A semantic web methodology for situation-aware curative food service recommendation system

Recently curative food is becoming more popular, as more people realize its benefits. Based on the theory of Chinese medicine, food itself is medicine. The curative food which is an ideal nutritious food can help to loss weight, increase immunity and is also good for curative effects in patients. In this paper, we propose a new Curative Food Service （CFS） recommendation system, the designed Situation-aware Curative Food Service Recommendation System （SCFSRS）, which provides the cooperation web-based platform for all related Mobile Users （MUs） and Curative Food Service Providers （CFSPs）, could strengthen the ability of CFS suggestion. SCFSRS is a five-tier system composed of the MUs, UDDI Registries （UDDIRs）, CFSPs, Curative Food Services Server （CFSS）, and Database Server （DS）.     

Study on ontology-based semantic retrieval model

The information retrieval based on ontology is a hotspot in the domain of information retrieval. According to the study on the existed retrieval model, this paper proposes a new kind of ontology-based semantic retrieval model, which grants semantic to the retrieval entry, the process of retrieval and the organization of data, and consequently improves the precision and recall of information retrieval.     

A research on social network-based personalized semantic retrieval model

Personalized semantic retrieval extends the query process and optimizes query results by mapping user preference of information to ontology. It can fetch different results according to the same queries from different users. This paper proposes a personalized semantic retrieval model based on social network. It implements the organization, presentation, acquisition and maintenance of user preference data. Finally, it uses these personalization data in the process of information retrieval.     

Towards Japanese corpus-based semantic accessibility scale

A detailed analysis of semantic accessibility scale （SAS） based on Japanese corpus has been performed in this paper. Firstly, the method of systematic random sampling is devised for quicker comparison among six groups in きくに . Secondly, according to the direct result of comparison, different sampling ratios （SR） in groups show regular deviation. The more pages are extracted, the higher SR is involved. Thirdly, the values of SAS in groups are calculated and then contrasted with SR. The regular deviation of SR fails to bring fundamental variation of SAS even though minor difference of SAS in groups may be reflected. The irrelevance to SAS establishes the fact that SR can be used for literary critics to extract and analyze SAS in corpus-involved texts from semantic perspective.     

Generation of executable representation for processor simulation with dynamic translation

Instruction-set simulators （ISS） are indispensable tools for studying new architectures. There are several alternative to achieve instruction set simulation, such as interpretive simulation, static translation and dynamic translation. This paper presents a simulator where we have developed and integrated three techniques： an interpretive simulator and two variants of dynamic translation. In the third variant the simulator caches an intermediate representation that consists of pseudo instructions. These pseudo instructions use semantic functions that can be specialized using partial evaluation technique and a code generator. These three methods have been used to run the same simulated programs and compare their performance. The experiments show that the partial evaluation technique increases performance and flexibility, but also shows that it may have adverse effects.     

Fast and robust training of a probabilistic latent semantic analysis model by the parallel learning and data segmentation

Probabilistic Latent Semantic Analysis （PLSA） is proven to be effective in the information retrieval and the speech recognition technique. In this paper, we modify the calculation procedure of estimation algorithm. It substantially reduces the memory requirements. And, parallelization approach enables making models in less time. Next, we examined data segmentation for PLSA adaptation. Most meetings have a number of topics. We divide the meeting automatically and fit PLSA models with them. The experiment showed recognition performance improvement.     

Advanced learning resource management system with ontology-based hierarchy semantic model

The requirement for advanced learning resource management system is a hot topic in e-learning, which should support sharing, reusability and interoperability of learning resource. The development of semantic technology has provided opportunities to solve the problems. In e-learning area, there have been many research efforts in this direction. However, such kinds of existing systems have many weaknesses on resources usability and system availability because of various requirements on learning resources sharing, and the complexity of semantic technology itself. This paper proposes a feasible architecture for constructing learning resource sharing system with high availability through adopting semantic technology, and ontology-based hierarchy semantic model and method to construct course ontology are proposed. The approach has been validated with prototype development.     

An approach to implementing an intelligent web search

The retrieval efficiency of the presently used search tools cannot be significantly improved： A ＂bag of words＂ interpretation causes loosing semantics of texts. The functional approach to present English texts in the memory of computers makes it possible to keep semantic relations between words. These relations can be taken into account when indexing documents and when performing searching. Utilizing this approach, it is possible to use a natural language to express user queries. In many cases, this way is more usual for users to describe their information needs compared to the keyword style. The factoid question answering task is one of the possible its applications. Key components of the prototype of a system utilizing this approach are discussed.     

Unsupervised image segmentation based on MRFs and graph cuts

Markov random fields （MRFs） can be used for a wide variety of vision problems. In this paper we will propose a Markov random field （MRF） image segmentation model. The theoretical framework is based on Bayesian estimation via the energy optimization. Graph cuts have emerged as a powerful optimization technique for minimizing energy functions that arise in low-level vision problem. The theorem of Ford and Fulkerson states that min-cut and max-flow problems are equivalent. So, the minimum s/t cut problem can be solved by finding a maximum flow from the source s to the sink t. we adopt a new min-cut/max-flow algorithm which belongs to the group of algorithms based on augmenting paths. We propose a parameter estimation method using expectation maximization （EM） algorithm. We also choose Gaussian mixture model as our image model and model the density associated with one of image segments （or classes） as a multivariate Gaussian distribution. Characteristic features related to the information in color, texture and position are extracted for each pixel. Experimental results will be provided to illustrate the performance of our method.     

Improving extraction of watermarks in color attacked watermarked images

A new approach for modeling color attacks of RGB-color watermarked images is presented in this paper. We have used a based interpolation watermarking algorithm and supposed that the attacks are simulated by a scaling of the colors followed by a translation. Then give bounds for the extracted watermark depending on the original image, the watermark and the attack. Different attacks like LSB, embedding another watermark, Stirmark have been simulated and the quality of the extracted watermark is discussed in each case.     

Application of data warehouse in power transformer diagnosis system

Electric power companies have accumulated huge amounts of historical fault data of power transformer after many years operation, but the decision-makers have not been greatly supported because of the limitation of knowledge and can not make decision for transformer condition assessment. A real power corporation is selected as the research background. Based on analyzing and reorganizing the various existing data sources, the power transformer fault information data warehouse is constructed and snowflake mode cubes for multi-dimension data are established. By using Processing） and data mining analyzing and inquiring data OLAP（On-Line Analysis technology, forecasting load, warehouse are realized from different point view and multi-layers, including rolling up, drilling down, slicing, dicing and rotating etc.. Moreover, this paper proposes a novel transformer fault data mining system based on data warehouse. Finally, bayes network of fault patterns are obtained, which can greatly help the decision-making for the system operating and management. The results show that transformer fault diagnosing system based on data warehouse technology can provide efficient decision supporting.     

Analysis and design of light emitting diodes for optoelectronic applications

This paper presents detailed analysis and design of light-emitting diodes for optoelectronic applications. Both internal and external efficiencies are investigated taking into account the nonradiative recombination process and the total internal reflection. The dependency of the LED output power on the efficiency and double pass parasitic absorption is studied. Effect of the temperature variation on the LED performance is also studied. A complete design of an encapsulated LED operating at 1.55 m has been investigated. The design illustrates layer structures and thickness, material compositions, and index of refraction. The results show that decreasing the radiation recombination time increases the quantum efficiency, The quantum efficiency increases from 15% to 70% as the radiative recombination time reduced from 0.5 s to 0.05 s. It is also shown that increasing the width of the active region increases the output power.     

Service for consistency management of replicas in data grid

Today, grid technology has evolved to the point where it is no longer a theory but a proven practice. It represents a viable direction for corporations to explore grid computing as an answer to their business needs within tight financial constraints. In general, grids enable the efficient sharing and management of computing resources for the purpose of performing large complex tasks. Data grid provides the data management features to enable data access, synchronization, and distribution of a grid. The main aim here is to ensure a efficient access and quality data, to improve the availability, and be able to continue delivering acceptable services. In such systems, these advantages are not yielded by means others than replication mechanisms. The effective use the replication technique involves several problems, in relation with the problem of the coherence maintenance of replicas. Our contribution consists new service for the consistency management in the data grid. This service combines between pessimistic and optimistic approaches, taking into account benefits of both approaches, to find a compromise between performance and quality. In addition, our service has been extended by a mechanism placement of replicas based on economics model.     

Rescheduling to minimize total completion time under a limit on the makespan of the original jobs

We consider the rescheduling problems arising when two agents, each with a set of nonpreemptive jobs, compete to perform their respective jobs on a common processing resource. Each agent wants to minimize a certain objective function, which depends on the completion time of its jobs only. In this paper, we consider the two agents rescheduling problems for jobs on a single machine to minimize total completion time under a limit on the makespan of the original jobs. We show that the considered problems can be solved in polynomial time or pseudopolynomial time.     

Audio recording of rock/metal music using personal computers

Personal computers and their relevant technologies have been widely used by artists and musicians to create and record their own music and electroacoustic compositions. ＂Laptoppers＂ are famous for using their laptops for their dance/electronic beats and music. A genre that has not relied on the use of PCs for the production of its music is rock/heavy metal, since bands of these genres usually book recording studio time where professionals take on the task of the production using expensive equipment. This study shows that in today＇s day and age, and with the software and hardware currently available, it is possible for rock/metal artists to use their PC to record and produce their own CD successfully and at an extremely competitive cost. The effort＇s of a rock band that does just this is followed from the beginning and the results of their CD production and song successes is presented. The article also serves as a ＂HowTo＂ guide that bands on a low budget can follow to make good quality demo CDs and enter the music business industry.     

The existence and synchronization properties of symmetric fix-free codes

Fix-free codes are a type of variable length codes with both prefix-free and suffix-free properties, and there are two types of fix-free codes： symmetric fix-free codes and asymmetric fix-free codes. In this paper, we mainly discuss symmetric fix-free codes. First, the existence of symmetric fix-free codes is studied in detail, and some necessary and sufficient conditions are proposed. We also discuss the problem of achieving synchronization of symmetric fix-free codes, which is important in application. We then establish a scheme with synchronizing codewords to resolve this problem.     

Mathematical model for in-line determination of heat transfer coefficients in a steam generation process

This paper shows an in-line determination of heat transfer coefficients in a steam generator. Aqueous working solution of lithium bromide ＋ ethylene glycol was considered. Heat transfer coefficients were calculated for the working solution and for heating water. A plate heat exchanger was used as the steam generator. Type T thermocouples were used to measure the wall temperature in the plate heat exchanger, which is a main component in an absorption system. Absorption systems are equipments able to use alternative energy, diminishing polluting emissions. Commercial software Agilent Vee Pro 7.5 by Agilent Technologies was used to measure the temperatures and for the determination of the heat transfer coefficients. Whir the in - line determination of the heat transfer coefficients it will be possible to know the best operation conditions during the experimental test. There are not previous works in a steam generator with this working solution.     

C2G2FSnake： automatic tongue image segmentation utilizing prior knowledge

Extraction of the tongue body from digital images is essential for automated tongue diagnoses in traditional Chinese medicine. This paper presents a fully automated active contour initial method that utilizes prior knowledge of the tongue shape and its location in tongue images. Then colorspace information is introduced to control curve evolution. Combining the geometrical Snake model with the parameterized GVFSnake model, a novel approach for automatic tongue segmentation： C2G2FSnake （color control-geometric gradient flow Snake） is proposed. This method increases the curve velocity but decreases the complexity. C2G2FSnake greatly extends practical usage to tongue segmentation, at the same time increasing the precision. Compared with other state-of-the-art works using different images of tongue color, C2G2FSnake realizes automatic tongue segmentation with greatly improved accuracy.