2019 First International Conference of Intelligent Computing and Engineering (ICOICE)最新文献_第5页

Recent Progress of Named Entity Recognition over the Most Popular Datasets 基于最流行数据集的命名实体识别研究进展

2019 First International Conference of Intelligent Computing and Engineering (ICOICE) Pub Date : 2019-12-01 DOI: 10.1109/ICOICE48418.2019.9035170

M. Albared, Marc Gallofré Ocaña, Abdullah S. Ghareb, Tareq Al-Moslmi

引用次数: 5

Bidirectional Feature Transfer for Cross-Domain Sentiment Analysis 面向跨域情感分析的双向特征转移

2019 First International Conference of Intelligent Computing and Engineering (ICOICE) Pub Date : 2019-12-01 DOI: 10.1109/ICOICE48418.2019.9035194

Tareq Al-Moslmi, M. Albared, Adel Al-Shabi, S. Abdullah, N. Omar

引用次数: 1

Breast Tumor Diagnosis using Machine Learning with Microwave Probes 微波探针机器学习诊断乳腺肿瘤

2019 First International Conference of Intelligent Computing and Engineering (ICOICE) Pub Date : 2019-12-01 DOI: 10.1109/ICOICE48418.2019.9035150

M. Aldhaeebi, Saeed M. Bamatraf, O. Ramahi, Saeed A. Binajjaj

引用次数: 0

Shallow vs. Deep Image Representations: A comparative Study Applied for the Problem of Generic Object Recognition 浅与深图像表示:用于通用对象识别问题的比较研究

2019 First International Conference of Intelligent Computing and Engineering (ICOICE) Pub Date : 2019-12-01 DOI: 10.1109/ICOICE48418.2019.9035136

Yasser M. Abdullah, Mussa M. Ahmed

{"title":"Shallow vs. Deep Image Representations: A comparative Study Applied for the Problem of Generic Object Recognition","authors":"Yasser M. Abdullah, Mussa M. Ahmed","doi":"10.1109/ICOICE48418.2019.9035136","DOIUrl":"https://doi.org/10.1109/ICOICE48418.2019.9035136","url":null,"abstract":"The traditional approach for solving the object recognition problem requires image representations to be first extracted and then fed to a learning model such as an SVM to learn the classification decision boundary. These representations are handcrafted and heavily engineered by running the object image through a sequence of pipeline processes that require a good prior knowledge of the problem domain. However, in end-to-end deep learning models, image representations along with classification decision boundary are all learnt directly from the raw image pixels requiring no prior knowledge of the problem domain. Moreover, the deep model features are more discriminative than handcrafted ones since the model is trained to discriminate between features belonging to different classes. The purpose of this study is six fold: (1) review the literature of the pipeline processes used in the previous state-of-the-art codebook model approach for tackling the problem of generic object recognition, (2) Introduce several enhancements in the local feature extraction and normalization processes of the recognition pipeline, (3) compare the enhancements proposed to different encoding methods and contrast them to previous results, (4) experiment with current state-of-the-art deep model architectures used for object recognition, (5) compare between deep representations extracted from the deep learning model and shallow representations handcrafted by an expert and produced through the recognition pipeline, and finally, (6) improve the results further by combining multiple different deep learning models into an ensemble and taking the maximum posterior probability.","PeriodicalId":109414,"journal":{"name":"2019 First International Conference of Intelligent Computing and Engineering (ICOICE)","volume":"44 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":"128133804","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 Efficient Implementation of LED Block Cipher on FPGA LED分组密码在FPGA上的高效实现

2019 First International Conference of Intelligent Computing and Engineering (ICOICE) Pub Date : 2019-12-01 DOI: 10.1109/ICOICE48418.2019.9035193

M. Al-Shatari, F. Hussin, A. Aziz, G. Witjaksono, M. S. Rohmad, Xuan-Tu Tran

{"title":"An Efficient Implementation of LED Block Cipher on FPGA","authors":"M. Al-Shatari, F. Hussin, A. Aziz, G. Witjaksono, M. S. Rohmad, Xuan-Tu Tran","doi":"10.1109/ICOICE48418.2019.9035193","DOIUrl":"https://doi.org/10.1109/ICOICE48418.2019.9035193","url":null,"abstract":"LED is an ultra-lightweight block cipher targeting resource-constrained devices. The current hardware architectures of this cipher utilize large logic area, operate in low frequencies and have low throughput. To improve the trade-offs between area utilization and performance, an iterative round-based architecture of LED block cipher is implemented in this paper. LED algorithm is available in 64-bit and 128-bit key sizes. In this paper, the focus is on the 64-bit key with 64-bit block size. This algorithm is implemented on various Field Programmable Gate Array (FPGA) devices. The design is verified on several Altera and Xilinx devices using Altera Quartus II, ModelSim and Xilinx ISE simulators. Both low-cost and high-end FPGA devices were targeted. Tradeoffs between area and performance were considered, with the optimization for performance. The throughput and maximum operating frequency are benchmarked with the existing literature and better performance is achieved. The results show large improvements in maximum operating frequency and throughput as well as reduction in area utilization compared to recent designs of round-based LED block cipher.","PeriodicalId":109414,"journal":{"name":"2019 First International Conference of Intelligent Computing and Engineering (ICOICE)","volume":"111 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":"128160005","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: 8

Rain-streaks Detection and Removal In Single Image Using Curvelet Transform 基于曲线变换的单幅图像雨纹检测与去除

2019 First International Conference of Intelligent Computing and Engineering (ICOICE) Pub Date : 2019-12-01 DOI: 10.1109/ICOICE48418.2019.9035161

A. A. Bahashwan, P. Ehkan, Syed Alwee Aljunid Syed Junid, A. Safar, Mazen Abdullah Bahashwan, Adel Hafeezallah

引用次数: 0

Image Steganography Based on LSB Matching and Image Enlargement 基于LSB匹配和图像放大的图像隐写

2019 First International Conference of Intelligent Computing and Engineering (ICOICE) Pub Date : 2019-12-01 DOI: 10.1109/ICOICE48418.2019.9035172

Naziha Al-Aidroos, H. Bahamish

引用次数: 4

Ubiquitous Computing Environment: literature review 普适计算环境:文献综述

2019 First International Conference of Intelligent Computing and Engineering (ICOICE) Pub Date : 2019-12-01 DOI: 10.1109/ICOICE48418.2019.9035157

Sarah Abdalrahman Alshqaqi, Ammar T. Zahary, M. M. Zayed

引用次数: 0

Deluge Harmony Search Algorithm For Nurse Rostering Problems 护士名册问题的洪水和谐搜索算法

2019 First International Conference of Intelligent Computing and Engineering (ICOICE) Pub Date : 2019-12-01 DOI: 10.1109/ICOICE48418.2019.9035163

Mohammed Hadwan, M. Ayob, M. Rassam, Essa A. Hezam

{"title":"Deluge Harmony Search Algorithm For Nurse Rostering Problems","authors":"Mohammed Hadwan, M. Ayob, M. Rassam, Essa A. Hezam","doi":"10.1109/ICOICE48418.2019.9035163","DOIUrl":"https://doi.org/10.1109/ICOICE48418.2019.9035163","url":null,"abstract":"Harmony search algorithm (HSA) is one of the relatively new metaheuristic algorithms that classified under population-based search algorithms. Based on literature, hybridizing local-based searching algorithms with population-based algorithms can improve the performance of hybridized algorithms. This research is an extension to our previous work that focus on solving Nurse Rostering Problems (NRP) using hybrid metaheuristic algorithms. One of the improved version of HSA is enhanced harmony search algorithm (EHSA) where it overcomes some of the weaknesses of basic HSA. Slow convergence is noticed in EHSA which encourage us to hybridize it with other metaheuristic algorithms to improve its performance. In this research, EHSA is hybridized with great deluge algorithm (GD) and called Deluged harmony search algorithm (DHSA). DHSA then compared to CHSA (the hybridization of EHSA with Hill climbing (HC)) which developed earlier. To strike the balance between exploration and exploitation, the exploration stage run using EHSA and the exploitation stage used GD. DHSA is tested to solve a real world NRP problem at National University Malaysia Medical Center (UKMMC). The results show that, DHSA performed much better than CHSA in all instances in terms of solution quality with slightly higher execution time.","PeriodicalId":109414,"journal":{"name":"2019 First International Conference of Intelligent Computing and Engineering (ICOICE)","volume":"43 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":"122931725","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: 28

Two-Level Frame Aggregation Scheme Under Unreliable Channel Conditions for IEEE 802.11n WLANs: A Survey IEEE 802.11n无线局域网中信道不可靠条件下的两级帧聚合方案研究

2019 First International Conference of Intelligent Computing and Engineering (ICOICE) Pub Date : 2019-12-01 DOI: 10.1109/ICOICE48418.2019.9035181

Fatoumata Sorra, M. Othman, Fakrul Hakim, Mohamed A. Alrshah, M. Abdullah, Anwar Saif

{"title":"Two-Level Frame Aggregation Scheme Under Unreliable Channel Conditions for IEEE 802.11n WLANs: A Survey","authors":"Fatoumata Sorra, M. Othman, Fakrul Hakim, Mohamed A. Alrshah, M. Abdullah, Anwar Saif","doi":"10.1109/ICOICE48418.2019.9035181","DOIUrl":"https://doi.org/10.1109/ICOICE48418.2019.9035181","url":null,"abstract":"Frame Aggregation schemes defined by IEEE 802.11n is the combination of the Aggregate MAC Service Data Unit (A-MSDU) and MAC Protocol Data Unit (A- MPDU). The units are aimed at maximizing Wireless Local Area Networks (WLANs) efficiency at Media Access Control (MAC) level, via the sharing of headers and timing overheads. Moreover, the combination of A-MSDU and A-MPDU is known as Two-level frame aggregation. In spite of their abilities in improving the throughput of MAC Layer, the scheme is still limited by other overheads as a result of aggregation which affects the system performance. Block Acknowledgement (Block ACK) and Frame aggregation were introduced in order to minimize MAC Layer overheads. Still, there are some parameters that affect the aggregation performance, such as aggregate length, sub frame size and channel condition overheads. A-MPDU in other hand minimizes the effect of error condition through sub frame transmission. Therefore, A- MPDU aggregation performances, its limitations, and its promising performances motivated this survey to focus on enhancing Aggregation Mac Protocol Data Unit (eA-MPDU) performance by minimizing the headers overheads of the Two-Level Frame Aggregation Scheme, for the reduction of the channel noise, which by its role will increase the Signal Noise Ratio (SNR) and improve the throughput.","PeriodicalId":109414,"journal":{"name":"2019 First International Conference of Intelligent Computing and Engineering (ICOICE)","volume":"25 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":"121177396","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