scholarly journals Beacons and Blockchains in the Mobile Gaming Ecosystem: A Feasibility Analysis

Sensors ◽  
2021 ◽  
Vol 21 (3) ◽  
pp. 862
Author(s):  
Iakovos Pittaras ◽  
Nikos Fotiou ◽  
Vasilios A. Siris ◽  
George C. Polyzos

We explore the adoption of the Internet of Things (IoT) and Distributed Ledger Technologies (DLTs), such as blockchains, in mobile gaming, focusing on ecosystem expansion and diversification, customer attraction and retention, exploitation of context sensitive and personalized advertisements, and improved monetization of in-game assets. We evaluate the cost and transaction delay of DLTs in a location-based mobile game ecosystem using two types of blockchains (permissioned and permissionless or public), based on defined Key Performance Indicators (KPIs). Our evaluation shows the advantages of using both types of blockchains as well as interledger technologies that combine them. Permissioned blockchains enable high performance, e.g., in terms of throughput and delay, and low cost, while permissionless (public) blockchains, through their transparency, immutability, and openness, support trust and facilitate interactions among unrelated parties. Finally, we show that the combination of IoT devices and DLTs in mobile gaming offers new business opportunities and enables innovative business models for both traditional mobile gaming companies and other participants in the ecosystem, e.g., game players, cafes, malls, and similar establishments, advertising companies, and independent programmers.

Sensors ◽  
2021 ◽  
Vol 21 (10) ◽  
pp. 3515
Author(s):  
Sung-Ho Sim ◽  
Yoon-Su Jeong

As the development of IoT technologies has progressed rapidly recently, most IoT data are focused on monitoring and control to process IoT data, but the cost of collecting and linking various IoT data increases, requiring the ability to proactively integrate and analyze collected IoT data so that cloud servers (data centers) can process smartly. In this paper, we propose a blockchain-based IoT big data integrity verification technique to ensure the safety of the Third Party Auditor (TPA), which has a role in auditing the integrity of AIoT data. The proposed technique aims to minimize IoT information loss by multiple blockchain groupings of information and signature keys from IoT devices. The proposed technique allows IoT information to be effectively guaranteed the integrity of AIoT data by linking hash values designated as arbitrary, constant-size blocks with previous blocks in hierarchical chains. The proposed technique performs synchronization using location information between the central server and IoT devices to manage the cost of the integrity of IoT information at low cost. In order to easily control a large number of locations of IoT devices, we perform cross-distributed and blockchain linkage processing under constant rules to improve the load and throughput generated by IoT devices.


Author(s):  
Andrew W. Lo

AbstractFunding for early-stage biomedical innovation has become more difficult to secure at the same time that medical breakthroughs seem to be occurring at ever increasing rates. One explanation for this counterintuitive trend is that increasing scientific knowledge can actually lead to greater economic risk for investors in the life sciences. While the Human Genome Project, high-throughput screening, genetic biomarkers, immunotherapies, and gene therapies have made a tremendously positive impact on biomedical research and, consequently, patient lives, they have also increased the cost and complexity of the drug development process, causing many investors to shift their assets to more attractive investment opportunities. This suggests that new business models and financing strategies can be used to reduce the risk and increase the attractiveness of biomedical innovation so as to bring new and better therapies to patients faster.


Author(s):  
Chun-Yuan Lin ◽  
Jin Ye ◽  
Che-Lun Hung ◽  
Chung-Hung Wang ◽  
Min Su ◽  
...  

Current high-end graphics processing units (abbreviate to GPUs), such as NVIDIA Tesla, Fermi, Kepler series cards which contain up to thousand cores per-chip, are widely used in the high performance computing fields. These GPU cards (called desktop GPUs) should be installed in personal computers/servers with desktop CPUs; moreover, the cost and power consumption of constructing a high performance computing platform with these desktop CPUs and GPUs are high. NVIDIA releases Tegra K1, called Jetson TK1, which contains 4 ARM Cortex-A15 CPUs and 192 CUDA cores (Kepler GPU) and is an embedded board with low cost, low power consumption and high applicability advantages for embedded applications. NVIDIA Jetson TK1 becomes a new research direction. Hence, in this paper, a bioinformatics platform was constructed based on NVIDIA Jetson TK1. ClustalWtk and MCCtk tools for sequence alignment and compound comparison were designed on this platform, respectively. Moreover, the web and mobile services for these two tools with user friendly interfaces also were provided. The experimental results showed that the cost-performance ratio by NVIDIA Jetson TK1 is higher than that by Intel XEON E5-2650 CPU and NVIDIA Tesla K20m GPU card.


2022 ◽  
pp. 355-383
Author(s):  
Samyak Jain ◽  
K. Chandrasekaran

This chapter presents a comprehensive view of Industrial Automation using internet of things (IIoT). Advanced Industries are ushering in a new age of physical production backed by the information-based economy. The term Industrie 4.0 refers to the 4th paradigm shift in production, in which intelligent manufacturing technology is interconnected with physical machines. IIoT is basically a convergence of industrial systems with advanced, near-real-time computing and analytics, powered by low cost and low power sensing devices leveraging global internet connectivity. The key benefits of Industrial IoT systems are a) improved operational efficiency and productivity b) reduced maintenance costs c) improved asset utilization, monitoring and maintenance d) development of new business models e) product innovation and f) enhanced safety. Key parameters that impact Industrial Automation are a) Security b) Data Integrity c) Interoperability d) Latency e) Scalability, Reliability, and Availability f) Fault tolerance and Safety, and g) Maintainability, Serviceability, and Programmability.


Energies ◽  
2019 ◽  
Vol 12 (17) ◽  
pp. 3219 ◽  
Author(s):  
Mu ◽  
Gao ◽  
Yang ◽  
Liang

With the deepening of the reform of the power system, electricity sales companies are required to explore new business models and provide multi-faceted marketing programs for users. At the same time, with the reduction of energy storage (ES) costs and the gradual maturity of technology, user side ES, especially Battery ES, has become an effective means for enhancing users' power supply reliability and reducing electricity bills. Battery ES, as the standby power supply, has a vast user side application. The configuration of ES can help users to ameliorate power quality and reduce electricity cost. It is a critical strategy for electricity sales companies to improve their competitiveness as well. Firstly, this paper analyzes the user side ES and introduces the user side ES development status and relevant policies. Then, we establish an ES configuration optimization model based on the cost–benefit system. To determine the optimal ES capacity of the system’s storage capacity, non-dominated sorting genetic algorithm with elite strategy (NSGA-II) is used as the method solving model. Finally, according to the cost-effectiveness of ES and the period of a contract signed by users, a price package with ES configuration is designed for users to choose.


2014 ◽  
Vol 687-691 ◽  
pp. 4996-4999
Author(s):  
Zhang Rong

With the constraints on manufacturing capacity, the satisfaction of product performance and the cost of manufacture are contradictory, the problem between high-performance and low-cost must be solved at the period of design and manufacture for product. To solve this problem, the product loss model has been analyzed, the parameterized and non-parameterized model of anticipant losses has been researched, with concurrent design, in connection with the product with multiple correlated assembly functional dimensions, the relation function between quality loss and process dimension tolerance has been provided, the concurrent tolerance design mathematical model based on lowest-cost and quality loss has been established. The applied case shows that this method has important guiding significance for engineering application.


2007 ◽  
Vol 29-30 ◽  
pp. 127-130
Author(s):  
Colleen J. Bettles ◽  
Rimma Lapovok ◽  
H.P. Ng ◽  
Dacian Tomus ◽  
Barry C. Muddle

The range of commercial titanium alloys available is currently extremely restricted, with one alloy (Ti-6Al-4V), and derivatives of it, accounting for a very large proportion of all applications. High performance alloys are costly to fabricate and limited to low-volume applications that can sustain the cost. With the emergence of new processing technologies that promise to reduce significantly the cost of production of titanium metal, especially in powder form, there is an emerging imperative for cost-effective near net shape powder processing techniques to permit the benefit of reduced metal cost to be passed on to higher-volume applications. Equally, there is a need for the design and development of new alloys that are intrinsically low-cost and lend themselves to fabrication by novel cost-effective net shape processing. The approaches that might be used to select, design and process both conventional alloys and novel alloy systems will be reviewed, with a focus on innovation in design of low-cost alloys amenable to new processing paths and increasingly tolerant of variability in composition.


2005 ◽  
Vol 127 (06) ◽  
pp. 26-31
Author(s):  
Alan S. Brown

This article appreciates the powerful pull of low-cost offshore engineering services. Elkay, a privately held company, employs 3800 workers at 14 manufacturing sites. For most of its 85-year history, it has made stainless steel sinks and plumbing accessories from two-dimensional drawings. In many ways, Elkay’s case highlights the forces behind the new shift to offshore engineering. While multinationals have shuffled work among remote engineering centers for decades, small and medium-size companies are just starting to tap foreign engineering talent. Access to offshore services makes many companies more competitive. Barry-Wehmiller used its Indian center to cut the cost of customizing packaging machines. Elkay used the same engineers to build a library of 3D CAD models that let it design products faster and cheaper. The auto industry is already adapting a new business model that involves collaborating in real time across nontraditional boundaries.


2010 ◽  
Vol 1 (2) ◽  
pp. 49-69
Author(s):  
Harsh Manglik ◽  
Kumar Ranjan ◽  
Raghav Narsalay ◽  
Svenja Falk

Mobile network operators' agendas for profitable growth include expansion into rural areas of developing countries, especially India. However, capitalizing on that opportunity will not be easy. Our research suggests that operators have yet to create and implement business models capable of driving profitable growth through rural expansion. We found that mobile network operators hold some mistaken assumptions about rural consumers’ needs and desires regarding mobile services. To achieve profitable growth and high performance through rural expansion, operators must develop a more accurate understanding of the mobile value proposition in rural communities, as well as potential barriers to adoption. . Mobile operators in rural markets must also build business models that work in the short term as well as the long term. Sacrificing short-term revenues to expand market footprint may not be the best strategy, because stiffening competition in urban markets will likely prevent operators from cross-subsidizing their rural expansion strategies. This report serves as a “midpoint review” of some key presumptions, strategies and models companies have used to drive their rural strategies over recent years.


2020 ◽  
Vol 14 (2) ◽  
pp. 1-18
Author(s):  
Radojko Lukić ◽  
Dragana Vojteski-Kljenak

It is well known that the problem of analyzing the efficiency of all companies, including trading companies, is very topical, significant and complex. In the context of the above mentioned, mathematical methods and models are increasingly being applied. With this in mind, this paper explores the effectiveness of food retailers in Serbia using AHP and DEA methods. Of all the observed optimization criteria (cost of goods sold, operating costs, gross margin and net profit), the most significant one was the cost of goods sold. The most efficient food retailer in Serbia is Delhaize Serbia. Mercator-S is inefficient according to DEA analysis. In order to improve the efficiency of food retailers in Serbia, it is necessary to look up to the Western models and apply new business models (private brand, multichannel sales, organic food sales and others) and new concepts of strategic management accounting as well as strengthen the digitalization of business.


Sign in / Sign up

Export Citation Format

Share Document