Academic literature on the topic 'Algoritmo di shor'
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Journal articles on the topic "Algoritmo di shor"
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H, Tubagus Rizal Abdul, Dini Destiani Siti Fatimah, and Rinda Cahyana. "Pengembangan Aplikasi Short Message Service Gateway Dengan Fitur Autoreply Short Message Service Untuk Promosi di Air’s Leather." Jurnal Algoritma 10, no. 2 (September 1, 2013): 187–97. http://dx.doi.org/10.33364/algoritma/v.10-2.187.
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Lamorahan, Christine, Benny Pinontoan, and Nelson Nainggolan. "Data Compression Using Shannon-Fano Algorithm." d'CARTESIAN 2, no. 2 (October 1, 2013): 10. http://dx.doi.org/10.35799/dc.2.2.2013.3207.
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Abstract Communication systems in the world of technology, information and communication are known as data transfer system. Sometimes the information received lost its authenticity, because size of data to be transferred exceeds the capacity of the media used. This problem can be reduced by applying compression process to shrink the size of the data to obtain a smaller size. This study considers compression for data text using Shannon – Fano algorithm and shows how effective these algorithms in compressing it when compared with the Huffman algorithm. This research shows that text data compression using Shannon-Fano algorithm has a same effectiveness with Huffman algorithm when all character in string all repeated and when the statement short and just one character in the statement that repeated, but the Shannon-Fano algorithm more effective then Huffman algorithm when the data has a long statement and data text have more combination character in statement or in string/ word. Keywords: Data compression, Huffman algorithm, Shannon-Fano algorithm Abstrak Sistem komunikasi dalam dunia teknologi informasi dan komunikasi dikenal sebagai sistem transfer data. Informasi yang diterima kadang tidak sesuai dengan aslinya, dan salah satu penyebabnya adalah besarnya ukuran data yang akan ditransfer melebihi kapasitas media yang digunakan. Masalah ini dapat diatasi dengan menerapkan proses kompresi untuk mengecilkan ukuran data yang besar sehingga diperoleh ukuran yang lebih kecil. Penelitian ini menunjukan salah satu kompresi untuk data teks dengan menggunakan algoritma Shannon – Fano serta menunjukan seberapa efektif algoritma tersebut dalam mengkompresi data jika dibandingkan dengan algoritma Huffman. Kompresi untuk data teks dengan algoritma Shannon-Fano menghasilkan suatu data dengan ukuran yang lebih kecil dari data sebelumnya dan perbandingan dengan algoritma Huffman menunjukkan bahwa algoritma Shannon- Fano memiliki keefektifan yang sama dengan algoritma Huffman jika semua karakter yang ada di data berulang dan jika dalam satu kalimat hanya ada satu karakter yang berulang, tapi algoritma Shannon-Fano lebih efektif jika kalimat lebih panjang dan jumlah karakter di dalam kalimat atau kata lebih banyak dan beragam. Kata kunci: Algoritma Huffman, Algoritma Shannon-Fano, Kompresi data
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Mulyani, Isnawati, Eri Satria, and Asep Deddy Supriatna. "Pengembangan Short Message Service (SMS) Gateway Layanan Informasi Akademik di SMK YPPT Garut." Jurnal Algoritma 9, no. 2 (September 1, 2012): 389–97. http://dx.doi.org/10.33364/algoritma/v.9-2.389.
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Margolang, Yustika, Fauriatun Helmiah, and Mardalius Mardalius. "Analisa Algoritma Apriori dengan Association Rule Untuk Rekomendasi Promosi Produk Elektronik Di Toko UD Surya Kisaran." J-Com (Journal of Computer) 1, no. 2 (July 31, 2021): 89–94. http://dx.doi.org/10.33330/j-com.v2i1.1190.
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Abstract: Data Mining is a term used to describe the processes in each itemset to be able to find the results of each item. Analysis is used to determine the promotion of electronic products, namely the a priori algorithm association rules, therefore UD Surya Elektronik Shop for increasing sales results must have other strategies to be able to improve the sales system. One way is to determine the goods to be promoted to consumers. The collection of sales data that is owned can actually be processed using data mining to see customer buying patterns, with data mining for large data it will not be wasted and can be useful so that it can provide benefits to the company. In this study, the data processing uses the Apriori Algorithm, which is a data mining method that aims to find association patterns based on purchasing patterns made by consumers, so that it can be seen which items are often purchased simultaneously. Kata Kunci : Data Mining, Apriori Algorithms, Product Promotion Abstrak: Data Mining adalah suatu istilah yang digunakan untuk menguraikan proses-proses di setiap itemset untuk dapat menemukan hasil setiap item-item nya, Analisa yang digunakan untuk menentukan promosi produk-produk elektronik yaitu dengan aturan asosiasi algoritma apriori, oleh karena itu Toko UD Surya Elektronik untuk meningkatkan hasil penjualan maka harus memiliki strategi lain untuk dapat meningkatkan sistem penjualannya. Salah satunya adalah dengan menentukan barang yang akan dipromosikan kepada konsumen. Kumpulan data penjualan yang dimiliki sebenarnya dapat diolah menggunakan data mining untuk melihat pola pembelian pelanggan, dengan data mining untuk data yang besar tidak akan terbuang begitu saja dan dapat bermanfaat sehingga dapat memberikan keuntungan kepada perusahaan. Pada penelitian ini, proses pengolahan data menggunakan Algoritma Apriori yang merupakan salah satu metode data mining yang bertujuan untuk mencari pola assosiasi berdasarkan pola pembelian yang dilakukan oleh konsumen, sehingga bisa diketahui item-item barang apa saja yang sering dibeli secara bersamaan. Kata Kunci : Data Mining, Algoritma Apriori, Promosi Produk.
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Park, Chan Yik. "Damage Index Comparison for a Composite Stiffened Panel Using Lamb Wave." Advanced Materials Research 26-28 (October 2007): 1265–68. http://dx.doi.org/10.4028/www.scientific.net/amr.26-28.1265.
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Various damage index (DI) algorithms of detecting changes such as a loosen bolt and a delamination development in a composite structure were examined using ultrasonic Lamb waves generated by embedded piezoelectric active sensors. The DI is a single value that is a function of response signal’s attenuation due to any damage or changes in a structure. Various DI algorithms such as active damage interrogation (ADI), time domain root men square (RMS), short time Fourier Transform (STFT) and time reversal (TR) were discussed. For experimental validation, a composite stiffened panel was used, and loosen bolt damage and low-velocity- impact damage were tested. In order to pitch and catch Lamb waves, surface mounted PZTs (lead zirconate titanate) were used. According to the DI algorithms, appropriate ultrasonic guided Lamb waves were selected for actuators. Each set of DI algorithm and drive signal showed different characteristics to detect the damage.
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Pratama, Loviga Denny, and Wahyu Setyaningrum. "Algoritma berhitung Blija ̂h pada masyarat Madura di Kabupaten Probolinggo: Alternatif pendekatan pembelajaran operasi bilangan." Pythagoras: Jurnal Pendidikan Matematika 13, no. 2 (December 14, 2018): 203–13. http://dx.doi.org/10.21831/pg.v13i2.15931.
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Studi ini bertujuan untuk mendeskripsikan algoritma berhitung pada transaksi jual-beli yang dilakukan Blijh (penjual sayur tradisional) dalam masyarakat Madura di Kabupaten Probolinggo, Indonesia. Studi ini merupakan studi kualitatif dengan pendekatan studi kasus. Data dikumpulkan dengan teknik observasi dan wawancara. Sumber data adalah 8 orang Blijh yang tinggal di Kecamatan Paiton, Kabupaten Probolinggo, Indonesia. Analisis data dilakukan dengan menggunakan model Miles & Huberman, dengan tahapan analisis meliputi reduksi data, penyajia datam dan penyimpulan. Data yang diperoleh berupa data kualitatif yang menggambarkan beberapa algoritma berhitung yang terdiri dari penjumlahan, pengurangan, perkalian dan pembagian. Adapun dalam artikel ini akan fokus pada algoritma penjumlahan dan pengurangan. Hasil studi menunjukkan bahwa (1) algoritma berhitung penjumlahan dan pengurangan yang dilakukan oleh Blijh berbeda dengan algoritma yang diajarkan di sekolah; (2) dalam melakukan operasi penjumlahan dan pengurangan, cara yang berbeda yang digunakan oleh Blijh yaitu dengan menggenapkan bilangan pertama ke bilangan puluhan diatasnya, berbeda dengan cara yang diajarkan di sekolah, dimana cara yang digunakan yaitu cara bersusun panjang dan bersusun pendek. Hasil penelitian ini diharapkan dapat memberikan inspirasi dan alternatif dalam pembelajaran berhitung di kelas.Kata kunci: algoritma berhitung, Blijh, operasi bilangan, pendekatan pembelajaran Blijh’s arithmetic algorithm on Madurese society in Probolinggo Regency:An alternative approach in learning number operation AbstractThe aim of this study was to describe arithmetic algorithm on transaction employed by Blijh (traditional vegetables seller) in Madurese community at Probolinggo regency, Indonesia. The study was a qualitative approach by means of case study. The data were gathered through observation and interviews. The partisipants of this study were 8 Blijh living in Paiton, Probolinggo regency, Indonesia. The data were analyzed using Miles & Huberman model, with analysis step consisting of data reduction, data display, and conclusion. The results of this study obtained some arithmatics algorithm of addition, subtraction, multipication, and division. This paper, however, will only focus on addition and subtraction algorithm. The data reveals that (1) arithmatic algorithm of addition and substraction which used by Blijh was different from the one taught at school; (2) In performing addition and substraction operations, the different method which used by Blijh namely replace the first number to tens above it, while the method that taught at school was using long and short-stacke method. The results of this study could be used as one of teaching and learning approach to develop numerical and mental calculation skills.
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Samosir, Hernita, Muhammad Amin, and Indra Ramadona Harahap. "Penerapan Data Mining untuk Klasifikasi Produk Merk Bata Menggunakan Algoritma K-Means." JUTSI (Jurnal Teknologi dan Sistem Informasi) 2, no. 1 (June 19, 2021): 161–66. http://dx.doi.org/10.33330/jutsi.v2i1.1163.
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Abstract: Tanjungbalai Bata Store is a store that is engaged in the business of selling products and every day processes purchase data, sales data and transaction data. Transaction data is the result of sales that can be obtained so that store management knows the strategies that will be carried out to increase sales results. As for consumers who make transactions at stores for a separate reason, especially because of the completeness and many models that can be obtained from the Tanjungbalai brick shop, another reason is that the Tanjungbalai Brick Shop can provide a sense of comfort and peace in addition and the cleanliness seen from the store . There are many types of products sold at the Tanjungbalai Brick Shop. However, Tanjungbalai Brick Shop cannot classify products that are selling well and those that are not selling well. So that the difficulties experienced are the frequent shortage of stock of products that sell well because sales are high and the accumulation of products that are not selling well in the warehouse because the sellers are low. Based on the problems above, data mining is needed to classify which products are in demand and which are not. Data mining and k-means methods can help in this research combined with the PHP programming language and MySQL database. Keywords:Data Mining; Product Classification; K-Means Algorithm. Abstrak:Toko Bata Tanjungbalai adalah toko yang bergerak di bidang bisnis penjulalan produk dan setiap harinya melalukan proses data pembelian, data penjualan maupun data transaksi. Data transaksi merupakan hasil penjualan yang di dapat agar manajemen toko mengetahui strategi yang akan di lakukan untuk meningkatkan hasil penjualan. Adapun konsumen yang melakukan transaksi di toko memiliki alas an tersendiri ataupun di karenakan kelengkapan dan banyak model yang bisa di dapatkan dari toko bata tanjungbalai, alasan yang lain adalah Toko Bata Tanjungbalai dapat memberikan rasa nyamandan tentram di tambah lagi keramahan dan kebersihan yang di lihat dari toko tersebut. Ada banyak jenis produk yang terjual di Toko Bata Tanjungbalai, namun toko bata Tanjungbalai tidaklah mampu dalam membagikan kelompok produk tersebut masuk kategori laris dan tidak laris. Sehingga kesulitan yang dialami yaitu seringnya kekurangan stok produk yang laku karena penjualannya tinggi dan menumpuknya produk yang tidak laris di gudang karena penjualnnya rendah. Berdasarkan permasalahan di atas maka dibutuhkan data mining untuk mengelompokkan produk mana saja yang laris dan tidak. Data mining dan metode k-meansdapat membantu dalam penelitian ini dipadukan dengan pemrograman PHP dan MySQL. Kata Kunci :Data Mining; Klasifikasi Produk; Algoritma K-Means.
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Nurdiansyah, Rudi. "Optimasi Penjadwalan Flow Shop Menggunakan Algoritma Hybrid Differential Evolution." Rekayasa Energi Manufaktur 1, no. 2 (April 11, 2017): 43. http://dx.doi.org/10.21070/r.e.m.v1i2.404.
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Penjadwalan produksi merupakan bagian integral di dalam sistem manufaktur. Artikel ini menyelesaikan permasalahan penjadwalan flow shop dengan fungsi obyektif total flow time. Dalam penjadwalan, total flow time menghasilkan konsumsi yang stabil terhadap sumber daya, perputaran job yang cepat serta meminimalkan work in process inventory. Permasalahan penjadwalan flow shop tergolong pada permasalahan optimasi kombinatorial yang merupakan NP-hard. Saat ini, penggunaan algoritma metaheuristik banyak digunakan untuk memecahkan kasus optimasi kombinatorial, termasuk penjadwalan flow shop. Salah satu yang memiliki performa yang baik adalah Algoritma Differential Evolution. Untuk meningkatkan kualitas solusinya, Algoritma Differential Evolution akan ditambahkan dengan prosedur local search yang dinamakan Hybrid Differential Evolution. Untuk mengetahui performa dari algoritma tersebut, dilakukan pengujian menggunakan data penjadwalan flow shop yang ada pada OR-Library. Performa Hybrid Differential Evolution akan dibandingkan dengan algoritma lain. Hasil pengujian menunjukkan bahwa Hybrid Differential Evolution memberikan performa yang lebih baik dibandingkan dengan algoritma lain.
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Hoeller, Frank. "LEO: Liquid Exploration Online." International Journal of Robotic Computing 2, no. 1 (April 1, 2020): 58–80. http://dx.doi.org/10.35708/rc1869-126259.
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This article introduces a novel approach to the online complete- coverage path planning (CCPP) problem that is specically tailored to the needs of skid-steer tracked robots. In contrast to most of the current state-of-the-art algorithms for this task, the proposed algorithm reduces the number of turning maneuvers, which are responsible for a large part of the robot's energy consumption. Nevertheless, the approach still keeps the total distance traveled at a competitive level. The algorithm operates on a grid-based environment representation and uses a 3x3 prioritization matrix for local navigation decisions. This matrix prioritizes cardinal di- rections leading to a preference for straight motions. In case no progress can be achieved based on a local decision, global path planning is used to choose a path to the closest known unvisited cell, thereby guaranteeing completeness of the approach. In an extensive evaluation using simulation experiments, we show that the new algorithm indeed generates competi- tively short paths with largely reduced turning costs, compared to other state-of-the-art CCPP algorithms. We also illustrate its performance on a real robot.
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Arfan, Adhib, and Lussiana ETP. "Perbandingan Algoritma Long Short-Term Memory dengan SVR Pada Prediksi Harga Saham di Indonesia." PETIR 13, no. 1 (March 21, 2020): 33–43. http://dx.doi.org/10.33322/petir.v13i1.858.
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Banyak investor masih ragu dengan risiko dalam berinvestasi, hal ini disebabkan oleh fluktuasi indeks harga saham dalam waktu singkat. Telah banyak dikembangkan metode untuk memperkirakan harga saham yang akan datang namun masih memiliki keterbatasan di antaranya adalah ketergantungan jangka panjang. Tujuan penelitian yang ingin dicapai adalah menghasilkan model peramalan harga saham yang lebih efektif dan memberikan hasil yang akurat. Tahapan yang dilakukan terdiri dari pengumpulan data, preprocessing data, pembagian data, perancangan LSTM, pelatihan LSTM dan melakukan pengujian. Berdasarkan hasil pengujian, LTSM mampu memprediksi harga saham pada tahun 2017-2019 dengan performa yang baik dan tingkat kesalahan yang relatif kecil. Sedangkan pengujian menggunakan metode Support Vector Regression (SVR), LSTM memiliki nilai loss lebih baik dari algoritma SRV. Rentang data pada LSTM mempengaruhi waktu latih yang digunakan, semakin besar rentang data maka semakin lama waktu latih yang digunakan. Rentang data pada SVR mempengaruhi nilai loss, semakin besar rentang data maka semakin besar nilai loss yang dihasilkan. Dengan demikian dapat disimpulkan bahwa LSTM mampu menanggulangi ketergantungan jangka panjang dan mampu memprediksi harga saham dengan hasil yang akurat.
Dissertations / Theses on the topic "Algoritmo di shor"
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Bandini, Michele. "Crittografia quantistica e algoritmo di Shor." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2018. http://amslaurea.unibo.it/17073/.
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In questo elaborato si cerca di dare un'idea di come funzioni un computer quantistico, portando come esempio l'Algoritmo di Shor per la fattorizzazione: si cerca di chiarirne la matematica e la fisica che vi stanno dietro e l'importanza applicativa e storica che ha avuto. Brevi cenni sull'odierna tecnologia dei calcolatori quantistici.
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Gatti, Lorenzo. "Algoritmi quantistici e classi di complessità." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2015. http://amslaurea.unibo.it/9128/.
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Solitamente il concetto di difficoltà è piuttosto soggettivo, ma per un matematico questa parola ha un significato diverso: anche con l’aiuto dei più potenti computer può essere impossibile trovare la soluzione di un sudoku, risolvere l’enigma del commesso viaggiatore o scomporre un numero nei suoi fattori primi; in questo senso le classi di complessità computazionale quantificano il concetto di difficoltà secondo le leggi dell’informatica classica. Una macchina quantistica, però, non segue le leggi classiche e costituisce un nuovo punto di vista in una frontiera della ricerca legata alla risoluzione dei celebri problemi del millennio: gli algoritmi quantistici implementano le proprietà straordinarie e misteriose della teoria dei quanti che, quando applicate lucidamente, danno luogo a risultati sorprendenti.
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Fanti, Gioele. "Algoritmo di schedulazione per il problema di Job-Shop." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2020. http://amslaurea.unibo.it/22178/.
Full textBook chapters on the topic "Algoritmo di shor"
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D’Aubeterre, Fergle, Lakshmi S. Iyer, Richard Ehrhardt, and Rahul Singh. "Discovery Process in a B2B eMarketplace." In Intelligent, Adaptive and Reasoning Technologies, 80–103. IGI Global, 2011. http://dx.doi.org/10.4018/978-1-60960-595-7.ch005.
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In the context of a customer-oriented value chain, companies must effectively address customers changing information needs during the process of acquiring a product or service to remain competitive. The ultimate goal of semantic matchmaking is to identify the best resources (supply) that fully meet the requirements (demand); however, such a goal is very difficult to achieve due to information distributed over disparate systems. To alleviate this problem in the context of eMarketplaces, the authors suggest an agent-enabled infomediary-based eMarketplace that enables semantic matchmaking. They extend and apply the exact, partial, and potential match algorithms developed in Di Noia et al. (2004) to show how partial and potential matches can become full matches. Specifically, the authors show how multi-criteria decision making techniques can be utilized to rank matches. They describe mechanisms for knowledge representation and exchange to allow partner organizations to seamlessly share information and knowledge to facilitate the discovery process in an eMarketplace context.
Conference papers on the topic "Algoritmo di shor"
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Yang, Yang, Rahul Mitchell Jairaj, Gaoyan Wang, Tzuen-Rong Tzeng, Xiangchun Xuan, Kama Huang, and Pingshan Wang. "Broadband Dielectric Properties Characterization of Biological Cells." In ASME 2009 Second International Conference on Micro/Nanoscale Heat and Mass Transfer. ASMEDC, 2009. http://dx.doi.org/10.1115/mnhmt2009-18508.
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A broadband characterization method for complex permittivity measurements of biological cells is presented. An algorithm for extracting permittivity of biological cells from the measured cell suspension scattering parameters is described. A coplanar wave guide (CPW) based device is fabricated and tested. DI water measurement results show good agreement with theoretical values. Yeast cell suspensions are characterized. Complex permittivity of yeast strains is extracted over the frequency range from 30 kHz to 30 GHz.
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Yoo, Byungseok, and Ashish Purekar. "Corrosion Damage Monitoring Using Guided Lamb Waves." In ASME 2012 Conference on Smart Materials, Adaptive Structures and Intelligent Systems. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/smasis2012-8055.
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In this paper, a Guided Lamb Wave (GLW) technique using piezoelectric transducers is presented to detect and monitor corrosion damage in an aluminum panel. An electro-chemical etching method was applied to simulate corrosion damage in the test article. A signal processing approach using time-based analysis was demonstrated to measure amplitude change and phase shift of GLW signals captured in the aluminum specimen. Damage Index (DI) for each sensor network was calculated based on the time-domain signal processing method. From the DI information, damage profile maps were produced by using a tomographic algorithm. Corrosion damage location and its size were identified from an integrated damage profile map. The severity of the corrosion damage was examined based on the phase shift of a fundamental anti-symmetric mode (A0) in the GLW signals. The experimental results show the capability of the proposed corrosion monitoring technique based on the GLW approach.