Remote Database Server Research Articles

Analysis of the system of automatic change modes of the hardware-software complex of training of invalids of sight of Braille

The object of research is the hardware-software complex of learning Braille. The research is aimed at the analysis of the use of the system of automatic change of modes of the hardware-software complex depending on the results of the user’s tasks. As part of the development of the project for the implementation of hardware and software for the training of the visually impaired in Braille, there is a need to analyze the operation of the updated control system for the order of output of letters. The solution was a software bridge that connects devices to a remote database server via smartphones, where learning results are stored. To solve this problem, the algorithm for changing the modes of letter output was modified, the module of connection of the hardware and software complex with the phone was implemented, the file structure for information transfer to the database was developed. After the introduction of updates in the hardware and software complexes of users, an analysis of the training was conducted. Statistics were collected according to the following parameters: selected language, type of game, correct and user answers, mode of output of letters, date-time of answer and operation of changing of the mode of output of letters. The analysis used data on the first and last states of the mode of output of letters for one day without reference to games and languages. The research was conducted over 30 calendar days for 100 users, but the data were reduced to 15 days, as some users were not study every day, and the day of study was taken. The research showed a tendency to change learning to groups of letters of the highest complexity. Less than a third of users stayed at the first level, which provides for the next update of the software to collect data on the age of the user, because children under 5 years do not learn the letters of the third group of complexity.

IoT Based Architecture for Model Predictive Control of HVAC Systems in Smart Buildings.

The efficient management of Heating Ventilation and Air Conditioning (HVAC) systems in smart buildings is one of the main applications of the Internet of Things (IoT) paradigm. In this paper we propose an IoT based architecture for the implementation of Model Predictive Control (MPC) of HVAC systems in real environments. The considered MPC algorithm optimizes on line, in a closed-loop control fashion, both the indoor thermal comfort and the related energy consumption for a single zone environment. Thanks to the proposed IoT based architecture, the sensing, control, and actuating subsystems are all connected to the Internet, and a remote interface with the HVAC control system is guaranteed to end-users. In particular, sensors and actuators communicate with a remote database server and a control unit, which provides the control actions to be actuated in the HVAC system; users can set remotely the control mode and related set-points of the system; while comfort and environmental indices are transferred via the Internet and displayed on the end-users’ interface. The proposed IoT based control architecture is implemented and tested in a campus building at the Polytechnic of Bari (Italy) in a proof of concept perspective. The effectiveness of the proposed control algorithm is assessed in the real environment evaluating both the thermal comfort results and the energy savings with respect to a classical thermostat regulation approach.

An Analysis of a Web Service based Approach for Experimental Data Sharing

This paper presents the results obtained from a comparative analysis of two methods for experimental data sharing. Several works related to the topic and some approaches for processing data have been discussed. Different technolgoies related to the web services, ways of using them and the areas of their application are analyzed. For the purposes of the study, a web service for retrieving specific data from a behavioral experiments database was developed.The methodology and conditions for conducting the experiments are described. Two different indicators are analyzed, respectively: time to retrieve the data from a database and iteration time across all records through one loop. The results show that when retrieving thousands of records both web service based approach and an approach based on a remote database server can be used. However, when retrieving millions of records, the fastest approach was the one that uses remote database server. The obtainedresultsshow that the dynamic arrays (containing strings) iterated much faster across all data records than the dataset approach.

Performance Evaluation of Structured and Semi-Structured Bioinformatics Tools : A Comparative Study

There is a wide range of available biological databases developed by bioinformatics experts, employing different methods to extract biological data. In this paper, we investigate and evaluate the performance of some of these methods in terms of their ability to efficiently access bioinformatics databases using web-based interfaces. These methods retrieve bioinformatics information using structured and semi-structured data tools, which are able to retrieve data from remote database servers. This study distinguishes each of these approaches and contrasts these tools. We used Sequence Retrieval System (SRS) and Entrez search tools for structured data, while Perl and BioPerl search programs were used for semi-structured data to retrieve complex queries including a combination of text and numeric information. The study concludes that the use of semi-structured data tools for accessing bioinformatics databases is a viable alternative to the structured tools, though each method is shown to have certain inherent advantages and disadvantages.

PERFORMANCE EVALUATION OF STRUCTURED AND SEMI-STRUCTURED BIOINFORMATICS TOOLS: A COMPARATIVE STUDY

There is a wide range of available biological databases developed by bioinformatics experts, employing different methods to extract biological data. In this paper, we investigate and evaluate the performance of some of these methods in terms of their ability to efficiently access bioinformatics databases using web-based interfaces. These methods retrieve bioinformatics information using structured and semi-structured data tools, which are able to retrieve data from remote database servers. This study distinguishes each of these approaches and contrasts these tools. We used Sequence Retrieval System (SRS) and Entrez search tools for structured data, while Perl and BioPerl search programs were used for semi-structured data to retrieve complex queries including a combination of text and numeric information. The study concludes that the use of semi-structured data tools for accessing bioinformatics databases is a viable alternative to the structured tools, though each method is shown to have certain inherent advantages and disadvantages.

A Novel Design of E-Textile Integration for Physiological Monitoring and Lighting

This research was to focus on integrating printed textile circuit board, FPCB (flexible printed circuit board), and IC Chips into a fabric for physiological monitoring. This cloth can be used to detect physiological signals such as heart rate, ECG, movement, temperature, and respiration. The main disadvantage of traditional smart textiles remains in the bulk volume of the attached rigid hardware equipment, which makes the user uncomfortable. To overcome this problem, the main idea is to minimize the hardware size, make it compatible with the textile structure and integrate the electronics into textiles directly. The prototype was tested in indoor/outdoor environment. All the physiological data were transmitted into a remote database server and an online monitoring system was used to supervise the physical state of wearer. The main advantage of this design is the new type of conductive junction which is smaller and softer. The size of conductive junction can be tremendously reduced down to 0.5mm*0.5mm compared with the current buckle junction. This novel design of the printed electronics embedded textile technology leads the e-textile physiological monitoring system to a higher tendency of the washable, flexible, stretchable and thin characteristic of the pure textile.

Design and Experiment of Multi-information Collection System for Grain Combine Harvesters

To obtain the online multi-information of the machine performance, working condition and other parameters for gain combine harvester, a controller area network (CAN bus) based distributed data collection, transmission and processing system was constructed and tested. In this system a series of sensors was designed or optimized, such as attitude sensors for sensing the rise and fall of header, torque sensors and revolution speed sensors for measuring the power output, torque and rotational speed, GPS module for detecting operating speed and location. And with ARM embedded processor, a universal information acquisition node was designed based on CAN bus to collect and process the datas from system-wide sensors. Furthermore, with CAN network, 3G networks and RS232-based telematics data exchange gateway, the telematics data exchange gateway was built for asynchronous communication with CAN bus node, telematics monitor, and remote database server. In addition, a order-driven synchronous data acquisition strategy was prosposed for the purpose of improving the synchronicity of combine harvester multi-information for a period of time. This system was proved to be stable, reliable, strong anti-interference and realized the object of synchronous acquisition of machine performance, working condition, power consumption and other information, and transmission frequency can reach 5KHz under 10 nodes and frame loss rate (FLR) was lower than 1%. The use of this system will be an effective support for multi-information collection of gain combine harvester.

A Novel Design for Home Automation by Integrating Solar based System with Internet of Things.

In this research we have made a novel design for home automation by integrating solar based system with Internet of Things. The main motive of research is to simulate domestic device with integration of Solar based energy system. Here we have simulated the power consumption of home appliances. Energy source is solar system in this research. Solar operated system works with battery. The power is consumed as the devices are switch on. IOT based online simulator that will keep track of status of all device in remote database server.

A POS system based on the remote client‐server model in the small business environment

PurposeIn traditional point‐of‐sale (POS) systems, an in‐house database server processes all sales transactions it receives from local client computers. Such systems incur high costs because of operational requirements, such as professional maintenance, the sophisticated server hardware required, and scalability requirements. For small retailers that want to use POS systems but have relatively limited financial resources, these expensive operational requirements are big obstacles. Considering these issues, the purpose of this paper is to suggest a POS system that is adequate for small businesses.Design/methodology/approachUsing a simulation method, the authors tested and compared the operational performance of POS systems in two different environments, i.e. the remote server‐client environment and the local server‐client environment.FindingsOne possible solution is for a group of small retailers to use a shared, remote database server, but such servers often have reliability and performance issues. To resolve these issues, the authors suggest a POS system that utilizes local data tables embedded in each client's computer. This system consists of a remote database server and a group of client POS computers with off‐line data‐handling capabilities. The results indicated that it is possible for small businesses to obtain significant benefits from an affordable POS system based on a remote client‐server model that utilizes a local data cache.Practical implicationsThe results of this study indicated that small businesses may obtain significant benefit from the affordable POS systems based on a remote client‐server model that utilizes a local data cache.Originality/valueThe literature lacks studies on small businesses' accessibility to POS systems. The study fills this literature gap and shows a technological solution to provide affordable POS systems to small businesses, which have not been paid much attention by POS vendors.

An Intelligent Telecardiology System Using a Wearable and Wireless ECG to Detect Atrial Fibrillation

This study presents a novel wireless, ambulatory, real-time, and autoalarm intelligent telecardiology system to improve healthcare for cardiovascular disease, which is one of the most prevalent and costly health problems in the world. This system consists of a lightweight and power-saving wireless ECG device equipped with a built-in automatic warning expert system. This device is connected to a mobile and ubiquitous real-time display platform. The acquired ECG signals are instantaneously transmitted to mobile devices, such as netbooks or mobile phones through Bluetooth, and then, processed by the expert system. An alert signal is sent to the remote database server, which can be accessed by an Internet browser, once an abnormal ECG is detected. The current version of the expert system can identify five types of abnormal cardiac rhythms in real-time, including sinus tachycardia, sinus bradycardia, wide QRS complex, atrial fibrillation (AF), and cardiac asystole, which is very important for both the subjects who are being monitored and the healthcare personnel tracking cardiac-rhythm disorders. The proposed system also activates an emergency medical alarm system when problems occur. Clinical testing reveals that the proposed system is approximately 94% accurate, with high sensitivity, specificity, and positive prediction rates for ten normal subjects and 20 AF patients. We believe that in the future a business-card-like ECG device, accompanied with a mobile phone, can make universal cardiac protection service possible.

Long-Term Monitoring of Heart Rate, Respiration Rhythm, and Body Movement During Sleep Based upon a Network

A method for accurately recording heart rate (HR), respiration rhythm (RR), and body movement (BM) during sleep using a network-based system is proposed in this article. Its application to the long-term monitoring of HR, RR, and BM during sleep was examined. HR, RR, and BM were detected by pressure variations corresponding to changes in the heartbeat and respiratory motion, which were measured by a sensor unit placed beneath a pillow during sleep under completely unconstrained conditions. The pressure signals were digitized and transmitted to a remote database server using transmission control protocol (TCP)/Internet protocol (IP) via a netbox. In the server, the data were processed to obtain HR, RR, and BM. The overall performance of the system was examined using data collected over a 13-month period from a female subject. Besides the long-term profiles of HR, RR, and the periods during which the HR and RR were undetectable owing to BMs during sleep, the average frequency of BM in a day varied from 4.4 to 22.4/h, and the mean frequency over 332 nights was 8.3/h with a standard deviation of 2.2/h. Periodic biorhythms can also be assessed using the profiles of the average HR and certain frequency-domain parameters of HR variability. The rhythmic property of these profiles was confirmed to coincide with the subject's menstrual cycle. The results of this 13-month trial operation show that this system can be installed in the home environment; used to monitor HR, RR, and BM during sleep; and analyze various physiological rhythms in humans over prolonged periods.

Novel Approach to Fuzzy-Wavelet ECG Signal Analysis for a Mobile Device

This paper describes a signal processing technique for ECG signal analysis based upon the combination of wavelet analysis and fuzzy c-means clustering. The signal analysis technique is implemented into a biomedical signal diagnostic unit that is the carry on device for the Wireless Nano-Bios Diagnostic System (WNBDS) developed at National Taiwan University. The WNBDS integrates mobile devices and remote data base servers to conduct online monitoring and remote healthcare applications. The signal analysis and diagnostic algorithms in this paper are implemented in an embedded mobile device to conduct mobile biomedical signal diagnostics. At this stage, the Electrocardiogram (ECG or EKG) is analyzed for patient health monitoring. The ECG signal processing is based on the wavelet analysis, and the diagnosis is based on fuzzy clustering. The embedded system is realized with the Windows CE operating system.

Unconstrained monitoring of long-term heart and breath rates during sleep

An unconstrained method for the long-term monitoring of heart and breath rates during sleep is proposed. The system includes a sensor unit and a web-based network module. The sensor unit is set beneath a pillow to pick up the pressure variations from the head induced by inhalation/exhalation movements and heart pulsation during sleep. The measured pressure signal was digitized and transferred to a remote database server via the network module. A wavelet-based algorithm was employed to detect the heart and breath rates, as well as body movement, during sleep. The overall system was utilized for a total six-month trial operation delivered to a female subject. The profiles of the heart and breath rates on a beat-by-beat and daily basis were obtained. Movements during sleep were also estimated. The results show that the daily average percentage of undetectable periods (UPs) during 881.6 sleep hours over a 180 day period was 17.2%. A total of 89.2% of sleep hours had a UP of not more than 25%. The profile of the heart rate revealed a periodic property that corresponded to the female monthly menstrual cycle. Our system shows promise as a long-term unconstrained monitor for heart and breath rates, and for other physiological parameters related to the quality of sleep and the regularity of the menstrual cycle.

Laser Marking System of 3D Nondestructive Anti-Counterfeiting Identifiers Based on Liquid Crystal Mask

The theoretical researches on fabrication, measurement and identification of laser marking system of 3D(three-dimension) anti-counterfeiting identifiers have been done in this paper. 3D identifiers were fabricated and 3D identifiers’ modelings were reconstructed, and binary coding of gray images were encoded by programmable control of liquid crystal mask, spatial modulating of laser beam and photolithography fabrication technics. We regarded the depth of 3D identifiers as anti-counterfeiting information, and the original marking data and anti-counterfeiting information are saved in remote database server by database technology and computer network technology，so true produces can be distinguished from fake through network. The basic theory of 3D nondestructive anti-counterfeiting identifiers based on liquid crystal mask was built, and a new technology of creating 3D anti-counterfeiting identifiers by laser shock wave was set up, which differs entirely from marking by laser ablation (or laser thermal effect). A new high-efficiency theory of detecting and identifying on 3D anti-counterfeiting identifiers by 3D identifiers’ reconstruction and binary coding was set up. The study enriches dynamic plastic deformation theory of partial high-strain-rate and anti-counterfeiting design & manufacturing theory which is also a highlight based on advanced manufacturing theory of mechanical effect on laser shock wave.

Efficient Tree Search in Encrypted Data

In this paper the authors have developed a tree search algorithm based on the linear search algorithm that is suitable for XMP databases. Nowadays the need grows to store data securely on an untrusted system. Think, for instance, of a remote database server administered by somebody else. If you want your data to be secret, you have to encrypt it. The problem then arises how to query the database. The most obvious solution is to download the whole database locally and then perform the query. This, of course, is terribly inefficient. Song, Wagner, and Perrig (SWP)1 have introduced a protocol to search for a word in an encrypted text. We summarize this protocol in the following.