2019 International Seminar on Research of Information Technology and Intelligent Systems (ISRITI)最新文献_第8页

Linear Support Vector Regression in Cloud Computing on Data Encrypted using Paillier Cryptosystem Paillier密码系统加密数据的云计算线性支持向量回归

2019 International Seminar on Research of Information Technology and Intelligent Systems (ISRITI) Pub Date : 2019-12-01 DOI: 10.1109/ISRITI48646.2019.9034657

A. Sari, F. Prasetya

{"title":"Linear Support Vector Regression in Cloud Computing on Data Encrypted using Paillier Cryptosystem","authors":"A. Sari, F. Prasetya","doi":"10.1109/ISRITI48646.2019.9034657","DOIUrl":"https://doi.org/10.1109/ISRITI48646.2019.9034657","url":null,"abstract":"The use of linear support vector regression on private data in cloud computing must consider data privacy. Homomorphic encryption is an approach to address the problem. However, most of the existing approaches still use inefficient fully homomorphic encryption, in which both the training data and the testing data must be encrypted using the same public key. This leads to the repetition of the training process. The problem is addressed in this paper by applying partially homomorphic encryption using Paillier cryptosystem. Operations in linear support vector regression are modified so that they can be applied to process encrypted data. The model is used to predict the motor and total UPDRS (Unified Parkinson's Disease Rating Scale) scores. To assess the performance of the model, the MRSE (Mean Root Square Error) of the prediction on encrypted data is then compared with the MRSE of the prediction on unencrypted data. The evaluation shows that the MRSE of the prediction on encrypted data is exactly the same as that on unencrypted data, which proves that the modification on the operations in linear support vector regression has been done correctly.","PeriodicalId":367363,"journal":{"name":"2019 International Seminar on Research of Information Technology and Intelligent Systems (ISRITI)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131674912","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

Implementation of Genetic Algorithm for Induction Motor Speed Control Based on Vector Control Method 基于矢量控制方法的感应电机速度控制遗传算法的实现

2019 International Seminar on Research of Information Technology and Intelligent Systems (ISRITI) Pub Date : 2019-12-01 DOI: 10.1109/ISRITI48646.2019.9034674

E. Purwanto, Endra Wahjono, I. Ferdiansyah, D. S. Yanaratri, Lucky Pradigta Setiya Raharja, Rachma Prilian Eviningsih, Gamar Basuki

引用次数: 9

The Impact of Local Attention in LSTM for Abstractive Text Summarization LSTM中局部注意对抽象文本摘要的影响

2019 International Seminar on Research of Information Technology and Intelligent Systems (ISRITI) Pub Date : 2019-12-01 DOI: 10.1109/ISRITI48646.2019.9034616

Puruso Muhammad Hanunggul, S. Suyanto

引用次数: 20

Recommender System for e-Learning based on Personal Learning Style 基于个人学习风格的电子学习推荐系统

2019 International Seminar on Research of Information Technology and Intelligent Systems (ISRITI) Pub Date : 2019-12-01 DOI: 10.1109/ISRITI48646.2019.9034568

N. N. Qomariyah, A. Fajar

{"title":"Recommender System for e-Learning based on Personal Learning Style","authors":"N. N. Qomariyah, A. Fajar","doi":"10.1109/ISRITI48646.2019.9034568","DOIUrl":"https://doi.org/10.1109/ISRITI48646.2019.9034568","url":null,"abstract":"Online shopping has become an important part of lifestyle nowadays. Despite their many practical advantages, the users of online shopping systems can be overwhelmed with the abundant information about the goods they want to buy. While some users start their search with a preference for certain items or manufacturers, others may find it difficult to narrow down the range of options being offered. The recommender system can assist the users to filter the information and show the most relevant items to the users. Despite being very popular in ecommerce area, research on recommender systems for education is still underexplored. Similar to the users of ecommerce system, some students may also feel overwhelmed by the available choices of material contents offered by the elearning system in which, it does not always suit to their learning style. This is important as some experts in educational psychology suggest that students need to learn by following their personal learning style. We propose an implementation design of e-learning recommender system based on a logic approach, APARELL (Active Pairwise Relation Learner), which has been implemented for used car sales domain. There is an opportunity to apply the same procedure for e-learning system to help the student to choose the best material according to their preferences. We also propose an ontology of material content based on the different learning styles. In this paper, we show that there is a big potential to implement a personalised recommender system in e-learning based on the students learning style.","PeriodicalId":367363,"journal":{"name":"2019 International Seminar on Research of Information Technology and Intelligent Systems (ISRITI)","volume":"259 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115957908","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: 16

Hierarchical SVM-kNN to Classify Music Emotion 层次SVM-kNN对音乐情感的分类

2019 International Seminar on Research of Information Technology and Intelligent Systems (ISRITI) Pub Date : 2019-12-01 DOI: 10.1109/ISRITI48646.2019.9034651

Qhansa Di'ayu Putri Bayu, S. Suyanto, A. Arifianto

引用次数: 6

Classification of Cervical Type Image Using Capsule Networks 基于胶囊网络的宫颈类型图像分类

2019 International Seminar on Research of Information Technology and Intelligent Systems (ISRITI) Pub Date : 2019-12-01 DOI: 10.1109/ISRITI48646.2019.9034663

Bemedict Wimpy, S. Suyanto

引用次数: 7

Comparison of A* Algorithm and Time Bounded A* Algorithm on Maze Chase Game NPC A*算法与限时A*算法在迷宫追逐游戏NPC中的比较

2019 International Seminar on Research of Information Technology and Intelligent Systems (ISRITI) Pub Date : 2019-12-01 DOI: 10.1109/ISRITI48646.2019.9034566

Fahryandi Herlasmara Putra, Surya Michrandi Nasution, Ratna Astuti Nugrahaeni

引用次数: 0

Implementation of Lamp Control System by Reccurent Neural Network and Long-Short Term Memory 用循环神经网络和长短期记忆实现灯具控制系统

2019 International Seminar on Research of Information Technology and Intelligent Systems (ISRITI) Pub Date : 2019-12-01 DOI: 10.1109/ISRITI48646.2019.9034645

Priscilya Inri Sasia, Muhammad Ary Murti, C. Setianingsih

引用次数: 0

SpecAugment Impact on Automatic Speaker Verification System SpecAugment对自动说话人验证系统的影响

2019 International Seminar on Research of Information Technology and Intelligent Systems (ISRITI) Pub Date : 2019-12-01 DOI: 10.1109/ISRITI48646.2019.9034603

M. Faisal, S. Suyanto

引用次数: 16

Discrete Firefly Algorithm for an Examination Timetabling 考试排课的离散萤火虫算法

2019 International Seminar on Research of Information Technology and Intelligent Systems (ISRITI) Pub Date : 2019-12-01 DOI: 10.1109/ISRITI48646.2019.9034668

Febry Ghaisani, S. Suyanto

引用次数: 22