检索结果-内蒙古大学图书馆

arXiv 2025年

作者： Soares, Pamella Araújo, Allysson Allex Destefanis, Giuseppe Neykova, Rumyana Saraiva, Raphael Souza, Jerffeson Graduate Program in Computer Science State University of Ceará Fortaleza Brazil Science and Technology Center Federal University of Cariri Juazeiro do Norte Brazil Department of Computer Science Brunel University London United Kingdom

The rise of smart contracts has expanded blockchain’s capabilities, enabling the development of innovative decentralized applications (dApps). However, this advancement brings its own challenges, including the management of distributed architectures and immutable data. Addressing these complexities requires a specialized approach to software engineering, with blockchain-oriented practices emerging to support development in this domain. Developer Experience (DEx) is central to this effort, focusing on the usability, productivity, and overall satisfaction of tools and frameworks from the engineers’ perspective. Despite its importance, research on Blockchain Developer Experience (BcDEx) remains limited, with no systematic mapping of academic and industry efforts. To bridge this gap, we conducted a Multivocal Literature Review analyzing 62 to understand the distribution of BcDEx sources, practical implementations, and their impact. Our findings revealed that academic focus on BcDEx is limited compared to the coverage in gray literature, which primarily includes blogs (41.8%) and corporate sources (21.8%). Particularly, development efficiency, multi-network support, and usability are the most addressed aspects in tools and frameworks. In addition, we found that BcDEx is being shaped through five key perspectives: complexity abstraction, adoption facilitation, productivity enhancement, developer education, and BcDEx evaluation. © 2025, CC BY.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Blockchain Developer Experience: A Multivocal Literature Review

Blockchain Developer Experience: A Multivocal Literature Rev...

引用

ICSE Workshop on Cooperative and Human Aspects on Software Engineering, CHASE

作者： Pamella Soares Allysson Allex Araújo Giuseppe Destefanis Rumyana Neykova Raphael Saraiva Jerffeson Souza Graduate Program in Computer Science State University of Ceara Fortaleza Brazil Science and Technology Center Federal University of Cariri Juazeiro do Norte Brazil Department of Computer Science Brunel University London United Kingdom

ISBN: (数字)9798331538712

ISBN: (纸本)9798331502539

The rise of smart contracts has expanded blockchain's capabilities, enabling the development of innovative decentralized applications (dApps). However, this advancement brings its own challenges, including the management of distributed architectures and immutable data. Addressing these complexities requires a specialized approach to software engineering, with blockchain-oriented practices emerging to support development in this domain. Developer Experience (DEx) is central to this effort, focusing on the usability, productivity, and overall satisfaction of tools and frameworks from the engineers' perspective. Despite its importance, research on Blockchain Developer Experience (BcDEx) remains limited, with no systematic mapping of academic and industry efforts. To bridge this gap, we conducted a Multivocal Literature Review analyzing 62 to understand the distribution of BcDEx sources, practical implementations, and their impact. Our findings revealed that academic focus on BcDEx is limited compared to the coverage in gray literature, which primarily includes blogs (41.8%) and corporate sources (21.8%). Particularly, development efficiency, multi-network support, and usability are the most addressed aspects in tools and frameworks. In addition, we found that BcDEx is being shaped through five key perspectives: complexity abstraction, adoption facilitation, productivity enhancement, developer education, and BcDEx evaluation.

关键词： Productivity Systematics Smart contracts Focusing Decentralized applications Blockchains Complexity theory Usability Systematic literature review Software engineering

来源：评论

学校读者我要写书评

暂无评论

A Diversity Inventory Monitoring System of Riparian Vegetation 4

A Diversity Inventory Monitoring System of Riparian Vegetati...

引用

4th International Conference on Cybernetics and Intelligent System, ICORIS 2022

作者： Putra, Dian Pratama Nugraha, Nanda Satya Suparyanto, Teddy Hidayat, Alam Ahmad Sudigyo, Digdo Pardamean, Bens STIPER Agricultural Institute Faculty of Agricultural Technology Yogyakarta55282 Indonesia STIPER Agricultural Institute Yogyakarta Faculty of Agricultural Technology Faculty of Forestry Yogyakarta55282 Indonesia Bina Nusantara University Bioinformatics and Data Science Research Center Jakarta11480 Indonesia Bina Nusantara University BINUS Graduate Program - Master of Computer Science Computer Science Department Jakarta11480 Indonesia

ISBN: (纸本)9781665453950

To strengthen conservation efforts for preserving biodiversity in a conservation area, forest inventory is important to understand the natural succession process in the area and to establish a monitoring strategy. Further, tree inventory aims to monitor the output yielded in the area. More specifically, the tree inventory in the watershed area plays a key role to achieve Sustainable Development Goals (SDG), especially in riparian zones which are also vital parts of green zones in forests. However, the traditional inventory approach is time-consuming and laborious therefore the development of an expert system to assist in inventory monitoring is required. In this study, we develop a monitoring system via a mobile application to collect, analyze and visualize tree inventory data. The application includes algorithms required to compute tree biodiversity, distribution, and richness for the given input of the data of all tree species in a conservation area. For the model validation stage, we compare the traditional inventory approach with our proposed application-based approach to compute diversity inventory in two riparian locations: Klaten Conservation Park and Wonosobo Conservation Park. After the three-day data collection in the areas, we obtain that the accuracy of reading data of our proposed system can achieve more than 90% in comparison with the manual approach. This demonstrates that the system can assist forestry workers to perform more efficient tree inventories in different locations. © 2022 IEEE.

关键词： Biodiversity

来源：评论

学校读者我要写书评

暂无评论

High-Performance and Resource-Efficient IoT-based Sleep Monitoring System 91

High-Performance and Resource-Efficient IoT-based Sleep Moni...

引用

91st IEEE Vehicular Technology Conference, VTC Spring 2020

作者： Surantha, Nico Utomo, Oei Kurniawan Isa, Sani Muhamad Binus Graduate Program-Master of Computer Science Computer Science Department Jakarta11480 Indonesia

ISBN: (纸本)9781728152073

Recently, the number of people who have trouble sleeping is on the rise. It results in an increase in the number of car accidents, lower productivity and a higher risk of chronic disease. Advancing wearable and contactless health sensors offers the possibility of daily sleep quality monitoring that can be done on a regular basis by patients in their homes. The goal of this research is to propose the design of an Internet-of-Things (IoT) sleep quality monitoring system that can be integrated with a wearable or contactless sensor. The proposed platform architecture is based on micro-services and is event-driven. The simulation results show that the implementation of the IoT sleep quality monitoring system based on the proposed design decreases the response time by 55.85 per cent while increasing the throughput by 34.76 per cent compared to the traditional approach. On the other hand, the rate of increase in memory usage per instance replication for proposed method is lower than the traditional method. © 2020 IEEE.

关键词： Internet of things

来源：评论

学校读者我要写书评

暂无评论

SFA-Net: A Selective Features Absorption Network for Object Detection in Rainy Weather Conditions

引用

IEEE Transactions on Neural Networks and Learning Systems 2023年第8期34卷 5122-5132页

作者： Huang, Shih-Chia Hoang, Quoc-Viet Le, Trung-Hieu National Taipei University of Technology Department of Electronic Engineering Taipei10608 Taiwan National Taipei University of Technology International Graduate Program in Electrical Engineering and Computer Science Taipei10608 Taiwan Hung Yen University of Technology and Education Faculty of Information Technology Hungyen 17000 Viet Nam

In recent years, object detection approaches using deep convolutional neural networks (CNNs) have derived major advances in normal images. However, such success is hardly achieved with rainy images due to lack of visibility. Aiming to bridge this gap, in this article, we present a novel selective features absorption network (SFA-Net) to improve the performance of object detection not only in rainy weather conditions but also in favorable weather conditions. SFA-Net accomplishes this objective by utilizing three subnetworks, where the feature selection subnetwork is concatenated with the object detection subnetwork through the feature absorption subnetwork to form a unified model. To promote further advancement in object detection impaired by rain, we propose a large-scale rainy image dataset, named srRain, which contains both synthetic rainy images and real-world rainy images for training and testing purposes. srRain is comprised of 25 900 rainy images depicting diverse driving scenarios in the presence of rain with a total of 181 164 instances interpreting five common object categories. Experimental results display that our SFA-Net reaches the highest mean average precision (mAP) of 77.53% on a normal image set, 62.52% on a synthetic rainy image set, 37.34% on a collected natural rainy image set, and 32.86% on a published real rainy image set, surpassing current state-of-the-art object detectors and the combination of image deraining and object detection models while retaining a high speed. © 2012 IEEE.

关键词： Feature extraction

来源：评论

学校读者我要写书评

暂无评论

Building Prediction Model for Detecting Cyberbullying using TikTok Comments

Building Prediction Model for Detecting Cyberbullying using ...

引用

Recent Advances and Innovations in Engineering (ICRAIE)

作者： Bunga Aura Prameswari Haliza Syafa Oktaviani Titus Rangga Wicaksono Biben Pieter Leonard Said Achmad Rhio Sutoyo Computer Science Department School of Computer Science Bina Nusantara University Jakarta Indonesia International Business Management Program Management Department BINUS Business School Undergraduate Program Bina Nusantara University Jakarta Indonesia

Easily accessible Internet and the need for communication led to the widespread use of social media platforms, e.g., TikTok. Social media platforms offer opportunities for social interaction and enter- tainment but also introduce risks such as fake news, fraud, and cyberbullying. The latter severely threatens the victim’s mental health and overall well-being. This research collects, annotates, and analyzes 1,508 TikTok comments concerning cyberbullying behavior. Then, the comments were used to build a Deep Learning BERT (Bidirectional Encoder Representations from Transformers) architecture prediction model. This experiment will use pretrained model BERT and fine-tuning BERT. After fine-tuning, the prediction model achieves 0.63 validation accuracy. This research high- lights the importance of building a prediction model to detect cyberbullying and contribute to a better understanding and prevention of this behavior on social media platforms.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Development of an IoT-Based Sensor for Indirect Measurement of Underwater CO2 Levels in Aquascape Environments

Development of an IoT-Based Sensor for Indirect Measurement ...

引用

computer sciences, Engineering, and Technology Innovation (ICoCSETI), International Conference on

作者： Ivan Diryana Sudirman Boby Siswanto Entrepreneurship Department Binus Business School Undergraduate Program Bina Nusantara University Bandung Indonesia School of Computer Science Bina Nusantara University Bandung Indonesia

ISBN: (数字)9798331508616

ISBN: (纸本)9798331508623

This research develops and tests a modified air pocket chamber with a Non-Dispersive Infrared (NDIR) sensor monitoring aquarium CO 2 levels. While conventional drop checkers offer delayed and non-digital CO 2 data, this work aimed to create a more responsive and affordable aquascaping tool. The device catches and analyzes CO 2 emitted into an air pocket in a partially submerged chamber to estimate indirect CO 2 using an MH-Z19B sensor. Initial tests revealed water pressure and CO 2 buildup in the chamber producing inaccurate readings. Subsequently, a modified chamber was designed to address these issues. The altered gadget detected variations in CO 2 content, stabilizing at 800–900 ppm without aeration and declining to 400–500 ppm with aeration, according to tests. With a mean concentration of 677.56 ppm and a standard deviation of 167.76 ppm, CO 2 data revealed modest variability in response to aeration conditions. The results verify that the modified chamber provides a less expensive substitute for digital measurement tools since it can track aquascaping CO 2 levels.

关键词： Technological innovation Monitoring Standards

来源：评论

学校读者我要写书评

暂无评论

Recommendation system based on recognition of prior learning to support curriculum design in online higher education 6

Recommendation system based on recognition of prior learning...

引用

6th International Conference on Information Management and Technology, ICIMTech 2021

作者： Murad, Dina Fitria Hassan, Rosilah Heryadi, Yaya Wijanarko, Bambang Dwi Titan Bina Nusantara University BINUS Online Learning Information Systems Department Jakarta11480 Indonesia Universiti Kebangsaan Malaysia Center for Cyber Security Faculty of Information Science Technology UKM Bangi Selangor Malaysia Bina Nusantara University BINUS Graduate Program- Computer Science Computer Science Department Jakarta11480 Indonesia Bina Nusantara University BINUS Online Learning Computer Science Department Jakarta11480 Indonesia

ISBN: (纸本)9781665449373

Based on the policy of independent study and independent campus, where students can participate in part of the study period and load from within the campus, as well as others outside the campus, so that they can complete all periods and study loads as needed qualification is determined by the study program conducted through assessors. and this requires a variety of processes and takes a lot of time. For this reason, an alternative technique is needed to conduct an automatic Recognition of Prior Learning (RPL) assessment through the application of a recommendation system. The purpose of this research is to find out how the recommendation system approach is used to predict RPL assessments and provide support for curriculum development in tertiary institutions that can meet the learning needs of the digital community. This study has succeeded in classifying learning outcomes based on independent assessment data of prospective students and can provide recommendations for curriculum development in colleges that organize online learning. This study proves that the use of a recommendation system using deep learning in the RPL assessment has an accuracy (97, 24%) and is relatively the same as the assessor's assessment. © 2021 IEEE.

关键词： Recommender systems

来源：评论

学校读者我要写书评

暂无评论

Blockchain-Based Chain of Custody for Digital Evidence with Hyperledger Fabric

Blockchain-Based Chain of Custody for Digital Evidence with ...

引用

International Conference on Information Networking

作者： Leandro Loffi Gerson Luiz Camillo Carla Merkle Westphall Carlos Becker Westphall Department of Post-Graduate Program in Computer Science Federal University of Santa Catarina (UFSC) Florianópolis SC Brazil

ISBN: (数字)9798331506940

ISBN: (纸本)9798331506957

The increasing presence of digital evidence in legal, criminal, and civil cases requires adaptations to traditional chain-of-custody processes to ensure the integrity of this evidence. This work proposes the use of blockchain technology, specifically through Hyperledger Fabric, to strengthen the chain of custody for digital evidence. The developed solution employs smart contracts to immutably record each stage of evidence handling, from collection to transfer of custody, ensuring data authenticity, integrity, and traceability. Our implementation demonstrates that blockchain technology can significantly reduce the risk of evidence tampering, improve process efficiency, and facilitate audits, thereby contributing to greater reliability in the presentation of evidence during judicial proceedings.

关键词： Surveys Accuracy Distributed ledger Tracking Forensics Data security Smart contracts Fabrics Blockchains Reliability

来源：评论

学校读者我要写书评

暂无评论

Unlocking Consumer Minds: Navigating Purchase Intentions through the Lens of Augmented Reality and the Technology Acceptance Model

Unlocking Consumer Minds: Navigating Purchase Intentions thr...

引用

Technology, Engineering, and Computing Applications (ICTECA), International Conference on

作者： Dian Martha Nurrul Amanah Nurul Aini Novinda Krisna Putri Adhe Lingga Dewi Jenia Nur Soelistyoningrum Digital Business Department BINUS Business School Undergraduate Program Bina Nusantara University Semarang Indonesia Computer Science Department School of Computer Science Bina Nusantara University Semarang Indonesia

As a relatively new technology, augmented reality can help business continuity. This technology can maximize various business activities, one of which is marketing. Unfortunately, this technology is still rarely used for business needs in Indonesia. Hence, this paper aims to investigate how the technology acceptance model affects augmented reality-based marketing applications and their impact on the intention to make a purchase. The research adopted a quantitative methodology, specifically employing survey techniques. The primary data gathered underwent analysis through Partial Least Squares Structural Equation Modeling (PLS-SEM). The process of data collection included the distribution of online questionnaires to individuals actively utilizing smartphones. These participants were subsequently requested to engage with one of the five selected augmented reality marketing applications: Shopee (Beauty Cam), Sephora (Virtual Artist), IKEA Place, and Dulux (Visualizer). To uphold result reliability, the study encompassed a total of 109 respondents. The study revealed that perceived usefulness, and perceived enjoyment has a positive influence on purchase intention. Besides that, perceived ease of use has a negative influence on purchase intention. Based on the results of this research, it is important for business to be able to capture profitable opportunities from adopting augmented reality technology. So that in the future they will be able to provide the best experience for consumers.

关键词：

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：