Feasibility of CT Baggage Scanners to Improve Campus Safety and Security in De La Salle University - Manila

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    Feasibility of CT Baggage Scanners to Improve Campus Safety

    and Security in De La Salle University Manila

    April Antonette F. Velasco

    Mariah Denise S. Carumba

    Danielle Koleen P. Lapuz

    Marius Lee R. Rosopa

    John Gerald B. Santiago*

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    INTRODUCTION

    College education opens many doors and offers lots of opportunities and

    advantages to an individual. Thus, students should be given the best promising chance to

    do well in college. In order to offer such opportunity, Corral (2011) suggested that a safe

    and secure learning environment must be provided. However, it was stated in Senator

    Edgardo Angaras (2012) explanatory note for the House Bill No. 6479 of the Fifteenth

    congress that there has been a steady increase in the crime rate in campuses all over the

    country. Hence, it is essential to provide heightened safety and security in campuses.

    Innocence is not an excuse for any accident or crime in a university. As a matter

    of fact, knowledge regarding security in huge campuses like a university is vital because

    security plays an important role in the society. In an article by Paperclip Communications

    (2007), the responsibilities of police department in the security of the campus such as

    being active and ready in such accidents or other emergencies that may happen,

    preventing violations that may go along the way, guarding the safety of each and every

    human, and avoiding crimes that may occur inside the campus are elaborated upon. To

    define a safe campus, the security should be alert for any call of action and anywhere

    around the place. It is also stated that campus security personnel undergoes training to be

    sure that they efficiently maintain campus safety.

    Due to increased risks of crime in campus, new security measures must be

    implemented. Herold (2009) said that one of the key factors to consider in implementing

    new security policies is the audience. It must be assured that before making the final

    decision with the high organizations and offices, the side of the people who will be

    affected must be taken into consideration. Policies should be fair, understandable, and

    legal to everyone. Everyone, independent of their knowledge and intellect, need to be

    able to read any and all of the organization's information security and privacy policies

    and completely understand them. Moreover, a new soon-to-be implemented security

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    policy will be successful if people that are being affected will understand, will be aware

    and be willing to participate in it. Boredom is one of the factors that may corrupt a new

    policy. Im not saying that every policy should be enjoyable and not being taken

    seriously, but prior to the issue, everyone should benefit and as well understand

    everything that is going on. (Leek, 2014, para. --). In line with this, this study was

    conducted to analyze the feasibility of computed tomography (CT) baggage scanners to

    improve campus safety and security in De La Salle UniversityManila.

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    REVIEW OF RELATED LITERATURE

    Current security system and policies in DLSU

    De La Salle University makes sure that it provides a safe and secure campus to its

    community. According to the Safety and Security Office, there are approximately 112

    guards deployed in De La Salle University Manila, 146 in DLSU-College of St.

    Benilde, and around 25 in the Canlubang campus. (Batalla & Santiago, 2013) According

    to Sta. Romana and Tolentino (2014), to enhance in-campus security, the Safety and

    Security Office (SSO) participates in Task Force Safe School, a multi-sectoral group

    working hand in hand with the University Student Government, Student Disciple

    Formation Office, Mayors office, and Manila Police Department. This is in addition to

    following the standard security protocols which include ID scanning, issuance of visitors

    pass, roving security and entrance security check. DLSU-M is also one of the universities

    that use battery-operated, hand-held metal detection devices that a guard swipes and

    wands off around the bags of the students. The guards also swipe it around the persons

    body, specifically at the hips because that is where people can hide things. When the

    detector detects something skeptical, it sounds off an alarm. It is now the guard sduty to

    manually inspect the baggage and its contents. (National Criminal Justice Reference

    Service, 1999)

    It was concluded in a survey conducted for this study that the students of De La

    Salle University is contented on the security system of the said campus but it will be nice

    if a chance will be given to make the security be better. In fact, a device called Archers

    Eye of De La Salle was implemented along Taft Manila campus. As stated in the official

    website of the university (2011), Archers Eye is a series of CCTV cameras that views

    and monitors the students and places every second. Such cameras can be found at the

    entrances of each building. These cameras serve as the eye of the security for monitoring

    purposes.

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    CT baggage scanners as mode of security

    Computed Tomography scanner or simply called CT scanner is known to be very

    expensive. Contrary to this fact is the high efficiency of the said security scanner. Density

    and atomic number of objects are scanned by this machine for it to detect the presence of

    a bomb. Also, the scanner gives a 3D view of the things that will pass through its tunnel.

    Furthermore, CT scanner has the ability to give a centralized view of the image it is

    focusing on. Given the fact that the CT scanner is really fast, it is said that it has the

    capability to scan 1000 bags per hour. Huge bags have never been a problem because the

    machine has wide tunnel for any size of baggage. In addition, CT scanner is easy to

    install and simple to use (Reveal CT-120 Baggage Inspection System, 2015).

    According to Castillo (2011), CT scanner was invented in 1972 and is now

    becoming in demand especially in the United States. He also stated that research,

    inspections, attenuation analysis, reverse engineering, measurements, and 3D digitization

    are some of the major applications of CT scanner. When entering a place with security

    CT scanner, one should place his belongings in a tunnel for it to be check automatically.

    This process is smooth, fast, and efficient. The X-ray will scan through the luggage and

    will record the results. The CT scanner uses all of this data to create a very detailed

    tomogram or slice of the bag (Tyson &Grabianowski, 2001). The density, as well as the

    mass, of the objects will be determined by the use of tomogram. When the luggage is

    determined to be too heavy, the scanner will make an annoying and loud noise as an

    alarm or warning to check whether the bag has something dangerous inside.

    With the recent advances in imaging technology, the possibility of real time

    scanning of bags in handling security operations with the use of dual energy CT scanners

    became possible. This scanner outputs a series of image slices inside the bag which are

    then combined to for a single 3D volume image. Based on Flittons (2013) study, a key

    aspect of the practicalities of using CT baggage scanners is in relation to the rate of

    detection. It poses high true-positive rate to ensure that real threats are detected and low

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    false-positive rate to minimize the occurrence of delays and inconvenience to individuals.

    In the same study, the detection performance vis--vis speed of operation was tested in

    addition to object class recognition.

    However, the efficiency and the convenience brought by CT scanners come with

    a huge cost. As stated in the National Criminal Justice Reference Service (1999), single-

    energy unit is the most common and appropriate type of CT scanner to be used in

    educational institutions which costs around $30,000. The cost of a better model of the

    said type of scanner is ranging from $250,000 up to $1 million. But obviously, CT

    scanner cannot stand on its own due to the fact that manpower is needed for the checking

    to be completely done. Men will act as the eye to guard whenever there will be left

    belongings in the tunnel. Mostly, bags are being checked and when the scanner detects

    something suspicious inside the baggage, the alarm goes off. This means that the bag has

    been detected to contain a possible threat to security. This type of scanner is comparable

    to those CT scanners used in airport security that outputs 3D images of the contents

    (Alexander, 2014).

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    METHODOLOGY

    The method used to test the feasibility of CT baggage scanners in improving

    campus safety and security was an online and written survey. The questionnaire

    contained six items, three of which focused on the current security system of De La Salle

    University while the other three focused on the students opinion on the probable use of

    CT baggage scanners. The questions were based from previous surveys on Creating a

    safe campus by culture published by the University of Arizona (2010) and a study by

    Rajaonah, et. al. (2014) on French public acceptability of security scanners at airports.

    Some items were also based on Nissens (2012) study entitled, Public attitudes to airport

    security: The case of whole body scanners.

    A concise explanation of the CT scanner was included to give the respondents a

    brief background of the proposed system of using CT baggage scanners for in-campus

    safety and security. A total of 150 respondents were asked to answer the survey. An equal

    number of 75 male and 75 female respondents were taken to assess if there is a

    significant difference on each genders perception aboutthe safety and security within the

    campus.

    The collected data were analyzed using PHStat2. Various tests such as Chi-square

    test for independence, One-way analysis of variance (ANOVA), and T-test for

    differences in proportion were performed to generate values which will be the basis of

    interpretations. The relationship between the perceived safety rating and the need for

    enhanced security measures were tested using the Chi-square test for independence. One

    way Analysis of Variance was used to test the difference between the perceived safety

    rating of males and females. T-test for difference in proportion was used to test whether

    people agree to the idea of using CT baggage scanners and whether people prefer CT

    baggage scanner over the manual baggage checking.

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    RESULTS AND DISCUSSIONS

    Figure 1: Perceived in-campus security rating of DLSU-Manila students

    The sample mean perceived in-campus security rating is 3.1933 with a variance of

    0.5597 (n=150). This data was used to construct a 99% confidence interval estimate of

    (true mean perceived in-campus security rating of the students) using PHStat2. The

    constructed interval was (3.03, 3.35). Based on this interval, one is 99% confident that

    the true mean perceived in-campus security rating of DLSU students is between 3.03 and

    3.35. This is equivalent to 75.8% to 83.8% safety rating.

    In addition to this, the data was subjected to chi-square test for independence to

    test if there is a significant relationship between gender and perceived in-campus security

    rating. Since the computed critical value (7.81) is greater than chi-square test statistic

    (2.20), we say that there is no significant relationship between the two factors. Hence,

    there is no significant difference between the perceived in-campus security rating of male

    and female students.

    4 3 2 1

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    Figure 2: Responses for question number 2

    Based on the results of the survey, the sample proportion of students who are

    satisfied with current security measures is 57.33%. Using PHStat2, 99% confidence

    interval estimate for the true proportion of students who are satisfied with current security

    measures is between 46.9% and 67.7%. On the basis of this interval, we cannot say that

    there is a greater proportion of students who are satisfied with the current security system

    compared to those who are not since 50% is included in the constructed interval. There is

    no significant difference between the proportion of students who are satisfied or not

    satisfied with the current security measures in the campus.

    Are you satisfied with the current security measures in

    the campus?

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    Figure 3: Responses for question number 3

    The results of the survey revealed that the sample proportion of students who says

    that there is a need for enhanced security measures is 70.7%. A 99% confidence interval

    estimate for the true proportion using PHStat2 yielded a result of (0.611, 0.802). On the

    basis of this interval, one is 99% confident that the true proportion of students who says

    that there is a need for enhanced security measures is between 61.1% and 80.2%. Hence,

    we say that there is a significant difference between the proportion of those who say there

    is a need for enhanced security measures and those who says otherwise.

    Do you think there is a need for enhanced security

    measures?

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    Figure 4: Responses for question number 4

    The sample proportion of students who are for the use of CT baggage scanners is

    88.0%. Using PHStat2, a 99% confidence interval was constructed. Based on the

    constructed interval, one is 99% confident that the true proportion of students who are for

    the use of CT baggage scanners is between 81.2% and 94.8%. In addition to this, one can

    also say that the proportion of students who are for the use of CT baggage scanners is

    significantly different to the proportion of students who are againts the use of the

    scanners.

    Based on the survey, some reasons why they are against the use of CT baggage

    scanners are: cost, privacy concerns, and imposed health risks. On the other hand, the

    reason why they are for the use of CT scanners are: reliability in detecting possible

    threats to safety and security, enhanced safety, and time-efficiency.

    Are you for or against the use of CT baggage scanners in

    DLSU-Manila?

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    Figure 5: Responses for question number 5

    Based on the results of the survey, the sample proportion of students who favor

    CT baggage scanners over the current manual inspection is 90.0%. Using PHStat2, the

    computed 99% confidence interval for the true proportion is between 0.837 and 0.963.

    On the basis of this interval, one is 99% confident that the true proportion of students

    who favor CT baggage scanners over the current manual inspection is between 83.7%

    and 96.3%.

    If you were given the choice between CT scanners and

    manual inspection, which will you choose?

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    Figure 6

    Based on the gathered data, the 74.7% of the respondents pose high belief in the

    idea that CT baggage scanners will enhance control security times. On the other hand,

    only 44.0% of the respondents believe that the staff carrying out the scan will respect

    their dignity and privacy.

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    CONCLUSION

    Based on the results of the study, students of De La Salle University Manila

    gave positive attitudes on the use of computed tomography (CT) baggage scanners.

    Previous studies on the reliability of CT baggage scanners also revealed positive reviews

    on various aspects of the machine such as its rate of detection and number of bags

    scanner per minute. Hence, the use of CT baggage scanners as a new mode of security

    baggage check is feasible.

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    REFERENCES

    Alexander, R. (2014). Juneau airport gets second scanner for checked baggage.

    Retrieved April 6, 2015, from http://www.ktoo.org/2014/06/19/juneau-airport-

    gets-second-scanner-checked-baggage/

    Angara, E. (2012). House Bill No. 6479. Fifteenth CongressHouse of Representatives.

    Republic of the Philippines.

    Archer's eye: Looking out for you. (2011). Retrieved April 9, 2015, from http://archers-eye.dlsu.edu.ph/

    Batalla, J. & Santiago, F. (2013). DLSU to change security agency starting November.

    The Lasallian. http://thelasallian.com/2013/10/17/dlsu-to-change-security-agency-

    starting-november/

    Castillo, M. (2011). The industry of CT scanning.American Journal of Neuroradiology,

    33, 583-585. Retrieved April 9, 2015, from

    http://www.ajnr.org/content/33/4/583.full

    Corral, N. (2011). The importance of campus safety on college campuses. Retrieved from

    http://www.examiner.com/article/the-importance-of-campus-safety-on-college-

    campuses

    Flitton, G. (2013). A comparison 3D interest point descriptors with application to airport

    baggage object detection in complex CT imagery. United Kingdom: Cranfield

    University.

    Herold, R. (2009). 6 critical factors for effective information security & privacy policies.

    Retrieved April 7, 2015 from http://www.compliancehelper.com/article/53349-6-

    critical-factors-for-effective-information#.VSflYpSUc4Q

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    Mitchener-Nissen, T., Bowers, K., & Chetty, K. (2012). Public attitudes to airport

    security: The case of whole body scanners.Palgrave journals, 25, 229-243. doi:

    10.1057/sj.2011.20

    University of Arizona. (2010). Creating a safe campus culture.

    Retrieved March 18, 2015, from

    http://studentaffairs.arizona.edu/assessment/documents/DeanofStudents-

    SafetySurvey2009.pdf

    National Criminal Justice Reference Service. (September 1999). The appropriate and

    effective use of security technologies in U.S. schools. Retrieved April 5, 2015,

    from www.ncjrs.gov/school/178265.pdf

    Paperclip Communications. (2007). The role of campus security. Retrieved on April 10,

    2015 from www.Paper-Clip.com

    Rajaonah, B., Castelli, J., Ravenel, J., Osmont, A., Cabrol, P., & Le Fur, G. (2014).

    Acceptability of security scanners at airports: A French opinion survey. Retrieved

    March 18, 2015, from hal.archives-ouvertes.fr/hal-01010844/document

    Reveal CT-120 baggage inspection system. (2015). Retrieved April 9, 2015, from

    www.leidos.com/products/security/reveal-ct-120

    Romana, M., & Tolentino, M. (2014). On safety and security around DLSU. The

    Lasallian. Retrieved from http://thelasallian.com/2014/01/27/on-safety-and-

    security-arounsu/

    Tyson, J. & Grabianowski, E. (2001). How airport security works. Retrieved April 9,

    2015, from http://science.howstuffworks.com/transport/flight/modern/ airport-

    security.htm

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    APPENDIX I

    Survey Form

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    APPENDIX II

    Computations for the Data using PHStat

    Table 1. Z test for the Mean

    Data

    Sample Standard Deviation 0.7481

    Sample Mean 3.1933

    Sample Size 150

    Confidence Level 99%

    Standard Error of the Mean 0.061082109

    Degrees of Freedom 149

    tValue 2.609227907

    Interval Half Width 0.159377144

    Interval Lower Limit 3.03

    Interval Upper Limit 3.35

    Intermediate Calculations

    Confidence Interval

    Chi-square test of Independence

    Row variable very safe mostly safesomewhat

    safeunsafe Total

    Male 31 34 8 1 74

    Female 25 36 13 2 76

    Total 56 70 21 3 150

    Row variable very safe mostly safe omewhat saf unsafe Total

    Male 27.62666667 34.53333333 10.36 1.48 74

    Female 28.37333333 35.46666667 10.64 1.52 76

    Total 56 70 21 3 150

    Observed Frequencies

    Expected Frequencies

    Column variable

    Column variable

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    Level of Significance 0.05

    Number of Rows 2

    Number of Columns 4

    Degrees of Freedom 3

    Critical Value 7.814728

    Chi-Square Test Statistic 2.197534

    p -Value 0.532434

    Data

    Results

    Do not reject the null hypothesis

    Table 2: Z Test for Proportion

    Data

    Sample Size 150

    Number of Successes 86

    Confidence Level 99%

    Sample Proportion 0.573333333

    Z Value -2.5758293Standard Error of the Proportion 0.040383348

    Interval Half Width 0.104020612

    Interval Lower Limit 0.469312722

    Interval Upper Limit 0.677353945

    Intermediate Calculations

    Confidence Interval

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    Table 3: Z test for Proportion

    Data

    Sample Size 150

    Number of Successes 106

    Confidence Level 99%

    Sample Proportion 0.706666667

    Z Value -2.5758293

    Standard Error of the Proportion 0.037174264Interval Half Width 0.095754559

    Interval Lower Limit 0.610912107

    Interval Upper Limit 0.802421226

    Intermediate Calculations

    Confidence Interval

    Table 4: Z test for Proportion

    Data

    Sample Size 150

    Number of Successes 132

    Confidence Level 99%

    Sample Proportion 0.88

    Z Value -2.5758293

    Standard Error of the Proportion 0.026532998

    Interval Half Width 0.068344475

    Interval Lower Limit 0.811655525

    Interval Upper Limit 0.948344475

    Intermediate Calculations

    Confidence Interval

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    Table 5: Z test for Proportion

    Data

    Sample Size 150

    Number of Successes 135

    Confidence Level 99%

    Sample Proportion 0.9

    Z Value -2.5758293

    Standard Error of the Proportion 0.024494897Interval Half Width 0.063094675

    Interval Lower Limit 0.836905325

    Interval Upper Limit 0.963094675

    Intermediate Calculations

    Confidence Interval