Towards programmable on‐demand lightpath services: current state‐of‐the‐art and open research areas

Visual simultaneous localization and mapping (SLAM) is well-known to be one of the research areas in robotics. There are many challenges in traditional point feature-based approaches, such as insufficient point features, motion jitter, and low localization accuracy in low-texture scenes, which reduce the performance of the algorithms. In this article, we propose an RGB-D SLAM system to handle these situations, which is named Point-Line Fusion (PLF)-SLAM. We utilize both points and line segments throughout the process of our work. Specifically, we present a new line segment extraction method to solve the overlap or branch problem of the line segments, and then a more rigorous screening mechanism is proposed in the line matching section. Instead of minimizing the reprojection error of points, we introduce the reprojection error based on points and lines to get a more accurate tracking pose. In addition, we come up with a solution to handle the jitter frame, which greatly improves tracking success rate and availability of the system. We thoroughly evaluate our system on the Technische Universität München (TUM) RGB-D benchmark and compare it with ORB-SLAM2, presumably the current state-of-the-art solution. The experiments show that our system has better accuracy and robustness compared to the ORB-SLAM2.

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Current Trends in Wireless Sensor Network Design

International Journal of Distributed Sensor Networks ◽

10.1080/15501320590901865 ◽

2005 ◽

Vol 1 (1) ◽

pp. 101-122 ◽

Cited By ~ 42

Author(s):

Neha Jain ◽

Dharma P. Agrawal

Keyword(s):

Sensor Networks ◽

State Of The Art ◽

Wireless Sensor ◽

Research Issues ◽

Autonomous Operation ◽

Sensor Network Design ◽

Current Trends ◽

Current State ◽

Open Research ◽

Technological Area

The self-organizing nature of sensor networks, their autonomous operation and potential architectural alternatives make them suitable for different data-centric applications. Their wider acceptance seems to be rising on the horizon. In this article, we present an overview of the current state of the art in the field of wireless sensor networks. We also present various open research issues and provide an insight about the latest developments that need to be explored in greater depth that could possibly make this emerging technological area more useful than ever.

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A Systematic Literature Review on Military Software Defined Networks

Future Internet ◽

10.3390/fi10090088 ◽

2018 ◽

Vol 10 (9) ◽

pp. 88 ◽

Cited By ~ 4

Author(s):

Vasileios Gkioulos ◽

Håkon Gunleifsen ◽

Goitom Weldehawaryat

Keyword(s):

Literature Review ◽

Systematic Literature Review ◽

Network Architecture ◽

State Of The Art ◽

Future Research ◽

Software Defined Networks ◽

Application Domain ◽

Research Areas ◽

Current State ◽

Active Research

Software Defined Networking (SDN) is an evolving network architecture paradigm that focuses on the separation of control and data planes. SDN receives increasing attention both from academia and industry, across a multitude of application domains. In this article, we examine the current state of obtained knowledge on military SDN by conducting a systematic literature review (SLR). Through this work, we seek to evaluate the current state of the art in terms of research tracks, publications, methods, trends, and most active research areas. Accordingly, we utilize these findings for consolidating the areas of past and current research on the examined application domain, and propose directions for future research.

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ADAPTABLE DESIGN FOR DESIGN REUSE

Proceedings of the Canadian Engineering Education Association (CEEA) ◽

10.24908/pceea.v0i0.3951 ◽

2011 ◽

Author(s):

D. Fletcher ◽

P. Gu

Keyword(s):

Design Process ◽

State Of The Art ◽

Future Research ◽

Design Reuse ◽

Creative Design ◽

Design Information ◽

Adaptable Design ◽

Research Areas ◽

Current State ◽

Previous Design

Due to the complexity, associated cost, and general uncertainty of performing the creative design process, significant value exists in reusing the design information developed in previous design efforts. This paper outlines the current state of the art in design reuse in various fields as well as identifying both the current and future research areas. In addition, this paper describes the link between adaptable design and design reuse. Finally, as the first step in our research, this paper describes the direction that the research will take: an analysis of the use of adaptable design to enhance the design reuse process.

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Metadata- and Ontology-Based Semantic Web Mining

Data Warehousing and Mining ◽

10.4018/978-1-59904-951-9.ch222 ◽

2008 ◽

pp. 3531-3556

Author(s):

Marie Aude Aufaure ◽

Bénédicte Le Grand ◽

Michel Soto ◽

Nacera Bennacer

Keyword(s):

Information Retrieval ◽

Web Services ◽

Semantic Web ◽

Web Mining ◽

State Of The Art ◽

Next Generation ◽

Research Areas ◽

Semantic Data ◽

Open Research ◽

The Web

The increasing volume of data available on the Web makes information retrieval a tedious and difficult task. The vision of the Semantic Web introduces the next generation of the Web by establishing a layer of machine-understandable data, e.g., for software agents, sophisticated search engines and Web services. The success of the Semantic Web crucially depends on the easy creation, integration and use of semantic data. This chapter is a state-of-the-art review of techniques which could make the Web more “semantic”. Beyond this state-of-the-art, we describe open research areas and we present major current research programs in this domain.

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Metadata- and Ontology-Based Semantic Web Mining

Web Semantics & Ontology ◽

10.4018/978-1-59140-905-2.ch009 ◽

2006 ◽

pp. 259-296 ◽

Cited By ~ 5

Author(s):

Marie Aude Aufaure ◽

Bénédicte Le Grand ◽

Michel Soto ◽

Nacera Bennacer

Keyword(s):

Information Retrieval ◽

Web Services ◽

Semantic Web ◽

Web Mining ◽

State Of The Art ◽

Next Generation ◽

Research Areas ◽

Semantic Data ◽

Open Research ◽

The Web

The increasing volume of data available on the Web makes information retrieval a tedious and difficult task. The vision of the Semantic Web introduces the next generation of the Web by establishing a layer of machine-understandable data, e.g., for software agents, sophisticated search engines and Web services. The success of the Semantic Web crucially depends on the easy creation, integration and use of semantic data. This chapter is a state-of-the-art review of techniques which could make the Web more “semantic”. Beyond this state-of-the-art, we describe open research areas and we present major current research programs in this domain.

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An Overview of Biomolecular Event Extraction from Scientific Documents

Computational and Mathematical Methods in Medicine ◽

10.1155/2015/571381 ◽

2015 ◽

Vol 2015 ◽

pp. 1-19 ◽

Cited By ~ 2

Author(s):

Jorge A. Vanegas ◽

Sérgio Matos ◽

Fabio González ◽

José L. Oliveira

Keyword(s):

Natural Language ◽

Language Processing ◽

State Of The Art ◽

Biomedical Literature ◽

Event Extraction ◽

Automatic Extraction ◽

Biological Processes ◽

Scientific Texts ◽

Research Areas ◽

Current State

This paper presents a review of state-of-the-art approaches to automatic extraction of biomolecular events from scientific texts. Events involving biomolecules such as genes, transcription factors, or enzymes, for example, have a central role in biological processes and functions and provide valuable information for describing physiological and pathogenesis mechanisms. Event extraction from biomedical literature has a broad range of applications, including support for information retrieval, knowledge summarization, and information extraction and discovery. However, automatic event extraction is a challenging task due to the ambiguity and diversity of natural language and higher-level linguistic phenomena, such as speculations and negations, which occur in biological texts and can lead to misunderstanding or incorrect interpretation. Many strategies have been proposed in the last decade, originating from different research areas such as natural language processing, machine learning, and statistics. This review summarizes the most representative approaches in biomolecular event extraction and presents an analysis of the current state of the art and of commonly used methods, features, and tools. Finally, current research trends and future perspectives are also discussed.

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Artificial Intelligence and Military Applications: Innovations, Cybersecurity Challenges & Open Research Areas

10.20944/preprints202108.0047.v1 ◽

2021 ◽

Author(s):

Priyanka Jayakumar ◽

Sarfraz Nawaz Brohi ◽

Noor Zaman Jhanjhi

Keyword(s):

Artificial Intelligence ◽

Industrial Revolution ◽

Autonomous Systems ◽

Military Technology ◽

Research Areas ◽

Current State ◽

Open Research ◽

Military Applications ◽

The Many ◽

The Military

Over the years, Artificial Intelligence (AI) has seen a steady progress in development and evolution that can aid many sectors. Today, AI plays an essential role in the Fourth Industrial Revolution, and it is making its way into the military sector as well. Many countries are actively looking into AI military technology. Some of these innovations include image recognition, text analysis, Self-driving vehicles (SDV), gaming, robotic process automation (RPA) & Robotic and Autonomous Systems (RAS), and Autonomous Weapons Systems (AWS). In this research, we discuss the advantages of each innovation mentioned and analyze the many different cybersecurity threats that awaken due to military artificial intelligence systems. We then discuss the open research areas to better improve the current state of military artificial intelligence applications in terms of ethics, system security, proper strategy plan, accepted responsibility matrix, and introduction of relevant laws.

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A Survey on Design Rationale: Representation, Capture and Retrieval

Volume 3: 5th Design for Manufacturing Conference ◽

10.1115/detc2000/dfm-14008 ◽

2000 ◽

Author(s):

Xiaochun Hu ◽

Jun Pang ◽

Yan Pang ◽

Michael Atwood ◽

Wei Sun ◽

...

Keyword(s):

State Of The Art ◽

Mechanical Design ◽

Design Rationale ◽

Research Issues ◽

Knowledge Based ◽

Current State ◽

Open Research ◽

Design Software ◽

Prototype Design ◽

Interaction Research

Abstract This paper provides a brief survey on recent research in the area of design rationale. The study of Design Rationale spans a number of diverse disciplines, touching on concepts from research communities in Mechanical Design, Software Engineering, Artificial Intelligence, Civil Engineering and Human-Factors and Human-Computer Interaction research. We focus this survey on prototype design rationale systems for these application domains and put forward several major axes along which to describe and classify design rationale systems, including argumentation-based, descriptive, and process-based approaches. Further, we attempt to abstract the place of systems and tools for design rationale capture and retrieval in the context of contemporary knowledge-based engineering and CAD tools. This survey is structured around the fundamental different approaches, their representation schema, their capture methods, and retrieval techniques. A number of recent design rationale systems and representation schemes are presented, including JANUS, COMET, ADD, REMAP, HOS, PHIDIAS, DRIVE, IBIS. We conclude with an assessment of the current state-of-the-art and a discussion of critical open research issues.

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City Information Modeling: State of the Art

Applied Sciences ◽

10.3390/app11199333 ◽

2021 ◽

Vol 11 (19) ◽

pp. 9333

Author(s):

Zhen Xu ◽

Mingzhu Qi ◽

Yingying Wu ◽

Xintian Hao ◽

Yajun Yang

Keyword(s):

Future Development ◽

State Of The Art ◽

Information Modeling ◽

Typical Application ◽

Main Research ◽

City Life ◽

Research Areas ◽

Current State ◽

Significant Research ◽

The City

The concept of city information modeling (CIM) has become increasingly popular in recent years. A literature review of previous CIM studies is presented in this paper. First, a bibliometric analysis of the current global CIM research is described, revealing that CIM has become a significant research hotspot. Next, three main research areas of the current CIM technique, namely data collection, integration, and visualization, are summarized to describe the characteristics of CIM research. Furthermore, some widely used CIM platforms are compared, and typical application cases of the CIM technique at different stages of the city life cycle are summarized. Finally, the current issues in CIM research are discussed, and future development directions are proposed. The findings of this study are expected to help researchers understand the current state of CIM and identify future development directions, thereby promoting CIM research development.

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