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2018 13th International Conference on Computer Engineering and Systems (ICCES)最新文献

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Egyptian Nile Tilapia Fish Freshness Assessment Based on an Efficient Image Processing Method 基于高效图像处理方法的埃及尼罗罗非鱼新鲜度评价
2018 13th International Conference on Computer Engineering and Systems (ICCES) Pub Date : 2018-12-01 DOI: 10.1109/ICCES.2018.8639490
Mona M. Soliman, Ahmed Abdelmonem Hemedan, A. Hassanein
{"title":"Egyptian Nile Tilapia Fish Freshness Assessment Based on an Efficient Image Processing Method","authors":"Mona M. Soliman, Ahmed Abdelmonem Hemedan, A. Hassanein","doi":"10.1109/ICCES.2018.8639490","DOIUrl":"https://doi.org/10.1109/ICCES.2018.8639490","url":null,"abstract":"The Egyptian Nile Tilapia fish are kind of fish that exist in freshwater and less commonly typically found residing in brackish water. The freshness of tilapia fish is depending on the way the fish are stored after the harvesting time. The two essential factors that have an effect on the fish excellent are the retention time and medium used in the storage procedure. As the days pass, the quality of the fish sample may be decreased till it finally reaches the consumers. This paper proposed an automatic method for classifying tilapia fish freshness based on having fish image only. The proposed method is applied to real data-set images captured during several different days. The experimental results show the effectiveness of our method in determining fish freshness in terms of both accuracy and processing time. The experimental consequences display the effectiveness of our technique in determining fish freshness taking into account the accuracy of freshness results at a suitable processing time.","PeriodicalId":113848,"journal":{"name":"2018 13th International Conference on Computer Engineering and Systems (ICCES)","volume":"100 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127113073","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
ICCES 2018 Session CA1: Computer Architecture I ICCES 2018会议CA1:计算机体系结构1
2018 13th International Conference on Computer Engineering and Systems (ICCES) Pub Date : 2018-12-01 DOI: 10.1109/icces.2018.8639392
{"title":"ICCES 2018 Session CA1: Computer Architecture I","authors":"","doi":"10.1109/icces.2018.8639392","DOIUrl":"https://doi.org/10.1109/icces.2018.8639392","url":null,"abstract":"","PeriodicalId":113848,"journal":{"name":"2018 13th International Conference on Computer Engineering and Systems (ICCES)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125422862","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
Multimodal Pain Level Recognition using Majority Voting Technique 使用多数投票技术的多模态疼痛水平识别
2018 13th International Conference on Computer Engineering and Systems (ICCES) Pub Date : 2018-12-01 DOI: 10.1109/ICCES.2018.8639215
A. Salah, M. Khalil, Hazem M. Abbas
{"title":"Multimodal Pain Level Recognition using Majority Voting Technique","authors":"A. Salah, M. Khalil, Hazem M. Abbas","doi":"10.1109/ICCES.2018.8639215","DOIUrl":"https://doi.org/10.1109/ICCES.2018.8639215","url":null,"abstract":"The measurement of subjective pain is still a problem especially with people who have verbal or cognitive impairments. In this work, we analyze the problem of some patients who did not express their pain through their facial muscles, but they were expressing it involuntarily through the autonomic neural system that can be observed in the physiological signals. An ensemble learning algorithm consisting of multimodal models trained on the geometric facial expressions and the physiological signals is proposed. Each model provides a certainty measure and the pain level is assigned by the most certain model. The proposed system is compared with the previous models.","PeriodicalId":113848,"journal":{"name":"2018 13th International Conference on Computer Engineering and Systems (ICCES)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126959434","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: 3
A Comprehensive Study of the Effects of Linear Chirp Jamming on GNSS Receivers under High-Dynamic Scenarios 高动态场景下线性啁啾干扰对全球导航卫星系统接收器影响的综合研究
2018 13th International Conference on Computer Engineering and Systems (ICCES) Pub Date : 2018-12-01 DOI: 10.1109/ICCES.2018.8639399
M. Tamazin, M. Karaim, H. Elghamrawy, A. Noureldin
{"title":"A Comprehensive Study of the Effects of Linear Chirp Jamming on GNSS Receivers under High-Dynamic Scenarios","authors":"M. Tamazin, M. Karaim, H. Elghamrawy, A. Noureldin","doi":"10.1109/ICCES.2018.8639399","DOIUrl":"https://doi.org/10.1109/ICCES.2018.8639399","url":null,"abstract":"Despite the significant advances in signal processing methods used nowadays, Global Navigation Satellite Systems (GNSS) receivers still experience substantial challenges, such as signal jamming, which remains a crucial source of degradation of the receiver performance. The presence of jamming signal influences the acquisition and tracking modules inside the receiver leading to loss-of-lock of the GNSS satellite signals. Consequently, GNSS receivers cannot provide reliable position, velocity and time services. The aim of this paper is to comprehensively explore the effects of linear chirp jamming on commercial receivers under high-dynamic scenarios. Moreover, the paper investigates the advantages of using combined GPS/GLONASS receivers under jamming conditions in comparison to using GPS-only receivers. In this paper, a SPIRENT GSS6700 Multi-GNSS Simulator controlled by Spirent SimGEN™ software is used to provide realistic controlled simulation scenarios. The linear chirp jamming signals are created using an Agilent interference signal generator (ISG) unit. Both commercial NovAtel ProPak-G2 Plus and NovAtel OEMV receivers are used to conduct these tests. The results show different behaviors of the various receivers in response to the applied jamming signals. The Carrier-to-Noise (C/N0), the Dilution of Precision (DOP), and the navigation solution accuracy are used as measures to assess the performance of the receivers under study. Results show that the NovAtel OEMV receiver outperforms the NovAtel ProPak-G2 Plus receiver. Moreover, it is revealed that multi-constellation receivers achieved higher resistance for signal jamming effects than GPS only receivers.","PeriodicalId":113848,"journal":{"name":"2018 13th International Conference on Computer Engineering and Systems (ICCES)","volume":"123 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127047620","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
DeepPet: A Pet Animal Tracking System in Internet of Things using Deep Neural Networks DeepPet:基于深度神经网络的物联网宠物跟踪系统
2018 13th International Conference on Computer Engineering and Systems (ICCES) Pub Date : 2018-12-01 DOI: 10.1109/ICCES.2018.8639260
A. Hammam, Mona M. Soliman, A. Hassanein
{"title":"DeepPet: A Pet Animal Tracking System in Internet of Things using Deep Neural Networks","authors":"A. Hammam, Mona M. Soliman, A. Hassanein","doi":"10.1109/ICCES.2018.8639260","DOIUrl":"https://doi.org/10.1109/ICCES.2018.8639260","url":null,"abstract":"Pets animal monitoring in smart cities is a challenging problem. classic approach to identify the animal and surveillance methods like air tags, GPS, and RFID has its disadvantage to provide the full required level of monitoring and tracking of the pets. Such devices have many limitations and costly. The massive development in the area of Internet of things (IOT) in smart cities can be used to provide a human control and interaction with pets by using the Internet of Things and its technologies. This paper will present an approach of pet animal tracking on the video stream using deep learning capabilities with the goal to detect and classify the object of interest.","PeriodicalId":113848,"journal":{"name":"2018 13th International Conference on Computer Engineering and Systems (ICCES)","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114284940","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
ICCES 2018 Session WN: Wireless Networks ICCES 2018会议主题:无线网络
2018 13th International Conference on Computer Engineering and Systems (ICCES) Pub Date : 2018-12-01 DOI: 10.1109/icces.2018.8639458
{"title":"ICCES 2018 Session WN: Wireless Networks","authors":"","doi":"10.1109/icces.2018.8639458","DOIUrl":"https://doi.org/10.1109/icces.2018.8639458","url":null,"abstract":"","PeriodicalId":113848,"journal":{"name":"2018 13th International Conference on Computer Engineering and Systems (ICCES)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129689697","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
Restoration of Spatially-Varying Motion-Blurred Images 空间变化运动模糊图像的恢复
2018 13th International Conference on Computer Engineering and Systems (ICCES) Pub Date : 2018-12-01 DOI: 10.1109/ICCES.2018.8639355
Shereen El-Shekheby, Rehab F. Abdel-Kader, F. Zaki
{"title":"Restoration of Spatially-Varying Motion-Blurred Images","authors":"Shereen El-Shekheby, Rehab F. Abdel-Kader, F. Zaki","doi":"10.1109/ICCES.2018.8639355","DOIUrl":"https://doi.org/10.1109/ICCES.2018.8639355","url":null,"abstract":"Restoration of spatially-varying blurred images is extensively required for various computer systems. In this paper, we present a new spatially-varying blur detection and restoration method. Motion blur is detected automatically from an individual image. Initially, the blurring kernel length and direction are estimated by finding the kernel that maximizes the likelihood of a blurred local window. This is achieved by incorporating either vertical or positive diagonal kernels with various lengths. Then, initial blur regions are estimated using a kernel specific feature. Next, the initial blur regions are refined with the support of the image segmentation (CCP) method and neighboring information. Finally, Blurred regions are recovered using the best-estimated kernel. Comparisons with the most successful methods reported in the literature demonstrate performance improvements in blur detection and restoration results.","PeriodicalId":113848,"journal":{"name":"2018 13th International Conference on Computer Engineering and Systems (ICCES)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127832336","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
Dual-Source Energy Harvesting System using TDM with Dynamic MPPT and Wide-Range ZCS 基于动态MPPT和大范围ZCS的TDM双源能量收集系统
2018 13th International Conference on Computer Engineering and Systems (ICCES) Pub Date : 2018-12-01 DOI: 10.1109/ICCES.2018.8639404
Yehia Hamdy Yehia, H. Omran, S. Ibrahim
{"title":"Dual-Source Energy Harvesting System using TDM with Dynamic MPPT and Wide-Range ZCS","authors":"Yehia Hamdy Yehia, H. Omran, S. Ibrahim","doi":"10.1109/ICCES.2018.8639404","DOIUrl":"https://doi.org/10.1109/ICCES.2018.8639404","url":null,"abstract":"This paper presents an efficient dynamic technique for energy combining from thermoelectric generators (TEG) and piezoelectric transducers (PZ). A dual-source maximum-power-point-tracking (MPPT) unit working in analogues way to phase-locked loops (PLL) is proposed. The dynamic MPPT achieves global maximum power extraction by matching both sources impedance varying from 1.5 Ω to 43 Ω for a thermoelectric generator cell and from 2 kΩ to 44 kΩ for a piezoelectric cell with only 2% power loss. A wide-range zero-current-switching (WR-ZCS) circuit is proposed to tune inductor discharging time with a good resolution using a digitally-tuned delay cell providing 30 ns and 100 ns delays. With an output control unit and with the aid of a kick start voltage a self-biased operation is obtained while the output voltage is regulated at 2.5 V.","PeriodicalId":113848,"journal":{"name":"2018 13th International Conference on Computer Engineering and Systems (ICCES)","volume":"182 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121726284","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
Ontological Classification for Heritage Computer Aided Design 遗产计算机辅助设计的本体分类
2018 13th International Conference on Computer Engineering and Systems (ICCES) Pub Date : 2018-12-01 DOI: 10.1109/ICCES.2018.8639456
N. Saleeb, Rene Garcia, M. Marzouk
{"title":"Ontological Classification for Heritage Computer Aided Design","authors":"N. Saleeb, Rene Garcia, M. Marzouk","doi":"10.1109/ICCES.2018.8639456","DOIUrl":"https://doi.org/10.1109/ICCES.2018.8639456","url":null,"abstract":"Recent endeavors in Computer Aided Design (CAD) have enabled creating intelligent 3D models of building assets that allow high efficiency in constructing and operating/maintaining those assets. However, in order to support this, detailed specification, classification and codification of the individual building systems and their components must be created. This entails usage and embedding of specific construction classification systems with the CAD systems utilized. While many such systems exist for new builds, there is lack of classification systems for heritage buildings, which are unique in the characteristics of their components that cannot be covered by current classification systems. This paper presents part of an ongoing research to justify and create a new Ontological Classification system for Heritage assets that can be used in conjunction with CAD systems, specifically 3D intelligent authoring tools, to specify the special requirements of Heritage components. The paper will start with a comparative study to validate creation of an \"Onto-Classification\" system as opposed to other systems like thesauri, taxonomies etc., including case study examples of them. This will be followed with examples of the new Onto-Classification system using a current existing Case study of Toson Palace in Egypt.","PeriodicalId":113848,"journal":{"name":"2018 13th International Conference on Computer Engineering and Systems (ICCES)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134316982","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
Emotion Recognition by Facial Features using Recurrent Neural Networks 基于递归神经网络的面部特征情感识别
2018 13th International Conference on Computer Engineering and Systems (ICCES) Pub Date : 2018-12-01 DOI: 10.1109/ICCES.2018.8639182
Amr Mostafa, M. Khalil, Hazem M. Abbas
{"title":"Emotion Recognition by Facial Features using Recurrent Neural Networks","authors":"Amr Mostafa, M. Khalil, Hazem M. Abbas","doi":"10.1109/ICCES.2018.8639182","DOIUrl":"https://doi.org/10.1109/ICCES.2018.8639182","url":null,"abstract":"This paper presents emotion recognition models using facial expression features. By detecting the face in videos and extracting local characteristics (landmarks) to generate the geometric-based features to discriminate between a set of five emotion expressions (amusement, anger, disgust, fear, and sadness) for videos from BioVid Emo database. The classification operation is done using different machine learning models including random forest (RF), support vector machines (SVM), k-nearest neighbors (KNN) and recurrent neural network (RNN), then the evaluation operation is done to generate different discrimination rates that reached up to 82% to discriminate between anger and disgust emotions.","PeriodicalId":113848,"journal":{"name":"2018 13th International Conference on Computer Engineering and Systems (ICCES)","volume":"92 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130928215","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: 15
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