检索结果-内蒙古大学图书馆

International Conference on Advanced Mechatronics, Intelligent Manufacture, and Industrial Automation (ICAMIMIA)

作者： Choirul Huda Yaya Heryadi Lukas Wayan Suparta Antoni Wibowo Computer Science Department Doctor of Computer Science Graduate Program Bina Nusantara University Jakarta Indonesia Computer Science Department Bina Nusantara University Jakarta Indonesia Computer Engineering Research Group (CERG) Atma Jaya University Jakarta Indonesia Computer Science Department Graduate Program Bina Nusantara University Jakarta Indonesia

ISBN: (纸本)9781665499705

The tourism industry has contributed positively for regional and global economic income in recent years. Although this sector faces a hard challenge in COVΓD-19 pandemic, it has been predicted that it will rebound and will continue in growing as in previous periods. Tourist experience should become important to be improved regarding the service level for visitors such as the improvement of hotel customer accommodation. The aim of this study is classifying the hotel customer based on Support Vector Machine (SVM). This classification conducted through classification of satisfaction level and the related factors. The result of the study presented a good accuracy and precision of SVM in conducting customer hotel classification at 93% accuracy level with error level of prediction result for about 0.27 based on Root Mean Squared Error (RSME) function. The features of customer satisfaction at this study are proposed to be important preferences for improvement of customer services in hospitality.

关键词： Support vector machines Economics Mechatronics Pandemics Tourism industry Europe Machine learning

来源：评论

学校读者我要写书评

暂无评论

Deep Reinforcement Learning for Mapless Robot Navigation Systems

Deep Reinforcement Learning for Mapless Robot Navigation Sys...

引用

IEEE Latin American Robotics Symposium, LARS

作者： Iure Rosa L. Oliveira Alexandre S. Brandão Department of Electrical Engineering Graduate Program in Computer Science Núcleo de Especialização em Robótica (NERo) Universidade Federal de Viçosa Viçosa MG Brazil

DRL has emerged as a promising approach for mobile robot navigation in unknown environments without a prior map. However, the performance of DRL methods for this task varies greatly, depending on the choice of algorithm, state representation, and training procedure. In this paper we explore various cutting-edge DRL algorithms, such as policy-, value-, and actor-critic-based approaches. Our results demonstrate the effectiveness of the ranging sensor approach, which achieves robust navigation policies capable of generalizing to unseen virtual environments with a high success rate. We combine Behavior Cloning with Imitation Learning to expedite the training process, leveraging expert demonstrations and reinforcement learning. Our methodology enables faster training while enhancing the learning efficiency and performance of the robot, obtaining better results in terms of crash and success rate, and being able to reach a cumulative reward of approximately 12000.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Artificial Intelligence in Entrepreneurial Mindfulness Using CRISP-DM Method 7

Artificial Intelligence in Entrepreneurial Mindfulness Using...

引用

7th IEEE International Conference on Information Technology and Digital Applications, ICITDA 2022

作者： Oktavius, Anthony Kevin Manalu, Sonya Rapinta Sasmoko Indrianti, Yasinta Moniaga, Jurike V. Bina Nusantara University School of Computer Science Research Interest Group in Educational Technology Jakarta Indonesia Bina Nusantara University Binus Business School Undergraduate Program Research Interest Group in Educational Technology Primary Teacher Education Department Faculty of Humanities Management Department Jakarta Indonesia Universitas Agung Podomoro Research Interest Group in Educational Technology Bina Nusantara University Entrepreneurship Department Jakarta Indonesia

ISBN: (数字)9781665461368

ISBN: (纸本)9781665461368

Entrepreneurship is an activity and process to generate added value in the economy. To support performance in carrying out entrepreneurial practices, an entrepreneur needs to develop entrepreneurial mindfulness. Entrepreneurial mindfulness is a concept based on cognitive construction so that it can influence identification and can proactively become the basis for the development of an entrepreneurial mindset. This study aims to build an artificial intelligence model that can predict the level of entrepreneurial mindfulness of users. To build an AI model, this research follows the workflow from CRISP-DM. CRISP-DM is one of the most popular lifecycles that is used for predictive analytics. There are four machine learning models that are used in this research, they are Random Forest, Adaboost, Gaussian Naïve Bayes and Deep Learning. By comparing the models using machine learning metrics, one best model can be used to be applied to the website. Accuracy, F1Score, Precision and Recall are used for evaluating machine learning models. At the end, Random Forest is used for predicting the level of mindfulness, because it has the highest values from all machine learning metrics (score of 0.95). © 2022 IEEE.

关键词： Data visualization

来源：评论

学校读者我要写书评

暂无评论

New connections between brand and environmentally sustainable businesses in the Amazon forest and local business owner’s perception

引用

Sustainable Earth Reviews 2023年第1期6卷 1-17页

作者： Luiz Diego Vidal Santos Francisco Sandro Rodrigues Holanda Pedro Vinícius Bertulino de Menezes Ana Paula Schervinski Villwock Alceu Pedrotti Catuxe Varjão de Santana Oliveira Graduate Program in Intellectual Property Science Universidade Federal de Sergipe-UFS São Cristóvão Sergipe Brasil Agronomy Engineering Department Universidade Federal de Sergipe-UFS São Cristóvão Sergipe Brasil Computer Science Department Instituto Federal de Sergipe-UFS Lagarto Sergipe Brasil

The debate surrounding entrepreneurship in the Amazon rainforest region highlights the importance of sustainable actions developed by local brands. However, limited attention has been given to entrepreneur's perspectives regarding the outcome of their applied practices. The objective of this study was to understand the entrepreneurs’ perception based on their business models concerning the connection to the Amazon brand and the aspects of sustainable use of its natural resources. The study was performed through semi-structured interviews with seven Amazonian product brands entrepreneurs utilizing Grounded Theory. The results demonstrate that entrepreneurs understand that reaching the social dimension relies on the articulation of three main factors: entrepreneurs, the native people, and the shared traditional knowledge and culture. It is observed that the political dimension is still underdeveloped in the region with limited application of its effects on products. Additionally, the economic dimension is not significantly favored by the utilization of environmentally sustainable brands. Lastly, the territorial dimension depends on the establishment of permanent protection areas, as well as agroforestry systems.

关键词： Brand Environmental sustainability Marketing Entrepreneur behavior Traditional communities

来源：评论

学校读者我要写书评

暂无评论

Multi-Instance Task in Swarm Robotics: Sorting Groups of Robots or Objects into Clusters with Minimalist Controllers

Multi-Instance Task in Swarm Robotics: Sorting Groups of Rob...

引用

IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

作者： Adilson Krischanski Yuri K. Lopes Andre B. Leal Ricardo F. Martins Roberto S.U. Rosso Department of Computer Science Santa Catarina State University (UDESC) Joinville Brazil Graduate Program in Applied Computing (PPGCAP) UDESC Brazil Department of Electrical Engineering Santa Catarina State University (UDESC) Joinville Brazil

Relying only on behaviors that emerge from simple responsive controllers; swarms of robots have been shown capable of autonomously aggregate themselves or objects into clusters without any form of communication. We push these controllers to the limit, requiring robots to sort themselves or objects into different clusters. Based on a responsive controller that maps the current reading of a line-of-sight sensor to a pair of speeds for the robots' differential wheels, we demonstrate how multiple tasks instances can be accomplished by a robotic swarm. Using the dividing rectangles approach and physics simulation, a training step optimizes the parameters of the controller guided by a fitness function. We conducted a series of systematic trials in physics-based simulation and evaluate the performance in terms of dispersion and the ratio of clustered robots/objects. Across 20 trials where 30 robots cluster themselves into 3 groups, an average of 99.83% of them were correctly clustered into their group after 300 s. Across 50 trials where 15 robots cluster 30 objects into 3 groups, an average of 61.20%, 82.87%, and 97.73% of objects were correctly clustered into their group after 600 s, 900 s, and 1800 s, respectively. The object cluster behavior scales well while the aggregation does not, the latter due to the requirement of control tuning based on the number of robots.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Q-Learning based Local Path Planning for UAVs with Different Priorities

Q-Learning based Local Path Planning for UAVs with Different...

引用

IEEE Latin American Robotics Symposium, LARS

作者： Kevin B. de Carvalho O. B. Hiago Batista Leonardo A. Fagundes-Júnior Alexandre S. Brandão Department of Electrical Engineering Graduate Program in Computer Science Núcleo de Especialização em Robótica (NERo) Universidade Federal de Viçosa Viçosa MG Brazil

Path planning is a crucial component of autonomous navigation and frequently demands different priorities such as path length, safety, or energy consumption, with the latter being particularly important in the context of unmanned autonomous vehicles. In many applications, the agent may have to react to environment shifting. Algorithms such as geometric and dynamic programming as well as techniques such as artificial potential fields have been employed to tackle this local planning problem. In recent years, machine learning has gained more evidence in many research fields due to its flexibility and generalization capabilities. In this study, we propose a Q-learning-based approach to local planning, which weighs three crucial factors- path length, safety, and energy consumption- that can be freely adjusted by the user to suit its application’s needs. The performance of the proposed method was tested in simulated static and dynamic scenarios as well as benchmarked with a baseline approach. The results show that it can perform well in both kinds of environments without struggling with the commom pitfalls of other local planning algorithms.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Legal Protection of Copyright on Copyrighted Content Downloaded Through the Internet 2020

Legal Protection of Copyright on Copyrighted Content Downloa...

引用

5th International Conference on Intelligent Information Technology, ICIIT 2020

作者： Indrawan, Arvin Stevens, Garry Brianto, Gratianus Martin Gaol, Ford Lumban Oktavia, Tanty Mobile Application and Technology-School of Computer Science Bina Nusantara University Jakarta Indonesia Computer Science Department BINUS Program-Doctor of Computer Science Bina Nusantara University Jakarta Indonesia Information Systems Program-School of Information Systems Bina Nusantara University Jakarta Indonesia

ISBN: (纸本)9781450376594

The development of the internet made new problems within the scope of copyright. The internet is used to download copyrighted content and use it without permission from the creators. The legal protection of copyright the creators of content downloaded through the internet done in a way that the administration, through the instrument of criminal law and civil lawsuit. Legal efforts to protect the copyright of songwriters downloaded via the internet are carried out in several ways, namely the Ministry of Information and Technology to play an active role in blocking sites that provide free song download facilities and prepare human resources in the field of investigation such as from the National Police The Republic of Indonesia as well as Civil Servants and other Investigators such as prosecutors and judges who have the ability and knowledge in the field of IPR as well as the role of the Copyright Council to provide knowledge of the importance of IPR. © 2020 ACM.

关键词： Copyrights

来源：评论

学校读者我要写书评

暂无评论

Value of m-commerce research: A bibliometric perspective 6

Value of m-commerce research: A bibliometric perspective

引用

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

作者： Purnomo, Agung Susanti, Triana Anisah, Hastin Umi Sari, Anita Kartika Maulana, Fairuz Iqbal Bina Nusantara University BINUS Business School Undergraduate Program Entrepreneurship Department Jakarta11480 Indonesia Sekolah Tinggi Ilmu Ekonomi Mahardhika Accounting Department Surabaya60234 Indonesia Lambung Mangkurat University Management Department Banjarmasin70123 Indonesia Management Department Sekolah Tinggi Ilmu Ekonomi Mahardhika Surabaya60234 Indonesia Bina Nusantara University School of Computer Science Computer Science Department Jakarta11480 Indonesia

ISBN: (纸本)9781665449373

Research on m-commerce with entrepreneurial spirit continues to develop but is limited to one country and/or one field. From a bibliometric perspective, this study aims to visually study mapping and research trends in the field of m-commerce on an international scale. This study used bibliometric techniques with secondary data from Scopus. Analyze and visualize data using the VOSViewer program and the analyze search results function on Scopus. This study analyzed 3, 770 scientific documents published from 1996 to 2020. According to research, the Beijing University of Posts and Telecommunications and Upkar Varshney has the most active institutions and individual scientists in m-commerce research. computer science and Lecture Notes in computer science were the most widely subject area and publication disseminated of m-commerce. There were nine categories of maps of collaborative researchers from around the world. Based on the identification of a collection of knowledge accumulated from over twenty-four years of publication, this research proposes a grouping of m-commerce research themes: Telecommunication, Application of commerce, Social networking, Sales, Electronic commerce, Technology, Smartphones, abbreviated as TASSETS research themes. © 2021 IEEE.

关键词： Social sciences computing

来源：评论

学校读者我要写书评

暂无评论

Evolution Of SARS-CoV-2 In The Presence Of Vaccines.

Evolution Of SARS-CoV-2 In The Presence Of Vaccines.

引用

IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

作者： Vishwajeet Marathe Changhui Yan Department of Computer Scienceline North Dakota State University Fargo ND USA Department of Computer Science Genomics Phenomics and Bioinformatics Graduate Program North Dakota State University Fargo ND USA

ISBN: (数字)9781665468190

ISBN: (纸本)9781665468206

The COVID pandemic has caused tremendous loss worldwide. Now vaccines are the primary weapon to combat the pandemic. Understanding how SARS-CoV-2, the virus that causes the COVID, may mutate in the presence of the vaccines is critical for designing drugs and vaccines for future variants of the virus. In this study, we investigated the numbers of mutations that SARS-CoV-2 accumulated on each protein over time. We found that different proteins of the virus accumulated different levels of mutations and their mutation rates changed over time following different patterns. We also presented evidence that the mutation of the Spike protein might have been suppressed by the vaccines. This is the first time that such a relation was reported based on real world data. Although the discovery was not meant to be conclusive, this study sheds light onto how the virus may response to the vaccines. If confirmed by further studies, the discovery will have significant impacts on many fields, including drug and vaccine designs.

关键词： Proteins Drugs COVID-19 Protein engineering Pandemics Weapons Vaccines

来源：评论

学校读者我要写书评

暂无评论

Gramian Angular Field and Recurrence Plots as Feature Engineering Techniques on Residential Appliances Labeling: A Comparative Analysis

Gramian Angular Field and Recurrence Plots as Feature Engine...

引用

IEEE PES Conference on Innovative Smart Grid Technologies (ISGT Latin America)

作者： J. S. Corrêa D. L. Cavalca R. A. S. Fernandes Department of Electrical Engineering Federal University of São Carlos São Carlos Brazil Graduate Program in Computer Science Federal University of São Carlos São Carlos Brazil

The demand for electricity has increased rapidly and, for this reason, there is a need to efficiently use it. In this way, the identification of residential appliances enables such use for consumers and is crucial for demand response programs. Due to the variety of appliances in homes and their dynamic behavior, the search for patterns that explain and allow the correct labeling of temporal windows becomes a challenging task, since a window may contain more than one appliance. In this sense, the present paper proposes the transformation of time-series into images, using Gramian angular field and recurrence plots. The dataset composed of images was submitted to the labeling process, considering the use of convolutional neural networks. A comparative analysis was performed using the UK-DALE dataset. The results demonstrated the effectiveness of the proposed feature engineering stage, since the labeling task reached F1-scores until 94 %.

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：