Data Recorder Analysis Research Articles

A Comparative result-based study on Criminal Call Data Record Analysis

All calls that travel through a phone exchange are recorded in detail in call detail records or CDRs. The telephone exchange maintains this CDR, which includes the time of the call, the length of the call, the source and destination numbers, the type of the call, etc. Call data logs are crucial for handling serious criminal cases. Processing of Call Detail Records is now moving towards real-time streaming data. It assists in real-time call detail record analysis, real-time criminal location tracking, and real-time network behaviour analysis. However, the number, diversity, and data rate of these Call Detail Records are enormous, and the current telecom systems were not developed with these challenges in mind. The largest source, which can be viewed as Call Detail Records, can be used (for storage, processing, and analysis). The issues that the telecom sector has with call detail records analysis are the subject of extensive research. In this paper we demonstrate how to use Excel, data mining & graph mining to analyse call detail records of criminal case.

A Privacy-Preserved Internet-of-Medical-Things Scheme for Eradication and Control of Dengue Using UAV.

Dengue is a mosquito-borne viral infection, found in tropical and sub-tropical climates worldwide, mostly in urban and semi-urban areas. Countries like Pakistan receive heavy rains annually resulting in floods in urban cities due to poor drainage systems. Currently, different cities of Pakistan are at high risk of dengue outbreaks, as multiple dengue cases have been reported due to poor flood control and drainage systems. After heavy rain in urban areas, mosquitoes are provided with a favorable environment for their breeding and transmission through stagnant water due to poor maintenance of the drainage system. The history of the dengue virus in Pakistan shows that there is a closed relationship between dengue outbreaks and a rainfall. There is no specific treatment for dengue; however, the outbreak can be controlled through internet of medical things (IoMT). In this paper, we propose a novel privacy-preserved IoMT model to control dengue virus outbreaks by tracking dengue virus-infected patients based on bedding location extracted using call data record analysis (CDRA). Once the bedding location of the patient is identified, then the actual infected spot can be easily located by using geographic information system mapping. Once the targeted spots are identified, then it is very easy to eliminate the dengue by spraying the affected areas with the help of unmanned aerial vehicles (UAVs). The proposed model identifies the targeted spots up to 100%, based on the bedding location of the patient using CDRA.

RETRACTED ARTICLE: Design and Implementation of Track and Field Training Information Collection and Feedback System Based on Multi-sensor Information Fusion

Track and field sports are known as the "mother of sports". Whether in the field of athletics, fitness, or education, modern track and field sports have developed rapidly. The field of athletics has reached the point where it challenges the limits of humans. The development of China is inseparable from the support of science and technology, and it is inseparable from human scientific research on track and field sports. In order to improve the scientific level of track and field training methods and develop our country's sports industry, this paper designs a track and field training information collection and feedback system based on multi-sensor information fusion. In the method part, this article briefly introduces the content of track and field sports, the mode of multi-sensor information fusion and the existing sports information collection system, using weight coefficient fusion method, D-S evidence theory algorithm and Kalman filter algorithm. This paper designs an information collection and feedback system based on multi-sensor information fusion, and conducts demand analysis, comparative analysis, and data record analysis on this system. By designing the experimental group and the control group, it can be seen that the average performance of the two groups of athletes in the 50-meter run in 8 weeks has improved, and the data of the experimental group and the control group show significant differences. After the experiment, the average performance of the male athletes in the control group increased from around 8.32 to around 8.12, an increase of 4.7%. The performance of male athletes in the experimental group increased from 8.37 to 7.92, an increase of 5.6%. It can also be known that before the experiment, the average performance of the athletes in the selected control group was due to the experimental group, but after 8 weeks of experiment, the increase in the experimental group was higher than that of the control group. This shows that the data collection and feedback system using multi-sensor information fusion can be more accurately and differentiatedly applied to track and field training, and can find problems in athletes, so as to prescribe the right medicine.

A Privacy-Preserved and Cost-Efficient Control Scheme for Coronavirus Outbreak Using Call Data Record and Contact Tracing

Coronavirus or COVID-19, which has been declared pandemic by the World Health Organization, has incurred huge losses to the lives of people throughout the world. Although the scientists, researchers, and doctors are working round the clock to develop a vaccine for COVID-19, it may take a year or two to make a safe and effective vaccine available for the world. In current circumstances, a solution must be developed to control or stop the spread of the virus. For this purpose, a novel technique based on call data record analysis (CDRA) and contact tracing is proposed, which can effectively control the coronavirus outbreak. A positive coronavirus patient can be traced through CDRA and contact tracing. The technique can track the path traversed by the patient and collect the cell numbers of all those people who have met with the patient. Keeping intact the privacy of this group of people, when a test result of a person comes positive among the group, then he/she must be isolated and same CDRA and contact tracing procedures are adopted for that person. A COVID-19 patient is geotagged and alerts are sent if any violation of isolation is done by the patient. Moreover, the general public is informed in advance to avoid the path followed by the patients. This privacy-preserved and cost-effective mechanism is not only capable to control the coronavirus outbreak but also helps in isolating the patient in his/her house.

Application of Monitoring System Based on Green Environmental Protection Cable Pipe Protector

In view of the current status of the monitoring system for cable conduit protectors, the green environmental protection and the monitoring system for cable conduit protectors are closely combined to explore the construction of an omnidirectional, multi-level and wide-coverage intelligent cable conduit protector monitoring system to coordinate the advantages of advanced scientific research, technology, instruments and equipment. Based on the research background, the paper briefly introduces the high-temperature superconducting cable monitoring and protection system, and systematically explains the overall function of this research software, frame structure design, communication implementation method, various data record analysis and fixed value research.

Risk of chipping or facings failure of metal ceramic fixed partial prostheses—a retrospective data record analysis

This retrospective study investigated the frequency and time history of chipping or facings failure of three-unit and four-unit tooth-supported metal ceramic (MC) fixed partial prostheses (FPDs). Six hundred fifty-four MC FPDs were inserted according to a standardized treatment protocol at the Department of Prosthodontics of the Regensburg University Medical Center between 1984 and 2009. Frequency and time history of chipping or facings failure as well as possible risk factors were evaluated on the basis of historical clinical data. We estimated the survival times of FPDs by means of the Kaplan-Meier analysis. The 5-year survival rate (time to renewal of a FPD) of all MC FPDs was 94%; the 10-year survival rate was 87%. Twenty-eight (4.3%) MC FPDs showed chipping; the 5-year free-of-event rate of chipping was 95%, the 10-year rate was 94%. Possible risk factors had no statistically significant influence on chipping or facings failure. The annual hazard rate of MC chipping in the first year was 0.03, i.e., 3 out of 100 person-years of exposure showed chipping. The annual hazard rates for the next 6years dropped to 0.009, 0.003, 0.007, 0.004, 0.005, and 0.007. Thus, about 3-9 out of 1,000 person-years of exposure showed chipping. Patients with MC FPD may expect a long survival rate of their restoration. During the first year, the risk of chipping may be higher than during the following years. Despite the long period of experience with MC FPDs, chipping of the facing will still occur.

Monte Carlo Assessment of Sampling Uncertainty of Climate Change Impacts on Water Resources Yield in Yorkshire, England

Despite much effort over the last decade, there still remain many uncertainties in the assessed impacts of climate change on water resources. This study has carried out Monte Carlo Simulations to characterise the sampling uncertainties in assessed water resources impacts. The investigation employed data from catchments in northeast England, which incorporate water supply reservoirs. The impacts assessment used scenarios from three GCM experiments: (i) the Canadian first generation coupled model (CGCM1), (ii) the Australian first generation coupled model (CSIRO-mk2b) and (iii) the British third generation model (HadCM3). The results showed that yield impacts are subject to wide variability, irrespective of the GCM experiment, which calls for caution when using mean impacts obtained from single data record analysis for decision making.