A fast and memory-efficient approach to NDN name lookup

2017 ◽  
Vol 14 (10) ◽  
pp. 61-69 ◽  
Author(s):  
Dacheng He ◽  
Dafang Zhang ◽  
Ke Xu ◽  
Kun Huang ◽  
Yanbiao Li
Keyword(s):  
Efficient Approach ◽  
Name Lookup ◽  
Memory Efficient

BFAST: High-Speed and Memory-Efficient Approach for NDN Forwarding Engine

2017 ◽  
Vol 25 (2) ◽  
pp. 1235-1248 ◽  
Author(s):  
Huichen Dai ◽  
Jianyuan Lu ◽  
Yi Wang ◽  
Tian Pan ◽  
Bin Liu
Keyword(s):  
High Speed ◽  
Efficient Approach ◽  
Forwarding Engine ◽  
Memory Efficient

Self-Intersection Free and Topologically Faithful Slicing of Implicit Solid

2011 ◽  
Author(s):  
Pu Huang ◽  
Charlie C. L. Wang ◽  
Yong Chen
Keyword(s):  
Rapid Prototyping ◽  
Geometric Error ◽  
Shape Error ◽  
Contour Extraction ◽  
Line Segments ◽  
Binary Images ◽  
Efficient Approach ◽  
Implicit Solid ◽  
The Given ◽  
Memory Efficient

We present a robust and efficient approach to directly slicing implicit solids. Different from prior slicing techniques that reconstruct contours on the slicing plane by tracing the topology of intersected line segments, which is actually not robust, we generate contours through a topology guaranteed contour extraction on binary images sampled from given solids and a subsequent contour simplification algorithm which has the topology preserved and the geometric error controlled. The resultant contours are free of self-intersection, topologically faithful to the given r-regular solids and with shape error bounded; therefore, correct objects can be fabricated from them by rapid prototyping. Moreover, since we do not need to generate the tessellated B-rep of given solids, our approach is memory efficient — only the binary image and the finest contours on one particular slicing plane need to be stored in-core. Our method is general and can be applied to any implicit representations of solids.

Technology, Lifelong Learning, and Effective Foreign Language Instruction Under the Memory Efficient Approach

2011 ◽  
pp. 73-97 ◽  
Author(s):  
P. Tokoyo Kang
Keyword(s):  
Foreign Language ◽  
Lifelong Learning ◽  
Learning Theory ◽  
Language Instruction ◽  
Learning Objective ◽  
Foreign Language Instruction ◽  
Instructional Tools ◽  
Efficient Approach ◽  
Language Classroom ◽  
Memory Efficient

This chapter presents a method for foreign language (FL) teachers to implement currently available technologies as instructional tools in a FL language classroom using the memory efficient approach (MEA) to enhance instruction, and help students to become lifelong FL learners. Providing historical backgrounds of the FL acquisition or learning theory as well as technological implementation for FL instruction, the chapter suggests MEA with eclectic methodology for FL instruction. Under the MEA, the methods for “skill-using” and “skill-getting” (Rivers, 1985) are employed; thus, appropriate methods as well as appropriate instructional tools—technological and nontechnological—are selected according to the learning objective or goal. In addition, introducing emerging technologies that may be utilized for instruction in the FL area, the chapter will demonstrate a method to implement technologies in advanced Japanese courses as well as in elementary Japanese courses using MEA.

scholarly journals A Memory-Efficient Approach to the Scalability of Recommender System With Hit Improvement

IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 67070-67081 ◽  
Author(s):  
Zhenyu Zhao ◽  
Yiqiang Sheng ◽  
Ming Zhu ◽  
Jinlin Wang
Keyword(s):  
Recommender System ◽  
Efficient Approach ◽  
Memory Efficient
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