Informatics Publishing Limited

D. A. Ingole ¹, V. Y. Deotale ¹, R. O. Deotale ¹, J. Ramkumar ¹

Affiliations
1 Entomology Section, College of Agriculture, Nagpur, 440 001, Maharashtra, IN

Abstract

Mallada boninensis (Okamoto) eggs and first instar larvae were released thrice against Ateurocanthus woglumi Ashby at an interval of 15 days. Cumulative per cent reduction in the population of A. woglumi at the end of third release was recorded and the comparison was made between the treatments. The highest cumulative per cent reduction of 70.24 was recorded in malathion sprayed trees. Amongst various dosages/stages of M. boninensis, release of eggs @ 6 and 4 number/shoot recorded 36.72 and 34.65 per cent cumulative reduction in A. woglumi population and was found to be more effective than other dosages.

Keywords

Ateurocanthus woglumi, Field Releases, Mallada boninensis.

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J. Ramkumar ¹

Affiliations
1 Anna University of Technology, Coimbatore, Tamilnadu, IN

Abstract

E-services provides several applications and useful to the user, while using the web. Web is mainly a strongly connected environment and providers who provide the e-services must satisfy the user needs. When the user gives their instructions and executes the e-service, while the provider hides the complexity of the services to execute. Providers enrich the e-services by adapting multichannel provisioning (MIAS framework) and providers provide user to executing multi adaptive e-services with respect to orchestration. MIAS framework makes easy for the user to get the information.

In this paper, Kleinberg’s HITS Algorithm is used in multichannel adaptive framework to rank the Web Pages, fetch the information accurately for the users and measure the performance.

Keywords

Multi-Channel Adaptive Information Systems, Electronic Services, Kleinberg’s Hyperlink-Induced Topic Search (HITS) Algorithm.

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J. Ramkumar ¹

Affiliations
1 Computer Science and Engineering, Anna University of Technology, Coimbatore, Tamilnadu, IN

Abstract

In the business process, Work Flow foundation supports windows environment and control the order in which the pages shown. Then the individual Web pages services are integrated using Work Flow and invoke those services, knitting them together into a composite application. Based on role provisioning, the employees are allowed inside the organization and services are initiated. We used two protocols (Aggregate Zero Knowledge Proof Knowledge and Oblivious Commitment Protocols) to choose an appropriate person to a particular role. Enforcement point act as server to provide services to work and provide security based on Cryptographic algorithm and other xml language (authentication access).
In this approach, alternate BPEL process is Workflow Foundation with RSA algorithm with 1024 bits is used. XACML is used to provide and strengthened the security level of the business organization. These changes provide flexibility and services in less expensive manner.

Keywords

Aggregate Zero Knowledge Proof Knowledge, Oblivious Commitment Based Envelope, Extensible Access Control Markup Language.

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J. Ramkumar ¹

Affiliations
1 M.E. Department of Computer Science and Engineering, Anna University of Technology, Coimbatore, IN

Abstract

In WS-BPEL process, Extensible Access Control Markup Language (XACML) is used as an authenticated tool to provide several services for an employee in an organization. There are several policies (XACML) used as an access control in Web Services. XACML policy as RBAC profile to support role based access controls policies. In an organization, there are several roles assigned to an employee based on their attributes. The attributes are used as an authenticating tool to assign the role and perform the task. The identity attributes are used for role provisioning policies to a particular employee i.e. social security number, date of birth, etc. are assigned as an identity attributes. In this aggregate zero knowledge proof knowledge (AgZKPK) and Oblivious commitment based envelope (OCBE) protocols are used during service (information) sharing between employees and to make it more flexible. This process may provide privacy to the user information and support multi-domain environment.

Keywords

Aggregate Zero Knowledge Proof Knowledge, Pederson Commitment, Role Based Access Control, Security.

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J. Ramkumar ¹, R. Vadivel ²

Affiliations
1 Department of Computer Science, VLB Janakiammal College of Arts and Science, Coimbatore, Tamil Nadu, IN
2 Department of Information Technology, Bharathiar University, Coimbatore, Tamil Nadu, IN

Abstract

Fifth Generation (5G) technology has started providing the brand new facilities to the mobile communication world. With its enhanced performance and scalability, it has attracted many domains. Routing overhead in 5G networks is increased rapidly because of the complexity present in the route discovery process, where optimization in routing. Poor routing becomes a sophisticated and dynamic challenge in the 5G network. Hence, there exists a need for finding the best route in an optimized manner. This paper proposes an Improved Wolf Prey Inspired Protocol (IWPIP) for finding the ideal route in the dynamic environment like 5G based cognitive radio ad-hoc network. IWPIP focuses on finding the ideal route based on the reliability of route, shorter distance, and shorter hops that minimize the consumption of energy to increase the network lifetime. Before sending the data packets, routes are evaluated using a fitness function. IWPIP's efficiency has been demonstrated through comprehensive simulation, which resulted in promising outcomes in terms of throughput, packet delivery and drop ratio, delay, and energy consumption.

Keywords

Optimization, Routing, Bio-Inspired, Energy, Delay, Cognitive Radio Ad Hoc Networks, Wolf Prey Inspired Protocol.

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M. Lingaraj ¹, T. N. Sugumar ², C. Stanly Felix ², J. Ramkumar ³

Affiliations
1 Department of Computer Science, Sankara College of Science and Commerce, Coimbatore, Tamil Nadu, IN
2 Department of Computing, Coimbatore Institute of Technology, Coimbatore, Tamil Nadu, IN
3 Department of Computer Science, VLB Janakiammal College of Arts and Science, Coimbatore, Tamil Nadu, IN

Abstract

Mobility Enabled Wireless Sensor Network (MEWSN) plays a significant role in different fields including environmental control, traffic control and healthcare. The performance of MEWSN is dependent not only on sensing but also on routing. Multiple research works are carried out by different researchers in the domain of routing in MEWSN, but still the performance of MEWSN gets lacked. Poor routing is the ischolar_main cause for the performance degradation of MEWSN. In this paper, a new routing protocol namely Query Aware Routing Protocol (QARP) is proposed to balance the load in MEWSN to prevent congestion and exhausted power utilization. Normal routing protocols either seek to match load or route, but both are considered in QARP. Also, identified routes are classified based on an enhanced relevant vector machine classification algorithm which assists in minimizing the delay and energy consumption. Using NS2, QARP is evaluated against previous routing protocols with standard performance metrics namely throughput, delay, packet delivery ratio and energy consumption. The packet delivery ratio achieved by QARP is 92.6%, where the existing routing protocols IFLIP and PARP has achieved 62.8% and 75.4% respectively.

Keywords

WSN, MEWSN, Routing, Query, Load, Congestion.

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J. Ramkumar ¹, R. Vadivel ²

Affiliations
1 Department of Computer Science, VLB Janakiammal College of Arts and Science, Coimbatore, Tamil Nadu, IN
2 Department of Information Technology, Bharathiar University, Coimbatore, Tamil Nadu, IN

Abstract

Cognitive Radio Wireless Sensor Networks (CR-WSN) works on nodes that are dependent on batteries. A critical problem with CR-WSN is a lack of energy, especially in situations such as warfare where rapid and aggressive action is needed. The battery level of nodes degrades CR-WSN performance. Researchers face significant difficulty developing a routing protocol for CR-WSN, and that obstacle is posed by energy consumption to deliver a packet. A substantial number of nodes reside in CR-WSN. Every node in CR-WSN is constrained by battery. To minimize network cost, it should be feasible to have the routing protocol used for CR-WSN to be energy efficient. This paper proposes an optimization-based routing protocol, namely Whale Optimization Routing Protocol (WORP), for identifying the best route in CR-WSN to minimize the delay and lead to network efficiency. WORP draws inspiration from the behaviors of whales as they forage, similar to their hunting activity. By prioritizing residual energy and the total energy of the nodes in the route, WORP encourages energy-aware route selection. WORP is examined via simulation with NS2 against current routing protocols. Benchmark performance metrics are used to assess the effectiveness of WORP. Results make an indication that WORP has superior performance than current routing protocols in CR-WSN.

Keywords

WSN, CR-WSN, Routing, Optimization, Delay, Energy Consumption.

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J. Ramkumar ¹, R. Vadivel ², B. Narasimhan ³

Affiliations
1 PG and Research Department of Computer Science, Dr. N.G.P. Arts and Science College, Coimbatore, Tamil Nadu, IN
2 Department of Information Technology, Bharathiar University, Coimbatore, Tamil Nadu, IN
3 Department of Computer Technology, Dr. N.G.P. Arts and Science College, Coimbatore, Tamil Nadu, IN

Abstract

Cloud Computing (CC) is the process of providing on-demand data to the user via the internet. In CC, users don't need to manage data storage and computational power actively. Finding the best route in a cloud network is entirely different from other general networks which it is due to high scalability. Protocols developed for other general networks will never suit or give better performance in cloud networks due to its scalability. This paper proposes a bio-inspired protocol for routing in a cloud network, namely Constrained Cuckoo Search Optimization-based Protocol (CCSOP). The routing strategy of CCSOP is inspired by the natural characteristics of the cuckoo bird towards finding a nest to lay its eggs. Levy Flight concept is applied with different constraints to enhance optimization performance towards finding the best route in a cloud network that minimizes energy consumption. CCSOP is evaluated in Greencloud using benchmark network performance metrics against the current routing protocols. The efficacy of CCSOP is evaluated using benchmark performance measures. CCSOP appears to outperform current cloud network routing protocols in terms of energy consumption.

Keywords

Cuckoo, Cloud, Energy, Flight, Levy, Optimization, Routing, Scalability.

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D. Jayaraj ¹, J. Ramkumar ², M. Lingaraj ³, B. Sureshkumar ⁴

Affiliations
1 Department of Computer Science and Engineering, Annamalai University, Cuddalore, Tamil Nadu, IN
2 Department of Computer Science, Dr. N.G.P. Arts and Science College, Coimbatore, Tamil Nadu, IN
3 Department of Computer Science and Applications, Sankara College of Science and Commerce, Coimbatore, Tamil Nadu, IN
4 Department of Computer and Information Science, Annamalai University, Cuddalore, Tamil Nadu, IN

Abstract

Advances in information and communication technology and electronics have led to a surge in interest in mobility-enabled wireless sensor networks (MEWSN). These minuscule sensor nodes collect data, process it, and then transmit it via a radio frequency channel to a central station or sink. Most of the time, MEWSNs are placed in hazardous or difficult-to-access locations. To increase the lifespan of a network, available resources must be utilized as efficiently as possible. The whole network connection collapses if even one node loses power, rendering the deployment's goals moot. Therefore, much MEWSN research has focused on energy efficiency, with energy-efficient routing protocols being a key component. This paper proposes an Adaptive Fish Swarm Optimization-based Routing Protocol (AFSORP) for identifying the best route in MEWSN. AFSORP functions based on the natural characteristics of fish. The two most important steps in AFSORP are chasing and blocking, which respectively seek the optimal route and choose the appropriate route to send data from the source node to the destination node. Standard network performance measurements are used to assess AFSORP with the help of the GNS3 simulator. The results show that AFSORP performs better than the existing routing methods.

Keywords

Routing, Mobility, WSN, MEWSN, Optimization, Fish, Energy.

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A. Senthilkumar ¹, J. Ramkumar ², M. Lingaraj ³, D. Jayaraj ⁴, B. Sureshkumar ⁵

Affiliations
1 Department of Computer Science, Skyline University, NG
2 Department of Computer Science, Dr. N.G.P. Arts and Science College, Tamil Nadu, IN
3 Department of Computer Science and Applications, Sankara College of Science and Commerce, Tamil Nadu, IN
4 Department of Computer Science and Engineering, Annamalai University, Tamil Nadu, IN
5 Department of Computer and Information Science, Annamalai University, Tamil Nadu, IN

Abstract

Increasing traffic issues, particularly in highly populated nations, have prompted recent interest in Vehicular Sensor Networks (VSNETs) from academics in several fields. Accident rates continue to rise, highlighting the need for a highly functional Smart Transport System (STS). Improvements to the STS should not be spread thin across the board but should concentrate on improving traffic flow, maintaining system reliability, and decreasing vehicle carbon dioxide and methane emissions. Current routing protocols for VSNETs consider various scenarios and approaches to provide safe and effective vehicle-to-infrastructure communication. The reliability of vehicle connections during data transmission has not been well explored. This paper proposes a Relentless Particle Swarm Optimization based Routing Protocol (RPSORP) for VSNET to use vehicle kinematics and mobility to identify vehicle location, send routing information packets to road-side devices, and choose the most reliable path for travel. RPSORP optimizes local and global search to minimize energy consumption in VSNET. The RPSORP is evaluated in the GNS3 simulator using Throughput, Packet Delivery, Delay, and Energy Consumption metrics. RPSORP has superior performance than state-of-the-art routing protocols.

Keywords

VSNET, Routing, Swarming, PSO, Local-Search, Global-Search.

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Ramesh Kuppuswamy ¹, Keanu Calo ¹, J. Ramkumar ²

Affiliations
1 University of Cape Town, ZA
2 Indian Institute of Technology, Kanpur, IN

Abstract

TIG Welding is being practiced in the manufacturing industry and it demands highly skilled labour. Artificial Intelligence (AI) is developing rapidly as researchers are constantly finding new ways in which intelligent machines can add value to their industry. An AI-based welding system stands to add value by increasing production rates, improving safety, and decreasing the human input required. Weld monitoring is a key activity in the TIG welding process and successful use of AI system will enable failure prediction and the proactive corrective actions. The aim of this project is to explore, test, and compare ResNet modelling based machine learning algorithms and examine their ability to monitor welds. In this project the weld monitoring process includes collecting images of weld joint for weld feature digitization. Also, the study enables predicting whether the weld shows good quality, contamination, burn through, misalignment, lack of fusion, or lack of penetration through a ResNet modelling based image analysis.

Keywords

ResNet Modelling, TIG Welding, Image Analysis, AI Based Weld System.

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Meena Pant ¹, Leeladhar Nagdeve ¹, Girija Moona ², Harish Kumar ¹, J. Ramkumar ³

Affiliations
1 National Institute of Technology Delhi, IN
2 CSIR–National Physical Laboratory, New Delhi, IN
3 Indian Institute of Technology Kanpur, Kanpur, IN

Abstract

Selective laser melting process (SLM) is a metal additive manufacturing technique with excellent design freedom and feasibility. In SLM, a high-energy source is used to melt powder particles into a pattern of successive layers. However, the major challenge associated with the SLM process is that the parts have a high surface roughness (Ra) compared to forming, machining, and rolling processes. In this paper, the core parameters, including scan speed, hatch distance, laser power, and energy density effects discussed as the roughness parameters. The experimental runs were designed based on Taguchi L9 orthogonal array. The results displayed that Ra of samples was largely affected by laser power as compared to scanning speed and hatching spacing. The Ra of samples achieved less at high energy density. In contrast to other surface finishing operations, the polished sample showed the average Ra value of 0.049 μm manufactured at an energy density of 58.83 J/mm3.

Keywords

Selective Laser Melting, Process Parameter, Energy Density, 316L SS, Surface Roughness.

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Vijay Mandal ¹, Vikas Tiwari ¹, Moloy Sarkar ¹, Sudhanshu S. Singh ¹, J. Ramkumar ¹

Affiliations
1 Indian Institute of Technology Kanpur, IN

Abstract

Surface texturing using laser is one such technique exhaustively used for enhancing the surface properties of the components. In this work, a 2D FEM is built to simulate the thermo-fluidic phenomena of surface texturing in the preplaced IN718 powder. Transient heat transfer and fluid flow were used to predict the temperature and velocity fields. Experiments are conducted to develop micro-convex dimple texture on the surface, which usually enhances the surface hydrophobicity and tribological properties. The experimental and numerical results are in good agreement and reveal that with increase in the number of pulses, the height of the micro-convex dimples decreases.

Keywords

Additive Manufacturing, Convex Dimple, Texture, Simulation, Melt Pool Oscillations.

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