امروزه فراتر از نظریه‌های کلاسیک مالی/رفتاری، علم بیوریتم به عنوان مجموعه ای از علل عاطفی؛ ادراکی و حتی جسمی، مبنایی برای تصمیم‌گیری‌های مالی و سرمایه‌گذاری می‌تواند تلقی گردد. در واقع این علم براساس یک نمودار سینوسی حالت فرد را با توجه به قرار گرفتن فرد در یکی از نقاط مثبت؛ منفی و بحرانی نشان می‌دهد که بر تصمیم‌گیری‌های فردی می‌تواند موثر تلقی گردد. هدف این پژوهش ارزیابی تفاوتِ تناوب‌های درونی بیوریتمیک سرمایه‌گذاران با تشکیل پرتفوی براساس سهام ارزشی می‌باشد. این پژوهش در بازه زمانی ۶ ماه به‌طور منفصل و ۲ ماه در قالب ۴ بازه زمانی ۱۵ روزه به منظور بررسی تفاوتِ تناوب‌های درونی بیوریتمیک سرمایه‌گذاران نهادی انجام شد. در این پژوهش تعداد ۶۰ نفر از سرمایه‌گذاران نهادی که در قالب ۴ گروه ۱۵ نفر به منظور قرار گرفتن در سه سیکل بیوریتمی جسمی؛ عاطفی و ذهنی انتخاب و از طریق آزمون‌های مانوا چند متغیره، تحلیل واریانس اندازه‌های مکرر و همچنین آزمون‌های تعقیبی مورد بررسی قرار گرفتند. ابزار پژوهش برای سنجش تشکیل پرتفوی سهام ارزشی، نسبت ارزش دفتری به ارزش بازار و تفکیک سهام شرکت‌ها به دو بخش رشدی و ارزشی بود و برای سنجش قرار گرفتن تناوب‌های درونی بیوریتمیک سرمایه‌گذاران از نرم‌افزار بیوریتم () در سیستم عامل اندروید و ای او اس () استفاده شد. نتایج نشان داد، سرمایه‌گذارانی که در دوره ی تناوبی ذهنی و عاطفی در منطقه مثبت قرار دارند، نسبت به سرمایه‌گذارانی که در در منقطه منفی و بحرانی قرار دارند، جهتِ تشکیل پرتفوی بیشتر تمایل به استفاده از سهام ارزشی دارند. پرونده مقاله

زمینه و هدف: امروزه با رشد و پیشرفت جوامع، افزایش آلایندگی‌های زیست محیطی نه به عنوان یک دغدغه جهانی امروز، بلکه به عنوان یک معضل آتی بسیار مورد توجه می‌باشد و برمبنای آن افزایش سطح کارکردهای سبز در حوزه‌های مختلفی از حسابداری تا تولید و زنجیره تامین و ... را به عنوان یکی از مهمترین رویکردهای راهبردی در این زمینه می‌توان موردتوجه قرار داد . هدف این پژوهش ارزیابی اثربخش‌ترین پیامدهای استراتژیک حسابداری سبز براساسِ کارکردِ گزارشگریِ پایدار می‌باشد. روش بررسی: در این پژوهش به منظور شناسایی مولفه‌ها (پیامدهای استراتژیک حسابداری سبز) و گزاره‌های پژوهش (مضامینِ کارکردِ گزارشگریِ پایدار) از غربالگری نظری براساس پژوهش‌های مشابه استفاده شد. سپس به منظور تعیین پایایی مولفه‌ها و گزاره‌های پژوهش از طریقِ مشارکتِ ۱۲ نفر از متخصصان و خبرگان رشته حسابداری و مدیریت مالی، از تحلیل دلفی استفاده شد. در بخش کمی مولفه‌ها و گزاره‌های شناسایی‌شده در قالب پرسشنامه‌های ماتریسی، توسط ۱۷ نفر از مدیران ۵۰ شرکت برتر در سال ۱۳۹۸ مورد ارزیابی تحلیل تفسیری قرار گرفتند. یافته ها: نتایج پژوهش نشان داد، گزاره‌ی مسئولیت‌گرایی پایدار به عنوان تاثیرگذارترین مضمونِ کارکردِ گزارشگریِ پایدار سببِ اثربخشی پیامدِ ارزشی در حسابداری سبز می‌گردد. این نتیجه نشان می‌دهد، با توسعه‌ی ابعادِ مسئولیت پذیریِ اجتماعیِ در گزارشگری پایدار، سطحِ ارزش های فراگیر در کارکردهای ارزشی حسابداری سبز تقویت می‌گردد و باعث ایجاد اعتماد و اطمینان به عملکردهای شرکت می‌شود. بحث و نتیجه گیری: نتیجه‌ی انجام تحلیل‌ها در بابِ هدف اول و براساس انجامِ تحلیل تفسیری وزنیِ هریک از مولفه‌ها و گزاره‌ها مشخص شد، شاخص‌ترین گزاره‌ی کارکردِ گزارشگریِ پایدار، مضمونِ اجتماعی‌گراییِ پایدار می‌باشد. از طرف دیگر همسو با هدف اصلی پژوهش، یعنی تعیینِ اثربخش‌ترین پیامدهای استراتژیک حسابداری سبز براساسِ کارکردِ گزارشگریِ پایدار نتایج مشخص ساخت، تحتِ وجود اجتماعی‌گراییِ پایدار، اثربخش‌ترین پیامدِ استراتژیکِ حسابداری پرونده مقاله

The purpose of this study is to evaluate the most effective strategic implica-tions of green accounting based on the function of sustainable reporting. In this study, theoretical screening based on similar studies was used to identify the components (strategic consequence of green accounting) and research propositions (themes of sustainable reporting function). Then, in order to determine the reliability of research components and propositions through the participation of 12 experts and experts in the field of accounting and financial management, Delphi analysis was used. In the quantitative part, the identified components and propositions in the form of matrix questionnaires were evaluated by interpretive analysis by 17 managers of the top 50 companies in 2009. The results showed that the proposition of sustainable responsibility as the most influential theme of the sustainable reporting function causes the effectiveness of the value consequence in green accounting. This result shows that by developing the dimensions of social responsibility in sustainable reporting, the level of inclusive values in the value functions of green accounting is strengthened and builds trust and confidence in the company's performance. پرونده مقاله

Saving energy in various sections of the building and improving productivity in the face of energy crisis and environmental pollution can be one of the main challenges in the world and our country. In this paper, based on the necessity of controlling and minimizing energy consumption by considering the maximum optimal temperature conditions in different areas of the building, a control method based on the predictive controller is used, which takes into account the effects of the time of use for sources. The predictive controller predicts the optimal control input for future moments according to the definition of the cost function based on the ambient temperature error and the weighted expression of the control input. In this paper, the issue of optimization is thoroughly studied, evaluated, and simulated. The temperature change model in buildings and the proposed control scheme are implemented in MATLAB software and the system is simulated using the building environment. The simulation is performed under several different scenarios of time of use and conditions to show the performance of the proposed design. Based on the results of the proposed control method, the accuracy and performance of the model in different scenarios of building conditions are acceptable. پرونده مقاله

In this study, single-phase current sensor Fault-Tolerant Control (FTC) for Three-Phase Induction Motor (TPIM) drives using a flux observer is proposed. In the proposed FTC scheme, a 3rd difference operator executes the Fault Detection (FD) task and the reconstruction of the faulted current is achieved through a flux observer. The presented FTC system is able to switch TPIM drive systems from normal mode to the faulty mode suitably. The proposed method in this study can be utilized in many industries particularly in electric vehicles, medical devices, and aerospace where TPIM drive systems are needed to continue the desired operation even during fault situations. The effectiveness of the proposed FTC system is confirmed by experiments on a 0.75kW TPIM drive platform. پرونده مقاله

This research investigates a simple method for Direct Rotor Field-Oriented Control (DRFOC) of star-connected 3-Phase Induction Motor (3Ph IM) drives under Single-Phase Open Fault (SPOF). The proposed control scheme includes a modified RFOC strategy in cooperation with a flux linkage observer. Most studies on this topic are intended for Indirect Rotor Field-Oriented Control (IRFOC), and hence are not appropriate at low speed operation due to using a pure integration for the flux angle calculation. To this end, a rotor flux linkage observer is designed which alleviates the speed and torque ripples of the faulty motor during low speed operation. The observer is capable of estimation of the rotor flux during healthy and SPOF conditions by only some modifications in the 3Ph IM parameters. The proposed DRFOC approach is tested under different conditions and the effectiveness of the proposed system is confirmed by experimental results. The results show the good fault tolerant capability and tracking performance of the proposed controller during different speeds. پرونده مقاله

Rehabilitation robots are very popular because they are beneficial tools in helping stroke patients and people with physical disabilities, so controlling them to get accurate performance is necessary. This paper presents a new super-twisting controller based on the determined gain with the TLBO algorithm (STA-TLBO) for an upper limb rehabilitation robot for the first time. One of the most important parts of designing the super twisting algorithm (STA) controller is determining the gains, which requires accurate calculations and obtaining disturbance. In this paper, the Teaching–Learning-Based Optimization (TLBO) algorithm is used to obtain the gains of the STA controller. To illustrate the validity of the proposed controller, the results are compared to PID, STA, and PID-TLBO controllers. The results indicate that the proposed controller ensures accurate tracking, finite-time convergence, and reduced chattering. The stability and the robustness of the PID-TLBO and STA-TLBO controllers are examined by three tests, parameter uncertainties, external disturbances, and step response. The results show that the STA-TLBO controller has a better performance than the others under different conditions; that means the proposed controller has a shorter convergence time, more accurate tracking, and fewer tracking error than the other three controllers. پرونده مقاله

Abstract - Based on the study of the theoretical foundations of the research, it is determined that so far there is no detailed study on heating and cooling energy related to zero-energy buildings in the recent research based on energy waste in buildings. Therefore, in this article, by simulating commercial buildings and simulating the correct materials and strategies in the heating and cooling system, as well as investigating the insulation of buildings, we will study the effect of zero-energy building materials on energy wastage to model the temperature variations in building and control to achieve desire value. This article, taking into account the effects of heat transfer through building walls, the energy consumption model, and by genetic algorithm model predictive control (MPC) method optimizes the indoor temperature of the building. For this purpose, the genetic algorithm is used to determine the best control input in the form of building heating. The simulation of this process has been done in MATLAB software and the method of modeling heat loss and temperature change outputs shows that the proposed method has a good performance. The maximum of overshoot of the temperature is %4 and the cost function of GA algorithm is 165 based of minimum control effort and temperature error. پرونده مقاله

In this article, we investigate different control methods and control input disturbance removal in the two-link flexible robot. For this purpose, we use the linear feedback control method to control the trajectory tracking of the robot's angle with a nonlinear model by reducing the effects of disturbances in the control signal. The main contribiution of this paper is disturbance rejection that effect on performance of robot. In the end, by analyzing and comparing the obtained results, the best method is selected to control and eliminate the control input disturbance in the flexible two-link robot. To analyze the results of this research, MATLAB software and the system simulation are performed and according to the desired trajectory for the robot arms, the optimum control input for the system is obtained. Based on the results, the proposed control structure controls the model property without overshooting and by considering the saturation limit of input control. پرونده مقاله

In order to improve the optimal performance of a machining process, a booster to improve the serve control system performance with high stability for EDM is needed. According to precise movement of machining process using electrical discharge (EMD), adaptive control is proposed as a major option for accuracy and performance improvement. This article is done to design adaptive controller based on self-tuning regulator (STR) using adaptive online detection methods of gradient MIT and normalized gradient MIT to adjust machine's movement time in the control process. Process performance after controller design shows that determined Gaps location at different points is appropriate and improves machining rates almost 100%. In order to improve the optimal performance of a machining process, a booster to improve the serve control system performance with high stability for EDM is needed. According to precise movement of machining process using electrical discharge (EMD), adaptive control is proposed as a major option for accuracy and performance improvement. This article is done to design adaptive controller based on self-tuning regulator (STR) using adaptive online detection methods of gradient MIT and normalized gradient MIT to adjust machine's movement time in the control process. Process performance after controller design shows that determined Gaps location at different points is appropriate and improves machining rates almost 100%. پرونده مقاله