Performance Analysis In Order Research Articles

Analysis for the sustainability of intelligent transport systems in the United States

The economic, social, and ecological wellbeing of a society are all negatively impacted by the traffic congestion issue. Intelligent Transportation Systems (ITS) have been used to better sustainable transportation systems across the globe, helping to lessen the unsustainable effects of the clogged highway issue. The goal may be reached by examining the positive effects ITS deployments have had on urban areas in the United States. In addition to the statewide findings, we also do in-depth research on the economies of seven major Florida communities. A fuzzy-data envelopment analysis (DEA) technique is used instead of the conventional DEA approach for sustainability performance analysis in order to take into account the uncertainty in benefit and cost evaluations. While all of the ITS investments are very successful when looking at the cost-benefit ratio, the findings from the fuzzy-DEA method show that some of them are less efficient than others. This research's TBL findings give a fuller picture of the societal and economic benefits of ITS-related congestion reduction, including its drawbacks, indirect indicators, and environmental advantages. In addition, decision makers had positive findings from TBL analysis of ITS investments and comparisons of sustainability performance of ITS initiatives.

Locating liveness in holographic performances: technological anxiety and participatory fandom at Vocaloid concerts

AbstractThis article addresses the growing global phenomenon of automated holographic concerts given by virtual pop stars called ‘Vocaloids’. Alternately acclaimed by music journalists as ‘the future of music’ and derided as ‘a robo-show, a concert simulacrum’, Vocaloid concerts across the past 10 years have sparked feelings of anxiety and prompted debate about the loss of human interaction at pre-programmed concerts. In this article, I extend Vocaloid research from recent work that addresses Vocaloid's creative online community into the middle of arenas of screaming fans, drawing on participant observation, reception history and live performance analysis in order to demonstrate the importance of participatory fandom in Vocaloid culture and its implications for 21st-century concepts of liveness. I argue that the creation of cultural meaning and the most significant interactions occur within the audience itself, when online amateur music-making communities intersect with participatory fandom at live concert events.

Farmer Preference to High Elevation Rice Technological Packages for Accelerating Technological Dissemination (A case Study in Humbang Hasundutan Regency)

Accelerating the introduction of a new technological package is needed to increase the productivity of high elevation puddled rice in Humbang Hasundutan. The objectives of the study are to find out the perception of the existence of technological packages and farmers' preference for a new technological package. The study used a survey method with primary data gathered using questionnaires. The criteria of locations and respondents were used to obtain relevant respondents and data concerning their knowledge of high elevation puddled rice cultivation. The collected data were processed by using Importance Performance Analysis in order to find out the level of Importance and Satisfaction of the indicators and the valued aspects in the technological package components. The results of the study showed that the socio-economic aspects had to be heeded in organizing the technological package. Indicators having a high level of importance and a low level of satisfaction consisted of production cost, quality of seeds, farmer groups empowerment, technology information institution, capital cost, agricultural tools and machines, pest control, sales price, irrigation canals, and farm roads. On the other hand, introducing new superior seeds, productivity attribute and planting age were important indicators for local farmers as to improve the quality of existing seeds. Farmers group expected that the technological package had a high level of productivity, better access to input, low cost, and good user-friendliness in its application.

Integrated energy, daylighting and visual comfort analysis of window systems in patient rooms

This study investigates the influence of glazing characteristics and shading device configuration on energy use and cost, daylighting performance and visual comfort. A typical patient room from a hospital design in Belgium is used as a baseline scenario and different window design alternatives are explored through parametric modeling. Based on the comparative analysis, the article discusses potential design options that allow for energy efficient and daylit patient rooms with higher visual comfort. The methodology combines dynamic energy simulations, daylighting and glare analysis. The results show that glazing characteristics and shading device configuration have a major impact on energy use/cost, daylighting and visual comfort and to achieve an overall good performance, selecting the right window configuration is essential. The findings indicate that pairing windows with suitable louvers configuration leads to a 40–80% reduction in cooling loads while maintaining sufficient daylighting levels (sDA300/50%>55) and reducing the UDI>3000lux values ca. 70%. The results suggest that the ASE metric may not provide a realistic picture regarding glare probability when we are aiming at controlling glare in specific locations within the room. This study emphasizes the need for integrated performance analysis in order to obtain a correct insight into the window systems performance. The proposed integrated approach can hence support design decisions regarding the most preferred window system to better fulfill the project objectives.

Nanostructured metal oxide semiconductor-based sensors for greenhouse gas detection: progress and challenges.

Climate change and global warming have been two massive concerns for the scientific community during the last few decades. Anthropogenic emissions of greenhouse gases (GHGs) have greatly amplified the level of greenhouse gases in the Earth's atmosphere which results in the gradual heating of the atmosphere. The precise measurement and reliable quantification of GHGs emission in the environment are of the utmost priority for the study of climate change. The detection of GHGs such as carbon dioxide, methane, nitrous oxide and ozone is the first and foremost step in finding the solution to manage and reduce the concentration of these gases in the Earth's atmosphere. The nanostructured metal oxide semiconductor (NMOS) based technologies for sensing GHGs emission have been found most reliable and accurate. Owing to their fascinating structural and morphological properties metal oxide semiconductors become an important class of materials for GHGs emission sensing technology. In this review article, the current concentration of GHGs in the Earth's environment, dominant sources of anthropogenic emissions of these gases and consequently their possible impacts on human life have been described briefly. Further, the different available technologies for GHG sensors along with their principle of operation have been largely discussed. The advantages and disadvantages of each sensor technology have also been highlighted. In particular, this article presents a comprehensive study on the development of various NMOS-based GHGs sensors and their performance analysis in order to establish a strong detection technology for the anthropogenic GHGs. In the last, the scope for improved sensitivity, selectivity and response time for these sensors, their future trends and outlook for researchers are suggested in the conclusion of this article.

Implementation analysis of solid waste management in Ludhiana city of Punjab

The uphill task of managing solid waste has influenced the Ludhiana city of Punjab. To investigate the current scenario and to carry out the implementation analysis of solid waste management (SWM) in the city, the present study was undertaken. This study focusses on analysing the factors that are responsible for hindering successful policy implementation of SWM in the city. For research purposes, a mixed methodology of quantitative and qualitative analysis was adopted to collect primary and secondary data from various sources. Structured Questionnaires were framed for household survey in the city in accordance with the variables of the study. Discussions and interviews were held with selected officers of municipal solid waste departments of the city. This research found out various financial, human resource, political and logistical constraints affecting the successful implementation of SWM program in the city. The data was analysed using importance performance analysis in order to evaluate the factors that need to be addressed to improve the solid waste management in the city. At the implementation stage of solid waste management, administrative constraints such as lack of modern technology and equipments, insufficient land for dumping and disposal and lack of integrated solid waste management (ISWM) program provide hindrances to the successful implementation. Based on the analysis, the study proposes various policy recommendations in terms of administrative challenges to improve SWM in the city.

Analysis of Various Credit Card Fraud Detection Techniques

Data mining is a technique that is applied to mine valuable information from the rough data. A prediction analysis is an approach that has the potential for forecasting future possibilities based on the recent data. The CCFD is the challenge of prediction in which fraudulent transactions are predicted based on certain rules. There are several stages included in the detection of fraud in credit cards. Various classification algorithms are reviewed with respect to the performance analysis in order to detect fraud in the credit card. The performance is measured with regard to precision.

Aspectos metrológicos na estimativa da atividade administrada em pacientes de medicina nuclear

In order to investigate the performance quality of routine measurements of Nuclear Medicine Services (NMS), the National Metrology Laboratory of Ionizing Radiation/Institute of Radiation Protection and Dosimetry (LNMRI/IRD) has been conducting, since 1998, a program of comparison for activity measurements of radiopharmaceuticals administered to patients in nuclear medicine. Correction factors are determined from the result of performance analysis in order to determine with better accuracy the activity to be administered to the patients.

Spectral-Efficient Green Wireless Communications via Cognitive UWB Signal Model

This paper focuses on spectral lines suppression for non-coherent impulse-radio ultra-wideband (IR-UWB) signals in the presence of pulse attenuation and timing jitter. Particular attention is devoted to severely unbalanced (i.e. non-uniform distributed) data sources where a unified spectral analysis is considered for both uncorrelated and correlated M-ary biorthogonal data-stream scenarios. Indeed, the specific novelty insights of this paper are as follows: i) Proposal of a new spectral-efficient signal model as a modified version of transmitted-reference (TR) approach, where each transmitted symbol is represented by a preamble Data-based Statistical Reference (DSR) followed by a set of transmitted data pulses and within this context, the preamble signal is designed to eliminate spectral lines via an adaptive monitoring of data-stream statistics as the optimal spectral policy; ii) Performance analysis in order to derive optimal signal parameters; iii) Evaluation of the system capabilities over different predefined operational modes.

PERBANDINGAN PEMEROLEHAN BAHASA INGGRIS SEBAGAI BAHASA ASING ANTARA PEMBELAJAR PEREMPUAN DAN PEMBELAJAR LAKI-LAKI MAHASISWA PROGRAM STUDI SASTRA INGGRIS UNIVERSITAS DEHASEN BENGKULU

<p>The article talks about the process of acquiring English as a foreign language between male and female learners in English department, UNIVED. Data in the form of document were collected through students writing on descriptive and narrative texts from 28th September 2015 to 31th October 2015. The data were analysed through performance analysis in order to find out learners’ acquisition in composing descriptive and narrative text in English, to observe the process of acquiring English grammatical, to investigate learners’ language learning level through their acquisition on English word formation and to compare learners’ acquisition on foreign language based on their gender differences.</p><p>The findings show that : (1)Description text is a genre that have been well mastered by learners of English in UNIVED (2)Learners have a low ability in acquiring English grammar with <em>misformation an</em><em>d </em><em>misapplied</em> error<em> </em>category (3)Learners are found in Elementary level based on their acquisition on word format (4) Male learners exceed female learners in acquiring English. In general, the study shows that the acquisition of English as a Foreign Language of male and female learners in UNIVED is in low category.</p><p> </p><p><strong>Keywords: descriptive, narrative, grammar, word format, foreign language acquisition.</strong></p>

Spectral-Efficient Green Wireless Communications via Cognitive UWB Signal Model

This paper focuses on spectral lines suppression for non-coherent impulse-radio ultra-wideband (IR-UWB) signals in the presence of pulse attenuation and timing jitter. Particular attention is devoted to severely unbalanced (i.e. non-uniform distributed) data sources where a unified spectral analysis is considered for both uncorrelated and correlated M-ary biorthogonal data-stream scenarios. Indeed, the specific novelty insights of this paper are as follows: i) Proposal of a new spectral-efficient signal model as a modified version of transmitted-reference (TR) approach, where each transmitted symbol is represented by a preamble Data-based Statistical Reference (DSR) followed by a set of transmitted data pulses and within this context, the preamble signal is designed to eliminate spectral lines via an adaptive monitoring of data-stream statistics as the optimal spectral policy; ii) Performance analysis in order to derive optimal signal parameters; iii) Evaluation of the system capabilities over different predefined operational modes.

Los Estudios Estratégicos en El Salvador: Su potencial para el desarrollo de centros prospectivos de pensamiento avanzado para la seguridad nacional y la defensa

Radiografiar mediante el análisis crítico y de rendimiento la situación actual de los estudios estratégicos y prospectivos en El Salvador, resulta fundamental para diseñar programas conducentes al desarrollo de centros prospectivos y otras iniciativas institucionales de pensamiento avanzado. Hacerlo desde el legado y las proyecciones de dos experiencias importantes del sector público, constituye la metodología básica apropiada para tales menesteres. Lógicamente el examen minucioso de los mismos concierne al perfil de investigadores, la generación de publicaciones élites altamente especializadas y su potencial aporte e incidencia en materia de impactos en los niveles y dimensiones institucionales, estratégicas y estructurales. Con las limitaciones del caso, el planteamiento clave acá concierne al desafío de la movilización de este tipo de investigaciones, proceso que genere en simultáneo cultura estratégica en el Estado, estimule perfiles profesionales ad hoc para áreas críticas de decisión y propicie finalmente plataformaseducativas para la preparación de alto nivel en asuntos de seguridad nacional.DOI: http://dx.doi.org/10.5377/rpsp.v4i2.1764

Special Issue on Automatic Application Tuning for HPC Architectures

High Performance Computing architectures have become incredibly complex and exploiting their full potential is becoming more and more challenging. As a consequence, automatic performance tuning (autotuning) of HPC applications is of growing interest and many research groups around the world are currently involved. Autotuning is still a rapidly evolving research field with many different approaches being taken. This special issue features selected papers presented at the Dagstuhl seminar on “Automatic Application Tuning for HPC Architectures” in October 2013, which brought together researchers from the areas of autotuning and performance analysis in order to exchange ideas and steer future collaborations.

Special issue on automatic application tuning for HPC architectures

High Performance Computing architectures have become incredibly complex and exploiting their full potential is becoming more and more challenging. As a consequence, automatic performance tuning (autotuning) of HPC applications is of growing interest and many research groups around the world are currently involved. Autotuning is still a rapidly evolving research field with many different approaches being taken. This special issue features selected papers presented at the Dagstuhl seminar on “Automatic Application Tuning for HPC Architectures” in October 2013, which brought together researchers from the areas of autotuning and performance analysis in order to exchange ideas and steer future collaborations.

스마트 기기에서 유해 멀티미디어 콘텐츠 판별 메커니즘 및 성능 분석

본 논문에서는 최근 스마트폰과 지능형 로봇 분야에서 급속도로 확산되고 있는 유해 멀티미디어의 유해성을 판별하기 위해 유해정보 판별 메커니즘 및 판별 메커니즘 성능 분석에 대해서 설명한다. 이러한 판별 기술들을 기반으로 멀티미디어(이미지, 비디오) 기반의 개별 유해 특징 요소를 정의한다. 또한 시각적 특징을 모델링하여 유해 멀티미디어 콘텐츠의 유해성을 분석한다. In this paper, Recently, we describe the distinction mechanism analysis and injurious distinction mechanism performance analysis in order to determine harmfulness of the injurious multimedia which is being rapidly spread in the smart phone and Intelligent Robots. Based on the injurious mechanism distinction technologies, We defined individual injurious characteristics elements of multimedia(images and videos). Also, We analyze harmfulness of the injurious multimedia content by the visual characteristics modeling.

과학기술정보 관리·유통사업의 경제성 분석 모델 수립에 관한 연구

급변하는 환경변화에 대응하고 과학기술정보 관리 유통사업에 대한 연구수행의 효율화 및 성과 활용, 확산을 극대화하기 위해 경제성 분석 모델을 수립하였다. 과학기술정보 관리 유통사업은 일반적인 연구개발과 그 목적 자체가 다르다. 경제적 성과를 창출하기 위한 상업용 연구개발이 아닌 공공서비스 제공을 목적으로 한 연구개발이 대부분인 상황에서 경제적 성과를 분석하기 위한 경제성 분석 모델을 개발했다는 데 본 논문의 의의가 있다. 특히 이질적인 연구사업에 대한 경제성 분석 모형 및 절차적 방법론의 사전 구축을 통하여 향후 국가 과학기술정보 관리 유통사업에 대한 경제성 분석과 R&D 효율성 제고에 기여할 것으로 기대된다. We established economic models for economic performance analysis in order to respond to changes in a rapidly changing environment. We tried to maximize business efficiency and performance of science and technology information management distribution project. The science and technology information management distribution project is significantly different from general R&D project. In this paper, it is meaningful to develop economic models to analyze economic outcomes for science and technology information management distribution project. We anticipate that these models will contribute greatly to economic performance analysis for science and technology information management distribution project.

MIMO Throughput Effectiveness for Basic MIMO OTA Compliance Testing

During the March 2011 meeting of the CTIA MIMO OTA Subgroup (MOSG), the members agreed that the subgroup should first determine “what” aspects of a MIMO-capable device require evaluation; then the group should determine “how” to go about making these measurements. In subsequent meetings of MOSG, new yet-unnamed figures of merit were asked for in order to provide a solution to the carriers' requirements for LTE MIMO OTA evaluation. Furthermore, the December 2011 3GPP RAN4 status report on LTE MIMO OTA listed the evaluation of the use of statistical performance analysis in order to minimize test time and help ensure accurate performance assessment as an open issue. This contribution addresses these petitions by providing four new figures of merit, which could serve the purpose of evaluating the operators' top priorities for MIMO OTA compliance testing. The new figures of merit are MIMO Throughput Effectiveness (MTE), MIMO Device Throughput Effectiveness (MDTE), MIMO Throughput Gain (MTG), and MIMO Device Throughput Gain (MDTG). In this paper, MTE is evaluated using the recently available LTE MIMO OTA RR data from 3GPP.

A hierarchy of performance analysis techniques for adaptive active control of sound and vibration

Active control for silencing sound and vibration has recently become the subject of much investigation and is now being enhanced by the advent of adaptive filtering techniques. In this paper, an approach to adaptive active control performance analysis is developed that involves a hierarchy of techniques, starting with an ideal simplified problem and progressively adding practical constraints and other complexities. Four levels of performance analysis are defined: Level I derives fundamental performance limits given continuous measurements over the entire performance surface; level II brings in the practical constraint of a fixed number of sensors at discrete locations; level III incorporates knowledge of the transfer function structure; and, level IV adds in all of the other practical effects and design constraints required for detailed performance calculations. At each step, a degree of confidence is gained and a benchmark is established for comparison and cross-checking with the next level of complexity. Following this methodical process leads to a baseline architecture, which can then be subjected to detailed performance analysis in order to arrive at a final design. The four levels of performance analysis are discussed in detail and are illustrated by numerical example for a vibrating cantilever beam using a graphics display that was developed for real-time interactive design.