2018 International Conference on Computer, Control, Informatics and its Applications (IC3INA)最新文献

Modified Generalized Random Grids-Based Progressive Secret Sharing with Lossless Ability for Binary Image 基于改进广义随机网格的二值图像无损渐进秘密共享

2018 International Conference on Computer, Control, Informatics and its Applications (IC3INA) Pub Date : 2018-11-01 DOI: 10.1109/IC3INA.2018.8629513

Heri Prasetyo, D. Rosiyadi, S. Horng

引用次数: 9

Opinion QA-Pairs Generation From Indonesian Twitter 来自印尼推特的意见问答

2018 International Conference on Computer, Control, Informatics and its Applications (IC3INA) Pub Date : 2018-11-01 DOI: 10.1109/IC3INA.2018.8629516

Wiwin Suwarningsih Nuryani

引用次数: 2

Design of Causal Compensator for Dual Periods Repetitive Control System 双周期重复控制系统的因果补偿器设计

2018 International Conference on Computer, Control, Informatics and its Applications (IC3INA) Pub Date : 2018-11-01 DOI: 10.1109/IC3INA.2018.8629546

E. Kurniawan, Nurhanifiyah Azura, B. Widiyatmoko, D. Bayuwati

引用次数: 0

The Indonesian Law Enforcement Challenges over Encrypted Global Social Networking Platforms 印尼执法部门对加密全球社交网络平台的挑战

2018 International Conference on Computer, Control, Informatics and its Applications (IC3INA) Pub Date : 2018-11-01 DOI: 10.1109/IC3INA.2018.8629528

Vience Mutiara Rumata, A. S. Sastrosubroto

{"title":"The Indonesian Law Enforcement Challenges over Encrypted Global Social Networking Platforms","authors":"Vience Mutiara Rumata, A. S. Sastrosubroto","doi":"10.1109/IC3INA.2018.8629528","DOIUrl":"https://doi.org/10.1109/IC3INA.2018.8629528","url":null,"abstract":"The usage of instant messaging continues to grow annually in Indonesia. The shifting of mobile communication from traditional voice and SMS based telecommunication to global internet based social networks and instant messaging has brought new challenges for the government. The end-to- end encryption model which is commonly adopted in global instant messaging applications, such as Whatsapp, may challenge the interception procedures by law enforcers. This is a traditional literature review on current Indonesian policies and regulations. Scientific papers were purposively selected in supporting the arguments. The discussion of the paper consists of three sections: 1) Interception and Data Protection; 2) The Indonesian regulatory challenges; 3) The policy recommendations. The current regulation most likely is insufficient to support lawful interception (LI) for encrypted voice and text on instant messaging plaftorms. The practical implementation of the Law towards foreign instant messaging providers remain constrain particularly the Permanent Establishment status. In respect of ongoing process of LI bill drafting, this paper suggests the bill should accommodate the Circular Letter of the Minister of Communication and Information Technology regarding the formation of Permanent Establishment for foreign electronic system and transaction providers.","PeriodicalId":179466,"journal":{"name":"2018 International Conference on Computer, Control, Informatics and its Applications (IC3INA)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129106773","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

Cancer Detection Based on Microarray Data Classification with Ant Colony Optimization and Modified Backpropagation Conjugate Gradient Polak-Ribiére 基于蚁群优化和改进反向传播共轭梯度polak - ribi<s:1>的微阵列数据分类的癌症检测

2018 International Conference on Computer, Control, Informatics and its Applications (IC3INA) Pub Date : 2018-11-01 DOI: 10.1109/IC3INA.2018.8629506

D. P. Aldryan, Adiwijaya, Aditsania Annisa

{"title":"Cancer Detection Based on Microarray Data Classification with Ant Colony Optimization and Modified Backpropagation Conjugate Gradient Polak-Ribiére","authors":"D. P. Aldryan, Adiwijaya, Aditsania Annisa","doi":"10.1109/IC3INA.2018.8629506","DOIUrl":"https://doi.org/10.1109/IC3INA.2018.8629506","url":null,"abstract":"Based on IARC, cancer is the deadliest disease in the world. Microarray data technology is created to make it easier for doctors to diagnose cancer faster. This technology brings a glimmer of hope for researchers to prevent cancer from an early age. Microarray data has huge data dimension, with hundreds of sample and thousands of features. This paper presents a classification system using Modified Backpropagation with Conjugate Gradient Polak-Ribiere and Ant Colony Optimization as the gene selection. By using the fundamental function of human body’s neural network, MBP Conjugate Gradient Polak-Ribiere can classify the microarray data, whereas, with the application of ACO as gene selector, important genes will be selected so that MBP optimization is achieved. MBP has been known for its ability to process microarray data with huge dimension. MBP is perfect for microarray data processing. While ACO is a new method developed by previous researchers to perform feature selection. In this study, it is found that the classification of MBP can reach the F-Measure score of 0.7297. When combined with ACO as feature selection, the score increases by 0.8635. ACO is proven to optimize the classification method of microarray cancer data very well.","PeriodicalId":179466,"journal":{"name":"2018 International Conference on Computer, Control, Informatics and its Applications (IC3INA)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114082338","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: 11

Angular Position Control of Brushless DC Motor Using Cuckoo Search algorithm Optimized PD Controller 基于布谷鸟搜索算法优化PD控制器的无刷直流电动机角位置控制

2018 International Conference on Computer, Control, Informatics and its Applications (IC3INA) Pub Date : 2018-11-01 DOI: 10.1109/IC3INA.2018.8629543

R. A. Ardiansyah, E. Yazid

引用次数: 0

Long Short-Term Memory Based Language Model for Indonesian Spontaneous Speech Recognition 基于长短期记忆的印尼语自发语音识别语言模型

2018 International Conference on Computer, Control, Informatics and its Applications (IC3INA) Pub Date : 2018-11-01 DOI: 10.1109/IC3INA.2018.8629500

Fanda Yuliana Putri, D. Lestari, D. H. Widyantoro

{"title":"Long Short-Term Memory Based Language Model for Indonesian Spontaneous Speech Recognition","authors":"Fanda Yuliana Putri, D. Lestari, D. H. Widyantoro","doi":"10.1109/IC3INA.2018.8629500","DOIUrl":"https://doi.org/10.1109/IC3INA.2018.8629500","url":null,"abstract":"A robust recognition performance in daily or spontaneous conversation becomes necessary for a speech recognizer when deployed in real world applications. Meanwhile, the Indonesian speech recognition system (ASR) still has poor performance compared to dictated speech. In this work, we used deep neural networks approach, focused primarily on using long short-term memory (LSTM) to improve the language model performance as it has been successfully applied to many long context-dependent problems including language modeling. We tried different architectures and parameters to get the optimal combination, including deep LSTMs and LSTM with projection layer (LSTMP). Thereafter, different type of corpus was employed to enrich the language model linguistically. All our LSTM language models achieved significant improvement in terms of perplexity and word error rate (%WER) compared to n-gram as the baseline. The perplexity improvement was up to 50.6% and best WER reduction was 3.61% as evaluated with Triphone GMM- HMM acoustic model. The optimal architecture combination we got is deep LSTMP with L2 regularization.","PeriodicalId":179466,"journal":{"name":"2018 International Conference on Computer, Control, Informatics and its Applications (IC3INA)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121785786","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: 4

Optimal PD Tracking Control of a Quadcopter Drone Using Adaptive PSO Algorithm 基于自适应粒子群算法的四轴无人机PD最优跟踪控制

2018 International Conference on Computer, Control, Informatics and its Applications (IC3INA) Pub Date : 2018-11-01 DOI: 10.1109/IC3INA.2018.8629504

E. Yazid, Matthew A. Garrat, Fendy Santoso

引用次数: 2

Evaluating the Morphological and Capitalization Features for Word Embedding-Based POS Tagger in Bahasa Indonesia 印尼语基于词嵌入的POS标注器的词法和大写特征评价

2018 International Conference on Computer, Control, Informatics and its Applications (IC3INA) Pub Date : 2018-11-01 DOI: 10.1109/IC3INA.2018.8629519

L. Manik, Arida Ferti Syafiandini, Hani Febri Mustika, Achmad Fatchuttamam Abka, Y. Rianto

引用次数: 7

AdaBoost Noise Estimator for Subspace based Speech Enhancement 基于子空间语音增强的AdaBoost噪声估计器

2018 International Conference on Computer, Control, Informatics and its Applications (IC3INA) Pub Date : 2018-11-01 DOI: 10.1109/IC3INA.2018.8629545

Rico Dahlan

引用次数: 5