Earticle

Recently, with the development of advanced thin film devices comes the need for constant high quality vacuum as the deposition pressure is more demanding. It is for this reason our research seeks to understand how the variable design factors are employed in such vacuum systems. In this study, the effects of design factor applications on the vacuum characteristics were simulated to obtain the optimum design modeling of variable models on an ultra high vacuum system. The commercial vacuum system simulator, VacSim(multi), was used in our investigation. The reliability of the employed simulator was verified by the simulation of the commercially available models of ultra high vacuum system. Simulated vacuum characteristics of the proposed modeling aligned with the observed experimental behavior of real systems. Simulated behaviors showed the optimum design models for the ideal conditions to achieve optimal pressure, pumping speed, and compression ratio in these systems.

Scratch-based programming has come to be known as an effective programming tool because of its graphic instruction modules, which are designed to be assembled like the famous LEGO building blocks. These building block-like structures allow users to more easily program applications without using other more difficult programming languages such as C or Java, which are text-based. Therefore, it poses a good opportunity for application in educational settings, especially in primary schools. This paper presents an effective approach to developing an educational robot for use in elementary schools. Furthermore, we present the method for scratch programming based on the external modules need for the implementation of robot motion. Lastly, we design a systematic curriculum, titled “Play with a Robot,” and propose guidelines to using the educational programming language Scratch.

Cell walls of microalgae consist of a polysaccharide and glycoprotein matrix providing the cells with a formidable defense against its environment. Anaerobic digestion (AD) of microalgae is primarily inhibited by the chemical composition of their cell walls containing biopolymers able to resist bacterial degradation. Adoption of pre-treatments such as thermal, thermal hydrolysis, ultrasound and enzymatic hydrolysis have the potential to remove these inhibitory compounds and enhance biogas yields by degrading the cell wall, and releasing the intracellular algogenic organic matter (AOM). This paper preproposal stage investigated the effect of different pre-treatments on microalgae cell wall, and their impact on the quantity of soluble biomass released in the media and thus on the digestion process yields. This Paper present optimum approach to degradation of the cell wall by ultra-sonication with practical design specification parameter for ultrasound based pretreatment system. As a result of this paper presents, a microalgae system in a wastewater treatment flowsheet for residual nutrient uptake can be justified by processing the waste biomass for energy recovery. As a conclusion on this result, Low energy harvesting technologies and pre- treatment of the algal biomass are required to improve the overall energy balance of this integrated system.

This paper proposes to increase the efficiency of energy in nodes, which rapidly drops during the transmission of the Low Energy Adaptive Clustering Hierarchy (LEACH), through the use of dual-hop layered application in the sensor field. Along with introducing the dual-hop method in the data transmission, the proposed single-hop method for short-range transmission and multi-hop transmission method between the cluster heads for remote transmission were also introduced. Additionally, by introducing a partial multi-hop method in the data transmission, a single-hop method for short range transmission method between the cluster heads for remote transmission was used. In the proposed DL-LEACH, the energy consumption of the cluster head for remote transmission reduced, as well as increased the energy efficiency of the sensor node by reducing the transmission distance and simplifying the transmission route for short-range transmission. As compared the general LEACH, it was adapted to a wider sensor field.

With the continuous effort to make business management more efficient, companies have started to utilize smart workplaces and the incorporation of mobile devices. Furthermore, big data processing, using Database as a Service (DBaas), is also being researched for integration. Similarly. mobile cloud can be utilized to allow for data sharing among employees. In this paper, in order to solve the issue of efficiency in business management, a collaboration system for data sharing using mobile cloud environment is explored. The proposed system, looks to benefit the increased integration of environment and corporate public through use of standardized data, in a design capable of efficient integrated management system.

In this study there was the analysis of government incentives and resident support of public crematoriums, typically identified in Korea as a locally unwanted land use (LULUs), in the metropolitan area. The study looked at what government programs would be potential incentives for allowing the crematoriums to exist in metropolitan communities. Such programs were diverse, with projects focused on: enhancing resident welfare, increasing resident income, funeral facilities and management consignment, community oriented programs, education, funding, and others. Among them, it was found that residents were most in support of programs for enhancing resident welfare and increasing income among residents. In order to resolve the complexities of community support for LULUs and government incentives to shift public perception of cremation, three main policies are proposed. First, it would be necessary to compliment additional project support policies which provide medical services, resident prefered projects, and improvement of substandard housing. Second, it would be important to establish ordinances concretely identifying residential support projects based on community needs assessment. Lastly, it would be of the government’s best interest to build policies for resident supported projects that reflect local conditions and the residents' demands for allowing non-preferred facilities to be built, and then to analyze the economic feasibility of these demands.

With the growing use of big data and data mining, it serves to understand how such techniques can be used to understand various relationships in the healthcare field. This study uses hierarchical methods of data analysis to explore similarities in hospitalization across several New York state counties. The study utilized methods of measuring crowding distance of data for age-specific hospitalization period. Crowding distance is defined as the longest distance, or least similarity, between urban cities. It is expected that the city of Clinton have the greatest distance, while Albany the other cities are closer because they are connected by the shortest distance to each step. Similarities were stronger across hospital stays categorized by age. Hierarchical clustering can be applied to predict the similarity of data across the 10 cities of hospitalization with the measurement of crowding distance. In order to enhance the performance of hierarchical clustering, comparison can be made across congestion distance when crowding distance is applied first through the application of converting text to an attribute vector. Measurements of similarity between two objects are dependent on the measurement method used in clustering but is distinguished from the similarity of the distance; where the smaller the distance value the more similar two things are to one other. By applying this specific technique, it is found that the distance between crowding is reduced consistently in relationship to similarity between the data increases to enhance the performance of the experiments through the application of special techniques. Furthermore, through the similarity by city hospitalization period, when the construction of hospital wards in cities, by referring to results of experiments, or predict possible will land to the extent of the size of the hospital facilities hospital stay is expected to be useful in efficiently managing the patient in a similar area.

With the recent growth in cloud computing, big data processing and collaboration between businesses are emerging as new paradigms in the IT industry. In an environment where a large amount of data is generated in real time, such as SNS, big data processing techniques are useful in extracting the valid data. MapReduce is a good example of such a programming model used in big data extraction. With the growing collaboration between companies, problems of duplication and heterogeneity among data due to the integration of old and new information storage systems have arisen. These problems arise because of the differences in existing databases across the various companies. However, these problems can be negated by implementing the MapReduce technique. This paper proposes a collaboration system based on Database as a Service, or DBaaS, to solve problems in data integration for collaboration between companies. The proposed system can reduce the overhead in data integration, while being applied to structured and unstructured data.

With the growing shift from traditional educational approaches and studying to the more digital classroom, using electronic textbooks and digital native's demand, there is a growing need to develop new methods for learn Kanji characters for children. The purpose of this study is to help children learn the basic Kanji by using stop motion and block methods, and approaching the basic Kanji character education with a more innovative and interactive smart phone APP. In the development of this smart phone App for children's Kanji character education proposed in this study, 100 basic Kanji characters for children are selected. These 100 characters are required for the stop motion animation production, where each selected Kanji is created as a stop-motion animation utilizing a variety of techniques, such as storytelling, to better engage children. The intelligent App is designed with image recognition technology, so that in the learning process children take a picture for the assembled block using their smart phone, the APP then recognizes whether it is assembled correctly, and then plays an animation corresponding to the assembled Kanji character.

Remote sensing and measurement are of paramount importance of providing information on the state of water quality in water bodies. The formation and growth of cyanobacteria is of serious concern to in land aquatic life forms and human life. The main cause of water quality deterioration stems from anthropogenic induced eutrophication. The goal of this research to quantify and determine the spatial distribution of cyanobacteria concentration in the water using remote sensing technique. The standard approach to measure water quality based on the direct measurement of the fluorescence of the chlorophyll a in the living algal cells and the same approach used to detect the phycobilin pigments found in blue- green algae (a.k.a. cyanobacteria), phycocyanin and phycoerythrin. This paper propose the emerging sensor design to measure the water quality based on the optical analysis by fluorescence of the phycocyanin pigment. In this research, we developed an method to sense and quantify to derive phycocyanin intensity index for estimating cyanobacteria concentrations. The development of the index was based on the reflectance difference between visible light band 620nm and 665nm. As a result of research this paper presents, an optical biological sensor design information to measure the Phycocyanin parameters in water content.