Basaveshwar Engineering College
Bagalkot, India

Basaveshwara Engineering College is a private co-educational engineering college located in Bagalkot, Karnataka, India. It was established in 1963 and is affiliated to Visvesvaraya Technological University, Belgaum. It was granted academic autonomy in August 2007. Wikipedia.

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Khadiranaikar R.B.,Basaveshwar Engineering College | Awati M.M.,Basaveshwar Engineering College
Journal of Structural Engineering (United States) | Year: 2012

Most of the existing codes are using stress-block parameters which were derived for normal strength concrete. Several researchers in the past have reported that use of ACI 318 stress-block parameters results in un-conservative design of reinforced concrete members for high-performance concrete (HPC). Recent revision of Indian Standard Code IS 456 for design of reinforced members does not include the provisions for strength of concrete beyond 55 MPa. Present research aims at developing the stress-block parameters for wide range of concrete strength between 40-120 MPa. The experimental program includes testing of plain concrete columns, reinforced concrete members such as eccentrically loaded columns, and beams in pure flexure. Moment interaction curves are developed for the column data of the present and previous research. An error analysis is incorporated to prove the consistent conservativeness obtained by the use of the proposed stress-block parameters. © 2012 American Society of Civil Engineers.

Angadi S.A.,Center for Post Graduate Studies | Kagawade V.C.,Basaveshwar Engineering College
Pattern Recognition | Year: 2017

Face recognition is a challenging and one of the most active area of research in computer vision. Variations in face image due to change in illumination, expression and presence of occlusions along with aging present many challenges to face recognition system. In this paper a new approach to robust face recognition using Polar FFT features modeled as symbolic data is proposed. Initially the face segment is cropped from the image using Viola-Jones algorithm and is converted into gray scale image of size 120 × 120 pixels. 2D-DFT is performed on pre-processed image. The dominant magnitude of 2D-DFT coefficients are computed using polar fourier transform technique and are represented as 1D P-FFT. The magnitude that represents maximum value in 1D P-FFT is considered as a feature value. The extracted feature value is used to construct a symbolic object to represent a face image. Further, a new symbolic similarity measure is devised and employed for assigning test symbolic object to a face class. The performance of the proposed method is evaluated with AR database and an average accuracy of 96.25% is achieved. 100% and 97% verification rate is achieved on the ORL and LFW face databases respectively. The various experiments conducted on AR, ORL and LFW databases using the proposed symbolic data modeling approach shows that this method has a very high degree of recognition and is better compared to some of the recently reported face recognition techniques. © 2017 Elsevier Ltd

Vinodh S.,National Institute of Technology Tiruchirappalli | Gopinath Rathod,Basaveshwar Engineering College
Clean Technologies and Environmental Policy | Year: 2011

Environmental consciousness is regarded as a vital concept for survival in the competitive market scenario. The need for infusing environmental consciousness during early stage of product design is important. This article reports a study which is focused on the application of Environmentally Conscious Quality Function Deployment (ECQFD) to an electric vehicle. ECQFD consists of four phases. ECQFD phases I and II are concerned with the identification important parts of electric vehicle that are vital for improving the environmental consciousness. ECQFD phases III and IV are used to analyze which design changes among the formulated design options of electric vehicle are most effective with regard to environmental improvement. The study results indicate that it could be applied in early product design and development stages for ensuring sustainability. © 2010 Springer-Verlag.

Characterization of honne oil, un-tapped vegetable oil as substitute for diesel fuel, and its blends (H10 (10% honne oil + 90% diesel fuel by volume)-H90) with diesel fuel can help the researchers who work on alternative fuel for diesel engines. Properties of honne oil and its blends such as kinematic viscosity, density, cold flow properties, carbon residue, heating value, ash content, distillation temperature, cetane number and flash point were determined experimentally as per the Bureau of Indian Standard procedures. Fuel related properties of honne oil such as acid, saponification and iodine value were determined experimentally. Most of the properties of H10-H50 are within the limit set by ASTM 6571-08 standards. Hence, it is concluded that the H10-H50 is a renewable energy source and a promising fuel substitute which could be used in the diesel engine for short term application to bring down the consumption of the neat diesel fuel. © 2013 Elsevier Ltd. All rights reserved.

Venkanna B.K.,Basaveshwar Engineering College | Venkataramana Reddy C.,Guru Nanak Institute of Technology
International Journal of Energy Research | Year: 2012

Honne oil methyl ester (HOME) is produced from a nonedible vegetable oil, namely, honne oil, available abundantly in India. It has remained as an untapped new possible source of alternative fuel that can be used for diesel engines. The present research is aimed at investigating experimentally the performance, exhaust emission, and combustion characteristics of a direct injection diesel engine (single cylinder, water cooled) typically used in agricultural sector over the entire load range when fuelled with HOME and diesel fuel blends, HM20 (20% HOME+80% diesel fuel)-HM100. The properties of these blends are found to be comparable with diesel fuel conforming to the American and European standards. The combustion parameters of HM20 are found to be slightly better than neat diesel (ND). For other blend ratios, these combustion parameters deviated compared with ND. The performance (brake thermal efficiency (BTE), brake-specific fuel consumption, and exhaust gas temperature) of HM20 is better than ND. For other blend ratios, BTE is inferior compared with ND. The emissions (CO and SO) of HM20-HM100, throughout the entire load range, are dropped significantly compared with ND. Unburned hydrocarbon emissions of HM20-HM40, throughout the entire load range, is slightly decreased, whereas for other blend ratios, it is increased compared with ND. NO x emissions of HM20, throughout the entire load range, is slightly increased, whereas for other blend ratios, it is slightly decreased. The reductions in exhaust emissions together with increase in BTE made the blend HM20 a suitable alternative fuel for diesel fuel and thus could help in controlling air pollution. © 2011 John Wiley & Sons, Ltd.

Kakkasageri M.S.,Basaveshwar Engineering College | Manvi S.S.,Reva Institute of Technology and Management
Journal of Network and Computer Applications | Year: 2014

Vehicular Ad Hoc Network (VANET) is a highly mobile self-organizing network based on Vehicle-to-Vehicle (V2V), Vehicle-to-Infrastructure (V2I) and hybrid architecture. Recently VANETs have gained a lot of attention by industry and academia due to wide range of applications including safety, convenience, commerce, entertainment and infotainment. Information management requires technologies and techniques for communication, fault tolerance, storage, coding, multi-modal interactions, gathering, aggregation, validation, dissemination, etc. In VANETs, information can be classified into safety and non-safety information. Driver or vehicle safety information is required in applications offering intelligent transport services like identification of road bends, traffic congestion, accident spots, collision warning, environmental conditions, approaching vehicles, etc. The major concerns in safety applications are reliability, security, trust, real time delivery, and latency. This paper brings out current research efforts on information management techniques employed for safety related applications in VANETs, which includes gathering, aggregation, validation and dissemination, and also provide directions for future research and development. © 2013 Elsevier Ltd. All rights reserved.

Kakkasageri M.S.,Basaveshwar Engineering College | Manvi S.S.,Reva Institute of Technology and Management
Journal of Network and Computer Applications | Year: 2012

Cluster formation in vehicular ad hoc networks (VANETs) is a challenging problem due to rapidly changing network topology and frequent network disconnections of vehicles. Dynamic clustering is a technique to form grouping of vehicles on the fly. We propose a multiagent driven dynamic clustering scheme for VANETS on a lane between two intersections by considering vehicle speed, direction, connectivity degree to other vehicles and mobility pattern. The scheme comprises of heavy-weight static and light-weight mobile agents. Initially, cluster members are identified based on vehicles relative speed and direction for dynamic clustering. Cluster head is selected among the cluster members based on stability metric derived from connectivity degree, average speed and time to leave the road intersection. Cluster head predicts future association of cluster members based on mobility patterns. The announcement of cluster mobility pattern to all cluster members is made by cluster head. The cluster members with similar mobility pattern can reconnect with cluster head after passing an intersection of the lane. We have evaluated the performance and effectiveness of proposed scheme by comparing with an existing clustering scheme. It is observed that proposed scheme performs better than existing stable clustering scheme in terms of cluster formation time, cluster member selection time, cluster head selection time and control overheads. © 2012 Elsevier Ltd. All rights reserved.

Budyal V.R.,Basaveshwar Engineering College | Manvi S.S.,Reva Institute of Technology and Management
Journal of Network and Computer Applications | Year: 2014

Anycast is a point to point flow of packets for obtaining services or sending data to one of a multitude of destinations that share one address. To meet needs of real time and multimedia applications, anycast routing in Mobile Ad hoc Networks (MANETs) must provide faster service with better Quality of Service (QoS). This paper proposes an Adaptive Neuro-Fuzzy Inference System (ANFIS) based multiple QoS constrained anycast routing in MANETs by using a set of static and mobile agents. Three types of agents are used in the scheme: static anycast manager agent, static optimization agent, and mobile anycast route creation agent. The scheme operates in the following steps. (1) Optimization agent at the client optimizes membership functions for bandwidth, link delay and packet loss rate to develop Fuzzy Inference System (FIS) by using ANFIS. (2) Anycast route creation agents are employed by the client to explore multiple paths from source (client) to all anycast members (servers) through intermediate nodes. These agents gather intermediate node's information such as available bandwidth, link delay, residual battery power, and stability of anycast servers. The information is passed on to the client. (3) Anycast manager agent at the client performs finding QoS factor by using optimized FIS for every path, and selects QoS anycast path based on QoS and server stability factor, and (4) Anycast route creation agent is also employed for maintaining the QoS path in the event of node/link failures. The simulation results demonstrate reduction in end-to-end delay and control overhead, improvement in packet delivery ratio and path success ratio, as compared to shortcut tree based anycast routing (SATR) in MANETs. © 2013 Elsevier Ltd.

Budyal V.R.,Basaveshwar Engineering College | Manvi S.S.,Reva Institute of Technology and Management
International Journal of Multimedia and Ubiquitous Engineering | Year: 2013

Quality of Service (QoS) support in Mobile Ad hoc NETworks (MANETs) is a challenging task due to bandwidth and delay constraints, varying channel conditions, power limitations, node mobility and dynamic topology. This paper proposes an intelligent agent based on-demand (source initiated) delay aware QoS routing scheme in MANETs by using software agents that employ neuro-fuzzy logic supported by Q-learning. The proposed scheme operates in following steps. (1) Source node uses an agent that uses Dynamic Source Routing (DSR) to find various paths, their bandwidth and packet loss rate to reach a destination. (2) Parallely, a static neuro-fuzzy agent at the source node is used to optimize membership functions of fuzzy parameters according to user delay requirement of the fuzzy inference system (FIS); also, a fuzzy Q-learning static agent at the source node is employed to optimize the consequent part of if-then rules of FIS. (3) Fuzzy static agent at the source node decides whether node on a path satisfies delay requirement for an application according to the user by considering fuzzy parameters, bandwidth, packet loss rate and delay. (4) A path with QoS satisfied nodes will be selected by fuzzy QoS static agent and (5) mobile agents are used to maintain and repair the path. The scheme has been simulated in various network scenarios to test operation effectiveness and observed that proposed scheme performs better than the existing fuzzy based DSR routing methods.

Belagur V.K.,Basaveshwar Engineering College | Chitimini V.R.,Guru Nanak Institute of Technology
Thermal Science | Year: 2010

The present work examines the use of a non-edible vegetable oil namely honne oil, a new possible source of alternative fuel for diesel engine. Highly viscous honne oil can be reduced by blending it with diesel fuel. A direct injection diesel engine typically used in agricultural sector was operated on neat diesel and a blend of 50% honne oil with 50% diesel fuel (H50). Injector opening pressure was changed to study the performance, emission and combustion characteristics. It was observed that increasing the injector opening pressure with H50 from the rated injector opening pressure (200 bar) increased the brake thermal efficiency and reduced CO, HC, and smoke opacity emissions. However, NOx emission was increased. With H50, ignition delay decreased as injector opening pressure increased. Improved premixed heat release rate were observed with H50 when the injector opening pressure was advanced. The best injector opening pressure was 240 bar for H50 based on brake thermal efficiency and emissions.

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