Semnan UniversityInternational Journal of Nonlinear Analysis and Applications2008-682210220191201Fractional Order Glucose Insulin System Using Fractional Back-Stepping Sliding Mode Control110406710.22075/ijnaa.2019.4067ENS.VakiliDepartment of Electrical Engineering, Shahrood University of Technology, Shahrood, IranH.Toosian ShandizDepartment of Electrical Engineering, Ferdowsi University of Mashahd, Mashhad, IranJournal Article20190615In this paper, based on a fractional order Bergman minimal model, a robust strategy for regulation of blood glucose in type 1 diabetic patients is presented. Glucose/insulin concentration in the patient body is controlled through the injection under the patients skin by the pump. Many various controllers for this system have been proposed in the literature. However, most of them have consider the system as an integer order system. Moreover, the majority of the presented methods suffer from an important disadvantage that is long settling time of the control system. Thus, the contribution of<br />this paper in comparison with previous related works is presenting a fractional back-stepping sliding mode control that considerably reduces the required time for glucose to reach its desired level. Due to the sliding mode design, the proposed controller is robust against external disturbances. Due to the back-stepping design, convergence of each state variable of the system to its desired value can be guaranteed separately. Simulation results verify the satisfactory performance of the proposed controller.https://ijnaa.semnan.ac.ir/article_4067_75ffe41d631b8e5f13b5be7ce8523854.pdfSemnan UniversityInternational Journal of Nonlinear Analysis and Applications2008-682210220191201Connected Component Based Word Spotting on Persian Handwritten image documents1121412510.22075/ijnaa.2019.4125ENM.Iranpour MobarakehDepartment of Computer Engineering and IT, Payam Noor University, Tehran, IranH.YarmohammadiDepartment of Computer Engineering and IT, Payam Noor University, Tehran, IranJournal Article20190501Word spotting is to make searchable unindexed image documents by locating word/words in a document image, given a query word. This problem is challenging, mainly due to the large number of word classes with very small inter-class and substantial intra-class distances. In this paper, a segmentation-based word spotting method is presented for multi-writer Persian handwritten documents using attribute-based classification and label-embedding. For this purpose, a hierarchical<br />framework is proposed, in which at first, the candidate are selected based on connected components(CCs) sequence. Then, the query word is segmented to constructor CCs, and similar CCs count in the candidate region of document are selected based on their distances to the CCs count of the query word. As a result, the candidate regions are extracted. In the final phase, the query word is located only in the candidate regions of the document. A well known Persian handwritten text dataset, namely FTH, is chosen as a benchmark for the presented method. The results shows that the proposed method outperforms the state-of-the-art methods, 81.02 percent for unseen word class retrieval.https://ijnaa.semnan.ac.ir/article_4125_01fd23f7268272c714f75ed8f68ae3af.pdfSemnan UniversityInternational Journal of Nonlinear Analysis and Applications2008-682210220191201Classification of EEG-based motor imagery BCI by using ECOC2333395410.22075/ijnaa.2019.17634.1955ENJahangirMobarezpourShahid Beheshti University
Institute for Cognitive and Brain SciencesRezaKhosrowabadiShahid Beheshti University
Institute for Cognitive and Brain ScienceS0000-0002-6282-9389RezaGhaderiShahid Beheshti University
Institute for Cognitive and Brain SciencesKeivanNaviShahid Beheshti University
Institute for Cognitive and Brain SciencesJournal Article20180617Accuracy in identifying the subjects’ intentions for moving their different limbs from EEG signals is regarded as an important factor in the studies related to BCI. In fact, the complexity of motor-imagination and low amount of signal-to-noise ratio for EEG signal makes this identification as a difficult task. In order to overcome these complexities, many techniques such as various feature extraction methods, learning algorithms, and classifier schemes have been developed in this regard. However, conducting more research is necessary for improvement. The present study aimed to use an ensemble learning approach to improve the performance of MI-BCI systems. Therefore, filter bank common spatial pattern (FBCSP), as a well-known feature extraction method, was used to produce separable features from EEG signals. Accordingly, error correcting output codes (ECOC) was applied on several learning algorithms to classify four classes of motor imagery tasks. The proposed ECOC ensemble technique was tested on the data set 2a from BCI competition IV. Based on the results, the ECOC can lead to an improvement by using the naive Bayesian parzen window algorithm, compared to the winner algorithm of BCI competition IV, which is superior to other selected state of the art algorithms.https://ijnaa.semnan.ac.ir/article_3954_dc89552be3385ce1828a03700ad39dae.pdfSemnan UniversityInternational Journal of Nonlinear Analysis and Applications2008-682210220191201Some statistical inferences on the upper record of Lomax distribution3546412610.22075/ijnaa.2019.13208.1683ENGholamhosseinYariIran University of Science and TechnologyJournal Article20180626In this paper, we investigate some inferential properties of the upper record Lomax distribution. Also, we will estimate the upper record of the Lomax distribution parameters using methods, Moment (MME), Maximum Likelihood (MLE), Kullback-Leibler Divergence of the Survival function (DLS) and Baysian. Finally, we will compare these methods using the Monte Carlo simulation.https://ijnaa.semnan.ac.ir/article_4126_6be2642065217f44cd84231812d8766b.pdfSemnan UniversityInternational Journal of Nonlinear Analysis and Applications2008-682210220191201Evaluation of strategic risks of credit processes in the banking system of Iran4785417510.22075/ijnaa.2019.4175ENYadollahHemmatiDepartment of Financial Management, Branch Babol, Islamic Azad University, Babol, IranSeyed AliNabavi ChashmiDepartment of Financial Management, Branch Babol, Islamic Azad University, Babol, IranRahmatAlizadehDepartment of Industrial Management, Branch Babol, Islamic Azad University, Babol, IranJournal Article20171223In recent years, banks and financial institutions have always been at the forefront of identifying and assessing the operational risk of banking products and activities, processes and banking systems for effective risk management as an essential element of the Bank's risk management program of Banks. So that banks were able to reduce or even annihilate the potential risks of their banking activities. Therefore, the main objective of this study is to evaluate the strategic risks of credit processes in the banking system of Iran. The research method is also descriptive-applied and statistical population includes experts of banking and risk management. Data collection was performed by laboratory and field (questionnaire distribution) methods. In order to analyze the data, we used statistical tests (descriptive and inferential), factor analysis and multiple regression analysis. Therefore, the findings of this study illustrate that strategic risks of credit processes have a major effect on the performance of management of credit risks and operational risks in the banking system of Iran.https://ijnaa.semnan.ac.ir/article_4175_72385d72fa29d859c4b01b9b7fdad352.pdfSemnan UniversityInternational Journal of Nonlinear Analysis and Applications2008-682210220191201A New Method for Sentence Vector Normalization Using Word2vec8796417710.22075/ijnaa.2019.4177ENMohamadAbdolahiKharazmi International Campus Shahrood University of Technology, Shahrood, IranMortezaZahediKharazmi International Campus Shahrood University of Technology, Shahrood, IranJournal Article20200101Word embeddings (WE) have received much attention recently as word to numeric vectors architecture for all text processing approaches and has been a great asset for a large variety of NLP tasks. Most of text processing task tried to convert text components like sentences to numeric matrix to apply their processing algorithms. But the most important problems in all word vector-based text processing approaches are different sentences size and as a result, different dimension of sentences matrices. In this paper, we suggest an efficient but simple statistical method to convert text sentences into equal dimension and normalized matrices Proposed method aims to combines three most efficient methods (averaging based, most likely n-grams, and word’s mover distance) to use their advantages and reduce their constraints. The unique size resulting matrix does not depend on language, Subject and scope of the text and words semantic concepts. Our results demonstrate that normalized matrices capture complementary aspects of most text processing tasks such as coherence evaluation, text summarization, text classification, automatic essay scoring, and question answering.https://ijnaa.semnan.ac.ir/article_4177_29e1b466472244f0dcbbb0ceb34fea4c.pdfSemnan UniversityInternational Journal of Nonlinear Analysis and Applications2008-682210220191201A Novel Robust Hierarchical Consensus Algorithm with Application in DC Nanogrids Coordination97110417810.22075/ijnaa.2019.4178ENAhmadrezaGhaznaviFaculty of Electrical Engineering, Yazd University, Yazd, IranSMTAlmodarresiFaculty of Electrical Engineering, Yazd University, Yazd, IranJournal Article20171215This research investigates the delay sensitivity of discrete-time consensus among agents which communicate over a scale-free network with hubs. In this paper, a novel hierarchical consensus algorithm, based on the idea of virtual communication graph degree reduction, is proposed. As a result, a significant consensus speed gain is obtained which provides a potential time margin for applying cyber-physical techniques that cause systematic input delay. This approach provides robustness and resiliency in case of any communication topology disturbance during cyber- physical attacks or plug-and-play events. The feasibility of plug- and-play, which has the potential to increase the input delay, is presented based on the gained margin as a sample scenario. The algorithm application in the coordination of distributed photovoltaic resources of several nano-grids communicating over a scale-free network, is assessed via simulation as well.https://ijnaa.semnan.ac.ir/article_4178_e2cb52dc5f3439b05970db7f87599e80.pdfSemnan UniversityInternational Journal of Nonlinear Analysis and Applications2008-682210220191201New inequalities for generalized m-convex functions via generalized fractional integral operators and their applications275299419610.22075/ijnaa.2019.18455.2014ENArtionKashuriDepartment of Mathematics, Faculty of Technical Science, University Ismail Qemali, 9400, Vlora, AlbaniaMuhammad AamirAliDepartment of Mathematics Government College University Faisalabad Sahiwal Campus, PakistanMujahidAbbasDepartment of Mathematics, Government College University, Lahore 54000, Pakistan and Department of Mathematics and Applied, Mathematics, University of Pretoria, Lynnwood road, Pretoria 0002, South AfricaHuseyinBUDAKDepartment of Mathematics, Faculty of Science and Arts, Duzce University, Duzce, TurkeyJournal Article20190810In the present work, we prove a parametrized identity for a differentiable function via generalized integral operators. By applying the established identity and the new so-called generalized m-convex function, some generalized trapezium, Ostrowski and Simpson type integral inequalities have been discovered. Various special cases have been studied as well. Some applications of the present results to special means and new error estimates for the trapezium and midpoint quadrature formula have been investigated. It is hoped that the methods and techniques of this paper could further stimulate the research conducted in the field of integral inequalities.https://ijnaa.semnan.ac.ir/article_4196_daea50a4b96301c8fa4286bca26cae48.pdfSemnan UniversityInternational Journal of Nonlinear Analysis and Applications2008-682210220191201Ranking all units with non-radial models in DEA111129417910.22075/ijnaa.2019.4179ENAJabbariDepartment of Mathematics, Science and Research Branch, Islamic Azad University, Tehran, IranFHosseinzadehlotfiDepartment of Mathematics, Science and Research Branch, Islamic Azad University, Tehran, Iran0000-0001-5022-553XGhJahanshahlooDepartment of Mathematics, Science and Research Branch, Islamic Azad University, Tehran, IranMRostamy-MalkhalifehDepartment of Mathematics, Science and Research Branch, Islamic Azad University, Tehran, IranJournal Article20180114Data envelopment analysis (DEA) helps the managers to separate and classify the efficient and inefficient units in a homogenous group. DEA is a set of methods inferred from mathematics and other sciences in which the branch of unit ranking can be significantly effective in improving managerial decisions. Although this branch in DEA is considered still young, it has proved its ability in solving some problems like production planning, resource allocation, inventory control, etc. The managers who care about their results quality cannot be indifferent to units ranking. In this article, to rank the units which are under-evaluated, firstly the decision-making unit (DMU) is removed from the production possibility set (PPS), and then the new PPS is produced. The unit under evaluation is inside or outside of the new PPS. Therefore, to benchmark the under-evaluation DMU to new frontiers, two models are solved. If the removed unit is outside of the new PPS, the first model is feasible, and the second model is infeasible. If the removed unit is inside or on the frontier of the new PPS, both models are feasible. The method presented in this article for ranking the under-evaluation units has these characteristics: 1- this model can distinguish extreme and non-extreme efficient units and inefficient units. 2- Also, the presented models for ranking DMUs can be changed into a linear model. 3- This method shows stability in changing small or near-zero data. 4- It does not assign a false ranking. The presented methods in this article are able to distinguish the set of extreme and non-extreme efficient and inefficient units as well as being able to overcome the common problems in ranking. In this article, suggested models are introduced in subsec3.1 which are able to rank all under evaluation units except non-extreme efficient units, this problem is solved in subsec3.2, in other words in subsec3.2 all DMUs are rankedhttps://ijnaa.semnan.ac.ir/article_4179_a799b1f9143c5590e03c42f8d8feebdf.pdfSemnan UniversityInternational Journal of Nonlinear Analysis and Applications2008-682210220191201Application of 2-D fractal dimension in content based video summarization131140418010.22075/ijnaa.2019.4180ENHadiYarmohammadiFaculty of Computer Engineering, Shahrood University of Technology, Shahrood, IranHosseinMarviFaculty of Computer Engineering, Shahrood University of Technology, Shahrood, IranHamidHassanpourFaculty of Computer Engineering, Shahrood University of Technology, Shahrood, IranJournal Article20170614In this paper, a novel method for video content summarization has been proposed by calculating the fractal dimension of frames. Summarization of the video is the first step in automatic video analysis. In this paper, we use the support vector machine (SVM) and the decision - tree to identify the shot boundary and classify them. In order to compute the fractal dimension, the numerical method has been expressed. The results of this implementation were also reported on TRECVID 2006 data collection. The results show that the relative advantage of the method presented in this paper is compared to other articles.https://ijnaa.semnan.ac.ir/article_4180_8ec6e545040457681eab4e87e8ec9980.pdfSemnan UniversityInternational Journal of Nonlinear Analysis and Applications2008-682210220191201Asia’s Cities: The way to Going Smart141152418110.22075/ijnaa.2019.4181ENHeliasadatHosseinianFaculty of Mechanics, Electrical and Computer Engineering, Science and Research Branch, Islamic Azad University, Tehran, IranHamidrezaDamghaniFaculty of Mechanics, Electrical and Computer Engineering, Science and Research Branch, Islamic Azad University, Tehran, IranLeilaDamghaniFaculty of Computer Engineering- Artificial intelligence, Kharazmi University, Tehran, IranErfanKouhiFaculty of civil engineering, Amirkabir University of Technology, Tehran, IranMahdiKouhiFaculty of civil engineering, Science and Research Branch, Islamic Azad University, Tehran, IranJournal Article20171210Asia is creating, and its urban areas are going to assume a noteworthy job in this undertaking to coordinate created partners. Asian exchange, populace, the geographic size of its urban areas and commitment to worldwide advancement will just increment in the years to come. Country settlements or immature towns are quickly changing over themselves to little towns; little towns are changing over themselves into little urban communities, and existing little urban communities are moving forward into getting to be megacities. This statistic change in the urban scene will just build the utilization of assets like land, water, clean air, sanitation, control, transport system, and security so as to endure and develop. The amount and nature of venture that Asian urban communities make today in these assets will enable them to support and continue their prospering populace later on. It is in this manner basic that urban arranging, utilization of innovation, modern vision and control procedures that are fused, work in a joint effort to make progress. Present-day megacities like Tokyo, Seoul, Beijing, Shanghai, Manila, Jakarta, Mumbai, Delhi, Karachi, Istanbul, Tehran, Moscow, and so forth have them a lot of issues.https://ijnaa.semnan.ac.ir/article_4181_8476591fd7343217c90aa97a3d8613e5.pdfSemnan UniversityInternational Journal of Nonlinear Analysis and Applications2008-682210220191201Investigation of the Effect of Concept Drift on Data-Aware Remaining Time Prediction of Business Processes153166418210.22075/ijnaa.2019.4182ENImanFirouzianFaculty of Computer Engineering and IT, Shahrood University of Technology, Shahrood, IranMortezaZahediFaculty of Computer Engineering and IT, Shahrood University of Technology, Shahrood, IranHamidHassanpourFaculty of Computer Engineering and IT, Shahrood University of Technology, Shahrood, IranJournal Article20180115Process Mining is a rather new research area in artificial intelligence with handles event logs usually recorded by information systems. Although, remaining time prediction of ongoing business instances has been always a research question in this area, most of the existing literature does not take into account dynamicity of environment and the underlying process commonly known as concept drift. In this paper, a two-phase approach is presented to predict the remaining time of ongoing process instances; in the first phase, future path of process instances is predicted using an annotated transition system with Fuzzy Support Vector Machine probabilities based on case data and in the second phase, the remaining time is predicted by summing up the duration of future activities each estimated by Support Vector Regressor. Finally, a concept drift adaptation method is proposed. To benchmark the proposed prediction method along with the proposed concept drift adaptation method, experiments are conducted using a real-world event log and a simulation event log. The results show that the proposed approach gained 13\% improvement on remaining time prediction in case of concept drift.https://ijnaa.semnan.ac.ir/article_4182_ac81fbb315620284ce01b94262718f81.pdfSemnan UniversityInternational Journal of Nonlinear Analysis and Applications2008-682210220191201Back-stepping sliding mode control Design for glucose regulation in type 1 diabetic patients167176418310.22075/ijnaa.2019.4183ENS.VakiliDepartment of Electrical Engineering, Shahrood University of Technology, Shahrood, IranH.ToosianShandizDepartment of Electrical Engineering, Ferdowsi University, Mashhad, IranJournal Article20180228This article presents a robust scheme for regulating blood glucose in the patients suffering from type I diabetes based on BMM. A pump is used to inject glucose/insulin under the patient’s skin to control its concentration. Previous studies have presented a variety of such controllers. But, they mainly suffered from long settling time. This study employs back-stepping sliding control to reduce the settling time. Since the controller presented in this study employs sliding mode control, it is robust against external disturbances. Since the back-stepping scheme is used in this design, it guarantees that the state variables of the system converge to the desired value. The results obtained from simulation verify performance of the presented scheme.https://ijnaa.semnan.ac.ir/article_4183_deb6e22cbb70f6fcb52a7f2a249b7f42.pdfSemnan UniversityInternational Journal of Nonlinear Analysis and Applications2008-682210220191201Workflow Scheduling in Cloud Computing Environment using Hybrid CSO-DA177188418410.22075/ijnaa.2019.4184ENA.PourghaffariMalek Ashtar University of Technology, Tehran, IranM.BarariMalek Ashtar University of Technology, Tehran, IranJournal Article20171215With advances in virtualization technology, cloud computing has become the most powerful and promising platform for business, academia, public and government organizations. Scheduling these workflows and load balancing to get better success rate becomes a challenging issue in cloud computing. In this paper, we used Cats and Dragonfly Optimization (CSO-DA) algorithm to balance the Load in the process of allocating resources to virtual machines in cloud computing in order to improve the speed and accuracy of scheduling. The proposed method consists of the following steps: initialization of the algorithm and cloud computing, determining the number of virtual machines and the number of tasks, implementing a dragonfly optimization algorithm for choosing the best host and implementing a cat collapse algorithm for balancing the load and Schedule tasks between virtual machines. Our experiments show that as far as run time, response time, task immigration and significant load balances are concerned, our proposed model combining cat and dragonfly optimization algorithms achieved better performance in allocating resources and load balance between virtual machines than other methods.https://ijnaa.semnan.ac.ir/article_4184_66ade6894946f1c48304c0497a74f6bd.pdfSemnan UniversityInternational Journal of Nonlinear Analysis and Applications2008-682210220191201A new representation of open information extraction in Persian language189196418810.22075/IJNAA.2019.4185ENMohammad MahdiNematollahiFaculty of Computer Engineering, Shahrood University of Technology, Shahrood, IranOmid RezaMarouziFaculty of Electrical and Robotic Engineering, Shahrood University of Technology, Shahrood, IranJournal Article20180608Open information extraction is a new technology in the text mining process which is still at the beginning and requires many attempts and considerations for improvement. These attempts includes both the representation and extraction of information. The complication and instability of language intensify the problems of the open information extraction. In this article an advanced representation of information is presented for the Persian language; a representation which can be a favorable cover for the open information extraction by identifying dependency analysis relationships. In the present article, it is tried to reach the feasibility of this representation, the representation correspondence using syntactic labeling, and plausible representation of information extraction. By making this attempts, the threshold for the information extraction goes far beyond its simple epresentation state, which is a tripple. Although this article tries to overally outline the approach of using an advanced representation of information extraction, it specifically investigates the use of this representation in QA systems.https://ijnaa.semnan.ac.ir/article_4188_534a9ae42b2b81bfb3e9f8ccda05ae0b.pdfSemnan UniversityInternational Journal of Nonlinear Analysis and Applications2008-682210220191201Some types of soft paracompactness via soft ideals197211419010.22075/ijnaa.2019.4190ENElifTuranliDepartment of Mathematics, Ege University, 35100, Izmir, TurkeyIzzettinDemirDepartment of Mathematics, Duzce University, 81620, Duzce, TurkeyOya BedreOzbakirDepartment of Mathematics, Ege University, 35100, Izmir, TurkeyJournal Article20180509In this paper, we introduce the soft $\mathcal{I}$-paracompact spaces and the soft $\mathcal{I}$-S-paracompact spaces. First, we investigate the relationships between these spaces and soft paracompact spaces. Also, we give some fundamental properties of these spaces. Finally, we prove that soft $\mathcal{I}$-S-paracompact spaces are invariant under perfect mappings.https://ijnaa.semnan.ac.ir/article_4190_67ede1d39b16787699e2f6e0ba0a0c65.pdfSemnan UniversityInternational Journal of Nonlinear Analysis and Applications2008-682210220191201Ulam-Hyers-Rassias stability for stochastic integral equations of Volterra type213225419210.22075/ijnaa.2019.4192ENVuHoFaculty of Mathematical Economics, Banking University of Ho Chi Minh City, Vietnam0000-0001-7274-6096Le SiDongFaculty of Mathematical Economics, Banking University of Ho Chi Minh City, VietnamJournal Article20190711In this paper, we study the Ulam--Hyers--Rassias stability for stochastic integral equations of Volterra type by using fixed point theorem and Pachpatte's inequality.https://ijnaa.semnan.ac.ir/article_4192_6a6e2faf5c6522d3136c41a31c5d65c0.pdfSemnan UniversityInternational Journal of Nonlinear Analysis and Applications2008-682210220191213Sequences of contractions on cone metric spaces over Banach algebras and applications to nonlinear systems of equations and systems of differential equations227254419310.22075/ijnaa.2019.18884.2040ENCristianAlecsaTiberiu Popoviciu Institute of Romanian Academy, Cluj-Napoca, RomaniaJournal Article20191007It is well known that fixed point problems of contractive-type mappings defined on cone metric spaces over Banach algebras are not equivalent to those in usual metric spaces (see [3] and [10]). In this framework, the novelty of the present paper represents the development of some fixed point results regarding sequences of contractions in the setting of cone metric spaces over Banach algebras. Furthermore, some examples are given in order to strengthen our new concepts. Also, based on the powerful notion of a cone metric space over a Banach algebra, we present important applications to systems of differential equations and coupled functional equations, respectively, that are linked to the concept of sequences of contractions.https://ijnaa.semnan.ac.ir/article_4193_6565b0af68474dc5c847c3aa8bde32ca.pdfSemnan UniversityInternational Journal of Nonlinear Analysis and Applications2008-682210220191215Quasilinear elliptic systems in perturbed form255266419410.22075/ijnaa.2019.19034.2050ENFarahBalaadichUniversity of Sidi Mohamed Ben Abdellah Faculty of Sciences Dhar El Mehraz, MoroccoElhoussineAzroulDepartment of Mathematics Faculte of Sciences Sidi Mohamed Ben Abdellah University Dhar Mehraz Fez, MoroccoJournal Article20191002In this paper, we consider the boundary value problem of a quasilinear elliptic system in degenerate form with data belongs to the dual of Sobolev Spaces. The existence result is proved by means of Young measures and mild monotonicity assumptions.https://ijnaa.semnan.ac.ir/article_4194_f3af453c02ec299431f12594f9e650a1.pdfSemnan UniversityInternational Journal of Nonlinear Analysis and Applications2008-682210220191213Some results on second transpose of a dual valued derivation267273419510.22075/ijnaa.2019.4195ENMortezaEssmailiDepartment of Mathematics, Faculty of Mathematical and Computer Science, Kharazmi University, 50 Taleghani Avenue, 15618 Tehran, IranJournal Article20180604Let $A$ be a Banach algebra and $X$ be an arbitrary Banach $A$-module. In this paper, we study the second transpose of derivations with value in dual Banach $A$-module $X^{*}.$ Indeed, for a continuous derivation $D:A\longrightarrow X^{*}$ we obtain a necessary and sufficient condition such that the bounded linear map $\Lambda\circ D^{\prime\prime}:A^{**}\longrightarrow X^{***}$ to be a derivation, where $\Lambda$ is composition of restriction and canonical injection maps. This characterization generalizes some well known results in [2].https://ijnaa.semnan.ac.ir/article_4195_d36bb72cb9e9acb7cd765a8cfcd281bc.pdfSemnan UniversityInternational Journal of Nonlinear Analysis and Applications2008-682210220191216Collaboration rate of authors in producing scientific papers in The International Journal of Nonlinear Analysis and Applications (IJNAA) during 2010 -2018275280421810.22075/ijnaa.2019.18319.2008ENRahmanMarefatKnowledge and information science Department, Semnan University, Semnan, IranMahshidSherkatolabasiehStudent of Knowledge and Information Science, Semnan University, Semnan, IranJournal Article20190727In this article, we determine the author's collaboration in The International Journal of Nonlinear Analysis and Applications (IJNAA) for the period of 2010 to 2018. The findings of this survey has shown that a total of 295 articles by 624 people were published. The average number of authors per article was 2.1. The result also denotes that according to affiliation and country, Iran, with 304 articles, ranks first amongst other countries that have papers published in IJNAA followed by India and Morocco with 66 and 45 articles respectively, in following rankings for publishing articles in IJNAA. Findings showed that only 71 articles has single author (from total of 295 articles). The average collaboration coefficient amongst authors of IJNAA is 0.4, which is considered acceptable.https://ijnaa.semnan.ac.ir/article_4218_eb4b7c3b7ccd16987235311cf1c6f530.pdf