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نتیجه جستجو - Campaigns

تعداد مقالات یافته شده: 64
ردیف عنوان نوع
1 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
2 Problems of Poison: New Paradigms and "Agreed" Competition in the Era of AI-Enabled Cyber Operations
مسئله سم: پارادایم های جدید و رقابت "توافق شده" در عصر عملیات سایبری با هوش مصنوعی-2020
Few developments seem as poised to alter the characteristics of security in the digital age as the advent of artificial intelligence (AI) technologies. For national defense establishments, the emergence of AI techniques is particularly worrisome, not least because prototype applications already exist. Cyber attacks augmented by AI portend the tailored manipulation of human vectors within the attack surface of important societal systems at great scale, as well as opportunities for calamity resulting from the secondment of technical skill from the hacker to the algorithm. Arguably most important, however, is the fact that AI-enabled cyber campaigns contain great potential for operational obfuscation and strategic misdirection. At the operational level, techniques for piggybacking onto routine activities and for adaptive evasion of security protocols add uncertainty, complicating the defensive mission particularly where adversarial learning tools are employed in offense. Strategically, AI-enabled cyber operations offer distinct attempts to persistently shape the spectrum of cyber contention may be able to pursue conflict outcomes beyond the expected scope of adversary operation. On the other, AI-augmented cyber defenses incorporated into national defense postures are likely to be vulnerable to “poisoning” attacks that predict, manipulate and subvert the functionality of defensive algorithms. This article takes on two primary tasks. First, it considers and categorizes the primary ways in which AI technologies are likely to augment offensive cyber operations, including the shape of cyber activities designed to target AI systems. Then, it frames a discussion of implications for deterrence in cyberspace by referring to the policy of persistent engagement, agreed competition and forward defense promulgated in 2018 by the United States. Here, it is argued that the centrality of cyberspace to the deployment and operation of soon-to-be-ubiquitous AI systems implies new motivations for operation within the domain, complicating numerous assumptions that underlie current approaches. In particular, AI cyber operations pose unique measurement issues for the policy regime.
Keywords: deterrence | persistent engagement | cyber | AI | machine learning
مقاله انگلیسی
3 How signal intensity of behavioral orientations affects crowdfunding performance: The role of entrepreneurial orientation in crowdfunding business ventures
چگونه شدت سیگنال جهت گیری های رفتاری بر عملکرد سرمایه گذاری جمعی تأثیر می گذارد: نقش جهت گیری کارآفرینی در سرمایه گذاری های سرمایه گذاری جمعی-2020
Backers assess a crowdfunding campaign description not merely for a project’s capacity to deliver a reward, but also for the manner in which that reward is delivered. Viewed through the lens of signalling theory, crowd- funding performance depends on the signals of behavioural orientations. While earlier research has explored the positive and negative effects of signals of behavioural orientation, signal intensity merits exploration. We ex- plored signal intensity among 48,628 reward-based crowdfunding campaigns and focused on entrepreneurial orientation to categorize signals of behavioural orientations. We show that signals of autonomy, innovativeness, competitive aggressiveness, and risk-taking have an inverted-U-shaped relationship with crowdfunding perfor- mance. Signals of proactiveness have a positive non-monotonic relationship with crowdfunding performance.
Keywords: Crowdfunding | Entrepreneurship | Entrepreneurial orientation | Signalling | Entrepreneurial financing | Kickstarter
مقاله انگلیسی
4 Investigating the impact of multidimensional social capital on equity crowdfunding performance
بررسی تأثیر سرمایه اجتماعی چند بعدی بر عملکرد سرمایه گذاری جمعی سهام-2020
This research explores how social capital, in the multidimensional perspective using cognitive, relational and structural dimensions influences equity-crowdfunding (ECF) performance considering both the number of investors engaged and the funds collected. Our results demonstrate that cognitive dimensions in part affects ECF performance, in fact shared meaning has a little positive impact on both funding collected and the number of investors, while shared language has a negative effect on the investors involved. Both obligation and trust- worthiness (relational dimension) positively influence ECF performance. Regarding the structural dimension, social network ties has positive effects on ECF performance, while social interactions has a positive impact on funding collected. The research contributes to the current literature on ECF and highlights new factors affecting ECF performance. The study has implications from both a theoretical and a practical perspective. The study findings will be relevant for entrepreneurs, platforms managers and policymakers and offers avenues for further research.
Keywords: Crowdfunding | Entrepreneurship | Social capital | Equity | Campaigns
مقاله انگلیسی
5 Explainability and Dependability Analysis of Learning Automata based AI Hardware
تحلیل توضیح و قابلیت اطمینان یادگیری سخت افزار هوش مصنوعی مبتنی بر Automata-2020
Explainability remains the holy grail in designing the next-generation pervasive artificial intelligence (AI) systems. Current neural network based AI design methods do not naturally lend themselves to reasoning for a decision making process from the input data. A primary reason for this is the overwhelming arithmetic complexity. Built on the foundations of propositional logic and game theory, the principles of learning automata are increasingly gaining momentum for AI hardware design. The lean logic based processing has been demonstrated with significant advantages of energy efficiency and performance. The hierarchical logic underpinning can also potentially provide opportunities for bydesign explainable and dependable AI hardware. In this paper, we study explainability and dependability using reachability analysis in two simulation environments. Firstly, we use a behavioral SystemC model to analyze the different state transitions. Secondly, we carry out illustrative fault injection campaigns in a low-level SystemC environment to study how reachability is affected in the presence of hardware stuck-at 1 faults. Our analysis provides the first insights into explainable decision models and demonstrates dependability advantages of learning automata driven AI hardware design.
Keywords: Rainfall | Artificial | Computing | Simulation | Architecture
مقاله انگلیسی
6 Big data analytics for supply chain relationship in banking
تجزیه و تحلیل داده های بزرگ برای رابطه زنجیره تأمین در بانکداری-2020
This paper reports how a commercial bank in Asia uses big data analytic as a tool to explore the internal B2B data to improve supply chain finance and the efficiency of marketing tactics and campaigns. A case study was conducted by analyzing two types of supply chain relationships: (1) supply chain relationships in the credit reports; (2) e-wiring transactions among supply chain companies. The results show that big data analytics is very useful in terms of improving the commercial banks marketing and risk management performances. The case study also set a good example for B2B firms seeking to understand how they could leverage big data analytics to differentiate customer solutions, sustain profitability and generate new business values. Theorical and practical implications are also discussed.
Keywords: Supply chain finance | B2B analytics
مقاله انگلیسی
7 China’s green future and household solid waste: Challenges and prospects
آینده سبز چین و ضایعات جامد خانگی: چالش ها و چشم انداز-2020
China is facing the dual challenge of economic development and environment protection. Recently, Shanghai (tier-1 city) implemented the pilot project of household solid waste (HSW) management and expects to execute a similar project in 45 cities across China by 2020. The current research’s aim is to examine the pilot project’s progress by comparing it with existing HSW management practice in other cities. From a theoretical perspective, a socio-ecological framework is used to examine citizens’ HSW sorting behavior (HSWSB), which is further mapped based on the theory of planned behavior to enrich the findings. A total of 1409 citizen responses are utilized to generalize the findings. The study concludes that replicating tier-1 practices in other cities could produce unsatisfactory results. The regulatory environment should focus on comparatively long-lasting citizen behavior change by designing a citizencentric approach (i.e., awareness campaigns) related to ecological concerns (i.e., climate change) because it could define the future of HSWSB practice in Chinese society.
Keywords: Socio-ecological framework | Theory of planned behavior | Household solid waste | Waste sorting | China
مقاله انگلیسی
8 Free-play impact by customer segment
تأثیر بازی رایگان توسط بخش مشتری-2020
Little is known about the effectiveness of casino free-play campaigns, despite hundreds of millions of dollars in annual redemptions. These costly play incentives are awarded to individual players, based largely on management’s evaluation of their historical play. Extant campaign-level research suggests these incentives may not be effective in driving spend per visit, but there has been no attempt to examine efficacy across player tiers (e.g., light, medium, and heavy users). Analysis of 365 days of performance data from a Las Vegas Strip casino produced varied results across tiers, but all tier-level findings indicated a failure to recover the face value of the freeplay incentives. While no support was garnered for the house money effect, the results were consistent with the notion of loss aversion. The methodological approach outlined herein provides the means to critically evaluate free-play offers at the tier level, fast-tracking campaign optimization via more targeted revisions.
Keywords: Casino marketing | Casino management | Free-play offers | House money effect | Loss aversion | Endowment effect | Reverse house money effect | rospect-theory-with-memory effect
مقاله انگلیسی
9 Energy management strategy to reduce pollutant emissions during the catalyst light-off of parallel hybrid vehicles
استراتژی مدیریت انرژی برای کاهش انتشار آلاینده ها در هنگام خاموش شدن کاتالیزور وسایل نقلیه هیبریدی موازی-2020
The transportation sector is a major contributor to both air pollution and greenhouse gas emissions. Hybrid electric vehicles can reduce fuel consumption and CO2 emissions by optimizing the energy management of the powertrain. The purpose of this study is to examine the trade-off between regulated pollutant emissions and hybrid powertrain efficiency. The thermal dynamics of the three-way catalyst are taken into account in order to optimize the light-off. Experimental campaigns are conducted on a spark-ignition engine to introduce simplified models for emissions, exhaust gas temperature, catalyst heat transfers and efficiency. These models are used to determine the optimal distribution of a power request between the thermal engine and the electric motor with three-dimensional dynamic programming and a weighted objective function. A pollution-centered scenario is compared with a consumption-centered scenario for various driving cycles. The optimal torque distribution for the emissions-centered scenario on the world harmonized light-duty vehicles test cycle shows an 8–33% decrease in pollutant emissions while the consumption remains stable (0.1% increase). The consistency of the results is analyzed with respect to the discretization parameters, driving cycle, electric motor and battery sizing, as well as emission and catalyst models. The control strategies are promising but will have to be adapted to online engine control where the driving cycle and the catalyst efficiency are uncertain..
Keywords: Hybrid electric vehicle | Energy management strategy | Dynamic programming | Catalyst thermal behavior | Fuel consumption | Pollutant emissions
مقاله انگلیسی
10 User engagement for mobile payment service providers : introducing the social media engagement model
تعامل کاربر برای ارائه دهندگان خدمات پرداخت تلفن همراه: معرفی مدل تعامل رسانه های اجتماعی-2020
Twitter is being used by mobile wallet firms for customer acquisition, relationship management, marketing and promotional purposes. This study examines service advertisement and promotional tweets by mobile wallet firms on Twitter. For this study, timeline data of top four mobile wallet firms of India, Paytm, MobiKwik, Freecharge and Oxigen Wallet were extracted from their Twitter screen (firm generated tweets). The user generated tweets were also extracted, using the search terms as firms name. This study proposes a Social Media Engagement model for understanding user dynamics. The study provides three interesting inputs for promotional marketing tweets, firstly, firm should post mix of the tweets with respect to content type (i.e. informational, entertainment, remuneration and social). Secondly, a periodic campaigning is needed by the firms; and lastly, firms should focus on increasing their network size. The implications of these findings can help firms managers and marketers in planning effective social media marketing campaigns.
Keywords: Social media marketing | Digital payments | Twitter analytics | Mobile wallets | Customer engagement
مقاله انگلیسی
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