翻译研究中的可译性范畴和再现度范畴

构建可译性范畴和再现度范畴的概念框架,有助于明确研究的对象及其性质。在可译性范畴内讨论了可译、不可译、可译度和可译化的概念及可译度差异;在再现度范畴下证明了意义再现的优先顺序是“语用意图+言语意义+语言意义”>“语用意图+言语意义”>“语用意图”,实现左侧意义的译文再现度高于右侧。可译性是相对目标文本而言的原文本要素的属性,而再现度则是相对原文本而言的目标文本的对应度。再创造的相关理论只是更多地关注语用意图的呈现,其实也是再现的一种形式。

Visual object-oriented application for lane following on intelligent highway system

A visual object-oriented software for lane following on intelligent highway system (IHS) is proposed. According to object-oriented theory, 3 typical user services of self-check, transfer of human driving and automatic running and abnormal information input from the sensors are chosen out. In addition, the functions of real-time display, information exchanging interface, determination and operation interweaving in the 3 user services are separated into 5 object-oriented classes. Moreover, the 5 classes are organized in the visual development environment. At last, experimental result proves the validity and reliability of the control application.

Out-of-core clustering of volumetric datasets

In this paper we present a novel method for dividing and clustering large volumetric scalar out-of-core datasets. This work is based on the Ordered Cluster Binary Tree (OCBT) structure created using a top-down or divisive clustering method. The OCBT structure allows fast and efficient sub volume queries to be made in combination with level of detail (LOD) queries of the tree. The initial partitioning of the large out-of-core dataset is done by using non-axis aligned planes calculated using Principal Component Analysis (PCA). A hybrid OCBT structure is also proposed where an in-core cluster binary tree is combined with a large out-of-core file.

Scaling Factor Optimization of Turbo-Polar Iterative Decoding

In this paper, we investigate the weighted iterative decoding to improve the performance of turbo-polar code. First of all, a minimum weighted mean square error criterion is proposed to optimize the scaling factors(SFs). Secondly, for two typical iterative algorithms,such as soft cancellation(SCAN) and belief propagation(BP) decoding, genie-aided decoders are proposed as the ideal reference of the practical decoding. Guided by this optimization framework, the optimal SFs of SCAN or BP decoders are obtained. The bit error rate performance of turbo-polar code with the optimal SFs can achieve 0.3 dB or 0.7 dB performance gains over the standard SCAN or BP decoding respectively.

An FPGA-based LDPC decoder with optimized scale factor of NMS decoding algorithm

Considering that the hardware implementation of the normalized minimum sum(NMS)decoding algorithm for low-density parity-check(LDPC)code is difficult due to the uncertainty of scale factor,an NMS decoding algorithm with variable scale factor is proposed for the near-earth space LDPC codes(8177,7154)in the consultative committee for space data systems(CCSDS)standard.The shift characteristics of field programmable gate array(FPGA)is used to optimize the quantization data of check nodes,and finally the function of LDPC decoder is realized.The simulation and experimental results show that the designed FPGA-based LDPC decoder adopts the scaling factor in the NMS decoding algorithm to improve the decoding performance,simplify the hardware structure,accelerate the convergence speed and improve the error correction ability.

A Study on the Untranslatability of Classical Chinese Poems and Untranslatability Compensation

Classical Chinese poems（CCP） is regarded as the inheritance and treasure of Chinese culture. CCP translation, on one hand, makes us have access to explore the linguistic charming and the cultural value of classical Chinese poems; on the other hand, it provides an opportunity to transmit Chinese classical culture into western culture. While translatability of CCP translation, coupled with its untranslatability is considered a contentious topic in translation circle. Admittedly, in the process of CCP translation, some problems or barriers turn out to be our stumbling stone. But generally speaking, most of the poetry are translatable and untranslatability can be transformed into translatability with certain strategies. This thesis have compared the similarities and differences between Chinese and western poems to analyze the reasons why CCP can or cannot be translated and lays much emphasis on untranslatability as well as the compensation of untranslatability. Lastly, foreignization and domestication are recommended as two strategies in CCP translation when untranslatability occurs.

A novel soft reliability-based iterative majority-logic decoding algorithm with uniform quantization

In this paper, a novel soft reliability-based iterative majority-logic decoding algorithm with uniform quantization is proposed for regularly structured low density parity-check(LDPC) codes. A weighted measure is introduced for each check-sum of the parity-check matrix and a scaling factor is used to weaken the overestimation of extrinsic information. Furthermore, the updating process of the reliability measure takes advantage of turbo-like iterative decoding strategy. The main computational complexity of the proposed algorithm only includes logical and integer operations with the bit uniform quantization criterion. Simulation results show that the novel decoding algorithm can achieve excellent error-correction performance and a fast decoding convergence speed.