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                  <text>International Journal of Interactive Mobile Technologies (iJIM)</text>
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                <text>Haryadi, Ervan Adiwijaya</text>
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                <text>Jati, Grafika</text>
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                <text>Husodo, Ario Yudo</text>
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                <text>Jatmiko, Wisnu</text>
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                <text>A surveillance system is still the most exciting and practical security system to prevent crime effectively. The primary purpose of this system is to recognize the identity of the face caught by the camera. With the advancement of the Internet of things, surveillance systems were implemented on edge devices such as the low-cost Raspberry mobile camera. It raises the challenge of unstructured image/video where the video contains low quality, blur, and variations of human poses. The challenge is increasing because people used to wear a mask during the Covid -19 pandemic.  Therefore, we proposed developing an all-in-one surveillance system with face detection, recognition, and face tracking capabilities. This system integrated three modules: MTCNN face detector, VGGFace2 face recognition, and Discriminative Single-Shot Segmentation (D3S) tracker to create a system capable of tracking the faces of people caught on surveillance camera. We also train new face mask data to recognize and track. This system obtains data from the Raspberry Pi camera and processes images on the cloud as a mobile sensor approach. The proposed system successfully implemented and obtained competitive results in detection, recognition, and tracking under an unconstrained surveillance camera.</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/22725</text>
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                <text>10.3991/ijim.v15i23.22725</text>
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                <text>International Association of Online Engineering (IAOE), Vienna, Austria</text>
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                <text>Copyright (c) 2021 Ervan Adiwijaya Haryadi, Grafika Jati, Ario Yudo Husodo, Wisnu Jatmiko</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 15 No. 23 (2021); pp. 104-119</text>
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                <text>1865-7923</text>
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                <text>surveillance system</text>
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                <text>Low-Cost Camera-Based Smart Surveillance System for Detecting, Recognizing, and Tracking Masked Human Face</text>
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                <text>The current situation in the region of Arequipa (Peru) is an increase in crime and insecurity; companies that provide private surveillance services have increased the costs of equipment and services online. We propose is to implement a low-cost gas leakage and surveillance system for single-family houses, implemented with Raspberry Pi3, an Arduino board, SIM 900 module, sensors, actuators, and peripherals. The system alerts by sending a text message when an intruder enters the home or when there is a gas leak; it captures the webcam image that is sent to the homeowner's email. For voice command recognition, Wit.ai and Firebase are used for communication between the system and the mobile application. System functionality and usability tests were carried out, allowing us to know user satisfaction.</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/30177</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/30177/11275</text>
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                <text>Copyright (c) 2022 Jose Esquicha-Tejada, Ximena Perez-Palomino, Karina Rosas-Paredes</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 16 No. 09 (2022); pp. 206-216</text>
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                <text>1865-7923</text>
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                <text>IoT</text>
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                <text>Low-Cost Gas Leak Detection and Surveillance System for Single Family Homes Using Wit.ai, Raspberry Pi and Arduino</text>
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                  <text>Czech Journal of International Relations</text>
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                <text>Šůsová, Kristina</text>
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                <text>Feminism’s origins have often been framed around a limited cast of mostlywhite and educated foremothers, but the truth is that feminism has beenand continues to be a global movement. For centuries, women from allwalks of life have been mobilizing for gender justice. As the last decadehas reminded even the most powerful women, there is nothing “post-feminist” about our world. And there is much to be learned from thepassion and protests of the past.</text>
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                <text>https://cjir.iir.cz/index.php/cjir/article/view/53</text>
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                <text>Czech Journal of International Relations; Vol. 56 No. 2 (2021); 97-102</text>
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                <text>Lucy Delap: Feminisms: A Global History</text>
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              <elementText elementTextId="21312">
                <text>Tian, Ke</text>
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                <text>Endo, Mamoru</text>
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                <text>Urata, Mayu</text>
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                <text>Mouri, Katsuhiro</text>
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                <text>It is possible to improve learnersâ?? understanding of the concept of lunar phases by using Observation based Learning (OBL). In this research, Smartphone Augmented Reality (AR) technology was used to develop a multi-viewpoint AR-based mobile learning (M-VARML) system for moon observation that can be used in the real world environment. An experiment was conducted to evaluate the usefulness of our system. Participants were given five moon observation tasks, which they had to perform manually and using the M-VARML system. After each task, they were given follow-up questionnaires on the usefulness of the functions in the system. Finally, they were asked about the operational usability and the effect our system had in motivating them to pursue lunar observation. The results show that the M-VARML system is effective in improving the observation and learning of students and in enhancing their motivation to pursue lunar learning.</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 8 No. 1 (2014); pp. 32-39</text>
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                <text>S, Ganesh Kumar</text>
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                <text>Cancer has become very common in this evolving world. Technology advancements, increased radiations have made cancer a common syndrome. Various types of cancers like Skin Cancer, Breast Cancer, Prostate Cancer, Blood Cancer, Colorectal cancer, Kidney Cancer and Lung Cancer exits. Among these various types of cancers, the mortality rate is high in lung cancer which is tough to diagnose and can be diagnosed only in advanced stages. Small cell lung cancer and non-small cell lung cancer are the two types in which non-small cell lung cancer (NSCLC) is the most common type which makes up to 80 to 85 percent of all cases [1]. Digital Image Processing and Artificial Intelligence advancements has helped a lot in medical image analysis and Computer Aided Diagnosis(CAD). Numerous research is carried out in this field to improve the detection and prediction of the cancerous tissues. In current methods, traditional image processing techniques is applied for image processing, noise removal and feature extraction. There are few good approaches that applies Artificial Intelligence and produce better results. However, no research has achieved 100% accuracy in nodule detection, early detection of cancerous nodules nor faster processing methods. Application of Artificial Intelligence techniques like Machine Learning, Deep Learning is very minimal and limited. In this paper [Figure 1], we have applied Artificial intelligence techniques to process CT (Computed Tomography) Scan image for data collection and data model training. The DICOM image data is saved as numpy file with all medical information extracted from the files for training. With the trained data we apply deep learning for noise removal and feature extraction. We can process huge volume of medical images for data collection, image processing, detection and prediction of nodules. The patient is made well aware of the disease and enabled with their health tracking using various mobile applications made available in the online stores for iOS and Android mobile devices.</text>
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                <text>Copyright (c) 2020 Rajesh P, Murugan A, Murugamantham B, Ganesh Kumar S</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 14 No. 17 (2020); pp. 189-203</text>
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                <text>1865-7923</text>
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                <text>Lung Cancer Diagnosis and Treatment Using AI and Mobile Applications</text>
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                  <text>HPS: The Journal of History and Political Science</text>
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                <text>Vance, Carter</text>
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                <text>This article investigates the tensions in the writings of Rosa Luxemburg as juxtaposed to her historical contemporaries in light of the debate on reformist Marxism. Primarily, her exchanges with Eduard Bernstein on the question of social revolution and with Vladimir Lenin on the question of nationality are explored. In relating these debates to present day examples of social and protest movements, as well as those for national independence, the article attempts to tease out guidance for Marxist political praxis in the current day. By close reading of the Bernstein-Luxemburg debate, it can be seen that the “reform or revolution” debate is often posited in terms which are inconsistent with those the authors originally meant. The article posits that there is no inherent tension or dichotomous relationship between reforms and revolutionary practice as consistent with the way the terms are normally used today. At the same time, it raises questions about what the practical limits of Marxism as both an analytic framework and a guide to political action are, particularly on the question of nationalism.</text>
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                <text>Copyright (c) 2017 Carter Vance</text>
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                <text>HPS: The Journal of History and Political Science; Vol. 5 (2017): HPS: The Journal of History and Political Science Vol. 5</text>
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                <text>Luxemburg’s Dilemmas: Lessons in Marxism as Political Praxis</text>
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                <text>Yuktirat, Chananchida</text>
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                <text>Abstract— Mobile learning (M-learning) has become part of a rich mix of new features and facilities in the teaching and learning process, and with the advent and proliferation of the smartphone, M-learning is reaching new heights. In the art world, M-learning is also being explored, and as students can be connected to their teacher from anywhere in the world, there is no longer the need for a physical studio to learn the magic of art. The researchers therefore set out to create a course using digital technologies for teaching the Art of Drawing online. Initially, the researchers made use of the Delphi method to query a panel of 19 experts in the fields of art education, educational technologists and artists to gather their input for an online, M-Learning course model. After which, 248 Facebook members belonging to the ‘Society of the Professional Art Teachers Development of Thailand’ were selected by use stratified random sampling. From these members, 201 opted to participate in a 2-month M-learning course concerned with the Art of Drawing. Results revealed that both the experts and the course students found the use of digital tools such as the iPad, tablet, and smartphone as very appropriate in learning the Art of Drawing. The same was true for the applications as well.</text>
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                <text>Copyright (c) 2018 Chananchida Yuktirat, Apisak Sindhuphak, Krissana Kiddee</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 12 No. 5 (2018); pp. 152-168</text>
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                <text>1865-7923</text>
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                <text>informal learning</text>
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                <text>M-learning for the Art of Drawing: Informal Learning for a Digital Age</text>
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                <text>Mobile devices such as notebooks and PDAs are very interesting tools for web-based teaching and distant teaching today. We have adapted Web-based remote laboratory environments to mobile devices like PDAs and smartphones to remotely control a Pioneer 3 AT mobile robot.</text>
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                <text>Copyright (c) 2017 Andreas Bischoff</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 3 No. 1 (2009); pp. 49-52</text>
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                <text>1865-7923</text>
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                <text>m-learning</text>
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                <text>M-Learning, Mobile Experimentation and Telepresence with Cell Phones and PDAs</text>
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                  <text>International Journal of Interactive Mobile Technologies (iJIM)</text>
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                <text>Oyelere, Solomon Sunday</text>
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                <text>Suhonen, Jarkko</text>
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                <text>Sutinen, Erkki</text>
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                <text>Abstract—Mobile learning (m-learning) is the study and practice of using mobile devices, such as smart phones, mobile phones, tablets, PDAs, MP3s and pocket PCs in order to support learning for anyone, anytime and  anywhere. M-learning has become paramount for developing countries such as Nigeria, as many of these countries have the required infrastructure and a rapidly increasing amount of mobile device users. In addition, the mobile devices are able to support a variety of learning activities and students are also ready to use the devices  for learning. In this article, we have enumerated the possibilities and challenges of implementing m-learning in developing countries, specifically in Nigeria, and identified potential m-learning solutions to support learning of ICT in Nigeria. We administrated a questionnaire in order to find out primary school students readiness in Nigeria to adopt m-learning, their preferences to use specific features of m-learning devices in learning situations, as well as their opinions regarding the suitability of m-learning for ICT-related subjects. We also propose a cloud-based m-learning model for learning ICT topics in Nigeria.</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/4872</text>
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                <text>International Association of Online Engineering (IAOE), Vienna, Austria</text>
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            <description>Information about rights held in and over the resource</description>
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              <elementText elementTextId="23085">
                <text>Copyright (c) 2017 Solomon Sunday Oyelere, Jarkko Suhonen, Erkki Sutinen</text>
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              <elementText elementTextId="23086">
                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 10 No. 1 (2016); pp. 35-44</text>
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              <elementText elementTextId="23087">
                <text>1865-7923</text>
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            <name>Subject</name>
            <description>The topic of the resource</description>
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              <elementText elementTextId="23088">
                <text>Cloud-based learning</text>
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              <elementText elementTextId="23089">
                <text>Computer studies</text>
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                <text>Design research</text>
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                <text>ICT in Nigeria</text>
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                <text>M-Learning: A New Paradigm of Learning ICT in Nigeria</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="17639">
                <text>Alsadi, Jehad A</text>
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                <text>AbuShawar, Bayan A</text>
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                <text>2009-06-29</text>
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                <text>This paper presents the experience of Arab Open University; AOU for short; on using WAP technology in mobile learning; m-Learning. The goal is to enhance e-Learning aspects of the existing learning management systems (LMS); e.g. Moodle. In addition to presenting technical aspects of the WAP, we also introduce the advantages and disadvantages of using WAP technology in the learning process. Furthermore, a description of AOUâ??s learning management system with the outcomes of the tutors and students is introduced. This paper discusses also the suitability and feasibility of using WAP technology devices for distance learning in real-time</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/808</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/808/945</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="17649">
                <text>Copyright (c) 2017 Jehad A Alsadi, Bayan A AbuShawar</text>
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              <elementText elementTextId="17650">
                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 3 No. 3 (2009); pp. 10-16</text>
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              <elementText elementTextId="17651">
                <text>1865-7923</text>
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            <name>Subject</name>
            <description>The topic of the resource</description>
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              <elementText elementTextId="17652">
                <text>e-Learning</text>
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                <text>WAP</text>
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                <text>m-Learning: The Usage of WAP Technology in e-Learning</text>
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