scholarly journals Novel Noncommutative Cryptography Scheme Using Extra Special Group

2017 ◽  
Vol 2017 ◽  
pp. 1-21 ◽  
Author(s):  
Gautam Kumar ◽  
Hemraj Saini
Keyword(s):  
Sparse Matrices ◽  
Special Group ◽  
General Group ◽  
Safety Measures ◽  
Great Hope ◽  
Working Principle ◽  
Encryption Decryption ◽  
Equivalent Ring ◽  
High Level ◽  
Ring Elements

Noncommutative cryptography (NCC) is truly a fascinating area with great hope of advancing performance and security for high end applications. It provides a high level of safety measures. The basis of this group is established on the hidden subgroup or subfield problem (HSP). The major focus in this manuscript is to establish the cryptographic schemes on the extra special group (ESG). ESG is showing one of the most appropriate noncommutative platforms for the solution of an open problem. The working principle is based on the random polynomials chosen by the communicating parties to secure key exchange, encryption-decryption, and authentication schemes. This group supports Heisenberg, dihedral order, and quaternion group. Further, this is enhanced from the general group elements to equivalent ring elements, known by the monomials generations for the cryptographic schemes. In this regard, special or peculiar matrices show the potential advantages. The projected approach is exclusively based on the typical sparse matrices, and an analysis report is presented fulfilling the central cryptographic requirements. The order of this group is more challenging to assail like length based, automorphism, and brute-force attacks.

scholarly journals BGFE: A Deep Learning Model for ncRNA-Protein Interaction Predictions Based on Improved Sequence Information

2019 ◽  
Vol 20 (4) ◽  
pp. 978 ◽  
Author(s):  
Zhao-Hui Zhan ◽  
Li-Na Jia ◽  
Yong Zhou ◽  
Li-Ping Li ◽  
Hai-Cheng Yi
Keyword(s):  
Deep Learning ◽  
Protein Interactions ◽  
Prediction Accuracy ◽  
Sparse Matrices ◽  
Protein Sequences ◽  
Biological Research ◽  
Sequence Information ◽  
Feature Extraction Method ◽  
Cellular Processes ◽  
High Level

The interactions between ncRNAs and proteins are critical for regulating various cellular processes in organisms, such as gene expression regulations. However, due to limitations, including financial and material consumptions in recent experimental methods for predicting ncRNA and protein interactions, it is essential to propose an innovative and practical approach with convincing performance of prediction accuracy. In this study, based on the protein sequences from a biological perspective, we put forward an effective deep learning method, named BGFE, to predict ncRNA and protein interactions. Protein sequences are represented by bi-gram probability feature extraction method from Position Specific Scoring Matrix (PSSM), and for ncRNA sequences, k-mers sparse matrices are employed to represent them. Furthermore, to extract hidden high-level feature information, a stacked auto-encoder network is employed with the stacked ensemble integration strategy. We evaluate the performance of the proposed method by using three datasets and a five-fold cross-validation after classifying the features through the random forest classifier. The experimental results clearly demonstrate the effectiveness and the prediction accuracy of our approach. In general, the proposed method is helpful for ncRNA and protein interacting predictions and it provides some serviceable guidance in future biological research.

scholarly journals THE POTENTIAL OF SPODOPTERA PECTINICORNIS IN CONTROLLING WATER LETTUCE (Pistia stratiotes) IN FIELD

2017 ◽  
Vol 3 (1) ◽  
pp. 10-16
Author(s):  
Lyswiana Aphrodyanti ◽  
Helda Orbani Rosa ◽  
Samharinto Samharinto
Keyword(s):  
Biological Control ◽  
Biological Control Agent ◽  
Release Site ◽  
Control Agent ◽  
Pistia Stratiotes ◽  
Target Area ◽  
Water Lettuce ◽  
Great Hope ◽  
High Level ◽  
State Of The Environment

Spodoptera pectinicornis is a biological control agent that has a great potential to control water lettuce weeds. Its existence in nature however is still limited, so a mass propagation is needed by rearing S. pectinicornis imagoes to produce eggs and to hatch them into larvae of 4 days old. The 4-year larvae were then released by putting water lettuces that contained active larvae into the target area. Observation results on the percentage of damage in the watershed location for 5 times of observation consecutively was 25%, 50%, 50%, 75% and 90%. The magnitude of damage showed that S. pectinicornis was able to adapt well, so it could perform eating activities and cause damage to the water lettuces. Meanwhile, at the release site of rice field, the percentage of damage was 0%, 25%, 35%, 25% and 10%. The downward trend in the level of S. pectinicornis attacks was due to its inability to keep pace with the growth and development of water lettuces. High level of rainfall caused the water lettuces to increase its size and the number of its tillers so that they could colonize these waters. The fact that S. pectinicornis still has the ability to destroy the water lettuces gives great hope to the control efforts. However, thorough evaluation and assessment are required on all aspects, such as the biological control agents, weed targets, organisms associated with them, and the state of the environment so as to minimize the possibility of failure in the field.

scholarly journals Student-Designed Cross-Sectional Pandemic Knowledge Survey of 8th−12th Grade Students, Milwaukee, WI, April 2020

2021 ◽  
Vol 9 ◽  
Author(s):  
Krish Vasudev ◽  
Hersh Singh ◽  
August A. Neumann ◽  
William M Zhao ◽  
Lyle Dominic Pelayo Mondano
Keyword(s):  
The Novel ◽  
Cross Sectional ◽  
Safety Measures ◽  
Web Based ◽  
12Th Grade ◽  
Twelfth Grade ◽  
Level Of Understanding ◽  
Novel Coronavirus ◽  
High Level ◽  
Knowledge Survey

Background: The novel coronavirus and its effect on our society are unprecedented. Given the recent pandemic, numerous measures have been taken to protect our communities. We sought to understand our school community's knowledge and the measures that were taken by our school for our safety.Objective: Our objective was to describe the overall understanding and attitudes of 8–12th grade students from a single institution during the initial phase of the Wisconsin's Governor's stay-at-home order.Methods: A voluntary web-based survey was communicated to 8–12th grade students through their online school portal. Data were collected and analyzed using SurveyMonkey.Results: There was a 20.2% response rate. Answers regarding the coronavirus, spread, and response to the coronavirus pandemic showed a high level of understanding of the virus and the actions necessary to prevent its spread.Conclusion: Eight-twelfth grade students have a high level of understanding of the virus, its effects, and the safety measures implemented to protect society.

scholarly journals Gender differences of alexithymia level in students with non-psychotic psychic disorders

2019 ◽  
Keyword(s):  
Somatoform Disorders ◽  
Social Adaptation ◽  
Individual Development ◽  
Physical Factors ◽  
General Group ◽  
Gender And Age ◽  
Psychic Disorders ◽  
High Level ◽  
Gender Aspect ◽  
Made In

Topicality. Importance of contemporary researches associated with alexithymia at young age is determined by the necessity to change curricula and look for new forms of psychological support directed to social adaptation and harmonious individual development of students. Objective: to examine alexithymia level in students with non-psychotic psychic disorders depending on gender and diagnosis. Materials and methods. During 2015-2017 keeping to the principles of bioethics and deontology a comprehensive examination of 1235 students was conducted. The following methods were applied: clinical, clinical-psychopathological, clinical-epidemiological, clinical-anamnestic, experimental-psychological and statistical. The sample had no significant differences in gender and age composition, place of residence, form of study. The survey was conducted in the intersession period. Alexithymic levels were determined using the Toronto Alexithymic Scale (TAS-26) of G. Taylor. Results. The study conducted has given the following results. Primary examination of a general group found a high level of alexithymia in 204 (16,52%) students, after repeated examination this number was 176 (14,52%) (t=0,61). Analysis of a gender aspect of alexithymia in general sampling found that a high level of alexithymia was mostly peculiar for men – 65 (17,81%) as compared with 139 (15,98%) women. Occurrence of a high level of alexithymia was analyzed among the students with non-psychotic psychic disorders. The patients with neurotic disorders associated with stress and somatoform disorders were found to be the most prone to alexithymia manifestation (F 40.0-48.1) – 55,12%. Those with behavioral syndromes associated with physiological disorders and physical factors were found to be least susceptible (F 50.0-51.4) – 7,87%. Conclusions. Considering a considerable value of alexithymia in the formation of non-psychotic psychic disorders screening is recommended to be made in order to find clinically important levels of alexithymia for young people in the course of planned medical check-ups.

scholarly journals EDITORIAL: Moving online and keeping a distance: Danish reaction to challenges when working in pharmacies or training to be a pharmaconomist during COVID-19

2021 ◽  
pp. 102-105
Author(s):  
Christina Durinck ◽  
Elsebeth Hagen
Keyword(s):  
Bachelor's Degree ◽  
Community Pharmacies ◽  
Safety Measures ◽  
The Public ◽  
Pharmacy Technician ◽  
School Activities ◽  
Educational Challenges ◽  
Red Tape ◽  
Flexible Planning ◽  
High Level

This article describes the workforce and educational challenges faced by pharmaconomists in Denmark as a consequence of the first wave of the COVID-19 pandemic. In Danish pharmacies, pharmaconomists make up the majority of the staff. They hold a higher level of qualification than the general European pharmacy technician, more comparable to that of a Bachelor’s degree. In the community pharmacies, pharmaconomists worked long hours and faced new questions and a change in behaviour by the public due to the pandemic. An emergency agreement between The Danish Association of Pharmaconomists and the Association of Danish Pharmacies made flexible planning possible, and guidelines with recommendations meant that most community pharmacies ended up introducing safety measures. In hospitals, pharmaconomists were directly engaged in deciding which kinds of medicine to stock up on to help the COVID-19 patients as they were admitted to hospital. A high level of cooperation and the slashing of red tape made things run relatively smooth. The training of pharmaconomist students went online in spring of 2020, as did exams. It required planning, as did the return to physical school activities as well as CPE in the autumn of 2020.

Design of Marine Radar Signal Generator

2013 ◽  
Vol 756-759 ◽  
pp. 1446-1449
Author(s):  
Xue Juan Tong ◽  
Jin Lei Pang ◽  
Feng Qi Fu ◽  
Yi Lin Yuan
Keyword(s):  
Radar System ◽  
Signal Generator ◽  
Radar Signal ◽  
Working Principle ◽  
Marine Radar ◽  
Radar Simulator ◽  
High Level

Radar signal generator in the high-level radar simulator equipped with true radar dsiplay can serve training and eduaction better. For this purpose, this paper analyzes real radar system, summarizes the working principle of radar signal generator, and brings forward a realization project which based on MCU.In conclusion, all signals generated by the radar signal generator meet the required by the preliminary debugging.

scholarly journals A Comparative Evaluation of Algorithms in the Implementation of an Ultra-Secure Router-to-Router Key Exchange System

2017 ◽  
Vol 2017 ◽  
pp. 1-7 ◽  
Author(s):  
Nishaal J. Parmar ◽  
Pramode K. Verma
Keyword(s):  
Comparative Evaluation ◽  
Discrete Logarithm ◽  
Key Generation ◽  
Storage Space ◽  
Original Proposal ◽  
Encryption Algorithms ◽  
Encryption Decryption ◽  
Key Length ◽  
High Level ◽  
And Storage

This paper presents a comparative evaluation of possible encryption algorithms for use in a self-contained, ultra-secure router-to-router communication system, first proposed by El Rifai and Verma. The original proposal utilizes a discrete logarithm-based encryption solution, which will be compared in this paper to RSA, AES, and ECC encryption algorithms. RSA certificates are widely used within the industry but require a trusted key generation and distribution architecture. AES and ECC provide advantages in key length, processing requirements, and storage space, also maintaining an arbitrarily high level of security. This paper modifies each of the four algorithms for use within the self-contained router-to-router environment system and then compares them in terms of features offered, storage space and data transmission needed, encryption/decryption efficiency, and key generation requirements.

System analysis: the kemeny’s median as an optimization model of the preferences group system of air traffic controllers of the danger of the characteristic errors

2020 ◽  
pp. 55-64 ◽  
Author(s):  
O. M. Reva ◽  
V. V. Kamyshуn ◽  
V. A. Shulgin ◽  
A. V. Nevynitsyn
Keyword(s):  
Decision Making ◽  
Human Factor ◽  
System Analysis ◽  
Individual Preference ◽  
Rank Correlation ◽  
Air Traffic ◽  
General Group ◽  
Air Traffic Controllers ◽  
Preference System ◽  
High Level

The systems of advantages of aviation operators of the “front line” on the indicators and characteristics of their professional activities is one of the indicators demonstrating the influence of the human factor on decision-making, and, consequently, on the “attitude towards dangerous actions or conditions”, which, in its turn, is one of the components of the current ICAO safety paradigm. The preference system is understood as an ordered series of the specified indicators and characteristics from the most dangerous to the least dangerous, including errors that can be made by air traffic controllers. Group systems of advantages have a number of properties (peculiarities of the prevailing in a particular society — control shift — opinions on the perception of threats and hazards, the influence of the attitude of instructor personnel to threats and dangers and the technology to overcome them, statistics of aviation accidents and serious incidents in the area of responsibility, etc.) that are desirable to take into account in the safety management process and that are found by aggregating individual systems of benefits. This aggregation occurs using strategies for making group decisions, from which one should point to the strategy of summing and averaging ranks, which is riskier, but allows establishing the degree of consistency of opinions using the Kendall concordance coefficient. An important strategy is based on the classical Savage decision-making criteria, which has an optimization content and allows minimizing deviations in opinions regarding the dangers of mistakes of both the majority and the minority of the group members. The Kemeny’s median has a pronounced nonparametric optimization content, but it is almost never used in studies of the influence of the human factor on decision making in aviation systems. Individual systems of preferences of m=37 air traffic controllers on the spectrum of n=21 characteristic errors were constructed by them using the usual method of pairwise comparisons and normative establishment of a part of the total hazard. The use of the technology for detecting and filtering out marginal thoughts — individual systems of advantages, which significantly differ from the general group, made it possible to distinguish a subgroup mA=26 with a high level of intragroup consistency of opinions: the coefficient of concordance is W=0.7144 and is statistically significant at a high level of significance a=1%. Individual preference systems of members of the mА subgroup were used to implement the heuristic algorithm and construct the desired Kemeny’s median, which improves the consistent preference system and has an unusually high coincidence with the group advantage systems obtained using other group decision strategies: the average value of Spearman’s rank correlation coefficient in 7 times increased its minimum acceptable value.

scholarly journals Automatic Identification of Local Features Representing Image Content with the Use of Convolutional Neural Networks

2020 ◽  
Vol 10 (15) ◽  
pp. 5186
Author(s):  
Paweł Tarasiuk ◽  
Arkadiusz Tomczyk ◽  
Bartłomiej Stasiak
Keyword(s):  
Neural Networks ◽  
Convolutional Neural Networks ◽  
Sparse Matrices ◽  
Local Features ◽  
Automatic Identification ◽  
Image Content ◽  
Data Set ◽  
Practical Applications ◽  
A Value ◽  
Working Principle

Image analysis has many practical applications and proper representation of image content is its crucial element. In this work, a novel type of representation is proposed where an image is reduced to a set of highly sparse matrices. Equivalently, it can be viewed as a set of local features of different types, as precise coordinates of detected keypoints are given. Additionally, every keypoint has a value expressing feature intensity at a given location. These features are extracted from a dedicated convolutional neural network autoencoder. This kind of representation has many advantages. First of all, local features are not manually designed but are automatically trained for a given class of images. Second, as they are trained in a network that restores its input on the output, they may be expected to minimize information loss. Consequently, they can be used to solve similar tasks replacing original images; such an ability was illustrated with image classification task. Third, the generated features, although automatically synthesized, are relatively easy to interpret. Taking a decoder part of our network, one can easily generate a visual building block connected with a specific feature. As the proposed method is entirely new, a detailed analysis of its properties for a relatively simple data set was conducted and is described in this work. Moreover, to present the quality of trained features, it is compared with results of convolutional neural networks having a similar working principle (sparse coding).

scholarly journals Awareness and practice of road safety measures among undergraduate medical students of Al Baha University, KSA

2018 ◽  
Vol 5 (10) ◽  
pp. 4183
Author(s):  
Yasir B. Elshambaty ◽  
Ibrahim A. El Jack ◽  
Saud A. Al Zahrani ◽  
Mohammad O. Al Ghamdi ◽  
Abdulrazag O. Shaker ◽  
...  
Keyword(s):  
Medical Students ◽  
Road Safety ◽  
Road Traffic ◽  
Seat Belt ◽  
Undergraduate Medical Students ◽  
Cross Sectional ◽  
Safety Measures ◽  
Mobile Phone Use ◽  
Driving License ◽  
High Level

Background: The aim of this study was to assess the level of awareness and practice of road safety measures by medical students of Al Baha University, Saudi Arabia.Methods: The study was descriptive, cross-sectional, students-based conducted among the students of faculty of medicine, ALBaha University, between 1st to 15th May 2017.Results: A total of (n=125) students were enrolled and the vast majority (98.4%) of them aged 18-25 years. All of them are male. Around (97.6%) and (96%) of the participants have car and driving license, respectively. The majority (93.6%) of the participants were aware of road traffic regulations. The major (60%) did not receive driving training. Majority of students involved in RTA regardless the Mobile phone use during driving and driving speed. Approximately (70%) of the participants violated the traffic regulations in more than two occasions in the last year, whilst less than one third of the students use the seat belt and small percent do not use the mobile while they are driving. Around (76%) were previously involved in RTA.Conclusions: The RTAs rate was high among our students regardless their high level of awareness of traffic regulations. Studying medicine had little effect on car driving behaviour. Medical students of Al Baha University had more cars compared to their medical counterparts in the nearby regions, thus the accidents rate was found high. RTAs was multifactorial in our population. Restriction to give the driving license by the authorities is highly recommended. 

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