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检索条件"任意字段=2022 IEEE Asia-Pacific Conference on Computer Science and Data Engineering, CSDE 2022"

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Metaverse Interview Room Creation With Virtual Interviewer Generation Using Diffusion Model

Metaverse Interview Room Creation With Virtual Interviewer G...

引用

2023 ieee asia-pacific conference on computer science and data engineering, csde 2023

作者： Si, Jongwook Yang, Seongeun Kim, Daemin Kim, Sungyoung Kumoh National Institute of Technology Dept. Computer Ai Convergence Engineering Gumi Korea Republic of Kumoh National Institute of Technology Dept. Computer Engineering Gumi Korea Republic of

ISBN: (纸本)9798350341072

Virtual interviews are an effective way to respond quickly to the changing trends of our time and adapt flexibly to the hiring processes of various organizations. Through this method, applicants have the opportunity to practice their interview skills and receive feedback, greatly aiding their job preparation. Additionally, experiencing a virtual interview environment that is similar to an actual one enables them to adapt more easily to a variety of new interview situations. This paper delves deeply into the virtual interview environment implemented by combining cutting-edge metaverse technology and generative AI. Specifically, it focuses on creating an environment utilizing realistic Diffusion models to generate interviewers, enabling the provision of scenarios that are similar to actual interviews. © 2023 ieee.

关键词： Virtual reality

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Supply Chain Optimization in Cement Industry Using Blockchain Technology

Supply Chain Optimization in Cement Industry Using Blockchai...

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2023 ieee asia-pacific conference on computer science and data engineering, csde 2023

作者： Hamood, Rabeya Makhdoom, Imran Iqbal, Waseem Jamil, Tariq National University of Sciences and Technology Department of Information Security Islamabad44000 Pakistan Sultan Qaboos University Department of Electrical and Computer Engineering AlKhod Muscat123 Oman

ISBN: (纸本)9798350341072

The ubiquitous use of Internet of Things devices in supply chain management has facilitated manufacturers and other stakeholders to monitor various aspects of the product or shipment. However, conventional solutions have numerous challenges ranging from data integrity, product provenance, and trust issues to scalability problems. This research demonstrates how scalability and provenance of cement bags can be ensured through a combination of blockchain technology and the Internet of Things devices. The distributed ledger securely records each step, from acquiring raw materials to delivering the finished product. The inherent transparency of blockchain technology promotes confidence among all the stakeholders in the supply chain and makes it easier to comply with legal requirements. The security and performance analysis determines that the proposed solution is secure and efficient with minimal performance overheads. © 2023 ieee.

关键词： Blockchain

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Solar Irradiance Prediction using Deep Learning-Based Approaches

Solar Irradiance Prediction using Deep Learning-Based Approa...

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2022 ieee asia-pacific conference on computer science and data engineering, csde 2022

作者： Hari, Ninu G Jisha, G. Rajagiri School of Engineering and Technology Department of Computer Science and Engineering Kochi India

ISBN: (纸本)9781665453059

The worst effects of pollution from greenhouse gas emissions are increase in atmospheric temperature, sea level rise, and a variety of diseases. The main source of greenhouse gases is the combustion of fossil fuels, especially in thermal power plants. The use of renewable energy sources, such as solar energy, can significantly reduce this pollution. The amount of electricity produced from solar energy can be maximised by placing the solar power plant in an area with high direct horizontal irradiance (DHI). Solar irradiance predictions will help to design and build solar power facilities very efficiently. However, accurate prediction is a challenge. In this study, the deep learning approaches such as single-layered LSTM and stacked LSTM variations like two-layered LSTM and three-layered LSTM are used to forecast DHI. © 2022 ieee.

关键词： Solar energy

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Decentralized Identifiers Using Distributed Ledger Technologies

Decentralized Identifiers Using Distributed Ledger Technolog...

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2023 ieee asia-pacific conference on computer science and data engineering, csde 2023

作者： Alizadeh, Morteza Andersson, Karl Schelén, Olov Luleå University of Technology Department of Computer Science Electrical and Space Engineering Skellefteå Sweden Luleå University of Technology Department of Computer Science Electrical and Space Engineering Luleå Sweden

ISBN: (纸本)9798350341072

Decentralized identification is an interesting topic for Internet-based systems. Although the use of centralized systems for identification is prevalent, there is still a need for decentralized identification systems that do not rely on a centralized entity. We propose using Distributed Ledger Technology (DLT) to fulfill the needs. Although DLT and Distributed Hash Table (DHT) can be used as technologies in Decentralized Identifiers (DIDs), immutability and the growth of transactions are still challenging. This paper investigates DIDs under the W3C standard and DLT-based technology as one of the solutions for verifiable data registries in DIDs. We evaluate our proposed solution by comparing three models wrt. query time for verifiable data registries. Our proposed architecture for data registry achieves better query time by concealing old transactions from the main DLT. © 2023 ieee.

关键词： Distributed ledger

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Weight Design for Small data Sample Decision under Attribute Association

Weight Design for Small Data Sample Decision under Attribute...

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2022 ieee asia-pacific conference on computer science and data engineering, csde 2022

作者： Zhang, Shixuan Sun, Songpeng Ma, Jie Zhang, Kai Zheng, Xiaopeng Harbin Institute of Technology Department of Control Science and Engineering Harbin China Science and Technology on Space Physics Laboratory Beijing China China Academy of Launch Vehicle Technology Research and Development Department Beijing China

ISBN: (纸本)9781665453059

In aircraft test, the sample size of flight test data is small, and the test data returned by telemetry also has the problem of attribute association. A weight design method of small sample decision under attribute association is proposed. The method enhances the small sample data based on the synthetic minority oversampling technique, reduces the dimension of variables through principal component analysis, normalizes the principal components based on the variance contribution rate, and obtains the weight of each principal component after dimensionality reduction. The research results can be applied to the weight design of the guidance and control system of aircraft, and provide a new method support for the subsequent relevant test evaluation. © 2022 ieee.

关键词： Principal component analysis

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A PSO Based Method to Generate Actionable Counterfactuals for High Dimensional data

A PSO Based Method to Generate Actionable Counterfactuals fo...

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2023 ieee asia-pacific conference on computer science and data engineering, csde 2023

作者： Shekhar, Shashank Salim, Asif Jinturkar, Vivaswan Nayak, Anirudha Bansode, Adesh Subex Ltd Bengaluru India

ISBN: (纸本)9798350341072

Counterfactual explanations (CFE) are methods that explain a machine learning model by giving an alternate class prediction of a data point with some minimal changes in its features. It helps the users to identify their data attributes that caused an undesirable prediction like a loan or credit card rejection. We describe an efficient, and an actionable counterfactual (CF) generation method based on particle swarm optimization (PSO). We propose a simple objective function for the optimization of instance-centric CF generation problem. The PSO brings in a lot of flexibility in terms of carrying out multi-objective optimization in large dimensions, capability for multiple CF generation, and setting box constraints or immutability of data attributes. An algorithm is proposed that incorporates these features and it enables greater control over the proximity and sparsity properties over the generated CFs. The proposed algorithm is evaluated with a set of action-ability metrics in real-world datasets, and the results were superior compared to that of the state-of-the-arts. © 2023 ieee.

关键词： Multiobjective optimization

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Application of artificial intelligence in secure decentralized computation enabled by TOTEM

Application of artificial intelligence in secure decentraliz...

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2022 ieee asia-pacific conference on computer science and data engineering, csde 2022

作者： Jose, Dhanya Therese Rong, Chunming Chakravorty, Antorweep University of Stavanger Department of Computer Science & Electrical Engineering Stavanger4036 Norway

ISBN: (纸本)9781665453059

TOTEM is a framework that allows users to execute their own code on access restricted datasets with controlled computation. It provides data security by restricting the exchange of data across the network, instead, the data will be executed within the data owner's environment itself. This ensures the data owners have full control over their data. The framework has been patented under US Patent No: US11,121,874 B2 in 2021. In this study, we are focusing on two areas, (i) how to improve the core features of the TOTEM architecture to an advanced level by introducing AI and (ii) the application of the TOTEM architecture in various sectors. Blockchain-enabled federated learning is getting more attention these days and its unique advantages while used within the TOTEM architecture are also discussed in this article. © 2022 ieee.

关键词： Blockchain

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Extending and Evaluating Usability Heuristics for Educational Website in Fiji

Extending and Evaluating Usability Heuristics for Educationa...

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2023 ieee asia-pacific conference on computer science and data engineering, csde 2023

作者： Sami, Monesh Devi, Pritika Ali, A. B. M. Shawkat Kumar, Anal Fiji National University Department of Computer Science and Information Systems Nadi Fiji Fiji National University Department of Office Administration/Library and Information System Nadi Fiji School of Science and Technology The University of Fiji Saweni Fiji

ISBN: (纸本)9798350341072

Learning Management Systems (LMS) has recently gained a lot of popularity as an effective tool for improving education while promoting distance and flexible learning in Fiji. eLearning platforms should be able to possess usability features, including user-friendliness, ease of use and satisfaction of user requirements. With the diverse number of universities and courses globally, LMS websites created revolutionary changes in the educational sector. With these innovations, it is vital to ensure the effectiveness of educational sites by evaluating the usability interfaces, as there is minimal study on the effectiveness of websites, especially for LMS. This research intends to fill this gap by extending and evaluating the usability heuristics of educational website interfaces for better detection of usability problems, simultaneously running a survey to determine Moodle usage on different devices among different users in Fiji. © 2023 ieee.

关键词： Human computer interaction

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Leveraging a Randomized Key Matrix to Enhance the Security of Symmetric Substitution Ciphers

Leveraging a Randomized Key Matrix to Enhance the Security o...

引用

2023 ieee asia-pacific conference on computer science and data engineering, csde 2023

作者： Gandhi, Shubham Khare, Om Dravid, Mihika Sanghvi, Mihika Mane, Sunil Gajaralwar, Aadesh Gandhi, Saloni Coep Technological University Department of Computer Science and Engineering India BRACT's Vishwakarma Institute of Information Technology Department of Computer Engineering Maharashtra Pune India

ISBN: (纸本)9798350341072

An innovative strategy to enhance the security of symmetric substitution ciphers is presented, through the implementation of a randomized key matrix suitable for various file formats, including but not limited to binary and text files. Despite their historical relevance, symmetric substitution ciphers have been limited by vulnerabilities to cryptanalytic methods like frequency analysis and known plaintext attacks. The aim of our research is to mitigate these vulnerabilities by employing a polyalphabetic substitution strategy that incorporates a distinct randomized key matrix. This matrix plays a pivotal role in generating a unique random key, comprising characters, encompassing both uppercase and lowercase letters, numeric, and special characters, to derive the corresponding ciphertext. The effectiveness of the proposed methodology in enhancing the security of conventional substitution methods for file encryption and decryption is supported by comprehensive testing and analysis, which encompass computational speed, frequency analysis, keyspace examination, Kasiski test, entropy analysis, and the utilization of a large language model. © 2023 ieee.

关键词： Cryptography

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Exploring the Synergy: Raspberry Pi, ARM Assembly, Interfacing, and AI in computer Architecture Course

Exploring the Synergy: Raspberry Pi, ARM Assembly, Interfaci...

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2023 ieee asia-pacific conference on computer science and data engineering, csde 2023

作者： Gerousis, Costa McCloud, Joshua Christopher Newport University Department of Physics Computer Science and Engineering Newport NewsVA United States

ISBN: (纸本)9798350341072

In recent years, computer architecture instruction has undergone significant transformation, moving away from a primarily theoretical approach, and placing greater emphasis on practical, hands-on learning. Leading this shift is the Raspberry Pi (RaPi), a credit card-sized computer powered by the versatile Broadcom BCM2835 system-on-a-chip (SoC). RaPi offers an open-source operating system, an extensive software library, and abundant online documentation, creating an ideal environment for dynamic and experiential learning. This paper features the successful integration of RaPi into the computer architecture curriculum at CNU, with a primary focus on hands-on labs. These labs cover diverse topics, including RaPi setup and connectivity, low-level programming, Python-based sensor interfacing, and AI-driven image processing for object detection and recognition. The paper provides valuable insights for educators looking to incorporate this single-board computer into their teaching methods, highlighting its multifaceted applications in AI and computer architecture to enhance students' learning experience. © 2023 ieee.

关键词： Internet of things

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