In this paper, a common-mode voltage (CMV) elimination and neutral point potential balance control algorithm is proposed for the dual three-phase motor (DTPM) driven by neutral point clamped (NPC) parallel three-level...
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Federated Learning (FL) is vulnerable to backdoor attacks through data poisoning if the data is not scrutinized, as malicious participants can inject backdoor triggers in normal samples, leading to poisoned updates. D...
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Deep Learning Large Language Models (LLMs) have the potential to automate and simplify code writing tasks. One of the emerging applications of LLMs is hardware design, where natural language interaction can be used to...
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ISBN:
(纸本)9798350364613;9798350364606
Deep Learning Large Language Models (LLMs) have the potential to automate and simplify code writing tasks. One of the emerging applications of LLMs is hardware design, where natural language interaction can be used to generate, annotate, and correct code in a Hardware Description Language (HDL), such as Verilog. This work provides an overview of the current state of using LLMs to generate Verilog code, highlighting their capabilities, accuracy, and techniques to improve the design quality. It also reviews the existing benchmarks to evaluate the correctness and quality of generated HDL code, enabling a fair comparison of different models and strategies.
Fuzzing is a widely recognized and effective technique for software vulnerability detection. In recent years, significant progress has been made in bypassing complex checks, such as magic values and checksums, and imp...
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In this paper, we propose a dynamic data transmission strategy for smart home environments that aims to optimize the Quality of Experience (QoE) by adaptively adjusting the data upload frequency based on the predicted...
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software-Defined Networking (SDN) has introduced flexibility and efficiency to network management but also faces challenges from flow rule conflicts, including static, dynamic, and dependency conflicts. Existing detec...
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Sustainable development denotes the enhancement ofliving standards in the present without compromising future generations'*** Development Goals(SDGs)quantify the accomplishment of sustainable development and pave ...
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Sustainable development denotes the enhancement ofliving standards in the present without compromising future generations'*** Development Goals(SDGs)quantify the accomplishment of sustainable development and pave the way for a world worth living in for future *** can contribute to the achievement of the SDGs by guiding the actions of practitioners based on the analysis of SDG data,as intended by this *** propose a framework of algorithms based on dimensionality reduction methods with the use of Hilbert Space Filling Curves(HSFCs)in order to semantically cluster new uncategorised SDG data and novel indicators,and efficiently place them in the environment of a distributed knowledge graph ***,a framework of algorithms for insertion of new indicators and projection on the HSFC curve based on their transformer-based similarity assessment,for retrieval of indicators and loadbalancing along with an approach for data classification of entrant-indicators is ***,a thorough case study in a distributed knowledge graph environment experimentally evaluates our *** results are presented and discussed in light of theory along with the actual impact that can have for practitioners analysing SDG data,including intergovernmental organizations,government agencies and social welfare *** approach empowers SDG knowledge graphs for causal analysis,inference,and manifold interpretations of the societal implications of SDG-related actions,as data are accessed in reduced retrieval *** facilitates quicker measurement of influence of users and communities on specific goals and serves for faster distributed knowledge matching,as semantic cohesion of data is preserved.
The proceedings contain 71 papers. The topics discussed include: multi-class failure prediction for distributedsystems based on KPI data and feature selection;accelerating high-precision vulnerability detection in c ...
ISBN:
(纸本)9798350306378
The proceedings contain 71 papers. The topics discussed include: multi-class failure prediction for distributedsystems based on KPI data and feature selection;accelerating high-precision vulnerability detection in c programs with parallel graph summarization;PointStack: a point cloud processing network with enhanced global feature aggregation;improving visual speech recognition for small-scale datasets via speaker embedding;GNN and encoder integrated model for distributed solar and wind power forecasting;automatic detection method for software requirements text with language processing model;MAFF: a novel MobileNetV3 attention feature fusion network for automatic vehicle classification;and interval-valued Z-number aggregation operators and its application in airbus type selection problem.
In digital systems, multiplication operations are crucial, particularly in applications like image processing. This paper proposes an approximate radix-8 Booth multiplier designed to enhance performance and reduce com...
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Social perception recommendation systems can effectively alleviate the user cold start problem by leveraging the side information of social networks. However, most social perception recommendation systems treat user r...
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