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Solar Power Plants (PLTS) have become a very popular energy source and have great potential in reducing dependence on fossil energy sources. The Node MCU ESP8266 is one type of microcontroller that is highly popular in the development of IoT projects. In generating electrical energy, the Internet of Things (IoT) technology has rapidly developed and become one of the most popular technologies in the field of electrical energy. With a PLTS monitoring system using a website, users can monitor the performance of the PLTS in real-time. Solar panels or solar cells are equipment modules that can convert solar energy into electrical energy with DC current. Monitoring is the process of systematically and continuously collecting and analyzing information based on predetermined indicators of activities/programs, allowing corrective actions to be taken for the improvement of the program/activity. The researchers will also discuss the importance of monitoring PLTS, as well as the potential of IoT technology to improve the efficiency and quality of electrical energy production. The website is used to operate IoT principles designed for fast and easy real-time reading. Functional testing is divided into three parts: voltage sensor testing, ACS712 current sensor testing, and NodeMCU testing. The electrical parameters to be measured include output current and output voltage. The PLTS monitoring system device, also known as the Box Panel, has been designed, built, and tested. The testing phase is carried out by conducting functional tests on the system to determine the success rate and accuracy of the device. Once the box panel functions properly, it can be used to monitor the output of the PLTS, and the measurement results will be displayed on the website that has been created.

Load variations found in PT PLN Persero customers, such as resistive, inductive, or capacitive loads, can potentially affect the error rate in kWh meter readings. To determine the error rate of kWh meter readings, it is necessary to compare the reading data from each kWh meter with the measurement data from a 6-in-1 multimeter display. This involves comparing the prepaid digital kWh meter, the postpaid semi-digital kWh meter, and the postpaid analog kWh meter, all assembled in series. Based on the test results, the average reading error rate for resistive loads was found to be 0,11% for the prepaid digital kWh meter, 6,91% for the postpaid semi-digital kWh meter, and 0,36% for the postpaid analog kWh meter. For inductive loads, the average reading error rate was 0,36% for the prepaid digital kWh meter, 7,00% for the postpaid semi-digital kWh meter, and 0,27% for the postpaid analog kWh meter. For capacitive loads, the average reading error rate was 0,09% for the prepaid digital kWh meter, 7,52% for the postpaid semi-digital kWh meter, and 0,62% for the postpaid analog kWh meter. This research is important for the electricity supply industry because the accuracy of electrical energy measurement is a key factor in maintaining operational efficiency and improving tariff fairness for customers.

The reliability index of the distribution system is a measure of the system's ability to continuously supply electrical energy to loads over a specific period and under certain conditions. PT. PLN (Persero) Rayon Samalanga, as the electricity service provider in Bireun Regency, adheres to service standards in accordance with SPLN 59:1985 and the IEEE Reliability Index standard 1366-2003. This research analyzes the reliability level of PT. PLN (Persero) Rayon Samalanga's distribution network on six (6) feeders: feeder SL-1, feeder SL-2, feeder SL-3, feeder SL-4, feeder SL-5, and feeder SL-6. The reliability index calculation is based on the estimated failure rate (λ) and the estimated interruption duration (U) for each installed component. The calculation results show that the distribution lines of PT. PLN (Persero) Rayon Samalanga are categorized as reliable according to SPLN 59:1985 and the IEEE Reliability Index standard 1366-2003, with the highest reliability index on feeder SL-4 at SAIFI = 2.04 times/failure; the best SAIDI value is on feeder SL-3 with SAIDI = 2.06852 hours/year; the best CAIDI value is on feeder SL-3 with CAIDI = 0.21 times/failure; the best MAIFI value is on feeder SL-2 with MAIFI = 14.82 times/customer; the best ASAI value is on feeder SL-3 with ASAI = 0.99999684, and the best ASUI value is on feeder SL-2 with ASUI = 0.0000081

Distributed Generator (DG) is a small-capacity power plant located within the electrical distribution system and is usually placed on buses directly connected to the load. The placement of distributed generators is a technical effort to reduce voltage drops and power losses in the system. Additionally, Power flow analysis is conducted to plan and determine the power levels within an electrical power system. The results in terms of power losses after adding a DG were achieved in the fifth experiment on bus 149, where the system's total active power loss (P) decreased from 720.822 kW to 682.939 kW, and the total reactive power loss (Q) decreased from 530.02 kVar to 405.835 kVar. These results were obtained from power flow calculations using Electrical Transient Analyzer Program (ETAP) software.Therefore, it can be concluded that the electrical network system is operating efficiently. The results show that the more wind turbine generators are added to the buses, the more the voltage drop is reduced. After simulation, the overall voltage drops still meet the standards according to the text report in ETAP.

Electrical energy is essential for the growth and advancement of technological knowledge that continues to increase. Solar cells are devices that convert solar energy through photovoltaic devices. Solar cell public street lighting (PJUBS) uses unlimited and free solar energy, is a feasible and cheap alternative to providing electric lighting. The Islamic center mosque is one of the places of worship for the majority of Muslims in the city of Lhokseumawe using public street lighting to support public security and safety. Installation of lamps for lighting is installed at several points, namely right, left or in the middle of the road, as needed, including flyovers, underpasses, and bridges. Public street lighting that is efficient and environmentally friendly is in accordance with SNI 7391: 2008. In this study, the lamps used in this evaluation study are solar types with a power of 50 Watts. The calculation results show that the illumination produced at the end of the road when using a 50 Watt solar LED lamp is 0.29 lux so that this does not comply with the provisions of BSN SNI 7391: 2008. This condition is influenced by several factors, namely surface temperature, shadows, inclination angle, light intensity, irradiation, and the condition of the panel surface in order to maximize the conversion value of sunlight into electrical energy

Groundwater is the primary water source for irrigating and drinking in dry seasons. This work was examined to assess groundwater potential area underlain by basement complex with GIS based approach of selected locations in Osogbo. The soil samples were taken and soil textural and permeability analyses were done in the laboratory. Supervised classification analysis was done on LandSAT imagery to generate Land use and a lineament map, surface analyst algorithm was applied on ASTER dam to generate elevation map. Hydraulic conductivity and overburden thickness maps were generated from the Borehole data parameters. Interpolation method was used to generate spatially spread clay, silt, sand, rainfall and hydraulic conductivity. Multi-criteria analysis was used to generate groundwater potential zone map in the study area. Specific factors were considered for groundwater potential zone. Reclassification was done on each of the considered factors and AHP model was used to assign weight to all the factors. The results of the various factors responsible for groundwater potential include lineament density 0-0.0028; sand 67.2-89.60%, silt 9.00-30.00%, clay 0.17-2.80%, permeability 0.000010-0.00002, rainfall 1304.02-1469.06mm/yr, hydraulic conductivity 0.21-0.96m/min, land use consisting of degraded forest 48.65%, riparian forest 13.05%, built up 38.29%, and water body 0.001%. However, ground water potential of the study area was assessed and classified into fair, good and very good with the coverage of 2%, 80% and 18% respectively. Conclusively, the groundwater recharge potential is very good at Ofatedo, Gbonmi and Oke-Oro locations, good at Awosuru, Gbodofon and Dagbolu locations, but fair at Mallam Tope location in Osogbo

The goal of the indoor localization is to determine the position and orientation of people, devices, and mobile robots. With the rise of Industry 4.0, wireless communication technologies have emerged as a rapidly evolving and crucial area for achieving this goal. Various radiocommunication-based technologies, including Bluetooth, Bluetooth Low Energy (BLE), Wi-Fi, Ultra-Wideband (UWB), and ZigBee offer means to indirectly estimate distance. These methods leverage diverse principles such as time-based measurements, signal strength, and angle of arrival. Indoor positioning systems can be categorized into two approaches: distance-based and distance-independent techniques. The Free Space Path Loss (FSPL) model describes the connection between distance and Received Signal Strength Indicator (RSSI). The parameters within this model significantly impact distance estimation and localization accuracy. Therefore, a method that accurately characterizes the model is critical. This work proposes an orientation-based localization technique utilizing RSSI and trilateration. Measurements were conducted between two ESP32 units in various orientations to obtain optimal parameters for each specific scenario. To assess the effectiveness of this approach, two scenarios were evaluated: one considering orientation and another neglecting it. The results show that incorporating orientation information leads to significantly more accurate positioning compared to the orientation-agnostic approach.

This paper addresses accelerometer array calibration, focusing on determining the errors between multiple sensors. Micro-electromechanical system (MEMS) based triaxial accelerometers, key components of Inertial Measurement Units (IMUs), are used in localization, robotics, and navigation systems. The requirements of these applications necessitate low-cost sensors, which makes MEMS IMUs a reasonable choice. However, these low-cost IMUs are significantly affected by systematic (i.e., bias, misalignment, scale-factor) and random errors. Achieving reliable sensor output depends on the precision of the executed calibration method. While traditional laboratory-based sensor calibration using specialized equipment (i.e., three-axis turntable) is accurate, it is time-consuming and costly. In contrast, in-field calibration techniques, which can be performed using a mechatronic actuator or a robotic arm, have gained popularity. These techniques involve comparing sensor measurements to established reference values. The MEMS sensors are increasingly being used in multi-sensor applications, which demands not only individual sensor error calibration but also important to determine the axis misalignment between the used sensors. During calibration process, various optimization algorithms (e.g., GA, PSO) can also be used to find the error parameters. The proposed measurement system allows for individual calibration of misalignment, bias, and scale factor of the sensor array, and eliminates between-sensor misalignment errors.

In recent years, there has been a growing demand for wearable actuators, that can be worn on individual body parts. This demand is dynamically increasing due to the numerous potential applications such as rehabilitation and enhancing load-bearing capabilities. Exoskeletons are mechanical structures that supplement or facilitate human movements and increase the body parts natural capabilities. Despite their wide range of applications, rigid exoskeletons have several deficiencies that required further developments. Soft actuators have been developed to address these deficiencies, forming one of the main categories of easily wearable exoskeletons. The two categories - rigid and soft exoskeletons - complement each other in their structures during applications. Soft robotic elements enable precise and delicate movements while providing adequate flexibility during use and rigid units are responsible for the stable frame structure and fixation. Their combined use is applied for rehabilitation, occupational safety, and enhancing work performance purposes. The aim of this article is to physically realize a device that has a legitimate purpose in the field of human hand rehabilitation. The goal was to design, manufacture, and functionally test the elements of a device capable of assisting in the rehabilitation of fingers using completely flexible actuators.

The development of a 3-DOF robotic arm powered by pneumatic artificial muscles is represented as an innovative approach in the field of robotics, with the advantages of lightweight and flexible design being combined with the power and control benefits of pneumatic actuation. The design process, challenges, and solutions that were encountered in the development of the robotic arm are outlined in this paper, with an emphasis on its potential applications in industrial and research settings being highlighted. Additionally, the robotic arm’s modular design is enabled to allow easy customization and scalability, making it possible for the arm to be tailored to a wide range of tasks, from precise laboratory work to more robust industrial applications.

In my imaginations are about all the developments which can be connect with human health.In this study I show what are the main problems with all of the technological developmets all around the globe.There are so many publications which discuss the main problems and they tries to show the solutions, but these are the most difficult problems because the human do not want to leave the easier solutions about his life nowadays. It is enough to mention that the uses of bicycle instead of the cars especially ever since the European Union finished the all around development so bicycle ways in the area of and between the cities in Europen countries. It is important to know, that there are so many talented student in University of Miskolc, at Faculty of Healthcare, for example at Health-visitor and prevention professionals, who interested in in multi-and interdisciplinar borderlines of professionalism between science of health and law and technological science.We have to mention that this study is a begin of a new trend in this Faculty.

The subject of the research is a so-called the solar pot which is a new invention protected at the Hungarian Intellectual Property Office (utility model, patent number 5489). The pot can be used for heating or cooking (foods, drinks or other fluids). It has a similar structure to a double pipe heat exchanger with an outer jacket and an inner cooking space. Although it has been manufactured, its capabilities have not been tested neither by modelling and simulation nor with experiments and measurements, so these investigations represent a completely new research field. The goal of this work is the mathematical modelling of the pot which allows the prediction of the pot temperature. The modelling and the first simulation results based on it are presented in this paper, based on which conclusions can be drawn regarding the efficiency and applicability of the pot. Future research plan is also presented which includes the construction of an experimental system of the pot and a solar collector, and further modelling of the system and system elements. On the system, measurements will be made under different conditions, allowing the assessment of the pot’s functionality and the validation of the mathematical models.

This study aims to analyse the obstacles and constraints in the shipping and logistics in Laos, a landlocked nation in Southeast Asia. Transportation and logistics play a pivotal role in Laos' national economy, acting as the lifeblood for the movement of goods and materials within the country and linking it to the international trade system. This case study highlights the significance of a robust logistics structure for Laos and its essential role in fostering economic development, agricultural growth, and connectivity. It also underscores the challenges faced by the country's logistics sector, such as limited-service frequency and road safety concerns. The study examines Laos transportation infrastructure, encompassing road, rail, and air networks, and sheds light on the obstacles and disparities that hinder value chain development in the country. These issues include disconnected stakeholder participation, the aging vehicle fleet, and financial limitations. Furthermore, the essay emphasizes the need for improved interconnectivity and inter-mobility to enhance the national, regional, and international connectivity of Laos and similar landlocked developing countries in Asia.

The advent of the Internet of Things (IoT) has opened up new opportunities in education, particularly in the field of mobile robotics. Mobile robotics is a fast-growing field, and with the increasing demand for skilled robotics engineers, it is essential to provide students with hands-on experience in designing and developing robots. In this regard, an IoT-based 3D printed mobile robot platform has been developed for students training. STEM (Science, Technology, Engineering, and Mathematics) education has been gaining attention as a means to improve science and engineering education. STEM education aims to foster critical thinking, problem-solving skills, creativity, and innovation among students. It involves an educational policy that aims to develop the next generation of skilled professionals by integrating the fields of Science, Technology, Engineering and Mathematics. The goal of this approach is to provide students in mechatronics, who are assigned to the robotics lab during their studies, an up to date knowledge and experience in research and development activities. Thus, this paper aims to provide education that focuses on the acquisition and application of engineering knowledge, including control engineering, mechanical engineering, electrical and electronic engineering, information engineering, among others, with the main focus on mobile robot research.

Animal food, especially meat, has played an important role in the history of mankind. Different meats can be used in the production of meat products. In addition to lean meats, mechanically deboned meat (MDM) and mechanically separated meat (MSM) can also be used in meat products. However, the latter does not qualify as meat due to damage to the muscular structure due to the high pressure applied during the separation, therefore cannot be included in the meat content of products. The aim of our research work was to compare the characteristics of Bologna sausages made from chicken fillet, chicken MDM and poultry MSM. After evaluating our measurements (cooking loss, colour measurement, instrumental chemical composition measuring, stock measurement, determination of water activity, pH measurement, and sensory evaluation), we concluded that in the case of production with MSM, we produced a lower quality product using the same amount of meat raw material, which can be improved by using more additives (e.g. carminic acid, tetrasodium-pyrophosphate).

Our research investigated the dielectric traceability of microwave and ultrasound intensified extraction processes of plant by-products. For the experiments, I used plant by-products from beetroot, carrot and raspberry, which were extracted in 5% suspensions. The dielectric behaviour of the extracts was investigated in the frequency range 300-2400 MHz using an open-ended coaxial probe. For both the ultrasonic and microwave intensified procedures, the reported energy was 30, 45 and 60 kJ, respectively. Based on my research results, I found that the dielectric constant measured in the frequency range 700-900 MHz is closely related to the yield of total polyphenol and pectin regardless of the feedstock and treatment used, but the method has limitations due to the presence of components that affect the physical structure and the concentration of target components below the limit of detection.

Water is a vital component of life that is abundantly available on planet Earth. However, a significant amount of the world’s water is not fit for direct use and drinking due to salinity and contaminants. Salinity coupled with the impacts of population growth, industrialization, climate change, and pollution has led to the decreasing supplies of safe drinking water. The desalination process has emerged as a decisive solution to meet the increasing demand for potable water. The distillation process particularly through a solar still, has gained importance for the purity of salty and contaminated water using solar energy. Solar stills have the potential to solve the problem of drinking water, especially in remote areas and villages. A simulation-based study was conducted to analyze the desalination process in a single slope solar still using ANSYS Fluent in Peshawar, Pakistan (coordinates: 34.0151°N, 71.5249°E). The study was focused on investigating the various parameters including glass temperature, water temperature, heat transfer coefficient, and volume fraction of water and vapors. The simulation results illustrate the significance of various parameters influencing the performance of the solar still and provide crucial information about the temperature profile and condensation formation, which plays a vital role in the overall efficiency of the desalination process within the solar still.

Constructed wetlands (CWs) are considered one of the most efficient solutions for treating wastewater and reusing water resources. The present study aimed to monitor the performance of an integrated constructed wetland (ICW) located at NUST, H-12 campus, Islamabad. It has a sedimentation tank for pre-treatment, eight ponds planted with different vegetation (Typha latifolia, Pistia stratiotes, and Centella asiatica), and a FILTER (filtration and irrigated cropping for land treatment and effluent reuse) technology. The objectives of the present study were divided into the analysis of the physicochemical parameters, microbial analysis, and comparison with the past studies on the same ICW. The samples for physicochemical and microbial analysis were collected from four points, i.e., the inlet, sedimentation tank, pond 8, and collection tank. The results indicated that average temperature, pH, and DO range between 23.95-24.20, 6.95-7.20, and 2.25-3.10, respectively. Whereas other parameters showed the removal efficiency as follows: EC 10%, turbidity 73.99%, TSS 79.16%, TDS 32.60%, TS 47.22%, COD 69.01%, NO3-N 52.76%, NO2-N 50.53%, TKN 63.50%, and PO₄³⁻ 41.24%. Gram-negative bacteria with dominating microbial species such as Salmonella, Shigella, and E. coli were found to have a removal rate of up to 95%. The findings indicate that ICW is effective at removing pathogenic microorganisms, organic contaminants, nutrients, and maintaining temperature and pH changes in the water. Moreover, the comparison with past studies showed that the performance of ICW has been maintained over the years.

Use of site-specific response spectrum has become an integral part of seismic hazard analysis to incorporate the effects of soil beneath the structure. Current study has been performed as a result of lesson learned from recent devasting Turkey earthquake of 6th February 2023, where design ground motions were greatly exceeded. This study presents development of site-specific response spectrum and its comparison with recently published building code of Pakistan, 2021. The results of this study indicate that mobilized shear strength of input motions increased along depth due to development of different shear strain in different soil layers which affected the shear modulus showing its resistance to deformation by exerted shear stress. Input bedrock motions with PGA of 0.31g amplified at the surface up to 0.36g as result of response from the soil profile used. After comparison with design spectrum of building code 2021, it is further validated that the development of site-specific response is underpinning when using design spectrum of BCP-2021 developed for return period of 475 years under currently used soil/site conditions.

Trace element contamination in water is a global issue due to its widespread occurrence and health effects. Regular intake of elevated metal levels in drinking water can unequivocally cause several types of cancers. This study was primarily focused to assess the quality of drinking water in Allai, Nagar and along River Indus. So for this study a total of 64 spring, 14 waterfall and 7 glacier water samples were collected. Additionally, 13 sediment samples were also collected from Allai and Nagar which were located in the vicinity of mountainous River Indus, Pakistan. The samples were tested for arsenic, calcium, chromium, copper, iron, lead, magnesium, potassium, sodium and zinc using inductively coupled plasma optical emission spectroscopy so as to get the elemental concentrations in parts per billion. The range of metals and other trace elements were compared with the guidelines of World Health Organization (WHO) and the standards laid down by Environmental Protection Agency of Pakistan. The results revealed the (minimum-maximum) concentrations (µg/L) of drinking water quality parameters as follows: arsenic 0-0.06, calcium 1.74-176.87, chromium 0-0, copper 0-0, iron 0-0.25, sodium 1.27-292, potassium 0-24.01, magnesium 0.05-120.22, lead 0-0 and zinc 0-0. Moreover, the (minimum-maximum) concentrations (µg/L) of sediment samples were recorded as arsenic 0-0. 88, calcium 42.98-2068, chromium 0.16-0.65, copper 0.12-1.76, iron 166-544, sodium 8.99-15.36, potassium 35.57-247, magnesium 47.14-453, lead 0-0.23 and zinc 0.67-1.66. The study concluded that all the samples collected from the vicinity of River Indus had elemental concentrations within the recommended guidelines set by the National Drinking Water Quality Standards of Pakistan and WHO. Furthermore, a detailed study encompassing samples from the springs, glaciers, waterfalls and lakes is recommended to evaluate the possible trace element contamination either due to deposition or mixing of metal bearing rocks with water both in the low lying and highland areas of Upper Indus Basin. The outcomes of this research can be useful for the concerned authorities of Gilgit Baltistan and Khyber Pakhtunkhwa Province in the provision of safe drinking water to the people living in the vicinity of River Indus, Pakistan.

Plastic pollution is a critical environmental issue leading to extensive ecological damage and posing health risks due to the persistence of petrochemical-derived plastics. Biodegradable films particularly those derived from renewable resources like corn waste offer a promising solution to this issue. Corn waste including husks, stalks and cobs are rich in cellulose, hemicellulose and lignin making it suitable for biodegradable film production. Various methods such as chemical treatments, enzymatic hydrolysis and mechanical processes are used to extract useful components from corn waste followed by film formation techniques like casting and extrusion. Corn waste films exhibit mechanical and barrier properties comparable to conventional plastics with the added benefit of faster biodegradability. These films have potential applications in packaging and agriculture reducing plastic waste and supporting sustainable practices.

Red rot in sugarcane is a devastating fungal disease caused by Colletotrichum falcatum. It leads to wilting, red discoloration, and yield losses, which can impact sugar production globally. Red rot hampers sugarcane production, causing yield reductions, and economic losses, and affecting the nation’s sugar industry demanding stringent disease management strategies. There is a need of a system that detects the red rot disease at an early stage before it spreads. Transfer learning enhances agricultural models, leveraging pre-trained data for improved crop predictions, resource optimization, and sustainability. In this article, we have proposed a transfer learning-based VGG16 model for the detection of red rot disease in sugarcane on a large dataset. The model achieves a remarkable 98.85% accuracy and an F1 score of 0.93 in early red rot detection in sugarcane. This work underscores the potency of leveraging re-trained models for crop disease identification, offering a promising avenue for proactive disease management. This research marks a substantial step towards enhancing crop yield and sustainability, presenting an accessible and impactful technological solution for early disease detection in sugarcane, ultimately benefiting agricultural practices.

Today’s environment is under the influence of numerous substances and most of them are not covered by current national and international regulations. Substances that are classified as contaminants of emerging concern, CECs, are not regulated nor systematically controlled in the environment, and they belong to the different chemical classes such as pesticides in current use, pharmaceutically active compounds (PhACs), personal care products, illicit drugs, hormones, micro- and nano-plastics, per- and poly-fluoroalkyl substances (PFAS), and many others. Once released CECs end up in surface water where they can be either accumulated or transported to the other environmental compartments, i.e. soil (by irrigation), underground water, or drinking water. The aim of the research was to investigate the efficiency of different selected solid-phase extraction (SPE) cartridges for preparation of water samples for simultaneous analysis of several CECs. For this purpose, a model mix solution of selected CECs in concentration relevant to environmental appearance was used. The selected CECs (14 PhACs, 11 pesticides in current use, and 4 PFAS) represented emerging contaminants with different properties, including polarities, and varying adverse effect on the environment and human health. Different types of sorbents were investigated: (i) commercial single-layer HLB, (ii) homemade multi-layer I: HLB plus a mix of WAX, WCX, and PPL, and (iii) multi-layer II: mix of WAX, WCX, and PPL plus HLB. The results revealed that the single-layer sorbent showed better efficiency in extraction of the analyzed CECs. Multi-layer sorbent should be further investigated to elucidate the possible reason for the poor extraction of some compounds, as development of a balanced extraction for a wider range of contaminants with different polarities, especially for non-target analysis of chemical residues, is required in order to capture the occurrence of the full profile of micropollutants.

The leading export product of Hungary is canned sweetcorn, which is available in single-component or blended varieties with a focus on colour retention, for wich the food industry mainly uses ascorbic acid and EDTA in the brine of canned vegetable. Thoughtful customer behavior is pushing the food industry to switch to natural plant extracts instead of synthetic additives. In order to investigate if acerola plant extract is suitable as a replacement for ascorbic acid, we investigated the potential uses of two varieties of acerola extract in three different concentrations in the case of canned mixed sweet corn and red bean. After production, and after 1 week of thermostating at 55°C and storage at room temperature for 4 and 8 weeks, the changes in pH value, salt concentration, water-soluble dry matter content, colour, total polyphenol content, and antioxidant capacity of the brine were all evaluated in this experiment. The results showed that both acerola extracts were promising in fixing the colour, with the higher application of the first extract and the lowest and highest dosage of the second extract showing the best results. During storage, the polyphenol content and antioxidant capacity of some samples decreased slightly compared to their initial values.

The 3D printing technology involves a digital manufacturing machine that produces three-dimensional objects according to designs created by the user via 3D modelling or computer-aided design/manufacturing (CAD/CAM) software. This work analyzes the processing timeline of the filament (material for 3D printing) from unboxing to the extrusion trough the nozzle. It is an important task to analyze the growth of bacteria on 3D printed surface and in gaps between the layers. By default, 3D printed object is not food safe after longer usage and direct contact with food (even though the food safe filaments were used), but there are solutions for this problem. We tested several methods to prevent or reduce the emerging microbial contamination. These methods are coating with epoxy resin, using antimicrobial and high temperature-resistant filaments. The best results were obtained by epoxy resin coating, where the object was cleanable like any other injection molded plastic object with smooth surface. Very good results have also been obtained by boiling the objects, and it is good to see that nowadays more and more special filaments have food safe certificate and can withstand boiling temperatures too. Using antibacterial filaments reduced bacterial colonies by 80%, which is not a perfect solution.

Inventory management has a different meaning in agriculture than in a commercial chain, but it is just as important. In most cases, the purpose of the inventory is to satisfy demand. Demand and supply do not always meet at a predetermined place and time but are shaped by external circumstances. It is the same in agriculture. Our research aims to present and compare simple inventory management methods through a practical agricultural example and to examine the ethical aspects. To manage inventory, we have to make an appropriate decision in the following two questions: when to order and how much to order. There are three basic inventory mechanisms: cycle inventory, damping inventory, and two-warehouse inventory. There are three levels within business ethics: macro-, meso-, and micro-level. In the case of the examined agricultural limited company, the meso- and micro-levels are affected by ethical problems. When handling inventory improperly, can the employee be held liable, or is the company responsible? The agricultural sector began to develop, which is mainly the result of developments in the use of information technology. Even so, many farms still use outdated methods, which should be changed to operate more economically

In industrialised countries, around 670 million tonnes of food are lost every year, much of it still fit for human consumption. Due to the special nutrient management of organic farming, root vegetables have a higher dry matter content and a lower nitrate content, which also affects their shelf-life. The effect of storage under domestic conditions was investigated in our experiments on organic and conventional carrot lots. It was found that packaged organic carrots in a 4°C environment showed the longest shelf life, lowest nitrate content and weight loss during household storage. The results of the experiment may contribute to lower food waste through changes in consumer habits.

Statistical tests like t test are used to test the hypothesis for comparison of mean between two groups. The result from a t test is used to determine if there a significant difference between the two samples mean, which cannot be attributed to sampling error or to random occurrence. A t test is considered a parametric test, meaning test samples should meet assumptions of normality, equal variances and independence. The article aims to calculate the power of unpaired t test using simulation in Microsoft Excel.

The presence of different bird species in inhabited areas is becoming increasingly common. The problem with these species is that they are more likely to spread pathogens, contaminate public and private land with their droppings, cause economic damage or even frighten the public. One of the most notable conflict species causing environmental pressures in populated areas is the feral pigeon (Columba livia f. domestica), whose populations are increasing worldwide. Adequate practices and methods are available to reduce the problem. However, their applicability and effectiveness may vary from one locality to another due to the different characteristics of the localities and the different causes of the pigeons' presence. Therefore, it is essential to think in terms of town-specific solutions, the preparation of which requires, among other things, an assessment of the temporal and spatial pattern of occurrence of the species causing the conflict, an understanding of the extent of damage and an overview of the population's level of information. In our study, we investigated the environmental pressures of the feral pigeon in the historical city centre of Sopron, using a combination of the three elements mentioned above. For this purpose, we carried out a monthly visual population assessment combined with a photographic technique at sample points for one year. We conducted a field visit to the area to draw up a damage map of the study area and a spatial localisation of existing control methods. Questionnaire surveys complemented this to assess the public's awareness of the issue. In light of the results, we drew up a map of the pigeon conflict in the city centre of Sopron and identified possible solutions.

Green hydrogen, using renewable electricity that breaks down water molecules into hydrogen and oxygen, holds great promise for meeting global energy demand while contributing to climate policy goals. Interest in green hydrogen production technologies has increased considerably. This is because the potential uses of hydrogen cover many sectors, including power generation, manufacturing processes in steel and cement production, fuel cells for electric vehicles, and power grid stabilization. One possible use of green hydrogen is to blend it with natural gas and deliver it to end-users using existing natural gas pipeline storage and networks, thereby increasing performance and reducing emissions. In the case of underground storage of a hydrogen natural gas mixture, it is important to assess its impact on the reservoir beforehand, which rock permeability studies can do. This article deals with the theory of rock permeability testing for natural gas and natural gas-hydrogen mixtures.

The goal of gasification is the conversion of solid fuels or carbonaceous wastes to gas that can be further used energetically or for chemically utilisation. Due to cost-effectiveness and gaining experience, the industrial application of new systems and raw materials or mixtures must be preceded by laboratory-scale experiments. The manuscript presents the laboratory scale gasification systems we designed and used, as well as the difficulties experienced during the implementation (e.g. water introduction, sealing, etc.). In addition to these, the results of one-, two- and three-stage experiments are presented as examples, where different materials such as a mixture of wood and canteen waste, brown coal and refuse derived fuel (RDF) were used for testing the system.

In this research, a lactic acid-based biodegradable polymer (polylactic acid, PLA) was chemically modified and the mechanical material property changes were studied. The hardness and elastic modulus were determined with a nanoindentation instrument. The modified PLA was compared to the unmodified control group. Each group contained 5 different samples and t-test was performed to compare the mean difference of the hardness and elastic modulus between the two groups. A statistically significant result was obtained both in the hardness and elastic modulus due to the modification. The treated sample structure has become more inhomogeneous as well. The elastic modulus of the modified PLA reduced in its hardness and elastic modulus compared to the control PLA.

In my research work, I primarily focused on the investigation of yogurt (made from home-made raw milk) spoilage by microbiological and dielectric measurements. During the experiment, I continuously monitored the changes in aerobic and anaerobic Lactobacillus cell counts of the product, as a possible spoilage process would cause the deteriorative microbes to displace the lactic acid bacteria, and I also monitored the changes in the dielectric properties of the sample material at 400 MHz frequency. The research results verified that there is a strong correlation between the variation in live cell counts and dielectric parameters in both aerobically and anaerobically cultured lactic acid bacteria. The main conclusions of the results are that the change in the bacterial count, and thus the deterioration process leading to it, can be indirectly monitored in the dairy product under study by low-frequency determination of both the dielectric constant and the loss factor.

Nowadays, instead of traditional wheat grains, alternative cereals, also known as pseudocereals, are increasingly coming to the fore. The reason for this is, among other things, that more and more people struggle with food allergies and intolerances. Gluten-related disease - such as gluten sensitivity - is a chronic disease of the small intestine with malabsorption, which is triggered by gluten, a vegetable protein found in certain cereals, in people who are sensitive to it. Because of this, the demand for foods in which alternative gluten-free pseudocereals play a prominent role has understandably increased. Our research and development goal was aimed at getting to know and examining the different raw materials and their functional enrichment possibilities, which has led to the development of a new range of pasta products.

The basis of the long-term success of dental implants is the mechanical stability of the implant and the superstructure anchored in it. In order to investigate the mechanical behaviour of the conical connection in implant-abutment units, static and dynamic load tests were performed with different conical angles and various Grade 4-5 titanium implant materials. The assembled units were mounted in self-developed loading machine and in an Instron ElectroPuls E3000 fatigue machine. For static loading, the samples were loaded with a force from 0 N to 500 N in steps of 100 N. For dynamic loading, the samples were loaded for 30,000 cycles with a force of 250 ± 150 N. In case of static testing, the compression caused by the load was measured in both horizontal and vertical directions, while in the case of dynamic fatigue, only horizontal deformation was defined. In both cases, the drive-out (reverse) torque values of the fixing screws were determined after loading. No significant differences were found between the tested materials in the reverse torque after the static load, however, significant differences were shown with regards to the alterations in cone angle (p < 0.001). After dynamic loading, significant differences (p < 0.001) were also observed between the reverse torques of the fixing screw in different angles. The static and dynamic test results showed the same tendency: under the same load conditions, the conical angle value of the implant-abutment connection revealed significant differences in the loosening of the fixing screw. In summary, it is recommended to use higher conical angle connection to avoid larger deformations in lengths and diameters of the implant at the connection and essential torque reduction of the fixing screw. Our results may contribute to the understanding of the long-term success of dental implants.

The food industry has been at the forefront of rapid implementation for several technological innovations. One of the main reasons for this is that food security has been of paramount importance in supplying a growing population, taking into account both quantitative and qualitative requirements. And the necessary development could only be ensured by incorporating the latest developments. Blockchain technology is also a tool to consider in terms of how it can help track food chains. Its widespread application is only a decade old, but in some areas, for example, the operation of cryptocurrencies has already accumulated enough experience to see if it really lives up to the hopes attached to it, and what problems still stand in the way of further spread. With this material, our primary goal is to present a significant technological change that aims to solve one of the main problems of blockchain-based data management. It will be presented how the technology works (with a specific focus on the proof of work mechanism) and the transition to a truly significant platform, the proof of stake mechanism at Ethereum. This gives us an idea of how much a relatively new technology can undergo changes, and at what rate a seemingly significant problem (in this case, e.g. environmental impact) can decrease. This potential for development provides the basis for counting blockchains as a technology that can be applied in other areas, such as the food industry. In addition to scientific treatises, we often rely on Internet sources in the material, since the change occurred so quickly that publications in scientific journals could not yet track it or only in a narrower circle.

In Hungary, viticulture and winemaking have a very long tradition and culture. Nowadays, more and more consumers are paying attention to the nutritional properties of the food they consume, in addition to their enjoyment value. Wines can have an outstanding antioxidant content. The amount of antioxidants can be influenced by a number of parameters (wine-making technology, grape variety, area under vines, etc.). Antioxidants play an important role in the preservation of health, as well as inhibiting oxidation processes in food. Dielectric material analysis methods are also increasingly used in the food industry. The great advantages of dielectric testing include its chemical-free nature and the speed of the test. In our studies, we have investigated the food properties, i.e. alcohol, acid and antioxidant content and dielectric properties of different wine samples

Phytomining of rare earth elements (REEs) provides a potential possibility for metal recovery at brownfields where conventional mining technique is not reasonable or profitable. The holistic concept of phytomining is instituted from three scientific sectors. Phytoextraction is the first stage referred to accumulation of REEs in plants. This is followed by the enrichment process aiming to elevate metal concentration into solid remains. Eventually, extraction technology is applied to reclaim these valuable metals from the bio-ores. The main goal of this study is to identify a possible location for REEs phytomining, which lays the groundwork for further investigations. To do that, different woody biomass from disparate contaminated spots was harvested and examined. A brownfield land located in Gyöngyösoroszi, Hungary has been selected based on the elemental analysis of ash samples obtained from the incineration of the collected plants at 500 °C. The outcomes also preliminarily indicate the viability of phytomining in recovering REEs.

The metropolitans of the developing countries are experiencing the hazard of low quality drinking water. Lahore, the heart of Pakistan, has over 12 million population and is going to face the shortage of clean drinking water. The study was designed to create a groundwater vulnerability map of Lahore using modified DRASTIC model. The water table, land use/cover, hydraulic conductivity, vadose zone, soil and aquifer media layers of Lahore aquifer were analyzed using ‘geostatistical analyst’ and ‘spatial analyst’ extensions of ArcGIS software to compute the groundwater vulnerability. The Vulnerability index of modified DRASTIC model ranged from 64 – 144. The spatial variability of modified DRASTIC index were divided into 4 categories, namely, Low, Moderate, High and Very High groundwater vulnerable zones. The modified DRASTIC model revealed that 51.38% areas have low vulnerability, 36.77% areas have moderate vulnerability, 9.48% areas have high vulnerability and 2.37% areas have very high vulnerability to groundwater pollution. The ‘high’ and ‘very high’ vulnerability classes were found in the western parts of Lahore. The results of modified DRASTIC model were validated using the groundwater contamination data of arsenic in the study area. The groundwater arsenic concentrations map also showed higher values in the northwestern parts while in the eastern parts of the study area, the arsenic concentrations had a decreasing trend. In Ravi Town, the arsenic concentrations were positively correlated with modified DRASTIC vulnerability index and inversely correlated with water table depth (p < 0.01). It is recommended that the arsenic removal plants should be installed at all the tubewells with higher arsenic levels (arsenic concentration > 50 ppb) to provide safe drinking water to the citizens of Lahore. It is recommended that the modified DRASTIC model based on geospatial techniques can be applied on other metropolitans of the world for taking preventive measures against massive water pollution.

Brain tumor detection is a complex problem in medical image analysis. Brain tumor is an abnormal growth of brain cells that is usually detected by Magnetic Resonance Images (MRI). In this paper, we propose an efficient algorithm for detecting brain tumors using MRI without skull removal. After applying basic image preprocessing techniques, morphological operations are used to detect the boundaries and sharpen the regions.Segmentation is performed using Otsu thresholding and then a marker watershed technique is used for final brain tumor segmentation. The proposed approach is evaluated on 3000 images from Brain Tumor Image Segmentation Challenge (BRATS) dataset. Experiments showed that with appropriate preprocessing and appropriate thresholding, good segmentation results can be achieved.

An interesting study is reported on establishing secret mining activity resulting in severe ground subsidence which occurred and was corrected later in a village called Dhery Saydan located near the world famous salt range region of Pakistan and is located on a hill top with about 2000 inhabitants. After reviewing many cases of similar nature and on basis of geophysical techniques like resistivity survey, it was established that secret mining activity had taken place resulting in massive cracking of dwellings coupled with sinking of water table. Thereafter a suitable construction methodology was applied to correct the huge structural defects and make the dwellings functional.

This paper's primary goal is to develop and conduct a structural analysis of a sheet metal control arm used in the front suspension system. The control arm permits the wheel to move up and down but prohibits it from moving forward or backward. Additionally, the part is exposed to intense loads while performing its duty because the wheelbase is attached to the chassis on one end. To create sustainable and competitive products, component material and design selection is a crucial topic in the industry. Shape optimization can be utilized as a design tool in the initial stages of the design process to fully satisfy the strength and endurance requirements on a component level. Here the focus is on a control arm where the structural requirements on it involve the part being exposed to stress-strain due to the applied forces which can be treated and reduced during the optimization process. This would enable engineers to design better products while reducing the cost of development significantly.

Reinforcement learning has been employed in recent research articles to optimize the energy storage system scheduling in microgrids, aiming to reduce overall system costs. However, applying reinforcement learning in real-time scenarios introduces uncertainties and delays due to the extensive training required to develop the optimal policy for the storage system. This work addresses these challenges and explores potential solutions for real-time dispatch control actions of the battery in a grid-tied microgrid. The study considers different approaches for training the agent, distinguishing between online and offline scheduling of the energy storage system. The limitations of these approaches and their implications on real-time performance are also analyzed. By developing a comprehensive microgrid model and comparing two training approaches, this research contributes to novel insights for efficient real-time scheduling of energy storage systems in grid-tied microgrids. The proposed approach presents a promising path towards addressing uncertainties and achieving optimal operation in grid-tied microgrids. In terms of average cost per year, the difference between the two approaches is 4% if foresight of the real data is perfect, otherwise the real-time approach is more cost-effective.

To get the required electrical, magnetic, structural and optical properties, materials are required to be doped with suitable impurities. The use of transition metals as a dopant in ZnO has been investigated to determine how they alter the various properties. Several research concerning the synthesis of TM-doped ZnO via various methods with the solubility limit of TM elements in ZnO has been reported. The distribution of the TMs into the ZnO matrix has been reported with divergent views. In this work, Mn doped ZnO nanoparticles has been synthesized by means of reasonable and ecologically friendly procedure by means of the liquid phase method with fewer conservational contaminants and no leftover products. The influence of the dopant on the structural properties of the produced ZnO nanocrystals was scrutinized using powder x-ray diffractogram (XRD). The Mn-doping concentration, x, was varied ( ) at temperatures of 180°C and 200 °C. Results of the lattice parameters, bond length, bond angles, crystallite size, strain, volume of unit cell, APF, number of unit cells, specific surface area and the density of the Mn-doped ZnO nanocrystal samples were be irregular in nature and not following a particular trend as the doping concentration increases. This variation in the values were due to the irregular values of the interplanar spacing and the observed variations in the shift of the peak angles as a result of the difference in ionic radii between Zn and Mn ions with Mn having multiple ionic radii since all the parameters are directly dependent on the value of the 2θ.

Flooding is Pakistan's most common natural hazard, and it is exacerbated by increased rainfall and urbanization. Khyber Pakhtunkhwa (KPK), Pakistan flood-prone zones were determined by superimposing six flood parameters in an ArcGIS environment: elevation, slope, rainfall accumulation, land cover, soil geometry, and gap/buffer from water channel. Cellular automata based on artificial neural network (CA-ANN) along QGIS plugin module of Land Use Change Simulations (MOLUSCE) was used for predicting year 2050 land use, with a kappa value of 0.83. The results indicated that of the 75775 km2 land area covered by this research region, 3.37% (2553.62 km2) falls in extremely high risk, 18.44% (13972.91 km2) falls in high risk, 11.26% (8532.27 km2) falls in moderate risk, 0.51% (386.45 km2) falls in low risk, and just 66.42% (50329.76 km2) falls in very low risk areas. In KPK, like in any other place, a multi-criteria flood risk-vulnerability assessment is consequently necessary for preparation and post-hazard planning. Without a doubt, the outcomes reported here are crucial for flood risk assessments and hazard management decision-making. Key words: natural disasters; floods; remote sensing; geographic information system, multi-criteria evaluation; weighted overlay.

This research paper has used a three-dimensional approach that combines Finite Element Analysis, the famous three-factor Design of Experiments by Taguchi, with the third dimension. An idea to optimize a Lithium (Li) and Lead (Pb) based Toroid is presented as they are known hazardous materials. The approach emphasized generating different run orders by a parametric variation of outer diameter, thickness, and base metal on the minimum and maximum specifications. Based on the Design of Experiments, the calculated run orders were modelled and simulated under the specified loading conditions to select the best combination of parameters. The analytical stresses generated in the combinations were compared with the numerical counterparts for model validation. On-Mises stress and deformation results from the simulation were analyzed to select the optimized design of Toroid structure and the final shape was modelled accordingly. The analytical and numerical stresses also showed good agreement with each other, supporting the validity of the presented approach. The method effectively models such specimens before fabrication, so that all material and geometric aspects can be finalized before risking physical contact with the actual worker.