دانلود و نمایش مقالات مرتبط با اهداف::صفحه 1
بلافاصله پس از پرداخت دانلود کنید

با سلام خدمت کاربران در صورتی که با خطای سیستم پرداخت بانکی مواجه شدید از طریق کارت به کارت (6037997535328901 بانک ملی ناصر خنجری ) مقاله خود را دریافت کنید (تا مشکل رفع گردد). 

نتیجه جستجو - اهداف

تعداد مقالات یافته شده: 366
ردیف عنوان نوع
1 Head tremor in cervical dystonia: Quantifying severity with computer vision
لرزش سر در دیستونی دهانه رحم: کمی کردن شدت با دید کامپیوتری-2022
Background: Head tremor (HT) is a common feature of cervical dystonia (CD), usually quantified by subjective observation. Technological developments offer alternatives for measuring HT severity that are objective and amenable to automation. Objectives: Our objectives were to develop CMOR (Computational Motor Objective Rater; a computer vision- based software system) to quantify oscillatory and directional aspects of HT from video recordings during a clinical examination and to test its convergent validity with clinical rating scales. Methods: For 93 participants with isolated CD and HT enrolled by the Dystonia Coalition, we analyzed video recordings from an examination segment in which participants were instructed to let their head drift to its most comfortable dystonic position. We evaluated peak power, frequency, and directional dominance, and used Spearman’s correlation to measure the agreement between CMOR and clinical ratings. Results: Power averaged 0.90 (SD 1.80) deg2/Hz, and peak frequency 1.95 (SD 0.94) Hz. The dominant HT axis was pitch (antero/retrocollis) for 50%, roll (laterocollis) for 6%, and yaw (torticollis) for 44% of participants. One-sided t-tests showed substantial contributions from the secondary (t = 18.17, p < 0.0001) and tertiary (t = 12.89, p < 0.0001) HT axes. CMOR’s HT severity measure positively correlated with the HT item on the Toronto Western Spasmodic Torticollis Rating Scale-2 (Spearman’s rho = 0.54, p < 0.001). Conclusions: We demonstrate a new objective method to measure HT severity that requires only conventional video recordings, quantifies the complexities of HT in CD, and exhibits convergent validity with clinical severity ratings.
keywords: لرزش سر | ویدیو | بینایی کامپیوتر | درجه بندی شدت | TWSTRS | Head tremor | Video | Computer vision | Severity rating | TWSTRS
مقاله انگلیسی
2 Computer vision-based illumination-robust and multi-point simultaneous structural displacement measuring method
روش اندازه گیری جابجایی ساختاری همزمان با روشنایی مبتنی بر بینایی کامپیوتری-2022
Computer vision-based techniques for structural displacement measurement are rapidly becoming popular in civil structural engineering. However, most existing computer vision-based displace- ment measurement methods require man-made targets for object matching or tracking, besides usually the measurement accuracies are seriously sensitive to the ambient illumination variations. A computer vision-based illumination robust and multi-point simultaneous measuring method is proposed for structural displacement measurements. The method consists of two part, one is for segmenting the beam body from its background, the segmentation is perfectly carried out by fully convolutional network (FCN) and conditional random field (CRF); another is digital image cor- relation (DIC)-based displacement measurement. A simply supported beam is built in laboratory. The accuracy and illumination robustness are verified through three groups of elaborately designed experiments. Due to the exploitation of FCN and CRF for pixel-wise segmentation, numbers of locations along with the segmented beam body can be chosen and measured simul- taneously. It is verified that the method is illumination robust since the displacement measure- ments are with the smallest fluctuations to the illumination variations. The proposed method does not require any man-made targets attached on the structure, but because of the exploitation of DIC in displacement measurement, the regions centered on the measuring points need to have texture feature.
keywords: پایش سلامت سازه | اندازه گیری جابجایی | بینایی کامپیوتر | یادگیری عمیق | تقسیم بندی شی | همبستگی تصویر دیجیتال | Structural health monitoring | Displacement measurement | Computer vision | Deep learning | Object segmentation | Digital image correlation
مقاله انگلیسی
3 Computer vision for solid waste sorting: A critical review of academic research
بینایی کامپیوتری برای تفکیک زباله جامد: مروری انتقادی تحقیقات دانشگاهی-2022
Waste sorting is highly recommended for municipal solid waste (MSW) management. Increasingly, computer vision (CV), robotics, and other smart technologies are used for MSW sorting. Particularly, the field of CV- enabled waste sorting is experiencing an unprecedented explosion of academic research. However, little atten- tion has been paid to understanding its evolvement path, status quo, and prospects and challenges ahead. To address the knowledge gap, this paper provides a critical review of academic research that focuses on CV-enabled MSW sorting. Prevalent CV algorithms, in particular their technical rationales and prediction performance, are introduced and compared. The distribution of academic research outputs is also examined from the aspects of waste sources, task objectives, application domains, and dataset accessibility. The review discovers a trend of shifting from traditional machine learning to deep learning algorithms. The robustness of CV for waste sorting is increasingly enhanced owing to the improved computation powers and algorithms. Academic studies were un- evenly distributed in different sectors such as household, commerce and institution, and construction. Too often, researchers reported some preliminary studies using simplified environments and artificially collected data. Future research efforts are encouraged to consider the complexities of real-world scenarios and implement CV in industrial waste sorting practice. This paper also calls for open sharing of waste image datasets for interested researchers to train and evaluate their CV algorithms.
keywords: زباله جامد شهری | تفکیک زباله | بینایی ماشین | تشخیص تصویر | یادگیری ماشین | یادگیری عمیق | Municipal solid waste | Waste sorting | Computer vision | Image recognition | Machine learning | Deep learning
مقاله انگلیسی
4 یک مدل ریاضی چند منظوره برای زنجیره تامین داروسازی با توجه به تراکم دارو در کارخانه‌ها
سال انتشار: 2022 - تعداد صفحات فایل pdf انگلیسی: 15 - تعداد صفحات فایل doc فارسی: 47
مدیریت زنجیره تامین ( SCM ) , به روش یکی از مسائل مهم در جنبه مدیریتی , نقش مهمی در مقابله با مسایل انسانی و مشکلات ایفا می‌کند . به دلیل برخی محدودیت‌ها ( به عنوان مثال , ظرفیت تولید و ظرفیت ذخیره‌سازی ) و خواسته ها( به عنوان مثال , کاهش هزینه و افزایش درآمد ) , مدیران زنجیره تامین همیشه به دنبال بهترین پاسخ به مقدار و نوع ارتباط بین سطوح مختلف SCM هستند . در تحقیقات آتی , یک زنجیره تامین دارو ( PSC ) با سه تابع هدف توسعه‌یافته , با هدف به حداقل رساندن هزینه‌های کلی , خواسته‌های برآورده نشده , و کاهش زمان انتظار در ورودی کارخانه . در تحقیقات آتی , موضوع کلی و تحقیقات در مدل‌سازی PSC و حل مساله مورد بحث قرار گرفته‌اند . سپس یک مدل برنامه‌ریزی غیرخطی با تحقیقات قبلی برای حل کاستی‌های موجود پیشنهاد شده‌است.
همچنین روش‌های تصمیم‌گیری چند هدفه برای انطباق با اهداف متناقض مدل به طور همزمان استفاده می‌شوند . سپس نرم‌افزار تجاری GAMS برای حل مشکل اندازه‌های مختلف به کار می‌رود . در نهایت ، تحلیل حساسیت گسترده و ارزیابی نتایج مورد بحث قرار می‌گیرد و پیشنهادهای توسعه آتی ارایه می‌شوند.
واژه های کاربردی : زنجیره تامین دارو | فسادپذیری | زمان‌بندی | فهرست | نظریه کیوینگ
مقاله ترجمه شده
5 Advanced digital signatures for preserving privacy and trust management in hierarchical heterogeneous IoT: Taxonomy, capabilities, and objectives
امضای دیجیتالی پیشرفته برای حفظ حریم خصوصی و مدیریت اعتماد در اینترنت اشیا ناهمگون سلسله مراتبی: طبقه بندی، قابلیت ها و اهداف-2022
Internet of Things (IoT) systems in different areas, such as manufacturing, transportation, and healthcare, are the convergence of several technologies. There are many concerns about security and privacy drawbacks in IoT systems. Apart from confidentiality supported by encryption primitives, authenticity and non-repudiation are of utmost importance. IoT entities generally use conventional digital signature schemes to achieve imperative goals. However, there are some state-of-the-art digital signatures with more functionalities, IoT-friendly properties, and privacy-preserving features.
This survey paper aims to accelerate the adoption of advanced digital signatures. We bridge the gap between the advanced theoretical digital signatures recently designed in cryptographic oriented papers and the applied IoT systems. It aids researchers in achieving more security, privacy as well as some unique functionality aspects. First, we illustrate the benefits of the hierarchical and heterogeneous IoT architecture supporting the end-edge-fog-cloud continuum accompanying blockchain technology. Second, our survey delves into five state-of-the-art digital signatures, including randomizable, keyless, double-authentication-prevention, sanitizable, and redactable schemes, that are aligned with entities in IoT systems. We provide an outline, taxonomy, comparison table, and diverse IoT-based use cases for each of them. Then, the integration of primitives and the relationship diagrams give guidelines to help select the appropriate advanced digital signatures and highlights how researchers can use them with different IoT entities for preserving privacy and management of trust.
keywords: امضای دیجیتالی | حفظ حریم خصوصی اینترنت اشیا | بلاک چین | محاسبات ابری | Digital signature | IoT Privacy-preserving | Blockchain | Cloud computing
مقاله انگلیسی
6 Examining the internet of educational things adoption using an extended unified theory of acceptance and use of technology
بررسی پذیرش اینترنت از اشیا آموزشی با استفاده از یک نظریه یکپارچه گسترده پذیرش و استفاده از فناوری-2022
The purpose of this study is to examine the adoption of IoT applications for educational purposes by focusing on students’ perspectives. To validate the internet of educational things (IoET) ap- plications’ acceptance and usage, the main constructs of UTAUT2 theory were integrated with innovativeness and social support constructs. This study adopts a quantitated study method and examined empirically through smart PLS-SEM software, an online questionnaire is established and disseminated to Taibah university students. Results revealed that social support, facilitated conditions, innovativeness, and effort expectancy of UTAUT2 constructs had the strongest effect on IoET applications’ acceptance and usage respectively. Whereas performance expectancy, and perceived usefulness had the weakest effect on IoET adoption respectively. On the other hand, the relationship between perceived ease of use and IoET behavioral intention were not supported because of insignificant relationships. The results demonstrated in this study potentially assist the universities to understand the main determinists of using IoET applications acceptance and usage from students’ perspectives to integrate the IoT concept in teaching and learning.
keywords: اینترنت اشیا آموزشی | حمایت اجتماعی | نوآوری | عربستان سعودی | Internet of educational things | UTAUT2 | Social support | Innovativeness | Saudi Arabia
مقاله انگلیسی
7 The politics behind scientific knowledge: Sustainable forest management in Latin America
سیاست پشت دانش علمی: مدیریت جنگل پایدار در آمریکای لاتین-2021
Sustainable Forest Management (SFM) seeks to achieve an equilibrium in the economic, social and environ- mental value of all types of forests. This practice contrasts with the conventional view of managing forests, in which the focus is productivity. Thus, discussions about conventional forest management versus sustainable forest management play a central role in the political and scientific agendas. However, knowledge production and its direction can be biased by different contextual factors such as the way funding is assigned by each country, institutional priorities, and constraints on international cooperation. With this paper, we aim to analyze the contribution of scientific knowledge produced in Latin America within the sustainable forest management research landscape by applying a literature review method (Scopus database for 2015–2018 period). Our results show a similar contribution of national and foreign funds and institutions supporting scientific knowledge about SFM in Latin America. Foreign funding comes mainly from United States of America, and Europe. Latin American authors lead high proportion of scientific articles, and authorship gender was more equitable between male and female researchers. The studies were mostly focused on conservation combined with productivity goals, as well as pure conservation goals, although social studies and restoration goals were also present. Our findings highlight a significant contribution to the paradigm shift in half of the scientific articles. Some studies provided recom- mendations (specific or general) derived from their results, but we did not detected a clear relationship with funding origin. Moreover, we found that the high contribution to the paradigm shift (studies supporting SFM instead of traditional management) came from institutions based in Latin America. This article aims to contribute to discussions related to scientific funding in Latin America, the North-South scientific relations, and the future of forest in times of climate change.
keywords: سیاست های جنگلداری | همکاری بین المللی | بررسی ادبیات | منابع طبیعی | تحقیق و توسعه | بودجه پژوهشی | Forestry policies | International cooperation | Literature review | Natural resources | Research and development | Research funding
مقاله انگلیسی
8 The effects of personal information management capabilities and social-psychological factors on accounting professionals’ knowledge-sharing intentions: Pre and post COVID-19
تأثیر قابلیت های مدیریت اطلاعات شخصی و عوامل اجتماعی-روانشناختی بر اهداف به اشتراک گذاری دانش حرفه ای حسابداری: پیش و پست Covid-19-2021
Given the increased emphasis on individual factors in knowledge management research, this study proposes a research model that examines the effects of personal information management capabilities and social-psychological factors on the knowledge-sharing intention of accounting professionals. The survey results from 136 accounting professionals reveal that both personal information management capabilities and perceived image can positively influence knowledge- sharing behavior. Conversely, reciprocity and loss of knowledge power do not exhibit a signifi- cant role in knowledge-sharing intentions. The comparison analyses between pre- and post- COVID-19 sample groups indicate similar results for the hypothesized relationships while there are notable mean differences in knowledge sharing intention, image and information processing capabilities. This study extends current research by incorporating personal information man- agement capabilities to examine the power of the “individual” in knowledge sharing and offers timely evidence of accounting professionals’ personal knowledge management practices during the period of COVID-19. This study raises implications for researchers and practitioners interested in knowledge management in the accounting profession.
keywords: تصویر | قصد به اشتراک گذاری دانش | از دست دادن قدرت دانش | قابلیت های مدیریت اطلاعات شخصی | متقابل | Image | Knowledge-sharing intention | Loss of knowledge power | Personal information management capabilities | Reciprocity
مقاله انگلیسی
9 The relationship between syntactic complexity and rhetorical move-steps in research article introductions: Variation among four social science and engineering disciplines
رابطه پیچیدگی نحوی و گام‌های حرکت بلاغی در مقدمه‌های مقاله پژوهشی: تنوع در میان چهار رشته علوم اجتماعی و مهندسی-2021
This study investigates disciplinary variation in the relationship between syntactic complexity and rhetorical move-steps in research article (RA) introductions. Our data consisted of the introduction sections of 400 published RAs in two core social science disciplines, Anthropology and Sociology, and two core engineering disciplines, Chemical Engineering and Electrical Engineering. Each sample was manually annotated for rhetorical move-steps using an adapted version of Swales’ (2004) revised Create a Research Space model and assessed for syntactic complexity using multiple measures of global complexity, finite subordination, clausal elaboration, and phrasal complexity. Our results revealed significant disciplinary variation in terms of the syntactic complexity of sentences realizing each of six rhetorical move-steps commonly found in RA introductions. Our findings contribute to the emerging understanding of disciplinary variation in function-form mappings in RA writing and have useful implications for genre-based academic writing research and pedagogy.
Keywords: Academic writing | Disciplinary variation | Function-form mappings | Genre analysis | Linguistic features | Rhetorical goals
مقاله انگلیسی
10 Accounts of NGO performance as calculative spaces: Wild Animals, wildlife restoration and strategic agency
حساب های عملکرد سازمان های غیر دولتی به عنوان فضاهای محاسباتی: حیوانات وحشی، ترمیم حیات وحش و آژانس استراتژیک-2021
Whereas corporations typically share a common primary objective of generating profits for their owners, non-governmental organisations (NGOs) principally pursue a panoply of various social and/or ecological objectives. Accordingly, an NGO’s performance in pursuit of its objectives can rarely be accounted for in straightforwardly comparable quantitative terms. How then can an NGO instead construct qualitative accounts of its performance that show how it makes a differ- ence in pursuit of its objectives? This paper examines qualitative accounts of performance against an objective to restore wildlife, which are included in the annual reports of a large conservation NGO. These accounts are conceptualised as being calculative spaces, configured by framing work being done within these accounts. Analysis of this framing work finds that these accounts identify a performance object (i.e. specific wild animal populations), establish relations that seemingly affect this performance object (i.e. threats to wild animal populations and actions to conserve these populations), and attribute the NGO with agency to make a difference to this performance object (i.e. as a strategic actor directing and co-ordinating wildlife restoration). Thus, this paper demonstrates that seeing quantitative and qualitative accounts of organisational performance in the same conceptual terms creates conditions of possibility for developing a fuller understanding of an organisation’s calculations of its own capacity to act upon society.
keywords: سازمان غیر دولتی | مسئوليت | کادر بندی | محاسبات | گفتمان | حفاظت | NGO | Accountability | Framing | Calculation | Discourse | Conservation
مقاله انگلیسی
rss مقالات ترجمه شده rss مقالات انگلیسی rss کتاب های انگلیسی rss مقالات آموزشی
logo-samandehi
بازدید امروز: 2937 :::::::: بازدید دیروز: 0 :::::::: بازدید کل: 2937 :::::::: افراد آنلاین: 71