ICPET2020 Second Session
uh welcome back at the second and third sessions second session is entitled iot and smart systems and the third session is entitled circuits and communication systems so uh we start now with a second session iot internet of things and the smart systems this session is shared by dr ahmad isa and he is live with us so we have in this session one two three four five six papers a huge task for you i hope i'm ready okay okay so uh we hope the audience are joining us now we have nearly 40 attendees now and if there are presenters i ask them kindly to to wave so we can recognize them and add them as better lists also we have uh dr assam and he also will be also maybe responsible for our answering questions regarding his papers he is also with us thank you guys i'm here okay dr ahmad you can start presenting the first weber while i upload or prepare the presentation for play sure well first of all good afternoon uh ladies and gentlemen i'm very honored uh to participate in icepet for the fourth year in a row this year i'm participating as a session chair and the first paper in this very rich session will be presented by mr faddy abdel haq and he is presenting his work entitled wireless sensor network for traffic monitoring and this paper is co-authored by dr adnan salman our presenter for this paper mr muhammad abhilhak received his bsc degree in software engineering from philadelphia university in jordan and his master's degree in advanced computing from national university in palestine his research interests are mainly in the areas of sensors and control systems he is working as a part-time lecturer in the department of computer and information technology at rauda university college in nablus and he also works as a programmer and a technical advisor at the health master company in naples palestine so if the presenter is with us live today may raise his hand to present or alternatively doctorize you may if you don't mind start playing the video the video is ready but i want to see if he is with us so we can promote him as benedict yes yes okay so hunger thank you hello everyone i welcome you all to my presentation my name is muhammad abdullah from national university national university i hope you will find this presentation interesting and informative the main idea of this paper is to develop a powerful wireless sensor network for traffic monitoring traffic is monitored by a sensing system that can be placed adjacent to the road and can be used for vehicle counting speed measurements and vehicle classification this system uses sensors that are sensitive to the magnetic field perturbation here is an overview of what i'm going to be talking about i will start with a quick introduction to the problem that i'm working on then i'm going to be talking about objectives system architecture transportation is one of the most important in the daily life of human beings that have a major impact on economy and social interactions the most problem associated with the transportation is a trophic congestion as we know the consistent and traffic delay are caused by number of vehicles on the roads or more infrastructure of roads another main cause of traffic congestion is the traffic management system the smart traffic management system can reduce congestion for example by controlling the traffic light dynamically based on the traffic flow parameters so the traffic management system offers ability to obtain real-time information about the trophic flow this information known as trophic flow barometers which include number of vehicles type of vehicles and speed of vehicles there are many types of trophic barometers detectors the most common ones are inductive loop and video recognition each of these detectors has on limitation for instance video image detectors are sensitive to the weather conditions on the other hand deployment and the maintenance of the inductive loops need to cut off the road service and interrupt traffic vehicles both of them are expensive and they are not suitable for large scale deployment also both of them are developed by many researchers the accuracy rate was not 100 percent it could and it could vary from 40 to 100 percent depending on the amount of data and weather condition the objective of this research is is to design and develop a system that measures traffic flow parameters and communicate them wirelessly from roadsides to the base stations once the data is available in the base station it can be processed analyzed saved and shared with other users includes human or computer applications through the use of web services which allow creating a smart traffic management system this paper does not focus on measuring the traffic road barometers themselves instead we used a simulated data to evaluate the system the earth provides us with its magnetic field that permeates everything between the south and north poles since all vehicles are made of metal parts the earth's magnetic field is disturbed by the movement of the vehicles therefore we need a magnetic sensors that measure the perturbation in the earth magnetic field caused by the movement of the vehicles the magnetic field is composed of string and direction x y and z which can be measured by the amr sensors the design of a traffic monitoring system consists of the software and hardware components the hardware components consist of a wireless sensor network magnetic sensors and base station the software component include a database to store the traffic parameters a dashboard to visualize the traffic parameters and web service interface to allow accessing the traffic data from other application as shown in the figure the wireless sensor network consists of four main components sensor nodes coordinator node base station and internet server each sensor node contains arduino microcontroller for processing data 3mr sensor to be used as a sensing device xb radio for wireless communications power source and xb shield used as xb arduino adapter the second component of wireless sensor network is the coordinator node the coordinator is an xb radio connected to the serial usb port of base station using the usb adapter sensor nodes gather the data from their attached sensors and process it to extract traffic parameters count chain and speed then communicate this data through a coordinator node to the base station the application running on the base station gathers the information from wireless sensor network and communicate them to a web server on the cloud and saved them in the database as you see in this figure this is a configuration of the sensing system which includes three amr sensors blazed on the side of the road to detect passing vehicles for the purpose of counting them and estimating their speed and size sensor 2 is blessed horizontally in front of the sensor 1 and sensor 3 is blast vertically above sensor 1. the signal along the z-axis have almost the same pattern for all types of the vehicles hence the magnetic reading of z-axis of sensor 1 used for detecting and counting the passing vehicles also the speed of the passing vehicles can be estimated by using two horizontally spaced magnetic sensors which are sensor one and since or 2 if the distance between sensor 1 and sensor 2 is d and if the detection time of sensor 1 is t1 and detection time of sensor 2 is t2 then the speed equal to the distance d divided by the difference between two detection times t2 and t1 also the height of magnetic disturbance reading of z-axis from one and three can be used to give an estimate of the vehicle size these two flow charts show the system data flow the arduino microcontroller in each sensor node reach the magnetic field values detected by 3mr sensors then determines if these values indicate the rising vehicle the current time and the vehicle speed and size are assembled into a bucket then send packets to the coordinator through its xp the coordinator node that connected directly to the base station computer through the usb port gathers the data from the sensor node wirelessly and passes it to the base station for the base station application data flow the application listens to the serial board once it reads a header byte it knows it is a beginning of a new bucket and does some calculations to determine the source node id and receive data then display the received data on the dashboard and save it to the data base to implement system since our data were simulated by generating random data as an alternative to the magnetic sensors readings each sensor node generates a random vehicle speed drawn from the normal distribution and selects size of the vehicle randomly from list and set current time as detection time then it assembles the bucket from the simulated data and send them to the coordinator node the coordinator node receives packets from sensor nodes and write them to the serial board of base station computer the base station application reads buckets from the serial board and extracts the traffic parameters from the buckets and store them in a database to evaluate the system two base station applications have been developed the first application reads buckets written on the serial board of base station and extracts traffic parameters from them also it shows them on the screen with a statistical chart as well as serves them in the database the second application retrieves the counter of the traffic parameters collected from specific nodes from the database by given two dates two times and sensor node id parameters are displayed as statistical data in the form of pie charts and histogram the top by chart displays the distribution of vehicle speed at the specified date and time periods the lower pie chart displays the distribution of vehicles sizes at the same date and time barriers the histogram in the right side of the figure shows the number of vehicles for each vehicle size in speed category the conclusion we provided an architectural design for traffic monitoring system that evaluate them and the main traffic parameters traffic count speed and vehicle size the information is necessary for designing and developing an intelligent traffic system the paper focuses on the implementation of the wireless sensor network components of this system only we are currently integrating the amr magnetic sensors to be used in this environment thank you okay thank you very much for uh this interesting presentation mr muhammad may i ask if any of the audience has a question okay if there are no questions i would like to just have a small clarification if uh if you could just explain um how far are these sensors in your design how far are they placed from your base station uh you know in order to avoid situations like delays in the data transmission and this causes this could cause data analysis at a very let's say earliest time in in the sense that the vehicle arrives at the traffic light but still the data is not processed yet is there any parameter that governs that distance i'm not sure if mr faddy got my question okay uh can you beat uh sure i was asking if you have in your design a parameter that governs how far the sensors should be placed from your base station in order to make the analysis of the transmitted data in the proper time in very adequate time before the vehicle arrives at the traffic light is there a specific distance or a parameter to control this distance distance from themselves no distance between um the whole sensor assembly and the basis station more than 100 meters okay and yeah it sounds fair enough that that should be enough time for maybe analyzing the data before the vehicle arrives at the traffic light we can have router nodes to increase the distance okay yeah that that that is for sure and uh yeah um thank you once more for uh this interesting uh topic i believe it's a very important component in smart cities and the future is full of such applications and we are in strong need for such research works thank you very much for your efforts thank you okay we shall move on to the next paper and this paper is entitled uh smart system to avoid car accidents uh it's co-authored by mr muhammad safarini dr rasha safarini and dr islam is heart the presenter will be dr rasha safarini for today's paper she is currently finishing her phd degree in information technology engineering at the arab american university which is jointly i gather it's jointly offered by with palestine polytechnic university and al qur's university she has obtained her master's degree in computer engineering from puts university and her bm's in computer science engineering from palestine technical university hodori she has an interestingly diverse educational and research background it's covering image analysis processing embedded systems and iot and without any further due if dr russia would like to present a live or alternatively doctorized you may play the video hello everyone our research is smart system to avoid car accidents i am rasha safarini my colleague is mohammad safarini our supervisor is dr assam is hack i will introduce our research to you then i will talk in details about the two parts of our system our system is comprised of two systems which are smart road system and smart car system after that i will play a demo of our project finally i will show you results conclusion and future work there are several reasons that cause car accidents some of them are inside the car the others are in the environment around the car to reduce and avoid car accidents we should focus on solving these problems to do this we proposed our project which consists of two systems one of them deals with the environmental problems the other focuses on solving problems inside the car as we can see here each part of our system contain consists of arduino raspberry pi and raspberry pi connected with each other to read data exchange it between the two systems and observe a web server which connects the two systems with each other here we can see the assemble system here we have the raspberry pi of the smart car system the raspberry pi of the smart road system the arduino of the smart car system the code of the raspberry pi and here also the code of the raspberry pi of the other system finally the smart road the arduino of the smart road system and sensors of our systems smart car system focuses on studying factors inside the car that may cause accidents and study the awareness of the driver we used several sensors for this task which such as dht22 humidity and temperature sensor web camera and gas sensor and q2 also we used actuators such as gear motors which represents the wheels of the car servomotors and lids here we can see the connections of the arduino with the used sensors and actuators this is the arduino and the gas sensor the servo motor the the gear motors and the lids that represents the light of the car the smart car system contains several sensors and actuators as we said before to the these sensors is used to read information and take actions when a problem occurs inside or outside the car the first part of the system is the video camera which is the first part of the system is the video camera which is positioned in front of the driver the camera captures images continuously and sends them to the raspberry pi to analyze them the raspberry pi detects the driver's eyes from the images and analyzes their status to decide if they are opened or closed if the deriver eyes are opened then the system does nothing otherwise the system analyze more images image frames in the case the eyes are kept closed for more than two seconds then the system realizes that the driver is sleeping subsequently the raspberry pi takes two actions firstly send a signal to the arduino to turn the to turn on the alarm reduce the car speed until the car is stopped unless a new signal is reached that the driver woke up the second action is sending a signal to the web server to contact the smart road system to open the smart pumps on the road this will make noise which helps in walking up the driver the second part of the first system addresses the probability of the decrease of auto in the car and in turn increase the amount of co2 gas additionally temperature rise in the car causes a danger and increase the probability of making the driver sleepy and increase the probability of car accidents so to avoid these problems dst 22 and mcq2 sensors are used to continuously measure the temperature and auto and co2 concentrations inside the car the arduino reads the measurements of these sensors each minute and decide if it's normal or not if the readings are normal then no action is taken otherwise send the signal to the servo motor to open the car windows the second system of the the second system of the whole proposed system is the smart the smart road system which focuses on studying the environmental factors that may cause accidents this system also has several sensors and actuators which works to reduce the probability of car accidents this the used sensors here is the hta 22 humidity and temperature sensor and photo resistor the actuators are gear motors and servomotors that represents the smart pumps on the roads also here we can see the connections of the second system the arduino the sensors and the motors and the ldr the dht22 the connections between them and the arduino the system works in two aspects first when the web server receives a signal from the smart cloud system indicating that the driver is falling asleep it sends a signal to the raspberry pi of the smart road system this system in turn sends a signal to the system arduino that guides the servo motor to open the smart pumps in the road the bumps remain open until a further message comes stating that the driver has awakened the second part of this system studies and analyzes the weather conditions to know if there is fog on the road ahead of the car because of fog impairs the driver's vision which also increases the probability of car accidents the system has a dht22 sensor to measure the temperature and the humidity in the environment around the car and a photoresistor ldr to measure the light intensity the arduino reads the values of these sensors and analyzes it if the measurements are in the normal ranges nothing is done otherwise the arduino sends a signal to the raspberry pi that there is a fog ahead which in turn directs the message to the web server to communicate with the smart car car system to turn on the lights of the car finally each five minutes the system reads the photoresistor reading this value is used to exchange messages between the two system to make sure that the lights of the car are turned on during the night in the whole system we used uh two types of network connections first the first one is wireless communication using wi-fi this type of communication needed when the two systems required to communicate with each other and be when the raspberry pi and the web server wants to communicate to exchange messages between them the second type is the weird communication which is the serial communication between the arduino and the raspberry pi as a conclusion car accidents increased these days to avoid car accidents we should avoid its causes for to achieve this task we proposed a system which comprised of two systems smart road and smart car systems several sensors and actuators are used in each system to achieve this goal the two systems works which is with each other to avoid and reduce the probability of okay of car accidents now we will play a demo of our proposed project you can see here when the driver eyes are closed more than two seconds the buzzer starts and the smart pump open also the car goes slowly onto the stove as we can see here the smart road system reads humidity and temperature because the humidity is very high the sends a message to the smart car system to uh turn lights on automatically when the smart road system uses reads detects light using ldr the lights turned off automatically and vice versa also when the humidity is very high the smart road system receives a signal to open a fan in the road to reduce the humidity and the temperature of the roots and vice versa when the humidity and temperature goes low the fan is stopped inside the car the smart car system here when the gas sensor detects increase in the co2 the it sends a message to the servo motor to open the windows finally we develop and android application to display the read data from the sensors to the driver as we can see here this is the android application and the data read from the arduino it's not a human doggy excellent was that the end of the presentation thank you very much dr russia very interesting paper and i would like to ask if any of the audience has a question okay if there are no questions i have a small comment what you've presented is very interesting and it shows how these technologies can be employed in the future the whole lot of sensor networks and wireless communication in order to make the driving practice safer i would be worried a little bit about the time response of the system in terms of taking the action usually they say it takes about one quarter to three quarters of a second to respond to an event on the road if it doesn't happen within that time an accident would occur um my major comment uh on this great work would be maybe to focus uh if you haven't considered to focus more on uh controlling the internal factors of the car to make it more smart rather than focusing on the infrastructure level because response time would be um a major concern there and also uh if you're listening russia and taking notes and also i guess um the cost of implementing the thing will be massive if you want to target the infrastructure one of the things you may be you think i'm sure you thought about a lot of sensors maybe the grip force on the steering wheel of the driver that is another uh factor that you should consider when you want to detect if the driver is falling asleep or not there are plenty of opportunities in this field it's a very great work and i'm happy to see that in palestine the the applications of iot and wireless sensor networks is starting to make a leap forward i would like to congratulate you and your supervisor and two authors in this work thank you shall we if russia or dr want to comment your welcome okay and can we make it to the next yeah next paper do i would you like to add something i congratulate you you're you're you're the maestro of this session dr assam masha'allah thank you thank you actually i have no comments what you mentioned are actually of course very valuable inputs for further research you already mentioned that this is we're just picking up the research we're just opening doors which is which is good but there is there is a lot plenty of things to do it's out of my amusement actually stuff like that for us as engineers amuses us and we we feel so happy to see things like that starting to take place in palestine excellent uh the next paper uh third paper of the today's session is entitled uh improving uh irrigation by using a cloud-based iot system and it's authored by dr russia asaf and dr aisam isharp another dr russia for today she is currently finishing her phd degree in information technology engineering at the arab american university jointly with palestine technical polytechnic university and alcots university she obtained her master's degree in computer science from albuts university her bsc in computer information system from open university she has an interestingly a diverse practical and professional experience as a lecturer and the head of the technical and engineering department at omaha university college she has research interests in dynamic information resource management web and cloud-based iot systems without any further due and we may play the video or if dr russia is with us she can present uh her paper line maybe if she is with us we can promote her to be penalised yeah if not also dr assam is with us he also also i guess i have the video as well yes i can run it as you wish it's interesting to see women in iot this coincides with what dr safa nasruddin was talking about in the earlier session about enabling and empowering females palestinian females specifically in the areas of technologies and iot i would say this session is dominated by female researchers which is an excellent thing doctor is mustaf a bhd student i will be presenting my paper as titled improving irrigation by using a cloud-based iot system presented by rasha asaf and dr islam is hack the outline motivation introduction the robust system conceptual design for irrigation system area of utility system feature system component hardware and software cloud platform flow chart block diagram electric circuit diagram discussion and future work conclusion the introduction combining both advanced technologies in hardware and software the internet of things is able to track and count everything which can incredibly decrease the cost and waste the iot transforms the agriculture industry and enables the farmers to assert with their challenges and inventive applications can address this problem and therefore increase quality quantity cost and sustainability effectiveness of product production motivation rainfall levels have been dropping in palestine over the last few years and spring water flow has been decreasing and unpredictable increasing demand for food needs agriculture become an important factor in the economy limited the amount of workers to cover a large area of farm and limited time to overcome the limitations of the irrigation system in conventional farming and to provide and maintain the crops in their optimum environment for growth in terms of soil moisture and temperature the robust system is programmed and connected in a star topology two sensors send the extracted data to the server at predefined time intervals in minutes depending on many factors such as what are the type of plants the information is sent by wi-fi the blank server the information is summarized and displayed to iu to the user through an application interface the user can take various actions such as controlling the irrigation system via the application interface the conceptual design of irrigation system the components is connected together as shown we have the pc cloud storage the microcontroller water tank soil moisture and temperature humidity sensor area of utility the primary factor of this project is to help the farmers and reduce their work this model can be implemented in biryanal plant irrigation and land and gardening land system feature convert to other approaches my proposed approach is simple does not require configuration and ah and iot knowledge it also provides symbol to use interface to customize different aspects of the system the system components the hardware and the software the hardware components the esp8 wi-fi model which is a complete and self-contained wi-fi network solutions that can carry software applications or through another application processor and install all wi-fi network capabilities uh the relay switch which is an open and closed circuits electromechanically or electronically a soil moisture sensor this sensor can read the amount of moisture present in the soil surrounding it and the second component now we're still in the first component the hardware we have the dht22 sensor which is a basic low-cost digital temperature and humidity sensor the last one is the dc motor pump um which as it's the dc motor is any of a class of rotary electrical motors that convert direct current electrical energy into mechanical energy and the fan the main role of the fan is to harmonize the temperature and humidity of the air as it works on generating an internal air steam unlike when there is no fan and with the presence of an air steam the air humidity will be reduced and this this will also reduce the occurrence of wonder diseases this will also increases the gas exchange on plant leaves so that it reduces the accumulation of carbon dioxide during the morning and in the night it reduces the accumulation of oxygen the software component arduino the irrigation system is written in arduino c using the ep the esp8266 the arduino is connected to the uh microcontroller to send the soil moisture and humidity blink is an internet of things platform aimed to simplify building mobile and web applications for the internet of things cloud platform the blink server is used for building web applications and mobile applications using an open source and jfr and java server it's considered as an appropriate platform for iot applications to send and receive messages between playing mobile application and different microcontroller units the flow chart as it's shown here we have uh here it starts here the esp giving instruction sensors detect the soil moisture and temperature data sent to the cloud login from the pc or smartphone users interface depending on the level of the moisture and and the temperature in the soil the fan will work and the bomb will work on on off depending on the level uh the barometers are adjusted back to reasonable levels sensors measures uh the parameter the electric circuit diagram as shown here the advantages of our paper is water conservation real-time data give operation costs efficient and safe time increase in productivity and to reduce soil erosion and nutrient leaching the challenges there is uh many challenges like the complexity the iot is a diverse and complex network privacy and sec and security issues uh laser employment of manual staff or unskilled workers equipment is costlier and the awareness of the palestinian foreign for this technology discussion and future work there are many challenges in building automation systems depending on many factors as controlled by farmers such as sorry many factors as collected by farmers such as a soil type water humidity transplant type like citrus fruit seasonal fruit and vegetables irrigation time as it is recommended to throw to thrives the blend at the time of budding in the future we recommend to build a database including all information about all the above mentioned factors for the crops in palestine by classifying the plant into many categories such as mentioned above that will make the farmer feel safe and in using the automation irrigation system our conclusion i conclude that this system is easy to implement and time money and manpowering saving solution for irrigation field a farmer should visualize a visual a vigil a farmer should visualize his agricultural lands uh moisture and content from time to time and water level of source is sufficient or not iot best smart irrigation system displays the values of the sensors continuously in a smartphone or on computers web page and former can operate them anytime from and anywhere thank you thank you very much dr russia for this interesting presentation it's a very important application area since as you introduced at the beginning palestine suffers in many areas from the scarcity of the water resources so it's important to intervene using such technologies in order to optimize the process and use the resources wisely i'm not sure if any of the audience has a question for dr russia maybe maybe i have a question sure it's well known that internet equality are not so good especially maybe in a rural area where most agricultural agriculture happen okay so i don't know if the internet equality how the whole system is affected if the internet equality is bad or not available in certain cases will the system stop or are there maybe something like emergency plans are you here to answer or should i okay so i think i can give you an answer so actually the internet quality of course it's uh it's a important factor but especially in this system it's it's it's not really like the car accident system where you have to have very fast reaction so it's actually tolerant to short disconnections so it uh even if if you're disconnected for even a few minutes it will not hurt anything you're you're just either regretting a little bit too much or a little bit less and also can the system be autonomous alone in currently not but it's easy to do it is to do this is a easy extension so if there is no connection that to continue working as is but also what i wanted to say it's the amount of data that is transferred is actually very little so using technologies like for example lorawan which is still not available in palestine you could reach rural areas with a single cell up to tens of kilometers with a single cell it's not like wi-fi so it's uh it would be very sufficient uh with these technologies but with wi-fi of course you need better connection or with gsm thank you very affirmative answer this is very interesting as i said at the beginning and a what should i say it's true that this process is not prime critical as the car accident process but i would say maybe it's an environmental critical application where maybe all modules should be protected and i would go about a modular design drive some in such systems because it depends on the customer needs in different areas so modularity in implementing the design would be a good thing to consider i congratulate you once more on this very interesting application yes definitely i agree with you should be modular thank you very much we shall move on to the next paper the fourth paper of today's second session it's entitled a cloud-based internet of things approach for smart irrigation system focused on the design and implementation the paper is co-authored by doctor and dr assam dr thayer is currently finishing his phd in information technology engineering at arab american university it seems that this program is very famous and plenty of applicants are enrolled um with his previous colleagues he received his bsc in computer engineering and msc in advanced computing from national university he has research interests which include evolutionary computation meta-heuristics data mining and machine learning so let us all together listen to his interesting topic in the field of agriculture as well assalamualaikum welcome everyone my name is fair from alcott's university first of all i would like to thank the committee of international conference on promising electronic technologies for their great efforts and excellent organization in this presentation i will introduce our paper entitled cloud-based internet of things approach for a smart irrigation system design and implementation this research has been introduced by me and dr assam is hard from alcott university palestine these are the presentation outlines i will talk about the problem statement and suggested solutions motivations of the study the proposed system architecture our main contributions the system design and implementation and finally conclusion and future directions water plays a significant role in the economic development of countries the availability and accessibility of freshwater creates opportunities for developing countries for sustainable economic growth social and environmental benefits in our country palestine water scarcity is considered one of the most critical problems for environmental and political reasons as water resources are limited and the israeli occupation controls most of them according to the food and agriculture global information system 69 percent of the fresh water is consumed by the agriculture sector at the worldwide level farmers often use traditional irrigation systems to water their crops these systems are ineffective they consume a lot of time and effort especially when several fields are distributed in different regions moreover traditional irrigation often leads to the problem of over irrigation and hence consuming large amounts of water it also may cause an under irrigation problem that negatively impacts the quality of crops these problems can be handled by adapting modern technologies to build smart automatic irrigation systems which have recently attracted considerable interest in the agricultural domain the proper design and installation of an automated irrigation system have many benefits compared to the traditional one it will schedule the irrigation process in an optimal way and thus contribute to reducing time effort and cost it also saves significant water while improving plant quality with less human intervention the availability of innovative technologies such as internet of things sensors wireless sensor networks and embedded processing significantly contributed to building effective education systems these technologies allow generating a vast amount of data that can be stored visualized and analyzed to extract useful knowledge that will improve the overall planning strategies and decision making process the proposed solution if it is generalized especially in developing countries will contribute to achieving two of the sustainable developing goals first it will ensure goal number one nobody second it will partially ensure goal number six clean water and sanitation these facts motivate us to provide this solution at the global level and also encourage us to provide a solution that contributes to the exploitation of our local water resources in palestine which suffers from the water scarcity problem now let's represent the proposed system architecture the probe system can be divided into three main subsystems that cooperate to achieve the purpose the first part is oily sensor network the second part is central processing unit and the third part is cloud computing services the wireless sensor network consists of interconnected sensor nodes that communicate wirelessly to collect data about the surrounding environment in this project the main parts of the wireless sensor network are sensing sensor nodes and the coordinator the sensor node is employed to gather data from different types of sensors as we can see in this figure we use two types of sensors as a sensing unit the fair sensor is yl69 moisture sensor used to measure the humidity of the soil the second sensor is dh22 that utilized to measure the relative humidity and temperature as a processing unit we used arduino uno to read the input values of connected sensors and send them serially to the connected transceive transceiver component for our wireless communication we employed xb6b module which configured to ensure the safe delivery of the collected data to the targeted node the second subsystem of the proposed framework is the main control unit contains of raspberry pi a coordinator xp module and a solenoid water electrical valve the primary purpose of this node is to collect data from the remote devices analyze them and control the irrigation process the major tasks of raspberry pi are read data from the connected coordinator xb module and then analyze the gathered sensors quantities based on the analyzed data it will provide the proper decision whether to irrigate or not by controlling the electrical water valve finally the collected data are transferred to cloud using thingspeak api to improve the effectiveness of the proposed system and to benefit from the cloud services we use fingerspeed iot cloud which is an iot analytical platform cloud service that can be utilized to aggregate visualize and analyze live data streams in the cloud it provides farmers and interest persons with a live streaming platform to monitor the status of the plants create instance visualization and sending alerts so in this paper the major contributions are summarized as follows transferring the measured quantities by moisture sensors wirelessly to the raspberry pi a wireless sensor network using xb modules is utilized to achieve this task the gathered data is transferred to the cloud for storing visualizing and motor monitoring the agricultural parameters the system provides efficient automated irrigation that ensures high quality of crops saving water and reducing human involvement excellent i guess very short and now let's briefly present the hardware and the software components of the proposed prototype the proposed prototype was designed and implemented using different hardware and software component as follows raspberry pi arduino uno moisture sensor humidity and temperature sensor xb and xb xl dangle power supply 2 channel relay module and solenoid electrical valve in software we used xctu to configure the xp arduino ide thingspeak iot platform and rest apis the arduino is programmed using ide and c plus plus programming language while raspberry pi was a proper programmed using python actually at this phase of the project we were interested to verify that the proposed model is working properly in all its parts the tested prototype shown in in this figure is composed of a wireless network consisting of two nodes each node controls the irrigation of a sample of soil when needed and storing the gathered values in the cloud forming monitoring and obtaining graphs these are samples of data collected over a period of time as well as the live data streams visualization obtained from thingspeak platform we can easily monitor the fields and know the condition of each one as well as the values of humidity temperature and decision taken in each case when scaling up this prototype and apply it on real fields distributed in different regions the gathered data can be utilized to extract hidden and useful knowledge by impul by employing data mining and machine learning techniques this helps farmers and others for planning and decision making it also helpful for for early prediction purposes in this paper an efficient cloud-based iot framework for controlling and monitoring the irrigation process was designed and implemented the main objective is to save water and improve the quality of crops after inspecting the prototype many challenges are boost soil is different from place to blaze and this poses a challenge to choosing the right sensors and also the right values judging whether the amount of water in the soil is sufficient or not varies with different crops consequently it is necessary to rely on the experience of farmers and the previous studies to build the database for the various crops so that the appropriate settings are determined for each crop the number of sensors that should be used and perfectly distributed is a big challenge therefore artificial intelligence techniques must be employed to find and estimate the optimal number of nodes to cover large areas the humidity sensor must be carefully calibrated and extensive experience should be applied to have the required accuracy in addition wireless sensor networks have many challenges such as security security issues for future work extensive experiments will be conducted on real crops and analyze the resulting data using machine machine learning to obtain useful recommendations a comparison can be performed with the traditional irrigation systems in terms of water consumption and the quality of crops to ensure the effectiveness of the proposed model moreover the system can be adapted to consider more environmental data by adding different types of sensors thank you for listening thank you very much dr uh another interesting speech of presentation about applications in the agricultural field i wonder if any of the attendees has a question for dr okay if not i guess the same may be recommendations made earlier on the similar implementation um in terms of implanting sensors in the soil and maybe routing the wires i i guess there will be a major concern in that area maybe your future work i would like to see in the future and that you have taken the environmental factors into consideration in implanting your sensors in the soil i also posted um website on the chat box if you would like to visit their range of products they have very interesting products covering the range of sensors that would be applied in this area i wish you every locked in in your future research endeavors shall we move on to the next paper okay the fifth paper and today's session is entitled online monitoring health station using arduino mobile connected to cloud services specifically in a sub-topic on the heart monitoring system and paper is co-authored by dr iman and dr dr iman is also currently finishing her phd in information technology engineering uh she obtained her master's degree in scientific computing from birzeit university and obtained her bachelor's degree in computer science by computer systems engineering from berget university as well she works currently as a computer engineer at the ministry of labour and she has research interests in the health related technology systems and applications hi this is iman karaja i will present our paper which is titled as online monitoring office station using arduino and mobile application connected to the cloud service in our presentation i will present uh the introduction the proposed system components uh which consists from the electronic circuits which consists from the heart rate sensor the body temperature sensor the hc-05 bluetooth module the electronic circuits schematic diagram uh then i will talk about the arduino ono then talk about the android application then the google sheets cloud then i will talk about the system architecture which contest from the system block diagram and system software uh flowchart diagram then discuss the results then conclude the work okay as an introduction uh as the word suffers from the kavi 19 which is a newly discovered coronavirus that have been officially announced as a pandemic by the world health organization in the march 2020 it's a new virus in the medical care that has no specific treatment until this moment believing in the importance of the using electronic and technological development to raise the level of the healthcare our system idea came to came to design the online monitoring health station which displays the the vital data in in real time including the accurate measurements of the heart rate and body temperature and special alarm system without the need of going to the hospital monitoring the vital signs of a human body including the body temperature the heart rate representatory rate the blood pressure and the saturation of blood oxygen are very important since they help assess various body functions and indicate the potential diseases in our system we connected an electronic circuit to build a mobile phone that stores and display the vital data of the heart rate and the body temperature in real time in a cloud service which made the monitoring process easier it sends an alarm when the readings are abnormal and makes an auto call after a 5 5 abnormal readings we will present the software on the hardware implementation the proposed system components the hard monitor system consists of the following hardware and software components electronic circuits the arduino the the arduino ono the android application and the google sheets cloud let's talk about the electronic circuit the first part in the electronic circuit is the heart rate sensor the heart rate sensor the sn11574 is an optical the heart rate sensor that measures the heart the heart speeds per minute the changes in the blood volume in the orient related to the changes in the intensity of the reflected light through it our system adapt the reflective mode for the light for the light source and the detector as they are adjacent to each other and the person finger plays in front of the sensor it should be noted that the heart rate sensor is provided with filter to reduce the noise and increase the accuracy of the measurements the second part of the circuits was the body temperature sensor i used the lm35 uh sensor uh which scale factor uh is a 0.1 uh voltage power surface the third module the third part is the hc-05 bluetooth module bluetooth is a wireless technology designed to the to replace the wire connection hc-05 module is based on the in the bluetooth technology to connect the electronic circuits with smart devices like smartphones hc-05 module communicates with the arduino owner using a serial communication we use the default setting of the ht05 bluetooth module that can be changed by the atm commands this module will have the following pen configuration they enable the tx the rx and the vcc the data is transmitted to the phone uh via bluetooth using the arduino ono and displays the readings on a mobile screen this is the schematic diagram for the electronic circuit in our system we use the separated power supply to avoid the noise caused by the bluetooth module the hard signal is too small and sensitive so they can be easily affected by any nose the arduino honor the arduino ono development board which contains 80 mega uh 328 microcontroller used to calculate the number of the heart beats per minute let's also measure the body temperature and send the calculated values to avoid to the android application the hc-05 bluetooth module if the signal voltage is above the threshold voltage then it's it's considered as a heartbeat software code had been written using the un uh the arduino c programming language which contains a specific library to measure the heart rate and come in and communicate the via bluetooth module the hard uh the hearts monitor android application the hard monitor application have uh has been created on the online platform mit app inverter uh this application displays the patient's parameter which are the heart rate and the body temperature when the heart rate value is abnormal less than 40 and more than 120 the application will make an an alarm then after five abnormal readings it will make an automatic call to the specific phone number that can be a patient's a companion number or the healthcare professional this screenshot presents the heart monitor application the google sheets cloud in order to make all vital values available for the medical stuff we use the google shitty cloud to sense heart rate and body temperature and store and store them in the cloud google cloud service is a free and support real time feature and this screenshot presents the google sheet cloud the system architecture okay let's talk about the system block diagram the heart rate and the bodies and the temperature sensor gets a none a numerical value from the patients the uh the arduino microcontroller process the data and convert it to the numerical values the numerical values can easily send to the mobile phone using the bluetooth module the mobile phone using the internet connection and the web viewer component connected to the cloud after that results can be monitoring from anywhere have internet connection through a special link uh and google's in a google sheets okay the software flow tied the flowchart diagram and the flowchart diagram presents step-by-step uh implementation for our system first the uh sent analog voltage proportional with the heart rate and temperature value from sensors to the arduino calculate the heart rate and body temperature value using the arduino code send data and mobile via hc-05 module which is bluetooth monitoring the vital values and switching an alarm when the heart rate values getting abnormal makes an auto call for a specific number when the heart rate staying abnormal for five consecutive times sends data to the google sheets cloud to be available for the medical stuff the results to make an accurate result we fix the heart sensor around the patient's finger using a dark piece of plastic to avoid readings error caused by the motion or the light interference we compare the result that we get from the hard monitor system with an ecg device in the uh cardiologistic clinic to compare the accuracy of the system the error rate calculated by finding the difference between the measured value from the hr sensor 11574 in our system and the known value from the ecg device divided by the unknown values okay in this table we showed that we showed a comparison a result between the ecg device and the heart rate sensor 11574 for the five patients at the cardio logistic clinic by calculating the arithmetic average value the error rate is 2.56 percent and the accuracy of the heart rate sensor is 97.4 percent as a conclusion we can we can conclude the work as follows monitoring the human vital signs such as heart rate and body temperature is important for people who have critical health station health situation and they can be an indicator to other diseases heart monitor system shows a high accuracy result compared to the same readings measured by the ecg device the measured value are displayed on a mobile phone using the heart rate monitor monitor application the results are stored and displayed in a cloud service simultaneously for a continuous and real-time monitor to the patient's heart rate and body temperature by the medical stuff anywhere and anytime without the need for going to the hospital the system will make an alarm and automatic call for just for a registered number when the measured values are abnormal using the android capabilities programming without a need for going to the hospital or even a person to monitor the patient's health thank you very much thank you dr iman for this interesting presentation i think it was clear and very organized well organized any questions from the audience okay maybe i have a small comment or a question i can see that this is a very interesting implementation of a wearable system in at least in the future this device or this system can be altered in a way to become a wearable device and therefore i can see a potential application and what usually doctors prescribe as a 24-hour monitor for some patients to discover and find out if they have a chronic cardiac disease rather than relying on measurements made in the clinic so they deploy the system with the patient to the house and they leave it with them for 24 hours to record all ecg or cardiac behavior of the patient if you can consider storing the data on the mobile phone as well instead of relying on storing it on the cloud maybe it will have a potential application and diagnosing certain diseases in the future rather than focusing on emergency situations only and i can see it has great potentials in that area thank you this is actually a very nice idea and i think it's very easy to extend the system to do that so just keep a local copy and then it also helps for example when uh when again when the internet is disconnected then the data is stored temporarily on on the mobile phone and then it's transferred to the cloud once connection is restored i think this is an excellent idea it will be a cheap thing and readily available for everyone because everyone now has a smartphone and a doctors and health system will benefit a lot from that yeah excellent great so we move on to the last paper today's session entitled the design and implementation of monitoring and control system for poultry farm the paper is co-authored by doctor hazardino mr muhammad abu qasim mr said aburus and dr muhammad in and our presenter for today is dr rezab needless to mention all of his achievements and remarkable career i would like to say a few words about dr rice he received his bsc in a degree in electrical engineering from beers university and the master's degree in electrical engineering from oklahoma state university back in 2003 and his phd in electrical engineering in 2013 from the university of zegen in germany he is currently an assistant professor and head of scientific research department at palestine technical college he co-authored and authored more than 40 scientific papers in journals and international conferences his main research interests are in the sensors inertial navigation systems and control systems mobile robotics sensor fusion and applied estimation theory pretty diverse and interesting research interest is the recipient of fulbright and that scholarship he is the pi and coordinator of several european erasmus plus projects and last but not least i'm pretty sure you all know that he is the founder of the ieee international conference of promising electronic technologies since 2017 and he's been running the show the interesting show since that time until today's conference uh without any further ado uh i'm very honored to present dr eyes to talk about his research work thank you a lot dr ahmad for this very nice introduction and it's well done so i just want to maybe to add a note here this work also includes three more authors but maybe this was the old version so it's this work is interesting because it combines the academic work with professional work it's not only just a model or a simulation rather it contains real implementation as it's clear in the title so this this work combines academic work and industrial work of real monetary farm let me start with giving the content i will start with introduction problem statement objectives methodology system description and end with results introduction the welter products in the gaza strip considered as one of the highest nutritional value products and the demand for the chicken meat is constantly increasing it's clear because the population is increasing we are now exceeding two millions in the gaza strip according to statistics in the year 2018 there are more than 1 500 economic farms for raising poultry the number might seem to be big but it's not the case because we at the gaza strip consume monthly from 1.7 million to 2 million a chicken monthly so this number might be reasonable having 1500 economic farms in the gaza strip only for raising and also 284 farms for producing table eggs mostly the problem here are primitive designs of anti-classical ones so they are manual operating manual operating here the problem statement poultry farmers face many problems and most of the problems come from unexpected weather variation over the year or we call it weather fluctuations which might cause diseases such as influenza and newcastle to improve watery farms performance we develop a monitoring and control system for the classical military farms let me try to hide this here to improve them in their winter conditions for feeding and also for the weather objective of this work there are three main objectives of this work first surveying existing literature for automation of cultural farms with focus on those which are plc operated or microcontroller-based second we will analyze farmers needs at military farms based on a survey and determine the technical requirements of an automated monitoring and control system of the military firms in gaza the third objective is to design and implement an automated real world terry farm and compare its growth rate results with a classical voltaire farm and verifying the developed contract and monitoring algorithms in fact i in this work with my co-authors surveyed a relatively large number of the of the farms and i can summarize it as follows bnc is used to automate the feed and water in one of the war works which are available in the paper team richer humidity and other control and a low-cost manure collection system is implemented in that paper one of the early approaches of using internet suggested the use of mail system some approaches describe wireless sensor network combined with gbrs to control temperature water level smoke gas and food dispensing usually they use arduino and in this case they use a raspberry pi to control and monitor all the data interestingly they found that production can be increased by reducing mortality rate and it can be accelerated to reach a larger weight around maybe two kilograms in shorter time there are also an iot based system other implementation of low scale water farms are done after simulation other control on focus on controlling gases light humidity temperature and most works they use arduino for controlling i guess it's just a matter of developing something like a proof of concept which is different from our focus our mythology relies on monitoring and operating the voltaire farm we first want to diagnose the problems faced by alter farmers and identify their needs based on a questionnaire distributed to 30 farms based on the analysis of that questionnaire we can decide on needed sensors and activators to monitor and control laboratory firm sensor data can be displayed to the user let me here show some of the survey results climatic variation and the spread of harmful gases was one of the problems first other is the having a high mortality rate it's around 14 percent 13.95 an average and there is a spread of many diseases among inside the farm such as influenza cumbro and newcastle disease here we can show uh this results for example heating the farm some use 20 uh 25 percent use wood 37 use gas 25 use electricity and around maybe 13 percent they do not use any kind of heating in the farm and also maybe for lighting system some let's say 70 percent use day and night and 30 percent use only night lighting system identifying needed automated factor let's say here answer yes or no we ask the farmers do you want the following sensor uh do you want monitoring uh 24-hour 65 percent answer
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