Energy Efficiency of Network Cooperation for Cellular Uplink Transmissions

There is a growing interest in energy efficient or so-called "green" wireless communication to reduce the energy consumption in cellular networks. Since today's wireless terminals are typically equipped with multiple network access interfaces such as Bluetooth, Wi-Fi, and cellular networks, this paper investigates user terminals cooperating with each other in transmitting their data packets to a base station (BS) by exploiting the multiple network access interfaces, referred to as inter-network cooperation, to improve the energy efficiency in cellular uplink transmission. Given target outage probability and data rate requirements, we develop a closed-form expression of energy efficiency in Bits-per-Joule for the inter-network cooperation by taking into account the path loss, fading, and thermal noise effects. Numerical results show that when the cooperating users move towards to each other, the proposed inter-network cooperation significantly improves the energy efficiency as compared with the traditional non-cooperation and intra-network cooperation. This implies that given a certain amount of bits to be transmitted, the inter-network cooperation requires less energy than the traditional non-cooperation and intra-network cooperation, showing the energy saving benefit of inter-network cooperation.Comment: in Proceedings of the 2013 IEEE International Conference on Communications (IEEE ICC 2013), Budapest, Hungary, June 201

Research on the Image Culture — A Narrative Study on Jennifer Egan’s The Keep

Renovating the Gothic tradition by applying a male voice to narrate the story and by leaving it an open ending in The Keep, Jennifer Egan revitalizes the Gothic fiction and at the same time makes it her own. The metafictional narrative in the story is noticed by the interruptions of another character’s voice into the ongoing narrative of the main story. However, Egan’s tactics, do not achieve at the expense of character and story; all the characters in this fiction are imprisoned either physically or mentally. In The Keep, Egan takes a bird’s eye view of the image culture, it also concerns more about our connectedness with technology and how that connection changes the way that who we are to ourselves and who we are to each other. So often we are dealing with something ephemeral and virtual instead of actual beings, our measure of what they mean to communication is very different as well

Will Internet Use Increase Farmers’ Household Investment in Education? Micro Evidence from CHFS2019

Published in Agricultural Technology Economics, this study examines the impact of Internet use on rural households’ investment in child education and its mechanism, using data from China Household Finance Survey data 2019 (CHFS2019)

Cross-Domain Labeled LDA for Cross-Domain Text Classification

Cross-domain text classification aims at building a classifier for a target domain which leverages data from both source and target domain. One promising idea is to minimize the feature distribution differences of the two domains. Most existing studies explicitly minimize such differences by an exact alignment mechanism (aligning features by one-to-one feature alignment, projection matrix etc.). Such exact alignment, however, will restrict models' learning ability and will further impair models' performance on classification tasks when the semantic distributions of different domains are very different. To address this problem, we propose a novel group alignment which aligns the semantics at group level. In addition, to help the model learn better semantic groups and semantics within these groups, we also propose a partial supervision for model's learning in source domain. To this end, we embed the group alignment and a partial supervision into a cross-domain topic model, and propose a Cross-Domain Labeled LDA (CDL-LDA). On the standard 20Newsgroup and Reuters dataset, extensive quantitative (classification, perplexity etc.) and qualitative (topic detection) experiments are conducted to show the effectiveness of the proposed group alignment and partial supervision.Comment: ICDM 201

Quadratic Optimization for Nonsmooth Optimization Algorithms: Theory and Numerical Experiments

Nonsmooth optimization arises in many scientific and engineering applications, such as optimal control, neural network training, and others. Gradient sampling and bundle methods are two ef- ficient types of algorithms for solving nonsmooth optimization problems. Quadratic optimization (commonly referred to as QP) problems arise as subproblems in both types of algorithms. This thesis introduces an algorithm for solving the types of QP problems that arise in such methods. The proposed algorithm is inspired by one proposed in a paper written by Krzysztof C. Kiwiel in the 1980s. Improvements are proposed so that the algorithm may solve problems with addi- tional bound constraints, which are often required in practice. The solver also allows for general quadratic terms in the objective. Our QP solver has been implemented in C++. This thesis not only covers the theoretical background related to the QP solver; it also contains the results of numerical experiments on a wide range of randomly generated test problems