International Journal of Advanced Research in Science, Management and Technology
The International Journal of Advanced Research in Science, Management, and Technology (IJARSMT) is a premier, multidisciplinary, open-access, and peer-reviewed journal. It serves as a vital platform for researchers, academicians, industry professionals, and scholars to disseminate innovative research. Our mission is to bridge the critical gaps between scientific discovery, modern management practices, and technological innovation. In an era where research often happens in silos, IJARSMT acts as a unifying forum, fostering collaborative progress to address the complex challenges of the 21st century. Core Focus Areas We welcome original research, review papers, case studies, and technical notes across three primary pillars: Science: Pushing the boundaries of fundamental and applied sciences, including Life Sciences, Biotechnology, Physical & Chemical Sciences, Earth & Environmental Sciences, Materials Science, and Mathematics & Statistics. Engineering & Technology: Focusing on sustainable and next-generation pathways that drive global infrastructure and industrial evolution. We invite high-quality research across:. Computing & Information Technology: Artificial Intelligence (AI), Machine Learning, Deep Learning, Data Science, Cybersecurity, Cloud Computing, Big Data Analytics, and Internet of Things (IoT). Civil & Structural Engineering: Smart Infrastructure, Sustainable Construction Materials, Structural Dynamics, Earthquake Engineering, and Urban Planning. Mechanical & Industrial Engineering: Robotics, Automation, Clean Manufacturing Processes, Thermal & Fluid Systems, CAD/CAM, and Mechatronics. Electrical & Electronics Engineering: Power Systems & Smart Grids, Renewable Energy Technologies, VLSI Design, Embedded Systems, Signal Processing, and Control Systems. Chemical & Process Engineering: Nano-Technology, Biochemical Engineering, Waste-to-Energy Systems, and Advanced Material Synthesis. Environmental & Energy Engineering: Waste Management, Water Resource Engineering, Green Technology, and Sustainable Energy Systems. Communication Systems: Next-Generation Networks (5G/6G), Optical Communications, and Satellite Communication. Management: Promoting modern strategies that balance economic viability with organizational excellence. We cover Business Strategy, Operations, Supply Chain, Human Resources, Finance, E-Commerce, and Corporate Governance. Why Publish With Us? Multidisciplinary Approach: A holistic forum for integrated research that combines science, tech, and management. Rigorous Peer Review: Our double-blind review process ensures high-quality, reliable, and impactful publications. Global Reach: An open-access model ensuring your work is accessible to a worldwide audience, enhancing visibility and citation potential. Commitment to Sustainability: We champion "performability engineering," encouraging research that considers the full life cycle of products—from design to disposal.
This work is licensed under a Creative Commons Attribution 4.0 International License . Under this license, authors retain ownership of the copyright for their articles. By submitting to the International Journal of Advanced Research in Science, Management, and Technology (IJARSMT), authors grant the journal the right of first publication. Users are free to share, copy, and redistribute the material in any medium or format, and to adapt, remix, transform, and build upon the material for any purpose, including commercially, provided that appropriate credit is given to the original author(s) and the journal, a link to the license is provided, and any changes made are indicated.
Survey of various data duplication method and security algorithm issue in cloud computing
Resource sharing in a pure plug and play model that dramatically simplifies infrastructure planning is the promise of „cloud computing‟. The two key advantages of this model are ease of-use and cost-effectiveness. Though there remain questions on aspects such as security and vendor lock-in, the benefits this model offers are many. This paper explores some of the basics of cloud computing with the aim of introducing aspects such as: Realities and risks of the model Components in the model Characteristics and Usage of the model The paper aims to provide a means of understanding the model and exploring options available for complementing your technology and infrastructure needs. Internet and network application are growing very fast and use of cloud computing has increased rapidly in today’s world. cloud computing offers a new way to deliver services by rearranging resources over the Internet and providing them to users on demand. It plays an important role in supporting data storage, processing, and management in the Internet of Things (IoT). Various cloud service providers (CSPs) offer huge volumes of storage to maintain and manage IoT data, which can include videos, photos, and personal health records. Cloud computing provides many advantages such as reducing ost, n-line, on-demand services and accessibility of data. Cloud computing defined different computing idea which includes huge number of peripheral device connected with real time communication like internet in computer networking. Now days due to benefited in storage technology and networking, larger function of data is being maintained in digital form. Similar data storage in disk is responsible for unnecessary storage space of data. Data de-duplication is effective way to reduce the storage space and optimize the utilization of storage space. Duplication records appear when uniform storage technique is used in data base. Identification of duplicate data is time consuming. In this paper we concentrate about data de-duplication technique and security mechanism because Organizations are transferring important information to the Cloud that increases concern over security of data. Cryptography is common approach to protect the sensitive information in Cloud. Encryption algorithm plays a main role in information security system. In this survey paper we examine bout various security algorithm comparison.
Copyright (c) 2023 https://creativecommons.org/licenses/by/4.0
Nymble: Preventing Misbehaving Customers in Anonymizing Communities
The approach of anonym zing systems guaranteed that clients could get to web administrations with complete privacy maintaining a strategic distance from any conceivable impediment. This game plan where arrangement of switches structure a system, conceal the client's IP address from the server. However misbehaviour of few malpractitioners has left this framework with a proviso where clients make utilization of this obscurity to mutilate mainstream sites. Executives who can't for all intents and purposes obstruct a client utilizing IP location are compelled to close all conceivable hubs that prompt way out. Along these lines deny access to both carrying on and non-behaving users out and out. Thus wind up blocking clients with no bargain to their obscurity. Subsequently we propose a framework which is undogmatic with diverse servers. In this way we go for giving the chairman the privilege to obstruct the malevolent client without blocking the obscurity of the rest.
Survey of Various Data Deduplication Method and Security Algorithm Issue in Cloud Computing
Cloud computing has become a widely adopted platform for large-scale data storage and management. However, the rapid growth of data has led to the problem of duplicate data storage, which increases storage requirements, reduces server efficiency, and degrades overall system performance. This paper proposes a de-duplication framework that enhances cloud storage performance by identifying and eliminating redundant data before it is stored on the server. The proposed approach employs the Term Frequency–Inverse Document Frequency (TF-IDF) technique for feature extraction and an inverted index for efficient duplicate detection and retrieval. By storing only unique data instances, the system optimizes storage utilization, reduces redundancy, and improves search efficiency. Experimental results demonstrate that the proposed method improves server performance by reducing de-duplication time, increasing storage efficiency, and enhancing search accuracy in terms of precision and recall. The proposed framework provides an effective solution for cloud data management and can be extended in future work by integrating advanced de-duplication techniques with secure data transmission and encryption mechanisms to further improve security and time efficiency.
Formulation and Evaluation of Fast Mouth Dissolving Film of Tenofovir Disoproxil Fumarate
Mouth dissolving dosage forms are gaining popularity in recent time because of good patient compatibility, fast disintegration time, flexibility in transportation etc. In this research work Tenofovir Disoproxil Fumarate (TDF) is used to treat chronic hepatitis B. TDF is an antiretroviral drug. TDF is selected as model drug for the preparation of Mouth dissolving film (MDF). MDF was prepared by solvent casting method using HPMC E15 & PVP K30 as film former and Glycerol & PEG-400 as plasticizers. MDF were evaluated for physical characteristics such as tensile strength, percentage elongation, drug content uniformity, surface pH, folding endurance, uniformity weight, and thickness and gave satisfactory result. The formulations were subjected to disintegration time, in vitro drug release test and stability study. The FTIR studies revealed that there was no physicochemical interaction between excipients and drug. The FTIR studies revealed that there was no physicochemical interaction between excipients and drug. A marked % drug release was exhibited by MDF of TDF containing HPMC E15 as a polymer at 30 sec.
Local Tetra Patterns: A New Feature Descriptor for Content-Based Image Retrieval
In this paper, we propose a novel image indexing and retrieval algorithm using local tetra patterns (LTrPs) for content-based image retrieval (CBIR). The standard local binary pattern (LBP) and local ternary pattern (LTP) encode the relationship between the referenced pixel and its surrounding neighbors by computing gray-level difference. The proposed method encodes the relationship between the referenced pixel and its neighbors, based on the directions that are calculated using the first-order derivatives in vertical and horizontal directions. In addition, we propose a generic strategy to compute th-order LTrP using th-order horizontal and vertical derivatives for efficient CBIR and analyze the effectiveness of our proposed algorithm by combining it with the Gabor transform. The performance of the proposed method is compared with the LBP, the local derivative patterns, and the LTP based on the results obtained using benchmark image databases viz., Corel 1000 database (DB1), Brodatz texture database (DB2), and MIT VisTex database (DB3). Performance analysis shows that the proposed method improves the retrieval result from 70.34%/44.9% to 75.9%/48.7% in terms of average precision/average recall on database DB1, and from 79.97% to 85.30% and 82.23% to 90.02% in terms of average retrieval rate on databases DB2 and DB3, respectively, as compared with the standard LBP. \
A Technique for Improving Size-Based Scheduling Using Hadoop
Scheduling with Size-based perceived as a powerful way to deal with ensure reasonableness, needs, parsing, work lining and close optimal framework reaction times. We display a scheduler acquainting this method with a genuine, multi-server, complex and generally utilized framework, for example, Hadoop. Booking requires from the earlier occupation estimate data, acceptance, preparing, and recoveries. Planning constructs such information by evaluating it on-line amid occupation execution. Our scheduler, which is based on reasonable workloads produced by means of a standard benchmarking suite, pinpoint at a huge decline in framework reaction times as for the broadly utilized Hadoop scheduler, and demonstrate that our Scheduler is to a great extent tolerant to occupation measure estimation blunders with Hadoop as database.
Content Based Image Retrieval system using Feature Coding
Image retrieval used in CBIR is based on image features viz. color, texture, shape, size etc. CBIR system is used in various areas like medical, academic, art, fashion, entertainment. Image classification framework projects a linear training complexity and great interpretability which is missing in customary models. Feature coding which is a key component of image classification, greatly influences in terms of both accuracy and speed. For this, the most imminent BoF framework is used. There are numbers of feature coding techniques available. Out of these techniques, Super Vector Coding (SVC) outperforms in both speed and accuracy, as it reconstructs a feature without deviation.
Phishing Websites Detection Using Machine Learning
Phishing is a common attack on credulous people by making them to disclose their unique information using counterfeit websites Phishing website is one of the internet security problems that target the human vulnerabilities rather than software vulnerabilities. It can be described as the process of attracting online users to obtain their sensitive information such as usernames and passwords. In this paper, we offer an intelligent system for detecting phishing websites. The system acts as an additional functionality to an internet browser as an web page based extension that automatically notifies the user when it detects a phishing website. The system is based on a machine learning method, particularly supervised learning.
“Social media users” Sentiment Analysis by Naïve Bayes text mining algorithm
The errand of finding, looking, to remove and to arrange the conclusion on is named as Sentiment Analysis (SA). SA goes under the following of open sentiments for specific approaches, lawa, or promoting techniques by processing the natural language (NLP) It includes a way that improvement for the assortment and assessment of remarks and suppositions about enactment, laws, strategies, and so on., which are posted on the internet based life. This paper tends to the issue of sentiment analysis in twitter; that is grouping tweets as per the sentiment communicated in them: positive and negative. Twitter is an online miniaturized scale blogging and long range interpersonal communication stage which permits clients to compose short announcements of most extreme length 140 characters. It is a quickly extending administration with more than 200 million enlisted clients - out of which 100 million are dynamic clients and half of them sign on twitter regularly - producing almost 250 million tweets for each day. Because of this enormous measure of utilization we would like to accomplish an impression of open sentiment by breaking down the sentiments communicated in the tweets. Breaking down the open sentiment is significant for some applications, for example, firms attempting to discover the reaction of their items in the market, anticipating political decisions and foreseeing financial wonders like stock trade. In this paper we build up a useful classifier for precise and programmed sentiment classification of an obscure tweet stream by utilizing Naïve Bayes and most extreme entropy calculation. Here we utilized a dataset shaped of gathered messages from Twitter in test arrangement. The objective is to mechanize the way toward mining mentalities, suppositions and concealed feelings from content.
Cuisine Prediction Based On Ingredients Using Algorithm
The cooking and recipe sharing has been a common thing done now a days. The resulting huge collection of recipes and ingredients helps us to understand the basics of cooking as well as food pairing. With the increasing popularity of food based and recipe sharing, there have been several platforms that have come up with cooking suggestion procedures or recipe engines. Even though this recommendation system suggests recipes, it is not able to exploit the correlation of ingredients with their cuisines. In proposed system, we aim to predict the cuisine based on ingredients as input. The user will get predicted cuisine as well as they will get to see the recipe of the dish. The system will make use of machine learning algorithm such as Naïve Bayes.
A Review on Installation of Raw Water Pumping Station
The expense of energy is one of the is most significant thing in raw water pumping station. Because of persistent flexibly of raw water there is huge measure of power is required to siphon, transport and gracefully water . raw water pumping station is only for flexibly the raw water to the water treatment station, ranches from the store or streams. A few times all city sump water additionally can be siphon with such pumping station. The other option (a), generally the limit plan of raw water pumping stations, there are loads of verity of siphon type, limit and number of siphon bunches that winds up in least structure and working expenses for a given water request. With the decision (b), if time-of day energy tariff is available, the supply is utilized for putting away water that is siphoned during off-top hours to be utilized during top hours. Likewise, the consideration of repositories permits a leveling of pumping plans that is unphill by pumping straightforwardly into the water conveyance framework. This grants pumping stations to control close to ideal energy productivity.
Symantec Image Retrieval using Content Based Image Retrieval with Feature extraction
Content Based Image Retrieval (CBIR) is an approach for retrieving related images from an picture data store based on automatically-resulting image features. The quality of a retrieval scheme depends on the features used to explain image content. Image retrieval in all-purpose and content based image retrieval in particular is well-known research fields in information management. An image contains numerous types of illustration information which are difficult to pull out and combine physically by humans. Feature extraction algorithms and comparison measures for image assessment are usually the basis of most CBIR schemes. Search in image data content uses the short–level extration features such as colour, texture and shape.
An Effective Way to Minimize the Area and Delay of Carry Select Adder
Within this paper, the logic functions engaged in conventional carry select adder (CSLA) and BEC-based carry select adder (CSLA) i.e., binary to excess-1 converter based carry select adder are estimated to study the data dependence and to recognize unneeded logic functions. We have removed all the unnecessary logic functions built-in in the conventional CSLA and proposed a new logic creation for CSLA. In the proposed method, the carry select (CS) function is designed before the calculation of final-sum which is dissimilar from the conventional approach. Bit patterns of two expecting carry words (corresponding to cin = 0 and 1) and fixed cin bits are used for logic optimization of CS and generation units. A able CSLA design is acquired using better logic units. The proposed carry selects adder (CSLA) design occupies significantly less area and delay than the freshly proposed BEC-based carry select adder. Due to the slight carry-output delay, the proposed CSLA design is a high-quality nominee for square-root (SQRT) CSLA. A theoretical estimate shows that the proposed SQRT-CSLA occupy almost 35% less area–delay–product (ADP) than the BEC-based SQRT-CSLA, which is best between the existing SQRT-CSLA designs, for the different input bit-widths.
Copyright (c) 2022 https://creativecommons.org/licenses/by/4.0
An Intelligent Notification System Using Context from Real-Time Self Activity Monitoring System
People can now receive custom-made information through Smartphones, tablets or wearable devices. However, people often tend to miss vital information, even reminders, in the flood of notifications. The problem of finding convenient moments for need-to-know information should be investigated. Because each person’s message awareness pattern on a smart medium might be different, the necessity of personalized notification time should be emphasized. We believe that tracking changes in a user’s physical activity and other contextual factors will reveal the most convenient moments. We propose a mobile framework, smartNoti, to carefully examine the user environment. The main contributions of our framework are: 1) developing an architecture to provide crucial information in a timely manner at a recognizable moment; 2) integrating, processing, training, and storing personalized latent features from heterogeneous data streams; 3) detecting user context transitions that might provide recognizable and available moments; and 4) predicting these moment and providing a notification message. The experimental validation on Intelligent Callback Reminder, which we implemented onan android application to notify a user missed or rejected call, demonstrates that our approach is effective. W e believe that our findings can lead to intelligent strategies to issue unobtrusive notifications on today’s smart phones at noextra cost, by using sensors and contextual factors.
An Analysis of Delay and Area Efficient Carry-Select Adder
A digital adder with best area & speed is one of the major areas of study in VLSI system design. With finest area & speed, reducing the power utilization is also main area of research in VLSI system design. Our approach uses a carry select adder design for the realization of fast adder. There are various options for implementation of carry select adder. Carry select adder (CSLA) is one of the fastest adders and in many data processing processors to achieve fast arithmetic function. From the construction of the CSLA, it is clear that there is an option for reducing the area and power utilization in the CSLA. This work uses an easy and well-organized gate-level modification to considerably reduce the area and power consumption of CSLA. We compare some of these techniques with existing conventional fast adder design to verify its efficiency.
Use of Waste Engine Oil as a Rejuvenating Agent in Reclaimed Asphalt Binder to Improve Pavement Recyclability
Asphalt pavement Recycling is a common practice in Transportation sector. Waste Engine Oil as a rejuvenator has gained a lot of interest in pavement recyclability but there is still a significant lack of research in its application. Environmental, economic, and social benefits are the encouraging factors for pavement recycling. Problems such as disposal of reclaimed asphalt material from paving projects, high production cost of asphalt and transportation cost of virgin material are addressed by recycling of RAP. Recycling or Rejuvenating agents are organic materials which improve asphalt consistency by restoring the chemical structure of aged asphalt. Generally, a recycling agent is added with RAP to restore the chemical properties of aged asphalt binder. Viscosity characteristics are the determining factors in selecting the recycling agent for the aged asphalt binder. The global objective of sustainable development can be achieved by making use RAP in roadway projects. This paper intends to highlight previous research works conducted on RAP and Waste engine oil as a Recycling agent.
Mobile phones have evolved into powerful image processing devices equipped with high-resolution cameras, color displays, and hardware-accelerated graphics. This survey paper describes a novel multimodal interactive image search system on mobile devices. The system, the Joint search with ImaGe, Speech, And Word Plus (JIGSAW ), takes full advantage of the multimodal input and natural user inter-actions of mobile devices. It is designed for users who already have pictures in their minds but have no precise descriptions or names to address them. By describing it using speech and then refining the recognized query by interactively composing a visual query using exemplary images, the user can easily find the desired images through a few natural multimodal interactions with his/her mobile device.
Use of Six Sigma methodology for Road construction work
Six Sigma was developed in 1980’s in manufacturing industry & became popular as process improvement method. Although Six Sigma has been implemented in the manufacturing & other services industries, it is still relatively a new concept in the road construction industry. This paper includes the detailed methodology of Six Sigma. The market survey about need of process improvement is done particularly to know concepts of quality, cost, productivity, productivity time, customer satisfaction and use of Six Sigma within road construction industries and a case study on how Six Sigma can be implemented on construction work of a public building to minimize defects and thereby to improve quality of work. Particularly Six Sigma can provide a broader quality concept, detailed performance measurement, coordinated & repeatable performance improvement. Six Sigma is discussable within construction context due to differences of manufacturing & construction industry. Taking everything in consideration, it is obvious that Six Sigma has a lot in order to accelerate fundamental & cultural challenges construction industry needs.
Implementation of Reliable Routing in Wireless networks
Opportunistic networks are one of the most increasing evolutions of MANETs. In opportunistic networks the existence of a simultaneous path is not assumed to transmit a message between a source and a destination. In opportunistic networks, path connecting to the mobile nodes never exits, mobile nodes transmit messages with each other when they get opportunity to transmit. Furthermore, nodes are not supposed to possess or acquire any information about the network topology. Routes are built dynamically, while messages are route between the source and the destination, and any possible node can opportunistically be used as next intermediate node, only if it is likely to bring the message nearer to the final destination. These features make opportunistic networks a challenging and promising field of research. In this paper we describe approach for routing in opportunistic networks, rendering old traditional routing protocols unable to deliver messages between hosts. Thus, there is a need for a new technique to route through such networks. We propose composite approach which combines concepts of Epidemic Routing and Probabilistic Routing techniques together with acknowledgement approach for better delivery. Our results show that composite routing protocol is able to provide better message delivery probability and less message delay.
RCC Structure with and without Shear Wall: A Study
Presently days tall buildings are furnished with shear walls to enhance the parallel load protection. In the present paper we are examine the answer for shear wall area and sort of shear wall in seismic inclined zones. The viability of RCC shear wall building is considered with help of four distinct models. Model one is exposed edge framework and staying three composes are diverse shear wall buildings. A seismic tremor stack is connected to 8 story building situated in various zones. The execution of building is assessed regarding horizontal relocations of every story. The analysis is finished by utilizing basic finite element analysis (SAP2000) programming.
A Study on Buying Behaviour Towards Ready to Cook Food Among Working Women with Special Reference to Ranni Taluk
In India, the most of the consumption is still at home. But with the time, convenience food consumption is increasing due to increase in urbanization , breaking up of the traditional joint family system, desire for quality ,shortage of time, increasing number of working women ,rise in percapita income, changing lifestyles and increasing level of affluence in the middle income group had brought about changes in food habits. The high speed and type constrained lifestyle of many consumers has forced to the rise of the convenience food industry and its significant influence on society’s food consumption behaviours. Consequently the food industry in India will face a rising demand for ready to cook food products. Ready to Cook foods can be defined as a food product which is beneficial to the consumer during any of the meal preparation and consumption stages: planning, storing, preparation, eating and disposal/tidy –up. This means a product which can be easily obtained, prepared, stored, served, or eaten, thus proving to be convenient by saving time, physical energy and mental energy.
Experimental investigation of lobe journal bearing with different grade oil
A journal bearing consist of a shaft (or journal) which rotates freely in a supporting metal sleeve or shell and has no rolling elements. Shell type journal bearings support radial loading only, therefore construction and design is simple whereas understanding of theory and operation may be complex. Its extensive applications are in the field of turbo machinery components such as pumps, compressors and gas turbines as well as in automobile suspension system (transmission and suspension system). The performance of journal bearing depends on pressure distribution, load carrying capacity, frictional force, and speed, viscosity of oil etc. In this thesis, an attempt has been made to present three different commercial lubricant oils such as SAE10W30,SAE 15W40 and SAE 20W40 and their role in determining condition of lubrication (hydrodynamic or hydrostatic), type of pressure distribution and the stresses developed in the bearing under varying loads and speeds. The maximum pressure and Change of viscosity (before and after test) were determined and compared. The maximum stress developed at maximum pressure was 2040 KPa. It is also noticed that, there is an increase in pressure from 0 Kpa to 800 Kpa and then decreases to minimum for remaining rotation of bearing. This clearly indicates the presence of hydrodynamic lubrication in the journal bearing and good to use at higher speeds. It has been found that SAE10W30 bears more load than SAE 15W40 and SAE20W40. Viscosity change shows that temperature has no or little effect. Results prove that an alternate and cheaper lubricant SAE graded oils can be used for improving performance of journal bearing.
A Review on Performance Improvement of Vortex Tube
Now-a-days, the first and foremost important quality of any research or development is its eco-friendly nature. As we know environment safety has become an important aspect of the industries and people in common. Vortex tube is also known as non-conventional cooling device that will produce cold air and hot air when we passed compressed air from compressor without causing any harm to the nature. In vortex tube, when a compressed air from compressor is tangentially passed into vortex chamber vortex tube splits the compressed air into two parts: a free vortex as the peripheral warm stream at the conical valve end and a forced vortex as the inner cold stream through the orifice. It can be used for any type of spot cooling application. [1]
Energy consumption all over the world is increasing rapidly and we need to develop ways to conserve energy for future requirement. For our comfort conditions generally we use an air conditioner, it uses a vapour compression refrigeration system. This refrigeration system consumes very large amount of power (about 1.5 KW), also the cost of this system is high. So the other option for maintaining comfort is evaporative cooler. The cost of evaporative cooler is less than that of AC; also it consumes less power than AC. The main drawback of evaporative cooler is that the air supplied by the cooler contains the large amount of humidity. Due to which when an individual sits in the air of the cooler, he/she feels stickiness on the body which is not comfortable for him/her. This project work involves the manufacturing and design of split cooling unit which will cool air but not increase its humidity. It will maintain the room at comfort conditions by recirculating the air in the room through split unit.
Copyright (c) 2021 https://creativecommons.org/licenses/by/4.0
An Overview on Power Quality Problems by Using D-STATCOM
Voltage sag and harmonics are frequently occurred problems related while, non linear loads are be placed. This effects the critical loads connected at same line of common coupling of the distribution line. Here this paper presents an overview to overcome the power quality issues and analysis of different harmonics and sag disturbing the distribution line by FACTS devices known as Distribution Static Compensator (D-STATCOM) . The control method of Unit Template Algorithm for reference current generation is proposed in this paper. The modle of distribution line and D-STATCOM are implemented by MATLAB-SIMULINK software.
Paradigm Shift in the Role of Independent Directors in Indian Public Sector Undertakings using Data Mining Method
The objective of this paper is to identify the relationship between Independent Directors and Public Sector Undertakings (PSU) financial performance by data mining method. We have taken the dependent variables, Altman Z-Score ratio to measure the Indian Public Sector Undertakings (PSU) financial performance. The independent variable is response of Independent Directors of Public Sector Undertaking (PSU) through our questionnaire. We used Pearson and Spearmen correlation to find the relationship between the two variables. We found that there is a ‘weak correlation’ among the variables, before the amendment of Companies Act, 2013 and “strong correlation” after the amendment of Companies Act, 2013. So we can say that there exists a paradigm shift in the role of Independent Directors post the legislative changes.
The term “MDV” refers to a class of technologies that uses magnetic levitation to propel vehicles with magnets. Today the world is encountering one of the most serious scarcity of fossil fuels. Due to the increasing gasoline price and pollution from the exhaust of IC engines, so there is a necessity of any kind of alternate. This brought us towards the technology of using Magnet as a substitute for driving the vehicle in this rapidly developing automobile field. This project aims at developing a highly cost-effective and eco-friendly Magnet. Driven Vehicle (MDV) which is reliable and economical in the current scenario. The Vehicle work on the principle of MAGLEV (Magnetic levitation).Through this principle we levitate the driven shaft of our vehicle. Once the driven shaft is lifted we provide the torque to the driven shaft with the help of battery (by induced EMF) through this the driven shaft starts to rotate & required RPM can be achieved by induced EMF.For successful levitation and control of all 6 axes (degrees of freedom; 3 translational and 3 rotational) a combination of permanent magnets and electromagnets or superconductors as well as attractive and repulsive fields can be used. The primary ones used in maglev trains are servo-stabilized electromagnetic suspension (EMS), electrodynamics suspension (EDS).If two magnets are mechanically constrained along a single axis, for example, and arranged to repel each other strongly, this will act to levitate one of the magnets above the other. Another geometry is where the magnets are attracted, but constrained from touching by a tensile member, such as a string or cable. If one moves a base made of a very good electrical conductor such as copper, aluminium or silver close to a magnet, an (eddy) current will be induced in the conductor that will oppose the changes in the field and create an opposite field that will repel the magnet (Lenz's law). At a sufficiently high rate of movement, a suspended magnet will levitate on the metal, or vice versa with suspended metal.
An Empirical Study on Online Grocery Shopping Intentions of Consumers in Surat City
Online grocery shopping is a new means of buying preferred grocery products over the Internet for household consumption. The phenomenon has already picked up momentum in the developed countries and an increasing number of urban and sub-urban consumers are utilizing it for their benefit and convenience. The markets in India have also started responding positively to this phenomenon. Slowly but steadily, in almost a decade every Indian metropolitan city has embraced this technology and is now gradually spreading to tier-II and tier-III cities. In the state of Gujarat, the online grocery business practically took off in the year 2012. In cities like Surat, there have been quite a few upcoming companies in this segment at the local level viz. Grabvia.com, Mycitycart.com and Homebethe.com and few others. A few national level players have also entered this city for selling groceries online. This paper attempts to present a study conducted on determining the shopping intentions of consumers towards online grocery products in the city of Surat, Gujarat.
An Overview of Delay-Area Efficient Carry-Select Adder
An adder with superb area & speed is one of the most main areas of study in VLSI system design. With finest area & speed, reducing the power consumption is also main area of research in VLSI system design. Here we use a carry select adder design for the realization of fast adder. There are several choices for design of carry select adder. Carry select adder (CSLA) is one of the fastest adders and used in many data processing processors to achieve fast arithmetic function. From the construction of the CSLA, we come to know that there is an choice for reducing the area and power consumption in the CSLA. This work uses an easy and planned gate-level adjustment to considerably reduce the area and power consumption of CSLA. We compare some of these techniques with existing conventional fast adder design to verify its efficiency.
Comparative Analysis of Two Wheeler Suspension Helical Compression Spring for Conventional and Composite Material at Different Loading Condition
Presently the automobile manufacturers are facing challenges of improvements in the quality and performance of the components together with the reduction in weight and cost of manufacturing. Efforts are directed towards the use of alternative materials in design which results in increase of strength to weight ratio. The use of composite materials is increasing in the design of automobile components due to their light weight and costs. The present work attempts to study the feasibility of select composite materials in the design of helical compression spring used in automobile suspension systems. The design of helical compression spring is first analyzed for the conventional steel material and then compared with that of for the composites used as spring materials study their behaviors at the different loading conditions. Composite materials considered for the analysis are Eglasss/Epoxy and Carbon/Epoxy. The modeling of the helical spring has been done using software and simulation were performed using ANSYS to predict the stresses, deflections at the stated loads. It was found that the stresses developed in conventional steel helical compression spring is more as compared to the stresses developed in composite material helical compression spring. Also the deflection is observed to be higher for composite materials. The results indicate that composite materials are feasible option at normal loading conditions which will also reduce the manufacturing and maintenance costs