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نتیجه جستجو - پوشش

تعداد مقالات یافته شده: 268
ردیف عنوان نوع
1 Internet of Things-enabled Passive Contact Tracing in Smart Cities
ردیابی تماس غیرفعال با قابلیت اینترنت اشیا در شهرهای هوشمند-2022
Contact tracing has been proven an essential practice during pandemic outbreaks and is a critical non-pharmaceutical intervention to reduce mortality rates. While traditional con- tact tracing approaches are gradually being replaced by peer-to-peer smartphone-based systems, the new applications tend to ignore the Internet-of-Things (IoT) ecosystem that is steadily growing in smart city environments. This work presents a contact tracing frame- work that logs smart space users’ co-existence using IoT devices as reference anchors. The design is non-intrusive as it relies on passive wireless interactions between each user’s carried equipment (e.g., smartphone, wearable, proximity card) with an IoT device by uti- lizing received signal strength indicators (RSSI). The proposed framework can log the iden- tities for the interacting pair, their estimated distance, and the overlapping time duration. Also, we propose a machine learning-based infection risk classification method to char- acterize each interaction that relies on RSSI-based attributes and contact details. Finally, the proposed contact tracing framework’s performance is evaluated through a real-world case study of actual wireless interactions between users and IoT devices through Bluetooth Low Energy advertising. The results demonstrate the system’s capability to accurately cap- ture contact between mobile users and assess their infection risk provided adequate model training over time. © 2021 Elsevier B.V. All rights reserved.
keywords: بلوتوث کم انرژی | ردیابی تماس | اینترنت اشیا | طبقه بندی خطر عفونت | Bluetooth Low Energy | Contact Tracing | Internet of Things | Infection Risk Classification
مقاله انگلیسی
2 The application of computer vision systems in meat science and industry – A review
کاربرد سیستم های بینایی کامپیوتری در علم و صنعت گوشت – مروری-2022
Computer vision systems (CVS) are applied to macro- and microscopic digital photographs captured using digital cameras, ultrasound scanners, computer tomography, and wide-angle imaging cameras. Diverse image acquisi- tion devices make it technically feasible to obtain information about both the external features and internal structures of targeted objects. Attributes measured in CVS can be used to evaluate meat quality. CVS are also used in research related to assessing the composition of animal carcasses, which might help determine the impact of cross-breeding or rearing systems on the quality of meat. The results obtained by the CVS technique also contribute to assessing the impact of technological treatments on the quality of raw and cooked meat. CVS have many positive attributes including objectivity, non-invasiveness, speed, and low cost of analysis and systems are under constant development an improvement. The present review covers computer vision system techniques, stages of measurements, and possibilities for using these to assess carcass and meat quality.
keywords: سیستم بینایی کامپیوتری | گوشت | محصولات گوشتی | لاشه | Computer vision system | Meat | Meat products | Carcass
مقاله انگلیسی
3 تجزیه و تحلیل پوششی داده مبتنی بر نسبت: یک رویکرد تعاملی برای شناسایی معیار
سال انتشار: 2022 - تعداد صفحات فایل pdf انگلیسی: 14 - تعداد صفحات فایل doc فارسی: 40
در دنیای واقعی ما با موارد زیادی مواجه هستیم که در آن نسبت داده های ورودی/خروجی برای مدیران بسیار مهم است، بنابراین در این رابطه نمی توان از مدل های سنتی تحلیل پوششی داده (DEA) برای ارزیابی کارایی واحدهای تصمیم گیری (DMU) استفاده کرد، و باید از مدل های DEA بر اساس داده های نسبت بهره برد. برای بدست آوردن معیار مربوطه برای هر واحد تصمیم‌گیری ناکارآمد، باید ورودی‌ها و خروجی‌ها را به ترتیب کاهش و افزایش دهیم و به یک پیش‌بینی واحد و منسجم تصمیم‌گیرنده در مرز کارایی برسیم. در این مقاله ما یک مدل برنامه‌ریزی خطی چندهدفه (MOLP) (multi-objective linear programming) را برای ارزیابی کارایی بر اساس تعریف مجموعه امکان تولید در حضور داده‌های نسبت و به دست آوردن معیار مربوطه برای هر واحد تصمیم‌گیری DMU ارائه می‌کنیم. ما از روش تعاملی زایونتس و والنیوس (Z-W) برای حل مدل MOLP ارائه شده استفاده می‌کنیم. با استفاده از تنظیم هدف توسط مدیر از بین راه حل های حاصل از مسئله MOLP، بهترین راه حل را با توجه به ترجیحات مدیران به عنوان معیار انتخاب می کنیم و در پایان نتایج تحقیق را ارائه می کنیم.
واژگان کلیدی: کارایی | DEA-R | معیار | برنامه ریزی چند هدفه | روش تعاملی
مقاله ترجمه شده
4 Wireless Sensor Network coverage optimization based on Yin–Yang pigeon-inspired optimization algorithm for Internet of Things
بهینه سازی پوشش شبکه حسگر بی سیم بر اساس الگوریتم بهینه سازی الهام گرفته از کبوتر یین یانگ برای اینترنت اشیا-2022
As an important technology of Internet of Things (IoT), wireless sensor network (WSN) has the problem of low coverage caused by uneven nodes distribution. Aiming at the problem, a WSN coverage optimization method based on the Yin–Yang pigeon-inspired optimization algorithm (Yin–YangPIO) is proposed. Firstly, the good point set is introduced into initialization phase which makes pigeon population more evenly distributed in the solution space; then, Yin– Yang-pair optimization algorithm (YYPO) and pigeon-inspired optimization algorithm (PIO) are combined, and different strategies are used in the map and compass operator and the landmark operator to improve the optimization ability; later on, the opposition-based learning is added to PIO to expand the search range; finally, several functions are selected to prove the optimization ability of the Yin–YangPIO. Through three sets of WSN coverage optimization experiments with different parameters, the effectiveness of the proposed method in WSN coverage optimization is demonstrated.
Keywords: Wireless sensor network | Pigeon-inspired optimization algorithm | Yin–Yang-pair optimization algorithm | Opposition-based learning | Internet of Things | شبکه حسگر بی سیم | الگوریتم بهینه سازی الهام گرفته از کبوتر | الگوریتم بهینه سازی جفت یین یانگ | یادگیری مبتنی بر مخالفت | اینترنت اشیا
مقاله انگلیسی
5 Efficient and sustainable closed-loop supply chain network design: A two-stage stochastic formulation with a hybrid solution methodology
طراحی شبکه زنجیره تامین حلقه بسته کارآمد و پایدار: یک فرمول تصادفی دو مرحله ای با روش راه حل ترکیبی-2021
In recent years, consumers and legislators have pushed companies to design their supply chain networks to consider environmental and social impacts as an important performance outcome. Due to the role of resource utilization as a key component of logistics network design, another primary goal of design is ensuring available scarce resources are used as efficiently as possible across all facilities. To address efficiency issues in a sustainable closed-loop supply chain network, a stochastic integrated multi-objective mixed integer nonlinear programming model is developed in this paper, in which sustainability outcomes as well as efficiency of facility resource utilization are considered in the design of a sustainable supply chain network. In doing so, efficiency is assessed using a bi-objective output-oriented data envelopment analysis model. A hybrid three-step solution methodology is presented that creates a linear form of the original mixed integer nonlinear programming problem using piecewise McCormick envelopes approach. In the second step, an aggregated single objective programming model is derived by exploiting the multi-choice goal programming. Finally, a Lagrangian relaxation algorithm is developed to effectively solve the latter stochastic single objective mixed integer linear programming problem. The application of the proposed approach is investigated with data drawn from a case study in the electronics industry. This case study illustrates how firms may balance sustainability and efficiency in the supply chain network design problem. Further, it demonstrates the integration of efficiency results in improving economic aspects of sustainability as well as social responsibility outcomes, but also highlights the trade-offs that exist between efficiency and environmental impacts.
Keywords: Closed-loop supply chain network | Sustainability | Data envelopment analysis | Stochastic programming | Multi-choice goal programming | Lagrangian relaxation
مقاله انگلیسی
6 Improved optical and electrical properties for heterojunction solar cell using Al2O3/ITO double-layer anti-reflective coating
بهبود خواص نوری و الکتریکی برای سلول های خورشیدی ناهمگون با استفاده از پوشش ضد انعکاس دو لایه Al2O3/ITO-2021
Silicon heterojunction solar cells have been gaining remarkable attention in the photovoltaic industry in recent years owing to their low temperature coefficient and high efficiency. This study aimed to maximize the short circuit current density (Jsc), which is directly correlated with the absorbance of the solar cells. An advanced ray tracking model and hall effect measurement was used to improve the optical properties of Al2O3/ITO as a double layered anti-reflection coating (DLARC) on the solar cell. RF/DC power sputtering system was used to deposit ITO layer, while atomic layer deposition was used to deposit Al2O3 on ITO to create a DLARC. An average decrease in reflection from 9.33% to 4.74% and enhancement in EQE from 76.89% to 84.34% were observed for the DLARC in the wavelength spectrum at 300–1100 nm. It also exhibited a higher Jsc value of 41.13 mA/cm2 and maximum conversion efficiency of 21.6%. The findings of both simulation and experiments showed that the Al2O3/ITO DLARC has better anti-reflection properties than a single-layer ITO coating.
Keywords: Silicon heterojunction solar cell | Double layered anti-reflection coating | Optical Properties | Electrical Properties
مقاله انگلیسی
7 Accounting-based downside risk and expected stock returns: Evidence from China
ریسک نزولی مبتنی بر حسابداری و بازده سهام مورد انتظار: شواهدی از چین-2021
We document that earnings downside risk contains information on firms’ future operating performance and is positively associated with expected stock returns in Chinese stock markets, and the return predictability of earning downside risk mainly comes from its accrual downside risk component. The pricing of earnings downside risk is especially evident among firms with more transparent information environment and stronger governance efficacy, such as large firms, non-high-tech firms, old firms, and firms with high analyst coverage. Lastly, we show that aggregated earnings downside risk and its components at the market level are all significantly and positively associated with subsequent stock market returns, which is consistent with the notion that the accounting-based downside risk measures contain information about future macroeconomic conditions.
keywords: ریسک نزولی مبتنی بر حسابداری | محیط اطلاعات | بازده سهام | بازارهای سهام چینی | Accounting-based downside risk | Information environment | Stock returns | Chinese stock markets
مقاله انگلیسی
8 Linking standard Economic Account for Forestry and ecosystem accounting: Total forest incomes and environmental assets in publicly-owned conifer farms in Andalusia-Spain
پیوند حساب استاندارد اقتصادی برای حسابداری جنگلداری و اکوسیستم: کل درآمد جنگل ها و دارایی های محیطی در مزارع عمومی متعلق به مالکیت در اندلس اسپانیا-2021
A major problem faced by government as trustee of society charged with conserving the nation’s forest envi- ronmental asset is that the standard Economic Account for Forestry (EAF) fails to measure the contribution of nature to total forest incomes and environmental assets. In the context of this government mission, the debate arises with regard to how to uncover the contribution of nature to the total forest incomes enjoyed by people through a refined accounting framework which extends the EAF. The latter is applied by the statistics office to estimate the values added of timber, firewood, cork, resin, industrial nut and other non-woody final products of the forest at national/sub-national scale. Bearing in mind this narrow scope of the EAF, this research proposes the application of the experimental Agroforestry Accounting System (AAS), which extends the forest incomes and environmental asset estimates by applying simulated exchange values stated/revealed by consumers for non- market public goods and services. We apply the EAF and AAS frameworks to 12 large publicly-owned pro- tected conifer forest farms which are not available for sale on the competitive land market and which cover an area of 47,262 ha in Andalusia-Spain. In this conifer farm case study, the EAF considers the economic activities of timber, firewood, aromatic plants and residential service. The AAS adds to the EAF activities those of grazing, conservation forestry, hunting, livestock, agricultural crops, livestock-keeper private amenity, fire services, free access recreation, mushrooms, carbon, landscape conservation, threatened wild biodiversity and water supply runoff stored lower down the watershed in public reservoirs. The objectives of this conifer farm case study are, first, to compare the final products and incomes estimated by applying the EAF and AAS frameworks and, second, to measure the sensitivity of conifer farm environmental assets to changes in land ownership rights and dis- counting rates in accordance with the AAS results. The conifer farm results show total income measured by the AAS is 38 times higher than the EAF net value added (NVA) for the 2010 period. The AAS economic activities of forestry conservation, fire services and landscape conservation activities generate 71% of the conifer farm labour compensation. The AAS opening environmental asset measured at the assumed competitive real baseline dis- counting rate of 3% is 6371.6 €/ha, which is 3.7 times lower than it would be if the conifer farm was available for sale on the competitive land market. The change in the baseline discounting rate chosen, from 3% to 1.5%, would lead to an increase of 116% in the value of the opening environmental asset. The above results reveal the inconsistent EAF measurement of total conifer farm incomes. The sensitivity analysis underlines the important effects on the environmental asset arising from changes in land ownership rights and discounting rates.
keywords: حساب اقتصادی برای جنگلداری | سیستم حساب های ملی | سیستم حسابداری جنگلداری | خدمات محیط زیستی | درآمد زیست محیطی | Economic account for forestry | System of national accounts | Agroforestry accounting system | Ecosystem services | Environmental income
مقاله انگلیسی
9 Cybersecurity knowledge and skills for port facility security officers of international seaports_ Perspectives of IT and security personnel
دانش و مهارت های امنیتی سایبری برای افسران امنیتی تأسیسات پورت از دریاها بین المللی، دیدگاه های IT و پرسنل امنیتی-2021
Cyberattacks on worldwide port facilities have highlighted the urgent need for port facility security officers (PFSOs) to upgrade their cybersecurity knowledge and skills. This study used the survey data from all international container ports in Thailand and analyzed the results from two perspectives, i.e., IT and security officers. Based on 73 responses, cybersecurity knowledge and skill would become essential for PFSOs than ever before because the port digitalization and automation would shape the PFSOs career to a technically- oriented specialist rather than a multi-skilled generalist. Furthermore, the responsibilities of PFSOs would extend to cover cyber risk management, which enables them to prevent the digital port facilities from emerging cyber threats. Therefore, they should learn how to incorporate the existing risk management process with cyber risk management and cybersecurity knowledge because these would be the foundation for PFSOs to practice cybersecurity skills. At the end of the learning process, PFSOs could also gain cyber- security competence once they have mature knowledge and skill, which would be the vital element of port security hygiene. © 2021 The Authors. Production and hosting by Elsevier B.V. on behalf of The Korean Association of Shipping and Logistics, Inc. This is an open access article under the CC BY-NC-ND license (http:// creativecommons.org/licenses/by-nc-nd/4.0/). CC_BY_NC_ND_4.0
keywords: دانش سایبری | مهارت های سایبری | افسران امنیتی تسهیلات پورت | بنادر کانتینر بین المللی | Cybersecurity knowledge | Cybersecurity skills | Port facility security officers | International container ports
مقاله انگلیسی
10 Utilizing LiDAR data to map tree canopy for urban ecosystem extent and condition accounts in Oslo
با استفاده از داده های LIDAR به نقشه سایبان درخت برای اکوسیستم های شهری و حساب های وضعیت در اسلو-2021
LiDAR-based segmentation of urban tree canopies and their physical properties (canopy height, canopy diameter, 3D surface and volume) is a replicable, complementary and useful information source for urban ecosystem condition accounts, and an important basis for ecosystem service modeling and valuation. However, using available LiDAR data collected for municipal purposes other than vegetation mapping (such as for example engineering) entails a level of accuracy which may limit the usefulness of the data for change detection in ecosystem accounts. To account for changes in the urban tree canopy of Oslo (capital city of Norway) between 2011 and 2017, a segmentation model was developed based on available airborne LiDAR data scanned for general purposes. The results from the entire built-up area of Oslo indicate a general increase in the number of tall trees (>15 m) and a moderate increase in the number of small trees (<15 m), with the exception of trees between 6 and 10 m which seem to have a relatively constant development over the given period. The total tree canopy area within the built-up area increased by 17.15%, with a corresponding 21.35% increase in the tree canopy volume. The results for the Small House plan area, a policy focus area subject to urban densification and special regulations for felling of large trees, indicate a large increase in small trees (<10 m) and a moderate decrease in tall trees (>10 m). The total tree canopy area within the Small House plan area decreased by 1.04%, with a corresponding 2.13% decrease in the tree canopy volume. With respect to the segmentation accuracy, the changes in aggregate tree canopy cover are too small to determine canopy change with confidence. This study demonstrates the potential for identifying ecosystem condition indicators as well as the limitations of using general purpose LiDAR data to improve the precision of urban ecosystem accounting. For future ecosystem service accounting in urban environments, we recommend that municipalities implement data acquisition programs that combine concurrent field data sampling and LiDAR campaigns designed for urban tree canopy detection, as part of general urban structural inventorying. We recommend using LiDAR and satellite remote sensing data depending on canopy densities. We also recommend that future tree canopy segmentation is done within a cloud-computing environment to ensure sufficient geoprocessing capacity.
keywords: تشخیص نور و محدوده (LIDAR) | سیستم های اطلاعات جغرافیایی (GIS) | سنجش از راه دور | حسابداری اکوسیستم | خدمات محیط زیستی | تقسیم بندی سایبان درخت | Light Detection And Ranging (LiDAR) | Geographical Information Systems (GIS) | Remote sensing | Ecosystem accounting | Ecosystem services | Tree canopy segmentation
مقاله انگلیسی
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