Automated Data Collection System Research Articles

ANALISIS DAN PERANCANGAN ECOMMERCE PADA BATIK TULIS TENGAH SAWAH NGADIROJO

Abstract Electronic Commerce is defined as the process of buying and selling of products, services and information that will be conducted electronically by using computer network. E-Commerce can involve electronic funds transfer, electronic data interchange, automated inventory management systems, and automated data collection systems. Batik tulis Tengah Sawah Ngadirojo to date in the marketing and sales process is still conventional. The purpose of this study was to analyze the sales system is running and doing the design of e-commerce in the Batik Tulis Tengah Sawah located in Ngadirjo. The method used is to provide an overview of e-commerce to the Batik Tulis Tengah Sawah Ngadirojo. Based on these issues, then made the design of e-commerce in the Batik Tulis Tengah Sawah Ngadirojo and is expected to help consumers to find out the availability of existing products without having to visit a workshop. With the design of ecommerce is that consumers can make purchases online and payment products made through bank transfer. Addition was made to expand the marketing and sales of products, e-commerce is expected to improve the quality of service to consumers.

ON CONSTRUCTION OF AN INTELLIGENT SUBSYSTEM FOR ANALYZING THE PARAMETERS OF A MARSHALLING HUB

For the English abstract and full text of the article please see the attached PDF-File (English version follows Russian version).The work was supported by the Russian Fundamental Research Foundation, project 17-20-01133 ofi_m_ Russian Railways. ABSTRACT The article considers the issues of continuous monitoring of the situation at the marshalling yard and detection of the possibility of occurrence of dangerous situations. An approach is proposed for constructing an automated intellectual subsystem for analyzing and timely forecasting the critical utilization of railway sorting units. The solution of the problem is proposed with the help of network communication technologies due to the use of information from automated data collection systems and the neural network decision support subsystem. Keywords: transport, intellectual system, system analysis, forecasting of critical situations, simulation modeling, sorting node, neural network, information, communication technologies.

High Power LED Parametric Modelling Using a Double Polynomial Approximation

This article describes calculations for an accurate mathematical model of high power LED modules using double optimal polynomial approximation. The model is based on unique tests of various LED types in a thermal chamber, providing a comprehensive list of parametric temperature profiles. This model was then implemented into MATLAB®&Simulink® and Micro-Cap programs as a Spice compatible electronic circuit model, utilising the newly created algorithm. To define an optimal degree of approximation polynomials, Euclidean norm of residues was used. The new algorithm described in this article was verified using real-life data tested at the author’s work site, where the corresponding research takes place. To maximise the test’s efficiency, an automated data collection system was created. This article describes one particular tested LED module whose characteristic was modelled in both the absolute and the normalised form for easy comparison.

Perencanaan Search Engine E-commerce dengan Metode Latent Semantic Indexing Berbasis Multiplatform

E-commerce is a sale and purchase transactions that occur through electronic systems such as the Internet, WWW, or other computer networks. E-commerce involves electronic data interchange and automated data collection systems. In all e-commerce search engine provided a column for the search items desired by the user. In e-commerce such as Tokopedia, Lazada, MatahariMall, Amazon, and other search engines that provided just use a regular search engine technology. In the usual search engines getting longer sentences from the input or output of goods search results will be more extensive and more. However, by utilizing the semantic indexing technology, the longer and clear input desired goods, the number of searches will be few and accurately in accordance with the input that helps the user in decision making. In this study discussed how to build a search engine on the web e-commerce by using Latent Semantic Indexing. The first starts from the use of Text Mining methods for word processing, and the method Levenshtein Distance to repair automatic word and the last Latent Semantic Indexing for information processing and input expenditure.

Adaptation to a blood pressure telemetry system revealed by measures of activity, agility and operant learning in mice

IntroductionImplantable telemetry enables continuous monitoring of physiological functions in freely moving animals and can greatly complement pharmacological research. Despite its miniaturization, a sensor/transmitter constitutes 5% or more of a mouse's bodyweight. The aim of the present study was to evaluate whether factors related to the presence of a probe/transmitter influence the ambulatory activity, strength, agility, or operant, motivated behaviors of this small rodent. MethodsAdult male mice (C57BL/6N, 22–25g, 9–10weeks; implanted n=26, intact n=45) were evaluated during week-long tests, conducted three and eight weeks after surgical implantation of the PA-C10 blood pressure probe. An open field test, grip force measurement, Rotarod test were performed, followed by 7-day continuous monitoring of spontaneous wheel running activity and positively reinforced operant conditioning in an automated data collection system. ResultsAn implanted blood pressure transmitter did not affect behavior of mice in the open field test, on the Rotarod or their grip force, compared to unoperated controls. Voluntary wheel running distance was reduced three, but not eight weeks after implantation. Three weeks after the surgery, performance in the positively reinforced operant conditioning in operated mice was slightly decreased compared to intact animals, while retention and acquisition of a 2nd, reversal-learning task eight weeks after the surgery were unaffected. DiscussionWe conclude that an implantable transmitter may have detectable effects in the first few weeks following implantation on some elements of mouse behavior. With sufficient recovery, mice perform comparably to unoperated controls in tests of strength, endurance, agility and learned operant behavior.

Traffic Data Analysis Using Automatic Traffic Counter-Cum-Classifier

Objective: With the advancement of new technologies, traffic data can be collected for the development of existing and new infrastructure. In this study, traffic data has been collected using traffic counter-cum-classifier. Method: The automatic data collection system based on pressure sensor has been studied. The instrument collects the data by sensing the hits made by the tyres of the moving vehicles. The paper discusses about the hardware and software set up of the instrument. Findings: The instrument is able to collect and analyze the macroscopic as well as microscopic characteristics of traffic. It senses the hits produced on the Pneumatic Tube by the running vehicles and data is recorded. This recorded data is then converted into the useful information by the software and according to the calibration of the software. The data can be collected and stored on a number of sites and analyzed by the software. Instrument is able to provide the various results related to characteristics of the traffic like total vehicle counts, classification, 85% speed, peak hour, time headway etc. The reports related to analysis of data can be generated in the form of graphs and pie chart etc. Improvements: Further field testing of the instrument in Indian condition can be done and accuracy of the instrument can be compared with manual methods and other automatic methods.

A Spatial Analytic Hierarchy Process for Identification of Water Pollution with GIS Software in an Eco-Economy Environment

Water pollution has become a global problem and its impact on the health of the human population is growing day by day. This study aims to assess the pollution of the Cibin River (Romania) by a physicochemical analysis. Water samples have been collected from four locations along the Cibin River over a period of 12 months. At this time, there are several commonly used Multiple-Criteria Decision Analysis (MCDA) methods for the assessing the impact of pollutants on the environment. In this research, we used the Analytic Hierarchy Process (AHP) multi-criteria method to evaluate each sampling station’s physicochemical parameters. The significant results place the river in the first (sampling stations 1, 2 and 3) and second (sampling stations 4) water quality classes. Another significant result of this work is that the research using GIS software allowed an integrated automatic data collection system and displays interactive results.

Effectiveness of Pharmacological Therapies for Intracranial Hypertension in Children With Severe Traumatic Brain Injury--Results From an Automated Data Collection System Time-Synched to Drug Administration.

To describe acute cerebral hemodynamic effects of medications commonly used to treat intracranial hypertension in children with traumatic brain injury. Currently, data supporting the efficacy of these medications are insufficient. In this prospective observational study, intracranial hypertension (intracranial pressure ≥ 20 mm Hg for > 5 min) was treated by clinical protocol. Administration times of medications for intracranial hypertension (fentanyl, 3% hypertonic saline, mannitol, and pentobarbital) were prospectively recorded and synchronized with an automated database that collected intracranial pressure and cerebral perfusion pressure every 5 seconds. Intracranial pressure crises confounded by external stimulation or mechanical ventilator adjustments were excluded. Mean intracranial pressure and cerebral perfusion pressure from epochs following drug administration were compared with baseline values using Kruskal-Wallis analysis of variance and Dunn test. Frailty modeling was used to analyze the time to intracranial pressure crisis resolution. Mixed-effect models compared intracranial pressure and cerebral perfusion pressure 5 minutes after the medication versus baseline and rates of treatment failure. A tertiary care children's hospital. Children with severe traumatic brain injury (Glasgow Coma Scale score ≤ 8). None. We analyzed 196 doses of fentanyl, hypertonic saline, mannitol, and pentobarbital administered to 16 children (median: 12 doses per patient). Overall, intracranial pressure significantly decreased following the administration of fentanyl, hypertonic saline, and pentobarbital. After controlling for administration of multiple medications, intracranial pressure was decreased following hypertonic saline and pentobarbital administration; cerebral perfusion pressure was decreased following fentanyl and was increased following hypertonic saline administration. After adjusting for significant covariates (including age, Glasgow Coma Scale score, and intracranial pressure), hypertonic saline was associated with a two-fold faster resolution of intracranial hypertension than either fentanyl or pentobarbital. Fentanyl was significantly associated with the most frequent treatment failure. Intracranial pressure decreased after multiple drug administrations, but hypertonic saline may warrant consideration as the first-line drug for treating intracranial hypertension, as it was associated with the most favorable cerebral hemodynamics and fastest resolution of intracranial hypertension.

TRANSAKSI ELEKTRONIK (E-COMMERCE) DALAM PERSPEKTIF FIKIH

This article aims to trace the legal validity of electronic transactions or commonly known as e-commerce, that is conducted using electronic methods such as electronic data interchange and automated data-collection system. E-commerce is preferred because many people presume as having many benefits i.e. demonstrating the value employers professionalism, making efficiency and effectiveness of business services, minimizing capital investment, etcetera. The urgency of this study due to the principles of contract law that are procedurally ignored in the online transaction. E-commerce is assessed valid if the pillars and prevailing conditions in the sale are fulfilled. The study on the validity of e-commerce in this article is not just approached by usul fiqh, but also from the perspective of mu'amalah jurisprudence and fiqhiyyah principles.

Experience Gained Investigating, Acquiring and Operating the First Traffic Speed Deflectometer in Australia

To manage a pavement one must know something about its condition. The more you know, the better informed your decisions are. In Australia, road agencies have been utilising automated data collection systems to assess the functional condition of their pavements for the best part of the last two decades. However, during this time, the assessment of structural condition has been limited to manual, slow moving or point-based testing. This has made collection of this data across entire networks unrealistic, even though this information is desirable. Therefore, it is no surprise that Australian road agencies have shown significant interest in the Traffic Speed Deflectometer (TSD), a device they hope can provide the network-level structural information they desire.This paper provides the background leading to the initial Australian TSD trials and how ARRB Group was able to procure a TSD for Australia and New Zealand. It also details the integration of additional data collection modules and how they allow the functional and structural condition of the pavement to be measured at the same time. Finally, the paper documents some of the lessons learnt throughout the TSD's acceptance testing and first 18 months of use on the Australian and New Zealand road networks. During this time, over 60,000 km were surveyed with the TSD.

Mоделирование автоматизированной системы сбора данных интеллектуального мониторинга контроля точности изготовления распределительных валов на основе расчета надежности

Mоделирование автоматизированной системы сбора данных интеллектуального мониторинга контроля точности изготовления распределительных валов на основе расчета надежности

Implementing electronic identification for performance recording in sheep: II. Cost-benefit analysis in meat and dairy farms

Costs and secondary benefits of implementing electronic identification (e-ID) for performance recording (i.e., lambing, body weight, inventory, and milk yield) in dairy and meat ewes were assessed by using the results from a previous study in which manual (M), semiautomatic (SA), and automatic (AU) data collection systems were compared. Ewes were identified with visual ear tags and electronic rumen boluses. The M system used visual identification, on-paper data recording, and manual data uploading to a computer. The SA system used e-ID with a handheld reader in which performances were typed and automatic uploaded to a computer. The use of a personal digital assistant (PDA) for recording and automatic data uploading, which transformed M in a SA system, was also considered. The AU system was only used for BW recording and consisted of e-ID, automatic data recording in an electronic scale, and uploading to a computer. The cost-benefit study was applied to 2 reference sheep farms of 700 meat ewes, under extensive or intensive production systems, and of 400 dairy ewes, practicing once- or twice-a-day machine milkings. Sensitivity analyses under voluntary and mandatory e-ID scenarios were also included. Benefits of using e-ID for SA or AU performance recording mainly depended on sheep farm purpose, number of test days per year, handheld reader and PDA prices, and flock size. Implementing e-ID for SA and AU performance recording saved approximately 50% of the time required by the M system, and increased the reliability of the data collected. Use of e-ID increased the cost of performance recording in a voluntary e-ID scenario, paying only partially the investment made (15 to 70%). For the mandatory e-ID scenario, in which the cost of e-ID devices was not included, savings paid 100% of the extra costs needed for using e-ID in all farm types and conditions. In both scenarios, the reader price was the most important extra cost (40 to 90%) for implementing e-ID in sheep farms. Calculated extra costs of using the PDA covered more than 100% of the implementation costs in all type of sheep farms, indicating that this device was cost-effective for sheep-performance recording.

Implementing electronic identification for performance recording in sheep: I. Manual versus semiautomatic and automatic recording systems in dairy and meat farms

With the aim of assessing the secondary benefits of using electronic identification (e-ID) in sheep farms, we compared the use of manual (M), semiautomatic (SA), and automatic (AU) data-collection systems for performance recording (i.e., milk, lambing, and weight) in 3 experiments. Ewes were identified with visual ear tags and electronic rumen boluses. The M system consisted of visual ear tags, on-paper data recording, and manual data uploading to a computer; the use of a personal digital assistant (PDA) for data recording and data uploading was also done in M. The SA system used a handheld reader (HHR) for e-ID, data recording, and uploading. Both PDA and HHR used Bluetooth for uploading. The AU system was only used for body weight recording and consisted of e-ID, data recording in an electronic scale, and data uploading. In experiment 1, M and SA milk-recording systems were compared in a flock of 48 dairy ewes. Ewes were milked once- (×1, n=24) or twice- (×2, n=24) daily in a 2 × 12 milking parlor and processed in groups of 24. Milk yield (1.21±0.04L/d, on average) was 36% lower in ×1 than ×2 ewes and milk recording time correlated positively with milk yield (R2=0.71). Data transfer was markedly faster for PDA and HHR than for M. As a result, overall milk recording time was faster in SA (×1=12.1±0.6min/24 ewes; ×2=22.1±0.9min/24 ewes) than M (×1=14.9±0.6min/24 ewes; ×2=27.9±1.0min/24 ewes). No differences between PDA and HHR were detected. Time savings, with regard to M, were greater for ×2 than for ×1 (5.6±0.2 vs. 2.8±0.1min per 24 ewes, respectively), but similar for PDA and HHR. Data transfer errors averaged 3.6% in M, whereas no errors were found in either SA system. In experiment 2, 73 dairy and 80 meat ewes were monitored at lambing using M and SA. Overall time for lambing recording was greater in M than SA in dairy (1.67±0.06 vs. 0.87±0.04min/ewe) and meat (1.30±0.03 vs. 0.73±0.03min/ewe) ewes. Recording errors were greater in dairy (9.6%) than in meat (1.9%) ewes. Data uploading errors only occurred in M (4.9%). In experiment 3, 120 dairy and 120 meat ewes were weighed using M and AU systems. In both flocks, mean BW recording and data uploading times, as well as overall BW recording time (0.63±0.02 and 0.25±0.01min/ewe, respectively) were greater in M than in AU, and uploading errors only occurred in M (8.8%). In conclusion, HHR and PDA systems were time-effective for performance recording, both saving time and improving data accuracy. Working load and time for ewe identification were faster in HHR but it did not affect the performance recording time. The PDA was the fastest device for data download. Further research will evaluate the costs of implementing e-ID for performance recording and other uses in sheep farms.

Individual-level personality influences social foraging and collective behaviour in wild birds.

There is increasing evidence that animal groups can maintain coordinated behaviour and make collective decisions based on simple interaction rules. Effective collective action may be further facilitated by individual variation within groups, particularly through leader–follower polymorphisms. Recent studies have suggested that individual-level personality traits influence the degree to which individuals use social information, are attracted to conspecifics, or act as leaders/followers. However, evidence is equivocal and largely limited to laboratory studies. We use an automated data-collection system to conduct an experiment testing the relationship between personality and collective decision-making in the wild. First, we report that foraging flocks of great tits (Parus major) show strikingly synchronous behaviour. A predictive model of collective decision-making replicates patterns well, suggesting simple interaction rules are sufficient to explain the observed social behaviour. Second, within groups, individuals with more reactive personalities behave more collectively, moving to within-flock areas of higher density. By contrast, proactive individuals tend to move to and feed at spatial periphery of flocks. Finally, comparing alternative simulations of flocking with empirical data, we demonstrate that variation in personality promotes within-patch movement while maintaining group cohesion. Our results illustrate the importance of incorporating individual variability in models of social behaviour.

Current status of protein micro-crystallography at SPring-8

Protein micro-crystallography is one of the most advanced technologies for protein structure analysis. In order to realize this, an undulator beamline, named BL32XU, was constructed at SPring-8. The beamline can provide beam with size of 0.9 x 0.9 µm and photon flux of 6E10 photons/s. The beam size can be easily changed by users from 1 to 10 µm square with the same flux density. Through three years user operation, we have established several key systems for efficient protein micro-crystallography. One of them is the software for precise positioning of micro-crystals in `raster scan'. SHIKA is a program with GUI which searches diffraction spots in a plenty of low dose diffraction images obtained in raster scan. Finally, it generates 2D map of crystal positions based on the number of spots or spot intensities. Parameters and thresholds in peak search have been empirically optimized for LCP crystals and it provides robust results. Another system is for the data collection strategy. Almost all successful data collections were conducted via `helical data collection' on BL32XU using the line-focused beam. The GUI software, named KUMA, enables estimation of an accumulated dose and suggests suitable experimental conditions for helical data collection. The system is proven to be useful for experimental phasing using tiny LCP crystals of membrane proteins[1-3]. Based on them, the rapid and automatic data collection system using protein micro-crystals is under development. The new CCD detector, Rayonix MX225HS, was installed for faster data acquisition in 10 Hz with the pixel size of 78 µm square. The new SHIKA using GPUs is under development for faster and more accurate crystal alignment. Following this step, KUMA system can suggest experimental conditions for each crystal found on the loop. We also report about the effects of higher dose rate in protein crystallography up to the order of 100 MGy/s. This work was supported by Platform for Drug Discovery, Informatics, and Structural Life Science from the Ministry of Education, Culture, Sports, Science and Technology, Japan.

The effect of ultrasonic on the heat transfer of CaCO3 scaled water

Purpose – CaCO3 solution was chosen as the research environment in boiling pool heat transfer system using an automatic data collection system and scaling experiments. In this experiment, different concentrations of solution were made and ultrasonic excitation was applied under differing conditions of salt concentration and heat flux, such that the ultrasonics could reduce scale accumulation on the metal surface. The effectiveness of ultrasonics in inhabiting CaCO3 scale formation was evaluated. The paper aims to discuss these issues. Design/methodology/approach – Different concentration solution was made. Under the condition of different concentration and heat flux, the ultrasonic was introduced, so that it can reduce the scale accumulation on the metal surface. Ultrasonic function in inhabiting CaCO3 scale can be evaluated. Findings – The results showed that the ultrasonic not only enhanced the heat transfer rate under boiling conditions but also prevented the accumulation of the scale on the metal surface. Originality/value – The ultrasonic can enhance the heat transfer on the heater surface both in distilled water and scaled solution. In the earlier period, the heat transfer coefficient increases with the heat flux increases.

Time-Series Data Mining in Transportation: A Case Study on Singapore Public Train Commuter Travel Patterns

The adoption of smart cards technologies and automated data collection systems (ADCS) in transportation domain had provided public transport planners opportunities to amass a huge and continuously increasing amount of time-series data about the behaviors and travel patterns of commuters. However the explosive growth of temporal related databases has far outpaced the transport planners’ ability to interpret these data using conventional statistical techniques, creating an urgent need for new techniques to support the analyst in transforming the data into actionable information and knowledge. This research study thus explores and discusses the potential use of time-series data mining, a relatively new framework by integrating conventional time-series analysis and data mining techniques, to discover actionable insights and knowledge from the transportation temporal data. A case study on the Singapore public train transit will also be used to demonstrate the time-series data-mining framework and methodology.

Designing and Implementing a Regional Active Transportation Monitoring Program through a County-MPO-University Collaboration

This article describes a unique effort underway in San Diego County to establish a regional nonmotorized data collection system in support of long-range planning for bicycle and pedestrian systems, and physical activity promotion and monitoring. Case study of a novel approach to sitting a regional active travel data collection program. San Diego County, California. None. Installation of 54 automated bicycle and pedestrian counting units at 35 sites across San Diego County. Equipment sitting criteria including population density, employment density, median household income, planned bicycle network, and planned land uses. Mapping, stakeholder input, site visits. A comprehensive network of 76 sites identified and proposed for long-range implementation. This research establishes a sitting methodology that holds promise for replication in other regions. San Diego's counting program is one of the most comprehensive automated data collection systems of any region in the United States.

Bus Passenger Origin-Destination Matrix Estimation Using Available Information from Automatic Data Collection Systems in Chongqing, China

This research explores the application of available information from Automated Data Collection Systems (ADC) with a focus on bus passenger Origin-Destination (OD) matrices inference, using Chongqing as a case study. It demonstrates the feasibility and ease of applying to infer bus passengers boarding and alighting locations if boarding information is available from neither Automatic Fare Collection System (AFC) nor GPS data, and is the first known attempt to create an algorism to use stop Geographic Information System (GIS) and dual-direction bus stop group to estimate the boarding location and traveling direction when GPS data cannot provide the arriving information at bus stops. The results of this research have been practically applied to a full-size bus network in Chongqing, and can be easily implemented to other Chinese cities as Chongqing presents most popular data structure of ADC in China.

Measuring vaccine confidence: analysis of data obtained by a media surveillance system used to analyse public concerns about vaccines

The intensity, spread, and effects of public opinion about vaccines are growing as new modes of communication speed up information sharing, contributing to vaccine hesitancy, refusals, and disease outbreaks. We aimed to develop a new application of existing surveillance systems to detect and characterise early signs of vaccine issues. We also aimed to develop a typology of concerns and a way to assess the priority of each concern. Following preliminary research by The Vaccine Confidence Project, media reports (eg, online articles, blogs, government reports) were obtained using the HealthMap automated data collection system, adapted to monitor online reports about vaccines, vaccination programmes, and vaccine-preventable diseases. Any reports that did not meet the inclusion criteria--any reference to a human vaccine or vaccination campaign or programme that was accessible online--were removed from analysis. Reports were manually analysed for content and categorised by concerns, vaccine, disease, location, and source of report, and overall positive or negative sentiment towards vaccines. They were then given a priority level depending on the seriousness of the reported event and time of event occurrence. We used descriptive statistics to analyse the data collected during a period of 1 year, after refinements to the search terms and processes had been made. We analysed data from 10,380 reports (from 144 countries) obtained between May 1, 2011, and April 30, 2012. 7171 (69%) contained positive or neutral content and 3209 (31%) contained negative content. Of the negative reports, 1977 (24%) were associated with impacts on vaccine programmes and disease outbreaks; 1726 (21%) with beliefs, awareness, and perceptions; 1371 (16%) with vaccine safety; and 1336 (16%) with vaccine delivery programmes. We were able to disaggregate the data by country and vaccine type, and monitor evolution of events over time and location in specific regions where vaccine concerns were high. Real-time monitoring and analysis of vaccine concerns over time and location could help immunisation programmes to tailor more effective and timely strategies to address specific public concerns. Bill & Melinda Gates Foundation.