2021 6th International Conference on Computer Science and Engineering (UBMK)最新文献_第3页

Small Object Detection and Tracking from Aerial Imagery 基于航空图像的小目标检测与跟踪

2021 6th International Conference on Computer Science and Engineering (UBMK) Pub Date : 2021-09-15 DOI: 10.1109/UBMK52708.2021.9558923

M. Aktaş, H. Ateş

{"title":"Small Object Detection and Tracking from Aerial Imagery","authors":"M. Aktaş, H. Ateş","doi":"10.1109/UBMK52708.2021.9558923","DOIUrl":"https://doi.org/10.1109/UBMK52708.2021.9558923","url":null,"abstract":"Object detection and tracking from airborne imagery draws attention to the parallel development of UAV systems and computer vision technologies. Aerial imagery has its own unique challenges that differ from the training set of modern-day object detectors, since it is made of images of larger areas compared to the regular datasets and the objects are very small on the contrary. These problems do not allow us to use common object detection models. The main purpose of this paper is to make modifications to the Faster-RCNN (FRCNN) model, then leverage it for small object detection and tracking from the aerial imagery. It is aimed to use both spatial and temporal information from the image sequence, as appearance information alone is insufficient. The anchors in the Region Proposal Network (RPN) stage will be adjusted for small objects. Also, intersection over union (IoU) is optimized for small objects. After improving detection performance, The DeepSORT algorithm is inserted right after the Region of Interest (ROI Head) to track the objects. The results show that the proposed model has good performance on the VisDrone-2019 dataset. Detection performance becomes considerably better than the original FRCNN and the algorithms that are evaluated in the VisDrone-2019 VID challenge. After completing the proposed modifications, the AP-AP50 values reached 14.07-29.41 from 8.08-18.70, which means approximately 75% improvement.","PeriodicalId":106516,"journal":{"name":"2021 6th International Conference on Computer Science and Engineering (UBMK)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114723978","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: 3

A Benchmark Study on the Use of WebRTC Technology for Multimedia IoT 多媒体物联网中使用WebRTC技术的基准研究

2021 6th International Conference on Computer Science and Engineering (UBMK) Pub Date : 2021-09-15 DOI: 10.1109/UBMK52708.2021.9558980

M. Seker, H. Kilinç

引用次数: 1

Navigation Patterns of a Hybrid Scanning Agent using Uninformed and Informed Search Algorithms for Reactive and Deliberative Behaviors 基于非知情和知情搜索算法的混合扫描代理的导航模式

2021 6th International Conference on Computer Science and Engineering (UBMK) Pub Date : 2021-09-15 DOI: 10.1109/UBMK52708.2021.9558897

Hasibe Çoruh, İremnur Çivioğlu, Cevda Nur Öztürk

{"title":"Navigation Patterns of a Hybrid Scanning Agent using Uninformed and Informed Search Algorithms for Reactive and Deliberative Behaviors","authors":"Hasibe Çoruh, İremnur Çivioğlu, Cevda Nur Öztürk","doi":"10.1109/UBMK52708.2021.9558897","DOIUrl":"https://doi.org/10.1109/UBMK52708.2021.9558897","url":null,"abstract":"Hybrid agent architectures enable effective control layering the agent functions according to the sophistication they require. In this study, assuming a partially observable and deterministic environment, reactive and deliberative behaviors of a hybrid scanning agent were controlled using some uninformed and informed search algorithms, respectively. As the reactive layer decided the agent actions online in an unknown environment, a map of the environment was constructed in parallel. When the reactive layer failed to find a proper action, the deliberative layer proposed a solution offline using the constructed map so that the agent could continue its scanning task. The navigation patterns that were produced with the adapted algorithms in the reactive and deliberative layers were analyzed. The results showed that depth-first search (DFS) and breadth-first search (BFS) algorithms can be used as reactive motion planners for scanning an environment in zigzag and spiral patterns. Simulations in 25 grid-based environments with different sizes and varying percentages of obstacles yielded that running A* algorithm as a deliberative planner, the agent could completely scan the environments with equal successes for all different modes of the developed scanning algorithms. The horizontal mode of the DFS-based scanning algorithm had the least rescan rate on average.","PeriodicalId":106516,"journal":{"name":"2021 6th International Conference on Computer Science and Engineering (UBMK)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125061662","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

A Comparative Evaluation of AMQP, MQTT and HTTP Protocols Using Real-Time Public Smart City Data 基于实时公共智慧城市数据的AMQP、MQTT和HTTP协议的比较评估

2021 6th International Conference on Computer Science and Engineering (UBMK) Pub Date : 2021-09-15 DOI: 10.1109/UBMK52708.2021.9559032

Cavide Balkı Gemirter, Çağatay Şenturca, S. Baydere

{"title":"A Comparative Evaluation of AMQP, MQTT and HTTP Protocols Using Real-Time Public Smart City Data","authors":"Cavide Balkı Gemirter, Çağatay Şenturca, S. Baydere","doi":"10.1109/UBMK52708.2021.9559032","DOIUrl":"https://doi.org/10.1109/UBMK52708.2021.9559032","url":null,"abstract":"MQTT, AMQP and HTTP are messaging protocols that are commonly used for communicating with resource-constrained IoT devices. HTTP is the standard reference protocol for the REST transportation based on the request/response model, whereas both AMQP and MQTT are message-oriented protocols that use the publish/subscribe model. Message-oriented protocols enhance some of the shortcomings of the complex HTTP protocol by using asynchronous communication, changing the design from a document-centric to a data-centric approach and decreasing the header and message sizes. Although significant technical detail is present on these protocols, their real-time performance is insufficiently elaborated. In this paper, we present an experimental evaluation of these protocols conducted in a homogeneous IoT testbed using a real-time Smart City public data set. We provide the behavioral differences between messaging-based protocols and the REST-based HTTP protocol in terms of message latency and CPU usage for varying traffic loads and message sizes. The results showed that MQTT and AMQP are four times faster than HTTP protocol when comparing the message sent latencies. HTTP uses four times more CPU than the AMQP and MQTT protocols. In summary, message-oriented protocols give more stable and improved results as compared to the REST model-based HTTP protocol for all evaluation scenarios.","PeriodicalId":106516,"journal":{"name":"2021 6th International Conference on Computer Science and Engineering (UBMK)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121945733","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: 8

Apk2Img4AndMal: Android Malware Detection Framework Based on Convolutional Neural Network Apk2Img4AndMal:基于卷积神经网络的Android恶意软件检测框架

2021 6th International Conference on Computer Science and Engineering (UBMK) Pub Date : 2021-09-15 DOI: 10.1109/UBMK52708.2021.9558983

Oğuz Emre Kural, Durmuş Özkan Şahin, S. Akleylek, E. Kılıç, Murat Ömüral

引用次数: 2

PSO based Blockchain Committee Member Selection 基于PSO的区块链委员会成员选择

2021 6th International Conference on Computer Science and Engineering (UBMK) Pub Date : 2021-09-15 DOI: 10.1109/UBMK52708.2021.9559004

Marwan S. Jameel, Oguz Yayla

引用次数: 1

Analysis of RepVGG on Small Sized Dandelion Images Dataset in terms of Transfer Learning, Regularization, Spatial Attention as well as Squeeze and Excitation Blocks 基于小型蒲公英图像数据集的RepVGG迁移学习、正则化、空间注意、挤压块和激励块分析

2021 6th International Conference on Computer Science and Engineering (UBMK) Pub Date : 2021-09-15 DOI: 10.1109/UBMK52708.2021.9558941

M. Nergiz

{"title":"Analysis of RepVGG on Small Sized Dandelion Images Dataset in terms of Transfer Learning, Regularization, Spatial Attention as well as Squeeze and Excitation Blocks","authors":"M. Nergiz","doi":"10.1109/UBMK52708.2021.9558941","DOIUrl":"https://doi.org/10.1109/UBMK52708.2021.9558941","url":null,"abstract":"The automated weed detection is an important research field in terms of agricultural productivity and economy. This study aims to apply RepVGG which is a new deep learning architecture developed on PyTorch framework and has promising results when trained and tested on ImageNet1K dataset. 920 images of the small sized Dandelion Images dataset is used for this study. Pretrained vanilla, pretrained and dropout regularized, squeeze and excitation block added and spatial attention block added versions of RepVGG are tested on the dataset. VGG16 method is also applied to the dataset and the results of the MobileNetV2 method is taken from the Kaggle Competition to get an insight about the baseline results of the classical state of the art models. The proposed RepVGG modifications could not outperform the state of the art methods on this dataset but the effect of the modifications are deeply analyzed and the best configuration is obtained by Squeeze and Excitation block added RepVGG-A0 architecture which is trained from scratch for 5 epochs and provided results of 0,875, 0,665, 0,89 and 0,74 for Accuracy, Recall, Precision and F1 metrics respectively.","PeriodicalId":106516,"journal":{"name":"2021 6th International Conference on Computer Science and Engineering (UBMK)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130812776","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

A Random Subspace Based Approach for Stress Classification from Smartphone Data 基于随机子空间的智能手机应力分类方法

2021 6th International Conference on Computer Science and Engineering (UBMK) Pub Date : 2021-09-15 DOI: 10.1109/UBMK52708.2021.9558896

Ensar Arif Sağbaş, Serdar Çorukoğlu, Serkan Balli

引用次数: 0

A New Approach to Use Modern Object Detection Methods More Efficiently on CCTV Systems 在闭路电视系统中更有效地利用现代目标检测方法的新途径

2021 6th International Conference on Computer Science and Engineering (UBMK) Pub Date : 2021-09-15 DOI: 10.1109/UBMK52708.2021.9558899

Oguzhan Can, Sezai Burak Kantarci, Gozde Unal

{"title":"A New Approach to Use Modern Object Detection Methods More Efficiently on CCTV Systems","authors":"Oguzhan Can, Sezai Burak Kantarci, Gozde Unal","doi":"10.1109/UBMK52708.2021.9558899","DOIUrl":"https://doi.org/10.1109/UBMK52708.2021.9558899","url":null,"abstract":"DL architectures rely on extensive usage on powerful computer systems to operate in real-time. Therefore, cooperative and constructive optimizations should be made in both architecture and software parts of the related DL system. In this work, input system of the YOLO architecture is modified to accept several sources at the same time with two effective methods to increase the efficiency of the hardware system. First method is to design a scheduler which will allow YOLO architecture to process several input sources sequentially, allowing the architecture to use its full potential. Second method is to design a preprocessing algorithm to combine 4 or 9 input sources in a single input source as a 2x2 or 3x3 image matrix. In this way, YOLO architecture processes four or nine times more images in the same time, increasing its practical frame per second (FPS) value by four or nine folds. Experiment results on our machine show that the used YOLO architecture can process 3 input sources at the same time with only minimal loss of accuracy of 0.002 in terms of Mean Average Precision (mAP) while using the proposed scheduler. Additionally, using 4 inputs combined increases the practical FPS value from 31 to 120 and using 9 inputs increases the practical FPS value from 13 to 108, all while decreasing the mAP value by only 0.008 for 4 inputs and by only 0.034 for 9 inputs. Considering the obtained FPS values and achieved hardware efficiency, these minimal losses of mAP are easily acceptable.","PeriodicalId":106516,"journal":{"name":"2021 6th International Conference on Computer Science and Engineering (UBMK)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128314310","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

A Review on Artificial Intelligence and Cyber Security 人工智能与网络安全综述

2021 6th International Conference on Computer Science and Engineering (UBMK) Pub Date : 2021-09-15 DOI: 10.1109/UBMK52708.2021.9558949

A. Okutan, Can Eyüpoğlu

引用次数: 0