Direct support and general support maintenance repair parts and special tools lists (including depot maintenance repair parts and special tools lists) : truck, lift, fork, diesel engine, pneumatic-tired wheels, rough terrain, 10,000 lb. capacity, 24 in. load center, Army model MHE 199, NSN 3930-00-903-0899 ....

Includes index.

Direct support and general support maintenance repair parts and special tools lists (including depot maintenance repair parts and special tools lists) : truck, lift, fork, diesel engine, pneumatic tired wheels, rough terrain, 6,000 lb. capacity, 24 in. load center ...

"Army model MHE 200, NSN 3930-00-903-0900, Anthoney model MLT-6, NSN 3930-01-054-3831, Anthoney model MLT-6 with ROPS and Army model MHE 202, NSN 3930-00-937-0220, Chrysler model MLT-6CH, NSN 3930-01-053-4823, Chrysler model MLT-6CH with ROPS and Army model MHE 222, NSN 3930-00-419-5744, Athey model ARTFT-6, NSN 3930-01-054-3830, Athey model ART FT-6 with ROPS."

Organizational maintenance repair parts and special tools lists : truck, lift, fork, diesel engine, pneumatic-tired wheels, rough terrain, 10,000 lb. capacity, 24 in. load center, Army model MHE 199, NSN 3930-00-903-0899, Pettibone-Mulliken model RTL10 ...

Includes index.

Technical manual, direct support and general support maintenance manual : truck, lift, fork, diesel engine, pneumatic tired wheels, rough terrain, 10,000 lb capacity ....

Includes index.

Operator and organizational maintenance manual : truck, lift, fork, diesel engine, pneumatic tired wheels, rough terrain, 10,000 lb. capacity, 24 inch load center (Pettibone-Mulliken model RTL10, Army model MHE 199), FSN 3930-903-0899 ....

"June 1971."

Direct support and general support maintenance manual : truck, lift, fork, diesel engine, pneumatic tired wheels, rough terrain, 10,000 lb capacity, 24 inch load center, Pettibone-Mulliken model RTL10, Army model MHE 199 ....

"June 1971."

Organizational maintenance repair parts and special tools list : truck, forklift, deisel engine driven, pneumatic tired wheels, rough terrain, 6,000 lb. capacity 24" load center, Anthony model MLT-6-2, Army model MHE 230, NSN 3930-00-327-1575.

"November 1982."

Operator's manual : truck, forklift, DED, pneumatic tire, articulated, frame steer, 4,000 lb. capacity, rough terrain, Army model MHE 237, (J.I. Case model M4K), (NSN 3930-01-076-4237).

Includes index.

Operator and organizational maintenance manual : truck, lift, fork; diesel engine, pneumatic tired wheels, rough terrain, 6,000 lb. capacity, 24" load center, Anthony model MLT 6-2, Army model MHE-230, NSN 3930-00-327-1575.

Includes index.

Rainfall sampling on rugged terrain /

Caption title.

The relationship of mask angles to terrain geometry and its applicability to military problems (Project CATVAR) Contract no. Internal research 86-119.

Mode of access: Internet.

Terrain features of drainage basins in the Sierra Nevada west-side snow zone /

Mode of access: Internet.

Terrain mask angles.

"Presented at Joint session of AAAS Section E and Geological Society of America Symposium on Quantitative Terrain Studies, Section E, Chicago, Illinois, December 28, 1959."

A multiresolution terrain model for efficient visualization query processing

Multiresolution Triangular Mesh (MTM) models are widely used to improve the performance of large terrain visualization by replacing the original model with a simplified one. MTM models, which consist of both original and simplified data, are commonly stored in spatial database systems due to their size. The relatively slow access speed of disks makes data retrieval the bottleneck of such terrain visualization systems. Existing spatial access methods proposed to address this problem rely on main-memory MTM models, which leads to significant overhead during query processing. In this paper, we approach the problem from a new perspective and propose a novel MTM called direct mesh that is designed specifically for secondary storage. It supports available indexing methods natively and requires no modification to MTM structure. Experiment results, which are based on two real-world data sets, show an average performance improvement of 5-10 times over the existing methods.