Pub Date : 2022-06-10DOI: 10.51983/ajeat-2022.11.1.3314
G. Aimufua, J. O. Akimoh, A. Jegede
In Nigeria, farmers account for more than a third of the labor force. Despite the government's and other relevant stakeholders' strategies and measures to address climate change's impact on agricultural activities in Nigeria, the country has continued to be threatened by climate change, which has had negative consequences for food production, particularly rice and maize, which are the country's main staple foods. High precipitation owing to moisture levels negates agricultural yields, according to the impacts of temperature and moisture levels on agriculture productivity. Weather disasters, deforestation, disease transmission, and species extinction are all climate variables that limit agricultural production rates. The goal of this research is to use machine learning algorithms to determine the best weather conditions for arable crops. To model and predict agricultural yields, fuzzy logic was used. Secondary data, pre-processing and processing, modeling, and the user interface are the five sections that make up the system design. The harvesting outcomes for each of the months specified From January through December, the majority of the data obtained revealed Harvest values of low (54.8%), fair (23.6%), and good (21.5%) quality. Agricultural activities should be carried out between MAY and SEP, whereas crops that require a lot of rain should be sown between JUL and AUG when rainfall is at its highest. The study concluded that agricultural operations should be carried out between MAY and SEP in order to achieve good harvest quality, based on the data collected, extracted, and assessed. The findings of the study will guide policymakers and farmers toward a bumper harvest, increased income, and a rise in the country's GDP. Finally, crops that require a lot of rain, like rice, should be planted between July and August, according to the research.
{"title":"Modeling of Climate Effect on Arable Crops Production of Oryza Sativa and Zea Mays in Nigeria Using Fuzzy Logic","authors":"G. Aimufua, J. O. Akimoh, A. Jegede","doi":"10.51983/ajeat-2022.11.1.3314","DOIUrl":"https://doi.org/10.51983/ajeat-2022.11.1.3314","url":null,"abstract":"In Nigeria, farmers account for more than a third of the labor force. Despite the government's and other relevant stakeholders' strategies and measures to address climate change's impact on agricultural activities in Nigeria, the country has continued to be threatened by climate change, which has had negative consequences for food production, particularly rice and maize, which are the country's main staple foods. High precipitation owing to moisture levels negates agricultural yields, according to the impacts of temperature and moisture levels on agriculture productivity. Weather disasters, deforestation, disease transmission, and species extinction are all climate variables that limit agricultural production rates. The goal of this research is to use machine learning algorithms to determine the best weather conditions for arable crops. To model and predict agricultural yields, fuzzy logic was used. Secondary data, pre-processing and processing, modeling, and the user interface are the five sections that make up the system design. The harvesting outcomes for each of the months specified From January through December, the majority of the data obtained revealed Harvest values of low (54.8%), fair (23.6%), and good (21.5%) quality. Agricultural activities should be carried out between MAY and SEP, whereas crops that require a lot of rain should be sown between JUL and AUG when rainfall is at its highest. The study concluded that agricultural operations should be carried out between MAY and SEP in order to achieve good harvest quality, based on the data collected, extracted, and assessed. The findings of the study will guide policymakers and farmers toward a bumper harvest, increased income, and a rise in the country's GDP. Finally, crops that require a lot of rain, like rice, should be planted between July and August, according to the research.","PeriodicalId":8524,"journal":{"name":"Asian Journal of Engineering and Applied Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82819335","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 : 2022-06-10DOI: 10.51983/ajeat-2022.11.1.3304
Samiya Majid Baba, I. Bala
The Internet of Things (IoT) is present in every aspect of our lives. They are used in our households, in hospitals, and outside to monitor and report environmental improvements, deter fires, and perform a variety of other useful functions. However, both of these advantages can come at the expense of significant security and risks privacy. Several academic research have been conducted to counteract these issues and figure out a better way to remove or minimise the threats to the user’s privacy and protection specifications in IoT devices. The survey is divided into four parts. The first section would look at the most important shortcomings of IoT devices and how to overcome them. The description of IoT attacks will be presented in the second section. The final section would look at security problems at various layers.
{"title":"Security and Privacy Concerns for the Modern Technology of Internet of Things","authors":"Samiya Majid Baba, I. Bala","doi":"10.51983/ajeat-2022.11.1.3304","DOIUrl":"https://doi.org/10.51983/ajeat-2022.11.1.3304","url":null,"abstract":"The Internet of Things (IoT) is present in every aspect of our lives. They are used in our households, in hospitals, and outside to monitor and report environmental improvements, deter fires, and perform a variety of other useful functions. However, both of these advantages can come at the expense of significant security and risks privacy. Several academic research have been conducted to counteract these issues and figure out a better way to remove or minimise the threats to the user’s privacy and protection specifications in IoT devices. The survey is divided into four parts. The first section would look at the most important shortcomings of IoT devices and how to overcome them. The description of IoT attacks will be presented in the second section. The final section would look at security problems at various layers.","PeriodicalId":8524,"journal":{"name":"Asian Journal of Engineering and Applied Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88521005","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 : 2022-06-03DOI: 10.21831/jeatech.v3i1.50200
Aji Prasojo, D. Nurhadiyanto, G. Kassymova
This research aimed to design a tool that can reduce one type of waste on the production floor, namely excessive transportation in the form of a waste of transportation time. The design of the tool was carried out by inspecting to the details of the failures that occurred in the previous means of transportation. This development research implemented stopwatch time study method and failure mode and effect analysis to find out the value of the loss of transportation time and the types of failures that cause it. The sample of the transportation process time was taken by simple random sampling method from the intensity of the transportation process per month, based on the type of transportation process on the production floor of a textile company. Then the design of the tool was carried out using the morphological matrix method and weighted objectives table to create the design that fits the needs. The results show that the prediction of the amount of excessive transportation in the form of a waste of time can be minimized by 8,11 hours. Moreover, the new design tool also has a safe structure due to its attained maximum equivalent stress was 17.4 MPa which was smaller than the maximum yield stress of the ST37 material.
{"title":"Tool Design for Reducing Excessive Transportation in a Textile Industry: Case Study in a Textile Company in Indonesia","authors":"Aji Prasojo, D. Nurhadiyanto, G. Kassymova","doi":"10.21831/jeatech.v3i1.50200","DOIUrl":"https://doi.org/10.21831/jeatech.v3i1.50200","url":null,"abstract":"This research aimed to design a tool that can reduce one type of waste on the production floor, namely excessive transportation in the form of a waste of transportation time. The design of the tool was carried out by inspecting to the details of the failures that occurred in the previous means of transportation. This development research implemented stopwatch time study method and failure mode and effect analysis to find out the value of the loss of transportation time and the types of failures that cause it. The sample of the transportation process time was taken by simple random sampling method from the intensity of the transportation process per month, based on the type of transportation process on the production floor of a textile company. Then the design of the tool was carried out using the morphological matrix method and weighted objectives table to create the design that fits the needs. The results show that the prediction of the amount of excessive transportation in the form of a waste of time can be minimized by 8,11 hours. Moreover, the new design tool also has a safe structure due to its attained maximum equivalent stress was 17.4 MPa which was smaller than the maximum yield stress of the ST37 material.","PeriodicalId":8524,"journal":{"name":"Asian Journal of Engineering and Applied Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91486979","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 : 2022-06-01DOI: 10.51983/ajeat-2022.11.1.3200
S. Alhassan, M. I. Daabo, G. Armah
Secure communication is most effective when it is covert. In the realm of covert communication, steganography conceals secret message within a cover medium. This ensures that adversaries who have access to this carrier medium are unaware of the existence of the secret message. This paper proposes a novel twin K-Shuffling and embedding technique that scrambles and hides secret message inside audio samples. The scrambling phase of the proposed technique consists of bit and character shuffling. The bit-shuffling scrambles the bit-string of each character in the secret message into cipher-text via K-Shuffle. The characters of the resulting cipher-text are then shuffled by another K-Shuffle technique to yield chaotic cipher-text. At the embedding phase, the scrambled cipher-text is randomly planted into the carrier audio samples. The novelty in this proposed technique is the provision of a three-layer protection for secret messages; bit, character, and encoding layers. Results and analyses show that this technique satisfied both embedding and encryption requirements of steganographic systems.
{"title":"Twin K-Shuffle Based Audio Steganography","authors":"S. Alhassan, M. I. Daabo, G. Armah","doi":"10.51983/ajeat-2022.11.1.3200","DOIUrl":"https://doi.org/10.51983/ajeat-2022.11.1.3200","url":null,"abstract":"Secure communication is most effective when it is covert. In the realm of covert communication, steganography conceals secret message within a cover medium. This ensures that adversaries who have access to this carrier medium are unaware of the existence of the secret message. This paper proposes a novel twin K-Shuffling and embedding technique that scrambles and hides secret message inside audio samples. The scrambling phase of the proposed technique consists of bit and character shuffling. The bit-shuffling scrambles the bit-string of each character in the secret message into cipher-text via K-Shuffle. The characters of the resulting cipher-text are then shuffled by another K-Shuffle technique to yield chaotic cipher-text. At the embedding phase, the scrambled cipher-text is randomly planted into the carrier audio samples. The novelty in this proposed technique is the provision of a three-layer protection for secret messages; bit, character, and encoding layers. Results and analyses show that this technique satisfied both embedding and encryption requirements of steganographic systems.","PeriodicalId":8524,"journal":{"name":"Asian Journal of Engineering and Applied Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82724939","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 : 2022-06-01DOI: 10.51983/ajeat-2022.11.1.3222
H. Sharma
This research paper provides a comprehensive overview on investment intention of subjects towards crypto currency. We hypothesise that trust, electronic word of mouth, perceived risk and moderator financial literacy are the primary reasons for the increased interest in crypto currencies. An online questionnaire was framed and data was collected from 247 respondents who are well aware about digital investments, possess basic knowledge of internet and are keen in exploring more digital avenues of investments. Data analysis was carried out through two stage structural equation modelling. The findings suggested that investment intentions are significantly influenced by trust, electronic word of mouth and perceived risk. Further, financial literacy moderated the effect of electronic word of mouth and trust on investment intention. The current paper is unique and first of its kind in India where it reflects the investment intentions of subjects towards crypto currency along with the linking of trust, electronic word of mouth, perceived risk and financial literacy as moderator. Particularly, the finding of this study is one of a unique attempt to make aware about the investor intention towards crypto currency for the market and the economy.
{"title":"Crypto Currency: An Analysis with Financial Literacy as Moderator","authors":"H. Sharma","doi":"10.51983/ajeat-2022.11.1.3222","DOIUrl":"https://doi.org/10.51983/ajeat-2022.11.1.3222","url":null,"abstract":"This research paper provides a comprehensive overview on investment intention of subjects towards crypto currency. We hypothesise that trust, electronic word of mouth, perceived risk and moderator financial literacy are the primary reasons for the increased interest in crypto currencies. An online questionnaire was framed and data was collected from 247 respondents who are well aware about digital investments, possess basic knowledge of internet and are keen in exploring more digital avenues of investments. Data analysis was carried out through two stage structural equation modelling. The findings suggested that investment intentions are significantly influenced by trust, electronic word of mouth and perceived risk. Further, financial literacy moderated the effect of electronic word of mouth and trust on investment intention. The current paper is unique and first of its kind in India where it reflects the investment intentions of subjects towards crypto currency along with the linking of trust, electronic word of mouth, perceived risk and financial literacy as moderator. Particularly, the finding of this study is one of a unique attempt to make aware about the investor intention towards crypto currency for the market and the economy.","PeriodicalId":8524,"journal":{"name":"Asian Journal of Engineering and Applied Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83324148","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 : 2022-05-22DOI: 10.24203/ajet.v10i2.6883
T. Ikyumbur, Andrew L. Iorhom, F. Gbaorun, Simdet Akila, M. R. Agaku, Terkimbi D. Ayaakaa
The reliability of an insulating oil depends on certain basic characteristics, which can affect the overall performance of the transform. In this work, the physio-chemical characteristics and breakdown voltage of refined Soyabean oil have been analyzed. The oil characteristics such as density, viscosity, moisture content, sludge, acidity, flash point and breakdown voltage (BDV) of refined Soyabean oil (SO) were experimentally analyzed in the Laboratory. The density, viscosity, moisture content, acidity, sludge, and breakdown voltage of the SO were within the IEC standard. This shows that the refined soyabean oil could be a suitable replacement of mineral oil. The work has however, recorded a small flash point of 38oC. The researchers concluded that the characteristics of soyabean oil could be significantly improve if the oil is blended with other oils.
{"title":"Analysis of the Breakdown Voltage of Soyabean Oil as an Alternative to Mineral Oil","authors":"T. Ikyumbur, Andrew L. Iorhom, F. Gbaorun, Simdet Akila, M. R. Agaku, Terkimbi D. Ayaakaa","doi":"10.24203/ajet.v10i2.6883","DOIUrl":"https://doi.org/10.24203/ajet.v10i2.6883","url":null,"abstract":"The reliability of an insulating oil depends on certain basic characteristics, which can affect the overall performance of the transform. In this work, the physio-chemical characteristics and breakdown voltage of refined Soyabean oil have been analyzed. The oil characteristics such as density, viscosity, moisture content, sludge, acidity, flash point and breakdown voltage (BDV) of refined Soyabean oil (SO) were experimentally analyzed in the Laboratory. The density, viscosity, moisture content, acidity, sludge, and breakdown voltage of the SO were within the IEC standard. This shows that the refined soyabean oil could be a suitable replacement of mineral oil. The work has however, recorded a small flash point of 38oC. The researchers concluded that the characteristics of soyabean oil could be significantly improve if the oil is blended with other oils.","PeriodicalId":8524,"journal":{"name":"Asian Journal of Engineering and Applied Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77277682","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 : 2022-04-01DOI: 10.21831/jeatech.v3i2.43771
Muhammad Nurwidya Ardiansyah, Marifa Kurniasari, Muhammad Dzulfiqar Amien, Danang Wijaya, P. Setialana
The 2019 corona virus (Covid-19) pandemic is a global problem for now. One way to deal with the spread of the corona virus is to maintain a distance of at least one meter and stay away from crowds. Therefore, a crowd detection warning system based on a deep convolutional neural network (deep CNN) was developed using CCTV. The development of this system was carried out using the NVIDIA Jetson Nano microcontroller as the computing hardware. Crowd object detection uses the OpenCV library, the YOLOv3-Tiny algorithm, and the euclidean distance method to calculate the distance between 'person' objects. Based on the tests carried out on function and performance, the results obtained that this crowd detection warning system can detect 'person' objects with an accuracy rate of 92.79. In addition, this system has also been able to detect several types of colors from objects so that warning messages can be given more specifically on the color of the clothes of the 'person' in the detected crowd.
{"title":"Development of crowd detection warning system based on deep convolutional neural network using CCTV","authors":"Muhammad Nurwidya Ardiansyah, Marifa Kurniasari, Muhammad Dzulfiqar Amien, Danang Wijaya, P. Setialana","doi":"10.21831/jeatech.v3i2.43771","DOIUrl":"https://doi.org/10.21831/jeatech.v3i2.43771","url":null,"abstract":"The 2019 corona virus (Covid-19) pandemic is a global problem for now. One way to deal with the spread of the corona virus is to maintain a distance of at least one meter and stay away from crowds. Therefore, a crowd detection warning system based on a deep convolutional neural network (deep CNN) was developed using CCTV. The development of this system was carried out using the NVIDIA Jetson Nano microcontroller as the computing hardware. Crowd object detection uses the OpenCV library, the YOLOv3-Tiny algorithm, and the euclidean distance method to calculate the distance between 'person' objects. Based on the tests carried out on function and performance, the results obtained that this crowd detection warning system can detect 'person' objects with an accuracy rate of 92.79. In addition, this system has also been able to detect several types of colors from objects so that warning messages can be given more specifically on the color of the clothes of the 'person' in the detected crowd.","PeriodicalId":8524,"journal":{"name":"Asian Journal of Engineering and Applied Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88147697","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 : 2022-03-30DOI: 10.21831/jeatech.v3i1.42550
Bagas Habibilah, S. Widodo
This research aimed to determine the values of specific gravity, compressive strength, and modulus of concrete elasticity by replacing some fine aggregate with styrofoam. This research was done by using experimental methods in the Building Materials Laboratory, Department of Civil Engineering and Planning Education, Universitas Negeri Yogyakarta. The percentage of styrofoam addition as a partial substitute of fine aggregate was done at 0%, 15%, 30%, and 45%. Each percentage of styrofoam addition as a partial replacement of fine aggregate consisted of 3 cylindrical concrete specimens with a diameter of 150 mm and a height of 300 mm. Specific gravity testing of concrete was conducted 24 hours after concrete casting. The compressive strength and modulus of elasticity of the concrete were tested at 91 days. The results of the research showed that: (1) the specific gravity values of concrete decreased linearly with the value of 2345,83 kg/m3, 2242,45 kg/m3, 2154,88 kg/m3, and 2040,79 kg/m3, (2) the compressive strength values of concrete are 28,55 MPa, 18,52 MPa, 20,26 MPa, and 15,3 MPa, and (3) the modulus of elasticity values of concrete is 15969,61 MPa, 13395,58 MPa, 14994,2 MPa, dan 14479,03 MPa. From the test results, the optimal value at a percentage of 30% with a specific gravity value of concrete close to the lightweight concrete requirements and a compressive strength value meets the structural requirements.
{"title":"Experimental test on styrofoam waste addition as a partial substitute for fine aggregate to specific gravity, compressive strength, and modulus of concrete elasticity","authors":"Bagas Habibilah, S. Widodo","doi":"10.21831/jeatech.v3i1.42550","DOIUrl":"https://doi.org/10.21831/jeatech.v3i1.42550","url":null,"abstract":"This research aimed to determine the values of specific gravity, compressive strength, and modulus of concrete elasticity by replacing some fine aggregate with styrofoam. This research was done by using experimental methods in the Building Materials Laboratory, Department of Civil Engineering and Planning Education, Universitas Negeri Yogyakarta. The percentage of styrofoam addition as a partial substitute of fine aggregate was done at 0%, 15%, 30%, and 45%. Each percentage of styrofoam addition as a partial replacement of fine aggregate consisted of 3 cylindrical concrete specimens with a diameter of 150 mm and a height of 300 mm. Specific gravity testing of concrete was conducted 24 hours after concrete casting. The compressive strength and modulus of elasticity of the concrete were tested at 91 days. The results of the research showed that: (1) the specific gravity values of concrete decreased linearly with the value of 2345,83 kg/m3, 2242,45 kg/m3, 2154,88 kg/m3, and 2040,79 kg/m3, (2) the compressive strength values of concrete are 28,55 MPa, 18,52 MPa, 20,26 MPa, and 15,3 MPa, and (3) the modulus of elasticity values of concrete is 15969,61 MPa, 13395,58 MPa, 14994,2 MPa, dan 14479,03 MPa. From the test results, the optimal value at a percentage of 30% with a specific gravity value of concrete close to the lightweight concrete requirements and a compressive strength value meets the structural requirements.","PeriodicalId":8524,"journal":{"name":"Asian Journal of Engineering and Applied Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73759060","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}
The existence of a work from home policy does not seem to have a substantial impact on construction workers. Cases of work accidents on infrastructure projects during the Covid-19 pandemic experienced a significant increase. As reported by BPJamsostek data that the number of work accident insurance claims in the first semester (January-June) 2020 reached 108,573 cases. An increase of 128% over the same period in the previous year. One of the steps from the construction side to minimize the occurrence of work accidents is by marking dangerous locations or limiting them with a yellow line. The supervision is carried out by the Occupational Health and Safety division which supervises every worker by using hearing and sight senses. However, this supervision is deemed less effective and efficient considering the number of work accidents that continue to increase over time. Therefore, a worker location monitoring system based on An indoor positioning system called Portable Construction Maps (PCM) Using Location Fingerprint Positioning Algorithm for Construction Worker Safety was developed. The development of this system uses the algorithm Location Fingerprint as a method for estimating the location of workers in a construction building. Each worker will bring a device called the Worker Tag, in which there is a microcontroller (Espressif 32) with WiFi and Bluetooth module, which is used to capture wifi and bluetooth signals and calculate the Received signal strength indication(RSSI) which will be sent to the server to be processed using the location fingerprint algorithm. In addition, in the worker tag there is also a Passive Buzzer that is used to alert workers if they enter a dangerous area.
{"title":"Portable Construction Maps (PCM) using location fingerprint positioning algorithm for construction worker safety","authors":"Annurdien Rasyid, Ahsan Firdaus, Dwi Setiawan, Hajidah Salsabila Allissa Fitri, P. Setialana","doi":"10.21831/jeatech.v3i1.43666","DOIUrl":"https://doi.org/10.21831/jeatech.v3i1.43666","url":null,"abstract":"The existence of a work from home policy does not seem to have a substantial impact on construction workers. Cases of work accidents on infrastructure projects during the Covid-19 pandemic experienced a significant increase. As reported by BPJamsostek data that the number of work accident insurance claims in the first semester (January-June) 2020 reached 108,573 cases. An increase of 128% over the same period in the previous year. One of the steps from the construction side to minimize the occurrence of work accidents is by marking dangerous locations or limiting them with a yellow line. The supervision is carried out by the Occupational Health and Safety division which supervises every worker by using hearing and sight senses. However, this supervision is deemed less effective and efficient considering the number of work accidents that continue to increase over time. Therefore, a worker location monitoring system based on An indoor positioning system called Portable Construction Maps (PCM) Using Location Fingerprint Positioning Algorithm for Construction Worker Safety was developed. The development of this system uses the algorithm Location Fingerprint as a method for estimating the location of workers in a construction building. Each worker will bring a device called the Worker Tag, in which there is a microcontroller (Espressif 32) with WiFi and Bluetooth module, which is used to capture wifi and bluetooth signals and calculate the Received signal strength indication(RSSI) which will be sent to the server to be processed using the location fingerprint algorithm. In addition, in the worker tag there is also a Passive Buzzer that is used to alert workers if they enter a dangerous area.","PeriodicalId":8524,"journal":{"name":"Asian Journal of Engineering and Applied Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80596803","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 : 2022-03-01DOI: 10.24203/ajet.v10i1.6890
D. Christodoulou
The use of very fine cement grouts for injection into fine-to-medium sands has been proposed to circumvent problems associated with the permanence and toxicity of chemical grouts and the inability of ordinary cement grouts to permeate soil formations finer than coarse sand. A laboratory investigation was conducted in order to evaluate the penetrability of cement suspensions. Four gradations from CEM I (according to EN 197-1) type of cement were used having nominal maximum grain sizes of 100 μm, 40 μm, 20 μm and 10 μm. The properties of suspensions, with water-to-cement (W/C) ratios of 1:1, 2:1 and 3:1 by weight, were determined in terms of apparent viscosity. Penetrability was evaluated by conducting one-dimensional injections into five different, clean sands using a specially constructed device. Penetrability of cement suspensions increases with increasing water-to-cement (W/C) ratio and cement fineness. Microfine cement suspensions with water-to-cement (W/C) ratios of 2:1 and 3:1 can penetrate into medium-to-fine sands.
{"title":"The Effect of Water-to-Cement Ratio on the Penetrability of Cement Grouts: An Experimental Investigation","authors":"D. Christodoulou","doi":"10.24203/ajet.v10i1.6890","DOIUrl":"https://doi.org/10.24203/ajet.v10i1.6890","url":null,"abstract":"The use of very fine cement grouts for injection into fine-to-medium sands has been proposed to circumvent problems associated with the permanence and toxicity of chemical grouts and the inability of ordinary cement grouts to permeate soil formations finer than coarse sand. A laboratory investigation was conducted in order to evaluate the penetrability of cement suspensions. Four gradations from CEM I (according to EN 197-1) type of cement were used having nominal maximum grain sizes of 100 μm, 40 μm, 20 μm and 10 μm. The properties of suspensions, with water-to-cement (W/C) ratios of 1:1, 2:1 and 3:1 by weight, were determined in terms of apparent viscosity. Penetrability was evaluated by conducting one-dimensional injections into five different, clean sands using a specially constructed device. Penetrability of cement suspensions increases with increasing water-to-cement (W/C) ratio and cement fineness. Microfine cement suspensions with water-to-cement (W/C) ratios of 2:1 and 3:1 can penetrate into medium-to-fine sands.","PeriodicalId":8524,"journal":{"name":"Asian Journal of Engineering and Applied Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86857923","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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