Volume 10 Issue 4 | International Journal of Science, Engineering and Technology

Detection and Categorization of Scoliosis Using CNN and SVM Algorithms

Authors -Pratik Shrestha, Aachal Singh, Ishika Sarraf, Riya Garg, Mahesh TR

Abstract- -Scoliosis is one of the most common diseases that is thrown under the radar. The lateral curvature and rotation seen in the vertebrae of the spinal column is classified in mostly 2 types: C-Curve and S-Curve. People need to be aware of the early signs and symptoms so that it is diagnosed in the proper time and manner. Scoliosis is mostly diagnosed and identified by taking X-ray medical images of the spine and on the basis of the sideways curvature image modality. In traditional scoliosis diagnosis detection, the treatment is based on spinal assessment which a manual study consisting of major limitations mainly is being very tedious, time-consuming and cost effective. Till date, without the assistance of technology, scoliosis diagnosis has been a critical task in the beginning because it all depended on the patient history records or even the captured x-ray images of the patient. Hence to ease up the process and provide better treatment experience, our research work is focused on categorizing the type of scoliosis in an effective, accurate and reliable way. This is obtained by analyzing and processing the input X-ray images obtained from the data-sets and even the patients suffering from scoliosis. To overcome the aforementioned limitations, we developed a point-based automated method at different regions of the spinal cord resulting in accurate results using the Convolutional Neural Network (CNN) algorithm and further compared it to Support Vector Machines (SVM) for better understanding.

A Survey on Cloud Computing and Security Methods

Authors -Megha Sharma, Asst. Prof. Sumit Sharma

Abstract- -Computing in the cloud is a form of internet-based computing that represents the subsequent stage in the development of the internet. In recent years, it has received a significant amount of attention, but one of the most significant factors that is slowing down the growth of cloud computing is the concern over security. However, because of this one aspect of cloud computing, there are many security issues that must be resolved and clearly understood. This article provides a comprehensive review of the various concerns regarding IAAS security. To protect one’s data and one’s privacy, a virtual machine needs to have adequate security. Methods that have been suggested by a variety of academics and can either directly or indirectly improve the cloud’s security are discussed here. Tenant-based measures were also considered to be potential solutions to the many problems that arose. A paper has outlined some of the trust techniques developed by researchers for determining whether or not a machine is malicious.

Butterfly Particle Swarm Optimization Algorithm for Cloud Data Retrieval

Authors – Astha Jain, Prof. Rajesh Nigam

Abstract- – Availability of digital data on cloud increases day by day. Out of different type of content arrangement and fetching of document files or text files are tough. This paper has developed a model that fetch document file from the clustered data structure. Arrangement of document in cluster data structure was done by Butterfly Particle Swarm Optimization algorithm. As hybrid nature of this algorithm has improve the work performance of cluster document arrangement. Term features were extracted from the document for finding the fitness of the chromosome in the population. This paper has fetch document file in encrypted form. Experiment was done on real dataset and result shows that proposed model content relevancy is high as compared to existing works of text file fetching.

Optimization Of Process Parameters In Extrusion Of Aluminium Alloy

Authors – M.Tech. Scholar Atul Kumar,Prof. Mayank Mishra

Abstract- – Recently extrusion processes have been used to make a wide range of metal products, including bars and tubes and strips and solid and hollow profiles, that are usually long, straight, semi-finished metal products.Analysis of temperature and extrusion load during in the extrusion of aluminium 2024 alloy was conducted in this study. This was determined that the best set of extrusion variables again for selected answers was discovered. Based on Taguchi’s L9 design matrix, the experiments were conducted out. ANOVA is used to determine which variables have a significant influence on the responses. Additionally, the percentage of each variable’s contribution to each response was graphically depicted. The Taguchi optimization method was used to find the best set of process variables based on the lowest S/N ratio. All of these ideal process variables aid in efficiently extruding the selected aluminium alloy at a low temperature and using the least amount of extrusion force possible. As a result, the extruded product’s quality was enhanced while using minimal energy..

Survey of Energy Aware Cluster Head Selection Techniques in Wireless Sensor Network

Authors – M. Tech. Scholar Rajesh Rekwal, Associate Professor Reshma shivhare,

Abstract- -Wireless sensor networks (WSNs) have recently gained a lot of popularity as a result of their low cost and the ease with which they can be maintained and managed. The network is made up of a collection of sensor nodes, each of which may perform sensing, computation, and transmission functions independently. WSN faces one of the most significant and difficult challenges in the area of energy efficiency. Sensor nodes have insufficient energy and are often put in far-flung locations. As a result, recharging the batteries in WSN is a challenging endeavour. As a result, proper clustering strategies and cluster head (CH) selection procedures have to be put into practise in order to achieve the greatest possible extension of the lifespan of the network. After first clustering the sensor nodes and concurrently reducing the data that has been constructed, the clustering approach then broadcasts the data. This is the primary concept that underpins the clustering technique. The selection of CH is an important component of this procedure. Therefore, this survey study gives an overview of the clustering approaches for lowering energy consumption by evaluating numerous CH selection techniques in WSN that provide excellent energy efficiency. These techniques can be found in the previous sentence. For the purpose of CH selection, a variety of methodologies, including partitional clustering, optimization, low-energy adaptive clustering hierarchy, hierarchical, distributed, and other classification strategies, have been used. In the end, an analysis is carried out based on the implementation tools, metrics used, accuracy, and successes of the various CH selection approaches that were taken into consideration.

Safe Vehicular Ad hoc Network: A Survey

Authors – M.Tech. Scholar Rajendra Thakur, Assistant Professor Megha Jat

Abstract- -The next generation of vehicle networks is called VANET, and its applications will play a crucial role in ensuring the safety of human lives when they are travelling on highways. When implementing VANET in a practical context, security is one of the most important and obvious elements to consider. Various researchers have previously provided a variety of solutions to the problem, which aims to make it safe against attackers and assaults on networks. In this overview study, explore in depth the many computing approaches that are available, and explain how they relate to vehicular networks. Employing these computational strategies to protect the vehicular network against attackers and assaults. Computing techniques such as trusted computing and cloud computing are examples of some of the several kinds of computing approaches that have previously been covered in VANET. However, there are still other computing methods, such as quantum computing and pervasive computing, that need to debate their connection with VANET and the security of the network.

Lower Tapi River Basin Delineation using Geographical Information System (GIS)

Authors – Asst. Prof. Bhumika D. Mistry

Abstract- – TWatersheds are natural hydrological feature that cover a specific aerial expanse of land surface from which the rainfall – runoff flows to a defined channel, drain, channel or river at any specify point. Catchment area and watershed delineation is common task in Water resources engineering and hydrology. DEM is spatial grids which are used to automatic delineation of watershed boundary determination. DEM based Arc-Hydro model was run on the dataset of the Lower Tapi river basin. Several intermediate results were produced while model run and basic parameter of the Tapi River, its catchment area has been defined at the end of model. The result of this study area can be useful in Rainfall-Runoff analysis and other advance research technology on the catchment area or river basin. Adding to this, it would have support for decision making on ground as well as surface water resource, distribution and management. This study of delineated watershed is further used to calculate hydrologic features by SCS-CN technique for developing a Rainfall-Runoff model in MATLAB. It is observed that the study area i.e., Lower Tapi basin is well drained and the drainage is in a well-integrated pattern. Current Study demonstrated that GIS is found to be flexible technology and is relatively easy to apply on large scale areas enabling gathering of data with information in a common data base for watershed delineation analysis and stream network process.

Design & Simulation Of Om Shape Antenna For 4g Applications

Authors – Research Scholar Sonia, Asst.Prof. Gaurav Nagpal

Abstract- – This research article reports a new Dielectric Resonator Antenna (DRA) with its Dielectric resonator (DR) modified to an “OM” shape for UWB (3.1-11.1 GHz), to support high data rate multimedia applications for 4G/5G communications. The proposed DRA reports a peak gain of 7.68 dB and a dual polarization behavior for a frequency band from 6 to 11.1 GHz. It has overall antenna dimensions of 50 × 40 × 4.87 mm3 and is fabricated on a commercially available Rogers RT 5880 substrate (with εr = 2.2), which is fed using a microstrip feedline with a P-type transformer that offers an input impedance of 50 Ω to the DR. A conformal strip between the feedline and the OM shaped DR improves the impedance matching at the UWB frequency response of the DRA. The proposed DRA therefore exhibits an elliptically polarized behavior with axial ratio bandwidth of 5.1 GHz (≤10 dB) from 6 to 11.1 GHz. A measured impedance bandwidth of 5.25 GHz from 3.8 to 9.05 GHz and 1.5 GHz from 10 to 11.5 GHz and a peak-measured gain of 7.68 dB at 10.5 GHz (with an average gain of 4.6 dB) has been reported for the proposed DRA. An UWB performance, with good gain properties and an elliptically polarized behavior allows the proposed “OM” shaped DRA to be suitable for short range 4G/5G UWB wireless communications for future multimedia rich WPAN (wireless personal area networks), WLAN, Wi-MAX, INSAT applications, satellite applications, and X band RADAR (for defense communication) applications.

Influence of Welding Process on Microstructure & Mechanical Properties of Zinc Brasses

Authors – M. Tech. Scholar Sachin Kumar Varshney, Prof. Dr. Amit Gupta, Asst. Prof. Dr. Sono Bhardawaj

Abstract- – Dissimilar lap welded joints of copper and brass metals were fabricated by friction stir welding (FSW) method at various welding heat inputs. The effect of welding heat inputs on the microstructure and mechanical properties of overlap welded joints at at two different join configurations (i.e. Advancing side and Retreating side joint configurations) was investigated. In both joint configurations, copper and brass plates are located on the top and bottom plates, respectively. Tensile-shear and vicker’s micro hardness tests were conducted to evaluate the mechanical properties of dissimilar lap welded joint. In order to analysis of microstructure and fracture surface of lap welded joints, optical microscope (OM) and scanning electron microscope (SEM) were used. The obtained results showed that the weld surface of samples was appeared without groove defects, low superfluous flash and oxidation, when the welding heat input is increased. Onion ring pattern characterized by the stack of copper and brass metals is identified in the weld nugget zone (WNZ) where metal flow structures can be observed. With decreasing welding heat input, tensile-shear strength increased at both joint configurations. The highest hardness was exhibited in the WNZ with increasing welding heat input in both joint configurations.

Performance Enhancement of Wireless Sensor Network Using GWO Algorithm

Authors – M.Tech. Scholar Km Anuradha, Asst. Prof. Asst. Prof. Hemlata

Abstract- – The enormous potential for sensor networks to link the real world with the virtual world has skyrocketed the interest in Wireless Sensor Networks (WSN). Due to the fact that many sensor devices use battery and node energy, changing them might be a challenge. As a result, increasing the energy efficiency of these networks, or their “lifespan,” becomes critical. A fuzzy logic controller is used to increase WSN energy efficiency through clustering and the selection of cluster heads. On the basis of network longevity, it does a comparison of the various ways. It compares the Gray wolf optimization (GWO) algorithm with the current ABC optimization approach for various network sizes and scenarios. It offers a high-performing and computationally simple approach for selecting cluster heads. In addition, it offers GWO as a clustering technique for WSN, which would increase performance and convergence more quickly.

Object Tracking in Videos Using Filtrations Technique

Authors – M.Tech. Scholar Yogita, Asst. Prof. Divya

Abstract- – To insure the safety of people in public as well as domestic places, surveillance cameras are being installed everywhere such as in banks, malls, markets, academic institutions, parking and most importantly on the roads where the traffic, both pedestrians as well as on wheels, is present 24×7. Different situations are captured by surveillance cameras installed at different places, like accidents on the roads are handled by cameras installed on the roads or traffic lights and crimes are handled by cameras installed in the household or streets or colonies and especially illegal activities happening in hotels or public places. The Particle Filters are suitable for object tracking in non-Gaussian environments with dynamic background thereby outperforming the conventional Kalman Filters; the third approach proposes the novel Branching Particle Filters that removes the limitations of particle filters.

Modeling Battery Monitoring System (Bms) On Photovoltaic Based Moving Average And Autoregressive Integrated Moving Average Model (Arima)

Authors – Ahmad Muhtadi, Bambang Sri Kaloko, TriwahjuHardianto

Abstract- – Battery Management System (BMS) is a tool used to monitor and manage battery conditions. In battery modeling to engineer batteries, it is necessary to identify the parameters. Accurate modeling and identification of parameters are required to create a reliable BMS system. In this study, battery modeling was carried out using a moving average and ARIMA model because it was able to predict the shape of the data to resemble its original form and was significant. Meanwhile, the identification of parameters is carried out using test data that has been carried out on a dataset of power consumption for 1 year. The results obtained by the ARIMA model which has the best accuracy for predicting BMS, namely the MSE test: 0.076 with a relatively small error deviation value.

Integrated Approach of Abrasive Jet Machining and Magneto Finishing: A Review

Authors – M. Tech. Scholar Vimal Kumar Saini, Asst. Prof. Sono Bhardawaj, Prof. Amit Gupta

Abstract- – In this paper, we will discuss the effect of hybridization of abrasive jet machining and magneto finishing. The latest hike in the usage of hardness, highest potency & temp. resisting equipment in technology imposed the progress of new-fangled machine operation process. Traditional machine operation or concluding processes are not again related to the substances like carbides; ceramics. Traditional machining procedures whenever concerned to such new-fangled substances are too costly, Create reduced degree of surface finish and precision; generate some stress, extremely deficient. New-fangled machining procedures may be categorized due to temperament of energy in work. AFM is somewhat newest procedure along with non-traditional machined Technique. Low substance elimination rate occurs to be one serious inadequacy of nearly the entire procedures. MAFM is an innovative expansion in AFM. By means of magnetically fielding in the region of the work portion in AFM, we can amplify the material removal rate in addition to the plate finishing.

Influence of Welding Process on Microstructure & Mechanical Properties of Zinc Brasses: A Review

Authors – M. Tech. Scholar Sachin Kumar Varshney, Prof. Dr. Amit Gupta, Asst. Prof. Dr. Sono Bhardawaj

Abstract- – The friction stir welding (FSW) method was used to construct lap welded connections of copper and brass metals with different welding heat inputs. At two different joint configurations (Advancing and Retreating side), the microstructure and mechanical characteristics of overlap welded joints were studied to determine the effect of welding heat inputs on the microstructure and mechanical properties. Copper and brass plates are situated on the top and bottom plates, respectively, in both joint arrangements. The mechanical parameters of a dissimilar lap welded joint were evaluated using tensile-shear and vicker’s microhardness tests. Optical microscope (OM) and scanning electron microscopy (SEM) were used to examine the microstructure and fracture surface of lap welded joints. Increasing the welding heat input resulted in the weld surface of the samples not showing any groove flaws, low unnecessary flash, or oxidation, according to the data. The weld nugget zone (WNZ) is defined by an onion ring pattern characterized by the stack of copper and brass metals. Strength in both tensile and shear was enhanced by reducing welding heat input. In both joint designs, the WNZ displayed the maximum toughness with increasing welding heat input.

Integrated Approach of Abrasive Jet Machining and Magneto Finishing

Authors – M. Tech. Scholar Vimal Kumar Saini, Assistant Prof. Sono Bhardawaj, Professor Amit Gupta

Abstract- – In this paper, we will discuss the effect of hybridization of abrasive jet machining and magneto finishing. New-fangled machining procedures may be categorized due to temperament of energy in work. AFM is somewhat newest procedure along with non-traditional machined Technique. Low substance elimination rate occurs to be one serious inadequacy of nearly the entire procedures. MAFM is an innovative expansion in AFM. By means of magnetically fielding in the region of the work portion in AFM, we can amplify the material removal rate in addition to the plate finishing. In the current effort Al-606were punctured & exhausted by customary machine operation capacity & surfacing finished up were made by methods for rough stream machining. Testing was grasped for information requirements like rough pondering, grating system degree and no of cycles. The yield counter is substance disposal pace.

Design Of Microgrid Energy Management system At nurul Jadid Islamic Boarding School Proboling go Indonesia

Authors – Novangga Adi Mulyono, Bambang Sri Kaloko, Bambang Sujanarko

Abstract- – Along with developments in technology, the demand for electric power is increasing so that electrical energy providers are required to provide an adequate supply of electricity. However, the electrical energy distributed to consumers still uses fossil energy and gradually the amount of fossil energy will be depleted. Solar cells utilize solar energy as renewable energy that can be maximized in Indonesia. The operation of solar cells on a microgrid needs to be evaluated and optimized to achieve a reliable but still efficient performance. This paper develops an energy management model for microgrid optimization. The power sources connected to the microgrid consist of the PV mini-grid system, battery system, and electricity from the public grid. The design resulting from this research is able to optimize energy management. So that the use of electrical energy is dominated by solar panels. The percentage of solar panel energy use increases to 75% and the cost of electricity generation decreases).

A Survey on Medical Image Disease Diagnosis Features and Techniques

Authors – Kanupriya Chouksey, Dr Sunil Phulre, Dr Sadhna Mishra

Abstract- – Now a days number of diseases are mostly found in animals, plants and humans. Almost in all ages of human beings infections related to brain, skin, stomach, etc. diseases can occur. So, it becomes necessary to identify these diseases at the very primary stage to control it from spreading. In this paper a deep survey of various approaches of image diagnosis was discussed. Common steps of image diagnosis was shown in the paper. he concepts, benefits, risks and applications of these techniques will present with details. Features used by the scholars for the segmentation of image was also list in paper.

G+12 Building Design and Performance Parameters Optimization Using ANOVAs Method

Authors – ME Student Brijesh Pandey , Prof. Rajeev Chandak

Abstract- – Unique structures require more time for analysis and design due to their time-consuming calculations, if we use manual methods it will require more time for their calculations along with more probability of errors. STAAD Pro is a computer aided software which is used for solving complex engineering problems and provides us a quick results. STAAD Pro is a user friendly, easy to use software which gives us results pretty quickly along with fair level of accuracy. It is used for analysis and design of any structure with its wide scope of problem-solving tools. STAAD Pro has wide scope of sections, material properties, different Codal Provisions inbuilt commands along with user defined assignments. In India, STAAD Pro is used as per Indian Standard and Practices while it gives freedom for the consideration of different countries codes which are applicable to different regions around the globe. We can conclude that this software can save much time and very accurate in analyzing and designing of different structures along with being accurate. An ANOVA method is a statistical method used to find out if the results obtained are significant. In this project, a G+12 Building model is prepared and analyzed with the help of STAAD Pro by considering the various loads viz. dead, live, combination. The results are studied and compared by manual calculations. ANOVA Test is then used in order to find if the results are significant with the help of Microsoft excel. In the STAAD Pro the designing is done by better way for creating Geometry, defining the cross sections for column and beams etc, creating specification and supports according to the requirement. Then the Loads are defined with the help of loads envelop which is available in the loads and definition tab of STAAD Pro. After applying all the loads, the model is checked for any error, and the model is analyzed through ‘run analysis’ tab. Then the results are obtained by post possessing of the model. The results obtained are then taken into Microsoft excel for the ANOVA test. The analysis of variance is then applied with the help of data analysis in the excel software and the results are interpreted.

To Investigate Optimum Design of Fins Model for Better Heat Transfer by using ANSYS Software

Authors – M.Tech. Scholar Gaurav Pratap Singh, Asst. Prof. Saumitra Kumar Sharma

Abstract- – The Engine cylinder is one of the essential engine components that are subjected to inordinate temperature variations and thermal stresses. Fins are put on the surface of the cylinder to upgrade the rate of heat exchange by convection. The present investigation explains the reviews on heat dissipation augment and the comparable pressure drop over a plane surface, pin fins distinctive molded (circular, rectangular) fitted with cylindrical cross-sectional in order to enhance the change in the heat exchange rate. In heat dissipation applications, heat sink is utilized. More previous style heat sinks are frequently deficient for cooling latest and more blazing running parts extended surfaces, for example, blades increment the heat dissipation rate perforations in the fins additionally builds heat dissipation rate. One of the essential components of the engine chamber is the engine chamber that is exposed to high temperature and heat stress. The fines are placed on the cylinder surface to improve the amount of convection heat exchange. Heat is created when the fuel is burned in a motor. The friction between the moving parts often creates additional heat. Extended surfaces called fins are provided in the air-cooled I.C engine on the periphery of motor cylinders to improve heat transfer. Therefore, fin analysis is important in order to improve the heat transfer rate. The main objective of this work is to study different studies carried out in the past to increase the cooling fine heat transfer rate by adjusting the geometry and material of the cylinder fin. In this work the temperature variations of fins produced throughout four geometries (fins of plates, circular pins, holes and pipe fins), as well as a clear state heat exchange study have been tested using ANSYS software to test and authorize performance, respectively The experiments have been carried out to detect temperature changes in fins. The variations on temperatures in different fine models in the field are measured by FEM and compared the fine performance models using the experimentally generated heat flow and the temperature variations in Ansys. In this project, the idea is to increase the rate of heat dissipation by using the wind travel. The main objective of the study is to improve the thermal properties by changing geometry, material and fine design.

A Review of Flexible Pavement Using CBR Method

Authors -M.Tech. Scholar Harshit Saxena, Asst. Prof. Anuj Verma, Asst. Prof. Mohd Rashid

A Review of Partial Replacement of Fine Aggregate with Demolished Waste

Authors – M. Tech. Scholar Zubair Ahmad Dar, Asst. Prof. Anuj Verma

Abstract- – Waste creation will also increase as a result of the rapid development of industries and concrete regions, which is having a detrimental impact on the environment. Due to ongoing infrastructure development, emerging nations such as India require massive amounts of construction materials while also producing massive amounts of construction and demolition waste on a yearly basis. This waste disposal could have major consequences since, on the one hand, it takes up a lot of space and, on the other hand, it pollutes the environment. Natural resources such as stone, sand, and other resources must also be conserved and preserved. Another big disadvantage is the continual use of natural resources such as sand and streams, which deepens the streambed and generates draughts while also changing the weather. As a result of the housing industry’s substantial use of natural resources and waste production, there is growing concern for our planet’s future.

A Review On Ecg Signal Noise Reduction And Performance Enhancement Of Signal Parameters In Pqrs Detection

Authors -Shobha Parashar, Assistant Professor Hemant Amhia

Abstract- – As we know current era is totally based on innovative technology. Medical science is one of the important needs for every human being. As we know ECG signal processing has become a effective tool for research and medical practices. A typical computer based ECG analysis system includes a signal pre-processing, beats detection and feature extraction stages, followed by classification. Automatic identification of arrhythmias from the ECG is one important biomedical application of pattern recognition. As we also know in current era heart is diagnosed is done with the help of ECG. Here ECG signal is recording form of electrical activities which is generated by human heart. Now some time due to some electrical issue may be there is chances of generation of some wrong information of ECG signal which is really too much dangerous for the patient. So there is need of some effective filtering applications which will filter the output of ECG signal and generate the real ECG signal which will help for human health diagnosigation. So in this paper we present the comparative study between all existing filter.

A Review Article of Adaptive ECG Signal Time Frequency Analysis and Signal Quality Assessment Using AI

Authors – Swapnil khare, Assistant Professor Hemant Amhia

Abstract- – This review paper deals with the study and analysis of ECG signal processing by means of various tools ,techniques and algorithms. Study of ECG signal includes generation & simulation of ECG signal, acquisition of real time ECG data, ECG signal filtering & processing, feature extraction, comparison between different ECG signal analysis algorithms & techniques (i.e. discrete Wavelet transform or so), detection of any abnormalities in ECG and so on. Finally, in the concluding part about its technological implementation using various small, inexpensive and easy to use devices.

Review EMG Signal Muscle Activity Detection and Wavelet Spectrum Matching Using DB Transform Method

Authors – Rakshit Bhagat, Assistant Professor Hemant Amhia

Abstract- – Purpose of this research paper is to Review identify the Electromyography Signal from muscle activation Signal. Electromyogram (EMG) is a complex signal, which was collected by nervous system depends on the anatomical and physiological properties of the muscles. The EMG signals were collected from the laboratories and experimentally recorded using surface electrode of healthy, myopathic and neuropathic subjects. These signals get corrupted by the noise while travelling through different tissues.

Hydrogen Fuel Based Public Transport for Delhi

Authors – Assistant Professor Anjali

Abstract- – Given the success of Delhi’s CNG vehicle program, energy stakeholders are now investigating a transition to hydrogen-compressed natural gas (H-CNG) blends in the city. Past research has shown H-CNG can reduce tailpipe emissions of both criteria and greenhouse gas pollutants relative to diesel, CNG, and gasoline. However, an unanswered question is how Delhi will satisfy the potential hydrogen demand in a sustainable manner. We conduct a techno-economic assessment of hydrogen production from gasification of the three most abundant agricultural residues near Delhi e rice straw, cotton stalk, mustard stalk e and find these residues could provide the city with up to 270,700 metric tons per year of hydrogen. This quantity far exceeds what is needed to run all existing CNG vehicles on 18%-82% H-CNG blends. The cost of each step of the bio-hydrogen supply chain is calculated and the total cost is estimated at 149.6 rupees ($3.39) per kg. Lastly, we show that the price of H-CNG at the pump would be roughly equivalent to CNG on a per mile basis.

Technological Advancements in Risk Management: From Predictive Analytics to AI

Authors – Chintamani Bagwe

Abstract- – Risk management is very critical for the success of a firm in the current fast-paced, dynamic, and complex business environment. This article discusses the implication of technology in risk management and highlights some examples of technological development that could reinvent risk process management. The article has explored the many benefits and potential benefits of utilizing technology in the risk management process. It also recommends getting suitable risk management software that can help an organization’s risk management processes.

DOI: /10.61463/ijset.vol.10.issue4.327