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The Smart Electronic Tagging System for Sexual Offenses Prevention Context-Aware Services in Extreme Situations such as Location Unrecognized

위치인식 불가의 극한상황에서 성범죄 예방 상황인지 서비스를 위한 스마트 전자발찌 시스템

  • Lee, Gil-Yong (Department of Business IT, KookMin University) ;
  • Park, Soo-Hyun (Department of Management Information Systems, KookMin University)
  • 이길용 (국민대학교 비즈니스IT전문대학원 비즈니스IT 전공) ;
  • 박수현 (국민대학교 경영정보학부)
  • Received : 2012.10.15
  • Published : 2012.11.25

Abstract

The existing electronic tagging system traces the location of a sex offender through communicating with GPS satellites and mobile phone base stations in order to prevent repeated crimes. However, the GPS satellite communication method does not work well in the interiors of downtown buildings or on the subways where it is difficult to receive satellite signals. In such cases, the location can be traced through communication with mobile phone base stations. But the distance between mobile phone base stations is several hundred meters, and as a result the margin of error for location tracing can be maximum of 2km in accuracy reduction. Take for example, if a kindergarten is located on the 2nd floor and a coffee shop and the sex offender are located on the 3rd floor in a 5-story building that is downtown, the existing electronic tagging system cannot trace the location of the sex offender as the GPS satellite communication does not work in the interior of the building and the exact floor that the sex offender is located on cannot be recognized through communication with mobile phone base stations. This occurrence is a big problem for the existing electronic tagging system, which is based on position recognition. Therefore, this study suggests a smart electronic tagging system that can monitor sex offenders by using a Ubiquitous Sensor Network in such extreme situations where position recognition is not possible.

기존 전자발찌 시스템은 GPS 위성 및 휴대폰 기지국 통신을 통해 성범죄자의 위치를 추적하고 재범을 방지하는 장치이다. 하지만 GPS 위성통신 방식은 위성 신호 수신이 어려운 도심 건물의 실내나 지하철에서는 제대로 작동하지 않는다. 이러한 경우 휴대폰 기지국 통신을 통해 위치추적을 할 수 있다. 그러나 휴대폰 기지국은 설치범위가 수백 미터 간격으로 넓기 때문에, 위치추적을 할 경우 오차범위가 최대 2 km일 만큼 정확도가 떨어진다. 만약 도심의 5층 건물에서 유치원이 2층에 위치해 있고 커피숍과 성범죄자가 3층에 위치해 있다면, 기존 전자발찌는 건물 내부로 인해 GPS 위성통신으로 위치추적이 안되고 휴대폰 기지국 통신으로도 정확한 층에 대한 위치인식이 안 된다. 전자발찌는 위치인식 기반의 시스템으로 이러한 현상은 커다란 문제가 된다. 따라서 본 논문은 이런 위치인식 불가의 극한환경에서 USN을 이용하여 성범죄자들을 감시할 수 있는 스마트 전자발찌 시스템을 제안한다.

Keywords

References

  1. W. Y. Kim, "Improve Productivity using M2M," Services Science National Forum Union Seminar, Seoul, Korea, December 2010.
  2. P. Liu, et al, "Real-time Forensic DNA Analysis at a Crime Scene using a Portable Microchip Analyzer," Forensic Science Int. : Genetics, vol. 2, issue 4, pp. 301-309, September 2008.
  3. Y. C. Yoon, "Critical Study on the Electronic Surveillance System in Korea," Korean Criminological Review, vol. 19, no. 3, pp. 201-228, September 2008.
  4. Act on Electronic Monitoring Device Attachment, etc, for Specific Crimes Offenders, 9765 $\S$16-2 (2009).
  5. R. Cotter, et al, "GPS‐Electronic Monitoring and Contemporary Penology: A Case Study of US GPS‐Electronic Monitoring Programmes," The Howard Journal of Criminal Justice, vol. 48, issue 1, pp. 76-87, February 2009.
  6. http://blog.daum.net/egosio/6939946, date of access May 2012.
  7. http://jjlife.joins.com/club/club_article_print.asp? Total_ID=3672269, date of access June 2012.
  8. A. Carroll, et al, "An Analysis of Power Consumption in a Smartphone," the 2010 USENIX Annual Technical Conf., Boston, USA, June, 2010.
  9. "EM-406a GPS receiver engine board specification", http://elmicro.com/files/sparkfun/em406a_ug.pdf, date of access July 2012.
  10. S. B. Kotwal, et al, "Analysis of One Anchor RSSI and AoA Based Iterative Localization Algorithm for Wireless Sensor Networks," Int. Journal of Simulation, Systems, Science and Technology, vol. 11, no. 2, pp. 35-41, March 2010.
  11. http://www.kormedi.com/news/article/1190995_2892 .html, date of access May 2012.
  12. K. C. Faller, "The Polygraph, Its Use in Cases of Alleged Sexual Abuse: An Exploratory Study," The Int. Journal, vol. 21, no. 10, pp. 993-1008, October 1997.
  13. R. W. Levenson, et al, "Voluntary Facial Action Generates Emotion-Specific Autonomic Nervous System Activity," Psychophysiology, vol. 27, issue 4, pp. 363-384, July 1990. https://doi.org/10.1111/j.1469-8986.1990.tb02330.x
  14. C. Guilleminault, et al, "Diabetic Autonomic Dysfunction, Blood Pressure, and Sleep," Annals of Neurology, vol. 18, issue 6, pp. 670-675, December 1985. https://doi.org/10.1002/ana.410180608
  15. J. C. Blader, et al, "The Relationship between Cognitive and Erectile Measures of Sexual Arousal in Non-rapist Males as Afunction of Depicted Aggression," Behaviour Research and Therapy, vol. 22, issue 6, pp. 623-630, 1984. https://doi.org/10.1016/0005-7967(84)90125-6
  16. M. Zuckerman, "Physiological Measures of Sexual Arousal in the Human," Psychological Bulletin, vol. 75, no. 5, pp. 297-329, May 1971. https://doi.org/10.1037/h0030923
  17. S. H. Baek, et al, "The Effects of Sexual Excitement Induced by Visual Erotic Stimulation on Serum Dopamine and Testosterone," Korean J Androl, vol. 18, no. 2, pp. 125-129, August 2000.
  18. R. K. Hanson, et al, "The Characteristics of Persistent Sexual Offenders: A Meta-Analysis of Recidivism Studies," Journal of Consulting and Clinical Psychology, vol. 73, no. 6, pp. 1154-1163, December 2005. https://doi.org/10.1037/0022-006X.73.6.1154
  19. D. Y. Oh, "Psychological Characteristics of Child Sexual Molesters," Master Dissertation, Hanyang University, Seoul, Korea, 2007.
  20. W. J. Kim, et al, "The Effects of Alcohol Administration on Heart Rate and Catecholamine Response after Submaximal Exercise," The Korean Society of Sports Science, vol. 8, no. 1, pp. 453-462, 1999.
  21. H. S. Cho, et al, "Optimal Resting Heart Rate in Adult Population : Factors Related to the Heart Rate," The Korean Journal of Medicine, vol. 72, no. 2, pp. 172-180, February 2007.
  22. Y. A. Shin, et al, "The Comparison of Heart Rate Variability and Blood Pressure according to Posture and Exercise type," Korean Society of Exercise Physiology, vol. 20, no. 3, pp. 249-260, 2010.
  23. Y. Y. Jin, et al, "The Test of Validity Using an Accelerometer for the Assessment of Physical Activity-related Energy Expenditure," Korean Society for the Study of Obesity, vol. 20, no. 4, pp. 185-192, 2011. https://doi.org/10.7570/kjo.2011.20.4.185
  24. I. J. Kim, "Correlation of Heart Rate Variability with Severity of Depression and Anxiety in Normal Adults," Master Dissertation, Hallym University, Kangwon, Korea, 2006.
  25. http://www.topendsports.com/testing/heart-rate -resting-chart.htm, date of access July 2012.
  26. J. Archer, et al, "Sex and Gender," Cambridge University Press, 2002.
  27. E. Boenisch, et al, "The Stress Owner's Manual: Meaning, Balance & Health in Your Life," 2nd edition, Impact Publishers, 2003.
  28. S. S. Kety, et al, "The Effects of Active and Passive Hyperventilation on Cerebral Blood Flow, Cerebral Oxygen Consumption, Cardiac Output, and Blood Pressure of Normal Young Men," J Clin Invest., vol. 25, no. 1, pp. 107-119, 1946. https://doi.org/10.1172/JCI101680
  29. S. Haufe, et al, "Determinants of Exerciseinduced Fat Oxidation in Obese Women and Men," Hormone and Metabolic Research Journal, vol. 42, no. 3, pp. 215-221, 2010. https://doi.org/10.1055/s-0029-1242745
  30. W. C. Miller, et al, "Predicting Max HR and the HR-VO2 Relationship for Exercise Prescription in Obesity," Medicine and Science in Sports and Exercise, vol. 25, no. 9, pp. 1077-1081, 1993.
  31. R. L. Gellis, et al, "Longitudinal Modeling of the Relationship between Age and Maximal Heart Rate," Medicine & Science in Sports & exercise, vol. 39, no. 5, pp. 822-829, 2007.
  32. B. R. Londeree, et al, "Effect of Age and Other Factors on Maximal Heart Rate," Research Quarterly for Exercise and Sport, vol. 53, no. 4, pp. 297-304, December 1982. https://doi.org/10.1080/02701367.1982.10605252
  33. http://www.csc-scc.gc.ca/text/rsrch/special_reports/shp2007/ paraphil08-eng.shtml, date of access May 2012.
  34. T. M. Kim, "A Critical Study on the Status and Countermeasures of Sexual Crimes," Korean Criminological Review, vol. 22, no. 3, September 2011.
  35. http://crimestats.or.kr/hpweb/main/index.k2?cmd=main, date of access July 2012.
  36. http://news.chosun.com/site/data/html_dir/2012/09/05/ 2012090500194.html, date of access September 2012.
  37. F. D. Bau, et al, "Acute Ingestion of Alcohol and Cardiac Autonomic Modulation in Healthy Volunteers," Alcohol, vol. 45, issue 2, pp. 123-129, March 2011. https://doi.org/10.1016/j.alcohol.2010.08.011
  38. H. Abe, et al, "Biphasic Effects of Repeated Alcohol Intake on 24-Hour Blood Pressure in Hypertensive Patients," Circulation, vol. 89, no. 6, pp. 2626-2633, June 1994. https://doi.org/10.1161/01.CIR.89.6.2626
  39. J. Rossinen, et al, "Effects of Acute Alcohol Ingestion on Heart Rate Variability in Patients with Documented Coronary Artery Disease and Stable Angina Pectoris," The American Journal of Cardiology, vol. 79, issue 4, pp. 487-491, February 1997. https://doi.org/10.1016/S0002-9149(96)00790-4
  40. R. D. MYERS, "Alcohol's Effect on Body Temperature : Hypothermia, Hyperthermia or Poikilothermia?," Brain Research Bulletin,, vol. 7, no. 2, pp. 209-220, August 1981. https://doi.org/10.1016/0361-9230(81)90085-X
  41. T. Danel, et al, "The Effect of Alcohol Consumption on the Circadian Control of Human Core Body Temperature is Time Dependent," Am J Physiol Regul Integr Comp Physiol, vol. 281, no. 1, pp. 52-55, July 2001. https://doi.org/10.1152/ajpregu.2001.281.1.R52
  42. S. Slijepcevic, et al, "On Communication Security in Wireless Ad-hoc Sensor Networks," the 11th IEEE Int. Workshops on Enabling Technologies: Infrastructure for Collaborative Enterprises, pp. 139-144, Pittsburgh, Pennsylvania, USA, June 2002.
  43. J. R. Kwapisz, et al, "Activity Recognition using Cell Phone Accelerometers," The 4th Int. Workshop on Knowledge Discovery from Sensor Data, vol. 12, issue 2, pp. 74-82, Washington, DC, USA, December 2010.
  44. A. Mannini, et al, "Machine Learning Methods for Classifying Human Physical Activity from On-Body Accelerometers," Sensors, vol. 10, issue 2, pp. 1154-1175, February 2010. https://doi.org/10.3390/s100201154
  45. T. W. Park, et al, "E-Gesture : A Collaborative Architecture for Energy-efficient Gesture Recognition with Hand-worn Sensor and Mobile Devices," The 9th ACM Conf. on Embedded Networked Sensor Systems, pp. 260-273, Seattle, WA, USA, November 2011.
  46. Q. An, et al, "Evaluation of Wearable Gyroscope and Accelerometer Sensor(PocketIMU2) during Walking and Sit-to-Stand Motions," the 21st IEEE Int. Symp. on Robot and Human Interactive Communication, Paris, France, September 2012.
  47. R. Swift, et al, "Alcohol Hangover: Mechanisms and Mediators," Alcohol Withdrawal, vol. 22, no. 1, pp. 54-60, 1998.
  48. http://dongpung.net/xe/?mid=medical&document_ srl=685&sort_index=title&order_type=desc&listStyl e=viewer&page=2, date of access June 2012.
  49. S. K. Kim, et al, "HMM-based motion recognition with 3-D acceleration signal," Journal of KIISE : Computing Practices and Letters, vol. 15, no. 3, pp. 216-220, 2009.
  50. B. Choe, et al, "Accumulative dynamic time warping for 3-axis accelerometer based gesture recognition," Proc. of The 36th KCC, vol. 36, no. 1, pp. 562-565, 2009.
  51. J. Liu, et al, "uWave : Accelerometer-based Personalized Gesture Recognition and its Applications," Pervasive and Mobile Computing, vol. 5, issue 6, pp. 657-675, December 2009. https://doi.org/10.1016/j.pmcj.2009.07.007
  52. J. Wu, et al, "Gesture recognition with a 3-D accelerometer," Proc. Ubiquitous Intelligence and Computing, LNCS, vol. 5585, pp. 25-38. Springer, Heidelberg, 2009.