The extended minimal geometric deformation of SU(NN) dark glueball condensates

The extended minimal geometric deformation (EMGD) procedure, in the holographic membrane paradigm, is employed to model stellar distributions that arise upon self-interacting scalar glueball dark matter condensation. Such scalar glueballs are SU($N$) Yang-Mills hidden sectors beyond the Standard Model. Then, corrections to the gravitational wave radiation, emitted by SU($N$) EMGD dark glueball stars mergers, are derived, and their respective spectra are studied in the EMGD framework, due to a phenomenological brane tension with finite value. The bulk Weyl fluid that drives the EMGD is then proposed to be experimentally detected by enhanced windows at the eLISA and LIGO.Comment: 9 pages, 7 figure

Extended quantum portrait of MGD black holes and information entropy

The extended minimal geometric deformation (EMGD) is employed on the fluid membrane paradigm, to describe compact stellar objects as Bose--Einstein condensates (BEC) consisting of gravitons. The black hole quantum portrait, besides deriving a preciser phenomenological bound for the fluid brane tension, is then scrutinized from the point of view of the configurational entropy. It yields a range for the critical density of the EMGD BEC, whose configurational entropy has global minima suggesting the configurational stability of the EMGD BEC.Comment: 9 pages, 7 figures, matches the published versio

Smart parking for the delivery of goods in urban logistics

The purpose of this research is to develop an application to reserve slots of loading and unloading activities in urban environment and create a collaborative low cost solution based on BLE (Bluetooth Low Emission) beacons to monitor this process. Violations can be easily detected through a collaborative process among user mobile devices detection and a reward mechanism incentives user participation. This approach allows the implementation of a system to handle parking slots for load and unload of goods, without investments costs using an ad-hoc network of users that sends information to a central system and from this violations were sent to control agents. This solution allows the coordination of the usage of parking places for load/unload of goods in a city environment following European guidelines. The developed App assists operators towards parking place with routing and traffic advice and collects data for mobility authorities

Using milk run to deal with uncertainty in demand in a car assembler

This work presents a collaboration process between university and a company to solve a specific problem using geographic information systems and logistics modelling process applied to transportation. Car assembler companies in the periphery of Europe have an additional challenge when building their attractiveness in the scope of the economic groups they belong to as longer distances to receive their supplies involve additional costs. Adding to this challenge, the economic crisis brought a new scenario of uncertainty in demand, which is translated into additional inventory costs. In order to deal with these additional costs as well as to reduce transportation costs, the purpose of this research was to develop a logistics model, based on custom made software that allows generating transportation runs that was able to reduce inventory and transportation costs without sacrificing service quality for the analysed car assembler company.info:eu-repo/semantics/publishedVersio

Transportation synergies in inbound logistics flow at automotive assembler plant

Transportation costs are responsible for a large portion of the logistics cost. This is particularly important in companies that are located in peripheral countries. Valuable cargo companies under these conditions tend to receive more often, which easily leads to LTL. The purpose of this paper is to assess alternative scenarios for reduction of transportation cost for a car assembler in Iberia, taking into account the development of a collaborative software to handle sharing process at low prices and risks, attempting a somewhat flexible solution in a rigid industry. The proposed approach looks for logistic data flows and identifies aggregation solutions for inbound flows using rail solution and sharing space with other players to balance outbound traffic.info:eu-repo/semantics/publishedVersio

Transportation Synergies in inbound logistics flow at automotive assembler plant

Transportation costs are responsible for a large portion of the logistics cost. This is particularly important in companies that are located in peripheral countries. Valuable cargo companies under these conditions tend to receive more often, which easily leads to LTL. The purpose of this paper is to assess alternative scenarios for reduction of transportation cost for a car assembler in Iberia, taking into account the development of a collaborative software to handle sharing process at low prices and risks, attempting a somewhat flexible solution in a rigid industry. The proposed approach looks for logistic data flows and identifies aggregation solutions for inbound flows using rail solution and sharing space with other players to balance outbound traffic

Uncovering dimensions of the impact of blockchain technology in supply chain management

Supply chains around the globe are faced with difficulties and disruptions due to the worldwide pandemic situation and digital solutions are needed. There is significant research interest in the implementation of blockchain technology (BCT) for supply chain management (SCM). A challenge that remains is analyzing the interactions of BCT in different areas of SCM. This study aims to identify the influential dimensions of the impact of BCT adoption in SCM and to discuss the synergetic and counter-synergetic effects between these dimensions. Advantages, disadvantages, and constraints of adopting BCT in the SCM context are explored through a systematic literature review, which provides the foundation for identifying the dimensions of impact. The interactions between these dimensions are conceptually discussed. This study introduces three dimensions of the impact of implementing BCT in SCM: ‘operations and processes’, ‘supply chain relationships’, and ‘innovation and data access’. These dimensions are interrelated and have overlapping areas within them, which leads to synergetic and counter-synergetic effects. The overlaps and synergies of the three dimensions of impact are illustrated, and the virtuous and vicious cycles of BCT adoption in SCM cases are highlighted. This study assists scholars and practitioners by clarifying the synergetic relationships within the dimensions of the impact of BCT in SCM and by providing considerations to prevent undesirable effects and expand desired ones.info:eu-repo/semantics/publishedVersio

Use of blockchain technology to manage the supply chains: Comparison of perspectives between technology providers and early industry adopters

Following the interest in blockchain technology (BCT) business solutions and the nascent stage of technology in supply chain (SC) practices, this research compares views from business practitioners who are experienced in real cases of BCT adoption with the views of technology consultants proficient in the complexities of BCT to analyze the benefits and challenges BCT holds for SCs. Based on the comparison of the two sides, the joint views that both adopters and technology consultants share is the ability that BCT holds to speed up processes across SCs through decentralized data access, thus decreasing human errors and reducing paperwork. However, technology consultants perceive the need to increase BCT awareness levels of businesses, to prevent BCT implementation just for reasons such as ‘recordkeeping’ and to reduce misconceptions in areas such as cryptocurrency applications. The findings also revealed that technology consultants insist on the careful evaluation and definition of records to be kept on BCT platforms prior to the adoption process, in order to avoid unnecessary data input. Currently, according to early industry adopters’ cases, most business attempts of BCT adoption use private networks, so technology consultants promote business entities on developing plans towards open-access public networks.info:eu-repo/semantics/publishedVersio

Rating prediction on yelp academic dataset using paragraph vectors

This work studies the application of Paragraph Vectors to the Yelp Academic Dataset reviews in order to predict user ratings for different categories of businesses like auto repair, restaurants or veterinarians. Paragraph Vectors is a word embeddings techniques were each word or piece of text is converted to a continuous low dimensional space. Then, the opinion mining or sentiment analysis is observed as a classification task, where each user review is associated with a label the rating - and a probabilistic model is built with a logistic classifier. Following the intuition that the semantic information present in textual user reviews is generally more complex and complete than the numeric rating itself, this work applies Paragraph Vectors successfully toYelp dataset and evaluates its results.info:eu-repo/semantics/acceptedVersio