Pub Date : 2019-10-01DOI: 10.1109/ICITEED.2019.8929996
D. I. Sensuse, R. Rusli, Y.P. Noni Pamungkas, C. Haryani, Jurnalistika Febra, Sofian Lusa, Nadya Safitri, P. Prima
The State-Owned Company called Indonesian Electronic Power Company that provides services to customers and the public in the electricity in Indonesia required to fulfill effective, efficient, timely, and economical public services. The challenge to perform the services were responded by implementing knowledge management (KM) at Indonesian Electronic Power Company since 2008. This study is trying to gets the answer for the following research question: How the implementation of Knowledge Management impact on the organizational performance of Indonesian Electronic Power Company?The study was conducted using a quantitative questionnaire with Indonesian Electronic Power Company employees from different unit in Indonesian Electronic Power Company working areas as respondents. There were ten hypotheses tested, regarding the KM impact to People, Process, Product, and the Organizational Performance. The findings show that each hypothesis is proven with some notes. The result could also be relevant to the other state-owned company that is already implementing KM.
{"title":"Research On The Impact of Knowledge Management Practice for Ogranizational Performance: Indonesian Electronic Power Company","authors":"D. I. Sensuse, R. Rusli, Y.P. Noni Pamungkas, C. Haryani, Jurnalistika Febra, Sofian Lusa, Nadya Safitri, P. Prima","doi":"10.1109/ICITEED.2019.8929996","DOIUrl":"https://doi.org/10.1109/ICITEED.2019.8929996","url":null,"abstract":"The State-Owned Company called Indonesian Electronic Power Company that provides services to customers and the public in the electricity in Indonesia required to fulfill effective, efficient, timely, and economical public services. The challenge to perform the services were responded by implementing knowledge management (KM) at Indonesian Electronic Power Company since 2008. This study is trying to gets the answer for the following research question: How the implementation of Knowledge Management impact on the organizational performance of Indonesian Electronic Power Company?The study was conducted using a quantitative questionnaire with Indonesian Electronic Power Company employees from different unit in Indonesian Electronic Power Company working areas as respondents. There were ten hypotheses tested, regarding the KM impact to People, Process, Product, and the Organizational Performance. The findings show that each hypothesis is proven with some notes. The result could also be relevant to the other state-owned company that is already implementing KM.","PeriodicalId":6598,"journal":{"name":"2019 11th International Conference on Information Technology and Electrical Engineering (ICITEE)","volume":"5 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73724060","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 : 2019-10-01DOI: 10.1109/ICITEED.2019.8929998
Kanin Piemngam, I. Nilkhamhang, P. Bunnun
This research reports the formation control method of multi holonomic robots for cooperative transportation. The proposed method is based on the concept of a virtual structure. There are virtual springs and dampers link between the virtual leader (VL) and follower robots. With the virtual spring and damper forces, a group of robots can follow the VL while keeping the distance from the VL and other follower robots to avoid a collision among them. The algorithm required a predefined formation shape and size depend on a transport object. The proposed method was developed based on the Robot Operating System (ROS) and evaluated in the simulation software Gazebo. Two experiments were conducted by using the 3D model of our Mecanum wheel robot platform. In the first experiment, the four follower robots can aggregate to the position of the VL to form a diamond shape formation. In the second experiment, a group of follower robots with an object on their bodies can maintain a formation while following the VL along a predefined trajectory. The simulation results confirm that the method proposed in this paper is feasible for the cooperative transportation task.
{"title":"A Virtual Spring Damper Method for Formation Control of the Multi Omni-directional Robots in Cooperative Transportation","authors":"Kanin Piemngam, I. Nilkhamhang, P. Bunnun","doi":"10.1109/ICITEED.2019.8929998","DOIUrl":"https://doi.org/10.1109/ICITEED.2019.8929998","url":null,"abstract":"This research reports the formation control method of multi holonomic robots for cooperative transportation. The proposed method is based on the concept of a virtual structure. There are virtual springs and dampers link between the virtual leader (VL) and follower robots. With the virtual spring and damper forces, a group of robots can follow the VL while keeping the distance from the VL and other follower robots to avoid a collision among them. The algorithm required a predefined formation shape and size depend on a transport object. The proposed method was developed based on the Robot Operating System (ROS) and evaluated in the simulation software Gazebo. Two experiments were conducted by using the 3D model of our Mecanum wheel robot platform. In the first experiment, the four follower robots can aggregate to the position of the VL to form a diamond shape formation. In the second experiment, a group of follower robots with an object on their bodies can maintain a formation while following the VL along a predefined trajectory. The simulation results confirm that the method proposed in this paper is feasible for the cooperative transportation task.","PeriodicalId":6598,"journal":{"name":"2019 11th International Conference on Information Technology and Electrical Engineering (ICITEE)","volume":"143 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73979505","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 : 2019-10-01DOI: 10.1109/ICITEED.2019.8929954
U. Tuntoolavest, Pawarit Manakul
In previous work, a verification-based decoding was used to indicate an approximate beginning of uncorrectable error patterns for nonbinary convolutional codes. Sender then retransmitted a partial frame, which included some unnecessary symbols. This paper proposes a more efficient ARQ with minimum retransmitted symbols thanks to the fact that the selected decoder can pinpoint exact error symbol positions. Preferred feedback frame structure is also proposed. Simulation results show that for a (60, 30) LDPC codes in a 2-state fading channel, the feedback frame with the subgroup format is preferred over the fixed size or the binary coded format. For this code, the shortest feedback frame uses 15 subgroups with 4 members for the whole range of the transition probability of non-fade to fade state of 0.05-0.25. It is better than the 3, 6, 10 and 12 members per subgroup because “15” is close to a power of 2 and “4” is small enough since the only subgroups with wrong symbols will be included in the feedback frame.
{"title":"Efficient Partial Retransmission ARQ Strategy with Verification-based Decoding for Nonbinary Block Codes","authors":"U. Tuntoolavest, Pawarit Manakul","doi":"10.1109/ICITEED.2019.8929954","DOIUrl":"https://doi.org/10.1109/ICITEED.2019.8929954","url":null,"abstract":"In previous work, a verification-based decoding was used to indicate an approximate beginning of uncorrectable error patterns for nonbinary convolutional codes. Sender then retransmitted a partial frame, which included some unnecessary symbols. This paper proposes a more efficient ARQ with minimum retransmitted symbols thanks to the fact that the selected decoder can pinpoint exact error symbol positions. Preferred feedback frame structure is also proposed. Simulation results show that for a (60, 30) LDPC codes in a 2-state fading channel, the feedback frame with the subgroup format is preferred over the fixed size or the binary coded format. For this code, the shortest feedback frame uses 15 subgroups with 4 members for the whole range of the transition probability of non-fade to fade state of 0.05-0.25. It is better than the 3, 6, 10 and 12 members per subgroup because “15” is close to a power of 2 and “4” is small enough since the only subgroups with wrong symbols will be included in the feedback frame.","PeriodicalId":6598,"journal":{"name":"2019 11th International Conference on Information Technology and Electrical Engineering (ICITEE)","volume":"38 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76001375","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 : 2019-10-01DOI: 10.1109/ICITEED.2019.8929991
Rembianov, L. Kevin, J. Sulistianto, N. R. Poespawati
Perovskite is an active material that can generate electrons when exposed to rays that are currently widely investigated in the development of perovskite solar cells. Perovskite solar cells become the fastest of increasing efficiency compared with other solar cell materials. In the perovskite solar cells development, cost efficiency becomes a challenge for commercialization and mass production. The use of silver (Ag) or gold (Au) as the counter electrode (CE) of perovskite solar cells increases the cost production highly. In addition to very expensive material prices, high-energy consumption is needed to evaporate silver and gold onto the FTO glass which makes the manufacturing process expensive. Carbon material has been a great candidate to replace silver or gold as the CE of perovskite solar cells. The electrical properties of carbon materials closely resemble the electrical properties of gold which makes carbon more advantageous compared with silver or gold. Activated carbon made from burnt coconut shells is one type of carbon using low-cost materials which is easy to get considering that Indonesia has a beach overgrown by palm trees. In this research, we will use activated carbon made from burning coconut shells as the CE of perovskite solar cells. The data shows a comparison between pure activated carbon and activated carbon mixed with paraffin oil. The result concludes that activated carbon mixed with paraffin oil shows the best performance with VOC of 0.7 V, of 2.25 mA, and FF of 0.371.
{"title":"Activated Carbon as the Counter Electrode on Perovskite Solar Cells","authors":"Rembianov, L. Kevin, J. Sulistianto, N. R. Poespawati","doi":"10.1109/ICITEED.2019.8929991","DOIUrl":"https://doi.org/10.1109/ICITEED.2019.8929991","url":null,"abstract":"Perovskite is an active material that can generate electrons when exposed to rays that are currently widely investigated in the development of perovskite solar cells. Perovskite solar cells become the fastest of increasing efficiency compared with other solar cell materials. In the perovskite solar cells development, cost efficiency becomes a challenge for commercialization and mass production. The use of silver (Ag) or gold (Au) as the counter electrode (CE) of perovskite solar cells increases the cost production highly. In addition to very expensive material prices, high-energy consumption is needed to evaporate silver and gold onto the FTO glass which makes the manufacturing process expensive. Carbon material has been a great candidate to replace silver or gold as the CE of perovskite solar cells. The electrical properties of carbon materials closely resemble the electrical properties of gold which makes carbon more advantageous compared with silver or gold. Activated carbon made from burnt coconut shells is one type of carbon using low-cost materials which is easy to get considering that Indonesia has a beach overgrown by palm trees. In this research, we will use activated carbon made from burning coconut shells as the CE of perovskite solar cells. The data shows a comparison between pure activated carbon and activated carbon mixed with paraffin oil. The result concludes that activated carbon mixed with paraffin oil shows the best performance with VOC of 0.7 V, of 2.25 mA, and FF of 0.371.","PeriodicalId":6598,"journal":{"name":"2019 11th International Conference on Information Technology and Electrical Engineering (ICITEE)","volume":"269 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77167595","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}
Cognitive Radio Networks (CRNs) offers an effective solution for radio spectrum scarcity problem and cyber-security to the growth of 5G technologies and the Internet of Things (IoT) devices. In this paper, the CRNs do cross-layer (X-layer) optimization by finding the parameters from the physical layer (Layer-1) of the OSI model and the network layer (Layer-3) of the OSI model so as to progress the end-to-end secure transmission of cognition for 5G and IoT traffic. The proposed model follows the invention target by applying a Deep Q-Network (DQN) to select after that hop for sending based on the waiting duration found on every router when keeping SINR lower than threshold determines by primary channel. A fully linked feed-forward Multilayer Perceptron (MLP) model is applied by secondary users (SUs) to estimate the activity value function. The activity value contains SINR to the primary user (PU) at the layer-1 and following hop to the routers for every packet at the layer-3. The advantage to the neural network (NN) is Mean Opinion Score (MOS) for secure encrypted high-resolution video traffic over 5G network which depends upon the packet drop rate and the bit error rate applied for transmission. As evaluated to the execution of DQN learning at the physical layer, this system gives for 37% gain in the video quality for routers with short queues and besides reaches a balanced load upon a network with routers with different service rates.
{"title":"The X-Layer Optimization in CRN Using Deep Q-Network for Secure High Speed Communication","authors":"Chowdhury Sajadul Islam, Md. Sarwar Hossain Mollah","doi":"10.1109/ICITEED.2019.8929997","DOIUrl":"https://doi.org/10.1109/ICITEED.2019.8929997","url":null,"abstract":"Cognitive Radio Networks (CRNs) offers an effective solution for radio spectrum scarcity problem and cyber-security to the growth of 5G technologies and the Internet of Things (IoT) devices. In this paper, the CRNs do cross-layer (X-layer) optimization by finding the parameters from the physical layer (Layer-1) of the OSI model and the network layer (Layer-3) of the OSI model so as to progress the end-to-end secure transmission of cognition for 5G and IoT traffic. The proposed model follows the invention target by applying a Deep Q-Network (DQN) to select after that hop for sending based on the waiting duration found on every router when keeping SINR lower than threshold determines by primary channel. A fully linked feed-forward Multilayer Perceptron (MLP) model is applied by secondary users (SUs) to estimate the activity value function. The activity value contains SINR to the primary user (PU) at the layer-1 and following hop to the routers for every packet at the layer-3. The advantage to the neural network (NN) is Mean Opinion Score (MOS) for secure encrypted high-resolution video traffic over 5G network which depends upon the packet drop rate and the bit error rate applied for transmission. As evaluated to the execution of DQN learning at the physical layer, this system gives for 37% gain in the video quality for routers with short queues and besides reaches a balanced load upon a network with routers with different service rates.","PeriodicalId":6598,"journal":{"name":"2019 11th International Conference on Information Technology and Electrical Engineering (ICITEE)","volume":"6 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87776375","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 : 2019-10-01DOI: 10.1109/ICITEED.2019.8929940
I. Wijayanto, Rudy Hartanto, H. A. Nugroho
Epilepsy is a neurological disorder which may occur in every human being. The existence of a seizure showed as the characteristic of this disorder. International League Against Epilepsy (ILAE) mentioned that the diagnose of epilepsy required a minimum of two seizure event in 24 hours. A standard tool used by the neurologist to diagnose epilepsy was Electroencephalogram (EEG). An automatic seizure detection in EEG signal may help them to identify the pattern of ictal condition. Since the characteristic of the EEG signal were dynamic and nonstationary, it was very challenging to interpret the signal pattern. In this study, we analyzed the use of Higuchi and Katz fractal dimension as a feature extraction method to detect an interictal and ictal state in the EEG signal. These two states were essential in the term of seizure detection and prediction system. EEG signal extracted into five frequency bands called delta, theta, alpha, beta, and gamma. Each frequency showed a different characteristic of brain-behavior in a specific condition. The extracted features then fed into a support vector machine (SVM) to classify between normal with interictal and ictal states. The proposed method able to determine normal vs. ictal state with 100% of accuracy. On the other hand, the best accuracy obtained for detecting normal vs. interictal state was 99.5%.
{"title":"Higuchi and Katz Fractal Dimension for Detecting Interictal and Ictal State in Electroencephalogram Signal","authors":"I. Wijayanto, Rudy Hartanto, H. A. Nugroho","doi":"10.1109/ICITEED.2019.8929940","DOIUrl":"https://doi.org/10.1109/ICITEED.2019.8929940","url":null,"abstract":"Epilepsy is a neurological disorder which may occur in every human being. The existence of a seizure showed as the characteristic of this disorder. International League Against Epilepsy (ILAE) mentioned that the diagnose of epilepsy required a minimum of two seizure event in 24 hours. A standard tool used by the neurologist to diagnose epilepsy was Electroencephalogram (EEG). An automatic seizure detection in EEG signal may help them to identify the pattern of ictal condition. Since the characteristic of the EEG signal were dynamic and nonstationary, it was very challenging to interpret the signal pattern. In this study, we analyzed the use of Higuchi and Katz fractal dimension as a feature extraction method to detect an interictal and ictal state in the EEG signal. These two states were essential in the term of seizure detection and prediction system. EEG signal extracted into five frequency bands called delta, theta, alpha, beta, and gamma. Each frequency showed a different characteristic of brain-behavior in a specific condition. The extracted features then fed into a support vector machine (SVM) to classify between normal with interictal and ictal states. The proposed method able to determine normal vs. ictal state with 100% of accuracy. On the other hand, the best accuracy obtained for detecting normal vs. interictal state was 99.5%.","PeriodicalId":6598,"journal":{"name":"2019 11th International Conference on Information Technology and Electrical Engineering (ICITEE)","volume":"10 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84407259","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 : 2019-10-01DOI: 10.1109/ICITEED.2019.8929981
Supphawarich Thanarattananakin, P. Padungweang, Worarat Krathu
Clustering analysis is widely applied in several domains of study. Using a suitable number of clusters is one of the most important factors to influence the performance of clustering. Several algorithms of cluster validation have been developed to find such a number. In this paper, we proposed a method for cluster validation adapted from the Discrimination Evaluation via Optic Diffraction Analysis (DEODA) algorithm to derive an appropriate number of clusters. In particular, our method uses DEODA to perform within- and between-cluster discrimination analysis in order to find the suitable number of clusters. We evaluate our method by comparing similarity score against the existing cluster validation algorithm i.e., the Silhouette index. The results show that the similarity scores derived from our method are higher than results yielded from the Silhouette index.
{"title":"A Density Discriminant Index for Cluster Validation","authors":"Supphawarich Thanarattananakin, P. Padungweang, Worarat Krathu","doi":"10.1109/ICITEED.2019.8929981","DOIUrl":"https://doi.org/10.1109/ICITEED.2019.8929981","url":null,"abstract":"Clustering analysis is widely applied in several domains of study. Using a suitable number of clusters is one of the most important factors to influence the performance of clustering. Several algorithms of cluster validation have been developed to find such a number. In this paper, we proposed a method for cluster validation adapted from the Discrimination Evaluation via Optic Diffraction Analysis (DEODA) algorithm to derive an appropriate number of clusters. In particular, our method uses DEODA to perform within- and between-cluster discrimination analysis in order to find the suitable number of clusters. We evaluate our method by comparing similarity score against the existing cluster validation algorithm i.e., the Silhouette index. The results show that the similarity scores derived from our method are higher than results yielded from the Silhouette index.","PeriodicalId":6598,"journal":{"name":"2019 11th International Conference on Information Technology and Electrical Engineering (ICITEE)","volume":"31 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84134081","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 : 2019-10-01DOI: 10.1109/ICITEED.2019.8929951
N. R. Poespawati, L. Kevin, T. Abuzairi, R. P, J. Sulistianto, Rembianov
Solar cell is a very new renewable power supply and it still in the development process. Especially with the perovskite-based solar cell (PSC) which in recent year it shows a very high potential of being very efficient power. It has not been the most efficient but the increase or its efficiency percentage is exponentially increasing. In this work, we want to find the most efficient molarity for PbC12. We were using the spin coating and annealing method to make layers of material on top of FTO glass. This method is very simple and easy to use. The PSC structure consists of 6 layers, namely FTO glass, Electron Transfer Material (ETM), Perovskite, Hole Transfer Material (HTM), carbon, and FTO glass. Perovskite on this solar cell is the active layer where this layer will generate electron and hole when it is shined by sunlight. The probability of electron-hole generation will be increased by the more particle of precursors in this active layer. The molarity of precursors of this layer affects the amount of its particle and will raise the performance of the solar cell. From the fabrication results by varying the molarity, it was found that the perovskite-based solar cell with 0.5M of PbC12 is best molarity value with much less PbC12 and MAI needed to make it which save more material, and with the highest result of the performance of the PSC, namely 0.56V Voc, 2.37mAIsc, and 0.33 fill factor.
{"title":"Effect of Perovskite Precursors Molarity on Solar Cell Performance","authors":"N. R. Poespawati, L. Kevin, T. Abuzairi, R. P, J. Sulistianto, Rembianov","doi":"10.1109/ICITEED.2019.8929951","DOIUrl":"https://doi.org/10.1109/ICITEED.2019.8929951","url":null,"abstract":"Solar cell is a very new renewable power supply and it still in the development process. Especially with the perovskite-based solar cell (PSC) which in recent year it shows a very high potential of being very efficient power. It has not been the most efficient but the increase or its efficiency percentage is exponentially increasing. In this work, we want to find the most efficient molarity for PbC12. We were using the spin coating and annealing method to make layers of material on top of FTO glass. This method is very simple and easy to use. The PSC structure consists of 6 layers, namely FTO glass, Electron Transfer Material (ETM), Perovskite, Hole Transfer Material (HTM), carbon, and FTO glass. Perovskite on this solar cell is the active layer where this layer will generate electron and hole when it is shined by sunlight. The probability of electron-hole generation will be increased by the more particle of precursors in this active layer. The molarity of precursors of this layer affects the amount of its particle and will raise the performance of the solar cell. From the fabrication results by varying the molarity, it was found that the perovskite-based solar cell with 0.5M of PbC12 is best molarity value with much less PbC12 and MAI needed to make it which save more material, and with the highest result of the performance of the PSC, namely 0.56V Voc, 2.37mAIsc, and 0.33 fill factor.","PeriodicalId":6598,"journal":{"name":"2019 11th International Conference on Information Technology and Electrical Engineering (ICITEE)","volume":"31 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81511026","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 : 2019-10-01DOI: 10.1109/ICITEED.2019.8929983
Tanatawan Kamolklang, Apiwat Junlasat, M. Uthansakul
Nowadays NB-IoT has gained lots of attention from researcher so far as its many advantages. This paper shows an increase in NB-IoT performance when employing directional antenna. The designed microstrip antenna is fabricated for testing the NB-IoT performance in real circumstances. From experiment, the signal strength when employing the proposed antenna is higher comparing to the case of omni-directional antenna.
{"title":"NB-IoT System Performance Enhancement using Directional Antenna","authors":"Tanatawan Kamolklang, Apiwat Junlasat, M. Uthansakul","doi":"10.1109/ICITEED.2019.8929983","DOIUrl":"https://doi.org/10.1109/ICITEED.2019.8929983","url":null,"abstract":"Nowadays NB-IoT has gained lots of attention from researcher so far as its many advantages. This paper shows an increase in NB-IoT performance when employing directional antenna. The designed microstrip antenna is fabricated for testing the NB-IoT performance in real circumstances. From experiment, the signal strength when employing the proposed antenna is higher comparing to the case of omni-directional antenna.","PeriodicalId":6598,"journal":{"name":"2019 11th International Conference on Information Technology and Electrical Engineering (ICITEE)","volume":"4 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80253165","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 : 2019-10-01DOI: 10.1109/ICITEED.2019.8929978
Adiluck Chooprateep, Yuthapong Somchit
This paper proposes the video path selection algorithm for traffic engineering in SDN called Video Path Selection Algorithm (VPSA). The proposed algorithm uses the past and the latest bandwidth usage data collected by the controller for calculating a suitable path. If there is no suitable path for the video request, this algorithm can choose the mode whether it will reject or accept the requests with reduced bandwidth rate. The performance of the proposed algorithm is compared with Bandwidth Guaranteed routing algorithm using Holding Times (BGHT) and Shortest-Distance Path algorithm (SDP). The evaluation results show that the proposed algorithm has the accepted number of video requests more than the other algorithms in the rejected traffic mode. Moreover, the proposed algorithm also has the amount of reduced bandwidth lower than the other algorithms in the non-rejected traffic mode.
{"title":"Video Path Selection for Traffic Engineering in SDN","authors":"Adiluck Chooprateep, Yuthapong Somchit","doi":"10.1109/ICITEED.2019.8929978","DOIUrl":"https://doi.org/10.1109/ICITEED.2019.8929978","url":null,"abstract":"This paper proposes the video path selection algorithm for traffic engineering in SDN called Video Path Selection Algorithm (VPSA). The proposed algorithm uses the past and the latest bandwidth usage data collected by the controller for calculating a suitable path. If there is no suitable path for the video request, this algorithm can choose the mode whether it will reject or accept the requests with reduced bandwidth rate. The performance of the proposed algorithm is compared with Bandwidth Guaranteed routing algorithm using Holding Times (BGHT) and Shortest-Distance Path algorithm (SDP). The evaluation results show that the proposed algorithm has the accepted number of video requests more than the other algorithms in the rejected traffic mode. Moreover, the proposed algorithm also has the amount of reduced bandwidth lower than the other algorithms in the non-rejected traffic mode.","PeriodicalId":6598,"journal":{"name":"2019 11th International Conference on Information Technology and Electrical Engineering (ICITEE)","volume":"31 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74192594","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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