International Journal of Interdisciplinary Telecommunications and Networking (IJITN)

Traditional libraries often suffer from outdated facilities and limited space, impacting learning comfort. This study proposes integrating 5G and mobile intelligent devices to enhance library learning spaces. Results show that the 5G network achieves high efficiency in data transmission, with 95% efficiency at a data volume of 1000 and 96% at a distance of 100 meters. The mobile device system also accurately monitors temperature and humidity, with less than 7% error compared to instruments. This method significantly shortens data transmission time and improves planning efficiency, offering a reliable solution for modernizing library environments.

Chao Han

Zhen Yuan

Xiaoli Wang

International Journal of Interdisciplinary Telecommunications and Networking

Enhancing Library Learning Environments

增强图书馆学习环境

The traditional evaluation mechanism of ideological education in universities faces many challenges. How to improve the quality of knowledge service work in the university and enhance instructors' skill level and effectiveness is the main problem facing the sustainable development of higher education in the new century. This article studies the innovation and expansion of the evaluation and management mechanism for university teachers based on the neural system in order to achieve effective scientific and systematic teaching methods. The experimental results show that the improvement rate of higher education academic performance under neural system learning is 75.12%, which is 17.34% higher than traditional Blended Open Learning(BOP) learning methods. Therefore, the improvement rate using the neural system learning is higher. This article targets different groups responsible for university-level teaching, thereby greatly improving the learning of college students.

Dongling Jin

Innovation and Expansion of Neural System-Based Teacher Evaluation Management Mechanism in Academy

基于神经系统的教师评价管理机制在学院中的创新与拓展

Traditional probabilistic tide calculation methods often fall short in capturing the dynamic nature of these systems, leading to discrepancies between calculated and actual data. To address this, a dynamic probabilistic tide calculation model is proposed in this study, incorporating a wind farm probabilistic model enhanced by the CATTSTS model. This integration aims to optimize prediction accuracy by improving feature focusing and data fitting, thereby reducing prediction errors and providing more reliable data for power system adjustments and optimizations. Experimental results demonstrate that the model's predictions for wind speed series in multi-wind farm distribution networks closely match actual conditions, underscoring its practical applicability and reliability in real-world settings. Furthermore, the study highlights the impact of spatial and temporal correlations on model performance. This research contributes to advancing the management of renewable energy integration in power systems, offering insights for more informed decision-making and operational efficiency.

Xinbai Xue

Hu Lvlong

Wang Haihong

Probabilistic Tide Calculation for Multi-Wind Farm Distribution Network Based on CATTSTS Model

基于CATTSTS模型的多风电场分布式网络概率潮汐计算

Vehicular Ad-hoc Network (VANET) is becoming a potential solution to improve traffic safety and efficiency by facilitating communication among vehicles via exchanging reliable messages. Therefore, reliable and authentic message delivery from legitimate vehicles is a prerequisite. But internal malicious vehicles may disrupt proper functioning by discarding or fabricating packets. For this objective, a computationally efficient direct trust-based model is proposed which evaluate vehicle behavior by verifying the correctness of communicated message even in sparse network situation. We ensure the reliability of each communicated message by secure path selection in Direct-trust-based GPSR routing protocol (DT-GPSR) incorporating trustworthy vehicle. Simulation and analyses show our model help legitimate vehicles to mitigate effect of malicious vehicle communicating false or bogus data to disrupt network.

Meenakshi Gupta

Poonam Gera

Enhanced Reliable Communication Using Direct-Trust-Based GPSR Protocol in VANETs

基于直接信任的GPSR协议在VANETs中增强可靠通信

The world is becoming a place where everything is connected and where everyone expects to use their daily objects to interact with the digital ecosystem in the most safe and seamless manner. This article proposes a smart BLE/NFC membership card system – the Lapa Card –, which can be associated with any company, club or loyalty program. It enables users to physically check-in and safely process payments by acting as a physical authenticator that combines with other authentication factors (e.g., biometric) to seamlessly validate transactions with the highest safety standards. Also, it connects with a network of Gateways to support a directional marketing platform that automates promotional events by proximity. The developed system is able to safely process transactions with the highest safety and minimum friction, and is also able to perform directional marketing in the physical world with good responsiveness while protecting the users’ privacy.

João Lobato Oliveira

Luís Certo

Pedro Minatel

Danton Dornellas Silva

Lapa Card

Lapa 卡片

COVID-19 caused a global public disaster as well as an economic crisis, and other challenges. The fifth-generation network, or 5G, connects practically every machine, person, and thing on the planet. We can analyse the public's opinions and sentiments connected to COVID-19 from 5G user-generated content on social media, which will eventually aid in promoting health intervention strategies and designing successful projects based on public perceptions. The BERT language model is first used to preprocess data that has been obtained from Sina Weibo. Following that, the features of the preprocessed data are chosen using a class-wise information technique. Finally, a capsule network (CapsNet) approach is used to identify the 5G user perception and experience optimization. Dynamic routing algorithm is used for optimizing the capsule network. By comparing the suggested framework's performance with certain existing approaches, its effectiveness is evaluated. Simulation results show that the proposed method is more accurate than previous approaches at identifying 5G user experiences.

JianTong Yu

Li Li

Research on 5G User Perception Detection and Experience Improvement Optimization Based on Capsule Network

基于胶囊网络的5G用户感知检测与体验优化研究

This article presents a proposal of a reconfigurable FIR filter capable of covering the most common wireless communication standards on software-defined radio applications. The filter was implemented using a low-cost field programmable gate array, Cyclone IV EP4CE22F17C6 model from Altera®. System design is presented together with simulation results. Validation is done for a 500 kHz base-band noisy signal. The synthesized design uses 5,259 logic elements of which 4,778 were used for combinational logic blocks and 513 for dedicated logic registers, which represents 22% of total used FPGA capacity. The maximum sampling frequency supported by the architecture is 23.24 MHz.

Lincoln Alexandre Paz Silva

Francisco de Assis Brito-Filho

An FPGA-Based Reconfigurable FIR Filter for SDR Applications

基于FPGA的可重构FIR滤波器用于SDR应用

短名
Journal Impact	0.39
国际分区	TELECOMMUNICATIONS(Q4)

涉及主题	计算机科学工程类操作系统电信计算机网络数学物理无线计算机安全电气工程程序设计语言量子力学万维网经济统计生物
出版信息	出版商: IGI Global，出版周期: ，期刊类型: journal，开源期刊: 否
基本数据	创刊年份: ，原创研究文献占比: 100.00%，自引率:25.00%， Gold OA占比: 3.33%

International Journal of Interdisciplinary Telecommunications and Networking (IJITN)

期刊引文格式

有 1 位以上作者的期刊

有 2 位作者的期刊

有 3 位作者的期刊

有 5 位以上作者的期刊

书籍引用格式

学位论文引用格式

网页引用格式

专利引用格式

手工熬夜修改参考文献？研飞自动匹配期刊，一键轻松成稿，支持 Word/WPS

投稿经验分享

Enhancing Library Learning Environments

Innovation and Expansion of Neural System-Based Teacher Evaluation Management Mechanism in Academy

Probabilistic Tide Calculation for Multi-Wind Farm Distribution Network Based on CATTSTS Model

Enhanced Reliable Communication Using Direct-Trust-Based GPSR Protocol in VANETs

Lapa Card

Enhancing Library Learning Environments

Innovation and Expansion of Neural System-Based Teacher Evaluation Management Mechanism in Academy

Probabilistic Tide Calculation for Multi-Wind Farm Distribution Network Based on CATTSTS Model

Research on 5G User Perception Detection and Experience Improvement Optimization Based on Capsule Network

An FPGA-Based Reconfigurable FIR Filter for SDR Applications