bluuebunny/crossref_metadata_2025 huggingface dataset:
Tracing the origin of elevated springtime atmospheric sulfate on the southern Himalayan-Tibetan plateau
Authors: Dasari Sanjeev , Paris Guillaume , Pei Qiaomin , Cong Zhiyuan , Widory David
Published: June 2023

The Himalayan Tibetan Plateau (HTP) is one of the world's most climate-sensitive regions outside the polar regions.
Role of antisolvent temperature and quaternary ammonium cation-based ionic liquid engineering in the performance of perovskite solar cells processed under air ambient conditions
Authors: Ghosh Subrata , Boro Binita , Porwal Shivam , Mishra Snehangshu , Singh Trilok
Published: June 2023

Low-temperature of the chlorobenzene antisolvent and trimethylpropylammonium bis(trifluoromethanesulfonyl)imide ionic liquid at the TiO2/perovskite interface improves the device efficiency and stability.
Synthetic approaches for perovskite thin films and single-crystals
Authors: Soultati Anastasia , Tountas Marinos , Armadorou Konstantina K. , Yusoff Abd. Rashid bin Mohd , Vasilopoulou Maria , Nazeeruddin Mohammad Khaja
Published: June 2023

Halide perovskites are compelling candidates for the next generation of photovoltaic technologies owing to an unprecedented increase in power conversion efficiency and their low cost, facile fabrication and outstanding semiconductor properties.
Resilience‐oriented planning and management of battery storage systems in distribution networks
Authors: Gilasi Yasin , Hosseini Seyed Hamid , Ranjbar Hossein
Published: June 2023

The occurrence of unforeseen incidents is one of the major causes of extensive blackouts and financial damages to electrical networks. The utilization of distributed energy resources (DERs) as a local energy supplier can potentially reduce the destructive effects of unforeseen events along with their benefits for the normal operation of the network. In this paper, a new framework is proposed for the optimal siting and sizing of solar photovoltaic distributed generations (PVDGs) and battery energy storage systems (BESSs) in the distribution network to increase resiliency against the earthquake event considering the advantages of these resources in both normal and event conditions. Furthermore, an optimal energy pattern for BESSs has been provided that, in addition to being used for the normal condition, also prepares them for transferring to the emergency state. The objective function is formulated as a mixed‐integer linear programming (MILP) problem aiming at minimizing both the normal and emergency costs. Eventually, the numerical results of implementing the proposed model on the IEEE‐33 bus system are presented to illustrate its effectiveness and accuracy. These results show by using PVDG installation, the resilience can be improved by 14% while total installation and operating costs are reduced by 1.7%. It is possible, however, to decrease the load curtailment up to 55.46% by involving BESSs along with PVDGs, despite an 8.57% increase in costs.
Integration of solar and wind energy systems with PI and PID controller
Authors: Tummala Suresh Kumar , G Rakesh , Al-Kharsan Ibrahim H. , Shah Praveen Kumar
Published: June 2023

Because of the rising worry about global warming and the depletion of fossil fuel supplies, many individuals are looking into sustainable energy alternatives to protect the environment for future generations. Because of the situation of our deteriorating globe, eco-friendly items are more in demand than ever. The outcomes of using PI and PID controllers in solar and wind integration are compared in this research. This investigation contains a boost converter, an inverter, a converter, and three induction motors. Wind and solar energy are transformed to DC voltage, then to AC voltage via an inverter, and ultimately to a three-phase induction motor. The boost converter receives output from the wind energy conversion system (WECS). The solar output is routed to the three-phase complete converter. Sinusoidal pulse width modulation used in generating trigger pulses to the inverter. The output of the boost converter is fed into the common dc link by the three phase Sinusoidal pulse width modulation (SPWM) inverter, which converts its dc input to three phase AC output. This system's behaviour is examined using MATLAB Simulink.
Stabilization of alluvial soil with fly ash and GGBS as a subgrade for pavement construction
Authors: Koundinya Vadapalli , Rahul Bodapati Gnana
Published: June 2023

With the significant increase of construction activities in the road sector, the scenario has awakened the need for typical good quality soils for subgrade construction which are deficient in supply at many locations for numerous reasons. In this research activity, comprehensive study in the laboratory has been carried out to examine the use of fly ash and GGBS (Ground Granulated Blast Furnace Slag) to stabilize alluvial soils. Multiple influential properties such as UCS, CBR, Permeability, swelling potential, Compaction characteristics, and Atterberg limits were found for control samples and compared with the samples of distinct sequences of different percentages of Fly ash and GGBS ratio and on different curing periods. All the tests are performed by varying the Fly ash content to 5%,15%,25%,35% and 45% while keeping the GGBS content constant at 5% to the weight of dry soil. There is a remarkable change in the shear strength of the soil as the UCS value increased by 150% and the CBR value increased by 389% when the control sample is compared with those of treated samples with 35% Flyash+5% GGBS
A Sentence Level Classification of Telugu News Document using Sentiment Analysis
Authors: Bygani Jalaja kumari , Venkateshwaralu Yella , Ramana K.V.
Published: June 2023

In recent years, sentiment analysis-based categorization in low-resource languages and regional languages has become a hot topic in natural language processing. Researchers are more interested in categorizing sentiment in Indian languages such as Hindi, Telugu, Tamil, Bengali, Malayalam, and others. To the best of our knowledge, no microscopic study on Indian languages has been published to yet due to a lack of annotated data. Using Telugu sentiment analysis, we presented a two-phase classification technique for Telugu news phrases in this work. It first recognizes subjectivity categorization, which categorizes statements as Positive, Negative, or Neutral. Sentiment Classification is the next step, which divides subjective statements into positive and negative categories. We get an accuracy of 81 percent for sentiment analysis categorization using this method.
Design and Analysis of Bladeless Wind Turbine
Authors: Badri Nithin , Peddolla Vamshi , Gottumukkala Hutchinson , U.S. Jyothi , S Aparna
Published: June 2023

The idea of bladeless windmills is based on the vortex shedding effect hypothesis. A wind-powered generator with the fewest moving elements is the vortex bladeless windmill. The oscillation or vibration caused by the wind is used to generate the electric current. As a result, piezoelectric material or a linear alternator are used to generate electricity. In this project effort, we attempted to increase the vortex-induced vibrations of the turbine built of Epoxy Carbon UD (230GPa) by altering the design of the mast and base. The maximum deflection is 0.22775m (condition 7) at 10 m/s2 acceleration.
Design and failure analysis of cylindrical shells due to explosive loads
Authors: Chitti Ramarao , Busakala Vamsi Krishna , Karanam Aravind Swamy , Pothireddi Teja , P.H.J. Venkatesh
Published: June 2023

Metal cylindrical shells are widely used to store and transport highly hazardous chemicals and used as pressure vessels and pipelines. These structures can be subjected to explosive loads to accidents, terrorism, or military actions. The design of the cylindrical shell is to be done to resist the internal explosive pressures. This paper is viewed on the design of the cylindrical shell which can be used in real life applications to resist the internal pressure caused due to explosion of the fluid in it. The design process involves the determination of explosive loading, structural analysis, selection of appropriate material and the dimensions of the shell. The shell design is conducted in CATIA modelling software. The failure analysis of the cylindrical shell is conducted on the ANSYS 2021 R2 to determine the deformations and the stresses developed in the structure. By varying the shell geometry and load acting, the structural analysis is conducted.
An Overview on the applications of different polymers in capture of Carbon dioxide from atmosphere
Authors: Bharti Uma , Pathania Anu Radha
Published: June 2023

Carbon dioxide discharges are increasing at a quick speed in the environment. CO2 is a significant ozone-depleting gas, and its exhausts induce overall temperature variations, which bring about ecological adjustment. As the world accelerates in its battle against environmental modification, climate can differ from one location to the next. Still, when we talk about climate modification, we’re discussing a variant in the usual weather patterns of an area. This could be because of a change in the Planet’s average temperature or maybe a modification in the number of rainstorms and snow. Human beings are progressively affecting the environment as well as the Planet. This includes many greenhouse gases contrasted to those discovered naturally in the atmosphere. Environment change is specified as an adjustment in the average conditions of an area, such as temperature level and rains, over an extended period of time. When we see where climate adjustment influences, unfortunately, it is throughout the world. This presentation will most likely go over various case studies. This evaluation focuses on carbon capture issues with the very best probability of limiting CO2 exhausts to the atmosphere from big point sources. According to a brand-new study that combines the most up-to-date research studies from the United Nations, the buildup of unmatched quantities of greenhouse gases in the environment devotes the world to disastrous future warming. Tape levels of greenhouse gases in the environment dedicate the Earth to disastrous future warming.
Influence of Varying Grain Size & Microstructural Constituents on the Corrosion Rate of Steel- An Overview
Authors: Lawal Sunday L. , Afolalu Sunday A. , Jen Tien-Chien , Akinlabi Esther T.
Published: June 2023

Variation in grain sizes via different approaches affects steel’s microstructural properties and corrosion performance. Hence, there is a tendency for internal stress, strain, and texture in the alloyed material. This study established that grain refinement does not necessarily change the corrosion rate, especially for coarse grain size. However, it increases when the refined grain size is deployed into the material. However, the reason for the variation in the corrosion performance behavior of the two types of grains lies in the type of experimental set-up and its application. Subsequently, it was established in this study that the mechanical and microstructural performance of steel depends heavily on the type of grain boundaries. Thus, refined grain boundaries help as surface asperities in materials which eventually improves the microstructure and, most importantly, its corrosion performance in a particular medium.
Racism detection using deep learning techniques
Authors: L Sukanya , J Aniketh , E Abhiman Sathwik , M Sridhar Reddy , N Hemanth Kumar
Published: June 2023

With the pervasive role of social media in the socio-political landscape, various forms of racism have arisen on these platforms. Racism can manifest in various forms on social media, both concealed and overt. It can be hidden through the use of memes or exposed through racist comments made using fake profiles to spread social unrest, violence, and hatred. Twitter and other social media sites have become new settings in which racism and related stress appear to be thriving. Racism also spread based on characteristics including dialect, faith, and tradition. It has been determined that racial animosity on social media poses a serious threat to political, socioeconomic, and cultural equilibrium and has even put international peace at risk. Therefore, it is crucial to monitor social media as the primary source of racist opinions dissemination and to detect and block racist remarks in a timely manner. In this study, we aim to detect tweets containing racist text by performing sentiment analysis using both ML and DL algorithms. We will also build a webpage using Flask framework and SQLite for users to interact with the model.
Effective Machine Learning Garbage Data Filtering Algorithm for SNS Big Data Processing
Authors: Ledalla Sukanya , Akkenapally Saiharini , Reddy Baluri Rishika , Chittipolu Kalyani , Burri Anvitha , Kolepalli Sujana
Published: June 2023

Social network services (SNS) are used more often today, which results in more SNS data being generated. Furthermore, greater emphasis is being placed on extracting various sorts of information through the collection, processing, and analysis of massive volumes of SNS data. Although big data processing can extract a lot of information from SNS data, it takes a long time and a lot of resources. As a result, gaining insights from SNS data necessitates a significant investment of time and money. In this section, we propose a data filtering approach for removing unnecessary SNS data from the data stream. To improve filtering accuracy, the suggested method employs Random Forest, Decision Tree, and XGBoost. Research shows that the suggested algorithm filters the experimental keywords by more than 70%.
Power Electronic Converter with Improved Power Quality for EV Charger Application
Authors: Begum Moshina , Raveendhra D. , Pakkiraiah B.
Published: June 2023

High voltage electrical vehicle battery models are acquiring plenty of attention in both industry and the scholarly field for their capacity to decrease charging time and increase battery life. Existing EV chargers use a strong non - linear diode bridge rectifier to deliver Direct Current voltage at the DC-DC converter’s input, which degrades input AC current power quality. Due to these issues, typical battery chargers must eliminate the input bridge to improve power quality (PQ). This research uses an upgraded PQ-based bridgeless (BL) Luo converter. Two Luo converters use this PFC converter’s input inductor throughout their half cycles. A PFC converter without an input diode bridge may offer a cost less, power-density increased EV charging solution with few switches. Synchronizing the charger’s input current with source voltage increases input power factor. Luo converters provide the largest voltage transfer gain. Various segments of the project were simulated in order to understand their characteristics. The open-loop and closed-loop analysis of ULC with PI control yields graphical results that highlight the connection between the duty cycle and voltage transfer gain. The simulation graphs obtained for the dc-dc buck converter and Li-Ion SOC also provide important results for analysis.
Design of micro-strip patch antenna for C – band applications
Authors: Prashanth Kolluri , Jayakrishna Sai Chintagumpula , Srihari B.L. , Manisha Kumari
Published: June 2023

This paper presents the design of a horizontal slot micro-strip Patch antenna with a dual slot inset feed mechanism. The antenna is resonating at 4.28 GHz, with reflection coefficient of -16.32 dB, and a Bandwidth of 1 GHz. Rogers RT580 dielectric is used as substrate having relative permittivity of 2.2 and tan δ value of 0.0009. The gain of the antenna is 6.46 dBi and the cross-polarization levels are reduced to -16.4 dB. The micro-strip antenna can be used for C Band applications such as satellite communication between ground station and satellite.
Logistics, traceability in food supply chain management
Authors: Reddy T. Taranya , Devi Y. Rama , Kavita G.
Published: June 2023

The food sector is crucial in providing the basic needs to sustain a range of human behaviors and activities. Supply chain is one of the important IoT application areas. IoT solutions support the monitoring, analysis, and management of the food sector in real-time. Through the application of IoT, the routing process of food products is greatly improved. The system is composed of a set of connected nodes that form a network of sensor nodes with the integration of RFID and IoT technology. The RFID tags associated with the food products enable the detection of the location, temperature and other parameters of the food products. The IoT platform provides real-time tracking and monitoring of the food products from the source to the destination. The task of the Food supply chain is to promote efficiency, transparency so that suppliers, clients, and partners may receive crucial information about the travel history movement along with quality of their products. Traceability plays a critical component for ensuring food safety, protecting public health, and providing assurance that food is free from contamination. By tracking the movement of food through the supply chain, businesses can ensure that food is sourced from approved suppliers.
An overview of material removal processes and its importance
Authors: Omietimi Henry , Afolalu Sunday A. , Kayode Joseph F. , Monye Stella I. , Lawal Sunday L. , Emetere Moses E.
Published: June 2023

Good surface finishing, quality, and maximizing metal removal are characteristics feature of machining operation. The process variables affect the product’s surface roughness and rate of metal removal. Proper management of the process variables makes it easier to lower machining costs and enhance product quality. In order to get the best product, extensive research has been done previously to optimize the procedure specifications in any machining process. This paper studies how important the material removal process is, its benefits, and its relevancy in the manufacturing industries. The most recent turning process research uses the Response Surface Methodology (RMS). Process variables including feed, cutting speed, and depth of cut work well. In most circumstances, a technical need for mechanical products, the surface profile, and the roughness of a machined workpiece are two of the most significant product quality features. The necessary surface quality must be obtained for a part to function as intended. Finding a simple solution and a completely reliable approach is crucial due to the surface quality mechanism’s process dependence and the various uncontrollable elements that affect relevant phenomena.
A Brief Study into Renewable Energy Technologies
Authors: Ikumapayi Omolayo M. , Ogedengbe Temitayo S. , Laseinde Opeyeolu T. , Kazeem Rasaq A. , Afolalu Sunday A. , Akinlabi Stephen A. , Akinlabi Esther T.
Published: June 2023

The massive increase in energy consumption, especially over the past several years, has raised fears that the world’s fuel and other resource reserves would be drained in the coming years. Over the years, low-cost, long-term energy has been viewed as the foundation of any country’s social and economic success. Nonetheless, in recent decades, a bigger section of the population of developing economies has had limited access to inexpensive and sustainable energy, contributing greatly to these countries’ poor economic and social growth. This study was therefore a review of the various sources of energy and their applications.
Computational fluid dynamics (CFD) analysis of centrifugal pumps
Authors: nandan Ruchir , Mohammed Pasha Syed , Ashish D. , Nookaraju B.Ch.
Published: June 2023

Centrifugal pumps are mostly used in different fields like industries, agriculture and domestic applications. Objective of this paper is to give a critical review of CFD analysis of centrifugal pump along with future scope for further improvement of flow efficiency. Computational Fluid Dynamics is the most used tool for simulation and analysis. 3-D numerical CFD tool is used for simulation of the flow field characteristics inside the pump machinery. CFD for centrifugal pump is used to solve numerical simulation problems working as a tool for getting performance prediction of modelled design at different conditions, and can derive information and study of pump performance on the system, Study of pressure contours, velocity contours, flow streamlines, cavitation analysis, analysis of interaction effects in different components, prediction of axial thrust etc., is also be studied by CFD techniques. Simulation makes it possible to visualize the flow condition inside a centrifugal pump. The present paper describes the head, power, efficiency and to evaluate the pump performance using the ANSYS CFX-14, a computational fluid dynamics simulation tool.
Experimental Investigation on Water Cooler Test Rig With And Without Diffusers
Authors: Dandu Mallikarjuna Rao , Sai Babu K. , Babu Nelakuditi Naresh , Kumar A. Dhanunjay , Reddy K. Venkateswara , Krishna B. Sai Rama , Raju V. Dhana
Published: June 2023

Refrigeration is a process of maintaining the temperature lower than the surroundings. It can be achieved with the help of components of refrigerator and the refrigerant. Refrigerant is a substance maintaining the temperature lower than the atmosphere. VCR is widely applied in daily as well as in large scale industry to produce a refrigeration effect. The diffuser is a passage that will increase the pressure energy by changing the kinetic energy at the inlets. The main objective of this project work is to design a water cooler test rig system with two different angled diffusers of divergence angle of 13°, 16° are planned for the equivalent inlet and outlet dia. In this project we are evaluating the various constraints such as refrigeration effect & coefficient of performance (COP) with and without diffusers at condenser inlet. The 16° divergence angle of diffuser given the better coefficient of performance was 23.15.
An efficient novel approach to E-commerce retail price optimization through machine learning
Authors: Subbarayudu Yerragudipadu , Reddy G. Vijendar , Raj M. Vamsi Krishna , Uday K. , Fasiuddin M.D. , Vishal P.
Published: June 2023

Businesses can use price optimization to discover the most profitable price point by using customer and market data to drive their decisions. The optimal price points will result in the company making the most money possible, but they may also be created to help the company expand into untapped markets or increase its market share, for example Businesses can use machine learning to price products and services to maximise sales or profitability by using data instead of educated guess-work. When utilised for price optimization, ML-based algorithms can be used to forecast demand for a particular product as well as the ideal price and how buyers will respond to specific pricing. Pricing decisions can be made more accurately using machine learning, which will boost a company's revenue.
Malware Detection Using Binary Visualization and Neural Networks
Authors: Jonnala Yamini Devi , Mahajan Vamshi Sai , Menon Dheeraj , Kothakapu Sampath Reddy , Chandamollu Sumanth Reddy
Published: June 2023

Any programme or code that is damaging to our systems or networks is known as Malware or malicious software. Malware attempts to infiltrate, damage, or destroy our gadgets such as computers, networks, tablets, and so on. Malware may also grant partial or total control over the affected systems. Malware is often detected using classic approaches such as static programme analysis or dynamic execution analysis. The exponential rise of malware variations requires us to look beyond the obvious in order to identify them before they do harm or take control of our systems. To address these drawbacks, malware detection based on binary visualisation followed by the deployment of powerful machine learning techniques such as Convolutional Neural Networks (CNN) performs better than the ones we now use. We use these discoveries in our efforts to identify malware in different files and websites. We strive to complete the objective by employing representations of malware software binaries. With this concept, we can construct a better bridge for developing a functioning model that can identify malware in real time.
Conversational AI Chatbot for HealthCare
Authors: Y. Sri Lalitha , N.V. Ganapathi Raju , Vanimireddy Ram Teja , Mothe Venkata Sai Kiran , Nenavath Anil Nayak
Published: June 2023

Health is a state of total physical, mental, and social wellbeing. chatbots have been applied to this industry frequently and in a variety ofways in the past, there is still room for more inventive uses. Healthcareconversational AI use cases are flexible and may be tailored to the industry. Patients might use them to gain additional knowledge about their disease, the therapies that are available, or even their insurance coverage. Because research has shown that healthcare chatbots can improve patient satisfaction and significantly reduce wait times, many healthcare organisations are considering incorporating them into their operations. Chatbots for healthcare can be used for a number of purposes, such as monitoring, anonymity, personalization, in-person involvement, and more. In this case study, the user's input on the patient's symptoms will be used to determine the patient's likely ailment type. According on the type of sickness, precautions will be suggested, and the patient will be sent to a doctor who specialises in that field. A sequential model was utilised to extract the text's symptoms, and the KNN method was then applied to predict the patient's ailment type.1
Leptin and other Biochemical Investigations in the Serum of Type 2 Diabetes Mellitus Patients
Authors: Ahmad Hani Moslem
Published: June 2023

Type 2 diabetes mellitus (T2DM) is a chronic metabolic disease characterized by hyperglycemia and insulin resistance, and serious health consequences can be developed from T2DM such as in the eye (diabetic retinopathy), the renal (diabetic nephropathy), the cardiovascular system (hypertension), etc. Leptin is one of the regulators that released by the adipose tissue, which involved in mediating inflammatory processes, and related to oxidative stress. This article was made to examine the level of leptin in T2DM patients and its association with lipid profile and glycaemia status in T2DM patients. Also, the possibility of using leptin in the prognosis of T2DM was investigated. The study was included 60 T2DM patients and 30 normal glycemic non-diabetic control. The results have shown a significant high levels of serum leptin, glucose, HbA1c, triglycerides, and cholesterol in T2DM patients with significant low level of high-density lipoprotein, when compared to control. Leptin has shown to be involved in the pathophysiology of type 2 diabetes mellitus. The T2DM patients were contained a significant high levels of leptin in their serum compared to the normal glycemic people without T2DM disease. Furthermore, leptin was correlated significantly with the percentage of HbA1c in T2DM patients, which indicates a major part of influence between leptin and insulin resistance development in T2DM patients. Moreover, lipids were altered significantly in T2DM patients, but the results have revealed no significant involvement of leptin with this alteration. Based on these findings, we suggest the use of leptin in the prognosis of risks in T2DM patients.
Molecular detection of Leishmania in dermal tissue: Case control study
Authors: Abdulqadir Moayad Aziz
Published: June 2023

Background: An endemic disease cutaneous leishmaniasis CL was spread in Iraq. In 2020, there were more CL cases than in previous years, with most occurring in rural areas. In this scenario, the current diagnostic technique must be replaced with a more sensitive one. This research aimed to examine if polymerase chain reaction (PCR) is an efficient approach for identifying leishmanial parasites in skin biopsies from Iraqi patients.

Methodology: PCR was used to evaluate samples collected from one hundred people who had cutaneous ulcers that were compatible with leishmaniasis. The primers used in the analysis were produced from the gene for the small subunit of the ribosomal complex. In order to determine which method was most sensitive to the presence of Leishmania, PCR, smear staining, and in vitro culture were put through their paces.

Results: In vitro culture test had a sensitivity of 72 percent, while the direct microscopy smear had a sensitivity of 88 percent. The sensitivity of the PCR test was much greater (88 percent) (71 percent). In addition to this, the specificity of the PCR test that we used was rather good (99 percent).

Conclusions: When it comes to making a diagnosis of cutaneous leishmaniasis, the polymerase chain reaction, commonly known as PCR, has to be regarded as a method that is not only advantageous but also sensitive and more time and cost effective. It is especially important to keep this in mind for patients whose parasitological testing came back negative.
Real Time Weather Monitoring System using IoT
Authors: Murthy M. Sreerama , Kumar R. P. Ram , Saikiran Billa , Nagaraj Islavath , Annavarapu Tejesh
Published: June 2023

The proposed project aims to use IoT technology to build a weather monitoring and reporting system which has the potential to improve the accuracy and reliability of weather data. Weather monitoring systems can collect real-time data on various weather conditions, such as temperature and humidity, using sensors and other IoT devices. This data can then be analysed and used to generate accurate and timely weather reports, which individuals and organizations can use for various purposes, such as agriculture, aviation, and disaster management. The aim of real-time weather monitoring using IoT is to collect, analyse, and disseminate accurate and timely information about the current weather conditions to individuals and organizations through web and mobile dashboards for decision-making purposes.
Soil Moisture Predictive Analysis using IoT and Machine Learning
Authors: Sanjeeva Polepaka , Kumar R. P. Ram , Adityaram Komaraneni , Kashyap Adipudi , Siddarda Azmeera , Ruthvik Goggi
Published: June 2023

The Internet of Things has been immensely popular these days, and so is the functionality and efficiency it provides. It is especially useful in areas where Human intervention and monitoring is not necessary or even absent. With that said, it can be understood that Farming without Human interference can be a hectic task, and thus needs strict and thorough planning and implementation before any system or product is actually in use. The thesis aims to examine and contribute to the efficient usage of several IoT Sensors for the betterment of Farming & Agriculture. The proposed IoT System utilizes Soil Moisture detection sensor, to find the moisture levels in soil, and hence applying various other use cases to the system. The project aims to use ESP-32 Dev Module and other soil moisture detection features to investigate and find an effective solution towards the future of Farming.
Artificial intelligence in lean manufacturing paradigm: A review
Authors: Sharma Arun Kumar , Pinca-Bretotean Camelia , sharma Sarika
Published: June 2023

Industrial organisations must now develop and implement novel approaches to operations and production if they are to compete effectively on a global scale. Changes in product development practises and the use of new technologies have occurred. Businesses encounter problems and difficulties as a direct result of the rapid pace of market change. Organisational priorities focus on minimising waste while simultaneously improving quality and cutting costs. Lean manufacturing is an established approach that should be included into every strategic company strategy. Lean manufacturing concept is a revolutionary that aims to increase resource use while minimising waste. Lean manufacturing has been shown to increase plant efficiency and decrease processing times in major manufacturing operations. In the end, industries depend greatly on their capacity to systematically and consistently cope with obstacles in order to increase product value. Therefore, a value-adding framework must be implemented; the adoption of a lean manufacturing system becomes crucial for any kind of business if it is to achieve this level of perfection. This article gives a overview of lean manufacturing their concepts, tools with application and artificial intelligence in lean manufacturing.
Dissimilar Laser Welding of NiTi Alloy with Ferrous and Non-ferrous Material: Optimization of Process Parameters
Authors: Parimanik Soumya Ranjan , Mahapatra Trupti Ranjan , Mishra Debadutta , Rout Akshaya Kumar
Published: June 2023

NiTi Shape Memory Alloy (SMA) is extensively utilized in various high-performance engineering industries such as medical devices, aerospace, air-craft structures, micro-electrical and electronic components, and more, owing to its exceptional properties, including shape memory effect (SME), superelasticity, and biocompatibility. Nonetheless, due to its distinct characteristics, achieving a suitable joint of NiTi alloys is a challenging task. Therefore, scientists have been dedicating significant efforts to the joining of this alloy. This current research explores the weldability of NiTi wires with stainless steel wire and copper wire using Laser. The micro-hardness and the tensile strength of the weld joint are acquired according to Taguchi design of experiment so as to identify the significance of the control factors (laser power, scan speed and focal length). Moreover, simultaneous optimization of multi performance characteristics is also attempted using Utility concept. The results from the confirmation runs showed that the predicted optimal machining parameters has im-proved the individual as well as the multiple performance characteristic.
Electrochemical Machining Process Using Different Electrolytes for Improved Process Efficiency
Authors: Singh Gurwinder , Rao P. Sudhakar , Singh Rupinder
Published: June 2023

Electrochemical machining (ECM) was developed as a result of the manufacturing and production industry's need to cut extremely hard alloys without leaving a troublesome layer. Manufacturing industries involved in gas turbine blades and aerospace need intricate geometries that would be difficult to make using standard methods. Because of high tool wear (TW) and metal removal rate (MRR), traditional machining processes such as milling and other conventional machining are inefficient for extracting metal from hard materials. This study outlines, a comprehensive analysis of the ECM processes using different electrolytes for better process efficiency.
IoT Enabled Speed Control of Single-Phase Induction Motor
Authors: Awaar Vinay Kumar , M.N. Sandhya Rani , D. Kavya Kirthi , CH. Sindhu , P. Sai Keerthana , Das Suchismita , Abbas A. Hussien
Published: June 2023

The Internet of Things (IoT) is taking great hold in today’s technology since it facilitates comfortable and remote monitoring of machines using sensors. On the other hand, Single Phase Induction motors are most widely used in industry as well as home applications. Monitoring and controlling it is a very crucial task. This project is about monitoring several parameters such as the current, voltage, temperature, and speed of an induction motor, and controlling its speed by IOT. The faults are sensed using sensors and are stored in the cloud thereby enabling one to monitor the machine with reduced manual intervention. If the engine has a faulty state (current), the user will be notified of this issue via the mobile application.
A narrative review on use of biomaterials in achieving SDG 9: Build resilient infrastructure, promote sustainable industrialization and foster innovation
Authors: Gera Rajat , Chadha Priyanka , Banerjee Sonali P. , Sharma Mona , Pandey Amit Kumar , Kampani Shivani , Dixit Saurav , Tummala Suresh Kumar , Gatea M. Abdulfadhil
Published: June 2023

This study aims to address the gaps in the existing literature on the use of biomaterials in achieving SDG 9, identify gaps in current knowledge, and provide insights for future research directions. A narrative review of 62 papers published between 1996-mid 2023 in which use of biomaterials in achieving SDG 9 ( build resilient infrastructure, promote sustainable industrialization and foster innovation) shows that biomaterials have great potential to transform the construction and infrastructure industries by providing sustainable, biodegradable, and cost-effective alternatives to traditional materials. The use of biomaterials and new technologies in various industries has the potential to create significant economic, social, and environmental impacts. However, realizing these benefits requires investment in research and development, improving production processes, and creating policies that support the use of sustainable biomaterials. There is a need to consider the sustainability and environmental impact of biomaterials in various applications, including medical devices, orthopedic biomaterials, and biofuels, among others. Their development and implementation may require supportive policy and governance frameworks. Future research directions can focus on several areas such as optimization of biocompatibility and biodegradability of biomaterials, developing scalable and cost-effective manufacturing processes for sustainable biomaterials.
Capacity trust assessment for multi-hop routing in wireless sensor networks
Authors: Gali Sowmya , Y. Madhusudhana Reddy , B. Alekya Himabindu , V. Nagamani , S. Jayamangala , S. Munawwar , Y. Mallikarjuna Rao , Abbas A. Hussien
Published: June 2023

This paper proposed a newIntrusion Detection mechanism based on Multiple Trust Attributes in Wireless Sensor Networks (WSNs). Mainly this work concentrated to assess the trust in ems of capacities of the sensor nodes. The capacity of a node is formulated based on two trusts namely Fault Tolerance Trust and Stability Trust. Every SN checks the trustworthiness of its neighbour SNs based on the Capacity Trust and confirms their trustworthiness. If any node is discovered as malicious, such type of node is called as intrusion or outlier and isolated from network.Extensive Simulations are conducted over the proposed intrusion detection mechanism and the performance is evaluated through Malicious Detection Rate, and False Positive Rate.
Design and Development of High Frequency Inverter for Wireless Power Transfer Application
Authors: Babu B. Phaneendra , Karthik V. , Musharraf Mohammed , Alkhayyat Ahmed Hussein , Dua Deepika
Published: June 2023

A number of power electronics converter topologies are implemented as Wireless Power Transfer (WPT) systems applications expand. In these applications, the optimal converter design is essential for handling the high power and frequency operation. In this paper, Simulation & Hardware development of High frequency Inverter with 90KHz frequency with Pulse Width Modulation switching strategy is presented. The inverter topology is simulated in 2021a version MATLAB/Simulink with R and RL loads and its conversion ability is proven through relevant waveforms. Simultaneously designed and developed prototype model of power rating 100watt with Mosfet as switches at output voltage of 230V with R load and analyse the output behaviour of voltage waveforms at various loads. The outcomes show effective enhancements for the proposed design.
Mix proportioning of M25 grade concrete by replacing normal aggregate with light weight aggregate (Pumice)
Authors: Varikuppala Lalitha , Satyanarayana G.V.V.
Published: June 2023

Day to day a large development in construction activities are happening. All constructions require huge quantity of concrete. All we know that conventional concrete has density 2400 kg/m3.This type of concrete is not at all required in all aspects. So that new era concretes are developed to solve more problems. In general Components of buildings have concrete density 2400 kg/m3. In high rise buildings the components are large in size. Thus, by making the components lighter, a concrete needs to have a lesser density while still retaining its adequate compressive capacity. Lightweight aggregate are employed when making the bulk of lightweight concrete. The objective of the current study is to develop lightweight concrete by replacement of pumice stone for natural aggregate for M25 grade, with pumice stone ranging proportion from 0-27.5% at 5% intervals.
Studies of polypropylene fibres’ effect on strength and workability of slag based geopolymer concrete
Authors: Kashapaga Latha Sree , Srinivas Tummala , Reddy T. Hyndhavi
Published: June 2023

The most useful, desirable, adaptable, emerging, reliable, and enduring construction material is concrete. After water Concrete is the most usable substance, and it requires a lot of Cement. The source of carbon dioxide pollution in the atmosphere, after the automobile is due to production of Ordinary Portland Cement and additionally, a significant quantity of energy was used to produce cement. The replacement of OPC or elimination of OPC in concrete is very much important to avoid global warming; A novel construction material called geopolymer concrete is created through the chemical reaction of inorganic molecules. The by-product of coal from a thermal power plant known as fly ash is widely accessible worldwide. Flyash is abundant in alumina and silica. This paper is aimed at studies on the strength and workability of conventional and geopolymer concrete. G40 grade of geopolymer concrete, which equivalent to M40 grade of conventional concrete has been developed by conducting various mixes. The conventional concrete specimen are casted and cured in water and in geopolymer concrete, these are cured with the help of oven for one day after one day rest period and rest of the days kept in atmosphere until testing. The test results have shown that the compressive strength is increased and workability is decreased with the addition of polypropylene fibres.
Optimization of solids composition in ferrock mortar
Authors: Feroz Shaik , Krishna P.V.V.S.S.R. , Satyanarayana G.V.V. , Reddy V. Srinivasa , Alawadi Ahmed Hussien Raide , Pathak Abhishek Kumar
Published: June 2023

Ferrock is the commercial name given by the Dr Stone working with university of Arizona which holds the patent on this novel material. This is an alternative material developed for structural applications in place of concrete. In this paper, ferrock mortar is prepared with various solids such as iron powder, iron dust, cement and fly ash to establish the optimum combinations of solids for preparing the high strength ferrock systems. Iron dust in the form of powder (size less than 90 microns) and fine aggregate (size between 150 microns to 2.36mm) is used in the study to develop the iron carbonate matrix which is major binding material in ferrock. For the process of iron carbonation, carbon dioxide is prepared from the chemical reaction of sodium bicarbonate and acetic acid. Iron dust cubes are carbonated to form iron carbonation matrix upon fusion. This material has very high strength than the references cement mortar samples.
Gesundheitskompetenz (Health Literacy) und Compliance – Teil
1
Authors: Weilguny-Schöfl Gerlinde
Published: June 2023

Gesundheitskompetenz (Health Literacy) wurde erstmals in den 1970er-Jahren in den
USA thematisiert. Gesundheitskompetenz ist die Fähigkeit,
Gesundheitsinformationen zu kennen oder zu finden, zu verstehen, zu bewerten und
bei gesundheitsbezogenen Entscheidungen anzuwenden. Im Jahr 2012 wurde in Europa
eine erste Datenerfassung zur Gesundheitskompetenz in 8 Staaten
veröffentlicht. Zwischen 2019 und 2021 initiierte die WHO (World Health
Organization) eine weitere, auf zusätzliche Länder (insgesamt
17) ausgedehnte Erhebung. Die Ergebnisse zeigen, dass Handlungsbedarf besteht
und es dringend notwendig ist, mit gezielten Maßnahmen die
Gesundheitskompetenz der EU-Bevölkerung zu verbessern. Denn Health
Illiteracy, also das Fehlen von Gesundheitskompetenz
(Gesundheitsanalphabetismus), ist verbunden mit ungesundem Lebensstil wie
schlechter Ernährung sowie wenig körperlicher Aktivität.
Darüber hinaus ist sie assoziiert mit verschiedenen körperlichen
Einschränkungen, Überforderung im Umgang mit chronischen
Krankheiten, Langzeitkrankenständen, häufigen Konsultationen
medizinischer Einrichtungen und dadurch einer geringeren
Lebensqualität.
Palladium-Catalyzed Acylation Strategies and Their Applications Towards Biologically Relevant Products
Authors: Sreenivasulu Chinnabattigalla , Kishore Dakoju Ravi , Satyanarayana Gedu , Basuli Suchand
Published: June 2023

Ketones are fundamental synthons in organic synthesis due to their wide range of applications, which include natural products, pharmaceuticals, dyes, fragrances, agrochemicals, and electronic materials. In recent years, direct acylation strategies based on commercially available benchtop aryl halides and aldehydes (alkyl/aryl) have been the prime focus for the construction of alkyl-aryl/aryl-aryl ketones using palladium catalysis under eco-friendly reaction conditions. In this account, we present conceptually developed palladium-catalyzed direct acylation strategies for achieving various carbo- and heterocycles such as ketones, 2-quinolinones, phthalazines, phthalazinones, benzoxazinones, anthraquinones, indenones, and 1,3-dihydroisobenzofurans. Significantly, these direct acylation strategies have been extended to synthesize the natural product neo-lignan and biologically significant molecules such as an n-butylphthalide antiplatelet drug, pitofenone, fenofibrate, a HBV inhibitor, and a PDE-4 inhibitor. This Account will be of interest to synthetic organic chemists wishing to prepare pharmaceutical molecules and natural products.

1 Introduction

2 Discussion

2.1 Palladium-Catalyzed Environmentally Compassionate Acylation

2.2 Palladium-Catalyzed Acylations Followed by Intramolecular Aldol Condensation to Afford Indenones

2.3 Acylation of Iodo-acetanilides/Iodo-phenyl Acetates: Sequential One-Pot Syntheses of 2-Quinolinones

2.4 A One-Pot Diversified Synthesis of Phthalazines, Phthalazinones, and Benzoxazinones

2.5 Palladium-Catalyzed Direct Acylation: A One-Pot Relay Synthesis of Anthraquinones

2.6 Palladium-Catalyzed Direct Oxidative Coupling of Primary Alcohols with Iodoarenes Leading to Ketones: Application to the Synthesis of Benzofuranones and Indenones

3 Conclusion