Lewin Behavior Model-Based Study on Influence Factors of Individuals to Mobile Service Demand

How to fmd main influence factors of individuals to mobile service demand is investiga- ted. The empirical research is conducted in the sample of high-value customers in China mobile market. Based on Lewin behavior model, this pa- per establishes factors-matrix from personal and environmental dimensions. Relationships among multiple factors are tested in the structural equa- tion model and their impacts on customers＇ de- mands are elaborated. Findings indicate that opera- tional convenience and business brand image have significant effects on sample users＇ demands. Fur- thermore, annual income, gender, occupation, the needs of access to information and the needs of enriching and improving social relationships are al- so important factors for high-value users. The re- suits may provide further insights into mobile service demand and the model can be popularized to other behavior researches.

Energy Aware Spectrum Access in Cognitive Radio Networks with Imperfect Channel Sensing

Due to the problem of spectrum underuti-lization and energy inefficiency in wireless commu-nications, the research on energy efficient Cogni-tive Radio Networks （CRNs） has received signifi-cant attention in both industry and academia. In this paper, we consider the problem of optimal spectrum selection and transmission parameters de-sign with the objective of minimizing energy con-sumption in CRNs. Since the system state cannot be directly observed due to miss detections and estimation errors, we formulate the optimal spec-trum access problem as a Partially Observable Markov Decision Process （POMDP）. In particular, the proposed scheme selects the optimal spectrum, modulation and coding scheme, transmission pow-er, and link layer frame size in each time slot ac-cording to the belief state, which captures all the history information of past actions and observa- tions. The optimal policy can be acquired by sol-ving POMDP problem with linear programming based algorithm Sinmlation results show that sig-nificant energy savings can be achieved by the proposed scheme.

Data service oriented networking analysis of TD-LTE system

The development of mobile internet and internet of things brings the vigorous developing data service, which increases need of bandwidth sharply. Operators strive to develop the data service oriented LTE(long term evolution)technology, especially TD-LTE (time division-LTE) technology adopting the spectral asymmetric. This paper analyzed details of TD-LTE system networking, and studied the feasibility of TD-LTE and TD-SCDMA(TD-synchronous code division multiple access) system with the same spectrum. At last, the paper provided suggestions on networking of TD-LTE system.

Automatic Satisfaction Analysis in Call Centers Considering Global Features of Emotion and Duration

Analysis of customers＇ satisfaction provides a guarantee to improve the service quality in call centers.In this paper,a novel satisfaction recognition framework is introduced to analyze the customers＇ satisfaction.In natural conversations,the interaction between a customer and its agent take place more than once.One of the difficulties insatisfaction analysis at call centers is that not all conversation turns exhibit customer satisfaction or dissatisfaction. To solve this problem,an intelligent system is proposed that utilizes acoustic features to recognize customers＇ emotion and utilizes the global features of emotion and duration to analyze the satisfaction. Experiments on real-call data show that the proposed system offers a significantly higher accuracy in analyzing the satisfaction than the baseline system. The average F value is improved to 0. 701 from 0. 664.

A Novel Uplink Inter-Cell Interference Management Method for TD-LTE System

For OFDM based system with Single-Frequency Networking(SFN) ,ICI(inter-cell interference) ,especially uplink ICI,becomes a bottleneck to improve system performance. Since the conventional interference management scheme with OI(overload indicator) can not show the instantaneous ICI,this paper proposes a method to reduce ICI by utilizing channel reciprocity of TD-LTE system. In the proposed scheme,UE shall make a decision whether to reduce its power or not after predicting the instantaneous ICI level according to the scheduling results. The system simulation results show that the proposed scheme can reduce the uplink ICI effectively and improve the system performance such as system spectrum efficiency,10% user throughput,50% user throughput,packet drop rate etc. significantly while keep 5% cell edge user throughput loss less than 5%. For example,the proposed scheme improved system spectrum efficiency about 50% and 50% user throughput gain is larger than 140%. Meanwhile,the proposed scheme controls the system ICI level and variance effectively. The mean system ICI level and variance are reduced by 4.5dB and 18dB respectively. The proposed scheme can be joint implemented with those existing ICI mitigation methods such as(soft) frequency reuse,power control etc. to further improve the system performance.

Generating Decision Trees Method Based on Improved ID3 Algorithm

The ID3 algorithm is a classical learning algorithm of decision tree in data mining.The algorithm trends to choosing the attribute with more values,affect the efficiency of classification and prediction for building a decision tree.This article proposes a new approach based on an improved ID3 algorithm.The new algorithm introduces the importance factor λ when calculating the information entropy.It can strengthen the label of important attributes of a tree and reduce the label of non-important attributes.The algorithm overcomes the flaw of the traditional ID3 algorithm which tends to choose the attributes with more values,and also improves the efficiency and flexibility in the process of generating decision trees.

Extension of Switching Costs Antecedents Based on Customers＇ Social Ties

The effects of customers' social ties on switching costs have recently attracted researchers' attention.This study formally included customers' social ties as a new antecedent to supplement those elucidated by Burnham in 2003.Through empirical research,this study successfully verified the reliability and validity of items created to measure social ties,and it demonstrated the facilitating effects of social ties as an antecedent on customers' procedural and relational switching costs.Finally,the study lists managerial implications aimed at retaining customers through knowledge of this added antecedent.

Reputation-based joint optimization of user satisfaction and resource utilization in a computing force network

Under the development of computing and network convergence,considering the computing and network resources of multiple providers as a whole in a computing force network(CFN)has gradually become a new trend.However,since each computing and network resource provider(CNRP)considers only its own interest and competes with other CNRPs,introducing multiple CNRPs will result in a lack of trust and difficulty in unified scheduling.In addition,concurrent users have different requirements,so there is an urgent need to study how to optimally match users and CNRPs on a many-to-many basis,to improve user satisfaction and ensure the utilization of limited resources.In this paper,we adopt a reputation model based on the beta distribution function to measure the credibility of CNRPs and propose a performance-based reputation update model.Then,we formalize the problem into a constrained multi-objective optimization problem and find feasible solutions using a modified fast and elitist non-dominated sorting genetic algorithm(NSGA-II).We conduct extensive simulations to evaluate the proposed algorithm.Simulation results demonstrate that the proposed model and the problem formulation are valid,and the NSGA-II is effective and can find the Pareto set of CFN,which increases user satisfaction and resource utilization.Moreover,a set of solutions provided by the Pareto set give us more choices of the many-to-many matching of users and CNRPs according to the actual situation.

Computing-aware network (CAN): a systematic design of computing and network convergence

The coverage of network resources is increasingly extensive,and computing resources have likewise gradually become fundamental infrastructures,providing ubiquitous computing services.However,in wide area networks(WANs),the underlying network and computing resources are not closely investigated or co-designed,and there are still problems reflected in slow computing service scheduling,inflexible data distribution,and inefficient data transmission.

Coordination of networking and computing: toward new information infrastructure and new services mode

Computing,serving as the cornerstone of information processing,plays a pivotal role in the digital service era.The"network"and"computing,"responsible for information transmission and processing respectively,traditionally belong to different stakeholders and have evolved separately.However,the recent trend toward the coordination and integration of computing and networks has garnered significant attention from both industry and academia.Concepts such as"computility network"and"computing force network"have emerged,and the International Telecommunication Union-Telecommunication Standardization(ITU-T)has initiated efforts to develop standards for the coordination of networking and computing(CNC),focusing on the architecture and framework.

A Task Offloading Scheme in Maritime Edge Computing Network

Maritime communication network is affected by many factors such as meteorological environment,resource constraints,communication distance,and so on,resulting in task packet loss,failure,and node overload when the task is offloaded and executed.In this paper,in order to improve quality of service(QoS)of maritime edge computing networks,a task offloading scheme is proposed.Considering the characteristic of the ship,we analyze ship position and network connectivity,and the ship motion model is constructed.The task offloading link formed with ship as node.With delay and energy consumption as constraints,the revenue function for task offloading path is designed.The function comprehensively considers network resources,channel transmission and node execution ability,thereby achieving the reliable task offloading.Simulation results prove that the proposed scheme can effectively improve the success rate of task execution,reduce the network packet loss rate and ensure the network resources load balancing,which effectively improve the QoS of maritime edge computing networks.

The study of the transmission of GHz waves in the oceanic low altitude waveguide in the PEM-based gridded method

A parabolic equation method （PEM）-based discrete algorithm is proposed and is used to obtain the field distribution in the evaporation duct space. This method not only improves the computing speed, but also provides the flexibility to adjust the simulation accuracy. Numerical simulation of the wave propagation in the oceanic waveguide structure is done. In addition, the initial field distribution and progressive steps are determined. The loss model in the waveguide is solved through the numerical solution. By comparing the characteristics of the radio wave propagation in the duct and in the normal atmospheric structure, we analyses the radio transmission over the horizon detection in the oceanic waveguide.

Corporate Social Capital and Business Model Innovation： The Mediating Role of Organizational Learning

Existing studies demonstrate that corporate social capital can not only enable a firm to gain access to heterogeneous information and resources, but may also facilitate the establishment of behavioral norms, communication models and mutual-trust platforms with stakeholders in its social network. As a result, corporate social capital drives organizational changes and has the potential to boost business model innovation. This paper recognizes organizational learning as a mediating mechanism that transforms corporate social capital into business model innovation. Using survey data collected from 164 Chinese firms, we tested the relationship between corporate social capital and business model innovation, as well as the mediating effect of organizational learning. Our findings clearly show how corporate social capital flows through organizational leaming efforts to business model innovation.

Robust minimum-variance time-reversal beamforming for target detection and localization in uncertain environment

The target detection and localization in uncertain environment with robust time reversal （TR） technique was investigated. TR is a physical process as well as a method of signal processing. Therefore, it is natural to perform beamforming via TR, i.e., TR beamforming （TRBF）. To reduce the effects of environmental uncertainty on TR spatio-temporal focusing, transmitting TRBF with modeled instead of physical probe source was studied and robust minimum-variance receiving TRBF with diagonal loading was put forward. Both of them were applied to the detection and distance estimation of the target, which was dealt with in a waveguide experiment. The experimental results show the validity of the methods in uncertain environment.

Insight into excitation wavelength and hotspot effect of noble metal nanoparticles dimer

A proper excitation wavelength and strong hot-spot effect are of great importance for the application of surface-enhanced Raman spectroscopy(SERS)in the field of biochemistry.As a popular SERS substrate,noble metal nanoparticles dimer is analyzed systematically in this paper.The hot-spot effect and the resonance peak position with varying geometric parameters of metal nanoparticles are investigated.Moreover,the excitation wavelength of bimetallic structure is discussed as well.The conclusions can provide reference for the selection of metal material at different excitation wavelengths.

Design and analysis of Wedge-enhanced Raman spectroscopy substrate

Here,a novel Au Wedge-enhanced Raman spectroscopy(WERS)substrate is proposed.The electric field enhancement factor and the effective mode field radius with varying geometry parameters are investigated.The proper excitation wavelength 633 nm is obtained.The practical application of WERS substrate is discussed.The Au WERS not only can provide a continuous extremely highly localized electric field as surface-enhanced Raman scattering(SERS)hotspots,but also can offer 10 orders of magnitude of SERS enhancement factor.The corresponding results reveal that WERS substrate will be widely applied in optics,biology,chemistry and other fields.