Big Data Model Simulation on a Graph Database for Surveillance in Wireless Multimedia Sensor Networks

Sensors are present in various forms all around the world such as mobile phones, surveillance cameras, smart televisions, intelligent refrigerators and blood pressure monitors. Usually, most of the sensors are a part of some other system with similar sensors that compose a network. One of such networks is composed of millions of sensors connect to the Internet which is called Internet of things (IoT). With the advances in wireless communication technologies, multimedia sensors and their networks are expected to be major components in IoT. Many studies have already been done on wireless multimedia sensor networks in diverse domains like fire detection, city surveillance, early warning systems, etc. All those applications position sensor nodes and collect their data for a long time period with real-time data flow, which is considered as big data. Big data may be structured or unstructured and needs to be stored for further processing and analyzing. Analyzing multimedia big data is a challenging task requiring a high-level modeling to efficiently extract valuable information/knowledge from data. In this study, we propose a big database model based on graph database model for handling data generated by wireless multimedia sensor networks. We introduce a simulator to generate synthetic data and store and query big data using graph model as a big database. For this purpose, we evaluate the well-known graph-based NoSQL databases, Neo4j and OrientDB, and a relational database, MySQL.We have run a number of query experiments on our implemented simulator to show that which database system(s) for surveillance in wireless multimedia sensor networks is efficient and scalable

Machine learning paradigms for modeling spatial and temporal information in multimedia data mining

Multimedia data mining and knowledge discovery is a fast emerging interdisciplinary applied research area. There is tremendous potential for effective use of multimedia data mining (MDM) through intelligent analysis. Diverse application areas are increasingly relying on multimedia under-standing systems. Advances in multimedia understanding are related directly to advances in signal processing, computer vision, machine learning, pattern recognition, multimedia databases, and smart sensors. The main mission of this special issue is to identify state-of-the-art machine learning paradigms that are particularly powerful and effective for modeling and combining temporal and spatial media cues such as audio, visual, and face information and for accomplishing tasks of multimedia data mining and knowledge discovery. These models should be able to bridge the gap between low-level audiovisual features which require signal processing and high-level semantics. A number of papers have been submitted to the special issue in the areas of imaging, artificial intelligence; and pattern recognition and five contributions have been selected covering state-of-the-art algorithms and advanced related topics. The first contribution by D. Xiang et al. “Evaluation of data quality and drought monitoring capability of FY-3A MERSI data” describes some basic parameters and major technical indicators of the FY-3A, and evaluates data quality and drought monitoring capability of the Medium-Resolution Imager (MERSI) onboard the FY-3A. The second contribution by A. Belatreche et al. “Computing with biologically inspired neural oscillators: application to color image segmentation” investigates the computing capabilities and potential applications of neural oscillators, a biologically inspired neural model, to gray scale and color image segmentation, an important task in image understanding and object recognition. The major contribution of this paper is the ability to use neural oscillators as a learning scheme for solving real world engineering problems. The third paper by A. Dargazany et al. entitled “Multibandwidth Kernel-based object tracking” explores new methods for object tracking using the mean shift (MS). A bandwidth-handling MS technique is deployed in which the tracker reach the global mode of the density function not requiring a specific staring point. It has been proven via experiments that the Gradual Multibandwidth Mean Shift tracking algorithm can converge faster than the conventional kernel-based object tracking (known as the mean shift). The fourth contribution by S. Alzu’bi et al. entitled “3D medical volume segmentation using hybrid multi-resolution statistical approaches” studies new 3D volume segmentation using multiresolution statistical approaches based on discrete wavelet transform and hidden Markov models. This system commonly reduced the percentage error achieved using the traditional 2D segmentation techniques by several percent. Furthermore, a contribution by G. Cabanes et al. entitled “Unsupervised topographic learning for spatiotemporal data mining” proposes a new unsupervised algorithm, suitable for the analysis of noisy spatiotemporal Radio Frequency Identification (RFID) data. The new unsupervised algorithm depicted in this article is an efficient data mining tool for behavioral studies based on RFID technology. It has the ability to discover and compare stable patterns in a RFID signal, and is appropriate for continuous learning. Finally, we would like to thank all those who helped to make this special issue possible, especially the authors and the reviewers of the articles. Our thanks go to the Hindawi staff and personnel, the journal Manager in bringing about the issue and giving us the opportunity to edit this special issue

PENGEMBANGAN MULTIMEDIA MOBILE LEARNING MATERI TOOLS MODELING APLIKASI 3 DIMENSI MATA PELAJARAN ANIMASI 3 DIMENSI BAGI SISWA KELAS XI JURUSAN MULTIMEDIA SMK INFORMATIKA “SUMBER ILMU” TULANGAN SIDOARJO

Tujuan dari penelitian ini adalah Mengetahui kelayakan multimedia mobile learning materi tools modeling aplikasi 3 dimensi pada mata pelajaran animasi 3 dimensi bagi siswa kelas XI Jurusan Multimedia di SMK Informatika “Sumber Ilmu” Tulangan Sidoarjo. Mengetahui keefektifan multimedia mobile learning materi tools modeling aplikasi 3 dimensi mata pelajaran animasi 3 dimensi bagi siswa kelas XI Jurusan Multimedia di SMK Informatika “Sumber Ilmu” Tulangan Sidoarjo. Berdasarkan studi awal yang dilaksanakan, diperoleh hasil analisis permasalahan berikut: guru yang mengajar masih menggunakan model konvensional, kurangnya pemanfaatan terhadap media yang ada, sedangkan untuk indikator yang harus dicapai ialah memahami bentuk model animasi 3 dimensi. Prosedur yang digunakan ialah pengembangan model ADDIE, meliputi tahap analisis, desain, pengembangan, implementasi dan evaluasi. Tahap validasi produk ditujukan kepada ahli desain pembelajaran, ahli materi, ahli media dengan penyajian data berupa masukan dan saran, instrumen berupa wawancara terstruktur format checklist. Kemudian untuk uji coba produk ditujukan pada perorangan (3 orang), kelompok kecil (6 orang) berupa instrumen angket peserta didik format checklist. Untuk tahap uji coba lapangan dilakukan pada 30 peserta didik pada kelas eksperimen, pengumpulan data melalui instrumen angket peserta didik dan tes. Teknik analisis data yang digunakan pada instrumen wawancara dan angket ialah analisis isi dan hasil. Sedangkan untuk instrumen tes menggunakan analisis hasil tes. Berdasarkan hasil lapangan yang diperoleh dapat disimpulkan bahwa, untuk uji kelayakan rencana pelaksanaan pembelajaran (80%). Untuk uji kelayakan materi tools modeling aplikasi 3 dimensi (97%). Uji kelayakan multimedia mobile learning (98,75%). Uji kelayakan bahan penyerta media (100%), sehingga media mobile learning dapat dikatakan layak digunakan dalam pembelajaran, karena hasil perolehan validasi media termasuk dalam kualifikasi sangat baik. Sedangkan untuk hasil analisis data uji t, dapat disimpulkan bahwa hasil rata-rata uji coba pretest 52 dan setelah diberi perlakuan hasil uji coba posttest menjadi 84,67 pada kelas eksperimen. Melalui perhitungan uji t dengan memperoleh hasil nilai thitung = 5,105, sehingga thitung > ttabel = 5,105>2,045 dengan taraf signifikansi 5%. Dapat simpulkan bahwa pengembangan multimedia mobile learning materi tools modeling aplikasi 3 dimensi bagi siswa kelas XI Jurusan Multimedia SMK Informatika “Sumber Ilmu” Tulangan Sidoarjo, menunjukkan perbedaan yang signifikansi dan dilihat dari rata-rata hasil posttest yang telah memenuhi standar lebih dari 75% dari peserta didik secara keseluruhan, sehingga dapat dikatakan efektif dalam pembelajaran. Kata Kunci: Pengembangan, Mobile Learning, Hasil Belajar, Tools Modeling Aplikasi 3 Dimens

Conceptual modeling of multimedia databases

The gap between the semantic content of multimedia data and its underlying physical representation is one of the main problems in the modern multimedia research in general, and, in particular, in the field of multimedia database modeling. We believe that one of the principal reasons of this problem is the attempt to conceptually represent multimedia data in a way, which is similar to its low-level representation by applications dealing with encoding standards, feature-based multimedia analysis, etc. In our opinion, such conceptual representation of multimedia contributes to the semantic gap by separating the representation of multimedia information from the representation of the universe of discourse of an application, to which the multimedia information pertains. In this research work we address the problem of conceptual modeling of multimedia data in a way to deal with the above-mentioned limitations. First, we introduce two different paradigms of conceptual understanding of the essence of multimedia data, namely: multimedia as data and multimedia as metadata. The multimedia as data paradigm, which views multimedia data as the subject of modeling in its own right, is inherent to so-called multimedia-centric applications, where multimedia information itself represents the main part of the universe of discourse. The examples of such kind of applications are digital photo collections or digital movie archives. On the other hand, the multimedia as metadata paradigm, which is inherent to so-called multimedia-enhanced applications, views multimedia data as just another (optional) source of information about whatever universe of discourse that the application pertains to. An example of a multimedia-enhanced application is a human-resource database augmented with employee photos. Here the universe of discourse is the totality of company employees, while their photos simply represent an additional (possibly optional) kind of information describing the universe of discourse. The multimedia conceptual modeling approach that we present in this work allows addressing multimedia-centric applications, as well as, in particular, multimedia-enhanced applications. The model that we propose builds upon MADS (Modeling Application Data with Spatio-temporal features), which is a rich conceptual model defined in our laboratory, and which is, in particular, characterized by structural completeness, spatio-temporal modeling capabilities, and multirepresentation support. The proposed multimedia model is provided in the form of a new modeling dimension of MADS, whose orthogonality principle allows to integrate the new multimedia modeling dimension with already existing modeling features of MADS. The following multimedia modeling constructs are provided: multimedia datatypes, simple and complex representational constraints (relationships), a multimedia partitioning mechanism, and multimedia multirepresentation features. Following the description of our conceptual multimedia modeling approach based on MADS, we present the peculiarities of logical multimedia modeling and of conceptual-to-logical inter-layer transformations. We provide a set of mapping guidelines intended to help the schema designer in coming up with rich logical multimedia document representations of the application domain, which conform with the conceptual multimedia schema. The practical interest of our research is illustrated by a mock-up application, which has been developed to support the theoretical ideas described in this work. In particular, we show how the abstract conceptual set-based representations of multimedia data elements, as well as simple and complex multimedia representational relationships can be implemented using Oracle DBMS

Multimedia Database Systems and Oracle Video Streaming

The acquisition, generation, storage and processing of multimedia data incomputers and transmission over networks have grown tremendously in the recentpast. A multimedia database management system must support multimedia datatypes in addition to providing facilities for traditional DBMS function like databasecreation, data modeling, data retrieval, data access and organization, and dataindependence.In this paper we present several aspects of multimedia databases. Most ofthe classical database systems are extended to support the storage of multimediadata. This paper will focus on oracle database and in its datatypes for supporting thestorage and management of multimedia data, known as Intermedia. It is also shownthe architecture, configuration and implementation of video streaming. All themultimedia data are stored inside the oracle database so they will be undertransactional control. The implementation uses several tables to demonstrate all theprocess for doing it in the Oracle database with Helix server. We have created theprocedures in PL/SQL for inserting, retrieving the video and we have also used aPL/SQL package integrated with PHP script in order to help users to makesearching using keywords

Information Seeking Support System for E-Learning

[[abstract]]How to provide a multimedia information seeking support system (ISSS) is becoming more and more imperative. In this paper, we provide a multimedia ISSS for e-learning. This system requires flexible support for the modeling of multimedia content models and also supports possible interactivity, transfer of streams multimedia data such as audio, video, text and annotations using network facilities. However, we investigated the existing standards and applications for multimedia documents models such as HTML, MHEG, SMIL, and HyTime etc. We propose a new approach for the modeling of reusable and adaptable multimedia content. We also developed a comprehensive system for advanced multimedia content production: support for recording the presentation, retrieving the content, summarizing the presentation, weaving the presentation and customizing the representation. This approach significantly impacts and supports the multimedia presentation authoring processes in terms of methodology and commercial aspects.[[sponsorship]]IEEE Taipei Section; National Science Council; Ministry of Education; Tamkang University; Asia University; Providence University; The University of Aizu; Lanzhou University[[conferencetype]]國際[[conferencetkucampus]]淡水校園[[conferencedate]]20091203~20091205[[booktype]]紙本[[iscallforpapers]]Y[[conferencelocation]]Tamsui, Taipei, Taiwa

The fan fiction reading guide: the use of multimedia and comments as close reading tools

This paper considers the benefits of including multimedia in fan fiction multimedia and its effects on the close-reading and critical analysis skills of readers. By completing an illustrative and cumulative case study with three fan fiction authors who are currently writing and publishing a new fiction (fic), the author was able to view the production and promotion of fan fiction and its accompanying multimedia. Additionally, this research analyzed the comments from these works through topic modeling and term frequency as well as other data analysis methods. Through both the data analysis and the interviews, several conclusions were discovered, including the conclusion that readers are able to build their skills through fan fiction and multimedia