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                <text>Mac Eoin, Stephen</text>
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                <text>This paper asks why the National Army Civil War dead are not commemorated in Ireland. Identifying a distinct gap in the literature regarding the Irish Civil War in general and the commemoration of the National Army war dead in particular, the research tackles some key assumptions regarding commemoration in Ireland, challenging in particular the assertion that historic amnesia towards military service in Ireland pertains to the British Army alone.
At national level, the commemorative ceremonies for the Irish State’s own war dead reflect ambivalence about asserting the State’s origins, but also highlight a tension between the different traditions in Ireland. Approaching the problem through examination of both commemorative ceremonial and some of the key surviving structures of monumental material culture in the Irish commemorative landscape, this paper finds that this ambivalence is significant, reflecting perhaps Ireland’s political and strategic culture. Ireland shares some similarities with the Spanish experience of its civil war, but differs substantially in how it has essentially avoided the issue. Drawing on themes such as inclusiveness, ‘good history’ and ethical remembering in commemoration, this study argues that there are inconsistencies in the Irish commemorative landscape which contradict the notion of real inclusiveness. The conclusion of this paper is, therefore, that in Ireland today, as for most of the twentieth century, the National Army soldiers who died fighting for the State are not appropriately commemorated, either by the State, or by the Defence Forces. Moreover, it would appear that the Defence Forces itself has never really developed its own internal culture of commemoration since, United Nations service aside, there is almost complete amnesia regarding its dead from the Civil War, from the Emergency period and from the Troubles.</text>
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                <text>http://ojs.maynoothuniversity.ie/ojs/index.php/jmhds/article/view/70</text>
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                <text>Journal Of Military History and Defence Studies; Vol. 3 No. 1 (2022): Journal of Military History and Defence Studies; 77-112</text>
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                <text>2712-0171</text>
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                <text>Lest We Remember. Why does the Irish State not commemorate the National Army soldiers who died during the Civil War?</text>
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                <text>Cycon, Hans L.</text>
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                <text>Mobile phones and related gadgets in networks are omnipresent at our students, advertising itself as the platform for mobile, pervasive learning. Currently, these devices rapidly open and enhance, being soon able to serve as a major platform for rich, open multimedia applications and communication. In this report we introduce a video conferencing software, which seamlessly integrates mobile with stationary users into fully distributed multi-party conversations. Following the paradigm of flexible, user-initiated group communication, we present an integrated solution, which scales well for medium-size conferences and accounts for the heterogeneous nature of mobile and stationary participants. This approach allows for a spontaneous, location independent establishment of video dialogs, which is of particular importance in interactive learning scenarios. The work is based on a highly optimized realization of a H.264 codec.</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/773/947</text>
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                <text>Copyright (c) 2017 Hans L. Cycon, Thomas C. Schmidt, Gabriel Hege, Matthias Wählisch, Mark Palkow</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 3 No. 3 (2009); pp. 21-25</text>
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                <text>1865-7923</text>
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                <text>distributed SIP conference management.</text>
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                <text>Let's Meet at the Mobile - Learning Dialogs with a Video Conferencing Software for Mobile Devices</text>
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                <text>This paper discusses aspects of economic analysis of law developed as a result of the current status quo on the continuous development of the Internet, as well as the required evolution of legal theory on intellectual property rights (IPRs). The emergence and movement of law and economics has captured various segments of policymaking, including the discipline of IPRs in law. With the seminal work of Ronald Coase, Nobel Memorial Prize in Economic Sciences, this movement has evolved as a significant branch of legal theory (1960).</text>
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                <text>Journal of Open Access to Law; Vol. 10 No. 1 (2022)</text>
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                <text>Let’s Reimagine Intellectual Property Rights Regime: the Australian Perspective</text>
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                <text>Bajwa, Gurpreet Singh</text>
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                <text>The Indian Space domain capability can be expanded in the South Asian Neighbourhood for offering solutions in the ISR, Communication, Meteorology, Navigation, Guest Astronauts for the Human space flight programme, and space infrastructure building. India’s South Asian communication satellite launched in 2017 was one such initiative leveraging the space capability for diplomatic outreach and developing the new space services market for Indian enterprises.
The Indian Military has a strategic and friendly relationship with the neighbouring militaries and now the time has come to upgrade the existing security cooperation through Military Diplomacy and believe in the dictum of India’s ‘Neighbourhood First Policy’. India’s growth is tethered to a secure and well-governed South Asia and the emerging space market is one of the sunshine sectors which like India’s outreach to evolve the digital payments ecosystem can also be employed to improve the cooperation in South Asia.</text>
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                <text>Alam, Ashraful</text>
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                <text>Smart devices like smartphones and smartwatches have made this world smarter. These wearable devices are created through complex research methodologies to make them more usable and interactive with its user. Various interactive mobile applications such as augmented reality (AR), virtual reality (VR) or mixed reality (MR) applications solely depend on the in-built sensors of the smart devices. A lot of facilities can be taken from these devices with sensors such as accelerometer and gyroscope. Different physical activities such as walking, jogging, sitting, etc., can be important for analysis like health state prediction and duration of exercise by using those sensors based on artificial intelligence. In this paper, we have implemented machine learning and deep learning algorithms to detect and recognize eight activities namely, walking, jogging, standing, walking upstairs, walking downstairs, sitting, sitting-in-a-car and cycling; with a maximum of 99.3% accuracy. A few activities are almost similar in action, such as sitting and sitting-in-a-car, but difficult to distinguish; which makes it more challenging to predict tasks. In this paper, we have hypothesized that with more sensors (sensor fusion) and data collection points (sensor-body positions) a wide range of activities can be recognized and the recognition accuracies can be increased. Finally, we showed that the combination of all the sensors data of both pocket/waist and wrist can be used to recognize a wide range of activities accurately. The possibility of using the proposed methodologies for futuristic mobile technologies is quite significant. The adaptation of most recent deep learning algorithms such as convolutional neural network (CNN) and bi-directional Long Short Time Memory (Bi-LSTM) demonstrated high credibility of the methods presented as experimentation.</text>
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                <text>Copyright (c) 2021 Ashraful Alam, Anik Das, Md. Shahriar Tasjid, Ahmed Al Marouf</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 15 No. 17 (2021); pp. 141-155</text>
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                <text>1865-7923</text>
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                <text>Leveraging Sensor Fusion and Sensor-Body Position for Activity Recognition for Wearable Mobile Technologies</text>
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                <text>Walking is one of the most common modes of terrestrial locomotion for humans. Walking is essential for humans to perform most kinds of daily activities. When a person walks, there is a pattern in it, and it is known as gait. Gait analysis is used in sports and healthcare. We can analyze this gait in different ways, like using video captured by the surveillance cameras or depth image cameras in the lab environment. It also can be recognized by wearable sensors. e.g., accelerometer, force sensors, gyroscope, flexible goniometer, magneto resistive sensors, electromagnetic tracking system, force sensors, and electromyography (EMG). Analysis through these sensors required a lab condition, or users must wear these sensors. For detecting abnormality in gait action of a human, we need to incorporate the sensors separately. We can know about one's health condition by abnormal human gait after detecting it. Understanding a regular gait vs. abnormal gait may give insights to the health condition of the subject using the smart wearable technologies. Therefore, in this paper, we proposed a way to analyze abnormal human gait through smartphone sensors. Though smart devices like smartphones and smartwatches are used by most of the person nowadays. So, we can track down their gait using sensors of these intelligent wearable devices. In this study, we used twenty-three (N=23) people to record their walking activities. Among them fourteen people have normal gait actions, and nine people were facing difficulties with their walking due to their illness. To do the stratification of the gait of the subjects, we have adopted five machine learning algorithms with addition a deep learning algorithm. The advantages of the traditional classification are analyzed and compared among themselves. After rigorous performance analysis we found support vector machine (SVM) showing 96% accuracy, highest among the tradition classifiers. 70%, 84%, and 95% accuracy is obtained by the logistic regression, Naïve Bayes, and k-Nearest Neighbor (kNN) classifiers, respectively. As per the state-of-the art, deep learning classifiers has been proven to outperform the traditional classifiers in similar binary classification problems. We have considered the scenario and applied the 2D convolutional neural network (2D-CNN) classification algorithm, which outperformed the other algorithms showing accuracy of 98%. The model can be optimized and can be integrated with the other sensors to be utilized in the mobile wearable devices.</text>
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                <text>Copyright (c) 2021 Md Shahriar Tasjid, Ahmed Al Marouf</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 15 No. 24 (2021); pp. 167-175</text>
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                <text>1865-7923</text>
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                <text>Leveraging Smartphone Sensors for Detecting Abnormal Gait for Smart Wearable Mobile Technologies</text>
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                <text>Advances of technology and innovation suggest new form and paths in language teaching. Social media use can be a great influence for English as a Second Language (ESL) students especially in writing competency. Despite of many positive reports that presented affordances in social media use, however, there are insufficient studies that investigate ESL trainee teachers’ perception on this matter. Therefore, this study aimed to investigate ESL pre-service teachers’ views upon leveraging the use of social media in teaching of writing focusing on the opportunities and challenges. This study employed qualitative methods where thirty-four ESL pre-service teachers from a public university were involved. Based on the findings, it can be concluded that ESL pre-service teachers perceived the use of social media in teaching writing can be of beneficial and similarly challenging. Opportunities stated by the participants include enhancement in collaborative learning, supporting students’ self-directed learning and simplify the teaching and learning processes. On the other hand, the challenges mentioned by the participants are that social media can be a source of distraction, deterioration in language and plagiarism. Thus, it is advisable that teachers play their roles responsibly in managing students’ activities online and also be equipped with technology skills to enhance the establishments of social media in ESL teaching of writing.</text>
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                <text>Copyright (c) 2019 Rusreena Rusli, Harwati Hashim, Melor Md Yunus, Nur Yasmin Khairani Zakaria, Helmi Norman</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 13 No. 11 (2019); pp. 85-94</text>
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                <text>The positive evidences of life skills education among the young people in difficult circumstances have encouraged the researchers in imparting life skills education to the rescued devadasi adolescent girls in North Karnataka. The study was conducted in pre experimental research design without a control group of rescued devadasi girls by understanding their needs and gaps in life skills. The effectiveness of the programme was assessed using a standardized tool. 25 adolescent girls who were rescued from the devadasi system participated in the study. These girls were daughters’ of active devadasi women from Raichur, Koppal, Bellary and Bijapur. The girls were provided life skills education by the researchers.&amp;nbsp; Intervention programme was developed based on the 10 life skills laid out by the World Health Organization after integrating methodologies and contents specific to their life situation after a need assessment study using Life skills assessment scale. The results analyzed in SPSS version 18, indicate that the programme was effective and displayed statistical significance in rendering the participants with Life skills. The study intends to highlight the importance of developing tailor made life skills programme for vulnerable groups and girls at risk.</text>
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