2016 International Conference on Advanced Computer Science and Information Systems (ICACSIS)最新文献_第5页

Single-output recurrent neural networks for sentence binary classification 用于句子二分类的单输出递归神经网络

2016 International Conference on Advanced Computer Science and Information Systems (ICACSIS) Pub Date : 2016-10-01 DOI: 10.1109/ICACSIS.2016.7872723

A. Wicaksono, M. Adriani

引用次数: 1

Combination of relief feature selection and fuzzy K-nearest neighbor for plant species identification 地形特征选择与模糊k近邻相结合的植物物种识别

2016 International Conference on Advanced Computer Science and Information Systems (ICACSIS) Pub Date : 2016-10-01 DOI: 10.1109/ICACSIS.2016.7872767

A. Ambarwari, Y. Herdiyeni, Taufik Djatna

引用次数: 7

DBpedia entities expansion in automatically building dataset for Indonesian NER DBpedia实体在印尼NER自动建立数据集中的扩展

2016 International Conference on Advanced Computer Science and Information Systems (ICACSIS) Pub Date : 2016-10-01 DOI: 10.1109/ICACSIS.2016.7872784

Ika Alfina, R. Manurung, M. I. Fanany

引用次数: 12

Assessing knowledge management implementation readiness in Faculty of Computer Science, Universitas Indonesia 评估印尼大学计算机科学学院的知识管理实施准备情况

2016 International Conference on Advanced Computer Science and Information Systems (ICACSIS) Pub Date : 2016-10-01 DOI: 10.1109/ICACSIS.2016.7872743

W. R. Fitriani, A. Putra, Dipta Tanaya, H. N. Rochman, Elin Cahyaningsih, D. I. Sensuse

引用次数: 8

Numerical methods for initialization in fodder composition optimization 饲料组合优化初始化的数值方法

2016 International Conference on Advanced Computer Science and Information Systems (ICACSIS) Pub Date : 2016-10-01 DOI: 10.1109/ICACSIS.2016.7872730

V. N. Wijayaningrum, Fitri Utaminingrum

引用次数: 10

Wearable computing with computer input just by sight for health care 可穿戴式计算机，只需通过视觉输入即可用于医疗保健

2016 International Conference on Advanced Computer Science and Information Systems (ICACSIS) Pub Date : 2016-10-01 DOI: 10.1109/ICACSIS.2016.7872715

K. Arai

引用次数: 0

Multimodal Deep Boltzmann Machines for feature selection on gene expression data 基因表达数据特征选择的多模态深度玻尔兹曼机

2016 International Conference on Advanced Computer Science and Information Systems (ICACSIS) Pub Date : 2016-10-01 DOI: 10.1109/ICACSIS.2016.7872733

A. F. Syafiandini, Ito Wasito, S. Yazid, Aries Fitriawan, Mukhlis Amien

{"title":"Multimodal Deep Boltzmann Machines for feature selection on gene expression data","authors":"A. F. Syafiandini, Ito Wasito, S. Yazid, Aries Fitriawan, Mukhlis Amien","doi":"10.1109/ICACSIS.2016.7872733","DOIUrl":"https://doi.org/10.1109/ICACSIS.2016.7872733","url":null,"abstract":"In this paper, multimodal Deep Boltzmann Machines (DBM) is employed to learn important genes (biomarkers) on gene expression data from human carcinoma colorectal. The learning process involves gene expression data and several patient phenotypes such as lymph node and distant metastasis occurrence. The proposed framework in this paper uses multimodal DBM to train records with metastasis occurrence. Later, the trained model is tested using records with no metastasis occurrence. After that, Mean Squared Error (MSE) is measured from the reconstructed and the original gene expression data. Genes are ranked based on the MSE value. The first gene has the highest MSE value. After that, k-means clustering is performed using various number of genes. Features that give the highest purity index are considered as the important genes. The important genes obtained from the proposed framework and two sample t-test are being compared. From the accuracy of metastasis classification, the proposed framework gives higher results compared to the top genes from two sample t-test.","PeriodicalId":267924,"journal":{"name":"2016 International Conference on Advanced Computer Science and Information Systems (ICACSIS)","volume":"204 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115159627","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: 6

The evaluation of information technology governance and the prioritization of process improvement using control objectives for information and related technology version 5: Case study on the ministry of foreign affairs 利用信息和相关技术的控制目标评价信息技术治理和确定流程改进的优先次序第5版:外交部案例研究

2016 International Conference on Advanced Computer Science and Information Systems (ICACSIS) Pub Date : 2016-10-01 DOI: 10.1109/ICACSIS.2016.7872761

E. Erlangga, Y. G. Sucahyo, M. K. Hammi

{"title":"The evaluation of information technology governance and the prioritization of process improvement using control objectives for information and related technology version 5: Case study on the ministry of foreign affairs","authors":"E. Erlangga, Y. G. Sucahyo, M. K. Hammi","doi":"10.1109/ICACSIS.2016.7872761","DOIUrl":"https://doi.org/10.1109/ICACSIS.2016.7872761","url":null,"abstract":"According to 2015 Performance Reports, the Ministry of Foreign Affairs' Key Performance Indicator (KPI): Percentage of Information Technology Master Plan Implementation performance falls into the poor category. Through root cause analysis, it is identified that the KPI's poor performance is caused by the evaluation of information technology (IT) governance has never been performed. By performing such evaluation, the organzation's status of IT governance can be determined, and then based on the status constructs the recommendations for improvement. COBIT 5 framework was used in this study as a frame of reference for assessing the capability level of the Ministry of Foreign Affairs' IT governance, prioritizing and constructing the recommendations for process improvement. The assessment of process capability using Process Assessment Model (PAM) generates an average rating of 0.7, where 1 process is at level 2 (managed), 15 processes are at level 1 (performed), and 21 processes are still at level 0 (incomplete). Prioritization using pain points yields 15 prioritized processes for immediate improvement. The recommendations for improvement are constructed using the provided COBIT 5's guidance, in the form of activities and best practices for each IT process.","PeriodicalId":267924,"journal":{"name":"2016 International Conference on Advanced Computer Science and Information Systems (ICACSIS)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128951402","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: 7

Knowledge home 知识回家

2016 International Conference on Advanced Computer Science and Information Systems (ICACSIS) Pub Date : 2016-10-01 DOI: 10.1109/icacsis.2016.7872717

Ramjee Prasad

{"title":"Knowledge home","authors":"Ramjee Prasad","doi":"10.1109/icacsis.2016.7872717","DOIUrl":"https://doi.org/10.1109/icacsis.2016.7872717","url":null,"abstract":"A novel concept, termed as Knowledge Home, is introduced in this paper. The Knowledge Home encompasses a virtual Home with the ability of identifying different human senses and feelings and transmitting them through wireless communication technology. Modern communication technologies are helping humankind to achieve a high level of quality of life. Earlier, Human Bond Communication (HBC) was introduced to the community as a new concept of transmitting five humankind senses. This paper proposes to combine the achieved Knowledge from the HBC transmission with the ability of transmission of different human feelings and make a Knowledge Home. The Knowledge Home is a virtual center, where people can communicate with their five senses namely, optic (seeing), auditory (hearing), olfactory (smelling), gustatory (tasting) and tactile (touching) and should be able to transmit their feelings such as optimism, love, submission, awe, disappointment, remorse, contempt and aggression. The output of the Knowledge Home is to have a safe, reliable, pleasant, and conversant environment to live in and to communicate. This idea could advance human kind to the dream place where one has thought of it from the first day of existence.","PeriodicalId":267924,"journal":{"name":"2016 International Conference on Advanced Computer Science and Information Systems (ICACSIS)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121014416","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

Enhancing tomato clustering evaluation using color correction with improved linear regression in preprocessing phase 预处理阶段改进线性回归的颜色校正增强番茄聚类评价

2016 International Conference on Advanced Computer Science and Information Systems (ICACSIS) Pub Date : 2016-10-01 DOI: 10.1109/ICACSIS.2016.7872731

Y. A. Sari, Sigit Adinugroho, R. V. Ginardi, N. Suciati

引用次数: 5