scholarly journals Application and Recent Trends in Implementation of Internet of Things: A comprehensive review

YMER Digital ◽  
2021 ◽  
Vol 20 (12) ◽  
pp. 533-544
Author(s):  
S Karthik ◽  
◽  
N Satish ◽  
Keyword(s):  
Internet Of Things ◽  
Soft Computing ◽  
Identification System ◽  
Context Aware ◽  
Computing Technology ◽  
Living Things ◽  
Recent Trends ◽  
Effective Decision ◽  
Effective Decision Making ◽  
Centralized System

Internet of Things (IoT) is an evolving technology in the current era with a combination of diverse computational technologies, objects, animals and human. The objects in the IoT framework transmit data among themselves and they are assigned with unique numbers for identification. The communication among the network is established by identification system and functions without any centralized system. Advancement in the sensor network has made automation in numerous field and integration of soft computing technology in the IoT system has made effective decision making. The objects resides in the IoT system acts intelligent and perform the actions intelligently. The IoT based technology enhances daily life of humans via connected devices and makes living things context-aware. The information collected from sensors will be processed with the computational algorithms and effective predictions are accomplished. In this article, recent applications and soft computing algorithms are reviewed. In addition to that numerous applications based on IoT is also discussed in this article.

scholarly journals Consensus-Based Data Management within Fog Computing For the Internet of Things

2021 ◽  
Author(s):  
AISDL
Keyword(s):  
Internet Of Things ◽  
Data Management ◽  
Fog Computing ◽  
Heterogeneous Data ◽  
The Internet ◽  
Effective Decision ◽  
Effective Decision Making ◽  
New Generation ◽  
Delivery Models ◽  
The Internet Of Things

The Internet of Things (IoT) infrastructure forms a gigantic network of interconnected and interacting devices. This infrastructure involves a new generation of service delivery models, more advanced data management and policy schemes, sophisticated data analytics tools, and effective decision making applications. IoT technology brings automation to a new level wherein nodes can communicate and make autonomous decisions in the absence of human interventions. IoT enabled solutions generate and process enormous volumes of heterogeneous data exchanged among billions of nodes. This results in Big Data congestion, data management, storage issues and various inefficiencies. Fog Computing aims at solving the issues with data management as it includes intelligent computational components and storage closer to the data sources.

scholarly journals Learning-Based QoS Control Algorithms for Next Generation Internet of Things

2015 ◽  
Vol 2015 ◽  
pp. 1-8 ◽  
Author(s):  
Sungwook Kim
Keyword(s):  
Internet Of Things ◽  
System Performance ◽  
Future Internet ◽  
Global Network ◽  
The Internet ◽  
Theory Approach ◽  
Qos Control ◽  
Next Generation Internet ◽  
Effective Decision ◽  
Effective Decision Making

The Internet has become an evolving entity, growing in importance and creating new value through its expansion and added utilization. The Internet of Things (IoT) is a new concept associated with the future Internet and has recently become popular in a dynamic and global network infrastructure. However, in an IoT implementation, it is difficult to satisfy different Quality of Service (QoS) requirements and achieve rapid service composition and deployment. In this paper, we propose a new QoS control scheme for IoT systems. Based on the Markov game model, the proposed scheme can effectively allocate IoT resources while maximizing system performance. In multiagent environments, a game theory approach can provide an effective decision-making framework for resource allocation problems. To verify the results of our study, we perform a simulation and confirm that the proposed scheme can achieve considerably improved system performance compared to existing schemes.

A new adaptive XOR, hashing and encryption-based authentication protocol for secure transmission of the medical data in Internet of Things (IoT)

2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Dipalee Ashok Chaudhari ◽  
Ekambaram Umamaheswari
Keyword(s):  
Decision Making ◽  
Internet Of Things ◽  
Authentication Protocol ◽  
Detection Delay ◽  
Secure Data Transmission ◽  
Effective Decision ◽  
Iot Devices ◽  
Effective Decision Making ◽  
Hashing Function ◽  
Encryption Function

AbstractInternet of Things (IoT) plays a prominent role in health-care of patients, which assist the physicians and patients through the assistance in effective decision-making and additionally, in the medical field, IoT plays a significant role in real-time monitoring of the patients. Even though the data provided by the IoT devices ensure the effective decision-making, the data is susceptible to the network attacks. Thus, the paper proposes an authentication protocol for enabling the secure data transmission in IoT based on three functions, such as encryption function, hashing function, and adaptive XOR function. The proposed authentication protocol is named as, Adaptive XOR, hashing and Encryption Key Exchange (AXHE) protocol, which is the combination of the functions, such as encryption function, hashing function, and adaptive XOR function. The protocol ensures the security in the communication through two successive phases, such as registration and authentication of the user, where the user name, password, public keys, private keys, and security factor are employed. The authentication is progressed as seven levels and whenever the security factor matches, the user is authenticated and the communication continues. The analysis of the proposed AXHE is performed using 50 and 100 nodes in the presence of DOS and black hole attacks, which acquires the detection rate, throughput, and detection delay of 0.3859, 0.32, and 6.535 s, respectively.

Context Aware Data Perception in Cognitive Internet of Things - Cognitive Agent Approach

2020 ◽  
Vol 4 (2) ◽  
pp. 1-24
Author(s):  
Lokesh B. Bhajantri ◽  
Prashant M. Baluragi
Keyword(s):  
Internet Of Things ◽  
Traffic Congestion ◽  
Clustering Algorithm ◽  
Data Transfer ◽  
Context Aware ◽  
Cognitive Agent ◽  
Internet Of Things Environment ◽  
Adaptive Fuzzy Logic ◽  
Effective Decision ◽  
Cognitive Internet Of Things

In the past, the existing Internet of Things caused traffic congestion and receiver uncertainty problems due to insufficient data transfer between the nodes or devices for data perception. The authors have proposed the method for context-aware data perception in the cognitive internet of things environment. The proposed context-aware data perception is described in the following stages, initially nodes in Cognitive Internet of Things network are clustered effectively using adaptive pillar ‘K' means clustering algorithm. After the formation of effective clusters, the cognitive agent performs the effective context-aware data learning using support-based convolutional neural networks. Finally, adaptive fuzzy logic defines the effective decision for data perception. The experimental results show that the proposed method outperforms the cognitive agent approaches of data perception in terms of network lifetime, energy consumption, data perception accuracy, and throughput in the cognitive internet of things.

MACHINE LEARNING FOR SOFTWARE

2019 ◽  
pp. 251-255
Author(s):  
Shafagat Mahmudova
Keyword(s):  
Machine Learning ◽  
Neural Networks ◽  
Soft Computing ◽  
Computing Technology

The study machine learning for software based on Soft Computing technology. It analyzes Soft Computing components. Their use in software, their advantages and challenges are studied. Machine learning and its features are highlighted. The functions and features of neural networks are clarified, and recommendations were given.

Parliamentarism and the Legislative Branch

2017 ◽  
Author(s):  
András Sajó ◽  
Renáta Uitz
Keyword(s):  
Decision Making ◽  
Political Parties ◽  
Legislative Branch ◽  
Effective Decision ◽  
The Law ◽  
Internal Operations ◽  
Effective Decision Making ◽  
The Relationship ◽  
Law Making

This chapter examines the relationship between parliamentarism and the legislative branch. It explores the evolution of the legislative branch, leading to disillusionment with the rationalized law-making factory, a venture run by political parties beyond the reach of constitutional rules. The rise of democratically bred party rule is positioned between the forces favouring free debate versus effective decision-making in the legislature. The chapter analyses the institutional make-up and internal operations of the legislature, the role of the opposition in the legislative assembly, and explores the benefits of bicameralism for boosting the powers of the legislative branch. Finally, it looks at the law-making process and its outsourcing via delegating legislative powers to the executive.

scholarly journals Corporate Social Responsibility (CSR): motivations and challenges of a Multinational Enterprise (MNE) subsidiary’s engagement with host communities in Ghana

2021 ◽  
Vol 6 (1) ◽  
Author(s):  
Lyon Salia Awuah ◽  
Kwame Oduro Amoako ◽  
Stephen Yeboah ◽  
Emmanuel Opoku Marfo ◽  
Peter Ansu-Mensah
Keyword(s):  
Stakeholder Engagement ◽  
Multinational Enterprise ◽  
Cost Savings ◽  
Community Members ◽  
Mining Sector ◽  
High Expectations ◽  
Effective Decision ◽  
Effective Decision Making ◽  
Internal Stakeholders ◽  
Corporate Social

AbstractThis paper aims to explore the motivations and challenges of engaging host communities in CSR practices within the context of Newmont Ahafo Mines (NAM), a subsidiary of a Multinational Mining Enterprise (MNE) operating in Ghana’s mining sector. This paper draws insights from stakeholder theory and interviews conducted with internal stakeholders (management and employees) and stakeholders in host communities (traditional rulers and community members). The findings indicate that effective decision-making, gaining legitimacy, cost savings, management of risks, and accountability are some of the perceived motivations of NAM’s stakeholder engagement in CSR. Nonetheless, the most critical challenges to NAM in improving stakeholder engagement in CSR practices are the lack of community members’ support in CSR projects, communities’ high expectations of NAM on development projects and over-dependency on NAM on the part of host communities. Therefore, it is reasonable for MNEs in emerging economies to attune engagement practices to the host community’s context. This will enable CSR practices and policies to fully exploit the latent benefits of CSR in the mining sector.

scholarly journals Reflections on the Importance of Cost of Illness Analysis in Rare Diseases: A Proposal

2021 ◽  
Vol 18 (3) ◽  
pp. 1101
Author(s):  
Patrizio Armeni ◽  
Marianna Cavazza ◽  
Entela Xoxi ◽  
Domenica Taruscio ◽  
Yllka Kodra
Keyword(s):  
Rare Diseases ◽  
Cost Of Illness ◽  
Fragile X ◽  
Direct Costs ◽  
Medicinal Products ◽  
Novel Treatments ◽  
Decision Making Processes ◽  
Effective Decision ◽  
Cross Country ◽  
Effective Decision Making

In the field of rare diseases (RDs), the evidence standard is often lower than that required by health technology assessment (HTA) and payer authorities. In this commentary, we propose that appropriate economic evaluation for rare disease treatments should be initially informed by cost-of-illness (COI) studies conducted using a societal perspective. Such an approach contributes to improving countries’ understanding of RDs in their entirety as societal and not merely clinical, or product-specific issues. In order to exemplify how the disease burden’s distribution has changed over the last fifteen years, key COI studies for Hemophilia, Fragile X Syndrome, Cystic Fibrosis, and Juvenile Idiopathic Arthritis are examined. Evidence shows that, besides methodological variability and cross-country differences, the disease burden’s share represented by direct costs generally grows over time as novel treatments become available. Hence, to support effective decision-making processes, it seems necessary to assess the re-allocation of the burden produced by new medicinal products, and this approach requires identifying cost drivers through COI studies with robust design and standardized methodology.

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