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                  <text>International Journal of Interactive Mobile Technologies (iJIM)</text>
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                <text>Alshahrani, Ali</text>
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                <text>The mobile IP communication protocol is a flexible system for mobile connection that is designed to allow the device to be moved between networks while maintaining a permanent IP address. IP datagrams using mobile IP can be routed to a specific mobile station (MS) regardless of its current internet location. However, to facilitate such routable characteristics, the communication with an MS that is visiting a foreign network is intermediate with communication between the home agent (HA) and the foreign agent (FA) which increase the total delay and harms the communication performance, especially when the MS continuously moves from a network to another. Accordingly, to handle the delay issue, this paper proposes a new approach for mobile IP direct routing, based on the “follow-me” principle. The proposed approach depends on sending a new temporary care-of-address (CoA) for the previously visited network as the MS moves to another to keep a reliable tracking–like process with the HA. Accordingly, the agents of all the visited networks play the same principles as the HA role whenever the MS moves from a network to another. The proposed approach influences the delay and the speed of the delivery of internet packets. The simulation showed that the proposed method decreases the delay by up to 50% compared to the direct routing approach. </text>
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                <text>Copyright (c) 2019 Ali Alshahrani</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 13 No. 08 (2019); pp. 16-31</text>
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                <text>1865-7923</text>
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                <text>Mobile IP</text>
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                <text>Routing</text>
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                <text>Improved Direct Routing Approach for Mobile IP Systems</text>
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                <text>Echoukairi, Hassan</text>
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                <text>Ouacha, Ali</text>
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                <text>Facial expressions constitute one of the most effective and instinctive methods that allow people to communicate their emotions and intentions. In this context, the both Machine Learning (ML) and Convolutional Neural Networks (CNNs) have been used for emotion recognition. Efficient recognition systems are required for good human-computer interaction. However, facial expression recognition is related to several methods that impact the performance of facial recognition systems.&amp;nbsp; In this paper, we demonstrate a state-of-the-art of 65% accuracy on the FER2013 dataset by leveraging numerous techniques from recent research and we also proposed some new methods for improving accuracy by combining CNN architectures such as VGG-16 and Resnet-50 with auxiliary datasets such as JAFFE and CK.&amp;nbsp; To predict emotions, we used a second approach based on geometric features and facial landmarks to calculate and transmit the feature vector to the SVM model. The results show that the ResNet50 model outperforms all other emotion prediction models in real time by maximizing.</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/37031</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/37031/12899</text>
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                <text>Copyright (c) 2023 Mohamed El Ghmary, Said  ZIANI, Hassan  ECHOUKAIRI, Ali  OUACHA</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 17 No. 06 (2023); pp. 33-44</text>
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                <text>1865-7923</text>
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                <text>Facial Expression</text>
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                <text>Machine Learning</text>
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                <text>Deep Learning</text>
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                <text>Facial Land- Marks</text>
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                <text>Improved Methods for Automatic Facial Expression Recognition</text>
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            <name>Creator</name>
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              <elementText elementTextId="42040">
                <text>Hanin, Moulay Hicham</text>
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                <text>Amnai, Mohamed</text>
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                <text>Fakhri, Youssef</text>
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                <text>Mobile ad hoc network (MANET) is among the networks which do not require any infrastructure to put nodes in communication. Due to its own nature, it is used by several applications. Even though it's a network that is extremely challenging and mostly when TCP is applied. In this paper, we have proposed a new improvement in the TCP algorithm that employed fuzzy logic to predict packet loss and avoid congestion. Specifically, we have used tree metrics such as stability, energy, and signal strength to use in fuzzy logic systems. To accomplish our approach, we have established some modifications based on a cross-layer. The results of the relevant simulation performed by NS3 demonstrated that our approach globally improves the performance of TCP in MANET. Precisely reduce the packet overhead and energy consumption also enhance throughput.</text>
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                <text>Copyright (c) 2021 Moulay Hicham HANIN</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 15 No. 14 (2021); pp. 125-139</text>
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                <text>1865-7923</text>
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                <text>MANET</text>
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                <text>Improved TCP Prediction Congestion in Mobile Ad Hoc Network Based on Cross-Layer and Fuzzy Logic</text>
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                <text>Zaman, Rafi U</text>
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                <text>Alam, Humaira M</text>
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                <text>Khan, Khaleel Ur Rahman</text>
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                <text>Internetworking of different types of networks is envisaged as one of the primary objectives of the future 5G networks. Integrated Internet-MANET is a heterogeneous networking architecture which is the result of interconnecting wired Internet and wireless MANET. Multiprotocol gateways are used to achieve this interconnection. There are two types of Integrated Internet-MANET architectures, two-tier and three-tier. A combination of two-tier and three tier architectures also exists, called the Hybrid Framework or Hybrid Integrated Internet-MANET. Some of the most important issues common to all Integrated Internet-MANET architecture are: efficient gateway discovery, mobile node registration and gateway load balancing. Adaptive WLB-AODV is an existing protocol which addresses the issues of Gateway load balancing and efficient Gateway discovery. In this paper, an improvement is proposed to Adaptive WLB-AODV, called Adaptive Modified-WLV-AODV by taking into account route latency. The proposed protocol has been implemented in Hybrid Integrated Internet-MANET and has been simulated using network simulation tool ns-2. Based on the simulation results, it is observed that the proposed protocol delivers better performance than the existing protocol in terms of performance metrics end-to-end delay and packet loss ratio.  The performance of the proposed protocol is further optimized using a genetic algorithm.</text>
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                <text>Copyright (c) 2017 Rafi U Zaman, Humaira M Alam, Khaleel Ur Rahman Khan, A. Venugopal Reddy</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 11 No. 3 (2017); pp. 162-177</text>
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                <text>1865-7923</text>
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                <text>Mobile Ad Hoc Network</text>
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                <text>Improvement of Adaptive Load Balanced Gateway Discovery Protocol in Hybrid Integrated Internet-MANET</text>
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                <text>Safitri, Desy</text>
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                <text>Sekaringtyas, Tunjungsari</text>
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                <text>The development of technology has a lot of influence in the field of education, one of which is in terms of learning media. Digital-based learning media are now being developed to create more fun learning, one of which is digital games. It is also known that digital games themselves positively influence increasing student motivation in the learning process. For this reason, the purpose of this study is to prove the effectiveness of digital game-based media in increasing motivation to learn science. The population group consisted of 129 students from Cluster I, North Sukabumi Village schools. Research sampling was carried out by simple random sampling to calculate the number of samples. The Slovin formula was used, which resulted in 98 students as the sample. This study used experimental research methods with a single group pretest-posttest, as for the instrument in a questionnaire using a Likert scale. The type of data analysis used in this research is an inferential analysis using a t-test.  The results of this study indicate that digital game media positively influences students' learning motivation. The literature review comprises 40 studies.  This study also shows that students experience increased learning motivation by using this digital game media. Because with this digital game media, students become more motivated to follow and understand the learning material being taught.</text>
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                <text>Copyright (c) 2022 Desy Safitri, Suci Awalia, Tunjungsari Sekaringtyas, Arita Marini, Sri Nuraini, Taufik Rihatno</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 16 No. 06 (2022); pp. 188-205</text>
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                <text>1865-7923</text>
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                <text>Improvement of Student Learning Motivation through Word-Wall-based Digital Game Media</text>
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                <text>To globally share Japanese legal information, we translate the Outlines of Japanese statutes. These outlines are the official summaries of Japanese statutes and are useful to quickly understand their contents. In a previous statistical machine translation system for the outlines, we found that the training corpus consisted of both statutes and their outlines, including many long sentences that reduced the translation quality. To solve this problem, we shortened the length of sentences and focused on parenthesized expressions. In this paper, we propose a translation method that splits off parenthesized expressions from the sentences. Experimental result shows the effectiveness of our method.</text>
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                <text>Journal of Open Access to Law; Vol. 4 No. 1 (2016)</text>
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                <text>2372-7152</text>
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                <text>Improvement of Translation Accuracy for the Outlines of Japanese Statutes by Splitting Parenthesized Expressions</text>
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                <text>Islam, Mohammed</text>
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                <text>This research proposes mesh and domain optimization strategies for a popular Computational Fluid Dynamics (CFD) technique to estimate the open water propulsive characteristics of fixed pitch propellers accurately and time-efficiently based on examining the effect of various mesh and computation domain parameters. It used a Reynolds-Averaged Navier-Stokes (RANS) solver to predict the propulsive performance of a fixed pitch propeller with varied meshing, simulation domain and setup parameters. The optimized mesh and domain size parameters were selected using Design of Experiments (DoE) methods enabling simulations in a limited memory and in a timely manner without compromising the accuracy of results. The predicted thrust and torque for the propeller were compared to the corresponding measurements for determining the prediction accuracy. The authors found that the optimized meshing and setup arrangements reduced the propeller opens simulation time by at least a factor of six as compared to the generally popular CFD parameter setup. In addition, the accuracy of propulsive characteristics was improved by up to 50% as compared to published simulation results. The methodologies presented in this paper can be similarly applied to other simulations such as calm water ship resistance, ship propulsion etc. to systematically derive the optimized meshing arrangement for simulations with minimal simulation time and maximum accuracy. This investigation was carried out using a commercial CFD package; however, the findings can be applied to any RANS solver.</text>
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                <text>Association of Naval Architects and Marine Engineers</text>
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                <text>Copyright (c) 2019 Journal of Naval Architecture and Marine Engineering</text>
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                <text>Journal of Naval Architecture and Marine Engineering; Vol. 16 No. 1 (2019); 1-20</text>
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                <text>2070-8998</text>
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                <text>CFD</text>
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                <text>Penelitian ini mengkaji peningkatan kemampuan berpikir kritis matematis siswa yang belajar menggunakan model blended learning berbantuan GeoGebra dan siswa yang belajar menggunakan model blended learning tanpa bantuan GeoGebra, berdasarkan pembelajaran dan jenjang sekolah. Jenis penelitian ini adalah quasi-experimental, menggunakan nonequivalent control-group design. Ada 125 peserta dari dua Sekolah Menengah Pertama (SMP) kelas VIII di Kota Ternate, Indonesia. Instrumen yang digunakan berupa soal tes kemampuan berpikir kritis. Hasil penelitian adalah: (1) Model blended learning berbantuan GeoGebra dapat mempengaruhi kemampuan berpikir kritis matematis dengan kategori besar, dilihat dari keseluruhan dan tingkat sekolah. (2) Terdapat perbedaan peningkatan kemampuan berpikir kritis matematis antara siswa yang belajar menggunakan model blended learning berbantuan GeoGebra dan siswa yang belajar menggunakan model blended learning tanpa bantuan GeoGebra secara keseluruhan. (3) Peningkatan kemampuan berpikir kritis matematis siswa yang belajar menggunakan model blended learning berbantuan GeoGebra lebih baik daripada siswa yang belajar menggunakan model blended learning berbantuan GeoGebra. Namun peningkatan tersebut termasuk dalam kategori rendah dilihat dari tingkat SMA. (4) Tidak terdapat perbedaan peningkatan kemampuan berpikir kritis matematis antara siswa yang belajar menggunakan model blended learning berbantuan GeoGebra dan siswa yang belajar menggunakan model blended learning berbantuan GeoGebra tanpa dilihat dari tingkat SMP.</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 17 No. 02 (2023); pp. 101-117</text>
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                <text>1865-7923</text>
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                <text>Mathematical Critical Thinking Ability, Blended Learning Model, Applied GeoGebra.</text>
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                <text>Improving Mathematics Critical Thinking Skills of Junior High School Students Using Blended Learning Model (BLM) in GeoGebra Assisted Mathematics Learning</text>
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                <text>The importance of locating a mobile phone has increased significantly during last decade for security and commercial reasons. Locating the mobile phone leads to locating people. This is done by using the most common propagation models in the mobile phone network design to calculate the distance between the mobile phone and the base station, in addition to using positioning algorithms to predict the location of the mobile station. In this work, three telecommunication towers that provide mobile phone service for Zain Iraq were selected, located within the Mahmudiya area in Baghdad as a case study, and a test drive was conducted to measure the signal strength received from these base stations at more than 10 points located within the coverage area of these base stations. The Okumura-HATA model, and the UMTS propagation model were used to calculate the distances. The Gray-Wolf algorithm was used to improve mobile phone position prediction.</text>
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                <text>Copyright (c) 2023 Haider TH.Salim ALRikabi, Baseem G. Nsaif , Adheed H. Sallomi</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 17 No. 09 (2023); pp. 127-140</text>
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                <text>1865-7923</text>
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                <text>GWO, LBS, LOS, RSSI</text>
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                <text>Improving Mobile Location Prediction Using the Grey Wolf Optimization Algorithm</text>
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