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Because of the importance of object oriented methodologies, the research in developing new measure for object oriented system development is getting increased focus. The most of the metrics need to find the interactions between the objects…

Software Engineering · Computer Science 2010-08-11 K. M. Azharul Hasan , Mohammad Sabbir Hasan

Because of the importance of object oriented methodologies, the research in developing new measure for object oriented system development is getting increased focus. The most of the metrics need to find the interactions between the objects…

Software Engineering · Computer Science 2010-07-15 K. M. Azharul Hasan , Mohammad Sabbir Hasan

Data quality is an important consideration in many engineering applications and projects. Data collection procedures do not always involve careful utilization of the most precise instruments and strictest protocols. As a consequence, data…

Methodology · Statistics 2023-03-02 Krasymyr Tretiak , Scott Ferson

Tiny object detection has become an active area of research because images with tiny targets are common in several important real-world scenarios. However, existing tiny object detection methods use standard deep neural networks as their…

Computer Vision and Pattern Recognition · Computer Science 2023-03-21 Jinlai Ning , Haoyan Guan , Michael Spratling

Object-oriented Application Programing Interfaces (APIs) support software reuse by providing pre-implemented functionalities. Due to the huge number of included classes, reusing and understanding large APIs is a complex task. Otherwise,…

Software Engineering · Computer Science 2016-06-03 Anas Shatnawi , Abdelhak Seriai , Houari Sahraoui , Zakarea Al-Shara

Providing architectural support is crucial for newly arising applications to achieve high performance and high system efficiency. Currently there is a trend in designing accelerators for special applications, while arguably a debate is…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-11-04 Yuhang Liu , Luming Wang , Xiang Li , Yang Wang , Mingyu Chen , Yungang Bao

Object-oriented programming languages such as Java and Objective C have become popular for implementing agent-based and other object-based simulations since objects in those languages can {\em reflect} (i.e. make runtime queries of an…

Programming Languages · Computer Science 2007-05-23 Duraid Madina , Russell K. Standish

Efficient custom pooling techniques that can aggressively trim the dimensions of a feature map and thereby reduce inference compute and memory footprint for resource-constrained computer vision applications have recently gained significant…

Computer Vision and Pattern Recognition · Computer Science 2023-01-02 Fang Chen , Gourav Datta , Souvik Kundu , Peter Beerel

Context: Dependency Injection (DI) is a commonly applied mechanism to decouple classes from their dependencies in order to provide higher modularization. However, bad DI practices often lead to negative consequences, such as increasing…

Software Engineering · Computer Science 2021-10-19 Rodrigo Laigner , Diogo Mendonça , Alessandro Garcia , Marcos Kalinowski

The article investigates the relationship between time complexity and energy consumption in sorting algorithms, focusing on commonly-used algorithms implemented in Java: Bubble Sort, Counting Sort, Merge Sort, and Quick Sort. The…

Software Engineering · Computer Science 2024-05-09 Kristina Carter , Su Mei Gwen Ho , Mathias Marquar Arhipenko Larsen , Martin Sundman , Maja H. Kirkeby

Current HPC systems provide memory resources that are statically configured and tightly coupled with compute nodes. However, workloads on HPC systems are evolving. Diverse workloads lead to a need for configurable memory resources to…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-03-23 Jacob Wahlgren , Maya Gokhale , Ivy B. Peng

The social and economic importance of large bodies of programs and data that are potentially long-lived has attracted much attention in the commercial and research communities. Here we concentrate on a set of methodologies and technologies…

Programming Languages · Computer Science 2010-06-18 Alan Dearle , Graham Kirby , Ron Morrison

As computational paradigms evolve, applications such as attention-based models, wireless telecommunications, and computer vision impose increasingly challenging requirements on computer architectures: significant memory footprints and…

Hardware Architecture · Computer Science 2025-04-08 Sergio Mazzola , Yichao Zhang , Marco Bertuletti , Diyou Shen , Luca Benini

Bounded-memory computability continues to be in the focus of those areas of AI and databases that deal with feasible computations over streams---be it feasible arithmetical calculations on low-level streams or feasible query answering for…

Databases · Computer Science 2020-08-03 Simon Schiff , Özgür Özcep

Pattern languages are well-established in the software architecture community. Many different aspects of creating a software architecture are addressed by such languages. Thus, several pattern languages have to be considered when building a…

Software Engineering · Computer Science 2021-04-21 Frank Leymann , Johanna Barzen

Near-Data Processing refers to an architectural hardware and software paradigm, based on the co-location of storage and compute units. Ideally, it will allow to execute application-defined data- or compute-intensive operations in-situ, i.e.…

Databases · Computer Science 2019-05-14 Tobias Vincon , Andreas Koch , Ilia Petrov

Caching systems using the Least Recently Used (LRU) principle have now become ubiquitous. A fundamental question for these systems is whether the cache space should be pooled together or divided to serve multiple flows of data item requests…

Performance · Computer Science 2017-08-08 Jian Tan , Guocong Quan , Kaiyi Ji , Ness Shroff

The persistent programming systems of the 1980s offered a programming model that integrated computation and long-term storage. In these systems, reliable applications could be engineered without requiring the programmer to write translation…

Distributed, Parallel, and Cluster Computing · Computer Science 2010-06-21 Alan Dearle , Graham Kirby , Stuart Norcross , Andrew McCarthy

Current wisdom suggests more labeled image data is always better, and obtaining labels is the bottleneck. Yet curating a pool of sufficiently diverse and informative images is itself a challenge. In particular, training image curation is…

Computer Vision and Pattern Recognition · Computer Science 2019-01-10 Aron Yu , Kristen Grauman

At the allocation and deallocation of small objects with fixed size, the standard allocator of the runtime system has commonly a worse time performance compared to allocators adapted for a special application field. We propose a memory…

Programming Languages · Computer Science 2016-11-09 Christian Schuessler , Roland Gruber