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                  <text>International Journal of China Studies</text>
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                  <text>The University of Malaya, Kuala Lumpur</text>
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                <text>OMIDI, Ali</text>
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                <text>FALLAHI, Ehsan</text>
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                <text>ZIABARI, Kourosh</text>
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                <text>2022-05-06</text>
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                <text>In order to repel US pressures, Tehran has perpetually aligned itself with major non-Western powers through a ‘Look to the East policy’ with focus mainly on China. Iran and China are opposed to the United States’ so-called unilateralism and are similarly categorized as revisionist states which this common attitude culminated into the signature of the 25-year cooperation agreement in March 2021. But, China prioritizes its national interests defined by economic pragmatism; and its complex economic interdependence with the world economy has made it conservative. The present article analyzes this question of why China has been conservative in shielding Iran against the US’s paralyzing sanctions in Donald Trump’s era. It argues that the Chinese global strategy and its economic pragmatism require it to make compromises with the United States and Arab states alike, and at the same time, to preserve relationships with Iranwith the least political-economic expenses.</text>
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                <text>https://ejournal.um.edu.my/index.php/IJCS/article/view/36512</text>
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                <text>eng</text>
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                <text>Institute of China Studies, Universiti Malaya</text>
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                <text>https://ejournal.um.edu.my/index.php/IJCS/article/view/36512/14481</text>
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                <text>Copyright (c) 2022 INTERNATIONAL JOURNAL OF CHINA STUDIES</text>
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                <text>INTERNATIONAL JOURNAL OF CHINA STUDIES; International Journal of China Studies Vol.12 No.2 December 2021; 295-318</text>
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                <text>2180-3250</text>
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                <text>Analyzing the Contrast between Chinese Economic Pragmatism and Iranian “Look to East” Optimism</text>
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                  <text>International Journal of Interactive Mobile Technologies (iJIM)</text>
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            <name>Creator</name>
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                <text>Shaimaa Hameed Shaker</text>
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                <text>Farah Qais Al-Kalidi</text>
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                <text>Raheem Ogla</text>
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                <text>Iris-biometrics are an alternative way of authenticating and identifying a person because biometric identifiers are unique to people. This paper introduces a method aims to efficient human identification by enhanced iris detection method within acceptable time. After preparing various type of images, then perform a series of pre-processing steps and standardize them, after that use Uni-Net learning, so identify the human by Navie-Bays method is the last step based on the output of Uni-Net which is role as feature extractor for the iris part and another sub-net for non-iris part that may involve identification-outcome. The outcome of this method looked good compared to some high-level methods, so, was accuracy-rate 9855, 99.25, and 99.81 for CASIA-v4, ITT-Delhi, and MMU-database respectively. Also, this paper introduces a method of iris recognition using CNN model which is improved the preprocessed patterns that together from dataset applied some procedures to develop them based on techniques of equalization and acclimate contrast ones. After that characteristic extracted and classified using CNN that comprises of 10 layers with back-propagation schema and adjusted moment evaluation Adam-optimizer for modernize weights. The overall accuracy was 95.31% with utilization time 17.58 (mints) for training-model.</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/36433</text>
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                <text>10.3991/ijim.v16i24.36433</text>
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                <text>eng</text>
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                <text>International Association of Online Engineering (IAOE), Vienna, Austria</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/36433/12465</text>
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          <element elementId="47">
            <name>Rights</name>
            <description>Information about rights held in and over the resource</description>
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              <elementText elementTextId="53352">
                <text>Copyright (c) 2022 Shaimaa Hameed Shaker, Farah Qais Al-Kalidi, Raheem Ogla</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 16 No. 24 (2022); pp. 154-169</text>
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              <elementText elementTextId="53355">
                <text>1865-7923</text>
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          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
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                <text>Identification, Biological data measures, Deep Structured-Learning, UniNet, Fully Connected Neural Network, Convolutional Deep Neural Network, Eyeiris detection</text>
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                <text>Identification Based on Iris Detection Technique</text>
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                <text>Peer-reviewed Article</text>
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          <description>The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.</description>
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            <element elementId="50">
              <name>Title</name>
              <description>A name given to the resource</description>
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                <elementText elementTextId="15984">
                  <text>International Journal of Interactive Mobile Technologies (iJIM)</text>
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      <name>Dataset</name>
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          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
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              <elementText elementTextId="54744">
                <text>Farah Tawfiq Abdul Hussien</text>
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              <elementText elementTextId="54745">
                <text>Teaba Wala Aldeen Khairi</text>
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            <name>Date</name>
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              <elementText elementTextId="54746">
                <text>2023-05-22</text>
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            <description>An account of the resource</description>
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                <text>I
n these days of technology, the usage of images has become increasingly high especially now that almost everyone has access to internet. Also, image helps us to learn, grabs our attention, explains complicated concepts as well as inspires us. Sharing these images is essential and therefore image encryption algorithms are proposed to secure the transmission of these image from many types of attacks such as Man-in-the-middle attack (MITM). In this paper, we proposed a hybrid security system that consist of Elliptic Curve Cryptography (ECC) and Advanced Encryption System (AES). Where ECC is used to generate private/public keys and AES is for encryption and decryption of the image using the ECC generated keys. The system works as follows; it begins by inserting the image to be encrypted which is “lena.png” of size 256*256 and passing it to AES Algorithm along with the generated public key. Then, in AES algorithm, the public key is hashed then used to encrypt the image with AES encryption algorithm. On the other hand, the decryption algorithm works as follows; inserting the encrypted image then calculating the decryption key to use it to decrypt the image using AES decryption algorithm. Finally, our experimental results shows that the National Institute of Standards and Technology (NIST) test shows that the ECC generated keys have better randomness than using only AES generated keys. Also, the encrypted image histogram show that the image pixels values are well distributed across all three channels R, G and B. This shows that the hybrid system is a step further to get a more secure image encryption system against attacks with the generated ECC keys. To get further, Logistic chaotic map has been used to encrypt images for comparison purposes with AES and ECC generated images in terms of randomness, security and histogram</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/38787</text>
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                <text>10.3991/ijim.v17i10.38787</text>
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                <text>eng</text>
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                <text>International Association of Online Engineering (IAOE), Vienna, Austria</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/38787/13225</text>
              </elementText>
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          <element elementId="47">
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            <description>Information about rights held in and over the resource</description>
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              <elementText elementTextId="54754">
                <text>Copyright (c) 2023 Haider TH.Salim ALRikabi, Farah Tawfiq Abdul Hussien, Teaba Wala Aldeen Khairi</text>
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              <elementText elementTextId="54755">
                <text>https://creativecommons.org/licenses/by/4.0</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 17 No. 10 (2023); pp. 193-211</text>
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              <elementText elementTextId="54757">
                <text>1865-7923</text>
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          <element elementId="49">
            <name>Subject</name>
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                <text>Man-in-the-middle attack (MITM); Elliptic Curve Cryptography (ECC); Advanced Encryption System (AES); National Institute of Standards and Technology (NIST)</text>
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            <elementTextContainer>
              <elementText elementTextId="54759">
                <text>Performance Evaluation of AES, ECC and Logistic Chaotic Map Algorithms in Image Encryption</text>
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                  <text>International Journal of Interactive Mobile Technologies (iJIM)</text>
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            <name>Creator</name>
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              <elementText elementTextId="51573">
                <text>Imad Mhaibes, Hakeem</text>
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                <text>Hattim Abood, May</text>
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              <elementText elementTextId="51575">
                <text>Farhan, Alaa</text>
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                <text>2022-10-31</text>
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                <text>The internet of things (IoT) revolution has been sparked by the exponential increase in connected devices caused by recent advances in wireless technology. These embedded devices gather, analyze, and send vast data via the network. Data transmission security is a primary problem in IoT networks. Several lightweight encryption/decryption algorithms have been developed for such resource-constraint devices. One of most effective and fast lightweight encryption algorithms for IoT applications is the Tiny Encryption Algorithm (TEA). TEA has few lines source of codes to implement and based on Feistel structure to provide cryptographic primitive confusion and diffusion features in order to hide statistical aspects of plaintext. However, it is vulnerable to assaults using equivalent and related key attacks. This study suggested modifying TEA by employing a new proposed generating keys function using two Linear Feedback Shift Registers (LFSRs) as a combination to address the security flaw caused by utilizing different keys for each round function. The key sensitivity, Avalanche effect, and a completeness test were used to evaluate its security performance. The key sensitivity of the proposed modified TEA outperforms original TEA by 50.18 % to 44.88 %. The modified TEA avalanche effect outperforms TEA by 52.57 % to 47.69 %, and its completeness test outperforms TEA by 51.75 % to 48.36 %. Experimental results indicates that, the encryption performance of proposed modified TEA is better than original TEA.</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 16 No. 20 (2022); pp. 98-113</text>
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                <text>1865-7923</text>
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                <text>IoT, Information Security, Block Cipher, LFSR, Lightweight Cryptography, Feistel Structure</text>
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                <text>Smartphone usage is increasing due to several features and opportunities offered by manufacturers and service providers. Existing literature attributes this increased usage to the availability of virtual assistants, mainly voice assistants, that ensure users' facility and maximum benefit. This research also focused on the factors behind voice assistant usage, particularly in iPhones among users in the United Arab Emirates. Notably, the conceptual framework in this research is supported by the Theory of Reasoned Action. The researchers adopted a cross-sectional design and gathered data from n= 251 respondents. Data analysis through Structural Equation Modelling revealed that, Perceived Ease of Use, Subjective Norms, and Perceived Behavioral Control work as significant factors contributing to iPhone-based voice assistant usage. On the other hand, Expectation Confirmation also works as a significant factor in Siri usage. On the other hand, Satisfaction significantly mediated (p&amp;gt; .022) the users’ Expectation Confirmation leading to Siri usage among the respondents. Further, the Artificial Neural Network Analysis (ANN) revealed an overall accuracy regarding Training at 14.8% and 30.8% concerning Testing. Thus, it is concluded that the devices accompanied by ease of use are preferred due to their distinguished services. In this regard, highlighting voice assistants' help also reflects the importance of technology in our daily lives. Especially mobile computing is playing a significant role in improving our everyday technology experiences.</text>
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                <text>Copyright (c) 2022 Faycal FARHI, RIADH JELJELI; Ala'aldin Zahra, Salami  Saidani; Leila  Feguiri</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 17 No. 02 (2023); pp. 42-61</text>
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                <text>1865-7923</text>
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                <text>Artificial Intelligence; Mobile-computing; iPhone; Siri; Voice Assistance; United Arab Emirates</text>
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                <text>Factors Behind Virtual Assistance Usage Among iPhone Users: Theory of Reasoned Action</text>
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                <text>Marín, Gloria Jiménez</text>
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                <text>Marcos, Paloma Sanz</text>
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                <text>— In these days of online commerce, we need to know the real behavior of consumers in physical stores: the points of sale must anticipate the purchasing decisions of consumers in order to be able to offer the best buying experience as well as tailor the marketing variables to the specific needs of each consumer. This is where retail intelligence emerges, especially in the textile industry, as a potential technology that makes use of extremely large data sets (“big data”) to engage potential customers better in order to increase company sales. The objective of this study is to show how big data can be effectively leveraged for direct and clear commercial purposes in textile stores. The development of research is based on the analysis of the application of systematic observation of consumer behavior in three main streets in Spain known for textile retail stores and interpreting their differences. The results show that data collected through various point-of-sale devices have a significant influence on retail revenue. The differences between commercial areas and the relative attractiveness of the textile trade in different cities are also borne out by the results. The main conclusions point to the need to improve the profitability of textile fashion stores on the back of promotional tactics that focus on the number of estimated customers and the possibilities of selling to them. All of the aforesaid have a significant influence on how advertising planning is carried out for retail stores.</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/14359</text>
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                <text>International Association of Online Engineering (IAOE), Vienna, Austria</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/14359/7653</text>
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                <text>Copyright (c) 2020 Gloria Jiménez Marín, Paloma Sanz Marcos, Irene Garcia Medina, Patricia Margarida Farias Coelho</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 14 No. 13 (2020); pp. 65-77</text>
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                <text>1865-7923</text>
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                <text>Advertising</text>
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                <text>big data</text>
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                <text>textile</text>
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                <text>smart data</text>
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                <text>How Big Data Collected Via Point of Sale Devices in Textile Stores in Spain Resulted in Effective Online Advertising Targeting</text>
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                <text>Mourlin, Fabrice Pascal</text>
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                <text>The data storage in mobile cloud computing domain is an important subject because of the large amount of data devices can provide. Different kinds of sensors retrieve information and send them to data storages. But the storage location can move even dynamically during their uses. So, these changes must be managed at runtime. In the other part, Android devices are good computers to acquire information and send them to a storage area. These devices are well-known, ergonomic and useful machines sorely used. In this paper, we present a software architecture from Android devices to Cloud storage areas to put down data when the data stores are dynamically moving. The different parts of these distributed applications are built around Android with JSON messages for REST services and moving NoSQL databases in the Google app engine. The exchanges between the cloud and the Android devices use the Google Cloud Messaging (GCM) protocol. Furthermore, even without network access, the saving is made locally in the smartphone. The synchronization with distant databases is automatically made when the network becomes again available.</text>
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                <text>10.3991/ijim.v13i03.8086</text>
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                <text>International Association of Online Engineering (IAOE), Vienna, Austria</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/8086/5545</text>
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                <text>Copyright (c) 2019 Fabrice Pascal Mourlin, Jean-Marc Farinone</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 13 No. 03 (2019); pp. 13-28</text>
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                <text>1865-7923</text>
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                <text>Cloud Mobile Storage for Mobile Applications</text>
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                <text>This paper aims to answer the primary research question: Is just culture compatible with Defence Forces Leadership Doctrine (DFLD)? Current DFLD provides an organisational framework intended to embed the cultural values, attributes, skills, and actions that contribute to leadership development, throughout all Defence Forces (DF) services. Unique within DFLD, the Irish Air Corps (IAC) advocate the practice of ‘just culture’ which centres around principles designed to create an environment of trust and accountability. Subsequently, these contribute to organisational learning and improvement as a consequence of addressing safety related systems failures while adopting a culpability mindset. If DF strategic leadership intend to advocate and foster cultural change throughout the organisation there must first be an acknowledgement that change takes time. The DF faces two challenges in introducing cultural change, firstly identifying organisational barriers to change, secondly how to overcome them.
This paper argues that if the DF seeks to foster a culture that sets the conditions for honest disclosure it must embrace collective learning as a consequence of mistakes. Significantly, &amp;nbsp;research revealed that there is a desire among organisational leadership to address this cultural void through the introduction of a parallel reporting system which is voluntary, nonpunitive and protected throughout the DF. Essentially, the adoption of just culture can only be validated if there is organisational buy in which is dependent on a cycle of trust and its advocacy by leadership emanating from within leadership doctrine.</text>
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                <text>Copyright (c) 2023 Journal Of Military History and Defence Studies</text>
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                <text>Journal Of Military History and Defence Studies; Vol. 4 No. 1 (2023): Journal of Military History and Defence Studies; 79-115</text>
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                <text>2712-0171</text>
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                <text>Just Culture</text>
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                <text>Is Just Culture Compatible With Irish Defence Forces Leadership Doctrine?</text>
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                  <text>International Journal of Interactive Mobile Technologies (iJIM)</text>
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                <text>Islam, Gazi Zahirul</text>
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                <text>Hossain, Md. Mobarak</text>
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                <text>Hasan, Nayeem</text>
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                <text>Khan, Md. Khalid Mahbub</text>
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                <text>Gas Leakage and its fatal effects are a great concern throughout the world, especially in developing countries like Bangladesh. Every year lots of people died and countless damages to assets occur due to the fire caused by the gas leakage. Not only that but gas leakage and explosion are also very harmful to the climate. Thus, a system to detect gas leakage and preventive measures is of utmost importance. In this project, we design and implement an intelligent IoT prototype to detect gas leakage, and the fire caught by gas leakage. Our goal is to minimize the effect of gas leakage by taking some protective measures. When the gas sensor, detects the gas leakage, the solenoid valve shuts off the gas line, and the exhaust fan starts to run. Again, when the flame sensor detects a fire, the sucker throws the fire extinguisher balls to the fire. The GSM SIM module notifies the user by sending a message to his smartphone. The buzzer sounds when a mishap occurs and the LCD monitor always shows the status of the system. In this way, we have efficiently designed and implemented a low-cost and intelligent gas leak detection and fire suppression system.</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/30311</text>
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                <text>10.3991/ijim.v16i21.30311</text>
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                <text>Copyright (c) 2022 Gazi Zahirul Islam, Md. Mobarak Hossain, Md. Faruk, Fernaz Narin Nur, Nayeem Hasan, Zerin Nasrin Tumpa, Md. Khalid Mahbub Khan</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 16 No. 21 (2022); pp. 49-70</text>
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                <text>1865-7923</text>
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                <text>Internet of Things</text>
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                <text>Intelligent System</text>
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                <text>Smart IoT prototype</text>
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                <text>IoT-Based Intelligent Gas Leakage Detection and Fire Protection System</text>
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                <text>Mashwama, Petros</text>
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                <text>Fashoto, Stephen Gbenga</text>
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                <text>Gwebu, Simanga</text>
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                <text>Mobile Inter-vehicular communication network is an ad hoc network that allows peer vehicles to share and receive data. The existing inter-vehicular communication approach uses data from a limited number of data sources located in distant areas. This leads to high latency caused by the short-range antennas used to connect the peers. Inter-vehicular networks are dynamic and self-organized networks that do not use any external infrastructure to send and receive data. Currently, inter-vehicular networks only exist as part of a hybrid system and hence there is a need for a faster inter-vehicular network which can function independently. In this study, we developed a model which uses the gossip algorithm to send and receive data. The results show that over time, in a peer-to-peer network, the distance to be covered and the delay time are reduced. In the current models, however, the delay and distance covered remain constant. The results show that a peer-to-peer model is faster. </text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/12949</text>
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                <text>10.3991/ijim.v14i11.12949</text>
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                <text>Copyright (c) 2020 Petros Mashwama, Stephen Gbenga Fashoto, Simanga Gwebu</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 14 No. 11 (2020); pp. 4-21</text>
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              <elementText elementTextId="33846">
                <text>1865-7923</text>
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                <text>Autonomous</text>
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