Performance Evaluation Of System Research Articles

Socio-user Context Aware-Based Recommender System: Context Suggestions for A Better Tourism Recommendation

The existing tourism recommender system model is mostly predictive analytics for destination recommendations (item recommendation). Limited research has been conducted in the discussion of a recommender system model, particularly context suggestion. Thus, it is necessary to develop a recommender system model not only to predict tourism destinations but also to suggest contexts appropriate for tourist preferences (context suggestions). A deep learning method was used to create a model of the socio-user context aware-based recommender system for context suggestions. The attribute used as a label to suggest context was uHijos, uCuisine, uAmbience, and uTransport. The accuracy of the socio-user context aware-based recommender system in suggesting the context of uHijos, uAmbience, and uTransport was 100% with an error rate of 0%. It was found that only the level of recognition of the model in suggesting uCuisine was less accurate (below 30%) with a classification error for more than 70%. Performance evaluation of the socio-user model context-based recommender system was considered efficient, particularly for the evaluation of the level of accuracy, completeness (recall/sensitivity), precision, and a harmonic average of precision and recall (F-score), mainly for label/context of uHijos, uAmbience, and uTransport.

Integrating Abnormal Gait Detection with Activities of Daily Living Monitoring in Ambient Assisted Living: A 3D Vision Approach.

Gait analysis plays a crucial role in detecting and monitoring various neurological and musculoskeletal disorders early. This paper presents a comprehensive study of the automatic detection of abnormal gait using 3D vision, with a focus on non-invasive and practical data acquisition methods suitable for everyday environments. We explore various configurations, including multi-camera setups placed at different distances and angles, as well as performing daily activities in different directions. An integral component of our study involves combining gait analysis with the monitoring of activities of daily living (ADLs), given the paramount relevance of this integration in the context of Ambient Assisted Living. To achieve this, we investigate cutting-edge Deep Neural Network approaches, such as the Temporal Convolutional Network, Gated Recurrent Unit, and Long Short-Term Memory Autoencoder. Additionally, we scrutinize different data representation formats, including Euclidean-based representations, angular adjacency matrices, and rotation matrices. Our system's performance evaluation leverages both publicly available datasets and data we collected ourselves while accounting for individual variations and environmental factors. The results underscore the effectiveness of our proposed configurations in accurately classifying abnormal gait, thus shedding light on the optimal setup for non-invasive and efficient data collection.

Opportunities and challenges of computer aided diagnosis in new millennium: A bibliometric analysis from 2000 to 2023.

After entering the new millennium, computer-aided diagnosis (CAD) is rapidly developing as an emerging technology worldwide. Expanding the spectrum of CAD-related diseases is a possible future research trend. Nevertheless, bibliometric studies in this area have not yet been reported. This study aimed to explore the hotspots and frontiers of research on CAD from 2000 to 2023, which may provide a reference for researchers in this field. In this paper, we use bibliometrics to analyze CAD-related literature in the Web of Science database between 2000 and 2023. The scientometric softwares VOSviewer and CiteSpace were used to visually analyze the countries, institutions, authors, journals, references and keywords involved in the literature. Keywords burst analysis were utilized to further explore the current state and development trends of research on CAD. A total of 13,970 publications were included in this study, with a noticeably rising annual publication trend. China and the United States are major contributors to the publication, with the United States being the dominant position in CAD research. The American research institutions, lead by the University of Chicago, are pioneers of CAD. Acharya UR, Zheng B and Chan HP are the most prolific authors. Institute of Electrical and Electronics Engineers Transactions on Medical Imaging focuses on CAD and publishes the most articles. New computer technologies related to CAD are in the forefront of attention. Currently, CAD is used extensively in breast diseases, pulmonary diseases and brain diseases. Expanding the spectrum of CAD-related diseases is a possible future research trend. How to overcome the lack of large sample datasets and establish a universally accepted standard for the evaluation of CAD system performance are urgent issues for CAD development and validation. In conclusion, this paper provides valuable information on the current state of CAD research and future developments.

Intelligent Video Surveillance System Using Faster Regional Convolutional Neural Networks

Insecurity remains a major challenge in our society. Government, private organizations, and individuals strive to ensure their possessions are kept safe from intruders. Automated surveillance system plays a key role to ensure that the environment is safe with little human intervention. Therefore, object detection, classification, and tracking are vital in building a robust and remote intelligent video surveillance system to aid security in physical environments. Previous studies used enhanced background subtraction techniques for object detection which recorded notable achievements but performance issues in distinguishing humans, pets and vehicles. For insecurity to be solved more intelligently, deep neural network techniques are employed. In this paper, an intelligent video surveillance system that detects only human intrusion and sends an SMS notification to the user with the registered mobile number was developed. The results of the system performance evaluation recorded an accuracy of 96%, a precision of 94%, and a recall of 98%. The experimental results showed that the intelligent system was suitable for detecting human intrusion, thereby contributing to the safety of physical environments.

Multiuser downlink communication for MIMO-VLC system using spatial modulation and optical orthogonal codes

In this paper, a novel multiuser spatial modulation (SM) scheme is proposed and applied in downlink multiple input-multiple output (MIMO) visible light communication (VLC) system. In the transmitter side, each user's temporal symbol is first modulated onto user specific optical orthogonal code (OOC), then being emitted by the specific LED that is activated by its spatial symbol. At the front end of each user terminal (UT), array of photodetectors (PDs) convert optical into electrical signal, then chip-level detection scheme is employed to eliminate multiuser interference (MUI). Two computationally attractive detection algorithms are then proposed: Maximum likelihood (ML) algorithm premises on jointly estimating both temporal and spatial symbols. While the two-stages algorithm first identifies the index of the activated LED followed by a M-ary PAM demodulator to extract the desired user's spatial and temporal symbols sequentially. Extensive Monte Carlo simulations are undertaken to evaluate system performance in terms of the overall symbol error rate (SER). It is demonstrated that the chip-level detection scheme can effectively alleviate MUI and both ML and the two-stages detection algorithms work reliably in various scenarios. Hence, it is promising to apply the proposed scheme in multiuser MIMO-VLC system.

Performance evaluation and multi-objective optimization of an innovative double-stage thermoelectric heat storage system for electricity generation

As the need for renewable energy continues to grow, there is an increasing requirement to utilize systems that offer enhanced performance and efficiency. Consequently, a comprehensive investigation is conducted on a two-stage thermoelectric heat pump. The primary objective is to assess the impact of various influential factors on the overall effectiveness of the system. This exhaustive parametric study aims to provide valuable insights into the system's performance and efficiency. Subsequently, the multi-objective optimization approach considers both technical and economic goal functions. By incorporating these two aspects, the optimization process seeks to achieve the most favorable balance between technical performance and economic feasibility. This allows for a holistic assessment that takes into consideration not only the system's efficiency and effectiveness but also its economic viability in real-world applications. The best optimal solution is discovered using a variety of methods for multi-objective optimization. The optimized system is examined from both an exergy and an exergoeconomic vantage point after the best optimal solution has been identified by comparing the results of various methodologies. The outcomes demonstrate that for the multidimensional analysis of Linmap, the combination of multi-objective particle swarm optimization (MOPSO) and the linear programming technique yields the best optimal solution. The objective functions for this final optimal solution are unit cost of heating power and exergy efficiency, which are defined as 1.91 and 51.28 USD/(kWh), respectively. The results showed that the optimal current for temperature changes of 10, 20, and 30 K is 2.84, 5.53, and 8.1 respectively. Also, the optimal length and number of thermocouples were 0.0055 m, 30, and 15 m respectively in all techniques. The optimal current changes from 23.30 to 27.60 A, which indicates that the optimization technique prefers to adjust the current over other effective parameters. When the thermocouples in the first and second stages are 30 and 15 pairs, respectively, according to the design parameters of the ideal point, the system will work at its peak efficiency.

Retracted: Corporate Environmental Governance Performance Evaluation and Index System Construction under the Mobile Communication System

Retracted: Corporate Environmental Governance Performance Evaluation and Index System Construction under the Mobile Communication System

Comparative Performance Evaluation of Public Transportation Services in Pokhara Valley

This study conducts the performance evaluation of the public transportation system on the Fewa-Begnas route in Pokhara Valley. The performance evaluation of public transportation is conducted from three perspectives (Economic, operational performance of the vehicle, and passenger perception). Passenger perceptions are assessed based on a survey of 9 indicators. The results obtained from the questionnaire survey are analyzed by calculating the index values.
 Also, the operational performance of the vehicle is evaluated using 5 indicators (Journey time, Journey speed, Running time, Running speed, and transport system capacity index). Also, for evaluation from an economic perspective, the total cost per km that occurred to run a public bus and the total revenue generated per km are calculated.

Study on the Application of Balanced Scorecard in A Company

Based on the theory of performance evaluation and the existing research, taking high-tech Electric Company A as the research object, the current situation and the existing problems in performance evaluation are analyzed. Thirdly, based on the balanced scorecard, the index system of performance evaluation is established from four dimensions. Finally, put forward targeted implementation suggestions. Through the research, the conclusion is drawn: the introduction of the balanced scorecard theory, the decomposition of enterprise strategic objectives, and the construction of the performance evaluation system index combining financial dimension and non-financial dimension can improve the performance and enterprise value of A enterprise.

Post-FEC performance evaluation of optical SDM systems with mode-dependent loss

This work is focused on the bit error rate (BER) performance of spatial division multiplexing (SDM) systems over an optical channel with mode-dependent loss or gain (collectively referred to in this paper as MDL). When the latter is non-negligible, the BER has a random nature that introduces the outage probability as an important performance metric for the system design and also impacts on the selection of a forward-error correction (FEC) scheme. In MDL-impaired SDM systems, the pre-FEC BER is a random variable whose probability density function (PDF) and coding gain depend on the signal-to-noise ratio (SNR) at the receiver input. Hence, the common and simple approach of adding a coding gain factor to the pre-FEC BER to obtain the post-FEC BER is not adequate, and numerical simulations are needed. In this paper, we simulate and analyze the performance in terms of post-FEC BER for two proposals of applying low-density parity check (LDPC) FEC encoder/decoder in a SDM system MDL-impaired and an optimal linear multiple input multiple output (MIMO) receiver. In the first one, the LDPC is applied independently to each mode, and in the second one, the LDPC is applied among all SDM modes. Simulation results indicate that the first proposal outperforms the second. Simplifications in the log-likelihood ratio (LLR) computations have also been considered.

Performance Evaluation of Transmission System for Computer-Generated Holograms in Wired/Wireless Connections by Using Lossless Compression

Performance Evaluation of Transmission System for Computer-Generated Holograms in Wired/Wireless Connections by Using Lossless Compression

Green and Efficient Recovery and Optimization of Waste Heat and LNG Cold Energy in LNG-Powered Ship Engines

This study focuses on the Wartsila 9L34DF engine and proposes an integrated system for low-temperature carbon capture using the coupling of cold and hot energy recovery with membrane separation in LNG-powered ships. By utilizing a series dual-pressure organic Rankine cycle (SDPORC) system to recover waste heat from the engine exhaust gases and generate electricity, the system provides power support for the low-temperature carbon capture compression process without consuming additional ship power. To validate the accuracy and reliability of the mathematical model, the simulation results are compared with the literature’s data. Once the model’s accuracy is ensured, the operational parameters of the integrated system are analyzed. Subsequently, working fluid optimization and genetic algorithm sensitive parameter optimization are conducted. Finally, under the optimal operating conditions, the thermodynamic performance and economic evaluation of the integrated system are assessed. The results demonstrate that the net power output of the integrated system is 100.95 kW, with an exergy efficiency of 45.19%. The unit carbon capture cost (UCC) is 14.24 $/ton, and for each unit of consumed LNG, 1.97 kg of liquid CO2 with a concentration of 99.5% can be captured. This integrated system significantly improves the energy utilization efficiency of ships and reduces CO2 emissions.

Interaction Between the Imperial Examination System and Politics and Its Limitations

The imperial examination system has been deeply influenced by the country's system category, historical tradition, and political system, which also determines its limited historical and realistic role in the political system. The imperial examination system extended the selection of officials to the whole society, provided a relatively fair opportunity for China's intellectuals to compete, and gave the country a wide range of political talents and a stable system. The civil service performance evaluation system established on this basis also has a positive reference value for curbing corruption. The imperial examination system in ancient China is an important system in Chinese history, which is an important part of ancient Chinese culture and an important symbol of Chinese history. This paper studies its profound influence and enlightenment on Chinese history and culture. At the same time, the paper studies that the imperial examination system is an important part of Chinese history and culture, which promotes the development of Chinese bureaucracy, cultivates Chinese cultural tradition, promotes social mobility and social progress, and also highlights China's cultural self-confidence and cultural consciousness. While the imperial examination system is an education based on political needs, after education it can impact politics, which forms a circular structure. This reflects interactions between the imperial examination system as the carrier of ' education' and politics. However, in ancient China there will inevitably be some limitations.

AAPM Task Group Report 311: Guidance for performance evaluation of fluorescence-guided surgery systems.

The last decade has seen a large growth in fluorescence-guided surgery (FGS) imaging and interventions. With the increasing number of clinical specialties implementing FGS, the range of systems with radically different physical designs, image processing approaches, and performance requirements is expanding. This variety of systems makes it nearly impossible to specify uniform performance goals, yet at the same time, utilization of different devices in new clinical procedures and trials indicates some need for common knowledge bases and a quality assessment paradigm to ensure that effective translation and use occurs. It is feasible to identify key fundamental image quality characteristics and corresponding objective test methods that should be determined such that there are consistent conventions across a variety of FGS devices. This report outlines test methods, tissue simulating phantoms and suggested guidelines, as well as personnel needs and professional knowledge bases that can be established. This report frames the issues with guidance and feedback from related societies and agencies having vested interest in the outcome, coming from an independent scientific group formed from academics and international federal agencies for the establishment of these professional guidelines.

Valorisation of Chitosan Natural Building Block as a Primary Strategy for the Development of Sustainable Fully Bio-Based Epoxy Resins.

The non-toxic and biodegradable nature of chitosan makes it a valuable resource offering promising opportunities in the development of bio-based materials with enhanced mechanical and thermal properties. In this work, the combination of epoxidized linseed oil, oxalic or citric acids, and chitosan (CHI) as a curing accelerator presents an attractive strategy to create bio-based and sustainable thermosetting materials. This article aims to provide a comprehensive exploration of the systems reactivities, characteristics, and performance evaluation of the designed bio-thermosets. Both the nature of the two carboxylic acids and the presence of chitosan are shown to have a big impact on the thermomechanical properties of the developed networks. While oxalic acid favours the formation of elastic networks, with low Tg values (increasing with CHI content between 0.7 and 8.5 °C) and relatively low Young's modulus (~2.5 MPa), citric acid promotes the formation of very dense networks with lower mass of the segments between the crosslinks, having 20 times higher Tg values (from 36 to 45 °C) and ~161 times higher Young's modulus (from 94 MPa up to 404 MPa in these systems). The CHI has a strong impact on the curing reaction and on the overall properties, by increasing the materials' performance.

Retracted: Performance Evaluation System Based on Online Monitoring of Internet of Things

Retracted: Performance Evaluation System Based on Online Monitoring of Internet of Things

Performance evaluation of a high-efficient hybrid adsorption refrigeration system for ultralow-grade heat utilization

50–80 °C heat sources are abundant in renewable energy areas and industrial processes. However, they are difficult to be effectively used due to their ultralow grade. In order to solve this problem, this paper presents a high-efficient hybrid adsorption refrigeration system combing with desiccant coated heat exchangers. In this study, the performance of the hybrid system is experimentally investigated and parametric effects are fully discussed. Results indicate that the hybrid system operates efficiently across a wide heat source range of 50–80 °C. A high-temperature hot water facilitates the cooling production of the hybrid system, while a low-temperature hot water is more beneficial to the COP promotion. Also, a lower cooling water temperature, higher air temperature, higher relative humidity and longer switch time can enhance system performance. The optimal cooling capacity is quantified as 4579 W when powered by 80 °C hot water and the COP reaches its maximum of 0.673 under a heat source temperature of 50 °C. Comparison results show that compared with present systems, the hybrid system has greater adaptability as well as higher efficiency in utilizing 50–80 °C ultralow-grade heat sources, and can satisfy the simultaneous demand for cooling and dehumidification, which offers a promising way to high-efficient energy utilization and sustainable development.

Performance evaluation of a novel multi-pinhole SPECT system

In this work, the performance of a novel multi-pinhole SPECT (MPH SPECT) system based on Insight NM/CT Pro (Beijing Novel Medical Equipment Ltd) was evaluated. The sensitivity, spatial resolution, and quantitative accuracy of the MPH system were evaluated in conjunction with the methods in NEMA NU 1-2018. In addition, the performance of MPH in myocardial perfusion imaging was validated by phantom study and clinical study. The average sensitivity of MPH SPECT at the center, half, and edges of field of view (FOV) were 510 count s−1 MBq−1 (cps/MBq), 490 ± 85 cps/MBq and 540 ± 170 cps/MBq, respectively; the spatial resolution is about 6.5 ± 0.7 mm, 6.4 ± 0.8 mm, and 5.4 ± 0.4 mm for X, Y, and Z axes, respectively; the quantitative accuracy is superior to the conventional SPECT with low-energy high-resolution collimator (LEHR SPECT). The images of the phantom study and clinical study demonstrated the MPH SPECT can take only 5 minutes to obtain myocardial images with high image quality.

Performance evaluation of stationary and mobile radiography systems in Indonesia.

An analysis and evaluation has been carried out on each test parameter contained in the compliance test of 1016 stationary and 480 mobile radiography devices compiled by the Indonesian Nuclear Energy Regulatory Agency (Badan Pengawas Tenaga Nuklir, BAPETEN) from 2019 to 2020. The data were categorised and analysed based on the devices' age to observe the correlation of performance with the age of the X-ray machine. In addition, the implementation level of the Automatic Exposure Control (AEC) system test of the stationary radiography X-ray modality is also reviewed. The results of the evaluation showed that 89.9% of the stationary radiography devices unconditionally pass the test, 5.2% are in the status of 'conditional pass' and 4.9% fail the test. On the other hand, 84.8% of mobile radiography devices unconditionally pass the test, 2.1% are in the status of 'conditional pass' and 13.1% fail the test. From the evaluation conducted, there is no observable correlation between the age of the modality and the results of the compliance test. Overall, only 9.2% of stationary radiography X-ray compliance test reports have included the AEC test since it is not a mandatory requirement of the national protocol.

Mathematical Modeling and Validation of Solar-Induced Ventilation System for Vehicle Cabin Cooling in Hot Parking Conditions

Exposure to direct sunlight raises interior temperatures in vehicle cabins, risking heat-related illnesses. Solar passive techniques mitigate this issue, especially during hot parking conditions. However, a comprehensive mathematical model encompassing both solar chimney and vehicle cabin is lacking. This study develops a novel mathematical model to predict temperature distribution and airflow rate, enhancing system performance evaluation. The system comprises a solar air collector with an adjustable arm mounted on the vehicle's roof. The model was validated theoretically and experimentally. The experimental work is conducted with the physical model with an air gap of 0.1 m, 0.77 m width, and a 1.12 m collector length under outdoor conditions. Results indicated a gradual increase in temperatures of the glass cover, air in the collector channel, absorber, and mass airflow rate with solar radiation intensity, significantly influencing system performance. The high value of R2 and the consistency of the model's results with theoretical and experimental outcomes justified the validity and accuracy of the proposed model, exhibiting a deviation percentage of less than 10%. The developed model can be utilized to study influential parameters for optimizing the proposed strategy's performance and components, yielding comparable results to experimental data. Additionally, it provides researchers and car makers with a broader perspective and a range of options for further improvement in weight, size, cost, and aerodynamic of the vehicle.