scholarly journals Using harvester data from on-board computers: a review of key findings, opportunities and challenges

2020 ◽  
Author(s):  
Julia Kemmerer ◽  
Eric R. Labelle
Keyword(s):  
Web Of Science ◽  
Time Study ◽  
Data Types ◽  
Research And Practice ◽  
Challenges And Opportunities ◽  
Position Data ◽  
Time Position ◽  
Forest Supply Chain ◽  
Complex Architecture ◽  
Forest Operation

Abstract Single-grip harvesters are equipped with an on-board computer that can normally collect standardized data. In times of increased mechanization, digitalization and climate change, use of this extensive data could provide a solution for better managing calamities-outbreaks and gaining competitiveness. Because it remains unclear in which way harvester data can contribute to this and optimization of the forest supply chain, the focus of this review was to provide a synopsis of how harvester data can be used and present the main challenges and opportunities associated with their use. The systematic literature review was performed with Scopus and Web of Science in the period from 1993 to 2019. Harvester data in form of length and diameter measurements, time, position and fuel data were used in the fields of bucking, time study, inventory and forest operation management. Specifically, harvester data can be used for predicting stand, tree and stem parameters or improving and evaluating the bucking. Another field of application is to evaluate their performance and precision in comparison to other time study methods. Harvester data has a broad range of application, which offers great possibilities for research and practice. Despite these advantages, a lack of precision for certain data types (length and diameter), particularly for trees exhibiting complex architecture where the contact of the measuring wheel on the harvesting head to the wooden body cannot be maintained, and position data, due to signal deflection, should be kept in mind.

A Review of the Benefits and Barriers to Postsecondary Education for Students With Intellectual and Developmental Disabilities

2021 ◽  
pp. 002246692110133
Author(s):  
Chung Eun Lee ◽  
Julie Lounds Taylor
Keyword(s):  
Developmental Disabilities ◽  
Postsecondary Education ◽  
Scoping Review ◽  
Reference Lists ◽  
Web Of Science ◽  
Educational Programs ◽  
Intellectual And Developmental Disabilities ◽  
Inclusion Criteria ◽  
Research And Practice ◽  
Program Engagement

Postsecondary educational programs (PSEs) are increasingly an option for students with intellectual and developmental disabilities (IDD). This scoping review synthesized research to understand the impacts of these programs for students with IDD and for campus, and barriers to these programs across stages of engagement (exploration, participation, completion). Studies were identified by searching PubMed, PsycINFO, ERIC, and Web of Science databases and reference lists of included articles. Twenty-one studies met inclusion criteria. Multiple benefits were identified for students with IDD and campus. Persistent barriers across all stages of program engagement included lack of funding and lack of collaboration. Barriers specific to stages included lack of knowledge, options, individualized support, integration into campus, and transportation. Implications for research and practice are discussed.

scholarly journals 7th ICSDAP Conference in Bangladesh: Some Experiences and Reflections for the Way Forward

2020 ◽  
Vol 2 (2) ◽  
pp. 273-282
Author(s):  
Asok Kumar Sarkar ◽  
Mamunur Rahman ◽  
Manohar Pawar
Keyword(s):  
Social Development ◽  
Capacity Building ◽  
Critical Examination ◽  
Research And Practice ◽  
Challenges And Opportunities ◽  
The Way

In the light of the unique experiences of the 7th ICSDAP Conference, this article includes a brief background, details of activities, challenges and opportunities, and outputs and outcomes. Our experiences and reflections suggest that organising international conferences to bring social development scholars together to deliberate on mutual areas of research and practice interests undoubtedly contributes to critical examination and dissemination of knowledge, at least to some extent. In addition, what is equally important, the process and experience of organising conferences appear to enhance our and host organisation’s learning and capacity-building, yielding benefit for everyone to build a better future by overcoming all the odds.

scholarly journals Hawaii as a Microcosm: Advancing the Science and Practice of Managing Introduced and Invasive Species

BioScience ◽  
2020 ◽  
Vol 70 (2) ◽  
pp. 184-193
Author(s):  
Liba Pejchar ◽  
Christopher A Lepczyk ◽  
Jean E Fantle-Lepczyk ◽  
Steven C Hess ◽  
M Tracy Johnson ◽  
...  
Keyword(s):  
Invasive Species ◽  
Lessons Learned ◽  
Disease Vectors ◽  
Research Needs ◽  
Important Research ◽  
Structured Decision Making ◽  
Research And Practice ◽  
Genomic Tools ◽  
Challenges And Opportunities ◽  
Nontraditional Funding

Abstract Invasive species are a leading driver of global change, with consequences for biodiversity and society. Because of extraordinary rates of endemism, introduction, and extinction, Hawaii offers a rich platform for exploring the cross-disciplinary challenges of managing invasive species in a dynamic world. We highlight key successes and shortcomings to share lessons learned and inspire innovation and action in and beyond the archipelago. We then discuss thematic challenges and opportunities of broad relevance to invaded ecosystems and human communities. Important research needs and possible actions include eradicating mammals from mainland island sanctuaries, assessing hidden threats from poorly known introduced species, harnessing genomic tools to eradicate disease vectors, structured decision-making to achieve common objectives among diverse stakeholders, and enhancing capacity through nontraditional funding streams and progressive legislation. By shining a spotlight on invasive species at the front lines in Hawaii, we hope to catalyze strategic research and practice to help inform scientists and policymakers.

scholarly journals Text mining analysis roadmap (TMAR) for service research

2020 ◽  
Vol 34 (1) ◽  
pp. 30-47 ◽  
Author(s):  
Mohamed Zaki ◽  
Janet R. McColl-Kennedy
Keyword(s):  
Machine Learning ◽  
Text Mining ◽  
Design Methodology ◽  
Data Sources ◽  
Theory Testing ◽  
Service Research ◽  
Data Types ◽  
Content Type ◽  
Research And Practice ◽  
Mining Methods

Purpose The purpose of this paper is to offer a step-by-step text mining analysis roadmap (TMAR) for service researchers. The paper provides guidance on how to choose between alternative tools, using illustrative examples from a range of business contexts. Design/methodology/approach The authors provide a six-stage TMAR on how to use text mining methods in practice. At each stage, the authors provide a guiding question, articulate the aim, identify a range of methods and demonstrate how machine learning and linguistic techniques can be used in practice with illustrative examples drawn from business, from an array of data types, services and contexts. Findings At each of the six stages, this paper demonstrates useful insights that result from the text mining techniques to provide an in-depth understanding of the phenomenon and actionable insights for research and practice. Originality/value There is little research to guide scholars and practitioners on how to gain insights from the extensive “big data” that arises from the different data sources. In a first, this paper addresses this important gap highlighting the advantages of using text mining to gain useful insights for theory testing and practice in different service contexts.

Developments in Psychometric Population Models for Technology-Based Large-Scale Assessments: An Overview of Challenges and Opportunities

2019 ◽  
Vol 44 (6) ◽  
pp. 671-705 ◽  
Author(s):  
Matthias von Davier ◽  
Lale Khorramdel ◽  
Qiwei He ◽  
Hyo Jeong Shin ◽  
Haiwen Chen
Keyword(s):  
Test Scores ◽  
Large Scale ◽  
Population Models ◽  
Data Types ◽  
Challenges And Opportunities ◽  
Computer Based ◽  
Complex Test ◽  
Large Scale Assessments ◽  
Item Types ◽  
Latent Regression

International large-scale assessments (ILSAs) transitioned from paper-based assessments to computer-based assessments (CBAs) facilitating the use of new item types and more effective data collection tools. This allows implementation of more complex test designs and to collect process and response time (RT) data. These new data types can be used to improve data quality and the accuracy of test scores obtained through latent regression (population) models. However, the move to a CBA also poses challenges for comparability and trend measurement, one of the major goals in ISLAs. We provide an overview of current methods used in ILSAs to examine and assure the comparability of data across different assessment modes and methods that improve the accuracy of test scores by making use of new data types provided by a CBA.

scholarly journals Human-Centered Recommender Systems: Origins, Advances, Challenges, and Opportunities

AI Magazine ◽  
2021 ◽  
Vol 42 (3) ◽  
pp. 31-42
Author(s):  
Joseph Konstan ◽  
Loren Terveen
Keyword(s):  
Machine Learning ◽  
Recommender Systems ◽  
Human Performance ◽  
Optimization Techniques ◽  
Research And Practice ◽  
Systems Research ◽  
Challenges And Opportunities ◽  
Human Decision ◽  
Performance Statistics ◽  
System Designs

From the earliest days of the field, Recommender Systems research and practice has struggled to balance and integrate approaches that focus on recommendation as a machine learning or missing-value problem with ones that focus on machine learning as a discovery tool and perhaps persuasion platform. In this article, we review 25 years of recommender systems research from a human-centered perspective, looking at the interface and algorithm studies that advanced our understanding of how system designs can be tailored to users objectives and needs. At the same time, we show how external factors, including commercialization and technology developments, have shaped research on human-centered recommender systems. We show how several unifying frameworks have helped developers and researchers alike incorporate thinking about user experience and human decision-making into their designs. We then review the challenges, and the opportunities, in today’s recommenders, looking at how deep learning and optimization techniques can integrate with both interface designs and human performance statistics to improve recommender effectiveness and usefulness

scholarly journals Joseph T. Freeman Award: Creating Synergy in Interdisciplinary Aging Research and Practice

2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 243-243
Author(s):  
Pamela Cacchione
Keyword(s):  
Older Adults ◽  
Low Cost ◽  
Geriatric Medicine ◽  
Sensory Impairment ◽  
Soft Robot ◽  
Aging Research ◽  
Research And Practice ◽  
Interdisciplinary Practice ◽  
Challenges And Opportunities ◽  
Research Questions

Abstract Over 30 years of interdisciplinary practice stimulated many research questions. Early intervention research in sensory impairment, specifically vision and/or hearing impairment was heavily supported by interdisciplinary colleagues from Geriatric Medicine, Nursing, Occupational Therapy, Optometry and Audiology. Challenges and opportunities from this research created a growing interest in developing and designing technologies for older adults. Creating the need for partnerships with engineering. My expertise in aging and access to willing research participants made me an ideal research partner. Effectively expanding my focus beyond sensory impairment interventions to designing and testing robots with older adults. Currently we are testing low cost mobile robots in acute care and the community and are developing and testing a soft robot to assist persons out of a chair as well as turn and lift persons up in bed. The synergy of interdisciplinary practice and research is helping us innovate to improve the lives of older adults.

scholarly journals Agriculture 4.0 and Smart Sensors. The Scientific Evolution of Digital Agriculture: Challenges and Opportunities

2021 ◽  
Author(s):  
Michele Kremer Sott ◽  
Leandro da Silva Nascimento ◽  
Cristian Rogério Foguesatto ◽  
Leonardo B. Furstenau ◽  
Kadígia Faccin ◽  
...  
Keyword(s):  
Precision Agriculture ◽  
Web Of Science ◽  
Smart Sensors ◽  
Agriculture Sector ◽  
Technological Adoption ◽  
Challenges And Opportunities ◽  
Increase Productivity ◽  
Digital Agriculture ◽  
Smart Agriculture ◽  
Theoretical Reflection

: The agriculture sector is one of the backbones of many countries’ economies and its processes have been changing in order to enable technological adoption to increase productivity, quality, and sustainable development. In this research, we present a theoretical reflection through a scientific mapping of the adoption of precision techniques and breakthrough technologies in agriculture, the so-called Precision Agriculture (PA) and Agriculture 4.0 (A4.0). To do this, we used 4,694 documents from the Web of Science database to perform a Bibliometric Performance and Network Analysis (BPNA) of the literature with the support of the PICOC protocol and the SciMAT software. Our findings present 22 strategic themes related to Digital Agriculture (DA) such as Internet of Things (IoT) and Climate-smart Agriculture (CSA) among others, and the thematic network structures of the motor themes and the thematic evolution structure of the field of the study over time. In addition, our results discuss the main challenges and opportunities of DA. Our findings have the potential to provide insights for practitioners and researchers in decision-making and pave the way for future works.

Tailored digitization with real-time locating systems

atp magazin ◽  
2021 ◽  
Vol 63 (03) ◽  
pp. 76-83
Author(s):  
Andreas Löcklin ◽  
Kai Przybysz-Herz ◽  
Tamás Ruppert ◽  
Robert Libert ◽  
László Jakab ◽  
...  
Keyword(s):  
Real Time ◽  
Use Cases ◽  
Material Flows ◽  
Production Processes ◽  
The Future ◽  
Position Data ◽  
Time Position

We are seeing a boom in the use of real-time position data to automate and optimize tasks in the field of production and logistics. Here we consider the reasons for this, show what has already proven to be industrially viable and give an overview of six current research efforts. We show which use cases have been automated by RTLS and where RTLS could play a role to further optimize production processes or material flows in the future.

Sign in / Sign up

Export Citation Format

Share Document