2023 International Conference on Robotics and Automation in Industry (ICRAI)最新文献

{"title":"Dense Vehicular Ad hoc Network UAV Assisted Cooperative Routing Scheme","authors":"Sadia Ayub, Adnan Shujah, Sheikh Muhammad Muneeb Hamid Rasheed, T. Zafar, Arsal Bilal","doi":"10.1109/ICRAI57502.2023.10089603","DOIUrl":"https://doi.org/10.1109/ICRAI57502.2023.10089603","url":null,"abstract":"Intelligent transportation system (ITS) has to keep its services stable and active. Vehicular Ad hoc networks (VANETs) play a crucial part and provide a highly dynamic environment, where uninterrupted information propagation with compact nodes to their purported target is a key strategy. Currently, the data propagation techniques use devices based on single radio to mitigate network performance degradation. However, due to incomplete utilization of the spectrum, they end up with decreased throughput and increased end-to-end (ETE) delay. To ensure efficient use of the spectrum, methods that seek support from other channels have been proposed and are known as multi-channel dual radio-based. However, the performance of the network is degraded because of the same band cross-channel interference. That's why, a cooperative routing scheme assisted by UAV (UCRS) is devised, and here VANET is assisted by a Flying ad hoc network (FANET). UCRS allows intermediate vehicles to choose the most suitable node as the next hop using a composite routing metric. In UCRS each node creates a table called an Allied Node Table (ANT) comprising the vehicles in the ahead zone. Among several nodes available in ANT, the best node is chosen to be part of an End-to-End (ETE) route to forward data traffic to the destination. In case of interruption in connection during communication of data, local repair is attempted by UCRS up to two hops; in case route recovery failure occurs then UAV assistance is executed. The network simulator ns-2.31 is used to assess performance evaluation. The results reveal that UCRS achieved better performance compared to U2RV and AODV, in most of the scenarios with regard to the PDR, ETE delay, and control message overhead. The results show that UCRS achieved a 22% improvement in control message overhead as compared to U2RV and 33% as compared to AODV. Similarly, UCRS has achieved a 23% improvement in ETE Delay as compared to U2RV and 30% as compared to AODV. Last but not least, PDR has increased by 14.5% as compared to U2RV and 28% as compared to AODV.","PeriodicalId":447565,"journal":{"name":"2023 International Conference on Robotics and Automation in Industry (ICRAI)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126691087","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}

{"title":"An Automated System for the Classification of Bronchiolitis and Bronchiectasis Diseases using Lung Sound Analysis","authors":"S. Jaffery, Sumair Aziz, Muhammad Umar Khan, Syed Zohaib Hussain Naqvi, Muhammad Faraz, Adil Usman","doi":"10.1109/ICRAI57502.2023.10089608","DOIUrl":"https://doi.org/10.1109/ICRAI57502.2023.10089608","url":null,"abstract":"The main goal of this paper is to develop a classification model and a technique to identify bronchiolitis and bronchiectasis using lung sound analysis. In this paper, we develop a methodology to automatically identify lung disease through an intelligent system. ICBHI lungs sound database was used for this study. A total of 64 lung recordings, selected from three pulmonary classes namely normal, bronchiectasis and bronchiolitis were used for this purpose. To accomplish the task, we first split all the recorded signals into four parts to increase the number of input data. Discrete wavelet transform was used to denoise and segment the pulmonological data. Mel frequency cepstral coefficients were then computed from the cleaned signal. After extensive experimentation with various classifiers, the highest recognition rate of 99.6% was found by using K-Nearest Neighbors.","PeriodicalId":447565,"journal":{"name":"2023 International Conference on Robotics and Automation in Industry (ICRAI)","volume":"84 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122527672","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}

{"title":"Design and Validation of an Automation Strategy for the Strip Test Process in the Semiconductor Industry","authors":"M. A. A. Rahman, Cheng-Yi Lin, Paul G. Maropoulus, Woei Sheng Teoh, Azrul Azwan Abdul Rahman, E. Mohamad","doi":"10.1109/ICRAI57502.2023.10089538","DOIUrl":"https://doi.org/10.1109/ICRAI57502.2023.10089538","url":null,"abstract":"The semiconductor devices may be individually tested or tested in a batch process. One type of batch process is strip testing. Strip testing is the electrical testing of a semiconductor while the device is still in the lead frame strip. Strip test offers the most cost savings for small devices and short test times. Despite their advantages, current strip testing is not a fully optimized solution. During the lot change, the operator must perform a series of system-to-physical validation and several steps of system tracking before the lot starts. Various manual activities are happening within the process, consuming many productivity issues. On top of that, human intervention during the process will increase the possibility of the quality issue. The research aims to investigate the current tasks during the strip test process. It also aimed to develop and validate a suitable automation strategy for the trip test process. The work starts with a detailed study of the current process, transaction, and hardware. Later a potential improvement using automation is proposed to replace the operator's repetitive job and simultaneously be fully integrated with the manufacturing execution system. This research is hoped to bring a significant contribution and readiness for the next level of automation in semiconductor manufacturing, especially in strip testing. Through automation functionality, this preliminary work shows an increase in productivity and quality upon implementation.","PeriodicalId":447565,"journal":{"name":"2023 International Conference on Robotics and Automation in Industry (ICRAI)","volume":"118 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122467338","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}

{"title":"Variant Process Planning for a Job Shop","authors":"Mubashar Ali, Hassan Ali, H. Rizwan, Muhammad Umer, Hamid Abdullah, Hammas Ullah, Saad ur Rehman, Wasim Ahmad Khan","doi":"10.1109/ICRAI57502.2023.10089535","DOIUrl":"https://doi.org/10.1109/ICRAI57502.2023.10089535","url":null,"abstract":"Process planning in discrete manufacturing using either manual method or performed using Computer Aided Process Planning (CAPP). CAPP is further divided into Generative Process Planning (GPP) and Variant Process Planning (VPP). The VPP approach uses group technology principles to classify parts into part families based on geometric and manufacturing properties. VPP helps the human operator to select and modify the process plan from a database of the machine. It is a much easier and more economical process of planning alternatives for manufacturing similar components for each family. In this research paper, we develop a variant process plan for the compressor piston using the VPP methodology. All manufacturing procedures and tools information are stored in a database. The VPP recognizes and retrieves the existing process plane of a similar part from the database and generates a processing plane of some alteration for the new part. Memory (database) is used to retrieve the manufacturing plan for that part. If the new part differs significantly from the previous ones, there will be no similar features. The plan can then be modified by a human operator to accommodate the new part. Developed VPP is used as a module of discreet manufacturing in virtual manufacturing suite of software being developed at the GIK Institute.","PeriodicalId":447565,"journal":{"name":"2023 International Conference on Robotics and Automation in Industry (ICRAI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130183621","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}

{"title":"McKibben Pneumatic Artificial Muscle Robot Actuators - A Review","authors":"Muhammad Aqib Khan, Sadaf Shaik, Mohammad Hasan Tariq, Tariq Kamal","doi":"10.1109/ICRAI57502.2023.10089581","DOIUrl":"https://doi.org/10.1109/ICRAI57502.2023.10089581","url":null,"abstract":"The advent of robotics in science has ushered in a technological revolution in the current era. The medical field has been greatly aided by the development of artificial muscle robots. This paper presents a comprehensive understanding of the McKibben artificial muscle pneumatic actuator. This device was invented in the 1950s for the purpose of assisting handicapped individuals with their hands. It is composed of a contractile tube wrapped in a mesh thread. This study provides a descriptive analysis of the McKibben artificial muscle pneumatic actuator and its static model with and without friction consideration, as well as a description of the corresponding control strategies. Due to its promising technology, the paper also discusses its applications in medicine, industries, and biosystems.","PeriodicalId":447565,"journal":{"name":"2023 International Conference on Robotics and Automation in Industry (ICRAI)","volume":"21 12","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132242988","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}

{"title":"A Time Series Regression-based Model for Predicting the Spread of Dengue Disease","authors":"Muhammad Danish Waseem, Ali Nawaz, Uzair Rasheed, Abir Raza, Mubarak Omar Albarka","doi":"10.1109/ICRAI57502.2023.10089545","DOIUrl":"https://doi.org/10.1109/ICRAI57502.2023.10089545","url":null,"abstract":"Dengue is a viral disease, spread by the mosquito species Aedes aegypti. According to WHO, every year 100-400 million cases of dengue infection are reported worldwide. Dengue mosquito inhibits in tropical regions and proliferates in wet climate conditions. Since it is impossible to clean those regions from the mosquito completely, therefore an analysis of the relationship between different climatic factors and dengue spread is important to forecast the number of cases ahead so that precautionary measures can be taken beforehand to minimize the disease spread. Specifically, to predict the spread we employed two prominent time series models i.e. SARIMA and SARIMAX on the publicly available DengAI dataset. The performance of the models is evaluated by using Mean Absolute Error (MAE), achieving MAE scores of 27.39 and 25.52 on SARIMA and SARIMAX respectively, which reveals that our proposed methodology outperformed other existing machine learning methods.","PeriodicalId":447565,"journal":{"name":"2023 International Conference on Robotics and Automation in Industry (ICRAI)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134598787","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}

{"title":"Role of Machine Learning in Power Analysis Based Side Channel Attacks on FPGA","authors":"Ali Hasnain, Yame Asfia, S. G. Khawaja","doi":"10.1109/ICRAI57502.2023.10089540","DOIUrl":"https://doi.org/10.1109/ICRAI57502.2023.10089540","url":null,"abstract":"The cloud-based devices face many threats these days due to shared resources like power. The attacker measures the power by using some remote sensors which are present in attacker tenants. These sensors get partial or full access to a power distribution network (PDN) and work as a backdoor for the attacker. In our research, we explored potential security issues which involved power analysis-based side-channel attacks (SCAs) on Field Programmable Gate Arrays (FPGAs). We have made three major contributions to our research paper. First, we have discussed the power analysis or power profiling of FPGA, which is dependent upon voltage fluctuations' leakage while performing some encryption tasks. The voltage fluctuations of the cryptographic module are measured by some physical source like an oscilloscope or remote source like delay line sensors. Second, we have discussed potential power analysis-based SCAs that used these measurements of voltage fluctuations to extract the secret key. Third, we have designed a framework based on machine learning (ML) and deep learning (DL) models to perform secret key predictions and successful attacks. Firstly, our custom convolutional neural networks (CNN) model has revealed all 16 bytes of the secret key and performed a successful attack with only 570 attack power traces. Secondly, the multi-layer perceptron (MLP) model has successfully attacked only using 3200 traces using the same framework. Overall we have achieved a better performance in terms of the required number of power traces for a successful attack, training time, prediction time, and attack time.","PeriodicalId":447565,"journal":{"name":"2023 International Conference on Robotics and Automation in Industry (ICRAI)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133204726","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}

{"title":"Configuration Tool for Generating Multi-Type and Multi-Robot Work Cell Layout","authors":"M. A. A. Rahman, Kaafi N. Shikder, P. Maropoulos, E. Mohamad, Azrul Azwan Abdul Rahman, M. Salleh","doi":"10.1109/ICRAI57502.2023.10089607","DOIUrl":"https://doi.org/10.1109/ICRAI57502.2023.10089607","url":null,"abstract":"With the continuous increment in the installation and industrial robots in manufacturing industries, it is getting increasingly complicated for engineers to design efficient layouts for these robot work cells. This study has attempted to solve this problem by developing a configuration tool that would automatically propose and simulate a robot work cell layout upon receiving input data from the user with the help of a Graphical User Interface (GUI). This GUI and the underlying solution algorithms embedded in the configuration tool have been developed employing Microsoft Visual Basic, which is integrated with SOLIDWORKS API to demonstrate the layout design solutions in SOLIDWORKS directly. Five types of robot models have been considered in this study: with each of these robots being 6-DOF and primarily used for welding tasks. The developed configuration tool can produce design solutions for three types of layout shapes: Linear Horizontal/Vertical, Linear Parallel and L-Shaped, for a maximum of ten robots per layout. Specifically, this tool can generate layout design solutions for approximately 12 million combinations of these five types of robots per layout or about 36 million types of solutions. This configuration tool can potentially assist the design engineers in simplifying this complicated robot work cell layout and, therefore, can act as a guiding tool for effective cell layout designs. At this stage, the developed tool is preliminary work involving only simulation works.","PeriodicalId":447565,"journal":{"name":"2023 International Conference on Robotics and Automation in Industry (ICRAI)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130215047","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}

{"title":"Design and Development of IoT Based Weather and Air Quality Monitoring Station","authors":"Muhammad Haris, Bilal Ubaid, Uzma Bibi, Ameer Said, Syed Najm us Saqib, Shahbaz Khan, Muhammad Tufail","doi":"10.1109/ICRAI57502.2023.10089568","DOIUrl":"https://doi.org/10.1109/ICRAI57502.2023.10089568","url":null,"abstract":"This paper presents the Design and Development of IoT Based Weather and Air Quality Monitoring stations that provide weather-related information for agriculture, and aviation climate forecasting purposes. The prototype is made up of an outdoor unit that consistently monitors numerous climatic variables such as temperature, humidity, barometric pressure, wind speed, wind direction, rainfall, and air quality using sensors with high accuracy. The air quality index(AQI) is also calculated using the sensors values which tell us whether the atmosphere is safe or polluted. ESP32(Microcontroller) which has a WiFi module is used to gather and send the sensor data through the Internet of things (IoT) to a ThingSpeak channel (IoT cloud), an internet platform where the data is saved, analyzed and read the data remotely. The weather station makes use of photovoltaic power and a rechargeable lead-acid battery to sustain the system. This paper also discusses the obvious strengths and shortcomings of the system and suggests plausible upgrades to assist the system in obtaining higher and long-term performance.","PeriodicalId":447565,"journal":{"name":"2023 International Conference on Robotics and Automation in Industry (ICRAI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130334483","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}

{"title":"A Feature Extraction Algorithm for Hybrid Manufacturing and Its Application in Robot-Based Additive and Subtractive Processes","authors":"O. Cooke, Hamdan Al-Musaibeli, Rafiq Ahmad","doi":"10.1109/ICRAI57502.2023.10089593","DOIUrl":"https://doi.org/10.1109/ICRAI57502.2023.10089593","url":null,"abstract":"Establishing efficient, non-traditional manufacturing methods is critical for achieving a circular economy. Remanufacturing, the process in which a part is modified to restore original or like-new functionality, can improve manufacturing sustainability by closing the supply chain loop. A critical remanufacturing technique is hybrid manufacturing: combined additive and subtractive manufacturing processes that enable features to be added or removed from an existing part. This paper proposes a method for automating the feature extraction process for hybrid manufacturing, which is otherwise labor-intensive. The feature extraction is performed between a CAD model of the desired part and a 3D scan of the actual part to be remanufactured. The extracted features are then classified for the optimal manufacturing process and exported as STL files, which can be utilized as inputs for various tool path planning algorithms. An experiment is performed on an end-of-life case study to validate the proposed methodology. Additionally, simulations of the additive and subtractive remanufacturing processes are included to demonstrate one potential application of the proposed feature extraction process.","PeriodicalId":447565,"journal":{"name":"2023 International Conference on Robotics and Automation in Industry (ICRAI)","volume":"107 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122900125","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}