2017 8th International Conference on Information Technology (ICIT)最新文献

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Implementation evaluation of Cuckoo search for the benchmark Rosenbrock test function 实现布谷鸟搜索评估为基准的Rosenbrock测试函数
2017 8th International Conference on Information Technology (ICIT) Pub Date : 2017-05-01 DOI: 10.1109/ICITECH.2017.8080022
Julius Beneoluchi Odili, A. Romli
{"title":"Implementation evaluation of Cuckoo search for the benchmark Rosenbrock test function","authors":"Julius Beneoluchi Odili, A. Romli","doi":"10.1109/ICITECH.2017.8080022","DOIUrl":"https://doi.org/10.1109/ICITECH.2017.8080022","url":null,"abstract":"This paper presents the implementation evaluation of the benchmark Rosenbrock test function with particular emphasis on the effect of the search population and iterations count in the Cuckoo Search algorithm's quest for good solutions. After a number of experimental procedures, this study reveals that deploying a population of 10 nests is sufficient to obtain good solutions to the Rosenbrock test function (or any similar problem to this test landscape). In fact, increasing the search population to 50 nests was a demerit to the Cuckoo Search as it resulted in longer processing time and worse outcomes. In terms of the iteration count, it was discovered that the Cuckoo Search can obtain good results in as little as 100 to 10,000 iterations. The outcome of this study is beneficial to the research community as it will help in facilitating the choice of parameters whenever one is confronted with a similar problem.","PeriodicalId":102480,"journal":{"name":"2017 8th International Conference on Information Technology (ICIT)","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131995244","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
Utility classes detection metrics for execution trace analysis 用于执行跟踪分析的实用程序类检测度量
2017 8th International Conference on Information Technology (ICIT) Pub Date : 2017-05-01 DOI: 10.1109/ICITECH.2017.8080044
Hasan Abualese, P. Sumari, Thamer Al-Rousan, M. Al-Mousa
{"title":"Utility classes detection metrics for execution trace analysis","authors":"Hasan Abualese, P. Sumari, Thamer Al-Rousan, M. Al-Mousa","doi":"10.1109/ICITECH.2017.8080044","DOIUrl":"https://doi.org/10.1109/ICITECH.2017.8080044","url":null,"abstract":"Execution trace analysis is particularly valuable in the context of object-oriented software comprehension for the maintenance tasks. It involves analyzing dynamic information and behaviors that are stored in the execution trace. However, the execution traces of current object-oriented software systems tend to be very large in terms of complexity and size. In particular, classes and coupling features form a very complicated interwoven lattice of the dynamic dependencies. This research focuses on detecting and removing utility classes from an execution trace. Utility detection and removal techniques are very useful in reducing the structural complexity of execution traces for software comprehension process. For this purpose, two new utility classes detection metrics based on dynamic coupling have been introduced to measure the extent to which a class can be considered as a utility.","PeriodicalId":102480,"journal":{"name":"2017 8th International Conference on Information Technology (ICIT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130269317","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: 5
Detection of bypass fraud based on speaker recognition 基于说话人识别的旁路欺诈检测
2017 8th International Conference on Information Technology (ICIT) Pub Date : 2017-05-01 DOI: 10.1109/ICITECH.2017.8079914
Osama Mohamed Elrajubi, A. Elshawesh, Mustafa Ali Abuzaraida
{"title":"Detection of bypass fraud based on speaker recognition","authors":"Osama Mohamed Elrajubi, A. Elshawesh, Mustafa Ali Abuzaraida","doi":"10.1109/ICITECH.2017.8079914","DOIUrl":"https://doi.org/10.1109/ICITECH.2017.8079914","url":null,"abstract":"In telecommunication industry, fraud becomes a serious problem that affects telecommunications service providers all around the world. As a significant amount of revenue losses to fraud every year, so an efficient system to detect fraud activities is greatly required. A well-known fraud which affects GSM and PSTN service providers is Bypass fraud. It is used to avoid a charge of international calls. However, a fraud cannot be completely eradicated, an early detection of a fraud will minimize the loss in revenue. In this paper a new approach of detection system of Bypass Fraud is proposed. The proposed system based on the speaker recognition techniques to detect any fraud based on the user profiling.","PeriodicalId":102480,"journal":{"name":"2017 8th International Conference on Information Technology (ICIT)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115104499","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: 2
The determination of coastline changes using artificial neural networks in Yamula Dam Lake, Turkey 土耳其亚穆拉坝湖岸线变化的人工神经网络测定
2017 8th International Conference on Information Technology (ICIT) Pub Date : 2017-05-01 DOI: 10.1109/ICITECH.2017.8079936
M. H. Kesikoglu, S. Y. Çiçekli, T. Kaynak, Coskun Ozkan
{"title":"The determination of coastline changes using artificial neural networks in Yamula Dam Lake, Turkey","authors":"M. H. Kesikoglu, S. Y. Çiçekli, T. Kaynak, Coskun Ozkan","doi":"10.1109/ICITECH.2017.8079936","DOIUrl":"https://doi.org/10.1109/ICITECH.2017.8079936","url":null,"abstract":"Yamula Dam Lake is an important area constructed for the purpose of producing hydroelectric energy and irrigation. In this study, the coastline boundary changes occurred in a part of Yamula Dam Lake in Kayseri province were examined using three multispectral Landsat 8 LDCM satellite images of March, August and November 2016. Firstly, image-to-image registration process was performed to conform the image coordinate systems of images to each other. The radiometric calibration process wasn't done, since there was not any process related to the reflectance and radiance values when determining the coastline boundary change. Then, each satellite image was classified into two information classes, namely water and other fields by using artificial neural network method. The change images were created for March-August and August-November pairs by using the obtained classification images. The changes in coastline boundary were determined by the post classification comparison method. Consequently, bi-directional changes from water to land and from land to water were detected in Yamula Dam Lake.","PeriodicalId":102480,"journal":{"name":"2017 8th International Conference on Information Technology (ICIT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125976644","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: 9
Keynote speakers big data and the internet of things (IoT) challenges and opportunities 大数据和物联网(IoT)的挑战和机遇
2017 8th International Conference on Information Technology (ICIT) Pub Date : 2017-05-01 DOI: 10.1109/ICITECH.2017.8080082
T. Taha, R. Abdullah
{"title":"Keynote speakers big data and the internet of things (IoT) challenges and opportunities","authors":"T. Taha, R. Abdullah","doi":"10.1109/ICITECH.2017.8080082","DOIUrl":"https://doi.org/10.1109/ICITECH.2017.8080082","url":null,"abstract":"The IoT faces several challenges including security, privacy, scalability, etc. In addition, another major challenges of IoT is the processing, storing, and analyzing the large amount of data that comes from so many different resources. On the other hand, the IoT has many applications that are extremely useful in our daily life, such as smart cars, home appliances and security, health tracking wearable devices, weather monitors, etc. In this talk, I will present the challenges and discuss possible solutions.","PeriodicalId":102480,"journal":{"name":"2017 8th International Conference on Information Technology (ICIT)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122017143","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
Medical imaging security using partial encryption and histogram shifting watermarking 采用部分加密和直方图移位水印的医学图像安全
2017 8th International Conference on Information Technology (ICIT) Pub Date : 2017-05-01 DOI: 10.1109/ICITECH.2017.8079950
Heba Abdelnabi, A. Al-Haj
{"title":"Medical imaging security using partial encryption and histogram shifting watermarking","authors":"Heba Abdelnabi, A. Al-Haj","doi":"10.1109/ICITECH.2017.8079950","DOIUrl":"https://doi.org/10.1109/ICITECH.2017.8079950","url":null,"abstract":"Rapid advancements in information and communication technologies facilitated sharing of digital medical images in telemedicine applications. However, due to the sensitivity of medical images, their security has become a challenging requirement that must be addressed. In this paper, a simple and efficient joint reversible data hiding and encryption algorithm is proposed for watermarking medical images while providing high embedding capacity. The proposed algorithm combines reversible data hiding techniques with standard encryption techniques in order to provide the needed security of transmitted and stored medical images. The algorithm utilizes substitution-based encryption and transposition-based encryption to achieve high degree of entropy in the encrypted watermarked images. The operation of the algorithm is based on dividing the original medical image randomly into two halves, each of which is assigned a different watermark. One of the watermarks is embedded before encryption and the other watermark is embedded after encryption. Aside from providing high entropy, the proposed algorithm provides relatively high embedding capacity because of the existence of two watermarks, while keeping low computational complexity.","PeriodicalId":102480,"journal":{"name":"2017 8th International Conference on Information Technology (ICIT)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129117934","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: 19
Estimating three parameters of Weibull — Poisson distribution with biological application 用生物学方法估计威布尔-泊松分布的三个参数
2017 8th International Conference on Information Technology (ICIT) Pub Date : 2017-05-01 DOI: 10.1109/ICITECH.2017.8079990
Dhwiya S. Hassan, S. Ahmed, Jwan K. Alwan
{"title":"Estimating three parameters of Weibull — Poisson distribution with biological application","authors":"Dhwiya S. Hassan, S. Ahmed, Jwan K. Alwan","doi":"10.1109/ICITECH.2017.8079990","DOIUrl":"https://doi.org/10.1109/ICITECH.2017.8079990","url":null,"abstract":"This paper deals with introducing a new compound distribution, called Weibull — Poisson, with three parameters (λ, α, β), which have excellent modeling and applications for Bio-Informatics (in Computer Science). The probability compound model build according to the biological data, and then the parameters (λ, α, β) are estimated by different algorithms like maximum likelihood method, percentile method, and also proposed method, where all the required programs necessary for estimation and comparison are written by using Math Lab (2010), and also the application is done on observation about time to failure for cancer disease where the fitting programs focus on compound Weibull Poisson distribution. So, our paper explains this distribution and introduces all the required methods for estimation and application.","PeriodicalId":102480,"journal":{"name":"2017 8th International Conference on Information Technology (ICIT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129496584","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
Sign language communication and authentication using sensor fusion of hand glove and photometric signals 基于手套和光度信号传感器融合的手语交流与认证
2017 8th International Conference on Information Technology (ICIT) Pub Date : 2017-05-01 DOI: 10.1109/ICITECH.2017.8080003
A. Samraj, Naser Mehrdel, S. Sayeed
{"title":"Sign language communication and authentication using sensor fusion of hand glove and photometric signals","authors":"A. Samraj, Naser Mehrdel, S. Sayeed","doi":"10.1109/ICITECH.2017.8080003","DOIUrl":"https://doi.org/10.1109/ICITECH.2017.8080003","url":null,"abstract":"This paper proposes a sign language interpretation system by a combination of data glove and photoplethysmograph sensor measurements collected concurrently from data glove and PPG devices. This system is tested on many numbers of trials by different subjects performing a set of particular shapes using the American Sign Language (ASL). The sign language being the natural way of communication for the hearing and speech impaired people, there are systems being developed to understand the sign language and to produce communication. As an enhancement to the communication system for the targeted audience, authentication systems that can understand sign language would be of a great help. The focus of this paper is on the avoidance of skilled forgers try to seek the genuine sign language symbols in many numbers of trials. The reinforcement of sign language signals by the Photoplethesomograph signals were found to be increasing the gap in the Euclidian distances between forgers and the genuine template feature, thus prohibiting them from thrive forging. It has been clearly proved by our repetitive experiments here, on various subjects using the combinational features. The cause of benefits in the proposed system in eliminating forge attempts is due to the biometric differences found in data glove signal characteristics and level of bilateral hand dimensional dissimilarities plus arterial blood pulsation of individuals. Furthermore, we found some predominant sensors essential in this authentication process and trying to eliminate un useful sensors which are of less importance in hand glove thus making the optimization of hardware.","PeriodicalId":102480,"journal":{"name":"2017 8th International Conference on Information Technology (ICIT)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129004158","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
Time domain diversity combining transmitter for spectrally efficient asymmetrically and Symmetrically Clipped Optical (SEASCO) OFDM system 用于频谱高效的非对称和对称裁剪光(SEASCO) OFDM系统的时域分集组合发射机
2017 8th International Conference on Information Technology (ICIT) Pub Date : 2017-05-01 DOI: 10.1109/ICITECH.2017.8079946
M. S. Baig, A. Abas, M. Alresheedi
{"title":"Time domain diversity combining transmitter for spectrally efficient asymmetrically and Symmetrically Clipped Optical (SEASCO) OFDM system","authors":"M. S. Baig, A. Abas, M. Alresheedi","doi":"10.1109/ICITECH.2017.8079946","DOIUrl":"https://doi.org/10.1109/ICITECH.2017.8079946","url":null,"abstract":"In this paper, we present a novel time domain diversity transmitter (TDDT) for the Spectrally Efficient Asymmetrically and Symmetrically Clipped Optical (SEASCO) OFDM System. SEASCO-OFDM was developed to reduce the complex architecture of two frame ASCO-OFDM. It uses a single frame to combine the individually clipped data on odd and even subcarriers to yield a real non-negative signal. In addition, TDDT, which is used as transmitter, implements noise clipping. As a result, better symbol error rate (SER) can be witnessed. For 1024-QAM at SER of 10-3, the system experiences 1.35 dB better SNR.","PeriodicalId":102480,"journal":{"name":"2017 8th International Conference on Information Technology (ICIT)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124570372","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: 2
SYN flood attack detection in cloud environment based on TCP/IP header statistical features 基于TCP/IP报头统计特征的云环境下SYN flood攻击检测
2017 8th International Conference on Information Technology (ICIT) Pub Date : 2017-05-01 DOI: 10.1109/ICITECH.2017.8080006
M. Al-Hawawreh
{"title":"SYN flood attack detection in cloud environment based on TCP/IP header statistical features","authors":"M. Al-Hawawreh","doi":"10.1109/ICITECH.2017.8080006","DOIUrl":"https://doi.org/10.1109/ICITECH.2017.8080006","url":null,"abstract":"Virtualization is a foundational key to cloud computing that allows sharing single physical host, resources, and application among multiple users. Virtual cloud infrastructure is vulnerable to distributed denial of service attack, in particular, SYN flood attack which exhausts the server resources and makes it unavailable to the legitimate user. In the clouds, this type of attack impact can extend to a large number of resources which lead to doubling the losses. This paper discusses the SYN flood attack in virtual cloud and detects it based on new features that extracted from TCP/IP header. Hence, different machine learning methods such as neural network, naïve base, decision tree and k-means are used to observe the performance. The results show that the machine learning algorithms proved an efficient performance in classifying and detecting SYN flood attack with extracted features.","PeriodicalId":102480,"journal":{"name":"2017 8th International Conference on Information Technology (ICIT)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115572018","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: 12
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