SECURITY MANAGEMENT IN GAMBLING INDUSTRY

Yi-Hsiung Sun 아시아경찰학회 2010 Asia Pacific Journal of Police & Criminal Justice Vol.8 No.1

After over 15 years of debate concerning the introduction of the Gambling Industry in Taiwan, the Legislative Yuan of Taiwan ratified a draft amendment, entitled, “The Regulations on the Development of Offshore Islands” on Jan. 12th, 2009, decriminalizing casino gambling in the outlying islands of Taiwan.Penghu, a group of islands of Taiwan, is poised and ready for the gambling industry, having available land, improved infrastructure, and a supportive populace. This paper introduces the region's features and Penghu government's preparations. Despite these preparations, Penghu must be on alert for the negative impacts the casino will bring.While promoting prosperity, city development and economic incentive, we should be prepared for the negative impacts of crime and related social problems. This paper studies the potential impacts from the decriminalization of gambling. The gambling industry's move to Penghu will bring advantages and disadvantages for society, public order, and the economy.Including security management, strategy, treatment, and crime prevention, this paper will suggest a comprehensive security structure best capable of combating these social problems. These strategies will provide assistance to policy-making authorities as Penghu islands adjust to the arrival of the gambling industry.

SSA-based stochastic subspace identification of structures from output-only vibration measurements

Chin-Hsiung Loh,Yi-Cheng Liu,Yi-Qing Ni 국제구조공학회 2012 Smart Structures and Systems, An International Jou Vol.10 No.4

In this study an output-only system identification technique for civil structures under ambient vibrations is carried out, mainly focused on using the Stochastic Subspace Identification (SSI) based algorithms. A newly developed signal processing technique, called Singular Spectrum Analysis (SSA), capable to smooth a noisy signal, is adopted for preprocessing the measurement data. An SSA-based SSI algorithm with the aim of finding accurate and true modal parameters is developed through stabilization diagram which is constructed by plotting the identified system poles with increasing the size of data matrix. First, comparative study between different approaches, with and without using SSA to pre-process the data, on determining the model order and selecting the true system poles is examined in this study through numerical simulation. Finally, application of the proposed system identification task to the real large scale structure: Canton Tower, a benchmark problem for structural health monitoring of high-rise slender structures, using SSA-based SSI algorithm is carried out to extract the dynamic characteristics of the tower from output-only measurements.

Engineering Technology Far-end Telecontrol Cathodic Protection on the Structure of Jetty Bridge Cap Beams

Liu, Yi-Hsiung,Lim, Pau-Yee,Shih, Chien-Chis 한국부식방식학회 2003 Corrosion Science and Technology Vol.2 No.1

23 cap beams on the 1 Km length jetty bridge in Shin-da power plant (Taipower co., Taiwan) utilize far-end telecontrol cathodic protection technology which is the first case ever used in 'Taiwan. The system comprises cathodic protection system and telecontrol monitoring system. The control and monitoring such as protection current adjustment, protection potential and depolarization measurement of the 23 cap beams can be adjusted through system telecontrol operations. Thereby allows monitoring and control of the 23 anode zones in a convenient and cost effective way. This system is at present still in its best running condition since Sept. 1997 when it was completed. All the 23 cap beams can achieve the 100 mV depolarization potential criteria of protection. It meet the specifications of reinforced concrete cathodic protection standard and proved to be very excellent.

SSA-based stochastic subspace identification of structures from output-only vibration measurements

Loh, Chin-Hsiung,Liu, Yi-Cheng,Ni, Yi-Qing Techno-Press 2012 Smart Structures and Systems, An International Jou Vol.10 No.4

In this study an output-only system identification technique for civil structures under ambient vibrations is carried out, mainly focused on using the Stochastic Subspace Identification (SSI) based algorithms. A newly developed signal processing technique, called Singular Spectrum Analysis (SSA), capable to smooth a noisy signal, is adopted for preprocessing the measurement data. An SSA-based SSI algorithm with the aim of finding accurate and true modal parameters is developed through stabilization diagram which is constructed by plotting the identified system poles with increasing the size of data matrix. First, comparative study between different approaches, with and without using SSA to pre-process the data, on determining the model order and selecting the true system poles is examined in this study through numerical simulation. Finally, application of the proposed system identification task to the real large scale structure: Canton Tower, a benchmark problem for structural health monitoring of high-rise slender structures, using SSA-based SSI algorithm is carried out to extract the dynamic characteristics of the tower from output-only measurements.

Application of recursive SSA as data pre-processing filter for stochastic subspace identification

Chin-Hsiung Loh,Yi-Cheng Liu 국제구조공학회 2013 Smart Structures and Systems, An International Jou Vol.11 No.1

The objective of this paper is to develop on-line system parameter estimation and damage detection technique from the response measurements through using the Recursive Covariance-Driven Stochastic Subspace identification (RSSI-COV) approach. To reduce the effect of noise on the results of identification, discussion on the pre-processing of data using recursive singular spectrum analysis (rSSA) is presented to remove the noise contaminant measurements so as to enhance the stability of data analysis. Through the application of rSSA-SSI-COV to the vibration measurement of bridge during scouring experiment, the ability of the proposed algorithm was proved to be robust to the noise perturbations and offers a very good online tracking capability. The accuracy and robustness offered by rSSA-SSI-COV provides a key to obtain the evidence of imminent bridge settlement and a very stable modal frequency tracking which makes it possible for early warning. The peak values of the identified 1st mode shape slope ratio has shown to be a good indicator for damage location, meanwhile, the drastic movements of the peak of 2nd mode slope ratio could be used as another feature to indicate imminent pier settlement.

Anti-tumor and Anti-inflammatory Activity of the Methanol Extracts from Adlay Bran

Ming-Yi Lee,Shu-Hsien Tsai,Yueh-Hsiung Kuo,Wenchang Chiang 한국식품과학회 2008 Food Science and Biotechnology Vol.17 No.6

Adlay bran is a waste product previously thought to have no commercial value. Its methanolic extract was fractionated using n-hexane (ABM-Hex), ethyl acetate (ABM-EtOAc), 1-butanol (ABM-BuOH), and water (ABM-H₂O). The ABM-EtOAc fraction exhibited a strongest inhibition against growth of human lung cancer cell A549 and human colorectal carcinoma cells HT-29 and COLO 205. Inhibition of cell cycle progression at G?/G₁ transition, increase of cells at the sub-G1 phase, and DNA ladders were observed in cells treated with ABM-EtOAc. The ABM-BuOH fraction showed the strongest inhibition of proinflammatory cytokines tumor necrosis factor (TNF)-α and interlukin (IL)-1β in stimulated RAW 264.7 macrophages. Further, ABM-EtOAc and ABM-BuOH inhibited cyclooxygenase (COX)-2 expression in A549 and HT-29 carcinoma cells, while COX-1 expression was not affected. These results reveal that both ABM-EtOAc and ABM-BuOH may aid the prevention of cancers and the applications in cancer chemotherapy.

Application of recursive SSA as data pre-processing filter for stochastic subspace identification

Loh, Chin-Hsiung,Liu, Yi-Cheng Techno-Press 2013 Smart Structures and Systems, An International Jou Vol.11 No.1

The objective of this paper is to develop on-line system parameter estimation and damage detection technique from the response measurements through using the Recursive Covariance-Driven Stochastic Subspace identification (RSSI-COV) approach. To reduce the effect of noise on the results of identification, discussion on the pre-processing of data using recursive singular spectrum analysis (rSSA) is presented to remove the noise contaminant measurements so as to enhance the stability of data analysis. Through the application of rSSA-SSI-COV to the vibration measurement of bridge during scouring experiment, the ability of the proposed algorithm was proved to be robust to the noise perturbations and offers a very good online tracking capability. The accuracy and robustness offered by rSSA-SSI-COV provides a key to obtain the evidence of imminent bridge settlement and a very stable modal frequency tracking which makes it possible for early warning. The peak values of the identified $1^{st}$ mode shape slope ratio has shown to be a good indicator for damage location, meanwhile, the drastic movements of the peak of $2^{nd}$ mode slope ratio could be used as another feature to indicate imminent pier settlement.

Linking Emergence of the Central Pacific El Niño to the Atlantic Multidecadal Oscillation

Yu, Jin-Yi,Kao, Pei-ken,Paek, Houk,Hsu, Huang-Hsiung,Hung, Chih-wen,Lu, Mong-Ming,An, Soon-Il American Meteorological Society 2015 Journal of climate Vol.28 No.2

Application of Block Diagonal Technique to a Hamiltonian Matrix in Performing Spin-splitting Calculations for GaN Wurtzite Materials

Chun-Nan Chen,Sheng-Hsiung Chang,Wei-Long Su,Wan-Tsang Wang,Hsiu-Fen Kao,Jen-Yi Jen,Yiming Li 한국물리학회 2012 THE JOURNAL OF THE KOREAN PHYSICAL SOCIETY Vol.60 No.3

The bulk inversion asymmetry (Dresselhaus) terms (i.e., B2, B1, and B01 terms) of wurtzite materials are determined. The 2 × 2 conduction band, 2 × 2 heavy-hole band, 2 × 2 light-hole band,and 2 × 2 crystal-field split-off hole band matrices of wurtzite semiconductors are developed and decoupled by using a block diagonal technique. Importantly, those 2 × 2 block diagonal matrices incorporate not only the interband coupling effect but also the bulk inversion asymmetry effect. Analytical expressions for the conduction and the valence band spin-splitting parameters and energies of GaN wurtzite materials are formulated by solving the block diagonal matrices. The presence of these terms is shown to include the spin-splitting phenomenon. The bulk inversion asymmetry (Dresselhaus) terms (i.e., B2, B1, and B01 terms) of wurtzite materials are determined. The 2 × 2 conduction band, 2 × 2 heavy-hole band, 2 × 2 light-hole band,and 2 × 2 crystal-field split-off hole band matrices of wurtzite semiconductors are developed and decoupled by using a block diagonal technique. Importantly, those 2 × 2 block diagonal matrices incorporate not only the interband coupling effect but also the bulk inversion asymmetry effect. Analytical expressions for the conduction and the valence band spin-splitting parameters and energies of GaN wurtzite materials are formulated by solving the block diagonal matrices. The presence of these terms is shown to include the spin-splitting phenomenon.

Initial Factors Influencing Duration of Hospital Stay in Adult Patients With Peritonsillar Abscess

Yu-Hsi Liu,Hsing-Hao Su,Yi-Wen Tsai,Yu-Yi Hou,Kuo-Ping Chang,Chao-Chuan Chi,Ming-Yee Lin,Pi-Hsiung Wu 대한이비인후과학회 2017 Clinical and Experimental Otorhinolaryngology Vol.10 No.1

Objectives. To review cases of peritonsillar abscess and investigate the initial clinical factors that may influence the duration of hospitalization. To determine the predictive factors of prolonged hospital stay in adult patients with peritonsillar abscess. Methods. Subjects were adults hospitalized with peritonsillar abscess. We retrospectively reviewed 377 medical records from 1990 to 2013 in a tertiary medical center in southern Taiwan. The association between clinical characteristics and the length of hospital stay was analyzed with independent t-test, univariate linear regression and multiple linear regression analysis. Results. The mean duration of hospitalization was 6.2±6.0 days. With univariate linear regression, a prolonged hospital stay was associated with several variables, including female gender, older ages, nonsmoking status, diabetes mellitus, hypertension, band forms in white blood cell (WBC) counts, and lower hemoglobin levels. With multiple linear regression analysis, four independent predictors of hospital stay were noted: years of age (P<0.001), history of diabetes mellitus (P<0.001), ratio of band form WBC (P<0.001), and hemoglobin levels (P<0.001). Conclusion. In adult patients with peritonsillar abscess, older ages, history of diabetes mellitus, band forms in WBC counts and lower hemoglobin levels were independent predictors of longer hospitalization.