Current practices of predicting the performance of a construction team require inspections that are still mainly manual, time-consuming, and can contain errors. In this paper, we proposed an automated site inspection and violation detection system that can be used in construction sites. Our proposed system uses deep learning SqueezeNet pre-trained network to detect two main violations: i) health & safety and ii) electrical hazards. The accuracy of our proposed system is 91.67% in detecting health & safety violations related to none-wearing personal protective equipment (PPE) while the accuracy of our proposed system reached 92.86% in detecting electrical hazards.
{"title":"Automatic Site Inspection System in Construction Sites (ICI–Intelligent Camera Inspection)","authors":"Maitha Rashed Al Zaabi, Houraa Alhendi, Hessa Alkhoori, Maryam Alkhoori, Shama Alkhemriri, Yasmeen Abu-Kheil","doi":"10.1109/ASET53988.2022.9734932","DOIUrl":"https://doi.org/10.1109/ASET53988.2022.9734932","url":null,"abstract":"Current practices of predicting the performance of a construction team require inspections that are still mainly manual, time-consuming, and can contain errors. In this paper, we proposed an automated site inspection and violation detection system that can be used in construction sites. Our proposed system uses deep learning SqueezeNet pre-trained network to detect two main violations: i) health & safety and ii) electrical hazards. The accuracy of our proposed system is 91.67% in detecting health & safety violations related to none-wearing personal protective equipment (PPE) while the accuracy of our proposed system reached 92.86% in detecting electrical hazards.","PeriodicalId":6832,"journal":{"name":"2022 Advances in Science and Engineering Technology International Conferences (ASET)","volume":"31 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2022-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75355439","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 : 2022-02-21DOI: 10.1109/ASET53988.2022.9734311
Yahya AlMashayikh, S. Zawaydeh, Emad Abdelsalam, M. Alkasrawi, Rashed AlBdour, T. Salameh
Jordan Energy Strategy 2020 – 2030 clearly states that storage technologies will be part of the regulatory framework in the future, make the grid agile, smart, clean and flexible. The storage was not part of the traditional electricity network in the past, but it is a game changer especially with the advancement of technology. Three main scenarios have been developed to achieve energy savings, reduce CO2 emissions and increase demand-side energy storage of 110 GWh by 2030, according to Jordan's Energy Strategy 2020. -2030. Another scenario was worked out to reduce energy from the generation side and energy storage by replacing 110 GWh of diesel generators on the generation side, and the result was a saving of 178 million dinars annually and 110 GWh from the generation side. The final scenario was created to achieve load conversion from excess energy at peak sun hour and send it at night at peak demand. in Jordan by generating 311 GWh at Mujib Dam by 2030, the project is not economical but important for the purpose of providing grid services.
{"title":"Pumped Hydro Storage Contributions to Achieve Jordan Energy Strategy 2020-2030","authors":"Yahya AlMashayikh, S. Zawaydeh, Emad Abdelsalam, M. Alkasrawi, Rashed AlBdour, T. Salameh","doi":"10.1109/ASET53988.2022.9734311","DOIUrl":"https://doi.org/10.1109/ASET53988.2022.9734311","url":null,"abstract":"Jordan Energy Strategy 2020 – 2030 clearly states that storage technologies will be part of the regulatory framework in the future, make the grid agile, smart, clean and flexible. The storage was not part of the traditional electricity network in the past, but it is a game changer especially with the advancement of technology. Three main scenarios have been developed to achieve energy savings, reduce CO2 emissions and increase demand-side energy storage of 110 GWh by 2030, according to Jordan's Energy Strategy 2020. -2030. Another scenario was worked out to reduce energy from the generation side and energy storage by replacing 110 GWh of diesel generators on the generation side, and the result was a saving of 178 million dinars annually and 110 GWh from the generation side. The final scenario was created to achieve load conversion from excess energy at peak sun hour and send it at night at peak demand. in Jordan by generating 311 GWh at Mujib Dam by 2030, the project is not economical but important for the purpose of providing grid services.","PeriodicalId":6832,"journal":{"name":"2022 Advances in Science and Engineering Technology International Conferences (ASET)","volume":"58 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2022-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76266597","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 : 2022-02-21DOI: 10.1109/ASET53988.2022.9735053
M. Ibrahim
This paper measures the overall, technical and scale efficiencies of public hospitals surgical services and explores strategies to improve efficiency. Composite Data Envelopment Analysis (DEA) models that accommodating ratio variables are developed to measure efficiencies, and offer improvement strategies. Results show that overstayed patients can be minimized by 9% and 6% for overall and technical efficiency to operate efficiently. Decreasing the scale of the surgical service department will not improve efficiency. In conclusion, the number of hospitalized-discharged patients showed to be the most contributing factor to efficiency for outputs, and patient turnover rate among the input. It is recommended that inpatient throughput be improved and patient overstay be minimized, also, the operational and personal management should be enhanced to utilize resources.
{"title":"Efficiency analysis of Surgical services departments: Application of Data Envelopment Analysis","authors":"M. Ibrahim","doi":"10.1109/ASET53988.2022.9735053","DOIUrl":"https://doi.org/10.1109/ASET53988.2022.9735053","url":null,"abstract":"This paper measures the overall, technical and scale efficiencies of public hospitals surgical services and explores strategies to improve efficiency. Composite Data Envelopment Analysis (DEA) models that accommodating ratio variables are developed to measure efficiencies, and offer improvement strategies. Results show that overstayed patients can be minimized by 9% and 6% for overall and technical efficiency to operate efficiently. Decreasing the scale of the surgical service department will not improve efficiency. In conclusion, the number of hospitalized-discharged patients showed to be the most contributing factor to efficiency for outputs, and patient turnover rate among the input. It is recommended that inpatient throughput be improved and patient overstay be minimized, also, the operational and personal management should be enhanced to utilize resources.","PeriodicalId":6832,"journal":{"name":"2022 Advances in Science and Engineering Technology International Conferences (ASET)","volume":"1 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2022-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77861709","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 : 2022-02-21DOI: 10.1109/ASET53988.2022.9735044
Waleed Obaid, M. M. Farag, A. Hamid
This paper proposes a framework that will be discussed for the smart recognition of individual identification information for COVID-19 APPs. An example of these APPs is AL HOSN APP in the United Arab Emirates. The study will evaluate the identification of an individual that contains information regarding PCR results and COVID-19 Vaccine results. Such data entry enables users to access places while lowering the chances of face-to-face contact. The proposed framework will ensure complete security to prevent abuse of individual’s personal information. Furthermore, importance of detection mechanism with hardware compatibility is taken into account to ensure a complete smart process from scanning process to validation of results.
{"title":"Smart Information Recognition on COVID-19 APPs for User Health Identification","authors":"Waleed Obaid, M. M. Farag, A. Hamid","doi":"10.1109/ASET53988.2022.9735044","DOIUrl":"https://doi.org/10.1109/ASET53988.2022.9735044","url":null,"abstract":"This paper proposes a framework that will be discussed for the smart recognition of individual identification information for COVID-19 APPs. An example of these APPs is AL HOSN APP in the United Arab Emirates. The study will evaluate the identification of an individual that contains information regarding PCR results and COVID-19 Vaccine results. Such data entry enables users to access places while lowering the chances of face-to-face contact. The proposed framework will ensure complete security to prevent abuse of individual’s personal information. Furthermore, importance of detection mechanism with hardware compatibility is taken into account to ensure a complete smart process from scanning process to validation of results.","PeriodicalId":6832,"journal":{"name":"2022 Advances in Science and Engineering Technology International Conferences (ASET)","volume":"1 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2022-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79843418","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 : 2022-02-21DOI: 10.1109/ASET53988.2022.9734981
Vasila Alkhaldi, A. Mourad, M. El Gamal
Alternatives to normal concrete (NC) have been investigated heavily in the last decade, Sulfur concrete is one of the promising substitutes as it works as a binder that replaces the use of cement and water to form a more sustainable option. The objective of this case study was to investigate the effect of using carbide lime waste as aggregate to produce sulfur-based concrete. To achieve this, characterization of the mix components was done after that the mechanical properties of sulfur concrete proportioned with various aggregate types were evaluated. Results revealed that the use of fillers enhanced the properties of the mix and that the mix illustrated superior mechanical properties. Moreover, the study recommended further research to prove the durability of the mix.
{"title":"Sustainable Concrete Using Industrial By-product Waste","authors":"Vasila Alkhaldi, A. Mourad, M. El Gamal","doi":"10.1109/ASET53988.2022.9734981","DOIUrl":"https://doi.org/10.1109/ASET53988.2022.9734981","url":null,"abstract":"Alternatives to normal concrete (NC) have been investigated heavily in the last decade, Sulfur concrete is one of the promising substitutes as it works as a binder that replaces the use of cement and water to form a more sustainable option. The objective of this case study was to investigate the effect of using carbide lime waste as aggregate to produce sulfur-based concrete. To achieve this, characterization of the mix components was done after that the mechanical properties of sulfur concrete proportioned with various aggregate types were evaluated. Results revealed that the use of fillers enhanced the properties of the mix and that the mix illustrated superior mechanical properties. Moreover, the study recommended further research to prove the durability of the mix.","PeriodicalId":6832,"journal":{"name":"2022 Advances in Science and Engineering Technology International Conferences (ASET)","volume":"16 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2022-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81923213","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 : 2022-02-21DOI: 10.1109/ASET53988.2022.9735037
Imtiaz Ali Laghari, M. Samykano, A. Pandey, Z. Said, K. Kadirgma, V. Tyagi
The Latent heat storage (LHS) based on phase change materials (PCMs) has a critical part to demonstration in preserving and efficiently utilizing energy, resolving demand-supply mismatches, and boosting the efficiency of energy systems. However, they have a low thermal performance inherent in it because the low thermal conductivity (TC) of PCMs. Paraffin organic PCMs have several advantages such as higher LHS, nontoxic, abundant in nature and inexpensive, whereas TiO2 nanoparticle is type of hydrophilic group having tendency to improve TC. In this research TiO2 in different concentration (0.1, 0.5, 1, and 2 wt percent) with surfactant sodium dodecyl benzene sulphonate (SDBS) added into Paraffin RT44 HC PCM using two step techniques, and the thermophysical properties were broadly discussed. Thermogravimetric analyzer (TGA), Fourier transform infrared spectroscopy (FT-IR) and Thermal property analyzer (TEMPOS) were used for the characterization of prepared composite nano-enhanced phase change materials (NePCM). Additionally, the effect of nanoparticles on TC was investigated. The highest TC was obtained with PW/TiO2-1.0 by an increment of 86.36% as related with base PW. The FTIR spectrum of the composite PW/TiO2 confirmed no interaction between PW and TiO2, resulting in a more chemical stable composite. The addition of TiO2 to PW enhanced the degradation temperature to 10℃ by making it more thermal stable. Grounded on the results it can be concluded that the developed composite is suitable for thermal energy storage (TES), photovoltaic thermal (PVT) systems, and hot water applications.
基于相变材料的潜热蓄能技术在能源保护和高效利用、解决能源供需不匹配、提高能源系统效率等方面具有重要意义。然而，由于pcm的低导热系数(TC)，它们具有较低的固有热性能。石蜡有机pcm具有LHS高、无毒、含量丰富、价格低廉等优点，而TiO2纳米颗粒是一种亲水基团，具有改善TC的倾向。本研究采用两步法将不同浓度(0.1、0.5、1、2%)的TiO2与表面活性剂十二烷基苯磺酸钠(SDBS)一起加入到石蜡RT44 HC PCM中，并对其热物理性质进行了广泛的讨论。采用热重分析仪(TGA)、傅里叶红外光谱分析仪(FT-IR)和热性能分析仪(TEMPOS)对制备的复合纳米增强相变材料(NePCM)进行表征。此外，还研究了纳米颗粒对TC的影响。当PW/TiO2-1.0时获得的TC最高，与碱PW相关的增量为86.36%。复合材料PW/TiO2的FTIR光谱证实PW和TiO2之间没有相互作用，因此复合材料的化学稳定性更高。TiO2的加入使PW的热稳定性提高，降解温度提高到10℃。结果表明，所研制的复合材料适用于热储能(TES)、光伏热(PVT)系统和热水应用。
{"title":"Thermal conductivity and Thermal properties enhancement of Paraffin/ Titanium Oxide based Nano enhanced Phase change materials for Energy storage","authors":"Imtiaz Ali Laghari, M. Samykano, A. Pandey, Z. Said, K. Kadirgma, V. Tyagi","doi":"10.1109/ASET53988.2022.9735037","DOIUrl":"https://doi.org/10.1109/ASET53988.2022.9735037","url":null,"abstract":"The Latent heat storage (LHS) based on phase change materials (PCMs) has a critical part to demonstration in preserving and efficiently utilizing energy, resolving demand-supply mismatches, and boosting the efficiency of energy systems. However, they have a low thermal performance inherent in it because the low thermal conductivity (TC) of PCMs. Paraffin organic PCMs have several advantages such as higher LHS, nontoxic, abundant in nature and inexpensive, whereas TiO2 nanoparticle is type of hydrophilic group having tendency to improve TC. In this research TiO2 in different concentration (0.1, 0.5, 1, and 2 wt percent) with surfactant sodium dodecyl benzene sulphonate (SDBS) added into Paraffin RT44 HC PCM using two step techniques, and the thermophysical properties were broadly discussed. Thermogravimetric analyzer (TGA), Fourier transform infrared spectroscopy (FT-IR) and Thermal property analyzer (TEMPOS) were used for the characterization of prepared composite nano-enhanced phase change materials (NePCM). Additionally, the effect of nanoparticles on TC was investigated. The highest TC was obtained with PW/TiO2-1.0 by an increment of 86.36% as related with base PW. The FTIR spectrum of the composite PW/TiO2 confirmed no interaction between PW and TiO2, resulting in a more chemical stable composite. The addition of TiO2 to PW enhanced the degradation temperature to 10℃ by making it more thermal stable. Grounded on the results it can be concluded that the developed composite is suitable for thermal energy storage (TES), photovoltaic thermal (PVT) systems, and hot water applications.","PeriodicalId":6832,"journal":{"name":"2022 Advances in Science and Engineering Technology International Conferences (ASET)","volume":"24 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2022-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82559813","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 : 2022-02-21DOI: 10.1109/ASET53988.2022.9735051
A. Hamid, Samreen Ansari
From ancient times to the present day, the wind has been consistently recognized as one of the most important, accessible, and environmentally friendly energy sources, which today has a significant share in global electricity generation. The limited resources of fossil fuels are running out day by day, and the exploitation of this type of energy produces harmful pollutants. Consequently, double attention is paid to wind power and similar free and sustainable resources. Attaining the optimal location for establishing wind farms and turbines preeminently reduces construction/transmission costs and energy-related losses. In light of the above, we employ several artificial intelligence (AI) algorithms to optimally identify and locate the grid-connected wind farms, significantly serving electricity energy manufacturers and distribution companies. In addition, this study aims to maximize the efficiency of the wind energy system by considering the critical factors influencing the production capacities, such as wind speed, air density, turbine size, and geographical location. This work leverages an image processing-based technique, density-based spatial clustering of applications with noise (DB-SCAN), k-means, fuzzy c-means (FCM), and k-medoids machine learning algorithms. Numerous experiments and simulations are designed and performed exploiting MATLAB/Simulink, all of which demonstrate the substantial superiority of the proposed systems.
{"title":"Optimal Placement of Grid-Connected Wind Farms Based on Artificial Intelligence Techniques","authors":"A. Hamid, Samreen Ansari","doi":"10.1109/ASET53988.2022.9735051","DOIUrl":"https://doi.org/10.1109/ASET53988.2022.9735051","url":null,"abstract":"From ancient times to the present day, the wind has been consistently recognized as one of the most important, accessible, and environmentally friendly energy sources, which today has a significant share in global electricity generation. The limited resources of fossil fuels are running out day by day, and the exploitation of this type of energy produces harmful pollutants. Consequently, double attention is paid to wind power and similar free and sustainable resources. Attaining the optimal location for establishing wind farms and turbines preeminently reduces construction/transmission costs and energy-related losses. In light of the above, we employ several artificial intelligence (AI) algorithms to optimally identify and locate the grid-connected wind farms, significantly serving electricity energy manufacturers and distribution companies. In addition, this study aims to maximize the efficiency of the wind energy system by considering the critical factors influencing the production capacities, such as wind speed, air density, turbine size, and geographical location. This work leverages an image processing-based technique, density-based spatial clustering of applications with noise (DB-SCAN), k-means, fuzzy c-means (FCM), and k-medoids machine learning algorithms. Numerous experiments and simulations are designed and performed exploiting MATLAB/Simulink, all of which demonstrate the substantial superiority of the proposed systems.","PeriodicalId":6832,"journal":{"name":"2022 Advances in Science and Engineering Technology International Conferences (ASET)","volume":"12 1","pages":"1-8"},"PeriodicalIF":0.0,"publicationDate":"2022-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82418165","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 : 2022-02-21DOI: 10.1109/ASET53988.2022.9734941
Dhanya Surith
This study uses three worlds of mathematics framework proposed by [3], which explains the progression of human mathematical thinking from embodied, symbolic and formal worlds of mathematics. To understand the mathematical thinking of the first year undergraduate students learning algebra, this study focuses on embodied and symbolic thinking aspects of the three worlds framework, and explains transitional mathematical thinking. Written tasks and online surveys are used to understand the development of mathematical thinking in algebra. Transitions in student mathematical thinking from the embodied to the symbolic world and symbolic to the embodied are explained analyzing the written tasks. Results suggest that students’ mathematical thinking is at more ease with transition from embodied to symbolic compared to the transition from symbolic to the embodied.
{"title":"Understanding students’ transition in mathematical thinking in algebra: The three worlds of mathematics","authors":"Dhanya Surith","doi":"10.1109/ASET53988.2022.9734941","DOIUrl":"https://doi.org/10.1109/ASET53988.2022.9734941","url":null,"abstract":"This study uses three worlds of mathematics framework proposed by [3], which explains the progression of human mathematical thinking from embodied, symbolic and formal worlds of mathematics. To understand the mathematical thinking of the first year undergraduate students learning algebra, this study focuses on embodied and symbolic thinking aspects of the three worlds framework, and explains transitional mathematical thinking. Written tasks and online surveys are used to understand the development of mathematical thinking in algebra. Transitions in student mathematical thinking from the embodied to the symbolic world and symbolic to the embodied are explained analyzing the written tasks. Results suggest that students’ mathematical thinking is at more ease with transition from embodied to symbolic compared to the transition from symbolic to the embodied.","PeriodicalId":6832,"journal":{"name":"2022 Advances in Science and Engineering Technology International Conferences (ASET)","volume":"35 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2022-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87188775","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 : 2022-02-21DOI: 10.1109/ASET53988.2022.9734865
Saeed K. Alnuaimi, A. Mourad
This paper proposes an investigation of L-shaped piezoelectric composite beams to generate electric power. The objective is to increase the bandwidth of the frequency range to harvest the energy. The structure is formed by one 150mm auxiliary piezoelectric composite beam and one 75 mm main piezoelectric composite beam, one tip masses. The tip masses on the 75 mm main composite beam are varied to determine the frequency range to harvest energy. The capability to control the frequency bandwidth about which energy is harvested is illustrated by adjusting beam lengths properly. This device has been found to provide that the output power and energy harvesting efficiency over the L-shaped structure’s frequency range is greater than the cantilever structure’s output power and energy harvesting efficiency under the same excitation conditions. The power densities of the different configurations are compared.
{"title":"Energy harvesting from L shaped frames with adjustable load mass","authors":"Saeed K. Alnuaimi, A. Mourad","doi":"10.1109/ASET53988.2022.9734865","DOIUrl":"https://doi.org/10.1109/ASET53988.2022.9734865","url":null,"abstract":"This paper proposes an investigation of L-shaped piezoelectric composite beams to generate electric power. The objective is to increase the bandwidth of the frequency range to harvest the energy. The structure is formed by one 150mm auxiliary piezoelectric composite beam and one 75 mm main piezoelectric composite beam, one tip masses. The tip masses on the 75 mm main composite beam are varied to determine the frequency range to harvest energy. The capability to control the frequency bandwidth about which energy is harvested is illustrated by adjusting beam lengths properly. This device has been found to provide that the output power and energy harvesting efficiency over the L-shaped structure’s frequency range is greater than the cantilever structure’s output power and energy harvesting efficiency under the same excitation conditions. The power densities of the different configurations are compared.","PeriodicalId":6832,"journal":{"name":"2022 Advances in Science and Engineering Technology International Conferences (ASET)","volume":"1972 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2022-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90238530","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 : 2022-02-21DOI: 10.1109/ASET53988.2022.9734874
Saif K. Almulla, Omar Zaatar, Hamad S. Ahmed, Noor ul Misbah Khanum, A. Jarndal
The prevalence of diabetes has been consistently increasing over the past decades. While implementation of sensor-based systems for managing diabetes is on the rise, manual monitoring efforts are still required in case of abnormal fluctuations in the blood glucose levels due to lack of intelligent systems. This paper presents an incremental research work developed on top of a previous work to build a smart system. The proposed system helps in managing Type-1 diabetes using future predictions to avoid hypoglycemia or hyperglycemia. It presents a smart healthcare device for diabetic patients with the ability of intelligently controlling the insulin dosage each time during automatic injection to maintain normal blood glucose levels. The system consists of an insulin pump, a continuous glucose monitor (CGM), and a microprocessor unit which utilizes artificial intelligence (AI) based algorithms to predict future blood glucose levels to avoid serious conditions. The prediction feature used in the proposed system distinguishes it from other commercially available products. Furthermore, the proposed system monitors the blood glucose levels of the patient and notifies the patient in case of critical conditions. It can also send a summarized report to the healthcare center and provide the patient with a timeline of collected data and insulin dosages injected. The device was implemented and tested with very good results.
{"title":"Smart Artificial-Intelligence Based Self-Care-Device for Diabetic Patients","authors":"Saif K. Almulla, Omar Zaatar, Hamad S. Ahmed, Noor ul Misbah Khanum, A. Jarndal","doi":"10.1109/ASET53988.2022.9734874","DOIUrl":"https://doi.org/10.1109/ASET53988.2022.9734874","url":null,"abstract":"The prevalence of diabetes has been consistently increasing over the past decades. While implementation of sensor-based systems for managing diabetes is on the rise, manual monitoring efforts are still required in case of abnormal fluctuations in the blood glucose levels due to lack of intelligent systems. This paper presents an incremental research work developed on top of a previous work to build a smart system. The proposed system helps in managing Type-1 diabetes using future predictions to avoid hypoglycemia or hyperglycemia. It presents a smart healthcare device for diabetic patients with the ability of intelligently controlling the insulin dosage each time during automatic injection to maintain normal blood glucose levels. The system consists of an insulin pump, a continuous glucose monitor (CGM), and a microprocessor unit which utilizes artificial intelligence (AI) based algorithms to predict future blood glucose levels to avoid serious conditions. The prediction feature used in the proposed system distinguishes it from other commercially available products. Furthermore, the proposed system monitors the blood glucose levels of the patient and notifies the patient in case of critical conditions. It can also send a summarized report to the healthcare center and provide the patient with a timeline of collected data and insulin dosages injected. The device was implemented and tested with very good results.","PeriodicalId":6832,"journal":{"name":"2022 Advances in Science and Engineering Technology International Conferences (ASET)","volume":"63 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2022-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86031474","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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