A practical method for evaluating parking area level of service

2013 ◽  
Vol 33 ◽  
pp. 1-10 ◽  
Author(s):  
Mehdi Moeinaddini ◽  
Zohreh Asadi-Shekari ◽  
Che Ros Ismail ◽  
Muhammad Zaly Shah
Keyword(s):  
Practical Method ◽  
Level Of Service

The role of differential phase contrast in electron microscopy

1978 ◽  
Vol 36 (1) ◽  
pp. 176-177
Author(s):  
E.M. Waddell ◽  
J.N. Chapman ◽  
R.P. Ferrier
Keyword(s):  
Phase Contrast ◽  
Practical Method ◽  
Position Vector ◽  
Differential Phase ◽  
Pure Phase ◽  
Differential Phase Contrast ◽  
The Difference ◽  
Image Position ◽  
First Moment

Dekkers and de Lang (1977) have discussed a practical method of realising differential phase contrast in a STEM. The method involves taking the difference signal from two semi-circular detectors placed symmetrically about the optic axis and subtending the same angle (2α) at the specimen as that of the cone of illumination. Such a system, or an obvious generalisation of it, namely a quadrant detector, has the characteristic of responding to the gradient of the phase of the specimen transmittance. In this paper we shall compare the performance of this type of system with that of a first moment detector (Waddell et al.1977).For a first moment detector the response function R(k) is of the form R(k) = ck where c is a constant, k is a position vector in the detector plane and the vector nature of R(k)indicates that two signals are produced. This type of system would produce an image signal given bywhere the specimen transmittance is given by a (r) exp (iϕ (r), r is a position vector in object space, ro the position of the probe, ⊛ represents a convolution integral and it has been assumed that we have a coherent probe, with a complex disturbance of the form b(r-ro) exp (iζ (r-ro)). Thus the image signal for a pure phase object imaged in a STEM using a first moment detector is b2 ⊛ ▽ø. Note that this puts no restrictions on the magnitude of the variation of the phase function, but does assume an infinite detector.

Flower roundabouts: estimation of capacity and level of service

2013 ◽  
Author(s):  
Marco Guerrieri ◽  
Dario Ticali ◽  
Ferdinando Corriere ◽  
Fabio Galatioto
Keyword(s):  
Level Of Service

Modeling the Level of Service of the Non-Motorized Vehicle Crossing the Signalized Intersection

CICTP 2020 ◽  
2020 ◽  
Author(s):  
Ye Yao ◽  
Xiaofei Ye ◽  
Zhen Yang ◽  
Qiming Ye ◽  
Chang Yang
Keyword(s):  
Signalized Intersection ◽  
Level Of Service

Analisis Kualitas Pelayanan Dalam Pelaksanaan Tera Dan Tera Ulang Alat Ukur, Timbang, Takar Dan Perlengkapannya (UTTP) Pada Bidang Perdagangan Dinas Koperasi, Perindustrian Dan Perdagangan Kabupaten Pacitan

2016 ◽  
Vol 3 (2) ◽  
pp. 159-173
Author(s):  
Susi Minarsih ◽  
Ary Sutrischastini
Keyword(s):  
Quality Of Service ◽  
Service Quality ◽  
Level Of Service ◽  
Research Use ◽  
Validity And Reliability ◽  
Analysis Instrument ◽  
Service Execution ◽  
Traditional Market ◽  
Convenience Sampling

The aims of this study are to measure the level of service quality and how to improve the quality of service execution in re-measurement tera and tera of UTTP in Commerce On duty Co-Operation, Industrial and Commerce Of Sub-Province of Pacitan. This research’s object is traditional market of Minulyo Pacitan as mains market in Sub-Province of Pacitan with 100 perpetrator people of sample as user/owner of UTTP (ukur,timbang, takar, dan perlengkapannya) with method intake of sampel by Convenience Sampling. The technique of collecting data uses questionnaires and direct interview. This research use qualitative analysis instrument test of validity and reliability to know valid or not and reliabel or not about the questions of questionnaire. Then, this research was done with Servqual method as instrument to do measurement of service quality. The measurement of service quality in Servqual method pursuant to five service dimension that is tangibles, responsiveness, realibility, assurance, and empathy. This research will be measured of gap 5 that is difference among performance and its expectation. Ad for yielded gap from a enumeration of Servqual 5 gap, -146 progressively lower him mount the quality of given service activities. Therefore, its needs the existence of priority repair of service quality, in this case is service of remeasurement tera and tera of UTTP at biggest difference or gap that is at variable of Responsiveness ( Energy Listen carefully) and attribute that has smallest difference that is – 0.44 at dimension question of variable of Tangibles ( Evidence Physical). Keyword: Quality Of Service, Method of Service Quality.

Pengaruh Kualitas Pelayanan Terhadap Kepuasan Nasabah Tabungan Britama Pada Bank BRI Cabang Fatmawati

Liquidity ◽  
2018 ◽  
Vol 1 (1) ◽  
pp. 72-80
Author(s):  
Viva Faronika ◽  
Asriyal Asriyal
Keyword(s):  
Quality Of Service ◽  
Customer Satisfaction ◽  
Service Quality ◽  
Acceptable Level ◽  
Level Of Service ◽  
Level Of Satisfaction ◽  
Service Policies ◽  
Improve Service Quality ◽  
Relationship Of

If the customer is greater than acceptable level of service, the cutomer is not satisfied. Conversely, if an acceptable level of service greater than the expectations of customers, the customer will be satisfied. This means that if Bank BRI branch Fatmawati can improve service quality to its customer it will affect the level of satisfaction. In this research found evidence that, in terms of the creation of quality services, Bank BRI branch Fatmawati is one of the branches that participate to implement the established policies and service in accordance with the exiting service standard in the banking world. Amount of influence the determination of quality of service policies applied by the Bank BRI branch Fatmawati indicated by r2. r2 value only 45 % and the rest 55 % influenced by other variables not studied. Meanwhile, the variable relationship of service quality to customer satisfaction can be seen from the values r = 0,67. This shows the value of the correlation coefficient between the variables of service quality to customer satisfaction. This means there are strong relationships between the independent variable X (quality of service) to the dependent variable Y (customer satisfaction). Since r = 0,67 (67 %) greater then 50 %.

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