A Performance Analysis and Design of Skewed Intersection at Vivekanand Tiraha (Vidisha) : A Case Study

ABSTRACT:The increasing traffic volume at Vivekananda Tiraha has increased many problems like congestion ,increasing conflict points, roadside parking hindering traffic movement, oversized vehicles , etc. In order to solve these problems in an efficient and appropriate manner a traffic management system should be designed at the intersection. A performance study of skewed intersections at Vivekananda Tiraha is done to regulate the flow of traffic in a channelized manner. To solve this either a Rotary for a traffic signal can be designed at an intersection.Rotary requires bulging of the weaving area to provide yielding of vehicles coming from Vidisha. It also requires widening of approach from Bhopal end in order to counter problem of skewness, as vehicles coming from Bhopal are not able to see the complete weaving area and tends to move straightwards towards Vidisha.Widening also required for construction of splitter island on undivided Bhopal leg. Thus rotary of proper dimension cannot be constructed due to lack of space at the junction .Thus the best choice we have is installation of a traffic signal with proper markings at each approach .For achieving this objective PCU count has been worked out using traffic control room cameras installed at the intersection. Keywords: Skewed Intersection,Widening,Roadside parking , Conflict Point

Energy Aware Routing using AODV Protocol for Low Energy Consumption in WSN

Wireless Sensor Network (WSN) is a self-configured and infrastructure-less network that is used to monitor the environmental conditions and transfer sensor data to the desired destination in a particular region. Energy consumption is the most important concern in WSN, which is considered as an active research area. Routing selection is one method that is used to optimize energy in WSN. There are many protocols for discovering a route between two nodes. However the performance of the Ad hoc On-Demand Distance Vector Protocol (AODV) routing protocol is a more suitable one. It is a generic reactive protocol for routing mostly used in MANET (Mobile Ad Hoc Networks) and WSNs (Wireless Sensor Networks). This protocol supports unicasting and multicasting and will also identify the shortest path. The aim of this paper is discuses about energy-aware routing,  is implemented in the AODV protocol which is derived from nodes remaining energy. The remaining energy of node is computed by Max-Min energy algorithm in order to extend the network's life span and facilitates to keep the network lively. The performance of AODV is compared with Modified AODV protocols. The comparison is done by various performance metrics such as PDR (Packet Delivery Ratio), throughput, delay time, loss rate, and energy consumption. Analysis on the experimental results showed that MAODV protocol gives better results than traditional AODV protocol and it is also inferred that MAODV avoids too much energy consumption of nodes in the network

COVID Infection Detection using Machine Learning Approach

Medical imaging serves a significant role in medical diagnosis therapy. Also plays a role in medical applications. The motivation of this work to research the most difficult topic in medical image processing nowadays is locating an ROI (Region of Interest) that can be retrieved automatically or semi-automatically. The goal of the suggested concept is to facilitate a step-up in the preprocessing of radiology pictures to locate regions of interest (ROI) in diagnosing respiratory illness using Machine Learning approaches. In addition, the generalizability of the methods is challenged when a single dataset is used. Different datasets often include images of differing quality, which may originate from various machine kinds and represent the circumstances of the nations and locations from where they originate. In this study, we proposed RDD_ROI (Respiratory Disease Detection_Region Of Interest) algorithm using a GLCM features unsupervised K-means clustering technique to identify region of interest in the detection of respiratory disease like COVID, Pneumonia etc.Two large COVID-19 datasets (X-ray CT scan image analysis with a patient) are used to evaluate the method. The analysis of images has been done based on seven different GLCM features like homogeneity, correlation, dissimilarity, contrast, entropy, energy. The results of features found that energy and correlation achieved 100%. These findings emphasized the importance of techniques designed to improve picture quality during COVID-19 identification in both image datasets, which would ultimately aid in the classification detection of respiratory disease COVID based on analysis of the disease effect

Design And Analysis Of Hanger Irrigation System

This study aimed to evaluate the effectiveness of a newly designed hanger irrigation system in providing consistent water supply for agriculture. Irrigation is a vital component of agriculture, and efforts have been made to increase the irrigated area through surface irrigation projects and groundwater resources. Agriculture plays a critical role in India's economic development, as around 70% of the population relies on it for their livelihoods and essential needs. However, the growing population has led to water scarcity, which poses a significant challenge to the farming sector. Therefore, there is a need to discover alternative irrigation systems that are durable and affordable. To minimize labor costs and ensure uniform water usage, the hanger irrigation system was designed using SolidWorks software, and Finite Element Analysis was employed to enhance vibrational sustainability and reduce deformation in the model. The structure was built using structural steel and bamboo fiber as materials, and vibration analysis was conducted with the ANSYS 19 software to ensure stability. Static analysis was also performed using different materials to improve the system's load-bearing capacity, and cost comparisons were made between bamboo and steel models. The results of the modal and static analyses of different materials were discussed to arrive at a conclusion.Overall, the study highlights the importance of effective water management during irrigation to achieve maximum crop productivity and meet the country's food production goals. The hanger irrigation system has the potential to provide a consistent water supply while minimizing labor costs, making it a viable alternative irrigation system for agriculture

Novel Approach to Multi-Modal Image Fusion Using Modified Convolutional Layers

Multimodal image fusion is an important area of research with various applications in computer vision In this paper, we propose modifications to convolutional layers for fusing two different modalities of images. We introduce a novel architecture that uses adaptive fusion mechanisms to learn the optimal weightage of different modalities at each convolutional layer. Our proposed method is evaluated on a publicly available dataset, and experimental results show that it outperforms state-of-the-art methods in terms of various evaluation metrics

Editorial

Editoria

Application of UAV based high-resolution remote sensing for crop monitoring

Advances in technologies could offer enormous potential for crop monitoring applications, allowing the real-time acquisition of various environmental data. Technology such as high spatio-temporal imagery of unmanned aerial vehicles (UAV’s) can be widely used in crop monitoring applications. These technologies are expected to revolutionize the global agriculture practices, by enabling decision-making during the crop cycle days. Such results allow the effective practice of agricultural inputs, aiding precision agriculture pillars, i.e., applying the right practice in the right place, with the right amount and time. However, the actual exploitation of UAV’s has not been much strong in smart farming, mainly due to the challenges faced during selecting and deploying relevant technologies, including data acquisition and processing methods. The major problem is that there is still no consistent workflow for the use of UAV’s in such areas, as this mechanization is relatively new. In this article, the latest applications of UAV’s for crop monitoring are reviewed. It covers the most common applications, the types of UAV’s used and then we focused on data acquisition methods and technologies, employing the benefit and drawbacks of each. It also indicates the most popular image processing methods and summarizes the potential application in agricultural operations. 

Modeling of solar assisted air purifier for room air conditioning

The main aim of the paper is to purify ambient air in the month of January and May in Guwahati city for an office room of 40 m3 with 6 persons and 5 LED(light emitting diode) bulbs of 9W each throughout the day. In January ambient air is purified and brought to reference state of 40% relative humidity, 24oC by using an air purifier, air blower, and vapour compression refrigeration system using 134a as refrigerant. Similarly in May ambient air is purified and brought to reference state of 50% relative humidity, 18oC by using an air purifier, air blower, and vapour compression refrigeration system using 134a as refrigerant. The power required for operating the blower, 5 LED bulbs and vapour compression refrigeration compressor are obtained from 9 solar photovoltaic modules in parallel, 2 in series of model SW 280 assisted by 219.536 Ah capacity rechargeable battery

Performance Optimization for Distributed Database Based on Cache Investment

As technology plays important role in every aspect of life especially in the industrial field, a vast amount of data is generated for controlling and monitoring tools and to help in system development. That results in an increased size of data, which affects the speed and performance of applications/programs. Here a design strategy is proposed to show how to improve both the speed and performance of computer applications by improving the performance of database queries. Key factors that determine computer performance (speed and performance of the processor) are the processor speed, the size of RAM, and the cache memory strategy for the processor. In this paper, we are introducing a solution that is proven to be a tool to increase the performance of queries. It will help to enhance the performance of database queries responsiveness irrespective of the database size. The proposed policy is built-up on the caching concepts i.e. cache investment. Cache investment is a method to combine query optimization and data placement. This work on the concept of investment looks beyond the performance of a single query and helps in achieving a better hit ratio in a long term for large database systems. This paper, discuss and explain the design, architecture and working of the proposed policy. The results show how this proposed policy helps in improving the performance of the database, especially relevant for today’s “big data” environment

Indian Millennials Attitude towards Cryptocurrencies

Cryptocurrency has emerged as a major turning point for the financial industry and seen as a significant fintech revolution. The cryptocurrency market is extremely volatile and the regulation of cryptocurrency differs from region to region, which makes it a challenging area not just for practitioners but also for academicians. The present study makes an attempt to understand the attitude of Indian millennials towards cryptocurrency. the study is based on the theoretical framework of Technology Acceptance Model (TAM) and uses a sample of 120 respondents to examine the impact of factors, namely, perceived ease of use, perceived risk, personal innovativeness, and social influence. This study indicates that personal innovativeness, the perceived ease of using the technology, and social influence has a significant positive influence on the attitude towards cryptocurrency. Perceived risk was found to have a negative but significant impact on attitude towards cryptocurrency. Personal innovativeness emerged as the most important factor having a positive influence on attitude which was followed by social influence and perceived ease of use. The results of the study has important theoretical as well practical implications which are discussed at the end of the paper.  Keywords: cryptocurrency, millennials, TAM, Indi