Proceedings of the ... International Conference on Digital Government Research. International Conference on Digital Government Research最新文献_第2页

Integrative Use of Computer Vision and Unmanned Aircraft Technologies in Public Inspection: Foreign Object Debris Image Collection. 计算机视觉与无人机技术在公共检查中的综合应用:异物碎片图像收集。

Proceedings of the ... International Conference on Digital Government Research. International Conference on Digital Government Research Pub Date : 2021-06-01 Epub Date: 2021-06-09 DOI: 10.1145/3463677.3463743

Travis J E Munyer, Chenyu Huang, Daniel Brinkman, Xin Zhong

{"title":"Integrative Use of Computer Vision and Unmanned Aircraft Technologies in Public Inspection: Foreign Object Debris Image Collection.","authors":"Travis J E Munyer, Chenyu Huang, Daniel Brinkman, Xin Zhong","doi":"10.1145/3463677.3463743","DOIUrl":"https://doi.org/10.1145/3463677.3463743","url":null,"abstract":"<p><p>Unmanned Aircraft Systems (UAS) have become an important resource for public service providers and smart cities. The purpose of this study is to expand this research area by integrating computer vision and UAS technology to automate public inspection. As an initial case study for this work, a dataset of common foreign object debris (FOD) is developed to assess the potential of light-weight automated detection. This paper presents the rationale and creation of this dataset. Future iterations of our work will include further technical details analyzing experimental implementation. At a local airport, UAS and portable cameras are used to collect the data contained in the initial version of this dataset. After collecting these videos of FOD, they were split into individual frames and stored as several thousand images. These frames are then annotated following standard computer vision format and stored in a folder-structure that reflects our creation method. The dataset annotations are validated using a custom tool that could be abstracted to fit future applications. Initial detection models were successfully created using the famous You Only Look Once algorithm, which indicates the practicality of the proposed data. Finally, several potential scenarios that could utilize either this dataset or similar methods for other public service are presented.</p>","PeriodicalId":93488,"journal":{"name":"Proceedings of the ... International Conference on Digital Government Research. International Conference on Digital Government Research","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1145/3463677.3463743","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39873584","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

Lessons from China - The Formation of a Social Credit System: Profiling, Reputation Scoring, Social Engineering 中国的经验——社会信用体系的形成:分析、声誉评分、社会工程

Proceedings of the ... International Conference on Digital Government Research. International Conference on Digital Government Research Pub Date : 2020-06-15 DOI: 10.1145/3396956.3396962

P. Langer

{"title":"Lessons from China - The Formation of a Social Credit System: Profiling, Reputation Scoring, Social Engineering","authors":"P. Langer","doi":"10.1145/3396956.3396962","DOIUrl":"https://doi.org/10.1145/3396956.3396962","url":null,"abstract":"Against the background of China's Social Credit policies to foster pro-social behavior, this study provides a conceptual underpinning for such incentive schemes by defining their underlying elements and parameters based on official Chinese government statements and related literature. The first element is the creation of digital profiles of individuals based on an interpretation of real-world interaction and behavior by combining various data sets to gain an extensive description of each character. The second element is the quantification of those profiles by defining a multifaceted construct of ‘social reputation’ and transferring the derived profile into a single score. The third element is the delineation of pro-social behavior. The two central control parameters are the policy for the allocation of merit scores as well as the determination of incentives and sanctions based on respective scores. Each element is examined and discussed in the context of current independent applications in different social settings. Within this frame of reference, the study provides a framework of potential effects that a social credit system may have on public and private life.","PeriodicalId":93488,"journal":{"name":"Proceedings of the ... International Conference on Digital Government Research. International Conference on Digital Government Research","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89363960","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

Big Data, Anonymisation and Governance to Personal Data Protection 大数据、匿名化和治理到个人数据保护

Proceedings of the ... International Conference on Digital Government Research. International Conference on Digital Government Research Pub Date : 2020-06-15 DOI: 10.1145/3396956.3398253

Artur Potiguara Carvalho, Fernanda Potiguara Carvalho, E. Canedo, Pedro Henrique Potiguara Carvalho

引用次数: 6

Using MCDA for Selecting Criteria of LGPD Compliant Personal Data Security 运用MCDA选择符合LGPD的个人资料保安标准

Proceedings of the ... International Conference on Digital Government Research. International Conference on Digital Government Research Pub Date : 2020-06-15 DOI: 10.1145/3396956.3398252

Renato Carauta Ribeiro, E. Canedo

{"title":"Using MCDA for Selecting Criteria of LGPD Compliant Personal Data Security","authors":"Renato Carauta Ribeiro, E. Canedo","doi":"10.1145/3396956.3398252","DOIUrl":"https://doi.org/10.1145/3396956.3398252","url":null,"abstract":"The protection of personal data is a problem that has been discussed in several countries. Most countries create laws and regulations to protect fundamental rights and privacy. The main data protection regulation approved by the European Union (EU) is the General Data Protection Regulation (GDPR). This regulation regulates how personal data should be protected and how data may be shared between other countries. Brazil recently enacted the Brazilian General Data Protection Law (LGPD) with various standards for security and privacy of personal data. This paper aims to select the best alternatives for the implementation of security criteria at the University of Brasília (UnB). We use the Multiple Criteria Decision Analysis (MCDA) process with the Preference Ranking Organization Method for Enriched Evaluation (PROMETHEE) II method to select the best to worst alternatives, according to the criteria selected in the MCDA process using the method Analytic Hierarchy Process (AHP). The results found demonstrate that the Data Privacy Risks criterion is the highest priority criterion for the implementation of personal data security at UnB since LGPD’s main objective is to keep personal data private and accessible only to the data subject. Furthermore, it was found that the LGPD principles with the highest implementation priority were: 0.28 Priority Security, 0.26 Priority Needs and 0.25 Priority Prevention.","PeriodicalId":93488,"journal":{"name":"Proceedings of the ... International Conference on Digital Government Research. International Conference on Digital Government Research","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72570853","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 12

dg.o '20: The 21st Annual International Conference on Digital Government Research, Seoul, Republic of Korea, June 15-19, 2020 dg。2020年6月15日至19日，第21届数字政府研究国际会议在韩国首尔举行

Proceedings of the ... International Conference on Digital Government Research. International Conference on Digital Government Research Pub Date : 2020-01-01 DOI: 10.1145/3396956

引用次数: 0

E-government use via social media as a tool to influences young people's trust in government: An empirical study in a Chinese Municipality 通过社交媒体使用电子政务影响年轻人对政府的信任:中国一个城市的实证研究

Proceedings of the ... International Conference on Digital Government Research. International Conference on Digital Government Research Pub Date : 2020-01-01 DOI: 10.1145/3396956.3398250

Banghui Zhang, Yonghan Zhu, Guitao Kou

引用次数: 0

Introducing and positioning digital government 引入和定位数字政府

Proceedings of the ... International Conference on Digital Government Research. International Conference on Digital Government Research Pub Date : 2019-07-17 DOI: 10.4324/9781315622408-1

M. Lips

引用次数: 0

Digital government strategy, leadership and governance 数字政府战略、领导和治理

Proceedings of the ... International Conference on Digital Government Research. International Conference on Digital Government Research Pub Date : 2019-07-17 DOI: 10.4324/9781315622408-10

M. Lips

引用次数: 0

Open and transparent government 公开透明的政府

Proceedings of the ... International Conference on Digital Government Research. International Conference on Digital Government Research Pub Date : 2019-07-17 DOI: 10.4324/9781315622408-5

M. Lips

引用次数: 1

Participatory democracy and public engagement 参与式民主和公众参与

Proceedings of the ... International Conference on Digital Government Research. International Conference on Digital Government Research Pub Date : 2019-07-17 DOI: 10.4324/9781315622408-7

M. Lips

引用次数: 0