Dear all,

On behalf of the committee of the IEEE R10 Humanitarian Technology Conference 2019 (IEEE R10 HTC 2019), I am very pleased to have the honor of inviting you to participate on our technical tutorial track that will be conducted in conjunction with HTC 2019.

It will be conducted at:

Felfest UI Faculty Club, Depok, West Java, Indonesia

November 12th 2019, 8 am – 5 pm

There will four (4) tutorial topics as follow

  1. Green Communication, by Prof. Dr. Mohamad Yusoff bin Alias
  2. Video Analytics for Surveillance IoT Applications, by Assoc. Prof. Dr. Supavadee Armvith
  3. Imaging for Life Science, by Hermawan Nugroho PhD
  4. IoT for Agriculture: Urban Lifestyle Farming: A Future Trend of Agriculture in Urban Areas, by Dr Sri Wahjuni and Dr Karlisa

Please register your participation at: not later than November 3rd 2019

*Certificate is provided

Registration Fee

Conference Participants: FREE

Non-Conference Participant

  • Local: IDR 300.000
  • International: $22

Registration Transfer


Account Number: 3070029239

Bank Name: Bank Muamalat



Green Communications

Prof. Dr. Mohamad Yusoff bin Alias

Electrical Engineering Department, Multimedia University, Malaysia

The demand for better wireless connectivity has created an evolution towards improvement of cellular network thus the evolution towards fifth generation (5G) cellular system. However, the increase in wireless usage also resulted in a greater energy consumption in the mobile network and consequently higher amount of carbon dioxide emissions into the environment and an increase exposure to harmful radiations. To tackle the health and environmental issues, one of the important concept is the movement towards green communication. The tutorial will be looking at different aspects for green communication especially in the deployment of 5G for example in terms of spectrum sharing, massive MIMO, internet of Things (IoT), millimetre wave, device-to-device (D2D) communications and many more.


Video Analytics for Surveillance IoT Applications

Assoc. Prof. Dr. Supavadee Aramvith

Department of Electrical Engineering

Chulalongkorn University, Thailand


In this talk, we will present and discuss the current trends and researches in video analytics.  As surveillance cameras have been widely installed worldwide, although the main purpose of those cameras is for monitoring, but the most important task is to be able to analyze video contents and extract useful information. Several on-going researches such as image super resolution, real-time multiple face recognition system, video anomaly detection and several implementations of embedded video analytic system on FPGA and Single Board Computers will be discussed. Some possible scenarios of utilizing video analytics and IoT for humanitarian technology application will also be mentioned.


IoT for Agriculture

Urban Lifestyle Farming: A Future Trend of Agriculture in Urban Areas

Dr Sri Wahjuni & Dr Karlisa Priandana

Computer Science, IPB Indonesia


Increasing urbanization and limited land in urban areas have triggered the development of an efficient less-land agricultural model. In addition, the increasing busyness of a person especially in urban areas encourages the need for automated farming. Two models of agriculture that are efficient in land use are hydroponics and vertical farming. In the hydroponic farming model, all nutrient availability depends only on the nutrients mixed in the irrigation water, which becomes the most important parameter in hydroponic plant growth. For vertical farming based on planting media, in addition to the availability of nutrition, the condition of the planting media is also an important parameter to consider. This tutorial will discuss modern ways of farming by utilizing narrow land, equipped with sensor-based Internet of Things (IoT) technology for automatic nutrient control and real-time monitoring of planting media condition. For hydroponic farming models that use water-based planting media, a dissolved solid (TDS) and pH sensor are used to automatically control the nutrient content in the irrigation water. As for the vertical farming model, soil moisture sensors are used to detect the level of water sufficiency in the planting media so that precise irrigation can be done automatically. To facilitate remote monitoring, conditions of nutrient availability and planting media are sent in real-time to users through a mobile-based application that has an automated notification system. We call this system an urban lifestyle farming: a future trend of agriculture in urban areas.


Imaging for Life

Hermawan Nugroho., PhD

Electrical Engineering Department, Nottingham University


Medical imaging has brought revolutionary changes to medical diagnostic field.  Various imaging modalities such as x-ray, ultrasound and computed tomography are widely used for imaging internal tissue organs whereas magnetic resonance imaging (MRI) are used for structural and molecular change measurement.

The analysis of biomedical surface in the other hand is the most prominent analysis used by medical practitioner to the diagnosis, detection, and monitoring of skin conditions and disease.  Written from an engineer’s perspective, the presentation discusses some image acquisition methods, image processing, and pattern recognition techniques and considers interventional and non-invasive procedures used to diagnose skin-related disease.

In the second part of the presentation, we look at the recent development on Internet-of-Things (IoT) deployment.  IoT deployment is already prevalent at this moment of the Fourth Industrial Revolution. However, there are certain applications in the industry such as for health where latency represents an important factor. Currently, the common paradigm of IoT architectures follow cloud centric IoT architectures (CloT) where data accumulated by sensors are sent to a distant cloud infrastructure which provide high computational resources to be processed and analyzed. This method can leverage costs and high resource consumption at the cost of introducing additional latency across far away centralized systems. However, this computing paradigm faces an issue for latency-sensitive applications. The second presentation will explore the idea of extending the cloud computing architecture to the very edge of the network at the end devices itself and carries out distributed computing in that vicinity.