Andrew TerhorstThe Commonwealth Scientific and Industrial Research Organisation | CSIRO · Data61
Andrew Terhorst
Doctor of Philosophy
About
34
Publications
3,973
Reads
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391
Citations
Citations since 2017
Introduction
Andrew Terhorst currently works at the Commonwealth Scientific and Industrial Research Organisation. Andrew is a social network analyst specialising in open innovation, value chain analysis, and natural language processing. Previous research interests include marine geoscience, remote sensing and geographical information systems, and geoinformatics. Andrew's eclectic background reflects his innate curiosity and ability to adapt.
Additional affiliations
July 2014 - present
July 2011 - June 2013
April 2004 - March 2007
Publications
Publications (34)
Terrestrial analogues can provide essential scientific information and technology validation to assist future crewed missions to the Martian surface. This paper analyses the recent literature since 2010 in this area, highlighting key topics, authors, and research groups. It reviews analogue locations, missions, the scientific impact from research a...
Objectives:
To conduct a systematic survey of published techniques for automated diagnosis and prognosis of COVID-19 diseases using medical imaging, assessing the validity of reported performance and investigating the proposed clinical use-case. To conduct a scoping review into the authors publishing such work.
Methods:
The Scopus database was q...
CONTEXT
Public and private research institutions are grappling with the challenges and opportunities of embedding dimensions of responsible innovation within their research and development programs, including those seeking to transform agricultural productivity and sustainability through digital technologies. Central to meeting this challenge is bu...
Tacit knowledge is considered critical to the success of open innovation projects, yet little is known about the factors that promote or impede tacit knowledge sharing in such projects. This article uses exponential random graph modeling to examine both tacit and explicit knowledge sharing in two early-stage open innovation projects. Results indica...
Recent advances in distributed information technologies are providing the means to capture and process abundant data, and to reveal associations between variables describing the crop-environment-management interaction. This review describes the determinants and moderating factors influencing how much value a crop producer and his or her advisor can...
In this paper an autonomous feature clustering framework has been proposed for performance and reliability evaluation of an environmental sensor network. Environmental time series were statistically preprocessed to extract multiple semantic features. A novel hybrid clustering framework was designed based on Principal Component Analysis (PCA), Guide...
This study combines soil moisture capacitance probes and cosmic-ray neutron probe with a Fuzzy Inference System to estimate variability of soil moisture in a ~28 ha circle over time. The technique demonstrates that the cosmic-ray neutron probe’s average neutron count and a network of capacitance probes may be useful for estimating spatial and tempo...
With the increasing complexity of hydrologic problems, data collection and data analysis are often carried out in distributed heterogeneous systems. Therefore it is critical for users to determine the origin of data and its trustworthiness. Provenance describes the information life cycle of data products. It has been recognised as one of the most p...
One of the biggest obstacles to reuse of third-party sensor data is a lack of knowledge about data properties (e. g., provenance and quality) leading to a lack of trust in the data. Link My Data (lms) is a first step towards overcoming this problem. lms provides a platform for data curation that allows users to share knowledge about individual sens...
This paper investigates novel supervised machine learning (SML) techniques for bulk soil moisture estimation using cosmic ray sensor. The cosmic ray soil moisture measuring probes are deployed across Australia as a part of CosmOz sensor network. These probes are brand new sensing technology still evaluated. The primary purpose of this paper is to f...
Within this extended abstract we describe a data set of provenance traces that we collected over the past two years for a continuous streamflow forecast in the South Esk river catchment in Tasmania, Australia.
Ongoing robotic systems are primarily under- taken by large organisations and are closed sys- tems. We describe an extension to the cloud robotics concept that encourages reuse of sen- sor data collected from robots and sensor net- works, and eases the economic and technical burden on small industry and government or- ganisations. This paper descri...
This paper investigates a novel technique based on Fuzzy C means (FCM) algorithm and Adaptive Neuro-Fuzzy Inference System (ANFIS) to estimate soil moisture using cosmic ray soil moisture probes deployed across Australia. These probes are a brand new sensing technology still being evaluated. Preliminary results indicate ANFIS is able to estimate so...
An ever-increasing number of sensor resources are being exposed via the World Wide Web to become part of the Digital Earth. Discovery, selection and use of these sensors and their observations require a robust sensor information model, but the consistent description of sensor metadata is a complex and difficult task. Currently, the only available r...
Trust is a crucial aspect for open distributed systems. Especially as users may rely on the shared services to make important decisions, it is essential to let them know services' trustworthiness. Provenance describes the origins and processes that are related to the generation of services. It can greatly enhance transparency and accountability of...
The rapid growth in sensor and ubiquitous device deployments has resulted in an explosion in the availability of data. The
concept of the Sensor Web has provided a web-based information sharing platform to allow different organisations to share
their sensor offerings. We compare the Open Geospatial Consortium - Sensor Web Enablement(OGC-SWE) with M...
In order for the Bureau of Meteorology (BOM), Australia, to build and maintain an integrated national water information system, over 240 organisations are required to provide their data to BOM. These organisations use a wide range of systems and data formats. To ensure robust and reliable data delivery, BOM has established Water Data Transfer Forma...
Generating hydrological data products, such as flow forecasts, involves complex interactions among instruments, data simulation models, computational facilities and data providers. Correct interpretation of the data produced at various stages requires good understanding of how data was generated or processed. Provenance describes the lineage of a d...
Leading mobile telecommunications vendors are continually looking at innovative ways to exploit their technology. Sensor networking is an application receiving much attention from these vendors, including Nokia and Siemens. The Commonwealth Scientific and Industrial Research Organisation (CSIRO) has, together with students from the University of Ta...
The sensor Web is a distributed sensing system in which information is shared globally. The emergence of this technology will enable the integration of different sensing platforms with temporal and spatial variability. This has a potential to revolutionise hydrological monitoring and forecasting. Our project will establish a sensor Web test bed in...
The technological demands required to successfully practice either targeted
irrigation control and/or deficit irrigation strategies are currently reliant on
numerical models which are often underutilised due to their complexity and low
operational focus. A simple and practical real-time control system is proposed
using a model-data fusion approach,...
Australia is facing a severe water shortage due to below-average rainfall received over the past decade. The agricultural industry is significantly affected by this shortage due to its high water demands. It is important to adopt changes in agricultural practices and employ innovative ideas for the agricultural industry to maintain its current rate...
The Advanced Fire Information System (AFIS) is a joint initiative between CSIR and Eskom, the South African electricity utility.
AFIS infers fire occurrences from processed, remotely sensed data and triggers alarms to Eskom operators based on the proximity
of fire events to Eskom's infrastructure. We intend on migrating AFIS from a narrowly focusse...
Key concepts in disaster response are level of preparedness, response times, sustaining the response and coordinating the
response. Effective disaster response requires a well-developed command and control framework that promotes the flow of information.
The Sensor Web is an emerging technology concept that can enhance the tempo of disaster respons...
Key concepts in disaster response are level of preparedness, response times, sustaining the response and coordinating the response. Effective disaster response requires a well-developed command and control framework that promotes the flow of information. The Sensor Web is an emerging technology concept that can enhance the tempo of disaster respons...
2006 International semantic web conference AFIS (Advanced Fire Information System) is a joint initiative between CSIR and Eskom, the South African electricity utility. AFIS infers fire occurrences from processed remotely sensed data and triggers alarms to Eskom operators based on proximity of fire events to Eskom infrastructure. Authors intend migr...
2006 SAEON Summit Understanding the behaviour of ecosystems requires persistent and multi-modal observation. Advances in sensor technology and distributed computing, coupled with the development of open standards that facilitate sensor/sensor network interoperability, are contributing to the emergence of a phenomenon known as "Sensor Web". This phe...
Questions
Questions (2)
I am doing a socio-centric network analysis. I have a list of names and associated email addresses. Everybody on this list will be invited to participate in an online survey. Respondents will be asked to select names from the list they have specific types of social relations with (name-generator question). For each selected name, respondents will be asked to describe something about that social relationship with that person using a 5 or 7 point Likert scale (name interpreter question(s)). I am struggling to find an easy to use online tool that does this. Any suggestions?
NVivo seems interesting. Anybody have experience of this tool? What is the learning curve like?
Projects
Project (1)
Explore how psychological and social factors shape the development of absorptive capacity in open innovation.
