Infrastructure Growth Research Articles

Feasibility of Carbon Dioxide Storage Resource Use within Climate Change Mitigation Scenarios for the United States.

To progress decarbonization in the United States, numerous techno-economic models that project CO2 storage deployment at annual injection rates of 0.3-1.7 Gt year-1 by 2050 have been built. However, these models do not consider many geological, technical, or socio-economic factors that could impede the growth of geological storage resource use, and there is uncertainty about the feasibility of the resulting projections. Here, we evaluate storage scenarios across four major modeling efforts. We apply a growth modeling framework using logistic curves to analyze the feasibility of growth trajectories under constraints imposed by the associated storage resource availability. We show that storage resources are abundant, and resources of the Gulf Coast alone would be sufficient to meet national demand were it not for transport limitations. On the contrary, deployment trajectories require sustained average annual (exponential) growth at rates of >10% nationally for two of the three reports and between 3% and 20% regionally across four storage hubs projected in both reports with regional resolution. These rates are high relative to historical rates of growth in analogous large scale energy infrastructure in the United States. Projections for California appear to be particularly infeasible. Future modeling efforts should be constrained to more realistic deployment trajectories, which could be done with simple constraints from the type of modeling framework presented here.

Railway Network, Industrialization, and Development of Langsa, Aceh in 1907—1943

This study aims to reveal the railway networks, industrialization, and development of Langsa, Aceh in 1907-1943s. In the early 1900s, Langsa was designed as a Government Center and a new economic center on the East Coast of Aceh. However, Langsa was not yet connected to the railway networks, so it was necessary to build a railway line as one of the supporting infrastructures. The construction of the railway networks changed many things, ranging from urban landscape, economy, politics, to socio-culture. To pursue the aim of this study, historical methods consisted of heuristics, source criticism, interpretation and historiography were applied. The sources used were colonial archives, contemporary newspapers, contemporary magazines, and other relevant sources. This study found that the construction of the railway networks in Langsa was part of the Dutch colonial government's strategy to maximize economic benefits in the eastern coastal region of Aceh by building connectivity from the North and South regions. The development of the railway networks also had an impact on the growth of the economy, the mobilization of a dynamic population, the growth of good infrastructure for travelers, facilitating communication networks, to encourage the emergence of various types of new professions. However, the construction of the railway networks played a role in environmental damage in the eastern coastal region of Aceh as well as gave insignificant impact on the development of Aceh's indigenous human resources.

Trauma Care

90% growth of technology and infrastructure has made our lives easier. The advent of technology increased the traffic hazards and the road accidents take place frequently which cause huge loss and property because of poor emergency facilities. We all have heard about the refusal on the part of private hospitals in Kollam and Trivandrum to admit an accident victim resulted in his tragic death, almost 7 hours after the accident. This project will provide an optimum solution to this drawback. This system will link all the hospitals in a locality. It will provide the current status about the blood banks, ICU, ventilator and casualty services of all hospitals, We can know whether a bed is available in an ICU or not. If an accident occurs in a particular area one can take a photograph and can inform the hospitals about the condition of the patient such that the hospitals can take immediate actions. Through the emergency button available in the system, the users can inform authorities on accidents occurred

Ranking 31 provinces of Iran based on infrastructure growth using Shannon entropy and TOPSIS methods

Ranking 31 provinces of Iran based on infrastructure growth using Shannon entropy and TOPSIS methods

Evaluating the effect of ICT on trade and economic growth from the perspective of Eastern African belt and road countries

ABSTRACT This study employs the new panel data structural gravity approach to investigate the overarching effect of ICT on bilateral trade flows and economic growth, by using a panel of 65 Belt and Road initiative (BRI) countries. This comprises of twenty-seven (27) sub-Saharan African countries from the period 2000 to 2019. The empirical results indicate that greater access to ICT deepens bilateral export and growth among participating countries. Essentially, the results demonstrate a positive correlation between ICT growth and economic development in the BRI countries. Overall, the findings reveal that ICT and infrastructural growth have provided the East African Community (EAC) a lot of opportunities to boost intra-regional trade. However, the BRI countries need to invest more heavily in ICT infrastructure to foster a continuous and sustainable economic development paradigm within the enclave.

Mega sporting events and their socio-economic impact: Case study of the 2022 FIFA World Cup

Using as a case study the 2022 FIFA World Cup, the present research studied the social-economic consequences of major sport events management. The present study examined many researches that had to do with the concept of infrastructure growth as a result of major sport events, as well as offered statistics on evidence of infrastructure development as a consequence of major sport events. The data that were used for the research were collected via online survey questionnaires, and they were analyzed using descriptive statistics and multiple regression analysis. Event infrastructures employed in major sport events have a favorable social-economic impact. That comes as a result of the good impact that the audience at major sporting has on the social-economic development in general, and also the beneficial impact that the degree of organization at major sport events has on the social-economic welfare. The 2022 World Cup has been shown to have a significant influence on the country’s infrastructural development. As a result, it was established that major sport events are critical for a country’s infrastructure development. It is suggested that the present research is used on the future as a source in the investigation of infrastructure changes caused by major sporting events.

The Materiality of Space: Infrastructuring the Border Space in Arunachal Pradesh

The materiality of space refers to the material constituents determining the space. The spatial imagination of the borderland, characterised by critical spatiality, is materially constituted. The fact of being materially constituted means to be infrastructurally configured. The infrastructures here include hydro projects, highways, railroads, bridges, tunnels, airports, digital connectivity and other defence-related installations. These projects combine a two-pronged approach: security and development. The security challenges that the border space embodies compel the state to adopt an approach of competitive infrastructure building. The nature of this competition is determined by the competing other’s approach towards the border space. Arunachal Pradesh is a very critical border state that shares its crucial border space of 1,080 km with China, 160 km with Bhutan and 440 km with Myanmar. China’s increasing geopolitical clout in the region intensifies its spatial and material prominence. India under its Act East Policy (AEP) formulation in 2014 has taken up a very determined approach to accelerating infrastructure growth in the northeast and more particularly in Arunachal Pradesh for its border spatiality. Therefore, the border space loses its inferential, conjectural and abstract character and becomes materially determined. This imperative for materiality embodies, on the one hand, development, modernity, capitalist social space and mainstreaming of the neglected and, on the other hand, protectionism and upgradation of security architecture along critical geography known as the border space. Therefore, this study examines the development of materiality, meaning infrastructure, in a complex border space like Arunachal Pradesh. It decodes the economic logic of the systematic development of border space by the Indian nation-state from the point of view of the growth of the region and security urgency. It uses Henri Lefebvre’s theoretical formulations of spatiality to understand the convoluted category of border space and the introduction of material forces to achieve security and developmental objectives.

The 3-5-8 Cycle Post-Reform at the Malagasy Public Institutional Level: A Bridge to a New Pace

This paper explores the realities that Malagasy public institutions underwent after implementing the LMD system. This research draws on qualitative data, which purposely interviewed 16 participants. Findings revealed that many debates have arisen regarding the reform due to its lack of clarity. Opportunities and problems were seen in teaching and learning since the reform brought diplomas internationalization and infrastructure growth rather than teaching improvement. This study encourages a thorough reevaluation of the ongoing educational system to systematically answer the reform’s primary objectives: to advance quality pedagogical and learning productivities and upgrade research in academia through internet connectivity intensification. Meanwhile, create competition mechanisms for teachers as strategies to motivate and alert leaders to put research, regardless of discipline, in the right place. Since it has the power to abreast teachers with new content and information, notably to nurture teaching scientificity and ranking improvement of institutions.

A Hybrid Model for Anomaly Detection in Cloud Using Deep Learning

The exponential growth of cloud infrastructure and services has resulted in a sharp increase in the demand for effective anomaly detection methods. Traditional rule-based and statistical methodologies have a tough time keeping up with cloud systems because of their dynamic and complex nature. As a result, there is a growing need to apply deep learning techniques to address the issue. Here we provide a unique method for utilizing deep learning to identify anomalies in cloud environments. One of the main contributions of this research is the design and implementation of deep learning-based anomaly detection system that is specially tailored to the cloud’s data properties. Convolution Neural Networks and auto encoders are used to extract the patterns and spatial representations from structured cloud data. Thorough experiments are conducted on a large scale cloud dataset with a range of usage scenarios and anomaly types to evaluate the effectiveness of the recommended technique. The deep learning model has benefits over more conventional anomaly detection methods when compared in terms of accuracy, sensitivity and false- positive rates, according to analyses. The findings of my analysis suggest that deep learning based LSTM and RSU algorithms significantly increase the security and reliability of network data by identifying abnormal behaviors. The RSU algorithm forecasts an accuracy of 99 comparable to the LSTM algorithm. Key Words: Convolution Neural Networks, LSTM algorithm, RSU algorithm, Deep Learning

An Analysis of Private Participation in Health Infrastructure in India

Privatization of healthcare is an international trend originating from liberal thought. According to this, privatization offers options to all social and economic groups in the nation. However, market failure and externalities result in differential access to high-quality healthcare. Since the implementation of neoliberal policies in India in the early 1990s, there has been a steady rise in private involvement in the healthcare sector. In this context, an attempt is made in the present study to analyze the trends in private participation in the growth of health infrastructure in India and the regional disparities. This research is based on secondary data collected from several published sources. The analysis reveals that between 1998 and 2020, private hospitals have grown at a compound annual growth rate of 6.73 percent and beds in private hospitals have grown at a compound annual growth rate of 7.37 percent. Pearson Correlation Coefficient is calculated to determine the relationship between the state's economic position and private sector participation in the creation of health infrastructure.

Durability assessment of concrete with natural and Linz Donawitz slag as coarse aggregates

Rapid growth of infrastructure has resulted in incessant consumption of natural aggregates in cement concrete leading to its depletion. Efforts have been made to utilize industrial by-products such as steel slag aggregates in concrete as partial replacement for natural aggregates. However, the utilization of Linz Donawitz (LD) slag aggregates in concrete is very limited compared to other slag aggregates. The limited utilization could be attributed to the expansive nature of LD slag aggregates, which may result in durability issues. In this study, the compressive strength and durability characteristics of concrete with 100% LD slag coarse aggregate are investigated considering three different cement types, including Ordinary Portland Cement (OPC), Portland Pozzolana Cement (PPC) and Portland Slag Cement (PSC) for all the mixtures. LD slag and control concrete were examined for durability by conducting water permeability, electrical resistivity, drying shrinkage, rapid chloride penetration (RCPT) and water absorption tests. X-Ray Diffraction (XRD) analysis along with the microstructural investigations using SEM-EDS was carried out to supplement durability results. The compressive strength results indicated that LD slag concrete depicted higher strength than control concrete and there was a steady increase in strength with curing duration. Interestingly, PSC concrete depicted higher rate of strength gain compared to other cements. Further, LD slag concrete depicted low permeability and water absorption compared to control concrete, where it can be anticipated lower freeze–thaw damage. RCPT results indicated lower penetration of chloride ions representing delayed corrosion of steel in LD slag concrete. Overall, LD slag concrete depicted enhanced durability than control concrete.

PELEBARAN RUAS JALAN GUNUNG SARI – MANCAK – ANYER

The growth of road infrastructure in Indonesia is increasing in line with the growth in traffic volume. Roads that function as a means of connecting between humans and land use in order to increase road capacity require widening. Jalan Gunungsari - Mancak - Anyer is a provincial road that has always been used as an alternative road to the Anyer tourist area, currently the condition of the existing road width does not meet provincial road standards where the minimum width is approximately 7 meters so that a handling is needed by widening the Gunungsari - Mancak - Anyer road section so that it can increase road capacity on this road section, so that a handling system arrangement is needed so that there are no obstacles or blockages and optimal service. Planning for widening this road using the Road Pavement Manual method Number 04/SE/Db/2017 obtained that the thickness of the Hotmix (AC – WC) surface layer is 6 cm, the thickness of the upper foundation layer (aggregate) class A is 16 cm, the lower foundation layer (aggregate) class B is 24 cm with a design life of 10 years.

Medium- and Long-term Forecast of China’s Electricity Consumption Considering the Fast Growth of New Infrastructure

In order to predict China’s electricity consumption demand under situation of fast growth of the new infrastructure, a medium- and long-term electricity consumption demand prediction model based on LEAP is proposed, which calculates the overall electricity consumption of the country according to the activity level and intensity of typical new infrastructure and other sectors. Five different scenarios are set for comparison. The results show that under the basic scenario, China’s electricity consumption will reach 7408 billion kWh in 2035, in which the consumption of new infrastructure accounts for 31.31%.While under the other four scenarios, China’s electricity consumption will reach to the minimum of 7319 billion kWh under the scenario of improvement of energy-saving technology, and the maximum of 7525 billion kWh under the scenario of fast development of the new infrastructure, with higher contributions of the consumption of commercial charging, data centers and 5G base station. Relevant suggestions are put forward from the aspects of new infrastructure construction, development of clean energy and technical standards to reduce the electricity consumption of new infrastructure.

A comprehensive resilience assessment framework for hydrogen energy infrastructure development

In recent years, sustainable development has become a challenge for many societies due to natural or other disruptive events, which have disrupted economic, environmental, and energy infrastructure growth. Developing hydrogen energy infrastructure is crucial for sustainable development because of its numerous benefits over conventional energy sources. However, the complexity of hydrogen energy infrastructure, including production, utilization, and storage stages, requires accounting for potential vulnerabilities. Therefore, resilience needs to be considered along with sustainable development. This paper proposes a decision-making framework to evaluate the resilience of hydrogen energy infrastructure by integrating resilience indicators and sustainability contributing factors. A holistic taxonomy of resilience performance is first developed, followed by a qualitative resilience assessment framework using a novel Intuitionistic fuzzy Weighted Influence Nonlinear Gauge System (IFWINGS). The results highlighted that Regulation and legislation, Government preparation, and Crisis response budget are the most critical resilience indicators in the understudy hydrogen energy infrastructure. A comparative case study demonstrates the practicality, capability, and effectiveness of the proposed approach. The results suggest that the proposed model can be used for resilience assessment in other areas.

Threshold-based asymmetric reactions of trade balances to currency devaluation: fresh insights from smooth transition regression (STR) model

ABSTRACT This study sought to ascertain relatively the asymmetric reactions of trade balances to currency devaluation and non-devaluation regimes in sub-Saharan African (SSA) countries between 1981 and 2021 using the smooth transition regression (STR) model. The outcome indicates that, in Ghana, Malawi, and Mozambique, currency devaluation as a change in policy has a major influence on the trade balance; however, in Nigeria, Kenya, and Tanzania, this impact is negligible. Nigeria had the highest gamma coefficient but insignificant, suggesting that policy change has not significantly impacted the country’s trade balance despite the high transition rate. Findings from the devaluation regime revealed that, with the exception of Ghana, all other nations’ real exchange rates are inversely and significantly related to the trade balance. Additionally, it displayed an average threshold parameter of 0.147, indicating that a devaluation of more than 14.7% within a year will deteriorate the trade balance in SSA. The results indicate that the devaluation effects hinge on the structure, macroprudential policies, and infrastructural growth of the nation. The study recommended amongst other things, (i) a robust structural transformation in key sectors (ii) judicious investment in infrastructural development to address the key bottleneck in the quality and quantity of domestic production.

Temporal Data Pooling With Meta-Initialization for Individual Short-Term Load Forecasting

The growth of advanced metering infrastructure (AMI) deployment has enabled intelligent power control and management at the customer level; Highly accurate individual short-term load forecasting is crucial for this precise control per customer. Recently, deep learning has been widely adopted to improve forecasting accuracy. However, training an individual deep network (local training) has overfitting issues due to data paucity per customer. Thus, a pooling scheme has been introduced to augment a training dataset by batching several customers’ data. Nevertheless, there is room for existing pooling approaches to further improve accuracy by considering distribution heterogeneity within a customer dataset. In addition, their static pool assignment only with a customer’s training dataset may cause accuracy degradation under concept drift in serving time. To overcome these, we propose a Temporal Data Pooling (TDP) that constructs data pools at the data sample level with a novel distribution inference method and theoretical analysis. It allows the most probable forecasting model to serve predictions while resolving data shortage issues in local training. The TDP outperforms the other six competing methods for point and probabilistic forecasting; it shows robust accuracy under concept drift. Moreover, it demonstrates superior accuracy for unseen customers without additional training, proving its scalability.

To Study the Partially Replacement Cement with Metakaolin, Egg Shell Powder and Fine Aggregates with Washed Bottom Ash

Abstract: Nowadays due to the construction boom demand for this material increasing day by day for construction activities worldwide, for rapid growth in infrastructure, consumption of natural sand is increased which lead to the continuous extraction of natural sand from the river bed. Due to these adverse effects, different states have imposed bans on the natural extraction of sand. The portion of the ash that escapes the chimney is referred to as fly ash (80%), and the clinkers that fall under their weight in the bottom hopper is termed as bottom ash (20%) which is cooled by water washing and is termed as Washed Bottom Ash (WBA). The most effective pozzolanic substance for use in concrete is metakaolin, a kind of pozzolana. it is known that the eggshell is mainly has the composition of compounds of calcium. Eggshells are composed of 93.70% calcium carbonate (in calcium), 4.20% of it is organic matter, 1.30% is magnesium carbonate, and 0.8% of it is calcium phosphate. The partial replacement of aggregates is need for the future generation of concrete structures for the environment supportable. The depletion of the natural resources gets exhausted. We have think over the alternate replacement of the materials. In present work the partial replacement of the metakaolin, Esp with the Cement and the fine aggregates is partially replaced by the WBA. Optimum value of strength in compression, split tensile and flexure came at MK,ESP12%WBA35% replacement of the TWA with the Cement and the fine aggregates is partially replaced by the WBA. The workability of mixture increases and after that there is decrease in the workability of the concrete when we increase the percentage of MK,ESP and WBA. A series of experiment were carried out to measure the compressive strength, split tensile strength and flexural strength of the concrete. The results showed that the compressive strength, split tensile strength and flexural strength increases with the adding of the MK,ESP and WBA in concrete

An Analysis of the Relationship between Immigration and the Development of Resource-based Cities in China - Centered on Daqing and Yichun in Heilongjiang Province

The main objective of this article is to understand the restoration of Northeast China and the founding of the People's Republic of China, with the needs of national construction and economic development, the rich natural resources in Heilongjiang have been rapidly developed. At the same time, a large number of immigrants have poured into the local mining and forest areas due to the attraction of natural resources. When immigrants bring the advanced equipment and cultural customs of the place of immigration into the local area, they also bring a new look to the local development, rapid economic growth and continuous improvement of various infrastructure. Qualitative method is used to accomplish this research study. Through the exploration of the construction, development and migration relationship of the two typical resource-based cities, Daqing and Yichun, we can fully summarize the objective laws of the development of resource-based cities, which can provide theoretical value and practical significance for the revitalization of the old industrial base in Northeast China, the transformation of resource-based cities and the attraction of talents.

MATERIAL SUPPLY ESTIMATION USING THE ECONOMIC ORDER QUANTITY (EOQ) METHOD IN THE PUSKOPCUINA BUILDING PHASE I PONTIANAK CONSTRUCTION PROJECT

Seeing the rapid development of the construction world, as part of the Indonesian economy, we need to support the growth of various facilities and infrastructure. In its growth, it must also improve its quality in all respects. In this case, material management plays an essential role in the construction process. The method chosen for this problem is the Economic Order Quantity (EOQ) method. The most economical amount of inventory can be determined by calculating the Economic Order Quantity (EOQ) method. This economical amount of stock can invest embedded in inventory materials, not excessive, so that it does not experience waste.

KARAKTERISTIK OPTIMUM BETON MUTU TINGGI DENGAN PENAMBAHAN SERBUK KACA

Concrete material innovation is one of the most used in construction nowadays. Along with the infrastructure growth, the amount of waste increases, such as glass waste. The glass waste contains silica and can be used as filler in the concrete mixture. This study aimed to determine the influence of added glass powder as filler on high-strength concrete. This research method was a laboratory experiment testing high-strength concrete to seek optimum characteristics of high-strength concrete based on the glass powder composition added. The optimum concrete characteristics consist of compressive strength, tensile strength, and modulus of elasticity for five samples with different material compositions shown in Table 3, and each sample comprised 6 (six) specimens tested. This study found that the second sample achieved the optimum compressive strength of concrete with 47.07 MPa, more significant than the compressive strength design (fcr) of 45 MPa. The optimum tensile strength produced 3.91 MPa or 8.3%, which correlated to the compressive strength of the BSK2 sample. Similarly, the optimum modulus of elasticity was then computed based on laboratory compressive strength tests referring to SNI 2847:2019 and the ASTM C-469-94, resulting in 33271.7 MPa dan 36164.95 MPa, respectively. In contrast, the modulus elasticity calculated based on the weight volume of concrete referring to SNI 2847:2019 has reached the highest elasticity modulus on the first sample with 34384.8 MPa.