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Every year, a large amount of population reconciles gun-related violence all over the world. In this work, we develop a computer-based fully automated system to identify basic armaments, particularly handguns and rifles. Recent work in the field of deep learning and transfer learning has demonstrated significant progress in the areas of object detection and recognition. We have implemented YOLO V3 “You Only Look Once” object detection model by training it on our customized dataset. The training results confirm that YOLO V3 outperforms YOLO V2 and traditional convolutional neural network (CNN). Additionally, intensive GPUs or high computation resources were not required in our approach as we used transfer learning for training our model. Applying this model in our surveillance system, we can attempt to save human life and accomplish reduction in the rate of manslaughter or mass killing. Additionally, our proposed system can also be implemented in high-end surveillance and security robots to detect a weapon or unsafe assets to avoid any kind of assault or risk to human life.

This study introduces and evaluates an innovative methodology for assessing constructability in the maintenance of university buildings, aiming to improve the quality of academic infrastructure. The proposed approach is based on four key criteria: functionality, usage, investment, and curricular planning. These criteria are derived from the principles established by the Chilean Construction Industry Council (CCI Chile, 2024) and were applied in a case study at Ricardo Palma University. A quasi-experimental research design was implemented in two physical spaces within the Faculty of Architecture and Urbanism, one of which underwent a maintenance intervention while the other remained unaltered. Data was collected through expert-validated instruments, administered to senior students and technical staff before and after the intervention. The results revealed significant improvements, with satisfaction levels increasing from 44% to 56% among students and a 10% rise in positive technical evaluations (p < 0.005) which reflected an improvement in the perceived quality of the academic environment, especially in areas related to maintenance planning, execution, control, safety, and user comfort. This study concludes that integrating constructability criteria into the maintenance phase can optimize infrastructure management, enhancing sustainability, operational efficiency, and user satisfaction. The developed methodology offers a practical and replicable tool for other academic units and universities, supporting continuous improvement and promoting evidence-based decision-making in the management of educational facilities.

As the world keeps advancing, the need for automated interconnected devices has started to gain significance; to cater to the condition, a new concept Internet of Things (IoT) has been introduced that revolves around smart devicesʼ conception. These smart devices using IoT can communicate with each other through a network to attain particular objectives, i.e., automation and intelligent decision making. IoT has enabled the users to divide their household burden with machines as these complex machines look after the environment variables and control their behavior accordingly. As evident, these machines use sensors to collect vital information, which is then the complexity analyzed at a computational node that then smartly controls these devicesʼ operational behaviors. Deep learning-based guessing attack protection algorithms have been enhancing IoT security; however, it still has a critical challenge for the complex industries’ IoT networks. One of the crucial aspects of such systems is the need to have a significant training time for processing a large dataset from the networkʼs previous flow of data. Traditional deep learning approaches include decision trees, logistic regression, and support vector machines. However, it is essential to note that this convenience comes with a price that involves security vulnerabilities as IoT networks are prone to be interfered with by hackers who can access the sensor/communication data and later utilize it for malicious purposes. This paper presents the experimental study of cryptographic algorithms to classify the types of encryption algorithms into the asymmetric and asymmetric encryption algorithm. It presents a deep analysis of AES, DES, 3DES, RSA, and Blowfish based on timing complexity, size, encryption, and decryption performances. It has been assessed in terms of the guessing attack in real-time deep learning complex IoT applications. The assessment has been done using the simulation approach and it has been tested the speed of encryption and decryption of the selected encryption algorithms. For each encryption and decryption, the tests executed the same encryption using the same plaintext for five separate times, and the average time is compared. The key size used for each encryption algorithm is the maximum bytes the cipher can allow. To the comparison, the average time required to compute the algorithm by the three devices is used. For the experimental test, a set of plaintexts is used in the simulation—password-sized text and paragraph-sized text—that achieves target fair results compared to the existing algorithms in real-time deep learning networks for IoT applications.

Cost overruns, delays, and poor quality are frequent in public investment projects under the contract modality, executed by the Executing Unit: Special Project Huallaga Central and Bajo Mayo (PEHCBM). The purpose of this research is to identify the factors that affect the fulfillment of contracts for the execution of public works in the PEHCBM. This research includes the determination of the most influential factors using the relative importance index (RII), as well as surveys administered to a sample of 25 experts. A total of 91 articles from 48 academic journals were selected. With the application of the RII, 21 factors were determined, distributed among the dimensions of cost, time, and quality, and validated by the experts with a Spearman’s coefficient of value 0.521. In the case study, seven relevant factors were determined in PEHCBM execution contracts, identifying overtime between 4.7% and 524.2%, as well as a cost increase between 8.8% and 52.2%. Similarly, adverse situations detected by the Comptroller’s Office were determined, with an accumulated economic damage of about PEN 19 million, determining the high influence of the cost, time, and quality dimensions on them. In conclusion, this study shows the high overtime and the deficient quality of the works carried out by the contracting modality, which generated economic damage to the State.

The objective of this research is to design sustainable public spaces along the banks of the Ichu River in Huancavelica, Peru, with the aim of promoting environmental awareness within the local community. The identified problem lies in the deterioration of these spaces and the limited environmental awareness among the population. The applied methodology includes both macro- and micro-scale analyses of the study area, as well as the use of bioclimatic maps to incorporate passive strategies, clean technologies, and the use of local and ecological materials. The proposed hypothesis states that if sustainable public spaces are designed by integrating bioclimatic strategies, clean technologies, and local materials, then environmental awareness among the population will be strengthened, the quality of life of residents will improve, and the economic and social development of Huancavelica will be promoted. The results show that the implementation of sustainable infrastructure such as roads, parks, a riverside promenade with local product fairs, and a tourist dock can significantly contribute to improving the urban and natural environment. Additionally, the creation of an ecomuseum with sensory gardens is proposed to encourage social inclusion. In conclusion, the design of these spaces not only supports the conservation of the local ecosystem through actions such as reforestation and sustainable rainwater drainage but also strengthens the sense of community belonging and boosts economic development through neighborhood markets and responsible tourism activities, thereby improving the relationship between the community and its natural environment.

The objective of this research is to propose a public transport reorganization system that allows the improvement of urban vehicle flow. The lack of adequate transportation infrastructure and the existing disorder in the services provided by collective car, Microbus, Rural Public Transportation Van (Combi), Coaster, and mototaxis generate congestion in public transportation, especially during peak hours, resulting in environmental and noise pollution. The research was structured into four stages: data collection on the public and private transportation network, importing and creating the transportation network in the urban area of the Huánuco district, zoning and connectivity of the study area, and finally, creating the origin/destination (O/D) matrix for public transportation, supported by digital tools (ArcGIS 10.5, AutoCAD 2018, Excel 2017). To meet the demand of 135,343 passengers from South to North and 118,958 from North to South, the proposal includes establishing one main route and seven feeder routes, requiring 422 buses and road infrastructure, as depicted in the proposal This system will have exclusive lanes to operate the Mass Transit System, allowing it to accommodate 59% of users who prefer using public transportation. This proposal aims to offer an efficient and high-quality transportation system.

Population growth in the last 30 years has generated an energy shortage and excessive consumption of products, generating a large percentage of solid waste. Urban expansion has led to a significant impact on the biodiversity of both flora and fauna. In this context, the objective of this research is to develop a design for a green corridor that optimizes ecological energy efficiency and contributes to the revaluation of the Huatanay River in Cuzco. The methodology used in this study is articulated in four stages: literature analysis; analysis of the environment through supporting data such as Climate consultant, SIGRID, and GEO Peru; results where the proposed project is carried out; and finally, the conclusions and discussions where they are contrasted with a similar bibliography. The design of the green corridor efficiently takes advantage of the natural resources available in the area, which has 70% green areas and 30% public spaces, where 13 kWh/day of energy is generated, according to the calculations made in sector 2 of the botanical garden that will later be replicated in the other sectors, derived from biodigesters for the lighting of spaces of the botanical garden. The corridor, in turn, aims to recover the ecological function of the river through the restoration of its course, the reforestation of its banks, and the creation of recreational areas. In conclusion, the green corridor aims to revitalize the Huatanay River through different elements, among which the botanical garden stands out.

The present research aims to propose the design of a green corridor with a systemic/sustainable approach to function as an ecological lung for the city of Cuzco. A lack of planning has resulted in uncontrolled urban development, with a shortage of green areas, negatively affecting the quality of life. Green corridors stand out as solutions that encourage social interaction and improve public health. This approach recognizes the need for balanced resource management and institutional, economic and social organization. In the specific case of Cusco, the lack of social interaction highlights the importance of addressing these challenges to improve the quality of life for both residents and visitors. The methods developed were an extensive literature review, urban analysis and climate analysis, applying sustainability strategies supported by digital tools (Google Earth, Climate Consultant 6.0, Autocad, SketchUp and 3d Sun Path). As a result, this proposal presents green areas covering 69.96% of the total area, aimed at providing recreational spaces and connecting residents and visitors with nature. Additionally, biolakes were designed, accounting for 3.18% of the area, serving as ornamental elements and contributing to the environmental quality of the urban environment. The botanical zone, encompassing 18.14% of the project, was designed to accommodate a diverse range of plant species, providing an educational and aesthetic environment. The convention area, representing 9.7% of the total area, was designed to host events and community activities, promoting social and cultural interaction. Finally, 0.98% of the space was allocated to the cultural zone, where artistic exhibitions, cultural events, and related activities can be planned, enriching the cultural and social life of the community. These percentages reflect careful consideration of the needs and aspirations of the population, as well as a comprehensive approach to sustainable urban design and the creation of multifunctional spaces. In conclusion, through a green corridor, the aim is to counteract uncontrolled urban expansion and environmental degradation by generating a green lung in the city of Cuzco, naturally regulating the climate and contributing to air and water purification. The absence of green corridors and sustainable approaches to social connectivity in Cusco could reduce the quality of life of residents, affecting their physical and mental health. The lack of green and recreational spaces could increase segregation and alienation in the community, weakening social cohesion. Without green corridors, the city would also face environmental and biodiversity challenges, as well as a reduced ability to respond to extreme weather events. The lack of implementation of these strategies could compromise comprehensive development and quality of life in Cuzco.

The purpose of this research is to propose an architectural design for an Interpretation Center aimed at the revaluation of the flora and fauna of Cusco, Peru, in 2023. Due to the lack of awareness spaces, deforestation, water pollution, and the planting of introduced species in the area, there is a loss of endemic flora and fauna. The methodologies used in this study included climatic analysis of the location, characterization of the flora and fauna, and the application of bioclimatic design strategies supported by the use of software (AutoCAD, Revit, and 3D Sun-path). Additionally, urban design strategies were employed based on the Inca worldview and the Sustainable Development Goals. The feasibility of implementing this urban and architectural proposal was compared with other projects such as the Sydney Water Restoration Project and the Ataria Nature Interpretation Center. As a result, an ecological network was designed for the preservation of endemic species. The project also includes green spaces, which account for 51% of the total area. These green spaces will facilitate carbon dioxide absorption and contribute to the revaluation of the Huantanay River and the creation of microclimates in the area.

The lack of cultural spaces and the inadequate preservation of architectural heritage hinder the development of ecotourism in Ollantaytambo. This research aims to propose an architectural design for green infrastructure that supports the growth of ecotourism at the Ollantaytambo archeological site, located in the Urubamba Province, Peru. The study consists of three main phases: a literature review; a site analysis focusing on climate, flora, and fauna; and the development of a comprehensive architectural proposal. The process is supported by digital tools, including Google Earth Pro 2024, OpenStreetMap 2024, SketchUp 2024, Lumion 2024, Photoshop 2024, and 3D Sun-Path 2024. The resulting design includes the implementation of a sustainable cultural center, conceived to ensure seasonal thermal comfort through the use of green roofs and walls, efficient irrigation systems, and native vegetation. The proposal incorporates elements of Cusco’s vernacular architecture by combining traditional earth-based construction techniques, such as rammed earth, adobe, and quincha, with contemporary materials, such as bamboo and timber, in order to improve the energy and environmental performance of the built environment. Furthermore, the project integrates a rainwater-harvesting system and a photovoltaic lighting system. It includes 30 solar-powered luminaires with an estimated monthly output of 72 kWh, and 135 photovoltaic panels capable of generating approximately 2673 kWh per month. In conclusion, the proposed design blends naturally with the local environment and culture. It adheres to principles of sustainability and energy efficiency and aligns with Sustainable Development Goals (SDGs) 3, 6, 7, 11, and 15 by promoting heritage conservation, environmental regeneration, and responsible ecotourism.