Pub Date : 2021-01-01DOI: 10.21307/IJSSIS-2021-007
N. L. Nhlengethwa, P. Kumar
Abstract In this paper, the design and development of dual-band and triple-band fractal microstrip patch antennas with enhanced gain are presented. The structure is based on the Sierpinski carpet fractal, where the multiband functionality is achieved by applying the fractal iteration technique. The fractal antenna characteristics along with analysis of the reflection coefficient and the radiation patterns for each iteration are presented. The dual-band fractal microstrip patch antenna (DBFMPA) is operating at 4.9 and 5.3 GHz and the triple-band fractal microstrip patch antenna (TBFMPA) is operating at 2.4, 5.3, and 5.9 GHz. The defected ground structure (DGS) and a reflector plane is utilized for enhancing the gain of the antenna. Design and optimization of the DBFMPA and TBFMPA are done using the Computer Simulation Technology (CST) Microwave Studio Suite. The presented DBFMPA and TBFMPA are suitable for industrial, scientific, and medical (ISM) wireless applications.
{"title":"Fractal microstrip patch antennas for dual-band and triple-band wireless applications","authors":"N. L. Nhlengethwa, P. Kumar","doi":"10.21307/IJSSIS-2021-007","DOIUrl":"https://doi.org/10.21307/IJSSIS-2021-007","url":null,"abstract":"Abstract In this paper, the design and development of dual-band and triple-band fractal microstrip patch antennas with enhanced gain are presented. The structure is based on the Sierpinski carpet fractal, where the multiband functionality is achieved by applying the fractal iteration technique. The fractal antenna characteristics along with analysis of the reflection coefficient and the radiation patterns for each iteration are presented. The dual-band fractal microstrip patch antenna (DBFMPA) is operating at 4.9 and 5.3 GHz and the triple-band fractal microstrip patch antenna (TBFMPA) is operating at 2.4, 5.3, and 5.9 GHz. The defected ground structure (DGS) and a reflector plane is utilized for enhancing the gain of the antenna. Design and optimization of the DBFMPA and TBFMPA are done using the Computer Simulation Technology (CST) Microwave Studio Suite. The presented DBFMPA and TBFMPA are suitable for industrial, scientific, and medical (ISM) wireless applications.","PeriodicalId":45623,"journal":{"name":"International Journal on Smart Sensing and Intelligent Systems","volume":"14 1","pages":"1 - 9"},"PeriodicalIF":1.2,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44877055","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 : 2021-01-01DOI: 10.21307/ijssis-2021-011
Nikhlesh Pathik, Pragya Shukla
Abstract In recent years, topic modeling and deep neural network-based methods have attracted much attention in sentiment analysis of online reviews. This paper presents a hybrid topic model-based approach for aspect extraction and sentiment classification of textual reviews. Latent Dirichlet allocation applied for aspect extraction and two-layer bi-directional long short-term memory (LSTM) for sentiment classification. This work also proposes a hill climbing-based approach for tunning model hyperparameters. The proposed model evaluated on three different datasets. Compared to the single-layer Bi-LSTM model, the proposed model gives 95, 95, and 86% accuracy for the movie, mobile, and hotel domain, respectively.
{"title":"An efficient sentiment analysis using topic model based optimized recurrent neural network","authors":"Nikhlesh Pathik, Pragya Shukla","doi":"10.21307/ijssis-2021-011","DOIUrl":"https://doi.org/10.21307/ijssis-2021-011","url":null,"abstract":"Abstract In recent years, topic modeling and deep neural network-based methods have attracted much attention in sentiment analysis of online reviews. This paper presents a hybrid topic model-based approach for aspect extraction and sentiment classification of textual reviews. Latent Dirichlet allocation applied for aspect extraction and two-layer bi-directional long short-term memory (LSTM) for sentiment classification. This work also proposes a hill climbing-based approach for tunning model hyperparameters. The proposed model evaluated on three different datasets. Compared to the single-layer Bi-LSTM model, the proposed model gives 95, 95, and 86% accuracy for the movie, mobile, and hotel domain, respectively.","PeriodicalId":45623,"journal":{"name":"International Journal on Smart Sensing and Intelligent Systems","volume":"14 1","pages":"1 - 12"},"PeriodicalIF":1.2,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42740350","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 : 2021-01-01DOI: 10.21307/ijssis-2021-021
T. Bedych, A. Shayakhmetov, M. Omarov, T. I. Isintayev
Abstract In residential and industrial premises, optimum conditions for human activity must be created. In areas without central heating supply, heating of a mobile living space is provided by solid fuel boilers. There may be fuel outages at a distance from an inhabited locality. Therefore, the purpose of the study is to create a heating system for a farmer’s house by using carbon-based fuel flexible materials and solar stations. Farmhouse heating system that heats mobile living quarters remote from power lines and communities through the use of carbon-based fuel flexible materials and solar stations is proposed by the authors. The technical result consists in that, in the claimed system, the heating device is a carbon-based fuel flexible material supplying electricity from the solar station. Carbon-based fuel flexible material is a thermal film (heating grid), which is made by interweaving longitudinal and transverse carbon filaments and, for safety reasons, covered with an electrical insulating material.
{"title":"Application of an alternative energy source in the form of solar radiation and carbon-based fuel flexible material for the heating of mobile farm housing","authors":"T. Bedych, A. Shayakhmetov, M. Omarov, T. I. Isintayev","doi":"10.21307/ijssis-2021-021","DOIUrl":"https://doi.org/10.21307/ijssis-2021-021","url":null,"abstract":"Abstract In residential and industrial premises, optimum conditions for human activity must be created. In areas without central heating supply, heating of a mobile living space is provided by solid fuel boilers. There may be fuel outages at a distance from an inhabited locality. Therefore, the purpose of the study is to create a heating system for a farmer’s house by using carbon-based fuel flexible materials and solar stations. Farmhouse heating system that heats mobile living quarters remote from power lines and communities through the use of carbon-based fuel flexible materials and solar stations is proposed by the authors. The technical result consists in that, in the claimed system, the heating device is a carbon-based fuel flexible material supplying electricity from the solar station. Carbon-based fuel flexible material is a thermal film (heating grid), which is made by interweaving longitudinal and transverse carbon filaments and, for safety reasons, covered with an electrical insulating material.","PeriodicalId":45623,"journal":{"name":"International Journal on Smart Sensing and Intelligent Systems","volume":" ","pages":"1 - 11"},"PeriodicalIF":1.2,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47107775","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 : 2021-01-01DOI: 10.21307/ijssis-2021-014
Warawut Sukmak, Panjit Musik
Abstract The development of a cost-effective experiment set is essential for teaching and learning physics in educational institutes. We aim to develop a computer-based simple pendulum experiment set consisting of a simple pendulum, infrared phototransistor, and Arduino board for calculating the gravitational acceleration (g). We used 13 pendulum lengths with five angles for each length to measure the period of motion. We found linear relationships between lengths and period-squared. The g-value was 9.806 ± 0.025 (average ± standard error) m/s2. Since this experiment set is cost-effective, and more straightforward method to understand, it will benefit the physics learning in educational institutions.
{"title":"Development of a computer-based simple pendulum experiment set for teaching and learning physics","authors":"Warawut Sukmak, Panjit Musik","doi":"10.21307/ijssis-2021-014","DOIUrl":"https://doi.org/10.21307/ijssis-2021-014","url":null,"abstract":"Abstract The development of a cost-effective experiment set is essential for teaching and learning physics in educational institutes. We aim to develop a computer-based simple pendulum experiment set consisting of a simple pendulum, infrared phototransistor, and Arduino board for calculating the gravitational acceleration (g). We used 13 pendulum lengths with five angles for each length to measure the period of motion. We found linear relationships between lengths and period-squared. The g-value was 9.806 ± 0.025 (average ± standard error) m/s2. Since this experiment set is cost-effective, and more straightforward method to understand, it will benefit the physics learning in educational institutions.","PeriodicalId":45623,"journal":{"name":"International Journal on Smart Sensing and Intelligent Systems","volume":"14 1","pages":"1 - 8"},"PeriodicalIF":1.2,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47261118","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 : 2021-01-01DOI: 10.21307/ijssis-2021-013
Said Saad
Abstract Robust fiber Bragg grating (FBG) sensors network to civil engineering structures is presented as real-time monitoring deviation against seismic effects. The network is based on FBG sensors. The base element is a special type of chirped FBG that is validated. The developed network is applied in one of the two towers of concrete and extradosed type of Rades-La Goulette Bridge in Tunisia that in aggressive environment, to enhance the installed conventional structural health monitoring system (SHMS). Precisely, tilt influences of seismic parameters are calculated. Test procedure and obtained results are discussed.
{"title":"FBG sensors for seismic control and detection in extradosed bridges","authors":"Said Saad","doi":"10.21307/ijssis-2021-013","DOIUrl":"https://doi.org/10.21307/ijssis-2021-013","url":null,"abstract":"Abstract Robust fiber Bragg grating (FBG) sensors network to civil engineering structures is presented as real-time monitoring deviation against seismic effects. The network is based on FBG sensors. The base element is a special type of chirped FBG that is validated. The developed network is applied in one of the two towers of concrete and extradosed type of Rades-La Goulette Bridge in Tunisia that in aggressive environment, to enhance the installed conventional structural health monitoring system (SHMS). Precisely, tilt influences of seismic parameters are calculated. Test procedure and obtained results are discussed.","PeriodicalId":45623,"journal":{"name":"International Journal on Smart Sensing and Intelligent Systems","volume":" ","pages":"1 - 13"},"PeriodicalIF":1.2,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48137965","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 : 2021-01-01DOI: 10.21307/IJSSIS-2021-002
G. Gupta, R. V. van Zyl
Abstract LoRa technology is derived from chirp spread spectrum (CSS) having embedded forward error correction (FEC). A wide band is used for transmissions to counter interference and to handle frequency offsets. The paper investigates low power wide area networks (LPWAN) transmissions in the uplink, where the end nodes are powered by using energy harvested from the surroundings. Long-range (LoRa) networks demonstrate their capability to support Internet of Things (IoT) applications, where the end nodes utilize the harvested energy for transmission to gateways using different spreading factor (SF) codes. The work fairly improves the throughput of the LoRa nodes while keeping the other parameters, like time duration of the energy harvesting (EH), SF, and transmit power, optimally. Initially, a mathematical expression is derived for collisions between packets of the end nodes; keeping this as an important factor, an algorithm is proposed that fairly assigns SFs to the nodes. Simulation results confirm the improvement in packet error rate and time on air when fewer LoRa nodes are used for lower SFs, as compared to higher SFs. The number of LoRa nodes that can communicate using SF = 7 is almost four times as compared to using SF = 11, while maintaining a low packet error rate. Also, for SF = 7, changing the coding rate from 1 to 4 increases time on air by around 20 ms, while time on air increases by 1,200 ms for SF = 12. The energy efficiency is also compared for different SFs and different transmission powers. A lower SF and lower transmission powers are more suitable for smaller distance and provides better energy efficiency.
{"title":"Energy harvested end nodes and performance improvement of LoRa networks","authors":"G. Gupta, R. V. van Zyl","doi":"10.21307/IJSSIS-2021-002","DOIUrl":"https://doi.org/10.21307/IJSSIS-2021-002","url":null,"abstract":"Abstract LoRa technology is derived from chirp spread spectrum (CSS) having embedded forward error correction (FEC). A wide band is used for transmissions to counter interference and to handle frequency offsets. The paper investigates low power wide area networks (LPWAN) transmissions in the uplink, where the end nodes are powered by using energy harvested from the surroundings. Long-range (LoRa) networks demonstrate their capability to support Internet of Things (IoT) applications, where the end nodes utilize the harvested energy for transmission to gateways using different spreading factor (SF) codes. The work fairly improves the throughput of the LoRa nodes while keeping the other parameters, like time duration of the energy harvesting (EH), SF, and transmit power, optimally. Initially, a mathematical expression is derived for collisions between packets of the end nodes; keeping this as an important factor, an algorithm is proposed that fairly assigns SFs to the nodes. Simulation results confirm the improvement in packet error rate and time on air when fewer LoRa nodes are used for lower SFs, as compared to higher SFs. The number of LoRa nodes that can communicate using SF = 7 is almost four times as compared to using SF = 11, while maintaining a low packet error rate. Also, for SF = 7, changing the coding rate from 1 to 4 increases time on air by around 20 ms, while time on air increases by 1,200 ms for SF = 12. The energy efficiency is also compared for different SFs and different transmission powers. A lower SF and lower transmission powers are more suitable for smaller distance and provides better energy efficiency.","PeriodicalId":45623,"journal":{"name":"International Journal on Smart Sensing and Intelligent Systems","volume":"14 1","pages":"1 - 15"},"PeriodicalIF":1.2,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"68001945","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 : 2021-01-01DOI: 10.21307/ijssis-2021-012
S. M. Hussain, K. M. Yusof, Shaik Ashfaq Hussain, Rolito Asuncion
Abstract Internet of Vehicles (IoV) is developed by integrating the intelligent transportation system (ITS) and the Internet of Things (IoT). The goal of IoV is to allow vehicles to communicate with other vehicles, humans, pedestrians, roadside units, and other infrastructures. Two potential technologies of V2X communication are dedicated short-range communication (DSRC) and cellular network technologies. Each of these has its benefits and limitations. DSRC has low latency but it limits coverage area and lacks spectrum availability. Whereas 4G LTE offers high bandwidth, wider cell coverage range, but the drawback is its high transmission time intervals. 5G offers enormous benefits to the present wireless communication technology by providing higher data rates and very low latencies for transmissions but is prone to blockages because of its inability to penetrate through the objects. Hence, considering the above issues, single technology will not fully accommodate the V2X requirements which subsequently jeopardize the effectiveness of safety applications. Therefore, for efficient V2X communication, it is required to interwork with DSRC and cellular network technologies. One open research challenge that has gained the attention of the research community over the past few years is the appropriate selection of networks for handover in a heterogeneous IoV environment. Existing solutions have addressed the issues related to handover and network selection but they have failed to address the need for handover while selecting the network. Previous studies have only mentioned that the network is being selected directly for handover or it was connected to the available radio access. Due to this, the occurrence of handover had to take place frequently. Hence, in this research, the integration of DSRC, LTE, and mmWave 5G is incorporated with handover decision, network selection, and routing algorithms. The handover decision is to ensure whether there is a need for vertical handover by using a dynamic Q-learning algorithm. Then, the network selection is based on a fuzzy-convolution neural network that creates fuzzy rules from signal strength, distance, vehicle density, data type, and line of sight. V2V chain routing is proposed to select V2V pairs using a jellyfish optimization algorithm that takes into account the channel, vehicle characteristics, and transmission metrics. This system is developed in an OMNeT++ simulator and the performances are evaluated in terms of mean handover, handover failure, mean throughput, delay, and packet loss.
车联网(Internet of vehicle, IoV)是智能交通系统(ITS)与物联网(IoT)相结合的产物。物联网的目标是使车辆能够与其他车辆、人类、行人、路边单位和其他基础设施进行通信。V2X通信的两种潜在技术是专用短距离通信(DSRC)和蜂窝网络技术。每种方法都有其优点和局限性。DSRC具有低延迟，但它限制了覆盖范围，并且缺乏频谱可用性。而4G LTE提供高带宽、更宽的小区覆盖范围，但缺点是传输时间间隔高。5G提供更高的数据速率和极低的传输延迟，为目前的无线通信技术带来了巨大的好处，但由于无法穿透物体，因此容易出现阻塞。因此，考虑到上述问题，单一技术将无法完全适应V2X的要求，从而危及安全应用的有效性。因此，为了实现高效的V2X通信，需要与DSRC和蜂窝网络技术相结合。在过去的几年里，一个公开的研究挑战已经引起了研究界的关注，那就是在异构的车联网环境中选择合适的网络进行切换。现有的解决方案已经解决了与切换和网络选择相关的问题，但未能解决在选择网络时需要切换的问题。以前的研究只提到网络被直接选择进行切换，或者它被连接到可用的无线接入。因此，交接的发生不得不频繁。因此，在本研究中，DSRC、LTE和毫米波5G的集成与切换决策、网络选择和路由算法相结合。切换决策是通过动态q学习算法来确定是否需要进行垂直切换。然后，网络选择基于模糊卷积神经网络，该网络根据信号强度、距离、车辆密度、数据类型和视线创建模糊规则。V2V链路由采用海蜇优化算法选择V2V对，该算法综合考虑了信道、车辆特性和传输指标。该系统在omnet++模拟器上开发，并从平均切换、切换失败、平均吞吐量、延迟和丢包等方面对系统性能进行了评估。
{"title":"Performance evaluation of vertical handover in Internet of Vehicles","authors":"S. M. Hussain, K. M. Yusof, Shaik Ashfaq Hussain, Rolito Asuncion","doi":"10.21307/ijssis-2021-012","DOIUrl":"https://doi.org/10.21307/ijssis-2021-012","url":null,"abstract":"Abstract Internet of Vehicles (IoV) is developed by integrating the intelligent transportation system (ITS) and the Internet of Things (IoT). The goal of IoV is to allow vehicles to communicate with other vehicles, humans, pedestrians, roadside units, and other infrastructures. Two potential technologies of V2X communication are dedicated short-range communication (DSRC) and cellular network technologies. Each of these has its benefits and limitations. DSRC has low latency but it limits coverage area and lacks spectrum availability. Whereas 4G LTE offers high bandwidth, wider cell coverage range, but the drawback is its high transmission time intervals. 5G offers enormous benefits to the present wireless communication technology by providing higher data rates and very low latencies for transmissions but is prone to blockages because of its inability to penetrate through the objects. Hence, considering the above issues, single technology will not fully accommodate the V2X requirements which subsequently jeopardize the effectiveness of safety applications. Therefore, for efficient V2X communication, it is required to interwork with DSRC and cellular network technologies. One open research challenge that has gained the attention of the research community over the past few years is the appropriate selection of networks for handover in a heterogeneous IoV environment. Existing solutions have addressed the issues related to handover and network selection but they have failed to address the need for handover while selecting the network. Previous studies have only mentioned that the network is being selected directly for handover or it was connected to the available radio access. Due to this, the occurrence of handover had to take place frequently. Hence, in this research, the integration of DSRC, LTE, and mmWave 5G is incorporated with handover decision, network selection, and routing algorithms. The handover decision is to ensure whether there is a need for vertical handover by using a dynamic Q-learning algorithm. Then, the network selection is based on a fuzzy-convolution neural network that creates fuzzy rules from signal strength, distance, vehicle density, data type, and line of sight. V2V chain routing is proposed to select V2V pairs using a jellyfish optimization algorithm that takes into account the channel, vehicle characteristics, and transmission metrics. This system is developed in an OMNeT++ simulator and the performances are evaluated in terms of mean handover, handover failure, mean throughput, delay, and packet loss.","PeriodicalId":45623,"journal":{"name":"International Journal on Smart Sensing and Intelligent Systems","volume":"14 1","pages":"1 - 16"},"PeriodicalIF":1.2,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"68002045","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 : 2021-01-01DOI: 10.21307/ijssis-2021-019
El Idrissi Nezha, Najid Abdellah, El Alami Hassan
Abstract Clustering is an efficient technique to organize network resources efficiently and, in wireless sensor Networks (WSNs) communications it is used to group sensors with similar characteristics managed by a selected sensor called a Cluster Head (CH). Thus, this paper presents a new approach, namely Energy-Aware Clustering and Efficient Cluster Head Selection (EAC-ECHS) to optimize the performances of WSNs in terms of the network lifetime and enhance energy consumption. In EAC-ECHS, the sensor network is divided into an inter grid and fair clustered Grids. Furthermore, for each clustered Grid, the CH selection is based on the residual energy of sensor, distance to neighbors, and distance to the base station. Simulation experiments have been conducted to examine the performance of EAC-ECHS and previous approaches, and the results demonstrate that EAC-ECHS approach achieves the design objectives in terms energy consumption, network lifetime, and packet delivery ratio.
{"title":"Energy-Aware Clustering and Efficient Cluster Head Selection","authors":"El Idrissi Nezha, Najid Abdellah, El Alami Hassan","doi":"10.21307/ijssis-2021-019","DOIUrl":"https://doi.org/10.21307/ijssis-2021-019","url":null,"abstract":"Abstract Clustering is an efficient technique to organize network resources efficiently and, in wireless sensor Networks (WSNs) communications it is used to group sensors with similar characteristics managed by a selected sensor called a Cluster Head (CH). Thus, this paper presents a new approach, namely Energy-Aware Clustering and Efficient Cluster Head Selection (EAC-ECHS) to optimize the performances of WSNs in terms of the network lifetime and enhance energy consumption. In EAC-ECHS, the sensor network is divided into an inter grid and fair clustered Grids. Furthermore, for each clustered Grid, the CH selection is based on the residual energy of sensor, distance to neighbors, and distance to the base station. Simulation experiments have been conducted to examine the performance of EAC-ECHS and previous approaches, and the results demonstrate that EAC-ECHS approach achieves the design objectives in terms energy consumption, network lifetime, and packet delivery ratio.","PeriodicalId":45623,"journal":{"name":"International Journal on Smart Sensing and Intelligent Systems","volume":"14 1","pages":"1 - 15"},"PeriodicalIF":1.2,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45266202","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 : 2021-01-01DOI: 10.21307/ijssis-2021-016
M. H. Husin, M. Rahmat, N. A. Wahab, M. Sabri
Abstract Aeration control is a way to have a wastewater treatment plant (WWTP) that uses less energy and produces higher effluent quality to meet state and federal regulations. The goal of this research is to develop a neural network (NN) ammonia-based aeration control (ABAC) that focuses on reducing total nitrogen and ammonia concentration violations by regulating dissolved oxygen (DO) concentration based on the ammonia concentration in the final tank, rather than maintaining the DO concentration at a set elevated value, as most studies do. Simulation platform used in this study is Benchmark Simulation Model No. 1, and the NN ABAC is compared to the Proportional-Integral (PI) ABAC and PI controller. In comparison to the PI controller, the simulation results showed that the proposed controller has a significant improvement in reducing the AECI up to 23.86%, improving the EQCI up to 1.94%, and reducing the overall OCI up to 4.61%. The results of the study show that the NN ABAC can be utilized to improve the performance of a WWTP’s activated sludge system.
{"title":"Improving total nitrogen removal using a neural network ammonia-based aeration control in activated sludge process","authors":"M. H. Husin, M. Rahmat, N. A. Wahab, M. Sabri","doi":"10.21307/ijssis-2021-016","DOIUrl":"https://doi.org/10.21307/ijssis-2021-016","url":null,"abstract":"Abstract Aeration control is a way to have a wastewater treatment plant (WWTP) that uses less energy and produces higher effluent quality to meet state and federal regulations. The goal of this research is to develop a neural network (NN) ammonia-based aeration control (ABAC) that focuses on reducing total nitrogen and ammonia concentration violations by regulating dissolved oxygen (DO) concentration based on the ammonia concentration in the final tank, rather than maintaining the DO concentration at a set elevated value, as most studies do. Simulation platform used in this study is Benchmark Simulation Model No. 1, and the NN ABAC is compared to the Proportional-Integral (PI) ABAC and PI controller. In comparison to the PI controller, the simulation results showed that the proposed controller has a significant improvement in reducing the AECI up to 23.86%, improving the EQCI up to 1.94%, and reducing the overall OCI up to 4.61%. The results of the study show that the NN ABAC can be utilized to improve the performance of a WWTP’s activated sludge system.","PeriodicalId":45623,"journal":{"name":"International Journal on Smart Sensing and Intelligent Systems","volume":" ","pages":"1 - 16"},"PeriodicalIF":1.2,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44289424","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 : 2021-01-01DOI: 10.21307/ijssis-2021-015
Theerat Saichoo, P. Boonbrahm, Yunyong Punsawad
Abstract Many people suffer from movement disabilities and would benefit from an assistive mobility device with practical control. This paper demonstrates a face-machine interface system that uses motion artifacts from electroencephalogram (EEG) signals for mobility enhancement in people with quadriplegia. We employed an Emotiv EPOC X neuroheadset to acquire EEG signals. With the proposed system, we verified the preprocessing approach, feature extraction algorithms, and control modalities. Incorporating eye winks and jaw movements, an average accuracy of 96.9% across four commands was achieved. Moreover, the online control results of a simulated power wheelchair showed high efficiency based on the time condition. The combination of winking and jaw chewing results in a steering time on the same order of magnitude as that of joystick-based control, but still about twice as long. We will further improve the efficiency and implement the proposed face-machine interface system for a real-power wheelchair.
{"title":"A face-machine interface utilizing EEG artifacts from a neuroheadset for simulated wheelchair control","authors":"Theerat Saichoo, P. Boonbrahm, Yunyong Punsawad","doi":"10.21307/ijssis-2021-015","DOIUrl":"https://doi.org/10.21307/ijssis-2021-015","url":null,"abstract":"Abstract Many people suffer from movement disabilities and would benefit from an assistive mobility device with practical control. This paper demonstrates a face-machine interface system that uses motion artifacts from electroencephalogram (EEG) signals for mobility enhancement in people with quadriplegia. We employed an Emotiv EPOC X neuroheadset to acquire EEG signals. With the proposed system, we verified the preprocessing approach, feature extraction algorithms, and control modalities. Incorporating eye winks and jaw movements, an average accuracy of 96.9% across four commands was achieved. Moreover, the online control results of a simulated power wheelchair showed high efficiency based on the time condition. The combination of winking and jaw chewing results in a steering time on the same order of magnitude as that of joystick-based control, but still about twice as long. We will further improve the efficiency and implement the proposed face-machine interface system for a real-power wheelchair.","PeriodicalId":45623,"journal":{"name":"International Journal on Smart Sensing and Intelligent Systems","volume":"14 1","pages":"1 - 10"},"PeriodicalIF":1.2,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47095525","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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