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Includes index. ; Running title: MEPCOM Pam 600-5. ; Mode of access: Internet.

The Military Entrance Processing Station (MEPS) of Excellence Program (MOE) is a program to improve operations through recognition and motivation and to sustain excellence in MEPSs core services. Quantitative MOE program data was studied using a hybrid approach of descriptive statistics, statistical process control, and logistic regression to gain relevant insights with respect to the program objectives of improvement, excellence, motivation, and recognition. Future work should employ information such as climate surveys, worker performance reports, and the civilian awards program for further insights into the MOEs effectiveness as a motivator.

Applicant processing at Military Entrance Processing Stations (MEPS) is conducted via a batch arrival process by which all applicants arrive at the beginning of the processing day. Pursuit of alternate processing scenarios has never progressed beyond the pilot stage, possibly because the Command lacks a general decision support model to evaluate the impacts of proposed policies on applicant processing operations. This research creates a discrete event simulation of MEPS applicant processing operations and applies the model to three alternative applicant processing scenarios: split-shift, appointment- based, and express-lane. Results are examined and compared to benchmarks using multiple performance measurements.

"This regulation supersedes MEPCOM regulation 18-5, 1 May 1979." ; Mode of access: Internet.

Description based on: 1988-89. ; Mode of access: Internet. ; "Military Entrance Processing Command"--.

Shipping list no.: 86-324-P. ; "DoD 1304.12Y." ; Includes indexes. ; "U.S. Military Entrance Processing Command"--P. [2] of cover. ; Mode of access: Internet.

"U.S. Military Entrance Processing Command"--P. [2] of cover. ; Shipping list no.: 90-021-P. ; Mode of access: Internet.

Prepared for: U.S. Military Entrance Processing Command (USMEPCOM) 2834 Green Bay Road North Chicago, IL 60064-3091 ; The U.S. Military Entrance Processing Command (USMEPCOM) is charged with screening all applicants for enlistment into the U.S. Armed Forces according to the qualification standards of each of the four services. These applicants are screened and processed at one of 65 Military Entrance Processing Stations (MEPS) distributed throughout the United States, to include Alaska, Hawaii, and Puerto Rico. Archived data exists that describes the daily work each site has experienced in the broad categories such of medical, testing, and processing. The workload between stations can vary widely, as certain sites serve areas with denser populations of applicants. The workload at each station also tends to vary according to time of year, as well as time of month. This workload variability at and between MEPS presents unique challenges for deciding on optimal capacity levels. We develop a short list of candidate locations that exhibit particularly high congestion relative to other MEPS and regions. Namely, 7th Battalion in California and 10th Battalion in Florida each contain several MEPS that rank highly with respect to relative congestion. Another regional area with substantial relative congestion includes MEPS from 4th and 12 Battalions. Finally, individual MEPS such an Minneapolis and Columbus exhibit consistent high relative congestion in the medical technician workflow, while Denver and Montgomery exhibit high congestion in the human resources workflow. ; U.S. Military Entrance Procession Command (2USMEPCOM) 834 Green Bay Road, North Chicago, IL 60064-3091 ; Approved for public release; distribution is unlimited.

A study was conducted at a military station from Dec 2000 to Feb 2001, to study the exact immunisation coverage for six vaccines under Expanded Programme of Immunization (EPI Vaccines) and Hepatitis B vaccine and to find out unimmunized children. A house to house search was conducted and all the children below five years of age were included in the sample. Children of officers were excluded from the study. Overall 84.2% children were completely immunized for six EPI vaccines and 22.4% children were found to be immunised against Hepatitis B. The coverage for individual EPI vaccines is BCG (93%), DPT/OPV (91%), Measles (88%), DPT/OPV(B) (83%). The immunization coverage declined progressively for the vaccines given at higher ages from 93% for BCG given at birth, to 83% for DPT/OPV (B) given at 18 months of age. The immunisation coverage increased progressively with rank, being lowest in Sepoys (80.3%) and highest among Junior Commissioned Officers (97%). No statistically significant difference was found between static and field units, and the presence or absence of a Regimental Medical Officer in a unit for the immunization coverage. The study indicates that immunization coverage in the station is satisfactory, however efforts are needed to increase the vaccine coverage in the station.

This research deals with an energy efficient network for military mobile base station placement. The proposed method is based on minimizing the energy loss of military communication networks where the base station is moving along a preset path and the users are constantly moving in an independent speed and direction. It takes into account the free space loss and the knife edge effect for the energy loss to establish a path weight for the shortest path model. Then, it evaluates the neighboring points to the base station for the energy loss of the network in order to find the position at which the minimum energy loss occurs. The results show a clear energy saving advantage when compared to Lloyd-Max's method

One of the important breakthroughs, image processing is the stand alone, non-human image understanding system (IUS). The task of understanding images becomes monumental as one tries to define what understanding really is. Both pattern recognition and artificial intelligence are used in addition to traditional signal processing. Scene analysis procedures using edge and texture segmentation can be considered as the early stages of image understanding process. Symbolic representation and relationship grammers come at subsequent stages. Thus it is not reasonable to put a man into a loop of signal processing at certain sensors such as remotely piloted vehicles, satellites and spacecrafts. Consequently smart sensors and semi-automatic processes are being developed. Land remote sensing has been another important application of the image processing. With the introduction of programmes like Star Wars this particular application has gained a special importance from the Military's point of view. This paper provides an overview of digital image processing and explores the scope of the technology of remote sensing and IUSs from the Military's point of view. An example of the autonomous vehicle project now under progress in the US is described in detail to elucidate the impact of IUSs.