A Multidimensional Perceptual Map Approach to Project Prioritization and Selection

Zheng, Guangzhi; Vaishnavi, Vijay K.

doi:10.17705/1thci.00028

Cited by 10 publications

(10 citation statements)

References 61 publications

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“…For visualization of the multidimensional data of each feed ingredient’s individual GWP contributors, the complex image data were sorted by using a radar chart-positioning graph as a perceptual map [24]. The Min-Max scaling was done by including the mean, minimum, and maximum values of the feed ingredient’s or feed’s GWP contributors (agrochemicals, pesticides, fertilizers, diesel, electricity, virtual water requirement, and land requirement apart from the emissions of manure N 2 O, manure CH 4 , enteric CH 4 per kg digestible OM) in the following equation; …”

Section: Methodsmentioning

confidence: 99%

Assessment of eco-sustainability vis-à-vis zoo-technical attributes of soybean meal (SBM) replacement with varying levels of coated urea in Nellore sheep (Ovis aries)

et al. 2019

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The contemporary environmental-stewardship programmes primarily aimed at curbing the global warming potential by adopting a multidisciplinary approach. Manipulating the feeding strategies has great potential in reducing the environmental footprints of livestock production. This study intends to assess the effect of soybean meal (SBM) replacement with varying levels of coated urea (SRU) on both zoo-technical (nutrient digestibility, heat increment, and physio-biochemical parameters) and environmental attributes. The coated urea was used to replace the SBM at 0, 25, 50, and 75 percent levels. Eight adult rams (43.02 ± 0.76) maintained in a conventional shed were used in a replicated 4 x 4 Latin square design. Not all the physiological parameters viz. rectal temperature, pulse rate, and respiratory rate were affected ( P >0.05)f by varying levels of SRU incorporation. The SRU fed animals had higher ( P <0.05) crude protein digestibility compared to SBM fed animals; however, the replacements did not affect the nutrient digestibility coefficients of DM, OM, NFC, NDF ap , ADF, and hemicellulose components. The SRU did not affect various biochemical parameters such as serum glucose, total protein, albumin, globulin, urea, creatinine, ALT, AST, Ca, P and T3, and T4 levels; however, post-prandial serum urea N (SUN) values showed a diurnal quadratic pattern ( P <0.05) with a dose-dependent relationship. Further, the SBM replacements had no effect on the calcium excretion, while the SRU incorporation decreased the faecal phosphorous content, thereby abating the eutrophication phenomenon. Although the SBM replacements did not affect in vivo water variables and faecal solid fractions, they managed to decrease the land and virtual water requirement along with global warming potential (GWP) of the entire trial. The GWP-perceptual map unveils the fact that replacement of conventional feed ingredients with NPN compounds aids in eco-friendly livestock production. Further, the conjectural analysis of the carbon footprint methodology revealed that agricultural by-products consideration could cause a huge increase in the GWP share of feed consumed, thus compelling the importance of research pertaining to feed production perspective as equal as ruminal methane amelioration.

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Section: Methodsmentioning

confidence: 99%

Assessment of eco-sustainability vis-à-vis zoo-technical attributes of soybean meal (SBM) replacement with varying levels of coated urea in Nellore sheep (Ovis aries)

et al. 2019

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“…RBF network [25] Mac-Key Glass Chaotic time series [26] Logistic Map [27] Prediction Non Linear system [26] [27] Forecasting [28] RBF neural network is used in the prediction of the time and resources consumed by applications [40] Kohonen self-organizing network [29] Meteorology, Oceanography [30] Project prioritization and selection [31] --Recurrent neural network [32] Hand writing and speech Recognition [33] Computer Vision [34] Language Processing [35] Recurrent Neural Network has been used to optimize the number of queues and quantum to decrease the response time of processes and increase the performance of scheduling. [41].…”

Section: Resultsmentioning

confidence: 99%

Comparative Study of Neural Networks Algorithms for Cloud Computing CPU Scheduling

Hicham¹,

Chaker²,

Elaachak³

2017

IJECE

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Cloud Computing is the most powerful computing model of our time. While the major IT providers and consumers are competing to exploit the benefits of this computing model in order to thrive their profits, most of the cloud computing platforms are still built on operating systems that uses basic CPU (Core Processing Unit) scheduling algorithms that lacks the intelligence needed for such innovative computing model. Correspdondingly, this paper presents the benefits of applying Artificial Neural Networks algorithms in regards to enhancing CPU scheduling for Cloud Computing model. Furthermore, a set of characteristics and theoretical metrics are proposed for the sake of comparing the different Artificial Neural Networks algorithms and finding the most accurate algorithm for Cloud Computing CPU Scheduling.

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“…Zheng and Vaishnavi [179] created and evaluated a multidimensional visual exploration prototype to produce a particular and intuitive option to enhance the decision making in managing project portfolios. They also discussed the issues in research design science, including the awareness, evaluation, conclusion, suggestion, and development of the problem.…”

Section: Information Overload Using Faceted Searchmentioning

confidence: 99%

Solution for Information Overload Using Faceted Search–A Review

et al. 2020

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In the modern society, Internet provides massive amounts of heterogeneous information, hence Information overload has become an ubiquitous issue. In this paper, we conduct a large scale quantitative study for articles dealing with (1) information overloading; (2) faceted search; and (3) filtering the data in three major databases, namely, Web of Science, ScienceDirect, and IEEE Explore. These three databases have presented 172 articles, which can be classified into four categories. The first category contains review and survey papers related to information overload. The second category includes papers that concentrate on developing theoretical frameworks to reduce information overloading. The third category contains papers dealing with improving structure or architectural of software for filtering the huge data. The fourth category includes papers that provide criteria to evaluate filtering techniques. Finally, our contribution provides further understanding of information overload, and gives an important basis for future research. Moreover, we illustrate that the dynamic faceted filters are more efficient to reduce the information overload.

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A Multidimensional Perceptual Map Approach to Project Prioritization and Selection

Cited by 10 publications

References 61 publications

Assessment of eco-sustainability vis-à-vis zoo-technical attributes of soybean meal (SBM) replacement with varying levels of coated urea in Nellore sheep (Ovis aries)

Assessment of eco-sustainability vis-à-vis zoo-technical attributes of soybean meal (SBM) replacement with varying levels of coated urea in Nellore sheep (Ovis aries)

Comparative Study of Neural Networks Algorithms for Cloud Computing CPU Scheduling

Solution for Information Overload Using Faceted Search–A Review

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