Showing papers in "International Journal of Online Engineering (ijoe) in 2018"
TL;DR: A new algorithm to monitor fatigue of driver by tracking the movements of the eyes is proposed and can detect face and classify opening and closing eyes accurately at 99.93 percent in which it yielded higher accuracy than other algorithms.
Abstract: Researchers propose new algorithm to monitor fatigue of driver by tracking the movements of the eyes. This can classify the opening and closing eyes by using Haar-Like Features and Region of Interest techniques. The fatique can be classified by decision tree classification. The system works in real time and sends message to the mobile phone to alert the driver via Line Application. The results showed that the program can detect face and classify opening and closing eyes accurately at 99.93 percent in which it yielded higher accuracy than other algorithms.
27 citations
TL;DR: This system has passed the test, and results showed that it can effectively monitor growing environment of sugarcane, such as temperature, humidity, crop plant height, thus realize the whole process management of agricultural automation.
Abstract: Sugarcane is a kind of important sugar crops, which has been planted in large area of southern China, but traditional manual operation still applied on sugarcane planting and management at present, leading to higher labor costs. In recent years, the development of Internet of Things technologies such as wireless sensor technology, ZigBee, RFID, etc., as well as the application of technologies such as video image processing, automatic control, and 3S, etc. have provided technical supports for precision planting of agricultural production, visual management, and intelligent decision-making. This paper, relying on the Internet of things technology, has designed and implemented a set of sugarcane growth monitoring system according to the growth characteristics of sugarcane crops, this system has passed the test, and results showed that it can effectively monitor growing environment of sugarcane, such as temperature, humidity, crop plant height, thus realize the whole process management of agricultural automation.
25 citations
TL;DR: The theoretical development of artificial neural networks and mass appraisal of real estate, artificial neural network model evolution and algorithm improvement, artificial neural networks practice and application, and review the existing literature are focused on.
Abstract: With the rapid development of computer, artificial intelligence and big data technology, artificial neural networks have become one of the most powerful machine learning algorithms. In the practice, most of the applications of artificial neural networks use back propagation neural network and its variation. Besides the back propagation neural network, various neural networks have been developing in order to improve the performance of standard models. Though neural networks are well known method in the research of real estate, there is enormous space for future research in order to enhance their function. Some scholars combine genetic algorithm, geospatial information, support vector machine model, particle swarm optimization with artificial neural networks to appraise the real estate, which is helpful for the existing appraisal technology. The mass appraisal of real estate in this paper includes the real estate valuation in the transaction and the tax base valuation in the real estate holding. In this study we focus on the theoretical development of artificial neural networks and mass appraisal of real estate, artificial neural networks model evolution and algorithm improvement, artificial neural networks practice and application, and review the existing literature about artificial neural networks and mass appraisal of real estate. Finally, we provide some suggestions for the mass appraisal of China's real estate.
23 citations
TL;DR: A mathematical model and a simulation based on Energy 2D V 3.0.1 simulator are presented to study the effect of the conduction parameters: thermal conductivity, surface contact area, temperature difference and conduction distance on the heat transferred by the Conduction mode.
Abstract: An energy transfer across a system boundary due to a temperature difference by the mechanism of inter-molecular interactions called conduction heat transfer. In the present work, a mathematical model and a simulation based on Energy 2D V 3.0.1 simulator are presented to study the effect of the conduction parameters: thermal conductivity, surface contact area, temperature difference and conduction distance on the heat transferred by the conduction mode.
22 citations
TL;DR: A trust evaluation model with multi-factor comprehensive consideration and Bayesian model is proposed, by combining trust management mechanism, trust factor, fuzzy set and D-S evidence theory, solving factor singleness and imprecise evaluation in the original model.
Abstract: Because the current research on wireless sensor networks is not thorough enough, with such shortcomings as lack of objectivity and insufficient accuracy of the trust evaluation model of network nodes, this paper proposes a trust evaluation model with multi-factor comprehensive consideration and Bayesian model, an improved trust evaluation model, by combining trust management mechanism, trust factor, fuzzy set and D-S evidence theory, solving factor singleness and imprecise evaluation in the original model. The simulation results show that the proposed model has good dynamic adaptability, higher detection rate and lower detection error rate, and it consumes less energy and improves the security of the network.
21 citations
TL;DR: An instrumented device is used to interact with a variety of games designed to improve fine motor control, enhancing rehabilitation practices, and these games were tested with actual disabled individuals and therapists, having received overall positive feedback.
Abstract: This work details developments made in a system for hand rehabilitation, that aims to improve recovery of fine motor control, mostly for those recovering from stroke. The system consists of an instrumented device that is used to interact with a variety of games designed to improve fine motor control, enhancing rehabilitation practices. These games were tested with actual disabled individuals and therapists, having received overall positive feedback.
20 citations
TL;DR: The experiment result showed that the support vector machine classifier method could effectively distinguish human actions and significantly improved the recognition accuracy of human actions.
Abstract: In this paper, the main technologies of foreground detection, feature description and extraction, movement behavior classification and recognition were introduced. Based on optical flow for movement objects detection, optical flow energy image was put forward for movement feature expression and region convolutional neural networks was adopt to choose features and decrease dimension. Then support vector machine classifier was trained and used to classify and recognize actions. After training and testing on public human actions database, the experiment result showed that the method could effectively distinguish human actions and significantly improved the recognition accuracy of human actions. And for the different situations of camera lens drawing near, pulling away or slight movement of camera, the solution had recognition effect as well. At last, this scheme was applied to intelligent video surveillance system, which was used to identify abnormal behavior and alarm. The abnormal behaviors of faint, smashing car, robbery and fighting were defined in the system. In running of the system, it obtained satisfactory recognition results.
18 citations
TL;DR: The details of the protocol messages in smart home appliances that are encrypted by RSA algorithm and AES in which the RSA key was regenerated in every turnover of the day since the last key generation by mobile are presented.
Abstract: One of the major challenges that arise in the internet of things (IoT) based smart home systems is security issue. It is still relatively low in which the exchange of data between devices can easily be stolen by outsiders since it is connected to the internet. In this work, we present the details of the protocol messages in smart home appliances that are encrypted by RSA algorithm and AES in which the RSA key was regenerated in every turnover of the day (exactly at 00:00:00 or 1 x 24 hours) since the last key generation by mobile. The performance test is done by sending an error command and a correct command to the RGB lamp device. The results show that the designed protocol works well as expected. Given the security mechanism in the designed protocol, data exchange between devices in the smart home will be hard to break by outsiders. Thus, the users can enjoy their smart home privacy without worrying the intruders (hacker).
17 citations
TL;DR: The virtual reality (VR) interactive feature of WebVR Control laboratory based on HTML5 is presented in this paper to assist the students or researchers to conduct a realistic and immersive experiment of control engineering with a head-mounted display (HMD) equipped.
Abstract: The development of web-based online laboratory for engineering education has made big progress in recent years with state-of-the-art technologies. In order to further promote the effectiveness within an online virtual environment, the virtual reality (VR) interactive feature of WebVR Control laboratory based on HTML5 is presented in this paper. The educational objective is to assist the students or researchers to conduct a realistic and immersive experiment of control engineering with a head-mounted display (HMD) equipped. The implementation of the VR technique mainly relies on the Three.js graphic engine based on Web Graphics Library (WebGL) which has been supported by most of the mainstream web browsers in their latest version without a plugin embedded. At the end of the paper, the ball and beam system is taken as an example to illustrate the whole operational approach of the novel VR experiment in detail. While such a VR interactive feature hasn’t been integrated into some of the current web-based online laboratories, the technical solution could be inspirational for them.
13 citations
TL;DR: This paper proposes a comparative study of free e-learning platforms, from a methodical and systemic approach that identifies the dimensions, the specifications and the essential criteria for evaluating platforms.
Abstract: E-learning platforms are constantly changing; they have transformed the life of teachers and students. In this paper, we propose a comparative study of free e-learning platforms, from a methodical and systemic approach that identifies the dimensions, the specifications and the essential criteria for evaluating platforms. In addition, we evaluate the most recognized e-learning platforms in order to measure the match degree between technological possibilities that they offer and the pedagogical training assumptions. Eventually, we exploit the obtained results for the recommendation of free e-learning platforms since the LeaderTICE system that we implemented, in order to facilitate the choice of the most suitable e-learning platform to help the users in their choice to benefit of the potential offered by technologies in pedagogy
13 citations
TL;DR: Experiments show that the designed picking manipulator motion control and obstacle avoidance system not only have strong obstacle avoidance ability but also have smooth path optimization with high reliability and stability.
Abstract: In recent years, wireless communication technology has developed rapidly and the speed of wireless communication data transmission is faster and faster, as well as remote control delay has greatly reduced, which is almost negligible, so the remote control is gradually being widely used in various fields. This paper achieves the motion control of picking manipulator and obstacle avoidance system with the advantages of IOT remote control technology and PLC real-time control system. Experiments show that the designed picking manipulator motion control and obstacle avoidance system not only have strong obstacle avoidance ability but also have smooth path optimization with high reliability and stability.
TL;DR: The design of an airport logistics monitoring system based on WSN and RFID can realize real-time tracking and positioning of airport cargo, collecting cargo information.
Abstract: To better regulate the airport cargo transportation, we presented the design of an airport logistics monitoring system based on WSN and RFID. The monitoring system is mainly composed of four modules: RFID system, wireless sensor monitoring network, communication network and remote monitoring terminal. Wireless sensors mainly include temperature sensors, humidity sensors and smoke sensors. The sensors can collect the environment data such as goods temperature, humidity and smoke and so on. The node sensor module is implemented in such a way that the sensor is connected to the node in a plug-in manner, that is, the sensors are integrated on a sensor panel and the sensor data is transferred through the standard I / O interface between the sensor panel and the node. The system can realize real-time tracking and positioning of airport cargo, collecting cargo information.
TL;DR: A new fire drill platform combined Somatosensory camera Kinect and VR can achieve self-construction and virtual simulation fire drill based on somatoensory interaction and shows that the system has important practical significance and use value in fire drills, fire safety teaching and other aspects.
Abstract: The traditional fire drill is difficult, high cost, poor effect etc. in variety of fire scene simulation; a new fire drill platform combined Somatosensory camera Kinect and VR can achieve self-construction and virtual simulation fire drill based on somatosensory interaction; the platform achieves interaction between human and the 3D objects in virtual simulation environment, 3D modeling, scene building with Unity, identified human skeletal by Kinect, and using Euclidean distance matching recognition algorithm for body movements, and finally realizes the evaluation of fire drills.; the platform shows that the system has important practical significance and use value in fire drills, fire safety teaching and other aspects.
TL;DR: The problem of low working efficiency and low energy collection efficiency of functional modules is solved and the proposed maximum power point tracking algorithm provides a stable and reliable photovoltaic power supply for WSN nodes.
Abstract: In view of the problem of low energy collection efficiency and low efficiency of photovoltaic power supply modules in wireless sensor networks, a maximum power point tracking algorithm suitable for photovoltaic power supply of wireless sensor nodes is proposed. Firstly, the photovoltaic cell model is analyzed. Based on this, the traditional maximum power point tracking algorithm is analyzed. Combining with the advantages of disturbance observing method and load current maximization method, the problem of low working efficiency and low energy collection efficiency of functional modules is solved. Current observation method maximum power point tracking algorithm, and complete the relevant hardware circuit design. Experimental results show that the power consumption of MPPT circuit is low, and the efficiency caused by environmental factors is very small. The efficiency is kept above 90% and the overall system efficiency is about 87%, which provides a stable and reliable photovoltaic power supply for WSN nodes.
TL;DR: The proposed method significantly improves the accuracy, rapidity and intuition of the logistics information management and combined with the GIS software, the logistics tracking and monitoring system based on the wireless sensor network is realized by using Java language coding.
Abstract: In view of the shortcomings in information collection and tracking management in existing logistics, the key technologies of wireless sensor network and the basic concepts and methods of Information Technology Infrastructure Library(ITIL) is studied. The basic structure and main functions of the logistics tracking system based on wireless sensor network is put forward. It can effectively solve the detection, location, recognition and automatic processing of fault events and other issues of goods in the process of logistics tracking management. In addition, combined with the GIS software, the logistics tracking and monitoring system based on the wireless sensor network is realized by using Java language coding. The results show that this system can realize the tracking, visualization and automatic management of the information in the process of goods transportation. Therefore, the proposed method significantly improves the accuracy, rapidity and intuition of the logistics information management.
TL;DR: A conceptual case study is presented concerning possible applications for the health monitoring of elderly people in smart cities at reducing risk by assessing individual and overall potentially-harmful situations and to demonstrate that the system can provide compelling vibrotactile feedback.
Abstract: A sensor-fusion wearable health-monitoring system with integrated haptic feedback was previously introduced by our research group The system's components are the following: a chest-worn device with an embedded controller board, an electrocardiogram (ECG) sensor, a temperature sensor, an accelerometer, a vibration motor, a colour-changing light-emitting diode (LED) and a push-button This multi-sensor device makes possible to collect biometric and medical monitoring data from its wearer The data provide a real-time indication of the wearer's health state and can also be further analysed later for medical diagnosis The embedded vibration motor can actuate distinctive haptic feedback patterns according to the wearer's health state The embedded colour-changing LED provides the wearer with an additional intuitive visual feedback of the current health state, and the wearer can report a potential emergency condition by using the push-button In this paper, a conceptual case study is presented concerning possible applications for the health monitoring of elderly people in smart cities The proposed system aims at reducing risk by assessing individual and overall potentially-harmful situations A data collection and analysis are also presented to demonstrate that the system can provide compelling vibrotactile feedback
TL;DR: Results shows that ROC curve of GA is better than PSO in terms of normalized throughput and sensing time, which indicates that Genetic Algorithm technique for spectrum sensing in cognitive radio is effective.
Abstract: Cognitive Radio has been skillful technology to improve the spectrum sensing as it enables Cognitive Radio to find Primary User (PU) and let secondary User (SU) to utilize the spectrum holes. However detection of PU leads to longer sensing time and interference. Spectrum sensing is done in specific “time frame” and it is further divided into Sensing time and transmission time. Higher the sensing time better will be detection and lesser will be the probability of false alarm. So optimization technique is highly required to address the issue of trade-off between sensing time and throughput. This paper proposed an application of Genetic Algorithm technique for spectrum sensing in cognitive radio. Here results shows that ROC curve of GA is better than PSO in terms of normalized throughput and sensing time. The parameters that are evaluated are throughput, probability of false alarm, sensing time, cost and iteration.
TL;DR: A platform that aims to harvest Volunteered Geographical Information (VGI) from social networks and collaborative projects was created, which enables the integration of VGI with data coming from other sources, such as data collected by physical sensors in real time and made available through Applications Programming Interface (APIs), as well as, for example, official maps.
Abstract: Whenever disaster situations occur the civil protection authorities need to have fast access to data that may help to plan emergency response. To contribute to the collection and integration of all available data a platform that aims to harvest Volunteered Geographical Information (VGI) from social networks and collaborative projects was created. This enables the integration of VGI with data coming from other sources, such as data collected by physical sensors in real time and made available through Applications Programming Interface (APIs), as well as, for example, official maps. The architecture of the created platform is described and its first prototype presented. Some example queries are performed and the results are analyzed.
TL;DR: The research results showed that the algorithm proposed could meet the needs of efficient and real-time path planning in the process of completing batch picking tasks and lays a solid foundation for the realization of intelligent and fully automated warehouse management.
Abstract: To make the picking path planning of warehousing and logistics robot in warehouse more efficient and real-time, a path planning for batch picking of warehousing and logistics robots based on the modified A* algorithm was put forward. First of all, the path planning of the single robot batch picking was realized. Then, the time cost was introduced to further improve the A* algorithm to realize the batch picking path planning of the multi-warehouse logistics robots. Finally, according to the algorithm proposed, .Net visual programming technology was applied to build a complete warehouse logistics robot picking path planning simulation system to verify the effectiveness of the algorithm proposed. The research results showed that the algorithm proposed could meet the needs of efficient and real-time path planning in the process of completing batch picking tasks. To sum up, it lays a solid foundation for the realization of intelligent and fully automated warehouse management.
TL;DR: An innovation social Robotic system to offer a set of activities to help obese children in improving their capabilities to manage their selves properly and increase their obesity knowledge is presented.
Abstract: The prevalence of obesity and overweight among children has increased significantly during last two decades in Saudi Arabia with overwhelming consequences to public health. Most recommended approaches to reduce obesity have paying attention on healthier diet and physical Activity (PA). The recent research shows that the use of social robots can contribute in fulfilling all the needs to encourage children to improve their skills in self-management. As children need to be surprised and feel a sense of enjoyment when involving in any activity where they can spend time, effort and be dedicated to. Hereby, this paper presents an innovation social Robotic system to offer a set of activities to help obese children in improving their capabilities to manage their selves properly and increase their obesity knowledge. The proposed system presented in this paper will be tested and evaluated extensively in a random controlled trial in Saudi Arabia.
TL;DR: This work comprises a description of an immersive VR interface developed under the scope of Civil Engineering and an ongoing educational programme, Educational Lab - Big Machine, to disseminate Civil Engineering amongst pre-university students, simultaneously providing new tools for enhancing students’ motivation and decreasing early school leaving.
Abstract: The application of immersive Virtual Reality (VR) interfaces has shown favourable results for Engineering Education. In fact, VR interfaces provide new practises for improvising transferability of knowledge and communication amongst users, thus disclosing new tools for decision making, planning, project review and multidisciplinary cooperation. The present work comprises a description of an immersive VR interface developed under the scope of Civil Engineering and an ongoing educational programme, Educational Lab - Big Machine. The project intends primarily, to disseminate Civil Engineering amongst pre-university students, simultaneously providing new tools for enhancing students’ motivation and decreasing early school leaving. The VR interface is available online and can be tested anywhere as long as the minimum requirements are met.
TL;DR: This work will be shown the implementation in the robotic simulation software Webots, a mobile manipulator that allows to determine its operation in a virtual environment.
Abstract: A mobile manipulator is a mobile platform with a mounted serial manipulator. A Mobile Manipulator is a system subject to its kinematic restrictions and the degrees of freedom of the manipulator arm mounted on it. These systems combine the advantages of mobile platforms and robotic arms, and reduce their disadvantages. For example, a mobile manipulator has larger working space when it has a mobile platform, as it offers more functionality during operation. For the previously mentioned in this work will be shown the implementation in the robotic simulation software Webots, a mobile manipulator that allows to determine its operation in a virtual environment
TL;DR: A multi-objective evolutionary algorithm based on decomposition (MOEA/D) was proposed to simplify the solving process, and an improved crossover operator was applied to achieve differential evolution operations.
Abstract: With considering the scheduling objectives such as makespan, machine workload and product cost, a dual resource constrained flexible job shop scheduling problem is described. To solve this problem, a multi-objective evolutionary algorithm based on decomposition (MOEA/D) was proposed to simplify the solving process, and an improved differential evolution algorithm was introduced for evolving operation. A special encoding scheme was designed for the problem characteristics, the initial population was generated by the combination of random generation and strategy selection, and an improved crossover operator was applied to achieve differential evolution operations. At last, actual test instances of flexible job shop scheduling problem were tested to verify the efficiency of the proposed algorithm, and the results show that it is very effective.
TL;DR: A model driven approach to generate an emotional intelligence test platform by proposing new CIM metamodel and transformations to generate the PIM as a Class Diagram is proposed.
Abstract: Model driven approach has been introduced to deal with challenges of business and technology. This approach provides tools and elements that permit defining high abstraction level models and metamodels with their transformation to automate code generation. Besides, emotional tests have been introduced to help managing behaviors and relationships between individuals through Emotional Quotient (EQ). In this paper, we propose a model driven approach to generate an emotional intelligence test platform by proposing new CIM metamodel and transformations to generate the PIM as a Class Diagram. We present also a case study that shows how our proposed approach helps generating a class diagram automatically starting from a single input model. This generated model can be easily used to generate the application code.
TL;DR: A composite model combining Principal Component Analysis (PCA) and Least Squares Support Vector Machine (LSSVM) is established to predict the furnace temperature and shows that the new algorithm has positive significance as it achieves more obvious prediction hit rate than direct multivariable LSSVM.
Abstract: Blast furnace system is a typical example of complex industrial system. The silicon ([Si]) content in blast furnace system is an important index to reflect the temperature of furnace. Therefore, it is significant to carry out an accurate predictive control of furnace temperature. In this paper a composite model combining Principal Component Analysis (PCA) and Least Squares Support Vector Machine (LSSVM) is established to predict the furnace temperature. At the very beginning, in order to avoid redundancy and excessive noise pollution, PCA method is applied to reduce the dimensionality of original input variables. Secondly, the dimension-reduced variables are introduced to predict the silicon content by applying the LSSVM model. Finally, the result is compared with direct multivariable LSSVM prediction. The simulation results show that the new algorithm has positive significance as it achieves more obvious prediction hit rate (more than 80%) than direct multivariable LSSVM (with rate lower than 75%).
TL;DR: The transmitted signal through USRP is successfully tested in the campus of Institute of Aeronautical Engineering, Hyderabad, India and students gain experience in signal processing and receive hands on experience with the USRP.
Abstract: The radio signal processing capability can be provided by Universal software radio peripheral (USRP) hardware. The received signal frequency can be controlled and transmitting the signal through wireless is possible by installing NI USRP utility configuration. The programmable USRP was running VI snippet program in block diagram panel with radio companion integrated through USB cable on windows 7 64 bit OS. With the parameters such as IQ rate, transmitter gain, carrier frequency along with device name which is given as ni2901_1 the students can able to tune the radio signal. In addition to this the students can able to record the FM signal and extract the IQ data and plot the spectrum of signal and analyze it using graph palette. The standard FM equation contains the modulation index, carrier frequency, message signal amplitude, frequency deviation and frequency sensitivity can also analyzed using LabVIEW. By using Carson’s rule the bandwidth of wideband FM signal can be calculated. In this project RF0 module is used USRP device is connected with dual band vertical antenna with 2.4 and 5GHz frequency as Tx1 and the receiver is connected to Tri band vertical antenna with 144, 400 and 1200 MHz. while transmitting red color will blink in the device for transmitting and green color indicates the received signal. The purpose of doing this experiment was to gain experience in signal processing and receive hands on experience with the USRP. This VI snippet program will support all file formats. Up sample we used in front panel should be -1 always and if large size files is transmitted the value should be increased. The iPhone received the signal with high quality using ear pods the students can able to listen all the information which is transmitted through USRP. Here the transmitted frequency we used in the front panel is 94.7 MHz. The transmitted signal through USRP is successfully tested in the campus of Institute of Aeronautical Engineering, Hyderabad, India.
TL;DR: The proposed platform achieved a high positioning accuracy and satisfied the needs of real-time monitoring of underground personnel and shed new light on the mitigation of personnel and property losses in coal mine accidents.
Abstract: This paper aims to accurately locate underground personnel in coal mines. For this purpose, an underground personnel positioning platform was established on the wireless sensor network (WSN). Specifically, the ultra-wide band (UWB) and the time difference of arrival (TDOA) positioning algorithm were introduced briefly, in view of the underground operation environment. Then, the underground operator monitoring platform was developed based on UWB-WSN and compared it with different positioning techniques through experiments. The results show that the proposed platform achieved a high positioning accuracy and satisfied the needs of real-time monitoring of underground personnel. The research findings shed new light on the mitigation of personnel and property losses in coal mine accidents.
TL;DR: The results show that the using or adding of firewall device to the university campus computer network, will improve the overall network performance though increasing the data stream on many network sections and sectors, also better results are obtained.
Abstract: Fast growing in communication technology has influenced global changes and challenges appear in the field of network security issues. Security solutions must be efficient and operate in a way to deal with threats, reject and stop the network intruders and Trojans. The simulated network of Salahaddin university new campus is planned to build on an area of (3000X3000) meter square. The network consists of many main and secondary devices. The network is mainly consisted of one core switch that provides a very high data transfer through connecting all the collected positions by a variety of cable medias to the entire network switches which are installed in each college location. The department of academic administration (presidency) of the university design is similar to the network designed in each college. The mentioned switch obtains the services from a router that isolates the network from the cloud which supports the services of internet to the network. The firewall is connected to the switch that connects the main server and cloud together. This paper focuses on undertaking a simulation to analyze and examine the performance of the whole network when two scenarios are implemented, the first is if firewall devices is used, the second is when firewall is not used, since the project of building Salahaddin University new campus is at the initial stage, therefore, the researchers think that, it is very important to figure out the drawbacks and deadlocks of using firewall upon each branch of the network and overall network performance before the submitting the final networks design that going to be implemented and installed, because this will indicate many differences on the construction, for example, the network panels ways, the cable collecting locations, network channels and many other device fixing things depending on the media types in addition of the demand of future expansion capabilities. The results show that the using or adding of firewall device to the university campus computer network, will improve the overall network performance though increasing the data stream on many network sections and sectors, also better results are obtained.
TL;DR: Evaluating the impact of an educational tool, namely PythonTutor, for completing programming laboratory task regarding data structure materials finds that the students might be able to complete a particular weekly task with a promising result if they have understood the material well.
Abstract: —Educational tool is one of the prominent solutions for aiding students to learn course material in Information Technology (IT) domain. However, most of them are not used in practice since they do not properly fit student necessity. This paper evaluates the impact of an educational tool, namely PythonTutor, for completing programming laboratory task regarding data structure materials. Such evaluation will be conducted in one semester by implementing a quasi-experimental design. As a result, six findings can be deducted which are: 1) PythonTutor might positively affect student performance when the students have used such tool before; 2) Sometimes, student perspective regarding the impact of educational tool is not always in-sync with actual laboratory result; 3) the impact of PythonTutor might be improved when similar data representation is used consequently for several weeks; 4) the correlation between the use of PythonTutor and student performance might not be significant when the control and intervened group share completely different characteristics; 5) the students might experience some difficulties when they are asked to handle a big task for the first time; and 6) the students might be able to complete a particular weekly task with a promising result if the students have understood the material well.
TL;DR: Results of this paper acknowledge that order management and inventory control can help decision makers and researchers in solving some problems in manufacturing industries.
Abstract: This paper studied on supply chain in terms of order and inventory problems and factors. The extended review of this paper showed that extra costs are the most important factors in the survival of an organization and have a significant impact on company competitiveness. However, holding inventory, order acceptance, and functional risks are factors that have not been studied simultaneously. The purpose of this paper is to provide a review on critical problems and factors in order and inventory models under supply chain management. This paper selected and reviewed 56 published articles in a decade through 30 famous relevant journals which were chosen from the “Science direct and Scopus” databases. Amongst 56 articles, “International Journal of Production Economics” was ranked as the first by 11 published articles. In this regard, the applications of the Artificial Neural Network method which called “ANN”, ant colony algorithm and queue theory have been proposed. All published articles were categorized based on the author number, The first author name, publication year, problems, factors, type of manufacturing industries, research methods and results and findings. Results of this paper acknowledge that order management and inventory control can help decision makers and researchers in solving some problems in manufacturing industries.