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In this paper, we propose a new multiplication algorithm for primitive polynomial with all 1 of coefficientin case that m is odd and even on finite fields GF(3m), and design the multiplier with parallelinput-output module structure using the presented multiplication algorithm. The proposed multiplier isdesigned (m+1)2 same basic cells. Since the basic cells have no a latch circuit, the multiplicativecircuit is very simple and is short the delay time TA+TX per cell unit. The proposed multiplier is easyto extend the circuit with large m having regularity and modularity by cell array, and is suitable to theimplementation of VLSI circuit.

In this paper, we propose a context awareness system to transfer accurate information of the app storebased on collective intelligence. By using collective intelligence the system minimizes the errors that couldoccur when an individual process the problems, recommends APIs for developers and builds the app storefor not only customers but also developers. In addition, this system applies the ontology technique toaware the context of consumers, recommends the app suitable for the consumer and provides theinformation for app developers. By utilizing the deduction technique of the Jena, the context awarenesssystem infers the context of a consumer and constructs the app store system which improves the existing app stores. In the point of service transfer and accuracy, the proposed app store system module showbetter performance than the existing app store.

In this paper, we propose a prototype-based classification learning by using the nearest-neighbor rule. The nearest-neighbor is applied to segment the class area of all the training data into spheres withinwhich the data exist from the same class. Prototypes are the center of spheres and their radii arecomputed by the mid-point of the two distances to the farthest same class point and the nearest anotherclass point. And we transform the prototype selection problem into a set covering problem in order to determine the smallest set of prototypes that include all the training data. The proposed prototypeselection method is based on a greedy algorithm that is applicable to the training data per class. Thecomplexity of the proposed method is not complicated and the possibility of its parallel implementation ishigh. The prototype-based classification learning takes up the set of prototypes and predicts the class oftest data by the nearest neighbor rule. In experiments, the generalization performance of our prototypeclassifier is superior to those of the nearest neighbor, Bayes classifier, and another prototype classifier.

Systematic theory, concepts, and methodology for the biological evolution have been developed whilepatterns and principles of the evolution have been actively studied in the past 200 years. Furthermore,they are applied to various fields such as evolutionary economics, evolutionary psychology, evolutionarylinguistics, making significant progress in research. In addition, existing studies have applied mainbiological evolutionary models to artifacts although such methods do not fit to them. These models are alsolimited to generalize evolutionary patterns of artifacts because they are designed in terms of a subjectivepoint of view of experts who know well about the artifacts. Unlike biological organisms, because artifactsare likely to reflect the imagination of the human will, it is known that the theory of biological evolutioncannot be directly applied to artifacts. In this paper, beyond the individual’s subjective, the aim of ourresearch is to present evolutionary patterns of a given artifact based on peeping the idea of the public. Forthis, we propose a text mining approach that presents a systematic framework that can find out theevolutionary patterns of a given artifact and then visualize effectively. In particular, based on our proposal,we focus mainly on a case study of mobile phone that has emerged as an icon of innovation in recentyears. We collect and analyze review posts on mobile phone available in the domestic market over the pastdecade, and discuss the detailed results about evolutionary patterns of the mobile phone. Moreover, thiskind of task is a tedious work over a long period of time because a small number of experts carry out anextensive literature survey and summarize a huge number of materials to finally draw a diagram ofevolutionary patterns of the mobile phone. However, in this work, to minimize the human efforts, wepresent a semi-automatic mining algorithm, and through this research we can understand how humancreativity and imagination are implemented. In addition, it is a big help to predict the future trend of mobilephone in business and industries.

Emotional reaction of audience can be decided by observing reaction of audience for content. We canuse a method to analyze visual data from video camera to detect reaction of audience fast andeconomically. This paper proposes the method and system to observe audience reaction from visual dataof audience and define via neural network. Also we propose a new method to detect automatically an areafor audience reaction with face detection to improve a fixed area assignment method which has a limitation not to adapt depending on audiences. Additionally, the evaluation is implemented to show that the proposedmethod and system is effective. The proposed method showed the performance elevation of 10.5 % (7.75hit ration) compared to a fixed area assignment method.

In this paper, we proposed the method that enabling warning through real-time analysis of dangerousdriving behavior, improving driving habits and safe driving using the digital tachograph. Most of trafficaccidents and green drive are closely related of driving habits. These wrong driving habits need to beimproved by the real-time analysis, warning and automated method of driving habits. We confirmed theproposed that the method will help support eco-driving, safe driving through real-time analysis of drivingbehavior and warning through the method implementation and experiment.

In the absence of a polynomial time algorithm capable of obtaining the exact solutions to it, the domaticnumber problem (DNP) of dominating set (DS) has been regarded as NP-complete. This paper suggestspolynomial-time complexity algorithm about DNP. In this paper, I select a vertex vi of the maximumdegree (ΔG) as an element of a dominating set Dv,i =1,2, ⋯k , compute Di+1 from a simplified graph of Vi+1= Vi╲Di, and verify that Di is indeed a dominating set through V╲Di = NG(Di) . When applied to 15various graphs, the proposed algorithm has succeeded in bringing about exact solutions withpolynomial-time complexity O(kn) . Therefore, the proposed domatic number algorithm shows that thedomatic number problem is in fact a P-problem.

This paper suggested dynamic application framework based data collecting and monitoring techniqueusing wireless sensor network. The development of application for wireless measurement node firmwareprogram integrates with various sensors and performs control. Collecting data of the user application isdownloaded from the node onboard process wirelessly. In addition, the user application can change thetemperature initial value of the nodes, which enables dynamic sampling of the measurement nodes. Therefore, dynamic sampling control of the nodes can reduce the power consumptions of sensorscompared to existing wired data monitoring.

This paper introduces surveillance equipment “ADS-B”, the core subject of traffic control system andstudy of ADS-B 1090ES ground receiver . The standard is set not only for functional but also its reliabilityby analyzing international standard documents and existing products. The Bias circuit is designed for lesspower consumption, low noise and high gain for RF module. The signal processing is capable ofovercoming its bad conditions. MCU part is configured with the latest CPU for high speed communicationwith external parts and SNMP is selected for remote control communication. The performance ofdeveloped receiver satisfies national and international standards and its functions are more advanced compared to foreign receivers.

In this paper, we propose a handoff method supporting LBS (Location Based Services) Information inmobile clouding environment. In mobile clouding computing, handoff delay and re-authentication isoccurred. A mobile node needs re-authentication procedure from cloud server whenever it arrives new AP. But Using of location information of node enables to reduce delay time due to re-authentication. To reducere-authentication delay time, proposed method stores location information of APs on WiFi based location server to complement. GPS-based technology which can't receive satellite signal in indoor and then nodecollects location information of AP at handoff time. And also enables to process LBS without increasinghandoff delay by splitting the process of handoff from process of requesting location information. Foranalysis of proposed method, We analyze handoff delay and location information process time and havecompared previous handoff method in cloud environment. We confirmed that proposed method shows lowerdelay time without increasing LBS process time than previous method because node receives locationinformation from location information server when handoff is occurred.

Datum point for displaying location and altitude of point has being advantage usefully in various measurement parts. However, datum point has been increasing loss cases owing to weather changes andstratum changes and neglecting meaninglessly. In this paper, we design and implement a multi electronicmeasurement system monitoring software with functions such as include maximize utilization of existingmeasurement datum system as well as collected various environment data and detection stratum changesof surround area. Proposed software is implemented to support that reusability and extensibility ofsoftware using object oriented modeling method. Our software supports a GUI for electronic measurementdatum point administrator as well as for web user and mobile user. Our system can support a graph GUIfor various data analysis and reposition in realtime to database that measured location information andvarious sensing information to prevent loss of electronic measurement datum point and to detected stratumchanges. In addition, we include a QR code and RFID recognition function. Finally, we suggest performanceevaluation result to confirm stratum changes detection and GPS location error rate.

Technology analysis is to analyze technological data such as patent and paper for a given technologyfield. From the results of technology analysis, we can get novel knowledge for R&D planing andmanagement. For the technology analysis, we can use diverse methods of statistics. Time series analysisis one of efficient approaches for technology analysis, because most technologies have researched anddeveloped depended on time. So many technological data are time series. Time series data are occurredthrough time. In this paper, we propose a methodology of technology forecasting using the dynamic timewarping (DTW) of time series analysis. To illustrate how to apply our methodology to real problem, weperform a case study of patent documents in target technology field. This research will contribute to R&Dplanning and technology management.

With the explosive growth of information about books, there is a growing number of customers who findit difficult to pick a book. Against the backdrop, the importance of a book recommendation systembecomes greater, through which appropriate information about books could be offered then to encouragecustomers to buy a book in the end. However, existing recommendation systems based on thebibliographical information or user data reveal the reliability issue found in their recommendation results. This is why it is necessary to reflect semantic information extracted from the texts of a book’s main bodyin a recommendation system. Accordingly, this paper suggests a method for extracting keywords from themain body of novels, as a preceding research, by using TF-IDF method as well as the text structure. Tothis end, the texts of 100 novels have been collected then to divide them into four structural elements ofpreface, dialogue, non-dialogue and closing. Then, the TF-IDF weight of each keyword has beencalculated. The calculation results show that the extraction accuracy of keywords improves by 42.1% inperformance when more weight is given to dialogue while including preface and closing instead of usingjust the main body.

The chemical tank loading problem has been classified as nondeterministic polynomial time(NP)-complete problem because of the polynomial-time algorithm to find the solution has been unknownyet. Guéret et al. tries to obtain the optimal solution using linear programming package with O(m4) timecomplexity for chemical tank loading problem a kind of bin packing problem. On the other hand, this papersuggests the rule of loading chemical into minimum margin tank algorithm with O(m) time complexity. Theproposed algorithm stores the chemical in the tank that has partial residual of the same kind chemicalfirstly. Then, we load the remaining chemical to the minimum marginal tanks. As a result of experiments,this algorithm reduces the O(m4) of linear programming to O(m) time complexity for NP-completechemical tank loading problem.

This study proposes an algorithm for predicting breast cancer prognosis based on genetic network. Weidentify prognosis-specific network using gene expression data and PPI(protein-protein interaction) data. To acquire the network, we calculate Pearson's correlation coefficient(PCC) between genes in all PPI pairs using gene expression data. We develop a prediction model for breast cancer patients withestrogen-receptor-negative using the network as a classifier. We compare classification performance ofour algorithm with existing algorithms on independent data and shows our algorithm is improved. Inaddition, we make an functionality analysis on the genes in the prognosis-specific network using GO(GeneOntology) enrichment validation.

In this paper, we propose a Korean sentence symbol preprocessor for a SSML (speech synthesismarkup language) supported speech synthesis system in order to improve the quality of the synthesizedresult. After the analysis of Korean Wikipedia documents, we propose 8 categories for the meaning ofsentence symbols and 11 regular expression for the classification of each category. After the developmentof a Korean sentence symbol preprocess system we archived 56% of precision and 71.45% of recall ratiofor 63,000 sentences.

There is literature addressing to cultural aspects of alcohol and alcoholism. However, scholars havepaid little attention to study what will happen to alcohol consumption behavior and alcoholism if there is anational government cultural intervention, so that the alcohol drinking culture would change in associationwith the change of internal institution in a society. This work attempted to study this research question. For this purpose, I selected Mongolia as a research case and examined survey data, statistical data, anddata from research-based resources, referring to the last 70 years profile of Mongolian alcohol per capitalconsumption and alcoholism as well as studying Mongolian historical sources for measuring Mongoliantraditional alcohol drinking customs. The data I gathered and observed during this research proved that there is a huge difference between the current drinking culture among younger generation and Mongoliantraditional cultural context that was respected and strictly followed by their ancestors. Findings suggestthat there has been a parallel increase between the change of alcohol drinking culture and alcoholconsumption in connection with the modernization.

This study looked into these companies and organizations that were working with the knowledgemanagement system in order to verify how practically such introduction of the knowledge managementsystem would affect the organizational performances. The purpose of this study is to present the strategic guidelines should to consider the introduction of the knowledge management system operated by theorganization to analyze how factors affect the performance of the introduction of knowledge managementsystems are organized in empirical. According to the results, the sub-variables of the management factorssuch as learning organization, evaluation and reward system, organizational trust and knowledge-sharingactivity had all the significant effects on the organizational performance, and of the sub-variables of theinformation technology factors, the information technology-based structure presented statisticallysignificant results which confirmed that the structure itself also had an influence on the organizationalperformance. However, the study learned that both the information technology maturity and the systemstructural excellence had nothing to do with the organizational performance.

This paper proposes a simple, approachable game via mobile application in order to change theattitudes of the general public towards donation. This game can become one of many representative onlineactivities of NGOs(Non Government Organization). Also, as it is a song game, the public can enjoy it ratherthan feeling pressure. This study is expected to energize the industry of donation applications andcontribute to the settlement of a popular giving culture through NGOs, corporations, and SNS(SocialNetworking System).

In this paper, we examined the effect of positive affect and negative affect on the life satisfaction in theworkplace. Also, this study focused on an empirical test of the role of work self-efficacy and workmeaningfulness in the subjective well-being of office worker. To achieve this purpose, we suggested aresearch model consisting of factors such as work self-efficacy, work meaningfulness, positive affect,negative affect, life satisfaction. Data was collected using the survey method, and analyzed using structural equation model. According to PLS analysis, first, lower negative affect was associated with higher lifesatisfaction. Secondly, work meaningfulness was a very important predictor for the subjective well-beingof office worker.

Pharmaceutical companies over the world are exposed to risks of lessened sales and negative impacton corporate image due to circulation of counterfeit drugs, which eventually threatens safety of patients. thus, in order to eradicate distribution of counterfeit drugs, many countries are taking initiatives to legalizeand set serialization through e-Pedigree, which is based on RFID technology or barcode system to trackand trace distribution of drugs from point of manufacturing to usage. therefore, this study contemplatesdomestic and international management system of medical drugs and suggests application methods ofe-Pedigree based on RFID technology that promotes safety of patients and distribution of drugs.

The aim of this study is to identify whether the stress of children has an impact on their gameaddiction and to verify the moderating effect of family support. The survey was conducted to the childrenwho were 5th and 6th graders in Gwangju and Jeonnam. The responses from 564 subjects contactedsubjects were analyzed. In accordance with the verification on the impact game addiction, Children's stress has a impact on theirgame addiction. In other words, higer stress was related to higer game addiction. The impact familysupport on their game addiction was analyzed. In accordance with the results, the family support had positive impact on their game addiction. It suggested that higher family support meant lower gameaddiction. The moderated effect of family support was analyzed. The family support had the control effect toreduce the negative effect of stress of children in to their game addiction. Implication of the study findingsis discussed.

In this paper, it should be established what influence to customer satisfaction by advertisement andpromotion, store management and quality of products of large discount stores, and in order to present thestructural relation model. In order to establish it empirically, this study proposed a structured alternativemodel by conducting a survey to customers live in metropolitan areas who use biggest discount store,through the SPSSWIN 18.0 and AMOS 18.0. This analysis shows a number of points, first, customers wereaware of having meaningful impact on store management to products quality. Through broad and clean store represents confidence appears to have a products quality. Second, the store management wereshown to have a meaningful impact on customer satisfaction. Cleanliness and atmosphere of store,convenience of parking facilities, and transportation convenience of their roles in customer satisfactionseem to believe. Third, advertising and promotion is shown to not affected meaningful impact on storesmanagement, products quality and customer satisfaction.

This study aimed to design and apply the technological pedagogical and content knowledge(TPACK)model to pre-service education program, and to analyze its results for attending student’s questionnaire. At first, a lecture that designed to elevate one’s technological knowledge was studied and implemented. Toperform this study, TPACK survey instruments were distributed to pre-service teacher group A who tookthe designed lecture and group B who took ordinary ICT literacy lecture. The results showed that TK, TCK, TPK, and TPACK improved significantly in group A, and significant positive corelation shows among7 subcategories of TPACK. Based on the result of this study, we suggested that pre-service teachereducation should consider the combination of pre-service education program and technology knowledge inTPACK model.