One LTE LB and two conjoined LTE M/HB MIMO antennas with a compact symmetric frame structure at the short edge of the metal‐framed smartphone

Abstract The paper is an overview of issues related to the space creation of a building, possibilities of developing frame structure and connections of force distribution in the construction. In plane the force distribution can be compression, bending and tension. In space “enclosing” a geometric solid means space creation. In space as it is to be expected, the force distribution must be compression, bending and tension in two different directions at the same time. This can be really variant but in the case of surface or surface-like constructions generated by translations (and/or rotations) on one hand, there are some other surfaces, which cannot be generated by translations (and/or rotations), on the other hand, the dimension of the inside “forces” is not two but three (independent components of a two-by-two tensor either in the case of compression tension, or in the case of bending). By this, force distribution is more complicated in space than in plane.

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Regression-Based Channel Capacity for the Evaluation of 2×2 MIMO Antennas

IEICE Transactions on Communications ◽

10.1587/transcom.2016ebp3107 ◽

2017 ◽

Vol E100.B (2) ◽

pp. 323-335 ◽

Cited By ~ 1

Author(s):

Kazuhiro HONDA ◽

Takeshi KITAMURA ◽

Kun LI ◽

Koichi OGAWA

Keyword(s):

Channel Capacity ◽

Mimo Antennas

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A Spatial Fading Emulator for Evaluation of MIMO Antennas in a Cluster Environment

IEICE Transactions on Communications ◽

10.1587/transcom.e97.b.2127 ◽

2014 ◽

Vol E97.B (10) ◽

pp. 2127-2135 ◽

Cited By ~ 7

Author(s):

Tsutomu SAKATA ◽

Atsushi YAMAMOTO ◽

Koichi OGAWA ◽

Hiroshi IWAI ◽

Jun-ichi TAKADA ◽

...

Keyword(s):

Mimo Antennas ◽

Cluster Environment

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ON CREEP STRAIN OBSERVATION OF PRESTRESSED CONCRETE STATICALLY INDETERMINATE FRAME STRUCTURE CASTED IN SITE AND ITS CREEP STRESS AND STRAIN ANALYSIS

Journal of Structural and Construction Engineering (Transactions of AIJ) ◽

10.3130/aijs.59.131_1 ◽

1994 ◽

Vol 59 (459) ◽

pp. 131-141

Author(s):

Seiichi WATANABE

Keyword(s):

Creep Strain ◽

Prestressed Concrete ◽

Strain Analysis ◽

Frame Structure ◽

Stress And Strain ◽

Creep Stress

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Marine Healing Policy Frame Structure Analysis Using Text Mining: Comparison and Analysis of the Press and Journal Article

Journal of Tourism and Leisure Research ◽

10.31336/jtlr.2020.11.32.11.407 ◽

2020 ◽

Vol 32 (11) ◽

pp. 407-425

Author(s):

Gyung-Yeol Park ◽

A-Ran Nam

Keyword(s):

Text Mining ◽

Structure Analysis ◽

Journal Article ◽

Frame Structure ◽

The Press ◽

Comparison And Analysis ◽

Policy Frame

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Information technology. Telecommunications and information exchange between systems. High-level Data Link Control (HDLC) procedures. Frame structure

10.3403/00254062 ◽

1991 ◽

Keyword(s):

Information Technology ◽

Information Exchange ◽

Frame Structure ◽

Data Link ◽

Level Data ◽

High Level

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High-level data link control procedures. Specification for frame structure

10.3403/30309403 ◽

1976 ◽

Keyword(s):

Frame Structure ◽

Data Link ◽

Level Data ◽

Control Procedures ◽

High Level

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Optimal Sensor Placement Algorithm for Structural Damage Identification

Recent Patents on Engineering ◽

10.2174/1872212113666190110124551 ◽

2020 ◽

Vol 14 (1) ◽

pp. 69-81

Author(s):

C.H. Li ◽

Q.W. Yang

Keyword(s):

Structural Damage ◽

Damage Identification ◽

Sensor Placement ◽

Optimization Procedure ◽

Frame Structure ◽

Truss Structures ◽

Optimal Sensor Placement ◽

Structural Damage Identification ◽

Placement Algorithm ◽

Sensor Locations

Background: Structural damage identification is a very important subject in the field of civil, mechanical and aerospace engineering according to recent patents. Optimal sensor placement is one of the key problems to be solved in structural damage identification. Methods: This paper presents a simple and convenient algorithm for optimizing sensor locations for structural damage identification. Unlike other algorithms found in the published papers, the optimization procedure of sensor placement is divided into two stages. The first stage is to determine the key parts in the whole structure by their contribution to the global flexibility perturbation. The second stage is to place sensors on the nodes associated with those key parts for monitoring possible damage more efficiently. With the sensor locations determined by the proposed optimization process, structural damage can be readily identified by using the incomplete modes yielded from these optimized sensor measurements. In addition, an Improved Ridge Estimate (IRE) technique is proposed in this study to effectively resist the data errors due to modal truncation and measurement noise. Two truss structures and a frame structure are used as examples to demonstrate the feasibility and efficiency of the presented algorithm. Results: From the numerical results, structural damages can be successfully detected by the proposed method using the partial modes yielded by the optimal measurement with 5% noise level. Conclusion: It has been shown that the proposed method is simple to implement and effective for structural damage identification.

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