یاسر امیری

Health monitoring and damage detection in structures is important for maintaining the safety and health of individuals as well as for dealing with economic losses. This article compares primary and secondary modal information, including the frequency values and vibration mode shapes, for health monitoring and damage detection in beams. The impact of the damage is observed as a difference between primary and secondary frequency values, as well as a difference between the coefficients of the polynomial curves. Also, the Pearson's Correlation Coefficient (PCC) between the primary and secondary modes is calculated as values other than 1 and -1 that indicate the impact of damage on the relative displacement of degrees of freedom. However, damage locations cannot be identified by curve fitting, correlation, and comparison of natural frequencies; thus, comparison of primary and secondary shapes of vibration modes was made based on determination of central curvature. It was shown that the difference between the primary and secondary curvature graphs occurs as fractures created in damaged positions and in the curvature graph of the secondary situation; hence, the damaged locations are identifiable.

Structures suffer local damages due to various reasons. If these damages are not identified, they could be aggravated by natural disasters such as earthquakes or artificial factors such as unprincipled excavations, leading to total destruction of the structure. As a result, health monitoring in structures and their elements is regarded as one of the most significant research topics in civil, mechanical, and aerospace engineering. A damage detection method is to process the time or frequency domain of structural responses. In this context, wavelet transform is one of the processing methods for both time and frequency domains, and many studies have utilized it to investigate structural health monitoring. In this paper, a comprehensive review was conducted on the published studies. Besides, damage detection was performed by considering the vibration mode shapes of a defective cantilever, which were used as wavelet-transform input signals. The diagram of the detail coefficients resulting from the wavelet analysis of the input signal presented the maximum and minimum values in the defective positions. These findings support the efficiency of using wavelet transform in damage detection. Further, the sensitivity of damage detection based on wavelet transform to the severity of damages showed that with the rise in damage severity in a location, a larger relative jump occurs in the output signal of all modes.

 Seting the strategic objectives map is considered a step to upgrade the effectiveness of company as an effective tool for aligning the strategic objectives and organizational strategies, and show the causal relationships between the strategic objectives. Drawing the strategic objectives map is done visually in the experimental space of organizations. With this method, the causal relationships between the strategic objectives in the various layers are not entirely clear, and it is unclear which the strategic objectives are interrelated. Therefore, it is essential providing an intellectual approach based on mathematics such as the Interpretive Structural Modeling for drawing the strategic objectives map. Interpretive Structural Modeling is a technique construct and understands the relationships between the elements of a complex system based on experts' opinions. The problem of this study is the uncertainty of the causal relationships between the strategic objectives in functional Levels of Iran Alloy Steel Company. Therefore, the purpose of the study is Leveling of the strategic objectives in multiple layers on the four perspectives of Balanced Scorecard in Iran Alloy Steel Company that multiple objectives are considered in each layer.

The research category in the study is applied in terms of purpose and descriptive-survey in terms of data collection method. The statistical population of the study includes 34 senior managers and experts in Iran Alloy Steel Company. In this study, the required data has been collected using library studies (documentary studies, study of domestic and foreign books and publications and search in databases) and field studies (interview and questionnaire). In the questionnaire of this study, the relationship between all the objectives in terms of how they relate and their impact on each other has been questioned. According to the 17 strategic objectives of Iran Alloy Steel Company, the number of questionnaire questions was 136. Matlab software used to draw causal relationships between the strategic objectives of the company through Interpretive Structural Modeling on the four perspectives of Balanced Scorecard in order to improve the performance of calculations and analysis.

 The findings showed the relationships between the strategic objectives are leveled in 6 layers on the Balanced Scorecard. In terms of the driving power and dependence, the objectives of “Increasing investment to complete the unfinished projects in Iran Alloy Steel Company”, and “Expansion of the interactions between steel industry and research centers” were identified as the most effective objectives which were at level 6. At level 5, there was only the objective of "IT infrastructure development" which is in the category of independent (driving) objectives. At level 4, there were two

"attracting efficient manpower" and "upgrading the performance of knowledge and information management" which are in the category of independent (driving) objectives. At level 3, there were seven

“upgrading employee's ability”, “optimal technology management”, “development of superior technologies”, “upgrading product quality”, “development of production capacities”, “sustainable supply of raw materials, items, parts and equipment” and “promotion of social performance” which are in the category of  linkage objectives. At level 2, there were two

"increasing the utilization rate of equipment" and "optimal use of assets" which are in the category of dependent objectives. Finally, at level 1, there were three

“strengthening brand in target economic markets”, “increasing customer satisfaction”, and “growing profitability” which were identified as the most dependent objectives.

According to the findings, Iran Alloy Steel Company to strengthen its infrastructure in the field of manpower and information technology, and the development and improvement of automation and information processing systems will be able to improve its internal processes, increase productivity, and while strengthening its brand in the market and attracting customer satisfaction to achieve profitability. Also, the results of this study are aligned and consistent with the logic of the four perspectives of balanced scorecard and real world in terms of the ISM model presented and the MICMAC analysis. For example, the five lower-level objectives in Interpretive Structural Modeling all include the learning and growth perspective of the Balanced Scorecard. Also, these are in the category of independent (driving) objectives in the MICMAC analysis, and are known as drivers for other objectives that the causal relationships between the objectives in the strategic objectives map are consistent with the balanced scorecard framework and the real world. In addition, the all objectives were located in three category of independent, linkage and dependent, and conflicting and autonomous objectives were not observed in results. However, the findings of this study in practice will enable Iran Alloy Steel Company to have a better understanding of the relationships of its objectives, and take conscious action to achieve objectives, and prioritize and budget them.

Due to the intensity of competition, rapid obsolescence of technologies and rapidly changing customer needs in recent years, new product development (NPD) in manufacturing industries has become a very important success factor. Hence, identifying factors that influence the success of NPD has been a central point for many researchers, each of whom has narrowly looked only at one certain aspect in it and ignoring the interconnection among different factors pertaining to it. Accordingly, the purpose of this study is to design a comprehensive process model of factors affecting NPD. To reach this end, different factors were identified after exploring previous researches using meta-synthesis and finally, a process model was designed based on interpretive structural modeling (ISM). The findings of meta-synthesis show that 29 factors affect NPD. Also, the process model suggests that these different factors fall into 12 levels, among which environmental, cultural and managerial actors are the fundamental ones and of great importance.

Security is considered as one of the main needs of mankind and it has such an important position that some people regard creating and observing security as special duty of each government. Societal security is among basic necessities of each society so that its lack or deficiency results in alarming and pestilent outputs. Accordingly، the main aim of this study is to prioritize status of societal security in Iran and to rank different provinces based on these indices. As such، not only societal security indices which require more attention are identified but provinces which do not enjoy good level of societal security will be realized so that authorities can use such information for required policy makings and planning. Thus، data related to configuration of societal security indices were extracted from statistical yearbook and prioritized using Gray Relational Analysis (GRA). Iran’s provinces were also ranked according to considered indices. Results of the study show that five indices of stealing from state centers، murdering، road accidents، arrested drug smugglers، beating، wounding and injuring are less considered in comparison with other Societal security indices and require more attention of authorities and planners; hence، they can deal with such indices in the direction of improving Societal security level of the country. Moreover، the results of ranking provinces of the country imply that five provinces of Semnan، Qom، Hamadan، Systan and Baluchestan، and Khurasan Razavi do not enjoy proper societal security and are regarded as the provinces with less societal security. Finally، some suggestions are offered for improving societal security level.

Information Technology (IT) in the present era has affected all aspects of organizations as a new strategy; therefore imagine an organization without IT and keeping abreast with new technologies seems impossible. The current research seeks to identify factors affecting the adoption of IT innovation in governmental organizations. To this end the indices affecting IT Innovation adoption have been extracted after reviewing theoretical background and categorized in 5 factors using Exploratory Factor Analysis (EFA). Also Confirmatory Factor Analysis (CFA) based on Structural Equation Modeling (SEM) has been used to investigate the relation between indices and factors. Research Findings show that indices like relative advantage & innovativeness، security & reliability، organizational culture، managerial support، socio-economic status and cooperation & coordination among organization departments play an important role in IT Innovating adoption.

Nowadays, the Internet has created a virtual world and become an incentive for universities to invest in e-learning. And in order to accomplish this, they attempt to both use and evaluate e-learning systems. We aimed to identify and rank the components for measuring the success of universities using the fuzzy network analysis approach. This applicable descriptive survey was done on the users of e-learning systems in the University of Sistan and Baluchestan as well as experts in the field of e-learning. Data were collected using related questionnaires. The reliability of questionnaire was evaluated using Cronbach's alpha for each factor separately as well as for the whole questionnaire. The total reliability coefficient of questions was 0.959. The single sample t test and fuzzy network analysis techniques were used to analyze data. Components of information quality, service quality, system quality, supporting factors, teacher characteristics, student characteristics, and environmental factors are effective in the success of e-learning systems. Moreover, information quality with the relative weight of 0.23 and environmental factors with the relative weight of 0.05 have the maximum and minimum effect, respectively. Focus on data quality and educational content, providing suitable and faster services and infrastructure facilities for e-learning systems can improve e-learning systems in universities.

Agility is considered the ability to respond quickly to changes and a major factor for success and survival in today's business. The purpose of this research is to offer a conceptual model using Interpretive Structural Modeling(ISM). To this end after reviewing literature and theoretical background, the indices related to achieving agility via information technology (IT) have been identified and then the Interpretive Structural Model in four levels has been represented. Findings show that tendency and commitment of top managers, organizational climate and strategic planning alignment with information technology planning is the major factors affecting agility achievement via information technology (IT).

The aim of this study was to compare motor skills in students with and without stuttering.

In this ex post facto, 25 students (ageing 6-11 years old) with and 25 students without stuttering were selected through an accessible sampling method. Utilizing Oseretsky Motor- Development Test, the data were collected and analyzed.

A significant difference was found between the scores of the two groups. Also, the results showed some lower skills in children with stuttering.

The findings of this study support the idea that stuttering is frequently associated with some kind of motor problems. This study authenticates the need to pay more attention to motor skills in children with stuttering.

Small and medium-sized enterprises (SMEs) play a major role in national economy. E-Business processes provide many opportunities for these companies to compete in regional and international markets. This study seeks to analyze the factors affecting e-business implementation in small and medium-sized enterprises. For this purpose, 10 factors and 61 indices were identified based on the literature review. Then, relative of importance of each factor was determined using Fuzzy Analytical Hierarchy Process (FAHP) followed by recognition of the most important indices using Fuzzy TOPSIS. Analysis showed that indicators such as; existence of Internet address, Upgraded communications systems, Management of physical and financial resources, Preparation for production, level and size of production, customer’s support systems, Customs duties, Transportation system, Development of credit cards & Organizational culture are among the most important indices.

Today the strong relationship with customers is the most important factor in successfulness of any business. Hence, the concept of customer relationship management, which means the effort to create and deliver value to customers, has been highly considered. This study seeks to examine the factors affecting customer relationship management implementation in Insurance Corporates. To that end, the theoretical framework have been discussed first and after designing research questionnaire whose validity and reliability have been endorsed, data has been gleaned from the population, namely managers and experts of Insurance Corporates in the city of Shiraz. The study concluded that the four factors of key customer focus, knowledge management, modern technology and business process organizing affect successful implementation of customer relationship. In addition, it was determined that business process organizing needs more attention than other factors

In organizations with a rigid structures, according to modern management views, existence of cumbersome rules and restrictions and the disturbances caused by the restrictions and also lack of compliance with environmental changes, will result in more corruption. Because of the impact of organizational structure on corruption, the purpose of this study is to investigate the relationship between organizational structure and the level of corruption in the selected public executive agencies in the city of Shiraz. The research method in its aim is practical and the used plan is descriptive-correlation. The population of research was 3000 employees of the elected the executive agencies in Shiraz in 1389, from which 340 have been elected by random class sampling. The instruments of collecting data include two questionnaires: one on the organizational structure consists of 20 items and the other on corruption with 21 items. The research reached to the conclusion that there is a meaningful correlation between organizational structures and civil service corruption, so that the dimension of corruption in organizations with mechanical structures is wider. It was also found that there is a direct correlation among organizational structure and inappropriate professional behavior, the dimension of discrimination and lashes. However, we did not observe any meaningful relationship between organizational structures, on the one hand and abuse and fabricated actions on the other.

The productivity of production factors is an important criterion evaluating the influence of an industrial activity in view of achieving relative advantages at national and even international levels. This study seeks to identify the most significant influential elements affecting industrial development in the light of offering guidelines to relevant officials to adopt more accurate policies for the industrial sector. The data in this research consist of five elements, which is called ISIC-based input, output, value-added, employees and investment. The data has been provided by the National Statistics Center of Iran for the 2000-2005 periods – the third five-year recovery plan. The data are put to analysis through numerical taxonomy in order to measure the developability of industrial productivity. The results indicate that throughout this period, production of coke coal, oil refineries, … (Code 23) have been the most developable while tanning and leather industries and production of suitcases, briefcases, … (Code 19) have been the least developable.

The main aim of this research is to survey deeply into the Quality of electronic services offered by a selected group of state-owned banks in Fars province by using BSC and FUZZY logic theory and to give some solutions to improve their services. Therefore, the factors for assessing the electronic services were identified in research literature and were locate in BSC approach according to the experts’ points of view. In view of existence of interaction between BSC dimensions and various aspects of electronic services and in order to understand the significance of factors, the FUZZY ANP technique was implemented. Probing the performance and significance of electronic services’ factors simultaneously, claims that 9 out of 38 final factors are critical. In order to improve the performance of the banks, 20 solutions proposed by the experts were ranked. The ranking was conducted based on the effectiveness of the solutions on improving critical factors using fuzzy TOPSIS techniques. The solution which has been ranked first is the measurement of work progress in accordance with the State Vision Document under a constant and continuous supervision on e-banking projects implementation processes.