Would 3D Digital Participatory Planning Improve Social Sustainability in Smart Cities? An Empirical Evaluation Study in Less-Advantaged Areas

Similar to the concept of “Smart Cities”, “Smart Tourism” has undoubtedly become a promising field of research, and “the” buzzword in the last five years. But how much of this is “smart washing”, and how much progress has really been made? We focus on the adoption and implementation of technological innovations to analyze the publicly available descriptions of Smart Tourism projects implemented in Europe according to the stringent technological criteria of contemporary Smart Tourism definitions. The results show that the vast majority of projects branded as “smart” predominantly pursue environmental sustainability goals, but do not feature advanced technology that meets the Smart Actionable attribute criteria, and do not address social sustainability issues to the same extent as the environmental ones.

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Challenges and Opportunities of Crowdsourcing and Participatory Planning in Developing Infrastructure Systems of Smart Cities

Infrastructures ◽

10.3390/infrastructures3040051 ◽

2018 ◽

Vol 3 (4) ◽

pp. 51 ◽

Cited By ~ 7

Author(s):

Parul Srivastava ◽

Ali Mostafavi

Keyword(s):

Disaster Management ◽

Smart City ◽

Public Safety ◽

Smart Cities ◽

Participatory Planning ◽

Systemic Review ◽

Infrastructure Systems ◽

Challenges And Opportunities ◽

System Characteristics ◽

Environment Disaster

The concept of Smart City aims to provide its citizens with infrastructure systems that make cities safer and more livable. One of the methods for doing so is collecting data from the crowd itself—termed crowdsourcing—and incorporating their ideas to improve the existing facilities, as well as build new ones to cater to their arising needs. This paper aims to inspect the attributes that govern crowdsourcing, evaluating its feasibility in attaining solutions in the present scenario. A systemic review of the existing literature on crowdsourcing platforms was conducted and major findings have been summarized adequately. The areas of environment, disaster management, public safety, innovation, transportation and health have been explored in connection to the existing crowdsourcing platforms and selected examples have been mentioned. Next, the attributes that affect crowdsourcing have been discussed in detail under three broad categories: (1) human characteristics; (2) data characteristics and (3) system characteristics. In the end, some recommendations for improvement in the implementation of the crowdsourcing platforms have been proposed for their enhanced applicability and effectiveness.

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An Empirical Evaluation Study of Public Libraries Based on Principal Component Analysis

2011 International Conference on Intelligence Science and Information Engineering ◽

10.1109/isie.2011.100 ◽

2011 ◽

Author(s):

Youjun Huang ◽

Yingquan Yang

Keyword(s):

Principal Component Analysis ◽

Public Libraries ◽

Empirical Evaluation ◽

Principal Component ◽

Component Analysis ◽

Evaluation Study

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The N.C.A. criteria for the diagnosis of alcoholism; an empirical evaluation study.

Journal of Studies on Alcohol ◽

10.15288/jsa.1977.38.1259 ◽

1977 ◽

Vol 38 (7) ◽

pp. 1259-1273 ◽

Cited By ~ 16

Author(s):

C Ringer ◽

H Küfner ◽

K Antons ◽

W Feuerlein

Keyword(s):

Empirical Evaluation ◽

Evaluation Study

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Empirical evaluation study on competitiveness of hi-tech industry in Changzhou Area—The comparative analysis based in Wuxi and Suzhou Areas

2011 2nd International Conference on Artificial Intelligence, Management Science and Electronic Commerce (AIMSEC) ◽

10.1109/aimsec.2011.6009795 ◽

2011 ◽

Author(s):

Qiyong Chen ◽

Qianxi Cao

Keyword(s):

Comparative Analysis ◽

Empirical Evaluation ◽

Evaluation Study

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Comments on “The N.C.A. Criteria for the Diagnosis of Alcoholism; an Empirical Evaluation Study”

Journal of Studies on Alcohol ◽

10.15288/jsa.1977.38.1830 ◽

1977 ◽

Vol 38 (9) ◽

pp. 1830-1837 ◽

Cited By ~ 1

Author(s):

S C Kaim

Keyword(s):

Empirical Evaluation ◽

Evaluation Study

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Computational tools to detect signatures of mutational processes in DNA from tumours: a review and empirical comparison of performance

10.1101/483982 ◽

2018 ◽

Cited By ~ 2

Author(s):

Omichessan Hanane ◽

Severi Gianluca ◽

Perduca Vittorio

Keyword(s):

Somatic Mutations ◽

Empirical Evaluation ◽

Simulated Data ◽

Evaluation Study ◽

Systematic Evaluation ◽

Mutational Signatures ◽

Computational Tools ◽

Probability Profile ◽

Mathematical Algorithms ◽

Mutational Processes

AbstractMutational signatures refer to patterns in the occurrence of somatic mutations that reflect underlying mutational processes. To date, after the analysis of tens of thousands of genomes and exomes from about 40 different cancers types, 30 mutational signatures characterized by a unique probability profile across the 96 mutation types have been identified, validated and listed on the COSMIC (Catalogue of Somatic Mutations in Cancer) website. Simultaneously with this development, the last few years saw the publication of several concurrent methods (mathematical algorithms implemented in publicly available software packages) for either the quantification of the contribution of prespecified signatures (e.g. COSMIC signatures) in a given cancer genome or the identification of new signatures from a sample of cancer genomes. A review about existing computational tools has been recently published to guide researchers and practitioners in conducting their mutational signatures analysis, however, other tools have been introduced since its publication and, to date, there has not been a systematic evaluation and comparison of the performance of such tools. In order to fill this gap, we carry on an empirical evaluation study of all available packages to date, using both real and simulated data.

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An Empirical Performance Evaluation of Multiple Intel Optane Solid-State Drives

Electronics ◽

10.3390/electronics10111325 ◽

2021 ◽

Vol 10 (11) ◽

pp. 1325

Author(s):

Jaehyun Han ◽

Guangyu Zhu ◽

Sangmook Lee ◽

Yongseok Son

Keyword(s):

Cloud Computing ◽

Solid State ◽

Performance Metrics ◽

Empirical Evaluation ◽

Evaluation Study ◽

Cloud Services ◽

Experimental Results ◽

Solid State Drives ◽

Non Volatile Memory ◽

And Performance

Cloud computing as a service-on-demand architecture has grown in importance over the last few years. The storage subsystem in cloud computing has undergone enormous innovation to provide high-quality cloud services. Emerging Non-Volatile Memory Express (NVMe) technology has attracted considerable attention in cloud computing by delivering high I/O performance in latency and bandwidth. Specifically, multiple NVMe solid-state drives (SSDs) can provide higher performance, fault tolerance, and storage capacity in the cloud computing environment. In this paper, we performed an empirical evaluation study of performance on recent NVMe SSDs (i.e., Intel Optane SSDs) with different redundant array of independent disks (RAID) environments. We analyzed multiple NVMe SSDs with RAID in terms of different performance metrics via synthesis and database benchmarks. We anticipate that our experimental results and performance analysis will have implications for various storage systems. Experimental results showed that the software stack overhead reduced the performance by up to 75%, 52%, 76%, 91%, and 92% in RAID 0, 1, 10, 5, and 6, respectively, compared with theoretical and expected performance.

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