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0 بررسی اثر غلظت یون غیرفلزی در نیمه رسانای نانو ساختار کادمیم سلنید در حالت لایه های نازک با قابلیت کاربری در رادارها Investigating the effect of non-metal ion concentration in cadmium selenide nanostructure semiconductors in the state of thin films https://jasd.khadu.ir/article_108.html 0 در این کار تلاش بر مهیا کردن ساخت لایه های نازک نانوساختار کادمیم سلنید(CdSe) بر مبنای روش محلولی ساده لایه نشانی حمام شیمیایی (CBD) شده است که از لحاظ تجاری پیش ماده ای ارزان و در دسترسی دارد. در روش لایه نشانی حمام محلول شیمیایی، عوامل ساخت، نقش قابل ملاحظه ای را ایفا کرده و خواص فیزیکی محصول نهایی را تعیین می کنند. در این پژوهش، تأثیر یک عامل مهم، غلظت محلول های اولیه یون سلنیم که یکی از مهمترین فاکتورهای تشکیل دهنده کادمیم سلنید است و مشاهده خواهد شد که تغییر غلظت این یون غیرفلزی، نوع ساختار الکترونی ماده را به شدت تحت تاثیر خود قرار می دهد. بر خلاف روش های کند وپاش، در روش رسوبگیری از محلول شیمیائی، کنترل بالائی در تشکیل رسوبهای جامد با ترکیبهای مختلف ترکیبات دوتائی فلز و غیرفلز وجود دارد. تغییر غلظت یون سلنید اندازه گاف انرژی نواری را تغییر می دهد. مشاهده شده است با افزایش غلظت یون غیرفلزی سلنید، گاف انرژی افزایش می یابد. 1 In this work, an attempt was made to prepare thin layers of nanostructured cadmium selenide (CdSe) based on a simple solution method of chemical bath deposition (CBD), which commercially has an accessible precursor. In the chemical solution bath layering method, manufacturing factors play a significant role and determine the characteristics of the final product. In this research, the effect of an important factor, the concentration of primary solutions of selenium and cadmium ions, which is one of the most important factors in the formation of cadmium selenide, and it will be observed that the change in the concentration of these metal and non-metal ions strongly affects the type of electronic structure of the material. In comparison with the sputtering methods, in the chemical solution deposition method, there is a high control in the formation of solid deposits with different combinations of metal and non-metal binary compounds. Changing the selenide ionconcentration changes the size of the energy band gap. It has been observed that the energy gap increases with the increase of selenide non-metal ion concentration. 1 15 حمیدرضا حاتمی Hamidreza Hatami گروه فیزیک، دانشکده علوم، دانشگاه ملایر ایران نادر قبادی Nader Ghobadi گروه فیزیک، دانشکده علوم، دانشگاه ملایر ایران nader.ghobadi@gmail.com داریوش مهرپرور Dariush mehrparvar گروه فیزیک، دانشکده علوم، دانشگاه ملایر، ملایر، ایران ایران d.mehrparvar@malayeru.ac.ir محمد فرخزادی Mohammad Farokhzadi گروه ریاضی، دانشگاه فنی و حرفه ای تهران ایران غلظت یون غیرفلزی رسوبگیری محلول شیمیائی گاف انرژی. استوکیومتری [1] Granitzer P., Rumpf K., Nanostructured Semiconductors: From Basic Research to Applications, Taylor & Francis Group, 2014.##[2] Yi G.C., Semiconductor Nanostructures for Optoelectronic Devices: Processing, Characterization and Applications, Springer Berlin Heidelberg, 2012.##[3] Thangaraju B., Kaliannan P., Spray pyrolytically deposited PbS thin films, Semiconductor science and technology, 15, 849-856, 2000.##[4] El-Menyawy E.M., Mahmoud G.M., Ibrahim R.S., Terra F.S., El-Zahed H., El Zawawi I.K., Structural, optical and electrical properties of PbS and PbSe quantum dot thin films, Journal of Materials Science: Materials in Electronics, 27, 10070-10077, 2016.##[5] Preetha K.C., Remadevi T.L., Band gap engineering in PbSe thin films from near-infrared to visible region by photochemical deposition method, Journal of Materials Science: Materials in Electronics, 25, 1783-1791, 2012.##[6] Bhat T.S., Vanalakar S.A., Devan R.S., Mali S.S., Pawar S.A., Ma Y.R., Hong C.K., Kim J.H., Patil P.S., Compact nanoarchitectures of lead selenide via successive ionic layer adsorption and reaction towards optoelectronic devices, Journal of Materials Science: Materials in Electronics, 27, 4996-5005, 2016.##[7] Hens Z., Kooij E.S., Allan G., Grandidier B., Vanmaekelbergh D., Electrodeposited nanocrystalline PbSe quantum wells: synthesis, electrical and optical properties, Nanotechnology, 16, 339-343, 2005.##[8] Kim S.J., Nanostructured photovoltaic devices for next generation solar cell, State University of New York at Buffalo, 2008.##[9] Kumar S., Sharma T.P., Zulfequar M., Husain M., Characterization of vacuum evaporated PbS thin film, Physica B: Condensed Matter, 325, 8-16, 2003.##[10] Lincot D., Hodes G., Chemical solution deposition of semiconducting and non-metallic films: proceedings of the international symposium, Electrochemical Society, 2006.##[11] Mane R.S., Lokhande C.D., Chemical deposition method for metal chalcogenide thin films, Materials Chemistry and Physics, 65, 1-31, 2000.##[12] Choi J.J., Lim Y.F., Santiago-Berrios ME.B., Oh M., Hyun B.R., Sun L., Bartnik A.C., Goedhart A., Malliaras G.G., Abruña H.D., Wise F.W., Hanrath T., PbSe nanocrystal excitonic solar cells, Nano Letters, 9, 3749-3755, 2009.##[13] Kamat P.V., Quantum dot solar cells. semiconductor nanocrystals as light harvesters, The Journal of Physical Chemistry C, 112, 18737-18753, 2008.##[14] Ma W., Luther J.M., Zheng H., Wu Y., Alivisatos A.P., Photovoltaic devices employing ternary PbSxSe1-x nanocrystals, Nano Letters, 9, 1699-1703, 2009.##[15] Dang H., Nanostructured semiconductor device design in solar cells, University of Kentucky, 2015.##[16] Sargent E.H., Infrared quantum dots, Advanced Materials, 17, 515-522, 2005.##[17] Mertens K., Photovoltaics: Fundamentals, Technology and Practice, Wiley, 2018.##[18] Zhang J., Gao J., Church C.P., Miller E.M., LutherJ.M., Klimov V.I., Beard M.C., PbSe quantum dot solar cells with more than 6% efficiency fabricated in Ambient Atmosphere, Nano Letters, 14, 6010-6015, 2014.##[19] Brus L., Quantum crystallites and nonlinear optics, Applied Physics A, 53, 465-474, 1991.##[20] Hodes G., Chemical solution deposition of semiconductor films, Taylor & Francis Group, 2000.##[21] Qiu W., Xu M., Yang X., Chen F., Nan Y., Zhang J., Iwai H., Chen H., Biomolecule-assisted hydrothermal synthesis of In2 S3 porous films and enhanced photocatalytic properties, Journal of Materials Chemistry, 21, 13327-13333, 2011.##[22] Hussain R.A., Badshah A., Khan M.D., Haider N., lal B., Khan S.I., Shah A., Comparative temperature and surfactants effect on the morphologies of FeSe thin films fabricated by AACVD from a single source precursor with mechanism and photocatalytic activity, Materials Chemistry and Physics, 159, 152-158, 2015.##[23] Tauc J., Menth A., States in the gap, Journal of Non-Crystalline Solids, 8, 569-585, 1972.##[24] Stach S., Sapota W., Talu S., Ahmadpourian A., Ghobadi N., Luna C., Arman A., Ganji M., 3-D surface stereometry studies of sputtered TiN thin films obtained at different substrate temperatures, Journal of Materials Science: Materials in Electronics, 28, 2113-2122, 2016.##[25] Ghobadi N., Ganji M., Luna C., Arman A., Ahmadpourian A., The effects of DC power on the physical properties and surface topography of sputtered TiN nanostructured thin films, Optical and Quantum Electronics, 48, 467-475, 2016.##[26] Yazdan Panah, M. R., Hosseini Moradi, S. A., Hatami, M., & Jouladeh Roodbar, H. (2021). Designing and Manufacturing Recyclable Metal Based Nanocomposites for Purification of Chemically Contaminated Waters. Nashrieh Shimi va Mohandesi Shimi Iran, 40(2), 51-59.‏##[27] Ghobadi N.; Derivation of ineffective thickness method for investigation of the exact behavior of the optical transitions in nanostructured thin films, Journal of Materials Science: Materials in Electronics, 27, 8951–8956, 2016.##

0 بهبود تفکیک‌پذیری برد متقاطع در رادار SAR به کمک فشرده-سازی مبتنی برفیلتر منطبق بر شیب An improved synthetic aperture radar cross-range resolution method based on Matched Slope Filter https://jasd.khadu.ir/article_109.html 0 در این مقاله بهبود تفکیک‌پذیری SAR با استفاده از یک فیلتر منطبق بر پایه FrFT مورد بررسی قرار گرفته است که فیلتر منطبق بر شیب نامیده شده است. معمولاً سیگنال دریافتی از اهداف توسط SAR با استفاده از الگوریتم‌هائی همچون RDA و CSA مورد پردازش قرار گرفته و تصویر نهائی استخراج می‌شود. یکی از مهمترین بخش‌های این الگوریتم‌ها، پیاده‌سازی یک فیلتر منطبق است که موجب فشرده‌سازی سیگنال دریافتی در راستای برد و در راستای سمت شده و منجر به مکان‌یابی و تفکیک‌پذیری بالای SAR خواهد شد. با توجه به اینکه شکل موج ارسالی اغلب رادار‌های SAR از نوع LFM می‌باشد، بنابراین اکوی برگشتی از اهداف در راستای برد یک سیگنال LFM می‌باشد. از طرفی در رادار SAR، در راستای سمت همیشه یک سیگنال چیرپ ایجاد می‌شود. در نتیجه در این مقاله فشرده‌سازی سیگنال با استفاده از فیلتر منطبق بر شیب بطور خاص روی سیگنال سمت انجام شده است و بدیهی است می‌توان همین روش را روی سیگنال LFM در راستای برد نیز تعمیم داد. نتایج بدست آمده نشان می‌دهند که روش پیشنهادی مبتنی بر تبدیل FrFT در حوزۀ زمان - فرکانس برای پیاده‌سازی یک فیلتر منطبق نسبت به روش کلاسیک، هم تفکیک‌پذیری را بهبود داده و هم سطح گلبرگ‌های فرعی در آشکارسازی دو هدف نقطه‌ای کاهش داده است. 1 This article aims at the improvement of Synthetic Aperture Radar (SAR) resolution by using a Matched Filter (MF) based on the Fractional Fourier Transform (FrFT) that has been called a Matched Slope Filter (MSF). Generally, the received SAR signals are processed by well-known algorithms to extract the final image, such as the Chirp Scaling Algorithm (CSA) and the Range Doppler Algorithm (RDA). Implementing a Matched Filter (MF) that aims at compressing the received signal in the range and azimuth directions is a principal part of these algorithms to deliver target positioning and high resolution. Because the transmitted signal by SARs has often been Linear Frequency Modulated (LFM), the received echo from the targets in the range direction is the LFM. On the other hand, there is always a chirp signal in the azimuth orientation. Thus, this paper proposes the Matched on Slope Filter to improve the compression of the azimuth signals. It's clear the proposed method has been adopted for LFM signal compression in the range direction also. The evaluation results show that our method that uses the FrFT in the time-frequency domain for implementing a Matched Slope Filter enhances the resultant azimuth resolution and reduces the sidelobe level compared to the other frequency-based method. 16 38 فرهاد صادقی Farhad Sadeghi دانشکده مهندسی برق، دانشگاه پدافند هوایی خاتم الانبیاء(ص)، تهران، ایران ایران farhad.sadeghi@srbiau.ac.ir مجید زارعی majid zarie استادیار برق، دانشکده مهندسی برق، دانشگاه پدافند هوایی خاتم‌الانبیاء(ص)، تهران، ایران ایران majidzarie@yahoo.com تفکیک‌پذیری سمت رادار دهانه ترکیبی فیلتر منطبق بر شیب فشرده‌سازی سیگنال ئتبدیل فوریۀ کسری [1] S.-T. M. Mazruei M, “A New Algorithm for Detection of Vegetation and Shadow Regions in High Resolution Aerial/Satellite Images Based on Principal Component Analysis. Journal of Iranian Association of Electrical and Electronics Engineers. 2018; 15 (2) :25-43,” Journal of Iranian Association of Electrical and Electronics Engineers., vol. 15, no. 2, pp. 25–43, 2018.##[2]            M. Soumekh, Synthetic Aperture Radar Signal Processing With Matlab Algorithms. 1999.##[3]            I. G. Cumming and F. H. Wong, Digital Processing of Synthetic Aperture Radar Data Algorithms and Implementations. 2005.##[4]            N. Levanon and E. Mozeson, Radar Signals. 2004.##[5]            A. Noroozi, M. A. Sebt, A. H. Oveis, R. Amiri, and M. M. Nayebi, “Improved Algebraic Solution for Elliptic Localization in Distributed MIMO Radar,” Journal of Iranian Association of Electrical and Electronics Engineers, vol. 17, no. 4, pp. 37–44, Dec. 2020.##[6]            W. Fan, M. Zhang, J. Li, and P. Wei, “Modified Range-Doppler Algorithm for High Squint SAR Echo Processing,” IEEE Geoscience and Remote Sensing Letters, vol. 16, no. 3, pp. 422–426, 2019.##[7]            V. Namias, “The fractional order fourier transform and its application to quantum mechanics,” IMA Journal of Applied Mathematics (Institute of Mathematics and Its Applications), vol. 25, no. 3, pp. 241–265, 1980.##[8]            Y. Zhang et al., “A comprehensive survey on fractional fourier transform,” Fundamenta Informaticae, vol. 151, no. 1–4, pp. 1–48, 2017.##[9]            E. Sejdić, I. Djurović, and L. Stanković, “Fractional Fourier transform as a signal processing tool: An overview of recent developments,” Signal Processing, vol. 91, no. 6, pp. 1351–1369, 2011.##[10] M. Jinming, M. Hongxia, S. Xinhua, G. Chang, K. Xuejing, and T. Ran, “Research progress in theories and applications of the fractional Fourier transform,” vol. 1, no. 61331021, pp. 1–24, 2018.##[11] S. A. Elgamel, C. Clemente, and J. J. Soraghan, “Radar matched filtering using the fractional fourier transform,” in Sensor Signal Processing for Defence (SSPD 2010), 2010, pp. 23–23.##[12] A. S. Amein and J. J. Soraghan, “Azimuth fractional transformation of the Fractional Chirp Scaling Algorithm (FrCSA),” IEEE Transactions on Geoscience and Remote Sensing, vol. 44, no. 10, pp. 2871–2879, 2006.##[13] C. Clemente and J. J. Soraghan, “Fractional Range Doppler Algorithm for SAR Imaging,” Proceedings of the 7th European Radar Conference, no. October, pp. 248–251, 2010.##[14] M. G. El-Mashed, O. Zahran, M. I. Dessouky, M. El-Kordy, and F. E. Abd El-Samie, “Synthetic aperture radar imaging with fractional Fourier transform and channel equalization,” Digital Signal Processing: A Review Journal, vol. 23, no. 1, pp. 151–175, 2013.##[15] S. Chen, S. Zhang, H. Zhao, and Y. Chen, “A New Chirp Scaling Algorithm for Highly Squinted Missile-Borne SAR Based on FrFT,” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 8, no. 8, 2015.##[16] Y. G. and X. L. Qianrong Lu, “A Novel Compensation Approach for the Range-Dependent Motion Error based on Time Scaling,” pp. 6715–6718, 2018.##[17] L. Dong, L. Huan, L. Hongqing, L. Guisheng, and T. Xiaoheng, “Focus Improvement for High-Resolution Highly Squinted SAR Imaging Based on 2-D Spatial-Variant Linear and Quadratic RCMs Correction and Azimuth-Dependent Doppler Equalization,” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 10, no. 1, pp. 168–183, 2017.##[18] Z. Ding, L. Liu, T. Zeng, W. Yang, and T. Long, “Improved Motion Compensation Approach for Squint Airborne SAR,” vol. 51, no. 8, pp. 4378–4387, 2013.##[19] O. Akay and G. F. Boudreaux-Bartels, “Fractional convolution and correlation via operator methods and an application to detection of linear FM signals,” IEEE Transactions on Signal Processing, vol. 49, no. 5, pp. 979–993, 2001.##[20] A. Bultheel, “A two-phase implementation of the fractional Fourier transform Katholieke Universiteit Leuven Department of Computer Science A two-phase implementation of the fractional Fourier transform,” no. March, 2011.##[21] D. Li et al., “A Fast Cross-Range Scaling Algorithm for ISAR Images Based on the 2-D Discrete Wavelet Transform and Pseudopolar Fourier Transform,” IEEE Transactions on Geoscience and Remote Sensing, vol. 57, no. 7, pp. 4231–4245, 2019.##[22] W. Yu, W. Su, H. Gu, J. Yang, and X. Lu, “Fast implementation of ground maneuvering target focusing,” Digital Signal Processing: A Review Journal, vol. 89, pp. 155–169, 2019.##[23] Y. Yang, Z. Peng, W. Zhang, and G. Meng, “Parameterised time-frequency analysis methods and their engineering applications: A review of recent advances,” Mechanical Systems and Signal Processing, vol. 119, pp. 182–221, 2019.##[24] C. Capus and K. Brown, “Short-time fractional Fourier methods for the time-frequency representation of chirp signals,” The Journal of the Acoustical Society of America, vol. 113, no. 6, p. 3253, 2003.##[25] K. K. Sinha, “The Fractional Fourier Transform in Signal Processing,” International Journal of Scientific and Research Publications, vol. 3, no. 2, pp. 1–3, 2013.##[26] A. Akhavan, A. Mahloojifar, and S. Hashemi-Berenjabad, “Axial resolution and robustness improvement in coded excitation ultrasound images using fractional fourier transform,” Proceedings - 4th International Conference on Developments in eSystems Engineering, DeSE 2011, pp. 68–73, 2011.##

0 پیاده‌سازی آزمایشگاهی کنترل برداری بدون حسگر موتورPMSM ، با استفاده از رؤیتگر مد لغزشی و حلقه قفل فاز Laboratory implementation of sensorless vector control of PMSM motor, using sliding mode observer and phase-locked loop https://jasd.khadu.ir/article_112.html 0 در این مقاله، یک الگوریتم تخمین موقعیت روتور بر اساس رؤیتگر مد لغزشی (SMO) و حلقه قفل فاز (PLL) برای کنترل موتور سنکرون آهنربا دائم (PMSM) در میکروکنترلر STM32L431RCT6 ارائه شده است. در مقایسه با رؤیتگر SMO متداول، رؤیتگر مبتنی بر SMO و PLL پیشنهادی دارای دو مزیت کاهش پدیده نامطلوب لرزش و بهبود دقت تخمین موقعیت روتور می‌باشد. در این تحقیق، یک سیستم کنترل بدون حسگر هیبریدی برای درایو موتور PMSM با استفاده از روش راه‌اندازی I-f و یک انتقال نرم به کنترل برداری حلقه‌بسته بدون حسگر با SMO و PLL، طراحی گردیده است. برای پیاده‌سازی کنترل‌برداری میدان، حلقه قفل شونده فاز، رؤیتگر مد لغزشی، کنترل‌کننده‌های تناسبی-انتگرالی، مدولاسیون پهنای پالس بردار فضایی و تبدیلات مختصات، از زبان برنامه‌نویسی C استفاده شده و با استفاده از میکروکنترلرهای 32 بیتی خانواده STM32 پیاده‌سازی شده است. در ادامه، نتایج آزمایشگاهی ارائه شده عملکرد مطلوب رؤیتگر پیشنهادی را به خوبی نشان می‌دهد. 1 In this paper, a rotor position estimation algorithm based on sliding mode observer (SMO) and phase-locked loop (PLL) for permanent magnet synchronous motor (PMSM) control in STM32L431RCT6 microcontroller is presented. The proposed SMO and PLL-based observer has two advantages compared to the conventional SMO observer: reducing the undesirable phenomenon of chattering and improving the accuracy of rotor position estimation. In this research, a hybrid sensorless control system for PMSM drive has been designed, using the I-f startup method and a smooth transition to sensorless closed-loop vector control with SMO and PLL. C programming language is used to implement field vector control, phase-locked loop, sliding mode observer, proportional-integral controllers, space vector pulse width modulation, and coordinate transformations. The proposed method is implemented using STM32 family 32-bit microcontrollers. In the following, the presented laboratory results show the desirable performance of the proposed observer. 39 57 محمد ویسی Mohammad Veysi رئیس گروه آموزش فنی مهندسی، مرکز تحصیلات تکمیلی ایران m.veysi@khadu.ac.ir محمد فرهمند راد Mohammad Farahmand Rad محقق دانشکده مهندسی برق ایران mohammad.farahmandrad@shahed.ac.ir سید مهدی امامی Seyed Mehdi Emami محقق ایران s.mehdi2emami90@gmail.com حمید بلوچستانی Hamid Balouchestani محقق ایران hamidbalouchestani1374@gmail.com رؤیتگر مد لغزشی روش راه‌اندازی I-f کنترل بدون حسگر حلقه قفل فاز میکروکنترلر STM32 G,; B, Zhang.; C, Chen.; J, Li.; S, Gao.; S, Zhao. "Vector Control Strategy of PMSM Based on Current Sensor less," Int. Conf. on Mechanical and Electronics Engineering (ICMEE), China, 2022, PP.19-24.##B, Liu.; B, Zhou.; H, Liu.; J, Li.; L, Wang.; Q, "Research on Initial Rotor Position Estimation for SPMSM," Int. Conf. on Electrical Machine and Systems (ICEM), 2018, PP. 768-774.##X, Shi.; J, Liu.; J, Xu. "Hybrid Position Sensor less Control Based on Estimation Position Error Switching for PMSM in Full Speed Range," 49th Annual Conference of the IEEE Industrial Electronics Society, Singapore, 2023, PP. 1-6.##Z, Qiao.; T, Shi.; Y, Wang.; Y, Yan.; C, Xia.; X, He. "New Sliding-Mode Observer for Position Sensor less Control of Permanent-Magnet Synchronous Motor," IEEE Transactions On Industrial Electronics, 60, no.2, 2020, PP. 710-719.##R, Li.; G, Zhao, "Position Sensor less Control for PMSM Using Sliding Mode Observer and Phase-Locked Loop," in Proceedings of the IEEE 6th Int. Conf. Power Electronics and Motion Control, 2019, 1867-1870.##X, Lu.; H, Lin.; Y, Feng.; Y, Guo.; H, Yang. "Improvement of Sliding Mode Observer for PMSM Sensor less Control in Renewable Energy System," in Proceedings of the Int. on Renewable Energy Research and Applications, 2019, PP. 769-774.##S, Bolognani.; R, Oboe.; M, "Sensor less Full-Digital PMSM Drive with EKF Estimation of Speed and Rotor Position," IEEE Transactions on Industrial Electronics, vol. 46, 1999, PP.184-191.##A, Kasri.; K, Ouari. "Improvement of PMSM Performances Using Nonlinear Model Predictive Control and Space Vector Modulation,"2023 Int. Conf. on Advances in Electronics, Control and Communication Systems (ICAECCS), Algeria, 2023, PP.1-6.##B, Bendjedia.; S, Chouireb. "Comparative Study Between Sensor less Vector Control of PMSM Drives based on MRAS, SMO and EKF Observers," Int. Conf. on Advances in Electronics, Control and Communication Systems (ICAECCS), BLIDA, Algeria, 2023 PP. 1-6.##M, Veysi.; M, R, Soltanpour. "Eliminating chattering phenomenon in sliding mode control of robot manipulators in the joint space using fuzzy logic," Journal of Solid and Fluid Mechanics, Vol. 2, No. 3, 2013, PP. 45-54.##M, Veysi.; R, Soltanpour.; M. H, Khooban. "A novel self-adaptive modified bat fuzzy sliding mode control of robot manipulator in presence of uncertainties in task space," Robotica, Vol. 33, No. 10, 2015, PP. 2045-2064.##M, Veysi.; R, Soltanpour. "Voltage-base control of robot manipulator using adaptive fuzzy sliding mode control," International Journal of Fuzzy Systems, Vol. 19, No. 5, 2017, PP. 1430-1443.##M, Veysi.; R, Soltanpour. "Voltage-Base Control of Camera Stabilizer Using Optimal Adaptive Fuzzy Sliding Mode Control," Journal of Iranian Association of Electrical and Electronics Engineers, Vol. 14, No. 4, 2018, PP. 23-40.##A, Hasan Nezhad.; A, Ranjbar Noiey.; R, Soltanpour.; M, Veysi. "A new fuzzy decoupled sliding mode control of flexible joint robotic manipulators based on the finite‐time observer in the presence of chaos with experimental validation," IET Control Theory & Applications, Vol. 18, No. 4, 2024, PP. 422-441.##A, Wang.; Y, Xiong.; T, Zhang. "Position Sensor less Control of Permanent Magnet Synchronous Motor Based on Adaptive Filtering Sliding Mode Observer," Chinese Control and Decision Conference (CCDC), Hefei, China, 2022, PP. 6027-6032.##Z, Wang.; K, Lu.; F, Blaabjerg. "A Simple Startup Strategy Based on Current Regulation for Back-EMF-Based Sensor less Control of PMSM," IEEE Transactions on Power Electronics, vol. 27, no.8, 2017, PP. 3817-3825.##W, Wang.; Z, Li.; X, Xu. "A Novel Smooth Transition Strategy for BEMF-Based Drive Startup of PMSM," 11th World Congress on Intelligent Control and Automation (WCICA), 2016, PP. 4296-4301.##H, Mehta.; V, Joshi.; P, Kurulkar. "Implementation issues of sliding mode observer for sensor less field-oriented control of PMSM using TMS320F2812," IEEE Symposium on Sensor less Control for Electrical Drives (SLED), Nadi, Fiji, 2016, PP. 1-6.##A, Bist.; S, Jadhav, "Sensorless Control based on Sliding Mode Observer for PMSM drive," IEEE International Conference on Power Electronics, Drives and Energy Systems (PEDES), Jaipur, India, 2020, pp. ##

0 رویکرد نوین در بهبود پدافند: الگوریتم‌های فراابتکاری برای ساختاردهی بهینه آرایه پوششی و تولید مجموعه‌ای کارآمد از آزمون‌ها A Novel Approach to Enhancing Defense: Metaheuristic Algorithms for Optimal Structuring of Covering Arrays and Efficient Test Suite Generation https://jasd.khadu.ir/article_113.html 0 عملیات آزمون نرم‌افزار، به‌عنوان یکی از روش‌های اساسی برای ارزیابی کیفیت محصولات نرم‌افزاری، از مراحل مختلف توسعه و نگهداری نرم‌افزار بهره می‌برد. با افزایش پیچیدگی و گستردگی نرم‌افزارها، نیازمندی به روش‌های آزمون کارآمد و موثر با تعادل مناسب بین کاهش زمان و افزایش دقت احساس می‌شود. در این مطالعه، روش‌های خودکار آزمون نرم‌افزار با استفاده از الگوریتم‌های بهینه‌سازی مبتنی بر جغرافیای زیستی و ترکیب آن با الگوریتم خفاش مورد بررسی قرار گرفته و آرایه پوششی با کارایی بالا تولید شده است. این نوآوری‌ها، به علاوه استفاده از ساختارهای داده بهینه، نه تنها به مدیریت پیچیدگی نرم‌افزار کمک کرده‌اند، بلکه نیازمندی‌های موفقیت پروژه‌های نرم‌افزاری را نیز مدنظر قرار داده‌اند. این پژوهش به منظور ارتقای کیفیت محصولات نرم‌افزاری، توصیه می‌شود و به تولید آرایه‌های پوشش با بهره‌وری بالا و افزایش کارایی آزمون‌های نرم‌افزار می‌پردازد. 1 Software testing operations, as one of the fundamental methods for evaluating the quality of software products, are employed throughout various stages of software development and maintenance. With the increasing complexity and ubiquity of software, the need for performance and efficiency testing methods with a suitable balance between reducing time and increasing accuracy is felt. In this study, automated software testing methods using Biogeography-Based Optimization algorithms, coupled with the bat algorithm, have been investigated, resulting in the production of a high-performance covering array. These innovations, along with the utilization of optimized data structures, have not only aided in managing software complexity but also addressed the success requirements of software projects. This research is recommended for enhancing the quality of software products, focusing on producing covering arrays with high efficiency and improving the performance of software testing. 58 77 سجاد اسفندیاری sajad esfandyari گروه مهندسی کامپیوتر، دانشکده فنی مهندسی، دانشگاه ملایر، ملایر، ایران ایران esfandyari@malayeru.ac.ir داور گیوکی davar giveki گروه مهندسی کامپیوتر، دانشکده فنی مهندسی، دانشگاه ملایر، ملایر، ایران ایران davar.giveki@malayeru.ac.ir محمد فرخزادی Mohammad Farokhzadi گروه ریاضی، دانشگاه فنی و حرفه ای تهران ایران mohamad.farokhzadeh@gmail.com الگوریتم های فراابتکاری آزمون نرم افزار آرایه پوششی S. Esfandyari and V. Rafe, "A Hybrid solution for Software testing to minimum test suite generation using hill climbing and bat search algorithms," Tabriz Journal of Electrical Engineering, vol. 46, no. 3, pp. 25-35, 2016.##S. Esfandyari and V. Rafe, "Extracting Combinatorial Test parameters and their values using model checking and evolutionary algorithms," Applied Soft Computing, vol. 91, pp. 1-19, 2020.##S. Esfandyari and V. Rafe, "GALP: a hybrid artificial intelligence algorithm for generating covering array," soft computing, vol. 25, p. 7673–7689, 2021.##M. K.-N. Einollah Pira, "Combinatorial t-way test suite generation using an improved asexual reproduction optimization algorithm," Applied Soft Computing, vol. 150, 2024.##D. Simon, "Biogeography-based optimization," IEEE Transactions on Evolutionary Computation, vol. 12, no. 6, pp. 702-713, 2008.##A. A. Muazu, A. S. Hashim and A. Sarlan, "Review of Nature Inspired Metaheuristic Algorithm Selection for Combinatorial t-Way Testing," IEEE Access, vol. 10, pp. 27404 - 27431, 2022.##E. Pira, V. Rafe and S. Esfandyari, "Minimum Covering Array Generation Using Success-History and Linear Population Size Reduction based Adaptive Differential Evolution Algorithm," TABRIZ JOURNAL OF ELECTRICAL ENGINEERING, vol. 52, no. 2, pp. 77-89, 2022.##E. Pira, V. Rafe and S. Esfandyari, "A three-phase approach to improve the functionality of t-way strategy," Soft Computing, pp. 1-21, 2023.##S. Esfandyari and V. Rafe, "Using the Particle Swarm Optimization Algorithm to Generate the Minimum Test Suite in Covering Array with Uniform Strength," Soft Computing Journal, vol. 8, no. 2, pp. 66-79, 2021.##S. Esfandyari and V. Rafe, "Correction to: GALP: a hybrid artificial intelligence algorithm for generating covering array," Soft Computing, 2021.##Z. Abbasi, S. Esfandyari and V. Rafe, "Covering array generation using teaching learning base optimization algorithm," Tabriz Journal of Electrical Engineering, vol. 48, no. 1, pp. 161-171, 2018.##Y. Lei, R. Kacker, D. R. Kuhn, V. Okun and J. Lawrence, "IPOG: a general strategy for t-way software testing," in 4th Annual IEEE International Conference and Workshops on the Engineering of Computer-Based Systems, IEEE Computer Society, Tucson, AZ, 2007.##Y. Lei, R. Kacker, D. R. Kuhn, V. Okun and J. Lawrence, "IPOG/IPOG-D: efficient test generation for multi-way combinatorial testing, Software Testing," Software Testing, Verification & Reliability, vol. 18, no. 3, pp. 125-148, 2008.##A. Hartman, "IBM Intelligent Test Case Handler," IBM alphaworks, 2023. [Online]. Available: http://www.alphaworks.ibm.com/tech/whitch.##B. Jenkins, "Jenny download web page," Bob Jenkins’ Website, 2023. [Online]. Available: http://burtleburtle.net/bob/math/jenny.html.##J. Arshem, "TVG download page," 2023. [Online]. Available: http://sourceforge.net/projects/tvg.##K. Z. Zamli, M. F. J. Klaib, M. I. Younis, N. A. M. Isa and R. Abdullah, "Design and implementation of a t-way test data generation strategy with automated execution tool support," Information Sciences, vol. 181, no. 9, pp. 1741-1758, 2011.##D. M. Cohen, S. R. Dalal, M. L. Fredman and G. C. Patton, "The AETG system: an approach to testing based on combinatorial design," IEEE Transactions on Software Engineering, vol. 23, no. 7, pp. 437 - 444, 1997.##S. S. V. R. S. E. Leila Yousofvand, "Automatic program bug fixing by focusing on finding the shortest sequence of changes," Artificial Intelligence Review, vol. 57, no. 2, p. 39, 2024.##J. Stardom, "Metaheuristics and the Search for Covering and Packing Array," Thesis (M.Sc.), Simon Fraser University, 2001, 2001.##M. B. Cohen, "Designing Test Suites for Software Interactions Testing," PHD Thesis, University of Auckland,Department of Computer Science ,Auckland,, 2004.##B. S. Ahmed, K. Z. Zamli and C. P. Lim, "Application of Particle Swarm Optimization to uniform and variable strength covering array construction," Applied Soft Computing, vol. 12, no. 4, p. 1330–1347, 2012.##H. Wu, C. Nie, F.-C. Kuo, H. Leung and C. J. Colbourn, "A Discrete Particle Swarm Optimization for Covering Array Generation," IEEE Transactions on Evolutionary Computation, vol. 19, no. 4, pp. 575-591, 2015.##K. Z. Zamli, B. S. Ahmed, T. Mahmoud and W. Afzal, "Fuzzy Adaptive Tuning of a Particle Swarm Optimization Algorithm for Variable-Strength Combinatorial Test Suite Generation," in Swarm Intelligence, vol. 3, Y. Tan, Ed., IET, 2018.##B. S. Ahmed, T. Sh. Abdulsamad and M. Y. Potrus, "Achievement of minimized combinatorial test suite for configuration-aware software functional testing using the Cuckoo Search algorithm," Information and Software Technology, vol. 66, p. 13–29, 2015.##K. Z. Zamli, B. Y. Alkazemi and G. Kendall, "A Tabu Search hyper-heuristic strategy for t-way test suite generation," vol. 44, pp. 57-74, 2016.##A. R. A. Alsewari and K. Z. Zamli, "Design and implementation of a harmony-search-based variable-strengtht-way testing strategy with constraints support," Information and Software Technology, vol. 54, no. 6, p. 553–568, 2012.##Amirzdeh, M., Hosseini Moradi, S. A., & Ghobadi, N. (2023). Real Time Detection of Multi-Rotor Unmanned Aerial Vehicle Using YOLOv5 Optimized Algorithm. Journal of Advanced Defense Science & Technology, 14(1), 11-22.‏##S. Esfandyari and V. Rafe, "A tuned version of genetic algorithm for efficient test suite generation in interactive t-way testing strategy," Information and Software Technology, vol. 94, pp. 165-185, 2018.##

0 بررسی تجربی نوفه آیرودینامیکی ملخ پهپاد در اعداد رینولدز پایین Experimental investigation of aerodynamic noise of the drone propeller at low Reynolds numbers https://jasd.khadu.ir/article_114.html 0 در دهه‌های اخیر، استفاده از پهپادها به عنوان بخشی از زیرساخت های حمل و نقل شهری و منطقه ای و همچنین کاربردهای نظامی توسعه فراوانی پیدا کرده است. از طرفی، نوفه آیرودینامیکی بالای آن‌ها، یکی از چالش‌های جدی جهت اخذ گواهینامه صلاحیت پروازی برای این وسائل پرنده است. مهمترین منبع نوفه در مولتی روتورها، هواپیماها و پهپادهای ملخی با موتور الکتریکی و یا حتی موتور توربوپراپ، نوفه ناشی از ملخ است. در مطالعه حاضر، جهت شناخت بیشتر مکانیزم‌های موثر بر نوفه ملخ در اعداد رینولدز پایین و بررسی حساسیت نوفه به دور ملخ و زاویه قطبی انتشار آن، نوفه دوردست یک ملخ نمونه پهپاد به روش تجربی مورد ارزیابی گرفته است. نتایج نشان می‌دهد که نوفه ملخ شامل نوفه‌های تونال و پهن‌باند بوده به‌طوری که در فرکانس‌های پایین، بزرگترین نوفه تونال ملخ در فرکانس عبور پره رخ داده و هارمونیک‌های آن تا فرکانس‌های بالا همچنان قابل رویت هستند. از طرفی، اجزای پهن‌باند نوفه در محدوده‌های فرکانس متوسط و بالا غالب هستند. افزایش دور ملخ منجر به افزایش دامنه هر دو طیف نوفه تونال و پهن‌باند شده به طوری که مقادیر سطح فشار صوتی کل و طیف نوفه ملخ در اولین فرکانس عبور پره با افزایش دور ملخ افزایش یافته است. در نهایت نتایج نشان داد که نوفه پهن‌باند نسبت به نوفه تونال حساسیت بالاتری نسبت به زاویه انتشار صوت دارد. 1 In recent decades, the use of drones as part of urban and regional transport infrastructure, as well as military applications, has developed extensively. Contrarily, their high aerodynamic noise is one of the serious challenges to obtaining a certificate of airworthiness for these flying devices. The most important source of noise in multi-rotors, airplanes, and propeller drones with electric motors or even turboprop engines is the noise caused by propellers. In the present study, to learn more about the mechanisms affecting the propeller's noise at low Reynolds numbers and to investigate the sensitivity of the noise to the propeller rotational speed and the polar angle of its propagation, the far-field noise of a drone propeller has been evaluated experimentally. The results show that the propeller's noise includes tonal and broadband noise, so that at low frequencies, the largest propeller tonal noise occurs at the blade pass frequency, and its harmonics are still visible up to high frequencies. On the other hand, the broadband components of noise predominate in the medium and high-frequency ranges. The increase in propeller rotational speed has led to an increase in the amplitude of both the tonal and broadband noise spectrum, so that the values of the overall sound pressure level and the noise spectra of the propeller at the first blade pass frequency have increased with the increment of the propeller speed. Finally, the results showed that broadband noise has a higher sensitivity to the polar angle of sound propagation than tonal noise. 78 93 عباس افشاری Abbas Afshari گروه هوافضا-پیشرانش، دانشکده مهندسی هوافضا، دانشگاه علوم و فنون هوایی شهید ستاری، تهران،ایران ایران afshari@ssau.ac.ir جابر رگنی لموکی Jaber Ragani Lamouki دانشجوی دکتری مهندسی هوافضا-آیرودینامیک/دانشگاه فردوسی مشهد، دانشکده مهندسی، گروه مکانیک ایران j.raganilamooki@mail.um.ac.ir ملخ نوفه آیرودینامیکی سطح فشار صوتی الگوی جهت‌دهی فرکانس Charavgis, F., Monitoring and assessing concrete bridges with intelligent techniques. 2016.##Hassanalian, M. and A. Abdelkefi, Classifications, applications, and design challenges of drones: A review. Progress in Aerospace sciences, 2017. 91: p. 99-131.##Theodore, C.R. A summary of the nasa design environment for novel vertical lift vehicles (DELIVER) project. in Transformative Vertical Flight Workshop. 2018.##Christian, A.W. and R. Cabell. Initial investigation into the psychoacoustic properties of small unmanned aerial system noise. in 23rd AIAA/CEAS aeroacoustics conference. 2017.##Zawodny, N.S., A. Christian, and R. Cabell. A summary of NASA research exploring the acoustics of small unmanned aerial systems. in 2018 AHS Technical Meeting on Aeromechanics Design for Transformative Vertical Flight. 2018.##Müller, G. and M. Möser, Handbook of engineering acoustics. 2012: Springer Science & Business Media.##Lee, S., K.S. Brentner, and P.J.J.J.o.t.A.H.S. Morris, Long-range and nonlinear propagation of helicopter high-speed impulsive noise. 2017. 62(2): p. 1-10.##Gea Aguilera, F., Aerodynamic and aeroacoustic modelling of engine fan broadband noise. 2017, University of Southampton.##Pettingill, N.A., et al. Acoustic and performance characteristics of an ideally twisted rotor in hover. in AIAA Scitech 2021 Forum. 2021.##Brooks, T.F. and C.L.J.J.o.t.A.h.S. Burley, Blade wake interaction noise for a main rotor. 2004. 49(1): p. 11-27.##Deters, R.W., G.K. Ananda Krishnan, and M.S. Selig. Reynolds number effects on the performance of small-scale propellers. in 32nd AIAA applied aerodynamics conference. 2014.##Brandt, J. and M. Selig. Propeller performance data at low reynolds numbers. in 49th AIAA Aerospace Sciences Meeting including the New Horizons Forum and Aerospace Exposition. 2011.##Tinney, C.E. and J. Sirohi, Multirotor drone noise at static thrust. Aiaa Journal, 2018. 56(7): p. 2816-2826.##Feight, J.A., et al. Acoustic characterization of a multi-rotor UAS as a first step towards noise reduction. in 55th AIAA Aerospace Sciences Meeting. 2017.##Lu, Z., M. Debiasi, and B.C. Khoo. Acoustic characteristics of a multi-rotor MAV and its noise reduction technology. in INTER-NOISE and NOISE-CON Congress and Conference Proceedings. 2016. Institute of Noise Control Engineering.##Intaratep, N., et al. Experimental study of quadcopter acoustics and performance at static thrust conditions. in 22nd AIAA/CEAS Aeroacoustics Conference. 2016.##Begault, D.R. Ambient Noise Measurement for UAM Metric Analysis and Research. in Acoustics and Urban Air Mobility Technical Working Group Meeting. 2019.##Bendat, J.S. and A.G. Piersol, Random data: analysis and measurement procedures. 2011: John Wiley & Sons.##Ragani Lamouki, J., A. Afshari, and M. Pasandidehfard, Experimental investigation of the surface pressure spectrum on a high-swept-back delta wing. 2023. 11(1): p. 48-58.##Amirzdeh, M., Hosseini Moradi, S. A., & Ghobadi, N. (2023). Real Time Detection of Multi-Rotor Unmanned Aerial Vehicle Using YOLOv5 Optimized Algorithm. Journal of Advanced Defense Science & Technology, 14(1), 11-22.‏##Hanson, L.P., et al. Aeroacoustic and aerodynamic characteristics of propeller tip geometries. in 28th AIAA/CEAS Aeroacoustics 2022 Conference. 2022.##

0 طراحی و سنتز حسگر رنگ سنجی ساده، حساس و انتخابی برای تعیین متوالی آنالیت‌های دوگانه، مس دو ظرفیتی و آرژنین و کاربردهای آن برای اندازه‌گیری در آب آشامیدنی در پادگان نظامی،آب معدنی و سرم خون سربازان Design and synthesis of simple, sensitive and selective colorimetric sensor for sequential determination of dual analytes, Cu2+ and arginine and its applications for measurement in drinking water in military barrack, mineral water and in the blood serum of soldiers https://jasd.khadu.ir/article_116.html 0 در این پژوهش 1 و 2 –دی هیدروکسی-9 و 10-آنتراکینون (آلیزارین رد )، برای اولین بار به عنوان یک حسگر شیمیایی رنگ‌سنجی متوالی معرفی گردیده است که برای تشخیص و اندازه‌گیری متوالی مس دو ظرفیتی (Cu2+) و آرژنین (Arg) در محیط آبی مورد استفاده قرار می‌گیرد، فرآیند تشخیص دو مرحله‌ای می باشد. واکنش آلیزارین رد (Aliz) و مس دو ظرفیتی در مرحله اول تغییر رنگ محسوس از نارنجی کمرنگ به بنفش کمرنگ را نشان می‌دهد، علاوه بر این واکنش بین (Aliz-Cu) و آرژنین تغییر رنگ محسوس را از بنفش کمرنگ به بنفش پررنگ را نشان می دهد.نتایج نشان داد که آلیزارین رد و Aliz-Cu به ترتیب میل پیوندی قوی و حد تشخیص خوبی برای گونه‌های مس دو ظرفیتی و آرژنین را دارند. برای مس دو ظرفیتی، محدوده خطی و حد تشخیص 98/43-78/4، 43/0میکرومولاراست و برای آرژنین، محدوده خطی و حد تشخیص 78/107-15/7، 65/0 میکرومولار می‌باشد. در نهایت با استفاده از این روش این دوگونه را با موفقیت در نمونه‌های واقعی (آب آشامیدنی در پادگان نظامی، آب معدنی و سرم خون سربازان) اندازه‌گیری کردیم. 1 In this research, 1 and 2-dihydroxy-9 and 10-anthraquinone ( Alizarin Red ) has been introduced for the first time as a sequential chemosensor to detect and measure Cu2+ and arginine in an aqueous medium. The reaction of Alizarin Red (Aliz) and Cu2+in the first step shows a noticeable change from pale orange to pale purple, in addition, in the second step the reaction between (Aliz-Cu) and arginine shows a noticeable color change from pale purple to deep purple.The results showed that Alizarin Red and Aliz-Cu have strong binding affinity and good detection limit for Cu2+ and arginine, respectively. For Cu2+, the linear range and detection limit are 4.78-43.98, 0.43 μmol L−1, and for arginine, the linear range and detection limit are 7.15-107.78, 0.65 μmol L−1. Finally, by using this method, we successfully measured these two species in real samples (drinking water in military barrack, mineral water and in the blood serum of soldiers). 94 115 حسین توللی Hossein Tavallali استاد دانشگاه پیام نور ایران tavallali@yahoo.com مریم السادات سلامی maryam sadat salami کارشناس مسئول شیمی ایران salamimaryam94@gmail.com محمدعلی کریمی Mohamad Ali Karimi گروه شیمی، دانشگاه پیام نور، ص.پ. ،57271-7079تهران، ایران ایران ma_karimi43@yahoo.com ابوالفتح پرهامی Abolfath Parhami استاد دانشگاه پیام نور ایران a_parhami@pnu.ac.ir حسگر شیمیایی آلیزارین رد مس دو ظرفیتی آرژنین [1] S. Shiyab, “Phytoaccumulation of copper from irrigation water and its effect on the internal structure of lettuce”, Agriculture Vol. 8(2), p.29,2018.##[2] J. F. Collins, “Copper nutrition and biochemistry and human (patho)physiology”, Advances in Food and Nutrition Research, Elsevier pp 311–364, 2021.##[3] S. Jena, S. Tripathy, N. Mandre, R. Venugopal, S. Farrokhpay, “Sustainable Use of Copper Resources: Beneficiation of Low-Grade Copper Ores”, Minerals, MDPI AG. Vol. 12(5), pp. 545, 2022.##[4] Q. Han, X. Yang, Y. Huo, J. Lu, Y. Liu, “Determination of ultra-trace amounts of copper in environmental water samples by dispersive liquid-liquid microextraction combined with graphite furnace atomic absorption spectrometry”, Separations, Vol. 10(2), p. 93, 2023.##[5] M. afati Rahimzadeh, S. Kazemi, A. A. Moghadamnia, “Copper Poisoning with Emphasis on Its Clinical Manifestations and Treatment of Intoxication”, A. U. Rauf (Ed.), Advances in Public Health, Vol. 2024, pp. 1–12, 2024.## [6] S. Kucukkolbasi, S. Sayin, M. Yilmaz, “Fabrication and application of a new modified electrochemical sensor using newly synthesized calixarene-grafted MWCNTs for simultaneous determination of Cu (II) and Pb (II) ”, Acta Chimica Slovenica, Vol. 66(4), pp. 839-849, 2019.##[7] A.S. Amin, M.Y. Nassar, A. 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El-Hagary, “Simple and cost-effective route for PANI-ZnO-rGO nanocomposite as a biosensor for L-arginine detection”, Diamond and Related Materials, Vol.133, pp.109-703, 2023.##[16] A.K. Singh, R. Sharma, M. Singh, N. Verma, “Electrochemical determination of L-arginine in leukemic blood samples based on a polyaniline-multiwalled carbon nanotube—magnetite nanocomposite film modified glassy carbon electrode”, Instrumentation Science & Technology, Vol. 48(4), pp.400-416, 2020.##[17] X. Bu, Y. Fu, X. Jiang, H. Jin, R. Gui, “Self-assembly of DNA-templated copper nanoclusters and carbon dots for ratiometric fluorometric and visual determination of arginine and acetaminophen with a logic-gate operation”, Microchimica Acta, Vol.187, pp.1-10, 2020##[18] P. Marimuthu, A. Ramu, “Sensitivity and Selectivity of Fluorescent Chemosensor for the Detection of Fe 3+ and its Cell Images”, 2022.##[19] L. Zeußel, P. Mai, S. Sharma, A. Schober, S. Ren, S. Singh, “Colorimetric Method for Instant Detection of Lysine and Arginine Using Novel Meldrum's Acid Furfural Conjugate”, ChemistrySelect, Vol. 6(27), pp. 6834-6840, 2021.##[20] S. Zhang, J. Jing, L. Meng, B. Xu, X. Ma, W. Tian, “Peptide-Conjugated Aggregation-Induced Emission Fluorogenic Probe for Glypican-3 Protein Detection and Hepatocellular Carcinoma Cells Imaging”, Chemosensors,Vol. 10(5), p.195, 2022.##[21] Y. Liu, X. Wang, E. Feng, C. Fan, S. Pu, “A highly selective sequential recognition probe for Zn2+ and HSO4−/H2PO4− based on a diarylethene chemosensor”, SAA, Vol.246, No.119052, 2021.##[22] H. Tavallali, G. Deilamy-Rad, N. Mosallanejad, “Razvoj novog kolorimetrijskog kemijskog senzora za selektivno određivanje koncentracije oksalata u urinu i povrću pomoću metode istiskivanja indikatora (IDA) ”, Food Technol. Biotechnol, Vol.56(3), pp. 329-336. 2018.## [23] H. Tavallali, A. Parhami, S. Rajaei Dastghaib, M. A. Karimi, “I A novel and simple naphthol azo dye chemosensor as a naked eye detection tool for highly selective, sensitive and accurate determination of thiourea in tap water, juices and fruit skins”, pectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy,Vol. 289, pp. 22194, 2023.## [24] H. Tavallali, G. Deilamy-Rad, A. Moaddeli, K. Asghari, “Indigo Carmine-Cu complex probe exhibiting dual colorimetric/fluorimetric sensing for selective determination of mono hydrogen phosphate ion and its logic behavior”, SAA,Vol. 183, pp. 319-331, 2017.##[25] H. Tavallali, G. Deilamy-Rad, A. Parhami, K. Asghari, A. Ahmadi, “Bismuth triggered selective colorimetric naked-eye detection for oxalate ions based on bromopyrogallol red that works as a molecular keypad lock”, Int. J. Environ. Anal. Chem, Vol.101(5), pp. 648-667, 2021.##[26] H. Tavallali, G. Deilamy-Rad, A. Moaddeli, K. Asghari, “A new pincer-type “naked-eye” colorimetric probe for Cu+ 2 determination in 80% water media and its application as a solid state sensor and an efficient antibacterial product”, Sens. Actuators B Chem, Vol.244, pp. 1121-1128, 2017.##[27] H. Tavallali, G. Deilamy-Rad, N. Mosallanejad, “Reactive blue 4 as a Single colorimetric chemosensor for sequential determination of multiple analytes with different optical responses in aqueous media: Cu 2+-cysteine using a metal ion displacement and Cu 2+-arginine through the host-guest interaction”, Appl. Biochem. Biotechnol, Vol.187, pp. 937-913, 2019.##[28] H. Tavallali, G. Deilamy-Rad, N. Mosallanejad, “A reversible and dual responsive sensing approach for determination of ascorbate ion in fruit juice”, biological, and pharmaceutical samples by use of available triaryl methane dye and its application to constructing a molecular logic gate and a set/reset memorized device, SAA, Vol. 215, pp. 276-289, 2019.##[29] H. Tavallali, G. Deilamy-Rad, A. Parhami, M. Heidari, N. Mosllanejad, “A developed chromogenic probe for determination of dual analyte with logic gates function and keypad-lock”, Int. J. Environ. Anal. Chem, Vol.101(4), pp. 433-449, 2021.##[30] H. Tavallali, G. Deilamy-Rad, M.A. Karimi, M.-A. Aameri-Siahooei, “A novel sensitive and fast colorimetric assay for determination of benzidine as a carcinogen aromatic amine based on Bromopyrogallol red”, Int. J. Environ. Anal. Chem, Vol.100(6), pp. 662-674, 2020.##[31] H. Tavallali, A. Parhami, M.A. Karimi, P. Hossein-Khezri, “Simultaneous detection of SO32-and PO43-anions, in aqueous solutions based on 4-(2-Pyridylazo) resorcinol (PAR) as a colorimetric chemosensor and analytical applications”, Int. J. Environ. Anal. Chem. Vol. 102(15), pp. 3652-3671, 2022.##[32] G. Deilamy-Rad, K. Asghari, H. Tavallali, “Development of a reversible indicator displacement assay based on the 1-(2-Pyridylazo(2-naphthol for colorimetric determination of cysteine in biological samples and its application to constructing the paper test strips and a molecular-scale set/reset memorized device”, Appl. Biochem. Biotechnol, Vol.192, pp. 85-102, 2020.##[33] H. Tavallali, O. Espergham, G. Deilamy-Rad, M.A. Karimi, S. Rostami, “A.-R. Rouhani-Savestani, Dye/metal ion-based chemosensing ensemble towards l-histidine and l-lysine determination in water via different optical responses”, Anal. Biochem, Vol. 604, No. 113811, 2020.##[34] H. Tavallali, E. Rahimi, G. Deilamy,Rad, M.A. Karimi, M. Tavallali, “A novel colorimetric chemosensor for selective and highly sensitive determination of thiourea: An approach toward a molecular keypad lock”, J. Chin. Chem. Soc, Vol. 68(7), pp. 1279-1290, 2021.##[35] B A. Burakov, E. Neskoromnaya, A. 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