Multimedia Computing

Traditionally, sign languages used by the deaf can be learned from teachers, books or video tapes. Digital multimedia together with CD ROM technology now enables production of interactive textbooks and dictionaries for sign languages on personal computers. The paper presents the key technological and contents requirements for learning to sign from a point of view of deaf as well as hearing persons. The technological requirements are then measured up with the current Multimedia PC Level 2 specifications. An alternative representation for sign language based on edge images derived from sequences of video frames is proposed to achieve higher video compression ratios. The fulfillment of contents requirements is demonstrated by an example of Sign Language Dictionary and Tutor.

This paper presented a new prediction model for Pressure-Volume-Temperature (PVT) properties based on the recently introduced learning algorithm called Sensitivity Based Linear Learning Method (SBLLM) for two-layer feedforward neural networks. PVT properties are very important in the reservoir engineering computations. The accurate determination of these properties such as bubble-point pressure and oil formation volume factor is important in the primary and subsequent development of an oil field. In this work, we develop Sensitivity Based Linear Learning method prediction model for PVT properties using two distinct databases, while comparing forecasting performance, using several kinds of evaluation criteria and quality measures, with neural network and the three common empirical correlations. Empirical results from simulation show that the newly developed SBLLM based model produced promising results and outperforms others, particularly in terms of stability and consistency of prediction.

Content Delivery Network (CDN) is a large distributed system of servers deployed in multiple data centers on the Internet. Its main goal is to serve requests from users providing high availability and performance. It also reduces the system failure risk providing redirection to many replica servers. It can provide load balancing between servers, avoiding network bottlenecks and, therefore, ensuring greater performance and QoE (Quality of Experience) to the end user. One of the critical issues involving CDN networks is the algorithm used to choose the replica server, because it directly influences the performance and scalability of the network. In this paper, an algorithm for choosing the best replica server is proposed. The proposal is compared in simulation against other algorithms in the literature. Finally, we show the effectiveness of the proposed algorithm to improve the choice of the best replica server in CDN.

Sport video is an important video genre. Content-based sports video analysis attracts great interest from both industry and academic fields. A sports video is characterised by repetitive temporal structures, relatively plain contents, and strong spatio-temporal variations, such as quick ...

Stress is the body and mind disorders caused by the changes and demands of life. Personality is a typical pattern in a person to think, act, and said in response to an event. Students involved in the organization get more stressors when compared with students who are not involved organizations. The aim of this research is to know the comparison of stress level between personality type melancholy, choleric, phlegmatic, and sanguine at the students involved organization in TKK SMFK UNSRAT. The samples in this research was taken with an total sampling technique which is 41 peoples who met the inclusion criteria. The study design used is cross sectional study and the data collected from respondents using a questionnaire DASS and personality type questionnaire by Florence Littauer. The result of Pearson Chi Square test founded p value= 0,301 > α = 0.05 so that there is no correlation between stress level and personality type Hippocrates-Galenus. Based on the results of the data analysis with One Way Anova, known F value= 2,352 with a significance= 0.088 (p> 0.05), this indicates that there is no difference in stress level between personality type melancholy, choleric, phlegmatic, and sanguine to the students involved organization TKK SMFK UNSRAT. Recommendations for further research is expected to examine other factors that may cause differences in the level of stress.

Efficiency and Network time is important in wireless sensor network. Is is possible to improve the performance of network by using Zigbee. The main features of Zigbee are low cost, low data rate, low power consumption. We are using this feature to increase the strength of small batteries of the node in the network. We are using tree structure to transmit the data packet from zigbee end device to destination. Ad-hoc on demand distance vector routing and Shortcut tree routing are compared, Number of nodes with respect to performance parameters Average energy, Delay, Packet delivery ratio, packet dropped, Residual energy, throughput. Simulation in 2.34 version is carried out and ESTR is better than AODV in this study. The performance of the multi-package delivery ratio of ESTR can also be relatively small compared to AODV. The end-to-end performance of STR delays is not good compared to AODV. So we propose the new system ASTR (Advanced Shortcut Tree Routing. The main goal is the improv...

In this literature, we present a slightly different approach to multimedia processing while leveraging the modern container and container orchestration technology to cluster computing using AWS known cloud platform. This approach optimizes multimedia processing over cloud clusters using modern container and container orchestration technology. In this approach, we first outlined the multimedia components and developed the architecture for our multimedia processing technology using modern container and container orchestration technology over cloud clusters, then we integrated and deployed the framework over AWS platform. The result of our work provided a new technique for optimizing large scale multimedia processing solutions which demonstrated the power of modern container and container orchestration technology to cluster computing using known cloud platform AWS. We simulated our multimedia processing model and generated optimized results.

Generation Networks (MNGN). It adds value to the mobile services and applications by integrating mobile network resources, such as location, billing and authentication. This is achieved by enabling a third party access to network resources. In previous work we have presented a testbed to be used as platform for testing mobile application prior to actual deployment. We have chosen a novel IMS based MObile Mass EXamination (MOMEX) system to showcase the benefit of designing an IMS based mobile application. We identify two aspects essential to of the application namely security threats and delay analysis. In this paper we identify MOMEX security threats and suggest strategies to mitigate system vulnerabilities. We then evaluate the performance of MOMEX system in terms of delay and security threats and vulnerabilities. The results presented show system performance limitation and tradeoffs.

❑Aset digital hadir dalam berbagai format, masing-masing dengan karakteristik dan penggunaan yang berbeda. ❑Memahami format aset digital adalah langkah penting dalam mengelola aset secara efektif. ❑Materi ini akan membahas kategori, format, dan contoh aset digital, serta aplikasinya dalam MAD.

This paper studies the problem of estimating geographical locations of images. To build reliable geographical estimators, an important question is to find distinguishable geographical clusters in the world. Those clusters cover general geographical regions and are not limited to landmarks. The geographical clusters provide more training samples and hence lead to better recognition accuracy. Previous approaches build geographical clusters using heuristics or arbitrary map grids, and cannot guarantee the effectiveness of the geographical clusters. This paper develops a new framework for geographical cluster estimation, and employs latent variables to estimate the geographical clusters. To solve this problem, this paper employs the recent progress in object detection, and builds an efficient solver to find the latent clusters. The results on beach datasets validate the success of our method.

ABSTRACT: The system presented in this article was developed with the aim of generating coherent summaries and transcripts by identifying relevant events in multimodal videos from multiple sources, mitigating computational costs and information overload, and promoting inclusive access to information in an assisted way. The system was developed using the Python and HTML programming languages, the Pycharm IDE and libraries such as Moviepy, Flask and SpeechRecognition. From the practical tests carried out on this web system, it was possible to observe the automatic generation of a reliable summary, the respective video extracted, for example, from a Uniform Resource Locator - URL, as well as a digital sign language interpreter avatar implemented and operating on the same results web page, enabling people with deafblindness to consume the content of a video or a collection of videos. This system also enabled textual translation, local storage and automatic electronic sending of digital files resulting from the summarization, with one file being sent in mp4 format and another in txt format to multiple email addresses, thus contributing to the mass production and dissemination of useful knowledge content and promoting social inclusion and the democratization of knowledge.

This article is dedicated to the features and importance of using multimedia technologies in education and their role in the formation of sociocultural competence via comparative qualitative research methods. As a result, computer technologies increase the efficiency of education, they help to increase student motivation, reveal the potential for learning foreign languages and ultimately contribute to the formation of sociocultural competence. In conclusion, the use of computer technologies in the process of teaching foreign languages, is an indispensable resource for the formation of sociocultural competence.

High efficiency video coding (HEVC) is the newest video codec to increase significantly the coding efficiency of its ancestor H.264/Advance Video Coding. However, the HEVC delivers a highly increased computation complexity. In this paper, a coding unit partitioning pattern optimization method based on particle swarm optimization (PSO) is proposed to reduce the computational complexity of hierarchical quadtree-based coding unit partitioning. The required coding unit partitioning pattern for exhaustive partitioning and the rate distortion cost are efficiently considered as the chromosome and the fitness function of the PSO, respectively. To reduce the computational time, the cellular automata-based (CA) rule based time limit is used in order to find out the best possible modes of operation. Compared to the current state of the art algorithms, this scheme is computationally simple and achieves superior reconstructed video quality (12% increase in PSNR compared to existing methods) at less computational complexity (overall delay by 40%), Increasing the bandwidth and reducing the errors..

Fallstudie zu PORTERS generischen Wettbewerbsstrategien im Kontext nachhaltigen Wirtschaftens I Zusammenfassung PORTERS Konzept der generischen Wettbewerbsstrategien hat den Status eines Managementklassikers und ist vielen Entscheidern in der Unternehmenspraxis bekannt. Aufgrund seines großen Bekanntheitsgrades und seiner Einfachheit eignet sich dieses Konzept als Grundlage für Strategiediskussionen mit Führungskräften. In der Fachliteratur zum strategischen Management ist die Wahl generischer Wettbewerbsstrategien im Kontext nachhaltiger Entwicklung diskutiert worden. In der vorliegenden Fallstudie wird eine Strategieempfehlung für einen Kartoffelchipsproduzenten auf Basis der generischen Wettbewerbsstrategien entwickelt und erörtert, wie sich diese Strategieempfehlung durch flankierende Maßnahmen unterstützen lässt. Zudem werden die Chancen der erfolgreichen Realisierung einer Hybridstrategie diskutiert. In der Fallstudie ist beabsichtigt, die Anwendung von PORTERS Konzept der generischen Wettbewerbsstrategien zu erörtern, jedoch erhebt die Fallstudie nicht den Anspruch, effektives und/oder effizientes Management darzustellen.

Much progress has been made in the field of sentiment analysis in the past years. Researchers relied on textual data for this task, while only recently they have started investigating approaches to predict sentiments from multimedia content. With the increasing amount of data shared on social media, there is also a rapidly growing interest in approaches that work "in the wild", i.e. that are able to deal with uncontrolled conditions. In this work, we faced the challenge of training a visual sentiment classifier starting from a large set of user-generated and unlabeled contents. In particular, we collected more than 3 million tweets containing both text and images, and we leveraged on the sentiment polarity of the textual contents to train a visual sentiment classifier. To the best of our knowledge, this is the first time that a cross-media learning approach is proposed and tested in this context. We assessed the validity of our model by conducting comparative studies and evaluations on a benchmark for visual sentiment analysis. Our empirical study shows that although the text associated to each image is often noisy and weakly correlated with the image content, it can be profitably exploited to train a deep Convolutional Neural Network that effectively predicts the sentiment polarity of previously unseen images.

The mindset of secondary school students regarding education, particularly during a lockdown during the COVID-19 pandemic appears to have had an impact on students' academic performance. This study investigated the relationship between virtual classroom management and secondary school students’ attitudes towards learning in Lagos State, Nigeria. The descriptive research design and survey type were used for the study. In a multistage sampling procedure using a simple random sampling technique, a total of 1497 secondary school students and 935 teachers were selected from 66 schools in Lagos State for the study. Data was collected through a self-structured questionnaire and analysed using both descriptive and inferential statistics. Data was collected through a structured questionnaire validated using Cronbach’s Alpha to determine the reliability (á= 0. .931) of the instrument using a descriptive survey design. Frequency counts, percentages and correlation analysis were used to analyse the data. The findings showed that virtual classroom management was mostly related (r=0.838) to the students’ learning attitudes during the lockdown COVID-19 pandemic. The study recommended that the Lagos State government should provide technological support to secondary schools, provide effective training for teachers and work on a strategy to improve secondary school students’ attitudes towards learning in Lagos State, Nigeria.

Multimedia menurut etimologi atau asal usul bahasanya adalah berasal dari kata  multi  (latin)  “multus”  yang  berarti  banyak  atau  lebih  dari  satu.  Dan  media (latin)  berasal  dari  kata  latin  medius  yang  merupakan  bentuk  jamak  dari  kata “medium”, yang berarti perantara atau pengantar. media adalah segala sesuatu yang “medium”, yang berarti perantara atau pengantar. media adalah segala sesuatu yang pikiran, perhatian, perasaan dan juga minat serta perhatian dari siswa sedemikian rupa, sehingga di dalam proses mengajar dapat berlangsung dengan efektif dan juga efisien sesuai dengan apa yang diharapkan. Sehingga Multimedia adalah gabungan dari beberapa unsur yaitu teks, grafik, suara, video dan animasi yang menghasilkan presentasi yang menakjubkan. Multimedia juga mempunyai komunikasi interaktif yang tinggi. Bagi pengguna komputer multimedia dapat diartikan sebagai informasi komputer yang dapat disajikan melalui audio atau video, teks, grafik dan animasi. Jadi,  multimedia  adalah  suatu  kombinasi  data  atau  media  untuk  menyampaikan suatu informasi sehingga informasi itu tersaji dengan lebih menarik.

Multimedia menurut etimologi atau asal usul bahasanya adalah berasal dari kata  multi  (latin)  “multus”  yang  berarti  banyak  atau  lebih  dari  satu.  Dan  media (latin)  berasal  dari  kata  latin  medius  yang  merupakan  bentuk  jamak  dari  kata “medium”, yang berarti perantara atau pengantar. media adalah segala sesuatu yang digunakan sebagai penyalur pesan dan mengirim pesan, sehingga dapat merangsang pikiran, perhatian, perasaan dan juga minat serta perhatian dari siswa sedemikian rupa, sehingga di dalam proses mengajar dapat berlangsung dengan efektif dan juga efisien sesuai dengan apa yang diharapkan. Sehingga Multimedia adalah gabungan dari beberapa unsur yaitu teks, grafik, suara, video dan animasi yang menghasilkan presentasi yang menakjubkan. Multimedia juga mempunyai komunikasi interaktif yang tinggi. Bagi pengguna komputer multimedia dapat diartikan sebagai informasi komputer yang dapat disajikan melalui audio atau video, teks, grafik dan animasi.

In this paper we are interested in the elaboration of an approached solution to the sum coloring problem (MSCP), which is an NP-hard problem derived from the graphs coloring (GCP). The problem (MSCP) consists in minimizing the sum of colors in a graph. Our resolution approach is based on an hybridization of a genetic algorithm and a local heuristic based on an improvement of the maximal independent set algorithm given by F.Glover [4].

Educational Technology became vital in the teaching and learning process, particularly during the Covid-19 era. However, a host of challenges associated with the integration of ET in the teaching and learning process were unearthed. This study sought to establish the extent to which Educational Technology was integrated into the teaching and learning of Design-based subjects at the diploma level during the COVID-19 pandemic and to explore strategies that can be adopted to improve the quality of teaching and learning in teacher education in times of crises. The study employed a qualitative approach methodology utilising a case study research design. A sample of five lecturers and twenty students was purposively selected. Data were analysed thematically. Results revealed that lecturers have adequate content knowledge about the design-based subjects which they teach but do not have sufficient technological and pedagogical knowledge. The study recommends in-service training of lecturers to effectively use educational technology in teaching processes.

Kebutuhan akan informasi yang cepat, akurat, dan tepat waktu merupakan suatu hal yang mutlak pada era yang serba cepat ini. Keterlambatan dalam menyajikan informasi yang dibutuhkan akan menyebabkan informasi tersebut tidak relevan lagi bagi penggunanya. Sistem Informasi Administrasi Pasien Rawat Jalan dan Rawat Inap Pada Puskesmas Tanjung Raja berangkat dari visi misi dan tujuan dari Puskesmas Tanjung Raja tersebut. Yaitu terwujudnya pelayanan yang baik kepada masyarakat. Sistem Informasi ini akan memudahkan proses-proses tersebut, sehingga pengolahan data-data yang ada akan lebih cepat dan akurat serta meberikan kemudahan staff puskesmas dalam menjalankan tugasnya. metode yang digunakan yaitu RAD (Rapid Application Development (RAD) adalah metode model proses pengembangan perangkat lunak yang bersifat incremental terutama untuk waktu pengerjaan jangka pendek. Desain aplikasi menggunakan sistem UML (Unified Modelling language) yaitu terdiri dari use Case Diagram, Class Diagram, Acti...

Sachet is a Network based Intrusion Detection System developed at IIT Kanpur. It monitors the network traffic to detect any unwanted attempts to compromise the security of the network by malicious users. Recently an Intrusion Prevention functionality was also added to it. IPS monitors network traffic inline and prevent intrusions by dropping the malicious packets before they reach the actual host. In this thesis, we are adding two functionalities needed to enhance the utility of the system. One of major technique to prevent an IDS/IPS from detecting an attack is through splitting the signature into two packets of a TCP Connection. As the IDS/IPS checks for signature in each packet individually it would not be able to detect this attack. However, on the host machine these packets would be reassembled and a stream of data is available to the application. Hence, it would get compromised. We are adding a TCP Reassembly module to our IPS so that it can detect those attacks which would have went though undetected. We are also adding a Web based Graphical User Interface to the system so that a network administrator can monitor the IDS from a remote machine. Currently, the information about the alerts (and the status of network and nodes) can be monitored only from the server machine. I take this opportunity to express my sincere gratitude towards my thesis supervisor, Dr. Dheeraj Sanghi, for his continuous support and guidance. He provided me with many valuable ideas throughout the thesis period. I also thank Prabhu Goel Research Center and Army Technology Board for partially supporting my thesis. I would also like to thank all the faculty members of Department of Computer Science for imparting invaluable knowledge on me. I would also like to thank my project partner, Chinmay Asarawala, for his cooperation and innovative suggestions. I would also like to thank my colleagues, Vinaya Natarajan, Devendar Bureddy, Satyam Sharma and Dungara Ram Choudhary for their suggestions. I would like to thank all my classmates too for making my stay at IITK enjoyable. Finally, I would like to thank my parents for their constant support and encouragement in all my endeavours.

Le travail réalisé tout au long de cette thèse n'a été possible qu'avec l'aide et le soutien de nombreuses personnes. Je profite de l'occasion qui m'est donnée ici pour leur exprimer toute ma gratitude. Je tenais en premier lieu à remercier vivement Jean-Jacques Pansiot, mon directeur de thèse, pour son encadrement et sa disponibilité. Merci Jean-Jacques de m'avoir fait partager tes connaissances, ton expérience et ta bonne humeur. Ce fut un réel plaisir de travailler pendant ces années sous ta direction. Je souhaite remercier chaleureusement Dominique Grad et Benoît Hilt, mes coencadrants de thèse, pour m'avoir prodigué de précieux conseils et pour m'avoir apporté de nombreuses idées au cours de ce travail. Je remercie Messieurs Guy Leduc, Thomas Noël, Vincent Roca et François Spies pour l'intérêt qu'ils ont porté à mes travaux en acceptant de faire partie de mon jury de thèse. Je tiens également à remercier toute l'équipe Réseaux et Protocoles du LSIIT. En particulier les doctorants présents et passés, avec qui j'ai beaucoup appris, partagé et apprécié travailler. Merci à Alexander, Damien, Émil, Julien, Julien, Mickaël, Pascal et Romain, pour votre disponibilité et votre gentillesse. Enfin, je remercie également ma famille et mes amis qui m'ont toujours soutenu, encouragé et sans qui je n'écrirais pas ces lignes. i vi independently of the reception rate. To deal with these problems, we propose a sequencer and its API, which assure that the more important the data is, the lower its sending rate is. And thus acquired by the majority of receivers. Experiments have shown the sequencer optimal performances insuring that a receiver subscribed to N% of the source rate obtains the most important N% of the applicative data. Moreover, applications can use this API without knowing anything about the dynamic layering used by M2C. Therefore, this API is easy to use, which makes it suitable for various kind of applications. Indeed, we have demonstrated the usefulness of the API and the underlying congestion control protocol by implementing two experimental applications : a file transfer [MU-TUAL] and a video streaming software [MUST].

We present an interactive application that enables users to improve the visual aesthetics of their digital photographs using spatial recomposition. Unlike earlier work that focuses either on photo quality assessment or interactive tools for photo editing, we enable the user to make informed decisions about improving the composition of a photograph and to implement them in a single framework. Specifically, the user interactively selects a foreground object and the system presents recommendations for where it can be moved in a manner that optimizes a learned aesthetic metric while obeying semantic constraints. For photographic compositions that lack a distinct foreground object, our tool provides the user with cropping or expanding recommendations that improve its aesthetic quality. We learn a support vector regression model for capturing image aesthetics from user data and seek to optimize this metric during recomposition. Rather than prescribing a fully-automated solution, we allow user-guided object segmentation and inpainting to ensure that the final photograph matches the user's criteria. Our approach achieves 86% accuracy in predicting the attractiveness of unrated images, when compared to their respective human rankings. Additionally, 73% of the images recomposited using our tool are ranked more attractive than their original counterparts by human raters.

This work is overview in field of dynamic and static QR-coding. The main attention is paid to peculiarities of using dynamic and static QR codes. The paper proposes classification of QR-codes. Key code characteristics that you should pay attention to when selecting and writing code have also been identified. A comparison of dynamic and static QR-coding is given.

Pemakaian VR dalam desain interior berpotensi membawa perubahan bagaimana para profesional merancang ruang. Kemajuan ini memungkinkan desainer untuk menggali lebih dalam detail ruang interior, bahkan sebelum kontruksi dimulai. Artikel ini membahas bagaimana VR memungkinkan visualisasi yang lebih baik dan kolaborasi yang lebih efektif. Melalui artikel ini diharapkan dapat memberikan pemahaman yang lebih dalam tentang dampak positif dan potensi penggunaan teknologi VR dalam desain interior bangunan di era modern, serta menginspirasi para professional industry dan pemilik property untuk menjelajahi dan mengadopsi inovasi ini dalam upaya menciptakan ruang interior yang lebih fungsional, menarik dan efisien.

Recent advances in deep learning have expanded possibilities to generate music, but generating a customizable full piece of music with consistent long-term structure remains a challenge. This paper introduces MusicFrameworks, a hierarchical music structure representation and a multi-step generative process to create a full-length melody guided by long-term repetitive structure, chord, melodic contour, and rhythm constraints. We first organize the full melody with section and phrase-level structure. To generate melody in each phrase, we generate rhythm and basic melody using two separate transformer-based networks, and then generate the melody conditioned on the basic melody, rhythm and chords in an auto-regressive manner. By factoring music generation into sub-problems, our approach allows simpler models and requires less data. To customize or add variety, one can alter chords, basic melody, and rhythm structure in the music frameworks, letting our networks generate the melody accordingly. Additionally, we introduce new features to encode musical positional information, rhythm patterns, and melodic contours based on musical domain knowledge. A listening test reveals that melodies generated by our method are rated as good as or better than human-composed music in the POP909 dataset about half the time.

Stališča učiteljev do uporabe sodobne tehnologije pri pouku matematike Povzetek: Raba sodobne tehnologije pri pouku matematike prinaša številne prednosti tako za učitelje kot za učence. Te morajo spoznati in prepoznati učitelji, saj je uspešna raba tehnologije pri pouku odvisna predvsem od njih. V okviru reformiranja sistema vzgoje in izobraževanja ter s tem prenove učnih načrtov je treba upoštevati novosti in mednarodne trende, med katerimi je tudi digitalizacija družbe. Učitelji bodo morali slediti spremembam v procesu izobraževanja ter v poučevanje vključevati sodobno tehnologijo na tak način, da bo njena raba pedagoško in didaktično premišljena. Zato bi bilo treba zagotoviti strokovna izobraževanja, s katerimi bodo učitelji bolj kompetentni in samozavestni pri vključevanju sodobne tehnologije v pouk. Toda ali so učitelji pripravljeni na tovrstne spremembe? Z raziskavo, ki jo predstavljamo v prispevku, smo poskušali ugotoviti stališča učiteljev glede rabe dinamične geometrije pri pouku matematike ter raziskati dejavnike, ki vplivajo na oblikovanje njihovih stališč. Anketirali smo 117 osnovnošolskih učiteljev, ki so v šolskem letu 2022/2023 poučevali matematiko v 2. ali 3. vzgojno-izobraževalnem obdobju osnovne šole. Ugotovili smo, da je pripravljenost za vključevanje sodobne tehnologije v pouk pri bolj izkušenih učiteljih manjša v primerjavi z manj izkušenimi učitelji ter da se učitelji zavedajo, da je slovenski učni načrt za matematiko treba spremeniti v smislu, da bo podpiral rabo računalniško podprte tehnologije pri pouku.

This study explored the impact of formal basic teacher training on the lecturing skills of physicians who serve as faculty in a Philippine medical school after the COVID-19 pandemic. An investigative mixed-method triangulation methodology was utilized to examine data collected from three groups: the faculty themselves, their supervisors, and medical students. They were asked about the lecturing skills of the faculty focusing on five areas: explaining learning objectives and outcomes, selecting content, creating audiovisual aids, using effective communication skills, and managing virtual classrooms. Based on the recorded answers to three different validated questionnaires and the responses to three different focused group discussions, the formal teacher training course helped enforce the importance of explaining the learning objectives and outcomes but only provided minimal contributions as far as selecting content, creating audiovisual aids, using effective communication skills, and no contributions in managing virtual classrooms were concerned. Because post-pandemic classrooms have maintained indispensable virtual class settings, basic teacher training courses must emphasize upgrading the faculty's online lecturing skills, especially in content selection, audiovisual aids creation, effective communication, and virtual classroom management.

Aplikasi Psycho Attitude Test merupakan aplikasi yang digunakan untuk menentukan karakter seorang siswa Sekolah Menengah Atas khususnya dalam memberikan rekomendasi untuk menentukan pilihan Penjurusan Eksak atau Sosial. Ada beberapa karakter kepribadian menurut Dimyati Mahmud (1989) 4 kelompok secara luas yaitu plegmatis, koleris, melankolis, dan sanguine. Kurang minatnya orang tua untuk mencoba mengikutkan anaknya dalam psikotes merupakan masalah yang dihadapi selain itu faktor jarak, kecepatan dan keuangan menjadi penyebab utamanya. Menentukan sebuah pilihan di bidang akademis sangat menentukan siswa dalam mengarungi kegiatan belajar mengajar. Siswa akan belajar dengan sungguh sungguh apabila sesuai dengan isi hati para siswa dan tidak dipaksakan. Aplikasi ini menggunakan metode KSPM (Koleris, Sanguin, Phlegmatis, Melankolis). Aplikasi ini sangat membantu siswa dalam memberikan rekomendasi yang akurat untuk siswa Sekolah Menengah Atas Negeri 3 Bangkalan. Aplikasi ini sudah di uji ...

Time-critical analysis of social media streams is important for humanitarian organizations to plan rapid response during disasters. The crisis informatics research community has developed several techniques and systems to process and classify big crisis related data posted on social media. However, due to the dispersed nature of the datasets used in the literature, it is not possible to compare the results and measure the progress made towards better models for crisis informatics. In this work, we attempt to bridge this gap by standardizing various existing crisis-related datasets. We consolidate labels of eight annotated data sources and provide 166.1k and 141.5k tweets for informativeness and humanitarian classification tasks, respectively. The consolidation results in a larger dataset that affords the ability to train more sophisticated models. To that end, we provide baseline results using CNN and BERT models. We make the dataset available at https://crisisnlp.qcri.org/crisis_datasets_benchmarks.html.

This paper presents the validation process and results of a study to develop a measure for assessing students' attitude towards learning embedded systems design course. The instrument content validity was verified, and a pilot test was performed to assess the instrument reliability. The instrument construct validity was established using Rasch Analysis and WINSTEPS 3.92.1. Our results showed that all the instrument items fit the Rasch measurement model with acceptable fit index (0.6-1.4) and demonstrated excellent consistency, with a reliability alpha of 0.98 and 0.87 for items and persons respectively. The results showed that the survey instrument was reliable and valid. This study also revealed that most students developed some negative attitudes in the process of learning embedded system design.

This study introduces an innovative hybridized model, Fuzzy DEM-SAW, designed to enhance the precision and efficacy of lecturers' performance evaluations for the purpose of promotion. This novel approach integrates two distinct methodologies, Fuzzy DEMATEL (Decision Making Trial and Evaluation Laboratory) and SAW (Simple Additive Weighting), presenting a comprehensive framework for the evaluation of lecturers based on the critical criteria of Teaching, Research, Service, and Commercialization (TRSC). The study's purpose is to rank lecturers for promotion. The Fuzzy DEMATEL technique is employed to derive weights, serving as a fundamental basis for subsequent ranking through the Fuzzy SAW process. The proposed model is applied to a case study, revealing significant findings pertaining to lecturers' performance evaluation. The outcomes disclose that Benone secured the foremost position with an Si value of 0.7, followed by Begu-Ellah at 0.583, and Bemane at 0.488. These results provide valuable insights for decision-makers involved in the promotion evaluation process. This research not only contributes to the advancement of hybridized fuzzy models but also holds practical implications for optimizing the assessment of lecturers in academic institutions, thereby contributing to the broader discourse on performance evaluation methodologies in academia.

Content Delivery Networks (CDNs) have emerged as a critical component in modern cloud computing, playing a pivotal role in enhancing global digital experiences. This paper explores the multifaceted impact of CDNs on the performance, scalability, security, and reliability of cloud-based services. By leveraging a geographically distributed network of servers, CDNs bring content closer to end-users, significantly reducing latency and improving user engagement. The paper examines how CDNs cache content close to users, handle sudden traffic spikes, and accommodate growing user demands without costly infrastructure expansions. Furthermore, it delves into the enhanced security measures provided by CDNs, including DDoS mitigation, web application firewall integration, and TLS/SSL encryption. The seamless integration of CDNs with existing cloud services and their ability to facilitate a unified approach to content delivery across various applications are also discussed. The paper highlights the importance of CDNs in ensuring fast and reliable content delivery worldwide, breaking down geographical barriers for a consistent user experience. Additionally, it explores the evolution of modern CDNs to embrace edge computing capabilities, pushing the boundaries of cloud computing innovation. Finally, the paper concludes by emphasizing the indispensable nature of CDNs in the architectural evolution of cloud computing and their crucial role in optimizing digital experiences for a global audience

Wireless Sensor Networks (WSNs) have attracted researchers and devel opers in the last decade because of its small size, minimum power consumption and lightweight, having the ability to monitor, measure and communicate over wireless channel in various fields of our daily life. This paper evaluates WSNs applications in agriculture, comparing different IEEE802.15.4/ZigBee topologies (Tree, Mesh and Grid) for the enhanced and precision agriculture. Multiple network scenarios are simulated to study the performance of WSNs topologies in terms of throughput, network load and end-to-end delay. Simulation results show that the WSNs have better throughput and network usage when tree topology is used. WSNs with tree topology show an increase of 11% and 57% in throughput as compare to Mesh and Grid topologies respectively. Tree topology also has 35% and 80% more network load than Mesh and Grid topologies respectively. However, the end-to-end delay of ZigBee based Tree topology has 1% and 2 % more delay than Mesh and Grid respectively, which is negligible in the proposed study.

This research is motivated by the results of observations with teachers about the phenomenon of children's character development through story media that is inconsistent with the development of children ages 5-6 years old. It is assumed that the stories used by the teacher does not contain character traits. Thus, this study aims to develop a story model for the strengthening of early childhood character traits. The focuses of the character values in the developed story are namely: honesty; environmental caring, and social caring. This study used a research and development model. The analysis process used a qualitative descriptive analysis of the results of observations on teacher responses as users. The steps were potential and issues, data collection, product design, design validation, design revision, product testing. This research resulted in a product in the form of three stories titles: "Janji Kardosi", "Kabar dari Samudra", and "Pipit dan Elang". Book eligibility uses two criteria, namely instructional criteria and presentation criteria. The validation is carried out by academics (media expert tests) and practitioners in the field of early childhood education. Meanwhile, the readability of the three storybook titles was carried out to six kindergarten teachers. Based on the learning criteria, the created storybook has honesty, environmental caring, and social caring character traits, while the performance criteria (illustrations) are able to explain the stories' sequences, settings, animations, and characters very well. In addition, based on the aspects of child development, the books created have a more dominant visual appearance compared to text and the type face in the storybooks possesses a good readability level for children.

Over-the-Top (OTT) services encompass video and audio delivery over the Internet without the strict and direct control of Telecom operators, being attractive, low-cost and profitable. Due to the increasing use of the Internet and the increasing bandwidth provided by Telecom operators, excellent conditions were leveraged for the raise and growth of OTT multimedia streaming services, shown by the huge success of YouTube and Netflix. OTT services grow at a fast pace driven by a low barrier of entry, mostly because of little to no investment being required in infrastructures traditionally necessary to reach the masses. This fast-paced growth presents an opportunity for all the involved partners, but comes with several challenges, especially in terms of OTT content distribution scalability with high perceived QoE levels experienced by the consumers. This paper presents a novel Distributed Smart Management Cache (DSMC) architecture based on distributed caching model taking advantage of all horizontally available edge caches, thus avoiding repetition of content among caches of the same members group, which horizontally solves scalability challenges, enhancing clients' perceived Quality of Experience (QoE) in comparison to traditional decentralized architectures. Exhaustive tests were performed with several clients using a real QoE probe in different scenarios (fixed at home and mobile at street), with particular conditions imposed by consumer habits, and by network impairments (jitter, latency and poor bandwidth, etc.) from the involved technologies (Fiber, Wi-Fi and 4G LTE). The obtained results confirm that the proposed DSMC architecture plays an important role on providing QoE requirements and bandwidth consumption in the OTT delivery, reducing edge cache loads and consumed bandwidth by upstream content server/origin.

Les propositions les plus avancées, comme Wave and Equation Based Rate Control (WEBRC) [Luby 02], utilisent de tels canaux dynamiques et prennent en compte l'équité des débits obtenus avec PROBLÉMATIQUE ETÉTAT DE L'ART 7 1. En SSM IGMPv3 ou MLDv2 est nécessaire, car seules ces versions permettent de spécifier une source pour un groupe multicast.

An important concept in the available bit rate (ABR) service model as defined b y the ATM Forum is the minimum cell rate (MCR) guarantee as well as the peak cell rate (PCR) constraint for each ABR virtual connection (VC). Because of the MCR and PCR requirements, the well-known max-min fairness policy no longer sufices to determine rate allocation in the ABR service model. We introduce a network bandwidth assignment policy, MCRadd, which supports both the MCR and PCR requirements for each ABR virtual connection. A centralized algorithm is presented to compute network-wide bandwidth allocation t o achieve this policy. Furthermore, an explicit-rate (ER) based ABR switch algorithm is developed to achieve the MCRadd policy in the distributed ABR environment and its convergence proof is also given. The performance of our ABR algorithm is demonstrated b y simulation results based on the benchmark network configurations suggested by the ATM Forum.

ALICANTE is a FP7 research project proposing an architecture in which, the CAN layer offers enhanced content-aware connectivity services to the upper layers for the efficient transport of media services. ALICANTE integrates, in an efficient way, and in the same tree, three separate transport mechanisms for multicast traffic-IP multicast, inter-domain tunnelling, and peer-to-peer-with QoS and dynamic adaptation support, which is something unique, not found in related solutions. It also allows independent domains to collaborate in forming a single inter-domain tree, for incremental deployment. While it uses legacy QoS technologies, such as core IP/MPLS/Diffserv in the core routers, it proposes a new edge router, called MANE (Media Aware Network Element), CAN capable. This paper evaluates a modular MANE implementation solution used to implement flow classification, MPLS encapsulation and decapsulation, separation between VCANs, and QoS enforcement with Linux TC (traffic control) mechan...

This paper proposes an architectural management solution for a multicast hybrid infrastructure optimised to transport real time multimedia flows. The multicast capabilities are offered to the upper layers as connectivity services by an overlay multi-domain Content-Aware Network. The overall system is based on new concepts like Content-Aware Network and respectively Network Aware Application. A hybrid multicast framework, Quality of Services capable is proposed, where IP intra-domain multicast is combined with inter-domain overlay multicast. The management aspects of this infrastructure are discussed. The design, validation and implementation of a system based on this architecture are currently under development in the European FP7 ICT research project, ALICANTE.

The amount of information that people share on social networks is constantly increasing. People also comment, annotate, and tag their own content (videos, photos, notes, etc.), as well as the content of others. In many cases, the content is tagged manually. One way to make this time-consuming manual tagging process more efficient is to propagate tags from a small set of tagged images to the larger set of untagged images automatically. In such a scenario, however, a wrong or a spam tag can damage the integrity and reliability of the automated propagation system. Users may make mistakes in tagging, or irrelevant tags and content may be added maliciously for advertisement or self-promotion. Therefore, a certain mechanism insuring the trustworthiness of users or published content is needed. In this chapter, we discuss several image retrieval methods based on tags, various approaches to trust modeling and spam protection in social networks, and trust modeling in geotagging systems. We th...

The amount of information that people share on social networks is constantly increasing. People also comment, annotate, and tag their own content (videos, photos, notes, etc.), as well as the content of others. In many cases, the content is tagged manually. One way to make this time-consuming manual tagging process more efficient is to propagate tags from a small set of tagged images to the larger set of untagged images automatically. In such a scenario, however, a wrong or a spam tag can damage the integrity and reliability of the automated propagation system. Users may make mistakes in tagging, or irrelevant tags and content may be added maliciously for advertisement or self-promotion. Therefore, a certain mechanism insuring the trustworthiness of users or published content is needed. In this chapter, we discuss several image retrieval methods based on tags, various approaches to trust modeling and spam protection in social networks, and trust modeling in geotagging systems. We then consider a specific example of automated geotag propagation system that adopts a user trust model. The tag propagation in images relies on the similarity between image content (famous landmarks) and its context (associated geotags). For each tagged image, similar untagged images are found by the robust graph-based object duplicate detection, and the known tags are propagated accordingly. The user trust value is estimated based on a social feedback from the users of the photo-sharing system, and only tags from trusted users are propagated. This approach demonstrates that a practical tagging system significantly benefits from the intelligent combination of efficient propagation algorithm and a user-centered trust model.

Security like information are abstract phenomenon that cannot be fully efficient or without any redundancy. We can only increase the robustness of communication system by some so called ciphering methods like cryptography, steganography and authentication technique which like password is a personal locking arrangement. We have presented here a security proposal for information coding (Unfortunately binary method due to bottleneck of technology. The method uses combinatory as inherent device). In our case we have used combinatorial graph algorithm that generates a robust key which can be decipher as we desire. The efficiency of our system is at least translucent if not opaque. We think that the techniques will phosphor as we proceed.