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Research paper

DEVELOPMENT OF AN FPGA BASED SMART DIAGNOSTIC SYSTEM FOR SPIROMETRIC DATA PROCESSING APPLICATIONS

The paper describes the development of an FPGA based fuzzy processing system for pulmonary spirometry applications predicting the approaching obstructive or restrictive pulmonary disorder of the patient before criticality actually occurs. The system employs a smart agent that accepts the Peak Expiratory Flow Rate (PEFR), Forced Expiratory Volume in 1 second (FEV1) and Forced Vital Capacity (FVC) data of patients. In order to speed up the computation process, hybrid parallel data processing

Shubhajit Roy Chowdhury, Dipankar Chakrabarti, Hiranmay Saha

International Journal on Smart Sensing and Intelligent Systems , ISSUE 4, 985–1018

Research Article

Patient-centric health-care data processing using streams and asynchronous technology

Kenneth Mbuthia, Jin Dai, Stavros Zavrakas, Jize Yan

International Journal on Smart Sensing and Intelligent Systems , ISSUE 1, 1–18

Research Article

INVESTIGATION OF ADVANCED DATA PROCESSING TECHNIQUE IN MAGNETIC ANOMALY DETECTION SYSTEMS

Advanced methods of data processing in magnetic anomaly detection (MAD) systems are investigated. Raw signals of MAD based on component magnetic sensors are transformed into energy signals in the space of specially constructed orthonormalized functions. This procedure provides a considerable improvement of the SNR thus enabling reliable target detection. Estimation of the target parameters is implemented with the help of Genetic Algorithm. Numerous computer simulations show good algorithm

B. Ginzburg, L. Frumkis, B.Z. Kaplan, A. Sheinker, N. Salomonski

International Journal on Smart Sensing and Intelligent Systems , ISSUE 1, 110–122

research-article

GEOSPATIAL DATA PROCESSING CHARACTERISTICS FOR ENVIRONMENTAL MONITORING TASKS

information useful for thematic processing duringinterference removal operations from vectorization (for example, many small contours or double lines). That is, support is required for topographic information (or other geo-information corresponding to a specific task). insufficient use of fuzzy interval estimates in modelling, which are obtained on the basis of the statistical data analysis for evaluating and interpreting the image decryption results; The integration of remote sensing data processing

Olga BUTENKO, Stanislav HORELIK, Oleh ZYNYUK

Architecture, Civil Engineering, Environment , ISSUE 1, 103–114

Article

INVESTIGATION ON PHOTOELECTRIC THEODOLITE DATA PROCESSING AND RANDOM ERRORS MODEL

Xiang Hua, Jinjin Zhang, Bin Lei

International Journal on Smart Sensing and Intelligent Systems , ISSUE 2, 1180–1202

research-article

A novel approach to label road defects in video data: semi-automated video analysis

other countries around the world. Literature review There exists an extensive amount of studies, which present methods and systems to detect road hazards automatically. One of the most cited and famous systems is ‘Pothole Patrol’, published by MIT researchers in 2008 (Eriksson et al., 2008). The authors utilized an inertial sensor placed in the vehicle to detect potholes with a filter-based data processing pipeline. They managed to cover 2,492 distinct kilometers during their 10 days driving period

Jakob Thumm, Johannes Masino, Martin Knoche, Frank Gauterin, Markus Reischl

International Journal on Smart Sensing and Intelligent Systems , ISSUE 1, 1–9

Research Article

Organoleptic Properties Remote Sensing and LifeTime Prediction along the Perishables Goods Supply-Chain

Nowadays, two of the most compelling challenges in the field of food safety and certification are the reduction of the multitude of food losses and wastes in the supply chain and the improvement of certification and monitoring procedures during each stage of production. The aim of this paper is to propose an effective solution to both problems: a wireless sensor network (WSN) combined with a further data processing for real-time monitoring and shelf life prediction.

V.F. Annese, G.E. Biccario, S. Cipriani, D. De Venuto

International Journal on Smart Sensing and Intelligent Systems , ISSUE 5, 1–6

Article

Improved Statistical Analysis Method Based on Big Data Technology

Big data technology refers to the rapid acquisition of valuable information from various types of large amounts of data. It can be divided into 8 technologies: data acquisition, data access, infrastructure, data processing, statistical analysis, data mining, model prediction and results presentation. The paper presents improved statistical analysis method based on big data technology. A statistical analysis model in big data environment is designed to extract useful information features from

Hongsheng Xu, Ganglong Fan, Ke Li

International Journal of Advanced Network, Monitoring and Controls , ISSUE 4, 26–30

Research Article

DATA MINING WITH BIG DATA REVOLUTION HYBRID

Big Data concern large-volume, complex, growing data sets with multiple, autonomous sources. With the fast development of networking, data storage, and the data collection capacity, Big Data are now rapidly expanding in all science and engineering domains, including physical, biological and biomedical sciences. This paper presents a HACE theorem that characterizes the features of the Big Data revolution, and proposes a Big Data processing model, from the data mining perspective. This data

R. Elankavi, R. Kalaiprasath, R. Udayakumar

International Journal on Smart Sensing and Intelligent Systems , ISSUE 5, 560–573

Article

DESIGN OF A NON-CONTACT INFRARED THERMOMETER

In order to realize the human body temperature fast and non-contact measurement, an infrared thermometer is designed. The infrared human body temperature sensor is mainly used to convert the human body's infrared into voltage signal, an operational amplifier to amplify the signal, filter circuit to filter the signal, the analog signal into digital signal by the A/D conversion circuit, data processing by the MCU, LCD display and voice reporting body temperature and time, so the human body non

Guangli Long

International Journal on Smart Sensing and Intelligent Systems , ISSUE 2, 1110–1129

Article

Research on the Tunnel Geological Radar Image Flaw Detection Based on CNN

He Li, Yubian Wang

International Journal of Advanced Network, Monitoring and Controls , ISSUE 1, 44–53

Article

A Study of Edge Computing Offloading Based on Security

Luo Pei, Lei Juchao

International Journal of Advanced Network, Monitoring and Controls , ISSUE 2, 58–63

Article

THE IMPLEMENTATION OF HIGH EFFICIENCY WIRELESS SENSOR IN ACOUSTIC OBJECT TRACKING

Energy control in Wireless Sensor Network is one of the most crucial technologies. Based on the acoustic object localization background, we designed a new structure of the sensor node to realize the energy efficiency in the power supply and artificial sleeping scheduling in this paper. The power control model is independent with data processing and control model and can separately realize the power supply for different part of the node. The node can transfer status according the different

ChengFang Zhen, Wenyi LIU, Hanming WEI

International Journal on Smart Sensing and Intelligent Systems , ISSUE 4, 1997–2017

Research Article

A WAVELET-BASED BRIDGE WEIGH-IN-MOTION SYSTEM

Bridge Weigh-in-Motion systems can be used to estimate vehicle parameters such as velocity, axle loads, or the distance between axles without affecting the traffic. These parameters and the classification of vehicles are necessary to determine vehicle overload and hence may help to reduce risks for road users and road infrastructure and allow optimized planning of maintenance work. The Bridge Weigh-in-Motion system developed is based on a crack displacement sensor with intelligent data

B. Lechner, M. Lieschnegg, O. Mariani, M. Pircher, A. Fuchs

International Journal on Smart Sensing and Intelligent Systems , ISSUE 4, 573–591

Article

THREE-STEP REGISTRATION AND MULTI-THREAD PROCESSING BASED IMAGE MOSAIC FOR UNMANNED AERIAL VEHICLE APPLICATIONS

determine the common points between two adjacent images; then, the linear slope constraint model is used to filter the mismatching point-pairs; finally, the RANSAC algorithm is adopted to remove outer points from the common points to ensure matching precision of inter frames. To accommodate the real time requirement of UAV application, a parallel data processing pattern is presented. The multi-core resources and multi-thread computing method of computers are employed adequately in the new pattern to

Hongguang Li, Wenrui Ding, Yufeng wang

International Journal on Smart Sensing and Intelligent Systems , ISSUE 2, 1090–1109

Research Article

MEMS-based miniature near-infrared spectrometer for application in environmental and food monitoring

resolutions below 20 nm. In conclusion, we propose the miniaturised SGS as a mobile spectrometer for insitu analysis integrated with a data processing system.

S.I. Hintschich, T. Pügner, J. Knobbe, J. Schröder, P.Reinig Reinig, H. Grüger, H. Schenk

International Journal on Smart Sensing and Intelligent Systems , ISSUE 5, 1–5

Article

A GAIN SCHEDULING OF PI CONTROLLERS OF A MULTI-SPAN WEB TRANSPORT SYSTEM

calibration. The algorithm is simple and efficient providing fast real-time implementation, since it does not require any data processing. The proposed technique features robustness and simplicity. The implications of this method reside in its applicability in an industrial platform.

Nicola Ivan Giannoccaro, Tetsuzo Sakamoto, Issei Uchitomi

International Journal on Smart Sensing and Intelligent Systems , ISSUE 3, 1516–1533

Research Article

Mechanical structures for smart-phone enabled sensing

The paper presents a new strategy for sensor design that is made possible by the usage of ubiquitous mobile devices for signal capture, digitization, and data processing. The approach taken is to design simple mechanical sensor elements such that they produce a sensor output that is easily acquired by a mobile smart device such as a phone or tablet computer. To illustrate this concept, two mechanical displacement transducers have been designed and tested. These sensors make use of displacement

S. Lawes, P. Kinnell

International Journal on Smart Sensing and Intelligent Systems , ISSUE 5, 1–5

Article

SECURE DATA STORAGE MECHANISM FOR INTEGRATION OF WIRELESS SENSOR NETWORKS AND MOBILE CLOUD

research has proposed to integrate wireless sensor networks (WSNs) with mobile cloud computing, so that powerful cloud computing can be exploited to process the sensory data accumulated by WSNs and provide these date to the mobile users on demand. The current WSN-MCC integration schemes have several drawbacks. This paper proposes a data processing framework, which aims at transmitting desired data to the mobile users in a rapid, reliable and even more secure manner. The proposed framework decreases the

Chengwei Hu

International Journal on Smart Sensing and Intelligent Systems , ISSUE 3, 1563–1591

Article

Analysis and Forecast of Urban Air Quality Based on BP Neural Network

model mainly needs to consider the lack of data Processing, data outlier processing, and data normalization processing. In this paper, the mean value filling method is used to deal with missing values. The mean value filling method is to replace the missing values with the average value of historical data. This method is simple to implement and suitable for models with high accuracy requirements. Data anomaly refers to an unreasonable value in a data set. For example, taking air pollutant

Wenjing Wang, Shengquan Yang

International Journal of Advanced Network, Monitoring and Controls , ISSUE 3, 57–64

Research Article

PERFORMANCE AND ANALYSIS OF LOW POWER, AREAEFFICIENT AND HIGH SPEED CARRYFAST ADDER

Carry Select Adder (CSLA) is one of the fastest adders used in many data-processing processors to perform fast arithmetic functions. From the structure of the CSLA, it is clear that there is scope for reducing the area and power consumption in the CSLA. This work uses a simple and efficient gate-level modification to significantly reduce the area and power of the CSLA. Based on this modification 8, 16,32,and 64-bit square-root CSLA (SQRT CSLA) architecture have been developed and compared with

M. AntoBennet, S. Sankaranarayanan, V. BanuPriya, PJaya Pretheena, S. Yamini, S. Supriya

International Journal on Smart Sensing and Intelligent Systems , ISSUE 5, –

Research Article

FRAMEWORK IMPLEMENTATION, FIRMWARE DEVELOPMENT AND CHARACTERIZATION OF FLEX-SPI COMMUNICATION PROTOCOL: ENERGY CONSUMPTION ANALYSIS AND COMPARISON WITH I2C STANDARD

consumption has been evaluated and then compared with the I2C one, by proper experimental setups and related data processing: the two protocols, in fact, share several features, although they rely on a different hardware configuration. The energy/bit metric was chosen so that the two output stages can be compared regardless the effective quantity of exchanged packets; thus, this measure provides an indication of necessary energy amount to move a single bit to guarantee the correct firmware functionality

P. Visconti, G. Giannotta, R. Brama, P. Primiceri, R. de Fazio, A. Malvasi

International Journal on Smart Sensing and Intelligent Systems , ISSUE 4, 754–792

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