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The Mediating Role of information Sharing in Cloud computing on Supply Chain Management and Financial Performance: The Case of Manufacturing Companies in Selected Areas of Laguna 24

The Mediating Role of Information Sharing in Cloud Computing...

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15th international conference on E-business Management and Economics

作者： Canillas, Mickaella O. Gotiongco, Alyssa Jenna P. Ocfemia, Miguel Antonio M. Red, Ellenita R. Torres, Ramachandra C. Moreno, Donn Enrique L. Mapua Malayan Coll Laguna Cabuyao Laguna Philippines

ISBN: (纸本)9798400717260

Cloud SCM significantly benefits companies across industries by revealing its impact on business operations. Data collected facilitates management in devising solutions to enhance financial performance. Despite its innovative functionalities, there has been a lack of study that examines the actual utilization of cloud SCM. The research evaluated enterprise-wide factors that could potentially affect the financial performance of manufacturing companies in Laguna, Philippines. Hence, the study employed quantitative causal research to evaluate cloud SCM usage and performance, considering technological, organizational, and environmental factors as adapted from TOE framework. The study also determined the mediating effect of information sharing between the significant correlation between cloud computing in SCM and financial performance. Results were analyzed using Partial Least Squares-Structural Equation Modeling (PLS-SEM) with WarpPLS 8.0 software. Non-probability purposive sampling was used to yield 80 respondents through online survey dissemination, surpassing the required 70 based on initial priori power analysis. The participants compromised Mal-lagers in finance and accounting roles working in manufacturing companies located on specific cities of Laguna, Philippines. Findings indicate significant relationships among hypotheses, except for H2 and H7, suggesting no significant relationship between financial performance and cloud SCM complexity, and no significant mediation effect of information sharing on the relationship between cloud computing in SCM and financial performance.

关键词： information sharing cloud computing supply chain management financial performance manufacturing

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NB-IoT-Based Medical information Sharing 3

NB-IoT-Based Medical Information Sharing

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3rd international conference on Advance computing and Innovative Technologies in Engineering, ICACITE 2023

作者： Singh, Takveer Chitkara University Institute of Engineering and Technology Chitkara University Centre for Interdisciplinary Research in Business and Technology Punjab India

ISBN: (纸本)9798350399264

The goal of such research is to utilize NB-IoT to construct a clinical wellness data exchange system. The goal is to eliminate unnecessary and time-consuming patient data collection steps. Additionally, data collection will be done in order to track the care of persistent individuals that reside in outlying areas. When sending input to a system, Low Range Network of Things (NB-IoT) is employed as a middleman to create medical statistics that can be quickly accessed during client therapy and for improving personnel services efficiency. Setting up and connecting wirelessly into medical equipment, information communication hardware, and NB-IoT boards is the first step in the handling of medical information communication. This enables data to transfer among the various devices. Then employ NB-IoT to access to the user's information. coding with Base station efficient. To factors may contribute to a presentable chart and track data trends on an interface, the system in this effort was created and verified with just one individual. The study's findings demonstrate that NB-IoT can send data instantly to databases and show current information and growing information on dashboards in genuine. Therefore, this program's benefit is that it streamlines the process of creating an information retention platform, makes it simple to retrieve databases, and makes it simple to use information for analysis. © 2023 IEEE.

关键词： Electronic data interchange

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Research on Distributed computing Power Scheduling Based on Ant Path Optimization 3

Research on Distributed Computing Power Scheduling Based on ...

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3rd international conference on Artificial Intelligence, Internet of Things and Cloud computing technology, AIoTC 2024

作者： Gao, Shijie Wang, Wende Hu, Cong Chen, Chao Liu, Xiaoqiang Jin, Zihan Li, Guangao Beijing China-Power Information Technology Co. LTD. Beijing100192 China State Grid Liaoning Electric Power CO.LTD. Shenyang110000 China State Grid Anhui Electric Power CO.LTD. Information and Telecommunication Branch Hefei230000 China North China Electric Power University Beijing102208 China State Grid Liaoning Electric Power CO.LTD. Information and Telecommunication Branch Shenyang110000 China

ISBN: (纸本)9798331530280

This study solves the problem of data fusion caused by multi-source and cross-domain power business data, proposes a cross-domain computing capability model for the entire network based on the data middle platform, realizes the sharing and computing of multi-source data, and provides a new solution for the challenges of data centers. It also designs a cross-domain computing power scheduling algorithm based on ant path optimization, significantly improves the accuracy and stability of computing power scheduling through heuristic information design, etc. Experimental verification shows that the algorithm is superior to existing distributed scheduling algorithms in terms of scheduling overhead, etc., and is suitable for the multi-source cross-domain data fusion computing scenarios in data centers. The innovation lies in the introduction of the path optimization idea of the ant algorithm, overcomes the problems of traditional scheduling algorithms, and provides examples and method support for the optimization of power data management and distributed data processing technology in other fields. © 2024 IEEE.

关键词： Data centers

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A Novel Hybrid Approach-Based on Heartbeat and Accelerometer Signals for Enhanced Security in WBSNs

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IEEE Sensors Journal 2025年第6期25卷 10295-10308页

作者： Yan, Guixiang Zhang, Guanghe Liu, Fanghua Williams Samuel, Oluwarotimi Aborokbah, Majed Guo, Jiquan Zhu, Liqing Wei, Sikang Jiangxi Normal University School of Computer and Information Engineering Nanchang330022 China University of Derby School of Computing and Data Science Research Centre DerbyDE22 3AW United Kingdom INTI International University Faculty of Data Science and Information Technology Nilai71800 Malaysia University of Tabuk Faculty of Computers and Information Technology Tabuk71491 Saudi Arabia Jiangxi Normal University School of Digital Industry Shangrao334000 China

In wireless body sensor networks (WBSNs), ensuring secure and efficient key distribution is critical, particularly given the limited computational and energy resources of the sensors. Existing methods often struggle to balance security with these resource constraints, especially in environments involving physiological data such as acceleration (ACC) and electrocardiogram (ECG) signals. For the first time, this study proposes a novel hybrid approach that integrates fuzzy commitment with ACC signal noise and ECG features for efficient key generation and distribution in WBSNs. By employing a low-pass filter to process ACC signal noise, we generated highly random binary sequences (BSs), leveraging the inherent randomness of the signal for secure key generation. Concurrently, an optimized coding scheme was built for ECG feature construction to ensure secure key distribution between devices. Extensive experiments, including entropy analysis and National Institute of Standards and technology (NIST) statistical tests, confirm the robustness and security of our method. The proposed scheme achieves a false acceptance rate (FAR) of 5.23%, demonstrating superior performance across multiple databases in comparison to benchmark approaches. This novel dual-key generation strategy that combines the unpredictability of ACC noise with the individual-specific traits of ECG signals can significantly enhance the security, applicability, and versatility of WBSNs. © 2001-2012 IEEE.

关键词： Acceptance tests

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A Framework for BMC Firmware Vulnerability Analysis and Exploitation 17

A Framework for BMC Firmware Vulnerability Analysis and Expl...

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IEEE Congress on Cybermatics: 17th IEEE international conference on Internet of Things, iThings 2024, 20th IEEE international conference on Green computing and Communications, GreenCom 2024, 17th IEEE international conference on Cyber, Physical and Social computing, CPSCom 2024, 10th IEEE international conference on Smart Data, SmartData 2024

作者： Wang, Jiapeng Zheng, Zhihan Qiu, Kefan Tan, Yu-An Liang, Chen Li, Wenjuan Beijing Institute of Technology School of Cyberspace Science and Technology Beijing China Beijing Information Science & Technology University School of Cyberspace Science and Technology Beijing China The Education University of Hong Kong Department of Mathematics and Information Technology Hong Kong

ISBN: (纸本)9798350351637

The Out-of-Band management system for server is a specialized controller used for monitoring and managing the status of servers. Server BMC(Baseboard Management Controller) firmware has higher privileges, and conducting firmware vulnerability analysis and exploitation based on the characteristics of the BMC firmware operating environment has become an important research direction at present. To improve the effectiveness and ease of BMC firmware detection, non-intrusive methods of firmware code retrieval need to be investigated. We propose a technique called lateral extension to transfer control from the BMC to the server. It accesses high-value targets in the server environment, including RAM, code, and files. The BMC controller is emulated as a master/slave device over the PCI bus of the server. Arbitrary read/write access to the hard drive, memory, and UEFI firmware of the server is accomplished by starting Direct Memory Access (DMA) operations. © 2024 IEEE.

关键词： Firmware

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Efficient data Transmission Algorithm for HPLC Carrier Communication

Efficient data Transmission Algorithm for HPLC Carrier Commu...

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2023 international conference on Evolutionary Algorithms and Soft computing Techniques, EASCT 2023

作者： Jiang, Jianfeng Zhu, Wenjun Marketing Service Center State Grid Shanghai Municipal Electric Power Company Shanghai Shanghai China

ISBN: (纸本)9798350313413

Due to the special nature of power communication, HPLC (High Power Line Carrier) communication technology faces many challenges, such as channel interference, transmission bandwidth limitations, transmission distance limitations, complexity, and other issues. This article introduces the application of bit filling algorithm, error coding algorithm, and channel coding algorithm in HPLC communication. It comprehensively utilizes bit filling algorithm, error coding algorithm, and channel coding algorithm to explore comprehensive and efficient data transmission algorithms. This article also compares the transmission success rate and efficiency of traditional algorithms and newly designed algorithms. The experimental results show that the designed new algorithm is significantly superior to traditional algorithms in terms of transmission success rate and efficiency. In the 60 second test, the success rate of the new algorithm remained above 98% and reached a high level of 99.67% after 40 seconds. The research in this article is of great significance for improving the efficiency and reliability of HPLC carrier communication data transmission. © 2023 IEEE.

关键词： bit filling algorithm carrier communication data transmission algorithm error coding algorithm HPLC communication technology

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Research on Wireless Communication Optimization Based on Edge Computation 4

Research on Wireless Communication Optimization Based on Edg...

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4th international conference on Electronic information Engineering and Computer technology, EIECT 2024

作者： Wen, Yuhan Yuan, Nanbo Zhang, Weiya Xiamen University Malaysia Sepang Malaysia School of Electrical Engineering Yancheng Institute of Technology Yancheng China

ISBN: (纸本)9798331528850

The exponential growth of the number of Internet of Things (IoT) devices is placing significant strain on traditional wireless communication networks, particularly in terms of bandwidth, latency, and energy consumption. As a distributed computing architecture, edge computing enables the consolidation of computing resources at the user's edge, thereby alleviating the burden on the central server and reducing data transmission latency. This paper introduces a multi-level edge computing architecture, implements dynamic resource scheduling and collaborative computing strategies among edge nodes, and employs distributed computing methods to reasonably allocate computing tasks to different nodes, thereby addressing complex network scenarios. Additionally, the model incorporates a resource allocation algorithm based on deep reinforcement learning, which enables adaptive adjustments to bandwidth, computing resources, and communication paths. This results in optimal resource scheduling under varying network loads, markedly enhancing transmission efficiency and overall system performance in edge computing environments. In the experimental phase, the proposed model was validated using a simulation platform. The results demonstrated that the proposed model exhibited notable enhancements in data transmission delay, energy consumption, and throughput compared to the traditional method. © 2024 IEEE.

关键词： Mobile edge computing

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A Qualitative Evaluation of Multiple Quantum computing Frameworks 2

A Qualitative Evaluation of Multiple Quantum Computing Frame...

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2nd international conference on Advances in Computation, Communication and information technology, ICAICCIT 2024

作者： Bansal, Riya Khanna, Megha Rajput, Nikhil Kumar Department of Computer Science University of Delhi India Sri Guru Gobind Singh College of Commerce University of Delhi Delhi India Ramanujan College University of Delhi Delhi India

ISBN: (纸本)9798331541217

With the exponential growth of data and computational needs, traditional computing approaches find them- selves increasingly limited. While quantum computing emerges as a revolutionary alternative that promises solutions beyond the constraints of classical architectures, the proliferation of quantum computing frameworks presents developers with the daunting challenge of selecting the most suitable option. This study exhaustively scrutinizes nine prominent quantum computing frameworks: Cirq, TensorFlow Quantum, Qiskit, Quantum Development Kit (Q#), PennyLane, Amazon Braket, XACC, ProjectQ, and Forest. Thereafter, a comparative study is con- ducted addressing the characteristics, strengths and weaknesses of each framework, providing a nuanced understanding to guide developers in making informed choices. The study bridges the gap in quantum computing literature by offering a detailed exploration of diverse frameworks, thus facilitating the adoption of quantum computing methodologies in a rapidly evolving technological landscape. © 2024 IEEE.

关键词： Quantum computers

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coding Solutions for Robust Performance in Wireless Systems 3

Coding Solutions for Robust Performance in Wireless Systems

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3rd international conference for Advancement in technology, ICONAT 2024

作者： Singh, Vaishali Gupta, Rajesh Srinivasa Rao, K.S. Maharishi University of Information Technology Maharishi School of Engineering & Technology Uttar Pradesh India Sanskriti University Department of Management Uttar Pradesh Mathura India Karnataka Bangalore India

ISBN: (纸本)9798350354171

Wi-Fi structures require reliable coding solutions to ensure robust overall performance. Latest advances in wireless technologies have accelerated the want for reliable coding strategies to catch up on signal losses because of shadowing, fading, and imperfect channel situations. Traditional coding techniques, together with forward mistakes correction (FEC) and variety coding, conflict to hold strong performance underneath challenging conditions. New coding strategies are needed to ensure a reliable Wi-Fi communiqué in difficult propagation environments. Recent research in coding answers for robust wireless systems has explored a selection of methods, such as faster codes, Low-Density Parity-test (LDPC) codes, and area-time coding. LDPC codes offer extended code lengths, which boosts coding benefits and features quite low computational complexity. Area-time codes are a block coding method that improves blunder resilience by utilizing a couple of antennas and transmitting the identical sign in more than one direction simultaneously. These coding answers were implemented to provide improved overall performance in diverse Wi-Fi systems, which include cell, WLAN, and satellite TV for PC communiqué networks. Particularly, turbo codes, LDPC codes, and area-time codes have been used effectively in WLAN networks to reduce channel mistakes and growth records prices, in addition to in mobile networks to enhance spectral efficiency and offer better throughput. © 2024 IEEE.

关键词： Accelerated Environments Propagation Transmitting Robust Wireless Wi-Fi Structures

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18th international conference on Mobile Systems and Pervasive computing, MobiSPC 2021, the 16th international conference on Future Networks and Communications, FNC 2021 and the 11th international conference on Sustainable Energy information technology, SEIT 2021

18th International Conference on Mobile Systems and Pervasiv...

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18th international conference on Mobile Systems and Pervasive computing, MobiSPC 2021, The 16th international conference on Future Networks and Communications, FNC 2021 and the 11th international conference on Sustainable Energy information technology, SEIT 2021

The proceedings contain 72 papers. The topics discussed include: user interface matters: analyzing the complexity of mobile applications from a visual perspective;rediscovering refugee routes: on the creation of collective memory map services;city tourism services with mobile geolocation sharing;smart city transition pillars with layered applications architecture;energy efficient task scheduling in fog environment using deep reinforcement learning approach;using time-correlated noise to encourage exploration and improve autonomous agents performance in reinforcement learning;sustainability of load balancing techniques in fog computing environment: review;and toward fast and reliable active-active geo-replication for a distributed data caching service in the mobile cloud.

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