Cmc-computers Materials & Continua最新文献_第6页

Human Gait Recognition Using Deep Learning and Improved Ant Colony Optimization 基于深度学习和改进蚁群优化的人类步态识别

IF 3.1 4区计算机科学

Cmc-computers Materials & Continua Pub Date : 2022-01-01 DOI: 10.32604/cmc.2022.018270

Awais Khan, M. A. Khan, M. Javed, Majed Alhaisoni, U. Tariq, S. Kadry, Jung-In Choi, Yunyoung Nam

{"title":"Human Gait Recognition Using Deep Learning and Improved Ant Colony Optimization","authors":"Awais Khan, M. A. Khan, M. Javed, Majed Alhaisoni, U. Tariq, S. Kadry, Jung-In Choi, Yunyoung Nam","doi":"10.32604/cmc.2022.018270","DOIUrl":"https://doi.org/10.32604/cmc.2022.018270","url":null,"abstract":"Human gait recognition (HGR) has received a lot of attention in the last decade as an alternative biometric technique. The main challenges in gait recognition are the change in in-person view angle and covariant factors. The major covariant factors are walking while carrying a bag and walking while wearing a coat. Deep learning is a new machine learning technique that is gaining popularity. Many techniques for HGR based on deep learning are presented in the literature. The requirement of an efficient framework is always required for correct and quick gait recognition.We proposed a fully automated deep learning and improved ant colony optimization (IACO) framework for HGR using video sequences in this work. The proposed framework consists of four primary steps. In the first step, the database is normalized in a video frame. In the second step, two pre-trained models named ResNet101 and InceptionV3 are selected andmodified according to the dataset’s nature. After that, we trained both modified models using transfer learning and extracted the features. The IACO algorithm is used to improve the extracted features. IACO is used to select the best features, which are then passed to the Cubic SVM for final classification. The cubic SVM employs a multiclass method. The experiment was carried out on three angles (0, 18, and 180) of the CASIA B dataset, and the accuracy was 95.2, 93.9, and 98.2 percent, respectively. A comparison with existing techniques is also performed, and the proposed method outperforms in terms of accuracy and computational time.","PeriodicalId":10440,"journal":{"name":"Cmc-computers Materials & Continua","volume":"39 1","pages":""},"PeriodicalIF":3.1,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81975660","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 19

Comparison of Missing Data Imputation Methods in Time Series Forecasting 时间序列预测中缺失数据输入方法的比较

IF 3.1 4区计算机科学

Cmc-computers Materials & Continua Pub Date : 2022-01-01 DOI: 10.32604/cmc.2022.019369

Hyun Ahn, Kyunghee Sun, Kwanghoon Pio Kim

引用次数: 13

Emerging Applications of Artificial Intelligence, Machine learning and Data Science 人工智能、机器学习和数据科学的新兴应用

IF 3.1 4区计算机科学

Cmc-computers Materials & Continua Pub Date : 2022-01-01 DOI: 10.32604/cmc.2022.020431

Dharmendra Dangi, Amita Bhagat, Dheeraj Kumar Dixit

引用次数: 1

Energy Efficiency Trade-off with Spectral Efficiency in MIMO Systems MIMO系统中能量效率与频谱效率的权衡

IF 3.1 4区计算机科学

Cmc-computers Materials & Continua Pub Date : 2022-01-01 DOI: 10.32604/cmc.2022.020777

Rao Muhammad Asif, M. Shakir, J. Nebhen, Ateeq Ur Rehman, M. Shafiq, Jin-Ghoo Choi

{"title":"Energy Efficiency Trade-off with Spectral Efficiency in MIMO Systems","authors":"Rao Muhammad Asif, M. Shakir, J. Nebhen, Ateeq Ur Rehman, M. Shafiq, Jin-Ghoo Choi","doi":"10.32604/cmc.2022.020777","DOIUrl":"https://doi.org/10.32604/cmc.2022.020777","url":null,"abstract":": 5G technology can greatly improve spectral efficiency (SE) and throughput of wireless communications.In this regard, multipleinput multiple output (MIMO) technology has become the most influential technology using huge antennas and user equipment (UE). However, the use of MIMO in 5G wireless technology will increase circuit power consumption and reduce energy efficiency (EE). In this regard, this article proposes an optimal solution for weighing SE and throughput tradeoff with energy efficiency. The research work is based on the Wyner model of uplink (UL) and downlink (DL) transmission under the multi-cell model scenario. The SE-EE trade-off is carried out by optimizing the choice of antenna and UEs, while the approximation method based on the logarithmic function is used for optimization. In this paper, we analyzed the combination of UL and DL power consumption models and precoding schemes for all actual circuit power consumption models to optimize the trade-off between EE and throughput. The simulation results show that the SE-EE trade-off has been significantly improved by developing UL and DL transmission models with the approximation method based on logarithmic functions. It is also recognized that the throughput-EE trade-off can be improved by knowing the total actual power consumed by the entire network.","PeriodicalId":10440,"journal":{"name":"Cmc-computers Materials & Continua","volume":"34 1","pages":""},"PeriodicalIF":3.1,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81069882","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

An Enhanced Privacy Preserving, Secure and Efficient Authentication Protocol for VANET 一种增强的隐私保护、安全高效的VANET认证协议

IF 3.1 4区计算机科学

Cmc-computers Materials & Continua Pub Date : 2022-01-01 DOI: 10.32604/cmc.2022.023476

Safiullah Khan, A. Raza, Seong Oun Hwang

引用次数: 0

Two-Stage Production Planning Under Stochastic Demand: Case Study of Fertilizer Manufacturing 随机需求下的两阶段生产计划:以化肥制造业为例

IF 3.1 4区计算机科学

Cmc-computers Materials & Continua Pub Date : 2022-01-01 DOI: 10.32604/cmc.2022.019890

Chia-Nan Wang, Shao-Dong Syu, C. Chou, Viet Tinh Nguyen, Dang Van Thuy Cuc

{"title":"Two-Stage Production Planning Under Stochastic Demand: Case Study of Fertilizer Manufacturing","authors":"Chia-Nan Wang, Shao-Dong Syu, C. Chou, Viet Tinh Nguyen, Dang Van Thuy Cuc","doi":"10.32604/cmc.2022.019890","DOIUrl":"https://doi.org/10.32604/cmc.2022.019890","url":null,"abstract":": Agriculture is a key facilitator of economic prosperity and nourishes the huge global population. To achieve sustainable agriculture, several factors should be considered, such as increasing nutrient and water efficiency and/or improving soil health and quality. Using fertilizer is one of the fastest and easiest ways to improve the quality of nutrients inland and increase the effec-tiveness of crop yields. Fertilizer supplies most of the necessary nutrients for plants, and it is estimated that at least 30%–50% of crop yields is attributable to commercial fertilizer nutrient inputs. Fertilizer is always a major concern in achieving sustainable and efficient agriculture. Applying reasonable and cus-tomized fertilizers will require a significant increase in the number of formulae, involving increasing costs and the accurate forecasting of the right time to apply the suitable formulae. An alternative solution is given by two-stage production planning under stochastic demand, which divides a planning schedule into two stages. The primary stage has non-existing demand information, the inputs of which are the proportion of raw materials needed for producing fertilizer products, the cost for purchasing pays attention to maximizing total profit based on information from customer demand, as well as being informed regarding concerns about system cost at Stage 2.","PeriodicalId":10440,"journal":{"name":"Cmc-computers Materials & Continua","volume":"31 5 1","pages":""},"PeriodicalIF":3.1,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78135328","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Defocus Blur Segmentation Using Genetic Programming and Adaptive Threshold 基于遗传规划和自适应阈值的散焦模糊分割

IF 3.1 4区计算机科学

Cmc-computers Materials & Continua Pub Date : 2022-01-01 DOI: 10.32604/cmc.2022.019544

M. Tariq Mahmood

引用次数: 1

Position Control of Flexible Joint Carts Using Adaptive Generalized Dynamics Inversion 基于自适应广义动力学反演的柔性关节车位置控制

IF 3.1 4区计算机科学

Cmc-computers Materials & Continua Pub Date : 2022-01-01 DOI: 10.32604/cmc.2022.020954

Ibrahim M. Mehedi, Mohd Heidir Mohd Shah, Soon Xin Ng, Abdulah Jeza Aljohani, M. El-Hajjar, M. Moinuddin

{"title":"Position Control of Flexible Joint Carts Using Adaptive Generalized Dynamics Inversion","authors":"Ibrahim M. Mehedi, Mohd Heidir Mohd Shah, Soon Xin Ng, Abdulah Jeza Aljohani, M. El-Hajjar, M. Moinuddin","doi":"10.32604/cmc.2022.020954","DOIUrl":"https://doi.org/10.32604/cmc.2022.020954","url":null,"abstract":": This paper presents the design and implementation of Adaptive Generalized Dynamic Inversion (AGDI) to track the position of a Linear Flexible Joint Cart (LFJC) system along with vibration suppression of the flexible joint. The proposed AGDI control law will be comprised of two control elements. The baseline (continuous) control law is based on principle of conventional GDI approach and is established by prescribing the constraint dynamics of controlled state variables that reflect the control objec-tives. The control law is realized by inverting the prescribed dynamics using dynamically scaled Moore-Penrose generalized inversion. To boost the robust attributes against system nonlinearities, parametric uncertainties and external perturbations, a discontinuous control law will be augmented which is based on the concept of sliding mode principle. In discontinuous control law, the sliding mode gain is made adaptive in order to achieve improved tracking performance and chattering reduction. The closed-loop stability of resultant control law is established by introducing a positive define Lyapunov candidate function such that semi-global asymptotic attitude tracking of LFJC system is guaranteed. Rigorous computer simulations followed by experimental investigation will be performed on Quanser’s LFJC system to authenticate the feasibility of proposed control approach for its application to real world problems.","PeriodicalId":10440,"journal":{"name":"Cmc-computers Materials & Continua","volume":"50 1","pages":""},"PeriodicalIF":3.1,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78271574","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

BERT-CNN: A Deep Learning Model for Detecting Emotions from Text BERT-CNN:从文本中检测情感的深度学习模型

IF 3.1 4区计算机科学

Cmc-computers Materials & Continua Pub Date : 2022-01-01 DOI: 10.32604/cmc.2022.021671

Ahmed R. Abas, Ibrahim Elhenawy, Mahinda Zidan, Mahmoud Othman

{"title":"BERT-CNN: A Deep Learning Model for Detecting Emotions from Text","authors":"Ahmed R. Abas, Ibrahim Elhenawy, Mahinda Zidan, Mahmoud Othman","doi":"10.32604/cmc.2022.021671","DOIUrl":"https://doi.org/10.32604/cmc.2022.021671","url":null,"abstract":": Due to the widespread usage of social media in our recent daily lifestyles, sentiment analysis becomes an important field in pattern recognition and Natural Language Processing (NLP). In this field, users’feedback data on a specific issue are evaluated and analyzed. Detecting emotions within the text is therefore considered one of the important challenges of the current NLP research. Emotions have been widely studied in psychology and behavioral science as they are an integral part of the human nature. Emotions describe a state of mind of distinct behaviors, feelings, thoughts and experiences. The main objective of this paper is to propose a new model named BERT-CNN to detect emotions from text. This model is formed by a combination of the Bidirectional Encoder Representations from Transformer (BERT) and the Convolutional Neural networks (CNN) for textual classification. This model embraces the BERT to train the word semantic representation language model. According to the word context, the semantic vector is dynamically generated and then placed into the CNN to predict the output. Results of a comparative study proved that the BERT-CNN model overcomes the state-of-art baseline performance produced by different models in the literature using the semeval 2019 task3 dataset and ISEAR datasets. The BERT-CNN model achieves an accuracy of 94.7% and an F1-score of 94% for semeval2019 task3 dataset and an accuracy of 75.8% and an F1-score of 76% for ISEAR dataset.","PeriodicalId":10440,"journal":{"name":"Cmc-computers Materials & Continua","volume":"36 1","pages":""},"PeriodicalIF":3.1,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74297171","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 11

Two-Tier Clustering with Routing Protocol for IoT Assisted WSN 基于路由协议的物联网辅助WSN两层聚类

IF 3.1 4区计算机科学

Cmc-computers Materials & Continua Pub Date : 2022-01-01 DOI: 10.32604/cmc.2022.022668

A. Arokiaraj Jovith, Mahantesh Mathapati, M. Sundarrajan, N. Gnanasankaran, S. Kadry, Maytham N. Meqdad, Shabnam Mohamed Aslam

引用次数: 3