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关键词： Students  

摘要： We have been training spatial skills for Computing Science students over several years with positive results, both in terms of the students' spatial skills and their CS outcomes. Te delivery and structure of the training has been modifed over time and carried out at several institutions, resulting in variations across each intervention. Tis article describes six distinct case studies of training deliveries, highlighting the main challenges faced and some important takeaways. Our goal is to provide useful guidance based on our varied experience for any practitioner considering the adoption of spatial skills training for their students. © 2021 ACM.

关键词： Computer Science   general   Software Engineering/Programming and Operating Systems   Operating Systems   Software Engineering   Artificial Intelligence  

摘要： A one-pass rendering scheme of 3D dynamic scenes using modern graphics processing units (GPUs) and graphical interfaces is considered. This scheme uses the following methods and techniques: frustum culling, hardware occlusion queries, fragmentation, and caching of command buffers. These methods require significant computational resources, and the amount of work on the stages of graphics pipeline depends on their results. For efficient rendering, the balanced use of resources during the pipelined processing and transferring graphics data is important. A performance model of the graphics pipeline as applied to rendering 3D dynamic scenes that makes it possible to estimate the required resources, depending on the selected base methods and characteristics of the scene being rendered is proposed. In distinction from the existing methods and models, the proposed model allows one to calculate the cost of composing command buffers using various recording techniques, calculate the cost of transferring, executing, and loading the results of hardware occlusion queries. Formulas for calculating the frame rendering time depending on the number of occlusion queries are derived. A method for estimating the number of hardware occlusion queries needed for efficient rendering of dynamic scenes is proposed. Computational experiments demonstrating the relevance of the proposed model and the efficiency of the developed method for rendering large dynamic scenes are carried out.

关键词： Computer Science   general   Software Engineering/Programming and Operating Systems   Operating Systems   Software Engineering   Artificial Intelligence  

摘要： The paper discusses optimization issues of training Artificial Neural Networks (ANNs) using a nonlinear trigonometric polynomial function. The proposed method presents the mathematical model of an ANN as an information transmission system where effective techniques to restore signals are widely used. To optimize ANN training, we use energy characteristics assuming ANNs as data transmission systems. We propose a nonlinear layer in the form of a trigonometric polynomial that approximates the "syncular" function based on the generalized approximation theorem and the wave model. To confirm the theoretical results, the efficiency of the proposed approach is compared with standard ANN implementations with sigmoid and Rectified Linear Unit (ReLU) activation functions. The experimental evaluation shows the same accuracy of standard ANNs with a time reduction of the training phase of supervised learning for the proposed model.

关键词： Artificial Intelligence   Computer Science   general   Engineering Economics   Organization   Logistics   Marketing   Control   Robotics   Mechatronics   Performing Arts   Methodology of the Social Sciences  

关键词： Programming Languages   Compilers   Interpreters   Processor Architectures   Computer Science   general  

摘要： A machine-based intrusion sensing system has become an essential component in network safeguarding and information security due to the regular development of large volumes of data and the increasing interconnection among global Internet infrastructures. Previous shallow learning and deep learning techniques follow a similar model learning approach to intrusion detection. To explain the increasingly complex data delivery intrusion patterns, a single learning model methodology can face problems. Specifically, a single deep learning model cannot capture special patterns in intrusive attacks with a few experiments. We propose a hierarchical deep learning system based on big data to further boost the efficiency of IDS-based machine learning. It uses behavioral and content-functional functionality to capture both network traffic and content details. Each deep learning model in the proposed framework focuses on learning the particular data distribution in a single cluster. Compared to previous single learning models, this technique improves the classification rate of disruptive attacks. The model building time of the system is reduced considerably when several devices are implemented.

关键词： Computer Science   general   Software Engineering/Programming and Operating Systems   Operating Systems   Software Engineering   Artificial Intelligence  

摘要： In the biomedical domain, diagrammatical models have been extensively used to describe and understand the behaviour of biological organisms (biological agents) for decades. Although these models are simple and comprehensive, they can only offer a static picture of the corresponding biological systems with limited scalability. As a result, there is an increasing demand to integrate formalism into more dynamic forms that can be more scalable and can capture complex time-dependent processes. Stream X-Machine (SXM) is such a powerful formal method with a memory (data) structure and function-labelled transitions. One of the main strengths of the SXM is its associated testing strategy which ensures that, under well-defined conditions, all functional inconsistencies between the system under test and the model are revealed. In this paper, we adopt the concept of SXM to develop a tool known as T-SXM, which has the capabilities of modelling real world problems and generating test cases automatically based on the state-counting approach. The Type II diabetes case study has been used to demonstrate the abilities of the proposed tool.

关键词： Pattern matching   Hardware   Optimization   IP networks   IEEE transactions   Computer science   Throughput   Ternary rule   cache   TCAM   forwarding  

摘要： Ternary Content Addressable Memory (TCAM) is widely used by modern routers and switches to support policy-based forwarding due to its incomparable lookup speed and flexible matching patterns. However, the limited TCAM capacity does not scale with the ever-increasing rule table size due to the high hardware cost and high power consumption. At present, using TCAM just as a rule cache is an appealing solution, but one must resolve several tricky issues including the rule dependency and the associated TCAM updates. In this paper, we propose a new approach which can generate dependency-free rules to cache. By removing the rule dependency, the complex TCAM update problem also disappears. We provide the complete T-cache system design including slow path processing and cache replacement, and implement a T-cache prototype on Barefoot Tofino switches. We conduct comprehensive software simulations and hardware experiments based on real-world and synthesized rule tables and packet traces to show that T-cache is efficient and robust for network traffic in various scenarios.

摘要： In addition to challenging the origins of the post–Civil Rights and post-feminist eras (positing with the work of other scholars that both spaces extend beyond notions of backlash and legislative achievements), Alexander-Floyd also notes that within the dominant literature of both post–Civil Rights and post-feminist theories, there is an absence of an intersectional discourse of race, gender, and class and how these areas impact Black women. The first chapter is an analysis of the melodrama of Condoleezza Rice as a Black woman conservative political figure, whose position placed her as both a respectable image (i.e., a Black White House official) and a negative image (i.e., appearing as a “mammy” or “Jezebel,” according to liberal media). Another opportunity for innovative scholarship appears in the third chapter’s discussion of Diary of a Mad Black Woman. Since Tyler Perry’s ascent into mainstream media in 2005, there has also been a slow increase in the number of Black women filmmakers and screenwriters taking the helm in telling the stories of Black women in the mainstream, particularly within the last 10 years, with the rise of talents such as Michaela Coel (Chewing Gum, I May Destroy You), Issa Rae (Insecure), Misha Green (Lovecraft Country), Ava DuVernay (I Will Follow, Queen Sugar), Leigh Davenport (Run the World), Lena Waithe (Queen & Slim, The Chi), and Robin Thede (Black Lady Sketch Show).

摘要： The emphasis in early minstrelsy studies has often neglected Black women and the caricature used to represent them, the wench. The wench was the performance of Black women by White men on stage, either through cross-dressed, drag performance, or referenced in skits, songs, and advertisements. Although cross-dressing and the homoerotic nature of those drag performances in the minstrel show has been the focus of some scholarship, the construction of Black women in this popular form of entertainment has been neglected. The early labels of Black women in the U.S. historically fell into two main categories: jezebel and mammy. Each of these labels transverse both fictional and nonfictional Black women and were continually reinforced in popular culture through literature, theater, advertisements, and later, television and film.

关键词： computer science   student-directed   projects   project-based learning   PBL   assessment   feedback  

摘要： Student-directed projects are a promising approach to supporting powerful learning, yet uncertainty about how to assess these projects presents a barrier to widespread incorporation in K-12 classrooms. Drawing on interviews with computer science teachers and an interdisciplinary literature review, Karen Brennan, Sarah Blum-Smith, and Paulina Haduong offer four principles to guide assessment of student-directed projects: recognizing the individuality of the learner, illuminating process, engaging multiple perspectives, and cultivating capacity for personal judgment. They describe the research behind these principles and provide and example of what they look like in practice.