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Item 1BThe Application of Strategic Foresight in Women's Entrepreneurship Development(Institute of Economic Sciences, 2023) Salamzadeh, Aidin; Rezaei, Haniye; Hadizadeh, Morteza; Yasin, Naveed; Ansari, GolnoushStrategic vision guides governments and societies to overcome gender biases to extol entrepreneurship and achieve targeted business performance. In order to change women's entrepreneurship in societies, strategic foresight is one of the most important resources to be utilized. Strategic foresight offers relevant solutions to these changes for achieving socio-economic benefits and creating sustainable value. Although several studies have been conducted on women's entrepreneurship, identification of its influential factors, and their effect, none has yet studied how strategic foresight can play a role in developing women's entrepreneurship in different countries. Therefore, this study aims to explore the relationship between strategic foresight and female entrepreneurship. The purpose of this study is to examine the link between women's entrepreneurship and strategic foresight capabilities by reviewing relevant literature and background theories. The dimensions of the framework were verified quantitatively using a Delphi research process, SPSS software, and analysis of the gathered questionnaires. The results show that strategic foresight significantly affects women's entrepreneurship through business sustainability. © 2023, Institute of Economic Sciences. All rights reserved.Item 24-epibrasinolide modulates the vase life of lisianthus cut flowers by modulating acc oxidase enzyme activity and physiological responses(MDPI AG, 2021-05) Darvish, Mohammad; Shirzad, Habib; Asghari, Mohammadreza; Noruzi, Parviz; Alirezalu, Abolfazl; Pateiro, Mirian; Takshe, Aseel A.; Lorenzo, José ManuelEthylene is the most important factor playing roles in senescence and deterioration of harvested crops including cut flowers. Brassinosteroids (BRs), as natural phytohormones, have been reported to differently modulate ethylene production and related senescence processes in different crops. This study was carried out to determine the effects of different levels of 24-epibrassinolide (EBL) on ACC oxidase enzyme activity, the final enzyme in ethylene biosynthesis pathway, vase life, and senescence rate in lisianthus cut flowers. Harvested flowers were treated with EBL (at 0, 3, 6, and 9 µmol/L) and kept at 25◦C for 15 days. The ACC oxidase activity, water absorption, malondialdehyde (MDA) production and vase solution absorption rates, chlorophyll and anthocyanin contents, and the vase life of the flowers were evaluated during and at the end of storage. EBL at 3 µmol/L significantly (p ≤ 0.01) enhanced the flower vase life by decreasing the ACC oxidase activity, MDA production and senescence rates, and enhancing chlorophyll and anthocyanin biosynthesis and accumulation, relative water content, and vase solution absorption rates. By increasing the concentration, EBL negatively affected the flower vase life and postharvest quality probably via enhancing the ACC oxidase enzyme activity and subsequent ethylene production. EBL at 6 and 9 µmol/L and in a concentration dependent manner, enhanced the ACC oxidase activity and MDA production rate and decreased chlorophyll and anthocyanin accumulation and water absorption rate. The results indicate that the effects of brassinosteroids on ethylene production and physiology of lisianthus cut flowers is highly dose dependent. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.Item 3D visualization of a timber frame historic building : Partite usage and its impact on the structural system(International Society for Photogrammetry and Remote Sensing, 2017) Gunay, SerkanThroughout their lifetime, historic buildings might be altered for different kind of usage for different purposes. If this new function or new usage requires utilization of the building in separate units, this separation might affect the historic building's functionality and structure and as a result its overall condition. Yorguc Pasa Mansion conservation project was prepared as a part of the Middle East Technical University (METU) Master's Program in Documentation and Conservation of Historic Monuments and Sites for the historic Yorguc Pasa Mansion. The mansion is a 19th century Ottoman Period timber frame building in Amasya, a Black Sea Region city in Turkey that has traces from different civilizations such as Hittites, Greeks, Romans and Ottomans. This paper aims to discuss the affects of the partite usage on structural conditions of timber frame buildings with the case study of Amasya Yorguc Pasa Mansion through the 3D visualized structural systems. © Authors 2017. CC BY 4.0 License.Item A 3G/WiFi-enabled 6LoWPAN-based U-healthcare system for ubiquitous real-time monitoring and data logging(IEEE Computer Society, 2014) Tabish, Rohan; Ghaleb, Abdulaziz M.; Hussein, Rima; Touati, Farid; Mnaouer, Adel Ben; Khriji, Lazhar; Rasid, Mohd Fadlee A.Ubiquitous healthcare (U-healthcare) systems are expected to offer flexible and resilient high-end technological solutions enabling remote monitoring of patients health status in real-time and provisioning of feedback and remote actions by healthcare providers. In this paper, we present a 6LowPAN based U-healthcare platform that contributes to the realization of the above expectation. The proposed system comprises two sensor nodes sending temperature data and ECG signals to a remote processing unit. These sensors are being assigned an IPv6 address to enable the Internet-of-Things (IoT) functionality. A 6LowPAN-enabled edge router, connected to a PC, is serving as a base station through a serial interface, to collect data from the sensor nodes. Furthermore, a program interfacing through a Serial-Line-Internet-Protocol (SLIP) and running on the PC provides a network interface that receives IPv6 packets from the edge router. The above system is enhanced by having the application save readings from the sensors into a file that can be downloaded by a remote server using a free Cloud service such as UbuntuOne. This enhancement makes the system robust against data loss especially for outdoor healthcare services, where the 3G/4G connectivity may get lost because of signal quality fluctuations. The system provided a proof of concept of successful remote U-healthcare monitoring illustrating the IoT functionality and involving 3G/4G connectivity while being enhanced by a cloud-based backup. © 2014 IEEE.Item A Comparative Study of Autoregressive and Neural Network Models: Forecasting the GARCH Process(Springer Science and Business Media Deutschland GmbH, 2022) Kamalov, Firuz; Gurrib, Ikhlaas; Moussa, Sherif; Nazir, AmrilThe Covid-19 pandemic has highlighted the importance of forecasting in managing public health. The two of the most commonly used approaches for time series forecasting methods are autoregressive (AR) and deep learning models (DL). While there exist a number of studies comparing the performance of AR and DL models in specific domains, there is no work that analyzes the two approaches in the general context of theoretically simulated time series. To fill the gap in the literature, we conduct an empirical study using different configurations of generalized autoregressive conditionally heteroskedastic (GARCH) time series. The results show that DL models can achieve a significant degree of accuracy in fitting and forecasting AR-GARCH time series. In particular, DL models outperform the AR-based models over a range of parameter values. However, the results are not consistent and depend on a number of factors including the DL architecture, AR-GARCH configuration, and parameter values. The study demonstrates that DL models can be an effective alternative to AR-based models in time series forecasting. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.Item A Comparative Study of Post-Quantum Cryptographic Algorithm Implementations for Secure and Efficient Energy Systems Monitoring(Multidisciplinary Digital Publishing Institute (MDPI), 2023-09) Satrya, Gandeva Bayu; Agus, Yosafat Marselino; Mnaouer, Adel BenThe Internet of Things (IoT) has assumed a pivotal role in the advancement of communication technology and in our daily lives. However, an IoT system such as a smart grid with poorly designed topology and weak security protocols might be vulnerable to cybercrimes. Exploits may arise from sensor data interception en route to the intended consumer within an IoT system. The increasing integration of electronic devices interconnected via the internet has galvanized the acceptance of this technology. Nonetheless, as the number of users of this technology surges, there must be an aligned concern to ensure that security measures are diligently enforced within IoT communication systems, such as in smart homes, smart cities, smart factories, smart hospitals, and smart grids. This research addresses security lacunae in the topology and configuration of IoT energy monitoring systems using post-quantum cryptographic techniques. We propose tailored implementations of the Rivest–Shamir–Adleman (RSA), N-th degree Truncated Polynomial Ring Units (NTRU), and a suite of cryptographic primitives based on Module Learning With Rounding (Saber) as post-quantum cryptographic candidate algorithms for IoT devices. These aim to secure publisher–subscriber end-to-end communication in energy system monitoring. Additionally, we offer a comparative analysis of these tailored implementations on low-resource devices, such as the Raspberry Pi, during data transmission using the Message Queuing Telemetry Transport (MQTT) protocol. Results indicate that the customized implementation of NTRU outperforms both SABER and RSA in terms of CPU and memory usage, while Light SABER emerges as the front-runner when considering encryption and decryption delays. © 2023 by the authors.Item A Comprehensive Review on Big Data Challenges(Institute of Electrical and Electronics Engineers Inc., 2023) Bharany, Salil; Taleb, Nasser; Sadiq, M. Tariq; Kanwal, Nayab; Abdelhakim, Mohamed; Ghazal, Taher M.; Pradhan, Manas; Rehman, Ateeq UrItem A computational numerical performance for solving the mathematical epidemiological model based on influenza disease(Elsevier B.V., 2022-09) Jain, Sonal; Leung, Ho-Hon; Kamalov, FiruzUnderstanding epidemic propagation patterns and assessing disease control measures require the use of mathematical and computational methodologies. In recent years, complexity science, management science, sociology, and computer science have all been progressively merged with epidemiology. The interdisciplinary collaboration has sped up the development of computational and mathematical methods for simulating epidemics. The model with the classical time derivative in the influenza disease model is formulated with the Caputo (power-law kernel), Caputo–Fabrizio (exponential kernel), and the novel Atangana–Baleanu fractional derivatives which combined both nonlocal and non-singular properties. Also this article presents the boundness and positiveness Solutions for the influenza model. The analysis of the equilibrium point is also given. Various published articles have utilized the reproductive number notion to investigate disease-spread stability. There were certain conditions proposed to predict whether there would be stability or instability. It was also advised that an analysis be conducted to discover the conditions under which infectious classes will grow or die out. Some authors pointed out that the reproductive number is limited, including its inability to fairly aid in understanding distribution patterns. The concept of strength number and analysis of derivatives of mathematical models were presented to help in understanding the disease model. Further, the stability of disease-free and endemic equilibrium is presented. Finally, a numerical solution with simulation is given. We hope to use these extra studies in a basic model to forecast the future of this research. © 2022 The Author(s)Item A Future Approach For Energy Harvesting In Trains Using Piezoelectricity(Institute of Electrical and Electronics Engineers Inc., 2023) Majeed, Salih Rashid; Al-Thaedan, Abbas; Shakir, Zaenab; Shafy, Amir A. Omran; Alsabah, Ruaa; Al-Sabbagh, AliItem A graphical user interface simulator for wireless sensor networks lifetime estimation.(2010) Ben Salem M.; Hamam H.Item A new watermarking scheme for digital videos using DCT(Walter de Gruyter GmbH, 2022-01-01) Al-Gindy, Ahmed; Omar, Aya Al-Chikh; Mashal, Omar; Shaker, Yomna; Alhogaraty, Eslam; Moussa, SherifWith the advent of high-speed broadband Internet access, the need to protect digital videos is highly recommended. The main objective of this study is to propose an adaptive algorithm for watermarked digital videos in the frequency domain based on discrete cosine transform (DCT). The watermark signature image is embedded into the whole frame of the video. The green channel of the RGB frame is selected for the embedding process using the DCT algorithm as it shows the recommended quality of the watermarked frames. The experiment results indicate that the proposed algorithm shows robustness and high quality of the watermarked videos by testing various strength values Δ for different videos. It offers resistance against different types of attacks. © 2022 Ahmed Al-Gindy et al., published by De Gruyter.Item A NOTE ON THE AUTOCOVARIANCE OF p-SERIES LINEAR PROCESS(Canadian University of Dubai, 2020-12-01) Kamalov, FiruzIn this note, we provide tight boundaries for the autocovariance function of a stochastic linear process with p-series coefficients. © 2020, Canadian University of Dubai. All rights reserved.Item A note on time series differencing(Canadian University of Dubai, 2021-05-11) Kamalov, FiruzDifferencing is one of the key tools time series analysis. It is com-monly used to obtain stationary time series. In this note, we show that the nth difference of a weakly stationary time series is weakly stationary. Similarly we prove that the nth difference of a strictly stationary time series is strictly stationary. We also consider the effect of differencing on the time series auto-covariance. © 2021, Canadian University of Dubai. All rights reserved.Item A Predictive Model to Diagnose Psychophysiological Insomnia with Daytime Hyperarousal and Nighttime Micro–Macro-Structures Correlation(Springer, 2023) Ghermezian, Ali; Nami, Mohammad; Shalbaf, Reza; Khosrowabadi, Reza; Nasehi, MohammadItem A Proposed Architecture for Traffic Monitoring Control System via LiFi Technology in Smart Homes(Institute of Electrical and Electronics Engineers Inc., 2022) Asif, Muhammad; Khan, Tahir Abbas; Taleb, Nasser; Said, Raed A.; Siddiqui, Shahan Yamin; Batool, GhanwaItem A review of the environmental implications of the COVID-19 pandemic in the United Arab Emirates(Elsevier B.V., 2022-08) Alalawi, Shaikha; Issa, Sahar T.; Takshe, Aseel A.; ElBarazi, IffatThis paper reviews the environmental implications associated with the COVID-19 pandemic at the individual and community levels in the UAE. The positive effects emanating from the pandemic include improved air quality and reduced contamination of public spaces with pollutants. On the other hand, far-reaching negative effects include poor disposal of medical plastic waste and facemasks and the rise in unhygienic health practices amongst residents of UAE. The long-term ecological implications of the pandemic are still not well understood. The findings shed the light on the importance of addressing the consequences of the COVID-19 pandemic through preventative policies and strategies for better environmental health and readiness for future crises. Future research could assess the long-term environmental conse-quences of the pandemic on the UAE. © 2022Item A Review on Numerical Modeling of the Hygrothermal Behavior of Building Envelopes Incorporating Phase Change Materials(Multidisciplinary Digital Publishing Institute (MDPI), 2023-12) Sawadogo, Mohamed; Godin, Alexandre; Duquesne, Marie; Hamami, Ameur El Amine; Belarbi, RafikBuildings are submitted to various external and internal solicitations that could affect its energy performance. Among these solicitations, temperature and moisture play a crucial role and could irrevocably affect the comfort of the occupants and the indoor air quality of the living environment. To assess the impact of the solicitation on building performance, a precise modeling of the heat, air, and moisture transfer phenomenon is necessary. This work proposes an extensive review of the hygrothermal models for building envelopes. The different models are divided into nodal and HAM techniques for heat, air, and moisture (HAM) transfer models. The HAM approach has been classified based on four driving potentials: moisture content, relative humidity, capillary pressure, and vapor pressure. Phase change materials (PCMs), alongside hygroscopic materials, enhance building thermal capacity and energy efficiency. There are various approaches to studying phase changes, with enthalpy-based and heat capacity approaches being the most popular. Building performance can be improved by combining PCM thermal inertia with hygroscopic moisture management. This review has exhibited the need for numerical models that address phase change and moisture behavior in these hybrid materials, capable of controlling temperature and humidity. © 2023 by the authors.Item A review on recent research on bio-based building materials and their applications(Springer Science and Business Media Deutschland GmbH, 2023-08) Bourbia, S.; Kazeoui, H.; Belarbi, R.Bio-based materials represent a promising alternative in building envelope applications, with the aim of improving in-use energy efficiency. They have the advantage of being renewable, low embodied energy and CO2 neutral or negative. In addition, they are excellent thermal regulators. This paper presents an overview of the state-of-the-art of bio-based materials used in building construction and their applications. The materials outlined include hemp, wood, date palm wood, cork, alfa and straw. Through this literature study we want to get a broad overview of the current state of theoretical and experimental studies of their hygrothermal characteristics and their thermal and energy performances. The aim is not to be exhaustive but to summarise the most important research results on these materials. This is the first part of a research work that deals with the contribution to the development of a new bio-based construction material to be used in building. © 2023, The Author(s).Item A Roadmap for SMEs to Adopt an AI Based Cyber Threat Intelligence(Springer Science and Business Media Deutschland GmbH, 2023) Varma, Abhilash J.; Taleb, Nasser; Said, Raed A.; Ghazal, Taher M.; Ahmad, Munir; Alzoubi, Haitham M.; Alshurideh, MuhammadCybersecurity has started to become the most significant concern among organizations as the number of threats and criminal activities in the past decade has increased exponentially. Cybercriminals and their attacking techniques have become increasingly sophisticated over the past couple of years. Conventional security measures will no longer be able to detect and mitigate the propagation of such advanced attacking trends. More and more hackers have started focusing on Small and medium-sized enterprises (SMEs) taking advantage of their limited resources. Therefore, SMEs will have to quickly adopt Artificial Intelligence (AI) based cybersecurity system in their infrastructure to defend themselves effectively and efficiently. It is currently forecasted that by 2021, 75% of all organizations will use AI and Machine learning (ML) applications in their security architecture to protect against all cyber threats. In this paper, the researchers identify the various challenges faced by SMEs in adopting an AI based cybersecurity due to their knowledge gap and lack of expertise. The researcher intends to provide a good background on AI, Cyber Threat Intelligence (CTI) and highlight some of the significant benefits provided by an AI based CTI system. A simple roadmap is developed using a qualitative research methodology to help SMEs effectively implement an AI based Cyber Threat Intelligent system in their infrastructure. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.Item A Secure Peer-to-Peer Image Sharing Using Rubik's Cube Algorithm and Key Distribution Centre(Sciendo, 2023-09-01) Cherukuri, Aswani Kumar; Sannuthi, Shria; Elagandula, Neha; Gadamsetty, Rishita; Singh, Neha; Jain, Arnav; Sumaiya Thaseen I.; Priya V.; Jonnalagadda, Annapurna; Kamalov, FiruzIn this work, we build upon an implementation of a peer-to-peer image encryption algorithm: "Rubik's cube algorithm". The algorithm utilizes pixel-level scrambling and XOR-based diffusion, facilitated through the symmetric key. Empirical analysis has proven this algorithm to have the advantage of large key space, high-level security, high obscurity level, and high speed, aiding in secure image transmission over insecure channels. However, the base approach has drawbacks of key generation being handled client-side (at nodes) and the process is time-consuming due to dynamically generating keys. Our work solves these issues by introducing a Key Distribution Center (KDC) to distribute symmetric keys for transmission, increasing confidentiality, and reducing key-generation overhead on nodes. Three approaches utilizing the KDC are presented, communicating the dimensions with KDC to generate keys, standardizing any image to fixed dimensions to standardize key-generation, and lastly, using a single session key which is cyclically iterated over, emulating different dimensions. © 2023 Aswani Kumar Cherukuri et al., published by Sciendo.