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Performance Optimization In Body Sensor Network Using Self Calibration Tdma Algorithm, M. Mohammed Mustafa, V. Parthasarathy
Performance Optimization In Body Sensor Network Using Self Calibration Tdma Algorithm, M. Mohammed Mustafa, V. Parthasarathy
Applied Mathematics & Information Sciences
The paper focuses on variation in performance characteristics, such as the packet delivery ratio, throughput, jitter, and the delay, varies when the queue length has been changed. The results proved that there is no impact on the jitter when the queue length was varied. The packet delivery ratio and the throughput are increased when the queue length are increased by 10. Hence, the self- calibrating TDMA algorithm can be used to implement the body sensor network and queue length can be kept at 20 to be optimized for good throughput and packet delivery ratio.
A Mathematical Model For Cell Zooming Mechanism Of Base Station Using Classification Approach, V. Sivachandran, M. Malleswaran
A Mathematical Model For Cell Zooming Mechanism Of Base Station Using Classification Approach, V. Sivachandran, M. Malleswaran
Applied Mathematics & Information Sciences
In this paper, an efficient approach for cell zooming mechanism of Base Station is proposed using classification method. The proposed cell zooming methodology has the following stages: capacity computation of base station, determination of payload of each cell and processing of BS to be switched ON/OFF using Neural Network classification approach. The performance of the proposed cell zooming methodology using classification approach is analyzed in terms of call handling rate, latency and throughput. The proposed cell zooming mechanism using feed forward back propagation neural networks achieves 94.2\% of CHR, 14.4 ns of latency and 18,187 bits/esc of throughput.
A Mathematical Approach To Nonlinear Travelling Waves On Polymeric Jets During Centrifugal Spinning, Abdullah Madhi Alsharif
A Mathematical Approach To Nonlinear Travelling Waves On Polymeric Jets During Centrifugal Spinning, Abdullah Madhi Alsharif
Applied Mathematics & Information Sciences
Centrifugal jet spinning is a novel method that is used to produce nanofibers. In this paper, theoretical and numerical study of the behavior of polymeric liquid jets during centrifugal spinning is investigated. The nonlinear instability of polymeric liquid jets is examined in the presence of centrifugal forces, gravity and surface tension. In addition, an asymptotic analysis and perturbation theory are applied for this polymeric jets during centrifugal spinning to simplify the governing equations into a set of one-dimensional equations. Then, the trajectory of non-Newtonian liquid jets during the centrifugal spinning has been determined. Furthermore, the two-step Lax-Wendroff method is used …
Co-Extraction Of Feature Sentiment And Context Terms For Context-Sensitive Feature-Based Sentiment Classification Using Attentive-Lstm, S. K .Lavanya, B. Parvathavarthini
Co-Extraction Of Feature Sentiment And Context Terms For Context-Sensitive Feature-Based Sentiment Classification Using Attentive-Lstm, S. K .Lavanya, B. Parvathavarthini
Applied Mathematics & Information Sciences
In the field of business intelligence, the context in which customers see, hear and think about a product plays an important role in their call of buying the product. Context-sensitive sentiment classification methods determine the polarity of the sentiment terms by considering the contexts of the target word. Most of the present techniques consider only product-level, user-level contexts for sentiment classification. These contexts are more general and depend on additional features to achieve good performance. Feature-level contexts e.g., car’s features include mileage and its context comprises city, highway, short-trips, long-trips and hill station providing fine-grained information needed for sentiment classification. …
Architecting A Fully Fuzzy Information Model For Multi-Level Quadratically Constrained Quadratic Programming Problem, Hawaf Abdalhakim, O. E. Emam, A. A. Abd El-Mageed
Architecting A Fully Fuzzy Information Model For Multi-Level Quadratically Constrained Quadratic Programming Problem, Hawaf Abdalhakim, O. E. Emam, A. A. Abd El-Mageed
Applied Mathematics & Information Sciences
An effective model based on the bound and decomposition method and the separable programming method is proposed in this paper for solving Fully Fuzzy Multi-Level Quadratically Constrained Quadratic Programming (FFMLQCQP) problem, where the objective function and the constraints are quadratic, also all the coefficients and variables of both objective functions and constraints are described fuzzily as fuzzy numbers. The bound and decomposition method is recommended to decompose the given (FFMLQCQP) problem into series of crisp Quadratically-Constrained Quadratic Programming (QCQP) problems with bounded variable constraints for each level. Each (QCQP) problem is then solved independently by utilizing the separable programming method, …
Approximate Asymptotic Confidence Interval For The Population Standard Deviation Based On The Sample Gini’S Mean Difference, Moustafa O. A. Abu-Shawiesh, Aamir Saghir, B. M. Golam Kibria
Approximate Asymptotic Confidence Interval For The Population Standard Deviation Based On The Sample Gini’S Mean Difference, Moustafa O. A. Abu-Shawiesh, Aamir Saghir, B. M. Golam Kibria
Applied Mathematics & Information Sciences
In this paper, an approximate asymptotic confidence interval for the population standard deviation (σ) is constructed based on the sample Gini’s Mean Difference (GMD). The estimated Coverage Probability (CP) and the Average Width (AW) of the proposed approximate asymptotic confidence interval were studied by means of a Monte-Carlo simulation under different settings and compared with two-widely used methods, namely the exact method and the Bonnet (2006) method. It appears that the proposed approximate asymptotic confidence interval method based on GMD performing well comparing to the exact method for some selected distributions. Two real-life data examples are analyzed to illustrate the …
Some Types Of Soft Ordered Maps Via Soft Pre Open Sets, T. M. Al-Shami, M. E. El-Shafei
Some Types Of Soft Ordered Maps Via Soft Pre Open Sets, T. M. Al-Shami, M. E. El-Shafei
Applied Mathematics & Information Sciences
In this study, we define the concepts of soft x-pre continuous, soft x-pre open, soft x-pre closed and soft x-pre homeomorphism maps, where x ∈ {I,D,B}. These concepts are formulated depending on the increasing, decreasing and balancing soft pre open sets. We characterize these concepts and illustrate the relationships among them with the help of examples. Among the interesting obtained results are those associate concepts with their counterparts on topological ordered spaces.
Time-Convolutionless Master Equation For Multi-Level Open Quantum Systems With Initial System-Environment Correlations, Nikolai N. Bogolyubov, Jr., Andrey V. Soldatov
Time-Convolutionless Master Equation For Multi-Level Open Quantum Systems With Initial System-Environment Correlations, Nikolai N. Bogolyubov, Jr., Andrey V. Soldatov
Applied Mathematics & Information Sciences
Being closed and homogeneous in the reduced statistical operator, exact and approximate time-convolutionless differential master equations are derived by means of the projection operator method for the reduced statistical operator of a multi-level quantum system with finite number N of quantum energy eigenstates interacting with arbitrary external deterministic fields and dissipative environment simultaneously. Despite being homogeneous, these equations take into account initial correlations between the multi-level system and the environment.
Exact Traveling Wave Solutions Of The Whitham- Broer-Kaup-Like Equation With Time-Dependent Coefficients, Mustafa Inc, Mustafa Bayram
Exact Traveling Wave Solutions Of The Whitham- Broer-Kaup-Like Equation With Time-Dependent Coefficients, Mustafa Inc, Mustafa Bayram
Applied Mathematics & Information Sciences
The first integral method (FIM) is employed to solve the different type solutions of Whitham-Broer-Kaup-Like (WBKL) equation with time-dependent coefficient. We have acquired different types of solutions of this equation. We have also acquired the constraint conditions for the existence of the obtained solitons according to the parameters. It is shown that the method is effective and a direct method, based on the ring theory of commutative algebra.
Lomax-Rayleigh Distribution With An Application, Osvaldo Venegas, Yuri A. Iriarte, Juan M. Astorga, He ́Ctor W. Go ́Mez
Lomax-Rayleigh Distribution With An Application, Osvaldo Venegas, Yuri A. Iriarte, Juan M. Astorga, He ́Ctor W. Go ́Mez
Applied Mathematics & Information Sciences
We propose and study a two-parameter univariate distribution called the Lomax-Rayleigh distribution, which is shown to belong to the Lomax-Weibull family of distributions. It is generated using the Lomax-G generator class of distributions. Various structural properties including expressions for the moments, skewness and kurtosis coefficients of the distribution are derived. The model parameters are estimated by moment and maximum likelihood methods. We hope that the distribution proposed here serves as an alternative model to other models with two parameters proposed in the literature for modeling real data in many areas.
Investigation Of Pinched Hysteresis Of A Memristor Emulator Under Ferroresonance, S. Poornima, C. Pugazhendhi Sugumaran
Investigation Of Pinched Hysteresis Of A Memristor Emulator Under Ferroresonance, S. Poornima, C. Pugazhendhi Sugumaran
Applied Mathematics & Information Sciences
The frequent occurrence of ferroresonance phenomenon has destructive effects in distribution systems. The jump resonance accompanied by harmonics can be effectively mitigated using a nonlinear component. The upcoming memristor technology is applied in this work to control the ferroresonance in an inductive voltage transformer, which is used in a distribution substation. Due to non- commercialization of memristors, an emulator in the form of an electrolytic cell is developed. The set-up uses saturated copper sulfate (CuSO4) solution as the electrolyte and copper electrodes having different cross sectional areas. Nonlinearity is realized in the form of the pinched hysteresis loop in the …
A Novel K-Means Clustering-Based Fpga Parallel Processing In Big Data Analysis, Castro S., R. Pushpalakshmi
A Novel K-Means Clustering-Based Fpga Parallel Processing In Big Data Analysis, Castro S., R. Pushpalakshmi
Applied Mathematics & Information Sciences
Nowadaysanenormousamountofdynamic,heterogeneous,complexandunboundeddatawasobtainedfromvarioussectors like social networks, genomics, physics, health, and climatology. The process of operating and managing these data was significantly tedious, at the same, it is important to achieve the desired speed-performance in data processing. In the existing systems, hardware is more operative than the software. The processor-based software which processed earlier has a major disadvantage on the term of an algorithm, it is not effective on dealing with huge volume of data and also on achieving the overall efficiency. On the big data analyses, hardware support is important in order to overcome the real-time issues. The major data mining task …
Efficient Classification Of Medical Data And Disease Prediction Using Multi Attribute Disease Probability Measure, K. Ananthajothi, M. Subramaniam
Efficient Classification Of Medical Data And Disease Prediction Using Multi Attribute Disease Probability Measure, K. Ananthajothi, M. Subramaniam
Applied Mathematics & Information Sciences
In this paper, we introduce a multi attribute disease probability -based classification approach. The method first identifies the list of features available in the data set. Based on identified features, the data points have been verified for their completeness with all the features identified. The data points having incomplete and missing features have been eliminated from the data set. Further the method computes the probability measure on each dimension. According to the probability measure of various dimensions, the multi attribute disease probability (MADP) has been measured for each disease class. It is shown that the proposed MADP -based disease prediction …
Expert System For Automatic Configuration Of Kinematic Chain Of Multi-Spindle Drilling Boxes, Ayoub Fajraoui, Mehdi Kamel
Expert System For Automatic Configuration Of Kinematic Chain Of Multi-Spindle Drilling Boxes, Ayoub Fajraoui, Mehdi Kamel
Applied Mathematics & Information Sciences
During the preliminary design of a mechanical system, designers have always needed to test different concepts in order to find a final mechanical architecture that replies to their demands. They change parameter values, re-execute the calculation, add objects, change technological solution, modify or add hypotheses, etc. The different concepts manipulate often components whose interactions are essential for a good functioning of the system and an economic execution of the design process. In fact, most of components do not reply solely to one desired function, but participate also to the behavior of the system and the geometrical definition of the other …
Enhancing Network Duration By Secured Node Disjoint Clustering For Mobile Adhoc Network, K. Senthil Prakash, T. Guna Sekar
Enhancing Network Duration By Secured Node Disjoint Clustering For Mobile Adhoc Network, K. Senthil Prakash, T. Guna Sekar
Applied Mathematics & Information Sciences
Mobile Adhoc Networks (MANETs) are dynamic networks due to their node mobility and may be employed as multi- hop networks. Major research spotlight in data aggregation is directed towards conserving power. Additional research problems contain increasing the security level in data transmission and aggregation, managing tradeoffs in data aggregation i.e. tradeoffs among dissimilar objectives such as data accuracy, latency, improving quality of service in terms of throughput, end delay and power consumption. Security problems created by sensor networks constitute a big field for research issues like constructing routing protocols with inherent security aspects, cryptography technique for sensor networks, designing safe …
Fssam: Detecting Wormhole Occurrence Using Five-Stage Security Analysis Model In Manet, S. Muthukumar, K. Ruba Soundar
Fssam: Detecting Wormhole Occurrence Using Five-Stage Security Analysis Model In Manet, S. Muthukumar, K. Ruba Soundar
Applied Mathematics & Information Sciences
The mobile ad-hoc network is a wireless network in which the nodes communicate with each other through wireless channels. Security in this network is the crucial aspect to protect from the fraudulent actions. Due to the fraudulent actions the data is lost, the route gets a failure and data route diversion takes place. The data transmission in the network also gets failure and this work is aimed to model and implement a Five Stage Security Analysis Model (FSSAM) to detect the wormhole attacks in MANET. For that, the proposed model collects and analyzes the information about all the nodes, routing …
Clocking Convergence To Arnold Tongues - The H-Rank Approach, Mantas Landauskas, Minvydas Ragulskis
Clocking Convergence To Arnold Tongues - The H-Rank Approach, Mantas Landauskas, Minvydas Ragulskis
Applied Mathematics & Information Sciences
Computational techniques based on ranks of Hankel matrices (H-ranks) is used to study the convergence to Arnold tongues in the circle map. It appears that the process of convergence to the phase-locked mode of the discrete stationary attractor is far from being trivial. Figures of pseudoranks of Hankel matrices constructed from transient solutions of the circle map carry important physical information about complex nonlinear processes and are also beautiful from the aesthetical point of view.
Mitigation Of Distributed Denial Of Service Attacks On The Internet Of Things, R. Radhika, K. Kulothungan
Mitigation Of Distributed Denial Of Service Attacks On The Internet Of Things, R. Radhika, K. Kulothungan
Applied Mathematics & Information Sciences
The tremendous growth of the pervasive network and its utilization, in the Internet of Things (IoT), is purposefully explored around the world. The Internet of things has an enormous attraction for contender, and is effortlessly attacked due to destitute resource and imperfect distribution of things. The distributed denial of service attacks are fetching an increasingly, continual hassle into the network. Security possess significant insistence in the Internet of Things (IoT). In this paper, an algorithm for malicious user identification named as Flooding Distributed Denial of Service Attack Detection and Prevention Mechanism (FADM) is coined to protect the network, from ruining. …
N Two-Transmon-Qubit Quantum Logic Gates Realized In A Circuit Qed System, T. Said, A. Chouikh, M. Bennai
N Two-Transmon-Qubit Quantum Logic Gates Realized In A Circuit Qed System, T. Said, A. Chouikh, M. Bennai
Applied Mathematics & Information Sciences
We theoretically present an effective method to realize NiSWAP, N(sqrt(iSWAP)), NSWAP, N(sqrt(SWAP)) and NTQ-NOT gates based on the qubit-qubit interaction in a circuit QED using N+1 transmon qubits driven by a strong microwave field. In this system, the interaction between the qubits and the resonator field can be achieved by turning the gate voltage and the external flux. The operation time is independent of the number of qubits involved in the scheme, and the gates operations are insensitive to the initial state of the resonator. These quantum logic gates can be realized in a time (nanosecond-scale) much smaller than decoherence …
Three-Phase Induction Motors Faults Classification Using Audio Signals And Decision Trees, Beatriz Cristina Flamia De Azevedo, Glaucia Maria Bressan, Cristiano Marcos Agulhari, Herman Lucas Dos Santos, Wagner Endo
Three-Phase Induction Motors Faults Classification Using Audio Signals And Decision Trees, Beatriz Cristina Flamia De Azevedo, Glaucia Maria Bressan, Cristiano Marcos Agulhari, Herman Lucas Dos Santos, Wagner Endo
Applied Mathematics & Information Sciences
Thestudyofintelligentsystems,beingabletolearnandtogeneralizepatterns,hasbecomeanareahighlyexploredindiverse fields of science. In the industry area, systems are able to diagnose faults that have been widely studied. The electric motors present fundamental role in industry, since much of the production process depends on its good working. Therefore, avoiding unscheduled stoppage and faults is important in the production process. This paper presents supervised learning approaches to classify three-phase induction motors faults, applying Decision Trees and Random Forest algorithms. The great advantage of using intelligent systems in the motor faults classification is the fact that data collection can be done without interrupting the production process. The input to the proposed …
Improved Facial Expression Recognition With Xception Deep Net And Preprocessed Images, Maksat Kanatov, Lyazzat Atymtayeva, Mateus Mendes
Improved Facial Expression Recognition With Xception Deep Net And Preprocessed Images, Maksat Kanatov, Lyazzat Atymtayeva, Mateus Mendes
Applied Mathematics & Information Sciences
Automated Facial Expression Recognition (FER) is an important part of computer-human interaction. For decades, researchers and scientists have been trying to create a model of artificial intelligence that could think, learn, make decisions and act in a way similar to a real person. Among other skills, such model needs to recognise human facial expression to understand non-verbal language. The present paper describes a method to fine tune the FER process in images, using deep learning CNN model Xception, with preprocessing the images. The method has shown improved results when applied to different datasets.
The Robust Spectral Audio Features For Speech Emotion Recognition, Aisultan Shoiynbek, Kanat Kozhakhmet, Nazerke Sultanova, Rakhima Zhumaliyeva
The Robust Spectral Audio Features For Speech Emotion Recognition, Aisultan Shoiynbek, Kanat Kozhakhmet, Nazerke Sultanova, Rakhima Zhumaliyeva
Applied Mathematics & Information Sciences
This paper describes a revealing robust spectral feature for speech emotion recognition using Deep Neural Network (DNN) architecture with six fully-connected layers. We have used 3 class subset (angry, neutral, sad) of German corpus (Berlin database of emotional speech) containing 271 labeled recordings with a total length of 783 seconds. All data was divided into TRAIN (80 %) VALIDATION (10 %) and TESTING (10 %) sets. DNN is optimized using Stochastic Gradient Descent. And we have used batch normalization. As input, fourteen features were used and supported by the LIBROSSA library. Features are compared between each other. In accordance with …
Adapted Semi Carry Save Modular Montgomery Multiplier For High-Performance Elliptic Curve Cryptographic Processor, S. Senthilkumar, P. S. Periasamy
Adapted Semi Carry Save Modular Montgomery Multiplier For High-Performance Elliptic Curve Cryptographic Processor, S. Senthilkumar, P. S. Periasamy
Applied Mathematics & Information Sciences
In this paper,we propose a new adaptable Semi Carry Save Modular Montgomery Multiplier (ACS-MMM) with Multi- Value Logic method (MVL). We improve the performance of Modified Carry Save Adder (MCSA) with maintaining very small hardware complexity. The proposed ACS-MMM multiplier design has several advantages over previous models. The existing system requires additional clock cycles and the critical path delay parameter is reduced.It is shown that one can avoid the ACS Montgomery Modular Multiplier by avoiding unnecessary carry save addition measures that offer less delay. Therefore, the required clock cycles are significantly reduced by montgomery modular process. As a result, the …
New Ostrowski Type Inequalities For Coordinated (S, M)−Convex Functions In The Second Sense, Miguel J. Vivas-Cortez, Carlos Garcıa, Artion Kashuri, Jorge E. Hernandez Hernandez
New Ostrowski Type Inequalities For Coordinated (S, M)−Convex Functions In The Second Sense, Miguel J. Vivas-Cortez, Carlos Garcıa, Artion Kashuri, Jorge E. Hernandez Hernandez
Applied Mathematics & Information Sciences
In the present work we introduce the class of (s,m)-convex functions on the coordinates and some new Ostrowski-type inequalities are deduced for this kind of generalized convex functions. The results obtained have the absolute value of the second partial derivative with respect to the coordinates (∂2 f/∂r∂t) in the aforementioned class and bounded, as a necessary condition. This generalizes the results for convex functions of [10]. Also, some corollary is presented.
Fingerprint Segmentation Approach For Human Identification, Hany S. Khalifa, H. I. Wahhab, A. N. Alanssari, M. A. O Ahmed Khfagy
Fingerprint Segmentation Approach For Human Identification, Hany S. Khalifa, H. I. Wahhab, A. N. Alanssari, M. A. O Ahmed Khfagy
Applied Mathematics & Information Sciences
Biometrics are essential in facility access control where human characteristics are used for person identification. Fingerprint is a basic identity for verification. Fingerprint segmentation is an open problem in biometrics, hence it is the first process towards the utilization of fingerprints for human recognition because each individual has a unique and permanent fingerprint sample. Considering this uniqueness, Fingerprint-based human verification is used in several applications for a an era. A fingerprint image is considered as a pattern which composed of two regions, foreground and background. The foreground contains the significant information utilized in the fingerprint identification systems. However, the background …
A New Generalized Moment Generating Function Of Random Variables, Bruno Monte Castro, Marcelo Bourguignon
A New Generalized Moment Generating Function Of Random Variables, Bruno Monte Castro, Marcelo Bourguignon
Applied Mathematics & Information Sciences
Many of the important characteristics and features of a distribution are obtained through the ordinary moments and generating function. The main goal of this paper is to address a new approach to compute, without using multiple integrals and (Xa+b)r derivatives, E (Xc+d)s for a nonnegative random variable, where a,b,c,d are any real number. The proposed approach is discussed in detail and illustrated through a few examples.
Mathematical Modelling And Robust Pid Controller Design For Compressed Air Pressure Control Process, S. Arun Jayakar, G. M. Tamilselvan
Mathematical Modelling And Robust Pid Controller Design For Compressed Air Pressure Control Process, S. Arun Jayakar, G. M. Tamilselvan
Applied Mathematics & Information Sciences
IndustrialCompressedAirPressureControl(ICAPC)processisoneofthesignificantanddemandingtasksinalltheprocess industries. Due to the unpredictable leakages and nonlinear behavior of the pneumatic control valve, the automatic pressure control is very difficult with respect to its various preferable operating points. In this paper mathematical modeling, robust PID controller and novel parameter optimization technique have been proposed. This paper deals with various effects of disturbances and uncertainties affecting the process dynamics. The novel robust controller yields better set-point tracking capability and survives against the sudden regulation in the load parameter changes. For mathematical modelling and parameter optimization, the robust hybrid form of fminsearch and fmincon (FSFC) technique has been used, which …
Agility Enabling Practices To Augment The Supply Chain Performance Of The Leather Footwear Industry: Developing A Fuzzy Qfd Based Ascm Model, Shakila Shobana Theagarajan, Hansa Lysander Manohar
Agility Enabling Practices To Augment The Supply Chain Performance Of The Leather Footwear Industry: Developing A Fuzzy Qfd Based Ascm Model, Shakila Shobana Theagarajan, Hansa Lysander Manohar
Applied Mathematics & Information Sciences
The purpose of the research study is to understand the impact of the agility enabling practices onto the Supply Chain Performance Measures (SCPMs) in Indian leather footwear industry by means of fuzzy QFD tool. The agility-enhancing SCPMs specific to Indian leather footwear industry were identified and prioritized through Delphi study. The supply chain practices were then ascertained for the scope to achieve agility in the supply chain through factor analysis. The technical correlation between the SC practices and their relationship with agility-enhancing SCPMs was determined using Quality Function Deployment (QFD) tool. Then the supply chain practices were prioritized using fuzzy …
An Intelligent Routing Protocol For Manets With Efficient Weighted Clustering And Twin-Cluster Heads, R. Balasubramaniyan, M. Chandrasekaran
An Intelligent Routing Protocol For Manets With Efficient Weighted Clustering And Twin-Cluster Heads, R. Balasubramaniyan, M. Chandrasekaran
Applied Mathematics & Information Sciences
Mobile Ad hoc Networks (MANET) consisting multiple number of nodes having the feature of wireless communication and networking capability. These nodes are able to communicate with each node irrespective of its frequency range. Being the self- organizing nature, these networks can be formed as well as deformed easily and quickly without installing any centralized infrastructure. These networks have the highest mobility and routes to be updated frequently to ensure that the connections are newer one. The best performance guaranteeing routing protocol is Cluster Based Routing Protocol (CBRP). However, the CBRP has been suffering to sustain its performance due to poor …
Customized Cwt-Cca: Discovery Of Prominent Persons In The Crime Network, Ganeshkumar Pugalendhi, Shanmugapriya Kumaresan
Customized Cwt-Cca: Discovery Of Prominent Persons In The Crime Network, Ganeshkumar Pugalendhi, Shanmugapriya Kumaresan
Applied Mathematics & Information Sciences
In this paper, we propose a modified Cluster Walk Trap (CWT) approach combined with Closed Cycle Approach(CCA). The proposed method uses probability measure in a multimode network to evaluate group of persons involved in common crime and group of crime done by a common person thereby avoiding the difficulty of adjacency matrix. The usage of transitivity based on closed cycle in node identification overcomes the problem of computational complexity with the increased number of nodes and edges. Based on the clustering coefficient value, the influential nodes are classified as victim, suspect and witness. Experiments are conducted using the publicly available …