scholarly journals OPERATIONAL (ONLINE) ANALYTICS: REALITIES AND PROSPECTS

2021 ◽  
pp. 35-41
Author(s):  
Volodymyr Varenko
Keyword(s):  
Management Decision ◽  
The Internet ◽  
Sources Of Information ◽  
New Knowledge ◽  
Electronic Revolution ◽  
Joint Provision ◽  
The Internet Of Things ◽  
Modern Analytical ◽  
Big Data Technology ◽  
Main Material

The goal of the work. The scientific problem is covered in order to systematize, generalize new knowledge about modern analytical technologies in terms of the present and prospects for their development. The research scientific novelty of the work lies in the generalization and systematization of new knowledge about operational analytics in terms of the present and prospects for its development within one study. Conclusions. The article highlights the current views of researchers on operational analytics and its information technology - Big Data technology. The works of famous experts - Bill Franks, Tom Davenport and Joanna Harris, Victor Mayer-Schoenberger and Kenneth Cookier, Karl Anderson, Brian Clifton, Sergei Kovalev, Oleg Veres - are analyzed.Their modern views on operational analytics formed the basis of the presentation of the main material. It is emphasized that we have an objective process of society development. And it depends on our choice whether we will have a competitive advantage at the start. The essence of operational analytics, its advantages and possibilities of application in the Ukrainian realities are described. In addition, the American electronic corporation IBM («Blue Giant»), which in the «Analytics» section offers seven categories of analytical products that will satisfy the most demanding consumers because they meet the world’s standards. The paper focuses on the fact that in modern management, operational analytics is carrying out an «electronic revolution». Ittakes analytics beyond the traditional limits of application. It takes analytics beyond the traditional limits of application. It turned out that we have a qualitatively new tool, a new level of evolution of analytical technologies. At the same time, it is emphasized that traditional analytical methods and technologies should not be thoughtlessly rejected, as they are basic, ie the foundation on which operational analytics is built and maintained. Emphasis is placed on the fact that operational analytics opens wide possibilities for integration with various sources of information (for example, the Internet of Things) through appropriate applications, communications and electronics, while providing a single, joint provision and presentation of informationbased on Big Data.Keywords: operational analytics, technology, management decision.

Towards Autonomous IoT Logistics Objects

2017 ◽  
pp. 210-222
Author(s):  
Bill Karakostas
Keyword(s):  
Internet Of Things ◽  
System Performance ◽  
Credit Card ◽  
Raspberry Pi ◽  
The Internet ◽  
Simulated Environment ◽  
Embedded Knowledge ◽  
New Knowledge ◽  
The Internet Of Things ◽  
Computing Infrastructure

To improve the overall impact of the Internet of Things (IoT), intelligent capabilities must be developed at the edge of the IoT ‘Cloud.' ‘Smart' IoT objects must not only communicate with their environment, but also use embedded knowledge to interpret signals, and by making inferences augment their knowledge of their own state and that of their environment. Thus, intelligent IoT objects must improve their capabilities to make autonomous decisions without reliance to external computing infrastructure. In this chapter, we illustrate the concept of smart autonomous logistic objects with a proof of concept prototype built using an embedded version of the Prolog language, running on a Raspberry Pi credit-card-sized single-board computer to which an RFID reader is attached. The intelligent object is combining the RFID readings from its environment with embedded knowledge to infer new knowledge about its status. We test the system performance in a simulated environment consisting of logistics objects.

Towards Autonomous IoT Logistics Objects

2020 ◽  
pp. 213-225
Author(s):  
Bill Karakostas
Keyword(s):  
Internet Of Things ◽  
System Performance ◽  
Credit Card ◽  
Raspberry Pi ◽  
The Internet ◽  
Simulated Environment ◽  
Embedded Knowledge ◽  
New Knowledge ◽  
The Internet Of Things ◽  
Computing Infrastructure

To improve the overall impact of the Internet of Things (IoT), intelligent capabilities must be developed at the edge of the IoT ‘Cloud.' ‘Smart' IoT objects must not only communicate with their environment, but also use embedded knowledge to interpret signals, and by making inferences augment their knowledge of their own state and that of their environment. Thus, intelligent IoT objects must improve their capabilities to make autonomous decisions without reliance to external computing infrastructure. In this chapter, we illustrate the concept of smart autonomous logistic objects with a proof of concept prototype built using an embedded version of the Prolog language, running on a Raspberry Pi credit-card-sized single-board computer to which an RFID reader is attached. The intelligent object is combining the RFID readings from its environment with embedded knowledge to infer new knowledge about its status. We test the system performance in a simulated environment consisting of logistics objects.

Physical Exercise Rehabilitation System Based on Internet of Things and Big Data Technology

2021 ◽  
Author(s):  
Nana Zhao ◽  
Yinzhong Yan ◽  
Xiao Han ◽  
Gaofei Zhang ◽  
Long Chen
Keyword(s):  
Big Data ◽  
Internet Of Things ◽  
Physical Exercise ◽  
Data Processing ◽  
Human Vision ◽  
The Internet ◽  
Exercise Rehabilitation ◽  
Rehabilitation System ◽  
The Internet Of Things ◽  
Big Data Technology

Abstract With the combination of big data technology and the Internet of Things and exercise rehabilitation, we are also facing the problem of processing massive amounts of data. Whether these data can be used well has become the key to obtaining good business benefits and improving user experience. This paper applies the Internet of Things and big data technology to the physical exercise rehabilitation system to improve the sports data processing and combine with the big data processing technology to explore the factors affecting the effect of exercise rehabilitation to improve the effect of physical exercise rehabilitation. Moreover, this paper proposes a posture recognition algorithm based on human vision, and defines the human posture described by the feature, which improves the classifier's ability to classify different posture data. Finally, this paper combines experimental analysis to verify the effect of the method in this paper. From the research results, it can be seen that the method constructed in this paper has a good rehabilitation effect of physical exercise.

scholarly journals Towards a Safer Internet of Things—A Survey of IoT Vulnerability Data Sources

Sensors ◽  
2020 ◽  
Vol 20 (21) ◽  
pp. 5969 ◽  
Author(s):  
Marcin Rytel ◽  
Anna Felkner ◽  
Marek Janiszewski
Keyword(s):  
Internet Of Things ◽  
Information Sources ◽  
Data Sources ◽  
The Internet ◽  
Sources Of Information ◽  
Service Offering ◽  
Iot Devices ◽  
Available Information ◽  
The Internet Of Things

The security of the Internet of Things (IoT) is an important yet often overlooked subject. Specifically, the publicly available information sources about vulnerabilities affecting the connected devices are unsatisfactory. Our research shows that, while the information is available on the Internet, there is no single service offering data focused on the IoT in existence. The national vulnerability databases contain some IoT related entries, but they lack mechanisms to distinguish them from the remaining vulnerabilities. Moreover, information about many vulnerabilities affecting the IoT world never reaches these databases but can still be found scattered over the Internet. This review summarizes our effort at identifying and evaluating publicly available sources of information about vulnerabilities, focusing on their usefulness in the scope of IoT. The results of our search show that there is not yet a single satisfactory source covering vulnerabilities affecting IoT devices and software available.

scholarly journals RANCANGAN ARSITEKTUR SISTEM INFORMASI LOGISTIK BERBASIS CYBER-PHYSICAL SYSTEMS DENGAN TEKNOLOGI BIG DATA DAN INTERNET OF THINGS

2021 ◽  
Vol 16 (2) ◽  
pp. 143-152
Author(s):  
Muhammad Rifqi Ma'arif ◽  
Andika Bayu Saputra
Keyword(s):  
Information System ◽  
Big Data ◽  
Internet Of Things ◽  
Physical System ◽  
The Internet ◽  
Cyber Physical System ◽  
Logistics Information System ◽  
Logistics Information ◽  
The Internet Of Things ◽  
Big Data Technology

Era Industri 4.0 sangat dipengaruhi oleh perkembangan teknologi informasi khususnya teknologi big data dan internet of things. Dua teknologi tersebut membangun sebuah paradigma baru yang disebut dengan Cyber-Physical System (CPS). CPS didefinsikan sebagai interkoneksi antara lingkungan fisik dengan program komputer melalui teknologi sensor/ IoT. Penerapan CPS di berbagai bidang bisnis/ industri akan semakin memperkuat nilai bisnis yang ditawarkan kepada customer. Salah satu bidang industri yang akan mengalami peningkatan signifikan dengan penerapan CPS adalah bidang logistik. Pengembangan Sistem Informasi Logistik dengan pengimplementasian konsep CPS akan memberikan nilai tambah bagi sektor logistik secara keseluruhan. Untuk mewujudkan hal tersebut, diperlukan sebuah studi konspetual bagaimana teknologi big data dan internet of things dapat diimplementasikan dalam sistem logistik. Sehingga, dalam penelitian ini, akan dikembangkan suatu rancangan arsitektur Sistem Informasi Logistik berbasis teknologi big data dan IoT untuk mendukung penerapan CPS dalam bidang logistik. AbstractThe era of Industry 4.0 is strongly influenced by information technology developments, especially big data technology and the internet of things. The two technologies build a new paradigm called Cyber-Physical System (CPS). CPS is defined as the interconnection between the physical environment and computer programs through sensor / IoT technology. The application of CPS in various business / industry fields will further strengthen the business value offered to customers. One of the industrial fields that will experience a significant increase with CPS's application is the field of logistics. The development of the Logistics Information System by implementing the CPS concept will provide added value to the Logistics sector as a whole. To make this happen, we need a conceptual study of how big data technology and the internet of things can be implemented in the logistics system. Therefore, in this study, a Logistics Information System architecture design will be developed based on big data and IoT technology to support CPS's application in logistics.Keywords: Logistic Information Systems; Cyber-Physical System; big data; internet of things

Internet of Things

2019 ◽  
pp. 60-68
Author(s):  
G. Geetha
Keyword(s):  
Internet Of Things ◽  
Everyday Life ◽  
Personal Data ◽  
Urban Life ◽  
The Internet ◽  
Individual Choice ◽  
Sources Of Information ◽  
Social Growth ◽  
Data Tracking ◽  
The Internet Of Things

The internet of things is a prime technology that promises to improve human lives. The revolution of the internet of things (IoT), along with the rapid growing of robots in many applications of everyday life, makes embedded IoT with robotics applications impact the future social growth. IoT technology aims at improving the quality of following social things similar to urban life by collecting personal data, tracking human movements, mapping them with various sources of information. The objective of the internet of things is to connect billions of things like sensors, actuators, RFID devices, and others make this technology an important aspect in our everyday life and work. The IoT could emphasize the social values as privacy, equality, trust, and individual choice and their implementation and management.

Contributions of the internet of things in education as support tool in the educational management decision-making process

2020 ◽  
Vol 27 (2) ◽  
pp. 175
Author(s):  
Rwrsilany Silva ◽  
Cleice De Pontes Bernardo ◽  
Carolina Yukari Veludo Watanabe ◽  
Rosália Maria Passos Da Silva ◽  
José Moreira Da Silva Neto
Keyword(s):  
Decision Making ◽  
Internet Of Things ◽  
Management Decision ◽  
The Internet ◽  
Decision Making Process ◽  
Educational Management ◽  
Support Tool ◽  
Management Decision Making ◽  
The Internet Of Things

scholarly journals Iot Based System to Avoid Open Spitting and Defeacation

2021 ◽  
Vol 9 (VI) ◽  
pp. 4537-4540
Author(s):  
Dr Mallikarjun Mudda
Keyword(s):  
Internet Of Things ◽  
Case Law ◽  
The Internet ◽  
Warning Systems ◽  
Health Issues ◽  
Sources Of Information ◽  
Public Places ◽  
Share Data ◽  
The Internet Of Things

This project discusses about splitting and defecation at public places or in open environment that impact environmental or the health. So to avoid this case study is to be made by Examining the existing literature, legislation, case law, and other sources of information practise, as well as analysing and proposing remedies is a far more prevalent practise than is often acknowledged. The most important attempts have been concentrated on preventing these as a tool to evade the environmental impact assessment EIA, but it is a much more complex subject, with many ways of dividing or defecating as well as reasons for doing so. Increasing the effectiveness of strategic environmental assessments For example, a higher engagement of the approving authority, precise laws, case-by-case investigations rather than thresholds, required scoping, and the avoidance of project components being excluded during the EIA are all actions that should be taken to avoid this practise. Defecation and open splits can pollute the environment and cause health issues. So the project is designed using moisture sensors that are place at a location along with ESP 32 WiFi module with camera to send picture images of the person doing so of either splitting or defecation. The system immediately takes the picture image of the person doing so and sends it to the concern authorities through IOT to the BLYNK app of the mobile. The Internet of Things (IoT) is a network of physical items that employs sensors, electronics, software, and connections to share data. There is no need for humans to interface with these systems. The way real-world systems are interconnected through the internet has been transformed by Internet of Things (IoT)-based solutions. At this time, the use of IoT-based systems has expanded to include real-time detection and warning systems. Cost, on the other hand, has been a major consideration in the development and deployment of IoT systems.

scholarly journals Attitudes of Young Consumers on the Security of their Data Collected By Smart Devices in the Age of the Internet of Things

2021 ◽  
Vol 41 (3) ◽  
pp. 21-38
Author(s):  
Beata Kolny
Keyword(s):  
Internet Of Things ◽  
Online Survey ◽  
Personal Data ◽  
Primary Sources ◽  
Smart Devices ◽  
The Internet ◽  
Sources Of Information ◽  
Secondary Sources ◽  
Young Consumers ◽  
The Internet Of Things

Abstract The popularity of smart devices that collect and share data on user behaviour grows every year, and the number of such devices in households is forecast to rise steadily. Therefore, the purpose of this paper is to present the attitudes of young consumers regarding the security of their data collected by smart devices, interconnected via the existing Internet infrastructure or other network technologies within the Internet of Things (IoT) systems. The paper was written based on both secondary and primary sources of information. Secondary sources were used to define the discussed issues related to the Internet of Things and the security of data collected by smart devices. Primary sources, on the other hand, offered direct evidence of the attitudes of young consumers on the security of such data. Direct research was carried out using an online survey carried out in 2021 on a sample of 588 consumers aged 18–34 living in Poland. The results show that more than half of the respondents pay great attention to where the data collected by the devices used in their households is kept and whether such data is safe. In spite of such declarations, more than half of those surveyed have no knowledge about the level of the security of such data. The respondents agreed with the statement that consumers accepted the uncertainty related to the loss of control over their personal data collected by smart devices more quickly than the risk involved in becoming disconnected from them.

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