2019 International Conference on Advanced Information Technologies (ICAIT)最新文献

Fill-a-Pix Puzzle as a SAT Problem 填字拼图作为SAT问题

2019 International Conference on Advanced Information Technologies (ICAIT) Pub Date : 2019-11-01 DOI: 10.1109/AITC.2019.8920898

Aye Myat, Khine Khine Htwe, N. Funabiki

引用次数: 1

Evaluation of TCP and UDP Traffic over Software-Defined Networking 软件定义网络中TCP和UDP流量的评估

2019 International Conference on Advanced Information Technologies (ICAIT) Pub Date : 2019-11-01 DOI: 10.1109/AITC.2019.8921086

May Thae Naing, Thiri Thitsar Khaing, A. Maw

{"title":"Evaluation of TCP and UDP Traffic over Software-Defined Networking","authors":"May Thae Naing, Thiri Thitsar Khaing, A. Maw","doi":"10.1109/AITC.2019.8921086","DOIUrl":"https://doi.org/10.1109/AITC.2019.8921086","url":null,"abstract":"In Software-Defined Networking (SDN), the decoupling of control and data planes brings advantages in terms of logically centralized control and application programming. This paper presents an analysis of the SDN traffic flow based on the transmission control protocol (TCP) and the user datagram protocol (UDP) generated from source host to the destination host over SDN infrastructure. For system evaluation, the Mininet Emulator is used to build the SDN infrastructure, the Network Performance Measurement Tool (iPerf) to generate the traffic according to the specified command-line options, and the Wireshark packet analyzer analyzes the protocol especially TCP and UDP. The analysis shows throughput and packet loss in three network topologies: single, linear, and custom tree topology. According to the evaluation results, the throughput of TCP falls off dramatically during the retransmission sequence. In the evaluation of UDP traffic, the single topology can handle the packet loss, the linear topology can take place 10 ~ 30 % packet loss and the custom tree topology can only occur a negligible amount of packet loss in two testing environments.","PeriodicalId":388642,"journal":{"name":"2019 International Conference on Advanced Information Technologies (ICAIT)","volume":"106 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129584731","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: 14

Melanoma Classification on Dermoscopy Skin Images using Bag Tree Ensemble Classifier 基于袋树集成分类器的皮肤镜皮肤图像黑色素瘤分类

2019 International Conference on Advanced Information Technologies (ICAIT) Pub Date : 2019-11-01 DOI: 10.1109/AITC.2019.8920908

N. Lynn, Nu War

{"title":"Melanoma Classification on Dermoscopy Skin Images using Bag Tree Ensemble Classifier","authors":"N. Lynn, Nu War","doi":"10.1109/AITC.2019.8920908","DOIUrl":"https://doi.org/10.1109/AITC.2019.8920908","url":null,"abstract":"Melanoma classification on dermoscopy skin images is a demanding work as a result of the low contrast of the lesion images, the intra-structural variants of melanomas, the much visually likeliness level of whether melanoma or non-melanoma lesions, and the covering of hair and ruler marker artifacts. In this study, the malignant melanoma skin cancer classification system is proposed with the aid of correctly classify melanoma skin cancer. The system involves three main steps: segmentation, feature extraction and classification. Ahead of the segmentation process, the preprocessing skin lesion images is processed for getting rid of the covered hair artifacts. In the segmentation step, the input preprocessed lesion image is segmented by using the proposed texture filter-based segmentation method. Then, the extraction of features with the underlying ABCD (Asymmetry, Border, Color, Differential Texture) dermatology rules using shape, edge, colored and textural features are computed from the segmented region. Lastly, the extracted features are classified to identify if the skin image is malignant melanoma or non-melanoma with the use of bag tree ensemble classifier. The system performance is evaluated with the use of the benchmarking datasets: PH2 dataset, ISBI2016 dataset and ISIC2017 dataset. According to the experimental results, the proposed design allows for both reliable classification of real world dermoscopy images and feasible operation time with today’s standard PC computing platforms. To address the class imbalance in the dataset and to yield the improved classification performance, the experiments are also analyzed not only on original imbalanced dataset but also on balancing datasets: undersampled and oversampled datasets. The system works well and provides both high sensitivity and specificity according to the experimental results on the oversampled dataset with bag tree ensemble classifier to leading to statistically better performance compared to original imbalanced dataset.","PeriodicalId":388642,"journal":{"name":"2019 International Conference on Advanced Information Technologies (ICAIT)","volume":"103 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126759081","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: 5

C2Ont: An OWL Ontology Learning Approach from Apache Cassandra 基于Apache Cassandra的OWL本体学习方法

2019 International Conference on Advanced Information Technologies (ICAIT) Pub Date : 2019-11-01 DOI: 10.1109/AITC.2019.8921025

N. Soe, Tin Tin Yee, Ei Chaw Htoon

引用次数: 1

A Consistent Replica Selection Approach for Distributed Key-Value Storage System 分布式键值存储系统的一致性副本选择方法

2019 International Conference on Advanced Information Technologies (ICAIT) Pub Date : 2019-11-01 DOI: 10.1109/AITC.2019.8921008

Thazin Nwe, Tin Tin Yee, Ei Chaw Htoon, Junya Nakamura

{"title":"A Consistent Replica Selection Approach for Distributed Key-Value Storage System","authors":"Thazin Nwe, Tin Tin Yee, Ei Chaw Htoon, Junya Nakamura","doi":"10.1109/AITC.2019.8921008","DOIUrl":"https://doi.org/10.1109/AITC.2019.8921008","url":null,"abstract":"When the amount of data is increasing, most of the distributed key-value storage systems use the quorum based consistent replica selection algorithms for fault-tolerance and load balancing. These algorithms allow higher consistency because the quorum requires a majority of replicas to execute the request. The fewer failure nodes the system has, the higher the consistency. On the other hand, it has a high latency of a read/write request due to the static consistency level for a quorum. Higher read/write consistency level dramatically increases the read/write latency and is not suitable for accessing the updated version of the data and massive workload. We propose a consistent replica selection approach with dynamically changing the consistency level. The system distributes data in a distributed hash table for the write request. And the system searches the nearest replica with an existing consistent hashing algorithm instead of random selection and predicts the staleness rate with the Probability of Bounded Staleness (PBS) to select the consistent replicas for the read request. The experimental result shows that the proposed system reduces the staleness rate and the number of replicas by varying consistency level.","PeriodicalId":388642,"journal":{"name":"2019 International Conference on Advanced Information Technologies (ICAIT)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132640541","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

Analysis of accident severity factor in Road Accident of Yangon using FRAM and Classification Technique 基于FRAM和分类技术的仰光道路交通事故严重程度因素分析

2019 International Conference on Advanced Information Technologies (ICAIT) Pub Date : 2019-11-01 DOI: 10.1109/AITC.2019.8921119

Kyi Pyar Hlaing, Nyein Thwet Thwet Aung, Swe Zin Hlaing, K. Ochimizu

{"title":"Analysis of accident severity factor in Road Accident of Yangon using FRAM and Classification Technique","authors":"Kyi Pyar Hlaing, Nyein Thwet Thwet Aung, Swe Zin Hlaing, K. Ochimizu","doi":"10.1109/AITC.2019.8921119","DOIUrl":"https://doi.org/10.1109/AITC.2019.8921119","url":null,"abstract":"Road accidents are unpredictable and undetermined occurrence. Analysis of road accidents needs to understand the factor causing road accident severity. Careful analysis of road accident record is important to find out leading indicator factor for road accident. This paper introduces the analysis of severity factor using Functional Resonance Analysis Method (FRAM) that can be used an accident analysis method providing a new concept for people to analyze accidents. It also applies Naïve Bayes (NB) Algorithm is one of the classification techniques and based on probability models that incorporate strong independence assumptions. In this paper, firstly, FRAM shows the model of analysis of road accident. Secondly NB algorithm applies to calculate the probability of severity level attribute. Finally, this paper shows some experiment of the real dataset of road accident in Yangon by applying the actual scenario. The result shows that the performance variability from the function of the model such as accident time, causes of accident reason and type of vehicle are important factor to lead the level of road accident severity.","PeriodicalId":388642,"journal":{"name":"2019 International Conference on Advanced Information Technologies (ICAIT)","volume":"102 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123175791","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: 2

Foreground Objects Segmentation in Videos with Improved Codebook Model 基于改进码本模型的视频前景目标分割

2019 International Conference on Advanced Information Technologies (ICAIT) Pub Date : 2019-11-01 DOI: 10.1109/AITC.2019.8921193

S. Aung, Nu War

引用次数: 1

Optimized Resource Allocation Model in Cloud Computing System 云计算系统中的优化资源分配模型

2019 International Conference on Advanced Information Technologies (ICAIT) Pub Date : 2019-11-01 DOI: 10.1109/AITC.2019.8920852

Thura Win., Tin Tin Yee, Ei Chaw Htoon

引用次数: 4

University Classroom Attendance System Using FaceNet and Support Vector Machine 基于FaceNet和支持向量机的大学课堂考勤系统

2019 International Conference on Advanced Information Technologies (ICAIT) Pub Date : 2019-11-01 DOI: 10.1109/AITC.2019.8921316

Thida Nyein, Aung Nway Oo

引用次数: 16

Edge based Crime Assistance System with Cloud Computing 基于边缘的犯罪辅助系统与云计算

2019 International Conference on Advanced Information Technologies (ICAIT) Pub Date : 2019-11-01 DOI: 10.1109/AITC.2019.8920883

Khin Myint Myat Thu, N. Thein

{"title":"Edge based Crime Assistance System with Cloud Computing","authors":"Khin Myint Myat Thu, N. Thein","doi":"10.1109/AITC.2019.8920883","DOIUrl":"https://doi.org/10.1109/AITC.2019.8920883","url":null,"abstract":"Nowadays, the level of crime is increasing more and more in every corner of the world. With the rising rate of criminal activities, the identification process of the person who committed crime takes a lot of time. Most of the crime reporting systems currently are reported personally. In order to create a fast and reliable crime reporting system, the face identification in crime assistance system between edge and cloud computing is proposed. The processing power of ubiquitous devices (e.g. smartphones, sensors, and actuators) are very powerful today. They allow capturing the image of the criminal anywhere at any time. They also have the capability of detecting faces from captured image. Therefore, the face detection process using Haar face detection and face identifier generation process using Local Binary Pattern (LBP) from the captured image can take place on the edge devices. Face identifier matching is proceeded on the cloud. The paper proposed the edge-based face identification system and represents the analysis result of face detection time, matching time and total processing time of the proposed system with the increasing number of test image data set. The results show the effective usage of edge devices and improve the efficiency of face identification.","PeriodicalId":388642,"journal":{"name":"2019 International Conference on Advanced Information Technologies (ICAIT)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123521933","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