다중혈관 관상동맥 환자에서 y-문합을 이용하여 양쪽 내흉동맥만을 사용한 우회술의 조기 성적

http://ieeexplore.ieee.org/iel5/5610941/5624686/05624745.pdf

Power electronics

The Transmission Control Protocol.

This paper presents a review of the turn of events and points of view of biogas in and its utilization for power, heat and in transport in the European Union (EU) and its Member States. Biogas creation has expanded in the EU, empowered by the sustainable power strategies, notwithstanding monetary, ecological and atmosphere benefits, to arrive at 18 billion m3 methane (654 PJ) in 2015, speaking to half of the worldwide biogas creation. The EU is the world chief in biogas power creation, with more than 10 GW introduced and various 17,400 biogas plants, in contrast with the worldwide biogas limit of 15 GW in 2015. In the EU, biogas conveyed 127 TJ of warmth and 61 TWh of power in 2015; about half of absolute biogas utilization in Europe was bound to warm age. Europe is the world's driving maker of biomethane for the utilization as a vehicle fuel or for infusion into the petroleum gas network, with 459 plants in 2015 creating 1.2 billion m3 and 340 plants taking care of into the gas network, with a limit of 1.5 million m3. Around 697 biomethane filling stations guaranteed the utilization 160 million m3 of biomethane as a transport fuel in 2015.

https://www.longdom.org/open-access/biogas-developments-and-perspectives-in-europe.pdf

Biogas Developments and Perspectives in Europe

A club is a voluntary group of individuals who derive mutual benefit from sharing one or more of the following: production costs, the members' characteristics, or a good characterized by excludable benefits. When production costs are shared and the good is purely private, a private good club is being analyzed (McGuire 1972; Wiseman 1957). If membership characteristics differ and motivate sharing, then membership fees will differ among members (DeSerpa 1977; Scotchmer 1994b; Scotchmer and Wooders 1987). Such fees are nonanonymous , inasmuch as a fee structure is related to the identity and attributes of a member. The focus of our analysis is the sharing of an excludable (rivalrous) public good, which we term a club good . Unless otherwise specified, crowding is assumed to be independent of the individual and hence anonymous. A number of aspects of the club definition deserve highlighting. Privately owned and operated clubs must be voluntary; members choose to belong because they anticipate a net benefit from membership. Thus, the utility jointly derived from membership and from the consumption of other goods must exceed the utility associated with nonmembership status. Furthermore, the net gain in utility from membership must exceed or equal membership fees or toll payments. This voluntarism serves as the first characteristic by which to distinguish between pure public goods and club goods. In the case of a pure public good, voluntarism may be absent, since the good might harm some recipients (e.g., defense to a pacifist, fluoridation to someone who opposes its use).

The theory of externalities, public goods, and club goods: Homogeneous clubs and local public goods

Artificial Neural Networks (ANNs) have been recently exploited to develop suitable models for path loss predictions . However, the ANN algorithm that provides the best results has not been well established neither has the models been characterized to limit their performances and applications in the various frequency bands. In this paper, we characterize the propagation path loss in the Very High Frequency Band (VHF) using different ANN learning algorithms and activation functions based on the measurement data collected at 203.25 MHz in an urban environment (Ilorin, Nigeria). The prediction results of Hata, COST 231, ECC-33, and Egli models at varying distances were fed into a feed-forward neural network and mapped to each corresponding measured path loss value. Statistical analysis shows that the ANN model that was trained with hyperbolic tangent activation function (HTAF), Levenberg-Marquardt (LM) algorithm, and 80 neurons in the hidden layer produced the most satisfactory results with Mean Error (ME), Root Mean Square Error (RMSE), Standard Deviation (SD), and coefficient of determination (R2) values of 3.75 dB, 5.10 dB, 3.46 dB, and 0.95. However, the HTAF with Scale Conjugate Gradient (SCG) is more stable even though its prediction errors were slightly higher than that of LM.

Artificial Neural Network Model for Path Loss Predictions in the VHF Band

The Internet of Things (IoT) and the world of Smart Systems are ushering in an era where people, machines, devices (e.g. sensors) and processes are all interconnected and able to interact seamlessly with one another. Business and IT leaders predict they will see an increase of more than one-third (33%) in revenues from the use of smart technologies over the next five years. Smart system is the future of technology with so many different applications to it. We present in this project a system developed for a more convenient outdoor navigation. It involves the development of a power harnessing smart shoe to aid navigation and reduce the dependency of individuals on maps i.e. the need to constantly look at the maps for direction rather than focusing on the road. The project uses the Arduino UNO microcontroller as the brain box of the designed system. The microcontroller was programed to achieve the various tasks needed in this project. The smart shoe is fitted with piezo-electric crystals which are pressure sensors generating the power required for the system, a Bluetooth module to interface with the mobile application which was programmed specifically for the shoe, and also vibrator motors which act as the output signal that is felt by the user to help inform them which way to turn. This project proffers solutions to the setbacks in navigation of the user with accuracy and focus.

Development of a Power-harnessing Smart Shoe System with Outdoor Navigation

Academic institutions and research organisations are fast becoming very corporate in the design and setup of the workspace. There is an ever-present need for readily available information and sophisticated means of communication. As a result, information and communication technologies are being deployed for application in various fields of endeavour some of which include virtual offices. A virtual office is essentially a simulated corporate environment that gives subscribers access to collaborative work related features, which act as a means of improving the way work is carried out in an organisation. Several organisations opt for the software services rendered by virtual offices because of their cost effectiveness and tendency to boost the collective productivity of these organisations. For reasons as such, the existence of virtual office software suites have become rampant, but the availability of its services are at a cost. This paper reports the design and implementation of an Educational Virtual Office using Free and Open-Source Software (FOSS) to relieve corporate organisations of the costly burdens of existing proprietary virtual office software. Tools used in achieving this feat are Drupal Web Content Management System (WCMS), readily available FOSS and a couple of other freeware, intelligently integrated to form a composite suite. The developed educational virtual office suite was deployed in the Department of Electrical and Information Engineering of Covenant University. A usability (user satisfaction) test was conducted. Analysis of the test results showed that questions related to user satisfaction scored more “Strongly Agree” and “Agree” points than “Disagree” and “Strongly Disagree”. This is a pointer to the fact that features such as the GUI of the web application and its navigation proved to have little or no challenges as at when the tests were carried out. Deployment of the developed educational virtual office suite has the significant advantage of low cost in comparison with proprietary virtual office suites with similar functionality. The fact that the suite was developed entirely using FOSS gives it all the attendant advantages that accrue from the employment of same from the system design bottom-Up. Such advantages as easy access to source code, which engenders easy upgrade of the component parts, come naturally.

Foss implementation of an educational virtual office suite

Most data-intensive applications are confronted with the problems of I/O bottleneck, poor query processing times and space requirements. Database compression alleviates this bottleneck, reduces disk space usage, improves disk access speed, speeds up query response time, reduces overall retrieval time and increases the effective I/O bandwidth. However, random access to individual tuples in a compressed database is very difficult to achieve with most of the available compression techniques. This paper reports a lossless compression technique called nondifferential augmented vector quantization. The technique is applicable to a collection of tuples and especially effective for tuples with numerous low to medium cardinality fields. In addition, the technique supports standard database operations, permits very fast random access and atomic decompression of tuples in large collections. The technique maps a database relation into a static bitmap index cached access structure. Consequently, we were able to achieve substantial savings in space by storing each database tuple as a bit value in the computer memory. Important distinguishing characteristics of our technique are that tuples can be compressed and decompressed individually rather than a full page or entire relation at a time. Furthermore, the information needed for tuple compression and decompression can reside in the memory. Possible application domains of this technique include decision support systems, statistical and life databases with low cardinality fields and possibly no text fields.

/pdf/compression-of-high-dimensional-data-spaces-using-non-4hdrv3hxj3.pdf

Compression of High-dimensional Data Spaces Using Non-differential Augmented Vector Quantization

Modelling of ill-defined or unpredictable systems can be very challenging. Most models have relied on
conventional mathematical models which does not adequately track some of the multifaceted challenges
of such a system. Load balancing, which is a self-optimization operation of Self-Organizing Networks
(SON), aims at ensuring an equitable distribution of users in the network. This translates into better user
satisfaction and a more efficient use of network resources. Several methods for load balancing have been
proposed. While some of them have a very buoyant theoretical basis, they are not practical. Furthermore,
most of the techniques proposed the use of an iterative algorithm, which in itself is not computationally
efficient as it does not take the unpredictable fluctuation of network load into consideration. This chapter
proposes the use of soft computing, precisely Adaptive Neuro-Fuzzy Inference System (ANFIS) model,
for dynamic QoS aware load balancing in 3GPP LTE. The use of ANFIS offers learning capability of
neural network and knowledge representation of fuzzy logic for a load balancing solution that is cost
effective and closer to human intuition. Three key load parameters (number of satisfied user in the net-
work, virtual load of the serving eNodeB, and the overall state of the target eNodeB) are used to adjust
the hysteresis value for load balancing.

Aderemi A. Atayero

Papers

Artificial Neural Network Model for Path Loss Predictions in the VHF Band

Development of a Power-harnessing Smart Shoe System with Outdoor Navigation

Foss implementation of an educational virtual office suite

Compression of High-dimensional Data Spaces Using Non-differential Augmented Vector Quantization

ANFIS Modeling of Dynamic Load Balancing in LTE