ICPET2020 Second Session

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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

2021-05-01

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