Kampung Baharu Nilai, Malaysia
Kampung Baharu Nilai, Malaysia

INTI International University, Laureate International Universities is a private university located in Putra Nilai, Negeri Sembilan, about 50 km from the centre of Kuala Lumpur, Malaysia. It was known as INTI University College until 31 May 2010 when the Higher Education Ministry announced its upgrade to university status. It is owned by INTI Education Group which has formalised its partnership with Laureate International Universities in 2008. Programmes offered in IU include pre-university and foundation studies, diploma, degrees , and postgraduate degrees.The name 'inti' coincidentally means 'innermost' in Latin, though the original name was based on the Malay word instead. Wikipedia.


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News Article | November 27, 2016
Site: www.prweb.com

Red Herring announced its Top 100 Global in recognition of the leading private companies from North America, Europe, and Asia, celebrating these startups’ innovations and technologies across their respective industries. Red Herring’s Top 100 Global list has become a mark of distinction for identifying promising companies and entrepreneurs. Red Herring editors were among the first to recognize that companies such as Facebook, Twitter, Google, Yahoo, Skype, Salesforce.com, YouTube, and eBay would change the way we live and work. “Choosing the companies with the strongest potential was by no means a small feat,” said Alex Vieux, publisher and CEO of Red Herring. “After rigorous contemplation and discussion, we narrowed our list down from hundreds of candidates from across the globe to the Top 100 Winners. We believe G-AsiaPacific embodies the vision, drive and innovation that define a successful entrepreneurial venture. G-AsiaPacific should be proud of its accomplishment.” Red Herring’s editorial staff evaluated the companies on both quantitative and qualitative criteria, such as financial performance, technology innovation, management quality, strategy, and market penetration. This assessment of potential is complemented by a review of the track records and standing of startups relative to their peers, allowing Red Herring to see past the “buzz” and make the list a valuable instrument of discovery and advocacy for the most promising new business models from around the world. About G-AsiaPacific Sdn Bhd Established since 2008, G-AsiaPacific is Malaysia’s leading cloud advisory and brokerage specialist representing the three major global cloud brands of Google, Amazon AWS and Microsoft, hence serving as the best-in-class Cloud Agnostic Service Provider. The company has a dedicated team of certified cloud professionals that serves more than 3000 businesses and organizations. Having deployed over 120,000 cloud installations, the company consults and provides all necessary know-how for organisations transitioning from CAPEX-heavy legacy, to OPEX-based cloud systems, delivering optimal support and advisory services as required by a truly premier Cloud partner. G-AsiaPacific provides unique cloud agnostic processes on Google, Amazon AWS and Microsoft platforms which allow companies to move to cloud seamlessly for business transformations. G-AsiaPacific’s end-to-end enterprise cloud offerings include popular Messaging, Collaboration and Communication suite, Advance Office Systems, Enterprise Security, Storage/ Backup, Sales & Marketing, CRM and more to meet the dynamic needs of businesses looking for highly scalable yet economically efficient solutions. G-AsiaPacific is a certified Google Premier Partner for G Suite, a Tier-1 Cloud Service Provider (CSP) for Microsoft, and a Channel Reseller & Managed Services Partner for Amazon Web Services (AWS). Clientele include local household organizations such as AirAsia, SapuraKencana Petroleum, IJM, MBPJ, PKNS, Padini Holdings, The Edge Group, INTI International University, Gamuda Land, Royal Selangor, Berjaya University College, Biotechnology Corporation, Kim Teck Cheng Consolidated, and many more, which have since put their trust in G-AsiaPacific in their cloud transformation journey.


News Article | December 6, 2016
Site: www.prweb.com

G-AsiaPacific today announced that it was awarded Deloitte Technology Fast 500 in Asia Pacific for year 2016, a ranking of the 500 fastest growing technology companies in Asia Pacific. Rankings are based on company’s own proprietary intellectual property (IP) and growth based on audited financial reports over three years period. G-AsiaPacific’s Director/founder, Mark Goh said “ We are very pleased to be recognized as one of the fastest growing companies in Asia Pacific by Deloitte. We would like to thank Deloitte for recognizing our success and this is an evidence that Malaysian companies could thrive on the world stage. Our continued growth year-on-year is a true testament to our team’s commitment and continuous innovation in the local cloud industry and unique intellectual property. We are very honoured to be a part of this prestigious accreditation. We owe our success to our amazing team that are incredibly talented and focused on customer’s success.” “Because Deloitte Technology Fast 500 Asia Pacific measures sustained revenue growth over three years, being one of the 500 fastest growing technology companies in Asia Pacific is an impressive achievement,” said Toshifumi Kusunoki , Deloitte Leader, Deloitte Technology Fast 500 Asia Pacific program. ” G-AsiaPacific deserves a lot of credit for its remarkable growth.” Deloitte Technology Fast 500 Asia Pacific selection and qualifications. The Technology Fast 500 list is compiled from the Deloitte Asia Pacific Technology Fast 50 programs, nominations submitted directly to the Technology Fast 500, and public company database research. To qualify for the Technology Fast 500, entrants must have had base-year operating revenues of at least US$ 50,000. Entrants must also be public or private companies headquartered in Asia Pacific and must be a “technology company,” defined as a technology company that owns proprietary technology that contributes to a significant portion of the company's operating revenues; or manufactures a technology-related product; or devotes a high percentage of effort to the research and development of technology. Using other companies' technology in a unique way does not qualify. About G-AsiaPacific Sdn Bhd Established since 2008, G-AsiaPacific is Malaysia’s leading cloud advisory and cloud consultancy firm representing the three major global cloud brands of Google, Microsoft Cloud and Amazon AWS, hence serving as the best-in-class Cloud Agnostic Service Provider. The company has a dedicated team of certified cloud professionals that serves more than 3000 businesses and organisations. Having deployed over 120,000 cloud installations, the company consults and provides all necessary know-how for organisations transitioning from CAPEX-heavy legacy, to OPEX-based cloud systems, delivering optimal support and advisory services as required by a truly premier Cloud partner. G-AsiaPacific provides unique cloud agnostic processes on Google, Amazon AWS and Microsoft platforms which allow companies to move to cloud seamlessly for business transformations. G-AsiaPacific’s end-to-end enterprise cloud offerings include popular Messaging, Collaboration and Communication suite, Advance Office Systems, Enterprise Security, Storage/ Backup, Sales & Marketing, CRM and more to meet the dynamic needs of businesses looking for highly scalable yet economically efficient solutions. G-AsiaPacific is a certified Google Cloud Premier Partner, a Direct Cloud Service Provider (CSP) for Microsoft, and a Channel Reseller & Managed Services Partner for Amazon Web Services (AWS). Clientele include local household organizations such as AirAsia, SapuraKencana Petroleum, IJM, MBPJ, SPKB, SPNB, PKNS, Padini Holdings, The Edge Group, INTI International University, Gamuda Land, Royal Selangor, Berjaya University College, PKNS, Biotechnology Corporation, Kim Teck Cheng Consolidated, and many more, which have since put their trust in G-AsiaPacific in their cloud transformation journey. About Deloitte Deloitte refers to one or more of Deloitte Touche Tohmatsu Limited, a UK private company limited by guarantee (“DTTL”), its network of member firms, and their related entities. DTTL and each of its member firms are legally separate and independent entities. DTTL (also referred to as “Deloitte Global”) does not provide services to clients. Please see http://www.deloitte.com/about to learn more about our global network of member firms. Deloitte provides audit, consulting, financial advisory, risk advisory, tax and related services to public and private clients spanning multiple industries. Deloitte serves four out of five Fortune Global 500® companies through a globally connected network of member firms in more than 150 countries and territories bringing world-class capabilities, insights, and high-quality service to address clients’ most complex business challenges. To learn more about how Deloitte’s approximately 245,000 professionals make an impact that matters, please connect with us on Facebook, LinkedIn, or Twitter. This communication contains general information only, and none of Deloitte Touche Tohmatsu Limited, its member firms, or their related entities (collectively, the “Deloitte network”) is, by means of this communication, rendering professional advice or services. Before making any decision or taking any action that may affect your finances or your business, you should consult a qualified professional adviser. No entity in the Deloitte network shall be responsible for any loss whatsoever sustained by any person who relies on this communication.


Carver A.,INTI International University
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Year: 2011

Evidence grows that ORM has some problems to overcome in order to escape the charge that it cannot reliably lead, as claimed, to ONF (optimal normal form) relational schemas. Some of that evidence we present here. We also indicate that there is more than one way to address the issue effectively, thus saving ORM's reputation as a generator of fully normalized relational schemas. But of two ways mentioned, the more satisfactory one involves, essentially, ascribing a certain semantics to the idea of "role-playing" in ORM. We show how it would address these issues, and why it is the better approach. © 2011 Springer-Verlag.


Halpin T.,INTI International University
Proceedings - IEEE International Enterprise Distributed Object Computing Workshop, EDOC | Year: 2011

Fact-orientation is a conceptual approach to modeling information systems that captures the facts of interest in natural sentence structures without forcing some aspects to be modeled as attributes of other structures. Its graphical notation for data modeling enables a vast variety of business constraints to be depicted visually, while its formal basis in logic enables models to be transformed into implementation targets for execution. This paper provides a state-of-the-art overview of fact-orientation in general and second-generation Object-Role Modeling (ORM) in particular, highlighting its conceptual and visual support for logic-based modeling, and contrasting it with other data modeling approaches. © 2011 IEEE.


Soonmin H.,INTI International University
Oriental Journal of Chemistry | Year: 2014

Ni3Pb2S2 thin films were prepared by chemical bath deposition method. Here, the objective of this research is to investigate the influence of complexing agent on the properties of films.These films were characterized using atomic force microscopy, UV-Visible spectrophotometery and X-ray diffraction. It was found that the increase in the concentration of tartaric acid, film thickness increased, but, the band gap reduced. For the films prepared using 0.1M of tartaric acid, were found uniform and completely covered with the substrates.


Morgan T.,INTI International University
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Year: 2010

Object Role Modeling (ORM) can be used to produce conceptual models of any scale. Although small examples are often used to illustrate specific points, it is equally possible to produce large models covering extensive business domains. To help users navigate around a large model, the ORM diagram is typically split over several virtual pages. This gives a fairly coarse granularity and it is difficult for users to change the page structure to meet some temporary viewing need. This paper describes an alternative approach that allows objects of lesser interest to be temporarily 'folded' away and 'unfolded' when required. The folding and unfolding can be dynamically controlled by the user, but operates under the control of specific algorithms. Some possible algorithms are discussed and illustrated with examples, and a number of usability issues are raised. © 2010 Springer-Verlag Berlin Heidelberg.


Halpin T.,INTI International University
Lecture Notes in Business Information Processing | Year: 2013

In natural language, one usually refers to objects by means of proper names or definite descriptions. Languages for data modeling and/or ontology modeling vary considerably in their support for such natural reference schemes. An understanding of these differences is important both for modeling reference schemes within such languages and for transforming models from one language to another. This paper provides a critical and comparative review of reference scheme modeling within the Unified Modeling Language (version 2.5), the Barker dialect of Entity Relationship modeling, Object-Role Modeling (version 2), relational database modeling, and the Web Ontology Language (version 2.0). We identify which kinds of reference schemes can be captured within specific languages as well as those reference schemes that cannot be. Our analysis covers simple reference schemes, compound reference schemes, disjunctive reference and context-dependent reference schemes. © 2013 Springer-Verlag.


Curland M.,ORM Solutions | Halpin T.,INTI International University
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Year: 2012

Fact-oriented modeling approaches such as Object-Role Modeling (ORM) validate their models with domain experts by verbalizing the models in natural language, and by populating the relevant fact types with concrete examples. This paper extends previous work on verbalization of ORM models in a number of ways. Firstly, it considers some ways to better ensure that generated verbalizations are unambiguous, including occasional use of lengthier verbalizations that are tied more closely to the underlying logical form. Secondly, it provides improved verbalization patterns for common types of ORM constraints, such as uniqueness and mandatory role constraints. Thirdly, it provides an algorithm for verbalizing external uniqueness and frequency constraints over roles projected from join paths of arbitrary complexity. The paper also includes some discussion of how such verbalization enhancements were recently implemented in the Natural ORM Architect (NORMA) tool. © 2012 Springer-Verlag.


Halpin T.,INTI International University
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Year: 2012

Fact-oriented modeling approaches such as Object-Role Modeling (ORM) and Natural Language Information Analysis Method (NIAM) enable conceptual information models to be expressed using graphical diagrams that may be assigned formal semantics by mapping them onto sets of logical formulae. Various formalizations for such mappings exist. This paper extends such previous work by providing a new approach to formalizing second generation ORM (ORM 2). We show that the metalevel association between semantic value type and data type must be a mapping relationship rather than a subtyping relationship, and we axiomatize a special representation relationship to support this mapping at the instance level. Our new formalization includes coverage of preferred reference schemes and additional constraints introduced in ORM 2. Other issues examined briefly include the use of finite model theory, sorted logic, and practical choices for implementing certain kinds of logical formulae as constraints or derivation rules. © 2012 Springer-Verlag.


Lee S.,Australian Institute for Plasma Focus Studies | Lee S.,INTI International University | Lee S.,University of Malaya
Journal of Fusion Energy | Year: 2014

The code couples the electrical circuit with plasma focus (PF) dynamics, thermodynamics and radiation. It is energy-, charge- and mass-consistent and accounts for the effects of transit times of small disturbances and plasma self-absorption. It has been used in design and interpretation of Mather-type PF experiments and as a complementary facility to provide diagnostic reference numbers in all gases. Information computed includes axial and radial dynamics, SXR emission characteristics and yield for various applications including microelectronics lithography and optimization of machines. Plasma focus neutron yield calculations, current and neutron yield limitations, deterioration of neutron scaling (neutron saturation), radiative collapse, speed-enhanced PF, current-stepped PF and extraction of diagnostic and anomalous resistance data from current signals have been studied using the code; which also produces reference numbers for fluence, flux and energy of deuteron beams and ion beams for all gases. There has been no pause in its continuous evolution in three decades so much so that the model code has no formal source reference except www.plasmafocus.net. This review presents, for the first time a comprehensive up-to-date version of the 5-phase model code. The equations of each phase are derived. Those of the first two phases are normalized to reveal important scaling parameters. The focus pinch phase is discussed with radiation-coupled dynamics necessitating the computation of radiation terms moderated by plasma self-absorption. Neutron and ion beam yields are computed. The 5-phase model code appears to be adequate for all Mather-type PF, lacking only in one aspect that for high inductance PF (termed Type 2) the measured current waveform contains an extended dip which cannot be fitted by the 5-phase code; necessitating an extended 6-phase code. This sixth phase (termed phase 4a) is dominated by anomalous resistance, providing a way to extract valuable data on anomalous resistivity from the current trace. © 2014 Springer Science+Business Media New York.

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