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                  <text>International Journal of Interactive Mobile Technologies (iJIM)</text>
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                <text>Alsarhan, Ayoub</text>
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                <text>alkhawaldeh, Omar</text>
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                <text>Cloud security vulnerabilities have recently become more prevalent around the world, posing a threat to cloud service providers' (CSPs) ability to respond to client demands. In cloud market, the requests are announced by the client nodes to their CSP. A malicious node can alter a client's request, resulting in the next cloud market collapse, decreased reliability, and data leaking.To identify malicious nodes in the cloud market, a novel fuzzy multiple criterion decision making scheme is suggested. Authentication test, trust level, traffic size, and node activity levels are all taken into consideration simultaneously as the major criteria for identifying malicious nodes. For each node, the CSP uses fuzzy Integral to generate a composite value based on these criteria. The malicious node is then removed from the cloud market using this composite value. The simulation results demonstrated the potential of the proposed method to prevent nodes in the cloud market from running malware or software that can be used to degrade quality of service by exhausting resources in the cloud market.</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/27933</text>
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                <text>10.3991/ijim.v16i03.27933</text>
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                <text>International Association of Online Engineering (IAOE), Vienna, Austria</text>
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                <text>Copyright (c) 2022 Ayoub Alsarhan, Abdel-Rahman Al-Ghuwairi, Esra'a Alshdaifat, Hasan Idhaim, Omar alkhawaldeh</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 16 No. 03 (2022); pp. 136-150</text>
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                <text>1865-7923</text>
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                <text>intrusion detection</text>
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                <text>cloud market</text>
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                <text>multiple criterion decision making</text>
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                <text>fuzzy Integral</text>
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                <text>malicious nodes</text>
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                <text>A Novel Scheme for Malicious Nodes Detection in Cloud Markets Based on Fuzzy Logic Technique</text>
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                  <text>Journal of Naval Architecture and Marine Engineering</text>
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                <text>Thuvanismail, Nasar</text>
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                <text>Sannasi, Sannasiraj</text>
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                <text>Vallam, Sundar</text>
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                <text>In order to explore the physics implicated with the sloshing phenomenon subjected to independent regular sway, heave and roll excitations of the liquid tank system, theoretical studies are carried out. Four liquid fill levels with static liquid depth, hs, to the length, l of aspect ratio (hs/l) 0.163, 0.325, 0.488 and 0.585, are considered. The energy spectra of sloshing oscillation, their qualitative assessment and the harmonics present in the sloshing oscillation are studied. Frequency Response amplitude has also been presented. The study reveals that sway excites a particular mode of sloshing (primary harmonic) by fulfilling the resonance conditions and also excites secondary modes. However, the roll motion excites the first mode of sloshing irrespective of the excitation frequencies. The heave motion excites the particular mode which is assumed as an initial perturbation.DOI: http://dx.doi.org/10.3329/jname.v10i2.16215 </text>
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                <text>https://www.banglajol.info/index.php/JNAME/article/view/16215</text>
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                <text>10.3329/jname.v10i2.16215</text>
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                <text>eng</text>
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                <text>Association of Naval Architects and Marine Engineers</text>
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                <text>https://www.banglajol.info/index.php/JNAME/article/view/16215/12248</text>
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                <text>https://www.banglajol.info/index.php/JNAME/article/view/16215/26894</text>
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              <elementText elementTextId="66446">
                <text>Journal of Naval Architecture and Marine Engineering; Vol. 10 No. 2 (2013); 119-138</text>
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                <text>2070-8998</text>
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                <text>1813-8535</text>
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                <text>Regular wave</text>
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                <text>perturbation</text>
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                <text>first mode</text>
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                <text>primary resonance</text>
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                <text>parametric resonance</text>
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                <text>barge</text>
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                <text>pitching</text>
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            <name>Title</name>
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              <elementText elementTextId="66456">
                <text>A numerical study: liquid sloshing dynamics in a tank due to uncoupled sway, heave and roll ship motions</text>
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            <name>Type</name>
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            <element elementId="50">
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                <elementText elementTextId="64218">
                  <text>Journal of Naval Architecture and Marine Engineering</text>
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          <element elementId="39">
            <name>Creator</name>
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              <elementText elementTextId="67793">
                <text>Xu, Yiyi</text>
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              <elementText elementTextId="67794">
                <text>Liu, Pengfei</text>
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              <elementText elementTextId="67795">
                <text>Penesis, Irene</text>
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              <elementText elementTextId="67796">
                <text>He, Guanghua</text>
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              <elementText elementTextId="67797">
                <text>2019-12-19</text>
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                <text>A computational hydrodynamics method was formulated and implemented as a tool from screw propeller propulsion to renewable energy performance prediction, design and optimization of horizontal axis turbines. As an example for tidal energy generation, a comparative analysis between screw propellers and horizontal axis turbines was presented, in terms of geometry and motion parameters, inflow velocity analysis and the implementation methodologies. Comparison and analysis are given for a marine propeller model and a horizontal axis turbine model that have experimental measurements available in literature. Analysis and comparison are presented in terms of thrust coefficients, shaft torque/power coefficients, blade surface pressure distributions, and downstream velocity profiles. The effect of number of blades from 2 to 5, of a tidal turbine on hydrodynamic efficiency is also obtained and presented. The key implementation techniques and methodologies are provided in detail for this panel method as a prediction tool for horizontal axis turbines. While the method has been proven to be accurate and robust for many propellers tested in the past, this numerical tool was also validated and presented for both tidal and wind turbines.</text>
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                <text>https://www.banglajol.info/index.php/JNAME/article/view/35984</text>
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                <text>10.3329/jname.v16i2.35984</text>
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                <text>eng</text>
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              <elementText elementTextId="67803">
                <text>Association of Naval Architects and Marine Engineers</text>
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          <element elementId="46">
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              <elementText elementTextId="67804">
                <text>https://www.banglajol.info/index.php/JNAME/article/view/35984/32541</text>
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          <element elementId="47">
            <name>Rights</name>
            <description>Information about rights held in and over the resource</description>
            <elementTextContainer>
              <elementText elementTextId="67805">
                <text>Copyright (c) 2019 Journal of Naval Architecture and Marine Engineering</text>
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              <elementText elementTextId="67806">
                <text>Journal of Naval Architecture and Marine Engineering; Vol. 16 No. 2 (2019); 61-76</text>
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                <text>2070-8998</text>
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                <text>1813-8535</text>
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          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
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              <elementText elementTextId="67809">
                <text>Panel Method</text>
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              <elementText elementTextId="67810">
                <text>Marine propeller</text>
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                <text>renewabale energy turbine</text>
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                <text>aero-dynamics</text>
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                <text>hydrodynamics</text>
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                <text>A panel method for both marine propulsion and renewable energy</text>
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                  <text>International Journal of Interactive Mobile Technologies (iJIM)</text>
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              <elementText elementTextId="54625">
                <text>Raghad Abdulaali Azeez</text>
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                <text>Abeer Salim Jamil</text>
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              <elementText elementTextId="54627">
                <text>Mohammed Salih Mahdi</text>
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                <text>User confidentiality protection is concerning a topic in control and monitoring spaces. In image, user's faces security in concerning with compound information, abused situations, participation on global transmission media and real-world experiences are extremely significant. For minifying the counting needs for vast size of image info and for minifying the size of time needful for the image to be address computationally. consequently, partial encryption user-face is picked. This study focuses on a large technique that is designed to encrypt the user's face slightly. Primarily, dlib is utilizing for user-face detection. Susan is one of the top edge detectors with valuable localization characteristics marked edges, is used to extract features vectors from user faces. Moreover, the relevance of the suggested generating key is led to a crucial role in security improvement by producing them as difficult to intruders. According to PSNR values, the recommended encryption algorithms provided an adequate outcome in the encryption, they had a lower encrypting duration and a larger encrypting impact.</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 17 No. 07 (2023); pp. 69-81</text>
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                <text>Mobile devices have emerged as our daily companion whose applicability evolves as the day unfolds. One of such applications is in the area of learning, called mobile learning (M-learning). However, as with all new technologies, M-learning is faced with the issues of standard, content packing, and deployment. And like other distributed applications on ubiquitous networks, M-learning is challenged with performance issues. This work shows the implementation and evaluation of a model for intelligent mobile learning system (IMLS) using a multi-agent system (MAS), such as the Java Agent Development Environment (JADE) framework. Two M-learning applications (agent-based and non-agent) were developed, deployed and tested. The agent-based application is deployed using an HTTP-based Message Transfer Protocol (MTP). The results suggest that agents can increase the performance of an M-learning application up to eight times.</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 10 No. 2 (2016); pp. 10-18</text>
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                <text>1865-7923</text>
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                <text>A Performance Evaluation of a Multi-Agent Mobile Learning System</text>
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                <text>adi, Puput Dani Prasetyo</text>
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                <text>Images Recognition and Face Recognition are a form of artificial intelligence developed on Robots and Smart CCTV, such as technology currently developing, such as YOLO Real-time Object Detection and Images Recognition using Python language. In this research, the tool trying to be used is the ESP32 camera and his approach to several types of study, such as smart door locks. &amp;nbsp;To activate this ESP32 camera, use the ATmega 328 mini Microcontroller, Arduino board, and FTDI Programmer. &amp;nbsp;The thing that can be analyzed is the delay or inference time (ms) on the ESP32 camera. &amp;nbsp;Face recognition technology in this research is devoted to using the ES32 camera, which is expected to be an inexpensive image recognition solution. &amp;nbsp;This research using the ESP32 camera was made as easy as possible to be applied by everyone, but by not leaving the analysis side, one of which is on the time side of the camera's detection of the object in front of it, how far and fast (ms), this object can be explicitly detected. &amp;nbsp;Speed is seen from the resolution specifications used for face recognition and image recognition, such as CIF and QVGA, and throughput (bytes) analysis of ESP32-Cam and Server using Wireshark.</text>
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                <text>Internet of Things and Artificial Intelligence Journal; Vol. 2 No. 1 (2022): Volume 2 Issue 1, 2022 [February]; 10-21</text>
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                <text>2774-4353</text>
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                <text>A Performance evaluation of ESP32 Camera Face Recognition for various projects</text>
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                <text>It is estimated that as many as 25 percent of individuals living with autism spectrum disorders are non-verbal. That is, they cannot functionally communicate with others using their voice. Despite that substantial fraction, we still know very little about these individuals, their abilities, and their needs. "We still know very little about the cognitive capabilities of nonverbal people with autism, and how best to help them learn to communicate," said Geri Dawson, Ph.D., Autism Speaks chief science officer.
Non-verbal people with autism are usually unable to communicate normally using natural languages. They can, however, learn to communicate through specific symbols and images. Special education instructors have adopted this method of communication to teach non-verbal people with autism. They introduce the symbols and images to them through different methodologies. This learning process appeared to be effective but it is very long. The process is carried out manually and requires a lots of times, dedication, and resources. The instructors should find the materials in different formats and circumstances. They should repeat the lessons several times and normally in a face-to-face framework. We propose in this paper a mobile-based application that allows non- verbal people with autism to learn and communicate with their surroundings using a smart device. They can then be taught to use specific symbols and images through the smart mobile phones. They can form simple words and sentences to express their feelings and needs. The application is flexible and allows the addition of new contents very easily. To assess the progress of the users, different exercises and puzzles are proposed. These allow the users to improve their skills and to continue learning outside the classrooms.</text>
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                <text>Copyright (c) 2017 Samir Abou El-Seoud, AbdelGhani Karkar, Jihad Al Ja'am, Omar Karam</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 9 No. 4 (2015); pp. 49-55</text>
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              <elementText elementTextId="22934">
                <text>1865-7923</text>
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                <text>Learning</text>
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                <text>A Pictorial Mobile Application for Improving Communication Skills in Non-Verbal Autism</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 16 No. 19 (2022); pp. 22-43</text>
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                <text>1865-7923</text>
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                <text>A Place-Based Digital Learning Environments with Learning Resources Application to Enhance Student Learning and Innovations</text>
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                <text>Collaborative software is usually thought of as providing audio-video conferencing services, application/desktop sharing, and access to large content repositories. However mobile device usage is characterized by users carrying out short and intermittent tasks sometimes referred to as â??micro-taskingâ??. Micro-collaborations are not well supported by traditional groupware systems and the work in this paper seeks out to address this. Mico is a system that provides a set of application level peer-to-peer services for the ad-hoc formation and facilitation of collaborative groups across a diverse mobile device domain. The system builds on the Java ME bindings of the JXTA P2P protocols, and is designed with an approach to use the lowest common denominators that are required for collaboration between varying degrees of mobile device capability. To demonstrate how our platform facilitates application development, we built an exemplary set of demonstration applications and include code examples here to illustrate the ease and speed afforded when developing collaborative software with Mico.</text>
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                <text>Copyright (c) 2017 David Johnson</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 3 No. 4 (2009); pp. 8-16</text>
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                <text>1865-7923</text>
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                <text>A Platform for Supporting Micro-Collaborations in a Diverse Device Environment</text>
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                <text>Indrabayu, Indrabayu</text>
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                <text>This research focuses on developing an Android-based cattle identification system that is applicable and easy to use. This system uses a Scale Invariant Feature Transform (SIFT) algorithm to extract features from the muzzle images, and Random Sample Consensus (RANSAC) algorithm to eliminate features incompatibility. The system is experimented with four threshold values, i.e. 10, 15, 20, and 30 using a total data of 460 muzzle images.  In the first experiment, 3 images from each individual are used in the training stage and 2 images are used as the data test. In the second experiment, 5 images from each cattle are used in the training stage and 5 images are used as the data test. Data used in training stage are 244 images and in testing stage is 816 images. From the experiment, the highest accuracy rate is 98.1% with threshold values of 15 and 20. The execution time is also calculated to measure the processing time of the system. The average time taken to store an image to the database is 1.3 seconds. The main contribution of this research is technology implementation and more portable muzzle identification for local cattle in Makassar.</text>
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                <text>Copyright (c) 2020 Indrabayu Indrabayu, Ingrid Nurtanio, Intan Sari Areni, Sri R.A Bugiwati, Anugrayani Bustamin, Muhammad Rahmatullah</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 14 No. 13 (2020); pp. 134-149</text>
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                <text>1865-7923</text>
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                <text>A Portable Cattle Tagging Based on Muzzle Pattern</text>
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