scholarly journals Synergy of Edge Intelligence and Blockchain: A Comprehensive Survey

2021 ◽  
Author(s):  
Xiaofei Wang ◽  
Xiaoxu Ren ◽  
Chao Qiu ◽  
Zehui Xiong ◽  
Haipeng Yao ◽  
...  
Keyword(s):  
Power Management ◽  
Support Services ◽  
Wide Spectrum ◽  
Model Optimization ◽  
Future Directions ◽  
Integrated Network ◽  
Computing Power ◽  
Comprehensive Survey ◽  
Decentralized Management ◽  
Significant Attention

Edge intelligence (EI), as an emerging technology, has been attracting significant attention. It pushes the frontier of artificial intelligence (AI) from the cloud to the network edge, aiming to embrace and support the next-generation communications while unleashing AI services. However, it faces challenges in its decentralized management and security, which limit its capabilities to support services with numerous requirements. On the other side, blockchain (BC), as a promising decentralized technology, is beneficial to tackle the above issues. However, there exist some technical challenges for BC, such as transaction capacity, scalability, and fault tolerance. Motivated by significant current interest around EI and BC, this survey examines whether the synergy of EI and BC can make a powerful network with combined functionalities of both cutting-edge technologies. Accordingly, we develop EI-chain and Chain-intelligence to realize reliable computing-power management, data administration, and model optimization at the edges, while improving the functions of BC by leveraging complementary characteristics of EI and BC, further making up for their own limitations. In this survey, a wide spectrum of literature is carefully reviewed to enable the EI-chain and Chain-intelligence. Moreover, we cover the technological aspects of EI-chain and Chain-intelligence: overview, motivations, and frameworks. Finally, some challenges and future directions are explored. We believe this survey will provide developers and researchers a comprehensive view on the synergy of EI and BC, while accelerating the design of a powerful integrated network.

scholarly journals Synergy of Edge Intelligence and Blockchain: A Comprehensive Survey

2021 ◽  
Author(s):  
Xiaofei Wang ◽  
Xiaoxu Ren ◽  
Chao Qiu ◽  
Zehui Xiong ◽  
Haipeng Yao ◽  
...  
Keyword(s):  
Power Management ◽  
Support Services ◽  
Wide Spectrum ◽  
Model Optimization ◽  
Future Directions ◽  
Integrated Network ◽  
Computing Power ◽  
Comprehensive Survey ◽  
Decentralized Management ◽  
Significant Attention

Edge intelligence (EI), as an emerging technology, has been attracting significant attention. It pushes the frontier of artificial intelligence (AI) from the cloud to the network edge, aiming to embrace and support the next-generation communications while unleashing AI services. However, it faces challenges in its decentralized management and security, which limit its capabilities to support services with numerous requirements. On the other side, blockchain (BC), as a promising decentralized technology, is beneficial to tackle the above issues. However, there exist some technical challenges for BC, such as transaction capacity, scalability, and fault tolerance. Motivated by significant current interest around EI and BC, this survey examines whether the synergy of EI and BC can make a powerful network with combined functionalities of both cutting-edge technologies. Accordingly, we develop EI-chain and Chain-intelligence to realize reliable computing-power management, data administration, and model optimization at the edges, while improving the functions of BC by leveraging complementary characteristics of EI and BC, further making up for their own limitations. In this survey, a wide spectrum of literature is carefully reviewed to enable the EI-chain and Chain-intelligence. Moreover, we cover the technological aspects of EI-chain and Chain-intelligence: overview, motivations, and frameworks. Finally, some challenges and future directions are explored. We believe this survey will provide developers and researchers a comprehensive view on the synergy of EI and BC, while accelerating the design of a powerful integrated network.

Potential Antimicrobial Peptides Elucidation From The Marine Bacteria

2020 ◽  
Vol 18 ◽  
Author(s):  
Adyasa Barik ◽  
Pandiyan Rajesh ◽  
Manthiram Malathi ◽  
Vellaisamy Balasubramanian
Keyword(s):  
Antimicrobial Peptide ◽  
Marine Bacteria ◽  
Unnatural Amino Acids ◽  
Wide Spectrum ◽  
Drug Resistant ◽  
Medical Field ◽  
The World ◽  
Pathogenic Microbes ◽  
Antimicrobial Peptide Resistance ◽  
Significant Attention

: In recent years, over use of antibiotics has been raising its head to a serious problem all around the world as pathogens become drug resistant and create challenges to the medical field. This failure of most potent antibiotics that kill pathogens increases the thirst for research to look further way of killing pathogens. It has been led to the findings of antimicrobial peptide which is the most potent peptide to destroy pathogens. This review gives special emphasis to the usage of marine bacteria and other microorganisms for antimicrobial peptide (AMP) which are eco friendly as well as a developing class of natural and synthetic peptides with a wide spectrum of targets to pathogenic microbes. Consequently, a significant attention has been paid mainly to (i) the structure and types of anti microbial peptides and (ii) mode of action and mechanism of antimicrobial peptide resistance to pathogens. In addition to this, the designing of AMPs has been analysed thoroughly for reducing toxicity and developing better potent AMP. It has been done by the modified unnatural amino acids by amidation to target the control of biofilm and persister cell.

scholarly journals Arabic Cursive Text Recognition from Natural Scene Images

2019 ◽  
Vol 9 (2) ◽  
pp. 236 ◽  
Author(s):  
Saad Ahmed ◽  
Saeeda Naz ◽  
Muhammad Razzak ◽  
Rubiyah Yusof
Keyword(s):  
Recognition System ◽  
Document Image ◽  
Text Recognition ◽  
Chinese Script ◽  
Challenging Problem ◽  
Future Directions ◽  
Scene Text ◽  
Comprehensive Survey ◽  
Recognition Systems ◽  
Scene Text Recognition

This paper presents a comprehensive survey on Arabic cursive scene text recognition. The recent years’ publications in this field have witnessed the interest shift of document image analysis researchers from recognition of optical characters to recognition of characters appearing in natural images. Scene text recognition is a challenging problem due to the text having variations in font styles, size, alignment, orientation, reflection, illumination change, blurriness and complex background. Among cursive scripts, Arabic scene text recognition is contemplated as a more challenging problem due to joined writing, same character variations, a large number of ligatures, the number of baselines, etc. Surveys on the Latin and Chinese script-based scene text recognition system can be found, but the Arabic like scene text recognition problem is yet to be addressed in detail. In this manuscript, a description is provided to highlight some of the latest techniques presented for text classification. The presented techniques following a deep learning architecture are equally suitable for the development of Arabic cursive scene text recognition systems. The issues pertaining to text localization and feature extraction are also presented. Moreover, this article emphasizes the importance of having benchmark cursive scene text dataset. Based on the discussion, future directions are outlined, some of which may provide insight about cursive scene text to researchers.

scholarly journals A Comparative Study of Target Tracking Approaches in Wireless Sensor Networks

2016 ◽  
Vol 2016 ◽  
pp. 1-11 ◽  
Author(s):  
Asmaa Ez-Zaidi ◽  
Said Rakrak
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Target Tracking ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Future Directions ◽  
Wide Range ◽  
Comprehensive Survey ◽  
The Subject ◽  
Intense Research

Wireless sensor networks have been the subject of intense research in recent years. Sensor nodes are used in wide range of applications such as security, military, and environmental monitoring. One of the most interesting applications in wireless sensor networks is target tracking, which mainly consists in detecting and monitoring the motion of mobile targets. In this paper, we present a comprehensive survey of target tracking approaches. We then analyze them according to several metrics. We also discuss some of the challenges that influence the performance of tracking schemes. In the end, we conduct detailed analysis and comparison between these algorithms and we conclude with some future directions.

scholarly journals A Comprehensive Survey of Knowledge Graph-Based Recommender Systems: Technologies, Development, and Contributions

Information ◽  
2021 ◽  
Vol 12 (6) ◽  
pp. 232
Author(s):  
Janneth Chicaiza ◽  
Priscila Valdiviezo-Diaz
Keyword(s):  
Recommender Systems ◽  
Survey Result ◽  
Knowledge Graph ◽  
Specific Recommendation ◽  
Future Directions ◽  
Recent Developments ◽  
Comprehensive Survey ◽  
System 2 ◽  
And Performance ◽  
Use Of Knowledge

In recent years, the use of recommender systems has become popular on the web. To improve recommendation performance, usage, and scalability, the research has evolved by producing several generations of recommender systems. There is much literature about it, although most proposals focus on traditional methods’ theories and applications. Recently, knowledge graph-based recommendations have attracted attention in academia and the industry because they can alleviate information sparsity and performance problems. We found only two studies that analyze the recommendation system’s role over graphs, but they focus on specific recommendation methods. This survey attempts to cover a broader analysis from a set of selected papers. In summary, the contributions of this paper are as follows: (1) we explore traditional and more recent developments of filtering methods for a recommender system, (2) we identify and analyze proposals related to knowledge graph-based recommender systems, (3) we present the most relevant contributions using an application domain, and (4) we outline future directions of research in the domain of recommender systems. As the main survey result, we found that the use of knowledge graphs for recommendations is an efficient way to leverage and connect a user’s and an item’s knowledge, thus providing more precise results for users.

scholarly journals Visual Analytics for Operation-Level Construction Monitoring and Documentation: State-of-the-Art Technologies, Research Challenges, and Future Directions

2020 ◽  
Vol 6 ◽  
Author(s):  
Jinwoo Kim
Keyword(s):  
Information Integration ◽  
Visual Analytics ◽  
Construction Projects ◽  
State Of The Art ◽  
Built Environments ◽  
Knowledge Gaps ◽  
Research Papers ◽  
Future Directions ◽  
Construction Monitoring ◽  
Significant Attention

Operation-level vision-based monitoring and documentation has drawn significant attention from construction practitioners and researchers. To automate the operation-level monitoring of construction and built environments, there have been much effort to develop computer vision technologies. Despite their encouraging findings, it remains a major challenge to exploit technologies in real construction projects, implying that there are knowledge gaps in practice and theory. To fill such knowledge gaps, this study thoroughly reviews 119 papers on operation-level vision-based construction monitoring, published in mainstream construction informatics journals. Existing research papers can be categorized into three sequential technologies: (1) camera placement for operation-level construction monitoring, (2) single-camera-based construction monitoring and documentation, and (3) multi-camera-based onsite information integration and construction monitoring. For each technology, state-of-the-art algorithms, open challenges, and future directions are discussed.

scholarly journals Comprehensive Survey of Routing Techniques in Wireless Sensor Network

2013 ◽  
Vol 5 (2) ◽  
pp. 563-575
Author(s):  
Nidhi Sharma ◽  
Shikha Sharma
Keyword(s):  
Power Management ◽  
Routing Protocols ◽  
Data Dissemination ◽  
Wireless Sensor ◽  
Communication Overhead ◽  
Energy Awareness ◽  
Comprehensive Survey ◽  
Routing Techniques ◽  
Design Tradeoffs ◽  
And Performance

Wireless Sensor Netw orks ( WSNs) c onsist of small nodes with sensing, computation, and wireless communications capabilities. Many routing, power management, and data dissemination protocols have been specifically designed for WSNs where energy awareness is an essential design issue. The focus , however, has been given to the routing protocols which might differ depending on the application and netw ork architecture. In this paper, we present a survey of the state-of-the-art routing techniques in WSNs. We first outline the designchallenges for routing protocols in WSNs followed by a comprehensive survey of different routing techniques . Overall, the routing techniques are classified into three categories based on the underlying netw ork structure: flat, hierarchical, and location-based routing. Furthermore, these protocols can be classified into multipath-based,query-based, negotiation-based, QoS-based, and coherent-based depending on the protocol operation. We study the design tradeoffs b e twe e n ener gy and communication overhead savings in every routing paradigm. We also highlight the adv antages and performance issues of each routing technique.

scholarly journals A comprehensive survey on formal concept analysis, its research trends and applications

2016 ◽  
Vol 26 (2) ◽  
pp. 495-516 ◽  
Author(s):  
Prem Kumar Singh ◽  
Cherukuri Aswani Kumar ◽  
Abdullah Gani
Keyword(s):  
Incomplete Data ◽  
Granular Computing ◽  
Possibility Theory ◽  
Formal Concept ◽  
Research Papers ◽  
Emerging Trends ◽  
Comprehensive Survey ◽  
Interval Valued ◽  
Fuzzy Setting ◽  
Significant Attention

AbstractIn recent years, FCA has received significant attention from research communities of various fields. Further, the theory of FCA is being extended into different frontiers and augmented with other knowledge representation frameworks. In this backdrop, this paper aims to provide an understanding of the necessary mathematical background for each extension of FCA like FCA with granular computing, a fuzzy setting, interval-valued, possibility theory, triadic, factor concepts and handling incomplete data. Subsequently, the paper illustrates emerging trends for each extension with applications. To this end, we summarize more than 350 recent (published after 2011) research papers indexed in Google Scholar, IEEE Xplore, ScienceDirect, Scopus, SpringerLink, and a few authoritative fundamental papers.

scholarly journals Acoustic Tweezers for Particle and Fluid Micromanipulation

2020 ◽  
Vol 52 (1) ◽  
pp. 205-234 ◽  
Author(s):  
M. Baudoin ◽  
J.-L. Thomas
Keyword(s):  
Optical Tweezers ◽  
Acoustic Radiation ◽  
Wide Spectrum ◽  
Acoustic Streaming ◽  
Input Power ◽  
Three Dimensions ◽  
Particle Sizes ◽  
Future Directions ◽  
Acoustic Radiation Pressure ◽  
Acoustic Tweezers

Acoustic tweezers powerfully enable the contactless collective or selective manipulation of microscopic objects. Trapping is achieved without pretagging, with forces several orders of magnitude larger than optical tweezers at the same input power, limiting spurious heating and enabling damage-free displacement and orientation of biological samples. In addition, the availability of acoustical coherent sources from kilo- to gigahertz frequencies enables the manipulation of a wide spectrum of particle sizes. After an introduction of the key physical concepts behind fluid and particle manipulation with acoustic radiation pressure and acoustic streaming, we highlight the emergence of specific wave fields, called acoustical vortices, as a means to manipulate particles selectively and in three dimensions with one-sided tweezers. These acoustic vortices can also be used to generate hydrodynamic vortices whose topology is controlled by the topology of the wave. We conclude with an outlook on the field's future directions.

Sign in / Sign up

Export Citation Format

Share Document