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Maria Teresa Cuomo,Francesca Ceruti,Alice Mazzucchelli,Angelo Di Gregorio,Debora Tortora,Gerardino Metallo 글로벌지식마케팅경영학회 2016 Global Marketing Conference Vol.2016 No.7
The paper focuses on the social commerce paradigm, underlining how social media are able to assist e-retailers in their effort of creating a total omni-channel e-customer experience. The empirical research represents a new prospect on the topic, because nowadays social commerce is not completely understood and realized from a managerial perspective.
Pantea Foroudi,Maria Teresa Cuomo,Mohammad M. Foroudi 글로벌지식마케팅경영학회 2016 Global Marketing Conference Vol.2016 No.7
Organisations encourage shareholders to invest in the place and the place audience relies on place reputation when making investment decisions and product choices. Given the significance of the place branding and place heritage and building upon the evidence discussed, this research is one of the first attempts at collecting empirical evidence that seeks to prove that a favourable place branding and place branding heritage influence a favourable place image and favourable place reputation. This study aims to explore employees and visitors/consumers’ perceptions and practices regarding the place branding and the main factors that influence place branding suitability at a visitor/consumer/employee level. By achieving these objectives, it is expected that the investigation will add to current knowledge about the place branding and provide practical insights to managers and decision-makers. Based on the research objectives of this study, three overall research questions are: (i) What are the factors that influence place branding favourability, (ii) What are the main influences of place heritage favourability on favourable place branding?, and (iii) What are the main influences of place branding favourability on favourable place image and favourable place reputation? This research addresses the general goals: first, it explores the concept of the place branding and its dimensions. Second, it identifies the factors that are most likely to have a significance influence on the favourable place branding (antecedents of the favourable place branding). Third, it develops and empirically assesses a model concerning the relationships between favourable place branding, its antecedents and its consequences. Fourth, it examines the influence of the favourable place heritage on place branding. Finally, it investigates the impact of the favourable place branding on favourable place image and favourable place reputation (consequences of the favourable place branding). Despite the potentially significant role of the favourable place branding, little empirical research has examined how the favourable place branding exposes corporations and their members to far greater scrutiny. Creating a employee/consumer/visitor level model based on attribution theory demonstrates the issues retailers face in relation to place branding: (i) the association between the place branding concept and its elements that foster or discourage; (ii) its benefits or outcome for place; (iii) the relationships between other theoretically and empirically identified variables. In order to fill this gap in the academic literature, prior studies and the insights gained from current field research were reviewed. The model and various propositions developed thereafter, merit further study.
Infotainment Services Based on Push-Mode Dissemination in an Integrated VANET and 3G Architecture
Baiocchi, Andrea,Cuomo, Francesca The Korea Institute of Information and Commucation 2013 Journal of communications and networks Vol.15 No.2
Given the bandwidth assignment for dedicated short range communications for use in vehicular ad-hoc network (VANET) and the expected introduction of equipment in the next few years, we elaborate on how VANET can support infotainment services. We define an architectural model for the integration of VANETs and cellular networks, according to a push mode paradigm where VANETs are used primarily to disseminate service announcements and general interest messages. Cooperation with cellular network is addressed by comparing architecture alternatives. A set of information dissemination protocols for VANETs is compared via simulations on a real urban map. Some results from a lab testbed based on IEEE 802.11p boards are presented along with an application developed for Android operating system to demonstrate the concept of the paper.
D.Kang,J.J.Cuomo 한양대학교 세라믹연구소 2002 Journal of Ceramic Processing Research Vol.3 No.3
Even though surface treatment has proven useful for both metal and diamond field emitters, there is at this time no study of its effects on AlN emitters. In this study, a 7 nanometer film of AlN deposited on molybdenum emitter tip was treated with different gas plasmas (H2, O2, N2). All surface treatments and measurements were carried out by using an in-situ technique inside the magnetron sputtering chamber. Changes in the measured I-V curves were not observed for the emitter treated with either hydrogen or nitrogen plasmas, but were observed for the oxygen plasma treatment and after the deposition of a very thin (<10A) aluminum film. The aluminum film deposition was very effective at enhancing emission from a Mo tip coated with AlN. This may be explained by lowering of the surface barrier due to the electronegativity difference at the surface.
Stefania Colonnese,Francesco Conti,Gaetano Scarano,Izhak Rubin,Francesca Cuomo 한국통신학회 2022 Journal of communications and networks Vol.24 No.1
In this paper we propose a novel client-transparentDynamic Adaptive Streaming over HTTP (DASH) -aware bandwidthallocation strategy. The approach, while being applicationlayer transparent, guarantees fluidity to all users but itprovides priority-based services to premium users, identified bytheir Willingness-To-Pay (WTP) profiles. Since different servicequalities can be accommodated using WTP, the approach can beextended to XR services, immersive videos, live uplink streaming. To achieve this goal, the allocation problem is firstly formulatedas a classical Game Theory problem whose closed form solutionis clearly understood in the literature. In a nutshell, the WTPbased,Game Theoretically Optimal Bandwidth Allocation (WTPGTOBA),firstly satisfies the minimum bandwidth needs of eachuser and then fairly distributes the residual bandwidth. WTPGTOBAcan be approximately implemented by a greedy, applicationlayer transparent algorithm to be implemented at a DASHawarenetwork element managing different neighbouring radioaccess stations. Thereby, the proposed method is suitable forintegration of WTP and resource management among multipleservice providers and heterogeneous client groups. Numericalsimulations carried out under a realistic scenario show thatthe proposed approach outperforms state-of-the-art applicationlayertransparent competitors, providing premium quality and/orguaranteed fluidity to different users based on their WTP.
Implications of deep learning for the automation of design patterns organization
Hussain, Shahid,Keung, Jacky,Khan, Arif Ali,Ahmad, Awais,Cuomo, Salvatore,Piccialli, Francesco,Jeon, Gwanggil,Akhunzada, Adnan Elsevier 2018 Journal of parallel and distributed computing Vol.117 No.-
<P><B>Abstract</B></P> <P>Though like other domains such as email filtering, web page classification, sentiment analysis, and author identification, the researchers have employed the text categorization approach to automate organization and selection of design patterns. However, there is a need to bridge the gap between the semantic relationship between design patterns (i.e. Documents) and the features which are used for the organization of design patterns. In this study, we propose an approach by leveraging a powerful deep learning algorithm named Deep Belief Network (DBN) which learns on the semantic representation of documents formulated in the form of feature vectors. We performed a case study in the context of a text categorization based automated system used for the classification and selection of software design patterns. In the case study, we focused on two main research objectives: 1) to empirically investigate the effect of feature sets constructed through the global filter-based feature selection methods besides the proposed approach, and 2) to evaluate the significant improvement in the classification decision (i.e. Pattern organization) of classifiers using the proposed approach. The adjustment of DBN parameters such as a number of hidden layers, nodes and iteration can aid a developer to construct a more illustrative feature set. The experimental promising results suggest the significance of the proposed approach to construct a more representative feature set and improve the classifier’s performance in terms of organization of design patterns.</P> <P><B>Highlights</B></P> <P> <UL> <LI> There is a need to bridge the gap between the semantic relationship between patterns. </LI> <LI> We propose an approach by leveraging a powerful deep learning algorithm named Deep Belief Network (DBN). </LI> <LI> The DBN learns on the semantic representation of documents formulated in the form of feature vectors. </LI> <LI> We performed a case study in the context of a text categorization based automated system. </LI> <LI> The experimental promising results suggest the significance of the proposed approach to construct a more representative feature set. </LI> </UL> </P>