bluuebunny/crossref_metadata_2025 huggingface dataset:
Deployment of Recycled Aggregates as Granular Material in Concrete Concerning Sustainability-An Experimental Study
Authors: Riyana M S
Published: December 2023

Concrete is a dependable and long-lasting material for the building sector, because of its versatility, strength, and durability qualities. However, the quick depletion of those resources and the consequent rise in price are becoming attention-seeking issues in the field of construction. Many organic rude aggregates are second-hand as the result of facts on an all-encompassing scale, and abundant rising countries with their own government have had supply issues. Researchers and businesses are focusing on recycling waste concrete to create new building materials in order to meet the growing demand for infrastructure development today. Recycled crushed stone has been practically useful within the construction sector, and the use of recovered construction aggregates is effective at keeping the environment clean. The aim of this study is to develop sustainable and cost-effective concrete with recycled aggregates as coarse aggregate and their by managing construction waste. In this study, aggregates as coarse materials are restored by recycled stones from broken concrete in the range of 0%, 25%, 50%,75%, 100%, and 100% saturated surface dry aggregate concrete with a grade of 25 N/mm2. The finished concrete mix is tested and compared with normal concrete as a control mix according to workability studies and mechanical properties. The test is done after 7, 14, and 28 ages of curing to measure the strength characteristics. This paper offers a technique for assessing the long-term efficiency of concrete produced using reused aggregate.
Development of an Urban Utility Map of Adoor Municipality using GIS
Authors: Shruthi S , Abhinath P , Sreelekshmi S , Vishakh A , Reshma C
Published: December 2023

Utilities are fault-finding conveniences in a city for giving essential duties. The lack of accessible dossier concerning the locale of utilities can cause civil service disruptions, project delays etc. Geographical facts arrangement (GIS) is individual of ultimate adept habits to get the hypothetic view of some object. A utility map with the help of GIS can show the location and identification of pipes and cables. GIS-Based advantage and service management method will allow the consumer to see precisely place property and service are situated in the need of an hour. A utility map shows better visualization of utility network. This study aims to develop a utility map of Adoor municipal area with the help of GIS for the following utilities; water distribution lines, electricity distribution lines, drainages, optic fibres and traffic signals.
Experimental Study on Properties of Self Compacting Concrete Blended with Palm Oil Fuel Ash
Authors: Radhakrishnan Akhila , Amal S , Riyas Sona , Sreehari R , Riyana M S
Published: December 2023

Low flow-resistance concrete known as self-compacting concrete (SCC) can be poured and compacted by its own weight without the aid of external vibration, bleeding, or segregation. It is less tolerant to abrupt changes in aggregate moisture content, chemical admixtures, and water content. POFA (Palm oil fuel ash), as an OPC replacement, provides an opportunity to reduce carbon footprints, enhance cost-saving, and mitigate and reduce waste materials in landfills. POFA in cementations materials, as an additive or partial substitute, to cut down on cement consumption globally. POFA can be utilized for the production of lightweight, durable, and cheap concrete because of its availability in significant quantities. SCC is a highly flowable and self-leveling concrete that can be easily placed and compacted without the need for vibration, due to the addition of POFA can improve the workability and flowability of SCC and make it easier to handle and place. Combining POFA and SCC has the potential to strengthen the connection between concrete paste and aggregates by adding strength as a result of pozzolanic reactions, which will increase the concrete's resilience. Since POFA is a waste material, it is often available at a lower cost than other materials used in concrete production, using POFA in SCC can help reduce the cost of construction projects while still maintaining the quality of the final product. As a result, this study explores the influence of POFA as an addictive substance in a range from 0% to 40%. Testing of fresh properties is done using the Slump, L-Box, and V-funnel methods. To determine the strength, compression tests were also performed.
Advanced Disinfecting, Analysis and Collection of Garbage from Aquatic Resources
Authors: Vasanth Adwaith B , Gargi G S , Paulose Suja , Divya R , Ashly P , Lekshmi Chandra K
Published: December 2023

In the last 20 years almost all the water resources in the world are suffering from pollution. Now a days water bodies are destroyed by the disposal of untreated sewage and solid wastes. During this current scenario, these water bodies are highly polluted, then become landfills leads to the destruction of water bodies and thereby the aquatic organisms. Approximately 70% of sewage goes untreated, resulting in over 40 million litres of raw sewage being discharged directly into oceans, rivers, and lakes on a daily basis. To address these issues, various governmental initiatives and programs have been implemented with the goal of decreasing water pollution levels. Due to this issue of increasing level of pollution of water bodies, this project “Advanced Disinfection, Analysis and collection of garbage from water sources” is to analyse the water quality, collect waste from water bodies and at the same time disinfect the water. This project is remote controlled, we use DC pumps to control the direction and arrange the steering servo motor. To make the ship self-sufficient, we need to implement solar panels that would charge the battery. Wire gauges are used for waste collection. Here we use Arduino mega controller and UV light to disinfect the water and various sensors to sense the quality from the water.
Approach to Retrieve Content-based Image from a Clustered Database Based on a Dominant Colour
Authors: John Sneha Anna
Published: December 2023

Over the past few years, there has been a significant increase in both the availability and significance of image retrieval systems. One of the most important aspects of the photographs during the search process is their colour. Since there are many widely used techniques for color-based comparison and retrieval. In this research, we present a Dominant Colour extraction scheme that allows us to extract the image's colour features. We utilise quantization to represent the extracted prominent colours within a bound after extracting the dominant colours. We cluster the database and index the images based on quantized value. When an image which is set as question is sent as input into the system, it will only identify cluster in the image and search the image rather than the entire database utilised similarity metric in.
Comparison Study of Different Classifiers for Detecting Parkinson Disease using Machine Learning Language
Authors: Thomas Jerry K , Syama R
Published: December 2023

In Parkinson's disease, dopamine-producing neurons in the brain are disrupted. Communication between brain cells is enabled by it. Dopamine is responsible for the control, adaption and easiness of movements. This disease occurs mainly in aged persons, but in this current scenario Parkinson’s disease symptoms showing after age 35. So researchers try to find more ways to recognize the symptoms of Parkinson’s disease as early as possible. The purpose of this paper is to present different classifiers that use machine learning to diagnose Parkinson's disease. Here I use 3 different classifiers-SVM, KNN and XGBoost. I will build a model for all 3 classifiers and calculate their accuracy of detecting the Parkinson’s disease by giving the same dataset input. From the 3 classifiers I select the more accuracy one. This paper propose select the XGBoost classifiers to detect the Parkinson’s disease person. XGBoost gives 94.7.
Electric Billing System using IoT and Blockchain
Authors: Shibu Sumi Mary , Prasad Shilpa S
Published: December 2023

Electricity has become an indispensable part of the contemporary lifestyle and we cannot imagine a world without it. Through this project, we aim to raise awareness about the need for a more energy- friendly utilization of electrical appliances to prevent the misuse of energy. Also, it addresses the issue of data security, which has paramount importance in the present scenario. Currently, there exist many methods for meter reading and billing systems. Reading of meters by the officials, and smart meters based on IoT and GSM are some of them but have several disadvantages. Therefore, we put forward a novel idea combining the advantages of cutting-edge technologies like blockchain and IoT, which automates the entire system by providing assured security to the stored data. Blockchain is a decentralized, unalterable platform for recording information that prevents any hacking, or manipulation of stored data. Incorporating blockchain in the project enhances the credibility, transparency, and traceability of the processes, thus making this idea unique. The system we intend to implement enables live status monitoring, provides information regarding the number of units consumed, and facilitates payment. Also, it brings down the dependency on the employers to fetch the reading and thereby minimizes the errors that may arise throughout the process of billing. The advantage of this system is that a user can check the power consumed by the electrical appliances in real-time and can take further steps to control the overuse of energy, thus guaranteeing energy conservation. This project primarily aims at developing a completely automated electric meter billing system that would ensure the complete security of the data.
IoT Based Vehicle Parking System
Authors: Panicker Vibesh V , Aji Harishankar , Sandeep Diya , Reji Roshan , Neethu R
Published: December 2023

The number of vehicles is increasing at a tremendous rate but there are no sufficient parking areas to occupy the growing vehicle population. An IoT based parking management system can be implemented for the efficient utilisation of available parking space. The system utilizes ultrasonic sensors to detect vehicle presence in each parking slot. It offers real-time monitoring of parking slot availability, with users being informed via an Android app and an LCD screen displaying parking slot status. User authentication is done using Radio Frequency Identification (RFID) system that also records the time of vehicle entry and exit to enable collection of parking fare according to the duration of parking. The notification of the bill is sent to the user via SMS. This provides a time efficient and user friendly approach to solve parking crisis.
Blockchain and IoT Integration for Smart Transportation in Cargo
Authors: James Merry , Chinchu M
Published: December 2023

Ensuring the safe transportation of hazardous materials is crucial for safeguarding both the environment and human well-being. The integration of IoT and blockchain technology in smart transportation systems has the potential to transform the cargo industry by providing efficient, secure, and reliable tracking and management of cargo throughout the supply chain. By utilizing IoT sensors to track cargo in real-time and storing the data on a decentralized blockchain platform, intermediaries can be eliminated, reducing costs, and increasing transparency. The use of smart contracts can automate many processes, reducing manual intervention and improving the speed and accuracy of transactions. This paper suggests a blockchain and IoT-based smart transportation model for cargo to monitor the sensor data in a safe and secure way.
Optimisation Algorithms for Deep Learning Method: A Review with a Focus on Financial Applications
Authors: Kurup Nikhil G , Grace K S Vijula
Published: December 2023

In a variety of fields including financial applications like stock market analysis deep learning has achieved amazing success in producing precise forecasts. To train deep learning models for financial forecasts, however, is a difficult undertaking that calls for careful consideration of a variety of hyperparameters and optimisation strategies. Optimisation is a technique that is part of mathematics and is used to solve analytical and numerical problems in minimisation and maximisation of functions. It is thus used for getting improved prediction in terms of quality and performance. In this paper we discuss different techniques like SGD, AdaGram and others, that have proven effective in improving the convergence and generalization performance of deep learning models in finance. Here we focus on financial applications where deep learning algorithms are used for the problem solving were optimization is also a part.
Human Detection Robot
Authors: Reghunath Sankar , Mony Sreelekshmi S , Sreeyuktha M , Saranya R
Published: December 2023

Natural calamities and disasters such as building collapse, earthquake etc. are some of the most disastrous situations mankind faces and, in such situations, rescuing survivors is the most critical job. From the early 70s, according to the UN, the number of catastrophic events worldwide has quadrupled. When considering disaster response, it goes to the reason that more the help, the better than none. Our proposed work, Human detection robot, can be used in disaster struck areas to detect the presence of humans who are trapped. The rescue team can save a lot of time and effort with the help of these robots. The robot moves in the area controlled by the rescue team. with the help of the live video streaming the rescue team can analyze the situation and plan the rescue operation accordingly. Whenever a person is spotted the robot alerts the rescue team with a message and the current location so that the rescue team can reach there and save the person as soon as possible. Being able to locate individuals quickly can have life-saving implications and result in better outcomes for severe injuries. In the case of a person with a significant leg injury, discovering their whereabouts a few hours earlier could mean the difference between saving their limb or undergoing an amputation that would have long-term consequences. Additionally, the advantages are not limited to humanitarian concerns. If rescue personnel can promptly verify that everyone in a collapsed building has been identified, it will hasten the clearing of roads, removal of the debris, and the community’s ability to begin the rebuilding process.
Neural Network Based Machine Translation Systems for Low Resource Languages: A Review
Authors: Sreedeepa H S , Idicula Sumam Mary
Published: December 2023

Machine translation of documents into regional languages has important role nowadays. Deep neural networks are used in neural machine translation (NMT), which is the process of converting a set of words from one source language to some other. It is a neural network-based, fully automated translation technique. Instead of just translating a word on its own, NMT takes into account the context in which a word is used to produce more accurate translation. Instead of starting with a set of established rules, the neural network in neural machine translation is in charge of encoding and decoding the source text. MT has several advantages as compared to the traditional translation techniques and approaches. Critical analysis of different approaches used for machine translation of low resource languages were done here. Deep learning based machine translation systems, transformer learning, transfer learning techniques are some of them. After the study it is concluded that nowadays NMTs developed by taking the advantages of Deep neural networks and transfer learning approaches. Gives better accuracy than other systems. Though it is a tedious task to convert one or multiple languages to another language with 100% of accuracy as manual translation, the machine translation systems developed with these techniques can score a remarkable accuracy. As there is a lack of large parallel corpora for most of the Indian languages, the translation process become more tedious. The role of transfer learning comes in this point. Transfer learning can improve translation of low resource languages, as it can use prior knowledge in translation of a separate language pair in machine translation. This is a work done for developing a translation system for low resource language pair like Sanskrit and Malayalam. There’re very less research works done in Sanskrit and Malayalam machine translation.
Transformerless Approaches in Light Electric Vehicle Charger Topologies
Authors: Aryalakshmi C , Deepa M U
Published: December 2023

People are paying more attention to charging solutions these days. Significant customer repercussions will occur if electricity quality is not maintained. The On-board Light Electric Vehicle (LEV) chargers uses single-stage power converters with improved power factor and high step-down voltage gain. In the case of LEV chargers, their application is limited by the usage of rectifiers and transformers on the front side. LEV chargers should be economical, lightweight, have minimal losses, and minimized distortion. Transformerless converter topologies utilize switched inductor networks in the single-step chargers with power factor correction control topology. The proportions and price of the magnetic elements in the transformers are decreased by the switched inductor networks, which are made up of inductors and diodes. In this article, various transformerless approaches in the charging topologies are discussed and their performance is analysed in MATLAB Simulink. Total harmonic distortions (THD) of source current and power factor are also evaluated to assure power quality attributes with and without rectifiers. THD improved to 2.38% in the transformerless topology.
Comparative Study on Strength Aspects of Light Weight Concrete by Replacing Coarse Aggregate with Shredded Tyre Waste
Authors: Archana A , Noushad Ansal , Mekha J , Sivakrishna R , Thulasi Anju
Published: December 2023

The need for automobiles is increasing each day and the usage of these vehicles also increased the waste production. Rubber tyre is the one of the main wastes generated when it comes to automobiles. Since rubber is an elastomeric material, it is hard to recycle. So, the accumulating tyre waste is a matter of concern and it leads to various ecological properties. Incorporating a percentage of shredded tyre in concrete to coarse aggregates can reduce the waste accumulation. Since shredded tyre is a light weight material its addition in concrete can reduce the weight of concrete. This study compares the strength characteristics of normal concrete with lighter-weight concrete in which tyre trash is used in place of the coarse aggregate.
Modified Z-Source Converter for PV Application
Authors: Malavika VS , Remya KP , Baby Anna
Published: December 2023

There has been an increase development in renewable energy application, so a Z-source (ZS)-based network combines through switched-capacitor (SC) converters provide a straightforward design semiconductor apparatus to have voltage stress at its minimum, gain at voltage and steady input current. A voltage doubler circuit is integrated with z-source converter which helps in voltage boosting at output. This circuit helps to improve or double the output voltage. For a small input voltage an improved output voltage can be obtained. The power switch duty cycle is reduced in any way by the suggested converters, in contrast to several other ZS-based topologies that are already present in the literature. Hence voltage gain is improved and voltage stress across switch is reduced. These qualities make the suggested converters suitable choices for PV applications that require the interface of solar photovoltaic panel (PV) through a dc bus. For a load of 100W which provides efficient modified converter.
Power Quality Improvement using PV Integrated Unified Power Quality Conditioner in Distribution System
Authors: Manjima R , Shaini AP
Published: December 2023

Power Quality is unease in modern power system for all. Incorporating renewable energy systems, power electronic equipments have brought numerous problems in power system. Here this paper handles with the power quality difficulties that occurs on the distribution network due to various reasons. Here, the proposed one have integrated photovoltaic (PV) Unified Power Quality Conditioner (UPQC) with synchronous reference frame (SRF), instantaneous reactive power, and PI control theory is presented. But those devices are vulnerable to the variations in input voltage generated by involvement between the other parts of system. In the modern age, as there is an increase in costlier sensitive electronic equipment, quality of power received is required by all for a well founded and safe operation in a power system. Power quality problems and low power factor at the PCC in a single load as well as in bus system are here efficiently compensated by the system, which is connected with shunt and series compensaters and a dc link capacitor. The efficacy of the system is studied using MATLAB/Simulink in a 16 bus distribution system under various conditions that causes sag in the system.
High Impedance Fault Detection using Wavelet Transform and Artificial Neural Network
Authors: Mathew Roshini , Aneesh V A
Published: December 2023

The detection of High impedance faults (HIFs) on distribution system is most difficult problem faced by electric utility system. These faults remain undetectable. Therefore maintenance personnel will not identify fault until a hazard is reported. When one of the phases of the transmission line makes electrical contact with a semi-insulated object like a tree, pole, road surface, gravel, concrete, dry land, etc., the fault path has a very high resistance, which is known as a fault with high impedance (HIF). The fault current values ranges from 0 to 75 amperes and cause arcing and flashing at the point of contact, poses the greatest risk of public electrical shock or fire for HIF. As a result, the public and reliable operation view the detection as more significant. An empirical solution to fault detection using Discrete Wavelet Transform (DWT) and Neural Network is presented here. This is achieved by training the Artificial Neural Network using the features (standard deviation values) extracted from the fault current signal by DWT technique for different conditions of fault with different fault resistance values in the system.
An Integrated System for Monitoring & Control of Solar Panel using IoT & Machine Learning
Authors: Pranav S , Kumar S Sarath , Biju Sneha , Monachan Limin , Joy Jofin , Boby B
Published: December 2023

The proper monitoring and control of solar panels using IoT and machine learning are discussed in this paper. The use of green energy sources like solar power is expanding due to rising electricity costs and worries about the impact of fossil fuels on the environment. But the static position of the solar panel, improper cleaning system & undetected faults may widely affect the total output generated from the solar panel. The efficiency of an array's energy generation is greatly diminished by the buildup of dust and debris on even an individual panel, emphasizing the necessity of keeping the panel's surface as clean as possible. The intention of our project is to create an extensive structure for performance evaluation, automated cleaning, tracking, and fault detection. The dual-axis trackers can give 40% more electricity than a non-moving solar panel. Automated water jet cleaning keeps panels always clean with regularly scheduled cleanings and requires no human labor after installation. The faults that occur on the solar panel are identified by using image detection techniques, in image detection techniques machine learning algorithms are used. Using machine learning algorithms can detect the presence of faults and causes of faults like micro-cracks, hotspots, dust accumulation, snow covering, shading, and so on. The proposed system can enhance customer satisfaction and will help to improve operational efficiency and more economical and easier to analyze performance.
Scooty Throttle Accidental Raise Cutoff System
Authors: Ghosh Akhil , Nair Vishnu U P , Greeshma R , Thomas John Paul , Aravindson R , Niji V
Published: December 2023

In this work it is proposed to develop a system that will cut off the accelerator in such conditions. The system works by collecting output from sensors that are placed on both sides of the handle, and on the seat. The sensors on the handle sense the presence of the driver using a fingerprint sensor and also the sensors pass a signal through the driver’s body making the human body a part of circuit that completes the accelerating cycle. And also, there is a passenger detecting sensor provided in the driver side seat which senses the driver's presence and only initiates ignition if the driver is present. For this project, we conducted a survey and found that around 10% of people have gone through this kind of situation and through literature survey found that there is no technology available till now to make up for this situation. This technology is helpful for reducing the accidents to great extent.
Challenges Faced by Start-Ups in India
Authors: Soman Aswathy , Noufiya N , Ahalya A
Published: December 2023

We are aware that there are numerous start-ups presently putting forth numerous ideas. However, they will encounter numerous difficulties when starting their business. Numerous obstacles prevent Indian start-ups from growing and succeeding. The biggest obstacles include a lack of sufficient funding, legal restrictions, infrastructure problems, a talent shortage, fierce competition, the protection of intellectual property, and cultural and linguistic barriers. Start-ups may find it challenging to establish a presence in the market, acquire traction, and expand their business as a result of these obstacles. Start-ups must be creative, adaptable, and resilient in their approach to surmount these obstacles, and they must seek assistance from the government, investors, and industry professionals. A supportive ecosystem that promotes innovation and development is necessary to address these issues. Start-ups can improve their chances of success and lay a solid basis for growth and innovation by comprehending these issues and devising solutions. The most crucial aspect determining whether Indian entrepreneurs succeed or fail is innovation.
Brand Identity and Consumer Perception: A Case Study on Fabindia
Authors: Sundaresan Pradeep , Choudhary Anju , Purohit Harsh , Tanwar Vimlesh
Published: December 2023

Brand identity and consumer perception are significant factors that are crucial to a brand’s success. The research aims to analyse the relationship between brand identity and consumer perception through the case study of Fabindia, which is an Indian brand known for traditional and handcrafted products. This research aims to explore the consumer perception of the Fabindia brand, present a review of existing literature on brand identity and consumer behaviour, and investigate the influence of Fabindia’s brand identity and consumer behaviour to identify areas for improvement in Fabindia’s brand identity. The research utilized a qualitative research methodology, including a review of existing research and studies conducted on brand identity and consumer perception, as well as surveys and interviews with Fabindia customers across different age groups, genders, and income levels. The interviews were conducted to understand how consumers perceive Fabindia's brand identity and how it influences their purchasing behaviour. It suggests that a strong and consistent brand identity can build brand loyalty and a positive brand image.
Process Optimization of Aluminium 6061 and 5083 T6 Alloys using Friction Stir Welding
Authors: Achankunju Abhin , Anandhu VA , Thomas Robin , Narayana Abey Vishnu
Published: December 2023

There are several different types of welding processes, including friction stir welding (FWS), arc welding, and fusion welding. Here, we've used the FSW method to weld the aluminium alloys AA6061 and 5083 T6 together. This weld can be used in the aerospace industry to save weight, in ships to withstand corrosion, etc. In marines, 5083 T6 alloy is used inside for greater strength and AA6061 alloy is used outside for corrosion protection. Here, friction stir welding will be used to fuse these two aluminium alloys together. Due to the heat generated by friction, friction stir welding is a sort of welding procedure that joins two alloys, whether they are comparable or different. FSW is used to create super-strong, low-distortion welds. In this work, two different aluminium alloys, AA5083 and AA6061, were dissimilarly welded together at the butt joint using FSW. The fundamental idea behind FSW is the joining of two metal plates using a non-melting pin tool. Since aluminium alloys have a great strength to weight ratio compared to steel, there are many applications for them. In this study, we optimise the welding speed, the axial force, the rotating speed, the tilt angle, and the profiles of the tool pins. Utilising Minitab software, one can design the central composite, obtain the full factorial design analysis, and check the parameters and the welded section's strength and hardness.
Impact of Chromium Addition on the Mechanical Properties of A356 Alloy
Authors: Akash S , Augustin Stanly , Suhail S , Nair Vishnu S
Published: December 2023

A significant problem in the modern day automotive and aerospace industries is to manufacture more fuel-efficient components to reduce energy usage. A356 is a material that could meet the demand for an automotive industry in the manufacturing of machine components because of their high strength-to-weight ratio, high toughness and good cast ability. However the existing properties of A356 alloy can be improved by blending it with additive elements in order to meet the modern requirements of various industries. Chromium is selected for the alloying process because of its increased resistance to oxidation at high temperature and higher wear resistance. The project deals with the fabrication of A356 alloy blended with Chromium particles and the determination of impact strength, hardness, and tensile strength of the fabricated alloy. The compositions of 0.15 wt. % Cr, 0.17 wt. % Cr and 0.20 wt. % Cr with A356 are taken for conducting the experiment. The stir casting method is the most suitable method for mixing the chromium particles into the metal matrix. It is a liquid-phase fabrication method that uses mechanical agitation approach to produce the required alloy. Impact testing and hardness testing are to be conducted on the specimen by using Charpy method and Rockwell hardness tester respectively. The tensile strength of the alloy can be analyzed with the help of a universal testing machine (UTM). The results are compared with the existing properties of A356 to analyze the improvements in mechanical properties.
The use of AA7075-T651 Alloy in Combat Vehicles Offers Superior Properties Compared to Steel, Providing Enhanced Strength and Durability: A Review
Authors: Kumar Amal C , Narayana Abey Vishnu
Published: December 2023

Friction stir welding (FSW) is a solid-state welding method that is widely used in industries such as aerospace and automotive. It is particularly effective in joining non-heat-treatable aluminium alloys like the 3xxx and 5xxx series, as well as the heat-treatable 7075 aluminium alloy. The 7075 alloy, developed by Alcoa in 1943, is composed of copper, zinc, magnesium, chromium, and small amounts of other elements. It exhibits high strength after undergoing a heat treatment process, surpassing that of many other aluminium alloys. Different temper designations, such as 7075-T-6, T-651, T-7351, T-73, T-76, T-7651, and W5-1, guide the use of the 7075 alloy. In this study, the focus was on the resistance of 25-millimetre-thick plates made of AA7075-T651 (a specific form of the 7075 alloy) to penetration by two types of projectiles. The base material and all three zones of the welded plates (weld nugget, heat-affected zone, and thermo-mechanically affected zone) showed resistance to penetration. Steel core bullets exhibited better penetration than lead core projectiles. The thermo-mechanically affected zone (TMAZ) was found to be the weakest region after friction stir welding, with signs of fracture including splinter fragmentation in the base material and front petalling in all zones of the welded plates. Microstructural analysis revealed no significant changes in the base material and weld nugget after the ballistic experiment. However, the TMAZ and heat-affected zone showed the formation of adiabatic shear bands, indicating localized deformation due to projectile impact. Overall, the study demonstrated that 25-millimetre-thick friction stir-welded AA7075-T651 intersections exhibited excellent performance under ballistic impact loads. This suggests that FSW could be a promising option for lightweight combat boats, providing increased strength and protection. These joints could also be beneficial for defence vehicles in various applications.
Manufacturing of Udimet using Powder Bed Fusion and Evaluation of its Mechanical Properties
Authors: Athul B , Joseph Alwin S , Amal M , Vishnu M R , Banarji Joobith
Published: December 2023

Udimet is a superalloy which possesses exceptional strength, corrosion resistance, and high-temperature stability in which they are primarily used in applications where materials must withstand extreme environments, such as in the aerospace, automotive, and energy industries. Casting and forging are the conventional metallurgical processing techniques that can be used to manufacture superalloys. Here, udimet alloy is being produced using one among the most versatile additive manufacturing processes, laser powder bed fusion. The manufacturing method referred to as Laser Powder Bed Fusion (LPBF) involves building three-dimensional components out of successive layers of material in which it enables the production of intricate geometries and patterns that are challenging or impossible to produce using conventional manufacturing techniques. By utilising laser energy, this particular type of additive manufacturing technique selectively melts and fuses metal powder into solid objects. This paper's goal is to give a general overview of the udimet alloy, which is made using a laser powder bed fusion process, as well as to summarise its key process parameters, mechanical properties, and metallurgical flaws and potential control strategies, all of which directly affect its mechanical properties.
Experimental Investigations on Reinforcement Configurations in RCC Micropiles
Authors: Jiji Jacob G , Unnikrishnan N
Published: December 2023

Micropiles are piles of short length and small cross sectional area. The non availability of equipment, high cost of installation of metallic piles and their susceptibility to corrosion have prevented the wide application of micropiling technique. Studies on driven reinforced cement concrete (R.C.C.) micropiles are discussed herein. The investigation was aimed at finding the suitable reinforcement configuration for such R.C.C. driven micropiles. Micropiles of different diameters and lengths were tested. Reinforcement configurations were chosen giving attention to the ease of casting the piles. The selection of concrete mix required several casting trials. Axial load tests and bending tests on laboratory model micropiles were undertaken. Crushing failure was noticed at the ends during axial load tests. Specially designed end sleeves are found to be very useful to prevent the failure of the micropiles at the ends. The use of end sleeves was also found to increase the axial load carrying capacity of the micropiles.
LOGCAT ANALYSIS OF MOBILE DEVICES TO IDENTIFY ERRORS
Authors:   Information Systems Student., Gabriel Ferreira Aguiar Joao , Gabriel Carvalho da Silva Vinicius ,   Information Systems Student., Gabriel Oliveira Pontes Vinicius ,   Information Systems Student., Augusto da Paz Elleres Pablo ,   Lecturer in Information Systems.
Published: December 2023

This study seeks to address the growing complexity in analyzing mobile device logs, a challenging task for testing professionals and developers. The diversity of applications and platforms results in a wide range of LogCat records, many of which are not relevant to the error identification process. To solve this problem, we have developed a highly efficient log filtering system. This solution employs advanced text processing and semantic analysis algorithms, capable of discerning between informative messages and those that indicate genuine malfunctions. The implementation of this system has resulted in a notable reduction in the time spent sorting and identifying errors, providing a more accurate and efficient analysis of LogCat logs. The results show a significant improvement in the effectiveness of the testing process and in the final quality of the applications developed.
COMPUTATIONAL VALIDATION AND ANALYSIS OF SEMI-QUANTITATIVE DATA USING IN-SILICO APPROACHES
Authors:   Department of Biotechnology, Koneru Lakshmaiah Education Foundation, Guntur, Andhra Pradesh, India., Satya Sri Pulla Sai , Chowdary Gullapalli Vennela ,   Department of Biotechnology, Koneru Lakshmaiah Education Foundation, Guntur, Andhra Pradesh, India., Vishnu Pothuri ,   Department of Biotechnology, Koneru Lakshmaiah Education Foundation, Guntur, Andhra Pradesh, India., Subhash Chowdary Pidikiti Yaswanth ,   Department of Biotechnology, Koneru Lakshmaiah Education Foundation, Guntur, Andhra Pradesh, India., Maram Vignaya ,   Department of Biotechnology, Koneru Lakshmaiah Education Foundation, Guntur, Andhra Pradesh, India., Narne Nagini ,   Department of Biotechnology, Koneru Lakshmaiah Education Foundation, Guntur, Andhra Pradesh, India., Shalom Kurapati Prathika ,   Department of Biotechnology, Koneru Lakshmaiah Education Foundation, Guntur, Andhra Pradesh, India., Kalyan Kasa Jaswanth ,   Department of Biotechnology, Koneru Lakshmaiah Education Foundation, Guntur, Andhra Pradesh, India., Singh Ranwas Reethika ,   Department of Molecular Biology, Cresent Biosciences, ICRAB Campus, Kanpur, Uttar Pradesh, India.
Published: December 2023

With the advent use of computers in every daily life the computational approacheshas collaborative effort between biologists and computer scientists and thus covers a wide variety of traditionalcomputer science domains, including data retrieval, data integration,data cleaning, data modeling, data mining, data warehousing, data managing, ontologies, simulation, parallel computing, agent-based technology, grid computing, and visualization. However, applying each of these domains to biomolecular and biomedicalapplications raises specific and unexpectedly challenging research issues. This review is to provide life scientists and computer scientists with a complete view on biological data management byidentifying specificissues, presenting existing solutions from both academia and industry and providing a framework in which to compare thesesystems.
ERASMUS SYNDROME: AN INTERFACE BETWEEN ENVIRONMENT AND AUTOIMMUNITY
Authors:   MBBS, MD, Professor, Department of Medicine, ABVIMS, Dr RML Hospital, New Delhi, India., Kumar Kundu Bijit , Deepak Desh ,   Consultant Pulmonologist, Department of Respiratory Medicine, ABVIMS, Dr RML Hospital., P.D.K Priyadarshini Dweepala ,   DNB Respiratory Medicine, Senior Resident, National Institute of Tuberculosis and Respiratory Diseases., Nagendra B.Y. ,   Department of Medicine, ABVIMS, Dr RML Hospital., Siwach Chetna ,   Resident, Department of Medicine, ABVIMS, Dr RML Hospital., Sharma Bhupendra ,   Resident, Department of Medicine, ABVIMS, Dr RML Hospital.
Published: December 2023

Introduction: Erasmus Syndrome (ES) is a rare condition in which Systemic Sclerosis (SSc) is caused by exposure to silica. The term Erasmus Syndrome was coined after cases of SSc were found among gold miners in South Africa. In India, there is a paucity of such reported cases which might be more due to unawareness of the entity rather than low prevalence. Though the treatment remains the same, ES provides a template for the study of interactions between the environment and our immune system. Case: We present the case of a male patient diagnosed with systemic sclerosis, who was referred to the Rheumatology Clinic of our institution, and which on further evaluation revealed the cause as occupational silica exposure thus changing the diagnosis to ES. Conclusion: We conclude that ES represents an interaction of the environment and the human immune system, with the environment being the factor in the earlier and more severe progression of the disease. We also underline the importance of awareness of this entity among clinicians and of taking a proper history, especially the occupational history of any patient of SSc.
A STUDY TO ASSESS THE EFFECTIVENESS OF PLANNED TEACHING PROGRAMME ON NURSINGCARE FOR PATIENTS ON TUBERCULOSIS IN CHIKKABANAVARA GOVERNMENT PRIMARY HEALTH CENTRE, BENGALURU OBJECTIVES OF STUDY
Authors:   Student of SMT.Nagarathnamma College of Nursing Bengaluru., Elza Thomas Sona , Ghosh Soma ,   Student of SMT.Nagarathnamma College of Nursing Bengaluru., Tirwa Simran ,   Student of SMT.Nagarathnamma College of Nursing Bengaluru., A.K Shanifa ,   Student of SMT.Nagarathnamma College of Nursing Bengaluru., Roy Sayantani ,   Student of SMT.Nagarathnamma College of Nursing Bengaluru., Nasar Ali S.K ,   Student of SMT.Nagarathnamma College of Nursing Bengaluru., Mohanlal Syam ,   Associate Professor, Department of Medical Surgical Nursing, SMT.Nagarathnamma College of Nursing Bengaluru., Nanjappan Devi ,   Principal Smt.Nagarathnamma College of Nursing, Bangalore.
Published: December 2023

A case study was conducted on the patients having Tuberculosis in Chikkabanavara Govt Primary Health Centre with the objective of assessing the effectiveness of planned nursing care for the Patients having Tuberculosis. All patients were having signs and symptoms of Dyspnea, Chronic cough, one patient had hypovolemia, temperature irregularities. After using standardized tool for assessment and planned nursing care to the patients their recovery process was satisfactory. At the time of discharge or end of study the patients major symptoms got relieved or alleviated and they and their relatives were satisfied with the care provided. Thus, it can be concluded that the planned nursing care was effective for the patients having Tuberculosis.
MOVING FROM INFORMAL INTERACTION TO FOCUSED KNOWLEDGE SHARING AMONG USERS IN AN AGENT-BASED LEARNING ENVIRONMENT
Authors:   Associate Professor, Department of Computer Science, Keshav Mahavidyalaya, University of Delhi, Delhi, India., Sharma Richa , a Aakanksha ,   Associate Professor, Department of Computer Science,Shaheed Rajguru College of Applied Sciences for Women, University of Delhi, Delhi, India.
Published: December 2023

Informal interaction among users may reveal significant information regarding their behaviors in smallcommunities. Although apps like WhatsApp are very popular for informal interaction activities, they, however, lack in providing the user with contextual information of other users present in the surroundings who might be helpful in addressing the queries thus enabling focused information exchange. Thus, there is a requirement of informal interactive environments that can be built on-the-fly, providing anytime-anywhere cost-effective interaction possibilities to the users. Mobile adhoc networks that can be built over wireless networks using wi-fi enabled smart phones, can provide a promising solution to the above problem, even in regions lacking adequate infrastructure. This paper proposes MAKSS, a mobile agent-based knowledge sharing system, comprising mobile user agents to facilitate information exchange among groups of users available in a close vicinity like a college campus. In this system, a user agent belongs to two views- a) a physical view formed by cellular frequency ranges of mobile devices b) a context view constituting a group of user agents having similar interests or contexts. These views help in dissemination of user queries and responses within a group (multicasting) or their routing to the intended persons (of same context as sender but belonging to different physical views). The simulated experiment highlights that the proposed system would work well in introducing users to the focused groups and also evaluates how user agents behave in the collaborative process of knowledge exchange on the parameters of inquisitiveness, responsiveness, reciprocity and cooperativeness.
PORTAL PARA LA GESTION DE OBJETOS DE APRENDIZAJE EN VIDEO CASO: FACULAD DE INGENIERIA DE LA UAC
Authors:   Profesor e Investigador de la Facultad de Ingenieria, Universidad Autonoma de Campeche., Concepcion Mex Alvarez Diana , Maria Hernandez Cruz Luz ,   Profesor e Investigador de la Facultad de Ingenieria, Universidad Autonoma de Campeche., Monserrat Llanes Chiquini Charlotte ,   Profesor e Investigador de la Facultad de Contaduria y Administracion, Universidad Autonoma de Campeche., del Carmen Castro Gongora Alejandra ,   Profesor e Investigador de la Facultad de Ingenieria, Universidad Autonoma de Campeche., Deyanira Flores Guerrero Mayra ,   Profesor e Investigador de la Facultad de Ingenieria Mecanica y Electrica, Universidad Autonoma de Nuevo Leon., Alejandro del Jesus Blanquet Rodriguez Mauricio ,   Alumno la Facultad de Ingenieria, Universidad Autonoma de Campeche.
Published: December 2023

El presente trabajo propone el desarrollo de un sitio web destinado a la gestion de los objetos de aprendizaje de la Universidad Autonoma de Campeche (UAC), con la finalidad de facilitar el acceso y compartir estas herramientas valiosas con la comunidad academica. El portal ofrece la administracion y consulta de objetos de aprendizaje, destacando por su capacidad de busqueda y categorizacion. Ademas, permite comentarios interactivos y la revision de videos, facilitando la interaccion entre maestros y estudiantes registrados en la plataforma. Se llevo a cabo un analisis de diversas herramientas para determinar la plataforma de almacenamiento del contenido multimedia. Se evaluaron opciones locales y en la nube, tomando en cuenta factores de complejidad y costos. La eleccion final fue PeerTube, ya que simplifica la administracion del servidor multimedia al facilitar su creacion de acuerdo con las caracteristicas y requisitos especificos del portal web.
Experience of using radiation monitoring systems in Russia during the 2018 FIFA World Cup
Authors: Saprykin K. A.
Published: December 2023

At the 2018 FIFA World Cup held in our country, great attention was paid to ensuring radiation safety. When holding mass events, there are risks of terrorist attacks that need to be taken into account. Therefore, the use of radiation monitoring systems during this period is primarily aimed at countering radiation terrorism. This article reviews the equipment and personnel of the Rospotrebnadzor radiation control laboratories in the regions of the Russian Federation that participated in the 2018 FIFA World Cup for readiness to perform the task of responding to cases of activation of radiation control systems. In addition, a comparative description of the radiation monitoring systems used during the 2018 FIFA World Cup and the experience of their operation at pedestrian inspection points located on the border of the security perimeter of stadiums are provided.