Deep Multiple Description Coding by Learning Scalar Quantization

In this paper, we propose a deep multiple description coding framework, whose quantizers are adaptively learned via the minimization of multiple description compressive loss. Firstly, our framework is built upon auto-encoder networks, which have multiple description multi-scale dilated encoder network and multiple description decoder networks. Secondly, two entropy estimation networks are learned to estimate the informative amounts of the quantized tensors, which can further supervise the learning of multiple description encoder network to represent the input image delicately. Thirdly, a pair of scalar quantizers accompanied by two importance-indicator maps is automatically learned in an end-to-end self-supervised way. Finally, multiple description structural dissimilarity distance loss is imposed on multiple description decoded images in pixel domain for diversified multiple description generations rather than on feature tensors in feature domain, in addition to multiple description reconstruction loss. Through testing on two commonly used datasets, it is verified that our method is beyond several state-of-the-art multiple description coding approaches in terms of coding efficiency.Comment: 8 pages, 4 figures. (DCC 2019: Data Compression Conference). Testing datasets for "Deep Optimized Multiple Description Image Coding via Scalar Quantization Learning" can be found in the website of https://github.com/mdcnn/Deep-Multiple-Description-Codin

The Producing Technology of Resistant Starch (RS) from Buckwheat Using Microwave Treatment

Resistant Starch (RS) has various functions in controlling the Glycemic Index (GI), lowering concentration of cholesterol and triglycerides, inhibiting fat accumulation, preventing colonic cancer, reducing gall stone formation, maintaining intestinal tract healthy and enhancing the absorption of minerals. Elevated RS in food is an important and effective approach for public health. RS is also an important material for industries. In this paper, the producing technologies of resistant starch from buckwheat were investigated. The results showed that the optimum parameters for producing technology of resistant starch from buckwheat using microwave treatment are microwave power at 540W, treatment time is 120s, Solid-to-liquid ratio 1:3, cold storage time 24h

The Extracting Technology of Polysaccharide from Tartary Buckwheat

Buckwheat (F. tartaricum Gaertn) has many functions of dietotherapy and health care, which are beneficial to the treatment of diabetes, hypertension, cardiovascular disease, anti-cancer and so on. Buckwheat polysaccharide is one of important functional ingredients of Buckwheat. In this paper, the extracting technologies of polysaccharide from Tartary buckwheat were investigated. The results showed that the optimum parameters for the extraction is solid to liquid ratio 1:20, temperature 85?, duration 120min, extraction for 2 times, alcohol concentration 80%

Translation of Personal Address in Peach Blossom Paradise

As a literary masterpiece, Peach Blossom Paradise has a variety of characters, whose personal address fully reflects the complex interpersonal relationship and diverse characters’ characteristics. This paper uses quantitative research methods to classify personal address in Peach Blossom Paradise into three categories: name address, personal address and kinship address, and sorts out the translation methods of each type of those personal address. The paper uses Nida Eugene’s functional equivalence theory to explore the rationale for the use of each translation method, so we can get the inspiration from it. Through data analysis, it is found that in the translation of personal address the translator employed a variety of translation methods, among which literal translation, free translation, transliteration and variation translation are the most commonly used, and recreation and omission are the supplements, thus achieving maximum equivalence to make the target reader understand the source text as well as the original reader of the text

End to End Performance Analysis of Relay Cooperative Communication Based on Parked Cars

Parking lots (PLs) are usually full with cars. If these cars are formed into a self-organizing vehicular network, they can be new kind of road side units (RSUs) in urban area to provide communication data forwarding between mobile terminals nearby and a base station. However cars in PLs can leave at any time, which is neglected in the existing studies. In this paper, we investigate relay cooperative communication based on parked cars in PLs. Taking the impact of the car's leaving behavior into consideration, we derive the expressions of outage probability in a two-hop cooperative communication and its link capacity. Finally, the numerical results show that the impact of a car's arriving time is greater than the impact of the duration the car has parked on outage probability.Comment: 7 pages, 7 figures, accepted by ICACT201

A Normalization Model for Analyzing Multi-Tier Millimeter Wave Cellular Networks

Based on the distinguishing features of multi-tier millimeter wave (mmWave) networks such as different transmit powers, different directivity gains from directional beamforming alignment and path loss laws for line-of-sight (LOS) and non-line-of-sight (NLOS) links, we introduce a normalization model to simplify the analysis of multi-tier mmWave cellular networks. The highlight of the model is that we convert a multi-tier mmWave cellular network into a single-tier mmWave network, where all the base stations (BSs) have the same normalized transmit power 1 and the densities of BSs scaled by LOS or NLOS scaling factors respectively follow piecewise constant function which has multiple demarcation points. On this basis, expressions for computing the coverage probability are obtained in general case with beamforming alignment errors and the special case with perfect beamforming alignment in the communication. According to corresponding numerical exploration, we conclude that the normalization model for multi-tier mmWave cellular networks fully meets requirements of network performance analysis, and it is simpler and clearer than the untransformed model. Besides, an unexpected but sensible finding is that there is an optimal beam width that maximizes coverage probability in the case with beamforming alignment errors.Comment: 7 pages, 4 figure