Mobile Advertising Service Based on 4R Mode

As people own more and more various smart devices, providing advertising to those devices has become a lucrative platform for different advertisement providers. However, the way advertisements are delivered to customers＇ smart devices needs to be improved. Many variables determine the most effective way to provide the mobile advertisement to the end-user. So a mobile advertising service based on the 4R model is needed The correct time, location, contents and target device to make the mobile advertising interesting and also useful for the customers. need to be determined in order for the advertisement to be contextual and the most effective. The 4R model is beneficial for the advertisers and the end-users alike.     

Ranking Approach for the User Story Prioritization Methods

The AHP （analytic hierarchy process） has been applied in many fields and especially to complex engineering problems and applications. AHP is capable of structuring decision problems and finding mathematically determined judgments built on knowledge and experience. This suggests that AHP should prove useful in agile software development, where complex decisions occur routinely. This paper describes a ranking approach to help stakeholders select the best prioritization method for prioritizing the user stories.     

Research on user for LTE fem pairing algorithm tocell uplink

In this article, a new simulated annealing based bit error rate pairing scheduling （SA-BPS） algorithm for LTE femtocell uplink virtual multiple input multiple output （V-MIMO） systems is proposed, which uses Round Robin （RR） criterion to decide the first user, and simulated annealing （SA） Mgorithm with objective function of bit error rate （BER） is suggested to decide the pairing users. The SA-BPS is considered not only to be used for inner layer user pairing within femtocell user equipments （HUEs） to increase spectrum efficiency, but also to be used for cross layer user pairing between HUEs and macrocell user equipments （MUEs） to cancel the cross layer interference from MUEs to HUEs. As a growth control coefficient is used in SA-BPS to control the growth of average BER of users in the pairing group, rapid user BER deterioration can be prevented by adopting a proper coefficient. Simulation results show that, the SA-BPS outperforms RPS, DPS, and the conventional SA algorithm in terms of BER performance, whether used for inner layer user pairing or cross layer user pairing. Also, the mode switching signal to interference ratio （SIR） threshold between inner and cross layer user pairing are obtained by simulation in three cross layer interference power distribution scenarios.     

The Impact of Experience and Perception on the Efficiency of E-procurement in Malaysia

The technology of E-procurement becomes more popular in many developed countries due to its accuracy in decision making for big projects that enhance the public bidding process for development projects in any country. The experience of employees who operate the system of E-procurement and the perception of users who bid for projects are essential to ensure the efticiency of procurement and the whole bidding process for public projects. This paper examined the impact of employee＇s experience on the efficiency of E-procurement systems in public agencies. In addition, we attempt to examine the perception factor of using E-procurement systems with regard to users in the seller side. A survey was conducted to identify the impact of experience and perception on the efficiency towards adoption and use of E-procurement system among users who working in firms participated in online bidding for public agencies projects, and employees who are working in E-procurement department in government administrations Malaysian government. A total of 80 questionnaires were collected and the data were analyzed to look at the level of the impact of experience and perception in E-procurement users. The general findings indicate a positive attitude experience and perception among the users in using the E-procurement.     

On spam detection based on cognitive pattern recognition

A method of spam detection, based on cognitive pattern recognition, had been proposed. The connection between Email category and cognition of Email user interest within life and work, had been analyzed. Under the guidance of cognitive pattern recognition theory, the mechanism of spam detection, based on intelligent cognition of Email user interest within life and work, had been discussed. Then the spam detection algorithm and its concrete implementation was given. Experimental results demonstrate that the spare detection algorithm has a good learning ability, scalability, and a good ability to achieve high recognition accuracyn     

Movie browsing system based on character and emotion

A variety of research is in progress to detect wanted scenes from videos. A method of detecting scenes wanted by a user through scene rearrangement based on calculated visual similarity is limited in that such a method does not reflect elements along the storyline through which a user remembers a movie. A movie’s story is built up by characters, and such build-up is closely related with emotions of characters in a film. A movie browsing system based on storyline is executable by applying characters and those characters’ emotions. Thus, methods of extracting key characters in each scene and of clustering scenes through extraction of emotion vectors from dialogues in each scene are hereby suggested. This paper also proposes to develop a movie browsing method and a system based on emotions of characters.     

基于全局/局部共现词对分布的汉越双语新闻事件线索分析

针对汉越双语新闻事件线索分析,提出了基于全局/局部共现词对分布的汉越双语事件线索生成方法。该方法首先将新闻话题词语分布作为全局词语表征全局事件,然后用一定时间粒度下新闻片段特有的时间、人物、地点等事件元素作为局部词语,分析新闻片段中全局词语和局部词语的共现关系,将全局/局部词语的共现规律作为监督信息,结合RCRP算法和汉越双语新闻的对齐语料,构建有监督话题生成主题模型,获得相应时间跨度下代表事件发展进程的子话题分布,通过子话题的分布反映事件发展的线索,从而构建出在线汉越双语事件线索生成模型。实验在汉越混合新闻数据集上进行,事件线索生成对比实验结果证明了提出的方法的有效性。
     

Performance Evaluation of Antenna Receive Diversity in SlMO-OFDM System over Rayleigh Fading Channel

This paper represents a comparative performance evaluation of different diversity combining techniques for a SIMO-OFDM （single-input-multiple-output orthogonal frequency division multiplexing） system over Rayleigh fading channel. OFDM is a key technique for achieving high data rates and spectral efficiency requirements for wireless communication systems. But in scattering environment, the system performances are severely degraded by the effects of multipath fading and inter-symbol interference. In wireless communication systems, antenna diversity is an important technique to combat multipath fading in order to improve the system performance and increase the channel capacity. In this paper, the performance of different diversity combining techniques-SC （selection combining）, EGC （equal gain combining） and MRC （maximal ratio combining） has been analyzed and compared in terms of SNR （signal to noise ratio） and BER （bit error rate） probability. The simulation results show that the maximal ratio combining technique provides maximum performance improvement relative to all other combining schemes by maximizing the SNR of SIMO-OFDM system at the combiner output. The analytic expressions of error probability and effective bit energy to noise ratio correlated with BPSK （binary phase shift keying） modulation have been derived and formulated for N-branch SC, EGC and MRC schemes. The BER characteristics for all three combining techniques are simulated in MATLAB （matrix laboratory） tool box for varying bit energy to noise ratio. Our results also derives that SNR can be improved if the number of receiving antenna is increased, which in turn reduces BER over a Rayleigh fading channel.     

Normalized Efficient Routing Protocol for WSN

WSNs （wireless sensor networks） consist of thousands of tiny nodes having the capability of sensing, computation, and wireless communications. Unfortunately these devices are limited energy devices, that is means we must save energy as much as possible, to increase network life time as long as possible. In this paper we introduce NEER--normalized energy efficient routing protocol that increases network life time through switching between AODV protocol that depends on request-reply routing, and MRPC that depends on residual battery in routing.     

From IP to Start-up： Building a Robust Life Science Incubator

An incubator is an organization that supports new ventures to grow and survive during the early stages. Mainly dedicated to information technology, life science may appear to be the next hot spot for incubators. Are there stabilized good practices？ Are the business models in information technology and in life science comparable when it goes to start-ups＇ incubation？ Leveraging our experience as practitioner in this field and using an inductive methodology, this paper tends to propose simple principles to help build robust incubators in life science, and to contribute to disseminate an entrepreneurial approach through an industry still dominated by blue chips.     

Real-time control of human actions using inertial sensors

Our study proposes a new local model to accurately control an avatar using six inertial sensors in real-time.Creating such a system to assist interactive control of a full-body avatar is challenging because control signals from our performance interfaces are usually inadequate to completely determine the whole body movement of human actors.We use a pre-captured motion database to construct a group of local regression models,which are used along with the control signals to synthesize whole body human movement.By synthesizing a variety of human movements based on actors’control in real-time,this study verifies the effectiveness of the proposed system.Compared with the previous models,our proposed model can synthesize more accurate results.Our system is suitable for common use because it is much cheaper than commercial motion capture systems.     

Remote-Controlled Ambidextrous Robot Hand Concept

In the development of robotic limbs, the side of members is of importance to define the shape of artificial limbs and the range of movements. It is mainly significant tbr biomedical applications concerning patients suffering arms or legs injuries, fn this paper, the concept of an ambidextrous design lbr robot hands is introduced. The fingers can curl in one xvay or another, to imitate either a right hand or a left hand. The advantages and inconveniences of different models have been investigated to optimise the range and the maximum force applied by fingers. Besides, a remote control interthce is integrated to the system, allowing both to send comrnands through internet and to display a video streaming of the ambidextrous hand as feedback. Therefore, a robotic prosthesis could be used for the first time in telerehabilitation. The main application areas targeted are physiotherapy alter strokes or management of phantom pains/br amputees by/earning to control the ambidextrous hand. A client application is also accessible on Facehook social network, making the robotic limb easily reachable for the patients. Additionally the ambidextrous hand can be used tbr robotics research as well as artistic performances.     

Optimal resource allocation for transmission diversity in multi-radio access networks： a coevolutionary genetic algorithm approach

The next generation wireless communication systems aim at supporting enhanced diversified network access and data transmission abilities via the cooperative integration and unified management of various radio access technologies(RATs).The resource allocation is the core component leading the network system and mobile terminals to the service robustness and performance maximization.In this paper,a numeric optimization model for optimizing terminals’transmission power and allocated RAT bandwidth for maximizing system capacity is proposed with the focal consideration of the multi-radio transmission diversity for parallel transmission through multiple links from diferent RATs,and diferent terminal characteristics on RAT supports.Also,we design a centralized and periodic scheduling algorithm including an improved coevolutionary genetic algorithm for efciently solving the optimization problem.Simulation results demonstrate that our propose algorithm can distinctly enhance the system performance and improve the computational efciency.     

Towards estimating computer users＇ mood from interaction behaviour with keyboard and mouse

The purpose of this exploratory research was to study the relationship between the mood of computer users and their use of keyboard and mouse to examine the possibility of creating a generic or individualized mood measure. To examine this, a field study （n = 26） and a controlled study （n = 16） were conducted. In the field study, interaction data and self-reported mood measurements were collected during normal PC use over several days. In the controlled study, participants worked on a programming task while listening to high or low arousing background music. Besides subjective mood measurement, galvanic skin response （GSR） data was also collected. Results found no generic relationship between the interaction data and the mood data. However, the re- suits of the studies found significant average correlations be- tween mood measurement and personalized regression models based on keyboard and mouse interaction data. Together the results suggest that individualized mood prediction is pos- sible from interaction behaviour with keyboard and mouse.     

A 2.4 GHz low power CMOS transceiver for LR-WPAN applications

A 2.4 GHz low power transceiver for low-rate wireless personal area network(LR-WPAN)applications is presented.The optimized low-IF receiver consists of a novel current reuse RF front-end with an inductor-less-load balun LNA and quadrature mixer,and an adaptive analog baseband to reduce power and area.It achieves-94 dBm of sensitivity,-9 dBm of IIP3 and 28 dBc of image rejection.The phase-locked loop based direct phase modulated transmitter is proposed to reduce power and deliver a+3 dBm output power.The phase noise of the low power frequency synthesizer with current reuse stacked LC-VCO achieves-107.8 dBc/Hz at 1 MHz offset.An ultra-low power nonvolatile memory is used to store configuration data and save power.The chip is implemented in a 0.18μm CMOS process,and the area is less than 2.8 mm2.The transceiver consumes only 10.98 mW in the receiving mode and 13.32 mW in the transmitting mode.     

Wideband Rectangular and Circular Microstrip Antennas Loaded with U-Shaped Slot

In this paper, a dual frequency resonance antenna is analysed by introducing U-shaped slot in a rectangular and circular patch, the results in terms of return loss, input impedance and radiation pattern are given. It is observed that various antenna parameters are obtained as a function of frequency for different value of slot length and width; it is easy to adjust the upper and the lower band by varying these different antenna parameters. The coaxial feed is used to excite the patch antenna. All the theoretical results using Matlab are compared with the simulated results obtained from Ansoft HFSS which are in close agreement. Furthermore, comparative study between our results and those available in the literature is done and showed to be in good agreement.     

HC-Store： putting MapReduce＇s foot in two camps

MapReduce is a popular framework for large- scale data analysis. As data access is critical for MapReduce＇s performance, some recent work has applied different storage models, such as column-store or PAX-store, to MapReduce platforms. However, the data access patterns of different queries are very different. No storage model is able to achieve the optimal performance alone. In this paper, we study how MapReduce can benefit from the presence of two different column-store models - pure column-store and PAX-store. We propose a hybrid storage system called hybrid columnstore （HC-store）. Based on the characteristics of the incoming MapReduce tasks, our storage model can determine whether to access the underlying pure column-store or PAX-store. We studied the properties of the different storage models and create a cost model to decide the data access strategy at runtime. We have implemented HC-store on top of Hadoop. Our experimental results show that HC-store is able to outperform PAX-store and column-store, especially when confronted with diverse workload.     

Super-Resolution image Reconstruction Based on Iteration and Wavelet Transform

In this paper, we provide a super-resolution image reconstruction algorithm based on wavelet transform. Wavelet transform can separate high frequency and low frequency information of image. The more high frequency information can be obtained by using wavelet transform and the technique of image fusion. Meanwhile, reconstructed super-resolution image is produced by the iterative method. In iteration process, noise of image can be suppressed by applying method of wavelet threshold de-noising. The experiment results show that the algorithm can overcome the disadvantage of the classical interpolation method and effectively improve the resolution and PSNR of the image.     

Joint relay selection and power allocation for amplify-and-forward two-path relaying networks

This paper presents a joint relay selection and power allocation scheme for amplify-and-forward two-path relaying networks,in which diferent relay nodes forward information symbols alternatively in adjacent time slots.Our approach is based on the maximization of the received signal-to-noise ratio under total power consumption by the transmission of the symbol.We show that in spite of inter-relay interferences,the maximization problem has a closed-form solution.Simulation results explicitly indicate that the performance of proposed approach outmatches the existing methods including equal power allocation and one-path relaying.