Current Cyber-physical Systems Research Articles

Forecasting Energy Consumption with AI: A Review for Sustainable Energy Management

This paper provides a comprehensive review of the integration of artificial intelligence (AI) within the context of Industry 4.0, emphasizing its transformative impact on various industries and its specific applications in energy consumption forecasting for sustainable energy management. Beginning with a historical perspective on industrial evolution, from automation to the current cyber-physical systems era, the review highlights the pivotal role of AI in reshaping manufacturing processes. The article explores the diverse applications of AI in the energy sector, particularly its effectiveness in short-term load forecasting, demand response optimization, and accurate predictions for renewable energy sources like solar and wind. The growing complexity of power systems due to decentralization and the proliferation of grid-connected devices is discussed, underscoring the importance of effective information exchange facilitated by AI. Additionally, the review delves into various models used for energy forecasting, including supervised learning models, artificial neural networks, and deep learning models. The practical applications of AI in power system control, management, energy market pricing, and policy recommendations are outlined, showcasing its potential in optimizing energy efficiency and balancing electricity production and consumption. The practical examples of AI's role in improving predictions of supply and demand, such as Google's subsidiary DeepMind enhancing wind power output forecasts, highlight the real-world impact of these technologies. However, the abstract also acknowledges existing challenges, including insufficient theoretical background, practical expertise, and financial constraints hindering widespread AI adoption in the energy industry. In conclusion, the article offers valuable insights into the current state, challenges, and potential of AI in forecasting energy consumption, providing a roadmap for sustainable energy management across diverse industries.

Специфика продуктового менеджмента ИТ-индустрии России в условиях санкций

The article considers the consequences of foreign sanctions for the Russian information technology sector, the main measures to support the development of information technologies and digitalization of the country as a whole by the Russian government, features of the third package of measures to support domestic IT companies in 2022. The need to increase the competitive potential of the company through the use of a professional product manager or product manager is justified. The role of specialists of this type in Russia in the context of international market changes, features of the evolution of Russian product managers, the potential and points of growth of this profession were studied. The specifics of the work of the product manager in Russian companies are described. A deep analysis of the state of affairs in the domestic IT industry in the context of import substitution, acceleration of digitalization processes, features of the development of Russian software companies, online trading, marketplaces, features and measures of state support for these companies was carried out. Based on the statistical studies carried out, the prospects for the development of domestic IT companies are shown, which relied on the development of their own technologies due to the creation of current cyber-physical systems and modern competitive software, an analysis of the fastest growing Russian IT companies in 2022, the revenue turnover of the Russian IT sector over the past year was carried out. We considered the potential of the Russian IT business in the process of digital transformation, including due to the growth rate of net profit of new Russian leaders in this industry, awareness of the importance of the role of the product manager in the work of domestic IT companies.

A Survey on Recent Advanced Research of CPS Security

Cyber-physical systems (CPSs) are next-generation intelligent systems that integrate computing, communication, and control. Malicious attacks on CPSs can lead to both property damage and casualties. Therefore, it is worth surveying CPS security by reviewing and analyzing the latest high-quality related works. In this paper, we provide an overview of the CPS security studies from the last five years and select 142 related works from A- or B-level conferences/journals recommended by the China Computer Federation (CCF). First, we review the main contents of the selected papers and classify them into 24 topics. Then, we analyze hotspots and trends of CPS security technologies in three dimensions: (1) architecture layers (perception, network, and application); (2) application scenarios (smart grids, health care, smart transportation, smart homes, and general grids); and (3) MADC (Measure, Attack, Defense, and Control) types. Finally, we also perform a statistical analysis in terms of paper publication times, author institutes, countries, and sponsors to show the current worldwide CPS security research situation.

Prema skalabilnoj implementaciji Sajber-Fizičkih Sistema (SFS) na osnovu računarskih sistema visokih performansi

Cyber Physical Systems (CPS) establish an interdependency between the physical world and the cyber world. When considering a real world setup, CPS will receive a considerable input from the physical world that demands a timely response. Without the computer capacity to handle the input data, a CPS will not be able to react in a very short term to changes in the environment and provide proper output. Current CPS are unable to react in near real-time to challenges when considering a realistic problem size. Our objective is to harness the performance of High Performance Computing systems to make CPS capable of handling the necessary computation demands in order to be able to interact with the physical world. We present a case study on scheduling algorithms to demonstrate the current limitations in the computing performance and point possible solutions to achieve it.

SIDS: State-based intrusion detection for stage-based cyber physical systems

Abstract Attacks to Cyber Physical Systems (CPSs) are detected by Industrial Intrusion Detection Systems (IIDSs). Operation of stage-based CPSs (those for which their underlying process is batch) consists of three parts: normal states, normal transitions between the normal states, and normal time-intervals for transitions. Unfortunately, state-of-the-art IIDSs directly address cyber-attacks that result in anomalous states whereas anomalous transitions or time-intervals can also indicate cyber-attacks. In this paper, a State-based IDS (SIDS) is proposed to detect all three anomalies. For doing this, SIDS first automatically extracts the normal behavior of CPS. Then it monitors current CPS behavior and detects intrusions by directly looking at the data of field layer. A small-scale but real CPS (a mixer process) is provided to illustrate how SIDS works. In addition, experimental results on three cyber-attacks orchestrated on a simulated milk pasteurization process indicate that SIDS can successfully detect cyber-attacks to large I/O CPSs.

Part data integration in the Shop Floor Digital Twin: Mobile and cloud technologies to enable a manufacturing execution system

Abstract The availability of data from a manufacturing operation can be used to enable an increase in capability, adaptability, and awareness of the process. In current cyber-physical systems, data are collected from pieces of manufacturing equipment and used to drive useful change and affect production output. The data gathered typically describe the operating state of the equipment, such as a machine tool, and can be provided using standard protocols. One such protocol, known as MTConnect, is becoming increasingly popular to collect data from machine tools. Other useful data can be collected from production personnel using a Manufacturing Execution System (MES) to monitor process output, consumable usage, and operator productivity. However, MTConnect data and MES data usually reside in separate systems that may be proprietary and expensive. This paper describes the development and implementation of a new MES, powered by Android devices and cloud computing tools, that combines MTConnect data with production data collected from operators; the proposed MES is particularly suitable for small manufacturing enterprises, as it is low-cost and easily implementable. A case study using the MES to track a production run of titanium parts is presented, and data from the MES are correlated with MTConnect data from a machine tool. This work is integral to realizing a complete digital model of the shop floor, known as the Shop Floor Digital Twin, that can be used for production control and optimization.

Computation and Communication Evaluation of an Authentication Mechanism for Time-Triggered Networked Control Systems.

In modern networked control applications, confidentiality and integrity are important features to address in order to prevent against attacks. Moreover, network control systems are a fundamental part of the communication components of current cyber-physical systems (e.g., automotive communications). Many networked control systems employ Time-Triggered (TT) architectures that provide mechanisms enabling the exchange of precise and synchronous messages. TT systems have computation and communication constraints, and with the aim to enable secure communications in the network, it is important to evaluate the computational and communication overhead of implementing secure communication mechanisms. This paper presents a comprehensive analysis and evaluation of the effects of adding a Hash-based Message Authentication (HMAC) to TT networked control systems. The contributions of the paper include (1) the analysis and experimental validation of the communication overhead, as well as a scalability analysis that utilizes the experimental result for both wired and wireless platforms and (2) an experimental evaluation of the computational overhead of HMAC based on a kernel-level Linux implementation. An automotive application is used as an example, and the results show that it is feasible to implement a secure communication mechanism without interfering with the existing automotive controller execution times. The methods and results of the paper can be used for evaluating the performance impact of security mechanisms and, thus, for the design of secure wired and wireless TT networked control systems.

Reducing Energy Waste for Computers by Human-in-the-Loop Control

Although current cyber physical systems (CPSs) act as the bridge between humans and environment, their implementation mostly assumes humans as an external component to the control loops. We use a case study of energy waste on computer workstations to motivate the incorporation of humans into the control loops. The benefits include better response accuracy and timeliness of the CPS systems. However, incorporating humans into tight control loops remains a challenge as it requires understanding complex human behavior. In our case study, we collect empirical data to understand human behavior regarding distractions in computer usage and develop a human-in-the-loop control that can put workstations into sleep by early detection of distraction. Our control loop implements strategies such as an adaptive timeout interval, multilevel sensing, and addressing background processing. Evaluation on multiple subjects show an accuracy of 97.28% in detecting distractions, which cuts the energy waste of computers by 80.19%.