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Search results for: data acquisition
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Towards bees detection on images: study of different color models for neural networks
PublicationThis paper presents an approach to bee detection in videostreams using a neural network classifier. We describe the motivationfor our research and the methodology of data acquisition. The maincontribution to this work is a comparison of different color models usedas an input format for a feedforward convolutional architecture appliedto bee detection. The detection process has is based on a neural...
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Efficient Surrogate Modeling and Design Optimization of Compact Integrated On-Chip Inductors Based on Multi-Fidelity EM Simulation Models
PublicationHigh-performance and small-size on-chip inductors play a critical role in contemporary radio-frequency integrated circuits. This work presents a reliable surrogate modeling technique combining low-fidelity EM simulation models, response surface approximations based on kriging interpolation, and space mapping technology. The reported method is useful for the development of broadband and highly accurate data-driven models of integrated...
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Implementation of an Adaptive Method for Changing the Frequency Division of the Counter Clock Signal in a Frequency-to-Code Converter
PublicationProcessing physical quantities into an indirect signal is a standard method of transferring information about the measured quantity to the master system, which analyzes the data obtained from the acquisition system. The intermediate signal is very often the voltage, but another transmission medium can be the frequency of the output signal of the “physical quantity-to-frequency” converter. The article presents the implementation...
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Fuctional structure of diagnostic system for wheeled tractors
PublicationAn application of computer controlled fuel injection systems in vehicle engines and growing demands concerning toxic substances emission and fuel consumption was a main reason for OBD (On Board Diagnosis) development. In spite of a great technological development, only some tractors are equipped in diagnostic systems. On board diagnosis is strongly connected with emission demands and does not concern other important vehicle functions.In...
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An application of simulation model of fuel consumption in diagnostic system of wheeled tractors
PublicationAn application of computer controlled fuel injection systems in vehicle engines and growing demands concerning toxic substances emission and fuel consumption was a main reason for OBD (On Board Diagnosis) development. In spite of a great technological development, only some tractors are equipped in diagnostic systems. On board diagnostic is strongly connected with emission demands and does not concern other important vehicle functions. In...
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Quality Evaluation of Agricultural Distillates Using an Electronic Nose
PublicationThe paper presents the application of an electronic nose instrument to fast evaluation of agricultural distillates differing in quality. The investigations were carried out using a prototype of electronic nose equipped with a set of six semiconductor sensors by FIGARO Co., an electronic circuit converting signal into digital form and a set of thermostats able to provide gradient temperature characteristics to a gas mixture. A volatile fraction...
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Tools for Automatic Wound Healing Evaluation
PublicationFinal results of the research project devoted to development of a new objective and quantitative method of post cardiosurgery wound healing diagnostics, already preliminary discussed at the QIRT 2014 Conference, is presented. We assumed that thermal processes should be effective in subtle description of temporal changes of tissue thermal properties after surgical interventions. To prove this assumption more than 400 patients after...
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Sea surface temperature in the Baltic Sea derived from Landsat 8 satellite data - path 194
Open Research DataThe data set contains high resolution sea surface temperature (SST) maps estimated from Landsat 8 Level 1 Thermal Infrared Sensor (TIRS) data using NLSST algorithm. SST was calculated only for granules (185 x 180 km) from satellite path number 194, that covered at least 2000 km2 of the cloud-free area of the Baltic Sea.
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Sea surface temperature in the Baltic Sea derived from Landsat 8 satellite data - path 192
Open Research DataThe data set contains high resolution sea surface temperature (SST) maps estimated from Landsat 8 Level 1 Thermal Infrared Sensor (TIRS) data using NLSST algorithm. SST was calculated only for granules (185 x 180 km) from satellite path number 192, that covered at least 2000 km2 of the cloud-free area of the Baltic Sea.
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Sea surface temperature in the Baltic Sea derived from Landsat 8 satellite data - path 191
Open Research DataThe data set contains high resolution sea surface temperature (SST) maps estimated from Landsat 8 Level 1 Thermal Infrared Sensor (TIRS) data using NLSST algorithm. SST was calculated only for granules (185 x 180 km) from satellite path number 191, that covered at least 2000 km2 of the cloud-free area of the Baltic Sea.
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Sea surface temperature in the Baltic Sea derived from Landsat 8 satellite data - path 193
Open Research DataThe data set contains high resolution sea surface temperature (SST) maps estimated from Landsat 8 Level 1 Thermal Infrared Sensor (TIRS) data using NLSST algorithm. SST was calculated only for granules (185 x 180 km) from satellite path number 193, that covered at least 2000 km2 of the cloud-free area of the Baltic Sea.
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Sea surface temperature in the Baltic Sea derived from Landsat 8 satellite data - path 190
Open Research DataThe data set contains high resolution sea surface temperature (SST) maps estimated from Landsat 8 Level 1 Thermal Infrared Sensor (TIRS) data using NLSST algorithm. SST was calculated only for granules (185 x 180 km) from satellite path number 190, that covered at least 2000 km2 of the cloud-free area of the Baltic Sea.
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Thermographic imaging of electrochemical double layer capacitors during cycling charging - discharging 0 - 3,6 V at 420 mA. Sample 103. Image period: 0,5 sec.
Open Research DataDataset contains thermal images of prototype electrochemical double layer capacitor taken during cyclic charging - discharging. The sample was charged to 3,6 V and discharged to 10 mV by constant current 420 mA. Sample 103. Pictures were taken with period of 0,5 sec (2 Hz) in order to examine the fast fluctuations of sample temperature during charging...
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Thermographic imaging of electrochemical double layer capacitors during cycling charging - discharging 0 - 3,6 V at 420 mA. Sample 103. Image period: 1 sec.
Open Research DataDataset contains thermal images of prototype electrochemical double layer capacitor taken during cyclic charging - discharging. The sample was charged to 3,6 V and discharged to 10 mV by constant current 420 mA. Sample 103. Pictures were taken with period of 1 sec (1 Hz) in order to examine the fast fluctuations of sample temperature during charging...
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AUTOMATED SYSTEM FOR FLUCTUATION ENHANCED GAS SENSING
PublicationResistance gas sensors exhibit random phenomena (resistance noise) which can be utilized to improve gas sensitivity and selectivity. That new emerging technique has to be investigated to recognize optimal parameters for gas detection. It means that a measurement system has to have ability of numerous parameters adjustment (e.g., sampling frequency, heater voltage, polarization current, voltage noise amplification). That fact induced...
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Systemy bezprzewodowej łączności i transmisji danych dla potrzeb bezpieczeństwa publicznego (studium stanu i rozwiązań)
PublicationW niniejszym rozdziale przedstawiono charakterystyki rozwiązań użytkowych zrealizowanych w Katedrze Systemów i Sieci Radiokomunikacyjnych Politechniki Gdańskiej. Autorzy scharakteryzowali opracowane przez zespół badawczy Katedry, systemy bezprzewodowego monitoringu zagrożeń bezpieczeństwa oraz zarządzania i sterowania infrastrukturami krytycznymi. W tym też kontekście omówiono następujące systemy i aplikacje użytkowe: − globalny...
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Inżynieria odwrotna bazy paliw płynnych w Gdańsku
PublicationArtykuł prezentuje prace z zakresu pozyskania danych o zbiornikach bazy paliw płynnych w Gdańsku. Przedstawione rozwiązanie nie ogranicza się tylko do stworzenia (rejestracji) chmury punktów, ale jest próbą wskazania użycia naziemnego skaningu laserowego do stworzenia bazy informacji o bazie paliw – w tym głównie geometrii zbiorników. Autorzy prezentują proces inwentaryzacji, rejestrację chmury punktów oraz wskazują zasady tworzenia...
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Comparison of the effectiveness of automatic EEG signal class separation algorithms
PublicationIn this paper, an algorithm for automatic brain activity class identification of EEG (electroencephalographic) signals is presented. EEG signals are gathered from seventeen subjects performing one of the three tasks: resting, watching a music video and playing a simple logic game. The methodology applied consists of several steps, namely: signal acquisition, signal processing utilizing z-score normalization, parametrization and...
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Thermographic imaging of electrochemical double layer capacitors during cycling charging - discharging 0 - 3,6 V at 420 mA. Sample 103, run #2. Image period: 1 sec.
Open Research DataDataset contains thermal images of prototype electrochemical double layer capacitor taken during cyclic charging - discharging. The sample was charged to 3,6 V and discharged to 10 mV by constant current 420 mA. Sample 103. Pictures were taken with period of 1 sec (1 Hz) in order to examine the fast fluctuations of sample temperature during charging...
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Thermographic imaging of electrochemical double layer capacitors during cycling charging - discharging 0 - 3,6 V at 420 mA. Sample 103, run #3. Image period: 0,5 sec.
Open Research DataDataset contains thermal images of prototype electrochemical double layer capacitor taken during cyclic charging - discharging. The sample was charged to 3,6 V and discharged to 10 mV by constant current 420 mA. Sample 103. Pictures were taken with period of 0,5 sec (2 Hz) in order to examine the fast fluctuations of sample temperature during charging...
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Thermographic imaging of electrochemical double layer capacitors during cycling charging - discharging 0 - 3,6 V at 420 mA. Sample 103, run #2. Image period: 0,5 sec.
Open Research DataDataset contains thermal images of prototype electrochemical double layer capacitor taken during cyclic charging - discharging. The sample was charged to 3,6 V and discharged to 10 mV by constant current 420 mA. Sample 103. Pictures were taken with period of 0,5 sec (2 Hz) in order to examine the fast fluctuations of sample temperature during charging...
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Thermographic imaging of electrochemical double layer capacitors during cycling charging - discharging 0 - 3,6 V at 420 mA. Sample 103, run #3. Image period: 1 sec.
Open Research DataDataset contains thermal images of prototype electrochemical double layer capacitor taken during cyclic charging - discharging. The sample was charged to 3,6 V and discharged to 10 mV by constant current 420 mA. Sample 103. Pictures were taken with period of 1 sec (1 Hz) in order to examine the fast fluctuations of sample temperature during charging...
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Challenges in Observing the Emotions of Children with Autism Interacting with a Social Robot
PublicationThis paper concerns the methodology of multi-modal data acquisition in observing emotions experienced by children with autism while they interact with a social robot. As robot-enhanced therapy gains more and more attention and proved to be effective in autism, such observations might influence the future development and use of such technologies. The paper is based on an observational study of child-robot interaction, during which...
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Recent advances in high-frequency modeling by means of domain confinement and nested kriging
PublicationDevelopment of modern high-frequency components and circuits is heavily based on full-wave electromagnetic (EM) simulation tools. Some phenomena, although important from the point of view of the system performance, e.g., EM cross-coupling effects, feed radiation in antenna arrays, substrate anisotropy, cannot be adequately accounted for using simpler means such as equivalent network representations. Consequently, the involvement...
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Variable‐fidelity modeling of antenna input characteristics using domain confinement and two‐stage Gaussian process regression surrogates
PublicationThe major bottleneck of electromagnetic (EM)-driven antenna design is the high CPU cost of massive simulations required by parametric optimization, uncertainty quantification, or robust design procedures. Fast surrogate models may be employed to mitigate this issue to a certain extent. Unfortunately, the curse of dimensionality is a serious limiting factor, hindering the construction of conventional data-driven models valid over...
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Low-Cost Modeling of Microwave Components by Means of Two-Stage Inverse/Forward Surrogates and Domain Confinement
PublicationFull-wave electromagnetic (EM) analysis is one of the most important tools in the design of modern microwave components and systems. EM simulation permits reliable evaluation of circuits at the presence of cross-coupling effects or substrate anisotropy, as well as for accounting for interactions with the immediate environment. However, repetitive analyses required by EM-driven procedures, such as parametric optimization or statistical...
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Cellular network quality evaluation at a university campus on the eve of 5G
PublicationThanks to the availability of mobile devices and the spread of broadband access around the world, the number of network users continues to grow. This has raised user awareness when it comes to the quality of content they consume. Many service providers and operators focus on monitoring QoN (Quality of Network) and QoS (Quality of Service) parameters, particularly those influenced by bandwidth and latency. However, for most end-users,...
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Calculations of material factors for a set of 20 thermistors
Open Research DataThe presented data set is part of the research aimed at determining the actual characteristics of each thermistor in a package of twenty NTC10k type sensors.
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Determination of the ratio resistors in the input circuits of the NTC10k thermistor calibration system
Open Research DataThe presented data set is part of the research aimed at determining the actual characteristics of each thermistor in a package of twenty NTC10k type sensors.
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Voltage fluctuations on the main switchgear of the industrial power system supplying the rolling mill motors
Open Research DataThe dataset presents the voltage waveforms on the bus bars of the main switchgear of the industrial power network for the supply of rolling mills. The data was recorded during an experiment whose purpose was to determine a level of short-term and long-term flicker caused by voltage fluctuations. In the virtual application of flickermeter, a hardware...
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Machine learning applied to acoustic-based road traffic monitoring
PublicationThe motivation behind this study lies in adapting acoustic noise monitoring systems for road traffic monitoring for driver’s safety. Such a system should recognize a vehicle type and weather-related pavement conditions based on the audio level measurement. The study presents the effectiveness of the selected machine learning algorithms in acoustic-based road traffic monitoring. Bases of the operation of the acoustic road traffic...
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Application of an Electronic Nose Instrument to Fast Classification of Polish Honey Types
PublicationThe paper presents practical utilization of an electronic nose prototype, based on the FIGARO semiconductor sensors, in fast classification of Polish honey types—acacia flower, linden flower, rape, buckwheat and honeydew ones. A set of thermostating modules of the prototype provided gradient temperature characteristics of barbotage-prepared gas mixtures and stable measurement conditions. Three chemometric data analysis methods...
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Machine learning applied to acoustic-based road traffic monitoring
PublicationThe motivation behind this study lies in adapting acoustic noise monitoring systems for road traffic monitoring for driver’s safety. Such a system should recognize a vehicle type and weather-related pavement conditions based on the audio level measurement. The study presents the effectiveness of the selected machine learning algorithms in acoustic-based road traffic monitoring. Bases of the operation of the acoustic road traffic...
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Calculations of the resistance values of 20 thermistors at 100°C
Open Research DataThe presented data set is part of the research aimed at determining the actual characteristics of each thermistor in a package of twenty NTC10k type sensors.
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Calculations of the resistance values of 20 thermistors at 50°C
Open Research DataThe presented data set is part of the research aimed at determining the actual characteristics of each thermistor in a package of twenty NTC10k type sensors.
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Karol Rudziński inż.
PeopleKarol Rudziński (born on August 18, 1979 in Inowrocław). After graduating from Shipbuilding Technical School in Gdańsk, he continued his studies at Faculty of Mechanical Engineering of Gdańsk University of Technology. He graduated in 2007 engineering studies in specialization: Mechanics and Machine Building, Machine Technology. In 2002, he started working at Faculty of Hydro and Environmental Engineering at Gdańsk University of...
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CZYNNIKI DECYDUJĄCE O PRZYDATNOŚCI KOMPUTEROWEGO MODELU PRZEPŁYWÓW W SIECI WODOCIĄGOWEJ
PublicationW pracy poddano analizie wielozadaniowy proces tworzenia komputerowego modelu przepływów. W efekcie zidentyfikowano szereg czynników ograniczających obszar stosowania modelu w praktyce inżynierskiej. W zakresie pozyskiwania danych strukturalnych i operacyjnych wskazano potencjalne źródła błędów, które przyczyniają się do zmniejszenia dokładności odwzorowania stanu rzeczywistego. Specjalną rangę nadano specyfikacji czynników związanych...
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Calculations of the resistance values of 10 ratio resistors
Open Research DataThe presented data set is part of the research aimed at determining the actual characteristics of each thermistor in a package of twenty NTC10k type sensors.
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How does the Relationship Between the Mistakes Acceptance Component of Learning Culture and Tacit Knowledge-Sharing Drive Organizational Agility? Risk as a Moderator
PublicationChanges in the business context create the need to adjust organizational knowledge to new contexts to enable the organizational agile responses to secure competitiveness. Tacit knowledge is strongly contextual. This study is based on the assumption that business context determines tacit knowledge creation and acquisition, and thanks to this, the tacit knowledge-sharing processes support agility. Therefore, this study aims to expose...
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Experimental research on helical coil biomass boiler with oil as a heating fluid
PublicationThis paper presents an experimental research of helical coil biomass boiler with thermal oil heating agent. Heat exchanger consists of two coaxial helical coils swept by the flue gases. The burner is a single vertical retort connected to the fuel tank (wooden pellets). The boiler is a part of micro-power plant in which the heat from the boiler is exchanged with low-boiling HFE7100 to produce steam for a custom steam turbine. The...
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Calculations of the resistance values of 20 thermistors at 0°C
Open Research DataThe presented data set is part of the research aimed at determining the actual characteristics of each thermistor in a package of twenty NTC10k type sensors.
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The short-term flicker severity level measured in the industrial power system supplying the rolling mill motors
Open Research DataThe dataset presents a short-term flicker severity level measured on the bus bars of the main switchgear of the industrial power network for the supply of rolling mills. The data were obtained during an experiment whose purpose was to determine a level of short-term and long-term flicker caused by voltage fluctuations. In the virtual application of...
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A cumulative probability function of instantaneous flicker sensation values measured in the industrial power system supplying the rolling mill motors
Open Research DataThe dataset presents a cumulative probability function CPF of the instantaneous flicker sensation level measured on the bus bars of the main switchgear of the industrial power network for the supply of rolling mills. The data were obtained during an experiment whose purpose was to determine a level of short-term and long-term flicker caused by voltage...
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Dimensionality-Reduced Antenna Modeling with Stochastically Established Constrained Domain
PublicationOver the recent years, surrogate modeling methods have become increasingly widespread in the design of contemporary antenna systems. On the one hand, it is associated with a growing awareness of numerical optimization, instrumental in achieving high-performance structures. On the other hand, considerable computational expenses incurred by massive full-wave electromagnetic (EM) analyses, routinely employed as a major design tool,...
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A Novel Method for the Deblurring of Photogrammetric Images Using Conditional Generative Adversarial Networks
PublicationThe visual data acquisition from small unmanned aerial vehicles (UAVs) may encounter a situation in which blur appears on the images. Image blurring caused by camera motion during exposure significantly impacts the images interpretation quality and consequently the quality of photogrammetric products. On blurred images, it is difficult to visually locate ground control points, and the number of identified feature points decreases...
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Voltage fluctuations on the main switchgear of the industrial power system supplying the rolling mill motors_part_2
Open Research DataThe dataset presents the voltage waveforms on the bus bars of the main switchgear of the industrial power network for the supply of rolling mills. The data was recorded during an experiment whose purpose was to determine a level of short-term and long-term flicker caused by voltage fluctuations. In the virtual application of flickermeter, a hardware...
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Impact of different car-following models on estimating safety and emissions on signal-controlled intersections using microscopic simulations
PublicationThis paper examines the influence of two selected car-following models on the outcomes of microscopic traffic simu-lations. The authors begin by reviewing the literature on the various traffic models, methods for estimating energy consumption, fuel use, and emissions. The authors discuss using surrogate safety measures derived from analysing vehicle trajectories in a microscopic traffic model to estimate safety levels. This paper...
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MicroGal Gravity Measurements with MGS-6 Micro-g LaCoste Gravimeter
PublicationKnowing the exact number of fruit and trees helps growers to make better decisions about how to manage their production in the orchard and prevent plant diseases. The current practice of yield estimation is to manually count fruit or flowers (before harvesting), which is a very time-consuming and costly process. Moreover it’s not practical for large orchards. It also doesn’t allow to make predictions of plant development in a more...
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Assessment of Supercapacitor’s Quality by Means of Low Frequency Noise
PublicationLow frequency noise is a well-known tool for quality and reliability assessment of electronic devices. This phenomenon is observed in different electrochemical devices as well (e.g., smart windows, electrochemical corrosion processes). Thus, we can assume that the same tool can be used to asses quality of supercapacitors. Their quality is usually determined only by capacitance and/or equivalent series resistance (ESR), or impedance....
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Business continuity management framework for Industry 4.0 companies regarding dependability and security of the ICT and ICS/SCADA system
PublicationThis chapter addresses a business continuity management (BCM) framework for the Industry 4.0 companies including the organizational and technical solutions, regarding the dependability and security of the information and telecommunication technology (ICT), and the industrial control system (ICS) / supervisory control and data acquisition (SCADA) system. These technologies and systems play nowadays important roles in modern advanced...