International Journal of Intelligent Engineering and Systems

1

Authors: Neha Singh, Agrawal Kalpesh, Swathi Jamjala Narayanan

Prediction of fault proneness of modules in software is one of the ways to ensure the achievement of software quality and reliability. Software delivered cannot not always be bug free, the more the number of bug the more the dis-satisfaction among client due to degradation in software quality and reliability. Though we have few models for detecting software fault prone modules, the intend of our work is to increase the reliability of the software by using an approach named Rough Fuzzy c-means (RFCM) clustering algorithm to analyse the fault proneness of the software modules under test. This helps in an efficient analysis of the modules having an ambiguous behaviour using rough set boundary which is not possible using traditional clustering methods. A dataset from PROMISE software engineering repository has been taken for the experimental analysis. The results were promising enough to determine software modules which fall in the boundary region of ambiguity emphasizing the software team to focus on those modules to achieve higher reliable system.

20

Authors: Naradon Chotiwanaporn, Chow Chompoo-Inwai

This research paper presents the new idea of applying the transmission line teleprotection scheme called direct transfer trip (DTT) technique to use with a closed-loop distribution network. A large-scale 163MW gas turbine power plant connected to a three-substation closed-loop distribution network was chosen to be a case study here. A newly-proposed DTT configuration, DTT logic diagram and circuit breaker trip matrix had been redesigned and presented in this paper. For the proposed DTT configuration, several remote terminal units will be installed at every substation connected to the distribution network, whereas the logic controller will be installed at the selected power plant. A huge advantage over the conventionally-installed zoning peer-to-peer protection scheme is that the proposed DTT logic controller is able to almost instantaneously compute and send out the clearing faults command, regardless of fault locations in this particular closed-loop distribution network, while the conventional one cannot in many cases. Additional benefit is that the proposed DTT teleprotection scheme completely prevent the generators from operation in island mode resulting in minimal lost and damages caused from this circumstance. The relay test tool is used to verify the proposed DTT protective capabilities and speed. The simulation and commissioning test results confirm the proper functionality of the proposed technique. The implementation to the real field has been done and presented here as well. What we have learned from this case study shall be a very good guideline for other similar circumstances.

39

Authors: Bachir Bendjaima, Djamel Saigaa, Djalal Eddine Khodja

In industry, the service continuity of an electrical system drives requires degrees of reliability of operation and high safety. Thus, the system requires robust elements to avoid falling into the defects. But the appearance of defects, it is inevitable. It is therefore necessary to solve this problem by developing a control technique that can ensure continuity of operation in the presence of faults. Indeed, the sliding mode adaptive control based on fuzzy logic ensures the stability of the system healthy and able to compensate certain types of defects: the defects of low severity. In fact, is with the fuzzy sliding controller with varying control gains. This one is based on supervisory fuzzy inference system using the adaptive tune in order to improve the performance of controller in presence of current sensors faults. In addition, the sensors are the most sensitive elements and the seat of frequent faults, and play a leading role in the closed loop control. An operation of a tolerant control the default intended to compensate the default offset sensor. The developed algorithm is validated by simulation and the obtained results showed the effectiveness and the robustness of the proposed approach under different scenarios.

60

Authors: Srihari Mandava, Abhishek Gudipalli, Vidhyasagar Gorla, AmuthaPrabha Nagarajan

The harmonics injecting into power systems are increasing from day to day with the increasing use of power electronics and nonlinear loads. These harmonics are to be monitored and analyzed to measure their impact on the quality of the power flowing through the lines during normal and abnormal conditions. It is easy to measure the fundamental frequency and it’s off nominals of power signal using DFT and its extended methods when the power system frequency is stable. But, with increase in micro-grids and renewable energy sources like wind into the power network, the frequency of the power system in not stable. The DFT leads to errors in frequency estimation during this unstable state .This work uses the demodulation method for estimating the amplitudes and phase angle of fundamental frequency and its off-nominals of a power system having dynamics in frequency. This demodulation principle is part of the orthogonal frequency division multiplexing (OFDM) used for digital multi-carrier modulation.

78

Authors: Madhav Vaidya, Yashwant Joshi, Milind Bhalerao

Recognition of handwritten Marathi character/digits is comparatively a tough task as compared to English. It has several types of applications including the postal code reading and sorting, banks check amount processing. In this paper a novel feature extraction and selection method is proposed for the recognition of isolated handwritten Marathi numbers which is based on one dimensional Discrete Cosine Transform (DCT) algorithm. The scanned document is pre-processed and segmented to create isolated numerals. Features for each numeral can be calculated after normalizing the numeral image to 32 × 32 size. Based on these reduced features, the numerals are classified into appropriate groups. Neural network is used for classification of numerals based on the extracted features. The results of proposed method are compared with the results obtained using Discrete Wavelet Transform and zonal discrete cosine transform (ZDCT). The proposed approach gives improved results as compared to zonal DCT and DWT method. Experimental results shows accuracy observed for the method is 90.30% with normalized numeral image of size 32 × 32.

98

Authors: Kairat Jaroenrat, Natchamol Srichumroenrattana

One popular IP network routing protocol is OSPF (Open Shortest Path First), which uses algorithms to find its own path by calculating the path with the least weight from source to destination. As a result, the design and routing of the data flow may not meet the requirements. To meet the efficiency of cable installation and routing, the Branch Exchange for network design process was applied. With the ability to select the number of links to be exchanged with others, we can trade-off between the design efficiency and the processing time. We used the ability of the Branch Exchange method to determine a network with an efficient traffic flow distribution. We calculated the end-to-end delay time using the M/M/1 model, then analyzed the network design efficiency of 8- and 9-node networks compared to the Simplex method. For 8-, 9-, and 10-node networks, we compared the MENTOR-II method to traffic flow and network complexity. The results showed that the efficiency of the Branch Exchange method in terms of delay and cost closely align to the Simplex method but with faster calculation time. However, more exchange links (r) means a processing time closer to the Simplex method.

116

Authors: Viji Gripsy Jebaseelan, Anithalakshmi Srinivasan

Location aided routing in Mobile-Ad hoc networks are the most significant process because it limits the route search and allows routing with least messages. Due to the dynamic and uncertain infrastructure of Ad-hoc and sensor networks also creates several security issues like route misbehaviors. This paper aims to develop a new lightweight route selection scheme with the security concern. In this scheme, the routing attack targets are identified and avoided by deploying intellectual watchdog and lightweight key verification mechanisms, the scheme also utilizes the curved rectangle zone selection for shrinking route search space. The scheme is extended to adopt the curved rectangle zone routing for both Ad-hoc and Sensor Networks. The core functionality of the proposed work in terms of cost effective and secure route selection is validated by NS-2 tool. The experimental results demonstrated that the proposed approach is cost effective and secure and provides significant performance improvements with least energy consumption

134

Authors: Sindhu Babulogiah, Valarmathi Jayaraman, Christopher Sargunaraj

This paper discusses about the range estimation using multiple model method for single sensor bearing only tracking (BOT) in 3D. For BOT, the ownship is assumed to take a manoeuvre to gain observability in range and target state. The unknown target range was divided into uniform sub-intervals and nonlinear filters like Extended and unscented Kalman filter (EKF and UKF) with Cartesian and modified spherical coordinates (MSC) were implemented. Comparative results indicate that, UKF in MSC performs better with high computational time. This paper introduces Adaptive nonlinear filter (ANF) to get better range estimate with reduced computational time without affecting the filter performance. It is accomplished by conjoining Cartesian EKF with UKF in MSC, adaptively during the stationary and manoeuvring ownship conditions. The performance comparison was analysed using root mean square error, bias error and computational time. Simulation results reveal that ANF shows better results with reduced computational time.

156

Authors: Ketthari Thandapani, Sugumar Rajendran

Privacy Preserving Data Mining (PPDM) has turned into a well-known research region. Step by step instructions are adjusted between privacy assurance and knowledge discovery in the sharing procedure is a critical issue. Likewise, currently, not more strategies are accessible in the literature to hide the sensitive itemsets in the database. One of the existing privacy-preserving utility mining strategies uses two algorithms, HHUIF and MSICF to disguise the sensitive item sets so that the foes can't mine them from the modified database. This paper concentrates the privacy for the sensitive data actualize in a hybrid approach that is Optimal High Utility Item Selector (OHUIS) method. This Item Selector (IS) procedure upgrades the threshold utilizing inspired Krill Herd Optimization (KHO) method. With a specific end goal to hide the sensitive item sets, the frequency estimation of the items is changed. On the off chance that the utility estimations of the items are same, the OHUIS algorithm chooses the precise items and after that, the frequency estimations of the selected items are altered. The proposed OHUIS reduces the computation many-sided quality and also enhances the hiding performance of the item sets. The algorithm is actualized and the resultant item sets are thought about against the item sets that are acquired from the traditional privacy preserving utility mining algorithms. The test comes about demonstrate that OHUIS accomplishes the lower miss costs compared to the existing procedures for various manufactured datasets.

174

Authors: Zavli Juwantara, Maman Abdurohman, Sidik Prabowo

This paper proposes the enhancement of a selected Fuzzy Multiple Attribute Decision Making algorithm, namely Modified Multiplicative Exponent Weighting (M2EW) algorithm. The main focus of improving the Multiplicative Exponent Weighting (MEW) algorithm is to enhance the reliability of alternative vector preference calculations for selecting network candidates in a vertical handover (VHO). However, MEW algorithm has resulted in relative accuracy from each network which has not, in many cases, matched the necessary conditions. The improvement is done by calculating the Euclidean distance between the nodes represented by the weight values of each selected network candidate parameter. There are various algorithms used to support the VHO mechanism, for example an algorithm that calculates the value of each of the network selection parameters such as RSS, bandwidth or network speed such as Simple Additive Weighting (SAW) and MEW algorithm. The result shows that the M2EW algorithm has increased the relative standard deviation value by 0.2% and has shown the same delay as the MEW algorithm.

192

Authors: Eman El Sayed, Abeer El Korany, Akram Salah, Hesham Hefny

Continually, search engines improve their capabilities toward facilitating search and the retrieval enhancement. Despite the great efforts in the information retrieval field, the retrieved results may be out of user’s expectation. This may be due to the huge number of web resources, and unidentified user’s interests and domain. This paper proposes exploiting social annotations for improving retrieval based on personalization. The personalization focuses on web resources and retrieval process. In this context, new layer of knowledge is added to the web resource analysis and retrieval. Then, the additional knowledge leads to improve the retrieved results to be close to user’s interests. So, it retrieved different results for the same query based on the user’s interests. By applying the system, the experiments realize 36% precision improvement compared to non-personalized search engine. Moreover, the user satisfaction measured by evaluating search results versus user’s priorities, where it was in between 92% up to 100%.

211

Authors: Vinod Kumar, Ramjeevan Singh Thakur

High utility webpage set states to those set of webpages which have high utility value in a weblog database. To find high utility item sets from transactional databases, there exist various algorithms. However, these existing algorithms mostly deals with data like- categorical, time series, binary etc. The weblog data is different from other types of data. The utility webpages extracted from the log data can be used for knowing the user’s behaviour. In this research paper, two algorithms named HUWSM (high utility webpage sets mining) and HUWP-FP (high utility webpage sets - frequent pattern) Tree have been developed and used for efficiently mining high utility webpage sets from web log database. Along with this, a pattern generation technique based on the ‘Jaccard Similarity’ is also included in this method. The HUWSM method has also been compared with various other existing methods. This algorithm has shown a much better performance and more effectiveness over other algorithms like FHM, HUI-MINER and IHUP methods in terms of memory consumption and execution time.

230

Authors: Kotari Sridevi, Mandapati Sridhar

An unstructured version of a traditional wireless network provides a mobile ad hoc network (MANET) that is well suited for emergencies. However, due to lack of infrastructure and resource limitations, many performance problems occur at the same time. High-security vulnerabilities are likely to arise, largely because of dynamic behavior, and the complete communication cycle dependent on unidentified nodes which join and leaves as they want. Several past security schemes studies suggested that reliable and trusted nodes can minimize communication overhead and achieve higher throughput. This kind of scheme affects the route chosen for communication because it cannot distinguish between intentional and unintentional errors at runtime. It is, therefore, important to categorize node activities and also provide a node recovery scheme to regain their original reliability for the genuine nodes. In this paper, we propose a Reliable Trustworthy Approach (RTA) based on node behavior prediction for secure routing. It presents a behavior prediction algorithm for recognizing node behavior by differentiating among the unintentional transient errors and intentional malicious behavior, and the RTA mechanism which provides a method for node trust computation and a method for trust recovery. Experiment results show throughput improvisation against the malicious node intrusion. With increasing, malicious nodes in network RTA mechanism effectively predicted with an optimal packet loss and delay it attained prove the effectiveness of the mechanism.

250

Authors: Sumalatha Madugula, Panchala Venkata Naganjaneyulu, Kodati Satya Prasad

In VLSI design, performance parameters such as speed and hardware cost are important facts during the implementation of complex algorithms. In this paper, Low Cost Carry SeLect Adder Finite Impulse Response (LC-CSLA-FIR) is introduced to perform the FIR filter operations. With the help of shifter-I, shifter-II, and Shifter-III circuits, the FIR filter operation is performed without using any multipliers. In this new architecture, there is no need of storing the co-efficient in the ROM and number of multipliers. Due to the absence of multipliers, the quantity of hardware is reduced and the performance of the architecture is increase. With the help of Verilog code, the FIR filter architecture is verified in Modelsim software. After Field Programmable Gate Array (FPGA) analysis, Look Up Table (LUT), slices, flip flops, frequency and ASIC implementation area, power, delay, Area Power Product (APP), Area Delay Product (ADP) is improved in LC-CSLA-RFIR method compare to conventional methods.

273

Authors: Sharmasth Vali Yerur, Prakash Natarajan, Tiruchirai Ramanujam Rangaswamy

The open nature of Mobile Ad Hoc NETworks (MANETs) provides an opportunity for intrusions. The current intrusion mechanisms are reactive and incapable of preventing the intrusions proactively. This paper proposes the secure routing using Hybrid intrusion prevention systems against dropping and data integrity THreat (SHEATH). This proposal implements self-key and mutual-key reliant prevention and the appearance frequency based behavior certainty measurement on routing paths. The self-key prevention scheme exploits the encrypted value of the sequence number as a normal pattern and the decryption determine whether the route reply is the result of a malicious node or not. The behavior certainty measurement using distributed selection of Squad Head nodes ensures the effective observation of misuse pattern and minimum routing overhead. The data forwarding phase shares a mutual key between the communicating nodes that prevent the data integrity attacks. The simulation results confirm the efficiency of the hybrid preventive scheme against intrusions.