bluuebunny/crossref_metadata_2025_split huggingface dataset:
Development of CAN Bus Converter for On Board Diagnostic (OBD-II) System
Authors: Din M A C , Rahman M T A , Munir H A , Rahman A , Hamid A F A 
Published: December 2019

Abstract
CAN-bus technology is adapted in various vehicles to reduce the wiring harness and controls the vehicle exploitation physical system. In this paper, Control Area Network (CAN)- bus protocol is enforced employing a Single Board Computer (SBC) and access with each other by set a sender and receiver to get the data transmission. A special CAN-bus application layer protocol is intended for the high reliable and high period management network of the vehicle system. However not all microcontroller that used for Computer module in vehicle network had CAN-bus communication port. Thus the CAN-bus Converter is used as tool for converting data from a computer into an understandable language. The CAN-bus converter can also be used in various ways to obtain the final results of the data sent to it. Although different methods may be used, the most appropriate method cannot be identified. This project is therefore designed to find and evaluate which method is suitable for obtaining accurate data results and for avoiding abnormal data and data transfer speed.
Cross-correlation analysis of isometric contraction for mechanomyography signals on forearm muscle
Authors: Mohamad Ismail M R , Lam C K , Sundaraj K , Fazalul Rahiman M H 
Published: December 2019

Abstract
This study examines the cross-correlation coefficient of Mechanomyography (MMG) signals recorded from Palmaris Longus (PL), Flexor Digitorum Superficialis (FDS), Extensor Digitorum (ED) and Extensor Carpi Ulnaris (ECU) of forearm muscles during isometric muscle action. Nine healthy participants using dominant hand (mean±SD: age=24.78±1.79 year) volunteered in this study to perform submaximal to maximal (25%, 50%, 75% and 100%) isometric muscle actions with maximal voluntary contraction force of hand exercise gestures (grip strength supinated, grip strength pronated, finger flexion and pinch grip). During each isometric contraction, four-separated VMG sensor (TSD250A)-sensitive accelerometer type was used to record MMG signals on flexor and extensor side of forearm muscles. Maximum crosscorrelation coefficients at zero time lags were analyzed between flexor (PL & FDS) and extensor (ED & ECU) sides for each subject and force level to determine which sides show high level of association during isometric muscle action of forearm with different hand exercise gestures. The results showed maximum cross-correlation coefficients that range from Rxy
= 0.801 – 0.943 for all hand exercise gestures performed. In addition, from the results obtained between flexor and extensor side indicates that the maximum range of cross-correlation coefficient for extensor side muscle groups were slightly higher than the flexor side muscle groups.
Moving Cell Array Prediction for LORAWAN-Handover Based On Received Signal Strength Indicator (RSSI) Algorithm
Authors: Zabidi M M M , Rahman M T A , Rahman A , Munir H A , Adom A H , Hamid A F A 
Published: December 2019

Abstract
This paper discusses the prediction of movement from the vehicles with Long Range Wide Area Network (LoRaWAN) handover communication, based on Received Signal Strength Indicator (RSSI) algorithm. The experiment consists of observation on three different environment area which is rural, sub-urban and urban at road in Kedah and Perlis state in Malaysia. This three-environment area measured based on the past studies. Handover session with a moving vehicle, predicted the movement based on direction of Global Positioning System (GPS) latitude and longitude. The communication session transferring from previous cell area network that pass by the vehicle to a new targeting cell area network with the base station connection. From this experiment and study, it is shown that the predictable or movement from one cell to another cell based on RSSI algorithm with base station connectivity can be achieved.
SLAM-GDM Implementation on Robot Operating System for Gas Source Localization
Authors: Soo K W , Kamarudin K , Bennetts V H , Visvanathan R , Ali Yeon A S , Mamduh S M , Zakaria A 
Published: December 2019

Abstract
Gas Distribution Mapping (GDM) can be defined as visualization for the spatial distribution of gas concentration in an unknown indoor environment. Recently, incidents of gas leakage have increased gradually worldwide. This will significantly increase the casualty rate at the workplace. This paper focusses on the implementation of Kernel DM based SLAM- GDM on Robot Operating System (ROS), a novel approach that will be useful in the effort of localizing the gas source during gas leakage inspection. This approach has been conducted successfully by using ROS-architecture implemented system, tested in simulation and on a mobile robot. The result shows that this implementation achieved average accuracy of 0.71m and 0.32m and therefore deemed suitable for gas source location prediction.
Study on the Mobility Performance of Wheelchair sing Smartphone Accelerometer
Authors: H’ng L K , Rahim M A , Rahim A 
Published: December 2019

Abstract
Wheelchair is very important as a means of transport by a person who is unable to walk as a result of illness or injury. On the other hand, smartphones have become common device that allow users to remotely control many electrical and electronic appliances. This paper presents a study on the mobility performance of wheelchair using smartphone accelerometer. The powered wheelchair is presented by a two-wheeled robot car which emphasized on the control layout platform for the smartphone’s tilting directions with suitable tolerance values. A basic motion’s algorithms for the movement of robot car have been developed, and its mobility performances on the cornering and straight-line direction are analysed.
Development of MOX Gas Sensors Module for Indoor Air Contaminant Measurement
Authors: Abdullah A N , Kamarudin K , Mamduh S M , Adom A H 
Published: December 2019

Abstract
This paper presents the development of gas sensor module consisting of metal oxide (MOX) gas sensors for indoor air contaminant measurement. The first phase of the studies involves the design of PCBs board for six different metal oxide (MOX) gas sensors particularly CCS803, MiCS5524, GM-402B, GM-502B, GM-702B and MiCS6814. Next, the main board consisting of temperature, humidity and another two MOX gas sensors (i.e TGS2600 and TGS2602) was developed for the acquisition of the sensors. A partially closed chamber was designed and fabricated to fit the main board and allows inflow and outflow of gases. The responses of the gas sensors were measured in a closed room, with the air conditioner turned on and off periodically. The results show that all the MOX gas sensor used are affected by temperature and humidity of the environment. Therefore, the sensor response drift needs to be corrected in order to obtain reliable indoor air contaminant measurement.
Facial expression recognition in JAFFE and KDEF Datasets using histogram of oriented gradients and support vector machine
Authors: Eng S K , Ali H , Cheah A Y , Chong Y F 
Published: December 2019

Abstract
This paper presents the used of histogram of oriented gradient (HOG) for facial expression recognition using support vector machine (SVM). In this work, the facial expression images are firstly preprocessed by face detection and cropped images. Then, HOG method is adopted as feature extraction on facial image. The ability of HOG to preserve the local information and orientation density distribution in facial images suitable as shape descriptor for facial expression. It divides the image into cell or patch that has magnitude and orientations. The extracted HOG was then concatenated into histogram bin to form one feature vector before feed into SVM classifier. Both JAFFE and KDEF datasets were employed to evaluate the performance of proposed method. Based on results, the average recognition rates of JAFFE and KDEF datasets are 76.19% and 80.95% respectively. The results show that the performance of expression surprise has outperformed compared to others expression while expression fear contributes the lowest recognition rate. Thus, utilization of HOG features with SVM classifier have shown the promising results in recognizing facial expression.
Analysis of Mobile Robot Indoor Mapping using GMapping Based SLAM with Different Parameter
Authors: Norzam W.A.S , Hawari H.F. , Kamarudin K. 
Published: December 2019

Abstract
Mapping is one of the elemental application of the mobile robot. The map is created using the mobile robot by employing sensors such as camera, sonar and laser sensor. One of the most popular mapping methods is the Simultaneous Localization and Mapping (SLAM). SLAM allows the map to be created while localizing the robot location in the map at the same time. GMapping is one of the widely used algorithms in SLAM which will be used in this project. The mobile robot is equipped with a Hokuyo Laser Range Finder sensor and netbook. The router is used for wireless communication between the mobile robot and the user. The GMapping is done in two different locations of different lab size and amount of features in the area. Three trial is conducted to investigate the effects of different parameters such as robot speed, mapping delay and particle filter on the mapping quality. The results show a significant difference in terms of mapping accuracy and the time taken to complete the process as the parameter changed from the three trial. As a result, the parameter used in the second trial, robot speed 0.1333m/s, mapping delay 1s and particle filter 30 is considered as the best based on the time taken and the map accuracy.
RSSI-based Localization Zoning using K-Mean Clustering
Authors: Wye Kenny Fong Peng , Kanagaraj Ericson , Zakaria Syed Muhammad Mamduh Syed , Kamarudin Latifah Munirah , Zakaria Ammar , Kamarudin Kamarulzaman , Ahmad Norhawati 
Published: December 2019

Abstract
This document discusses the novel approach to localize human location based on the current zone via k-mean clustering. A pilot experimental analysis of k-mean clustering to group similar RSSI pattern is compared to user defined zones. The dataset collected has demonstrated the difficulties of deploying trilateration and fingerprinting methods in dynamic conditions, as it introduces fluctuating RSSI measurements. The k-mean clustering was proposed to validate antenna placement to divide the testbed into zones, and to create a baseline accuracy which can be compared with other algorithms in the future. It was found that, for Zones 2, 3 and 4, the k-mean clustering of antennas agree with the planned antenna placement grouping. However, for Zone 1, there are differences, which may be attributed to a large metal obstacle occupying the zone. The k-mean clustering also recorded a peak accuracy of 79% with k=4, which agrees with the number of planned zones.
Particle Swarm Algorithm Sliding Mode Control on Spacecraft’s Attitude with Switching Function Method Thorough Error Feedback
Authors: Hassrizal H. B. , Rossiter J. A. , Othman Siti Marhainis , Ayob M. N. 
Published: December 2019

Abstract
Small spacecraft requires capable processors with energy efficiency, low cost and low computational burden while maintaining the output tracking accuracy. This paper presents the extension of work in [1], to enhance the transient performance using particle swarm optimization (PSO) on decaying boundary layer and switching function thorough error feedback (DBLSF) in Sliding Mode Control (SMC). Generally, SMC is known for having chattering as the main drawback which can introduce wear and tear to moving mechanical parts. As a solution, a DBLSF proposed in [1] and capable of eliminating the chattering in SMC while considering the essential requirements for small spacecraft operation. Then, the extension implemented on spacecraft’s attitude, which is one-of-six subsystems in spacecraft, used to orient the spacecraft referred to reference objects and control the dynamics of a spacecraft time-to-time according to the needs. However, the SMC’s transient response can be tuned using some coefficients in the SMC algorithm. The parameters in [1] were tuned using outputs observation technique. In this paper, then, an improvement is introduced to optimize the outputs by adding a PSO in the SMC-DBLSF in term of transient performances and accuracy while reducing the chattering permanently.
Development of Web-based Mobile Olfaction System for Confined Space Hazardous as Monitoring
Authors: Abdullah A.H. , Bakar M.A.A. , Saad F.S.A. , Sudin S. , Latif N.H.A. , Ahmad Z.A. , Elshaikh M. , Ismail K.A. 
Published: December 2019

Abstract
Hazardous gas in the confined space is an issue that often causes danger to the worker while doing the tasks i.e. installation, cleaning and maintenance. The nature of the area may exposure the worker to hazardous gas leakage. It is important to monitor the hazardous gas in the surrounding area before the worker start their task inside the confined space. This paper proposes a study of developing a web-based mobile olfaction system for confined space hazardous gas monitoring. The system is integration between a mobile robot and an electronic nose (e-nose). The system will reduce the danger faced by the worker from the hazardous gas. The e-nose consists of a sensor array, embedded controller, electronic components and wireless GSM communication. The instrument sensors i.e. hydrogen sulphide, oxygen, carbon monoxide and methane are used to acquire the confined space air sample. It will also acquire the environment temperature and humidity. The robot which piggyback the instrument will manoeuvre through the environment while acquires data. The data acquired were transmitted and monitored wirelessly to the web-based information system. The website layout is designed using HTML and JavaScript. Data received from e-nose will be stored into a database, MySQL server before being process by the website. The data will go through the conversion process from digital value to PPM. Then the data will be classified using ANN to obtain the Hazardous Gas Concentration Index (HGCI). The website will display the HGCI mapping of the area in real-time. Results show that the system performance is good and can be used to monitor the hazardous gas in the confined space.
Modeling Effect of Road Topology on Signal Analysis in Connected Autonomous Vehicle Communication
Authors: Turner J S C , Shahriman A B , Harun A , Razlan Z M , Hashim M S M , Wan W K , Fadzilla M A , Murad S A Z , Hambali N A M A , Phoon C Y 
Published: December 2019

Abstract
Connected car has become one of emerging technology in the automotive industries and vehicular communication studies on the other hand, has become one heavily researched topic in academia which focuses on the performance of various parameters upon vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communication-based in the IEEE 802.11p vehicular communication studies. In urban environment, obstructions from existence of building, trees, street’s layout and other obstruction or objects can strongly influence the receive signal levels at 2.4 GHz frequency band. To ensure reliable and stable communication link for efficient future deployments of cooperative RSUs deployments, will require analyses on the signal strength upon environments that generally characterized by challenging propagation conditions. This article presents the results of experimental field testing of signal characteristics of different types of road topology such as grass, gravel and tar surface on open field environment. The results show that road topology or streets layout have an effect on V2I communication and the attenuation resulted from certain types of road’s surface can give significant impact on signal propagation.
A Review on the efficiency and accuracy of localization of moisture distributions sensing in agricultural silos
Authors: Almaleeh A A , Zakaria A , Zakaria S M M S , Kamarudin L M , Rahiman M H F , Sukor A S A , Rahim Y A , Adom A H 
Published: December 2019

Abstract
The moisture distribution in the silos depends upon various seeds parameters such as type and size of seeds, amount of storage, external weather, and storage period as well as structural and environmental factors. It is very difficult to predict moisture distribution in silos effectively while taking all the above aspects into consideration. This study aims to investigate the efficiency and accuracy of localization of moisture distributions sensing in agricultural silo. The work is mainly focussed on three major elements: Radio Frequency (RF), tomographic imaging and classification process using machine learning. In particular, RF-based signal and volume tomographic images are used to predict the moisture distribution. Furthermore, computational intelligence techniques such as artificial neural network (ANN) is applied to develop models based on previous data. The generalization of these models towards new set of data is discussed in making sure a successful application of a model. A detailed study of the relative performance of computational intelligence techniques has been carried out based on different statistical performance criteria.
Effect of La on microstructures and mechanical properties of Cu/Ti3SiC2/C nanocomposites sintered by vacuum hot-pressing and hot isostatic pressing
Authors: Lv Lan , Jiang Xiao-Song , Zhang Mei-Mei , Sun Hong-Liang , Shao Zhen-Yi , Fu Ning-Ning , Jin Wen-Tao 
Published: December 2019

Abstract
Researches have shown that the addition of trace amounts of rare earth element lanthanum (La) to the alloys and composites can significantly improve their microstructure and properties. In this work, Cu/Ti3SiC2/C composites with 0.05wt%, 0.1wt% and 0.3wt% La were prepared by powder metallurgy methodthrough mechanical alloying, hot-pressing (HP) and hot isostatic pressing (HIP). The effects of different La contents on the microstructure and mechanical properties of Cu/Ti3SiC2/C composites were investigated. The results show that La has a refinement effect on the grain of the matrix, and with the increase of La content, the size of the matrix of the composite becomes smaller. As the content of La increases, the performance of the composite exhibits a tendency to increase first and then decrease. The composite of 0.1wt% La exhibited the best performance with a hardness of 97.8 MPa, a tensile strength of 174.9 MPa, and a compressive strength and shear strength of 461.1 MPa and 102.1 MPa, respectively. Since the dimple is observed, the tensile fracture indicates that the fracture mode is a ductile fracture. The enhancement mechanism of La mainly includes dispersion strengthening and fine grain strengthening.
Effect of medication reconciliation interventions on outcomes: A systematic overview of systematic reviews
Authors: Anderson Laura J , Schnipper Jeff L , Nuckols Teryl K , Shane Rita , Le Michael M , Robbins Karen , Pevnick Joshua M ,   Members of the PHARM-DC group, Hughes Carmel , Jackevicius Cynthia A , O’Mahony Denis , Sarkisian Catherine 
Published: December 2019

Abstract

Purpose
To evaluate and summarize published evidence from systematic reviews examining medication reconciliation.

Methods
MEDLINE, the Cochrane Database of Systematic Reviews, and the Database of Abstracts of Reviews of Effects were searched for English-language systematic reviews published from January 2004 to March 2019. Reviewers independently extracted information and scored review quality using the Assessment of Multiple Systematic Reviews (AMSTAR) tool. For reviews with AMSTAR scores above 7, Grading of Recommendations Assessment, Development and Evaluation (GRADE) methodology was applied to assess evidence quality, with evidence summarized and conclusions compared across reviews.

Results
Eleven reviews met the inclusion criteria, 5 of which used meta-analytic pooling. Most systematic reviews included primary studies of comprehensive bundled interventions that featured medication reconciliation as a central component. Reviews largely focused on transitions into and out of hospital settings. Five reviews focused exclusively on pharmacist-led interventions. Of the 5 reviews that considered all types of medication discrepancies, 3 reviews found very low-quality evidence that interventions reduced medication discrepancies. Neither of the 2 reviews that examined clinically significant medication discrepancies found any intervention effect. Of the 5 reviews that examined healthcare utilization outcomes, only 1 found any intervention effect, and that finding was based on low- to very low-quality evidence. Four reviews considered clinical outcomes, but none found any intervention effect.

Conclusion
An overview of systematic reviews of medication reconciliation interventions found 9 high-quality systematic reviews. A minority of those reviews’ conclusions were consistent with medication reconciliation alone having a measurable impact, and such conclusions were almost all based on very low-quality evidence.
Disentangling the effects of photosynthetically active radiation and red to far-red ratio on plant photosynthesis under canopy shading: a simulation study using a functional–structural plant model
Authors: Zhang Ningyi , van Westreenen Arian , Anten Niels P R , Evers Jochem B , Marcelis Leo F M 
Published: December 2019

Abstract

Background and Aims
Shading by an overhead canopy (i.e. canopy shading) entails simultaneous changes in both photosynthetically active radiation (PAR) and red to far-red ratio (R:FR). As plant responses to PAR (e.g. changes in leaf photosynthesis) are different from responses to R:FR (e.g. changes in plant architecture), and these responses occur at both organ and plant levels, understanding plant photosynthesis responses to canopy shading needs separate analysis of responses to reductions in PAR and R:FR at different levels.

Methods
In a glasshouse experiment we subjected plants of woody perennial rose (Rosa hybrida) to different light treatments, and so separately quantified the effects of reductions in PAR and R:FR on leaf photosynthetic traits and plant architectural traits. Using a functional–structural plant model, we separately quantified the effects of responses in these traits on plant photosynthesis, and evaluated the relative importance of changes of individual traits for plant photosynthesis under mild and heavy shading caused by virtual overhead canopies.

Key Results
Model simulations showed that the individual trait responses to canopy shading could have positive and negative effects on plant photosynthesis. Under mild canopy shading, trait responses to reduced R:FR on photosynthesis were generally negative and with a larger magnitude than effects of responses to reduced PAR. Conversely, under heavy canopy shading, the positive effects of trait responses to reduced PAR became dominant. The combined effects of low-R:FR responses and low-PAR responses on plant photosynthesis were not equal to the sum of the separate effects, indicating interactions between individual trait responses.

Conclusions
Our simulation results indicate that under canopy shading, the relative importance of plant responses to PAR and R:FR for plant photosynthesis changes with shade levels. This suggests that the adaptive significance of plant plasticity responses to one shading factor depends on plant responses to the other.