scholarly journals Introducing an Intelligent Goods Service Framework

Logistics ◽  
2021 ◽  
Vol 5 (3) ◽  
pp. 54
Author(s):  
Åse Jevinger ◽  
Carl Magnus Olsson
Keyword(s):  
Internet Of Things ◽  
Information Sharing ◽  
Theoretical Framework ◽  
Legacy Systems ◽  
Direct Integration ◽  
Literature Study ◽  
Innovative Solutions ◽  
Service Framework

With the increasing diffusion of Internet of Things (IoT) technologies, the transportation of goods sector is in a position to adopt novel intelligent services that cut across the otherwise highly fragmented and heterogeneous market, which today consists of a myriad of actors. Legacy systems that rely upon direct integration between all actors involved in the transportation ecosystem face considerable challenges for information sharing. Meanwhile, IoT based services, which are designed as devices that follow goods and communicate directly to cloud-based backend systems, may provide services that previously were not available. For the purposes of this paper, we present a theoretical framework for classification of such intelligent goods systems based on a literature study. The framework, labelled as the Intelligent Goods Service (IGS) framework, aims at increasing the understanding of the actors, agents, and services involved in an intelligent goods system, and to facilitate system comparisons and the development of new innovative solutions. As an illustration of how the IGS framework can be used and contribute to research in this area, we provide an example from a direct industry–academia collaboration.

DAM: A Theoretical Framework for SensorSecurity in IoT Applications

2021 ◽  
Vol 12 (3) ◽  
Author(s):  
Bisma Gulzar ◽  
Ankur Gupta
Keyword(s):  
Theoretical Framework ◽  
Sensor Nodes ◽  
Security Threats ◽  
Security Vulnerabilities ◽  
Iot Applications ◽  
Potential Impact ◽  
Multiple Domains ◽  
Sensor Security ◽  
Incorrect Data

As IoT applications are pervasively deployed across multiple domains, the potential impact of their security vulnerabilities are also accentuated. Sensor nodes represent a critical security vulnerability in the IoT ecosystem as they are exposed to the environment and accessible to hackers. When compromised or manipulated, sensor nodes can transmit incorrect data which can have a damaging impact on the overall operation and effectiveness of the system. Researchers have addressed the security vulnerabilities in sensor nodes with several mechanisms being proposed to address them. This paper presents DAM (Detect, Avoid, Mitigate), a theoretical framework to evaluate the security threats and solutions for sensor security in IoT applications and deployments. The framework leads to the classification of sensor security threats and categorization of available solutions which can be used to either detect vulnerabilities and attacks, recover from them or completely avoid them. The proposed framework will be useful for evaluating sensor security in real-world IoT deployments in terms of potential threats and designing possible solution

Internet of Things (IoT): Classification, Secured Architecture Based on Data Sensitivity, Security Issues and Their Countermeasures

2021 ◽  
Vol 20 (Supp01) ◽  
pp. 2140001
Author(s):  
Bremnavas Ismail Mohideen ◽  
Basem Assiri
Keyword(s):  
Internet Of Things ◽  
Pervasive Computing ◽  
Architecture Design ◽  
Iot Security ◽  
Significant Development ◽  
Security Issues ◽  
Physical Resources ◽  
Healthcare Monitoring ◽  
Data Sensitivity

In recent decades, the communication of electronic equipment and physical resources is combined. Internet of Things (IoT) distributes things widely in the network. The IoT is Internet-based pervasive computing, which created significant development in the recent disposition of IoT infrastructures. The IoT infrastructures lead, manage and generate large amounts of data across various applications including environmental, transportation and healthcare monitoring. In this regard, there are salient uncertainties about the use of security concepts that are frequently measured as a major concern of IoT distributed architecture design. This paper mainly focuses on the classification of IoT, novel architecture considering the sensitivity of data, IoT security layers, review of security issues and acclaimed countermeasures.

A Graph Theoretical Framework for the Strong Gram Classification of Non-negative Unit Forms of Dynkin Type 𝔸n

2022 ◽  
Vol 184 (1) ◽  
pp. 49-82
Author(s):  
Jesús Arturo Jiménez González
Keyword(s):  
Theoretical Framework ◽  
Line Graphs ◽  
Positive Unit ◽  
Dynkin Type ◽  
Principal Unit

In the context of signed line graphs, this article introduces a modified inflation technique to study strong Gram congruence of non-negative (integral quadratic) unit forms, and uses it to show that weak and strong Gram congruence coincide among positive unit forms of Dynkin type 𝔸n. The concept of inverse of a quiver is also introduced, and is used to obtain and analyze the Coxeter matrix of non-negative unit forms of Dynkin type 𝔸n. With these tools, connected principal unit forms of Dynkin type 𝔸n are also classified up to strong congruence.

scholarly journals A deep learning platooning-based video information-sharing Internet of Things framework for autonomous driving systems

2019 ◽  
Vol 15 (11) ◽  
pp. 155014771988313 ◽  
Author(s):  
Zishuo Zhou ◽  
Zahid Akhtar ◽  
Ka Lok Man ◽  
Kamran Siddique
Keyword(s):  
Artificial Intelligence ◽  
Computer Vision ◽  
Deep Learning ◽  
Internet Of Things ◽  
Information Sharing ◽  
Communication Technology ◽  
Empirical Evaluation ◽  
Traffic Lights ◽  
Video Information ◽  
Safety And Stability

To enhance the safety and stability of autonomous vehicles, we present a deep learning platooning-based video information-sharing Internet of Things framework in this study. The proposed Internet of Things framework incorporates concepts and mechanisms from several domains of computer science, such as computer vision, artificial intelligence, sensor technology, and communication technology. The information captured by camera, such as road edges, traffic lights, and zebra lines, is highlighted using computer vision. The semantics of highlighted information is recognized by artificial intelligence. Sensors provide information on the direction and distance of obstacles, as well as their speed and moving direction. The communication technology is applied to share the information among the vehicles. Since vehicles have high probability to encounter accidents in congested locations, the proposed system enables vehicles to perform self-positioning with other vehicles in a certain range to reinforce their safety and stability. The empirical evaluation shows the viability and efficacy of the proposed system in such situations. Moreover, the collision time is decreased considerably compared with that when using traditional systems.

scholarly journals The identification of parameter arrangement for hypothetical model of campus with earthquake disaster mitigation insight

2018 ◽  
Vol 229 ◽  
pp. 01007
Author(s):  
Lies Wahyuni ◽  
Dede Rohmat ◽  
Iwan Setiawan
Keyword(s):  
Disaster Risk ◽  
Disaster Mitigation ◽  
Risk Indicator ◽  
Study Analysis ◽  
Literature Study ◽  
Hypothetical Model ◽  
Earthquake Disaster ◽  
Analysis And Synthesis ◽  
Simple Parameter

Universitas Pendidikan Indonesia is one of the leading university that should be responsive to environmental phenomena, especially about the earthquake disaster. Thus, developing disaster mitigation model is a very important thing to do. The purpose of this research is (1) identification of disaster risk factors, (2) classifying parameters and disaster risk indicator based on the availability of data, difficulty in obtaining data, and the accuracy of data, (3) develop alternative parameters to be used as a campus disaster mitigation model-based classification of disaster risk indicator. The method used in this research is literature study, analysis, and synthesis of theory and approach based on consideration of the expertise of the several specialist’s mitigations. The result of this study is an arrangement of the parameter for a campus with disaster mitigation hypothetical model insight which is divided into 3 parts, namely: ideal parameter consisting of 30 parameter indicators, medium parameter consisting of 27 parameter indicators, and simple parameter consisting of 22 parameter indicators.

scholarly journals A Survey on Trend and Classification of Internet of Things Reviews

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 111763-111782 ◽  
Author(s):  
Azana Hafizah Mohd Aman ◽  
Elaheh Yadegaridehkordi ◽  
Zainab Senan Attarbashi ◽  
Rosilah Hassan ◽  
Yong-Jin Park
Keyword(s):  
Internet Of Things

scholarly journals On the interaction of Linguistic Typology and Functional Grammar

2003 ◽  
Vol 9 (2) ◽  
pp. 209-237 ◽  
Author(s):  
Jan Rijkhoff
Keyword(s):  
Noun Phrase ◽  
Theoretical Framework ◽  
Word Class ◽  
Grammatical Category ◽  
Functional Grammar ◽  
Linguistic Typology ◽  
Sampling Methodology ◽  
Layered Model ◽  
Distinct Word

Research conducted within the wider theoretical framework of Dik’s Functional Grammar has resulted in important contributions to linguistic typology, and, vice versa, empirical facts from a wide variety of languages have significantly improved the theory of Functional Grammar, especially regarding its typological adequacy. This article discusses the following contributions to Linguistic Typology: the development of a sound sampling methodology, classification of noun categories (Seinsarten), an account of (so-called) number discord, the introduction of the new grammatical category of ‘nominal aspect’, a new typology of classifiers, and a universal concerning the occurrence of adjectives as a distinct word class. Conversely it will be shown that facts from many different languages have played an important role in the development of a layered model of the noun phrase in Functional Grammar and how currently these facts are used to test hypotheses concerning parallels between NPs and clauses.

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