real-time data analysis, and deep data analysis. However, for this purpose, it is necessary to introduce costly software products such as a Data Stream Management System (DSMS) into M2M service system. In this paper, we propose an M2M data analysis service system using open source software environments, such as SQLite and R, for small-and medium-sized M2M service system. In this study, we evaluate the proposed system based on an application scenario assuming a demand response system smart grid, and extract challenges for the future. © 2013 IEEE.


Yamamoto M.,ITEC Inc
Electronics and Communications in Japan | Year: 2013

The data generated at a very high rate by sensors and RFIDs must be handled by continuous queries that respond in real time. Because of its purpose, DSMSs are used in several cases in these large-scale systems. On the other hand, sensor terminal systems include a light RDBMS generally in many cases. Thus, if a light RDBMS can handle the high-rate data directly, it is convenient for several applications. This paper proposes a method for speeding up stream processing by using a light RDBMS, SQLite, without any special modifications. If DSMSs are categorized by performance such as large-, medium-, and small-scale, this method aims at one with small- or medium-scale performance. The database performance mainly depends on storage access time, so the proposed method adopts a memory database, a bulk storage records technique, and parallel processing while taking advantage of the multicore CPU configurations of terminal systems. © 2013 Wiley Periodicals, Inc.


Vandewaetere M.,ITEC Inc | Vandewaetere M.,Catholic University of Leuven | Desmet P.,ITEC Inc | Desmet P.,Research on French | And 2 more authors.
Computers in Human Behavior | Year: 2011

The development of learner models takes an active part in upcoming adaptive learning environments. The purpose of learner models is to drive personalization based on learner and learning characteristics that are considered as important for the learning process, such as cognitive, affective and behavioral variables. Despite the huge amount of theoretical propositions of learner characteristics considered as relevant for learner models, practical payoffs are rather sparse. This study aims to overview the empirical research on the mere value of learner models in the development of adaptive learning environments. The results show that a lot of high-quality studies are situated in a rather shattered research field, building few bridges from theory to practice. We conclude with the call for a theory or framework integrating current and past research results that is able to guide theory-based and systematic empirical research having concrete hypotheses on the merits of learner characteristics in adaptive learning environments. © 2010 Elsevier Ltd. All rights reserved.


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