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Articles 4591 - 4620 of 27389
Full-Text Articles in Engineering
Artificial Intelligence Logging: Fundamental, Principle, Technique, And Application, Cheng Xi, Ren Zhanli
Artificial Intelligence Logging: Fundamental, Principle, Technique, And Application, Cheng Xi, Ren Zhanli
Coal Geology & Exploration
Background Intelligent hydrocarbon exploration and exploitation have become a trend and hot research topic in the oil and gas industry. Artificial intelligence logging (AIL) exhibits considerable potential to address challenges in the explore-exploit of unconventional hydrocarbon resources, as well as resources in complex environments in the deep earth and deep ocean. However, the driving mode, fundamental, implementation principle, structure, and application scenarios of AIL remain understudied. Objective and Methods To build a comprehensive ecology of the AIL system and thoroughly explore and reveal the potential and value of AIL, this study employed methods like literature analysis, theoretical research, technical analysis, …
A Non-Uniform Interpolation Method For Seismic Data Based On A Diffusion Probabilistic Model, Chen Yao, Yu Siwei, Lin Rongzhi
A Non-Uniform Interpolation Method For Seismic Data Based On A Diffusion Probabilistic Model, Chen Yao, Yu Siwei, Lin Rongzhi
Coal Geology & Exploration
Objective The non-uniform interpolation of seismic data is identified as a prolonged challenge in energy exploration. Since geophones cannot be precisely placed at positions corresponding to theoretical grid points, current uniform interpolation techniques frequently suffer deviations and detail distortion. Methods This study proposed a novel non-uniform interpolation method based on a diffusion probabilistic model, which is an emerging generative model in deep learning that involves the diffusion and generation processes. In the diffusion process, noise is added to the complete seismic data iteratively to train the denoising capability of the neural network. In the generation process, the neural network is …
A Petrophysical Modeling-Guided Method For Predicting Parameters Of Low-Permeability Reservoirs, Wang Rui, Li Fang, Liu Shiyou, Sun Wanyuan, Li Songling, Huang Sheng
A Petrophysical Modeling-Guided Method For Predicting Parameters Of Low-Permeability Reservoirs, Wang Rui, Li Fang, Liu Shiyou, Sun Wanyuan, Li Songling, Huang Sheng
Coal Geology & Exploration
Backgroud Accurately predicting reservoir parameters is significant for characterizing subsurface reservoirs, establishing gas accumulation patterns, releasing production capacity, and understanding fluid migration. The traditional approaches based on core measurement or mathematical-petrophysical modeling are limited by the strong multiplicity of solutions and low accuracy of elastic parameters inversion results, making it difficult to meet the demands of modern exploration.Objective and Methods To more effectively predict reservoir parameters, this study proposed a petrophysical modeling-guided method for predicting parameters of low-permeability reservoirs. With the convolutional neural network (CNN) as a deep learning framework, the proposed method can predict water saturation, clay content, …
Processing Of Impulse Noise In Magnetotelluric Data Based On Bidirectional Recurrent Imputation, Yang Kai, Liu Cheng, Li Han, He Jinglong
Processing Of Impulse Noise In Magnetotelluric Data Based On Bidirectional Recurrent Imputation, Yang Kai, Liu Cheng, Li Han, He Jinglong
Coal Geology & Exploration
Objective Magnetotelluric sounding is an exploration method to obtain the underground electrical structure by observing the natural electromagnetic field, which is easily disturbed by noise. Impulse noise, frequently occurring in magnetotelluric sounding, generally exhibits high amplitude and wide frequency bands, producing significant impacts on the data quality. Methods To suppress such noise, this study proposed a method based on a bidirectional recurrent imputation for time series (BRITS) model. First, the data segments with noise interference were deleted. Second, for the magnetotelluric time series with missing data to be imputed, training sets were constructed for imputation training of the BRITS model. …
Structure Optimization Of Foam Generator For Soft Coal Seam And Foaming Effect Simulation, Jin Xin
Structure Optimization Of Foam Generator For Soft Coal Seam And Foaming Effect Simulation, Jin Xin
Coal Geology & Exploration
Objective The application of air screw drilling technology in gas drainage borehole within soft coal seam presents challenges, including severe dust pollution, low drill bit lifespan, and great difficulty in borehole purification. The use of air screw foam drilling technology is an effective way to solve the problem. A foam generator with good foaming performance is one of the keys to implementing the foam drilling technology. However, most current foam generators could not meet the requirements. Methods In response to this issue, a small-sized foam generator was designed based on the spiral foam generator, with an air kinetic energy conversion …
Periodic Roof Deformation And Failure And Associated Water Inflow Characteristics During The Mining Of Typical Coal Seams In The Inner Mongolia-Shaanxi Contiguous Area, Zhou Zhenfang, Dong Shuning, Dong Yang, Luo Shenghu, Xue Jiankun, Wang Zhizhou, Wang Shuxuan, Shang Hongbo, Wang Tiantian, Wang Yutong, Wang Tong
Periodic Roof Deformation And Failure And Associated Water Inflow Characteristics During The Mining Of Typical Coal Seams In The Inner Mongolia-Shaanxi Contiguous Area, Zhou Zhenfang, Dong Shuning, Dong Yang, Luo Shenghu, Xue Jiankun, Wang Zhizhou, Wang Shuxuan, Shang Hongbo, Wang Tiantian, Wang Yutong, Wang Tong
Coal Geology & Exploration
[Objective] The disturbance of coal mine mining damages the aquifer/aquiclude structures of the overburden, causing concentrated water inflow and further affecting safe production in mines. [Methods] Using methods of the physical simulation of similar materials, numerical simulation, and on-site in situ monitoring, this study investigated the water inflow during the mining of the dominant 3-1 coal seam, typically influenced by water in sandstones on the coal seam roof, in the Inner Mongolia-Shaanxi contiguous area. By comparing the measured data of mines with similar geological and mining conditions in the surrounding area, this study delved into the periodic evolutionary patterns of …
Mechanical Characteristics And Fracture Propagation Mechanism Of Deep Coal Reservoirs In The Shenfu Block, Mi Honggang, Wu Jian, Peng Wenchun, Xu Lifu, Li Yong
Mechanical Characteristics And Fracture Propagation Mechanism Of Deep Coal Reservoirs In The Shenfu Block, Mi Honggang, Wu Jian, Peng Wenchun, Xu Lifu, Li Yong
Coal Geology & Exploration
[Objective] Clarifying the mechanical properties and in-situ stress distributions of coal seams, along with the mechanisms behind their control over the morphologies and propagation behavior of artificially induced fractures, is crucial to the fracturing design, well pattern deployment, and coalbed methane (CBM) production of deep coal seams. [Methods] This study investigated the Nos. 8 and 9 coal seams of the Taiyuan Formation in the Shenfu block in the northern portion of the eastern margin of the Ordos Basin. Using data from sonic logging, density logging, injection/falloff well tests, and production, this study systematically analyzed the mechanical …
Technology For Efficient Production Of Deep Coalbed Methane In The Shenfu Block, Li Bin, Yang Fan, Zhang Hongjie, Feng Lei, An Qi, Hao Zhaobing
Technology For Efficient Production Of Deep Coalbed Methane In The Shenfu Block, Li Bin, Yang Fan, Zhang Hongjie, Feng Lei, An Qi, Hao Zhaobing
Coal Geology & Exploration
Objective Deep coalbed methane (CBM), representing one crucial resource successor for ensuring the oil and gas security of China and achieving peak carbon dioxide emissions and carbon neutrality of the country, exhibits broad prospects for production. However, due to the small low universality of CBM production technologies under varying geological conditions, a technology that has been successfully applied in some blocks cannot be directly extended to other blocks. This leads to blind deployment of well types and well patterns in the early-stage exploration and development of new blocks to a certain extent. Given this, it is necessary to develop a …
Pore Structure And Differential Fluid Occurrence Of Deep Coal Seams, Wu Jian, Sun Qiang, Shi Xuefeng, Gao Lijun
Pore Structure And Differential Fluid Occurrence Of Deep Coal Seams, Wu Jian, Sun Qiang, Shi Xuefeng, Gao Lijun
Coal Geology & Exploration
Objective Breakthroughs have been achieved in deep coalbed methane (CBM) exploration along the eastern margin of the Ordos Basin, exhibiting the characteristics of local breakthroughs but regional differential CBM production in multiple blocks. The pores and fractures in deep coal reservoirs, serving as the material spaces for fluid occurrence and occurrence, are critical to the differential development across deep CBM blocks. Methods In this study, coal samples were collected systematically from the deep part of the Shenfu block located along the eastern margin of the Ordos Basin. Using conventional tests on porosity, permeability, and physical properties, as well as CO …
Characteristics And Transformations Of Mineral Phases In Burnt Rocks, Yalikun Rexiti, Huang Lei, Yang Fan, Xue Xiaoyuan, Song Shijun, Hu Jian, Zhang Zeyu, Ji Zhongkui
Characteristics And Transformations Of Mineral Phases In Burnt Rocks, Yalikun Rexiti, Huang Lei, Yang Fan, Xue Xiaoyuan, Song Shijun, Hu Jian, Zhang Zeyu, Ji Zhongkui
Coal Geology & Exploration
Objective Burnt rocks are special rocks formed by the surrounding rocks that are baked due to the spontaneous combustion of coal seams. They are extensively distributed in the Yan’an Formation on the northeastern margin of the Ordos Basin. However, the characteristics and formation mechanisms of burning-associated mineral phases in these rocks remain unclear. Methods This study conducted analytical tests and high-temperature heating simulations of protolith to analyze the mineral phases of underground burnt rocks in the Zhangjiamao Coal Mine, Shaanxi Province. Results and Conclusions The results indicate that the underground burnt rocks exhibit enrichment in mafic components, abnormal migration of …
Seismic Data Denoising Based On The Convolutional Neural Network With An Attention Mechanism In The Curvelet Domain, Bao Qianzong, Zhou Mei, Qiu Yi
Seismic Data Denoising Based On The Convolutional Neural Network With An Attention Mechanism In The Curvelet Domain, Bao Qianzong, Zhou Mei, Qiu Yi
Coal Geology & Exploration
[Objective] Noise in seismic data significantly affects the accurate interpretation of subsurface stratigraphic information. Given that effective signals with pronounced lateral correlations in seismic data are distributed in specific coefficients but random noise typically spreads uniformly over all coefficients in the curvelet domain, more effective separation of signals can be achieved. [Methods] The convolutional neural network based on the attention mechanism can adaptively extract key information by focusing on important features of images. Hence, this study proposed a noise attenuation method for seismic data using a convolutional neural network based on the curvelet transform and attention mechanism (Curvelet-AU-Net). First, the …
Characteristics Of Gas Bursting And Application Of Layered Cutting Drilling In Outburst Coal Seam, Wang Yonglong, Zhao Aoqi, Yu Zaijiang, Wang Zhenfeng, Liu Xiao, Ma Denghui, Zhang Hui, Liu Chun
Characteristics Of Gas Bursting And Application Of Layered Cutting Drilling In Outburst Coal Seam, Wang Yonglong, Zhao Aoqi, Yu Zaijiang, Wang Zhenfeng, Liu Xiao, Ma Denghui, Zhang Hui, Liu Chun
Coal Geology & Exploration
Objective The overlimit gas bursting in the drilling process of outburst coal seam is a safety hazard that threatens the efficient production of the mine. The layered cutting drilling method helps to weaken the burst gas pressure in the borehole, but the characteristics of gas release around the trapezoidal borehole formed by layered cutting are unknown, which limits the structural design and application effect of the layered cutting drilling tool. Methods Herein, study was conducted based on the layered cutting boreholes with different layer spacing and layer thickness difference. Specifically, a mathematical model was established to analyze the gas flow …
Urban Heat Island Effects And Sustainable Mitigation Strategies In Urban Areas: Case Study Jakarta City, Hayder Riyadh Mohammed Al-Agele, Mohamad Fakri Zaky Jaafar, Mohd Fairuz Shahidan
Urban Heat Island Effects And Sustainable Mitigation Strategies In Urban Areas: Case Study Jakarta City, Hayder Riyadh Mohammed Al-Agele, Mohamad Fakri Zaky Jaafar, Mohd Fairuz Shahidan
AUIQ Technical Engineering Science
The overabundance of suburbs planned and built on greenfield grounds formerly classified as green-belt property is the consequence of ineffective urban development limits. It would be unnecessary to further intrude onto precious greenfield property, which is vital for future recreational, biodiversity, forestry, agricultural, and food supply needs. Controlling the growth of developed land, prohibiting the construction of tall buildings close to the shore, and establishing green open spaces with an emphasis on areas with elevated surface temperatures are the adaptation strategies for reducing Jakarta's urban heat island phenomenon. Urban population growth contributes to increased carbon dioxide emissions, which exacerbates climate …
The Employment Of Filters In Electrocardiogram Signal Processing And Their Applications, Homam Hassan Jassim, Dhuha Abdelabbas Kadim, Ahmed Abdelhadi, Taif Alawsi
The Employment Of Filters In Electrocardiogram Signal Processing And Their Applications, Homam Hassan Jassim, Dhuha Abdelabbas Kadim, Ahmed Abdelhadi, Taif Alawsi
AUIQ Technical Engineering Science
Filters are essential tools in the field of signal processing, they have been employed to control the signals and reduce or eliminate the noise associated with the signal. In this article, we will show the importance of filters in signal processing, especially in the field of biomedical engineering. As these filters will be applied to filter and remove noise from the electrocardiogram (ECG) signal, we will learn about some of the filters in this article.
Control Of A Robotic Leg Based On An Adaptive Optimized Fuzzy Algorithm, Adnan Hussein Hasan, Mohammed Ayad Saad
Control Of A Robotic Leg Based On An Adaptive Optimized Fuzzy Algorithm, Adnan Hussein Hasan, Mohammed Ayad Saad
AUIQ Technical Engineering Science
The goal of our investigation is to create a way of directing a robotic limb that is based on an adaptive optimum fuzzy algorithm, as is clear from the study's title. To create an adaptive fuzzy controller for a robotic limb is the goal of this project. By joining the robotic leg to the human foot, it is possible to increase load-bearing capacity and make up for limitations brought on by injury, ageing, etc. Consider a 3R planar open chain for the leg. Rotating actuators supplied by a fundamental control system are used to regulate the robot joints' motion in …
A Comprehensive Review For The Dams Site Selection Based On Multi-Criteria: Assessment And~Evaluation, Abdirizak Dirie, Mehdi Jamei, Sadeq Oleiwisulaiman
A Comprehensive Review For The Dams Site Selection Based On Multi-Criteria: Assessment And~Evaluation, Abdirizak Dirie, Mehdi Jamei, Sadeq Oleiwisulaiman
AUIQ Technical Engineering Science
The watershed dams water harvesting establishment is a complex decision-making process due to the existence of several critical factors on which the project is based adopted. Such complexity renders consideration for the priority scale of development, especially when the project considers several possible sites against a plethora of criteria. These criteria may be of a technical, economic, social, cultural, environmental, legal, and political nature, thereby increasing the complexity of the framework under which the decision has to be made. Appropriate solutions for the challenge have to consider Multi-Criteria Decision-Making (MCDM) approaches. MCDM is defined as an organized approach to decision-making …
Global Insights Into Check Dam Utilization: Elevating Water Management, Erosion Mitigation, And Ecological Health, Farah Loui Alhalimi, Salah Elsayed, Gebre Gelete, Suraj Kumar Bhagat, Nabil Al-Areeq, Biswarup Rana, Vahdettin Demir, Salah Eddine Tachi
Global Insights Into Check Dam Utilization: Elevating Water Management, Erosion Mitigation, And Ecological Health, Farah Loui Alhalimi, Salah Elsayed, Gebre Gelete, Suraj Kumar Bhagat, Nabil Al-Areeq, Biswarup Rana, Vahdettin Demir, Salah Eddine Tachi
AUIQ Technical Engineering Science
The establishment of check dams is considered an essential component of watershed management and sustainability, as these structures have many purposes. This review study provides an overview of check dams uses using field-based data from all around the world. As a result of more than two decades of research work, check dams are built to manage sediment accumulation and soil erosion, lower upstream reach slopes, stabilize torrents, and control floods in a successful and efficient way. However, some of these researches showed that some projects had unsatisfactory outcomes. The failure of these projects was for many reasons including poor building …
Video Steganography Based On Sine Chaotic Map And Hamming Code, Marwa M Naji, Ahmad T Abdulsadda, Salim Muhsin Wadi
Video Steganography Based On Sine Chaotic Map And Hamming Code, Marwa M Naji, Ahmad T Abdulsadda, Salim Muhsin Wadi
AUIQ Technical Engineering Science
With the increase in internet usage, data exchange happens at a higher pace, but with this comes the risk of security breaches. Hackers often target data exchange, making security a top priority. To address this issue, steganography has proven to be an effective solution. It involves concealing confidential data behind seemingly innocuous cover files, making it less likely to be detected. In a recent paper, the use of Sine chaotic map was proposed as a way to enhance security. Chaotic maps are sensitive to initial values, non-linear, and non-periodic, making them ideal for encryption. The proposed method involves using a …
Facial Expression Recognition And Classification For Autism Spectrum Disorder Based On Sdft Images Using Deep Learning, Sameer Hameed Abdulshahed, Ahmad Taha Abdulsadda
Facial Expression Recognition And Classification For Autism Spectrum Disorder Based On Sdft Images Using Deep Learning, Sameer Hameed Abdulshahed, Ahmad Taha Abdulsadda
AUIQ Technical Engineering Science
Autism spectrum disorder (ASD) is a prevalent condition in childhood, affecting around 1 in 44 individuals. Approximately 53% of children with ASD exhibit one or more challenging behaviors (CBs), which include aggression, self-injury, property destruction, elopement, and more. This percentage is significantly higher compared to their typically developing peers or those with other developmental disorders. Cognitive-behavioral therapy (CB) has numerous detrimental effects on the individual, all of which are linked to an unfavorable long-term result. When it comes to caregivers of children with ASD, the presence of Challenging Behaviors (CB) is a more dependable indicator of stress than the intensity …
Metabolite Biomarker Discovery For Lung Cancer Using Machine Learning, Ariski Fajarido, Linda Erlina, Aryo Tedjo, Fadilah Fadilah, Wawaimuli Arozal
Metabolite Biomarker Discovery For Lung Cancer Using Machine Learning, Ariski Fajarido, Linda Erlina, Aryo Tedjo, Fadilah Fadilah, Wawaimuli Arozal
Indonesian Journal of Medical Chemistry and Bioinformatics
Lung cancer is the leading cause of cancer death worldwide. About 2.1 million lung cancer patients were diagnosed in 2018, accounting for about 11.6% of all newly diagnosed cancer cases. For lung cancer, blood is the first choice as a source of screening biomarker candidates. Blood biomarkers provide a snapshot of the patient's entire body, including the primary tumor, metastatic disease, immune response, and peritumoral stroma. However, sputum sampling, bronchial lavage or aspiration, exhaled breath (EB), and airway epithelial sampling represent unique samples for lung cancer and other airway cancers as potential sources for alternative biomarkers. Metabolites are products of …
Analysis Of The Factors Affecting The Oil Recovery From Oilseeds In A Multistage Crosscurrent Leaching Process, Samuel V. Manyele
Analysis Of The Factors Affecting The Oil Recovery From Oilseeds In A Multistage Crosscurrent Leaching Process, Samuel V. Manyele
Tanzania Journal of Engineering and Technology (TJET)
The analysis of the total oil recovery from oilseeds in a multi-stage crosscurrent leaching process is presented. The model created using mass balance equations for three stages was used to analyze the factors affecting total oil recovery, To. The key performance factors (raw meal feed flow rate, solvent feed flow rate in each stage, solvent distribution factor for each stage, percent oil in the raw meal (Poil), solids to solution ratio in the underflow (N), solvent to solids ratio (SSR), solvent to oil ratio (SOR) and wash ratio (WR) were varied while assessing To. While SSRi and SORi ranged from …
Data Communication Over Power-Lines: A Review On Technical, And Applications Challenges, Abdi Abdalla
Data Communication Over Power-Lines: A Review On Technical, And Applications Challenges, Abdi Abdalla
Tanzania Journal of Engineering and Technology (TJET)
This paper presents a review study on the data communication over power-lines, commonly referred to as power-line carrier, power-line communication (PLC), mains communications, or power-line digital subscriber line (PDSL). This study examines the technical and application advantages and challenges associated with adopting PLC as a preferred alternative technology for wideband or broadband data communication. The broader coverage area of the PLC network gives it a distinct advantage over other communication network technologies. Additionally, implementing a communication system using the existing power-line network is more cost-effective and less time-consuming compared to constructing a new network from scratch. However, the primary challenge …
Development And Testing Of Small-Scale Flash Dryer For Maize Bran, Eden Ngowi
Development And Testing Of Small-Scale Flash Dryer For Maize Bran, Eden Ngowi
Tanzania Journal of Engineering and Technology (TJET)
Sun drying is the most common technique used to dry various food products due to its economic convenience. However, it is not effective owing to its unreliable nature leading to microbial deterioration and aflatoxin contamination of food. In Tanzania, about 1.3 million tonnes of maize bran are at risk of deterioration annually due to improper drying. The aim of this study was to design, fabricate and test an efficient small-scale flash dryer for maize bran. Using principles of material and energy balance, a small-scale flash dryer with a throughput of 500 kg of dry product per hour was designed resulting …
‘‘Domicilelessness’’ And Livelihoods In Urban Areas: Case Of Maasai In Dar Es Salaam, Tanzania, Ombeni Swai
‘‘Domicilelessness’’ And Livelihoods In Urban Areas: Case Of Maasai In Dar Es Salaam, Tanzania, Ombeni Swai
Tanzania Journal of Engineering and Technology (TJET)
The study aimed at demonstrating Maasai migration into Dar es Salaam urban areas and their challenges in accessing accommodation. Methodologically, the study deployed secondary data analysis following a descriptive research design. Furthermore, this study was conducted through both qualitative and quantitative research approaches. The study was conducted from 2018 to 2022 of which a random sample of 100 (N=100) was targeted. The data was analyzed using the Statistical Package for Social Sciences (SPSS Version 16). Findings: The Maasai means of accommodation are divided into four main categories: completed houses (6%), under-construction sites (39%), halfway constructed and abandoned structures (31%), and …
The Effects Of Corporate Culture On Firm Growth: Evidence From Tanzania’S Construction Firms, Fred P. Okangi
The Effects Of Corporate Culture On Firm Growth: Evidence From Tanzania’S Construction Firms, Fred P. Okangi
Tanzania Journal of Engineering and Technology (TJET)
Corporate culture is one of those important aspects that determine the growth of firms. This study investigates the effects of the different types of corporate culture on the growth of Tanzania’s local construction firms. A survey of 227 Tanzania’s construction firms was undertaken using semi-structured questionnaire. The data collected were quantitatively analysed using Stata 13.0 software. The study results indicate that only the hierarchy type of corporate culture positively and significantly impacts the growth of Tanzania’s construction firms. The other types of corporate culture, such as adhocracy, market, and clan had insignificant effects on the growth of the construction firms …
Exploring The Transformation Of Sustainable Collective Spaces: A Study From Mlalakuwa Informal Settlement, Jacob Lutta
Exploring The Transformation Of Sustainable Collective Spaces: A Study From Mlalakuwa Informal Settlement, Jacob Lutta
Tanzania Journal of Engineering and Technology (TJET)
A major challenge in collective space transformation is addressing the complexity of informal urbanisation in developing countries. Using a case study approach, this paper examines the concerns related to a particular informal settlement's sustainable collective space transformation. One of the key findings is that the absence of formal rules and regulations in the development of informal settlements in combination with land-grabbing leads to the absence of open spaces that could be used collectively. It is observed that sustainability in urban development is another body of critical thought that integrates several streams of current urban elements and embodies various conceptions of …
Investigations Of Cell Tower Antennas Parameters On Reduction Of Radio Frequency Radiation Levels From Radio Base Stations, Florence U. Rashidi
Investigations Of Cell Tower Antennas Parameters On Reduction Of Radio Frequency Radiation Levels From Radio Base Stations, Florence U. Rashidi
Tanzania Journal of Engineering and Technology (TJET)
The widespread deployment of mobile cellular base stations in populated areas has raised public health concerns due to increased exposure to radio frequency (RF) radiation emissions. Exposure to high levels of RF radiation can have potential thermal and non-thermal biological effects. Optimizing the configuration of cell tower antenna parameters is crucial for mitigating these radiation levels. This study therefore aims at systematically investigating the influence of different cell tower antenna parameters on reducing the RF radiation levels from mobile base stations. Field measurements were conducted at two cell sites shared by multiple mobile operators. Electric field strengths were measured at …
Lean Manufacturing Practices In Tanzania: Exploring Awareness, Training And Capital Investment, Francis D. Sinkamba
Lean Manufacturing Practices In Tanzania: Exploring Awareness, Training And Capital Investment, Francis D. Sinkamba
Tanzania Journal of Engineering and Technology (TJET)
With the growing competition among industries in the world, manufacturing industries are now forced to adopt the Lean Manufacturing philosophy to improve their competitive abilities. The adoption of the philosophy is very low in developing countries such as Tanzania, as is demonstrated with 1% of publications and the lack of knowledge and capital for Lean Manufacturing implementation causes this. Furthermore, the contribution of the sector to the Gross Domestic Product in Tanzania is low and stands at 8.4%. The study wants to bridge the gap in training, capital and awareness of Lean Manufacturing in Tanzania. Survey and purposive sampling techniques …
Evaluation Of Business-Driven Reference Architecture For Big Data Analytics Implementation By Public Sector Organizations In Resource-Constrained Setting: A Case Study Of Uganda, Matendo Didas
Tanzania Journal of Engineering and Technology (TJET)
Big Data Analytics (BDA) is a new area at the nexus of agenda, public sector organizations, and government business. It may satisfy the growing need for trustworthy, cost-effective services in the public sector for better, more informed decision-making processes. BDA has been proposed on the planning schedules of several public sector organizations and the government. Therefore, from the previous work, using Uganda as a case study, specifically the Uganda Bureau of Statistics (UBOS), Ministry of Health (MoH), and Ministry of Education and Sports (MoES), this study aims to evaluate a designed Business-Driven Reference Architecture for Big Data Analytics Implementation (BRABDAI) …
Assessment Of The Factors Affecting The National Ict Broadband Backbone (Nictbb) Systems Restoration Time, Victoria Mahabi
Assessment Of The Factors Affecting The National Ict Broadband Backbone (Nictbb) Systems Restoration Time, Victoria Mahabi
Tanzania Journal of Engineering and Technology (TJET)
This study investigates the factors affecting the prolonged system restoration time when national ICT broadband backbone (NICTBB) services are affected by breakdown incidents. NICTBB is the government-owned backbone infrastructure constructed nationally by the Republic of Tanzania to increase the usage of ICT for equitable and sustainable socio-economic development and accelerate poverty reduction. This study utilised a mixture of exploratory and descriptive study approaches. The sample size determination was executed using purposing and simple random sampling, thus involving 289 respondents. The data reliability test was undertaken. It was followed by factor analysis, analysis of variances (ANOVA), linear regression analysis, and confirmed …