Internet of Things (IOT)-Enabled Product Monitoring at Steadyserv

2019 ◽  
Vol 21 (4) ◽  
pp. 27-45
Author(s):  
Rebecca Angeles
Keyword(s):  
Internet Of Things ◽  
Radio Frequency Identification ◽  
Business Models ◽  
Early Stage ◽  
Secondary Data ◽  
Theoretical Frameworks ◽  
New Business ◽  
Frequency Identification ◽  
Technology Solution

This qualitative case study features SteadyServ, a beer inventory monitoring solution vendor, and its internet of things (IOT)-based radio frequency identification (RFID)-enabled technology solution. IOT-based information technology systems are powering new business models and innovative cloud-supported solutions addressing use cases in many industries. At this early stage, IOT is taking off in monitoring premises, products, supply chains, and customers. Content analysis of primary and secondary data was used to interpret this firm's RFID-enabled IOT solution's deployment at the firm's customer sites. Two theoretical frameworks were used in the attempt to understand the IT solution experiences of customer firms: socio-technical systems theory and affordances theory.

RFID, NFC, Beacons, and the Infrastructures of Logistical Locative Media

2020 ◽  
pp. 474-486
Author(s):  
Jordan Frith
Keyword(s):  
Internet Of Things ◽  
Radio Frequency Identification ◽  
Near Field ◽  
Low Energy ◽  
Near Field Communication ◽  
Rfid Tags ◽  
Bluetooth Low Energy ◽  
Locative Media ◽  
Frequency Identification ◽  
Machine Readable

The phrase the Internet of things was originally coined in a 1999 presentation about attaching radio frequency identification (RFID) tags to individual objects. These tags would make the objects machine-readable, uniquely identifiable, and, most importantly, wirelessly communicative with infrastructure. This chapter evaluates RFID as a piece of mobile communicative infrastructure, and it examines two emerging forms: near-field communication (NFC) and Bluetooth low-energy beacons. The chapter shows how NFC and Bluetooth low-energy beacons may soon move some types of RFID to smartphones, in this way evolving the use of RFID in payment and transportation and enabling new practices of post-purchasing behaviors.

scholarly journals Cryptanalysis of ultralightweight mutual authentication protocol for radio frequency identification enabled Internet of Things networks

2018 ◽  
Vol 14 (8) ◽  
pp. 155014771879512 ◽  
Author(s):  
Madiha Khalid ◽  
Umar Mujahid ◽  
Muhammad Najam-ul-Islam
Keyword(s):  
Internet Of Things ◽  
Radio Frequency ◽  
Radio Frequency Identification ◽  
Mutual Authentication ◽  
Authentication Protocol ◽  
Wireless Channel ◽  
Frequency Identification ◽  
Mutual Authentication Protocol ◽  
Attack Models ◽  
Internet Of Thing

Internet of Things is one of the most important components of modern technological systems. It allows the real time synchronization and connectivity of devices with each other and with the rest of the world. The radio frequency identification system is used as node identification mechanism in the Internet of Thing networks. Since Internet of Things involve wireless channel for communication that is open for all types of malicious adversaries, therefore many security protocols have been proposed to ensure encryption over wireless channel. To reduce the overall cost of radio frequency identification enabled Internet of Thing network security, the researchers use simple bitwise logical operations such as XOR, AND, OR, and Rot and have proposed many ultralightweight mutual authentication protocols. However, almost all the previously proposed protocols were later found to be vulnerable against several attack models. Recently, a new ultralightweight mutual authentication protocol has been proposed which involves only XOR and Rotation functions in its design and claimed to be robust against all possible attack models. In this article, we have performed cryptanalysis of this recently proposed ultralightweight mutual authentication protocol and found many pitfalls and vulnerabilities in the protocol design. We have exploited weak structure of the protocol messages and proposed three attacks against the said protocol: one desynchronization and two full disclosure attacks.

scholarly journals Can Financial Economics Cure Cancer?

2021 ◽  
Author(s):  
Andrew W. Lo
Keyword(s):  
High Throughput Screening ◽  
Business Models ◽  
Positive Impact ◽  
Early Stage ◽  
Genome Project ◽  
Gene Therapies ◽  
Biomedical Innovation ◽  
New Business ◽  
The Cost ◽  
The Human Genome Project

AbstractFunding for early-stage biomedical innovation has become more difficult to secure at the same time that medical breakthroughs seem to be occurring at ever increasing rates. One explanation for this counterintuitive trend is that increasing scientific knowledge can actually lead to greater economic risk for investors in the life sciences. While the Human Genome Project, high-throughput screening, genetic biomarkers, immunotherapies, and gene therapies have made a tremendously positive impact on biomedical research and, consequently, patient lives, they have also increased the cost and complexity of the drug development process, causing many investors to shift their assets to more attractive investment opportunities. This suggests that new business models and financing strategies can be used to reduce the risk and increase the attractiveness of biomedical innovation so as to bring new and better therapies to patients faster.

scholarly journals Internet of Things in Asset Management

2018 ◽  
Vol 9 (2) ◽  
pp. 104-119 ◽  
Author(s):  
Sini-Kaisu Kinnunen ◽  
Antti Ylä-Kujala ◽  
Salla Marttonen-Arola ◽  
Timo Kärri ◽  
David Baglee
Keyword(s):  
Decision Making ◽  
Internet Of Things ◽  
Radio Frequency Identification ◽  
Asset Management ◽  
Spare Parts ◽  
Future Research ◽  
Frequency Identification ◽  
Preliminary Study ◽  
Smart Factories ◽  
Factories Of The Future

The emerging Internet of Things (IoT) technologies could rationalize data processes from acquisition to decision making if future research is focused on the exact needs of industry. This article contributes to this field by examining and categorizing the applications available through IoT technologies in the management of industrial asset groups. Previous literature and a number of industrial professionals and academic experts are used to identify the feasibility of IoT technologies in asset management. This article describes a preliminary study, which highlights the research potential of specific IoT technologies, for further research related to smart factories of the future. Based on the results of literature review and empirical panels IoT technologies have significant potential to be applied widely in the management of different asset groups. For example, RFID (Radio Frequency Identification) technologies are recognized to be potential in the management of inventories, sensor technologies in the management of machinery, equipment and buildings, and the naming technologies are potential in the management of spare parts.

The future of the Internet of Things: toward heterarchical ecosystems and service business models

2018 ◽  
Vol 33 (6) ◽  
pp. 749-767 ◽  
Author(s):  
Seppo Leminen ◽  
Mervi Rajahonka ◽  
Mika Westerlund ◽  
Robert Wendelin
Keyword(s):  
Internet Of Things ◽  
Business Model ◽  
Value Chain ◽  
Large Scale ◽  
Business Models ◽  
The Internet ◽  
Content Type ◽  
Industry Collaboration ◽  
New Business ◽  
The Internet Of Things

Purpose This study aims to understand their emergence and types of business models in the Internet of Things (IoT) ecosystems. Design/methodology/approach The paper builds upon a systematic literature review of IoT ecosystems and business models to construct a conceptual framework on IoT business models, and uses qualitative research methods to analyze seven industry cases. Findings The study identifies four types of IoT business models: value chain efficiency, industry collaboration, horizontal market and platform. Moreover, it discusses three evolutionary paths of new business model emergence: opening up the ecosystem for industry collaboration, replicating the solution in multiple services and return to closed ecosystem as technology matures. Research limitations/implications Identifying business models in rapidly evolving fields such as the IoT based on a small number of case studies may result in biased findings compared to large-scale surveys and globally distributed samples. However, it provides more thorough interpretations. Practical implications The study provides a framework for analyzing the types and emergence of IoT business models, and forwards the concept of “value design” as an ecosystem business model. Originality/value This paper identifies four archetypical IoT business models based on a novel framework that is independent of any specific industry, and argues that IoT business models follow an evolutionary path from closed to open, and reversely to closed ecosystems, and the value created in the networks of organizations and things will be shareable value rather than exchange value.

scholarly journals Research on Indoor Positioning Algorithm of Single Reader Based on Gated Recurrent Unit

2021 ◽  
pp. 1-10
Author(s):  
Jintao Tang ◽  
Lvqing Yang ◽  
Jiangsheng Zhao ◽  
Yishu Qiu ◽  
Yihui Deng
Keyword(s):  
Internet Of Things ◽  
Radio Frequency Identification ◽  
Indoor Positioning ◽  
The Internet ◽  
Positioning Accuracy ◽  
Frequency Identification ◽  
The Cost ◽  
Positioning Algorithm ◽  
Gated Recurrent Unit ◽  
The Internet Of Things

With the development of the Internet of Things and Radio Frequency Identification (RFID), indoor positioning technology as an important part of positioning technology, has been attracting much attention in recent years. In order to solve the problems of low precision, high cost and signal collision between readers, a new indoor positioning algorithm based on a single RFID reader combined with a Double-order Gated Recurrent Unit (GRU) are proposed in this paper. Firstly, the reader is moved along the specified direction to collect the sequential tag data. Then, the tag’s coordinate is taken as the target value to train models and compare them with existing algorithms. Finally, the best Gated Recurrent Unit positioning model is used to estimate the position of the tags. Experiment results show that the proposed algorithm can effectively improve positioning accuracy, reduce the number of readers, cut down the cost and eliminate the collisions of reader signals.

scholarly journals Analysis of Comparison of Islamic Banks with Online Micro In Disbursements of Micro-Financing Based on Requirements, Services Speed and Margin (Case Study of Micro-finance at Bank Mandiri Syariah and Micro Credit Uangteman.com)

2020 ◽  
Vol 1 (1) ◽  
pp. 1
Author(s):  
Lucky Nugroho ◽  
Harnovinsah Harnovinsah ◽  
Yananto Mihadi Putra ◽  
Prinoti Prinoti
Keyword(s):  
Interest Rates ◽  
Digital Technology ◽  
Business Models ◽  
Industrial Revolution ◽  
Secondary Data ◽  
Financial Sector ◽  
Islamic Banks ◽  
Financial Technology ◽  
Micro Credit

The dynamics of the use of digital technology in the industrial revolution era 4.0 has had an impact on the financial sector. One of them is the development of financial technology (fintech) in the form of online loan services. Furthermore, the flagship product from fintech is lending to micro and small entrepreneurs. Likewise, Islamic banks that have a focus on financing to micro and small entrepreneurs must be able to compete with fintech services in the era of the industrial revolution 4.0 that is happening at this time. The purpose of this study is to analyze the different mechanisms of micro-financing distribution between Bank Mandiri Syariah and microcredit UangTeman.com. The method used is qualitative, which is to compare the requirements, mechanisms, and margins imposed on the customers and the information obtained through secondary data, namely standard and operational procedures. Based on the results of the study, the requirements and procedures for granting loans to micro and small entrepreneurs at Bank Mandiri Syariah are longer compared to UangTeman.com. While the fines for late payment in installments and interest rates on UangTeman.com are higher than the fines and margins of Bank Mandiri Syariah micro-financing. Therefore to be able to improve products and services for micro and small entrepreneurs, Bank Mandiri Syariah conducts a review of business models and business

scholarly journals Privacy by design : principles as a foundation to a more secure Internet of Things

2021 ◽  
Author(s):  
Mohamad Oubai Al-Rejleh
Keyword(s):  
Internet Of Things ◽  
Radio Frequency Identification ◽  
Personal Data ◽  
The Internet ◽  
Quantified Self ◽  
Everyday Objects ◽  
Late 21St Century ◽  
Frequency Identification ◽  
Internet Networks ◽  
The Internet Of Things

The Internet of Things (IoT) is a revolutionary concept that emerged in the late 21st century, whereby everyday objects such as household items, cars, and wearables, equipped with sensors and (Radio Frequency Identification) RFID chips, can communicate with the internet and to their physical surroundings. These chips allow the connected items to share information, and allow the user to collect information about his/her “quantified self”, measuring personal data such as habits of usage, lifestyle, and location through internet networks. IoT enabled devices are designed to collect, store, share, and analyze of highly personal data ubiquitously and in real time. However, with this new affordance of connectivity, comes a potential loss of privacy for users, as ever increasing sets of personal data are collected and tracked. As such, there is a pressing need for privacy considerations to be embedded within the early stages of design of connected devices and networks.

Research on Internet of Vehicles and its Application in Intelligent Transportation

2013 ◽  
Vol 321-324 ◽  
pp. 2818-2821 ◽  
Author(s):  
Jian Ming Huang
Keyword(s):  
Internet Of Things ◽  
Radio Frequency Identification ◽  
Traffic Congestion ◽  
Intelligent Transportation ◽  
Traffic Information ◽  
Sensor Technology ◽  
Transportation Industry ◽  
Internet Of Vehicles ◽  
Frequency Identification ◽  
Internet Of Things Technology

At present, the transportation industry brings energy consumption, pollution and traffic congestion is becoming more and more serious, which has greatly restricted the economic and social development. This paper elaborates the concepts of Internet of things, intelligent transportation, and Internet of vehicles; Internet of vehicles based on Internet of Things technology is considered as an effective method to solve road congestion. The key technologies of the Internet of vehicles include traffic information perception technology, network communication technology, and cloud computing technologies etc. among them, radio frequency identification technology, sensor technology, floating car data technology, and GPS positioning technology are the focus. Application of Internet of vehicles is discussed, and its future development is prospected.

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