• The Journal of the Convergence on Culture Technology
• /
• v.7 no.3
• /
• pp.35-41
• /
• 2021

The purpose is a qualitative study on the search for career paths of nursing students after visiting the National Institute of Science and Investigation. Participants in this study were 13 people who participated in the National Institute of Science and Investigation visit program during a club event for 3rd graders at a university in M city, Gyeongsangbuk-do. Data collection was made through a self-report within 48 hours of visiting the National Institute of Science and Investigation. The collected data were analyzed using Krippendorff's phenomenological method. As a result of analyzing the experiences of nursing students' visits to the National Institute of Forensic Science, 3 categories, 6 themes, and 20 meaningful statements were identified. The three categories were derived from "Beyond the boundaries of the nursing profession," "The difference between drama and reality", and "Challenge in a new field". As a result of this study, it was confirmed that the experience of visiting the National Institute of Forensic Science provided an understanding of forensic nurses and had opportunities for various social participation attitudes as nurses. In addition, it is expected to be used as basic data useful for career guidance and student counseling in the future, and it is expected to be used as basic data for educational demand structure and educational development for forensic nurses.

• Communications for Statistical Applications and Methods
• /
• v.31 no.3
• /
• pp.279-289
• /
• 2024

Familial searching is a useful technique in a forensic investigation. Using genetic information, it is possible to identify individuals, determine familial relationships, and obtain racial/ethnic information. The total number of shared alleles (TNSA) and likelihood ratio (LR) methods have traditionally been used, and novel data-mining classification methods have recently been applied here as well. However, it is difficult to apply these methods to identify familial relationships above the third degree (e.g., uncle-nephew and first cousins). Therefore, we propose to apply a stacking ensemble machine learning algorithm to improve the accuracy of familial relationship identification. Using real data analysis, we obtain superior relationship identification results when applying meta-classifiers with a stacking algorithm rather than applying traditional TNSA or LR methods and data mining techniques.

• Korean Journal of Adult Nursing
• /
• v.24 no.5
• /
• pp.499-508
• /
• 2012

Purpose: The purpose of this survey was to investigate emergency department nurses' recognition of forensics nursing and their educational needs for forensics nursing education. Methods: Data were collected via questionnaires from 167 emergency department nurses who were working in 7 university hospitals. Nurses' experiences of trauma or accidents and their recognition of and educational needs for forensic nursing education were assessed. Results: All subjects reported having suffered bodily injury due to falling or serious traffic accidents; 92.2% reported having suffered bodily injury caused by suicide attempts; 91.6% reported having experienced physical violence or abuse; 76.0% reported having experienced sexual assault or abuse; 68.9% reported having experienced some difficulties during their nursing care due to lack of forensics knowledge; and 88.6% reported never having been trained in forensics nursing. The educational needs score for "forensics nursing" was 3.61; the needs score for "abuse- and violence-related education" was 3.65; the needs score for "incident data collection related education" was 3.47; and the needs score for "forensics theory related education" was 3.34. Conclusion: The findings of the study underscore a strong need to develop an educational program on forensics nursing for emergency department nurses.

• Journal of the Korea Institute of Information Security & Cryptology
• /
• v.24 no.3
• /
• pp.523-533
• /
• 2014

It has been spent too much time to figure out the incident route when we are facing computer security incident. The incident often recurs moreover the damage is expanded because critical clues are lost while we are wasting time with hesitation. This paper suggests to build a Digital Evidence Map (DEM) in order to find out the incident cause speedy and accurately. The DEM is consist of the log chain which is a mesh relationship between machine data. And the DEM should be managed constantly because the log chain is vulnerable to various external facts. It could help handle the incident quickly and cost-effectively by acquainting it before incident. Thus we can prevent recurrence of incident by removing the root cause of it. Since the DEM has adopted artifacts in data as well as log, we could make effective response to APT attack and Anti-Forensic.

• Imaging Science in Dentistry
• /
• v.51 no.3
• /
• pp.279-290
• /
• 2021

Purpose: Using images in the facial image comparison process poses a challenge for forensic experts due to limitations such as the presence of facial expressions. The aims of this study were to analyze how morphometric changes in the face during a spontaneous smile influence the facial image comparison process and to evaluate the reproducibility of measurements obtained by digital stereophotogrammetry in these situations. Materials and Methods: Three examiners used digital stereophotogrammetry to obtain 3-dimensional images of the faces of 10 female participants(aged between 23 and 45 years). Photographs of the participants' faces were captured with their faces at rest (group 1) and with a spontaneous smile (group 2), resulting in a total of 60 3-dimensional images. The digital stereophotogrammetry device obtained the images with a 3.5-ms capture time, which prevented undesirable movements of the participants. Linear measurements between facial landmarks were made, in units of millimeters, and the data were subjected to multivariate and univariate statistical analyses using Pirouette^® version 4.5 (InfoMetrix Inc., Woodinville, WA, USA) and Microsoft Excel^® (Microsoft Corp., Redmond, WA, USA), respectively. Results: The measurements that most strongly influenced the separation of the groups were related to the labial/buccal region. In general, the data showed low standard deviations, which differed by less than 10% from the measured mean values, demonstrating that the digital stereophotogrammetry technique was reproducible. Conclusion: The impact of spontaneous smiles on the facial image comparison process should be considered, and digital stereophotogrammetry provided good reproducibility.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
• /
• 2021.11a
• /
• pp.139-141
• /
• 2021

In the maritime digital forensic part, it is very important and difficult process that analysis of data and information with vessel navigation system's binary log data for situation awareness of maritime accident. In recent years, anaysis of vessel's navigation system's trajectory information is an essential element of maritime accident investigation for vessel digital forensic process. So, we analysis of maritime navigation systems of vessel and feature of device and environments. In the future, we will research on information of ship's trajectory and movement for useful forensic service.

• Parasites, Hosts and Diseases
• /
• v.55 no.1
• /
• pp.71-76
• /
• 2017

This is the first study to report Chrysomya pinguis (Walker) and Lucilia porphyrina (Walker) (Diptera: Calliphoridae) as forensically important blow fly species from human cadavers in Thailand, in addition to Chrysomya villeneuvi (Patton) already known in Thailand. In 2016, a fully decomposed body of an unknown adult male was discovered in a high mountainous forest during winter in Chiang Mai province. The remains were infested heavily with thousands of blow fly larvae feeding simultaneously on them. Morphological identification of adults reared from the larvae, and molecular analysis based on sequencing of 1,247 bp partial mitochondrial cytochrome c oxidase subunit 1 gene (CO1) of the larvae and puparia, confirmed the above mentioned 3 species. The approving forensic fly evidence by molecular approach was described for the first time in Thailand. Moreover, neighbor-joining phylogenetic analysis of the CO1 was performed to compare the relatedness of the species, thereby affirming the accuracy of identification. As species of entomofauna varies among cases in different geographic and climatic circumstances, C. pinguis and L. porphyrina were added to the list of Thai forensic entomology caseworks, including colonizers of human remains in open, high mountainous areas during winter. Further research should focus on these 3 species, for which no developmental data are currently available.

• Bulletin of the Korean Chemical Society
• /
• v.34 no.8
• /
• pp.2413-2418
• /
• 2013

Forensic and legal medicine require reliable data to indicate excessive alcohol consumption. Ethanol is oxidatively metabolized to acetate by alcohol dehydrogenase and non-oxidatively metabolized to ethyl glucuronide (EtG), ethyl sulfate (EtS), phosphatidylethanol, or fatty acid ethyl esters (FAEE). Oxidative metabolism is too rapid to provide biomarkers for the detection of ethanol ingestion. However, the non-oxidative metabolite EtG is a useful biomarker because it is stable, non-volatile, water soluble, highly sensitive, and is detected in body fluid, hair, and tissues. EtG analysis methods such as mass spectroscopy, chromatography, or enzyme-linked immunosorbent assay techniques are currently in use. We suggest that nuclear magnetic resonance (NMR) spectroscopy could be used to monitor ethanol intake. As with current conventional methods, NMR spectroscopy doesn't require complicated pretreatments or sample separation. This method has the advantages of short acquisition time, simple sample preparation, reproducibility, and accuracy. In addition, all proton-containing compounds can be detected. In this study, we performed $^1H$ NMR analyses of urine to monitor the ethanol and EtG. Urinary samples were collected over time from 5 male volunteers. We confirmed that ethanol and EtG signals could be detected with NMR spectroscopy. Ethanol signals increased immediately upon alcohol intake, but decreased sharply over time. In contrast, EtG signal increased and reached a maximum about 9 h later, after which the EtG signal decreased gradually and remained detectable after 20-25 h. Based on these results, we suggest that $^1H$ NMR spectroscopy may be used to identify ethanol non-oxidative metabolites without the need for sample pretreatment.

• Journal of the Korea Society of Computer and Information
• /
• v.13 no.1
• /
• pp.253-260
• /
• 2008

This paper is based on the ubiquitous network of telematics technology, equipped with a black box to the car by a unique address given to IPv6. The driver's black box at startup and operation of certification, and the car's driving record handling video signals in real-time sensor signals handling to analyze the records. Through the recorded data is encrypted transmission, and the Ubiquitous network of base stations, roadside sensors through seamless mobility and location tracking data to be generated. This is a file of Transportation Traffic Operations Center as a unique address IPv6 records stored in the database. The car is equipped with a black box used on the road go to Criminal cases, the code automotive black boxes recovered from the addresses and IPv6, traffic records stored in a database to compare the data integrity verification and authentication via secure. This material liability in the courtroom and the judge Forensic data are evidence of the recognition as a highly secure. convenient and knowledge in the information society will contribute to human life.

• Journal of the Korea Institute of Information Security & Cryptology
• /
• v.27 no.5
• /
• pp.1099-1105
• /
• 2017

Enterprises use different accounting programs to process vast amounts of accounting data. Due to the characteristic of the accounting program, in addition to the accounting data used by the accounting program, there is a variety of information to help detect accounting fraud. Existing forensic accounting techniques have limited scope of analysis because they analyze only accounting data like accounting ledger without using such information. When you do accounting fraud detection, information obtained from characteristics of accounting program can be used to obtain various information that can not be obtained by accounting data analysis alone. In this paper, we try to contribute to effective accounting fraud investigation by suggesting a technique to effectively detect accounting fraud by using other data obtained from characteristics of accounting program used in Windows system.