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Iris as a biometric trait has established itself in last two decades. Iris being unique and reliable is used for recognition and authentication purpose instead of using Passwords and PINs. Security is a major concern in any recognition system so is the case with iris recognition system. Further, recognition performance depends upon many factors among which distance, lighting conditions, subject cooperation, and pupil dynamics to name some important ones. The above mentioned covariates have been studies vastly in reference to iris recognition. In this paper, we have considered various novel factors that affect the performance of iris recognition system. Pupil dilation, contact lenses, periocular recognition, template aging, use of drugs and alcohol and sensor interoperability have been under investigation as emerging covariates of iris recognition; in recent times. The focus of this paper is to present a review of various covariates (existing as well as emerging) and their effects on recognition performance. This work shows that these covariates have considerable effect on iris recognition performance and need to be considered while implementing any commercial iris recognition systems.

Covariates, Iris Recognition, Pupil dilation, Contact Lenses, Synthetic Iris, Template Aging, Interoperability

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Sunil Kumar, Vijay Kumar Lamba, Surender Jangra, "Existing and Emerging Covariates of Iris Recognition," International Journal of Computer Sciences and Engineering, Vol.7, Issue.6, pp.140-146, 2019.

Rapid changes in the business rules in the world of business have proved to be an ethical factor in the assessment of the business logic. The ever-changing business world and the competitive nature of the process have led to the business logic to be an invaluable property for enterprises. The Web Service is the rising innovation in the field of business forms where the services offered by the association are overseen through the system called Change Management Framework. This framework is helpful for an organization to develop itself by satisfying the client requirements in a self-governing way. Service integration plays a major role in service discovery where there is a need to concentrate on the changing business logics .This is an arduous and time-consuming task. So the current attention is to have an automatic system to investigate the Business logics and distribute the felicitous style to integrate them. This paper gives an overview of recent research efforts made for dynamic web service integration and the methodologies adopted to understand the business policies and the techniques for identifying the business policy violations.

Change Management Framework, Web Service Integration, Business Policy Violation

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G. Amirthayogam, C. Anbu Ananth, "A Survey on Business Policy Violation in Web Service Integration," International Journal of Computer Sciences and Engineering, Vol.7, Issue.6, pp.147-151, 2019.

Proxy blind signature scheme is a combination proxy signature and blind signature scheme. Verma proposed a proxy blind signature scheme over braid groups and claimed that his scheme is secure against all possible security lapses and also satisfy all essential security attributes. This paper analyzes Verma’s proposed scheme and found that this scheme suffers with the serious security vulnerabilitie: cloning attack.

Public Key Cryptography, Braid group, Public key, Private key, Digital signature, Proxy signature

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Manoj Kumar, "Cloning attack on a Proxy Blind Signature Scheme over Braid Groups," International Journal of Computer Sciences and Engineering, Vol.7, Issue.6, pp.152-155, 2019.

Ontology and its role in different domain like Tourism, Agriculture, Music, Recommenders, industry 4.0, and big data is mostlyused in literature. With the growing structure of W3 among artificial intelligencetechnique web 2.0 replaced with semantic web. SPARQL, DL-Querywith their flavors are widely used in industry to retrieve information from the semantic web. Reasoning among the semantics are becoming popular in ontology. In this paper our main objective is to revision the various semantic web technology using ontology.

Ontology, Web 2.0, Reasoning etc

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[18] Enrique Noriega et al., “Extracting Inter-sentence Relations for Associating Biological Context with Events in Biomedical Texts”, 1545-5963 (c) 2018 IEEE
[19] Huaze Xie et. al, “Random Sampling and Inductive Ability Evaluation of Word Embedding in Medical Literature” Global Conference on Consumer Electronics(IEEE GCCE), pp.379-382, 2018.
[20] Shuoming Li et. al., “A Method of Emergent Event Evolution Reasoning Based on Ontology Cluster and Bayesian Network”, 2169-3536 2019 IEEE. VOLUME 7, 2019

Deepika, Dhiraj Khurana, "A Review on Ontology," International Journal of Computer Sciences and Engineering, Vol.7, Issue.6, pp.156-159, 2019.

YouTube is video sharing sites where a user can create own profile, upload videos and watch the multiple videos. The YouTube uses the recommender system. With the help of recommendation system we boost the popularity of videos. The recommendation is based on the relation between the number of views and the average number of views on particular videos. The recommendation also considers the likes and comment section. When the viewers view the same type of video then YouTube recommends the same type of video. The YouTube recommendation is based on machine learning technique. In machine learning we used the concept of the deep learning method. With the help of deep learning we solve the sophisticated problem. In this paper we see the working of deep neural network to recommend the video based on viewers.

Boost, Sophisticated, Deep Learning

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[2] James Davidson,Benjamin Liebald,Junning Liu,Palash Nandy,Taylor Van Vleet, "The YouTube Video Recommendation System", January 2010.
[3] S. Huffman. Search evaluation at Google.http://googleblog.blogspot.com/2008/09/search-evaluation-at-google.html, 2008.
[4] Shuai Zhang,Lina Yao,Aixin Sun,Yi Tay, "Deep Learning based Recommender System: A Survey and NewPerspectives", ACM Comput. Surv. 1, 1, Article 1 (July 2018), 35 pages.
[5] Paul Covington, Jay Adams, Emre Sargin, ” Deep Neural Networks for YouTube Recommendations”, Boston, Massachusetts, USA — September 15 - 19, 2016

Rashmi Singh, Suhasini Vijaykumar, "A Recommender System for YouTube Video based on deep neural network," International Journal of Computer Sciences and Engineering, Vol.7, Issue.6, pp.160-163, 2019.

The convolutional neural networks (CNN) are artificial neural networks (ANN) having many similarities like layered architecture, neurons, activation function, and learning rate are some of them. There are some differences also like in CNN we can also deal with tensors which is the most distinguishing feature of CNN and these are just multidimensional 2D or 3D arrays. Another difference is layers in CNN are not same as in ANN. The common layers present in CNN are called as convolutional, relu and maxpool and these are generally connected sequentially so that the output of one layer acts as input to another layer. In the current article, the hybrid approach of filters or kernel is proposed and is giving better results in comparison to other kernel initializers like variance scaling normally used in CNN. The dataset used is CIFAR-100.

Deep learning, Convolutional Neural Network, Image Classification, CIFAR-100,CIFAR-10

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Kshitij Tripathi, Rajendra G. Vyas, Anil K. Gupta, "Deep Learning through Convolutional Neural Networks for Classification of Image: A Novel Approach Using Hyper Filter," International Journal of Computer Sciences and Engineering, Vol.7, Issue.6, pp.164-168, 2019.

Cloud computing mainly does not focus on local resource instead; it uses shared computing resources applications or resources. It has emerged as a new type of computing for accessing present network, managing computer resources and managing distributed computing across the network in order to achieve high degree of precision and reliability various challenges needs to be addressed. One of the challenges in cloud computing is load balancing. Load balancing is important due to the fact that it allows achieving balance in the load by distributing it across the system to all its nodes. Cloud environment allows various ways to achieve load balancing. This includes managing the load on CPU, network load and the load capacity of storage. The greatest impact of balancing the load in cloud computing environment is that it has higher satisfaction of the users as well as it utilizes the resources efficiently. Proper load balancing support substantial improvement of the system, building a fault tolerant system by creating backup and increase flexibility of the system so that it adapts the modification. In cloud computing, there are various algorithms to achieve load balancing and these algorithms behave differently with its some advantages and disadvantages. In this paper we present a study on the different load balancing algorithms in cloud computing environment and analyze the results based on make span metrics. The results of the experiments depict the efficiency of Round Robin, Shortest Job First, Ant Colony Optimization and Honey Bee load balancing algorithm in terms of make span and we find that Honey Bee load balancing algorithm give the best results among the other load balancing algorithms.

Cloud computing; Load balancing; Static Load balancing; Dynamic Load balancing; Algorithms; Load balancer; Load balancing metrics

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Priyanka Sarma, Chandan Kalita, Vaskar Deka, "A Survey on Load Balancing Algorithms in Cloud Computing," International Journal of Computer Sciences and Engineering, Vol.7, Issue.6, pp.169-176, 2019.

This paper presents the work carried out in the modeling and simulation of fighter aircraft refueling probe hydraulic system with Advanced Modeling Environment for performing Simulations of engineering systems (AMESim) as the basic platform. Various component models like axial piston pump, accumulator, bootstrap reservoir and actuators along with the influence of engine speed are modeled and integrated in the AMESim. Air to air refueling consists in transferring fuel from one aircraft to another during flight. The inputs for simulation are; engine speed, refueling actuation command, flaperon command, rudder command and other flight control surface command which are obtained from tests conducted on hydraulic system test rig for a fighter aircraft. Simulation is carried out to identify the system behaviour.

AMESim, Refueling, Fighter Aircraft, Axial Piston Pump, Flight Control Surface.

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Pratik Patil, Prabhakar Maskar, Sanjay Vispute, Ohmkar Akhilesham, "Modeling and Simulation of Fighter Aircraft Refueling Probe Hydraulic System Using AMESim Software," International Journal of Computer Sciences and Engineering, Vol.7, Issue.6, pp.177-181, 2019.

Mobile Ad Hoc Network (MANET) is a widespread research area, where the protocols face challenges due to its dynamic network topology. The adaptive network is an emerging technology that draws attraction as it is cheaper, concise and powerful. In applications where sharing of information is essential, MANET uses multicast routing protocols, as it is easily deployable. The paper describes various system models (like energy model, LLT model, mobility model etc.) related to MANET. The objective of this paper is to introduce multicast routing in MANET with the aid of tree-based clustering and optimization by proposing Cuckoo Search (CS) and M-Tree based Multicast Ad hoc On-demand Distance Vector (CS-MAODV).

Multicast Routing, MANET, Cuckoo Search

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[3] Chia-Cheng Hu, “Bandwidth-satisfied multicast trees in large-scale ad-hoc networks”, Wireless Networks, vol. 16, no. 3, pp. 829-849, 2010.
[4] Shiow-Fen Hwang, Yi-Yu Su, Kun-Hsien Lu and Chyi-Ren Dow, “A Cluster-Based Approach for Efficient Multi-Source Multicasting in MANETs”, Wireless Personal Communication, vol. 57, no. 2, pp. 255–275, 2011.
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[12] I-Ta Lee, Guann-Long Chiou and Shun-Ren Yang, “A cooperative multicast routing protocol for mobile ad hoc networks”, Computer Networks, vol. 55, no. 10, pp. 407-424, 2011.
[13] Rajashekhar Biradar, Sunilkumar Manvi and Mylara Reddy, “Link stability based multicast routing scheme in MANET”, Computer Networks, vol. 54, no. 7, pp. 1183-1196, 2010.
[14] Rajashekhar C. Biradar and Sunilkumar S. Manvi, “Review of multicast routing mechanisms in mobile ad hoc networks”, Journal of Network and Computer Applications, vol. 35, no. 1, pp. 221-239, 2012.
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[17] Sung Ju Lee, William Su and Mario Gerla, “On-Demand Multicast Routing Protocol in Multihop Wireless Mobile Networks”, Mobile Networks and Applications, vol. 7, no. 6, pp. 441–453, 2002.
[18] Mohammad M. Qabajeh, Aisha H. Abdalla, Othman Khalifa and Liana K. Qabajeh, “A Tree-based QoS Multicast Routing Protocol for MANETs”, In proceedings of IEEE 4th International Conference on Mechatronics (ICOM), pp. 17-19, 2011.
[19] Chang Yeong Oh, Jongho Park and Jihyoung Ahn, “Tree-based Multicast Protocol using Multi-point Relays for Mobile Ad Hoc Networks”, In proceedings of IEEE 2011 Third International Conference on Ubiquitous and Future Networks (ICUFN), pp. 174-178, 2011.
[20] Hasan Abdulwahid, Bin Dai, Benxiong Huang and Zijing Chen, “Scheduled-Links Multicast Routing Protocol in MANETs”, Journal of Network and Computer Applications, vol. 63, pp. 56-67, 2015.
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[25] P Yadhav, “Dimensionality Reduction of Weighted Word Affinity Graph using Firefly Optimization”, International Journal of Engineering Research & Technology, Vol. 3, no. 10, pp. 1324-1327, 2014.
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D. Madhu Babu, M. Ussenaiah, "Novel Approach to Multi Constraints Reactive Multicast Routing Protocol for MANET," International Journal of Computer Sciences and Engineering, Vol.7, Issue.6, pp.182-187, 2019.

It will explore the current supply chain trend which is in the pharmaceutical industry. It’s important objective was to characterize the pharmaceutical industry and it will identify the proper supply chain practice. As we know that The pharmaceutical industry will not be renowned for its supply chain management abilities but on the other hand many other high publicized industries they do have profitably exploit their proper supply chain. It is a interesting topic for particular research. Let’s take a look . we are going to argue that an excellent supply chain is paramount to the pharmaceutical industry boom. This particular business objective of the pharma industry including there was a need so that to be ensure that we have the drugs are protected from adulteration and counterfeiting, remove and it will destroy in the safe and environmental friendly manner. We see that Clearly and they are not at all commonly use metrics so that it assess the major performance of a particular company or a particular supply chain.

pharma industry, money flow, money , money loss , money recovery

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Nikhil Bhardwaj, Shubham Jaiswal, Ananya Singh, S.B Nikam, "Detection and Recovery of Economic Losses in Sales Person Based Pharmaceutical Bussiness," International Journal of Computer Sciences and Engineering, Vol.7, Issue.6, pp.188-190, 2019.