{"title":"Performance Investigation of Immune Plasma Algorithm on Solving Wireless Sensor Deployment Problem","authors":"Adnan Tasdemir, Sercan Demirci, Selçuk Aslan","doi":"10.1109/ICEEE55327.2022.9772539","DOIUrl":"https://doi.org/10.1109/ICEEE55327.2022.9772539","url":null,"abstract":"Sensor node deployment is very crucial for wireless sensor networks (WSNs). Sensors' coverage plays an integral role in all types of applications that utilize WSNs. In addition to maximizing the life of the network and consuming less energy, the better positioning of the sensors makes the sensors more effective and efficient. A meta-heuristic algorithm will be used to determine where wireless sensors should be placed to maximize the coverage of the area where they are deployed. As a part of our solution, we will utilize the Immune Plasma Algorithm (IPA), which transfers plasma or the antibody-rich part of the blood from one patient to another through a process of bypassing the immune system. This optimization algorithm will be used to determine the optimal solution to the maximum coverage problem. The results of the simulation will be compared with solutions found by one research using Artificial Bee Colony (ABC), an algorithm that models the foraging behavior of bees.","PeriodicalId":375340,"journal":{"name":"2022 9th International Conference on Electrical and Electronics Engineering (ICEEE)","volume":"104 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133443748","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}
{"title":"edaGAN: Encoder-Decoder Attention Generative Adversarial Networks for Multi-contrast MR Image Synthesis","authors":"Onat Dalmaz, Baturay Sağlam, Kaan Gönç, T. Çukur","doi":"10.1109/iceee55327.2022.9772555","DOIUrl":"https://doi.org/10.1109/iceee55327.2022.9772555","url":null,"abstract":"Magnetic resonance imaging (MRI) is the preferred modality among radiologists in the clinic due to its superior depiction of tissue contrast. Its ability to capture different contrasts within an exam session allows it to collect additional diagnostic information. However, such multi-contrast MRI exams take a long time to scan, resulting in acquiring just a portion of the required contrasts. Consequently, synthetic multi-contrast MRI can improve subsequent radiological observations and image analysis tasks like segmentation and detection. Because of this significant potential, multi-contrast MRI synthesis approaches are gaining popularity. Recently, generative adversarial networks (GAN) have become the de facto choice for synthesis tasks in medical imaging due to their sensitivity to realism and high-frequency structures. In this study, we present a novel generative adversarial approach for multi-contrast MRI synthesis that combines the learning of deep residual convolutional networks and spatial modulation introduced by an attention gating mechanism to synthesize high-quality MR images. We show the superiority of the proposed approach against various synthesis models on multi-contrast MRI datasets.","PeriodicalId":375340,"journal":{"name":"2022 9th International Conference on Electrical and Electronics Engineering (ICEEE)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134164783","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}
Gökberk Akarsu, Mohammed Farouk Nakmouche, D. Fawzy, A. Allam
{"title":"A Novel Ultra-Wideband Metamaterial-Based Perfect Absorber for 5G Millimeter-Wave Applications","authors":"Gökberk Akarsu, Mohammed Farouk Nakmouche, D. Fawzy, A. Allam","doi":"10.1109/iceee55327.2022.9772547","DOIUrl":"https://doi.org/10.1109/iceee55327.2022.9772547","url":null,"abstract":"This paper proposes a novel design of an ultra-thin, miniature metamaterial (MM) - based ultra-wideband absorber. The unit cell is designed by combining two letters (H & S) and side patches for the generation of multi-resonance bands, and printed on a grounded dielectric of Rogers RT5880 material. Based on the numerical plane-wave simulations, the proposed absorber exhibits an ultra-wideband of about 16.2 GHz absorption bandwidth in the frequency range between 27.669 GHz and 43.871 GHz. The average absorptivity rates are close to 99% for incident angles between 0°-20°. The developed absorber preserves the ultra-wideband property of about 11.50 GHz for incident angles between 20° and 30° in the frequency range between 27.7 GHz and 39.2 GHz with average absorptivity rates close to 90%. This design is very suitable for 5G millimeter-waves and Ka-band applications.","PeriodicalId":375340,"journal":{"name":"2022 9th International Conference on Electrical and Electronics Engineering (ICEEE)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130358276","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}
{"title":"Nakagami-$m$ MIMO Channel Model","authors":"R. Mesleh, Osamah. S. Badarneh, Abdelhamid Younis","doi":"10.1109/ICEEE55327.2022.9772568","DOIUrl":"https://doi.org/10.1109/ICEEE55327.2022.9772568","url":null,"abstract":"Nakagami-$m$ is a widely adopted generalized channel model as it fits closely to the majority of measured fading radio channels. As well, the mathematical model for Nakagami-$m$ is more analytically tractable than other well-known fading channels, which attracted considerable interest among the research community. Original channel model was proposed mainly for single–input single–output (SISO) systems, where the envelope follows the Nakagami distribution while the phase is assumed to be uniformly distributed. However, such model is shown previously to be inaccurate for multiple–input multiple–output (MIMO) systems accomplishing multiplexing gains such as spatial multiplexing (SMX) and space modulation techniques (SMTs). As such, a different Nakagami-$m$ MIMO channel model was suggested and shown to correctly models the behavior of the channel parameters under different conditions. Yet, it is revealed in this study that the previously advised model is imprecise as the phase distribution was not accurately modeled. As well, the previous model was only realizable for integer values of the Nakagami $m$ parameter. Thereby, an altered accurate model is suggested and thoroughly analyzed in this article. Also, the new model is shown to be applicable for arbitrary values of $m$ (i.e., not necessarily integers or half integers). The paper also presents the modified conditions under which the analytical formulation is correct as compared to Monte-Carlo Simulation. For illustration purposes, space shift keying (SSK), quadrature spatial modulation (QSM) and SMX MIMO systems are considered in this study.","PeriodicalId":375340,"journal":{"name":"2022 9th International Conference on Electrical and Electronics Engineering (ICEEE)","volume":"158 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114206647","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}
{"title":"An Ultra-Low-Power Process-and- Temperature Compensated Ring Oscillator","authors":"Hazem H. Hammam, Khaled M. Hassan, S. Ibrahim","doi":"10.1109/iceee55327.2022.9772521","DOIUrl":"https://doi.org/10.1109/iceee55327.2022.9772521","url":null,"abstract":"The need for low-power and high-precision clock is desirable for systems that target high power efficiency. In most designs, a complex compensation technique is required to generate a Process-Voltage-Temperature (PVT) independent clock which has a high-power consumption power and occupies a large silicon area. This paper presents the design of a 3-stage current-starved ring oscillator that compensates for process and temperature variations. The proposed ring oscillator achieves up to 90% reduction in the frequency variation from its center frequency across process and temperature variations compared to the conventional current-starved ring oscillator. The proposed design is implemented in a standard 130-nm CMOS process. The power for the proposed circuitry is 346 nW and occupies an area of 315 µm2.","PeriodicalId":375340,"journal":{"name":"2022 9th International Conference on Electrical and Electronics Engineering (ICEEE)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122001624","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}
M. Demirci, Mustafa Saka, H. Gozde, M. Dursun, M. Taplamacioglu
{"title":"Dempster Shafer Evidence Theory Application for Fault Diagnosis of Power Transformers","authors":"M. Demirci, Mustafa Saka, H. Gozde, M. Dursun, M. Taplamacioglu","doi":"10.1109/iceee55327.2022.9772608","DOIUrl":"https://doi.org/10.1109/iceee55327.2022.9772608","url":null,"abstract":"In this paper, advance diagnosis in power transformers, which is one of the most equipment of power systems. Real gas data from Dissolve Gas Analysis has been used for fault diagnosis. Multi-Layer Perceptron Neural Network, Support Vector Machine and Naive Bayes classifiers are used for fault diagnosis. The data set is included in a preprocessing step for the operation of statistical learning algorithms and also has been used as a training and test data set for classification algorithms. The results from the classifiers are compared. Then, the classifier results are combined with Dempster Shafer Evidence Theory, one of the most effective Data Fusion techniques. For this, mass functions for Data Fusion are obtained from the outputs of the classifiers, and the fusion process is performed using the Dempster Shafer Combination Rule. It is seen that the fusion method has better diagnostic accuracy compared to individual classifiers.","PeriodicalId":375340,"journal":{"name":"2022 9th International Conference on Electrical and Electronics Engineering (ICEEE)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122663110","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}
{"title":"Customer Churn Prediction by Classification Models in Machine Learning","authors":"Heng Zhao, Xumin Zuo, Yuanyuan Xie","doi":"10.1109/ICEEE55327.2022.9772553","DOIUrl":"https://doi.org/10.1109/ICEEE55327.2022.9772553","url":null,"abstract":"The classification model in machine learning has been employed to address different problems. Machine Learning classification is an effective method to realize customer churn prediction. This article provides a comparative study of machine learning from the perspective of predicting customer churn. Customer churn is one of the obstacles hindering the development of companies. Through classification approaches based on machine learning, customer churn can be predicted precisely, thus providing decision-making capabilities to these companies. Customer churn prediction is a typical classification problem and can be addressed by the use of a decision tree or random forest model. In this paper, decision tree and random forest models are employed to predict customer churn, using sales data provided by a chemical company from 2012 to 2020. We analyze the underlying risk of customer churn and the customer churn factors, including the low-priced count (LC), total amount of money (TM), and creation time (CT). The prediction results of the two models are evaluated by calculating various metrics. The experimental results indicate that the low-priced count (LC) is the most essential factor for customer churn. The results of the comparison, considering the training error and generalization error including: confusion matrix, ROC curve, AUC, precision, recall, and F1 score, reveal that the random forest model has better prediction accuracy than the decision tree model.","PeriodicalId":375340,"journal":{"name":"2022 9th International Conference on Electrical and Electronics Engineering (ICEEE)","volume":"82 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126178977","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}
{"title":"A Six-Way Power Divider For Dual-Band Applications","authors":"Mohamed A. Koura, A. Al‐Zayed, Mahdi Chehimi","doi":"10.1109/iceee55327.2022.9772519","DOIUrl":"https://doi.org/10.1109/iceee55327.2022.9772519","url":null,"abstract":"In this paper, a dual-band power divider is designed to equally split the input power between six output ports. The dual-band feature is implemented using pi-shaped dual-band impedance transformers. Instead of the stubs usually used in such transformers, impedance buffers are used to avoid impractical line widths. A prototype operating at 0.9/1.4 GHz is fabricated, and its simulation and measurements results are presented. The measured output power levels of the prototype at each band are within 0.75 dB from their theoretical values, and good input matching(<-18 dB) is observed at both bands.","PeriodicalId":375340,"journal":{"name":"2022 9th International Conference on Electrical and Electronics Engineering (ICEEE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130558955","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}
Abdulaziz Aborujilah, AbdulAleem Al-Othmani, Nur Syahela Hussien, S. A. Mokhtar, Zalizah Awang Long, M. Nizam
{"title":"Cybersecurity Risk Assessment Approach for Malaysian Organizations: Malaysian Universities as Case Study","authors":"Abdulaziz Aborujilah, AbdulAleem Al-Othmani, Nur Syahela Hussien, S. A. Mokhtar, Zalizah Awang Long, M. Nizam","doi":"10.1109/ICEEE55327.2022.9772546","DOIUrl":"https://doi.org/10.1109/ICEEE55327.2022.9772546","url":null,"abstract":"Malaysian organizations are following different methods for cybersecurity risk assessment such as Control Objectives for Information and Related Technologies (COBIT) and International Organization for Standardization (ISO) 27001. The higher education institutions in Malaysia are facing the same difficulties as different standards and approaches are used to evaluate the cybersecurity risk of their institutions. So, there is a lack of a cybersecurity risk assessment approach that takes Malaysian and international standards into consideration. This paper aims to develop a cybersecurity risk assessment approach for higher education institutions in Malaysia. The methodology of conducting this research is qualitative research using a case study. The framework has considered international cybersecurity standards such as the Holistic cybersecurity maturity assessment framework (HCYMAF) and local cybersecurity standards such as National Cyber Security Agency (NACSA) and the Malaysia Cyber Security Strategy (MCSS). In addition, a measurable instrument to assess cybersecurity risk has been proposed. The subject-matter expert can apply this approach to assess their organization's cybersecurity maturity and risk. The findings of this study shall be useful in overcoming the drawbacks of employing non-standard procedures in such evaluations, resulting in more accurate and reliable evaluation outcomes.","PeriodicalId":375340,"journal":{"name":"2022 9th International Conference on Electrical and Electronics Engineering (ICEEE)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122286189","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}
{"title":"An Enhanced Fault Ride-Through Capability for MTDC Systems Using Vector Current Control and Inherent Energy of Submodules of MMC","authors":"J. Ansari, Chongru Liu, Le Zheng","doi":"10.1109/ICEEE55327.2022.9772595","DOIUrl":"https://doi.org/10.1109/ICEEE55327.2022.9772595","url":null,"abstract":"Modular multi-level converter (MMC) has been recognized as the most prominent topology in building the multi-terminal direct current (MTDC systems) due to its numerous advantages over other converter topologies. The primary concern for the operation of such advanced MTDC grids is to ensure the reliability and safety of the electrical equipment during dynamic and transient conditions following standard grid codes. This research work proposes a combination of different control strategies developed for MMC based MTDC systems to promote fault ride-through capability during three-phase transients and voltage dips. The proposed control architecture contains inner and outer control loops for MMC stations. Along with the different control strategies, the inherent energy available in the capacitors of submodules MMC has also been utilized, which ensures constant power delivery to the load system during three-phase transients & voltage dips and provides power oscillation damping (POD) with quick post fault recovery operation. The energy dimensions required for capacitors of each MMC station are calculated. The proposed control strategies have been validated with an experimental setup of a four-terminal MMC based MTDC system developed in the simulation environment. The proposed control strategies envision a robust fault ride-through capability with reduced oscillations and total harmonic distortion (THD). Such a method is more reliable for an MTDC system than the classical solutions, which are based on drawing increased current from the grid or using additional circuitries. Moreover, the proposed control strategies can work efficiently for any MTDC system as compared to previously presented solutions, which are restricted to two-terminal HVDC systems.","PeriodicalId":375340,"journal":{"name":"2022 9th International Conference on Electrical and Electronics Engineering (ICEEE)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125272449","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}