Design of ACO based PID controller for zeta converter using reduced order methodology

DC-DC conversion playing major role in many applications of power electronics and widely used in power circuit. Enormous methodology's of PID based converters are created in recent decades. The zeta converter is basically a DC – DC converter and its control the output voltage from an input voltage step up and step down the output voltage. The main scope of this paper is to design of ACO(Ant colony Optimization)based PID controller for zeta converter using model order technique with minimum of error, the zeta converter is basically fourth order system, design of PID controller for fourth order system is quite complex so model order reduction is used for controller design of zeta Converter, Therefore, the higher order system is reduced to second order using three different reduction techniques, then the ACO based PID controller is designed for reduced order system and is matched with the zeta converter, the results shows that designed controller for zeta converter gives quite good response for both the transfer function and is attached with zeta converter circuit, controller gives good performance indices is made on the basis of ISE, IAE and ITAE with minimum value of errors.     

Design of composite data acquisition gateway based on 5G network

The integrated data collection system hasn't changed much over the years. Their growth is dominated by digital filtering, and they get a new avionics bus. Time division multiplexing is still used to communicate with the system's data collector. These schemes make use of commands and data buses. While this method works, it has many drawbacks. These shortcomings are overwhelming the strict system architecture, system bandwidth limits, and expertise to only obtain an avionics bus, otherwise system bandwidth and one-way flow of data and control. This lead for high-end video recorders. To quietly monitor our actions and valuable information provides important warnings. However, it is usually completed by a device with this small processing power, which tracks the device, stores the data of the user's data, and is limited in processing. Therefore, it is important to store and process user data in the cloud to track 5 G network activity. This article proposes a simple 5G network gateway solution for custom user monitoring equipment. Collects charge data on Network 5G and Charging-aware multi-mode based routing protocol (CMRP). The CMRP routing mechanism is not yet stable, but the changes depend on the state of the energy charge sensor. This cannot be complemented by energy-efficient sensors and routing protocols that consume less energy.     

Application of iot medical image detection and prenatal genetic testing in obstetric clinic

The use of new techniques and methods can be significantly improved during prenatal examination and screening of fetal genetic abnormalities. Expanding the number of vectors in screening and screening for single-cell gene diseases in fetal DNA will increase the probability of success of the whole screening test.Recently, sub chromosomal abnormalities have been introduced into prenatal care. The lack of suitable tools makes it very difficult to obtain information about collection, management, and prenatal genetic testing. The purpose of this study is to improve the accessibility of nutritional information by using the advantages of advanced medical image detection and integrating the IoT (Internet of Things) and prenatal genetic testing platforms in obstetric outpatient clinics. Records are kept that the platform will allow IoT to interact with sensor practitioners and provide immediate access to medical images prior to delivery. This proposed system provides an IoT application for managing obstetric outpatient information and prenatal genetic testing requirements. The requirement for establishment is the realization of the development of an IoT platform for complete medical image detection information management with IoT input required for integration with existing medical information systems. In response, the purpose of the study is to use integrated IoT applications to help nutrition professionals, researchers, patients, and especially mothers, to enhance their collection of medical imaging and prenatal genetic testing IoT sensor based information transfer.     

Should I scan my face? The influence of perceived value and trust on Chinese users’ intention to use facial recognition payment

While China has seen the widespread adoption of facial recognition payment, concerns over the potential risks impede the further growth of user acceptance. Drawing on the perspectives of perceived value and trust, we developed a research model to explore how the Chinese users’ trade-off between perceived benefits (perceived convenience and perceived novelty) and perceived risks (perceived privacy risk and perceived financial risk) influences their usage intention. Based on survey data from 1,200 Chinese mobile payment users, this study uses structural equation modeling to examine the hypotheses. Our results show that perceived convenience positively influences perceived value, while privacy risk and financial risk negatively influence perceived value and trust. Although perceived novelty has no significant effect on perceived value and trust, perceived value positively influences trust, and both of them have a positive effect on the intention to use. Furthermore, our moderation analysis indicates that the influence of perceived value on the intention to use is stronger among users who consider facial information to be more sensitive. The theoretical implications for research as well as the practical implications for practitioners are also discussed.     

The gift of authoritarian experience: The determinants of online political efficacy in new democracies

This paper represents an effort to investigate the impact of perceived new media credibility on citizens’ online political efficacy (OPE) in new democracies. Unlike their counterparts in mature democracies and outright authoritarian states, citizens of new democracies face the challenge to reconcile their democratic present with the authoritarian past. Their online political behaviors therefore are likely to be shaped by the interaction between democratic realities and authoritarian legacies or memories. The current study argues that in new democracies, the relationship between credibility of new media and OPE is contingent upon citizens’ authoritarian experience. Since authoritarian experience delivers a sense of relative acquisition through a comparison mechanism, it is expected to play a positive role in moderating the association between credibility of new media and OPE. We test the proposition by studying a sample of Taiwanese residents interviewed during the 2015 Taiwan Communication Survey (TCS). Our empirical analyses produce strong supportive evidence for the positive conditioning effect of authoritarian experience and the result is robust to different model specifications and alternative measures of authoritarian experience.     

Public interest in continued use of Chinese government portals: A mixed methods study

Public adoption of policies detailed on government websites is an important topic in the field of e-government research, and researchers have mainly focused on the key factors that influence initial adoption. However, there has been much less discussion on factors influencing the continued use of government websites. This study identifies and tests a theoretical model that predicts consumers’ intentions to continue using government portals, using a mixed methods approach based on Grounded Theory. To construct a theoretical framework of public interest in continued use of government information portals, we interviewed 56 respondents and coded the interview data. Next, we tested the resulting model using data collected from a questionnaire-based survey of 354 users. The Structural Equation Modeling (SEM) results indicate that continued use is influenced by psychological perception, user characteristics, service parameters of the government portals and the government’s idea. Of these, psychological perception was found to have the strongest effect. These findings enrich the theoretical system of e-government public adoption of intention and have important practical significance for the development of Chinese government portals.     

BIM技术在绿心公园建设工程中的应用

本文以BIM技术在绿心公园地下停车库及配套商业用房建设工程项目中的应用为例,分析BIM技术在项目设计建模、施工项目管理和施工组织设计中的应用及应用效果。针对绿心公园建筑的特点对建筑工程进行信息化参数化设计、碰撞检查、管综调整、布局管理以及成本管理等BIM技术的应用,使项目过程可视化,提前发现并解决图纸设计、总体布局等问题,改进方案,最后以BIM平台为核心,将施工过程中的有用信息载入各专业模型,利用BIM模型的三维可视、可计算分析的特点,为项目管理提供数据支撑,使管理人员更有效的进行决策以及精细化管理。     

Computer aided fencing sports wearable equipment based on FPGA microprocessor and sensors

The current pattern in the advancement of sensor frameworks looks for approaches to give more precision and goal, while simultaneously diminishing the size and force utilization. The utilization of Field Programmable Gate Arrays (FPGAs) gives explicit reprogrammable equipment innovation that can be appropriately abused to acquire a reconfigurable sensor framework. This variation ability empowers the execution of complex applications utilizing the fractional configurability at a low-power utilization. For profoundly requesting undertakings FPGAs have been supported because of the high proficiency gave by their design adaptability (parallelism, on-chip memory, and so forth), configurability and amazing execution in the advancement of calculations. FPGAs have improved the presentation of sensor frameworks and have set off an away from in their utilization in new fields of use. Another age of more astute, reconfigurable and lower power utilization sensors is being created in Spain dependent on FPGAs. These improvements is introduced, portraying also the FPGA innovations utilized by the distinctive exploration gatherings and giving a review of future examination inside this field. It depends on a Field Programmable Gate Array (FPGA) gadget. On account of this the equipment is entirely adaptable and gives the stage one of a kind open doors for exploration of a wide scope of models, applications and sign handling calculations. The stage has been named wearable games equipment's, for–Attached Sensor Platform.     

Internet enterprise organization strategy based on FPGA and machine learning

Internet has been a favorable theme for numerous studies and reports over the past decade. However, there is a lack of empirical evidence on the impact of the use of the Internet marketing campaign, and its performance results generated by the system is. Machine learning physical organization is a network, which can be any operation within the sensing range, transmission and processing capabilities. FPGA growth in the use of machine learning organization and start to change our daily lives. Use your organization's business can help improve business efficiency. However, enterprises are facing many challenges these organizations to integrate traditional ecosystem. We conducted an extensive literature review in this study to determine the social integration with FPGA technology issues enterprise information systems. We provide guidelines, strategies and best practices for IT staff and management to be integrated into the FPGA organizational success of the enterprise information system.