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Abstrak :
This volume presents the locality-sensitive approach to distributed network algorithms-the utilization of locality to simplify control structures and algorithms and reduce their costs. The author begins with an introductory exposition of distributed network algorithms focusing on topics that illustrate the role of locality in distributed algorithmic techniques. He then introduces locality-preserving network representations and describes sequential and distributed techniques for their construction. Finally, the applicability of the locality-sensitive approach is demonstrated through several applications. Distributed Computing: A Locality-Sensitive Approach is the only book that gives a thorough exposition of network spanners and other locality-preserving network representations such as sparse covers and partitions. The book is useful for computer scientists interested in distributed computing, electrical engineers interested in network architectures and protocols, and for discrete mathematicians and graph theorists.

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Tesis ini membahas mengenai dampak variabel makroekonomi dan mikroekonomi yang mempengaruhi perkembangan NPF perbankan syariah di Indonesia. Variabel makroekonomi yang dianalisis dalam penelitian ini adalah GDP riil, Indeks Harga Konsumen (CPI), Sertifikat Bank Indonesia (SBI), dan base money (MO). Sedangkan variabel mikroekonomi yang dianalisis dalam penelitian ini adalah Financing to Deposit Ratio (FDR) dan total aset perbankan syariah (SIZE). Penelitian ini menggunakan metode ARDL (Autoregressive Distributed Lag). Adapun hasil dari penelitian ini menyatakan bahwa semua variabel makroekonomi dan mikroekonomi cukup mempengaruhi perkembangan NPF. Namun GDP berperan penting terhadap perkembangan NPF perbankan syariah karena berpengaruh terhadap sector riil yang biasanya menjadi fokus perbankan syariah.

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Questions about stability arise in almost every control problem. There are many physical problems in which exponential stability is too strong and for which the concept of strong stability is appropriate. This book provides a solid mathematical framework for a structured approach to strongly stabilizable systems through integration of fundamental theory, physical applications, and numerical results. The author includes a mathematical framework for studying PDE models of large flexible structures, an important class of applications. The author's structured approach focuses on two themes: the development of system theoretic results for strongly stable systems, and the formulation of these results for a class of dissipative systems with collocated actuators and sensors. The tools set forth in this book extend the scope of applicability of PDE control techniques, including the important aspect of numerical approximation. Most importantly, the author justifies all theory by providing physical examples for which the theory is relevant. The book encompasses basic system theoretic notions, such as stability, stabilizability, detectability, coprime factorizations, and control related topics like Riccati equations, LQ optimal control, robust stabilization, nonlinear perturbations, and numerical approximation.

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Research Directions in Distributed Parameter Systems is composed of eleven chapters, written by experts in their respective fields, on topics ranging from control of the Navier-Stokes equations to nondestructive evaluation all of which are modeled by distributed parameters systems. Written by the plenary speakers for the Conference on Future Directions in Distributed Parameter Systems (October 2000), the volume addresses the state of the art, open questions, and important research directions in applications modeled by partial differential equations and delay systems, with the ultimate goal of passing along these perspectives to researchers in the field. This book compiles a broad range of material, much of which is available only in research journals. Its goal is to disseminate to the research community the perspectives and challenges posed for a variety of current research applications. Topics include electromagnetic theory for dielectric and conductive materials, flow control, cardiovascular and respiratory models, homogenization and systems theory, optimal and geometric control, reduced-order models for large-scale systems, smart materials, and nondestructive evaluation and structural health monitoring for systems, including nuclear power plants. A unifying theme throughout the book focuses on the necessity of considering model development, numerical approximation, parameter estimation through inverse problem techniques, and control design in concert to achieve the stringent design criteria dictated by present applications.

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This book includes high-quality, peer-reviewed papers from the International Conference on Recent Advancement in Computer, Communication and Computational Sciences (RACCCS-2018), held at Aryabhatta College of Engineering & Research Center, Ajmer, India on August 10-11, 2018, presenting the latest developments and technical solutions in computational sciences. Networking and communication are the backbone of data science, data- and knowledge engineering, which have a wide scope for implementation in engineering sciences. This book offers insights that reflect the advances in these fields from upcoming researchers and leading academicians across the globe. Covering a variety of topics, such as intelligent hardware and software design, advanced communications, intelligent computing technologies, advanced software engineering, the web and informatics, and intelligent image processing, it helps those in the computer industry and academia use the advances in next-generation communication and computational technology to shape real-world applications.

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Dalam sistem basis data terdistribusi, replikasi dilakukan untuk tujuan meningkatkan ketersediaan data yakni mengatasi masalah kegagalan data pada beberapa site serta ' memperbaiki kinerja sistem dengan melibatkan replika seminimal mungkin dalam setiap transaksi.

Penelitian ini bertujuan membuat suatu algoritma yang mempunyai kinerja lebih baik dibandingkan dengan algoritma-algoritma berbasis Konsensus Kuorum dan algoritma ini mempunyai kinerja yang lebih baik untuk transaksi-transaksi tertentu dibandingkan dengan algoritma Read One Write All. Algoritma ini dibuat dengan asumsi kebaruan data tidaklah menjadi prasyarat.

Penelitian ini menghasilkan algoritma Penghitungan Konsistensi yang transaksi tulisnya cukup melibatkan sejumlah kuorum tulis replika dan transaksi bacanya cukup melibatkan sebuah replika pertama dari pasangan partisi data yang saling konsisten. Pembuktian terhadap algoritma Penghitungan Konsistensi dilakukan secara induksi. Untuk melihat kinerja algoritma ini, dibuat suatu program simulasi yang membandingkan ketiga algoritma: Penghitungan Konsistensi, Konsensus Kuorum dan Read One Write All.

Simulasi dilakukan dengan mengeksekusi ketiga algoritma terhadap transaksi-transaksi yang jenisnya bervariasi. Dari hasil simulasi ini, lama waktu komputasi konsistensi menunjukkan bahwa algoritma Penghitungan Konsistensi umumnya lebih baik daripada kedua algoritma lainnya; kecuali bila persentase transaksi baca tinggi sekali (di atas 78% transaksi baca), maka algoritma Read One Write All lebih baik. Jumlah replika yang terlibat transaksi menunjukkan bahwa algoritma Penghitungan Konsistensi umumnya lebih baik dibandingkan kedua algoritma lainnya (sekitar 85% bare tersusul oleh algoritma Read One Write All).

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Tujuan utama tesis ini adalah untuk melakukan analisis pengaruh risiko likuiditas terhadap profitabilitas dan menjelaskan pengaruh tersebut. Pemodelan yang digunakan untuk mencapai tujuan tersebut adalah model regresi, khususnya model regresi yang memperhitungkan pengaruh waktu (dummy musiman dan distributed-lag). Variabel-variabel bebas yang diteliti adalah (1) rasio LTA (liquid assets to total assets), (2) rasio LAD (liquid assets to deposits), dan (3) rasio FDR (financing to deposits ratio). Seluruh variabel bebas merupakan variabel lag (memperhitungkan selang waktu). Sedangkan variabel terikat yang diteliti dalam empat model terpisah adalah (1) rasio ROA (return on assets) dan (2) rasio ROE (return on equity). Hasil penelitian ini menunjukkan : (l) dengan uji kausalitas Granger disimpulkan bahwa hanya rasio LTA yang menyebabkan profitabilitas (ROA dan ROE) dengan jumlah lag berbeda, (2) pengaruh variabel bebas terhadap variabel terikat adalah signifikan dalam model distributed lag, dan (3) variabel musiman juga memberikan pengaruh positif signifikan terhadap model.

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The purpose of this thesis mainly is to analyze the effect of liquidity risk to profitability and to explain this effect. The model applied to achieve this purpose is a regression model, especially regression model using seasonal dummy and distributed-lag approach. The independent variables are (1) LTA (ratio of liquid assets to total assets), (2) LAD (ratio of liquid assets to deposits), and (3) FDR (ratio of financing to deposits). All of the independent variables are treated as lag variables. The dependent variables applied in four models are (1) ratio of ROA (return on assets) and (2) ratio of ROE (return on equity). The results shows : (1) with Granger Causality Test it is concluded that only LTA causes the profitability (ROA and ROE) in different lags, (2) the effect of independent variables to dependent variable are significant in distributed-lag model, and (3) the seasonal dummy variables also positively have significant effects to the model.