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1 |
Barriers to computer vision applications in pig production facilities
موانع برنامه های بینایی کامپیوتری در تاسیسات تولید خوک-2022 Surveillance and analysis of behavior can be used to detect and characterize health disruption and welfare status
in animals. The accurate identification of changes in behavior is a time-consuming task for caretakers in large,
commercial pig production systems and requires strong observational skills and a working knowledge of animal
husbandry and livestock systems operations. In recent years, many studies have explored the use of various
technologies and sensors to assist animal caretakers in monitoring animal activity and behavior. Of these
technologies, computer vision offers the most consistent promise as an effective aid in animal care, and yet, a
systematic review of the state of application of this technology indicates that there are many significant barriers
to its widespread adoption and successful utilization in commercial production system settings. One of the most
important of these barriers is the recognition of the sources of errors from objective behavior labeling that are not
measurable by current algorithm performance evaluations. Additionally, there is a significant disconnect between the remarkable advances in computer vision research interests and the integration of advances and
practical needs being instituted by scientific experts working in commercial animal production partnerships. This
lack of synergy between experts in the computer vision and animal health and production sectors means that
existing and emerging datasets tend to have a very particular focus that cannot be easily pivoted or extended for
use in other contexts, resulting in a generality versus particularity conundrum.
This goal of this paper is to help catalogue and consider the major obstacles and impediments to the effective
use of computer vision associated technologies in the swine industry by offering a systematic analysis of computer vision applications specific to commercial pig management by reviewing and summarizing the following:
(i) the purpose and associated challenges of computer vision applications in pig behavior analysis; (ii) the use of
computer vision algorithms and datasets for pig husbandry and management tasks; (iii) the process of dataset
construction for computer vision algorithm development. In this appraisal, we outline common difficulties and
challenges associated with each of these themes and suggest possible solutions. Finally, we highlight the opportunities for future research in computer vision applications that can build upon existing knowledge of pig
management by extending our capability to interpret pig behaviors and thereby overcome the current barriers to
applying computer vision technologies to pig production systems. In conclusion, we believe productive collaboration between animal-based scientists and computer-based scientists may accelerate animal behavior studies
and lead the computer vision technologies to commercial applications in pig production facilities.
keywords: بینایی کامپیوتر | دامپروری دقیق | رفتار - اخلاق | یادگیری عمیق | مجموعه داده | گراز | Computer vision | Precision livestock farming | Behavior | Deep learning | Dataset | Swine |
مقاله انگلیسی |
2 |
Implementation of Quantum Annealing: A Systematic Review
پیاده سازی آنیل کوانتومی: مروری سیستماتیک-2022 Quantum annealing is a quantum computing approach widely used for optimization and
probabilistic sampling problems. It is an alternative approach designed due to the limitations of gate-based
quantum computing models. The method is observed to have a significant impact on different fields such as
machine learning, graphics, routing, scheduling, computational chemistry, computational biology, security,
portfolio, and others despite the fact that it is relatively new. This research provides a systematic review of
research development trends in the field of quantum annealing and analyzes how it has been implemented
in different problem domains. The results are expected to serve as the basis to identify the opportunities
and challenges of research related to its implementation. The main contribution of this systematic review
is to summarize different implementations of quantum annealing. It is also to analyze the prospect and
opportunities in one of the problem domains with the greatest interest which is machine learning.
INDEX TERMS: Quantum annealing | implementation | review. |
مقاله انگلیسی |
3 |
A systematic review on computer vision-based parking lot management applied on public datasets
مرور سیستماتیک مدیریت پارکینگ مبتنی بر بینایی ماشین اعمال شده بر روی مجموعه داده های عمومی-2022 Computer vision-based parking lot management methods have been extensively researched upon owing to their
flexibility and cost-effectiveness. To evaluate such methods authors often employ publicly available parking lot
image datasets. In this study, we surveyed and compared robust publicly available image datasets specifically
crafted to test computer vision-based methods for parking lot management approaches and consequently
present a systematic and comprehensive review of existing works that employ such datasets. The literature
review identified relevant gaps that require further research, such as the requirement of dataset-independent
approaches and methods suitable for autonomous detection of position of parking spaces. In addition, we have
noticed that several important factors such as the presence of the same cars across consecutive images, have
been neglected in most studies, thereby rendering unrealistic assessment protocols. Furthermore, the analysis
of the datasets also revealed that certain features that should be present when developing new benchmarks,
such as the availability of video sequences and images taken in more diverse conditions, including nighttime
and snow, have not been incorporated.
keywords: Parking lot | Dataset | Benchmark | Machine learning | Image processing |
مقاله انگلیسی |
4 |
Quantum Machine Learning Applications in the Biomedical Domain: A Systematic Review
کاربردهای یادگیری ماشین کوانتومی در حوزه زیست پزشکی: مرور سیستماتیک-2022 Quantum technologies have become powerful tools for a wide range of application disciplines,
which tend to range from chemistry to agriculture, natural language processing, and healthcare due to
exponentially growing computational power and advancement in machine learning algorithms. Furthermore,
the processing of classical data and machine learning algorithms in the quantum domain has given rise to
an emerging field like quantum machine learning. Recently, quantum machine learning has become quite a
challenging field in the case of healthcare applications. As a result, quantum machine learning has become
a common and effective technique for data processing and classification across a wide range of domains.
Consequently, quantum machine learning is the most commonly used application of quantum computing.
The main objective of this work is to present a brief overview of current state-of-the-art published articles
between 2013 and 2021 to identify, analyze, and classify the different QML algorithms and applications in the
biomedical field. Furthermore, the approach adheres to the requirements for conducting systematic literature
review techniques such as research questions and quality metrics of the articles. Initially, we discovered
3149 articles, excluded the 2847 papers, and read the 121 full papers. Therefore, this research compiled
30 articles that comply with the quantum machine learning models and quantum circuits using biomedical
data. Eventually, this article provides a broad overview of quantum machine learning limitations and future
prospects.
INDEX TERMS: Quantum computing | quantum machine learning | biomedical and healthcare. |
مقاله انگلیسی |
5 |
Lossy Data Compression for IoT Sensors: A Review
فشرده سازی داده های از دست رفته برای حسگرهای اینترنت اشیا: مرور-2022 Internet of Things (IoT) can be considered a suitable platform for industrial applications,
enabling large systems that connect a huge number of intelligent sensors and subsequent data
collection for analytical applications. This factor is responsible for the substantial increase in
the current volume of data generated by IoT devices. The large volume of data generated by
IoT sensors can lead to unusual demands on cloud storage and data transmission bandwidths.
A suitable approach to address these issues is through data compression approaches. This
article presents a systematic review of the literature on lossy data compression algorithms that
allows the systems to reduce the data detected by IoT devices. Lossy algorithms have a good
compression ratio, preserving data quality and minimizing compression errors. A taxonomy was
proposed from the review results, and the main works were classified, analyzed, and discussed.
keywords: فشرده سازی داده ها | اینترنت اشیا IOT | از بین رفتن در فشرده سازی | حسگرها | Data compression | IoT Internet of things | Lossy compression | Sensors |
مقاله انگلیسی |
6 |
A systematic review of technologies and solutions to improve security and privacy protection of citizens in the smart city
بررسی سیستماتیک فناوری ها و راه حل ها برای بهبود امنیت و حفاظت از حریم خصوصی شهروندان در شهر هوشمند-2022 The development of smart cities through digital communications has improved citizens’ quality of
life and well-being. In these cities, IoT technology generates vast amounts of data at any given
time, which is analyzed to provide services to citizens. In the proper implementation of these
cities, a critical challenge is the violation of citizens’ privacy and security, which leads to a lack of
trust and pessimism toward the services of the smart city. To ensure citizens’ participation, smart
city developers should adequately protect their security and privacy from gaining their trust. If
citizens don’t want to participate, the main benefits of a smart city will be lost. This article
presents a comprehensive review of smart city security issues and privacy. It provides a basis for
categorizing current and future developments in this area and developing a thematic classifica-
tion to highlight the requirements and security strategies for designing a smart and safe city. The
paper identifies current security and privacy solutions and describes open research challenges and
issues. An output of this study is a systematic map of literature on the subject that identifies
critical concepts, evidence, challenges, solutions, and gaps. It summarizes the findings into a body
of evidence that has previously been heterogeneous and complex. keywords: مرور سیستماتیک توصیفی | شهر هوشمند | اینترنت اشیا | حریم خصوصی | امنیت | Descriptive systematic review | Smart city | IoT | Privacy | Security |
مقاله انگلیسی |
7 |
Pain management for infants – Myths, misconceptions, barriers; knowledge and knowledge gaps
مدیریت درد برای نوزادان - افسانه ها، باورهای غلط، موانع؛ دانش و شکاف دانش-2021 Twelve years ago, the paper ‘Oral sucrose for pain management in infants: Myths and misconceptions’ was
published in the Journal of Neonatal Nursing. At this time, eight myths or misconceptions were addressed. Since
this time there has been more than 100 studies published reporting on analgesic effects of sweet solutions in
newborns, which have been synthesised and included in systematic reviews. There has also been a growth of
literature to support analgesic effects of breastfeeding and skin-to-skin care as well as concerning evidence of
adverse long-term neurobehavioural outcomes associated with painful procedures. Yet, ongoing studies of pain
management practices continue to report inconsistent use of these strategies during painful procedures. We are
therefore at a cross-roads of evidence – there is knowledge of effective treatments, knowledge of harm of untreated pain, yet sick, premature as well as healthy infants are continuing to be exposed to painful procedures
with no effective treatment. There are however ongoing myths, misconceptions, and practical barriers to using
the evidence as well as ongoing knowledge gaps. This paper will therefore highlight existing myths, misconceptions, barriers and current knowledge gaps to using the three key evidence-based pain management
strategies of breastfeeding, skin-to-skin care and sweet solutions, in the hope that this will bring to light newborn
infant pain treatment practices that can be improved.
keywords: پرستاری | نوزاد تازه | درد | درمان درد | شیر دادن | ساکاروز | پوست به پوست | نوزاد | ترجمه دانش | پژوهش | Nursing | Newborn | Pain | Pain treatment | Breastfeeding | Sucrose | Skin-to-skin | Neonate | Knowledge translation | Research |
مقاله انگلیسی |
8 |
Wood supply chain risks and risk mitigation strategies: A systematic review focusing on the Northern hemisphere
خطرات زنجیره تامین چوب و استراتژی های کاهش خطر: یک مرور سیستماتیک با تمرکز بر نیمکره شمالی-2021 This paper presents a systematic literature review on both the risks affecting wood supply security and risk mitigation strategies by quantitative and qualitative data analysis. It describes wood-specific supply chain risks, thereupon resulting impacts and counteracting strategies to ensure supply. Risks, impacts, and strategies are documented as basis for a comparative analysis, discussion of results, challenges and research gaps. Finally, the suitability and the limitations of the chosen methodology and the achieved results are discussed. Scanning wood supply chain risks and supply strategies, most of the reviewed papers focus on wood supply for bioenergy generation and only a few studies investigate wood supply chain risk issues for the sawing, wood panel, pulp and paper industries, or biorefineries.This review differs significantly from other reviews in this field as it considers the entire wood value chain including recent studies on new chemical wood-based products and thus provides a more complete picture of the wood-based bioeconomy. Consequently, it contributes to the literature by providing an overarching investigation of the risks affecting wood supply security and possible side effects of a growing wood-based bioeconomy. It was found that comprehensive value chain analyses considering established wood products, large-volume bioenergy products, as well as established and new chemical wood-based products in the context of wood supply security are missing. Studies that map the entire wood value chain with its multilevel interdependences and integrating cascading use of wood are lacking. Keywords: Wood supply | Wood supply chain risk | Supply risk mitigation | Wood supply strategy | Wood-based bioeconomy |
مقاله انگلیسی |
9 |
Management of Pediatric Atopic Dermatitis by Primary Care Providers: A Systematic Review
مدیریت درماتیت آتوپیک اطفال توسط ارائه دهندگان مراقبت های اولیه: مرور سیستماتیک-2021 BACKGROUND: Primary care providers (PCPs), including
pediatricians and general practitioners, are often the first to see
children with eczema/atopic dermatitis (AD). Little is known
about management of pediatric AD by PCPs and adherence to
national guidelines.
OBJECTIVE: To review existing literature examining management components of pediatric AD (topical corticosteroids
[TCS], topical calcineurin inhibitors [TCIs], antihistamines,
bathing, emollients, and diet) by PCPs.
DATA SOURCES: PubMed/Medline and Embase.
STUDY ELIGIBILITY CRITERIA: English-language articles dated
2015 to 2020 reporting outcomes addressing management of
pediatric AD by PCPs.
STUDY APPRAISAL AND SYNTHESIS METHODS: Two authors
independently screened titles/abstracts, reviewed full-text
articles, extracted relevant data, and evaluated study quality.
Disagreements were resolved by a third author.
RESULTS: Twenty articles were included. Surveys and
national database analyses were the most common methodologies (n = 7 each). PCPs commonly prescribed TCS but had a
preference for low-potency agents, overprescribed nonsedating
antihistamines, and avoided TCIs. PCPs commonly recommended emollients, although this was not universal. Data characterizing nonmedication management were limited.
LIMITATIONS: Most studies did not examine individual patient
encounters, but rather relied on providers reporting their general behaviors. Provider behavior may vary based on country
of practice.
CONCLUSIONS AND IMPLICATIONS OF KEY FINDINGS: Knowledge and management gaps exist among PCPs in treating pediatric AD in key areas including knowledge of TCS safety
profiles and prescribing of TCIs. The current literature is
largely limited to small studies that evaluate prescribing
behaviors with limited data characterizing nonmedication
management, highlighting the need for future research in this
area.
KEYWORDS: atopic dermatitis | eczema | health care delivery | primary care provider | pediatric |
مقاله انگلیسی |
10 |
COVID-19 pandemic related supply chain studies: A systematic review
مطالعات زنجیره تامین مرتبط با همه گیری COVID-19 : مرور سیستماتیک-2021 The global spread of the novel coronavirus, also known as the COVID-19 pandemic, has had a devastating impact on supply chains. Since the pandemic started, scholars have been researching and publishing their studies on the various supply-chain-related issues raised by COVID-19. However, while the number of articles on this subject has been steadily increasing, due to the absence of any systematic literature reviews, it remains unclear what aspects of this disruption have already been studied and what aspects still need to be investigated. The present study systematically reviews existing research on the COVID-19 pandemic in supply chain disciplines. Through a rigorous and systematic search, we identify 74 relevant articles published on or before 28 September 2020. The synthesis of the findings reveals that four broad themes recur in the published work: namely, impacts of the COVID-19 pandemic, resilience strategies for managing impacts and recovery, the role of technology in implementing resilience strategies, and supply chain sustainability in the light of the pandemic. Alongside the synthesis of the findings, this study describes the methodologies, context, and theories used in each piece of research. Our analysis reveals that there is a lack of empirically designed and theoretically grounded studies in this area; hence, the generalizability of the findings, thus far, is limited. Moreover, the analysis reveals that most studies have focused on supply chains for high-demand essential goods and healthcare products, while low-demand items and SMEs have been largely ignored. We also re- view the literature on prior epidemic outbreaks and other disruptions in supply chain disciplines. By considering the findings of these articles alongside research on the COVID-19 pandemic, this study offers research questions and directions for further investigation. These directions can guide scholars in designing and conducting impactful research in the field. Keywords: Supply chain disciplines | COVID-19 pandemic | Supply chain disruptions | Epidemic outbreaks | Literature review |
مقاله انگلیسی |