2022 16th International Conference on Ubiquitous Information Management and Communication (IMCOM)最新文献

{"title":"IMCOM 2022 Cover Page","authors":"","doi":"10.1109/imcom53663.2022.9721810","DOIUrl":"https://doi.org/10.1109/imcom53663.2022.9721810","url":null,"abstract":"","PeriodicalId":367038,"journal":{"name":"2022 16th International Conference on Ubiquitous Information Management and Communication (IMCOM)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121227072","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}

{"title":"Real-time Scale and Rotation Invariant Multiple Template Matching","authors":"Jung Rok Kim, J. Jeon","doi":"10.1109/IMCOM53663.2022.9721742","DOIUrl":"https://doi.org/10.1109/IMCOM53663.2022.9721742","url":null,"abstract":"Object detection is an important component in the field of computer vision. Real-time detection of objects of any scale or rotation is a major challenge facing the industry today. In this study, we proposed a real-time size and orientation invariant template matching algorithm and hardware structure. In addition, we proposed image pyramid generation, patch orientation detection, descriptor generation, and descriptor matching methods. First, Scale invariance is achieved by generating a pyramid of nine images from the input image to simultaneously detect objects of different scales. Then, construct a window equal to the size of the template image from the original image to obtain the center point and direction of the window. We achieve rotation invariance by creating and rotating a descriptor based on the orientation of the window. Finally, the object is detected by matching it with the descriptor of the template. The proposed algorithm was implemented in Xilinx Virtex-7 xc7v2000tflg1925-1 FPGA. Throughput was 187 Frames/s regardless of the number of objects.","PeriodicalId":367038,"journal":{"name":"2022 16th International Conference on Ubiquitous Information Management and Communication (IMCOM)","volume":"47-50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125785663","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}

{"title":"Alpha Lightweight Coreset for k-Means Clustering","authors":"N. Hoang, T. K. Dang","doi":"10.1109/IMCOM53663.2022.9721770","DOIUrl":"https://doi.org/10.1109/IMCOM53663.2022.9721770","url":null,"abstract":"The evolution of the Internet and personal devices has changed our modem world to a new age of data. The data now is not only big in volume and size but also huge in varieties and velocity. As a result, data scientists have to investigate and propose more methods to deal with big data. One of the common approaches is that instead of solving problems on the whole data with large-scale size, we can find the answer for the subset of this data; this result subsequently is used as the baseline for finding the actual solution for the original data set. To have the best final results, we have to find the best coreset, which is the subset that must be small enough for effectively reducing computational complexity but must keep all representative characteristics of original data. In this paper, based on the lightweight coreset, we propose a general coreset construction for k-means clustering named the α - lightweight coresets with a new adjustable parameter. Our experimental results have shown that this proposed method can create a good coreset for the k-means clustering problem.","PeriodicalId":367038,"journal":{"name":"2022 16th International Conference on Ubiquitous Information Management and Communication (IMCOM)","volume":"27 11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115707516","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}

{"title":"Analysis of COVID-19 Using Imaging and Audio Modalities","authors":"Omar Alaaeldein, Omar Sayed El Ahl, Lamiaa Elmahy, Martin Ihab, W. Gomaa","doi":"10.1109/IMCOM53663.2022.9721730","DOIUrl":"https://doi.org/10.1109/IMCOM53663.2022.9721730","url":null,"abstract":"The outbreak of coronavirus (COVID-19) resulted in numerous deaths and several significant negative impacts on many levels of human life including disruptions of schools, universities, vocational education segments, global economic recession, and increasing of poverty level [1]. Several COVID-19 diagnosis mechanisms currently appear in the scene such as Polymerase Chain Reaction (PCR) tests. The rate of false negatives for a PCR test varies depending on how long the infection has been present in the patient. Studies shows that the false-negative rate was 20% when testing was performed five days after symptoms began, but much higher (up to 100%) in earlier infection stages. Although the PCR test could be considered relatively accurate, it is also quite costly, ranging from 125 to 250 USD. Moreover, it takes the test results a long time to get out. Given the sensitivity of the situation, this delay in results would be quite risky. The aim of this research is to contribute to the discovery and analysis of COVID-19 invariants in order to assist medical diagnosis of the disease and to utilize deep learning for social good by implementing an aiding screening tool for COVID-19 testing that is accurate, cheap, and fast. Cheaper testing options such as X-ray and Computerized Tomography (CT) lung scans and cough audio records have been targeted for examination of promising results. Two Convolutional Neural Network (CNN) models were developed. One has been pre-trained with 38,000 CT and X-ray lung scans dataset to identify if the CT or X-ray lung scan is of a healthy person, COVID-19, or pneumonia patient. This model achieved an accuracy of 95.9%. Transfer learning has been applied to this model to test its generalizability beyond the given training datasets. For the second CNN model, about 2000 cough audio records have been converted into Mel-spectrograms and used to pre-train the model to identify if the cough audio Mel-spectrogram results are from a COVID-19 patient or not. This model achieved an accuracy of 82.1%.","PeriodicalId":367038,"journal":{"name":"2022 16th International Conference on Ubiquitous Information Management and Communication (IMCOM)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130352156","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}

{"title":"Multi-modal Fundus Image Registration with Deep Feature Matching and Image Scaling","authors":"Ju-Chan Kim, D. Le, S. Song, C. Son, Hyunseung Choo","doi":"10.1109/IMCOM53663.2022.9721768","DOIUrl":"https://doi.org/10.1109/IMCOM53663.2022.9721768","url":null,"abstract":"Multi-modal image registration is a technology that converts heterogeneous spatial coordinate systems of different images into one unified coordinate system. This is a fundamental task of medical image analysis as well as computer vision domain because it facilitates a comprehensive understanding of images captured by aligning two or more images. In the field of ophthalmology, the registration is beneficial for ophthalmologists in clinical trial diagnosis, plan treatment, and image-guided surgery. However, registering for two types of fundus image, including conventional and ultra-wide-field fundus images, is a challenging task due to the highly difference in scales of the images. The paper proposes a method of scaling and register images based on common features (e.g., optic disc) of the two fundus image types taken from the same patient. This method improves the performance of multi-modal image registration by reducing the distance in the homogeneous coordinate system of two images through image scaling. The proposed method improves about 13% correct keypoints compared to the conventional deep learning method.","PeriodicalId":367038,"journal":{"name":"2022 16th International Conference on Ubiquitous Information Management and Communication (IMCOM)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123921282","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}

{"title":"Towards AI based Ophthalmological Screening through Ultra-widefield Fundus Image to Conventional Fundus Image Translation","authors":"Pham Van Nguyen, D. Le, S. Song, Hyunseung Choo","doi":"10.1109/IMCOM53663.2022.9721717","DOIUrl":"https://doi.org/10.1109/IMCOM53663.2022.9721717","url":null,"abstract":"Conventional fundus image (CFI) has been the most popular modality used in ophthalmological diagnosis. However, taking the CFI is costly and a burden for patients since it requires pupil to dilate. Recent research have shifted more attention towards ultra-widefield fundus image (UFI) which includes a larger area, is cheaper and easier to take. Although features of an CFI can be found in a corresponding UFI, the use of UFIs for eye diagnosis is still limited due to the low contrast and inconsistent background color. The recent advancements in deep learning promote UFI-to-CFI translation to be a promising direction for an early ophthalmological screening. Existing methods cannot deal with low-quality image samples and their outputs usually have low brightness. In this paper, we outperform other works by a novel framework which tackles above problems. In this framework, we deploy an object detector and an illumination estimator to refine input samples of an attention-aided cydeGAN model which is used to generate the CFI. Numerous experiments state that 98.8% of the generated CFIs are recognized as good quality which shows the suitability of our framework for an ophthalmological screening system.","PeriodicalId":367038,"journal":{"name":"2022 16th International Conference on Ubiquitous Information Management and Communication (IMCOM)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130447298","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}

{"title":"Knowledge Creation in Online Environment: Bridge between Self and Collaborative Studies","authors":"Toyohide Watanabe","doi":"10.1109/imcom53663.2022.9721779","DOIUrl":"https://doi.org/10.1109/imcom53663.2022.9721779","url":null,"abstract":"In so-called DX (Digital Transformation) age, the education field has been extended/exchanged rapidly to the online environment, which is logically an open and cyber space, composed virtually through information network, from the face-to-face environment, which is physically a closed space, organized really with persons. In particular, our current situation with the influence of COVID-19 makes the direction clear. However, in the school education it is difficult to grasp at once what the corresponding well-planed strategies are and what the necessarily-estimated effects are. Of course, the goal and methods in the school education and its organization are not equal to those in many of social activities and companies. Moreover, in the education field, the objectives are different between the primary/secondary education and the higher education. In this paper, from a viewpoint of knowledge creation we discuss this problem on the basis of SECI model, proposed by I.Nonaka, et al., and Knowledge Handling model and Knowledge Transfer schema, developed by us.","PeriodicalId":367038,"journal":{"name":"2022 16th International Conference on Ubiquitous Information Management and Communication (IMCOM)","volume":"105 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133019566","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}

{"title":"On Reliability of Pipeline Monitoring Sensor Networks","authors":"V. Shakhov, A. N. Yurgenson, Honglong Chen","doi":"10.1109/imcom53663.2022.9721631","DOIUrl":"https://doi.org/10.1109/imcom53663.2022.9721631","url":null,"abstract":"Wireless sensor networks used for infrastructure monitoring require special attention due to the energy constraints of the sensors, resulting in a limited system lifetime. A recently proposed clustering approach aims to reduce energy consumption. However, this one can lead to a decrease in the reliability of message delivery. In this article, we consider this issue.","PeriodicalId":367038,"journal":{"name":"2022 16th International Conference on Ubiquitous Information Management and Communication (IMCOM)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132155808","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}

{"title":"Mining the Impacts of COVID-19 Pandemic on the Labour Market","authors":"Joshua F. Smallwood, Chenru Zhao, C. Leung, Yan Wen, Haolin Zheng","doi":"10.1109/imcom53663.2022.9721772","DOIUrl":"https://doi.org/10.1109/imcom53663.2022.9721772","url":null,"abstract":"Under the influence of the pandemic environment, many people may have lost their jobs or on the verge of being laid off, while there are many new job seekers. Hence, the status of new jobs under the pandemic and how various industries are affected by the pandemic—including predicting future work trends—have become the focus of attention. In this paper, we present a social informatics solution to mine the impacts of COVID-19 pandemic on the labour market. We make good use of data mining (especially, frequent pattern mining), statistical analysis, and prediction. Evaluation of real-life Canadian labour market data demonstrates the practicality of our tool. Although we illustrate our ideas with the Canadian labour market, our solution can be adaptable to mine labour markets in other geographical locations.","PeriodicalId":367038,"journal":{"name":"2022 16th International Conference on Ubiquitous Information Management and Communication (IMCOM)","volume":"223 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133395558","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}

{"title":"Feature-Wise Ranking of Candidates through Maximum Degrees in Hidden Bipartite Graphs","authors":"Sarah Kiyani, Musa Dildar Ahmed Cheema, Saad Ali Qureshi, Shujaat Hussain, Kifayat-Ullah Khan","doi":"10.1109/imcom53663.2022.9721803","DOIUrl":"https://doi.org/10.1109/imcom53663.2022.9721803","url":null,"abstract":"In this day and age of technological breakthroughs, electronic recruitment tools have gained much recognition due to their increasing popularity among recruiters. Many methods like Learning To Rank and Multi-Criteria Decision making have been employed inside these tools to enhance the process. The ranking is one of the most important parts of e-recruitment on which these methods and techniques are applied. Among these methods, the research area of graphs has not been explored enough in the context of ranking. Keeping this in view, this paper uses the k-Most Connected Vertices (kMCV) Problem of connected graphs to propose ranking in e-recruitment. Specifically, we map the finding of hidden bipartite graphs to the application of e- recruitment by first modifying it in the form of a graph and then apply to rank. Considering the hidden edges of bipartite graphs, matching between candidates and job descriptions to find the most suitable candidate for a particular job is done. To perform this task, we extend the use of the Switch-on-Empty (SOE) algorithm on a modified bipartite graph to propose a solution. We describe an algorithm, namely, SOE++, that adaptively employs the matching of composite and atomic nodes to solve the kMCV problem. We further explore the application of the algorithm in the domain of e-recruitment for ranking. The single run of this algorithm reveals information of the whole node of one set corresponding to a single feature node of the other set. Theoretical analysis shows that significant gains in performance are achieved when compared to the previous algorithm.","PeriodicalId":367038,"journal":{"name":"2022 16th International Conference on Ubiquitous Information Management and Communication (IMCOM)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129234668","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}