• Title/Summary/Keyword: Forensic Data

Search Result 377, Processing Time 0.031 seconds

Review of Medical Dispute Cases in the Pain Management in Korea: A Medical Malpractice Liability Insurance Database Study

  • Kim, Yeon Dong;Moon, Hyun Seog
    • The Korean Journal of Pain
    • /
    • v.28 no.4
    • /
    • pp.254-264
    • /
    • 2015
  • Background: Pain medicine often requires medico-legal involvement, even though diagnosis and treatments have improved considerably. Multiple guidelines for pain physicians contain many recommendations regarding interventional treatment. Unfortunately, no definite treatment guidelines exist because there is no complete consensus among individual guidelines. Pain intervention procedures are widely practiced and highly associated with adverse events and complications. However, a comprehensive, systemic review of medical-dispute cases (MDCs) in Korea has not yet been reported. The purpose of this article is to analyze the frequency and type of medical dispute activity undertaken by pain specialists in Korea. Methods: Data on medical disputes cases were collected through the Korea Medical Association mutual aid and through a private medical malpractice liability insurance company. Data regarding the frequency and type of MDCs, along with brief case descriptions, were obtained. Results: Pain in the lumbar region made up a major proportion of MDCs and compensation costs. Infection, nerve injury, and diagnosis related cases were the most major contents of MDCs. Only a small proportion of cases involved patient death or unconsciousness, but compensation costs were the highest. Conclusions: More systemic guidelines and recommendations on interventional pain management are needed, especially those focused on medico-legal cases. Complications arising from pain management procedures and treatments may be avoided by physicians who have the required knowledge and expertise regarding anatomy and pain intervention procedures and know how to recognize procedural aberrations as soon as they occur.

Microsurfacing Successes and Failures (마이크로서페이싱의 성공과 실패 사례)

  • Kim, Hyun Hwan;Benjamin, Broughton;Lee, Moon Sup;Lee, Soon Jae
    • International Journal of Highway Engineering
    • /
    • v.17 no.2
    • /
    • pp.71-78
    • /
    • 2015
  • PURPOSES: This study set out to investigate the current state of microsurfacing in Texas and compared the results with the current state of the practice nationwide. METHODS: For this study, case studies were extracted from the existing literature and compared with the data obtained both from site visits by the research team and data obtained from a survey by Texas Department of Transportation (TxDOT) personnel. The successes and failures of microsurfacing are detailed and explanations of different issues are outlined. Forensic studies from Texas are included in the descriptions of those microsurfacings that failed when configured as part of the cape seals. RESULTS : Microsurfacing has been shown to be an effective pavement preservation technique when applied to an appropriate road, at an appropriate timing, and as a remedy for certain issues. The failures experienced in Texas can mostly be attributed to cape seals and an inability to recognize structurally faulty pavement. CONCLUSIONS : When applied to an appropriate road, at an appropriate timing, and as a remedy for certain issues, microsurfacing has been shown to perform well in numerous case studies. The majority of microsurfacing failures are the result of poor project selection, usually involving the treatment being applied to structurally unsound pavement.

Factors Influencing Post Traumatic Stress Disorder in Crime Scene Investigators (경찰 과학수사요원의 외상 후 스트레스 장애 발생 영향요인)

  • Nho, Seon Mi;Kim, Eun A
    • Journal of Korean Academy of Nursing
    • /
    • v.47 no.1
    • /
    • pp.39-48
    • /
    • 2017
  • Purpose: The purpose of this study was to verify the relationships among social support, resilience and post traumatic stress disorder (PTSD), and especially to identify factors influencing PTSD in police crime scene investigators. Methods: A cross-sectional design was used, with a convenience sample of 226 police crime scene investigators from 7 Metropolitan Police Agencies. Data were collected through self-report questionnaires during July and August, 2015. Data were analyzed using t-test, ${\chi}^2$-test, Fisher's exact test, and binary logistic regression analysis with SPSS/WIN 21.0 program. Results: The mean score for PTSD in police crime scene investigators was 13.69 .11 points. Of the crime scene investigators 181 (80.1%) were in the low-risk group and 45 (19.9%) in high-risk group. Social support (t=5.68, p<.001) and resilience (t=5.47, p<.001) were higher in the low-risk group compared to the high-risk group. Logistic regression analysis showed that resilience (OR=4.74, 95% CI: 1.57~14.35), and social support (OR=2.13, 95% CI: 1.23~3.69) are effect factors for PTSD low group. Conclusion: For effective improvement of PTSD in police crime scene investigators, intervention programs including social support and strategies to increase should be established.

Research on Development of Digital Forensics based Digital Records Migration Procedure and Tool (디지털 포렌식 기반의 전자기록물 이관 절차 및 도구 개발에 관한 연구)

  • Lee, Seokcheol;Yoo, Hyunguk;Shon, Taeshik
    • Journal of the Korea Institute of Information Security & Cryptology
    • /
    • v.24 no.3
    • /
    • pp.571-580
    • /
    • 2014
  • Digital Records, which are created, stored, and managed in digital form, contains security vulnerability such as data modification, due to the characteristic of digital data. Therefore it is necessary to guarantee the reliability by verification of integrity and authenticity when managing digital records. This paper propose digital forensics based migration process for electronic records by analyzing legacy digital forensics process, and derives the requirements to develop digital forensics based electronic records migration tool through analyzing trends of abroad digital records migration technique and tool. Based on these develop digital forensic based digital records migration tool to guarantee integrity and authenticity of digital records.

Differential Change in the Prevalence of the Ascaris, Trichuris and Clonorchis infection Among Past East Asian Populations

  • Zhan, Xiaoya;Yeh, Hui-Yuan;Shin, Dong Hoon;Chai, Jong-Yil;Seo, Min;Mitchell, Piers D.
    • Parasites, Hosts and Diseases
    • /
    • v.57 no.6
    • /
    • pp.601-605
    • /
    • 2019
  • As we learn more about parasites in ancient civilizations, data becomes available that can be used to see how infection may change over time. The aim of this study is to assess how common certain intestinal parasites were in China and Korea in the past 2000 years, and make comparisons with prevalence data from the 20th century. This allows us to go on to investigate how and why changes in parasite prevalence may have occurred at different times. Here we show that Chinese liver fluke (Clonorchis sinensis) dropped markedly in prevalence in both Korea and China earlier than did roundworm (Ascaris lumbricoides) and whipworm (Trichuris trichiura). We use historical evidence to determine why this was the case, exploring the role of developing sanitation infrastructure, changing use of human feces as crop fertilizer, development of chemical fertilizers, snail control programs, changing dietary preferences, and governmental public health campaigns during the 20th century.

A Deep Learning Approach for Identifying User Interest from Targeted Advertising

  • Kim, Wonkyung;Lee, Kukheon;Lee, Sangjin;Jeong, Doowon
    • Journal of Information Processing Systems
    • /
    • v.18 no.2
    • /
    • pp.245-257
    • /
    • 2022
  • In the Internet of Things (IoT) era, the types of devices used by one user are becoming more diverse and the number of devices is also increasing. However, a forensic investigator is restricted to exploit or collect all the user's devices; there are legal issues (e.g., privacy, jurisdiction) and technical issues (e.g., computing resources, the increase in storage capacity). Therefore, in the digital forensics field, it has been a challenge to acquire information that remains on the devices that could not be collected, by analyzing the seized devices. In this study, we focus on the fact that multiple devices share data through account synchronization of the online platform. We propose a novel way of identifying the user's interest through analyzing the remnants of targeted advertising which is provided based on the visited websites or search terms of logged-in users. We introduce a detailed methodology to pick out the targeted advertising from cache data and infer the user's interest using deep learning. In this process, an improved learning model considering the unique characteristics of advertisement is implemented. The experimental result demonstrates that the proposed method can effectively identify the user interest even though only one device is examined.

CNN-Based Fake Image Identification with Improved Generalization (일반화 능력이 향상된 CNN 기반 위조 영상 식별)

  • Lee, Jeonghan;Park, Hanhoon
    • Journal of Korea Multimedia Society
    • /
    • v.24 no.12
    • /
    • pp.1624-1631
    • /
    • 2021
  • With the continued development of image processing technology, we live in a time when it is difficult to visually discriminate processed (or tampered) images from real images. However, as the risk of fake images being misused for crime increases, the importance of image forensic science for identifying fake images is emerging. Currently, various deep learning-based identifiers have been studied, but there are still many problems to be used in real situations. Due to the inherent characteristics of deep learning that strongly relies on given training data, it is very vulnerable to evaluating data that has never been viewed. Therefore, we try to find a way to improve generalization ability of deep learning-based fake image identifiers. First, images with various contents were added to the training dataset to resolve the over-fitting problem that the identifier can only classify real and fake images with specific contents but fails for those with other contents. Next, color spaces other than RGB were exploited. That is, fake image identification was attempted on color spaces not considered when creating fake images, such as HSV and YCbCr. Finally, dropout, which is commonly used for generalization of neural networks, was used. Through experimental results, it has been confirmed that the color space conversion to HSV is the best solution and its combination with the approach of increasing the training dataset significantly can greatly improve the accuracy and generalization ability of deep learning-based identifiers in identifying fake images that have never been seen before.

Revisiting diaphragmatic hernia of Joseon period Korean mummy by three-dimensional liver and heart segmentation and model reconstruction

  • Ensung Koh;Da Yeong Lee;Dongsoo Yoo;Myeung Ju Kim;In Sun Lee;Jong Ha Hong;Sang Joon Park;Jieun Kim;Soon Chul Cha;Hyejin Lee;Chang Seok Oh;Dong Hoon Shin
    • Anatomy and Cell Biology
    • /
    • v.55 no.4
    • /
    • pp.507-511
    • /
    • 2022
  • A three-dimensional (3D) segmentation and model reconstruction is a specialized tool to reveal spatial interrelationship between multiple internal organs by generating images without overlapping structures. This technique can also be applicable to mummy studies, but related reports have so far been very rare. In this study, we applied 3D segmentation and model reconstruction to computed tomography images of a Korean mummy with congenital diaphragmatic hernia. As originally revealed by the autopsy in 2013, the current 3D reconstruction reveals that the mummy's heart is shifted to the left due to the liver pushing up to thoracic cavity thorough diaphragmatic hernial defect. We can generate 3D images by calling up the data exclusively from mummy's target organs, thus minimizing the confusion of diagnosis that could be caused by overlapping organs.

Comparison of Remaining Data According to Deletion Events on Microsoft SQL Server (Microsoft SQL Server 삭제 이벤트의 데이터 잔존 비교)

  • Shin, Jiho
    • Journal of the Korea Institute of Information Security & Cryptology
    • /
    • v.27 no.2
    • /
    • pp.223-232
    • /
    • 2017
  • Previous research on data recovery in Microsoft SQL Server has focused on restoring data based on in the transaction log that might have deleted records exist. However, there was a limit that was not applicable if the related transaction log did not exist or the physical database file was not connected to Server. Since the suspect in the crime scene may delete the data records using a different deletion statements besides "delete", we need to check the remaining data and a recovery possibility of the deleted record. In this paper, we examined the changes "Page Allocation information" of the table, "Unallocation deleted data", "Row Offset Array" in the page according to "delete", "truncate" and "drop" events. Finally it confirmed the possibility of data recovery and availability of management tools in Microsoft SQL Server digital forensic investigation.

A Study on the Developing Method of HIF Monitoring Data using Wavelet Coefficient (웨이브렛 계수를 이용한 고저항 지락고장 감시데이터 산출방법 연구)

  • Jung, Young-Beom;Jung, Yeon-Ha;Kim, Kil-Sin;Lee, Byung-Sung;Bae, Seung-Chul
    • The Transactions of The Korean Institute of Electrical Engineers
    • /
    • v.62 no.2
    • /
    • pp.155-163
    • /
    • 2013
  • As the increasing HIF(High Impedance Fault) with the arc cannot be easily detected for the low fault current magnitude compared to actual load in distribution line. However, the arcing current shows that the magnitude varies with time and the signal is asymmetric. In addition, discontinuous changes occur at starting point of arc. Considering these characteristics, wavelet transformation of actual current data shows difference between before and after the fault. Althogh raw data(detail coefficient) of wavelet transform may not be directly applied to HIF detection logic in a device, there are several developing methods of HIF monitoring data using the original wavelet coefficients. In this paper, a simple and effective developing methods of HIF monitoring data were analized by using the signal data through an actual HIF experiment to apply them to economic devices. The methods using the sumation of the wavelet coefficient squares in one cycle of the fundamental frequency as the energies of the wavelet coefficeits and the sumation of the absolute values were compared. Besides, the improved method which less occupies H/W resouces and can be applied to field detection devices was proposed. and also Verification of this HIF detection method through field test on distribution system in KEPCO power testing center was performed.