Pub Date : 2018-06-01DOI: 10.1109/ICSSE.2018.8520136
Ping‐Jui Hsieh, Guan-Yan Chen, I-Chieh Chiang, J. Perng
In recent years, brand new vehicles equipped with muti-driving assist systems have been more and more popular. As a result, we propose a path planning design for muti-vehicle driving assist systems that enable vehicle adjust speed and traveling direction according to different road sections by itself. The overall system can be divided into two layers, one is decision layer and the other is control layer. In decision layer, reference route which built by high accuracy real time kinematic differential positioning system is necessary. Then, reference route would be separated into bending and straight sections. After that, desired speed and steering angle can be obtained by kinematics equations and position node of reference route. In control layer, actuators, such as throttle, braking paddle, and steering wheel, are driven by fuzzy logic controller to reach desired speed and steering angle from decision layer. The overall system is implemented on an electric golf car which as a testing platform. The experimental results show that the proposed system integrates kinematic and human experience to fulfill above functions.
{"title":"Path Planning Design for Vehicle Driving Assist Systems","authors":"Ping‐Jui Hsieh, Guan-Yan Chen, I-Chieh Chiang, J. Perng","doi":"10.1109/ICSSE.2018.8520136","DOIUrl":"https://doi.org/10.1109/ICSSE.2018.8520136","url":null,"abstract":"In recent years, brand new vehicles equipped with muti-driving assist systems have been more and more popular. As a result, we propose a path planning design for muti-vehicle driving assist systems that enable vehicle adjust speed and traveling direction according to different road sections by itself. The overall system can be divided into two layers, one is decision layer and the other is control layer. In decision layer, reference route which built by high accuracy real time kinematic differential positioning system is necessary. Then, reference route would be separated into bending and straight sections. After that, desired speed and steering angle can be obtained by kinematics equations and position node of reference route. In control layer, actuators, such as throttle, braking paddle, and steering wheel, are driven by fuzzy logic controller to reach desired speed and steering angle from decision layer. The overall system is implemented on an electric golf car which as a testing platform. The experimental results show that the proposed system integrates kinematic and human experience to fulfill above functions.","PeriodicalId":431387,"journal":{"name":"2018 International Conference on System Science and Engineering (ICSSE)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121505579","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 : 2018-06-01DOI: 10.1109/ICSSE.2018.8520243
C. Hsieh
It is well known that, for model-free unknown input filtering (MUIF) the unknown inputs are generally reconstructed with a multi-step delay, which may yield multi-step delayed state and unknown input estimates. This certainly is unpractical for real-time state estimation problems. To solve this problem, the paper first proposes a distributed multi-step-delay state and input estimator (DMSDSIE) for a specific topology of network. Then, a real-time state estimator design of a certain MUIF application based on the DMSDSIE is developed. This research highlights a possibility to apply distributed filtering through a network to alleviate the time-delay estimation problem of a general simultaneous input and state estimation problem.
{"title":"Distributed Unknown Input Filtering for Systems with Unknown Inputs","authors":"C. Hsieh","doi":"10.1109/ICSSE.2018.8520243","DOIUrl":"https://doi.org/10.1109/ICSSE.2018.8520243","url":null,"abstract":"It is well known that, for model-free unknown input filtering (MUIF) the unknown inputs are generally reconstructed with a multi-step delay, which may yield multi-step delayed state and unknown input estimates. This certainly is unpractical for real-time state estimation problems. To solve this problem, the paper first proposes a distributed multi-step-delay state and input estimator (DMSDSIE) for a specific topology of network. Then, a real-time state estimator design of a certain MUIF application based on the DMSDSIE is developed. This research highlights a possibility to apply distributed filtering through a network to alleviate the time-delay estimation problem of a general simultaneous input and state estimation problem.","PeriodicalId":431387,"journal":{"name":"2018 International Conference on System Science and Engineering (ICSSE)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127437893","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 : 2018-06-01DOI: 10.1109/ICSSE.2018.8520162
Le Viet Anh, Lê Xuân Hải, Vu Duc Thuan, Pham Van Trieu, L. Tuan, Hoang Manh Cuong
This paper proposes an adaptive control system for uncertain overhead cranes on the basis of hierarchical sliding mode approach combined with radial basis function (RBF) neural network. A sliding surface is defined by linearly combining two sub-manifolds. A RBF neural network is adopted to approximate the unknown dynamic model. The control law is designed to ensure the stability of sliding surfaces while an adaptation mechanism for updating weight matrices of neural network is derived from a candidate of Lyapunov function. Simulation results show the effectiveness of the proposed control scheme.
{"title":"Designing an Adaptive Controller for 3D Overhead Cranes Using Hierarchical Sliding Mode and Neural Network","authors":"Le Viet Anh, Lê Xuân Hải, Vu Duc Thuan, Pham Van Trieu, L. Tuan, Hoang Manh Cuong","doi":"10.1109/ICSSE.2018.8520162","DOIUrl":"https://doi.org/10.1109/ICSSE.2018.8520162","url":null,"abstract":"This paper proposes an adaptive control system for uncertain overhead cranes on the basis of hierarchical sliding mode approach combined with radial basis function (RBF) neural network. A sliding surface is defined by linearly combining two sub-manifolds. A RBF neural network is adopted to approximate the unknown dynamic model. The control law is designed to ensure the stability of sliding surfaces while an adaptation mechanism for updating weight matrices of neural network is derived from a candidate of Lyapunov function. Simulation results show the effectiveness of the proposed control scheme.","PeriodicalId":431387,"journal":{"name":"2018 International Conference on System Science and Engineering (ICSSE)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116699591","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 : 2018-06-01DOI: 10.1109/ICSSE.2018.8520249
Yu-Kun Lin, Bing-Fei Wu, Chia-Meng Chen
The properties of grinding wheel condition for the hard and brittle material thinning equipment (Vertical Wheel Grinder) can be estimated based on the analysis of acoustic emission (AE) signals during grinding process. In this paper, a study on the frequency content of the raw AE signals is carried out to determine the features of frequency bands from three grinding wheels with different grades. The signal characteristics of the surface condition change affected by different wheel grades are obtained from the root mean square (RMS) and ratio of power (ROP) statistics at frequency bands selected from AE spectra. The analyze results indicate that the proposed methodology can distinguish different grades of grinding wheel condition from each raw AE signals segment using the ROP statistics. Thus, based on AE spectra analysis, the raw AE signals contain most of grinding information at the frequency bands of 600~900 kHz. Discrete wavelet transform and RMS statistics are able to describe the change of grinding-wheel-surface condition during grinding process. The findings of this paper proves that this research can be applied to the intelligent grinding monitoring systems in the future [1].
{"title":"Characterization of Grinding Wheel Condition by Acoustic Emission Signals","authors":"Yu-Kun Lin, Bing-Fei Wu, Chia-Meng Chen","doi":"10.1109/ICSSE.2018.8520249","DOIUrl":"https://doi.org/10.1109/ICSSE.2018.8520249","url":null,"abstract":"The properties of grinding wheel condition for the hard and brittle material thinning equipment (Vertical Wheel Grinder) can be estimated based on the analysis of acoustic emission (AE) signals during grinding process. In this paper, a study on the frequency content of the raw AE signals is carried out to determine the features of frequency bands from three grinding wheels with different grades. The signal characteristics of the surface condition change affected by different wheel grades are obtained from the root mean square (RMS) and ratio of power (ROP) statistics at frequency bands selected from AE spectra. The analyze results indicate that the proposed methodology can distinguish different grades of grinding wheel condition from each raw AE signals segment using the ROP statistics. Thus, based on AE spectra analysis, the raw AE signals contain most of grinding information at the frequency bands of 600~900 kHz. Discrete wavelet transform and RMS statistics are able to describe the change of grinding-wheel-surface condition during grinding process. The findings of this paper proves that this research can be applied to the intelligent grinding monitoring systems in the future [1].","PeriodicalId":431387,"journal":{"name":"2018 International Conference on System Science and Engineering (ICSSE)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116831463","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 : 2018-06-01DOI: 10.1109/ICSSE.2018.8520000
C. Kung, Si-Xun Luo, Sung-Hsun Liu
This study considers the use of Arduino to achieve state of charge (SOC) estimation of lithium-ion batteries by adaptive extended Kalman filter (AEKF). To implement a SOC estimator for the lithium-ion battery, we adopt a first-order RC equivalent circuit as the equivalent circuit model (ECM) of the battery. The parameters of the ECM will be identified through the designed experiments, and they will be approximated by the piecewise linear functions and then will be built into Arduino. The AEKF algorithm will also be programed into Arduino to estimate the SOC. To verify the accuracy of the SOC estimation, some lithium-ion batteries are tested at room temperature. Experimental results show that the absolute value of the steady-state SOC estimation error is small.
{"title":"Implementation of the State of Charge Estimation with Adaptive Extended Kalman Filter for Lithium-Ion Batteries by Arduino","authors":"C. Kung, Si-Xun Luo, Sung-Hsun Liu","doi":"10.1109/ICSSE.2018.8520000","DOIUrl":"https://doi.org/10.1109/ICSSE.2018.8520000","url":null,"abstract":"This study considers the use of Arduino to achieve state of charge (SOC) estimation of lithium-ion batteries by adaptive extended Kalman filter (AEKF). To implement a SOC estimator for the lithium-ion battery, we adopt a first-order RC equivalent circuit as the equivalent circuit model (ECM) of the battery. The parameters of the ECM will be identified through the designed experiments, and they will be approximated by the piecewise linear functions and then will be built into Arduino. The AEKF algorithm will also be programed into Arduino to estimate the SOC. To verify the accuracy of the SOC estimation, some lithium-ion batteries are tested at room temperature. Experimental results show that the absolute value of the steady-state SOC estimation error is small.","PeriodicalId":431387,"journal":{"name":"2018 International Conference on System Science and Engineering (ICSSE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131070823","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 : 2018-06-01DOI: 10.1109/ICSSE.2018.8520188
Cui Yu, Avi Ginsberg
Social media is a De Facto standard in online communication. When users interact with others on a large scale, privacy plays an increasingly important part in maintaining safety and user confidence in a social media platform. Allowing end-users to control their interactions and data with others is a way to inspire end-user confidence. Many control schemes exist; however, they are flawed on two key points. These systems are somewhat confusing to the end users in that the users may not understand exactly what information is being shared with others and that the control schemes are hidden and abstract. In this project, we propose an idea with a prototype, named Solendar, that attempts to solve the issue with a special authorization approach. It has a pass system which allows end-users to explicitly specify which users are able to see and interact with their information on individual level. It has a group system that builds on the pass system, allowing end-users to organize other users into logical segments for effective information sharing while retaining the control of privacy.
{"title":"Social Networking Without Sacrificing Privacy","authors":"Cui Yu, Avi Ginsberg","doi":"10.1109/ICSSE.2018.8520188","DOIUrl":"https://doi.org/10.1109/ICSSE.2018.8520188","url":null,"abstract":"Social media is a De Facto standard in online communication. When users interact with others on a large scale, privacy plays an increasingly important part in maintaining safety and user confidence in a social media platform. Allowing end-users to control their interactions and data with others is a way to inspire end-user confidence. Many control schemes exist; however, they are flawed on two key points. These systems are somewhat confusing to the end users in that the users may not understand exactly what information is being shared with others and that the control schemes are hidden and abstract. In this project, we propose an idea with a prototype, named Solendar, that attempts to solve the issue with a special authorization approach. It has a pass system which allows end-users to explicitly specify which users are able to see and interact with their information on individual level. It has a group system that builds on the pass system, allowing end-users to organize other users into logical segments for effective information sharing while retaining the control of privacy.","PeriodicalId":431387,"journal":{"name":"2018 International Conference on System Science and Engineering (ICSSE)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121363171","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 : 2018-06-01DOI: 10.1109/ICSSE.2018.8520030
Po-Yu Yang, Tzu-Hsuan Chang, Y. Chang, Bing-Fei Wu
Although mobile robots have achieved great success in indoor navigation, they are still facing problems like operating through multi-floor hotel buildings. In this paper, a low-cost and lightweight mobile robot is proposed for hotel room service. For delivering any item that customers need, the robot should be able to manipulate elevators in an unmanned hotels. So, it is separated into three parts: elevator button detection, coordinate transform and fuzzy logical control to manipulate the robotic arm. To recognize and detect a variety of elevator panels and buttons, a large number of the images are collected and labeled manually by ourselves. With state-of-the-art deep learning framework, our model has achieved 95.172 mean average precision (mAP) even in elevators that are not included in training data. After properly detecting the elevator buttons, the 3D position corresponding to each elevator button is transformed by the fusion of two sensors which are a mono-camera and a Lidar. This paper presents a coordinates transform neural network to estimate real world position, and our method achieves in an average distance error of 1.356 mm. The fuzzy logical controllers are designed for manipulating the robotic arm fast and smoothly.
{"title":"Intelligent Mobile Robot Controller Design for Hotel Room Service with Deep Learning Arm-Based Elevator Manipulator","authors":"Po-Yu Yang, Tzu-Hsuan Chang, Y. Chang, Bing-Fei Wu","doi":"10.1109/ICSSE.2018.8520030","DOIUrl":"https://doi.org/10.1109/ICSSE.2018.8520030","url":null,"abstract":"Although mobile robots have achieved great success in indoor navigation, they are still facing problems like operating through multi-floor hotel buildings. In this paper, a low-cost and lightweight mobile robot is proposed for hotel room service. For delivering any item that customers need, the robot should be able to manipulate elevators in an unmanned hotels. So, it is separated into three parts: elevator button detection, coordinate transform and fuzzy logical control to manipulate the robotic arm. To recognize and detect a variety of elevator panels and buttons, a large number of the images are collected and labeled manually by ourselves. With state-of-the-art deep learning framework, our model has achieved 95.172 mean average precision (mAP) even in elevators that are not included in training data. After properly detecting the elevator buttons, the 3D position corresponding to each elevator button is transformed by the fusion of two sensors which are a mono-camera and a Lidar. This paper presents a coordinates transform neural network to estimate real world position, and our method achieves in an average distance error of 1.356 mm. The fuzzy logical controllers are designed for manipulating the robotic arm fast and smoothly.","PeriodicalId":431387,"journal":{"name":"2018 International Conference on System Science and Engineering (ICSSE)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115507922","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 : 2018-06-01DOI: 10.1109/ICSSE.2018.8520261
Teerawat Polsawat, N. Arch-int, S. Arch-int, Apisak Pattanachak
Today, data in a vast number of social networks are abundantly utilized to help consumers make decisions in selecting products. While companies endeavor to analyze and interpret the multitude of customer opinions and sentiments, an accurate assessment becomes problematic. Many research studies encounter semantic conflicts of words or synonymous words, and errors occur within the SentiWordNet algorithm, when assessing both positive and negative words in some sentences. The present study, therefore, aims to solve the above-mentioned problems through DBpedia, and addresses the differences in word meanings, and to create a user interface for retrieving products in the form of keywords, in order to help consumers make decisions in selecting products. The efficiency measurement of sentiment analysis within the present study was 94%.
{"title":"Sentiment Analysis Process for Product's Customer Reviews Using Ontology-Based Approach","authors":"Teerawat Polsawat, N. Arch-int, S. Arch-int, Apisak Pattanachak","doi":"10.1109/ICSSE.2018.8520261","DOIUrl":"https://doi.org/10.1109/ICSSE.2018.8520261","url":null,"abstract":"Today, data in a vast number of social networks are abundantly utilized to help consumers make decisions in selecting products. While companies endeavor to analyze and interpret the multitude of customer opinions and sentiments, an accurate assessment becomes problematic. Many research studies encounter semantic conflicts of words or synonymous words, and errors occur within the SentiWordNet algorithm, when assessing both positive and negative words in some sentences. The present study, therefore, aims to solve the above-mentioned problems through DBpedia, and addresses the differences in word meanings, and to create a user interface for retrieving products in the form of keywords, in order to help consumers make decisions in selecting products. The efficiency measurement of sentiment analysis within the present study was 94%.","PeriodicalId":431387,"journal":{"name":"2018 International Conference on System Science and Engineering (ICSSE)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131739495","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 : 2018-06-01DOI: 10.1109/ICSSE.2018.8520200
Rathachai Chawuthai
Household drugs or home medicines are normally nonprescription drugs that every family should prepare for relieving sickness. However, as our survey, many small households having 1–3 members in apartments or dormitories do not have a well preparation of necessary household drugs, and the worse is that some drugs have been expired. To this end, this work proposes an approach to the development of a nonprescription-drug vending machine in a residential building for serving home medicine to all residents in the building. We also introduce a smart way to order and get drugs using the inter operability of an application, a vending machine, and a server. The implemented prototype demonstrates that our approach is possible and feasible to serve a better service for accessing home medicines.
{"title":"MeddyCall: A Prototype of Smart Household-Drug Vending Machines for Residential Buildings","authors":"Rathachai Chawuthai","doi":"10.1109/ICSSE.2018.8520200","DOIUrl":"https://doi.org/10.1109/ICSSE.2018.8520200","url":null,"abstract":"Household drugs or home medicines are normally nonprescription drugs that every family should prepare for relieving sickness. However, as our survey, many small households having 1–3 members in apartments or dormitories do not have a well preparation of necessary household drugs, and the worse is that some drugs have been expired. To this end, this work proposes an approach to the development of a nonprescription-drug vending machine in a residential building for serving home medicine to all residents in the building. We also introduce a smart way to order and get drugs using the inter operability of an application, a vending machine, and a server. The implemented prototype demonstrates that our approach is possible and feasible to serve a better service for accessing home medicines.","PeriodicalId":431387,"journal":{"name":"2018 International Conference on System Science and Engineering (ICSSE)","volume":"172 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132044426","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 : 2018-06-01DOI: 10.1109/ICSSE.2018.8520063
M. Shidujaman, H. Samani, M. Raayatpanah, Haipeng Mi, C. Premachandra
The purpose of this paper is to illustrate the development process of a Wireless Charging Robot (WCR) according to scenario-based design approach. In the previous work, we have introduced the prototype design and its working functionality as a combination of state of the art in the field of wireless power transmission and mobile robotics. The prototype has designed and examined for various usage scenarios. This work is within our research on WCR where we are attempting to develop an advanced WCR design, considering the example of various practical scenarios for the smart environment. A mobile robot is equipped with a wireless charger and navigates in the environment of various battery nodes in order to charge the network in an efficient way. Hence, we present a mathematical model to find the shortest route for WCR. Furthermore, we also address the cultural influence and reactions of wireless charging robot with a survey result based on country sociological impact.
{"title":"Towards Deploying the Wireless Charging Robots in Smart Environments","authors":"M. Shidujaman, H. Samani, M. Raayatpanah, Haipeng Mi, C. Premachandra","doi":"10.1109/ICSSE.2018.8520063","DOIUrl":"https://doi.org/10.1109/ICSSE.2018.8520063","url":null,"abstract":"The purpose of this paper is to illustrate the development process of a Wireless Charging Robot (WCR) according to scenario-based design approach. In the previous work, we have introduced the prototype design and its working functionality as a combination of state of the art in the field of wireless power transmission and mobile robotics. The prototype has designed and examined for various usage scenarios. This work is within our research on WCR where we are attempting to develop an advanced WCR design, considering the example of various practical scenarios for the smart environment. A mobile robot is equipped with a wireless charger and navigates in the environment of various battery nodes in order to charge the network in an efficient way. Hence, we present a mathematical model to find the shortest route for WCR. Furthermore, we also address the cultural influence and reactions of wireless charging robot with a survey result based on country sociological impact.","PeriodicalId":431387,"journal":{"name":"2018 International Conference on System Science and Engineering (ICSSE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132100251","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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