Entropy

Open Access Article

1 - The trend of urban development with geographical foothold (Case Study: Municipality, District13)
Somayeh Sadat Sajjadi abbas arghan Zaenab karkah Abadi

This study examines two important geographic footprint in layer management and sustainable urban development and urban planning.Methods of collecting and gathering information from the library, field work and questionnaires were used. This descriptive study, explain and More

This study examines two important geographic footprint in layer management and sustainable urban development and urban planning.Methods of collecting and gathering information from the library, field work and questionnaires were used. This descriptive study, explain and through the geography footprint (ecological) for determining the safety of the urban population ) District 13 ( . The results show that the ecological footprint area of 1.913 hectares per person per year, This means that this area 1.376 times more than their share of ecologically sustainable capacity allocated The results of this study corroborates the notion that their needs for sustainable security in the region 13 to meet the needs of other regions is Tehran And the other regional development patterns, according to calculations by Gini coefficients of inequality and relative entropy and Shannon somewhat scattered and uneven distribution of population in urban areas it is evident. Manuscript profile

Open Access Article

2 - The Evaluating of Spatial Distribution of Population and Services in Urban Zones of Tabriz
Rahim Sarvar

Today one of the most important issues in urban planning, discussion of balanced and proportionate development in cities having a population of urban services is appropriate. The urban planners to collect and analyze local and spatial data and reflect the results to u More

Today one of the most important issues in urban planning, discussion of balanced and proportionate development in cities having a population of urban services is appropriate. The urban planners to collect and analyze local and spatial data and reflect the results to urban managers are trying in achieving this goal is the distribution of urban facilities and services will lead to a way that will benefit all social groups in society and lead to social and spatial justice in cities. This study aimed to investigate the relationship between population distribution and the distribution of urban services in urban regions, 37 urban regions of Tabriz and evaluation its urban areas and its population; the civil service has been made. In this study, to assess the distribution of population of the relative entropy model and to assess distribution of services have been used TOPSIS model. The method of this study is descriptive-analytical. The results of entropy model indicates that the distribution of population is proportionate in Tabriz; Also, the evaluation results the distribution of urban services in urban regions indicate that regions of zone 9,10 Tabriz which have the lowest utility and region 1 of zone 2 and zone 3 in the TOPSIS model are having the greatest enjoyment of civil service. Also, the evaluation results correlation between population rank and to its impact on the enjoyment of civil service pay, by using of the Spearman model about (0.4991) shows a high correlation between population rank and access to urban services exist. Manuscript profile

Open Access Article

3 - Survey analysis Yazd physical parameters

Historic District Heritage Cities is worthwhile over time in identifying the paced urban life has played a special role. Therefore, the role and effects of urban management in historic cities is crucial planning. Therefore, given the importance of this paper is to analy More

Historic District Heritage Cities is worthwhile over time in identifying the paced urban life has played a special role. Therefore, the role and effects of urban management in historic cities is crucial planning. Therefore, given the importance of this paper is to analyze the development of physical-physical areas of urban management in Yazd will pay. Among the objectives of the present study is applied research. And in terms of the importance of research and study, it is kind. Method library (October, theses, documents, papers, internet, etc.) to collect data in addition to the situation described and discussed issues and problems that are related to the use of quantitative and qualitative data about you is. Shannon entropy model for weighting indices have been investigated and models for ranking Vaspas. . According to the findings of this research suggest that three areas of the city of Yazd historical and worn out tissues because of the weak is the physical parameters. this study to rank and compare all the three regions according to physical parameters and their causes and proposed solutions to be explored. Surveys show that the region has the third ranked first due to historical Frsvh tissue is less, then the next two and a they taken Ratings. Manuscript profile

Open Access Article

4 - Investigation of Gilan index dams' water quality using multivariate methods
Hanieh Mirbolooki Babak Razdar Matin Mohafezatkar

10.29252/.5.8.25

Nowadays, the importance of water is known more than before as a life factor and the axis of sustainable development that to protect and manage it, it needs to be controlled using laboratory tests and various water quality indexes. The purpose of this study was to inves More

Nowadays, the importance of water is known more than before as a life factor and the axis of sustainable development that to protect and manage it, it needs to be controlled using laboratory tests and various water quality indexes. The purpose of this study was to investigate water quality in diversion dams in Guilan province in which the dams have been ranked using Shannon and TOPSIS entropy methods. The dams included Pasikhan, Shakhzar, Polrud and Tarik and the measured indicators included Ec, pH, TDS, Temperature, SO4, HCO3, Cl, Ca, Mg, Na, TSS, DO, BOD5 and COD. Shannon entropy results showed that among the indicators, the highest index weight is related to TSS with the amount of 0.1973 and the lowest one is related to pH with the amount of zero. Topsis tests results showed that based on the weights derived from entropy and water quality indicators, Pasikhan dam is in the first rank, Polrud dam is in the second rank, Shakhzar dam is in the third rank and Tarik dam is in the last rank. So, according to multivariate selection methods, water quality in different dams with similar conditions can be investigated. Manuscript profile

Open Access Article

5 - Security Analysis of Scalar Costa Scheme Against Known Message Attack in DCT-Domain Image Watermarking
Reza Samadi Seyed Alireza Seyedin

10.7508/jist.2014.04.006

This paper proposes an accurate information-theoretic security analysis of Scalar Costa Scheme (SCS) when the SCS is employed in the embedding layer of digital image watermarking. For this purpose, Discrete Cosine Transform (DCT) coefficients are extracted from the cove More

This paper proposes an accurate information-theoretic security analysis of Scalar Costa Scheme (SCS) when the SCS is employed in the embedding layer of digital image watermarking. For this purpose, Discrete Cosine Transform (DCT) coefficients are extracted from the cover images. Then, the SCS is used to embed watermarking messages into mid-frequency DCT coefficients. To prevent unauthorized embedding and/or decoding, the SCS codebook is randomized using the pseudorandom dither signal which plays the role of the secret key. A passive attacker applies Known Message Attack (KMA) on the watermarked messages to practically estimate the secret key. The security level is measured using residual entropy (equivocation) of the secret key provided that the attacker’s observations are available. It can be seen that the practical security level of the SCS depends on the host statistics which has contradiction with previous theoretical result. Furthermore, the practical security analysis of the SCS leads to the different values of the residual entropy in comparison with previous theoretical equation. It will be shown that these differences are mainly due to existence of uniform regions in images that cannot be captured by previous theoretical analysis. Another source of such differences is ignoring the dependencies between the observations of non-uniform regions in previous theoretical analysis. To provide an accurate reformulation, the theoretical equation for the uniform regions and the empirical equation for the non-uniform regions are proposed. Then, by combining these equations a new equation is presented for the whole image which considers both host statistics and observations dependencies. Finally, accuracy of the proposed formulations is examined through exhaustive simulations. Manuscript profile

Open Access Article

6 - Confronting DDoS Attacks in Software-Defined Wireless Sensor Networks based on Evidence Theory
Nazbanoo Farzaneh Reyhaneh Hoseini

10.52547/jist.9.33.25

DDoS attacks aim at making the authorized users unable to access the network resources. In the present paper, an evidence theory based security method has been proposed to confront DDoS attacks in software-defined wireless sensor networks. The security model, as a secur More

DDoS attacks aim at making the authorized users unable to access the network resources. In the present paper, an evidence theory based security method has been proposed to confront DDoS attacks in software-defined wireless sensor networks. The security model, as a security unit, is placed on the control plane of the software-defined wireless sensor network aiming at detecting the suspicious traffic. The main purpose of this paper is detection of the DDoS attack using the central controller of the software-defined network and entropy approach as an effective light-weight and quick solution in the early stages of the detection and, also, Dempster-Shafer theory in order to do a more exact detection with longer time. Evaluation of the attacks including integration of data from the evidence obtained using Dempster-Shafer and entropy modules has been done with the purpose of increasing the rate of detection of the DDoS attack, maximizing the true positive, decreasing the false negative, and confronting the attack. The results of the paper show that providing a security unit on the control plane in a software-defined wireless sensor network is an efficient method for detecting and evaluating the probability of DDoS attacks and increasing the rate of detection of an attacker. Manuscript profile

Open Access Article

7 - Identifying and Ranking the Factors of E-Readiness Assessment for SMEs to Enter the E-Commerce Market
Abbas Toloie Eshlaghy Farshid Farokhizadeh Reza Radfar Naghi Shoja

10.7508/jstpi.2018.03.003

During the last decade, the key role of information and communication technology has proven to facilitate the process of transition and change of organizations; The e-readiness is the platform for entering into the modern time and activities in the networked world ad we More

During the last decade, the key role of information and communication technology has proven to facilitate the process of transition and change of organizations; The e-readiness is the platform for entering into the modern time and activities in the networked world ad well as competition in the market. Thus, the design of e-readiness evaluation models, regarding the internal and environmental conditions of organizations and communities with the purpose of assessing their e-readiness level is necessary. However, without the evaluation of e-readiness of the organization, activity in the networked world will be impossible and have very high obstacles. In this paper, a brief introduction of the proposed models for the evaluation of the e-readiness and their classification have been discussed. Moreover, the factors influencing the e-readiness of the small and medium-sized enterprises to enter the e-commerce market have been investigated and detected through a combination approach of Shannon entropy. In this paper, after identifying and introducting existing models; the concepts, dimensions, and indices of the research were extracted and ranked by the Shannon entropy method. The results of this study show that the first ranked factors were organizational factors. Then environmental and man power factors were ranked second and third, respectively. Manuscript profile

Open Access Article

8 - Investigating and Explaining the Key Factors of IT Effectiveness in the Organization with Shannon Extra-Combination-Entropy Approach
Farshid Farokhizadeh Abbas Ali Rastgar

10.52547/jstpi.20972.18.69.55

Today, the adoption of new information technology is one of the challenges in public sector organizations, which is less considered. The purpose of this study is to identify and rank the factors affecting the acceptance of information technology in public sector organiz More

Today, the adoption of new information technology is one of the challenges in public sector organizations, which is less considered. The purpose of this study is to identify and rank the factors affecting the acceptance of information technology in public sector organizations during the Corona virus epidemic in order to provide better services and products without face-to-face referral to the clients / customers. In this resech, which is based on a combined approach, we use the existing information and documents as data. The statistical population of the study is 10 governmental organizations located in Alborz province.. In this article, in addition to introducing the proposed models for information technology acceptance and their classification, the effective factors in accepting new information technology in the studied government organizations to provide better services and products with the combined approach of transnational and Shannon entropy have been studied and identified. In this paper to determine these factors after identifying and introducing the types of existing models; Concepts, dimensions and indicators of the research have been extracted using the meta-combination method and ranked using the Shannon entropy method. The research results indicate that cooperation and coordination, environmental factors in technology acceptance, organizational factors, managerial factors, and human capital factors are in the first to fifth places respectively. Manuscript profile

Open Access Article

9 - A New Approach Based on Failure Mode and Effects Analysis and Kepland to Extract and Prioritize the Effective risks on Project Completion Time
mojtaba salehi

Abstract Projects are planned based on estimated amounts that are the result of having little information about the future plans. According to the uncertainty of planning, time delays and costs of uncertainty are inevitable. The main objective of this study is to prese More

Abstract Projects are planned based on estimated amounts that are the result of having little information about the future plans. According to the uncertainty of planning, time delays and costs of uncertainty are inevitable. The main objective of this study is to present a new approach based on failure mode and effects analysis and fuzzy logic to identify the affecting risks on duration of projects and ranking them using Kepland technique. In addition, in this research Shannon entropy is used for calculation of the weights of indexes. So after the study of related researches as well as through interviews and Delphi technique, some risks were identified. Then, based on three indicators of risk in the FMEA (severity, probability of occurrence, probability of detection), three questionnaire was prepared and their validity was confirmed by experts and reliability was calculated by Cronbach coefficient using SPSS software. The population of the study is 22 managers and experts that work on Debal Khazaei Company. Using triangular fuzzy numbers, the verbal variables of questionnaires became fuzzy numbers. Shannon entropy is used for calculation of weight of each index. Then, using decision making methods, ELECTRE TAXONOMY, TOPSIS and SAW, the risks are ranked. Finally, because of the relative difference of ranking in different techniques, Kapland technique is used to combine the results. TO help for developing the strategies of responding to the risks, some suggestions are presented. The contribution of this research is the simultaneous use of FMEA and Shannon's entropy to analisys the importance of risks and the ranking of them using Kepland technique. Manuscript profile

Open Access Article

10 - Performance Evaluation and Ranking of Iranian Insurance Companies by Using Balanced Score card, Shannon Entropy Weighting Method and Grey VIKOR approach
vafa mousavi mohammad hasan kamfiroozi

Performance evaluation is a fundamental necessity in facing and coping with changes and continuous improvement activities. Insurance companies to determine your current position and survive and thrive in today's competitive world must continually methods and models to a More

Performance evaluation is a fundamental necessity in facing and coping with changes and continuous improvement activities. Insurance companies to determine your current position and survive and thrive in today's competitive world must continually methods and models to assess and improve their performance and activities of the organization are ongoing. The aim of this study is to evaluate the performance of insurance companies based on Shannon's weighting entropy and the ranking method is done according to grey VIKOR technique address. The performance evaluation is conducted based on the Balanced Score card method. Moreover, instead of using the linguistic variables and absolute numbers we will use grey numbers Tuesday parameterization. Grey VIKOR is a one of the most developed approaches of multi-criteria decision making under uncertainty conditions. Furthermore, the actual weights based on the concept of objective to regulate the mental weights of Shannon entropy can be used by the decision-makers. The current study has been worked on five insurance companies. According to the data gathered from the questioners the quantity value of the insurance companies has been calculated based on the final weights resulted from Shannon's weighting entropy and the grey VIKOR method. The results revealed that MELLAT insurance company obtained the highest value of (0.9334) and the lowest value (0) belongs to Dana insurance company. Accordingly, Dana Insurance is ranked in the first position, Iran Insurance the second, Alborz Insurance the third, Asia Insurance the fourth and MELLAT insurance the fifth. Manuscript profile

Open Access Article

11 - Study of Environmental Indicators of Performance Excellence Model (EFQM) in Steel Industry with Using Meta- Synthesis qualitative approach
omid golshan tafti Seyed Haidar Mirfakhradini

Given the increasing regulation and requirements of governments and the general public's awareness of environmental protection in the present age, organizations seeking to preserve their survival cannot ignore environmental issues. Given the environmental pollution that More

Given the increasing regulation and requirements of governments and the general public's awareness of environmental protection in the present age, organizations seeking to preserve their survival cannot ignore environmental issues. Given the environmental pollution that is present in the steel industry, ways of assessing and addressing environmental problems and reducing pollution must be reviewed. The purpose of this study was to identify the environmental indicators of performance excellence model in the steel industry using a Meta- Synthesis qualitative approach. Using a Meta- Synthesis sample of 40 articles, the research sample was identified and content analysis, categories, concepts and codes extracted. The Shannon entropy method was determined. The results of data analysis showed that EFQM environmental performance excellence model environmental indicators related to green leadership (3 components), green strategy (5 components), green staff (3 components), partnerships and green resources (5 components), processes, products and green services (8 components), customer green results (2 components), employee green results (4 components), community green results (3 components) and business green results (3 components) are the most important environmental factors in the steel industry are considered. Indicators such as adhering to environmental policies, green process planning, and use of up-to-date technologies, staff training, and recycling are the most important factors in implementation. Manuscript profile

Open Access Article

12 - Outlier Detection in High Dimensional Data Using Entropy-Based Locally Relevant Subspace Selection
Mahboobeh Riahi Madvar Ahmad Akbari B. Nasersharif

One of the challenges of high dimensional outlier detection problem is the curse of dimensionality which irrelevant dimensions (features) lead to hidden outliers. To solve this problem, some dimensions that contain valuable information to detect outliers are searched to More

One of the challenges of high dimensional outlier detection problem is the curse of dimensionality which irrelevant dimensions (features) lead to hidden outliers. To solve this problem, some dimensions that contain valuable information to detect outliers are searched to make outliers more prominent and detectable by mapping the dataset into the subspace which is constituted of these relevant dimensions/features. This paper proposes an outlier detection method in high dimensional data by introducing a new locally relevant subspace selection and developing a local density-based outlier scoring. First, we present a locally relevant subspace selection method based on local entropy to select a relevant subspace for each data point due to its neighbors. Then, each data point is scored in its relevant subspace using a density-based local outlier scoring method. Our adaptive-bandwidth kernel density estimation method eliminates the slight difference between the density of a normal data point and its neighbors. Thus, normal data are not wrongly detected as outliers. At the same time, our method underestimates the actual density of outlier data points to make them more prominent. The experimental results on several real datasets show that our local entropy-based subspace selection algorithm and the proposed outlier scoring can achieve a high accuracy detection rate for the outlier data. Manuscript profile

Open Access Article

13 - recognition and rankings of the competencies of the strategic managers of khorasan behzisti (shannon entropy analysis)
kazem Nasirpour Moslem Cherabin Ahmad Akbari Davoud Kaveh

10.52547/istd.31358.8.28.218

Because there is no standard list of competencies, various organizations, companies and institutions, ministries and government agencies around the world all define a framework for their expected competencies, depending on their circumstances and needs. The aim of this More

Because there is no standard list of competencies, various organizations, companies and institutions, ministries and government agencies around the world all define a framework for their expected competencies, depending on their circumstances and needs. The aim of this study was to identify and rank the competencies of strategic managers of Khorasan Razavi Welfare Organization. The research method is mixed exploration (qualitative-quantitative) which in the qualitative part is content analysis and in the quantitative part is a survey. Statistical sample In the qualitative section, 15 faculty members in the field of management were selected by theoretical sampling method and in the quantitative section, 12 professors working in Khorasan Razavi universities were selected by random sampling method. The method of analyzing the interview data has been selected in the qualitative part, the network of topics and in the quantitative part of Shannon entropy analysis. Findings of the research in the qualitative section include 25 organizational themes in the form of 4 comprehensive themes (individual, strategic, organizational and leadership) and the results of the quantitative section showed that strategic competence was identified as the most important and individual competence as the least important indicator. According to the research findings, it can be said that the identified components can be considered to assess the competence of strategic welfare managers Manuscript profile

Open Access Article

14 - Using information entropy theory and bayesian decision method to identify appropriate parameters for evaluating and discriminating oil facies (mansuri oil field, south of Iran)
حسین معماریان

Due to subsurface heterogeneity and existing vagueness in geophysical interpretation, identifying and interpretation of facies in wellbores is always prone to uncertainty and risk. Nowadays several methods have developed for quantitative facies interpretation. These met More

Due to subsurface heterogeneity and existing vagueness in geophysical interpretation, identifying and interpretation of facies in wellbores is always prone to uncertainty and risk. Nowadays several methods have developed for quantitative facies interpretation. These methods are generally divided into deterministic and stochastic categories. Deterministic methods, in spite of their simple modeling procedure, cannot expose the amount of error or accuracy of the model. On the other hand, stochastic methods, in addition to quantifying the error of the model, can provide the probability of the model’s accuracy in each point of the reservoir. The Bayesian approach is one of the stochastic methods that use conditional probabilities for modeling. This approach, as well as probabilistic modeling of hydrocarbon facies, quantitatively computes the effect of additional data in decreasing the error of the classification. Information entropy theory, by quantifying the intrinsic uncertainty in each model input parameter, can easily provide the selection of valuable parameters. The present study was carried out on one of the wells of Mansuri oil field, south of Iran. After generation of training data by using rock physics techniques and Gassmann’s relation, the value of each input parameter was identified by entropy analysis. Then, by use of Bayesian analysis and valuable parameters, oil facies classification and discrimination was implemented. The five optimum parameters were elastic impedance, compressional wave velocity, shear wave velocity, density and porosity .The amount of error in this method is approximated to be 11 percent. This investigation also showed that gamma ray parameter does not have a drastic positive effect on identification and discrimination procedure of oil facies, which has a good agreement with the results of entropy analysis . Manuscript profile

Open Access Article

15 - Analysis of Factors Affecting the coopetition of Start-ups in the Entrepreneurial Ecosystem Using a Meta syntheses Approac
Mohammad talari fatemeh keshavarzi

Growth and survival is one of the most important challenges for start-ups in the current situation. On the one hand, the coopetition strategy in the last two decades in order to gain, maintain and improve the competitive position has been considered by many businesses. More

Growth and survival is one of the most important challenges for start-ups in the current situation. On the one hand, the coopetition strategy in the last two decades in order to gain, maintain and improve the competitive position has been considered by many businesses. Start-up can gain a good coopetition position in many areas by using a competitive strategy. So far, research has not examined the factors that are involved in the implementation of a coopetition strategy in start-up. In this method, in order to explain the factors affecting the application of the coopetition strategy, first by systematic review of the literature and using the method of meta-synthetic qualitative research, all dimensions of the coopetition strategy were identified. Then the importance and priority of each of the proposed factors is determined using the Shannon quantitative entropy method. After analyzing the articles, the effective factors were classified into 6 categories, 16 dimensions and 68indicators. The results showed; The most important categories are "institutional factors", "strategic factors", "environmental factors","individual-managerial factors","participatory factors","communication factors" respectively. Among the dimensions, " Events " were in the first place, " Supporting institutions ," and " Good reputation of the company " and , "Having coopetitive mindset " were in the second ,third and Fourth places. This study provides a deep understanding of the existing literature on coopetition strategy in start-ups by organizing the factors affecting it and can be used in planning for their growth and survival in complex and dynamic market conditions to compete with other businesse Manuscript profile

Open Access Article

16 - Proposing a Detection and Mitigation Approach for DDoS Attacks on SDN-Based IoT Networks
fatemeh MotieShirazi Seyedakbar Mostafavi

Internet of Things (IoT) is a network of objects on which objects can communicate with other objects. The Internet of Things is currently constantly under numerous attacks due to technical, legal and human problems. One of the most important of these attacks is the Deni More

Internet of Things (IoT) is a network of objects on which objects can communicate with other objects. The Internet of Things is currently constantly under numerous attacks due to technical, legal and human problems. One of the most important of these attacks is the Denial of Service (DoS) attack, in which normal network services are out of service and it is impossible for objects and users to access the server and other resources. Existing security solutions have not been able to effectively prevent interruption attacks in Internet of Things services. Software-oriented network (SDN) is a new architecture in the network based on the separation of the control and data plane of the network. Programmability and network management capability by SDN can be used in IoT services because some IoT devices send data periodically and in certain time intervals. SDN can help reduce or prevent the data flood caused by IoT if properly deployed in the data center. In this article, a method to detect DDoS attacks in Internet of Things based on SDN is presented and then an algorithm to reduce DDoS attacks is presented. The proposed method is based on the entropy criterion, which is one of the most important concepts in information theory and is calculated based on the characteristics of the flow. In this method, by using two new components on the controller to receive incoming packets and considering the time window and calculating entropy and flow rate, a possible attack is detected in the network, and then based on the statistics of the flow received from the switches, the certainty of the attack is determined. Compared to the existing methods, the proposed method has improved 12% in terms of attack detection time and 26% in terms of false positives/negatives. Manuscript profile

Open Access Article

17 - Designing a model for reducing the behavioral entropy of justice administration employees, focusing on the three-pronged model
Maryam Gholizadeh Mohammad Ali Sarlak Ebrahim Mehranfar

Changing employee behavior is a common challenge for many organizations. When employees deviate from expected behavior, it can be seen as a form of human behavioral entropy, making it difficult to predict their actions. Entropy is a degree of disorder in any system th More

Changing employee behavior is a common challenge for many organizations. When employees deviate from expected behavior, it can be seen as a form of human behavioral entropy, making it difficult to predict their actions. Entropy is a degree of disorder in any system that increases over time according to the second law of thermodynamics. Disturbances may also occur in human behavior when human behavior goes out of stability and moves towards instability, which can be called entropy in behavior. With the appearance of entropy in the behavior of employees, it becomes difficult for managers to control their behavior and the possibility of any behavioral problems in the organization is obvious. Understanding the underlying causes of these behaviors can help prevent problems within organizations. This study is focused on developing a model to reduce employee behavioral entropy within the justice administration system. The research is qualitative in nature, with a statistical population consisting of experts with relevant experience in the field. The research sample was selected using purposive sampling. Qualitative data was collected through interviews and analyzed using thematic analysis. The results of the analysis identified background factors (economic, legal, social, political, and technological), behavioral factors (personality, professional ethics, job passion, impression management, and job satisfaction), and structural factors (structural and process, leadership, work rules and regulations, cultural and educational) as organizing categories and basic categories in the design of the model, focusing on a three-pronged approach to reducing justice administration employee behavioral entropy. Manuscript profile

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