We consider the well-known cutting stock problem (CSP). A (2, 3)-instance of CSP is an instance for which each of its items can only be packed into the container either two or three times. The gap of a CSP instan...
详细信息
Given the growing burnout of teachers during the pandemic, it is necessary to recommend that higher education institutions apply careful planning in developing teacher well-being programs. Therefore, the main objectiv...
详细信息
Open-source hardware such as RISC-V has been gaining substantial momentum. Recently, they have begun to embrace Google's Android operating system to leverage its software ecosystem. Despite the encouraging progres...
详细信息
ISBN:
(纸本)9781450384728
Open-source hardware such as RISC-V has been gaining substantial momentum. Recently, they have begun to embrace Google's Android operating system to leverage its software ecosystem. Despite the encouraging progress, a challenging issue arises: a majority of Android applications are written in native languages and need to be recompiled to target new hardware platforms. Unfortunately, this recompilation process is not scalable because of the explosion of new hardware platforms. To address this issue, we present WasmAndroid, a high-performance cross-platform runtime for native programming languages on Android. WasmAndroid only requires developers to compile their source code to WebAssembly, an efficient and portable bytecode format that can be executed everywhere without additional reconfiguration. WasmAndroid can also trans-pile existing application binaries to WebAssembly when source code is not available. WebAssembly's language model is very different from C/C++ and this mismatch leads to many unique implementation challenges. In this paper, we provide workable solutions and conduct a preliminary system evaluation. We show that WasmAndroid provides acceptable performance to execute native applications in a cross-platform manner.
Much of the communication in organizations is now taking place on enterprise communication platforms like Slack and Microsoft Teams. These platforms enable modern teamwork, but may also exacerbate discriminatory pract...
详细信息
Throughout the last years, but especially with the outbreak of the Covid-19 pandemic, our workplaces and way of 'going to work' has changed a lot. One might even claim that the nature of work is 'in limbo&...
详细信息
As a fundamental component of optical signal processing, the normal operation of an all optical logic gate is the foundation for ensuring the operation of all optical networks. Using deep learning methods to model the...
详细信息
ISBN:
(数字)9798350367652
ISBN:
(纸本)9798350367669
As a fundamental component of optical signal processing, the normal operation of an all optical logic gate is the foundation for ensuring the operation of all optical networks. Using deep learning methods to model the all optical logic gate can effectively avoid complex physical analysis processes, and trained networks can predict outputs based on inputs. In this paper, we use deep learning bidirectional LSTM algorithm with attention mechanism to model an all optical logic And gate implemented using SOA-MZI. To ensure that SOA operates within the normal injection current operating range, a training set with injection current as a feature is used to train the bidirectional LSTM algorithm with attention mechanism. The results demonstrate that this algorithm can effectively model all optical logic And gates by comparing the difference between simulation output and digital twin output. Meanwhile, prior estimation of the normal operating range of the injected current can be performed.
Neural multi-hop logical query answering (LQA) is a fundamental task to explore relational data such as knowledge graphs, which aims at answering multi-hop queries with logical operations based on distributed represen...
详细信息
ISBN:
(纸本)9783031472398;9783031472404
Neural multi-hop logical query answering (LQA) is a fundamental task to explore relational data such as knowledge graphs, which aims at answering multi-hop queries with logical operations based on distributed representations of queries and answers. Although previous LQA methods can give specific instance-level answers, they are not able to provide descriptive concept-level answers, where each concept is a description of a set of instances. Concept-level answers are more comprehensible to users and are of great usefulness in the field of applied ontology. In this work, we formulate the problem of LQA with concept-level answers (LQAC), solving which needs to address challenges in incorporating, representing, and operating on concepts. We propose an original solution for LQAC. Firstly, we incorporate description logic-based ontological axioms to provide the source of concepts. Then, we represent concepts and queries as fuzzy sets, i.e., sets whose elements have degrees of membership, to bridge concepts and queries with instances. Moreover, we design operators involving concepts on top of fuzzy set representation of concepts and queries for optimization and inference. Extensive experimental results on three real-world datasets demonstrate the effectiveness of our method for LQAC. In particular, we show that our method is promising in discovering complex logical biomedical facts.
Stacked Nanosheet Transistor (SNST) is the potential candidate for the Digital, Analog, and RF application due to its better SCE, ON current and area footprint. This work performs 3D FEM calculation of SNST to RF prop...
详细信息
Stacked Nanosheet Transistor (SNST) is the potential candidate for the Digital, Analog, and RF application due to its better SCE, ON current and area footprint. This work performs 3D FEM calculation of SNST to RF properties analysis for Single Gate Contact (SGC) and Double Gate Contact (DGC). Effect of SGC & DGC analyzed on gate resistance (Rg) and capacitance (C gg ) of the device, which limits the unity gain frequency (f T ) and maximum frequency of oscillation (f MAX ). Variation of Rg with the device parameters such as gate length, sheet width, thickness, sheet pitch, stack spacing, and number of sheets are analyzed. Effect of SGC and DGC on R g , C g , f T and f MAX explained. The Optimum number of sheets required for better RF FOM is calculated.
Currently, many competitive programming contests have been held. These contests are composed of several problems of a wide range of difficulty levels. Novice programmers must approach problems based on their experienc...
详细信息
ISBN:
(数字)9798350391343
ISBN:
(纸本)9798350391350
Currently, many competitive programming contests have been held. These contests are composed of several problems of a wide range of difficulty levels. Novice programmers must approach problems based on their experience and levels to avoid losing confidence and motivation to learn programming skills. In some programming contests, the difficulty level of a problem is given as a numerical value. However, each contest site assigns difficulty levels based on its criteria, making comparing levels among two or more contest sites impossible. This study proposes a method to estimate the difficulty level from the problem description and example solution information. Specifically, we attempted to estimate the difficulty of the problems using GPT-3.5 Turbo, which was fine-tuned with the problem descriptions and example solutions. The experiment was conducted on the fine-tuned GPT-3.5 Turbo under five conditions to evaluate the performance of difficulty estimation. As a result, a model that was fine-tuned with problem descriptions and estimated difficulty from the problem description had the best performance. In addition, the performance of the model fine-tuned with problem descriptions only was better than that of the model fine-tuned with problem descriptions and example solutions.
PV installations and systems running under variable irradiation and temperature in addition to variable load conditions, produce a variance in its output voltage, resulting in control challenges. The use of a DC conve...
详细信息
暂无评论