Deep Learning is a branch of artificial intelligence (AI) stemming from the abstraction of the functioning of brain cells.

The concept of Deep learning is analogous to the way a child learns about new objects/ things, namely through observations and the tweaking of the parameters of neural networks. Presently, the vast and affordable availability of computing power together with the availability of large volumes of data have surfaced earlier dormant neural networks to limelight.

This gentle unveiling of deep learning will introduce to the audience fundamental concepts of neural networks and illustrate the principles of operation of a simple neural network using the Python programming language.

The presentation will introduce the convolutional neural network (CNN) and will illustrate the coding of CNN using the keras framework in Python Programming.

As this Talk is only a basic introduction to deep learning and is suited for anybody who has an interest in deep learning, experience with Python coding is not necessary but useful.

IES Electrical, Electronics and Computer Engineering Technical Committee (EECETC) and Singapore Polytechnic proudly present: "Building an IoT Project". [In Singapore, Internet-of-Things (IoT) technologies are set to play a key role in the city-state's digitalization push and Smart Nation plan. IoT refers to a network of Internet-connected physical objects, vehicles, buildings and other items embedded with sensors, electronics, and software. These objects are able to collect data without requiring human-to-human or human-to-computer interaction. Examples of objects that can fall into the scope of IoT include connected security systems, thermostats, cars, electronic appliances, vending machines and more. Businesses and individuals can leverage IoT applications to automate tasks, such as notify authorities when a fire extinguisher in a building is blocked, or automatically adjust a room's AC.]

CPD/ PDU: 3 (three) PDUs PEB PEs and IES CEngs (Approved/ Confirmed for all engineering branches/ disciplines and/ or engineering branches/ disciplines listed in http://charteredengineers.sg/branches/). (Accreditation of CPD PDU for IES Chartered Engineer (C.Eng)/ Attendee will be duly accredited/ awarded correspondingly/ similarly to those approved/ confirmed by PEB.)

1.Included in this talk are pointers, which have come to my mind based on my years experience and involvement in contracts of construction projects in Singapore and Malaysia. It is not my intention to discuss everything and every issue that one may come across in contracting of construction projects. Pointers given confine only to those issues and things that some practitioners seem to have overlooked, ignored or have not given due regard and attention to. Many of these issues and things are so simple and obvious and yet appear not to have caught the attention of some practitioners of the construction industry. It is not denied that more pointers could have been included. I have not done so because, I take cognisance of the fact that ways to contract construction projects are very much influenced and controlled by human behaviours, how the human mind works, and business practices of contracting parties, all of these are again dependent very much on contracting parties cultural background, business policy as well as strategy, traditional modus operandi, and the era circumstances and environment the contract is performed. Furthermore, a human mind could work in such a way that it could be beyond the imagination of ordinary people. I am an ordinary person. Giving due regard to the aforesaid, there could be no end to the list of pointers. Hence, I have therefore decided that pointers I will be discussing should confine to those related to only common issues and matters. Some pointers given herein may appear to be repetitions. It is really not so because, the issues and matters involved are somewhat related but different.2.It should also be noted that many pointers given herein involve not just one member of the project team [PT] (comprising the contracting parties, project professional consultant and the contract administrator) but all of them.3.It should be noted further that all opinions stated in these notes are mine, and NOT those of the organiser of this course, or any of his affiliated organisations.

IES Electrical, Electronics and Computer Engineering Technical Committee (EECETC) and Singapore Institute of Technology (SIT) proudly present: "Efficient Development for Robust Systems Using Virtual Prototypes and Multi-Level Processors Models".

Robustness and reliability of Integrated Circuits (ICs) is essential for many important applications of ICs such as automotive or industrial control. At the same time, pressures on time to market and cost keep increasing. System-level design methodologies are therefore increasingly being utilized. Virtual Prototypes are valuable for fast system simulation, also allowing for concurrent development of hardware (HW) and Firmware / Software (FW/SW). Fault injection is an essential technique to verify integrated systems.In this Talk, Professor Dr.-Ing. Ulf Schlichtmann will describe the basic concept of Virtual Prototypes. Professor Schlichtmann will discuss how multi-level processor models enable an efficient combination of accuracy and performance in fault injection. Fault injection can also be extended to FW/SW in addition to HW. Cross-layer techniques are valuable in evaluating the robustness of complex integrated systems.The research described in this talk has mostly been developed in the context of large-scale public funded research projects in Germany, related to both industry 4.0 and automotive industry.

Development projects are increasingly demanding as the clients becomes more sophisticated and requires their project to be built with better productivity and sustainability. At the same time, over the years there has being a gradual accumulation of practical experience around the world on specific methods of construction like prefabricated-prefinished volumetric construction (PPVC) and materials like self-compacting concrete (SCC) and cross laminated timber (CLT).

IES EECETC and SUTD proudly present, and supported by Singapore Medical Association (SMA) --- The new era of healthcare ushered in by wide adoption of intelligent technologies has been rapidly changing. Artificial intelligence, smart sensors and Internet of Things (IoT) are among the most active and emerging trends in revolutionizing traditional healthcare systems. Technologies such as high performance processors and wearable body sensor networks have enabled us to turn dreams into reality.We are witnessing how advances in technologies are being leveraged by the healthcare sector to create smart health systems, and by the government to foster the deployment of smart city. This Talk aims to bring the audience the latest development in smart health where emerging technologies are adopted and implemented.Several studies conducted in Singapore General Hospital will be showcased, for example, cardiovascular risk stratification using intelligent wearable system for ECG analysis and processing. Further, challenges and opportunities in hardware innovation in the era of smart health will be discussed.

Together Shaping Singapore's Future of Mobility: The rising of the Connected and Autonomous Vehicles (CAV) is part of the bigger plan to increase connectivity in our multi-modal transportation system and to improve the safety and efficiency of road travel. It will revolutionize the way commuters use vehicles and operators provide services. It will also transform the environment in which it operates. It does come with challenges such as creating a robust IT infrastructure to process and protect the huge volume of data.

Jointly-organised by IES EECETC and SUTD. In this Talk, research on the design and development of artificial intelligence (AI)-based systems with autonomous learning properties will be presented. Specifically, a variety of AI-based learning methodologies, which include neural networks, fuzzy systems, and evolutionary algorithms, for data modelling, inference with human linguistic knowledge, and multi-objective optimisation, will be explained.

Safety in construction sites is of paramount importance not only to protect oneself but also to ensure safety for fellow site personnel on site. This programme is for stakeholders in construction projects (Resident Engineers, Resident Technical Officers, Site Supervisors etc) and it discusses essential concepts for construction safety of the various site operations commonly executed in a construction project. It also explains hazard identification and control for daily site activities.Participants will be able to supervise and/or carry out daily site operations with a focus on safety. They are able to identify hazards related to various site activities and take steps to control risks arising from such hazards.

http://www.icias.org/index.html

The Conference will be held from 1 to 3 March, 2018 in Singapore. The theme of ICoIAS2018 is Advancing the Frontier of Intelligent Autonomous Systems, reflecting the ever growing interests in research, development and applications in the dynamic and exciting areas of Intelligent Autonomous Systems (IAS).

The ICoIAS2018 will provide a premier interdisciplinary platform for scientists, researchers, engineers, practitioners and educators to present and discuss the most recent innovations, trends and concerns as well as practical challenges encountered and solutions adopted in the field of IAS.

The ICoIAS2018 is technically sponsored by IEEE System, Man and Cybernetics (SMC) Singapore Chapter and The Institution of Engineers, Singapore (IES) Electrical, Electronics and Computer Engineering Technical Committee (EECETC).