Pub Date : 2019-12-01DOI: 10.1109/ICECCO48375.2019.9043243
O. Gurbuz, Hatice Gurbuz, Isa Muslu
This paper furnishes a general solution about the linear equation system $boldsymbol{Ax}=boldsymbol{g}$. The analytic solutions to the problem of finding the vector $boldsymbol{x}$, from among the general solution set of the system if it is consistent, and from among the least squares solution set of the system if it is inconsistent, such that the norm of $boldsymbol{x}-boldsymbol{x}_{mathbf{0}}$ is minimum for a given vector $boldsymbol{x}_{mathbf{0}}$ are established. For inverse matrix of A, it is used generalized inverse (Moore-Penrose inverse) by using algorithm and Maple. Analytic results, we obtained are satisfied by using algorithm with numerical examples.
{"title":"General Solutions of Consistent and Inconsistent Linear Equation Systems Via Maple","authors":"O. Gurbuz, Hatice Gurbuz, Isa Muslu","doi":"10.1109/ICECCO48375.2019.9043243","DOIUrl":"https://doi.org/10.1109/ICECCO48375.2019.9043243","url":null,"abstract":"This paper furnishes a general solution about the linear equation system $boldsymbol{Ax}=boldsymbol{g}$. The analytic solutions to the problem of finding the vector $boldsymbol{x}$, from among the general solution set of the system if it is consistent, and from among the least squares solution set of the system if it is inconsistent, such that the norm of $boldsymbol{x}-boldsymbol{x}_{mathbf{0}}$ is minimum for a given vector $boldsymbol{x}_{mathbf{0}}$ are established. For inverse matrix of A, it is used generalized inverse (Moore-Penrose inverse) by using algorithm and Maple. Analytic results, we obtained are satisfied by using algorithm with numerical examples.","PeriodicalId":166322,"journal":{"name":"2019 15th International Conference on Electronics, Computer and Computation (ICECCO)","volume":"1 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":"130956127","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}
Pub Date : 2019-12-01DOI: 10.1109/ICECCO48375.2019.9043193
Fauwzziyyah O. Umar, L. Ismaila, I. Umar
Despite the regulatory measures, effective blood transfusion services still remain sadly unavailable to one of the world’s poorest and dense populations. Among other African countries that fail to meet World Health Organization (WHO) blood requirement in recent years, Our Experience in Nigeria and other convincing remarks show that blood is not in good circulation, especially for the needy who are in most cases exploited and eventually faced with serious health challenges due to unsafe blood transfusion leading to deadly infections and consequently death and other times, blood is totally unavailable. In view of this, we proposed and implemented a working system of blood bank service which ensures patients get quick access to blood donors of any type whether volunteer donors, replacement donors (family or friends), or compensated donors, in each case, mutual interest is protected. This system is designed to thrive even in the remotest of areas and easy for both young and old because it adopts the use of Unstructured Supplementary Service Data or USSD code, Short Message Service (SMS) and free toll line which makes the system available for both online and offline database queries. Our initial results show that, if this system is fully implemented, effective blood transfusion services will be in quick improvement in Nigeria and by extension Africa.
{"title":"The Prospect and Significance of Lifeline: An E-blood bank System","authors":"Fauwzziyyah O. Umar, L. Ismaila, I. Umar","doi":"10.1109/ICECCO48375.2019.9043193","DOIUrl":"https://doi.org/10.1109/ICECCO48375.2019.9043193","url":null,"abstract":"Despite the regulatory measures, effective blood transfusion services still remain sadly unavailable to one of the world’s poorest and dense populations. Among other African countries that fail to meet World Health Organization (WHO) blood requirement in recent years, Our Experience in Nigeria and other convincing remarks show that blood is not in good circulation, especially for the needy who are in most cases exploited and eventually faced with serious health challenges due to unsafe blood transfusion leading to deadly infections and consequently death and other times, blood is totally unavailable. In view of this, we proposed and implemented a working system of blood bank service which ensures patients get quick access to blood donors of any type whether volunteer donors, replacement donors (family or friends), or compensated donors, in each case, mutual interest is protected. This system is designed to thrive even in the remotest of areas and easy for both young and old because it adopts the use of Unstructured Supplementary Service Data or USSD code, Short Message Service (SMS) and free toll line which makes the system available for both online and offline database queries. Our initial results show that, if this system is fully implemented, effective blood transfusion services will be in quick improvement in Nigeria and by extension Africa.","PeriodicalId":166322,"journal":{"name":"2019 15th International Conference on Electronics, Computer and Computation (ICECCO)","volume":"36 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":"127305843","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}
Pub Date : 2019-12-01DOI: 10.1109/ICECCO48375.2019.9043286
Muhammad Kabir Idris, Moussa Mahamat Boukar, Steve A. Adeshina
Developing nations are faced with a lot of bad roads with potholes of different debt ranges, the maintenance and rehabilitation process by government agencies is an ongoing effort that requires periodic bad road inventory to guarantee safety. Bad roads are either identified by government agency’s survey teams or individual who volunteer to report these conditions to the authorities. Our research provided a simple but effective solution to aid in automatically reporting bad roads using smart-phones through measuring the pavement profile based on the vibration of a moving vehicle. In this article, we will explain how we used some a smart-phone in reading the vibration pattern, GPS location, speed and direction of a vehicle that drives through a pothole, these parameters are periodically streamed to a cloud application. We used standard deviation to measure the level of dispersion around a segmented set of streamed vehicle vibration to identify potholes of different sizes, we also used Artificial Intelligence - supervised learning algorithm (classification) to reduce the false positive error rates due to human behaviors. The final results show a distinct vibration levels between small pot-holes, speed bumps and big pot-holes, these values are displayed on map application to visualize the geographical locations of these pot-holes (Google maps)
{"title":"Analysis of Bad Roads Using Smart phone","authors":"Muhammad Kabir Idris, Moussa Mahamat Boukar, Steve A. Adeshina","doi":"10.1109/ICECCO48375.2019.9043286","DOIUrl":"https://doi.org/10.1109/ICECCO48375.2019.9043286","url":null,"abstract":"Developing nations are faced with a lot of bad roads with potholes of different debt ranges, the maintenance and rehabilitation process by government agencies is an ongoing effort that requires periodic bad road inventory to guarantee safety. Bad roads are either identified by government agency’s survey teams or individual who volunteer to report these conditions to the authorities. Our research provided a simple but effective solution to aid in automatically reporting bad roads using smart-phones through measuring the pavement profile based on the vibration of a moving vehicle. In this article, we will explain how we used some a smart-phone in reading the vibration pattern, GPS location, speed and direction of a vehicle that drives through a pothole, these parameters are periodically streamed to a cloud application. We used standard deviation to measure the level of dispersion around a segmented set of streamed vehicle vibration to identify potholes of different sizes, we also used Artificial Intelligence - supervised learning algorithm (classification) to reduce the false positive error rates due to human behaviors. The final results show a distinct vibration levels between small pot-holes, speed bumps and big pot-holes, these values are displayed on map application to visualize the geographical locations of these pot-holes (Google maps)","PeriodicalId":166322,"journal":{"name":"2019 15th International Conference on Electronics, Computer and Computation (ICECCO)","volume":"24 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":"126709327","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}
Pub Date : 2019-12-01DOI: 10.1109/ICECCO48375.2019.9043289
H. Bello, O. Oyeleke, A. D. Usman, T. Bello, Idris Muhammad, O. S. Zakariyya
The two dimensional monolithic microwave integrated circuits (2D MMIC) are mainly implemented in a planar fashion and use microstrip design based technology. At microwave frequency and above, they would require a large amount of passive circuitry therefore occupying a great deal of space (area). Furthermore the 2D MMIC is associated with some disadvantages ranging from the use of very thin substrate which makes it less reliable, to very delicate substrate due to the use of via-hole technology, coupling issue and high cost due to large area it occupies. To solve these problems a three-dimensional multilayer technique 3D MMIC was used. The design of the 3D MMIC is based on coplanar waveguide (CPW), in this design the signal is protected by the two grounds on both side, the circuit becomes more compact, cost-effective and with improved performance. This research work was aimed at the design, modelling and investigation of a GaAs based multilayer compact 3D MMIC transmission line. Different transmission lines were designed and modelled using Agilent’s Advanced Design System (ADS) and their Sparameters were extracted using Electromagnetic (EM) simulator momentum.
{"title":"Modelling And Realization of a Compact CPW Transmission Lines Using 3D Mmics Technology in ADS Momentum","authors":"H. Bello, O. Oyeleke, A. D. Usman, T. Bello, Idris Muhammad, O. S. Zakariyya","doi":"10.1109/ICECCO48375.2019.9043289","DOIUrl":"https://doi.org/10.1109/ICECCO48375.2019.9043289","url":null,"abstract":"The two dimensional monolithic microwave integrated circuits (2D MMIC) are mainly implemented in a planar fashion and use microstrip design based technology. At microwave frequency and above, they would require a large amount of passive circuitry therefore occupying a great deal of space (area). Furthermore the 2D MMIC is associated with some disadvantages ranging from the use of very thin substrate which makes it less reliable, to very delicate substrate due to the use of via-hole technology, coupling issue and high cost due to large area it occupies. To solve these problems a three-dimensional multilayer technique 3D MMIC was used. The design of the 3D MMIC is based on coplanar waveguide (CPW), in this design the signal is protected by the two grounds on both side, the circuit becomes more compact, cost-effective and with improved performance. This research work was aimed at the design, modelling and investigation of a GaAs based multilayer compact 3D MMIC transmission line. Different transmission lines were designed and modelled using Agilent’s Advanced Design System (ADS) and their Sparameters were extracted using Electromagnetic (EM) simulator momentum.","PeriodicalId":166322,"journal":{"name":"2019 15th International Conference on Electronics, Computer and Computation (ICECCO)","volume":"2 4 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":"114386560","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}
Pub Date : 2019-12-01DOI: 10.1109/ICECCO48375.2019.9043234
M. Muhammad, R. Prasad, M. Fonkam, H. Umar
Protein secondary structure prediction plays a fundamental role in bioinformatics. Extracting valuable information from big biological data that can give an insight into understanding the 3-dimensional protein structure and later learn its biological function is quit challenging. In the past decade, many machine learning approaches have been applied in bioinformatics to extract knowledge from protein data. In this paper, a critical review on the recent development in machine learning based protein secondary structure prediction methods are presented. Next generation method (Deep learning) is also introduced to provide interested researchers with first-hand information on the future trend in this field. Although many approaches have yielded an appreciable prediction performance, machine learning approaches are far from fulfilling its potentials in biological research because of the difficulty in interpreting how particular model feature correlate with input features to yield that desired output in biological perspective. Therefore, this study has found that several further improvements are possible with the emergence of deep learning techniques.
{"title":"Review of Advances in Machine Learning Based Protein Secondary Structure Prediction","authors":"M. Muhammad, R. Prasad, M. Fonkam, H. Umar","doi":"10.1109/ICECCO48375.2019.9043234","DOIUrl":"https://doi.org/10.1109/ICECCO48375.2019.9043234","url":null,"abstract":"Protein secondary structure prediction plays a fundamental role in bioinformatics. Extracting valuable information from big biological data that can give an insight into understanding the 3-dimensional protein structure and later learn its biological function is quit challenging. In the past decade, many machine learning approaches have been applied in bioinformatics to extract knowledge from protein data. In this paper, a critical review on the recent development in machine learning based protein secondary structure prediction methods are presented. Next generation method (Deep learning) is also introduced to provide interested researchers with first-hand information on the future trend in this field. Although many approaches have yielded an appreciable prediction performance, machine learning approaches are far from fulfilling its potentials in biological research because of the difficulty in interpreting how particular model feature correlate with input features to yield that desired output in biological perspective. Therefore, this study has found that several further improvements are possible with the emergence of deep learning techniques.","PeriodicalId":166322,"journal":{"name":"2019 15th International Conference on Electronics, Computer and Computation (ICECCO)","volume":"73 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":"114567182","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}
Pub Date : 2019-12-01DOI: 10.1109/ICECCO48375.2019.9043290
Godwin Aboi, Nyangwarimam Obadiah Ali, Ezechukwu Kalu Ukiwe, Sadiq Thomas, Omotayo Oshiga, D. B. Jonathan
Water makes up about seventy (70) percent of the universe. This singular statistic implies that water is readily available; hence it has been put to numerous uses for the betterment of the human race. Hydroelectricity generation is has many advantages, which includes its flexibility in use, low maintenance cost, and availability. Although hydroelectricity poses less climate risk when compared to other methods, the equipment and machinery used together with the dam constructed have several associated environmental hazards. The problems include loss of habitat, flooding, degradation of water quality, loss of aquatic life, shortage of water. If the Government does not address the prevailing dangers by enacting legislative policies, resettlement of people affected by those areas and through other social interventions, the effects will keep hitting harder on the communities to an extent that it may be uninhabitable [1]. This paper reviews the environmental impact of hydroelectricity generation in Nigeria. It talks about the benefits derived and various ways it affects our habitat. It also proposes ways of reducing these effects to maximize the positive potentials derived from this method of power generation.
{"title":"Hydroelectricity In Nigeria: A Review Of The Associated Environmental Impact","authors":"Godwin Aboi, Nyangwarimam Obadiah Ali, Ezechukwu Kalu Ukiwe, Sadiq Thomas, Omotayo Oshiga, D. B. Jonathan","doi":"10.1109/ICECCO48375.2019.9043290","DOIUrl":"https://doi.org/10.1109/ICECCO48375.2019.9043290","url":null,"abstract":"Water makes up about seventy (70) percent of the universe. This singular statistic implies that water is readily available; hence it has been put to numerous uses for the betterment of the human race. Hydroelectricity generation is has many advantages, which includes its flexibility in use, low maintenance cost, and availability. Although hydroelectricity poses less climate risk when compared to other methods, the equipment and machinery used together with the dam constructed have several associated environmental hazards. The problems include loss of habitat, flooding, degradation of water quality, loss of aquatic life, shortage of water. If the Government does not address the prevailing dangers by enacting legislative policies, resettlement of people affected by those areas and through other social interventions, the effects will keep hitting harder on the communities to an extent that it may be uninhabitable [1]. This paper reviews the environmental impact of hydroelectricity generation in Nigeria. It talks about the benefits derived and various ways it affects our habitat. It also proposes ways of reducing these effects to maximize the positive potentials derived from this method of power generation.","PeriodicalId":166322,"journal":{"name":"2019 15th International Conference on Electronics, Computer and Computation (ICECCO)","volume":"270 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":"122834906","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}
Pub Date : 2019-12-01DOI: 10.1109/ICECCO48375.2019.9043226
Buhari U. Umar, M. B. Muazu, J. Kolo, J. Agajo, I. D. Matthew
Epilepsy affects about 1 % of the contemporary population and sternly reduces the wellbeing of its patients. It is a neurological disorder of the central nervous system that is usually characterized by sudden seizure. The possibility of detecting and predicting epileptic seizure has engrossed mankind already for over 35 years. One of the main tools in detecting and predicting the Epilepsy seizures are the Electroencephalograms (EEG), which record the brain activity by measuring the extracellular field potentials due to neuronal discharges. This EEG is quite difficult and complex to interpret even by an expert neurologist, even so, it is time-consuming, often challenging, sets in human error as well as delay in treatment. In this research, a hybrid classification model using Grasshopper Optimization Algorithm (GOA) and Artificial Neural Network (ANN) for automatic seizure detection in EEG is proposed called GOA-ANN approach. Nine parameters (mean value, variance value, Standard deviation value, energy value, entropy value and maximum value, RMS value, kurtosis and skewness) were extracted and used as the features to train the ANN classifiers. GOA was used for selecting the best features in order to obtain an effective EEG classification. In comparison with other research, the result was able to detect epilepsy and enhance the diagnosis of epilepsy with an accuracy of 98.4%. The research was also compared with Artificial Neural Network using Feed-Forward network, the result shows that GOA_ANN approach performed better.
{"title":"Epilepsy Detection Using Artificial Neural Network and Grasshopper Optimization Algorithm (GOA)","authors":"Buhari U. Umar, M. B. Muazu, J. Kolo, J. Agajo, I. D. Matthew","doi":"10.1109/ICECCO48375.2019.9043226","DOIUrl":"https://doi.org/10.1109/ICECCO48375.2019.9043226","url":null,"abstract":"Epilepsy affects about 1 % of the contemporary population and sternly reduces the wellbeing of its patients. It is a neurological disorder of the central nervous system that is usually characterized by sudden seizure. The possibility of detecting and predicting epileptic seizure has engrossed mankind already for over 35 years. One of the main tools in detecting and predicting the Epilepsy seizures are the Electroencephalograms (EEG), which record the brain activity by measuring the extracellular field potentials due to neuronal discharges. This EEG is quite difficult and complex to interpret even by an expert neurologist, even so, it is time-consuming, often challenging, sets in human error as well as delay in treatment. In this research, a hybrid classification model using Grasshopper Optimization Algorithm (GOA) and Artificial Neural Network (ANN) for automatic seizure detection in EEG is proposed called GOA-ANN approach. Nine parameters (mean value, variance value, Standard deviation value, energy value, entropy value and maximum value, RMS value, kurtosis and skewness) were extracted and used as the features to train the ANN classifiers. GOA was used for selecting the best features in order to obtain an effective EEG classification. In comparison with other research, the result was able to detect epilepsy and enhance the diagnosis of epilepsy with an accuracy of 98.4%. The research was also compared with Artificial Neural Network using Feed-Forward network, the result shows that GOA_ANN approach performed better.","PeriodicalId":166322,"journal":{"name":"2019 15th International Conference on Electronics, Computer and Computation (ICECCO)","volume":"61 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":"131354062","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}
Pub Date : 2019-12-01DOI: 10.1109/ICECCO48375.2019.9043247
A. P. Adedigba, A. R. Zubair, A. Aibinu, Steve A. Adeshina, Olumide Okubadejo, T. A. Folorunso
Diabetes Mellitus (DM) is a disease of the glucose-insulin regulatory system where the insulin producing beta-cells has been damaged thereby producing none to very little insulin leaving the body with no means of regulating glucose. DM has high socioeconomic costs because it needs long term monitoring and individual care to prevent or decrease complications. Uncontrolled or poorly controlled diabetes lead to evolution or development of microvascular and macrovascular complications. It has been shown that adequate or even tight glycaemic control can prevent or delay complications and finally can reduce these complications. One of this glycaemic control is insulin therapy, meanwhile, non-adherence to the therapy due to its sever pain is prevalent among patients. In this paper, a review of research efforts towards the development of automatic insulin injection from control engineering perspective is presented. The reviewed techniques are basically closed loop approach, which include PID controllers, Model Predictive Controllers and Adaptive Controller techniques using machine learning approaches.
{"title":"Towards the Development of Intelligent Insulin Injection Controller For Diabetic Patients","authors":"A. P. Adedigba, A. R. Zubair, A. Aibinu, Steve A. Adeshina, Olumide Okubadejo, T. A. Folorunso","doi":"10.1109/ICECCO48375.2019.9043247","DOIUrl":"https://doi.org/10.1109/ICECCO48375.2019.9043247","url":null,"abstract":"Diabetes Mellitus (DM) is a disease of the glucose-insulin regulatory system where the insulin producing beta-cells has been damaged thereby producing none to very little insulin leaving the body with no means of regulating glucose. DM has high socioeconomic costs because it needs long term monitoring and individual care to prevent or decrease complications. Uncontrolled or poorly controlled diabetes lead to evolution or development of microvascular and macrovascular complications. It has been shown that adequate or even tight glycaemic control can prevent or delay complications and finally can reduce these complications. One of this glycaemic control is insulin therapy, meanwhile, non-adherence to the therapy due to its sever pain is prevalent among patients. In this paper, a review of research efforts towards the development of automatic insulin injection from control engineering perspective is presented. The reviewed techniques are basically closed loop approach, which include PID controllers, Model Predictive Controllers and Adaptive Controller techniques using machine learning approaches.","PeriodicalId":166322,"journal":{"name":"2019 15th International Conference on Electronics, Computer and Computation (ICECCO)","volume":"1 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":"131379219","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}
Pub Date : 2019-12-01DOI: 10.1109/ICECCO48375.2019.9043265
Oyekele Olusenu, A. Obadiah, M. Hamid, Sadiq Thomas, I. Orikumhi, Omotayo Oshiga
This paper proposes a reconfigurable Vivaldi antenna with bandwidth control. The Vivaldi antenna is incorporated with two pairs of circular slot resonator for the purpose of switching. Pin diodes are used to switch ON/OFF the circular slot resonators one pair at a time. The bandwidth of the Vivaldi antenna can be controlled from a wideband (1. 08GHz to 3GHz) to two different narrower bandwidths at a fixed center frequency of 2. 6GHz. A DC biasing network is formed around the antenna to aid switching. The design is simulated in CST microwave studio using FR4 substrate and has been confirmed through fabrication and measurement in an anechoic chamber. This antenna is good for applications requiring bandwidth control such as Long Term Evolution (LTE).
{"title":"A Reconfigurable Vivaldi Antenna with bandwidth control","authors":"Oyekele Olusenu, A. Obadiah, M. Hamid, Sadiq Thomas, I. Orikumhi, Omotayo Oshiga","doi":"10.1109/ICECCO48375.2019.9043265","DOIUrl":"https://doi.org/10.1109/ICECCO48375.2019.9043265","url":null,"abstract":"This paper proposes a reconfigurable Vivaldi antenna with bandwidth control. The Vivaldi antenna is incorporated with two pairs of circular slot resonator for the purpose of switching. Pin diodes are used to switch ON/OFF the circular slot resonators one pair at a time. The bandwidth of the Vivaldi antenna can be controlled from a wideband (1. 08GHz to 3GHz) to two different narrower bandwidths at a fixed center frequency of 2. 6GHz. A DC biasing network is formed around the antenna to aid switching. The design is simulated in CST microwave studio using FR4 substrate and has been confirmed through fabrication and measurement in an anechoic chamber. This antenna is good for applications requiring bandwidth control such as Long Term Evolution (LTE).","PeriodicalId":166322,"journal":{"name":"2019 15th International Conference on Electronics, Computer and Computation (ICECCO)","volume":"210 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":"132839880","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}
Pub Date : 2019-12-01DOI: 10.1109/ICECCO48375.2019.9043252
Muktar MT. Othman, Steve A. Adeshina, Moussa Mahamat Boukar
This study aim is to design a road anomaly transmission Algorithms using Ant Colony optimization (ACO) based Technique in a Vehicle-to-Vehicle (V2V) and Vehicle to Infrastructure (V2I) Communication. The developed VACO also uses the features of VANET to find out the optimal path by considering a minimum number of nodes and cost parameters, which provides information related to accidents, speed of neighbouring vehicle and weather to help users in making informed decisions. Vehicle routing protocol based on ACO (VACO) also ensures to mitigate issues by combining the reactive and proactive approach and considers the parameters affecting the Quality of Service (QoS) such as latency, bandwidth, and delivery ratio in evaluating the Algorithms.
{"title":"Development Of Road Anomaly Data Transmission Using Ant Colony Optimization Algorithm in a Vehicle-To-Vehicle Communication","authors":"Muktar MT. Othman, Steve A. Adeshina, Moussa Mahamat Boukar","doi":"10.1109/ICECCO48375.2019.9043252","DOIUrl":"https://doi.org/10.1109/ICECCO48375.2019.9043252","url":null,"abstract":"This study aim is to design a road anomaly transmission Algorithms using Ant Colony optimization (ACO) based Technique in a Vehicle-to-Vehicle (V2V) and Vehicle to Infrastructure (V2I) Communication. The developed VACO also uses the features of VANET to find out the optimal path by considering a minimum number of nodes and cost parameters, which provides information related to accidents, speed of neighbouring vehicle and weather to help users in making informed decisions. Vehicle routing protocol based on ACO (VACO) also ensures to mitigate issues by combining the reactive and proactive approach and considers the parameters affecting the Quality of Service (QoS) such as latency, bandwidth, and delivery ratio in evaluating the Algorithms.","PeriodicalId":166322,"journal":{"name":"2019 15th International Conference on Electronics, Computer and Computation (ICECCO)","volume":"11 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":"133171488","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}
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