Journal of Science Engineering Technology and Management Science

There are two designs of thin film narrow band-pass filters with several cavities. These filters, which are the most used filtering technologies, have been crucial to the advancement of technology in contemporary optical communication systems. This work focusses on a theoretical investigation of optoelectronics physics, which is primarily connected to the design and analysis of this kind of filter. The technology of thin film multicavity filters is briefly introduced. We'll cover some recent developments in thin-film multi-cavity technology design. TiO2 and SiO2 are the two materials used in these designs as high and low index. The three and four wavelengths (730,800 and additionally 835,432,560 and 774 nm) can be detected by these wavelengths, which range from 600 to 900 nm. The filter's function is to filter fused silica with index 4.23.

Keywords : Dense wavelength, division multiplex, band-pass filter

Author : Madhavi Latha

Title : Designing Thin Film for Wavelength Division Multiplexing

Volume/Issue : 2024;01(01)

Page No : 01-04

With the rapid proliferation of Internet of Things (IoT) devices, modern homes and industries are becoming increasingly security and control problems of electrical systems. As devices become interconnected, we find that traditional ways of managing electrical devices are no longer sufficient to address vulnerabilities. An IoT based device security and control system is proposed in this paper to enhance both the security and functionality of electrical infrastructures. With a combination of sensors, real time monitoring and secure communication protocols; the system allows the users to remotely manage and secure their electrical devices.

Keywords : IoT, electrical device security, remote control, anomaly detection, encryption, cloud computing, energy efficiency.

Author : Raja Sekhar and Anil Mohan

Title : Security and Control System for IoT-Based Electrical Devices

Volume/Issue : 2024;01(01)

Page No : 05-08

: The number of automobiles is steadily rising worldwide. Additionally, automobiles are being sent to Bangladesh's major cities. As a result, there are massive traffic jams and congestion that are becoming worse every day. Due to traffic congestion, residents of metropolitan areas are wasting a significant amount of time. To reduce traffic system congestion, we create an intelligent traffic control system. This traffic signal will be automatically controlled by the system. The light for the congested portion of the path will be green, while the other portion will be red if a specific number of cars are stopped at the traffic signal. The first path will reach a specific number of cars on the initial attempts, and the second will change to green first, then red. Furthermore, our intelligent traffic control system has the ability to sense ambient temperature. A specific car bearer will receive this signal and temperature information via Short Message Service (SMS)

Keywords : Red Signal, Short Message Service (SMS), Vehicle, Intelligent Traffic Control system

Author : Madhuri and Niharika

Title : Intelligent Traffic Control System Design

Volume/Issue : 2024;01(01)

Page No : 09-11

This paper primarily focuses on examining how distance impacts walking activity and patterns for classification purposes. The research provides a comprehensive overview of human walking behavior, the workflow of the tool programming language, detailed techniques for feature extraction and pattern classification, and the participants' perspectives. The study thoroughly documents all these aspects. The participant engaged in a variety of walking exercises in a controlled laboratory environment. It was discovered that the moderating effects of walking distance might account for the diversity in research output from the Gyroscope, Accelerometer, and Compass. When it comes to identifying human motion and patterns, the anticipated results will be very helpful to researchers and medical professionals.

Keywords : Accelerometer, gyroscope, pattern classification, and human motion

Author : Vijay Mehata

Title : A Mediating Factor between Pattern Classification and Walking Activity

Volume/Issue : 2024;01(01)

Page No : 12-15

In recent years, the increased adoption regarding the application of electronically controlled adjustable speed drives in manufacturing environments in industrial settings has led to a notable deterioration in power quality within the electric power system. This issue is especially prevalent in cement plants since they use more electric adjustable speed drives. This research examines the harmonic distortions produced by the electric drives with adjustable speeds at Anjani Cement Ltd. in Jaggayapet, Nalgonda, A.P., India. To determine whether harmonic currents or voltages are relevant, harmonic measurements have been done at a number of motor drives using a Fluke 564 power quality analyses. Based on these measurements and further computations, the harmonic content of these motor drives is examined and found to be kept to a minimum within the bounds of international standards. The capacity of power filters to lower harmonics has drawn a lot of attention lately. This study develops an active power filter based on real-time harmonic data readings to minimize harmonic in MATLAB/Simulink

Keywords : Drives with movable speeds, power quality, harmonics, power quality analyzer, active power filter, and harmonic reduction.

Author : Vijay Varma

Title : Industrial Motor Drive Harmonics Mitigation in Cement Plants Using Active Power Filters

Volume/Issue : 2024;01(01)

Page No : 16-21

Based on the network's modifications and the type of data it perceives; the machine learning system was specifically created to save energy and extend sensor life. Additionally, by combining similar types of data that are sensed inside the network coverage region, the sensor network is created using machine learning and the BAT computational approach to minimise the network under redundancy. Additionally, the network uses very little energy from the sensors, therefore feature sets in fuzzy-neuron machine learning mode are employed to choose neighbours. Furthermore, the packet speed sensed and the detecting intervals between packets are used to calculate the energy used by the sensor in the network. Additionally, the neural network is used to open and aggregate the data. The approach designed to reduce the aggregation method's energy use. The same data is then aggregated once that is finished (removing the noise from the data). This lowers energy consumption and increases the use of network resources. Furthermore, a routing path that optimises during the routing path development process is created using BAT computation, resulting in a consistent and energy-efficient path.

Keywords : BAT routing, fuzzy neural network, aggregation, redundancy, and sensor network

Author : Swathi Priya and Swetha Reddy

Title : Wireless Networks with Machine Learning Routing Enabled

Volume/Issue : 2024;01(01)

Page No : 22-27

Stone dust, a by-product generated duringcrushing stones, representsapproximately25% ofthe final productionfromunitsof stone crushing.Typicallyreleaseddirectly into the environment, stone dust contributes significantly to environmental pollution. In an effort to mitigate these adverse environmental impacts and promotes a stainable construction practices, stone dust can be effectively utilized either in the production of new materials or as partial substitutes for fine aggregates in concrete. This approach not only helps in the effective use of natural resources, but also minimizesenvironmental waste.In this study, stone dust is used as apartial replacement forafine unit and flyash additional cement material is used as a partial replacement for cement. The aim of experimental examination is to set optimal levels of substitutes of stone dust and flyash, which lead to improvement or comparable solid properties in concrete, specifically for the M40 class. The experimental program includes partial replacement of fine aggregate with stone dust in the ratio of 10%, 20%, 30%, 40% and 50% and partialreplacementofcementwith ash at 5%, 10%, 15%, 20%and 25%. Evaluate the mechanical properties of the modified concrete, standard specimens were prepared, including cubes of dimensions 150mm×150mmx150mm for Compressive strength testing, cylinders with a diameter of 150mm and a height of 300 mm for tensile strength and beams50cmx 10cmx 10 cmto test the bending strength. The resultsof this study will help to identify the optimal combination of stone dust and replace the fly ash toachieve sustainable and high-performance concrete, thus contributing to environmental protection and resource efficiency

Keywords : Stone dust; Ash, Compressive strength, Tensile strength, Bending strength

Author : K. Yuva Pallavi

Title : EXPERIMENTAL STUDY ON THE DURABILITY OF CONCRETE PROPERTIES USING QUARRY DUST AND FLYASH AS A PARTIAL REPLACEMNT

Volume/Issue : 2024;01(01)

Page No : 28-35

More than 50% of municipal solid waste (MSW) generated in Asian developing countries consists of organic matter, yet municipalities currently recover less than 1% of this potential resource through composting due to poor source segregation. This study demonstrates a practical and economically viable household-scale food waste composting system using anaerobic decomposition methods. Over a 15-day feeding period followed by 5-6 weeks maturation, we processed 1,327.5 g of kitchen waste, 393.75 g of dry leaf material, and 2,981.25 g of soil, achieving a final compost yield of 4,690 g (approximately 50% mass reduction). The resulting compost exhibited appropriate carbon-nitrogen (C:N) ratio (25:1 to 35:1), moisture content (50- 60%), and complete decomposition of feedstock materials. The composted product demonstrated significant plant growth stimulation when applied to horticultural plants. This low-cost approach (170 Indian Rupees capital investment) represents a scalable alternative to conventional waste management, requiring minimal space and maintenance while reducing landfill burden. Our findings support household-level adoption of anaerobic food waste composting as a practical strategy for sustainable urban waste management and soil amendment production in resourcelimited settings.

Keywords : food waste composting, anaerobic decomposition, municipal solid waste, sustainable waste management, household composting, organic soil amendment, source segregation, circular economy

Author : Sowjanya D,Subba Rao Kumbha

Title : SUSTAINABLE CONVERSION OF HOUSEHOLD FOOD WASTE INTO NUTRIENT-RICH COMPOST: AN ANAEROBIC COMPOSTING CASE STUDY

Volume/Issue : 2024;01(01)

Page No : 36-45

Higher education often requires students to leave their familiar hometowns and enter new environments, whether that be different cities, states, or even countries. While this transition offers valuable opportunities for academic, social, and personal growth, it can also present obstacles that negatively impact students’ academic success and overall well-being. This study examines the challenges faced by students studying away from home, focusing specifically on financial difficulties, cultural and language barriers, emotional and psychological struggles, housing issues, and adapting to unfamiliar educational settings. A mixed-methods approach will be employed to capture students' experiences alongside insights from experts. The findings aim to contribute to broader discussions about student well-being and institutional support, helping to deepen understanding of the challenges that affect students, educators, policymakers, and academic institutions. The goal of this research is to fill gaps in knowledge and inform potential interventions that support both academic achievement and personal growth

Keywords : First Year College Students, Financial Issues, Academic Challenge, Emotional WellBeing

Author : Dr. SUDHA RICHHARIYA, DEEPAK CHAND

Title : CHALLENGES FRESHMEN FACE ADAPTING TO THE DEMANDS OF COLLEGE

Volume/Issue : 2024;01(01)

Page No : 45-51

The work in this paper defines the problem with the application of intelligent methods for combining data from sensors in the analysis of agricultural and food products. Results and comparative analyzes from the researches of the indicated products with optical, ultrasonic, capacitive sensors and sensor devices, as well as combinations of them are presented. The features according to which the classification of the studied objects according to the indicated characteristics are performed, as well as a certain set of relations between them are defined. Methods and tools for classification and prediction of main indicators for product quality have been developed. The obtained results demonstrate that the algorithms used in determining the optical, ultrasonic and dielectric characteristics in the analysis of some food and agricultural products allow the development of adequate classification models for rapid and non-destructive determination of the main quality indicators of these products. Through the obtained results, it is proved that the classification methods and the predictive models manage to keep the values of the classification error low. It was found that the informativeness of the features, the choice of methods for reducing the volume of data and ways of classification and regression, depend largely on the product under study and its characteristics. This necessitates further research on the application of different types of sensors and combinations of them in the analysis of food and agricultural products. This obtained results has the prospect of direct application of data from visual images, spectral, ultrasonic and dielectric characteristics, in combination with the selected classifiers and prediction models in the systems for quality assessment of food and agricultural products.

Keywords : sensor data fusion, eggs, cucumbers, regression, comparative analysis

Author : V.NETHRA

Title : INTELLIGENT METHODS AND TOOLS FOR SENSOR DATA COMBINATION IN THE ANALYSIS OF FOOD AND AGRICULTURAL PRODUCTS

Volume/Issue : 2024;01(01)

Page No : 52-57

Long-term crop rotation has emerged as a pivotal strategy to sustain and enhance soil health by modulating microbial communities and soil fertility parameters. Empirical evidence demonstrates that diversified rotations, particularly those incorporating legumes or cover crops, tend to increase microbial biomass, shift community composition, and enhance Soil Organic Carbon (SOC), nutrient availability and enzyme activity. However, the magnitude and consistency of effects vary with rotation diversity, crop type, management (e.g., fertilizer, tillage), soil type and climate. In India, long-term experiments such as the AICRP-LTFE (All India Coordinated Research Project on Long Term Fertilizer Experiments) provide valuable insights into cropping system impacts on soil fertility but comparatively fewer studies address microbial diversity specifically. This review synthesizes global and Indian evidence from long-term field trials and meta-analyses, examines mechanistic links between rotation, microbial dynamics and fertility, discusses interactions with other management factors, and identifies research gaps. It concludes that while crop rotation is effective at improving soil microbial and fertility indicators in the long term, more harmonized, multi-site, molecular-level studies are required to underpin soil health monitoring and policy translation.

Keywords : Soil health monitoring and policy translation, multi-site, molecular-level, crop rotation

Author : Bassa Vasavi Kowsalya

Title : LONG-TERM IMPACT OF CROP ROTATION ON SOIL MICROBIAL DIVERSITY AND FERTILITY

Volume/Issue : 2024;01(01)

Page No : 58-72

Naturally occurring radon gas (222Rn) exists in groundwater and previous study of the problem of natural radioactivity in drinking water from wells drilled in rock types rich in uranium has shown tendency to have high radon concentration. It has been widely reported that radon is contributing the largest component of human exposures to natural radiation and it is considered as the second major cause of lung cancer, after cigarrete smoking. Seventeen (17) groundwater samples around Mika Uranium mineralization were collected and 222Rn concentrations were measured using the DURRIDGE RAD7 electronic radon detector. Radon (222Rn) concentrations in the groundwater ranged from 2350 to 46,200 Bq/m3 with an average of 29,400 Bq/m3 . The results show that 76.5% of the groundwater samples collected have 222Rn concentrations far above the US.E.P.A maximum contaminant level (MCL) of 11.1 Bq/l (for states without radon monitoring policy and enhanced indoor air programs), while 23.5% has values lower. Meanwhile, all 222Rn values were below the MCL of 100 Bq/l recommended by European Union (EU) for measurements that warrant consideration of possible remedial actions. Borehole samples show relatively higher 222Rn concentrations than samples collected from open-wells. The annual effective dose due to ingestion (Hing) of 222Rn in the groundwater ranged from 0.05 to 0.92 mSv, with an average of 0.59 mSv. These values are within the ICRP recommended reference level of 1 mSv/yr for the intake of radionuclide in water by the general public for a prolonged exposure.

Keywords : Groundwater: Radon: Nigeria: Hazard: External Hazard

Author : SHRUTI K

Title : RADIOCHEMICAL EVALUATION OF GROUNDWATER AROUND MIKA URANIUM MINERALIZATION AND ENVIRONS.

Volume/Issue : 2024;01(01)

Page No : 73-80

Broiler production relies on high-quality protein sources to support rapid growth, efficient feed utilisation and optimal carcass yield. Soybean meal and fish meal have long dominated commercial diets due to their balanced amino acid profiles and digestibility; however, rising global demand, fluctuating prices, land-use limitations and environmental concerns have accelerated the search for sustainable alternatives. This review synthesizes verified research on insect meals, fermented plant proteins, leaf meals, single-cell proteins and agro-industrial by-products as emerging protein replacements in broiler nutrition. Black Soldier Fly Larvae meal, Tenebrio molitor meal, fermented soybean meal, Spirulina, Chlorella and bacterial protein meals have demonstrated the ability to maintain or improve growth performance, feed conversion ratio, nutrient digestibility, gut morphology and meat quality in controlled feeding trials. Mechanistic insights reveal improvements in villus height, crypt depth, enzymatic activity, antioxidant markers and immune function. Sustainability assessments highlight reduced greenhouse gas emissions, lower water and land demands and valorization of organic waste streams. Despite these advantages, constraints include anti-nutritional factors, chitin content, variable nutrient profiles, processing costs, regulatory barriers and consumer acceptance issues. This comprehensive review consolidates multidisciplinary evidence to guide the strategic inclusion of alternative proteins in broiler diets and identifies future research priorities for scaling these ingredients into commercial poultry systems.

Keywords : Commercial poultry systems, Tenebrio molitor meal, broiler birds, controlled feeding trials

Author : KURUBA MANOHAR

Title : IMPACT OF ALTERNATIVE PROTEIN SOURCES ON GROWTH AND FEED EFFICIENCY IN BROILER BIRDS: A REVIEW

Volume/Issue : 2024;01(01)

Page No : 81-93

Seventy genotype of soybean were evaluated to determine genetic variability, heritability and genetic advance for 14 contributing characters. The analysis of variance revealed significant variations for all the characters. The estimates of phenotypic (PCV) and genotypic (GCV) coefficients of variation indicated that the values of PCV were slightly higher than that of GCV. This indicating less effect of environment on the expression of characters studied. High values of GCV and PCV were observed for plant height, number of pods per plant, seed yield per plant, number of clusters per plant, number of pods per cluster, number of seeds per pod and biological yield per plant. High estimates of heritability coupled with high genetic advance as % of mean was observed for seed yield per plant, 100-seed weight, plant height, number of pods per plant, biological yield per plant, number of clusters per plant and pod length.

Keywords : Soybean [Glycine max (L.) Merrill], variability, heritability, genetic advance

Author : DR. SUHAIL AHMED BHAT

Title : GENETIC VARIABILITY, HERITABILITY AND GENETIC ADVANCE IN SOYBEAN [GLYCINE MAX (L.) MERRILL]

Volume/Issue : 2024;01(01)

Page No : 94-100

Map Reduce is a popular parallel computing paradigm for large-scale data processing in clusters and data centers. A Map Reduce workload generally contains a set of jobs, each of which consists of multiple map tasks followed by multiple reduce tasks. Due to 1) that map tasks can only run in map slots and reduce tasks can only run in reduce slots, and 2) the general execution constraints that map tasks are executed before reduce tasks, different job execution orders and map/reduce slot configurations for a MapReduce workload have significantly different performance and system utilization. This paper proposes two classes of algorithms to minimize the makespan and the total completion time for an offline MapReduce workload. Our first class of algorithms focuses on the job ordering optimization for a MapReduce workload under a given map/reduce slot configuration. In contrast, our second class of algorithms considers the scenario that we can perform optimization for map/reduce slot configuration for a Map Reduce workload. We perform simulations as well as experiments on Amazon EC2 and show that our proposed algorithms produce results that are up to 15 _ 80 percent better than currently un optimized Hadoop, leading to significant reductions in running time in practice

Keywords :

Author : M VINOD KUMAR, K PRAVEEN KUMAR, K SOWMYA, P V KOMALI

Title : DYNAMIC JOB ORDERING AND SLOT CONFIGURATIONS FOR MAPREDUCE WORKLOADS

Volume/Issue : 2024;01(01)

Page No : 101-107

The Internet of Things (IoT) is the community ofphysical devices, vehicles, domestic appliances, and different itemsembedded with electronics, software, sensors, actuators andconnectivity which allows these matters to join andexchange data. The range of IoT units has improved 31%year-over-year to 8.4 billion in 2017 and it is estimated thatthere will be 30 billion units by way of 2020. Water air pollution is amajor environmental hassle in India. The greatest supply ofwater air pollution in India is untreated sewage. Other sources ofpollution encompass agricultural runoff and unregulated smallscale enterprise that consequences in polluting, most of the rivers, lakesand floor water in India. In this paper, An IoT Based SmartWater Quality Monitoring System the usage of Cloud and DeepLearningisproposedto display the nice of the water inwater-bodies. In traditional systems, the monitoring processinvolves the guide series of pattern water from variousregions, observed via laboratory checking out and analysis. Thisprocess is ineffective, as this manner is hard and timeconsumingand it does no longer grant real-time results. Thequality of water need to be monitored continuously, to ensurethe secure provide of water from any water our bodies and waterresources. Hence, the layout and improvement of a low-costsystem for real-time monitoring of water fine the use of theInternet of Things (IoT) is essential. Monitoring water qualityin water our bodies the use of Internet of Things (IoT) helps incombating environmental problems and enhancing the healthnd residing requirements of all dwelling things. The proposedsystem video display units the exceptional of water relentlessly with the helpof IoT devices, such as, ARDUINO UNO. The inbuilt Wi-Fi moduleis connected in ARDUINO UNO which permits web connectivitytransfers the measured statistics from sensors to the Cloud. Theprototype is designed in such a way that it can screen thenumber of pollution in the water. Multiple sensors are used tomeasure quite a number parameters to determine the great of water fromwater bodies. The outcomes are saved in the Cloud, deep learningtechniques are used to predict whether or not the water appropriate ornot.

Keywords :

Author : S SANDHYA, G SARITHA, R SATEESH, B BHARATHI

Title : AN IOT BASED SMART WATER QUALITY MONITORING SYSTEM

Volume/Issue : 2024;01(01)

Page No : 108-118

Molecular dynamics and coarse-grained simulations are essential tools for understanding the structural dynamics and functional behavior of nucleic acids at multiple length and time scales. However, conventional symmetric periodic boundary conditions (PBCs) often introduce artificial constraints that can affect accuracy, especially in elongated or directionally biased biomolecular systems such as DNA and RNA. This study presents an advanced simulation framework based on asymmetric periodic boundary conditions (APBCs) to enhance the realism and efficiency of nucleic acid simulations. The proposed approach allows differential periodicity along selected spatial dimensions, enabling more faithful representation of nucleic acid conformational flexibility while reducing finite-size and boundary artifacts. APBCs are implemented and evaluated in both all-atom molecular dynamics and coarse-grained models, demonstrating improved stability, reduced computational overhead, and better agreement with known structural and dynamical properties. The results highlight the effectiveness of asymmetric boundary treatments in multiscale nucleic acid modeling, offering a robust alternative to traditional PBC methods for high-accuracy biomolecular simulations.

Keywords :

Author : G VENKANNA, K CHAKRAVARTHY, M SWATHI, E SUDHEER

Title : ENHANCING NUCLEIC ACID SIMULATIONS USING ASYMMETRIC PERIODIC BOUNDARY CONDITIONS

Volume/Issue : 2024;01(01)

Page No : 119-128

The rapid expansion of online education has intensified the need for inclusive teaching approaches that acknowledge and value students’ diverse cultural backgrounds. Culturally Responsive Pedagogy (CRP) offers a framework for promoting equity, engagement, and meaningful learning by integrating students’ cultural experiences into instructional practices. This exploratory study examines faculty insights into the inclusion of culturally responsive pedagogy in online teaching, focusing on instructors’ perceptions, understanding, and experiences. Using qualitative and exploratory methods, the study investigates how instructors conceptualize CRP, the strategies they employ in virtual learning environments, and the challenges they encounter in implementing culturally responsive practices online. Findings reveal that while instructors recognize the importance of CRP for fostering student engagement and inclusivity, they face barriers such as limited training, time constraints, and technological challenges. The study underscores the need for targeted professional development, institutional support, and intentional course design to effectively embed culturally responsive pedagogy in online education. The results contribute to ongoing discussions on equity-driven online teaching and inform best practices for inclusive virtual learning environments

Keywords : Culturally Responsive Pedagogy; Online Teaching; Instructor Perceptions; Inclusive Education; Faculty Perspectives; Virtual Learning Environments

Author : M NAGA RAJU,V PALLAVI

Title : FACULTY INSIGHTS INTO THE INCLUSION OF CULTURALLY RESPONSIVE PEDAGOGY IN ONLINE TEACHING

Volume/Issue : 2024;01(01)

Page No : 129-17

The broad use of cloud-based services in the healthcare industry has made it possible for various participating entities of the e-Health systems to exchange personal health records (PHRs) at a low cost and with ease. However, putting the private health data on cloud servers leaves it open to theft or disclosure, necessitating the creation of procedures that protect the PHRs' privacy. Consequently, we suggest a technique named SeSPHR for PHR cloud sharing that is secure. The SeSPHR system makes sure that PHRs are controlled from a patient-centric perspective and maintains the maintaining the PHRs' privacy. Patients keep encrypted PHRs on unreliable cloud servers and only give certain people access. on various PHR sections, to distinct categories of users. a setup and re-encryption server, a semi-trusted proxy (SRS) is used to create the re-encryption keys and to create the public/private key pairings. Additionally, the process is safe. It implements a forward and backward access control and protects against insider risks. Additionally, we officially evaluate and confirm the use of the SeSPHR approach using high-level petri nets (HLPN). Evaluation of performance in relation to time Consumption suggests that the SeSPHR approach may be used for safely transferring PHRs to the cloud

Keywords :

Author : Dr A AVANI, Dr T BHARATH KRISHNA, Dr D PRANEETH, N SUSHMA

Title : SESPHR: A METHODOLOGY FOR SECURE SHARING OF PERSONAL HEALTH RECORDS IN THE CLOUD

Volume/Issue : 2024;01(01)

Page No : 138-148

In this article, we take a look at an electric vehicle (EV) charging station that uses solar photovoltaic (PV) arrays to improve power quality and can work either independently or in conjunction with the grid. When operating independently, the station uses the electricity from the PV panels to immediately charge the electric vehicle's battery. Connected to the utility grid, it may improve the quality of grid electricity via reactive power compensation while also supplying excess energy back to the system. In addition to controlling the charging and discharging of electric vehicle batteries, the suggested charging station can also do the following: (i) compensate for harmonic currents, (ii) charge and discharge electric vehicles at the same time with harmonic compensation, and (iv) discharge electric vehicles at the same time with harmonic compensation. Even when grid voltages are uneven, the management method keeps overall harmonic distortion of grid currents within the 5% level suggested by IEEE-519, ensuring dependable operation. The system is mostly built to work with the grid, but when grid synchronisation is lost, it immediately shifts to independent mode so the PV array can keep charging the electric vehicle battery. When the grid becomes available, the system may be securely connected with the help of a specific synchronisation controller.

Keywords :

Author : SK MYBELLI, MD GOUSIYA BEGUM, D SATYANARAYANA, A DURGA PRASAD

Title : Improvement of Power Quality in a PV Based EV Charging Station connected with Three Phase Grid

Volume/Issue : 2024;01(01)

Page No : 149-158

In the current study, the M25 grade concrete mixes are admixed with various locally available organic and non-organic corrosion inhibitors such as Calcium Nitrite, Sodium Nitrite, Hexamine and Diethanolamine to understand the influence of these organic and non-organic corrosion inhibitors on the strength and corrosion resistance properties of concrete. The percentage dosage of admixed inhibitors vary from 1 to 5% by the weight of cement. For M25 grade concrete the optimum percentages of corrosion inhibitor admixture was found to be 4% for Calcium Nitrite, 3% for Sodium Nitrite, 2% for Hexamine and 3% for Di-ethanolamine. Calcium Nitrite corrosion inhibitor admixture imparts increased compressive, split- tensile and flexural strength than other corrosion inhibitors at 28 days. All the corrosion inhibitors used in the study have enhanced the compressive strength, split tensile strength, and flexural strength of concrete. The initial gain of early strength decreased due to anodic process of inhibitors. Measured electrical resistivity and half-cell potential values of all corrosion inhibitors admixed M25 grade concrete mixes directs that calcium nitrate and Di-ethanolamine have shown high electrical resistance indicating their superior corrosion inhibition ability than sodium nitrite and hexamine. Accelerated corrosion test on reinforced concrete beams admixed with corrosion inhibitors confirmed that possible inception of corrosion in calcium nitrate admixed reinforced concrete beams is very low when compared to other corrosion inhibitors used for the study.

Keywords :

Author : Dr N V N PRABATH, A SAITEJA, G MADHULATHA, E DEEPIKA, A ALEKHYA

Title : ASSESSMENT OF INHIBITING EFFICIENCY OF ORGANIC AND INORGANIC CORROSION INHIBITORS IN CONCRETE

Volume/Issue : 2024;01(01)

Page No : 159-165

Archaeologies and understudies of history of today consider the to be of the wheel as the genuine beginning of any old civilisation. The wheel is conceivably the most fundamental disclosure of past occasions. The wheel has produced using just a curiously gigantic bearing to an absolutely key piece of any modem transportation vehicle. The moved vehicle is besides observed today an arrangement thing to upgrade individuals' individual necessities. Engine vehicles are made by astoundingly genuine principles to guarantee the thriving of the pioneers. Each part is along these lines sorted out by the criticality of the segment. Wheels are doled out a security basic part and overall cods and criteria are utilized or structure a wheel. The motivation driving the vehicle wheel edge gives a firm base on which to fit the tire. Its estimations, shape ought to be reasonable to enough suit the specific tire required for the vehicle. As of now comprehend expended on vehicle wheel edge having a spot with the plate wheel gathering is considered. Plan in a basic present day action which impacts the possibility of the thing. 3D appearing of the Volkswagen wheel which is specific state of edge (y-shape and u-shape )done in parametric programming CREO. Static, weariness and estimated appraisal is done ANSYS. In static evaluation forms the weight and removal by utilizing two astounding materials to be unequivocal aluminum composite and conveyed steel. Specifically assessment, to pick the shirkings and frequencies.

Keywords :

Author : Dr B RAVI, K NAGENDRA BABU, V ANUSHA, P SUDHEER KUMAR

Title : DESIGN OPTIMIZATION OF CAR WHEEL RIM USING FEA TECHNIQUE

Volume/Issue : 2024;01(01)

Page No : 166-181