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This paper discusses the design of a data-driven framework for detecting anomalies in the automotive field failure and repair data. The anomaly detection framework detects anomalies at two levels: 1) It detects anomalies in repair data using system-level fault model (or fault dependency-matrix) and diagnostic reasoner; 2) It detects anomalies in diagnostic trouble code (DTC) data using operating sensory...
Partitioning a large set of objects into homogeneous clusters is a fundamental operation in data mining. The k-means algorithm is best suited for implementing this operation because of its efficiency in clustering large data sets. In this paper we present a comparative study on different clustering algorithms with respect to k - means clustering to work on large data sets. In this paper we present...
Recently there has been lot of interest in using the gait energy image (GEI) of human walk sequence for individual recognition. Researchers have reported very good recognition rates using both unsupervised and supervised methods for normal walk sequences. However, the performance degrades when there is a variant like change in clothing or carrying a bag. This paper shows that the performance for the...
In this paper we present a sorting algorithm, which uses the methodology of insertion sort efficiently to give a much better performance than the existing sorting algorithms of the O(n2 ) class. We prove the correctness of the algorithm and give a detailed time complexity analysis of the algorithm. We also describe various applications of the algorithms.
A central problem in marketing is the clear understanding of consumer's choice or preferences. This is achieved by designing questionnaires and then analyzing the answers of would be customers. The traditional approach in the conjoint analysis has been the designing of non-adaptive questionnaires. The questionnaire is predetermined and not at all influenced by respondent's answers. This paper aims...
The emergence of e-commerce has created new financial needs that in many cases cannot be effectively fulfilled by the traditional payment systems. Recognizing this, virtually all interested parties are exploring various types of electronic payment system and issues surrounding electronic payment system and digital currency. Broadly electronic payment systems can be classified into four categories:...
Dynamically allocated and manipulated data structures cannot be translated into hardware unless there is an upper bound on the amount of memory the program uses during all executions. This bound can depend on the generic parameters to the program, i.e., program inputs that are instantiated at synthesis time. We propose a constraint based method for the discovery of memory usage bounds, which leads...
This paper presents an electronically tunable current-mode universal biquad filter based on the current controlled current conveyor transconductance amplifiers (CCCCTAs). The proposed filter employs only three CCCCTAs, two capacitors one of which is permanently grounded. The proposed filter realizes low pass (LP), band pass (BP) and high pass (HP) responses simultaneously. The filter can also realize...
Panoramic stitching of static and dynamic scenes is a very important and challenging research area. For static scenes, number of approaches has been proposed so far. The result produced by these approaches provides great similarity between resultant panorama and input images with almost zero seam visibility. However for dynamic scenes, we have found that existing approaches are unable to overcome...
This paper presents a factorial hidden Markov model (FHMM)-based diagnostic reasoner to handle multiple intermittent faults. The dynamic multiple fault diagnosis (DMFD) problem is to determine the most likely evolution of fault states, the one that best explains the observed test outcomes over time. In our previous research work, we have shown that the problem of diagnosing dynamic multiple faults...
An open domain question answering system is one of the emerging information retrieval systems available on the World Wide Web that is becoming popular day by day to get succinct and relevant answers in response of users' questions. The validation of the correctness of the answer is an important issue in the field of question answering. In this paper, we are proposing a World Wide Web based solution...
It is known that insertion sort performs better on almost sorted arrays than other O(n2 ) sorting algorithms. In this paper we develop a bi-partitioned insertion algorithm for sorting, which out beats all other O(n2 ) sorting algorithms in general cases. The graphs of total time taken by different sorting algorithms confirm the superiority of our algorithm over other existing similar algorithms. We...
In the design of wireless networking protocols and systems, simulation has become the primary form of initial validation and performance evaluation. Hence, ensuring the realism of simulators and simulation methods is fundamental for simulated results to be interpretable. In this paper, we provide a simulation framework for infrastructure wireless network traffic that allows researchers to use publicly...
The next generation of warships might be virtually invisible to the human eye. This can be achieved by painting ships with metamaterial. These materials can bend light around object, making it to appear to an observer as though the waves have passed through empty space. We have developed a method to identify these ships target with the help of image processing. Research on the extraction of ship target...
Sorting is a very well known problem in computer science. It means arranging the data in either increasing or decreasing order. Here we present a new comparison based sorting algorithm whose complexity is theoretically shown to be O(n2).However graphs of total time taken by different sorting algorithms confirms the superiority of our algorithm over other existing similar algorithms. We have also proved...
Time based preventive maintenance not only helps in uncovering defects but also commencement of these defects resulting in defects mitigation. Time based preventive maintenance helps in identifying defects in track geometry and can prevent them happening in future. Such effective time based maintenance helps in identifying trends for track geometry. One such way for effective predictive condition...
Preventive maintenance finds the commencement of failure and helps them in mitigating them. It can also help in uncovering hidden failures. Preventive maintenance management can be used to determine defects in rail profile and prevent them happening in future. Such system helps in identifying trends for effective and efficient maintenance of rail profile. One such way is an in depth by information...
Track maintenance policies have traditionally been looked on as engineering led decisions. Maintenance actions have been typically based on use of exceedence thresholds each measurement is compared against a preset threshold such that if it exceeds the threshold then maintenance is done. This paper make two significant contribution one explaining various track geometry parameters in UK rail industry...
Time based track maintenance, in context of rail profile and track geometry, has conventionally been looked as engineering decisions. Current rail track maintenance activities are typically based on use of exceedence thresholds each measurement is compared against a pre-set threshold such that if it exceeds the threshold then maintenance is done on either of rail profile or track geometry. Time based...
This paper provides a comparative study of various spatial domain filters for speckle suppression in ultrasound images. Spatial domain filters are easy to implement on real time systems because they work faster than other methods like multi-resolution or wavelets based filters. Different filters have been evaluated experimentally on synthetic and real ultrasound images. Their performance is noted...
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