Results Of System Evaluation Research Articles

Design and implementation of intelligent electronic component inspection based on PLC and vision system

Customer demands for product quality are increasingly complex, requiring better inspection accuracy. It is not enough if done manually because it requires high costs and varying operator accuracy. Automatic vision inspect­ion was developed to check the product quality of terminal-type electronic components To solve this problem. Design intelligent inspection uses a conveyor driven by a stepper motor, a photosensor to calculate product distance, guides position to direct the product, a vision camera to detect product quality, cylinder ejection for product selection, and PLC as a control system. The process of detecting normal and abnormal product quality is carried out using computer logic control, then separating the ab­normal product into the reject box through the ejection cylinder. The machine speed is 60 pieces/minute. The system evaluation results are carried out on three parts of the system: the success rate on the vision camera is 100%, automatic product sorting through the cylinder ejection rate success is 100%, and the success rate for product positioning is 97.5%. This research provides a useful reference for developing intelligent automatic inspection technology in electronic components.

Transitional ankle fracture management using a new joystick technique

PurposeTo investigate the feasibility and short-term clinical efficacy of the arthrography-assisted joystick technique for the treatment of adolescent transitional ankle fracture. MethodsA retrospective analysis was performed in 10 adolescent transitional ankle fracture patients treated with the arthrography-assisted joystick technology. There were 7 male patients and 3 female patients with a mean age of 12.80 ± 1.81 years (range: 10–16 years). All cases were closed fractures, and the operation was performed after the failure of manual reduction [X-ray or computed tomography (CT) showed that the fracture gap was > 2 mm]. After the operation, X-ray or CT examination was performed to assess reduction of the fracture. Ankle function and fracture healing were evaluated by assessing the imaging indexes and evaluating the American Orthopedic Foot and Ankle Society (AOFAS) ankle score system. ResultsAll patients were followed up for an average period of 12.00 ± 3.40 months (range: 8–20 months). The operation time was 40.50 ± 16.90 min (range: 25–80 min), the number of intraoperative fluoroscopy sessions was 18.70 ± 5.91 (range: 10–30 sessions), and the intraoperative blood loss was 5.90 ± 3.38 ml (range: 2–10 ml). X-ray examination showed that all cases achieved bone healing. The fracture healing time was 11.00 ± 2.45 weeks (range: 8–16 weeks). Four cases showed early closure of the epiphysis. The AOFAS scoring system evaluation results of these 10 pediatric cases were excellent. ConclusionThe arthrography-assisted joystick technique for the treatment of adolescent transitional ankle fracture offers advantages, such as minimal trauma, simple operation, ideal reduction effect, and the recent curative effect is satisfactory.

An Evaluation of a Language Processor for an African Native Language-based Programming Language

Abstract The design and prototype implementation of a subset of an African indigenous language-based programming language has been carried out and reported. In this study, an evaluation of the processor developed for the native language-based programming language was carried out in order to assess its level of conformance to the characteristics required of a good software product as set by the international organization for standardization (ISO). The developed language processor was evaluated using some metrics for evaluating the quality of software systems including structural and time complexity. A usability test was also conducted to assess users’ perception of the system concerning its relevance and ease of use. The result of system evaluation indicated that the system contains 1558 lines of code, its cyclomatic complexity is 14 and its asymptotic time complexity is of order big oh O (n3), where n is the size of the input to the system. Over 86% of the participants in the usability test attested to the system’s relevance while the usability rating was 86%. The developed system can be inferred to be of good quality as the results of its evaluation are positively on the high side for satisfying most of the ISO criteria for adjudging a software product as being of good quality. Furthermore, the high usability rating for the system indicates that the programming language whose compiler was evaluated satisfies most of the criteria set by the Department of Defense (DOD) for assessing the ‘goodness’ or otherwise of a programming language.

Evaluasi Sistem Informasi Kesehatan dengan Pendekatan Health Metrics Network di Dinas Kesehatan Kota Pagar Alam

Data and information are strategic resources in health development and management. A health information system is considered effective if it can give information support in a decision making process through all levels. Health information system evaluation aims to ensure the efficiency of a health information system and its ability to provide quality information. The study aimed to determine description of health information system evaluation results in Pagar Alam Public Health Office. The study was carried on by using Health Metric Network (HMN) as tools. The study is a descriptive evaluative design with mixed method approach. The study subjects were 9 Health Information System workers in Pagar Alam Public Health Office. Study data was collected by doing interview and observation. Data analysis was done by using Health Metric Network (HMN) version 4.00. The result of health information system evaluation using six components within HMN instrument was within the range of 41-60% which means that the system exists but inadequate. The conclusion of this study is that health information system in Pagar Alam Public Health Office has been carried on well enough, but requires improvements in its data management

Modeling for evaluation of safety instrumented systems with heterogeneous components

A novel methodology for evaluation of safety instrumented systems (SISs) with heterogeneous components based on multi-stage dynamic Bayesian networks (MDBNs) is proposed. The unified evaluation model for M-out-of-N architectures based on MDBNs is constructed. An automatic modeling method of conditional probability tables for time-slice and inter-slice transitions is established. Average probability of failure on demand (PFDavg) and probability of failing safety (PFS) of the structure can be calculated by the established model. A method for calculating the life-cycle cost of SISs is presented by using the results of system evaluation and specific cost details. A high-integrity pressure protection system (HIPPS) is adopted to demonstrate the application of the proposed approach. A MDBNs-based evaluation and cost analysis software of heterogeneous redundant structure is developed by using MATLAB graphical user interface. The analysis of system evaluation results and life-cycle cost can help the designer determine the configuration of the heterogeneous redundant structure.

Design of an Interactive Geo-Location Mobile Application for Civil Societies in East Africa

This paper reports the developed mobile application through the use of advanced technologies such as mobile computing, cloud computing and Global Positioning System (GPS) in order to solve the challenges. The purpose of this study is find out how the recent advances and mass adoption of ICT by the public can best be leveraged to enhance the performance of Civil Society Organizations (CSOs) in East Africa. The data collection techniques used are through questionnaires, observations and conducting interviews with different stakeholders in the civil society arena i.e., the donors, the CSOs and the people in society that are given a voice by civil societies. In the system development phase, agile development methodology was used. Analysis of the data collected showed that there is a gap in the availability of a single or a centralized platform which can be easily accessed, user-friendly and reliable where different actors can readily get reliable and up-to-date information about the available CSOs they are interested in. To address this problem, an interactive online directory of CSOs has been developed. The platform is mobile based and enables CSOs to register and fill up their current details, thus ensuring that there is always correct and updated information. The platform is equipped with, among other features, a geo-mapping facility which enables users of the system to correctly geo-locate their civil societies of interest on a map view. The results of system evaluation showed that 88.125% of users were satisfied with the system basing on the evaluation criteria.

IoEV-Chain: A 5G-Based Secure Inter-Connected Mobility Framework for the Internet of Electric Vehicles

Recent advances in 5G-based disruptive technologies have ushered in a new smart era of interconnected mobility. Hence, smart city planners around the globe are facing the challenges of leveraging these new modalities of future mobility solutions. Some key innovations toward disruptive mobility are the next generation of the Internet of electric vehicles and ultra-high-speed 5G communication paradigms. However, adding security to IoEV data remains of great concern. In this study, we offer a novel secure blockchain and off-chainbased 5G mobility framework that enables the security of IoEV data at rest, in transmission, and in the storage medium. We address the 5G security vulnerabilities in the areas of mutual authentication and authorization, remote software updates, confidentiality and integrity protection, secure provisioning of 5G services, secure storage of IoEV and personal data, and location tracking. We present our experience in building the architecture and the implementation of the framework, in addition to the system evaluation results.

Development and evaluation of NRMIS (Nursing Resources Management Information System) for managing healthcare resources.

Efficient resource management should consider the improvement of internal factors first as the unique task of medical institutions that can perform the medical services for efficient hospital management under the optimum management condition. This study aims to suggest the efficient model for nurse resource management that can estimate optimum nurse resources according to the nursing intensity of the hospitalized patients. The study was performed with four steps including collection and analysis of requirements, system design, system realization, and evaluation, which took 2 years and 10 months. The measurement tool used in the step of system evaluation was a modified version of Questionnaire for User Interaction Satisfaction (QUIS) 5.0. The system was implemented using Oracle database with Power Builder by Sybase. NRS, PCS, and ONMES were realized with developed NRMIS, and the survey was conducted on the usefulness as the system evaluation. The system evaluation results of User Interaction Satisfaction, means scores of ONMES, PCS, and NRS were 7.15 ± 0.52, 6.21 ± 1.11, and 6.03 ± 1.14 out of 9 points, respectively. Demonstrating the positive change in the subjective usefulness of the respondents after using the system compared to the period before using the system (F= 16.551, p= 0.000). It was confirmed that this system contributed to an enhancement of the working process speed, efficiency, and accuracy by simplifying the works which were the purposes of the nursing information system, which changes dynamically, to support decision making on the management of effective and flexible nurse resources.

Ontology-based clinical information extraction from physician's free-text notes.

Documenting clinical notes in electronic health records might affect physician's workflow. In this paper, an Ontology-based clinical information extraction system, OB-CIE, has been developed. OB-CIE system provides a method for extracting clinical concepts from physician's free-text notes and converts the unstructured clinical notes to structured information to be accessed in electronic health records. OB-CIE system can help physicians to document visit notes without changing their workflow. For recognizing named entities of clinical concepts, ontology concepts have been used to construct a dictionary of semantic categories, then, exact dictionary matching method has been used to match noun phrases to their semantic categories. A rule-based approach has been used to classify clinical sentences to their predefined categories. The system evaluation results have achieved an F-measure of 94.90% and 97.80% for concepts classification and sentences classification, respectively. The results have showed that OB-CIE system performed well on extracting clinical concepts compared with data mining techniques. The system can be used in another field by adapting its ontology and extraction rule set.

Decision Support System for Classification of Early Childhood Diseases Using Principal Component Analysis and K-Nearest Neighbors Classifier

Background: Data on early childhood disease collected in clinics has accumulated into big data. Those data can be used for classification of early childhood diseases to help medical staff in diagnosing diseases that attack early childhoods.Objective: This study aims to apply Principal Component Analysis (PCA) and K-Nearest Neighbor (K-NN) Classifier for the classification of early childhood diseases.Methods: Data analysis was performed using PCA to obtain variables that had a major influence on the classification of early childhood diseases. PCA was done by observing the correlation between variables and eliminating variables that have little influence on classification. Furthermore, data on early childhood disease was classified using the K-Nearest Neighbor Classifier method.Results: The results of system evaluation using 150 test data indicated that the classification system by applying PCA and KNN Classifier had an accuracy value of 86%.Conclusion: PCA can be used to reduce the number of variables involved so that it can improve system performance in terms of efficiency. In addition, the application of PCA and KNN can also improve accuracy in the classification of early childhood diseases.

Evidence of Astragalus injection combined platinum-based chemotherapy in advanced nonsmall cell lung cancer patients: A systematic review and meta-analysis.

Background:Platinum-based chemotherapy is one of the standard treatments for advanced nonsmall cell lung cancer (NSCLC). Despite on an effective treatment for advanced NSCLC patients, its high toxicity and limited clinical effects have raised big concerns. Astragalus injection (AGI) has been commonly employed as an adjutant chemotherapy drug for NSCLC in China. This review was conducted to evaluate the beneficial of AGI in combination with platinum-based chemotherapy in advanced NSCLC.Methods:We collected all studies about AGI plus platinum-based chemotherapy for advanced NSCLC in the PubMed, EMBASE, China National Knowledge Infrastructure Database, the Cochrane Library, Wanfang Database, China Biological Medicine Database, and Chinese Scientific Journal Database established on July 2018 without language restriction. Cochrane handbook was applied to assess the quality of included trials. Stata (version 12.0) and RevMan (version 5.3) were employed for data analysis. The quality of the evidence was assessed with the GRADE approach.Results:Nineteen randomized controlled trials (RCTs) including 1635 patients were included to determine the effectiveness and safety of AGI combined with platinum-based chemotherapy in the treatment of NSCLC. The result of meta-analysis indicated that comparing with chemotherapy alone, AGI combined chemotherapy could significantly improve the objective response rate (relative risk [RR] = 1.19, 95% confidence interval [CI] [1.06, 1.33], P = .002), the Karnofsky performance status (RR = 2.28, 95% CI [1.63, 3.18], P < .00001), and 1-year survival rate (RR = 1.40, 95% CI [1.16, 1.70], P = .0005), meanwhile increase the percentages of CD3+ (weighted mean differences [WMD] = 11.98, 95% CI [8.0, 15.96], P < .00001), CD4+ (WMD = 2.98, 95% CI [0.45, 5.52], P = .02), CD4+/CD8+ (WMD = 0.33, 95% CI [0.20, 0.46], P < .00001), and NK cells (WMD = 9.5, 95% CI [7.25, 11.76], P < .00001), decrease the incidence of leukopenia (RR = 0.52, 95% CI [0.44, 0.61], P < .00001), platelet toxicity (RR = 0.62, 95% CI [0.50, 0.76], P < .00001), and vomiting (RR = 0.72, 95% CI [0.60, 0.87], P = .0006). Based on the system evaluation results, the GRADE system recommendation grading method was adopted to evaluate the evidence quality. The results showed that the level of evidence was low.Conclusions:The AGI apparently has attenuation and synergistic efficacy to platinum-based chemotherapy patients. However, considering the limits of articles included in the present researches, the recommendation is likely to be weak. High-quality RCTs are urgently used to generate conclusive results.

Periodicity analysis using weighted sequential pattern in recommending service

Nowadays, due to escalating the demands of the direct purchase of e-commerce with many kinds of item, the demand for e-commerce is exploding. The recommender system finds items for customer easily and targets in customers for the e-commerce firms easily by an automated recommending process. And also, association rules are often used to facilitate product sales in marketing pattern analysis through recommender systems in e-commerce. This paper takes aim at a new recommending service in e-commerce using periodicity analysis of weighted sequential pattern. In e-commerce, we need the FRAT segmentation method based on the various items purchased by the customer, to reflect the weights and perform the pre-processing tasks using sequential patterns for period analysis. We apply an effective incremental sequential data mining method that adds incremental purchasing data as a change of the four season changes. As a result, we suggest a recommendation service for micro-marketing of e-commerce based on big data analysis for promoting e-commerce purchasing, which satisfies customer’s taste with various products of e-commerce. To check the performance of the proposal, we tested the data set with the same conditions as before. As a result, the proposed system is more efficient than the other systems in the results of system evaluation.

E-Learning Model for Problem Based Learning on Heat and Thermodynamic Topics in High School

The development of information and communication technology (ICT) in the 21st century makes it easier for students to be more active in the learning process. Physics learning materials are needed to support the problem-based learning process in high school. This study aims to produce e-learning models for problem-based learning on Heat and Thermodynamics topics. The result shows media can be used in learning in high school class XI. We uses the research and development method, with the Dick and Carey model. The study was conducted in a digital media laboratory, Physics Education Department of Universitas Negeri Jakarta from January to June 2018. E-Learning models have been produced for problem-based learning in the topic of Heat and Thermodynamics. This WordPress-based E-Learning model can display physics material enriched with images, graphics, animations, simulations, and videos. Students are facilitated to understand the concepts learned. The e-learning model is equipped with assessment tools that can be used online. Students are facilitated to learn independently without limited space and time. The E-learning model developed was also equipped with discussion groups in the form of chats for all registered users. The media validation obtained the results of system evaluation, content, and e-learning infrastructure with 78.9 points average. The material validation gives an 81.55 rating. Concerning media and material, e-learning media is declared feasible as a medium for self-learning. The e-learning model for problem-based learning is feasible to use to train the ability to critical thinking, creative thinking, collaborative, and communicate for students in high school.

Integrated model of assisted parking system and performance evaluation with entropy weight extended analytic hierarchy process and two-tuple linguistic information

Evaluating comprehensive performance of assisted parking system has been a very important issue for car companies for years, because the overall performance of assisted parking system directly influences car intellectualization and customers’ degree of satisfaction. Therefore, this article proposes two-tuple linguistic analytic hierarchy process to evaluate assisted parking system so as to avoid information loss during the processes of evaluation integration. The performance evaluation attributes for assisted parking system are established initially. Subsequently, the information entropy theory is proposed to improve the evaluation attribute weight determined by analytic hierarchy process for the influencing factors of the randomness in parking test process. Furthermore, the evaluation attribute measure values of comprehensive performance are calculated and the assisted parking system evaluation results are obtained with ordered weighted averaging operator. Finally, numerical examples of vehicle types equipped with eight different assisted parking systems and computational results are presented.

Pengembangan Model Evaluasi Kualitas Layanan Sistem E-Government

. In many countries, e-government system has been built to support the government in providing services to the community and industry. Although the system had been developed and has been successfully executed, the level of user acceptance and the quality level of service is often not satisfactory. The aim of this study is to develop a model for of e-government system evaluation. E-government evaluation model was developed by combining aspects of government services (public services) as well as aspects of service quality of electronic-based systems. The model was tested using empirical data. Questionnaires filled online using a web-based application, 108 samples were collected and 88 samples were declared valid to be used for measurement model analysis and e-government system evaluation. Analysis of reliability and validity of the measurement model was conducted using partial least square (PLS) technique. Analysis of the e-government system evaluation results was carried out by utilizing importance-performance analysis (IPA) method. The model developed is used to evaluate an e-government system developed by the Ministry of Trade of the Republic of Indonesia, called Inatrade. The results of Inatrade system evaluation using IPA method show that information completeness, fulfillment, responsiveness and contact are the dimensions that need to be given priority in the improvement process of Inatrade system.

Holistic Discourse Coherence Annotation for Noisy Essay Writing

This paper reviews annotation schemes used for labeling discourse coherence in well-formed and noisy (essay) data, and it describes a system that we have developed for automated holistic scoring of essay coherence. We review previous, related work on unsupervised computational approaches to evaluating discourse coherence and focus on a taxonomy of discourse coherence schemes classified by their different goals and types of data. We illustrate how a holistic approach can be successfully used to build systems for noisy essay data, across domains and populations. We discuss the model features related to human scoring guide criteria for essay scoring, and the importance of using model features relevant to these criteria for the purpose of generating meaningful scores and feedback for students and test-takers. To demonstrate the effectiveness of a holistic annotation scheme, we present results of system evaluations.

A Resource Management Methodology for Collaborative Computing System over Multiple Virtual Machines

A resource management methodology for collaborative computing systems over multiple virtual machines (CCSMVM) is presented to increase the performance of computing systems by improving the resource utilization, which has constructed a scalable computing environment for resource on-demand utilization. We have designed a resource management framework and a prototype to improve resource utilization rate, reduce computing systems overheads and maintain workloads balancing, whose key technologies include resource planning, resource allocation, resource adjustment and resource release. The experiments have verified the feasibility of our prototype and the results of system evaluations show that the time of resource allocation and resource release is proportional to the quantity of virtual machines, but not the time of the virtual machines migrations. Our study on resource management methodology has some significance to the optimization of the performance in virtual computing systems.

Capacitance Planar Array Sensor for Fast Multiphase Flow Imaging

In this paper, we introduce a novel planar array sensor based on electrical capacitance (permittivity) measurements to visualize flows of multiphase mixtures along the surface of objects. The prototype sensor is formed by 32 times 32 interdigital sensing structures. It can be mounted onto the wall of pipes or vessels and thus has minimal influence on the flow. An associated electronics measures the capacitance of the fluid at each sensing structure in a multiplexed manner at high sampling rate. This way, images of the fluid distribution are produced. The electronics is able to generate up to 15 000 images/s. Results of system evaluation and results of two exemplary flow experiments are presented and discussed.

Performance Evaluation of a Dedicated Camera Suitable for Dynamic Radiopharmaceuticals Evaluation in Small Animals

As the result of a collaboration between the Detector and Imaging Group of Thomas Jefferson National Accelerator Facility (US), the Institute of Radioisotopes and Radiodiagnostic Products (IRRP) of N.C.S.R. ldquoDemokritosrdquo and the Biomedical Simulations and Imaging Applications Laboratory (BIOSIM) of National Technical University of Athens (Greece), a mouse sized camera optimized for Tc99m imaging was developed. The detector was built in Jefferson Lab and transferred to Greece, where it was evaluated with phantoms and small animals. The system will be used initially for planar dynamic studies in small animals, in order to assess the performance of new radiolabeled biomolecules for oncological studies. The active area of the detector is approximately 48 mm times 96 mm. It is based on two flat-panel Hamamatsu H8500 position sensitive photomultiplier tubes (PSPMT), a pixelated NaI(Tl) scintillator and a high resolution lead parallel-hole collimator. The system was developed to optimize both sensitivity and resolution for in vivo imaging of small animals injected with technetium compounds. The results of system evaluation in planar mode with phantoms are reported. Results are presented for in vivo dynamic studies of mice injected with > 100 muCi of two conventional and novel radiopharmaceuticals, namely Tc99m-MDP and Tc99m -Bombesin.

A 2.7-V GSM RF transceiver IC

A 2.7-V RF transceiver IC is intended for small, low-cost global system for mobile communications (GSM) handsets. This chip includes a quadrature modulator (QMOD) and an offset phase locked loop (OPLL) in the transmit path and a dual IF receiver that consists of a low noise amplifier (LNA) with an active-bias circuit, two Gilbert-cell mixers, a programmable gain linear amplifier (PGA), and a quadrature demodulator (QDEM). The IC also contains frequency dividers with a very high frequency voltage controlled oscillator (VHF-VCO) to simplify the receiver design. The system evaluation results are the phase error of 2.7/spl deg/ r.m.s. and the noise transmitted in the GSM receiving band of -163 dBc/Hz for transmitters and the reference sensitivity of -105 dBm for receivers. Power-control functions are provided for independent transmit and receive operation. The IC is implemented by using bipolar technology with f/sub T/=15 GHz, r'/sub bb/=150 /spl Omega/, and 0.6-/spl mu/m features.