Aplikasi berbasis cloud menjadi sebuah produk yang sangat bermanfaat bagi pembelajaran termasuk media pembelajaran untuk kegiatan yang bersifat ekstrakurikuler seperti paduan suara di masa pandemi ...COVID-19. Aplikasi pembelajaran ini mampu membantu instruktur untuk menganalisis kemampuan calon anggota baru dan menentukan strategi yang tepat supaya harmoni dan melodi di dalam paduan suara tersebut terjalin dengan baik. Hal ini dapat diupayakan melalui penilaian intonasi sebagai salah satu fitur media pembelajaran tersebut. Penilaian intonasi dilakukan berdasarkan penentuan pitch error dan stabilitas nada pada jenis vokal bass pria. Pengembangan fitur di dalam aplikasi ini tidak dapat dilakukan secara biasa, teknik penilaian intonasi perlu diterapkan dengan baik karena intonasi berperan terhadap keselarasan nada. Penelitian ini merupakan penelitian pendahulu yang akan dikembangkan ke penelitian-penelitian berikutnya yang melibatkan nada lain dan dilaksanakan secara orkestra. Hasil penerapan teknik pada kegiatan ini menunjukkan tidak ada ketimpangan di antara vokal dari calon anggota baru paduan suara sebagai data uji dengan vokal anggota paduan yang disimpang di dalam database sebagai dataset.
Moments as projections of an image’s intensity onto a proper polynomial basis can be applied to many different aspects of image processing. These include invariant pattern recognition, image ...normalization, image registration, focus/ defocus measurement, and watermarking. This book presents a survey of both recent and traditional image analysis and pattern recognition methods, based on image moments, and offers new concepts of invariants to linear filtering and implicit invariants. In addition to the theory, attention is paid to efficient algorithms for moment computation in a discrete domain, and to computational aspects of orthogonal moments. The authors also illustrate the theory through practical examples, demonstrating moment invariants in real applications across computer vision, remote sensing and medical imaging.Key features:Presents a systematic review of the basic definitions and properties of moments covering geometric moments and complex moments. Considers invariants to traditional transforms – translation, rotation, scaling, and affine transform - from a new point of view, which offers new possibilities of designing optimal sets of invariants. Reviews and extends a recent field of invariants with respect to convolution/blurring. Introduces implicit moment invariants as a tool for recognizing elastically deformed objects. Compares various classes of orthogonal moments (Legendre, Zernike, Fourier-Mellin, Chebyshev, among others) and demonstrates their application to image reconstruction from moments. Offers comprehensive advice on the construction of various invariants illustrated with practical examples. Includes an accompanying website providing efficient numerical algorithms for moment computation and for constructing invariants of various kinds, with about 250 slides suitable for a graduate university course. Moments and Moment Invariants in Pattern Recognitionis ideal for researchers and engineers involved in pattern recognition in medical imaging, remote sensing, robotics and computer vision. Post graduate students in image processing and pattern recognition will also find the book of interest.
Data Mining: Concepts and Techniques provides the concepts and techniques in processing gathered data or information, which will be used in various applications. Specifically, it explains data mining ...and the tools used in discovering knowledge from the collected data. This book is referred as the knowledge discovery from data (KDD). It focuses on the feasibility, usefulness, effectiveness, and scalability of techniques of large data sets. After describing data mining, this edition explains the methods of knowing, preprocessing, processing, and warehousing data. It then presents information about data warehouses, online analytical processing (OLAP), and data cube technology. Then, the methods involved in mining frequent patterns, associations, and correlations for large data sets are described. The book details the methods for data classification and introduces the concepts and methods for data clustering. The remaining chapters discuss the outlier detection and the trends, applications, and research frontiers in data mining. This book is intended for Computer Science students, application developers, business professionals, and researchers who seek information on data mining. * Presents dozens of algorithms and implementation examples, all in pseudo-code and suitable for use in real-world, large-scale data mining projects * Addresses advanced topics such as mining object-relational databases, spatial databases, multimedia databases, time-series databases, text databases, the World Wide Web, and applications in several fields * Provides a comprehensive, practical look at the concepts and techniques you need to get the most out of your data
Révész György portréja a Neumann János Számítógép-tudományi Társaság (NJSZT) Informatikatörténeti Fóruma (iTF) szervezésében készített "Arcképek a magyar informatika történetéből" sorozatában.
Masa pandemi Covid-19 menyebabkan perubahan strategi pembelajaran dari offline menjadi online. Pembelajaran online ini bukan merupakan hal baru, namun pembelajaran online pada masa pandemi sangat ...berbeda karena pembelajaran harus dilakukan full daring selama 1 semester. Tujuan dari penelitian ini adalah untuk mengetahui pengaruh penerapan video conference dalam pembelajaran sinkronus yang dilakukan secara online. Penelitian ini merupakan penelitian eksperimentasi dengan populasi mahasiswa Teknik Informatika STIKI, dengan pengambilan sampel secara random pada mahasiswa yang menempuh mata kuliah bersama dan mata kuliah keahlian. Analisis data yang digunakan adalah Uji Mann Whitney. Hasil dari penelitian ini adalah tidak ada perbedaan hasil belajar yang diukur dari nilai posttest mahasiswa antara pembelajaran daring dengan menggunakan video conference dan LMS Moodle yang dikembangkan di STIKI tanpa menggunakan video conference pada mata kuliah bersama. Sedangkan pada mata kuliah keahlian ada perbedaan hasil belajar yang diukur dari nilai posttest mahasiswa antara kegiatan perkuliahan daring dengan menggunakan video conference dan kegiatan daring dengan Moodle saja tanpa menggunakan video conference. Pembelajaran melalui video conference tidak selalu berpengaruh pada hasil belajar, namun ada beberapa faktor lain yang mempengaruhi, seperti tingkat kesulitan materi dan ketertarikan mahasiswa untuk mempelajari materi.
U drugom desetljeću dvadeset prvog stoljeća ponuđen je model obrazovanja koji je postao poznat kao akronim STEM. Taj model prihvaćen je kao osnova za reforme školovanja pa tako i u Hrvatskoj. ...Podrobnijim analizama upućivalo se na nedostatke toga modela. Stoga je predložen temelj obrazovanja koji se označuje akronimom STEAL – prirodoznanstvo, informatika, tehnika, art i jezici: formalni (npr., matematika, logika i računalstvo) te humani: vizualni i auditivni.
Pemerintah merintis pembelajaran daring agar akses mahasiswa mempelajari mata kuliah bermutu dari dosen-dosen bermutu se-Indonesia meningkat. Seperti halnya pendidikan tradisional, pendidikan daring ...juga memiliki kelebihan dan kekurangan, meskipun pelaksanaannya lebih menarik. Pada pelaksanaannya, pembelajaran daring tidak berjalan lancar karena pendidik masih memiliki keraguan tentang apakah ada perbedaan antara hasil belajar mahasiswa yang menggunakan pembelajaran moda daring dan moda tatap muka. Tujuan penelitian ini adalah untuk membuktikan hipotesis bahwa ada perbedaan antara hasil belajar mahasiswa yang menggunakan pembelajaran moda daring dan moda tatap muka. Penelitian ini adalah true experimental design dengan the randomized pretest-posttest control group design. Subyek penelitian adalah Kelas TI-A dan TI-B. Kedua kelompok tersebut diukur melalui pretest dan posttest. Kelas TI-A adalah kelas eksperimen yang menggunakan pembelajaran moda daring, sedangkan kelas TI-B adalah kelas kontrol yang menggunakan pembelajaran tatap muka. Melalui uji independent sampel T test, diperoleh t Test for Equality of Means dengan sig.(2 tailed) adalah 0.017. Sehingga dapat disimpulkan bahwa bahwa terdapat perbedaan hasil belajar mahasiswa yang menerapkan pembelajaran moda daring dan pembelajaran tatap muka. Besarnya perbedaan hasil belajar kedua kelompok bernilai positif, yaitu 10.67. Artinya, hasil belajar mahasiswa dengan pembelajaran moda daring lebih baik dari hasil belajar mahasiswa dengan pembelajaran tatap muka.
This study aims to determine and analyze network performance with quality of service parameters in realizing good and optimal network performance quality so that it can be adjusted between the ...efficiency of network needs and the effectiveness of user access at the Communication and Informatics Office of West Sumbawa Regency. The process of accumulating data is obtained by measuring the quality of service parameters using the quality of service method and measuring bandwidth load distribution with the load set at 30 Mbps. The quality of service method on the network, the influence between the variables of network performance quality on the internet connection, and the bandwidth capacity of each user are known. The study results from the quality of service analysis at the Communication and Informatics Service of West Sumbawa Regency entered the excellent category with an average throughput value ranging from 10,320-1,026,454 kbps from the fourth index being in the excellent category. The average packet loss value of 0-1.5% of the third index is in a good category, with the highest value occurring on the fifth day, 1.5%. The average delay value ranges from 7-150 ms, with the highest delay value occurring on the first day due to the user's distance from the remote network access source and queues in dense packet transmission. The average jitter value of 1-12 ms from the third index is in a good category, and the maximum result of the bandwidth value set in size is 9,092,407 bps
Automated Planning Ghallab, Malik; Nau, Dana; Traverso, Paolo
2004, 2004-05-21
eBook, Book
Automated planning technology now plays a significant role in a variety of demanding applications, ranging from controlling space vehicles and robots to playing the game of bridge. These real-world ...applications create new opportunities for synergy between theory and practice: observing what works well in practice leads to better theories of planning, and better theories lead to better performance of practical applications. Automated Planning mirrors this dialogue by offering a comprehensive, up-to-date resource on both the theory and practice of automated planning. The book goes well beyond classical planning, to include temporal planning, resource scheduling, planning under uncertainty, and modern techniques for plan generation, such as task decomposition, propositional satisfiability, constraint satisfaction, and model checking. The authors combine over 30 years experience in planning research and development to offer an invaluable text to researchers, professionals, and graduate students. *Comprehensively explains paradigms for automated planning. *Provides a thorough understanding of theory and planning practice, and how they relate to each other. *Presents case studies of applications in space, robotics, CAD/CAM, process control, emergency operations, and games.
*Provides a thorough understanding of AI planning theory and practice, and how they relate to each other. *Covers all the contemporary topics of planning, as well as important practical applications of planning, such as model checking and game playing. *Presents case studies and applications in planning engineering, space, robotics, CAD/CAM, process control, emergency operations, and games.*Provides lecture notes, examples of programming assignments, pointers to downloadable planning systems and related information online.
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