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Dive into the research topics where Hoon Kiang Tan is active.

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Featured researches published by Hoon Kiang Tan.


conference on automation science and engineering | 2016

Automated identification of components in raster piping and instrumentation diagram with minimal pre-processing

Wei Chian Tan; I-Ming Chen; Hoon Kiang Tan

This paper proposes a novel framework for automated recognition of components in a Piping and Instrumentation Diagram (P&ID) of raster form. Contour is used as the main clue for visual recognition through the use of Local Binary Pattern (LBP) as descriptor and concept of Spatial Pyramid Matching (SPM). Comparison of two image patches is done by calculating the l1 distance between two corresponding LBP based descriptors. Firstly, the framework requires at least one example image per type of component to be recognised, the corresponding LBP and SPM based descriptor is determined and stored. Linear sliding window approach is used to detect a small set of top candidates from a pool of all sub-images in original image. Verification against the entire library of symbols is performed on each candidate selected from previous stage, using concept of nearest neighbour based classification. The method has demonstrated state of the art performance in a new challenging dataset created with advices from a group of experienced engineers in marine and offshore industry.


conference on automation science and engineering | 2016

Automated design evaluation on layout of Piping and Instrumentation Diagram using Histogram of Connectivity

Wei Chian Tan; I-Ming Chen; Sinno Jialin Pan; Hoon Kiang Tan

An autonomous framework to evaluate layout of a Piping and Instrumentation Diagram (also known as P&ID or piping design) according to a set of standards of marine and offshore industry is proposed. The method starts with transforming layout of a P&ID into a vector x in Rd. Transformation is done based on a novel concept developed for piping design known as Histogram of Connectivity (HoC). The proposed descriptor captures two essential properties of piping design: attributes of each component and connectivity among the components. Next, linear Support Vector Machine (SVM) is used to learn from existing compliant and non-compliant designs. Subsequently, the linear classifier can be used to check if an unseen design complies with the standards, hence achieving the aim of checking compliance of layout of a piping design. The method has demonstrated state of the art performance in a challenging dataset of designs created with advices from experienced engineers in marine and offshore industry, based on International Convention for the Prevention of Pollution from Ships (MARPOL).


Ocean Engineering | 2018

A review of offshore decommissioning regulations in five countries – Strengths and weaknesses

M.L. Fam; Dimitrios Konovessis; L.S. Ong; Hoon Kiang Tan

Abstract The decommissioning of offshore structures around the world will be a persisting problem in the coming decades as many structures will exceed their shelf life, or when reservoirs are no longer productive. This paper examines an overview of the global offshore decommissioning legal regime, and a summary of regulations in countries that are deemed to be more experienced in decommissioning such as the UK, Norway and USA. Two oil-producing countries in South East Asia, Malaysia and Thailand are also reviewed to identify potential gaps in decommissioning legislation for countries in its infancy in decommissioning. The differences were identified in terms of decommissioning preparation, decommissioning technical execution, additional environmental requirements and financial security framework. In conclusion, the majority of the regulations covering the technical section are similar within all countries studied. Major differences lie in two overarching philosophies of the framework – a prescriptive regime versus a goal-setting regime. Other decommissioning aspects appear to attract increasing attention, such as in expanding clarity on in situ decommissioning, residual liabilities, optimising finance related issues of decommissioning and offshore to onshore waste movement. These gaps in the existing framework can be filled by taking an evidence-based stand in developing the framework.


Journal of Natural Gas Science and Engineering | 2016

Review of gas hydrate dissociation kinetic models for energy recovery

Zhenyuan Yin; Zheng Rong Chong; Hoon Kiang Tan; Praveen Linga


Industrial & Engineering Chemistry Research | 2017

Numerical Analysis of Experiments on Thermally Induced Dissociation of Methane Hydrates in Porous Media

Zhenyuan Yin; George J. Moridis; Zheng Rong Chong; Hoon Kiang Tan; Praveen Linga


Applied Energy | 2018

Numerical analysis of experimental studies of methane hydrate formation in a sandy porous medium

Zhenyuan Yin; George J. Moridis; Hoon Kiang Tan; Praveen Linga


Chemical Engineering Journal | 2018

A review of gas hydrate growth kinetic models

Zhenyuan Yin; Maninder Khurana; Hoon Kiang Tan; Praveen Linga


ASME 2017 36th International Conference on Ocean, Offshore and Arctic Engineering | 2017

A Review of Offshore Decommissioning Regulations in Three Countries: Strengths and Weaknesses

Mei Ling Fam; Hoon Kiang Tan; Dimitrios Konovessis; Lin Seng Ong


Offshore Technology Conference Asia | 2018

Numerical Modelling of Methane Hydrate Dissociation in Sandy Porous Media by Depressurization with a Parametric Study

Zhenyuan Yin; George J. Moridis; Hoon Kiang Tan; Praveen Linga


Offshore Technology Conference Asia | 2018

Software for Automated Visual Assessment of Coating Damage

Wei Chian Tan; I-Ming Chen; Phoi Chin Goh; Hoon Kiang Tan

Collaboration


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I-Ming Chen

Nanyang Technological University

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Praveen Linga

National University of Singapore

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Zhenyuan Yin

National University of Singapore

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Wei Chian Tan

Nanyang Technological University

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Zheng Rong Chong

National University of Singapore

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Dimitrios Konovessis

Nanyang Technological University

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Sinno Jialin Pan

Nanyang Technological University

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Albert Causo

Nanyang Technological University

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