EPiC series in computing最新文献_第6页

Hearthstone Battleground: An AI Assistant with Monte Carlo Tree Search 炉石战场:一个AI助手与蒙特卡洛树搜索

EPiC series in computing Pub Date : 2022-01-01 DOI: 10.29007/mn6n

Namuunbadralt Zolboot, Quinn Johnson, Dakun Shen, Alexander Redei

引用次数: 2

Dilated Convolution to Capture Scale Invariant Context in Crowd Density Estimation 在人群密度估计中捕获尺度不变上下文的扩展卷积

EPiC series in computing Pub Date : 2022-01-01 DOI: 10.29007/qdm6

Thishen Packirisamy, Richard Klein

{"title":"Dilated Convolution to Capture Scale Invariant Context in Crowd Density Estimation","authors":"Thishen Packirisamy, Richard Klein","doi":"10.29007/qdm6","DOIUrl":"https://doi.org/10.29007/qdm6","url":null,"abstract":"Crowd Density Estimation (CDE) can be used ensure safety of crowds by preventing stampedes or reducing spread of disease which was made urgent with the rise of Covid-19. CDE a challenging problem due to problems such as occlusion and massive scale varia- tions. This research looks to create, evaluate and compare different approaches to crowd counting focusing on the ability for dilated convolution to extract scale-invariant contex- tual information. In this work we build and train three different model architectures: a Convolutional Neural Network (CNN) without dilation, a CNN with dilation to capture context and a CNN with an Atrous Spatial Pyramid Pooling (ASPP) layer to capture scale-invariant contextual features. We train each architecture multiple times to ensure statistical significance and evaluate them using the Mean Squared Error (MSE), Mean Average Error (MAE) and Grid Average Mean Absolute Error (GAME) on the Shang- haiTech and UCF CC 50 datasets. Comparing the results between approaches we find that applying dilated convolution to more sparse crowd images with little scale variations does not make a significant difference but, on highly congested crowd images, dilated con- volutions are more resilient to occlusion and perform better. Furthermore, we find that adding an ASPP layer improves performance in the case when there are significant differ- ences in the scale of objects within the crowds. The code for this research is available at https://github.com/ThishenP/crowd-density.","PeriodicalId":93549,"journal":{"name":"EPiC series in computing","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69449602","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: 0

Verifying and Assessing a Performance of an Automatic Vacuum Robot under Different Room Conditions 不同室内条件下自动真空机器人性能的验证与评估

EPiC series in computing Pub Date : 2022-01-01 DOI: 10.29007/w64v

Thitivatr Patanasakpinyo, Natcha Chen, Natthikarn Singsornsri, Nattapach Kanchanaporn

{"title":"Verifying and Assessing a Performance of an Automatic Vacuum Robot under Different Room Conditions","authors":"Thitivatr Patanasakpinyo, Natcha Chen, Natthikarn Singsornsri, Nattapach Kanchanaporn","doi":"10.29007/w64v","DOIUrl":"https://doi.org/10.29007/w64v","url":null,"abstract":"Artificial intelligence has become the mainstream technology. Automatic vacuum clean- ers or robot vacuums change the field of vacuum cleaners with an involvement of an au- tomation, which is a technology that makes people’s daily life easier and more economical. Robot vacuums were invented by the Massachusetts Institute of Technology in 1990. To- day, robot vacuums are successful and have many users all around the world. More than 2.5 million families live in 60 countries use them. However, a question that is still being asked about robot vacuum is the efficiency of room coverage and the ability to remem- ber the redundant areas that have already been cleaned. The answers to these questions are unclear, as manufacturers do not reveal the algorithms that are learned by robots, or sometimes they just partially did, due to business reasons. This study was proposed in response to the above questions by using our mobile application for tracking and recording actual geolocations of the robot walking across various points of the room by extracting the real geolocation data from satellites consisting of a latitude and a longitude under multiple different room conditions. Once the robot has cleaned throughout the room, the applica- tion reported all areas that the robot has cleaned for analysis purpose. We presented the actual route map, the coverage area map, and the duplicate area map of the robot that potentially led the further understanding of robot vacuum’s effectiveness.","PeriodicalId":93549,"journal":{"name":"EPiC series in computing","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69452920","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: 0

An Application for Simulating Patient Handoff Using 360 Video and Eye Tracking in Virtual Reality 在虚拟现实中利用360视频和眼动追踪模拟病人交接的应用

EPiC series in computing Pub Date : 2022-01-01 DOI: 10.29007/82j6

Christopher Lewis, Sven Diaz-Juarez, Steven J. Anbro, Alison J. Szarko, Ramona Houmanfar, Laura Crosswell, Michelle Rebaleati, Luka Starmer, Frederick Harris

引用次数: 0

Signing made easy – hiding complexity of eSignature solutions in a black box 签名变得容易——在黑盒中隐藏签名解决方案的复杂性

EPiC series in computing Pub Date : 2022-01-01 DOI: 10.29007/7knd

Janina Mincer-Daszkiewicz, Tadeusz Gąsior

{"title":"Signing made easy – hiding complexity of eSignature solutions in a black box","authors":"Janina Mincer-Daszkiewicz, Tadeusz Gąsior","doi":"10.29007/7knd","DOIUrl":"https://doi.org/10.29007/7knd","url":null,"abstract":"For many years Polish Higher Education Institutions (HEIs) have been actively incorporating digital solutions. Through the financial support of the state, as part of the Digital Poland program (carried out from 2014-2020), universities deployed student management systems and the Ministry of Science and Higher Education built central systems collecting data from HEIs. Changes in law introduced in 2019 in higher education, opened the way towards a fully electronic equivalent of the so-called student records folder.In early 2020, the world faced the COVID-19 pandemic which accelerated the digitalization process advancing forward the transition to remote handling of student information. As a result, many provisions were introduced by the Ministry of Science and Higher Education, which sanctioned the replacement of paper documents with electronic ones, provided that their authentication, integrity, non-repudiation and confidentiality are preserved.The amount and diversity of documents produced in HEIs is substantial. Many of them need to be signed: both for internal use (e.g. student records supporting study processes) and for external use (e.g. documents on student achievements required for further studies or employment). Furthermore, some of these documents travel across borders due to the increasing internationalization of higher education in Europe and beyond.Polish HEIs range in size from 1,000 to almost 50,000 students and often share the same student management system. Therefore, they would benefit from easy-to-share, customizable, simple to install and use, low-cost solution for storing digital certificates, signing documents and validating their signatures.The subject of this paper is the eSignForStudy project which addresses these needs. The objective of the project is to design and develop a highly configurable eSignature solution to be used in the Polish higher education area, interoperable with Erasmus Without Paper Network for cross-border digital document validation.","PeriodicalId":93549,"journal":{"name":"EPiC series in computing","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69423437","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: 1

Performance Study of Software-based Encrypting Data at Rest 基于软件的静态数据加密性能研究

EPiC series in computing Pub Date : 2022-01-01 DOI: 10.29007/1j1p

Luka Daoud, Hingkwan Huen

引用次数: 1

Towards an African cybersecurity community of practice 建立一个非洲网络安全实践社区

EPiC series in computing Pub Date : 2022-01-01 DOI: 10.29007/cv1x

Rutendo Chibanda, S. Kabanda

引用次数: 0

SARS-CoV-2 variants classification and characterization SARS-CoV-2变体的分类和表征

EPiC series in computing Pub Date : 2022-01-01 DOI: 10.29007/5qpk

Sofia Borgato, Marco Bottino, Marta Lovino, E. Ficarra

{"title":"SARS-CoV-2 variants classification and characterization","authors":"Sofia Borgato, Marco Bottino, Marta Lovino, E. Ficarra","doi":"10.29007/5qpk","DOIUrl":"https://doi.org/10.29007/5qpk","url":null,"abstract":"As of late 2019, the SARS-CoV-2 virus has spread globally, giving several variants over time. These variants, unfortunately, differ from the original sequence identified in Wuhan, thus risking compromising the efficacy of the vaccines developed. Some software has been released to recognize currently known and newly spread variants. However, some of these tools are not entirely automatic. Some others, instead, do not return a detailed characterization of all the mutations in the samples. Indeed, such characterization can be helpful for biologists to understand the variability between samples. This paper presents a Machine Learning (ML) approach to identifying existing and new variants completely automatically. In addition, a detailed table showing all the alterations and mutations found in the samples is provided in output to the user. SARS-CoV-2 sequences are obtained from the GISAID database, and a list of features is custom designed (e.g., number of mutations in each gene of the virus) to train the algorithm. The recognition of existing variants is performed through a Random Forest classifier while identifying newly spread variants is accomplished by the DBSCAN algorithm. Both Random Forest and DBSCAN techniques demonstrated high precision on a new variant that arose during the drafting of this paper (used only in the testing phase of the algorithm). Therefore, researchers will significantly benefit from the proposed algorithm and the detailed output with the main alterations of the samples.","PeriodicalId":93549,"journal":{"name":"EPiC series in computing","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69422483","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: 0

Sarcasm Detection with External Entity Information 基于外部实体信息的讽刺检测

EPiC series in computing Pub Date : 2022-01-01 DOI: 10.29007/zbzq

Xu Xufei, Shimada Kazutaka

引用次数: 0

Simulation Based Evaluation of Bit-Interaction Side-Channel Leakage on RISC-V Processor 基于仿真的RISC-V处理器位交互侧信道泄漏评估

EPiC series in computing Pub Date : 2021-01-01 DOI: 10.29007/5wq7

Tamon Asano, T. Sugawara

{"title":"Simulation Based Evaluation of Bit-Interaction Side-Channel Leakage on RISC-V Processor","authors":"Tamon Asano, T. Sugawara","doi":"10.29007/5wq7","DOIUrl":"https://doi.org/10.29007/5wq7","url":null,"abstract":"Masking is a promising countermeasure against side-channel attack, and share slic- ing is its efficient software implementation that stores all the shares in a single register to exploit the parallelism of Boolean instructions. However, the security of share slicing relies on the assumption of bit-independent leakage from those instructions. Gao et al. recently discovered a violation causing a security degradation, called the bit-interaction leakage, by experimentally evaluating ARM processors. However, its causality remained open because of the blackbox inside the target processors. In this paper, we approach this problem with simulation-based side-channel leakage evaluation using a RISC-V processor. More specifically, we use Western Digital’s open-source SweRV EH1 core as a target plat- form and measure its side-channel traces by running logic simulation and counting the number of signal transitions in the synthesized ALU netlist. We successfully replicate the bit-interaction leakage from a shifter using the simulated traces. By exploiting the flexi- bility of simulation-based analysis, we positively verify Gao et al.’s hypothesis on how the shifter causes the leakage. Moreover, we discover a new bit-interaction leakage from an arithmetic adder caused by carry propagation. Finally, we discuss hardware and software countermeasures against the bit-interaction leakage.","PeriodicalId":93549,"journal":{"name":"EPiC series in computing","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69422270","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: 0