{"title":"Emerging Frontiers of Public Safety: Synergizing AI and Bioengineering for Crime Prevention","authors":"Jinnifer Arroyo","doi":"10.56556/jtie.v2i3.595","DOIUrl":"https://doi.org/10.56556/jtie.v2i3.595","url":null,"abstract":"The convergence of artificial intelligence (AI) and biological engineering technology (BET) can potentially revolutionize public safety efforts. However, the responsible use of these technologies requires crucial considerations. This study employed an exploratory sequential mixed-method to examine the governance mechanisms apropos AI and BET in the context of crime prevention in the Philippines. It identifies several key components that contribute to establishing governance mechanisms, including multisectoral agencies, legislative initiatives, and regulatory frameworks. The study also identifies a 3-factor model for the governance convergence of AI and BET in public safety. These factors include empowerment and sufficiency, ethical considerations, and laws and regulations. The findings underscore the notable implications of integrating AI and BET into public safety efforts, such as improving surveillance systems, proactively preventing public health crises, and optimizing emergency response capabilities. However, ethical considerations and regulatory guidelines must be in place to address privacy concerns and mitigate potential risks associated with these technologies. The convergence of AI and BET also presents opportunities for sustainability. Nevertheless, concerns arise regarding its improper utilization. Based on the study's findings, policy recommendations are directed at ethical considerations, governance and regulation, and sustainability. These policy actions aim to address the opportunities and challenges associated with the convergence of AI and BET in public safety, ensuring responsible and beneficial use within the framework of Public Safety 4.0.","PeriodicalId":29809,"journal":{"name":"Journal of Technology Innovations and Energy","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135011286","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"An overview of the energy segment of Indonesia: present situation, prospects, and forthcoming advancements in renewable energy technology","authors":"Asif Raihan","doi":"10.56556/jtie.v2i3.599","DOIUrl":"https://doi.org/10.56556/jtie.v2i3.599","url":null,"abstract":"The rising usage of fossil fuels increases greenhouse gas (GHG) emissions, leading to global climate change. Thus, addressing global environmental challenges requires a widespread switch from fossil fuels to renewable energy. Renewable energy reduces GHG emissions, extreme weather, and climate change while boosting energy efficiency. Indonesia ranks among Asia-Pacific's top five renewable energy producers. Indonesia, a vast country with abundant natural resources, has seen a rise in renewable energy demand as consumption has increased. Thus, this study examines Indonesia's renewable and sustainable energy technologies' existing position, possibilities, and future improvements. With 420 gigawatts (GW) of theoretical renewable energy capacity, Indonesia has great potential. This capacity includes 208 GW of solar, 75 GW of hydro, 61 GW of wind, 33 GW of biofuel, 24 GW of geothermal, and 19 GW of micro-hydro. The need to increase renewable energy consumption in Indonesia is driven by environmental and economic growth laws. This review study is expected to guide future research on renewable energy technology in Indonesia. This study would guide energy-related policies, particularly renewable energy ones, to meet future demands and goals.","PeriodicalId":29809,"journal":{"name":"Journal of Technology Innovations and Energy","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135011094","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A concise review of technologies for converting forest biomass to bioenergy","authors":"A. Raihan","doi":"10.56556/jtie.v2i3.592","DOIUrl":"https://doi.org/10.56556/jtie.v2i3.592","url":null,"abstract":"The use of biomass is vital in reducing the negative effects of rising fossil fuel consumption. Given its quantity and diversity, forest biomass has garnered a lot of interest among the many kinds of biomass. This study evaluates the various strategies for transforming woody waste into usable biofuels. Carbon dioxide emissions from traditional energy generation systems could be mitigated through the direct utilization of forest biomass. Low energy conversion rates, as well as soot emissions and residues, are some of the problems that come up when directly using forest biomass. The sustainability of direct energy generation from forest biomass is also seriously threatened by the lack of constant access to biomass. Co-combustion with coal and pelletizing biomass is two solutions proposed for this issue. Co-combustion of forest biomass with coal has the potential to lower the process's emissions of carbon monoxide, nitrogen oxides, and sulfides. This article reviews and discusses the biochemical and thermochemical mechanisms that can transform forest biomass into a variety of liquid and gaseous biofuels. Future research using cutting-edge sustainability assessment tools like life cycle assessment, exergy, etc. should investigate the sustainability of forest biomass conversion processes to bioenergy further.","PeriodicalId":29809,"journal":{"name":"Journal of Technology Innovations and Energy","volume":"34 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74381077","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Addressing the Security risk of a Massive Deployment of Photovoltaic Power for Electric Power Systems","authors":"N. Kumar","doi":"10.56556/jtie.v2i3.590","DOIUrl":"https://doi.org/10.56556/jtie.v2i3.590","url":null,"abstract":"Future electric power systems will incorporate a high percentage of Photovoltaic (PV) power generation as a means of mitigating environmental issues including global warming and energy depletion. The author observes that if the increase in uncertainties brought about by the PV penetration cannot be prevented, then it will be difficult to carry out the N-1 security level. To ensure the N-1 security requirement is met despite the uncertainties, paper has suggested a new notion of \"robust power system security\" along with many conditions to be met. In this research, and offer a model of uncertainties caused by PV generation, and use robust power system security to guide our choice of parameters. Next, simulate the system to learn more about, how PV and load disconnections affect stability, and how Fault Ride Through (FRT) and Dynamic Voltage Support (DVS) influence stability. Finally, it is demonstrated that the massive penetration of PV would significantly raise the complexity of burden jobs in future power system operation planning and real-time operation.","PeriodicalId":29809,"journal":{"name":"Journal of Technology Innovations and Energy","volume":"266 9","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72392080","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A Review on Human-Robot Interaction and User Experience in Smart Robotic Wheelchairs","authors":"S. K. Sahoo, B. B. Choudhury","doi":"10.56556/jtie.v2i2.576","DOIUrl":"https://doi.org/10.56556/jtie.v2i2.576","url":null,"abstract":"This review research paper provides an analysis of the current state of Human-Robot Interaction (HRI) and User Experience (UX) in the context of smart robotic wheelchairs. It explores the advancements in HRI techniques, including multimodal interfaces, gesture recognition, voice commands, and brain-computer interfaces, and evaluates their impact on user experience factors such as usability, learnability, efficiency, and satisfaction. The paper discusses the role of artificial intelligence and machine learning in enhancing HRI capabilities and personalization of wheelchair behavior. The review highlights gaps in current research and identifies future directions to improve the immersive experience of smart wheelchair users. Overall, this comprehensive review contributes to a deeper understanding of the factors influencing user acceptance, satisfaction, and system performance, guiding the development of more intuitive and user-centered smart robotic wheelchairs for individuals with mobility impairments.","PeriodicalId":29809,"journal":{"name":"Journal of Technology Innovations and Energy","volume":"113 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72561525","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Enhancing the performance of Gravitational Water Vortex Turbine through Novel Blade Shape by Flow Simulation Analysis","authors":"Aamer Sharif¹, Adnan Aslam Noon², Riaz Muhammad³, Waqas Alam¹","doi":"10.56556/jtie.v2i2.540","DOIUrl":"https://doi.org/10.56556/jtie.v2i2.540","url":null,"abstract":"The demand for renewable energy is increasing in developing countries. Producing electricity from low-head micro-hydropower, especially using the gravitational water vortex method, attracts researchers worldwide. The present study investigates the detailed performance evaluation of single-stage Gravitational water vortex turbine assembled in a conical basin. A detailed numerical study has been conducted on five different runners' shapes. The three best runners were selected for experimentation based on the water pressure inserted on the blades. The effects of blade shape on the performance parameters of single-stage Gravitational water vortex turbine have been investigated, including rotational speed, brake torque, and mechanical efficiency. The results showed that the round-curved runner performed better at the various flow rate levels regarding rotational speed, brake torque, and mechanical efficiency. Moreover, round curved runners absorbed maximum torque, producing higher rotational speed and mechanical efficiency. The blades of the round curved runner give an efficiency of 48.02 %, while the blades of the conical J shape runner and helical runner give an efficiency of 42.17 % and 38.64 %, respectively.","PeriodicalId":29809,"journal":{"name":"Journal of Technology Innovations and Energy","volume":"64 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83922499","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}
Ashraf Muhammad, Aisha Ahmad Ishaq, Igbinovia Osaretin B, Mohammed Bello Idris
{"title":"Artificial Intelligence and Machine Learning for Real-time Energy Demand Response and Load Management","authors":"Ashraf Muhammad, Aisha Ahmad Ishaq, Igbinovia Osaretin B, Mohammed Bello Idris","doi":"10.56556/jtie.v2i2.537","DOIUrl":"https://doi.org/10.56556/jtie.v2i2.537","url":null,"abstract":"Within this compendium, an exhaustive examination is undertaken to scrutinize the intricate amalgamation of artificial intelligence (AI) and machine learning (ML) techniques within the paradigm of real-time energy demand response and load management. Placing paramount importance on the pervasive significance of AI and ML, this research expounds upon their profound capabilities to adroitly harmonize the delicate interplay between supply and demand, meticulously calibrate the multifarious dimensions of grid stability, and optimize the boundless potential inherent in renewable energy resources. An in-depth analysis ensues, encompassing the deployment of AI algorithms, poised at the vanguard of demand response optimization, and the judicious utilization of ML techniques, flawlessly calibrated to deliver unerring accuracy across varying temporal scales in the realm of load forecasting. Furthermore, the seamless integration of AI into the very fabric of intelligent appliances and Internet of Things (IoT)-enabled systems unfolds, illuminating the path towards energy consumption optimization, ascertaining an intricate tapestry of interconnected devices, and engendering an ecosystem of intelligent load management. Notably, this comprehensive exposition delves into the far-reaching implications for optimal load management and resource allocation, magnifying the transformative potential that AI-driven algorithms hold in precisely balancing energy utilization and deftly managing the intricate interdependencies that permeate load distribution. Through meticulous elucidation, this illuminating manuscript emboldens the reader with insights into the progressive advancements and myriad benefits that the tandem of AI and ML confers upon the dynamic energy sector, charting an unyielding course towards unprecedented resilience and sustainable utilization of our cherished renewable energy resources.","PeriodicalId":29809,"journal":{"name":"Journal of Technology Innovations and Energy","volume":"21 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84312244","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}
Arkar Htet, Sui Reng Liana, Theingi Aung, A. Bhaumik
{"title":"Smart Buildings in the Age of Internet Technology: Civil Engineering's Role in Shaping an Energy-Efficient Future","authors":"Arkar Htet, Sui Reng Liana, Theingi Aung, A. Bhaumik","doi":"10.56556/jtie.v2i2.535","DOIUrl":"https://doi.org/10.56556/jtie.v2i2.535","url":null,"abstract":"The integration of Internet Technology, particularly the Internet of Things (IoT), is radically transforming several sectors, including civil engineering and construction. This article scrutinizes the transformative capacity of IoT technology in formulating and deploying energy-efficient smart buildings. These innovative structures are designed for optimum efficiency, sustainability, and user experience. Various challenges and opportunities emerging within this rapidly growing domain are examined, and the future direction of smart building technology is anticipated, taking into account recent progress and innovative research. Within the context of contemporary civil engineering, this detailed analysis highlights the most recent advancements, providing valuable insights for other researchers in the field. This article contributes to the ongoing dialogue about the role of IoT in civil engineering and its potential to foster an energy-efficient future in smart building design and implementation.","PeriodicalId":29809,"journal":{"name":"Journal of Technology Innovations and Energy","volume":"176 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85959893","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}
Theingi Aung, Sui Reng Liana, Arkar Htet, Amiya Bhaumik
{"title":"Using Machine Learning to Predict Cost Overruns in Construction Projects","authors":"Theingi Aung, Sui Reng Liana, Arkar Htet, Amiya Bhaumik","doi":"10.56556/jtie.v2i2.511","DOIUrl":"https://doi.org/10.56556/jtie.v2i2.511","url":null,"abstract":"Addressing the persistent issue of cost overruns in construction projects, our study explores the potential of machine learning algorithms for accurately predicting these overruns, utilizing an expansive set of project parameters. We draw a comparison between these innovative techniques and traditional cost estimation methods, unveiling the superior predictive accuracy of machine learning approaches. This research contributes to existing literature by presenting a data-driven, reliable strategy for anticipating and managing construction costs. Our findings have significant implications for project management, offering a path towards more efficient and financially sound practices in the construction industry. The improved prediction capabilities could revolutionize cost management, facilitating better planning, risk mitigation, and stakeholder satisfaction.","PeriodicalId":29809,"journal":{"name":"Journal of Technology Innovations and Energy","volume":"56 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83926921","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}
Salisu I. Kunya, Yunusa Abdu, Mohd Kamarulzaki Mustafa, M. K. Ahmad
{"title":"The Potential of Dye Synthesize Solar Cells for Mitigation Of Carbon (Iv) Oxide Emissions","authors":"Salisu I. Kunya, Yunusa Abdu, Mohd Kamarulzaki Mustafa, M. K. Ahmad","doi":"10.56556/jtie.v2i1.487","DOIUrl":"https://doi.org/10.56556/jtie.v2i1.487","url":null,"abstract":"World is experiencing rapid commercial growth and urbanization. Carbon (IV) oxide (CO2) emissions into the atmosphere is increasing. As a result, a more effective energy policy is required. As a matter of fact, sustainable environmental quality has been identified as a critical component of long-term economic development success. Many studies have found that lower CO2 emissions are an indicator of improved environmental quality. In the future, low-cost photoelectric technologies with superior sun-to-energy power conversion efficiency, extended lifetime, and low toxicity may replace conventional silicon-based solar panels and provide effective global illumination. Dye-sensitized solar cells (DSSCs) based on the zinc oxide nanorods are capable of all the aforementioned features. Zinc-oxide (ZnO) nanostructures are important for dye synthesis solar cells, and it is a leading semiconductor that researchers are interested in. The primary objective/purpose of this resarch is to highlight impact of carbon (IV) oxide and the potential of DSSC for reducing CO2 discharges into the atmosphere. Method of ZnO NRs deposition on seed layer coated FTO Glass by Hydrothermal method was also expounded. The morphology of nanorods is presented, based on the available literature it concludes that the production of efficient DSSCs can reduce reliance on fossil fuels, which are the agent of ozone depletion layer due to green gas emissions.","PeriodicalId":29809,"journal":{"name":"Journal of Technology Innovations and Energy","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90949384","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}