International Journal of Computing最新文献_第7页

Analysis of COVID-19 and its Impact on Alzheimer’s Patient using Machine Learning Techniques 利用机器学习技术分析COVID-19及其对阿尔茨海默病患者的影响

International Journal of Computing Pub Date : 2022-12-31 DOI: 10.47839/ijc.21.4.2782

R. Sivakani, M. Syed Masood

引用次数: 0

Many Known Quantum Algorithms Are Optimal: Symmetry-Based Proofs 许多已知的量子算法是最优的:基于对称的证明

International Journal of Computing Pub Date : 2022-12-31 DOI: 10.47839/ijc.21.4.2776

V. Kreinovich, Oscar Galindo, O. Kosheleva

引用次数: 0

Traffic-aware Routing with Software-defined Networks Using Reinforcement Learning and Fuzzy Logic 基于强化学习和模糊逻辑的软件定义网络流量感知路由

International Journal of Computing Pub Date : 2022-09-30 DOI: 10.47839/ijc.21.3.2687

Shohreh Jaafari, M. Nassiri, Reza Mohammadi

{"title":"Traffic-aware Routing with Software-defined Networks Using Reinforcement Learning and Fuzzy Logic","authors":"Shohreh Jaafari, M. Nassiri, Reza Mohammadi","doi":"10.47839/ijc.21.3.2687","DOIUrl":"https://doi.org/10.47839/ijc.21.3.2687","url":null,"abstract":"In recent years, the idea of software-defined networks (SDNs) has been proposed for better network management. This architecture has succeeded in optimizing network management functions and increased the ability to synchronize network equipment. Currently, one of the major issues in this architecture is the routing of packets flowing in the network. The main aim in the routing of packets is to increase the quality of services. Enhancement of the quality and productivity of these networks will increase user satisfaction. To this end, the present study proposes a mechanism for selecting the best route from among several existing routes to direct a flow on such a network. The proposed method examines the network parameters including bandwidth, delay, and packet loss on each link of the route by using artificial intelligence algorithms and changes the parameters reducing network productivity by means of fuzzy logic. Our evaluations show that the proposed method can select routes with high productivity and increase the quality of services on the network. Receiving feedback and modifying the fuzzy membership functions related to each mentioned criterion can maintain the effect of these parameters on an acceptable level after which all transmissions tend towards the optimum. Given the use of reinforcement learning methods which underpin some of the routing methods in SDNs, the proposed idea may gradually contribute to the provision of optimized services on the network.","PeriodicalId":37669,"journal":{"name":"International Journal of Computing","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81883431","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

Unmanned Aerial Vehicles as a Source of Information Security Threats of Wireless Network 无人机作为无线网络信息安全威胁的来源

International Journal of Computing Pub Date : 2022-09-30 DOI: 10.47839/ijc.21.3.2695

Serhii Voitenko, Volodymyr Druzhynin, Hanna Martyniuk, Tetiana Meleshko

引用次数: 1

A Competent Hybrid Digital Image Watermarking Technique Based on Daubechies Wavelet and Block Bitmap Modification 基于涂抹、小波和块位图修正的混合数字图像水印技术

International Journal of Computing Pub Date : 2022-09-30 DOI: 10.47839/ijc.21.3.2685

Hayder G. A. Altameemi, Ahmed A. Alani, A. Asmael, M. Al‐Obaidi

引用次数: 0

Alarm Pattern Recognition in Continuous Process Control Systems using Data Mining 基于数据挖掘的连续过程控制系统报警模式识别

International Journal of Computing Pub Date : 2022-09-30 DOI: 10.47839/ijc.21.3.2689

Chetana Belavadi, V. Sardar, S. Chaudhari

{"title":"Alarm Pattern Recognition in Continuous Process Control Systems using Data Mining","authors":"Chetana Belavadi, V. Sardar, S. Chaudhari","doi":"10.47839/ijc.21.3.2689","DOIUrl":"https://doi.org/10.47839/ijc.21.3.2689","url":null,"abstract":"An alarm management system with the Human Machine Interface in a process control system is used to alert an operator of any abnormal situation, so that corrective action can be taken to ensure safety and productivity of the plant and quality of the product. An alarm system reporting many alarms even during the normal state of the plant is due to chattering alarms, duplicated alarms, intermittent equipment problems and certain alarms configured in the system which may not have any importance. In such a situation the operator may miss certain critical alarms leading to undesirable outcomes. So, to have an optimum alarm system, the unwanted alarms have to be identified and eliminated. In this paper, we propose an offline method to identify repetitive, frequent sequences or patterns using PrefixSpan and Bi-Directional Extension algorithms. With the identified sequences or patterns, plant operation experts can improve the effectiveness of the alarm system through alarm rationalization so that this will help the operator in making the plant more safe, reliable and productive. The main objectives of this work are the following: (i) to use a definitive method to represent alarm data in an alarm log which is Temporal data as Itemsets without a need for complex mathematical, statistical or visual methods; (ii) to use data mining algorithms for identifying Frequent sequences which can be implemented on a normal computing resource such as Personal computer; (iii) to apply the method to the complete alarm data available no matter how big they are; (iv) to study and establish that the chosen method is possible to be applied to larger sized datasets.","PeriodicalId":37669,"journal":{"name":"International Journal of Computing","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80594793","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 Novel and Enhanced Routing Protocol for Large Scale Disruption Tolerant Mobile Ad hoc Networks 一种新的增强的大规模容错移动自组网路由协议

International Journal of Computing Pub Date : 2022-09-30 DOI: 10.47839/ijc.21.3.2688

H. Al-Asadi, Huda A. Ahmed, Abdul-Hadi Al-Hassani, N. A. Ahmad Hambali

{"title":"A Novel and Enhanced Routing Protocol for Large Scale Disruption Tolerant Mobile Ad hoc Networks","authors":"H. Al-Asadi, Huda A. Ahmed, Abdul-Hadi Al-Hassani, N. A. Ahmad Hambali","doi":"10.47839/ijc.21.3.2688","DOIUrl":"https://doi.org/10.47839/ijc.21.3.2688","url":null,"abstract":"Because of the lack of fixed infrastructures, the existence of open media and diverse network topologies, internetworking networks and mobile ad hoc networks (MANET’s), the design of MANET protocols is complicated. In this paper, we propose an evolutionary trust mechanism imitating cognitive processes that uses sensitive information to avoid routing. Moreover, we propose an Enhanced Self-organizing Cooperation and Trust based (ESCT) Protocol, where the mobile nodes share self-reliance and interpret information from a cognitive point of view. Each node develops its information dynamically to eradicate malicious entities. The most attractive attribute of the proposed ESCT protocol, even if domestic attackers know how it operates, is to prevent infringements. In this paper, the efficiency of the proposed ESCT protocol is assessed for different routing disturbances and varying number of attackers. The results of a simulation show that, the proposed ESCT protocol supports diverse network platforms and provides an efficient routing method for MANET routers. The proposed ESCT protocol displays increased throughput, reduction in end-to-end delay and increase in packet delivery ratio when compared to the peers that were taken for comparison.","PeriodicalId":37669,"journal":{"name":"International Journal of Computing","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86073648","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

High Speed Approximate Carry Speculative Adder in Error Tolerance Applications 高速近似进位推测加法器在容错中的应用

International Journal of Computing Pub Date : 2022-09-30 DOI: 10.47839/ijc.21.3.2696

Ajay Kumar Gottem, Arunmetha Sundaramoorthy, Aravindhan Alagarsamy

引用次数: 0

Intellectual Scenario-synergetic Control of the Humidity and Temperature Regime of the Greenhouse Facilities 温室设施温湿度状态的智能场景协同控制

International Journal of Computing Pub Date : 2022-09-30 DOI: 10.47839/ijc.21.3.2686

Dmytro Polishchyk, V. Lysenko, Serhii Osadchiy, N. Zaiets

{"title":"Intellectual Scenario-synergetic Control of the Humidity and Temperature Regime of the Greenhouse Facilities","authors":"Dmytro Polishchyk, V. Lysenko, Serhii Osadchiy, N. Zaiets","doi":"10.47839/ijc.21.3.2686","DOIUrl":"https://doi.org/10.47839/ijc.21.3.2686","url":null,"abstract":"The article substantiates the management of the humidity and temperature regime of greenhouse complexes on the basis of a scenario-synergetic approach. The scenarios for controlling the temperature and humidity conditions in the greenhouse using the approach of fuzzy neural networks are formed. The structure of an automated control system for technological processes is developed, which provides automated collection and processing of information for the implementation of control actions in order to improve the efficiency of the greenhouse complex on the basis of a scenario-synergetic approach. The corresponding fuzzy neural networks are synthesized for a synergistic assessment of the interaction of technological parameters. Estimation of the root-mean-square error in the synthesis of fuzzy neural networks confirms the possibility of their use for the synergistic formation of scenarios for controlling the temperature and humidity regime in greenhouses to reveal the presence of a synergistic effect. Production rules for scenario management of temperature and humidity conditions are formed. It is shown that the use of fuzzy neural networks for the formation of scenarios for controlling the humidity and temperature regime provides the possibility of obtaining the appropriate scenarios for making managerial decisions and their prompt correction.","PeriodicalId":37669,"journal":{"name":"International Journal of Computing","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72728543","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 Cloud Pub/Sub Architecture to Integrate Google Big Query with Elasticsearch using Cloud Functions 使用云功能集成Google大查询和Elasticsearch的云Pub/Sub架构

International Journal of Computing Pub Date : 2022-09-30 DOI: 10.47839/ijc.21.3.2694

Sergio Laureano Gutiérrez, Yasiel Pérez Vera

引用次数: 0