2020 2nd International Conference on Computer and Information Sciences (ICCIS)最新文献_第8页

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2020 2nd International Conference on Computer and Information Sciences (ICCIS) Pub Date : 2020-10-13 DOI: 10.1109/iccis49240.2020.9257666

引用次数: 0

Analysis of n-gram (0 n-gram (0

2020 2nd International Conference on Computer and Information Sciences (ICCIS) Pub Date : 2020-10-13 DOI: 10.1109/ICCIS49240.2020.9257642

S. Adewumi, Haruna Abdu

引用次数: 0

Ridge Polynomial Neural Network with Error Feedback for Recursive Multi-step Forecast Strategy: A Case Study of Carbon Dioxide Emissions Forecasting 基于误差反馈的岭多项式神经网络递归多步预测策略——以二氧化碳排放预测为例

2020 2nd International Conference on Computer and Information Sciences (ICCIS) Pub Date : 2020-10-13 DOI: 10.1109/ICCIS49240.2020.9257685

Waddah Saeed, H. Shah, M. Jabreel, D. Puig

{"title":"Ridge Polynomial Neural Network with Error Feedback for Recursive Multi-step Forecast Strategy: A Case Study of Carbon Dioxide Emissions Forecasting","authors":"Waddah Saeed, H. Shah, M. Jabreel, D. Puig","doi":"10.1109/ICCIS49240.2020.9257685","DOIUrl":"https://doi.org/10.1109/ICCIS49240.2020.9257685","url":null,"abstract":"Neural networks (NNs) have been used extensively for forecasting problems. NN with error feedbacks is a type of NNs that showed more accurate forecasts compared to feedforward NNs and NNs with output feedbacks with some forecasting problems. The main issue with NN s with error feedbacks appears when there is a need for recursive multi-step forecast strategy because the observed values must be known in order to calculate network errors. This paper proposes to use the last calculated error after finishing training NNs with error feedbacks because the observed values are unknown. This last calculated error is used as a fixed value when producing forecasts using recursive multi-step forecast strategy. For that, this paper investigated this simple solution with a NN with error feedback called the ridge polynomial neural network with error feedback (RPNN-EF). Carbon dioxide emissions for three countries in the organization of the petroleum exporting countries (OPEC) were used in this investigation. The forecasting accuracy of RPNN-EF was compared with seven forecasting methods. According to the obtained results, on average, the proposed solution produces reasonable forecasts compared to the seven forecasting methods. Therefore, this solution can be suggested for NNs with error feedbacks for recursive multi-step forecast strategy.","PeriodicalId":425637,"journal":{"name":"2020 2nd International Conference on Computer and Information Sciences (ICCIS)","volume":"81 11","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131879097","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

Parallel Genetic Algorithm using Compute Unified Device Architecture (CUDA) for Designing Energy Saving Glass Coating Structure 基于CUDA并行遗传算法的节能玻璃镀膜结构设计

2020 2nd International Conference on Computer and Information Sciences (ICCIS) Pub Date : 2020-10-13 DOI: 10.1109/ICCIS49240.2020.9257606

Khoo Wen Xin, A. S. Shibghatullah, Rohana Sham

{"title":"Parallel Genetic Algorithm using Compute Unified Device Architecture (CUDA) for Designing Energy Saving Glass Coating Structure","authors":"Khoo Wen Xin, A. S. Shibghatullah, Rohana Sham","doi":"10.1109/ICCIS49240.2020.9257606","DOIUrl":"https://doi.org/10.1109/ICCIS49240.2020.9257606","url":null,"abstract":"Parallel Processing is proven to provide faster speed in generating the chromosome of the coating structure of Energy saving glass. The technique that has been used is parallel genetic algorithm, since parallel genetic algorithm require high speed of CPU in order to generate the result, yet high performance of CPU will require additional cost, with the use of GPU it is proven that the speed of the GPU is 100 times faster than the CPU which can shorten the duration in generating the code and result. The result will be in binary format which is the best chromosome that will be selected used as the design for the coating structure. This paper will cover the study of GPU and CUDA platform and analyze the result of the coating. The simulation result of the coating structure will be compare with different glass width or border and different frequency with same material and same coating structure design. This paper will discuss on the coating structure based on the simulation result whether the glass width can affect the signal frequency and which type of application that suitable with it. Speed test will also cover in this paper to prove that parallel processing does shorten the time of processing.","PeriodicalId":425637,"journal":{"name":"2020 2nd International Conference on Computer and Information Sciences (ICCIS)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132341375","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

An Enhanced Hybrid Genetic Algorithm And Particle Swarm Optimization Based on Small Position Values for Tasks Scheduling in Cloud 基于小位置值的改进混合遗传算法和粒子群优化在云环境任务调度中的应用

2020 2nd International Conference on Computer and Information Sciences (ICCIS) Pub Date : 2020-10-13 DOI: 10.1109/ICCIS49240.2020.9257696

Nehemiah Musa, A. Gital, F. Zambuk, A. Usman, M. Almutairi, H. Chiroma

{"title":"An Enhanced Hybrid Genetic Algorithm And Particle Swarm Optimization Based on Small Position Values for Tasks Scheduling in Cloud","authors":"Nehemiah Musa, A. Gital, F. Zambuk, A. Usman, M. Almutairi, H. Chiroma","doi":"10.1109/ICCIS49240.2020.9257696","DOIUrl":"https://doi.org/10.1109/ICCIS49240.2020.9257696","url":null,"abstract":"Cloud computing is becoming irresistible considering its benefits, such as low maintenance, up-front costs and ease of scaling. On the other hand, the proliferation of cloud users is causing the expansion of more data centres that require a lot of power. As such, it triggered the problem of energy consumption in data centre storage systems and emission of carbon footprints in the cloud environments. To mitigate the problems, many approaches based on hybrid GA-PSO were proposed in the literature for tasks scheduling in the cloud infrastructure to efficiently manage cloud resources, enhance energy efficiency and quality of service (QoS). The already discussed GA-PSO typically applied randomization in generating initial population. However, in solving tasks scheduling problems, randomness slows convergence speed of the algorithm. In this paper, we propose an enhanced hybrid of Genetic algorithm (GA) and Particle Swarm Optimization (PSO) (GA-PSO) by applying small position values (SPV) to generate initial population to deviate from the limitation of the randomness and improve convergence speed. The proposed enhance GA-PSO with SPV is applied to efficiently schedule tasks to cloud computing resources. The result indicated that the propose GA-PSO perform better than the classical hybrid GA-PSO algorithm in terms of makespan and resource utilization.","PeriodicalId":425637,"journal":{"name":"2020 2nd International Conference on Computer and Information Sciences (ICCIS)","volume":"107 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132233747","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

Survival Rate Prediction Model of Cardio Vascular Disease Patients by Quantifying the Risk Profile using SVM 基于支持向量机的心血管疾病患者风险量化生存率预测模型

2020 2nd International Conference on Computer and Information Sciences (ICCIS) Pub Date : 2020-10-13 DOI: 10.1109/ICCIS49240.2020.9257638

Fatima Zohra, A. Javed, H. Dawood

引用次数: 0

Investigation of Multi Reference Point Estimation with Timbre for Effective Mobile Auditory Devices 有效移动听觉设备的多参考点音色估计研究

2020 2nd International Conference on Computer and Information Sciences (ICCIS) Pub Date : 2020-10-13 DOI: 10.1109/ICCIS49240.2020.9257681

Zico Pratama Putra, Deni Setiawan, A. S. Prabuwono, B. Priambodo, M. D. Anasanti

引用次数: 0

Evolution, Mitigation, and Prevention of Ransomware 勒索软件的演变、缓解和预防

2020 2nd International Conference on Computer and Information Sciences (ICCIS) Pub Date : 2020-10-13 DOI: 10.1109/ICCIS49240.2020.9257708

Ikra Afzal Chesti, M. Humayun, N. Sama, Noor Zaman Jhanjhi

{"title":"Evolution, Mitigation, and Prevention of Ransomware","authors":"Ikra Afzal Chesti, M. Humayun, N. Sama, Noor Zaman Jhanjhi","doi":"10.1109/ICCIS49240.2020.9257708","DOIUrl":"https://doi.org/10.1109/ICCIS49240.2020.9257708","url":null,"abstract":"Tremendous growth of ransom malware demands valuable security methods to protect individuals and organizations. Ransomware or ransom malware is a type of malware that restricts users from accessing their files or system and demands a ransom payment to get back access to files. The hacked files are encrypted and asked for payment to decrypt and redeliver the files back to the user. To regain access back to hacked files one has to make digital payment. Ransomware of this type is dangerous as it hacks all the files and fails all the security methods available on the system also the possibility for retrieving your file is zero percent. Even if the payment is done still one cannot be sure that files will be delivered back to the user. The earliest ransomware came into existence in 1980, at that time one has to pay through snail mail. Ransomware is considered as the most widespread malware since 1989 and had caused global financial losses both to individuals and big organizations. Every year this loss is increasing. Therefore, protection of our data from ransomware is necessary. Today, originators of ransomware demand for payment via bitcoins or cryptocurrency. This paper provides the detailed overview about ransomware, its evolution, the reasons for paying or not paying a ransom, the existing approaches to avoid this problem, and the recovery techniques in case of infection.","PeriodicalId":425637,"journal":{"name":"2020 2nd International Conference on Computer and Information Sciences (ICCIS)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115963010","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: 10

Magnetic flux distribution and braking torque of a grooved eddy current brake 槽形涡流制动器的磁通分布和制动力矩

2020 2nd International Conference on Computer and Information Sciences (ICCIS) Pub Date : 2020-10-13 DOI: 10.1109/ICCIS49240.2020.9257655

U. Ubaidillah, S. Suwolo, A. Prayoga, M. Nizam, H. Waloyo

引用次数: 0

Sentiment Analysis of IMDb Movie Reviews Using Long Short-Term Memory 基于长短期记忆的IMDb影评情感分析

2020 2nd International Conference on Computer and Information Sciences (ICCIS) Pub Date : 2020-10-13 DOI: 10.1109/ICCIS49240.2020.9257657

S. Qaisar

引用次数: 22