Pub Date : 2018-09-01DOI: 10.1109/ICCCE.2018.8539284
M. Ahmed, Magzoub Albashier, A. Aziz, Hadhrami Abd. Ghani, A. Samingan
The use of wireless sensor networks is increasing rapidly especially with the next generations networks. The problem with the wireless sensor networks is that each node in the networks has a limited battery life. In addition to that most of the security algorithms that are used consume so much processing power. This paper studies the coding techniques that are energy efficient and can provide security in terms of physical layer security. Reed Solomon code found to be more secure and less energy efficient than Bose-Chaudhuri-Hocquenghem while Bose-Chaudhuri-Hocquenghem code is more energy efficient but less secure when it is compared to Reed Solomon.
{"title":"Performance Comparison of Energy Efficiency and Physical Layer Security for Reed Solomon and Bose-Chaudhuri-Hocquenghem Codes in Wireless Sensor Networks","authors":"M. Ahmed, Magzoub Albashier, A. Aziz, Hadhrami Abd. Ghani, A. Samingan","doi":"10.1109/ICCCE.2018.8539284","DOIUrl":"https://doi.org/10.1109/ICCCE.2018.8539284","url":null,"abstract":"The use of wireless sensor networks is increasing rapidly especially with the next generations networks. The problem with the wireless sensor networks is that each node in the networks has a limited battery life. In addition to that most of the security algorithms that are used consume so much processing power. This paper studies the coding techniques that are energy efficient and can provide security in terms of physical layer security. Reed Solomon code found to be more secure and less energy efficient than Bose-Chaudhuri-Hocquenghem while Bose-Chaudhuri-Hocquenghem code is more energy efficient but less secure when it is compared to Reed Solomon.","PeriodicalId":260264,"journal":{"name":"2018 7th International Conference on Computer and Communication Engineering (ICCCE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131233394","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 : 2018-09-01DOI: 10.1109/ICCCE.2018.8539246
N. A. Malek, Nur Hamizah Muhamad Mokhtar, K. Ali, F. N. M. Isa, Farah Diyana Abdul Rahman
In many wireless applications, antennas came with the majority of variable sizes. The interest for compact antennas in the industry have become high. Thus, the demand for small antenna is huge especially due to the booming industry of mobile communication. Generally, an antenna at low frequency exhibits in large physical size. This project investigates the design of an antenna at 400 MHz. The simulation of the antenna has been performed using CST MWS. Since medical applications are dealing with low frequency, it will lead to large size of antenna which brings a challenge for wireless personal area network (WPAN). Therefore, antenna miniaturization using Meander Line (ML) will be taking place to overcome the challenges. Thus, this paper presents a comparison between i) printed dipole antenna without meander line technique, ii) printed dipole with meander line technique and iii) printed monopole antenna with meander line technique. The results show that an estimation of reduction size by 50% can be achieved using Meander Line technique.
{"title":"Design of Small Antennas for 400 MHz Applications","authors":"N. A. Malek, Nur Hamizah Muhamad Mokhtar, K. Ali, F. N. M. Isa, Farah Diyana Abdul Rahman","doi":"10.1109/ICCCE.2018.8539246","DOIUrl":"https://doi.org/10.1109/ICCCE.2018.8539246","url":null,"abstract":"In many wireless applications, antennas came with the majority of variable sizes. The interest for compact antennas in the industry have become high. Thus, the demand for small antenna is huge especially due to the booming industry of mobile communication. Generally, an antenna at low frequency exhibits in large physical size. This project investigates the design of an antenna at 400 MHz. The simulation of the antenna has been performed using CST MWS. Since medical applications are dealing with low frequency, it will lead to large size of antenna which brings a challenge for wireless personal area network (WPAN). Therefore, antenna miniaturization using Meander Line (ML) will be taking place to overcome the challenges. Thus, this paper presents a comparison between i) printed dipole antenna without meander line technique, ii) printed dipole with meander line technique and iii) printed monopole antenna with meander line technique. The results show that an estimation of reduction size by 50% can be achieved using Meander Line technique.","PeriodicalId":260264,"journal":{"name":"2018 7th International Conference on Computer and Communication Engineering (ICCCE)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115496211","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 : 2018-09-01DOI: 10.1109/ICCCE.2018.8539271
I. Ghaffar, M. N. Mohd
Traditionally, stereo images are images of the same object or scene captured by two different cameras. Recently, a lot of smartphone manufacturers had introduced dual lens camera models into the market. This paper looks into utilizing the smartphone’s built-in dual lens camera to capture stereo images for the development of stereo vision app on Android smartphones. We will go through the tools needed to build the app and how to access the dual lens camera individually. Because not all smartphone allows access to the camera’s lens individually, we must investigate and determine which smartphone models provide the ability to do that. The result shows that LG smartphones allow us to access the camera individually. LG offers the most flexible and full camera control. Huawei smartphones (including Huawei’s subbrand Honor) have extra parameters to an existing camera control that might be able to use but further investigation is needed. Since the suitable smartphone models have been identified here, you can acquire any one of those LG smartphone models and start to develop your own stereo vision Android app.
{"title":"Selection of Android Smartphones with Built-in Dual Lens Camera for Stereo Vision Android App Development","authors":"I. Ghaffar, M. N. Mohd","doi":"10.1109/ICCCE.2018.8539271","DOIUrl":"https://doi.org/10.1109/ICCCE.2018.8539271","url":null,"abstract":"Traditionally, stereo images are images of the same object or scene captured by two different cameras. Recently, a lot of smartphone manufacturers had introduced dual lens camera models into the market. This paper looks into utilizing the smartphone’s built-in dual lens camera to capture stereo images for the development of stereo vision app on Android smartphones. We will go through the tools needed to build the app and how to access the dual lens camera individually. Because not all smartphone allows access to the camera’s lens individually, we must investigate and determine which smartphone models provide the ability to do that. The result shows that LG smartphones allow us to access the camera individually. LG offers the most flexible and full camera control. Huawei smartphones (including Huawei’s subbrand Honor) have extra parameters to an existing camera control that might be able to use but further investigation is needed. Since the suitable smartphone models have been identified here, you can acquire any one of those LG smartphone models and start to develop your own stereo vision Android app.","PeriodicalId":260264,"journal":{"name":"2018 7th International Conference on Computer and Communication Engineering (ICCCE)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115217953","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 : 2018-09-01DOI: 10.1109/ICCCE.2018.8539324
Asma Ali Hussein Budalal, M. R. Islam, M. H. Habaebi, T. Rahman
Millimeter wave is the key enablers for modern wireless applications. The Utilization of millimeter wave technology becomes a key factor in solving the problem of bandwidth shortage. Millimeter wave leads to delivering much higher throughput, faster data rate, and capacity. However, it is still facing some technical challenges’. The main objective of this paper is to identify research challenges in the mm-wave channel and activities on modeling. A brief analysis of rain fading was presented based on simultaneously measurement of one-minute rain rate and its effects on a short experimental link of 38 GHz and rain fade is observed as high as 15 dB for 300 m path at about 125 mm/hr rain intensity. Hence rain attenuation at 0.001% and 0.01% of outages must be considered for 38 GHz. The statistical spatial channel mode simulation software was utilized for an operating frequency of 38 GHz. To observe the received power and path loss, power delay profile (PDP) was generated. The omnidirectional and directional received power and path loss have been estimated using environmental parameters of Kuala Lumpur city which illustrates the theoretical performances of 5G in Malaysia. As the receiver moves from line-of-sight (LOS) to non-line-of-sight (NLOS) scenarios, a drop of 33.1 dB omnidirectional power is found.
{"title":"Millimeter Wave Channel Modeling – Present Development and Challenges in Tropical Areas","authors":"Asma Ali Hussein Budalal, M. R. Islam, M. H. Habaebi, T. Rahman","doi":"10.1109/ICCCE.2018.8539324","DOIUrl":"https://doi.org/10.1109/ICCCE.2018.8539324","url":null,"abstract":"Millimeter wave is the key enablers for modern wireless applications. The Utilization of millimeter wave technology becomes a key factor in solving the problem of bandwidth shortage. Millimeter wave leads to delivering much higher throughput, faster data rate, and capacity. However, it is still facing some technical challenges’. The main objective of this paper is to identify research challenges in the mm-wave channel and activities on modeling. A brief analysis of rain fading was presented based on simultaneously measurement of one-minute rain rate and its effects on a short experimental link of 38 GHz and rain fade is observed as high as 15 dB for 300 m path at about 125 mm/hr rain intensity. Hence rain attenuation at 0.001% and 0.01% of outages must be considered for 38 GHz. The statistical spatial channel mode simulation software was utilized for an operating frequency of 38 GHz. To observe the received power and path loss, power delay profile (PDP) was generated. The omnidirectional and directional received power and path loss have been estimated using environmental parameters of Kuala Lumpur city which illustrates the theoretical performances of 5G in Malaysia. As the receiver moves from line-of-sight (LOS) to non-line-of-sight (NLOS) scenarios, a drop of 33.1 dB omnidirectional power is found.","PeriodicalId":260264,"journal":{"name":"2018 7th International Conference on Computer and Communication Engineering (ICCCE)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128037039","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 : 2018-09-01DOI: 10.1109/ICCCE.2018.8539263
Mohamad Syafiq Mazli, W. Fauzi, Sheroz Khan, K. A. Aznan, Chandrasekharan Nataraj, I. Adam, K. Kadir, M. Ahmed, M. Yaacob
This paper studied the implementation of wireless power transfer through using a mix of inductive and capacitive coupling techniqbes to overcome the disadvantages of wired power transfer. The topology for the prototype of the combined system is based on LC-compensated topology, the combination of LCC-compensated topology of inductive power transfer together with LCLC-compensated of the capacitive power transfer. The power energy is transferred through the 30 mm $times 30$ mm of inductive coupler with the help of 61 mm $times 61$ mm of capacitive coupler. The simulation results proved that the power can be transferred through both inductive and capacitive coupler by observing the magnetic and electric fields. An experiment has proven that both inductive and capacitive coupler resonate together, using the compensation components in transferring power.
本文研究了利用电感和电容耦合技术实现无线电力传输，以克服有线电力传输的缺点。组合系统原型的拓扑结构基于lc补偿拓扑，即电感功率传输的lc补偿拓扑与电容功率传输的lc补偿拓扑的结合。电能通过30 mm × 30 mm的电感耦合器和61 mm × 61 mm的电容耦合器传递。通过对磁场和电场的观察，仿真结果证明了功率可以通过电感耦合器和电容耦合器传递。实验证明，电感耦合器和电容耦合器在传输功率时采用补偿元件进行谐振。
{"title":"Inductive & Capacitive Wireless Power Transfer System","authors":"Mohamad Syafiq Mazli, W. Fauzi, Sheroz Khan, K. A. Aznan, Chandrasekharan Nataraj, I. Adam, K. Kadir, M. Ahmed, M. Yaacob","doi":"10.1109/ICCCE.2018.8539263","DOIUrl":"https://doi.org/10.1109/ICCCE.2018.8539263","url":null,"abstract":"This paper studied the implementation of wireless power transfer through using a mix of inductive and capacitive coupling techniqbes to overcome the disadvantages of wired power transfer. The topology for the prototype of the combined system is based on LC-compensated topology, the combination of LCC-compensated topology of inductive power transfer together with LCLC-compensated of the capacitive power transfer. The power energy is transferred through the 30 mm $times 30$ mm of inductive coupler with the help of 61 mm $times 61$ mm of capacitive coupler. The simulation results proved that the power can be transferred through both inductive and capacitive coupler by observing the magnetic and electric fields. An experiment has proven that both inductive and capacitive coupler resonate together, using the compensation components in transferring power.","PeriodicalId":260264,"journal":{"name":"2018 7th International Conference on Computer and Communication Engineering (ICCCE)","volume":"94 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126437198","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 : 2018-09-01DOI: 10.1109/ICCCE.2018.8539283
M. A. Muin, N. F. Za'bah
Drivers can easily be distracted by their handheld devices while they are driving and this ultimately contributed to the increase of road accidents. This work proposed a steering wheel cover that is designed using an array of touch sensors TTP223 and Raspberry Pi 3 microprocessor. A tilt sensor is also incorporated in order to mimic the movement of the system. Using Python as the main programming language and the Raspbian OS, for a sample size of 40 touch inputs, the system yielded an accuracy of 97.5 % and 75.0 % in its input detection during stationary and driving mode. The results have shown that as a proof of concept, the proposed system is capable of detecting touch inputs from the user’s hand and determining the position of the hands on the steering wheel.
{"title":"Smart Steering Auto Alert System","authors":"M. A. Muin, N. F. Za'bah","doi":"10.1109/ICCCE.2018.8539283","DOIUrl":"https://doi.org/10.1109/ICCCE.2018.8539283","url":null,"abstract":"Drivers can easily be distracted by their handheld devices while they are driving and this ultimately contributed to the increase of road accidents. This work proposed a steering wheel cover that is designed using an array of touch sensors TTP223 and Raspberry Pi 3 microprocessor. A tilt sensor is also incorporated in order to mimic the movement of the system. Using Python as the main programming language and the Raspbian OS, for a sample size of 40 touch inputs, the system yielded an accuracy of 97.5 % and 75.0 % in its input detection during stationary and driving mode. The results have shown that as a proof of concept, the proposed system is capable of detecting touch inputs from the user’s hand and determining the position of the hands on the steering wheel.","PeriodicalId":260264,"journal":{"name":"2018 7th International Conference on Computer and Communication Engineering (ICCCE)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133225459","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 : 2018-09-01DOI: 10.1109/ICCCE.2018.8539342
Subha Fairuz, M. H. Habaebi, E. Elsheikh, A. Chebil
Convolutional Neural Network (CNN) is opening new horizons in biometrics-based authentication field and finger vein recognition is the prominent one which can provide the best possible security system depending on this aforementioned technology. In this paper, we used 5 convolutional layers and 4 fully-connected layers where our developed network has shown the capability to produce the result with almost 100% accuracy rate which became possible due to the fact that deep learning, an end-to-end system is used which performs better in a lot of aspects in comparison to conventional techniques.
{"title":"Convolutional Neural Network-based Finger Vein Recognition using Near Infrared Images","authors":"Subha Fairuz, M. H. Habaebi, E. Elsheikh, A. Chebil","doi":"10.1109/ICCCE.2018.8539342","DOIUrl":"https://doi.org/10.1109/ICCCE.2018.8539342","url":null,"abstract":"Convolutional Neural Network (CNN) is opening new horizons in biometrics-based authentication field and finger vein recognition is the prominent one which can provide the best possible security system depending on this aforementioned technology. In this paper, we used 5 convolutional layers and 4 fully-connected layers where our developed network has shown the capability to produce the result with almost 100% accuracy rate which became possible due to the fact that deep learning, an end-to-end system is used which performs better in a lot of aspects in comparison to conventional techniques.","PeriodicalId":260264,"journal":{"name":"2018 7th International Conference on Computer and Communication Engineering (ICCCE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129028221","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 : 2018-09-01DOI: 10.1109/ICCCE.2018.8539313
H. Binh, M. Chau, A. Sugimoto, Bui The Duy
Recent applications of Convolutional Neural Networks, especially 3-Dimensional Convolutional Neural Networks (3DCNNs) for human action recognition (HAR) in videos have widely used. In this paper, we use a multi-stream framework which is a combination of separated networks with different kinds of input generated from a unique video dataset. We study various methods for extracting best frames in videos for action representation and find the way to fuse multiple networks for better recognition. We make the following work: first, we propose a method to extract the active frames (called Selected Active Frames - SAF) from videos to build datasets for 3DCNNs in video classification problem. Secondly, we propose a mixed fusing approach called Vote fusion which is considered as an effective fusion method for ensembling multi-stream networks. We evaluate the proposed approach to solving action recognition problem. We carry out this approach on three well-known datasets (KTH, HMDB51, and UCF101). The results are also compared to the state-of-the-art results to illustrate the efficiency and effectiveness in our approach.
近年来卷积神经网络的应用，特别是三维卷积神经网络(3dcnn)在视频中的人体动作识别(HAR)得到了广泛的应用。在本文中，我们使用了一个多流框架，它是由一个独特的视频数据集生成的具有不同类型输入的分离网络的组合。我们研究了从视频中提取最佳帧用于动作表示的各种方法，并找到了融合多个网络以获得更好识别的方法。我们做了以下工作:首先，我们提出了一种从视频中提取活动帧的方法(称为Selected active frames - SAF)来构建3dcnn在视频分类问题中的数据集。其次，我们提出了一种称为投票融合的混合融合方法，它被认为是集成多流网络的一种有效的融合方法。我们评估了所提出的解决动作识别问题的方法。我们在三个知名的数据集(KTH, HMDB51和UCF101)上进行了这种方法。结果还与最先进的结果进行了比较，以说明我们的方法的效率和有效性。
{"title":"Selecting active frames for action recognition with vote fusion method","authors":"H. Binh, M. Chau, A. Sugimoto, Bui The Duy","doi":"10.1109/ICCCE.2018.8539313","DOIUrl":"https://doi.org/10.1109/ICCCE.2018.8539313","url":null,"abstract":"Recent applications of Convolutional Neural Networks, especially 3-Dimensional Convolutional Neural Networks (3DCNNs) for human action recognition (HAR) in videos have widely used. In this paper, we use a multi-stream framework which is a combination of separated networks with different kinds of input generated from a unique video dataset. We study various methods for extracting best frames in videos for action representation and find the way to fuse multiple networks for better recognition. We make the following work: first, we propose a method to extract the active frames (called Selected Active Frames - SAF) from videos to build datasets for 3DCNNs in video classification problem. Secondly, we propose a mixed fusing approach called Vote fusion which is considered as an effective fusion method for ensembling multi-stream networks. We evaluate the proposed approach to solving action recognition problem. We carry out this approach on three well-known datasets (KTH, HMDB51, and UCF101). The results are also compared to the state-of-the-art results to illustrate the efficiency and effectiveness in our approach.","PeriodicalId":260264,"journal":{"name":"2018 7th International Conference on Computer and Communication Engineering (ICCCE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129808872","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 : 2018-09-01DOI: 10.1109/ICCCE.2018.8539328
Md. Armanur Rahman, J. Hossen, Venkataseshaiah C
Apache Spark, popularly known for big data processing capability, is a distributed open-source platform that uses the concept of distributed memory to facilitate big data processing proficiently. From the aspect of performance, it is still a big challenge to obtain the best output from Spark, since the Spark configuration settings with large parameters configuration affect its performance at large extent. Spark has over 180 parameters which control the system performance. These parameters have default values, which lie in a range. User can manually select the suitable values for each parameter. Improper choice of the parameter value leads to poor performance. Manual tuning of the parameters in Hadoop-Spark system requires user to have in-depth knowledge on the system. Because of large parameter space, manual tuning is very time consuming and inefficient. Retuning of the parameters may be required for each different application. This paper propose and developed an effective, self-tuning approach, namely SMBSP, based on Artificial Neural Network (ANN) to avoid the drawbacks of manual tuning of parameters. Dell Poweredge R720 server has been utilized with 5 different sizes of dataset to implement the approach. Furthermore, this approach is found to speed-up the performance of the Spark system by 35% (on an average) compared with default parameter configuration.
{"title":"SMBSP: A Self-Tuning Approach using Machine Learning to Improve Performance of Spark in Big Data Processing","authors":"Md. Armanur Rahman, J. Hossen, Venkataseshaiah C","doi":"10.1109/ICCCE.2018.8539328","DOIUrl":"https://doi.org/10.1109/ICCCE.2018.8539328","url":null,"abstract":"Apache Spark, popularly known for big data processing capability, is a distributed open-source platform that uses the concept of distributed memory to facilitate big data processing proficiently. From the aspect of performance, it is still a big challenge to obtain the best output from Spark, since the Spark configuration settings with large parameters configuration affect its performance at large extent. Spark has over 180 parameters which control the system performance. These parameters have default values, which lie in a range. User can manually select the suitable values for each parameter. Improper choice of the parameter value leads to poor performance. Manual tuning of the parameters in Hadoop-Spark system requires user to have in-depth knowledge on the system. Because of large parameter space, manual tuning is very time consuming and inefficient. Retuning of the parameters may be required for each different application. This paper propose and developed an effective, self-tuning approach, namely SMBSP, based on Artificial Neural Network (ANN) to avoid the drawbacks of manual tuning of parameters. Dell Poweredge R720 server has been utilized with 5 different sizes of dataset to implement the approach. Furthermore, this approach is found to speed-up the performance of the Spark system by 35% (on an average) compared with default parameter configuration.","PeriodicalId":260264,"journal":{"name":"2018 7th International Conference on Computer and Communication Engineering (ICCCE)","volume":"124 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123610953","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 : 2018-09-01DOI: 10.1109/ICCCE.2018.8539327
Nurul Afifah Binti Masadan, M. H. Habaebi, S. Yusoff
LoRa, one of the most outstanding low power wide area network (LPWAN) technology has unique and remarkable features. Because of its long-range coverage, low power consumption and low cost system architecture, Lora WAN has becoming a favorable option for performing communication in most of IoT wireless applications. This project aimed at quantifying the foliage effect in terms of attenuation and its overall contribution to the path-loss and link budget calculations. Specifically, five tree types were studied and their contribution to the path loss were quantified for different path crossings (e.g., trunk, tree-top and branches). The trees are Licuala Grandis, Mimusops Elengi, Mangifera Indica, Cyrtostachys Renda and Livistona Chinensis. Mimusops Elengi tree, characterized by its big size and crown density, gave the strongest mean foliage attenuation accumulating up to 20 dB. Trunks contribute even higher attenuation in comparison to tree-tops and branches. The Okumura/Hata, Log-normal shadowing and foliage models are used as references for this propagation models development. Our study showed that Okumura fails to capture the effect of foliage in International Islamic University Malaysia, Gombak campus that is rich in trees. This goes to illustrate the necessity for considering the tropical environment where the characterization of foliage attenuation plays an important role in determining the propagation model path-loss and link budget needed for LoRa network design and planning.
{"title":"LoRa LPWAN Propagation Channel Modelling in IIUM Campus","authors":"Nurul Afifah Binti Masadan, M. H. Habaebi, S. Yusoff","doi":"10.1109/ICCCE.2018.8539327","DOIUrl":"https://doi.org/10.1109/ICCCE.2018.8539327","url":null,"abstract":"LoRa, one of the most outstanding low power wide area network (LPWAN) technology has unique and remarkable features. Because of its long-range coverage, low power consumption and low cost system architecture, Lora WAN has becoming a favorable option for performing communication in most of IoT wireless applications. This project aimed at quantifying the foliage effect in terms of attenuation and its overall contribution to the path-loss and link budget calculations. Specifically, five tree types were studied and their contribution to the path loss were quantified for different path crossings (e.g., trunk, tree-top and branches). The trees are Licuala Grandis, Mimusops Elengi, Mangifera Indica, Cyrtostachys Renda and Livistona Chinensis. Mimusops Elengi tree, characterized by its big size and crown density, gave the strongest mean foliage attenuation accumulating up to 20 dB. Trunks contribute even higher attenuation in comparison to tree-tops and branches. The Okumura/Hata, Log-normal shadowing and foliage models are used as references for this propagation models development. Our study showed that Okumura fails to capture the effect of foliage in International Islamic University Malaysia, Gombak campus that is rich in trees. This goes to illustrate the necessity for considering the tropical environment where the characterization of foliage attenuation plays an important role in determining the propagation model path-loss and link budget needed for LoRa network design and planning.","PeriodicalId":260264,"journal":{"name":"2018 7th International Conference on Computer and Communication Engineering (ICCCE)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128964784","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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