Computer Simulation of Ideological and Political Teaching under Big Data of Complexity

This study is to discuss the application of computer simulation technology (CST) in ideological and political teaching (I&P teaching) and promote the reform of ideological and political teaching in the era of big data. In this study, a set of computer simulation system for I&P teaching is constructed, and targeted research is launched from this. The main research results are as follows: Firstly, a computer simulation system for ideological and political teaching is designed based on the Apriori algorithm and other theoretical foundations. The system includes a user layer, a business layer, and a data layer. The main modules of the system include the website (WEB) server, Mail server, and user terminal. Secondly, the system is tested accordingly. The performance test and function test results reveal that when the maximum number of concurrent users is 500, the system can run normally with the maximum response time of 6.6 s and the good condition of various functions, so it can meet the actual needs of universities. Finally, in comparison with the conventional I&P courses, the proposed system can effectively improve the attitudes towards I&P courses of students, increase their satisfaction and acceptance of I&P teaching, and contribute to the mastery of knowledge. Therefore, the designed system can realize a good actual teaching effect and show reliable application value. In addition, the results of this study can provide scientific and effective reference materials for subsequent research on I&P teaching.

Horizontal Scaling for Containerized Application Using Hybrid Approach

Cloud computing is a paradigm to provide services to end-users through the Internet. The availability of services to end-users is dependent on various factors such as the availability of computing resources as well as the number of users to access those services. To manage the real-time fluctuating workload cloud providers use elasticity mechanisms. Elasticity is one of the important characteristics of cloud computing that dynamically allocates computing resources to manage the fluctuating workload. The failure of allocation/de-allocation of computing resources at the right moment leads to SLA violation, degradation of services performance, maximum power consumption, minimum throughput, and maximum response time. To address these challenges, we have proposed a hybrid approach to perform horizontal elasticity. The proposed approach uses both reactive and proactive approaches for provisioning/de-provisioning of computing resources. The simulation results of the proposed model show that performance of system has improved in terms of CPU utilization, response time, and throughput.

Evaluation of the Use of Class B LoRaWAN for the Coordination of Distributed Interface Protection Systems in Smart Grids

The adoption of the distributed generation paradigm is introducing several changes in the design and operation of modern distribution networks. Modern grid codes are becoming more and more complex, and the adoption of smart protection systems is becoming mandatory. However, the adoption of newer and smarter units is only half of the story. Proper communication networks must be provided as well, and the overall costs may become critical. In this work, the adoption of the Long-Range Wide Area Network (LoRaWAN) technology is suggested as a viable approach to implement the coordination of Interface Protection Systems. A proper communication architecture based on the LoRaWAN Class B technology was proposed and evaluated in order to assess its feasibility for the considered application. A scalability analysis was carried out, by computing the number of devices that can be handled by a single LoRaWAN Gateway (GW) and the maximum expected time of response between a triggering event and the arrival of the related coordination command. The results of the study showed that up to 312 devices can be managed by a single GW, by assuring a maximum response time of 22.95 s. A faster maximum response time of 6.2 s is also possible by reducing the number of managed devices to 12.

Rancang Bangun alat pembuka pintu portal berbasis arduino menggunakan smartphone

This study aims to design a prototype Arduino-based portal door controller system device using a smartphone. The making of the tool is done as one of the efforts in advancing technology to provide convenience and comfort through the development of an automated system in the home in the form of automatic portal doors using smartphones. The components used for system design are Arduino REV3 microcontroller module, USB 2.0 type A / B cable (Arduino USB cable), SG90 9g servo motor, red and green LEDs, 220Ω resistor, mini protoboard, connecting cable, jumper cable, and bluetooth module HC06, Powerbank with a capacity of 5600 mAh and a smartphone, while designing software uses Arduino IDE. Based on the results of measurements and testing, the system on the device made is able to open and close the portal door automatically at a maximum distance of 15 meters with a maximum response time of 1 second in open space

RESILIENCE AS AN INTEGRAL CHARACTERISTIC OF PERSONALITY AMONG CADETS OF EMERCOM OF RUSSIA

Relevance. Resilience as an integrative resource of an individual, determining its psychological stability was studied among cadets of the Emercom of Russia to develop a psycho correctional program and increase the effectiveness of vocational training and health maintenance.Intention. To develop a model of resilience based on the identification of associated personality manifestations among the cadets of EMERCOM of Russia.Methodology. The study was conducted on the basis of the Far Eastern Fire and Rescue Academy a branch of the St. Petersburg University State Emergency Service Ministry of Emergency Situations among 150 cadets of the faculty of fire safety aged 19–21 years. Psychodiagnostic methods were used as well as psychophysiological rehabilitation complex “REACOR” for biofeedback training and UPFT 1/30 “Psychophysiologist”.Results and their analysis. Parameters of life meaningfulness increase proportionally to resilience. The analysis of terminal values showed that cadets with low resilience sought freedom, financially secure life, pleasures, while cadets with high resilience opted for development, continuous physical and spiritual self improvement. Indicators of internal motivation according to K. Zamfir test were lower in cadets with low and medium resilience vs high resilience. External negative motivation in the group with lower resilience, on the contrary, was higher due to avoidance prevailing over external positive motivation. Adaptation to new or changing conditions is quite complicated for cadets with low resilience and can be disturbed depending on external circumstances. Low resilience was associated with pedantic, anxious, cyclothymic, excitable and dysthymic personality accentuations, medium resilience was associated with cyclothymic and demonstrative accentuations, and high – with hyperthymic and demonstrative accentuations. Cadets with low and medium resilience commonly used confrontational coping strategy. Cadets with low resilience showed increase in flight – avoidance strategies in contrast to those with medium and high resilience (p < 0.05). Low resilience indicates a decrease in tension, the predominance of parasympathetic activity, pronounced inertness and passivity when performing tactical and technical actions. Cadets with high resilience demonstrated improved attention . Average and maximum response time was shorter in cadets with high resilience compared to those with low and medium resilience (p < 0.01), which indicates an increased concentration, activity, and speed. Greater response time in cadets with low resilience probably indicates their passivity and inertness when completing tasks (p < 0.01). After the heat chamber, average and maximum visual motor response time was longer in the group with low and medium resilience (p < 0.05). The structure of resilience includes biological (psychophysiological), social and psychological components. The predictors of resilience are the meaningfulness of life, such coping behaviors as self control, acceptance of responsibility, flight avoidance; personal adaptive potential and its components behavioral regulation and communicative potential; rigid and emotive accentuations; external negative motivation; psychophysiological indicators – vagosympathetic balance (LF / HF), average reaction time.Conclusion. An experimental study of the psychological factors of reactions to professional stressors among cadets made it possible to draw up a scheme of resilience as an integral characteristic of a personality, and to reveal its components.

Medicine authentication technology: a quantitative study of incorrect quarantine, average response times and offline issues in a hospital setting

ObjectivesTo introduce serialised medicines into an operational hospital dispensary and assess the technical effectiveness of digital medicine authentication (MA) technology under European Union Falsified Medicines Directive (EU FMD) conditions.DesignThirty medicine lines were serialised using 2D data matrix labels and introduced into an operational UK National Health Service (NHS) hospital dispensary. Staff were asked to check medicines for two-dimensional (2D) data matrices and scan those products, in addition to their usual medicine preparation and checking processes. Four per cent of the study medicines were labelled with a 2D barcode which generated a pop-up, identifying the medicine as either authenticated elsewhere (falsified), authenticated here, expired or recalled.SettingAn NHS teaching hospital based in the UK, the same site as the Naughtonet al2016 study.ParticipantsGeneral Pharmaceutical Council registered, accredited accuracy checking technicians and pharmacists.Primary outcome measuresAverage response times, offline issues, instances of incorrect quarantine and workarounds. The EU FMD maximum response time is 300 milliseconds (ms).ResultsDuring the checking stage of medicine preparation, the average response time for MA in this study was 131 ms. However, 4.67% of attempted authentications experienced offline issues, an increase of 4.23% from the previous study. An increase in offline instances existed alongside an increase in incorrect quarantine.ConclusionsDigital drug screening has the capability of operating with average response times which are below the maximum EU FMD limit of 300 ms. However, there was an increased incidence of offline errors and cases of incorrect quarantine. The practical and legal implications of supplying a substandard or falsified medicine during offline periods without prior authentication or withholding supply until online status resumes are not yet fully understood.

A technological platform for the creation and evaluation of psycho-technical tests

This paper proposes the development of a technological platform for support of psycho-technical tests in higher education institutions. This subject deals with a topic extremely important for the institution and for students, because the platform will serve internally to assist students in preparing them for the professional life. The application is web hosted and exclusively built using open source technologies. The application allows teachers to create new psycho-technical tests in various technical and scientific fields. Each psycho-technical test is composed of several multiple-choice questions, and the teacher may specify the list of alternative answers and indicate a maximum response time for each question. For its part, the students can visualise the list of psycho-technical tests available organised by subject. The platform registers the performance of students in several domains and allows students to practice and improve their skills. In this way, students may be better prepared for job interviews and, consequently, for the job market. Keywords: Psycho-technical tests, web applications, software engineering, student evaluations, information technology.

OLTP PERFORMANCE IMPROVEMENT USING FILE-SYSTEMS LAYER COMPRESSION

Database for Online Transaction Processing (OLTP) application is used by almost every corporations that has adopted computerisation to support their operational day to day business. Compression in the storage or file-systems layer has not been widely adopted for OLTP database because of the concern that it might decrease database performance. OLTP compression in the database layer is available commercially but it has a significant licence cost that reduces the cost saving of compression. In this research, transparent file-system compression with LZ4, LZJB and ZLE algorithm have been tested to improve performance of OLTP application. Using Swing-bench as the benchmark tool and Oracle database 12c, The result indicated that on OLTP workload, LZJB was the most optimal compression algorithm with performance improvement up to 49% and consistent reduction of maximum response time and CPU utilisation overhead, while LZ4 was the compression with the highest compression ratio and ZLE was the compression with the lowest CPU utilisation overhead. In terms of compression ratio, LZ4 can deliver the highest compression ratio which is 5.32, followed by LZJB, 4.92; and ZLE, 1.76. Furthermore, it is found that there is indeed a risk of reduced performance and/or an increase of maximum response time.

Optimal allocation of emergency response services for managing disasters

Purpose – The purpose of this paper is to present and apply a methodology that optimally assigns emergency response services (ERS) stations in Peloponnesus, Greece that was severely hit by wildfires in 2007, in an effort to describe the actual emergency response in this disaster and identify disaster management possibilities that can arise from the optimal allocation of the existing fire stations. Design/methodology/approach – The methodology concerns the development of an objective function that aims to minimize maximum and average response times of ERS stations and the evaluation of developed scenarios. Simulated annealing is used for the minimization of the objective function, providing near-optimal solutions with low computation times for medium-scale networks. Findings – The findings concern the comparison of average and maximum response times of ERS stations to hearths of fire, based on their actual and optimal allocation. They reveal an overall reduction in the average and maximum response time by 20 and 30 percent, respectively, for the entire region, while there is a reduction of 15 and 35 percent in the average and maximum response time for the locations affected by the 2007 wildfires. Research limitations/implications – The methodology is formulated as a facility location problem with unitary demand and unlimited capacity in the stations, which means that the allocation does not take into account simultaneous events. Originality/value – The paper fulfills an identified need to apply innovative research solutions to actual case studies in order to identify existing gaps and future disaster management possibilities.