139 research outputs found
The importance of feature processing in deep learning based condition monitoring of motors
The advent of deep learning (DL) has transformed diagnosis and prognosis techniques in industry. It has allowed tremendous progress in industrial diagnostics, has been playing a pivotal role in maintaining and sustaining Industry 4.0, and also paving the way for industry 5.0. It has become prevalent in the condition monitoring of industrial subsystems, a prime example being motors. Motors in various applications start deteriorating due to various reasons. Thus, the monitoring of their condition is of prime importance for sustaining the operation and maintaining efficiency. This paper presents a state-of-the-art review of DL-based condition monitoring for motors in terms of input data and feature processing techniques. Particularly, it reviews the application of various input features for effectiveness of DL models in motor condition monitoring in the sense of what problems are targeted using these feature processing techniques and how they are addressed. Furthermore, it discusses and reviews advances in DL-models, DL based diagnostic methods for motors, hybrid fault diagnostic techniques, points out important open challenges to these models, and signposts the prospective future directions for DL models. This review will assist researchers in identifying research gaps related to feature processing, so that, they may effectively contribute towards the implementation of DL models as applied to motor condition monitoring
Cloud-MANET and its Role in Software-Defined Networking
The telecommunication networking technologies are changing day by day with the advancement of the existing technologies. In the proposed 5G networks, the role of Software-defined networking (SDN) is to provide programmable networking and decoupling the control and data plane. SDN comes from the requirement for providing the dynamic, high speed with low latency connectivity in real-time. This requirement introduces a new framework for creating programmable networking, decoupling forwarding and controlling planes, flexible real-time network, virtualizations in networking for managing the complexities in 5G heterogeneous networking. The emergence of virtualization has become the most useful technology for creating virtual machines remotely and apply security rules using programmable hardware to control centrally. In this article, the author discussed the cloud-based mobile ad hoc network (Cloud-MANET or sometimes called C-MANET) in the architecture of SDN for 5G heterogeneous networks. The main idea of creating the C-MANET mobility model in the SDN framework is to enable programmable networking and accessibility for the moving devices in the range of MANET and cloud connectivity. In the framework of SDN, the C-MANET mobility model implementation is not an easy task, but it can be a very useful contribution to add this model in the framework of SDN so that it provides the connection service in that location where internet or cellular networks are impossible or at the situation of a disaster
Heat flux measurement analysis from thin film gauge in convective heat transfer mode
In many research activities related to the heated environment near the wall or surface, measurement of transient surface temperature and determination of convective heating rate is one of the most important tasks. Since the effective measurement time available for the regime to enumerate is very small, it is essential to use temperature detectors with highly sensitive, precise and instantaneous temperature measurement properties. Thin film gauges with these properties are best suited for such short duration transient surface temperature measurements. This study focuses on the establishment of new calibration technique in convection heat transfer mode. A fabricated calibration set-up is used to supply the heat flux to the thin film gauge, which is in-house built with platinum as sensing element and quartz as an insulating substrate. The heat load applied on the thin film gauge is of impact or step type. The deduction of heat flux value is carried out with recorded transient temperature data. Moreover, the numerical analysis is also carried out to get the heat flux values. The authenticity of the experimental set up and thin film gauge effectiveness is supported by the excellent agreement of the experimental and numerical results. </jats:p
Business plan
Cílem diplomové práce je vypracovat podnikatelský plán pro projekt tiny house ubytování u louky poblíž Pacova v Jižních Čechách a následně posoudit jeho životaschopnost a potenciál. Diplomová práce je rozdělena do čtyř částí. Teoretická část se věnuje vymezení podnikání, právních forem podnikání, popisu struktury podnikatelského plánu, popisu Canvas modelů a definování trendů v ubytování v České republice. Na ni navazuje metodologická část zaměřená na použitý způsob získávání dat. Další část obsahuje dotazníkové šetření a prezentaci jeho výsledků. Dotazníkového šetření se zúčastnilo 544 respondentů a poskytlo řadu podnětných zjištění, která autorce pomohla při tvorbě podnikatelského plánu. Na závěr navazuje praktická část věnovaná samotnému podnikatelskému záměru. Výstupem práce je zhodnocení vypracovaného podnikatelského plánu a určení jeho životaschopnosti.The aim of the thesis is to develop a business plan for a tiny house accommodation project in a meadow near Pacov in South Bohemia and subsequently assess its viability and potential. The thesis is divided into four parts. The theoretical part is devoted to the definition of business, legal forms of business, description of the structure of the business plan, description of Canvas models and definition of trends in accommodation in the Czech Republic. This is followed by a methodological part focused on the method of data collection used. The next part contains a questionnaire survey and the presentation of its results. A total of 544 respondents participated in the questionnaire survey and provided a number of stimulating findings that helped the author in creation of the business plan. This is followed by a practical part dedicated to the business plan itself. The outcome of the thesis is an evaluation of the developed business plan and determination of its viability
Board-level gender diversity in Czech companies
This thesis explores the relationship between board gender diversity and financial performance in Czech companies. The literature review discusses studies from Europe, America, and Asia. Although gender representation on corporate boards has improved internationally, women remain significantly underrepresented, and this trend persists in Czech companies as well. The author uses a quantitative approach to analyze data from 100 largest Czech companies across five key sectors (industry, trade and hospitality, information and communication, construction, and finance and insurance) over four years (2020-2023). Linear regression analysis was used to examine the relationship between the percentage of women on boards and two financial performance indicators: return on assets (ROA) and return on equity (ROE). The research also distinguishes between Czech-owned firms and Czech subsidiaries of foreign companies to assess the potential impact of ownership structure. The main findings confirm that female representation on corporate boards in Czech companies remains low. Furthermore, the results suggest that, in most cases, there is no statistically significant correlation between board gender diversity and ROA or ROE. These findings align with some prior studies conducted in the Czech Republic, which indicate that a higher proportion of women on boards does not automatically lead to better financial outcomes, but neither does it negatively affect performance.This thesis explores the relationship between board gender diversity and financial performance in Czech companies. The literature review discusses studies from Europe, America, and Asia. Although gender representation on corporate boards has improved internationally, women remain significantly underrepresented, and this trend persists in Czech companies as well. The author uses a quantitative approach to analyze data from 100 largest Czech companies across five key sectors (industry, trade and hospitality, information and communication, construction, and finance and insurance) over four years (2020-2023). Linear regression analysis was used to examine the relationship between the percentage of women on boards and two financial performance indicators: return on assets (ROA) and return on equity (ROE). The research also distinguishes between Czech-owned firms and Czech subsidiaries of foreign companies to assess the potential impact of ownership structure. The main findings confirm that female representation on corporate boards in Czech companies remains low. Furthermore, the results suggest that, in most cases, there is no statistically significant correlation between board gender diversity and ROA or ROE. These findings align with some prior studies conducted in the Czech Republic, which indicate that a higher proportion of women on boards does not automatically lead to better financial outcomes, but neither does it negatively affect performance
Board-level gender diversity in Czech companies
This thesis explores the relationship between board gender diversity and financial performance in Czech companies. The literature review discusses studies from Europe, America, and Asia. Although gender representation on corporate boards has improved internationally, women remain significantly underrepresented, and this trend persists in Czech companies as well. The author uses a quantitative approach to analyze data from 100 largest Czech companies across five key sectors (industry, trade and hospitality, information and communication, construction, and finance and insurance) over four years (2020-2023). Linear regression analysis was used to examine the relationship between the percentage of women on boards and two financial performance indicators: return on assets (ROA) and return on equity (ROE). The research also distinguishes between Czech-owned firms and Czech subsidiaries of foreign companies to assess the potential impact of ownership structure. The main findings confirm that female representation on corporate boards in Czech companies remains low. Furthermore, the results suggest that, in most cases, there is no statistically significant correlation between board gender diversity and ROA or ROE. These findings align with some prior studies conducted in the Czech Republic, which indicate that a higher proportion of women on boards does not automatically lead to better financial outcomes, but neither does it negatively affect performance.This thesis explores the relationship between board gender diversity and financial performance in Czech companies. The literature review discusses studies from Europe, America, and Asia. Although gender representation on corporate boards has improved internationally, women remain significantly underrepresented, and this trend persists in Czech companies as well. The author uses a quantitative approach to analyze data from 100 largest Czech companies across five key sectors (industry, trade and hospitality, information and communication, construction, and finance and insurance) over four years (2020-2023). Linear regression analysis was used to examine the relationship between the percentage of women on boards and two financial performance indicators: return on assets (ROA) and return on equity (ROE). The research also distinguishes between Czech-owned firms and Czech subsidiaries of foreign companies to assess the potential impact of ownership structure. The main findings confirm that female representation on corporate boards in Czech companies remains low. Furthermore, the results suggest that, in most cases, there is no statistically significant correlation between board gender diversity and ROA or ROE. These findings align with some prior studies conducted in the Czech Republic, which indicate that a higher proportion of women on boards does not automatically lead to better financial outcomes, but neither does it negatively affect performance
Cloud-Based IoT Applications and Their Roles in Smart Cities
A smart city is an urbanization region that collects data using several digital and physical devices. The information collected from such devices is used efficiently to manage revenues, resources, and assets, etc., while the information obtained from such devices is utilized to boost performance throughout the city. Cloud-based Internet of Things (IoT) applications could help smart cities that contain information gathered from citizens, devices, homes, and other things. This information is processed and analyzed to monitor and manage transportation networks, electric utilities, resources management, water supply systems, waste management, crime detection, security mechanisms, proficiency, digital library, healthcare facilities, and other opportunities. A cloud service provider offers public cloud services that can update the IoT environment, enabling third-party activities to embed IoT data within electronic devices executing on the IoT. In this paper, the author explored cloud-based IoT applications and their roles in smart cities
A Compact Dual-Band Notched UWB Antenna for Wireless Applications
This article presents the design and analysis of a V-shaped ultrawideband (UWB) antenna and dual-band UWB notch antenna. A rectangular slot is cut into a semicircular partial ground plane of the antenna to achieve ultrawide bandwidth. A U-shape slot is etched on a V-shaped patch that radiates, and an inverted U-shape parasitic resonator is placed beside the feedline to generate dual-band notch characteristics. The overall dimension of the proposed antenna is 28×23 mm2. The proposed UWB antenna has a gain of 9.8 dB, S11 11 < −10 dB impedance bandwidth ranging from 3.2 to 11.7 GHz. This antenna also exhibits a stable radiation pattern, group delay <1 ns, and linear phase response throughout the bandwidth except at the rejection frequencies
A Reliable Communication Framework and Its Use in Internet of Things (IoT)
Peoples are naturally communicators but devices are not. In the Internet of Things (IoT) architecture, the smart devices (SDs), sensors, programs and association of smart objects are connected together to transfer information among them. The SD is designed as physical device linked with computing resources that are capable to connect and communicate with another SD through any medium and protocol. The communication among intelligent physical things is a challenging task to exchange information that guaranteed to reach to the destination completely in a real time with the same order as sending without corruption. The reliable communication between physical things can be built in the transmission control protocol (TCP) layers. In TCP layer, the reliable communication is required the error detection, correction and confirmation to exchange information among smart devices. In this paper, the author represents a framework to deal with reliability issues to enable the adoption of IoT devices. The results found the improvement in reliability
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