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IoT based Crowd Monitoring System
No full textThere will be unexpected crowds in certain places, such as shopping malls, gaming venues, or other spots with seasonal traffic. We observe that many people arrive quickly without warning, which makes it difficult to manage resources, creates imbalances because of crowding, and manages parking and traffic, among other issues. IR sensors are the greatest option for counting people because they are affordable and simplify and improve the system. Controlling the entry and exit gates with servo motors is all that is required to keep an eye on the throng. The system also includes a buzzer-based exit gate control method for schools and other locations that require exit gate control. With advance knowledge about the crowd in a given region, the system keeps an eye on and manages the crowd, providing necessary individuals with information or a warning. In addition to controlling and monitoring the crowd without allowing for human interaction, the system also uses a bell to ensure that people leave the designated area. The system can be expanded to meet needs like managing student arrivals and departures from schools, keeping crowds within a set number of people in busy situations, parking lots, etc
Impact and Mitigation of Uncontrolled Electric Vehicle Charging on Local Power Grids with High Penetration of Distributed Energy Resources
No full textA transition is underway in low-voltage feeder networks due to the integration of distributed energy resources (DERs), battery energy storage systems, and electric vehicles (EVs), which may yield both positive and negative feedback effects on the system. On the other hand, when coordinated PV (photovoltaic) generation with battery storage and smart charging is implemented, the system achieves the highest reliability and stability. This paper examines the impact of improperly scheduled EV charging and potential mitigation strategies by integrating a smart charging method with rooftop solar panels and battery storage systems. In this study, we successfully modelled 100 rural household networks and tested different mitigation scenarios, including a smart charging case and a full mitigation case with battery storage and renewable sources. The result shows network losses of 8.4 kW, transformer loading of 96.429%, and the highest evening peak demand in the uncontrolled charging case. On the contrary, the full mitigation of planned charging and renewable energies with batteries reduces losses by halving uncontrolled network losses and shifting the peak demand from the evening to midnight, thereby decreasing voltage decline and resolving power quality issues such as distortions and voltage deviations
A Depth Video Dataset and Neural Framework for Real-Time Handwriting Character Generation and Guidance
No full textThe acquisition of handwriting requires movement in space and time to be monitored. This research introduces a depth-sensing system which registers and recognizes the handwritten signs through the analysis of the 3D movement. By using the Intel RealSense D405 camera, we computed a new dataset to record fine fixed hand and pen trajectories for each of the 26 English alphabetic characters. Each recording was converted to sequences of standardized point-cloud data and annotated with information on action label: pen_down, pen_lift, hand_position. An LSTM network has been used to train this temporal 3-D sequences with an accuracy of 82%, precision of 0.78, a recall of 0.82 and an F1 score of 0.79. By spatiotemporally transcending 2D trajectories, this methodology captures spatial as well as kinematic cues, which features important subtle dynamics of handwriting, which can be useful for real time feedback, educational applications, and assistive technologies. Potential research will extend the data target and explore transformer-based models with the aim of making it better than the current performance words
Management Food Waste in Indonesia: A Review
No full textFood waste is a global problem of considerable magnitude, and in Indonesia, the households account for 80% of the 23–48 million tons of food waste produced per year, which is equal to 155–184 kg/person. One of the main aims of this study is to investigate the problem of food waste generation in Indonesia in depth, both with regard to its patterns and causes. It is also an objective of the study to assess food waste management practices critically, as well as to determine the potential influence of the “Makan Bergizi Gratis” program on future waste accumulation. The research applies a rigorous scientific methodology and brings together the official records of the National Waste Management Information System of the Indonesian Ministry of Environment and Forestry and national databases. The study discusses both direct and indirect factors that contribute to food loss and waste, including poor harvesting practices, ineffective supply chains, consumer behavior, and policy limitations. The paper aims to support the transition towards a sustainable food system through essential policy areas and real initiatives by offering a comprehensive overview of the food waste dynamics in Indonesia
Automatic Extraction 3D Building Models from UAV LiDAR Point Cloud Data: A Case Study of Tunjungan Street, Surabaya
No full textHigh resolution 3D City Models are essential for the Smart City paradigm, yet acquiring accurate spatial data in dense tropical urban environments remains challenging due to the limitations of passive optical sensors. This study addresses these issues by validating a semi-automated workflow for generating Level of Detail 2 (LOD2) building models using UAV LiDAR data, specifically focusing on mitigating systematic strip misalignment errors. Using Surabaya’s Tunjungan Street as a case study, the research implements a rigorous strip adjustment method followed by nDSM-based extrusion guided by 2D footprints. Results demonstrate that strip adjustment is indispensable, improving Z-axis consistency by nearly 50% (from 1.23 mm to 0.63 mm). Crucially, this improvement minimizes vertical discrepancies and outliers, ensuring the high data cohesion required for precise architectural reconstruction and preventing geometric misinterpretations. The final products achieved a Horizontal Accuracy (CE90) of 0.079 m and Vertical Accuracy (LE90) of 0.385 m, surpassing Indonesian Class 1 standards for 1:5,000 scale mapping. Furthermore, the LOD2 models exhibited a vertical RMSE of 0.268 m, confirming the workflow's reliability for precision critical urban planning
Distribution and Environmental Parameters of Solen spp around the Pamekasan Coastal Water
No full textSolen sp. has grown to be a significant and economically valuable resource, particularly for the residents of Pamekasan, Madura Island; therefore, overfishing occurs if it is only used for natural purposes. The purpose of this research is to ascertain the density and environmental parameters of Solen sp around the Pamekasan southern coast. In September 2024, the study was required a descriptive methodology. Solen sp and environmental factors (temperature, salinity, pH, and substrate) served as the research materials. The gravimetric approach was used for the substrate analysis at the Oceanography Laboratory, Department of Marine and Fisheries, University Trunojoyo Madura. The results showed 1) Solen sp density of 8-12 individuals/m2 and 2) environmental parameters, including temperature 29-330C, salinity 31-33 ppt, pH 7.9-8.2, and substrate type of sandy mud. The density of Solen sp is thought to be related to environmental parameters that are still in accordance with sea water quality standards for marine biota, so that it becomes a habitat for growth and development of Solen sp
Synergistic Enviro-Economic Evaluation of a Solar-Green Hydrogen Hybrid System (SGHHS) for Continuous Clean Energy Using a Region-Specific Techno-Economic and Environmental Framework
No full textThis study assesses the techno-economic and environmental feasibility of a Solar–Green Hydrogen Hybrid System (SGHHS) designed for Rawalpindi, Pakistan. The system combines a 22.75 MWp photovoltaic array, a 2.25 MW Proton Exchange Membrane (PEM) electrolyzer, 450 kg hydrogen storage, and a 1 MW fuel cell to supply a continuous 1 MW daytime and 0.6 MW nighttime load. High-resolution climatic data and HOMER Pro simulations guided component optimization and validation. Results indicate a capital cost of USD 19 million and a levelized cost of electricity (LCOE) of USD 0.10/kWh, competitive with fossil-fuel benchmarks. Over a 25-year lifespan, the system avoids approximately 157,542 metric tons of CO2 emissions. Seasonal analyses confirm hydrogen storage as an effective buffer during winter deficits. The findings highlight SGHHS as a viable pathway to enhance energy security, reduce fossil fuel dependence, and contribute to Pakistan’s decarbonization targets
Stress and Negative Information Sharing in Media Environments: An Empirical Analysis of Motivational Mediation and Emotional Regulation
No full textThis study investigates the relationship between stress and the tendency to share negative information on social media, focusing on the mediating role of motivation. While previous research has linked stress with various social behaviors, the mechanisms behind the preference for negative information remain under-explored. Data were obtained from a total of 268 respondents in China through a systematically designed questionnaire. The analysis reveals that individuals experiencing higher stress levels are more inclined to disseminate negative information online, and that motivation serves as a crucial mediating variable in this relationship. These outcomes contribute to a deeper understanding of the psychological and emotional mechanisms shaping users’ online communication patterns and offer meaningful implications for interpreting social media engagement dynamics
A Multi-Case Study on the Transcultural Reception Mechanisms of Traditional Chinese Symbols in Domestic Films
No full textIn the context of globalization, the transcultural communication of Chinese films has become a significant pathway for enhancing national cultural soft power. However, due to cultural differences and cognitive barriers, Chinese films often encounter the “cultural discount” phenomenon during their international dissemination. Grounded in theories of Transcultural Communication, Cognitive Schema, Psychological Distance Theory and Reception theory, this study constructs an integrated analytical framework. Through a comparative analysis of four representative Chinese films from 2025: Ne Zha 2, Nobody, The Lychee Road, The Stage. This research investigates the reception mechanisms of traditional Chinese cultural symbols in transcultural communication
The relationship between micronutrient intake and cardiorespiratory endurance and speed in adolescent basketball athletes in Makassar
No full textAdequate micronutrient intake is essential for supporting physiological processes related to aerobic capacity and speed performance in athletes, yet evidence regarding its association with cardiorespiratory endurance and sprint performance remains limited. This study aimed to examine the relationship between selected micronutrient intake and cardiorespiratory endurance (VO₂ max) and sprint speed in Sahabat Basketball Club athletes. A cross-sectional design was applied involving 20 athletes aged 17–19 years. Daily intake of iron, magnesium, calcium, zinc, vitamin B₁, and vitamin C was assessed using a 3×24-hour dietary recall. Cardiorespiratory endurance was evaluated using estimated VO₂ max, while speed performance was measured through a 30-m sprint test. Pearson correlation analysis was used to determine the associations between micronutrient intake and performance outcomes. The results showed that iron and magnesium intake were strongly and positively correlated with VO₂ max and negatively correlated with sprint time, indicating better aerobic capacity and faster sprint performance. Calcium intake was also significantly associated with both VO₂ max and sprint speed. Zinc and vitamin B₁ intake demonstrated moderate but significant relationships with aerobic capacity and speed, whereas vitamin C intake showed a weak association with VO₂ max and no significant relationship with sprint performance. In conclusion, adequate intake of key micronutrients, particularly iron, magnesium, calcium, zinc, and vitamin B₁, is associated with improved cardiorespiratory endurance and sprint performance in athletes, highlighting the importance of micronutrient adequacy in sports nutrition strategies aimed at optimizing athletic performance