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A User-Centric Evaluation Methodology for Informed Provisioning of High Performance Computing Resources in Academic Institutions 11th

A User-Centric Evaluation Methodology for Informed Provision...

引用

11th Latin American Conference on High Performance Computing

作者： Villalobos, Johansell Asch, Christian Soto, Edward Meneses, Esteban Natl High Technol Ctr San Jose Costa Rica Costa Rica Inst Technol Cartago Costa Rica

ISBN: (纸本)9783031800832;9783031800849

The impact of high performance computing on technological innovation and scientific discovery is preponderant. computer simulation, big data analysis, and generative artificial intelligence are often used in trailblazing products or groundbreaking findings. However, an appropriate provisioning of supercomputing resources for the entire spectrum of users is a daunting task. What should be the right hardware to satisfy future needs and demands? We set out to answer that question, particularly in academic environments, where funding schemes are based on availability of grants. The resulting machine, in those institutions, is usually a heterogeneous mix of several architectures and configurations. This paper presents a methodology to guide the next supercomputing purchase based on what is already available and what upcoming needs are anticipated. We use a collection of publicly-available benchmarks and applications to profile a machine. We then use a mathematical model, based on the current profile, to navigate the space of future configurations and suggest future investments. We applied our methodology to Kabre, a small but representative, compute cluster in an academic setting.

关键词： High Performance Computing Resource provisioning Benchmarking

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Enhancing Box Type Solar Cooker Performance with Optimal Reflecting Sidewall Angles Using Genetic Algorithm 4th

Enhancing Box Type Solar Cooker Performance with Optimal Ref...

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4th International Conference on Advanced Network Technologies and Intelligent Computing-ANTIC-Annual

作者： Akshat Thakur, Narender Singh Thakur, Sanat Kumar, Ankush Mahato, Dharmendra Prasad Natl Inst Technol Hamirpur Dept Comp Sci & Engn Hamirpur 177005 Himachal Prades India

ISBN: (纸本)9783031837821;9783031837838

This research provides a novel method for maximizing heat generation throughout the day by utilizing a Genetic Algorithm (GA) to optimize the sidewall inclination angles of a box-type solar cooker. This study expands on the foundational work by Vaidya et al. [12], where the sidewall angles were optimized for a fixed geometry. To maximize solar radiation capture, the sidewall angles are dynamically adjusted based on sun position at each hour of a given day. In this paper, we use Genetic Algorithm to find the ideal angles for each hour of sunshine, enhancing the thermal performance throughout the day using the same optogeometrical concepts and heat transfer equations described in the cited research [2].

关键词： Box Type Solar Cooker Genetic Algorithm Sidewall Angles Solar Cooker Performance

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Social and Psychological Factors in Interaction with Smart Energy Management Systems 8th

Social and Psychological Factors in Interaction with Smart E...

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8th International Conference on computer-Human Interaction Research and Applications-CHIRA-Annual

作者： Kowalski, Jaroslaw Biele, Cezary Bohdanowicz, Zbigniew Natl Informat Proc Inst Warsaw Poland

ISBN: (纸本)9783031838446;9783031838453

This article explores the social and psychological factors that influence user interactions with smart energy management systems (SEMSs). Modern life is becoming more closely interlinked with the use of modern technology, and electricity demand management systems exemplify this. The energy production, distribution, and consumption system is becoming increasingly complex, and energy consumers are becoming active participants in it-both as prosumers and as consumers determining their energy demand. This article also describes this transformation of the individual energy consumer's role, highlighting the importance of the social dimensions that influence their acceptance and involvement in the use of SEMSs. Based on social research conducted in two European projects that assessed user engagement with SEMSs, we identified trust, knowledge, sense of control, and values as relevant factors influencing user engagement with this new smart environment. The analysis reveals key roles for energy knowledge, environmental awareness, well-designed user interfaces, and incentive mechanisms that motivate users in ways that reach beyond financial incentives. Based on these insights, we advocate a holistic approach to the design and implementation of SEMSs, where users' needs and capabilities are considered throughout the design process.

关键词： Smart energy management systems Smart space Human -machine interaction

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Leveraging Neuromarketing and AI: Developing an Algorithm to Detect Consumer Joy Through Brain Signals

Leveraging Neuromarketing and AI: Developing an Algorithm to...

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4th International Conference on Advanced Research in Technologies information Innovation and Sustainability-ARTIIS-Annual

作者： Yail Marquez, Bogart Quezada, Angeles Alanis, Arnulfo Magdaleno-Palencia, Jose Sergio Tecnol Nacl Mexico Campus Tijuana Tijuana Mexico

ISBN: (纸本)9783031834349;9783031834356

Marketing is a discipline that has gained strength over the years. It seeks to obtain information from its customers' consumption habits through market research to increase sales and create a positive impact on customers. However, knowing the consumer's preference and identifying the emotion generated by being in contact with the product is a titanic task, and that is where we will rely on neuromarketing, which uses data collection directly from the brain. These signals can be used when the need arises to generate an algorithm that can indicate the emotions activated in consumers through the brain's electrical signals. Using diffuse logic and neural networks, we propose an algorithm to identify the feeling of joy. The creation of this algorithm will allow us to perceive and interpret precisely the emotions of the joy of human beings, information that can be very useful in different situations.

关键词： neuromarketing diffuse logic neural networks electroencephalogram brain-computer interfaces

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BLE Receiver Antenna Design for Monitoring and Sensing Applications 2nd

BLE Receiver Antenna Design for Monitoring and Sensing Appli...

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2nd International Conference on Agriculture-Centric Computation

作者： Raina, Radhika Kumar, Suman Indian Inst Technol Dept Elect Engn Bara Phool Punjab India

ISBN: (纸本)9783031744396;9783031744402

Bluetooth stands out as the top choice among wireless technologies for low-power, short-range applications in the realm of the Internet of Things (IoT). Double inverted F antenna (DIFA) as a Bluetooth Low Energy (BLE) receiver also known as scanner is proposed in this paper for monitoring and sensing applications. The proposed DIFA enables real-time monitoring of cow health. The proposed receiver antenna continuously receives the data from the transmitting device which includes the accelerometer sensor tied on the neck of the cow and then sends the received data to the cloud, thus, can quickly identify any anomalies or signs of distress in individual cows or the entire herd. The proposed DIFA is simulated using Ansys High Frequency Structure Simulator (HFSS). It operates within the frequency range of 2.40-2.50 GHz, featuring resonant frequency of 2.45GHz. It possesses -36.23 dB return loss, 4.08% bandwidth percentage and 1.7 dBi gain. Furthermore, comparative analysis has been conducted to assess the enhanced performance of the proposed DIFA with defected ground structure (DGS) in comparison to the DIFA without DGS. Fabrication of the proposed DIFA with DGS technique has been done on FR4 substrate with size of 106mm x 40mm and the measured results closely match the simulated findings. Moreover, proposed DIFA is subjected to testing in both indoor and outdoor environments, confirming its functionality in the far field.

关键词： Bluetooth Low Energy double inverted F antenna defected ground structure

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Topological Quantum Computing for Engineers 4th

Topological Quantum Computing for Engineers

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4th International Conference on Artificial Intelligence and Knowledge Processing

作者： Ganguly, Srinjoy Devendrababu, Shalini Mustafa, Hasan Jain, Prateek Ayala Bertel, Luis Gerardo Fractal Analyt QuantumAI Lab Gurugram India Univ Cartegena Cartegena Colombia

ISBN: (纸本)9783031734762;9783031734779

This didactic paper explores topological superconductivity, an essential idea for enhancing topological quantum computing by utilizing Majorana Fermions (Majorana Zero Modes). Topological quantum computing can enable fault-tolerant qubits, which are essential for implementing quantum AI algorithms and related techniques. This paper discusses the basic principles of topological superconductors, their experimental implementations, and the crucial importance of Majorana Fermions in facilitating error-resistant quantum computing. The paper also examines the integration of quantum AI, emphasizing how the stability of topological qubits enhances the performance of quantum machine learning algorithms. It discusses the obstacles and future possibilities of using topological states for quantum technologies, focusing on engineering applications and recent technical advancements. The study highlights the potential of topological superconductivity to transform quantum computing by providing insight into the creation of reliable quantum systems and scalable quantum circuits.

关键词： Topological Superconductivity Quantum Computing Majorana Fermions Kitaev Chain

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A Contributor-Based Segmentation Model for Open Source Software Source Code Trustworthiness Measurement 4th

A Contributor-Based Segmentation Model for Open Source Softw...

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4th International Conference on Artificial Intelligence Logic and Applications

作者： Hou, Xuecheng Chen, Yixiang Wang, Jianxun East China Normal Univ Shanghai Key Lab Trustworthy Comp Shanghai 200062 Peoples R China

ISBN: (纸本)9789819603534;9789819603541

This paper presents a trustworthiness measurement model for open source software (OSS) trustworthiness assessment. The model decomposes trustworthiness attributes at the source code level and evaluates contributor contribution values. By quantifying attributes such as security, maintainability, reliability, testability, and compatibility, and introducing a novel method for measuring contributor impact based on Abstract Syntax Trees (ASTs), our model provides a holistic view of OSS trustworthiness. Through contributor segmentation and weight assignment, it reflects the varying influence of contributors. Experimental validation using Huawei's OpenEuler OSS demonstrates the model's effectiveness, bridging theory and practice in OSS quality assurance and empowering stakeholders in critical system decisions.

关键词： Open source software Open source contributor Trustworthiness measurement

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Multi-objective Optimization of Antenna Based on Improved WOA-BP Neural Network 5th

Multi-objective Optimization of Antenna Based on Improved WO...

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5th International Conference on Neural Computing for Advanced Applications (NCAA)

作者： Zhuang, Huawei Sun, Fangzhen Li, Gaoqi Liu, Jianzhao Shandong Jianzhu Univ Sch Informat & Elect Engn Jinan 250101 Peoples R China

ISBN: (纸本)9789819770007;9789819770014

During the design of multi-objective antennas, optimizing efficiency and computing expenses are key considerations. In this essay, a rapid antenna optimization strategy that combines the BP neural network with the non-dominated sorting genetic algorithm II is proposed. Firstly, to enhance the global optimization capability, we improve the whale optimization algorithm by improving population initialization, incorporating a nonlinear convergence factor, and introducing adaptive inertia weights. Then, using the IWOA, we optimize the BPNN's initial weights and thresholds to improve model accuracy. Finally, we present a Pareto-optimal three-band antenna optimization, demonstrating that the proposed method can effectively optimize antenna performance while significantly reducing computational cost.

关键词： Antenna optimization BP neural network Improved whale optimization algorithm Pareto-optimal

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Leveraging Knowledge Graphs for Paper Recommendation Systems 4th

Leveraging Knowledge Graphs for Paper Recommendation Systems

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4th International Conference on Intelligent Systems and Pattern Recognition-ISPR

作者： Mataoui, M'hamed Bahloul, Haithem Ziane, Allaeddine Ecole Mil Polytech Dept Comp Sci Algiers Algeria

ISBN: (纸本)9783031821493;9783031821509

With the exponential growth of academic publications, researchers face significant challenges in efficiently discovering relevant resources for their research and development tasks. In response, recommender systems have emerged as a valuable tool, demonstrating success in various domains. In this work, we present a comprehensive architecture for an academic recommendation system based on knowledge graphs. The proposed architecture encompasses the entire process, starting from data collection, named entity recognition, knowledge graph construction to the generation of the recommendations. Our knowledge graph construction approach employs fine-tuned SciBERT, trained on SciREX, to extract key information, such as, methods and datasets referenced in academic publications. Additionally, we integrated CSO Ontology to extract topics related to the processed publications, to enhance the recommendation process. Furthermore, we propose a novel method that utilizes embeddings and similarity measures to generate personalized recommendations. To evaluate the developed prototype, we collaborated with computer science experts according to a proposed rating scale. The preliminary evaluation results confirm the system's ability to effectively recommend relevant publications.

关键词： Knowledge Graphs Academic Recommendation SciBERT SciREX CSO Ontology

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An Integrated Approach for AI-Assisted Survey Systems Using Deterministic and Nondeterministic Models 8th

An Integrated Approach for AI-Assisted Survey Systems Using ...

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2024 World Congress in computer science, computer Engineering and Applied Computing-CSCE

作者： Zhang, Yilian Hunt, Andrew Univ South Carolina Aiken Aiken SC 29801 USA

ISBN: (纸本)9783031856273;9783031856280

Low response rates have always been a challenge in online surveys. Filling out a survey, especially those with open-ended questions, can become tedious for respondents. To address these issues, we propose a new approach that reduces the burden of typing responses by integrating traditional search algorithms and machine learning algorithms. A hybrid Trie-based search algorithm was introduced for word auto-completion, significantly reducing the number of keystrokes required for responses. Domain-specific survey data was input into the training model, demonstrating promising results in initial testing.

关键词： search algorithm machine learning

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