Pub Date : 2024-02-28DOI: 10.30574/wjaets.2024.11.1.0024
Afra Ansaria
In December 2015, a regional electricity distribution company in Ukraine reported service outages to its customers. The outages were due to a cyber-attack on the company's computers systems and SCADA systems. Seven 110 kV and 23,335 kV substations were disconnected for many hours. Later reports suggested that additional portions of the electricity distribution grid were impacted and forced the operators to switch to manual mode. The Ukraine power grid attack of 2015 is perhaps one of the most notable cyberattacks in the ICS industry. Over a period of six months, the attackers were successfully able to launch a series of sophisticated attacks that completely disabled the power system of Ukrainian power companies. The paper discusses the sequence of attacks that led to the final failure of the Ukraine power grid. Further it will highlight the details of each attack steps taken by the attacker. This attack vector can serve as the footprint of the potential threats an organisation might face in the event of a similar attack to the organisation.
{"title":"Analysis of Ukraine power grid cyber-attack 2015","authors":"Afra Ansaria","doi":"10.30574/wjaets.2024.11.1.0024","DOIUrl":"https://doi.org/10.30574/wjaets.2024.11.1.0024","url":null,"abstract":"In December 2015, a regional electricity distribution company in Ukraine reported service outages to its customers. The outages were due to a cyber-attack on the company's computers systems and SCADA systems. Seven 110 kV and 23,335 kV substations were disconnected for many hours. Later reports suggested that additional portions of the electricity distribution grid were impacted and forced the operators to switch to manual mode. The Ukraine power grid attack of 2015 is perhaps one of the most notable cyberattacks in the ICS industry. Over a period of six months, the attackers were successfully able to launch a series of sophisticated attacks that completely disabled the power system of Ukrainian power companies. The paper discusses the sequence of attacks that led to the final failure of the Ukraine power grid. Further it will highlight the details of each attack steps taken by the attacker. This attack vector can serve as the footprint of the potential threats an organisation might face in the event of a similar attack to the organisation.","PeriodicalId":275182,"journal":{"name":"World Journal of Advanced Engineering Technology and Sciences","volume":"78 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140421240","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 : 2024-02-28DOI: 10.30574/wjaets.2024.11.1.0068
Nyelebuchi Amadichuku, Ugwunna Dickson Amadi, Abu Robin, Ndidi Uzoigwe
This work maximizes oil production from a network of gas lift wells and determines the optimal amount of lift gas with PIPESIM network optimizer. PIPESIM was used to build a couple wellbore-flowline model and its network optimizer was utilized to maximize oil production from a network of gas lifted wells. Two wells were created (Well A and B) and connected to their respective flow lines to a manifold and from the manifold to the central processing facility (CPF) represented by a sink node. A comparison of the oil production rate from Well B with and without constraint on water production rate shows that 7337.432STB/day of oil was produced without any constraints on water production while 7373.479 STB/day of oil was produced with constraint on water production and Well A, 280.6693 STB/day of oil was produced without any constraints on water production while 3.266503 STB/day of oil was produced with constraint on water production. For the injection of 4MMscf/day of gas with a constraint of 1800STB/day on water production, results reveals that a total gas lift rate of 3.723612MMscf/day was required to lift a total oil rate of 7484.669STB/day. Therefore, out of the 4MMscf/day of gas available, 3.723612MMscf/day should be allocated to the network to optimized production.
{"title":"Gas lift allocation optimization using Pipesim network optimizer","authors":"Nyelebuchi Amadichuku, Ugwunna Dickson Amadi, Abu Robin, Ndidi Uzoigwe","doi":"10.30574/wjaets.2024.11.1.0068","DOIUrl":"https://doi.org/10.30574/wjaets.2024.11.1.0068","url":null,"abstract":"This work maximizes oil production from a network of gas lift wells and determines the optimal amount of lift gas with PIPESIM network optimizer. PIPESIM was used to build a couple wellbore-flowline model and its network optimizer was utilized to maximize oil production from a network of gas lifted wells. Two wells were created (Well A and B) and connected to their respective flow lines to a manifold and from the manifold to the central processing facility (CPF) represented by a sink node. A comparison of the oil production rate from Well B with and without constraint on water production rate shows that 7337.432STB/day of oil was produced without any constraints on water production while 7373.479 STB/day of oil was produced with constraint on water production and Well A, 280.6693 STB/day of oil was produced without any constraints on water production while 3.266503 STB/day of oil was produced with constraint on water production. For the injection of 4MMscf/day of gas with a constraint of 1800STB/day on water production, results reveals that a total gas lift rate of 3.723612MMscf/day was required to lift a total oil rate of 7484.669STB/day. Therefore, out of the 4MMscf/day of gas available, 3.723612MMscf/day should be allocated to the network to optimized production.","PeriodicalId":275182,"journal":{"name":"World Journal of Advanced Engineering Technology and Sciences","volume":"88 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140423883","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 : 2024-02-28DOI: 10.30574/wjaets.2024.11.1.0063
Safae El, Safae El Gazi, Ahmed Ibrahimi
This article examines how new technologies are increasingly integrated into the teaching of French as a foreign language (FLE). The scripting of mediated tasks, which is based on sequences of structured and multimedia activities, is considered a promising approach. Technologies such as mobile apps and virtual reality offer opportunities to improve learning of French as a foreign language. The article examines the definition of mediated tasks, how new technologies can be used effectively in their design, and how this affects learners' motivation. In short, it helps to understand how learning French as a foreign language has changed in the era of new technologies.
{"title":"Scripting of mediated tasks in the learning of French as a foreign language","authors":"Safae El, Safae El Gazi, Ahmed Ibrahimi","doi":"10.30574/wjaets.2024.11.1.0063","DOIUrl":"https://doi.org/10.30574/wjaets.2024.11.1.0063","url":null,"abstract":"This article examines how new technologies are increasingly integrated into the teaching of French as a foreign language (FLE). The scripting of mediated tasks, which is based on sequences of structured and multimedia activities, is considered a promising approach. Technologies such as mobile apps and virtual reality offer opportunities to improve learning of French as a foreign language. The article examines the definition of mediated tasks, how new technologies can be used effectively in their design, and how this affects learners' motivation. In short, it helps to understand how learning French as a foreign language has changed in the era of new technologies.","PeriodicalId":275182,"journal":{"name":"World Journal of Advanced Engineering Technology and Sciences","volume":"319 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140417239","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 : 2024-02-28DOI: 10.30574/wjaets.2024.11.1.0152
Bernard Oloo Akello
Organizational information security is a critical concern in today’s interconnected and data-driven world. With the increasing frequency and sophistication of cyber threats, organizations face significant risks to the confidentiality, integrity, and availability of their sensitive information. This paper provides an overview of the key aspects and challenges related to organizational information security. It highlights the importance of implementing robust security measures, such as firewalls, intrusion detection systems, encryption technologies, and secure coding practices, to protect against external threats. It also demonstrates the need for continuous monitoring, threat intelligence sharing, and incident response capabilities to detect and respond to security incidents effectively. This survey shows importance of user awareness, training, and adherence to security policies and procedures. In addition, the significance of establishing a security-centric culture within organizations to mitigate the risk of insider threats and promote a strong security posture is discussed. The evolving threat landscape, including challenges associated with advanced persistent threats, zero-day vulnerabilities, and the security of emerging technologies such as IoT and AI are highlighted, together with the need for ongoing research and innovation to address these challenges and enhance the effectiveness of preventive measures.
{"title":"Organizational information security threats: Status and challenges","authors":"Bernard Oloo Akello","doi":"10.30574/wjaets.2024.11.1.0152","DOIUrl":"https://doi.org/10.30574/wjaets.2024.11.1.0152","url":null,"abstract":"Organizational information security is a critical concern in today’s interconnected and data-driven world. With the increasing frequency and sophistication of cyber threats, organizations face significant risks to the confidentiality, integrity, and availability of their sensitive information. This paper provides an overview of the key aspects and challenges related to organizational information security. It highlights the importance of implementing robust security measures, such as firewalls, intrusion detection systems, encryption technologies, and secure coding practices, to protect against external threats. It also demonstrates the need for continuous monitoring, threat intelligence sharing, and incident response capabilities to detect and respond to security incidents effectively. This survey shows importance of user awareness, training, and adherence to security policies and procedures. In addition, the significance of establishing a security-centric culture within organizations to mitigate the risk of insider threats and promote a strong security posture is discussed. The evolving threat landscape, including challenges associated with advanced persistent threats, zero-day vulnerabilities, and the security of emerging technologies such as IoT and AI are highlighted, together with the need for ongoing research and innovation to address these challenges and enhance the effectiveness of preventive measures.","PeriodicalId":275182,"journal":{"name":"World Journal of Advanced Engineering Technology and Sciences","volume":"11 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140418704","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 : 2024-02-28DOI: 10.30574/wjaets.2024.11.1.0067
Nyelebuchi Amadichuku, Ugwunna Dickson Amadi, Abu Robin, Ndidi Uzoigwe
Optimum acid selection based on reservoir condition is one of the key elements in achieving a successful treatment in sandstone matrix acidizing. This work will investigate the effectiveness of several type of acid in sand stone reservoir stimulation. PROSPER well modeling package was utilized for the model development. Pre- acid job analysis was carried out to establish the well performance before acidization. Acid stimulation was implemented with Hydrochloric (HCl), Formic, Acetic, Propionic and ChloroAcetic acids. Thereafter, post-job analysis was done to ascertain the improvement in well productivity index for each of the acids. Result shows that the reservoir will deliver 11296.5 STB/day of liquid into the wellbore for a production index of 3-STB/day-psi without acid stimulation and the well will produce 6726.05 STB/day of liquid. Results reveals a decrease in productivity index as the treatment acid was change from HCl acid to formic acid, acetic acid and propionic acid. A productivity index values of 3.07074STB/day-psi, 3.0375 STB/day-psi, 3.01038 STB/day-psi, 3.00791 STB/day-psi were obtained when the formation was acidized with HCl acid, formic acid, acetic acid and propionic acid. A percentage increase of 15.1973%, 7.5731%, 1.95684% and 1.47001% in permeability was observed as the formation was treated with HCl acid, formic acid, Acetic acid and Propionic acid. Results reveals that HCl acid resulted in highest permeability increase. It was therefore concluded that the formation should be acidized with HCl acid since it gave the highest productivity index, percentage increase in permeability, porosity and the highest improvement in skin factor.
{"title":"Evaluation of the performance of acids for effective stimulation of a sandstone formation","authors":"Nyelebuchi Amadichuku, Ugwunna Dickson Amadi, Abu Robin, Ndidi Uzoigwe","doi":"10.30574/wjaets.2024.11.1.0067","DOIUrl":"https://doi.org/10.30574/wjaets.2024.11.1.0067","url":null,"abstract":"Optimum acid selection based on reservoir condition is one of the key elements in achieving a successful treatment in sandstone matrix acidizing. This work will investigate the effectiveness of several type of acid in sand stone reservoir stimulation. PROSPER well modeling package was utilized for the model development. Pre- acid job analysis was carried out to establish the well performance before acidization. Acid stimulation was implemented with Hydrochloric (HCl), Formic, Acetic, Propionic and ChloroAcetic acids. Thereafter, post-job analysis was done to ascertain the improvement in well productivity index for each of the acids. Result shows that the reservoir will deliver 11296.5 STB/day of liquid into the wellbore for a production index of 3-STB/day-psi without acid stimulation and the well will produce 6726.05 STB/day of liquid. Results reveals a decrease in productivity index as the treatment acid was change from HCl acid to formic acid, acetic acid and propionic acid. A productivity index values of 3.07074STB/day-psi, 3.0375 STB/day-psi, 3.01038 STB/day-psi, 3.00791 STB/day-psi were obtained when the formation was acidized with HCl acid, formic acid, acetic acid and propionic acid. A percentage increase of 15.1973%, 7.5731%, 1.95684% and 1.47001% in permeability was observed as the formation was treated with HCl acid, formic acid, Acetic acid and Propionic acid. Results reveals that HCl acid resulted in highest permeability increase. It was therefore concluded that the formation should be acidized with HCl acid since it gave the highest productivity index, percentage increase in permeability, porosity and the highest improvement in skin factor.","PeriodicalId":275182,"journal":{"name":"World Journal of Advanced Engineering Technology and Sciences","volume":"47 24","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140419137","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 : 2024-02-28DOI: 10.30574/wjaets.2024.11.1.0038
Mustafa Çalışkan, Kenan Türkeri, Mehmet Ali Dağdeviren
Diabetes is one of the common health problems encountered today, and this problem is increasing day by day due to unbalanced and unconscious eating habits. Once a person is diagnosed with diabetes, the likelihood of recovery from this disease is often low. If a person is diagnosed with diabetes, the individual must usually take medication and/or follow a strict diet program for life. While this may be somewhat more manageable for patients living in developed countries, it is often difficult for citizens in developing countries to access these facilities. Because it is generally more difficult and costly to access medicine and healthy nutrition in these countries. Therefore, in this study, ways to diagnose diabetes at an early stage using machine learning techniques are examined. In the study, symptoms such as age, gender, polyuria, polydipsia, sudden weight loss, weakness, polyphagia, genital fungus, blurred vision, itching, irritability, delayed healing, partial paralysis, cramps, hair loss and obesity are examined and which parameters were more effective in diagnosing diabetes.
{"title":"Comparison of feature reduction and feature selection in early diabetes classification","authors":"Mustafa Çalışkan, Kenan Türkeri, Mehmet Ali Dağdeviren","doi":"10.30574/wjaets.2024.11.1.0038","DOIUrl":"https://doi.org/10.30574/wjaets.2024.11.1.0038","url":null,"abstract":"Diabetes is one of the common health problems encountered today, and this problem is increasing day by day due to unbalanced and unconscious eating habits. Once a person is diagnosed with diabetes, the likelihood of recovery from this disease is often low. If a person is diagnosed with diabetes, the individual must usually take medication and/or follow a strict diet program for life. While this may be somewhat more manageable for patients living in developed countries, it is often difficult for citizens in developing countries to access these facilities. Because it is generally more difficult and costly to access medicine and healthy nutrition in these countries. Therefore, in this study, ways to diagnose diabetes at an early stage using machine learning techniques are examined. In the study, symptoms such as age, gender, polyuria, polydipsia, sudden weight loss, weakness, polyphagia, genital fungus, blurred vision, itching, irritability, delayed healing, partial paralysis, cramps, hair loss and obesity are examined and which parameters were more effective in diagnosing diabetes.","PeriodicalId":275182,"journal":{"name":"World Journal of Advanced Engineering Technology and Sciences","volume":"285 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140421594","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 : 2024-02-28DOI: 10.30574/wjaets.2024.11.1.0050
Ida Bagus, I. B. Alit, I. Made
This research aims to convert plastic waste, especially plastic cups for packaging mineral water, into fuel oil through a pyrolysis process. The experimental method used is with the following stages: first, 1kg of plastic raw material is chopped before being put into a pyrolysis tube. Next, the tube is heated to change the plastic into a liquid form which then evaporates. The hot steam from this plastic is channeled to a heat exchanger to be condensed. Cooling is carried out using water flowing in the opposite direction to the direction of the steam. The results of plastic vapor condensation are collected to analyze their physical and chemical properties. Testing of physical and chemical properties includes specific gravity, heating value, kinematic viscosity, flash point, ash, lead and sulfur content. The result is that fuel from plastic bottle waste has a density value of 742 kg/m3, kinematic viscosity of 1.76 cSt, lower heating value of 43.28 MJ/kg, flash point of 1OC, ash, lead and sulfur content respectively of 0.003905%, 0.0000231%, and 0.000462%.
{"title":"Characteristics physical and chemical properties of fuel from plastic waste for mineral water glasses","authors":"Ida Bagus, I. B. Alit, I. Made","doi":"10.30574/wjaets.2024.11.1.0050","DOIUrl":"https://doi.org/10.30574/wjaets.2024.11.1.0050","url":null,"abstract":"This research aims to convert plastic waste, especially plastic cups for packaging mineral water, into fuel oil through a pyrolysis process. The experimental method used is with the following stages: first, 1kg of plastic raw material is chopped before being put into a pyrolysis tube. Next, the tube is heated to change the plastic into a liquid form which then evaporates. The hot steam from this plastic is channeled to a heat exchanger to be condensed. Cooling is carried out using water flowing in the opposite direction to the direction of the steam. The results of plastic vapor condensation are collected to analyze their physical and chemical properties. Testing of physical and chemical properties includes specific gravity, heating value, kinematic viscosity, flash point, ash, lead and sulfur content. The result is that fuel from plastic bottle waste has a density value of 742 kg/m3, kinematic viscosity of 1.76 cSt, lower heating value of 43.28 MJ/kg, flash point of 1OC, ash, lead and sulfur content respectively of 0.003905%, 0.0000231%, and 0.000462%.","PeriodicalId":275182,"journal":{"name":"World Journal of Advanced Engineering Technology and Sciences","volume":"50 8","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140422089","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 : 2024-02-28DOI: 10.30574/wjaets.2024.11.1.0055
Haris Haskić, Amina Radončić
The progression of telecommunications, starting from the inception of 1G networks in 1979 to the advent of 5G technology in 2019, represents a significant journey of advancement for humanity. As we approach the era of 5G, characterized by heightened machine-to-machine connectivity and transformative applications in AI, IoT, and cloud computing, it becomes imperative to acknowledge and address concerns regarding its potential impacts on health and the environment. Utilizing machine learning algorithms, particularly implemented in Python for this research, provides a potent approach to analyzing intricate datasets concerning 5G signals and their potential correlations with healthcare outcomes. After carefully cleaning and preparing the data and conducting linear regression analysis, uncovered evidence backing the notion that 5G antennas emit greater levels of radiation compared to 4G antennas emerged - a fact often concealed by corporations. Despite relying on a restricted dataset, the results emphasize the necessity for more accurate data to improve model precision. Ongoing research endeavors are vital to alleviate public anxieties regarding 5G technology, thereby fostering trust and bolstering awareness on a wider front.
{"title":"The effects of 5G network on people and the environment: A machine learning approach to the comprehensive analysis","authors":"Haris Haskić, Amina Radončić","doi":"10.30574/wjaets.2024.11.1.0055","DOIUrl":"https://doi.org/10.30574/wjaets.2024.11.1.0055","url":null,"abstract":"The progression of telecommunications, starting from the inception of 1G networks in 1979 to the advent of 5G technology in 2019, represents a significant journey of advancement for humanity. As we approach the era of 5G, characterized by heightened machine-to-machine connectivity and transformative applications in AI, IoT, and cloud computing, it becomes imperative to acknowledge and address concerns regarding its potential impacts on health and the environment. Utilizing machine learning algorithms, particularly implemented in Python for this research, provides a potent approach to analyzing intricate datasets concerning 5G signals and their potential correlations with healthcare outcomes. After carefully cleaning and preparing the data and conducting linear regression analysis, uncovered evidence backing the notion that 5G antennas emit greater levels of radiation compared to 4G antennas emerged - a fact often concealed by corporations. Despite relying on a restricted dataset, the results emphasize the necessity for more accurate data to improve model precision. Ongoing research endeavors are vital to alleviate public anxieties regarding 5G technology, thereby fostering trust and bolstering awareness on a wider front.","PeriodicalId":275182,"journal":{"name":"World Journal of Advanced Engineering Technology and Sciences","volume":"89 13","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140423841","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 : 2024-02-28DOI: 10.30574/wjaets.2024.11.1.0035
Idoko Peter Idoko, Onuh Matthew Ijiga, Daniel Obekpa Agbo, Ehi Peace Abutu, Chijioke Ifakandu Ezebuka, Esther Ene Umama
This paper presents a comprehensive comparative analysis of the Internet of Things (IoT) implementation in Ghana and the USA, focusing on their respective visions, architectural elements, and future directions. The study begins with an introduction to IoT's significance in modern society, followed by a detailed methodology outlining the research design, data collection methods, and criteria for comparative analysis. The findings reveal distinct approaches to IoT implementation in Ghana and the USA, reflecting varying levels of technological infrastructure, economic impact, and societal influence. The analysis delves into the comparative aspects of IoT vision, including strategic goals and technological advancements, and examines the architectural elements such as hardware, software, network solutions, and data management. The paper also addresses the challenges and barriers in IoT implementation, highlighting technical, policy, and economic constraints. Furthermore, it explores emerging trends, opportunities, and recommendations for future IoT development, providing final thoughts on the trajectories of IoT in both countries. This study contributes to the understanding of IoT's role in different national contexts and offers valuable insights for future IoT initiatives and policies.
{"title":"Comparative analysis of Internet of Things (IOT) implementation: A case study of Ghana and the USA - vision, architectural elements, and future directions","authors":"Idoko Peter Idoko, Onuh Matthew Ijiga, Daniel Obekpa Agbo, Ehi Peace Abutu, Chijioke Ifakandu Ezebuka, Esther Ene Umama","doi":"10.30574/wjaets.2024.11.1.0035","DOIUrl":"https://doi.org/10.30574/wjaets.2024.11.1.0035","url":null,"abstract":"This paper presents a comprehensive comparative analysis of the Internet of Things (IoT) implementation in Ghana and the USA, focusing on their respective visions, architectural elements, and future directions. The study begins with an introduction to IoT's significance in modern society, followed by a detailed methodology outlining the research design, data collection methods, and criteria for comparative analysis. The findings reveal distinct approaches to IoT implementation in Ghana and the USA, reflecting varying levels of technological infrastructure, economic impact, and societal influence. The analysis delves into the comparative aspects of IoT vision, including strategic goals and technological advancements, and examines the architectural elements such as hardware, software, network solutions, and data management. The paper also addresses the challenges and barriers in IoT implementation, highlighting technical, policy, and economic constraints. Furthermore, it explores emerging trends, opportunities, and recommendations for future IoT development, providing final thoughts on the trajectories of IoT in both countries. This study contributes to the understanding of IoT's role in different national contexts and offers valuable insights for future IoT initiatives and policies.","PeriodicalId":275182,"journal":{"name":"World Journal of Advanced Engineering Technology and Sciences","volume":"208 1‐2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140417641","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 : 2024-02-28DOI: 10.30574/wjaets.2024.11.1.0039
Asriadi Adri, Aqli Mursadin
Background: User satisfaction is an essential indicator in assessing the quality of construction services. A deep understanding of the factors contributing to user satisfaction is crucial, especially in the context of electrical projects. Objective: This study aims to examine the satisfaction level of PT PLN (Persero) UIP West Kalimantan towards the performance of electrical project contractors and to develop strategies for improving contractor performance based on the findings. Methods: This research adopts an observational approach using Descriptive Analysis. A survey employing questionnaires was designed and distributed to employees of PT PLN (Persero) UIP West Kalimantan. Data analysis was conducted using the Customer Satisfaction Index (CSI) and Importance Performance Analysis (IPA) to identify key performance indicators. Results: The study indicates a high level of satisfaction from PT PLN (Persero) UIP West Kalimantan towards the contractor's performance, with a CSI value of 70% within a 95% confidence interval (66%-81%). The IPA analysis revealed 12 performance indicators within the 'concentrate here' quadrant, indicating priority areas for improvement. Conclusion: These findings affirm the effectiveness of the strategies and management implemented by contractors in achieving user satisfaction. This study provides valuable insights for other contractors in the construction sector to enhance service quality, especially through improvements in project managerial recruitment strategies, support for work equipment, and collaborative strategies with banking institutions for project financing.
{"title":"Assessing user satisfaction in construction services: Analyzing contractor performance in central Kalimantan’s power projects","authors":"Asriadi Adri, Aqli Mursadin","doi":"10.30574/wjaets.2024.11.1.0039","DOIUrl":"https://doi.org/10.30574/wjaets.2024.11.1.0039","url":null,"abstract":"Background: User satisfaction is an essential indicator in assessing the quality of construction services. A deep understanding of the factors contributing to user satisfaction is crucial, especially in the context of electrical projects. Objective: This study aims to examine the satisfaction level of PT PLN (Persero) UIP West Kalimantan towards the performance of electrical project contractors and to develop strategies for improving contractor performance based on the findings. Methods: This research adopts an observational approach using Descriptive Analysis. A survey employing questionnaires was designed and distributed to employees of PT PLN (Persero) UIP West Kalimantan. Data analysis was conducted using the Customer Satisfaction Index (CSI) and Importance Performance Analysis (IPA) to identify key performance indicators. Results: The study indicates a high level of satisfaction from PT PLN (Persero) UIP West Kalimantan towards the contractor's performance, with a CSI value of 70% within a 95% confidence interval (66%-81%). The IPA analysis revealed 12 performance indicators within the 'concentrate here' quadrant, indicating priority areas for improvement. Conclusion: These findings affirm the effectiveness of the strategies and management implemented by contractors in achieving user satisfaction. This study provides valuable insights for other contractors in the construction sector to enhance service quality, especially through improvements in project managerial recruitment strategies, support for work equipment, and collaborative strategies with banking institutions for project financing.","PeriodicalId":275182,"journal":{"name":"World Journal of Advanced Engineering Technology and Sciences","volume":"18 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140419307","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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