检索结果-内蒙古大学图书馆

Earthquake Ground Motion Attenuation Modeling Using Levenberg-Marquardt and Brute-Force Method

Advances in Intelligent Systems and Computing 2018年 662卷 287-297页

作者： Irwansyah, Edy Kanigoro, Bayu Budiman, Priscilia Bekti, Rokhana D. School of Computer Science Bina Nusantara University Jakarta11480 Indonesia Department of Statistic Institut Sains and Teknologi AKPRIND Yogyakarta55222 Indonesia

ISBN: (纸本)9783319676203

In this paper, we discuss the results of research on the optimization modeling of ground motion attenuation in the subduction zone of the model Youngs et al. [1] using two methods: the Levenberg-Marquard and Bruce-Force method. This modeling is particularly important in the case of seismicity. Given that it takes a good model for predicting the strength of earthquakes in order to reduce the risk of the impact of natural disasters. Two major contributions of this study are ground motion attenuation model specific to the subduction zone that has been optimized with the Levenberg-Marquard method and Bruce-Force uses a model Youngs et al. [1] and a proof that the Levenberg-Marquard method for optimization model is better than Bruce-Force method. The Levenberg-Marquardt method has been proven to provide more accurate results on the modeling of ground motion attenuation which is indicated by a very small deviation between the values of PGA predictable results with the PGA actual values. © 2018, Springer International Publishing AG.

关键词： Optimization

来源：评论

学校读者我要写书评

暂无评论

A Whole Crow Search Algorithm for Solving Data Clustering

A Whole Crow Search Algorithm for Solving Data Clustering

引用

International Conference on Technologies and Applications of Artificial Intelligence (TAAI)

作者： Ze-Xue Wu Ko-Wei Huang Abba Suganda Girsang Department of Electrical Engineering National Kaohsiung University of Science and Technology Kaohsiung City Taiwan R.O.C Computer Science Department BINUS Graduate Program-Master of Computer Science Bina Nusantara University Jakarta Indonesia

Data clustering is a well-known data mining approach that usually used to minimizes the intra distance but maximizes inter distance of each data center. The cluster problem has been proved to be an NP-hard problem. In this paper, a hybrid algorithm based on Whole optimization algorithm (WOA) and Crow search algorithm (CSA) is proposed, namely HWCA. The HWCA algorithm has the advantages of the search strategy of the WOA and CSA. In addition to, there are two operators used to improve the quality of solution, namely hybrid individual operator and enhance diversity operator. The hybrid individual operator is used to exchanges individuals from the WOA and CSA systems by using the roulette wheel approach. In other hand, the HWCA performs enhance diversity operator to improve the quality of each system. More over, the HWCA is incorporated with center optimization strategy to enhance diversity of each system. In the performance evaluation, the proposed MPGO algorithm was comparison WOA and CSA algorithm with six well-known UCI benchmarks. The results show that the proposed algorithm has a higher measure of accuracy rate with comparison algorithms.

关键词： Clustering algorithms Optimization Whales Search problems Wheels Benchmark testing Random variables

来源：评论

学校读者我要写书评

暂无评论

Modeling intelligent human resources systems (IRHS) using big data and support vector machine (SVM) 2017

Modeling intelligent human resources systems (IRHS) using bi...

引用

9th International Conference on Machine Learning and Computing, ICMLC 2017

作者： Cahyani, Anggita Dian Budiharto, Widodo Psychology Department Bina Nusantara University Jakarta Indonesia School of Computer Science Bina Nusantara University Jakarta Indonesia

ISBN: (纸本)9781450348171

The information available in the form of data in Human Resources (HR) to be analyzed will vary greatly depending on the type of organization. Fast and effective Human Resources Systems facilitates the success of an organization. Data science in HR can help determine whether there are patterns of churn in our data that could help predict future churn and find the right candidate of employee. In this paper, we describe the novel model of Intelligent Human Resources Systems (IHRS) using Big Data to analyze and predict about future status of the employees based on the Support Vector Machine (SVM). © 2017 ACM.

关键词： Support vector machines

来源：评论

学校读者我要写书评

暂无评论

A proposed framework in an intelligent recommender system for the college student

引用

Journal of Physics: Conference Series 2019年第6期1402卷

作者： D Kurniadi E Abdurachman H L H S Warnars W Suparta Department of Computer Science BINUS Graduate Program - Doctor of Computer Science Bina Nusantara University Jakarta Indonesia Department of Informatics Sekolah Tinggi Teknologi Garut Garut Indonesia

This article aims to proposed framework an Intelligent Recommender System (IRS) for students in higher education institutions. This conceptual framework includes problems in predicting student performance, the possibility of graduating on time, and recommends choosing subjects according to performance, and career interests, which are useful for assisting pedagogical interventions in future student development. The success in the development and implementation of the proposed IRS framework is inseparable from using data mining and machine learning techniques in predicting and providing recommendations. Data analysis consisted of clustering techniques, association rules, and classification using Support Vector Machine (SVM), Naïve Bayes, and k-Nearest Neighbour (k-NN). These techniques are used to solve problems related to students and to provide appropriate recommendations. The result is an IRS conceptual framework for the college student that can be used as smart agents to provide student guidance and suggestions to support the process of education in higher education.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Use case point as software size measurement with study case of Academic Information System

Use case point as software size measurement with study case ...

引用

2017 IEEE International Conference on Cybernetics and Computational Intelligence, CyberneticsCOM 2017

作者： Safrizal, S. Warnars, Harco Leslie Hendric Spits Gaol, Ford Lumban Abdurachman, Edi Computer Science Department BINUS Graduate Program Bina Nusantara University Jakarta11480 Indonesia Faculty of Technic Satya Negara Indonesia University Jakarta Indonesia Computer Science Department BINUS Graduate Program-Doctor of Computer Science Bina Nusantara University Jakarta11480 Indonesia

ISBN: (纸本)9781538607831

Academic Information System at Satya Negara Indonesia university (USNI) was developed since 2008 and as major systems required for the processes of academic activities process, which support the teaching learning process activities. The Academic information system serving students carry out lectures and gain value in the form of cards in each semester of study results. In order to rebuilding this system the current system will be measured with Use Case Point (UCP) in order to help management when extend the current Academic Information System. UCP will help the management when making their decisions regarding with the development of system in term of time, people and money. Measurement software using the UCP in Academic Information Systems of Satya Negara Indonesia university has score Use Case Point (UCP) = 86.864 and categorized as small software size project which is smaller than 99. © 2017 IEEE.

关键词： Information systems

来源：评论

学校读者我要写书评

暂无评论

Smart City Implementation Modelling in Indonesia with Integration Platform Approach

Smart City Implementation Modelling in Indonesia with Integr...

引用

International Conference on Information Management and Technology (ICIMTech)

作者： Firman Anindra Harco Leslie Hendric Spits Warnars Daniel Moonkee Min Computer Science Department Bina Nusantara University Jakarta Indonesia Department of Digital Management Graduate School of Korea University Seoul Korea

Doing development using Smart City approach has become a necessity. The complexity of the problems facing the government requires a smart solution. Implementation problems of smart city still found in Indonesia, until now still needed a new breakthrough to speed up the implementation process. This paper presents the Integration Platform approach to be an alternative solution for the Smart City implementation model. This open platform concept leverages existing technology resources and applications for shared use. The contribution of this paper is to provide a new alternative solution for policy holders and decisions in government in making smart strategic plans in order to improve the quality of society and public services.

关键词： Smart cities Government Ecosystems Collaboration Cloud computing

来源：评论

学校读者我要写书评

暂无评论

Designing an Institutional Research Management System Framework for Higher Education

Designing an Institutional Research Management System Framew...

引用

International Conference on Information Management and Technology (ICIMTech)

作者： Noerlina Siti Elda Hiererra Bahtiar Saleh Abbas Brilly Andro Makalew Desi Maya Kristin Tirta Nugraha Mursitama David Information Systems Department Bina Nusantara University Jakarta Indonesia Industrial Engineering Department Bina Nusantara University Jakarta Indonesia Mobile Application & Technology Program Bina Nusantara University Jakarta Indonesia International Relations Department Bina Nusantara University Jakarta Indonesia Computer Science Department Bina Nusantara University Jakarta Indonesia

The following topics are dealt with: Internet; organisational aspects; data analysis; educational institutions; information systems; knowledge management; statistical analysis; further education; computer aided instru... 详细信息

关键词： Manuals Education Proposals Information systems Requirements engineering System analysis and design Conferences

来源：评论

学校读者我要写书评

暂无评论

The Form of High-Performance Computing: A Survey

引用

IOP Conference Series: Materials science and Engineering 2019年第5期662卷

作者： Priati Assiroj H L H S Warnars R Kosala B Ranti S Supangat A I Kistijantoro E Abdurrachman Binus Graduate Program Doctor of Computer Science Bina Nusantara University Jakarta Information System Dept. Buana Perjuangan University Karawang Computer Science Department BINUS Graduate Program Doctor of Computer Science Bina Nusantara University Jakarta Information System Department Bina Nusantara University Jakarta Information System Technology Department Institut Teknologi Bandung School of Electronics Engineering and Informatics Institut Teknologi Bandung

Computational technology is an important thing that needed in the whole of human life. Along with the development of computer technology, there are a significant data created and wait to be processed; we will get more advantages if it well-processed, if not we will see the data explosion, the data is just a useless stack. Research mitigates the other research paper and makes a conclusion and a report by PRISMA method. The development of computer technology will support the development of an organization. Considering any factors in choosing the right and suitable high-performance computer resource due to our organization is a must. The existing high-performance computing forms are Supercomputer, Grid Computing, Cluster Computing, and Cloud Computing. Based on this work, the last form of high-performance computing, Cloud Computing is one of the most used forms thus we mitigate its advantages and disadvantages. Recently, to process this vast data, we must have a high-performance computer and to provide it, this is not a cheap resource.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Spatio-Temporal Poverty Analysis with INLA in Hierarchical Bayes Ecological Regression

引用

Procedia computer science 2018年 135卷 323-330页

作者： Ro’fah Nur Rachmawati Novi Hidayat Pusponegoro Statistics Department School of Computer Science Bina Nusantara University Statistics Department Sekolah Tinggi Ilmu Statistik Jl Otista No. 64C Jakarta 13330 Indonesia

Spatio-temporal analysis widely used to describe geo-referenced data that contain information about space and time, with many important response variables and predictors. The models are usually presented as maps to represent the spatial dependence and temporal correlation from time to time. Spatio-temporal models presented in this paper are designed with hierarchical fashion and estimated with INLA (Integrated Nested Laplace Approximation) as the current estimation method for Bayesian analysis. INLA based on latent Gaussian posterior distribution which provides great computational benefit and solve the convergence issue in MCMC (Markov Chain Monte Carlo) algorithm. We model the poverty data set using classical, dynamic and space-time interaction of spatio-temporal models, and investigate the poverty relationship with socio-economics predictors. Using R-INLA package and deviance information criteria for models best fit selection, we conclude dynamical non-parametric is the most proper model on its ecological regressions.

关键词： Areal Data Random Walk parametric trend non-parametric trend.

来源：评论

学校读者我要写书评

暂无评论

Data mining technique with cluster anaysis use K-means algorithm for LQ45 index on Indonesia stock exchange 1

Data mining technique with cluster anaysis use K-means algor...

引用

1st International Conference on Information and Communications Technology, ICOIACT 2018

作者： Condrobimo, A. Raharto Abbas, Bahtiar Saleh Trisetyarso, Agung Suparta, Wayan Kang, Chul-Ho Computer Science Department BINUS Graduate Program - Doctor of Computer Science Bina Nusantara University Jakarta11480 Indonesia Information System Department School of Information System Bina Nusantara University Jakarta11480 Indonesia Civil Engineering Department University of Technology Yogyakarta Yogyakarta Indonesia Department of Electronic and Communication Engineering Kwangwoon University Korea Republic of

ISBN: (纸本)9781538609545

This study aims to apply data mining techniques with cluster analysis on stock data registered in LQ45 in Indonesia Stock Exchange. The cluster analysis used in this method is k-means algorithm, the data in this research is taken from Indonesia Stock Exchange. The cluster analysis in this study analyzed the characteristics of data volumes and stock values, while the results in this study were presented in the form of cluster members visually. Therefore, this cluster analysis in this research can be used for quick and efficient identifier for each member of LQ45 index cluster based on share value for each cluster and its volume. The identification results can be used by beginner-level investors that begun to be interested in stock investments to help make informed decisions about stock trading on desired cluster groups. © 2018 IEEE.

关键词： Cluster analysis

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：