scholarly journals Comprehensive Study Between Different Attendance Administration Systems

2021 ◽  
Author(s):  
Hanzela Mohsin ◽  
Adeel Qaisar
Keyword(s):  
Face Recognition ◽  
Roll Call ◽  
Total Interaction ◽  
High Level ◽  
Study Halls ◽  
Comprehensive Study

Participation method has a troublesome job in the homeroom since it includes appropriate tagging of participation for every person against their own roll call. The time and assets to be consumed for the total interaction is additionally the principle examining thought for participation marking in study halls. A ton of exploration has been done to work on the method utilizing various innovations, for example, RFID labels, standardized tag examining, biometric scanners, face recognition, and so on This paper gives the inside and out investigation of the writing for the diverse verifiably applied frameworks and dissects everyone's weaknesses to consider the high level framework's sending suitability. The examination distinguishes the biometric highlights as a norm for verification. Unique mark, face and iris acknowledgment are far predominant than different methods in presence.

scholarly journals ASSAS: An automatic smart students attendance system based on normalized cross-correlation

2021 ◽  
Vol 10 (2) ◽  
pp. 732-741
Author(s):  
Ruaa H. Ali Al-Mallah ◽  
Dheyaa Alhelal ◽  
Razan Abdulhammed
Keyword(s):  
Image Processing ◽  
Face Recognition ◽  
Cross Correlation ◽  
Correlation Technique ◽  
Human Being ◽  
Roll Call ◽  
Student Attendance ◽  
Normalized Cross Correlation ◽  
Two Phases ◽  
Cross Correlation Technique

A smart student attendance system (SSAS) is presented in this paper. The system is divided into two phases: hardware and software. The Hardware phase is implemented based on Arduino's camera while the software phase is achieved by using image processing with face recognition depended on the cross-correlation technique. In comparison with traditional attendance systems, roll call, and sign-in sheet, the proposed system is faster and more reliable (because there is no action needed by a human being who by its nature makes mistakes). At the same time, it is cheaper when compared with other automatic attendance systems. The proposed system provides a faster, cheaper and reachable system for an automatic smart student attendance that monitors and generates attendance report automatically.

scholarly journals Feature Extraction Method GLCM and LVQ in Digital Image-Based Face Recognition

SinkrOn ◽  
2019 ◽  
Vol 4 (1) ◽  
pp. 1 ◽  
Author(s):  
T. Sukma Achriadi Sukiman ◽  
Saib Suwilo ◽  
Muhammad Zarlis
Keyword(s):  
Feature Extraction ◽  
Face Recognition ◽  
Data Extraction ◽  
Feature Extraction Method ◽  
Analysis Process ◽  
The Face ◽  
The Media ◽  
Occurrence Matrix ◽  
High Level ◽  
Very High

The face is one of the media to identify someone, a human face has a very high level of variability. Many methods have been introduced by researchers and scientists in recognizing one's face, one of the methods introduced is the Feature Extraction of Gray Level Co-Occurrence Matrix (GLCM) and Learning Vector Quantization (LVQ). GLCM feature extraction is used for data extraction/learning process whereas a data analysis process (face recognition, cropping and storing data) the LVQ method is used for the data training process where the data that has been processed in GLCM feature extraction which still has large dimensions are processed to be smaller dimensions. So this test uses data of 190 photos and gets a match of 90%, the authors conclude that the GLCM feature extraction and LVQ method can very well recognize faces contained in the database.

scholarly journals BLVector: Fast BLAST-Like Algorithm for Manycore CPU With Vectorization

2021 ◽  
Vol 12 ◽  
Author(s):  
Sergio Gálvez ◽  
Federico Agostini ◽  
Javier Caselli ◽  
Pilar Hernandez ◽  
Gabriel Dorado
Keyword(s):  
Amino Acids ◽  
Execution Time ◽  
High Performance ◽  
Protein Sequences ◽  
Processing Unit ◽  
Central Processing ◽  
Real Scenario ◽  
High Level ◽  
Performance Computing ◽  
Comprehensive Study

New High-Performance Computing architectures have been recently developed for commercial central processing unit (CPU). Yet, that has not improved the execution time of widely used bioinformatics applications, like BLAST+. This is due to a lack of optimization between the bases of the existing algorithms and the internals of the hardware that allows taking full advantage of the available CPU cores. To optimize the new architectures, algorithms must be revised and redesigned; usually rewritten from scratch. BLVector adapts the high-level concepts of BLAST+ to the x86 architectures with AVX-512, to harness their capabilities. A deep comprehensive study has been carried out to optimize the approach, with a significant reduction in time execution. BLVector reduces the execution time of BLAST+ when aligning up to mid-size protein sequences (∼750 amino acids). The gain in real scenario cases is 3.2-fold. When applied to longer proteins, BLVector consumes more time than BLAST+, but retrieves a much larger set of results. BLVector and BLAST+ are fine-tuned heuristics. Therefore, the relevant results returned by both are the same, although they behave differently specially when performing alignments with low scores. Hence, they can be considered complementary bioinformatics tools.

A comprehensive study on face recognition: methods and challenges

2020 ◽  
Vol 68 (2) ◽  
pp. 114-127
Author(s):  
Parekh Payal ◽  
Mahesh M. Goyani
Keyword(s):  
Face Recognition ◽  
Comprehensive Study

scholarly journals Resistance to Glycopeptide Antibiotics in the Teicoplanin Producer Is Mediated by van Gene Homologue Expression Directing the Synthesis of a Modified Cell Wall Peptidoglycan

2007 ◽  
Vol 51 (4) ◽  
pp. 1135-1141 ◽  
Author(s):  
Fabrizio Beltrametti ◽  
Arianna Consolandi ◽  
Lucia Carrano ◽  
Francesca Bagatin ◽  
Roberta Rossi ◽  
...  
Keyword(s):  
Cell Wall ◽  
Resistance Mechanism ◽  
Gene Clusters ◽  
Glycopeptide Antibiotics ◽  
Constitutive Analysis ◽  
High Concentrations ◽  
High Level ◽  
Gene Homologue ◽  
Level Resistance ◽  
Comprehensive Study

ABSTRACT Glycopeptide resistance has been studied in detail in enterococci and staphylococci. In these microorganisms, high-level resistance is achieved by replacing the C-terminal d-alanyl-d-alanine of the nascent peptidoglycan with d-alanyl-d-lactate or d-alanyl-d-serine, thus reducing the affinities of glycopeptides for cell wall targets. Reorganization of the cell wall is directed by the expression of the van gene clusters. The identification of van gene homologs in the genomes of several glycopeptide-producing actinomycetes suggests the involvement of a similar self-resistance mechanism to avoid suicide. This report describes a comprehensive study of self-resistance in Actinoplanes teichomyceticus ATCC 31121, the producer of the clinically relevant glycopeptide teicoplanin. A. teichomyceticus ATCC 31121 showed a MIC of teicoplanin of 25 μg/ml and a MIC of vancomycin of 90 μg/ml during vegetative growth. The vanH, vanA, and vanX genes of A. teichomyceticus were found to be organized in an operon whose transcription was constitutive. Analysis of the UDP-linked peptidoglycan precursors revealed the presence of UDP-glycomuramyl pentadepsipeptide terminating in d-alanyl-d-lactate. No trace of precursors ending in d-alanyl-d-alanine was detected. Thus, the van gene complex was transcribed and expressed in the genetic background of A. teichomyceticus and conferred resistance to vancomycin and teicoplanin through the modification of cell wall biosynthesis. During teicoplanin production (maximum productivity, 70 to 80 μg/ml), the MIC of teicoplanin remained in the range of 25 to 35 μg/ml. Teicoplanin-producing cells were found to be tolerant to high concentrations of exogenously added glycopeptides, which were not bactericidal even at 5,000 μg/ml.

scholarly journals Competences and Authority of the Corps of the Operative-Flash Action

2020 ◽  
Vol 9 (29) ◽  
pp. 156-162
Author(s):  
Volodymyr Hryhorovych Hrytsenko ◽  
Olesia Yanivna Tragniuk ◽  
Volodymyr Mykolaiovych Vasyliev ◽  
Lesia Ihorivna Myskiv
Keyword(s):  
Comparative Analysis ◽  
Law Enforcement ◽  
Public Security ◽  
Constitutional Rights ◽  
Law Enforcement Agencies ◽  
Special Unit ◽  
The Right ◽  
High Level ◽  
National Police ◽  
Comprehensive Study

The purpose of the article is a comprehensive study of the competences and authority of the Corps of the Operative-Flash Action (KORD), as a special body implementing public security and order. The authors used the following methods of scientific knowledge when writing the article: formal logical; comparative analysis; systemic structural; formal legal; logical and normative. A comprehensive study of the competence and powers of KORD has been conducted in the article. It has been determined that the authority of this unit of the National Police of Ukraine are represented by a set of rights and obligations, and the competence includes its powers. The competence of this unit includes both rights and obligations fixed at the legislative level, and professional knowledge that a policeman must have at a high level and correctly apply it in his official activities. It has been argued that the KORD is provided with competence in order to consolidate the scope of the rights and powers of a police officer, which allows regulating the prohibition of going beyond its borders at the legislative level. The analysis of the existing regulatory framework and existing studies related to the competence of law enforcement agencies has been conducted. Three groups of rights of the KORD have been distinguished: 1) rights that directly contribute to the performance of official duties; 2) rights that have an indirect effect on the performance of the special unit employees’ duties; 3) the right to exercise constitutional rights and freedoms.

scholarly journals Improving Net Banking Security with Face Recognition Based Bio-Metric Verification

2019 ◽  
pp. 82-91
Author(s):  
V. Manju ◽  
S. Madhumathi
Keyword(s):  
Face Recognition ◽  
Banking System ◽  
Internet Banking ◽  
Security Requirements ◽  
Security Breaches ◽  
And Performance ◽  
Social Environmental ◽  
Hand Geometry ◽  
High Level ◽  
Key Aspects

Internet banking services must be more responsive towards security requirements. Now a days with the network world, the way for cybercrime is become easier for hacking purpose. Because of this reason, network security has become one of the biggest concerns of today security environment. While there is no doubt that Internet banking transaction must have layered safety towards protection threats, the vendors should technique protection issues as part of their provider services. And heard a lot about hackers and crackers ways to steal any logical password or pincode number character, crimes of ID cards or credit cards fraud or security breaches. In existing work, Identification can be processed to a username and is used to authorize access to a system. As usernames can be lost or stolen, it is necessary to validate that the intended user is really the person he or she claims to be – the authentication process. Biometric based totally authentication and identification structures are the new answers to deal with the issues of safety and privacy. The Face Recognition is the examine of physical or behavioral traits of individual used for the identification of individual. These biometric characteristics of a person include the various features like fingerprints, face, hand geometry, voice, and iris biometric device. Here implement real time secure authentication system using face biometrics for authorized the person for online banking system. The general objective of our project is to develop fully functional face recognition, verification system provide and understand the key aspects of these major technologies, social environmental system and performance aspects. And also provide multiparty access system to allow the multiple persons to access the same accounts by providing access privileges to original account holders. Experimental results show that the proposed system provide high level security in online transaction system than the existing traditional cryptography approach

Streptomyces tsukubensis VKM Aс-2618D - an Effective Producer of Tacrolimus

2021 ◽  
Vol 37 (1) ◽  
pp. 26-36
Author(s):  
V.V. Fokina ◽  
S.V. Tarlachkov ◽  
A.V. Machulin ◽  
A.A. Shutov ◽  
M.V. Donova
Keyword(s):  
Phenotypic Variability ◽  
Biosynthetic Gene Cluster ◽  
Batch Cultivation ◽  
Fed Batch ◽  
Fk 506 ◽  
Cultivation Mode ◽  
High Level ◽  
Fed Batch Cultivation ◽  
Strain Genome ◽  
Comprehensive Study

The identification of the Streptomyces sp. VKM Ac-2618D strain had been carried out and its morphological and physiological features have been studied in relation to the immunosuppressant tacrolimus production. The phenotypic variability of the strain was analyzed and the dissociant with a high level of tacrolimus production was identified. Based on a comprehensive study of morphological, physiological and chemotaxonomic properties, as well as phylogenetic analysis, the strain was named Streptomyces tsukubensis VKM Ac-2618D. The strain genome contains the full version of the tacrolimus biosynthetic gene cluster. The advantages of fed-batch cultivation mode for tacrolimus biosynthesis were shown. The results obtained expand the understanding of the peculiarities of polyketide biosynthesis and can be used in the development of a tacrolimus production technology. Key words: Streptomyces tsukubensis, tacrolimus, FK-506, dissociant, genome, biosynthesis The research was carried out within the framework of the state assignment АААА-А16-116062110077-6.

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