2022 16th International Conference on Ubiquitous Information Management and Communication (IMCOM)最新文献_第3页

ValS: A Leading Visual and Inertial Dataset of Squats ValS:一个领先的深蹲视觉和惯性数据集

2022 16th International Conference on Ubiquitous Information Management and Communication (IMCOM) Pub Date : 2022-01-03 DOI: 10.1109/IMCOM53663.2022.9721738

A. Fayez, A. Sharshar, Ahmed Hesham, Islam Eldifrawi, W. Gomaa

{"title":"ValS: A Leading Visual and Inertial Dataset of Squats","authors":"A. Fayez, A. Sharshar, Ahmed Hesham, Islam Eldifrawi, W. Gomaa","doi":"10.1109/IMCOM53663.2022.9721738","DOIUrl":"https://doi.org/10.1109/IMCOM53663.2022.9721738","url":null,"abstract":"Human movement recognition has sparked a lot of attention because of its wide range of applications in sports, animation, simulation, and entertainment. These applications necessitate the analysis of datasets in order to distinguish motions in either the visual or inertial motion data. The use of camera and motion sensors, particularly, the gyroscope and accelerometer, has expanded recently as a result of the availability of mobile smartphones, smartwatches, etc., and is now being employed in real-world applications. In this paper, we present a new Visual and Inertial dataset ValS Dataset focusing on performing the squats exercises. The same actors and activities were captured using various hardware systems in two capture rounds, including video using mobile cameras and inertial measurement units (IMUs). The data from the IMUs and the videos are synced. Squats are being performed by 24 males and 3 females. To provide the highest data diversity, we recorded some sessions outdoors in the daylight and at night while others to be indoors. In this paper, we offer further details about the nature of the data and how would the dataset can be of many benefits, as well as how the dataset was collected and post-processed, including the synchronization process. Seeking evaluating the quality of the data, we ran certain tests to produce a proper data analysis.","PeriodicalId":367038,"journal":{"name":"2022 16th International Conference on Ubiquitous Information Management and Communication (IMCOM)","volume":"14 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":"116516014","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 Method to Generate Posed Person Image with few Context Images 一种基于少量背景图像生成人物姿态图像的方法

2022 16th International Conference on Ubiquitous Information Management and Communication (IMCOM) Pub Date : 2022-01-03 DOI: 10.1109/imcom53663.2022.9721635

H. Nakada, H. Asoh

引用次数: 0

Performance Centric Primary Storage Deduplication Systems Exploiting Caching and Block Similarity 利用缓存和块相似性的以性能为中心的主存储重复数据删除系统

2022 16th International Conference on Ubiquitous Information Management and Communication (IMCOM) Pub Date : 2022-01-03 DOI: 10.1109/IMCOM53663.2022.9721761

Rakesh Gururaj, M. Moh, Teng-Sheng Moh, Philip Shilane, Bhimsen Bhanjois

{"title":"Performance Centric Primary Storage Deduplication Systems Exploiting Caching and Block Similarity","authors":"Rakesh Gururaj, M. Moh, Teng-Sheng Moh, Philip Shilane, Bhimsen Bhanjois","doi":"10.1109/IMCOM53663.2022.9721761","DOIUrl":"https://doi.org/10.1109/IMCOM53663.2022.9721761","url":null,"abstract":"Data deduplication is a concept of physically storing a single instance of data by eliminating redundant copies to save the storage space by matching strong data hashes (e.g., fingerprints). The adoption of deduplication for primary storage has been hampered because of its complexities, such as random-access patterns to data and the need for quicker request response time. Most of the solutions designed for primary storage are offline and dependent on the concept of locality. This paper proposes an inline deduplication system with a Machine Learning based cache eviction policy to reduce the metadata overhead in the deduplication process, eliminate the redundant writes and improve the overall throughput in latency-sensitive storage workload.Caching of the fingerprints plays a vital role in improving performance during deduplication. A novel Machine Learning model for cache eviction is built based on the recency, frequency, Logical Block Address, and category of a data block. The experimental results show that 33% of redundant writes are eliminated, 54.5% of metadata overhead is reduced by exploiting block similarity, and the metadata cache hit rates based on the Machine Learning model are higher by 5.43% and 10.36% over systems with Least Recently Used eviction and Least Frequently Used eviction policy respectively. We achieved 14.4% better throughput with a workload-dependent Machine Learning-based cache eviction policy than a system with traditional cache eviction policy. The cache system learns the past evicted block I/O statistics and refines itself while choosing an eviction candidate. Our system was evaluated on real-world I/O traces in experiments.","PeriodicalId":367038,"journal":{"name":"2022 16th International Conference on Ubiquitous Information Management and Communication (IMCOM)","volume":"4 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":"131872346","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

Classification of IoT based DDoS Attack using Machine Learning Techniques 基于物联网的DDoS攻击分类使用机器学习技术

2022 16th International Conference on Ubiquitous Information Management and Communication (IMCOM) Pub Date : 2022-01-03 DOI: 10.1109/IMCOM53663.2022.9721740

Muhammad Fasih Ashfaq, M. Malik, Urooj Fatima, M. Shahzad

引用次数: 1

Geo-Fencing Technique for Internship Placement- Use Cases Deliverables 实习安置的地理围栏技术-用例交付

2022 16th International Conference on Ubiquitous Information Management and Communication (IMCOM) Pub Date : 2022-01-03 DOI: 10.1109/imcom53663.2022.9721628

Suriana Ismail, M. A. M. Hanafi, R. Ismail, Ahmad Shahrafidz Khalid, F. Ismail

引用次数: 1

Estimating Neutrality of News Articles and Reactions on Twitter 估计新闻文章的中立性和Twitter上的反应

2022 16th International Conference on Ubiquitous Information Management and Communication (IMCOM) Pub Date : 2022-01-03 DOI: 10.1109/imcom53663.2022.9721781

Taketoshi Ushiama, Tenyu Kawaguchi

引用次数: 0

An Efficient Algorithm for Ranking Candidates in E-Recruitment System 电子招聘系统中一种有效的候选人排序算法

2022 16th International Conference on Ubiquitous Information Management and Communication (IMCOM) Pub Date : 2022-01-03 DOI: 10.1109/IMCOM53663.2022.9721629

Abdul Hanan Minhas, M. Shaiq, Saad Ali Qureshi, Musa Dildar Ahmed Cheema, Shujaat Hussain, Kifayat-Ullah Khan

{"title":"An Efficient Algorithm for Ranking Candidates in E-Recruitment System","authors":"Abdul Hanan Minhas, M. Shaiq, Saad Ali Qureshi, Musa Dildar Ahmed Cheema, Shujaat Hussain, Kifayat-Ullah Khan","doi":"10.1109/IMCOM53663.2022.9721629","DOIUrl":"https://doi.org/10.1109/IMCOM53663.2022.9721629","url":null,"abstract":"Over the last decade, the growth of e-recruitment has resulted in the expansion of web channels dedicated to candidate recruitment, making it easy to find and apply for jobs. However, as a result, today’s human resource managers are inundated with applications for each job opening. This leads to the production of significant number of documents, referred to as resumes or curriculum vitae (CV). Optimal processing of this data is necessary from a Human Resource strategic and economic perspective, where cost and time effectiveness is paramount. We propose an efficient ranking algorithm to overcome the high time and cost complexity associated with the pairwise comparison of candidates in the state-of-the-art Multi-Criteria Decision Making (MCDM) based ranking algorithm. This algorithm is integrated with matrix sorting and pruning based solution to enhance its scalability. Our proposed algorithm was tested on three different datasets: real-world recruitment, simulated DBLP, and synthetic datasets. Our algorithm shows promising results, which makes it effective and efficient on real-world resume ranking processes.","PeriodicalId":367038,"journal":{"name":"2022 16th International Conference on Ubiquitous Information Management and Communication (IMCOM)","volume":"28 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":"123590174","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

Feature Reuse in CNN for Human Proteins Localization CNN特征重用用于人类蛋白质定位

2022 16th International Conference on Ubiquitous Information Management and Communication (IMCOM) Pub Date : 2022-01-03 DOI: 10.1109/IMCOM53663.2022.9721799

Mahmood Qolizadeh, M. S. Abadeh

引用次数: 0

Online-Tuning of Speed and Position Controllers using Particle Swarm Optimization Algorithm for a BLDC Motor 基于粒子群算法的无刷直流电动机速度和位置控制器在线整定

2022 16th International Conference on Ubiquitous Information Management and Communication (IMCOM) Pub Date : 2022-01-03 DOI: 10.1109/IMCOM53663.2022.9721774

H. N. Tran, T. Nguyen, Ton Hoang Nguyen, Bac Viet Nguyen, H. Cao, Jaewook Jeon

引用次数: 1

Relationship between Hashtags Usage and Reach Rate in Instagram Instagram中标签使用与点击率的关系

2022 16th International Conference on Ubiquitous Information Management and Communication (IMCOM) Pub Date : 2022-01-03 DOI: 10.1109/imcom53663.2022.9721787

Seungjong Sun, Minwoo Kim, Dongyan Nan, Jang-Hyun Kim

{"title":"Relationship between Hashtags Usage and Reach Rate in Instagram","authors":"Seungjong Sun, Minwoo Kim, Dongyan Nan, Jang-Hyun Kim","doi":"10.1109/imcom53663.2022.9721787","DOIUrl":"https://doi.org/10.1109/imcom53663.2022.9721787","url":null,"abstract":"Social media users are growing constantly every year. Spontaneously interest in influencer marketing is also increasing. In influencer marketing, reach is important to estimate how many users have seen posts. Hashtags are the one of the most powerful way to increase reach. Specifically micro or nano influencers, whose followers are less than 10,000 followers, are in the spotlight for influencer marketing. Their follower numbers are low, but their reach per posts is high and marketing cost is low. In this study, we reveal the use of hashtags and the relationship between reach rate in nano influencer’s posts. We collected 232 nano influencer (1,000 -10,000 followers) accounts’ meta-data and 113,247 hashtags used in their contents. By using regression analysis, we investigated the relationship between the number of hashtags and reach rate. Then by Term Frequency-Inverse Document Frequency (TF-IDF), we investigated the unique hashtags used in the reach rate quarter group. In conclusion, there was no relationship between the number of hashtags and reach rate. However, there were results that accounts using informative hashtags can be more effective to get reach than self-presenting hashtags.","PeriodicalId":367038,"journal":{"name":"2022 16th International Conference on Ubiquitous Information Management and Communication (IMCOM)","volume":"33 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":"121429992","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