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Detection - Science topic
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Questions related to Detection
How to generate standard curve for antibiotic sample in spectrophotometer?
Can anyone provide me with deep-learning python code to detect the QR codes in natural scene image then scan and read them?
In a signal is to be transmismitted, first pilot symbols are added and then through Mach-zehnder modulator it has to be transmitted for optical communication purposes. So, for pilot symbols, they have to be go through Mach-Zehnder modulator. The output of Mach-Zehnder modulator is E_out=cos(phi); Where phi= ((U+U_dc)/U_pi)*pi. and here, U_dc, U_pi and pi are constant. And U is the information after inserting pilots. This signal E_out is sent through the channel h.
Now, my question is that how should I estimate the channel because the pilot are gone through Mach-Zehnder modulator before the channel. and How should I extract the pilots and estimate the channel? Thank you.
I am working on an ECG QRS detection algorithm which I did implement it using C language. The code detects the ECG peaks regardless of the beat type (Normal, Paced, … etc.) and it saves the detected peaks into a text file as time location of the peak.
To evaluate my algorithm I have to compare the obtained peaks to those provided in the reference annotation files (MIT-BIH arrhythmia database). By comparison I can find the FP and FN peaks, and then calculate the sensitivity and positive predictivity from them. The main objective to find all of the peaks and not the type of the beat.
According to the Physionet guide, using the “WFDB Software Package" in "Cygwin” I have to do the following:
- Use “rdann” and “wrann” functions to convert my text file into a compatible annotation file.
- Use “bxb” function to compare my obtained beat annotations beat-by-beat to the reference annotations. (Ex.: bxb -r 100 -a atr yow -L bxb.out sd.out)
I am looking for few clear examples showing how to convert the text file into an annotation file and then compare the annotations to the referenced ones. I also tried “rr2ann” function to convert my text file into an annotation file but it did not work for me.
Is there any effect of damage shape on the damage severity? And which do you expect has more severity of damage the holes shape or longitudinal shape? And why?
I am looking to measure small amounts of heparin released from a material that had heparin incorporated during fabrication. I would like to accurately verify and quantify the release of the heparin over time from 1-21 days post fabrication. I am aware of a $600 detection kit. Is there a cheaper method/kit?
Does anyone get errors with using the Recognition part in " Scene Text Detection and Recognition by CRAFT and a Four-Stage Network" ?
Dear Experts, In order to apply carbon dots (CDs) for the removal of analytes, why do we need to encapsulate these nanodots with other materials? Is it possible to use CDs as a lone adsorbent? Thanks in advance for your valuable comments.
Do we have to classify lethal weapons based on size , shape or temperature?
Hi everyone! I am looking for a dataset and I'm gonna be so thankful if anyone helps me by introducing any link to access databases. I want to research on knock detection in spark ignition engines by processing of vibratory signals. so first, I wanna validate a pervious study in this field. Thus, I am looking for a dataset and related researches that were done before according to the databases.
I’m a graduate student and I’m going To start my thesis research , could you help me to find something related to the islanding detection to research about ,thank you at all
We are working on mammogram images. And want to detection the bounded of the tumor via the segmentation method. Specifically, we like to use ACTIVE contour and level set technique. But do not clearly understand the difference between them.
I have tried tabula-py library and java tool so far but it results in many false positives ( i.e. telling that a table is present when not the case).
Some of the cases were
content 1 content 3
content 2 content 4
If text is written in the above manner, then also it marks it as tabular data. Is there any solution that does the task better and handles the above problem. ( including Deep learning or other techniques).
I've been trying to detect mScarlet protein purified from E. coli via an ELISA assay. My protein has two tags: an N-terminal Strep-tag and a C-terminal His-tag. To do the ELISA I've used Streptavidin Coated Plates (https://www.thermofisher.com/order/catalog/product/15500#/15500) so that the Strep-tag attaches to the plate and then using an anti-His antibody for the detection of the protein. However, not only we've observed low signal on our samples which are similar to our negative control.
On another pilot test I used 96 well high binding cell culture plates and no BSA blocking, and this time around the negative control shows more signal than the purified mScarlet samples.
If anyones knows what could be going wrong, your help would be very much appreciated.
How to get access to LYON19 dataset? histopathological image dataset of Lymphocytes provided by LYON19 challenge is not accessible from its challenge site https://lyon19.grand-challenge.org/Background/ .
I am preparing reduced graphene oxide by using plant extracts...I was thinking if I could use TLC (in addition to UV and IR) to detect the reduction reaction by the increase of hydrophobicity which might result in an increased RF when using an organic solvent.
FTIR technology is considered the most advance for the detection of adulterants in milk. Is there any mathematical relation that can describe the relationship between the amount of adulterants in milk using the absorbance from the FTIR? Please suggest any research articles that describe this or related areas.
We are performing electrocatalytic CO2 reduction experiments and are unable to measure the low quantities of CO that we are producing. This may be due to a large excess of CO2 (20 mL/min) that we are flowing through the cell.
We are using Soprane GC machine with Molecular sieve 5A, 10 m long column.
I'm trying to implement a fall detection algortihm written in C in a Zybo board.
I am using Vivado HLS.
I don't know how to start even if already did the tutorials related to Zynq7000.
Thank you for any help.
Where can I get the signal-to-noise ratio values for detection limit, significant detection, etc for XMM-Newton's EPIC pn data ? Can someone suggest any reference ?
I am new with occupancy models, and I am working on selecting a model-fitting function for an occupancy model to use for a camera trap study that incorporates abundance and multiple seasons into detection. I hope to use unmarked in R, though I am open to other options. The Royle and Nichols 2003 function (occuRN) seems to be best for using abundance models, while the MacKenzie et al. 2003 (colext) function seems to be used for multi-seasons. My study design is as follows:
- 3 summers of data collection, camera traps deployed in backyards
- Cameras deployed 2X per season in each backyard for 7 days at a time
- 2 cameras in each yard per deployment (at the same time)
I realize that I will have to account for the spatial and temporal autocorrelation, and that they can't be treated as independent samples, but having 2 cameras per deployment may give me a unique advantage to modeling detection. They were always deployed in roughly the same areas of the yard with roughly the same amount of cover and other habitat metrics. Should I be utilizing the multiple season functions, the abundance-informed functions, or another type of function?
Thank you for your assistance!
I have run a power analysis on my occupancy models that says for a power of 0.85, and using 204 sample units with 11 replicates, the detection probability would need to be about 0.096.
How can I convert this detection probability to tell me how many detections (1's) would need to be in my detection history for that to be the detection probability?
Thanks for any help!
How long could injected BrdU exist in the body and be detected by BrdU assay once it is incorporated into the proliferating cells? Last until the cell death? Thanks very much!
I would like to detect any moving object (in particular human) from a distance of 10-15 meter. Is it possible to implement such sort of system using Arduino and PixyCam?
Any information regarding this issue would be highly appreciated.
I have a protein of interest, X, and it has a single phosphorylation site identified. Another protein A might dephosphorylate X. I want to knock down A, and quantify the change of phosphorylation on X. The problem is I don't have antibody against the phosphorylated X. Is there any other way that I can detect the phosphorylation level on the protein? Thank you!
iam doing project on vehical detection during night,fog,rain,&other environmental conditions so plese hep me to do this project ;
And any one plese send me source code for night time vehical detection
The interest is to understand what are the perspectives of bio or nature inspired methods for matching the signs of intrusuions.
Could you pls let me know how we can determin Vit D3 on paper base technique ?
I mean how we can load the antibody on it and how that solution run to detect the vit D3 on band? Their are vitamin D3 detection KIT are available, how accurate are they ?
Pls guide me in this.
A computer disc drive mfg. company had a problem similar to this irregular heart beat problem, 1985. The disc drive model consisted of 3 modified Lorentz functions. The model was tried on 200 drives; 199 drives agreed with a small standard deviation. But, the last drive showed a -major- defective drive. Thus solving a mfg. problem with a least-square curve fit. So, it can be done ... try it!
Research Proposal (Human) Heart Beat Math Model found with the CurvFit App ......
The employment of machine learning in security field is higly emarged in the current era. But, yet, did the researchers in security field utilize from it in 100% detection or protection from one or multiple kind of malwares ? Or do you forsee that malwares ( or specific malware type, like ransomware or trojan or ... ) will be obsolete due to the successful analysis of their behavior (Dynamic or static ?) by machine learning algorithims ?
Excited to read your views.
(Resources that support your opinions will be much supportive!)
Hi I am Wini a Masters student from Hochschule Anhalt. I'm really interested in AAV-9 production. I am just starting, and was wondering if anyone could provide me with some tips/protocols/techniques about AAV-9 vector Purification methods and detection of AAV9 ?
Since I have seen the production process also need helper plasmid or helper vector can anyone also suggest me which can be a best helper plasmids?
IL-1B/IL-18 secretion, westen blot analysis of 2 subunits of caspase-1, FAM-FLICA detection or another method?
I want to detect caspase 1 activation in human monocytes-derived dendritic cells after interaction with my pathogen.
I performed 3 WBs for 2 groups of samples (first group twice). I used RAW 264.7 cells trated with LPS.
My first group of samples had a lot of unspecific bands, one of them was also IRF3, but there was too much of those unspecific. So I performed 2 more repetitions where:
- samples from the first group for phospho proteins had no bands and whole membrane glowed (I did blocking in milk) and for total proteins there was literally nothing to see.
- second group of samples had barely some bands for total proteins but no bands for phospho proteins with whole glowing membrane again. I used milk for primary antiobodies (total 1:200 mouse, phospho 1:1000 rabbit). I would appreciate any recommendation how to get better results and to avoid unnecessary mistakes.
Can anyone point me to an algorithm or a model that can detect body movement from the accelerometer data on a wristband.
Hi, I'm doing doing RT-PCR to detect the presence (or not) of a pathogen. I've done it 6 six without any problems, however, my last three attempts failed, because I don't get a standard curve anymore.
The samples and the standards start in a low concentration, then they are simply not detected anymore (there is a gap in the graphic), and in the end they are detected again, but no signal of the standard curve.
I've already changed the standard dillutions (0,1; 1; 10; 100), the probe and the TaqMan, but nothing worked.
Is it possible that I'm mishandling it or it is likely a problem from one of the reagents?
I want to track only a single object , I want the RGB values of that portion in color frame. Any kind of suggestions is appreciated.
I am planning experiments which should produce formaldehyde and I aim to quantify it. The amount generated will be small (upper nano to micromolar range). Ideally, I'd like to use tests that wouldn't involve long/complex sample manipulation, such as chemical derivatisation.
I am aware of many methods to quantify formaldehyde (e.g. PFBOA derivatisation), but is there any certified methods that don't involve derivatisation?
I am aware of some types of spectroscopy (e.g. Raman) being used for such intents, but as far as I am aware, their sensitivities are pretty poor.
to detect cases that condemnation carcass after slaughter
We are working on a pedestrian tracking project. We don't need a long-term tracking the tracking manly required to determine the direction of those people. Now, suppose that i have two types of video recording; one is a top view, and the other is with an angle; which one is easier to deal with, in term of the algorithms? And the accuracy of those algorithms?
I combined QCM with loop-mediated isothermal amplification (LAMP) for the detection of specific DNA. But the false positive result is big problem. Can anyone help solving this problem?
It's often a bigger challenge to differentiate drones with bigger birds from radar data. Amidst the presence of some techniques using video detection, radio signal detection, heat signature detection and the radar based approach, the effectivity of the technique is not very well placed. Would you please help me with some directions, as I am interested to work on this topic.
How do i decide which QD to purchase? and does the emissison peak matter if i am only aiming for detection and not illumination purposes?
what are the pieces of information that i should look for when making the purchase?
Im looking for the newest hybrid metaheuristic technique to use it over NSL data-set or any other DDoS datasets
Can anyone please explain about the working of thermal imaging and UV imaging? How these modalities useful in detecting the ingredients from food?
How to detect bad data in inputs of system dynamic equations?
Topic fault detection in coal seam
I'm looking into sulfur (elementary, H2S production through wild yeast strains, sulfite, etc.) in grape must. Would anyone know material about the possible quantities that can be found, and by which ways sulfur is detected in labs?
We know that the major problem in wireless communication hidden node problem. I need help about the algorithms to detect hidden node problems
I would like to know how can I measure Arginase I activity/NO concentrations in heart samples. Please, suggest me the best way to do so,
Thanks in advance
to detect change in milk after treatment by thermal method
Im going to do Multiplex qPCR for detecting 3 viruses, how i calculate a valid t sample size for testing
After assembling the coin cell (half cell), is there a way to detect/ predict the bad cell without charging the cell? So that we can reduce the possibility of coin cell getting explode during charging/discharging test or while performing CV.
Thank you all for your time.
i want to know the light microscopically differences between apoptosis and necrosis,
my thesis is intrusion detection using HMM. but percent U2R is the best 95%
tell me why?
I'm trying to detect IL-8 in A549 cells, the problem is that the all the samples, incuding the negative controls (which are only with PBS) are so stimmulated that I have saturation of the wells. Anybody have had this problem or something simmilar?
Is it completely data driven failure detection??? Which type of process or system is being considered?
For instance, how we generate an accurate results of detecting occlusion in a sequence of images in real time ?
to detect the factors that accelerate the occurrence of rigor mortis
I was trying to assess Arhaea in my sample but the results are very low (8*10^0, 1,7*10^2). I am wondering whether this result should be recognized as "not detected" or not.
Is there some trick in determining if a buffer contains calcium? Preferbly without having to order some kit since time is of the essence
I have ndvi values from series of points obtained from time series satellite images. How can i detect anomally from these values? Thanks
Agrobacterium-mediated transient expression of a candidate protein induces strong cell death in Nicotiana benthamiana leaves. There is a FLAG taq in the N-terminal. But, I can not detect it using western blot. What can I do? Looking forward to anwsers...
Are there any publicly available real database activity logs for misuse/anomaly/insider threats detection ?
Does anybody knowing what sort of techniques/ methods can be used to detect MicroRNA
What is the best compound / marker in order to determine the void volume (V0) of a Shodex Sugar SP081 column (SEC and LEC column, RI detection)? Thanks for your advices!
I used ESI-QTof-MS to identify the adducts formed between phenolics and amino acids and i used Nigative mode. My question is: why my adducts m/z have higher mass than normal? For example, my adduct should be m/s 420.1 but 421.2 was detected.
In TamilNadu, Which institute is carried out these experiments?
I want to know the procedure of the method of the detection of Cr. using Diphenyl Carbazide.
i want to study and do research about mycovirus, but i don't know much about that. Anyone can help me? thanks
In case the answer is positive, please share what kind of images and methodology.
I want to improve the THD method in detection of islanding detection, so I won't use a new parameter like H that use in the attached paper, it proposes a grid voltage of 0.38 kV and 100kW that is connected to 13.8 kV, so I need to set a threshold for H parameter, could you help me and tell how dose it chooses?
I got the problem on my qRT-PCR as I could detect GAPDH expression but I could not detect specific genes. I already checked primers and repeated but the results still failed. Do you have any suggestion? Thank you.
Specially after certain treatment during in-vitro study
If the compound to be detected is being run in HPLC, is it necessary to prepare that particular compound with the mobile phase??
I'm uncertain if it's a technical issue that I need to troubleshoot and resolve.
Sudden Oak currently is important issue in forests of Iran. I want detect this issue using SAR data.
how can i increase relative sensivity in c4d detection for electrophoresis?