Laporan ini membahas tentang pemrograman API XML dengan PHP dan MySQL. Laporan ini disusun oleh Nanang Chaelani dengan nomor mahasiswa 1110651011 dari Program Studi Teknik Informatika Fakultas Teknik Universitas Muhammadiyah Jember pada tahun 2014.
The document contains repeated URLs for a Facebook page and blogspot site about making money online in Turkey. It does not contain any other text, so it is not possible to determine the purpose or essential information from just these repeated URLs.
Laporan ini membahas tentang pembuatan API menggunakan format JSON melalui bahasa pemrograman PHP dengan tujuan agar mahasiswa dapat memahami teori JSON, menerapkannya dalam pembuatan API, dan membaca file JSON.
Dokumen ini membahas tentang pembuatan XML menggunakan PHP dan basis data MySQL. Topik utama mencakup tujuan pembuatan, bahan yang diperlukan, dasar teori XML, PHP dan MySQL, serta hasil pembuatan database dan tampilan web untuk menampilkan, menambah, memperbarui, dan menghapus data film dan aktor.
Worldwidevoltage.com is the leader in 110/220 volts electronics, appliances from the reputable brands of the world. We deliver our products to most part of the globe, including North America Europe and Asia.
The document contains repeated URLs for a Facebook page and blogspot site about making money online in Turkey. It does not contain any other text, so it is not possible to determine the purpose or essential information from just these repeated URLs.
Laporan ini membahas tentang pembuatan API menggunakan format JSON melalui bahasa pemrograman PHP dengan tujuan agar mahasiswa dapat memahami teori JSON, menerapkannya dalam pembuatan API, dan membaca file JSON.
Dokumen ini membahas tentang pembuatan XML menggunakan PHP dan basis data MySQL. Topik utama mencakup tujuan pembuatan, bahan yang diperlukan, dasar teori XML, PHP dan MySQL, serta hasil pembuatan database dan tampilan web untuk menampilkan, menambah, memperbarui, dan menghapus data film dan aktor.
Worldwidevoltage.com is the leader in 110/220 volts electronics, appliances from the reputable brands of the world. We deliver our products to most part of the globe, including North America Europe and Asia.
The document discusses using whole life insurance policies to build wealth for retirement. It involves financing the premiums with a bank loan, leveraging the dividends paid which have historically averaged 8.25% annually. This allows building up significant cash value within the policy that can be used tax-free in retirement by taking loans against the policy. Sample illustrations show how $10 million policies starting at ages 40-50 can accumulate over $6 million in cash value by retirement age, providing a tax-free pension of $200-376k annually. Risks include needing to repay the bank loan. The strategy aims to provide lifetime benefits, build wealth, and access tax-free retirement funds.
Artyom Makovetskii - An Efficient Algorithm for Total Variation DenoisingAIST
This document summarizes a research paper that analyzes the total variation denoising algorithm. It presents the following key points:
1. The total variation denoising model aims to minimize the sum of a fidelity term measuring noise and a regularization term measuring total variation.
2. The solution space can be reduced from bounded variation functions to piecewise constant functions on a given partition.
3. Explicit solutions are described for small values of the regularization parameter λ using Strong-Chan formulas, and these solutions are used to iteratively reduce the problem size and λ value.
4. The properties of extremal functions are proved, including uniqueness and behavior at discontinuity points depending on the sign of neighboring
Artem Baklanov - Votes Aggregation Techniques in Geo-Wiki Crowdsourcing Game:...AIST
The document describes techniques used to improve the quality of crowdsourced data from the GEO-Wiki project. It discusses preprocessing steps like blur detection, duplicate detection, and vote aggregation algorithms. Blur detection removed 2% of low-quality images, while duplicate detection based on perceptual hashing removed 6% of redundant votes. Benchmarking algorithms on expert-annotated data showed that majority voting performed comparably to more complex algorithms when there were many accurate volunteers and few spammers. Preprocessing improved results by reducing workload and increasing statistical significance.
Kaytoue Mehdi - Finding duplicate labels in behavioral data: an application f...AIST
The document discusses identifying duplicate labels, or aliases, in behavioral data from e-sports games. It presents a method to analyze confusion matrices from predictive models to identify pairs of labels that concentrate confusion, indicating they may belong to the same player using different aliases. The method extracts fuzzy concepts from the confusion matrix and scores candidate pairs based on their cosine similarity to rank and filter the most likely alias pairs. Experimental settings on real e-sports datasets are also discussed.
Sergey Nikolenko and Elena Tutubalina - Constructing Aspect-Based Sentiment ...AIST
The document discusses techniques for constructing aspect-based sentiment lexicons using topic modeling. It presents an overview of sentiment analysis and existing topic modeling approaches for sentiment. The paper proposes a method to extend existing sentiment dictionaries by learning word sentiment priors automatically through an expectation-maximization algorithm applied to sentiment-topic models. Experimental results on a Russian reviews dataset show the approach improves sentiment classification compared to using a manually constructed lexicon alone.
Olga Khomitsevich - Flexible Context Extraction for Keywords in Russian Auto...AIST
The document presents a method for flexible context extraction from keywords in Russian automatic speech recognition results. It describes rules for extracting a context that includes dependent words, clauses, subjects, and other grammatical elements. Experiments show the method achieves better completeness and conciseness than fixed-window approaches. Future work will improve the syntactic parser and test contexts for clustering tasks.
Dmitrii Tihonkih - The Iterative Closest Points Algorithm and Affine Transfo...AIST
This document describes modifications made to the iterative closest point (ICP) algorithm. The authors propose a new matching procedure that uses the angles between line segments connecting points to find initial correspondences. They also formulate the ICP variational problem for an arbitrary affine transformation. A computer simulation applies the standard ICP approach and the authors' algorithm to two point sets related by a known transformation, finding the latter estimates the transformation more accurately.
Nataly Zhukova - Conceptual Model for Routine Measurements Analyses in Seman...AIST
The document presents a conceptual model for processing routine measurements in adaptive intelligent information systems. The model aims to help users solve domain-specific tasks by reducing large amounts of data, linking related pieces of information, and providing machine-based solutions. It is based on the idea that measurements can provide insights into the real world if transformed and analyzed over time. The model represents real-world objects and processes with simpler views and decomposable sub-processes. A case study demonstrates applying the model to process patient measurement data from a medical center over time and link it to medical events and expected outcomes. Future work involves developing a framework for both experts and non-experts to work with the domain models.
Modul Ajar Bahasa Indonesia Kelas 10 Fase E Kurikulum MerdekaFathan Emran
Modul Ajar Bahasa Indonesia Kelas 10 SMA/MA Fase E Kurikulum Merdeka - abdiera.com, Modul Ajar Bahasa Indonesia Kelas 10 SMA/MA Fase E Kurikulum Merdeka, Modul Ajar Bahasa Indonesia Kelas 10 SMA/MA Fase E Kurikulum Merdeka, Modul Ajar Bahasa Indonesia Kelas 10 SMA/MA Fase E Kurikulum Merdeka, Modul Ajar Bahasa Indonesia Kelas 10 SMA/MA Fase E Kurikulum Merdeka, Modul Ajar Bahasa Indonesia Kelas 10 SMA/MA Fase E Kurikulum Merdeka
The document discusses using whole life insurance policies to build wealth for retirement. It involves financing the premiums with a bank loan, leveraging the dividends paid which have historically averaged 8.25% annually. This allows building up significant cash value within the policy that can be used tax-free in retirement by taking loans against the policy. Sample illustrations show how $10 million policies starting at ages 40-50 can accumulate over $6 million in cash value by retirement age, providing a tax-free pension of $200-376k annually. Risks include needing to repay the bank loan. The strategy aims to provide lifetime benefits, build wealth, and access tax-free retirement funds.
Artyom Makovetskii - An Efficient Algorithm for Total Variation DenoisingAIST
This document summarizes a research paper that analyzes the total variation denoising algorithm. It presents the following key points:
1. The total variation denoising model aims to minimize the sum of a fidelity term measuring noise and a regularization term measuring total variation.
2. The solution space can be reduced from bounded variation functions to piecewise constant functions on a given partition.
3. Explicit solutions are described for small values of the regularization parameter λ using Strong-Chan formulas, and these solutions are used to iteratively reduce the problem size and λ value.
4. The properties of extremal functions are proved, including uniqueness and behavior at discontinuity points depending on the sign of neighboring
Artem Baklanov - Votes Aggregation Techniques in Geo-Wiki Crowdsourcing Game:...AIST
The document describes techniques used to improve the quality of crowdsourced data from the GEO-Wiki project. It discusses preprocessing steps like blur detection, duplicate detection, and vote aggregation algorithms. Blur detection removed 2% of low-quality images, while duplicate detection based on perceptual hashing removed 6% of redundant votes. Benchmarking algorithms on expert-annotated data showed that majority voting performed comparably to more complex algorithms when there were many accurate volunteers and few spammers. Preprocessing improved results by reducing workload and increasing statistical significance.
Kaytoue Mehdi - Finding duplicate labels in behavioral data: an application f...AIST
The document discusses identifying duplicate labels, or aliases, in behavioral data from e-sports games. It presents a method to analyze confusion matrices from predictive models to identify pairs of labels that concentrate confusion, indicating they may belong to the same player using different aliases. The method extracts fuzzy concepts from the confusion matrix and scores candidate pairs based on their cosine similarity to rank and filter the most likely alias pairs. Experimental settings on real e-sports datasets are also discussed.
Sergey Nikolenko and Elena Tutubalina - Constructing Aspect-Based Sentiment ...AIST
The document discusses techniques for constructing aspect-based sentiment lexicons using topic modeling. It presents an overview of sentiment analysis and existing topic modeling approaches for sentiment. The paper proposes a method to extend existing sentiment dictionaries by learning word sentiment priors automatically through an expectation-maximization algorithm applied to sentiment-topic models. Experimental results on a Russian reviews dataset show the approach improves sentiment classification compared to using a manually constructed lexicon alone.
Olga Khomitsevich - Flexible Context Extraction for Keywords in Russian Auto...AIST
The document presents a method for flexible context extraction from keywords in Russian automatic speech recognition results. It describes rules for extracting a context that includes dependent words, clauses, subjects, and other grammatical elements. Experiments show the method achieves better completeness and conciseness than fixed-window approaches. Future work will improve the syntactic parser and test contexts for clustering tasks.
Dmitrii Tihonkih - The Iterative Closest Points Algorithm and Affine Transfo...AIST
This document describes modifications made to the iterative closest point (ICP) algorithm. The authors propose a new matching procedure that uses the angles between line segments connecting points to find initial correspondences. They also formulate the ICP variational problem for an arbitrary affine transformation. A computer simulation applies the standard ICP approach and the authors' algorithm to two point sets related by a known transformation, finding the latter estimates the transformation more accurately.
Nataly Zhukova - Conceptual Model for Routine Measurements Analyses in Seman...AIST
The document presents a conceptual model for processing routine measurements in adaptive intelligent information systems. The model aims to help users solve domain-specific tasks by reducing large amounts of data, linking related pieces of information, and providing machine-based solutions. It is based on the idea that measurements can provide insights into the real world if transformed and analyzed over time. The model represents real-world objects and processes with simpler views and decomposable sub-processes. A case study demonstrates applying the model to process patient measurement data from a medical center over time and link it to medical events and expected outcomes. Future work involves developing a framework for both experts and non-experts to work with the domain models.
Modul Ajar Bahasa Indonesia Kelas 10 Fase E Kurikulum MerdekaFathan Emran
Modul Ajar Bahasa Indonesia Kelas 10 SMA/MA Fase E Kurikulum Merdeka - abdiera.com, Modul Ajar Bahasa Indonesia Kelas 10 SMA/MA Fase E Kurikulum Merdeka, Modul Ajar Bahasa Indonesia Kelas 10 SMA/MA Fase E Kurikulum Merdeka, Modul Ajar Bahasa Indonesia Kelas 10 SMA/MA Fase E Kurikulum Merdeka, Modul Ajar Bahasa Indonesia Kelas 10 SMA/MA Fase E Kurikulum Merdeka, Modul Ajar Bahasa Indonesia Kelas 10 SMA/MA Fase E Kurikulum Merdeka
Aksi Nyata Buku Non Teks Bermutu Dan Manfaatnya .pdfDenysErlanders
Buku non teks yang bermutu dapat memperkaya pengalaman
belajar siswa. Buku-buku ini menawarkan konten yang inspiratif,
inovatif, dan mendorong pengembangan karakter siswa.
Pemanfaatan buku non teks bermutu membutuhkan peran aktif
guru untuk memilih dan
mengintegrasikannya ke dalam pembelajaran
Aksi Nyata Buku Non Teks Bermutu Dan Manfaatnya .pdf
Pemograman API
1. LAPORAN
PEMROGRAMAN API
XML dengan PHP-MySQL
Disusun oleh:
Nanang Chaelani
1110651011
PROGRAM STUDI TEKNIK INFORMATIKA
FAKULTAS TEKNIK
UNIVERSITAS MUHAMMADIYAH JEMBER
2014