scispace - formally typeset
Search or ask a question
Institution

College of Engineering, Pune

About: College of Engineering, Pune is a based out in . It is known for research contribution in the topics: Sliding mode control & Control theory. The organization has 4264 authors who have published 3492 publications receiving 19371 citations. The organization is also known as: COEP.


Papers
More filters
Journal ArticleDOI
TL;DR: Fast discrete curvelet transform-based anisotropic feature extraction for biomedical image indexing and retrieval and the experimental results show the superiority of proposed approach over well-known existing methods.
Abstract: This paper presents fast discrete curvelet transform-based anisotropic feature extraction for biomedical image indexing and retrieval. In this work, the curvelet transform is applied on the image and feature vector is calculated using the directional energies of these curvelet coefficients. The effectiveness of the proposed approach has been tested on three well-known databases: Open access series of imaging studies MRI, Emphysema-CT and NEMA-CT. The performance of the proposed system is evaluated using average retrieval precision and average retrieval rate. The experimental results show the superiority of proposed approach over well-known existing methods.

18 citations

Proceedings ArticleDOI
01 Aug 2018
TL;DR: In this paper, an insight is provided into the different protocols for Inter-vehicles and In-vehicle communication network systems, overview and the emerging In-Vehicle networking standards and their security issues.
Abstract: As a new generation vehicle are in market now days, new networking architecture is defined for those vehicles. In-vehicle communication and different interfaces which are used to connect in-vehicle network to outside are vulnerable. Communication like Vehicle to Vehicle (V2V), Vehicle to Infrastructure (V2I) and Vehicle to Anything (V2X) is not secure as there are so many vulnerabilities present in designed communication protocol. The vehicles which are on road consist of several Electronic controller units (ECU). These ECUs takes input from different sensors or another ECU and take appropriate action. When vehicle is on road, these ECUs are communicating continuously. According to the current figure there are near about 70 to 100 ECUs present and communication of these ECU is taken place via different communication channel called bus. To reduce the complex wiring of buses, researchers developed different protocol for different type of communication bus protocol such as LIN, CAN, FlexRay, and MOST which is widely used by different automotive manufacturers. On the basis of speed used for communication the bus is chosen like, to play video there must be very high speed bus as streaming must be taken place with maximum speed without any delay. There are several safety critical ECUs also such as break system, Engine Control, Speed Control etc. Apart from these, as day by day the luxurious features are introduced by the automotive manufacturer by adding more ECU and security for that gaining more importance. So the risk of cyber-attack is quite high which can be life threat to driver and passenger. In addition to that, interfaces such as wireless communication, remote diagnostics, and firmware update over the air are new platforms where attacker have various option for intrusion. For example attacker can take control on vehicle steering using wireless communication interface and puts lives of passengers in danger. To reduce the complex wiring for communication and increase the efficiency of communication automotive manufacturers developed different protocols but the security for that. In this paper, we will provide an insight into the different protocols for Inter-vehicle and In-vehicle communication network systems, overview and the emerging In-Vehicle networking standards and their security issues.

18 citations

Proceedings ArticleDOI
27 Jun 2008
TL;DR: This paper investigates fixed and dynamic channel allocation problem for cellular networks and its optimum solution using Genetic algorithm and finds a conflict-free channel allocation with minimum interference and minimum channel span.
Abstract: With limited frequency spectrum and an increasing demand for cellular communication services, the problem of channel allocation becomes increasingly important. However, finding a conflict-free channel allocation with minimum interference and minimum channel span is NP hard. Genetic algorithm (GA) is one of the heuristic optimization tools that can be used to solve this problem efficiently. In this paper we investigate fixed and dynamic channel allocation problem for cellular networks and its optimum solution using GA.

18 citations

Proceedings ArticleDOI
01 Feb 2017
TL;DR: The various strategies discussed here are mainly focusing on saving power and making data centers more efficient by considering server and network as its scope, however in future due to requirement of high bandwidth and network connectivity of data centers, power requirement of data center will go beyond the authors' imagination.
Abstract: Virtual machines use are increasing day by day as people are using many smart gadgets which are highly computing and for operating them smoothly, required virtual machines. Virtualization is the basic technique of creating various resources from the available physical infrastructure. It is the backbone of cloud computing technology. This paper try to deal with studying various techniques, models, algorithms, for efficient green cloud computing by using virtualization techniques. It mainly involves virtual machines(VMs) consolidation. Power utilization can be reduced by simply deactivating and reactivating physical machines to meet the current workload. Power awareness in distributed system can be defined as identifying the parameters which minimize the energy consumption along with better QOS, SLA. The various strategies discussed here are mainly focusing on saving power and making data centers more efficient by considering server and network as its scope, however in future due to requirement of high bandwidth and network connectivity of data centers, power requirement of data center will go beyond our imagination. To handle the above mentioned concern require actual study of how power consumption happens in data centers, most of the part of power are consumed by servers, CPU and switches i.e. network devices. There still lots of research need to be done to design such modern algorithm and techniques which achieve better energy efficiency along with consideration of QOS, SLA, and VM consolidation by defining VM topologies which are fault tolerant and also helps nature, mankind by minimizing Co 2 emission.

18 citations

Proceedings ArticleDOI
26 Feb 2015
TL;DR: Emotion detection of speech in human machine interaction is very important, that includes various modules performing actions like speech to text conversion, feature extraction, feature selection and classification of those features to identify the emotions.
Abstract: Emotion detection of speech in human machine interaction is very important. Framework for emotion detection is essential, that includes various modules performing actions like speech to text conversion, feature extraction, feature selection and classification of those features to identify the emotions. The features used for emotion detection of speech are prosody features, spectral features and voice quality features. The classifications of features involve the training of various emotional models to perform the classification appropriately. The features selected to be classified must be salient to detect the emotions correctly. And these features should have to convey the measurable level of emotional modulation.

18 citations


Authors

Showing all 4264 results

Network Information
Related Institutions (5)
Amrita Vishwa Vidyapeetham
11K papers, 76.1K citations

89% related

National Institute of Technology, Karnataka
7K papers, 70.3K citations

86% related

National Institute of Technology, Rourkela
10.7K papers, 150.1K citations

86% related

National Institute of Technology, Tiruchirappalli
8K papers, 111.9K citations

86% related

Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202227
2021491
2020323
2019325
2018373
2017334