Science topics: Performance Analysis
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I am currently studying index modulation aided NOMA technique but my mind blown up with mathematical expressions. Can someone explain to me these;
  1. How Index Modulation aided NOMA (IM-NOMA) works? (with figures and graphs)
  2. What is the received signal formula for 2-user situation?
My reference study paper: Performance Analysis of Uplink Index-Modulated NOMA for 6G Wireless Communications
Y. -K. Bae, J. S. Yeom and B. C. Jung, "Performance Analysis of Uplink Index-Modulated NOMA for 6G Wireless Communications," in IEEE Wireless Communications Letters, vol. 12, no. 8, pp. 1404-1408, Aug. 2023, doi: 10.1109/LWC.2023.3275944.
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I understand, IM-NOMA can get quite technical. Let's break it down without diving deep into the math (referring to the mentioned paper by Bae et al. for specifics).
Here's how IM-NOMA works (conceptually):
Imagine a system with a base station trying to communicate with two user equipments (UEs) simultaneously. Traditional NOMA relies on power control to differentiate between strong and weak users. IM-NOMA adds another layer of complexity.
  1. Index Assignment: Each user is assigned a unique index based on a chosen modulation scheme (e.g., Binary Phase Shift Keying - BPSK). This index is embedded in the signal by activating specific subcarriers.
  2. Data Embedding: User data is then superimposed on the activated subcarriers.
  3. Transmission: The base station transmits the combined signal containing both users' data and their corresponding indices.
  4. User Differentiation: At the receiver (UEs), the indices help identify which subcarriers contain their data. They can then decode their own information while suppressing interference from the other user.
Benefits of IM-NOMA:
  • Improved spectral efficiency: Utilizes subcarrier activation for user identification, reducing overhead.
  • Increased system capacity: Allows serving multiple users simultaneously.
2-User Received Signal Formula (Simplified):
The actual formula in the paper will involve complex number representations and summation. Here's a simplified view for understanding:
Let x1(t) and x2(t) be the data signals of User 1 and User 2, respectively.
h1 and h2 represent the channel coefficients between the base station and User 1 & User 2.
Base Station Signal (s(t)):
s(t) = a1 * f1(t) * x1(t) + a2 * f2(t) * x2(t)
where:
  • a1 and a2 are scaling factors for power control (as in traditional NOMA).
  • f1(t) and f2(t) are functions representing the subcarrier activation patterns based on the assigned indices to each user.
This simplified formula shows how the base station combines user data with their corresponding subcarrier activation patterns (determined by the indices).
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Good morning to everyone,
I have a problem with high value of RMSEA in MGCFA with categorical variables with the WLSMV estimation method in Mplus.
I test a model consist of 4 variables on 4-point scale. I compare 28 countries.
Results of testing configural invariance are:
Chi-square: 1884.026
Degrees of Freedom: 57
P-Value: 0.000
RMSEA: 0.130
90 Percent C.I. : 0.125 - 0.135
Probability RMSEA <=.05: 0.000
CFI: 0.991
TLI: 0.972
If I do the same analysis but I set variables as continuous, so results are good (RMSEA 0,08; CFI 0,980; TLI 0,939).
Can anyone please thoroughly suggest me how to overcome this problem of the inadequate (poor) value of RMSEA? 
Thank you very much.
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Good morning Radka.
Did you find a solution for your problem? I am performing a similar analysis with the WLSMV estimator. When I treat the variables as ordinal, my RMSEA value is greater than .1, even reaching .2 in some models. When I treat them as continuous, the RMSEA value drops to less than .08.I'm not sure what I can do. Thank you!
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Hello Sir/Ma'am, I have been modelling a brick wall using detailed micro modelling approach using Abaqus with the reference of paper published by Antonio Maria D' Altri on topic " A 3D Detailed Micro-Modelling Approach for the In-Plane and Out-Of-Plane Analysis of Masonry Structures". While performing analysis in abaqus, I am getting this error " COHESIVE CONTACT RESPOSE IS COMPUTED AT SLAVE NODE 13 INSTANCE Mortar East-1-lin-1-9 THAT FELL OFF THE MASTER SIDE USING A SEPARATION OF 1.00000E+36.". Please help me regarding this.
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IT HAS TO BE COMPARED WITH THE NODE 1
FOR GOOD ANALYSIS
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describe in detail
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Structural performance analysis of masonry structures involves assessing and determining the capacity of the structure to resist different types of loads, such as gravity loads (dead and live loads), wind loads, seismic forces, and temperature changes
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I have attached my CAE file I am a beginner with ABAQUS and trying to do cyclic analysis but not getting RF Graph to make an Hestrisis Diagram. and also don't know how to perform Analysis
Note You can check Job 8 to check the results
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Engr. Tufail Thankyou for your response. Can you please specify where are the mistakes and what are the best ways to get results and where and what type of improvement needed Thanks]
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Dear sir/madam
I have an evolved gas sample obtained from combustion of Sodium Azide and Potassium Nitrate(NaN3 + KNO3). I want to analyze the evolved gas. What are methods to perform the analysis? Evolved gas would mainly contain nitrogen.
i think this would be the reaction
2NaN3 ---> 2Na + 3N2
10 Na + 2KNO3 ->K2O + 5Na2O + N2
please help me
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GC with a TCD detector and not using nitrogen as carrier gas.
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Hello Academicians,
I am a Ph.D. student in University of Washington and I am conducting research on the critical risk factors in construction supply chain coordination. My research methodology is quantitative through Importance and Performance analysis. It would be appreciated if you could take some time to answer the survey below.
Thank you,
Aishwarya
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All the Best, Good Luck Aishwarya Fadnavis
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Dear all,
I am performing analysis of 16S rRNA amplicon sequencing data. I have tested effectivity of two classifiers on the mock community and blast classifier shows the best result. However, I found out blast is using a local sequencing alignment. So I do not know if it is appropriate to use this classifier to assign a "mystery" sequence to a bacterial taxon. Is it possible that this approach will result to false positive results? Is it better to use Vsearch classifier which showed worse results but is using a global sequencing alignment?
And a bonus question. Should I use rarefied representative sequences to perform a taxonomy classification or not? I use rarefied data for alpha diversity testing (and for beta diversity testing I do not).
Thank you all for answers!
Martin
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  1. It is not rRNA amplicons but rRNA gene amplicons
  2. You are having amplicons which are probably 300-400 bp long, why do you think global alignment is better in this case?
  3. For rarification, read the following and decide yourself.
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Currently I am working on Performance analysis of savonius Turbine.For which I am using dynamic mesh method in ansys fluent.I have done simulations for free air velocity ranging from 3-9 m/sec, and found out the moment coefficient, RPM of the rotor,
The problem I am facing with the analysis are as follows -
  1. I am getting moment coefficient an moment values that are cyclic in nature which is correct as per the literature and behavior of savonius turbine ,but the problem is both moment and and moment coefficient are varying between two equal +ve and -ve values (for eg +0.5 to -0.5) which is causing the average moment to be 0 and hence I am getting very low power.
  2. The rpm value is reaching to a constant point which is also very low as compared to the experimental results available.
Can anybody give feedback why I am getting such results and what I did wrong in my analysis.
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Check your mesh especially at the boundary layer. Choose appropriate turbulence model that can resolve your boundary layer accurately. You can check more 10.1016/j.jweia.2022.104920
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1. in the incremental dynamic analysis the time history of different region should be observed or  same region from different position should be taken?
2. What is scale factor to be taken, is there any relation?
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I am looking for transmittance, reflectance and absorptance data in the range 300 to 2500 nm and transmittance, reflectance and emmitance data in the range 2,5 to 50 µm for transparent PE, PVC, PET, THV and ETFE foils. I could only find some data for ETFE and PE foils. I cannot believe that there is no data on the internet for such popular materials. I am defenitely doing something wrong... There is a huge database and a lot of information for glass in the ASHRAE Handbook of fundamentals, but nothing for polymers
In case someone needs the same information, the sources the I have found are
  • Experimental transmittance of polyethylene films in the solar and infrared wavelengths, Balocco C. et al, DOI:
  • 10.1016/j.solener.2018.03.011
  • Thesis: Thermal performance analysis of ETFE-foil panels and spaces enclosed with ETFE-foil cushion envelope, Sabrina Afrin
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Hi folks!
I have some questions regarding EBSP analysis and panmixia. I hope someone can help me, please deal with this.
1 – Is it ok to include EBSP analysis in a paper if we violate panmixia? I read papers demonstrating the issues of performing EBSP analysis with structured populations, especially if they are declining in size. But, at least for neotropical trees, it is really difficult to not find a degree of structure in populations. So, is it fair to use the analysis even though with the violation and then report to interpret it with caution? I started to overthink… If coalescence assumes a Wright-Fisher population, thus even performing analysis in BEAST, such as estimating the dated tree could be wrong for some kind of data. Does it make sense?
All the best!
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Thank you for your answer. This was taking my sleep. I am just now studying Held and Drummond paper. I also agree with you, it depends on the situation!
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I working on a PV system project,I would love to know what Cooling technique would be the best option in boosting the efficiency and output power of the PV cell?
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I think the suitable technique depends on how high is the operational temperature of PV modules, which is associated with the location. Besides, I believe that combined-techniques are the best despite of the location. For instance, PCM with fins are good combination for passive applications while water-enhanced techniques are the best for active ones especially in severe hot climates.
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I want to use power-pc architecture for various performance analysis. As Gem5 doesn't contain the power-pc architecture can I design and integrate the architecture in GEM5 library?
If yes is there any documentation available for the reference to add the architecture?
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The gem5 simulator is a modular platform for computer system architecture research, encompassing system-level architecture as well as processor microarchitecture.
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I have a fairly simple question:
Is it better to consistently use tissue from a single hemisphere for one type of analysis? For example, if you are doing both immunostaining and RNAscope, should you only use right hemisphere for immunostaining and left for RNAscope? Or is it better to collect mixed hemisphere tissue for both techniques?
I guess ultimately, is there any hemisphere lateralization that should be considered for performing analysis of tissue? If there is any hemisphere bias is it severe?
Thank you!
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It might be better to use both spheres for each of your experiments; replicate them in Triplicates and check if there is any lateral bias in your results. Not only would that give you better clarity regarding your data (in case hemisphere lateralization does occur), it would also reduce any pre-conceived bias regarding the data concerning lateralization, especially during peer-review.
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i am working on performance analysis of digital modulation schemes ( DPSK, OQPSK, PSK and QAM ) on radio over fiber communication system using optisystem. i have tried to setup the simulation but i discovered the demodulators of the schemes were not released with the 30days evaluation version . please help. what other software can i use.?
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you can reinstall it by doing clean desk
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Hello Researcher, If we have ensemble model which apply different Association mining algorithms such as Apriori, Terius and Clustering Algorithms such as K-Means, Cobweb on same dataset, I want to analyse which algorithm is better among all. Is there any automated simple way to compare the performance of above Association mining and Clustering algorithms based on accuracy , time etc in Weka tool?
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I am working on a model, having one Independent variable, one dependent variable, one mediator, and one moderator. In order to reduce CMV, I want to collect data from Two different sources, i.e. data for the Independent variable is to be collected from the managers and the remaining variables are to be collected from subordinates.
I am confused about how to match the data collected from two different sources together?
and how to perform analysis for mediation and moderation?
like there will be lesser managers as compared to the subordinates, how to connect the two data?
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كنت اتمنى الإجابة على هذا السؤال
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Hello Researchers, I am looking for large data set for IT system logs such as System, Application or Database etc (like https://github.com/logpai/loghub) to perform analysis on IT operations. Please suggest.
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Though there are many exceptional log analysis tools on this list, SolarWinds Security Event Manager, Opmantek opEvents,Splunk, and Datadog stand out as the most complete log management solutions. Each tool is easy to use with enough depth of features to aid with incident discovery and response in any environment. https://www.comparitech.com/net-admin/best-log-analysis-tools/
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While reading the literature regarding performance analysis of RIS-Assisted Wireless communication Systems I went through the following terms: Achievable Rate, Sum Rate, Ergodic capacity. How do understand them?
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The ergodic capacity is the theoretically maximum data rate (bit/s) that one communicate at over a fading channel, where the fading processing is an ergodic process. More precisely, this is the largest rate for which the probability of decoding errors goes to zero as the length of the transmission goes to infinity.
An achievable rate is any data rate below the capacity. It is normally associated with a particular (suboptimal but practical) way of transmitting.
The sum rate is the summation of the achievable rates of multiple concurrent transmissions, for example, different users that are multiplexed.
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I performed analysis of my proteomics data in MaxQuant to compare phosphor peptides difference in two sample groups with LFQ intensity. However, error always occur when doing LFQ normalization, and the report show Index was outside the bounds of the array. How to understand the problem and what I should check?
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Dear Minjie Tan,
what is the number of processors that you are using in your MQ analysis?
Sometimes the LFQ analysis crashes when there is a to large number of processors is selected in MQ.
Try to run with a lower number of processors.
Best,
Murat
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Plz suggest me how I make simulink model for this inverted pendulum..because I am not finding any reference regarding model of inverted pendulum..plz guide me..
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Thank you
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Also what should be the ideal conditions of engine performance in regards to its output and emission analysis?
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Engine performance and combustion parameters includes Brake specific fuel consumption, Brake thermal efficiency, ignition delay, cylinder pressure, HRR. Engine emission parameters involves CO, HC, NOX, particulate matters
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While going through the Literature I found that the performance analysis of wireless communication System was done by us one of the following three methods:
1. Moment Generating Function-Based performance Analysis
2. PDF Based performance Analysis
3. Characteristic Function-Based performance Analysis
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Agree with Dr. Omid M Kandelusy
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For the analysis of the aircraft compressor, I require the design data of the aircraft such as blade angles, air foil and stage parameters but I am unable to find any of it. Can someone guide me in this regard?
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I THINK THE BELOW ATTACHMENT HELP YOU
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Dear All,
Could anyone help me with 3D analysis in software ICY? I cannot render all cells which are in my z stack in 2 channels, it shows only part of blue channel, but green one, in which cells of interest are, is not able to be fully rendered from tiff z stack. Could anyone guide me, how to perform full render in 3D and perform analysis?
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It will not work in the first attempt, you can try to do more attempts, I think that will work as just like most people does. If you not then let me know.
Kind Regards
Qamar Ul Islam
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Dear All.
I hope you are doing well, I have a problem handling this blade geometry, I am trying to perform analysis on this blade but I could not use the APDL, it shutdown when I start meshing directly, so I tried to export it via IGES so I can use the workbench but unfortunately the geometry is not complete as shown in the picture. I found many problem reconstructing it since a lot of details are missed and I am not the owner of the original design.
Is there any solution?!!!
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Probably unit issue. Check your units before importing the model.
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I am trying to build a Markov model for analyzing 802.15.4 network. The model is derived from paper "Performance analysis of a non-beacon enabled IEEE 802.15.4 network with retransmission and ACK mode", which can be accessed from arXiv. specifically, I am working on the Model 2 in that paper.
The question is: the formula of that model is a highly nonlinear system. In MATLAB, the "fsolve" function cannot tackle with such a complex question, and the answer will either be wrong(different from the paper's) or unconvergent. In MAPLE, the answer is wrong as well. I attached two source code in MATLAB and MAPLE. I am looking for a new technique to solve the formula, either can be in MATLAB or MAPLE. I tried using phclab, but it cannot take the input as a function.
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Same example as Francisco Muñoz-Paba using Julia's IntervalRootFinding.jl:
using IntervalArithmetic, IntervalRootFinding
f(x) = 0.86*log(0.27e-4+ 2.51/(1e5*sqrt(x))) + 1/sqrt(x)
roots(f, -Inf..Inf)
gets you the unique (and proven!) root:
Root([0.0188499, 0.0188501], :unique)
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I am carrying out research on MCF - MDM based optical transmission line performance analysis
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There could be multiple ways. However, if the transverse and the longitudinal extent of the device is large, then its will be a computationally intensive problem while using FEM. This is especially the case for low contrast devices. However, here is a possibility which could be extended.
You could use COMSOL to compute the modes of the composite structure. Then by exciting a certain core and propagating the field, you are essentially propagating a superposition of those modes each acquiring a different phase during propagation. The propagated field could be analyzed to compute the coupling coefficients.
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Kindly suggest any libraries/Books/platforms/tutorials for the same.
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Piyush Kumar, treat the data like any other polSAR data. There are no special techniques required to process them.
If you are interested to process them in python, here is a starting point: https://github.com/RadarCODE/awesome-sar#polsar-processing-software
Hope this helps !
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Hi All,
I'm trying to perform intensity analysis on videos in imageJ. The final goal is to obtain the line intensities acquired from 'plot profile' over the entire say 100 frames of the video. I cannot use the time analysis plugin because it only allows to perform such analysis in ROIs generating averaged intensity over a selected area...
Thanks
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Actually, the suggestion of Yan Vogel of using Analyze--> Plot Profile plots the profile of the ROI on the current slide (normally x,y), and not the profile across the stack (normally z or time). To have the profile across your stack you should select Image --> Stacks --> Plot z-axis profile.
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To achieve the final objective of my Ph.D. work, which is to design hybrid models for disease prediction on health datasets (such as the Statlog or Cleveland Heart datasets), I need to analyze various data mining and machine learning algorithms. I am confused about which algorithms to choose and on what basis, and I plan to conduct a theoretical study before implementing and performing the analysis on tools such as WEKA or MATLAB. Any suggestions on this topic are welcome, and please provide any relevant links to related work if possible. Thank you.
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Hello, everyone 
Seeking some clarification regarding model fit through SPSS AMOS. 
While performing an analysis for a variable with 5 items (each positively coded). It has been obtained that the values of factor loading as well as model fit except RMSEA are found to be good. The details are as follows:
N=361
Factor Loading Index
I1<--V=.81 (p<0.05 for all)
I2<--V=.89
I3<--V=0.80
I4<--V=0.82
I5<--V=0.76
Model Fit Index
CMIN/DF=5.64
RMR=0.26
NFI=0.98
RFI=0.95
TLI=0.96
CFI=0.98
RMSEA=0.133
Can anyone please thoroughly suggest me how to overcome this problem of the inadequate (poor) value of RMSEA? 
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Hello
James Phillip White
,
Good to hear back from you. In some of our research, published at the end of last year, in two separate samples we obtained EFA results that were similar to yours. There was only one factor (indicated by the scree plots, although in one sample two eigenvalues were > 1), the loadings were respectable (yours aren't bad at all), and the communalities were miserable in one sample (most down below .50) but OK in the other. The % of variance was down around the mid-40s for one sample and in the mid-50s for the other (still not impressive in the latter case).
We decided that the main problem was the items we had used (they were from a widely used scale that I believe is psychometrically weak - something we were half-inclined to demonstrate). We have since conducted research with what we anticipated would be much better items, and the psychometrics are way better. Way, way better. So, I suspect that some of the problem/issue is the quality of the items.
That brings me to your original question about the discrepancy between your RMSEA (unsatisfactory) and metrics such as your CFI and TLI (both OK). In our latest research, we obtained similar results to yours (though we have more items than you have, and I suspect that number of items influences CFA results) and, as a result, I hit the literature.
It seems that, until reasonably recently, researchers have been using rules of thumb (often citing Hu and Bentler, 1999) that have a wobbly foundation. The following article might be of particular interest to you:
Lai, K., & Green, S. B. (2016). The problem with having two watches: Assessment of fit when RMSEA and CFI disagree. Multivariate Behavioral Research, 51(2–3), 220–239. https://doi.org/10.1080/00273171.2015.1134306
I have come across a number of other authoritative articles that demonstrate the rules of thumb for CFA need to be applied with caution. Let me know if you'd like some more references but, for a start, the following are good:
Kenny, D. A., Kaniskan, B., & McCoach, D. B. (2015). The performance of RMSEA in models with small degrees of freedom. Sociological Methods and Research, 44, 486–507. https://doi.org/10.1177/0049124114543236
Kenny, D. A., & McCoach, D. B. (2003). Effects of the number of variables on measures of fit in structural equation modeling. Structural Equation Modeling, 10, 333–351. https://doi.org/10.1207/S15328007SEM1003_1
I'll finish off (for now, at least) with the thought that your items might be part of the problem.
Every good wish for your research. If you want to follow up on this more, but less publicly, feel free to message me through RG privately. Of course, however, sharing ideas publicly (even if it's a case of airing dirty linen) can benefit a wider "audience".
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I have mitochondrial DNA sequences to perform analysis of the genetic diversity and population structure of a fish species. What packages can I use on R? I estimate that I need to generate haplotype networks, PCA and diversity indexes.I thank you in advance for your contribution.
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Hello Sávio Guerreiro , the following article may help to address your question.
Best wishes.
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Performance analysis in blockchain environments integrated with web and mobile applications, only blockchain, etc.
Which metrics can be used?
Related articles are welcome!
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You can the following article regarding blockchain implementation and performance metrics.
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When I launch the analysis "compute posterior probabilities of scenarios", it crashes at 14% and an error message appears.
It appears that the problem is with my scenarii because the analysis "Estimation of posterior distributions of parameters" estimate just two parameters of the first scenario meanwhile there is five scenario with other parameters.
When I perform this analysis, scenario by scenario, it estimate correctly all the parameters. But in this way, I can't compare my scenarii...
Can somebody help me ?
Thanks !
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I had an issue also with DIYABC at calculating confidence. It worked after changing the settings for the run. The manual shows several examples and maybe you can spot something to change http://www1.montpellier.inra.fr/CBGP/diyabc/diyabc-2.1.0/tmp/diyabc-2.1.0-UserManual.pdf
Hopefully your solved your issue already.
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We aimed to perform analysis using ANN using 15 various parameters. Now we want to get importance of each parameter as output for further analysis but unable to do so.
Need help and kind suggestion in this regard.
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  1. In the performance analysis of modern wireless communication systems like the scenario of factory automation with 5G URLLC, which path loss model will be suitable and appropriate to assume?
  2. Any comments on the recent empirical findings regarding the same?
Thanks in advance.
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Use log normal _shadowing path loss model in microcell region if factory area is confined within 500 meters of radius. You will have to consider the several case...
1_ within building
2_From building to open space.
3_within open space
3_open space with scatters etc
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I am currently doing a testing using biodiesel emulsion fuel on a diesel engine. What is the latest software to do combustion, emission and performance analysis?
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Dear Loke,
AVL boost, DIESEL-RK, GT power, converge are more common.
Simplest is LabView software package, significantly less expensive than state-of-the-art commercial programs. this can be used.
Ashish
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Hello all
I need some suggestions in analysis of RT-PCR data. My problem is described as:
“I want to do the differential gene expression analysis using Real time-PCR analysis. I have run RT-PCR and obtained CT (cycle time) values for my gene of interest and for endogenous gene (GAPDH). I have done it for four cell lines, (one control and 3 cancer cell lines) for both GAPDH and my gene of interest. The experiment was repeated 3 times, i.e. 3 biological replicates and for each biological replicate there is 3 technical replicates. So, total there are 9 values for each gene and GAPDH for each of 4 cell lines. I have calculated delta-CT (CT(gene of interest- CT(endogenous gene)) values for each of them. Using delta-CT, I have also calculated relative expression (power(2,-dCT)) values. Now my queries are:
1. Which type of statistical test should I perform to analyze the results? (one way ANOVA, t-test or any other)?
2. Should I perform statistical test using dCT values or relative expression values?
3. Should I average 3 technical repeats values from each biological replicate and then perform the analysis (i.e on 3 values) or should I perform analysis using all 9 values without averaging?”
I would be highly thankful to you for your valuable suggestions and guidelines
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For the delta delta CT method there is an easy tutorial video on youtube: How To Perform The Delta-Delta Ct Method (In Excel) - YouTube
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Firm operation performance analysis using data envelopment analysis and balanced scorecard: A case study of a credit cooperative bank
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I would recommend reading the following article:
- James M. Kohlmeyer III and Janet A. Samuels. (2017) Rebecca's Coffee and Tea House: A Strategic Mapping and Balanced Scorecard Case Study. Issues in Accounting Education Teaching Notes 32:2, 13-25.
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I am using fsQCA software to perform the analysis. Could somebody elaborate the steps to calibrate a 7-point Likert scale? Say my target variable name is PE. and I have selected
calibrate(x,n1,n2,n3) function. Could you please explain what arguments would come in the function?
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Set membership scores are derived from empirical and conceptual knowledge.
One method from literature to transform a five points Likert type response scale into fuzzy set scores is:
0 = Likert score 1 (strongly disagree)
0.33 = Likert score 2 (somewhat disagree)
0.67 = Likert score 3 or 4 (neither agree nor disagree, or somewhat agree)
1 = Likert score 5 (strongly agree)
In a situation where the Likert response scale is large enough (at least seven points), and the responses are more or less evenly distributed across all values, there might be a straightforward method to obtain fuzzy scores from these categorical response values.
In a study addressing the fuzzy and relative poverty measures, Cheli and
Lemmi (1995) seek to analyze poverty in a multidimensional perspective. They proposed a method called TFR (totally fuzzy and relative) based on rank orders, thus applicable to both ordinal and interval levels of measurement.
The TFR technique uses an empirical cumulative distribution function on the
observed data, and it is best suited to interval level data. However, when data is categorical (even skewed), they propose a normalized version by applying a simple transformation to create a membership function that outputs scores between 0 and 1.
The formula below is an adaptation of their function, restricted to values equal to 0 or above, to make sure it can never output negative values :
TFR = max[0, E(x)−E(1) /1−E(1)]
E() is the empirical cumulative distribution function of the observed data,
and the formula basically calculates the distance from each CDF value to the
CDF of the first value 1 in the Likert response scale, and divide that to the
distance between 1 (the maximum possible fuzzy score) to the same CDF of
the first value 1 in the same Likert response scale.
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Dear all,
could you please suggest some hot/ topics in reliability engineering or in multi-state system performance analysis .
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Hello,
If you talk about reliability modelling, the two topic herafter should be considered:
- modelling the reliability of a system mixing hardware and software failures because at the present time they are considered separately and this is not really relevant: more systemic appraoches are needed.
- most of the reliability models are built for curative maintenance (i.e. the failure occurs and then it is repaired) when predictive maintenance is now more and more implemented (i.e. repair is undertaken before that the failure actually occurs) and the models based on curative maintenace become obsolète.
Best regards
JPS
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What is the best way to measure the performance of classifiers when multi-class data is under consideration? I've already practiced some in my research works. For example, I've used macro-average and micro-average ROC curve analysis for multi-class balanced and imbalanced data respectively. The confusion matrix display is another simple way to showcase the performance. However, it can be messy sometimes. For example, in one research we had 109 classes, thus, a confusion matrix of size 109*109 which is huge! I've also considered finding out class-wise performance (precision, recall, specificity, false-positive rate, f-score etc.) and then calculating the average or weighted average value for these parameters. Are these methods enough to measure the performance of a classifier for multi-class data? Or there are some more capable ways to measure the performance?
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Currently I am working on my undergraduate thesis on D2D mobility management system in 5G cellular system. I need to do performance analysis for my methodology. So I need a suggestion that which simulator software would be better for simulate D2D mobility?
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You can see https://tetcos.com/5g.html for more information on NetSim 5G module, and https://www.mathworks.com/products/5g.html for MATLAB's 5G toolbos
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I performed a simulation with Protein-Protein Dimer and a small molecules ligand successfully by GROMACS. But now I want to perform the Analysis of the simulation such as, RMSD, RMSF gyration etc. But the thing is that the protein is dimer, So can you give some tutorial where dimer and ligand complex simulation is there?
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yeah now i got it. thanks everyone.
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I am trying to perform a particle simulation through the human lung bifurcation geometry. I have created a idealistic geometry for three bifurcations and then I am trying to perform analysis in Openfoam using DPMFOAM because it involves Multiphase fluid particles as a Lagrangian and air as continous phase and trying to simulate the flow of the particle behaviour with a particle size of 0.0001 - 0.01 microns. The case is only a Laminar case , but the DPMFOAM by default has a PISO solver So can I change it to SIMPLE and one other big problem is that I have to incorporate two conditions i.e, one is inhalation where inlet is given from one inlet and outlet is obtained from eight outlets and after 2 seconds of the inhalation is done the same outlets has to act as inlets and flow has to come back but the particles will be carried away forward but only air is obtained back. So how can I perform this type of analysis using DPMFOAM. Please help me with this problem. The geometry is attached below?
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Thank you Sir
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I want to perform contact analysis of a plate subjected to deformation under an applied voltage. Kindly suggest me the element types to be employed and the procedure for performing analysis in ANSYS APDL environment.
Thanks.
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Hamid,
I think that you need to use CONTA174 and TARGE170 for defining the contact between these two parts. Since these two parts are going to be in contact during the analysis, I think you need to consider a frictional contact between the "Bodies" (Not the surfaces), Also set the KEYOPT to KEYOPT(1)-5 which is going to provide structural and electrical degrees of freedom.
I suggest you perform a structural analysis (only) with your geometry and make sure that the contact is working properly and then apply that setting to your main model. Please have a look at the analysis I just did to figure this out.
Hope this answer helps.
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Hi,
I would like to know if any of ladies and gentlemen happen to know of any simulation software like ns3 with OFDMA implemented for 802.11ax apart form cisco's one.
I read that some people simulated OFDMA in ns3 by using parallel transmit and receive chains for each client in this beautifully written paper "Performance Analysis of Uplink Multi-User OFDMA in IEEE 802.11ax" by G. Naik, S. Bhattarai and J. Park.
I have tried to integrate mat-labs WLAN toolbox to ns3 but couldn't create parallel transmit and receive chains
It would be very generous of you guys if you can share some of your ideas on how it could be achieved.
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see this link may hep you:
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Hello, I am doing a sustainable tourism development analysis in visitors' perspectives. I need to determine the number of sample size for both pilot test and the actual surveys. There are of 34 items that needed to be rated by the visitors in 7 point likert scale. Do you know which study I can refer to in determining the number of sample size for this research? I am going to use Importance-Performance Analysis for this research. Thank you and very much appreciated.
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Based on Byrne’s (2010) suggestion that the number of samples should not be less than 200. Hair et al. (2013) argued that a minimum of 200 samples and a maximum of 400 samples are required to apply the structured model analysis. Importantly, Sideridis et al. (2014) argued that if the sample size exceeds 400, the structured model will then present a poor result of the goodness of fit indices. In your case, you can choose 5-10 questionnaire for each parameter.
all the best
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I am starting on a few base cases here with mapping the resultant solar intensity on a surface covered by a horizontal cover (made up of a certain material). The other base case involves a sinusoidal wave-shaped cover over a horizontal surface. I need some simulation tool options that will allow me to perform such an analysis in a dynamic setting ( location-specific, real-time positioning of the sun, etc.). The ultimate objective is to replace the underneath surface with a PV module and in turn calculate the energy yield for the corresponding incident solar light intensity. The study is to determine the influence of the covers ( shape, size, design, material, distance) on the energy yield of the PV modules underneath.
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You should find the tools you need in PVlib https://pypi.org/project/pvlib/
There's also a similar library fro Matlab.
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Hi,
I did a RCT-4 arms, so I have 4 different groups supplemented with different doses of a specific dietary treatment (including the Placebo).
I would like to see the dose-response relationship with e.g. blood pressure that is adjusted for baseline data. I know how to perform the analysis on SPSS on adjusted data, and its simply from contrast and choose polynomial. However, I don't how to plot it on SPSS, how can I use the adjusted data to do the plot?? Please advice if you have an idea.
I am using SPSS 24
Thanks
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Dear Dr.,
I advice you to use Graphpad prism.. it is much more easier and practical than SPSS specially in drug response statistics and graphs.
Good Luck
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We want to determine if there are statistical differences in the structure of the microbial communities of a lake. For this, samples were taken, monthly, for 10 years, from two depths and considering two fractions (particle associated and free-living). In this way, we have a Species-Sites table where in the columns we have the OTUs and in the rows, for each date, the depth-fraction combinations. Normaly we perform the statistical analysis using the function adonis of package Vegan (Permanova). However, we would like to know if it is correct to assume that each one of the dates as repetitions? Is there any other test e.g. mixed model or LASSO that can determine significance in the differences between depths or fractions considering the time series? Any suggestion on how to perform this analysis will be appreciated.
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If you want to know what happens month by month, then you can use month as a factor, but it is usual to pool data for years and assess seasonal or yearly changes
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ff
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Dear Ahmet,
The outage probability Po is the summation of t he instants of time Sum dt at which the received signal will not sufficient to give correct received data because of deep fading divided by the total transmission time Tt.
So the Po= Sum dt/ Tt. This is valid for one hop or more than one hop.
In case of intermediate relays, it depends on the signal processing in the relay how far the relay will affect the Po.
- If the relay is regenerating the data, then one can consider that one has two independent hops. The successful transmission probability Ps= 1-Po can be calculated for each hop such that Pst= Ps1 Ps2= (1- Po1)(1-P 02)= approximately to 1- Po1-Po2 = 1-Sum Po
So , one needs to calculate the Sum of Po.
If the repeater is just an amplify and froward device then one has to consider the final received power at the destination after the two hops such that
Pr= G h1 h2 S1, which is the received power at the destination after the two hops with channel transfer coefficients h1 and h2.
The total noise at the receiver Nt= G h2 Nrepeater + Ndes,
where G gain of the repeater, Nrepeater, the repeater added noise power at the input of the repeater and Ndes is the destination added noise at the input of the destination,
So, finally the S/N = Pr/Nt, This ratio will vary with time randomly with time because of fading. The instants where S.N decreases less than certain critical value the data will be lost and outage occurs.
So Po= Sum dt/ Tt. With the help of the statistical channel models then one can calculate the outage probability.
Best wishes
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I'm going to analyze and compare the fund performance but most of the fund in my study (8 from 20) are newly registered and have only 1.5 year's data. I intend to use monthly data and my study period is 5 years. I'm wondering if:
1. Is the sample enough? and how to know that it is enough?
2. Should I change the monthly data to weekly data? or should I omit these funds and use only the old funds?
3. If I change the data frequency as said in (2.), will it has effects in my study? Do I need to test for the correlation or other things?
Thank you in advance for your kind help!
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The answer depends on what you are willing to assume, or what you can convince others to assume. The more assumptions that are made the less real data are needed. So some first questions might be are the 20 funds a population, or a sample? Do you want to know only about the 20 funds and nothing else, or will you try to leverage what you know about the 20 funds into some broader conclusions?
Following that, you might think about what you want to know about the tails of the distribution. If I have 8 samples, what is the chance that I will detect an event that happens once in 40 tries, and if I would get such an event in my sample of 8 what would it do to my conclusions?
It is difficult to estimate the effect of using a larger sample size than the one collected. Ideally, to test the effect of a sample size of 8, gather a sample size of a few hundred and then run simulations with different sample sizes. An alternative is to assume that your sample size of 8 is representative of the population of interest, in which case you can use random number generators to simulate samples of any desired size.
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I did an analysis in fluent for a flow over vanes with a constant inlet boundary condition (Mass flowrate). With this, I got positive lift, drag and moment. Thereafter, I perform the analysis again using profile as the inlet boundary condition to depict exactly what is happening in the system but this time I got positive lift and drag and a negative moment at zero degree deflection angle but from one degree deflection angle and above, I got negative lift and the rest positive. Trying to understand what is happening, I performed the analysis again using negative angle (example; -1 = 359, -2 = 358..... degrees) and I got positive lift and a negative moment.
Please, can someone tell me what could be the problem and how to fix it.
I am expecting increase in lift with increase in deflection angles.
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Hi Uchenna,
it seems for me that you have a poor mesh and a postprocessing problem. In Fluent you often have such problems in postprocessing. Normally, I check such errors exactly in the same manner you did. I do very small changes and look at the results, if they change completely, it means, it is coming from the postprocessing tool. Try to plot the results by using only the nodes values and export the data in a txt file. This will help you to look at the calculated results without any manipulation, like interpolation etc. performed during postprocessing.
Best regards,
Antoni
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I worked with secondary data which covered a macro scope (a country) and i would like to do a regression to see which parameters that most affect the independent variable, in this case there are proximately 20 parameters. the paramaters are aggregated in
1. individual context (proximate determinant),
2. households context, and
3. region context.
Which paramaters contains nominal, rasio, and ordinal data.
i'd perform analysis that geografically based (like the Geografically Weighted Regression) but with the aggregation that i made and the type of data that also diverse, what will be the best analysis that i could do?
I have two separate groups which are asked under different conditions to sort a list of items in terms of preference(building a hierarchy). The total number of items is 5 and the data is categorical(nominal).I want to do a comparative analysis between the two hierarchies and measure how significantly they differ form each other. What analysis should i use?
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Good day,
- Have a common scale - (Ordinal or Nominal)
- Use Vailidity like Substantive validity to understand the items contribution
- Then normalise the data for the respondents
- Then choose the outcome variable and decide the independent variables for the analysis
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Good evening
I have a problem on my hands.
I need to regress the following:
I have 5 separate groups of panel data with one reference group.
Each group tracks the same variables of individual company's over 5 years.
These companies are sorted according to industry.
My question:
How do I match and regress the observations according to industry from the other four groups with the reference group ?
In this case i am comparing the levels of business success of belgian entrepreneurs with neighboring country immigrant entrepreneurs, immigrant entrepreneurs from further than neighboring countries , immigrant entrepreneurs in a team with belgians and immigrants in teams with other immigrants.
Each needs to be matched according to industry to ensure that we are comparing apples with apples.
Please help, which model should I use and how should I perform the analysis ?
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Hi,
Given a set of RNA-Seq and matching Exome-Seq data, how can I analyze the allele specific expression imbalance from it? Are there any pipelines out there for performing the analysis?
Thanks,
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Hello all,
I am preparing a report on NREL 5MW reference wind turbine performance (thrust and power) using BEMT in MATLAB. since I am not very much familiar with MATLAB coding. hereby I want to ask if someone have a working code from his/her previous projects, it would be great to share it with me. Thank you in advance. Merci
NREL 5MW wind turbine performance using Blade Element Momentum Theory in MATLAB via running FAST
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Dear All,
I want to perform electrostatic analysis and wanted to compute capacitances using the CMATRIX command at any required distance. Anyone here who can help me to perform the analysis.
Thanks
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Hey I am looking to do the exact same thing. Let me know if you have figured something out. Thanks!
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How performance of the Big data can be analysis, which framework should used ?
Is Hadoop and Spark Framework are good or other tool should use , is any Source for code or algorithm can find?
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If large data sets collected in the Big Data database system come from the Internet, then sentiment analysis may be used.
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I need a MATLAB code for 3D sparse representation to perform the analysis of low-frequency sub-band images.
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Thank you, Mohsen and Yosra.
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I am currently working on the effects of rock boulders upon a structure and I would like to simulate the dynamic impact force using Plaxis 2D. Since the duration of the impact is between 0-0,2 sec , how could I calibrate precisely a table of Impact Dynamic Force avoiding excessive Globar Error, and Log Info ''Accuracy condition not reached in last step''? Briefly, I'd like to mention that I tried to perform the analysis defining as accurately as possible a figure of Force domain.
Thank you in advance,
Paschalis M.
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You could design your impact load with very small time step in table load. then the PLAXIS will select an appropriate time step automatically or you could change the time step of the analysis to manual type and insert a very small time step by using number of steps close to 400 steps according to your case.
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When sequencing a marker such as COI, sequences with different size of base pairs are obtained.
After aligning the sequences, it is observed that some sequences extend in the 3'-direction and in other cases in the 5'-direction.
What is the best way to carry out a phylogenetic analysis? Perform the analysis using the original size of the sequences, keeping as much information as possible and completing the information of the short sequences with "?".
Or cut the sequences is recommended and perform an analysis using as information, sequences of the same size.
Can you recommend an article that talks about this?
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I would perform MAFFT (https://mafft.cbrc.jp/alignment/software/) for aligning (this software can will help in detecting the direction, and could change to reverse complementary if necessary). Then you could use GBlocks (http://molevol.cmima.csic.es/castresana/Gblocks_server.html) for a standarized trimming of sequences.
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I am working to compare protein expression protein X and Y in two tissues and have lots of questions about correctly performing the analysis. Here is my current set up.
Tissues:
2 tumors sliced into 5 samples each for a total of ten slides.
Protein X positive Control Tissue
Protein Y positive control tissue
Protein X negative control tissue
Protein Y negative control tissue
Antibodies:
Antibody to a protein that I know to be positively expressed in both tissues
Anti-mouse antibody as negative control
Protein X antibody
Protein Y antibody
Can I quantitatively compare MOD between different batches to claim a difference of expression of protein X and Y in tumor A and B?
Am I using to many or two few controls? Do I need to run all of these controls with every batch?
Thanks,
Jacob
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IHC is as a rule not a quantitative technique. You could compare the relative expression of one protein in multiple samples, if they are stained at the same time, if your stain works well, and if the expression is relatively homogenous throughout sample tissue. But you can't make a judgement on two different proteins, as the staining intensity for each will be highly dependent on your IHC assay protocol, and on the primary antibody used.
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I want to performance analysis for ODCA now I need suggestion that which simulator tools is better for this work.
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We have performed Clariom-S microarray-based transcriptome and TMT-MS based proteomics analysis on healthy and patient samples.
Our idea was to study the correlation between gene- and protein expression between healthy and patient samples, for which we have calculated an overall mean Spearman coefficient for all the genes- vs proteins-expression correlation. More specifically, I have identified 8000 genes common in both gene and protein study, and calculated mean correlation coefficient. I obtained a Spearman coefficient value of 0.58 for this dataset. 
Further, what we are interested in doing is: calculating pair-wise Correlation between mRNA and protein expression of all 8000 individual gene-protein pairs so as to create figures (as shown in Fig. 2a in Paper -2 and Fig. 3a in Paper1 attached here).
I was wondering if you could provide any insights into how to perform such an analysis. To my knowledge, most researchers use program ‘R’ to find such gene-wise correlation. Unfortunately, I have no experience with using this program. Is there any software/program that I can use for this.
I would much appreciate any help/advice.
Thank you!!!
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R will provide all that you need. There are several ways to do this. For example, you can run a for loop to perform the 8000 wilcox.test() calls. It might be helpful for you to look at Microarray analysis teaching materials (for R), because this type of task is common in that field. For starters (R in general), use Google or have a look at https://www.researchgate.net/project/Teaching-R
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I would like to know whether it is possible to use the concepts of queuing theory for performance analysis of FPGA. By FPGA implementation I mean stand alone fpga implementation, not as co-processor.
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Thanks a lot for the reference Mr. Luis Castano-Londono
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I am trying to perform a numerical analysis on a morphing (folding) winglet and would like to know if there is a "best" tool to perform the analysis. I am currently familiar with Natran Aeroelastic Analysis.
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ANSYS
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I want to perform analysis on a concrete beam subjected to static load at centre of beam. How can I model steel concrete interaction? How can I model a perfect bond?
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while i am performing analysis on two layers it give the result with reference to top layer only not the combination of two layers .
so give me a procedure to create interface between two layers in plaxis.
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Following
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Hi eveybody,
I saw that several protocols for the analysis of nitrogen wet deposition prescribe the analysis of the collected samples every week.
Would it be fine to perform the analysis of the collected sample every 2 weeks? Are there protocols supporting this timing?
Thanks,
Alberto
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