Pub Date : 2020-01-01DOI: 10.1109/iCoMET48670.2020.9074149
M. Usman, Siraj Tanoli, Faizan Khan, Wasi-Ur-Rehman Khan, Syed Muhammad Umar, S. Ullah
In this paper, pattern reconfigurable two element patch antenna is presented at 0.6THz frequency. Both the patch elements are fed from the common feed line and each patch element is fed from each of the corner of feed line to achieve proper impedance matching for both the patch elements. Switches (PIN diodes) are used to control reconfigurable characteristics. The purpose of this work is to achieve pattern re-configurability at THz frequency by using patch antenna. The result shows that it can divert its pattern in two different directions i.e. 26° and -26° dependent on the configuration of switches. Directivity and gain of the proposed model is 7.1 dBi and 6.9 dB respectively with radiation efficiency of 97%. The antenna has a wider bandwidth of 54.6GHz.
{"title":"Pattern Reconfigurable Two Element Printed Patch Antenna for THz Wireless Applications","authors":"M. Usman, Siraj Tanoli, Faizan Khan, Wasi-Ur-Rehman Khan, Syed Muhammad Umar, S. Ullah","doi":"10.1109/iCoMET48670.2020.9074149","DOIUrl":"https://doi.org/10.1109/iCoMET48670.2020.9074149","url":null,"abstract":"In this paper, pattern reconfigurable two element patch antenna is presented at 0.6THz frequency. Both the patch elements are fed from the common feed line and each patch element is fed from each of the corner of feed line to achieve proper impedance matching for both the patch elements. Switches (PIN diodes) are used to control reconfigurable characteristics. The purpose of this work is to achieve pattern re-configurability at THz frequency by using patch antenna. The result shows that it can divert its pattern in two different directions i.e. 26° and -26° dependent on the configuration of switches. Directivity and gain of the proposed model is 7.1 dBi and 6.9 dB respectively with radiation efficiency of 97%. The antenna has a wider bandwidth of 54.6GHz.","PeriodicalId":431051,"journal":{"name":"2020 3rd International Conference on Computing, Mathematics and Engineering Technologies (iCoMET)","volume":"149 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122500343","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-01-01DOI: 10.1109/iCoMET48670.2020.9074083
Fatima Bashir, Dr. Sohaib Ahmed, M. Marouf
Flipped Classroom model is one of the most effective and influential approaches that follow a student-centered approach. It may enhance students’ learning skills and creates a motivational level by conducting learning activities in pre-class and post-class sessions. The main purpose of this research is to demonstrate how a combined, teaching and machine learning approach can be useful in evaluating student learning outcomes by analyzing their learning performance. Furthermore, this can help the instructor to counsel students whose performance is lagging during the semester. To perform predictive analysis and classification, we have implemented linear regression and decision tree classifier that helps the instructor to predict and classify students learning outcomes based on their overall performance before final exams.
{"title":"An Exploratory Study of Students’ Learning Performance In Flipped Classroom Using Decision Tree and Regression","authors":"Fatima Bashir, Dr. Sohaib Ahmed, M. Marouf","doi":"10.1109/iCoMET48670.2020.9074083","DOIUrl":"https://doi.org/10.1109/iCoMET48670.2020.9074083","url":null,"abstract":"Flipped Classroom model is one of the most effective and influential approaches that follow a student-centered approach. It may enhance students’ learning skills and creates a motivational level by conducting learning activities in pre-class and post-class sessions. The main purpose of this research is to demonstrate how a combined, teaching and machine learning approach can be useful in evaluating student learning outcomes by analyzing their learning performance. Furthermore, this can help the instructor to counsel students whose performance is lagging during the semester. To perform predictive analysis and classification, we have implemented linear regression and decision tree classifier that helps the instructor to predict and classify students learning outcomes based on their overall performance before final exams.","PeriodicalId":431051,"journal":{"name":"2020 3rd International Conference on Computing, Mathematics and Engineering Technologies (iCoMET)","volume":"195 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121130375","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-01-01DOI: 10.1109/iCoMET48670.2020.9073863
Qasim Naseer, A. Moeed, Junaid Imtiaz, Muhammad H.D. Khan
For easy functioning, cognitive radio networks (CRNs) are equipped with centralized center also known as decision making controller (DMC). The DMC handles the control and data flow from respective nodes to their destination. The performance of CRN is largely dependent on the control and data channel powers use to broadcast communicate over the network consisting of a DMC, a Cognitive User Equipment (CUE) and a licensed user equipment (LUE). Generalized Area Spectral Efficiency (GASE) acts as a performance evaluation metric for various communication networks. This paper focusses on developing an analytical result in terms of GASE and allowable collision probability for a CRN. The analytical analysis is derived using Lame Curve based on distances between DMC-CUE and CUE-LUE. Simulation result shows CRN performance based on GASE metrics for varying parameters.
{"title":"Generalized Area Spectral Efficiency for Cognitive Radio Network using Lame Curve","authors":"Qasim Naseer, A. Moeed, Junaid Imtiaz, Muhammad H.D. Khan","doi":"10.1109/iCoMET48670.2020.9073863","DOIUrl":"https://doi.org/10.1109/iCoMET48670.2020.9073863","url":null,"abstract":"For easy functioning, cognitive radio networks (CRNs) are equipped with centralized center also known as decision making controller (DMC). The DMC handles the control and data flow from respective nodes to their destination. The performance of CRN is largely dependent on the control and data channel powers use to broadcast communicate over the network consisting of a DMC, a Cognitive User Equipment (CUE) and a licensed user equipment (LUE). Generalized Area Spectral Efficiency (GASE) acts as a performance evaluation metric for various communication networks. This paper focusses on developing an analytical result in terms of GASE and allowable collision probability for a CRN. The analytical analysis is derived using Lame Curve based on distances between DMC-CUE and CUE-LUE. Simulation result shows CRN performance based on GASE metrics for varying parameters.","PeriodicalId":431051,"journal":{"name":"2020 3rd International Conference on Computing, Mathematics and Engineering Technologies (iCoMET)","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128857979","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-01-01DOI: 10.1109/iCoMET48670.2020.9073921
Liu Dunnan, Fazal Hussain Awan, Usama Abrar, A. Saleem, J. Yang, Shafaat Ali
Energy shortage in Pakistan from last ten-years encourages small and big industries to construct their own Power-plant. These plants range from 1MW to 20MW. The power plant has different departments to handle engineering, maintenance, operation and related issues. Human resource (HR) department has the presence to efficiently handle man-power. This academic work takes a look at how human resource (HR) practices fix people working in power plants and decrease employee embeddedness. Indeed, we inquired into the revolving repercussion of the organizational appointment embedded in an association between human resource (HR), and a member of staff revenue objective. The assumptions are experimented via data from 200 respondents from newly constructed power plants in Pakistan. As forecasted, performance appraisal and organizational rewards decreased turnover intentions. Employee development activities increased employees’ perceptions with greater turnover intentions. The results suggest that organizations hoping to use HR practices to deter turnover may experience the greatest success by using performance management and reward systems to increase perceptions of organizational fit.
{"title":"Newly Constructed Power Plants in Pakistan along-with HR Practices","authors":"Liu Dunnan, Fazal Hussain Awan, Usama Abrar, A. Saleem, J. Yang, Shafaat Ali","doi":"10.1109/iCoMET48670.2020.9073921","DOIUrl":"https://doi.org/10.1109/iCoMET48670.2020.9073921","url":null,"abstract":"Energy shortage in Pakistan from last ten-years encourages small and big industries to construct their own Power-plant. These plants range from 1MW to 20MW. The power plant has different departments to handle engineering, maintenance, operation and related issues. Human resource (HR) department has the presence to efficiently handle man-power. This academic work takes a look at how human resource (HR) practices fix people working in power plants and decrease employee embeddedness. Indeed, we inquired into the revolving repercussion of the organizational appointment embedded in an association between human resource (HR), and a member of staff revenue objective. The assumptions are experimented via data from 200 respondents from newly constructed power plants in Pakistan. As forecasted, performance appraisal and organizational rewards decreased turnover intentions. Employee development activities increased employees’ perceptions with greater turnover intentions. The results suggest that organizations hoping to use HR practices to deter turnover may experience the greatest success by using performance management and reward systems to increase perceptions of organizational fit.","PeriodicalId":431051,"journal":{"name":"2020 3rd International Conference on Computing, Mathematics and Engineering Technologies (iCoMET)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131607443","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-01-01DOI: 10.1109/iCoMET48670.2020.9074057
Liu Dunnan, Fazal Hussain Awan, Nasif Raza Jaffri, Shoaib Ahmad
Pakistan is a big country with diverse nature of land ranging from mountain, deserts to plain lands. There are eleven distribution companies to cover electrical power distribution over 100Million consumers. The field work of electrical distribution is sometimes life threating and tough. The consumers have their first interaction with distribution staff. A satisfied distribution staff led towards satisfied customer. The main objective of this research work is to look for the influence of various reward types on several variables of a company’s outcomes. These include worker outcomes and performance, like satisfaction from their jobs and turnover intention. Only remunerations alone do not encourage the workers’ attitudes and responses but their approach towards the remunerations regarding the fulfillment of their outcomes from the persuaded job. Employees manage their attitudes or responses, which might be positive or negative, depending on their fulfilment of remunerations. In the context of equity theory, if a worker thinks the outcome of his/her input to output percentage lacks in contrast to his/her colleagues, it might develop a sense of non-fulfilment and hence might lose their output efficacy.
{"title":"Role of Reward satisfaction on Employee Outcome: A case of power distribution sector of Pakistan","authors":"Liu Dunnan, Fazal Hussain Awan, Nasif Raza Jaffri, Shoaib Ahmad","doi":"10.1109/iCoMET48670.2020.9074057","DOIUrl":"https://doi.org/10.1109/iCoMET48670.2020.9074057","url":null,"abstract":"Pakistan is a big country with diverse nature of land ranging from mountain, deserts to plain lands. There are eleven distribution companies to cover electrical power distribution over 100Million consumers. The field work of electrical distribution is sometimes life threating and tough. The consumers have their first interaction with distribution staff. A satisfied distribution staff led towards satisfied customer. The main objective of this research work is to look for the influence of various reward types on several variables of a company’s outcomes. These include worker outcomes and performance, like satisfaction from their jobs and turnover intention. Only remunerations alone do not encourage the workers’ attitudes and responses but their approach towards the remunerations regarding the fulfillment of their outcomes from the persuaded job. Employees manage their attitudes or responses, which might be positive or negative, depending on their fulfilment of remunerations. In the context of equity theory, if a worker thinks the outcome of his/her input to output percentage lacks in contrast to his/her colleagues, it might develop a sense of non-fulfilment and hence might lose their output efficacy.","PeriodicalId":431051,"journal":{"name":"2020 3rd International Conference on Computing, Mathematics and Engineering Technologies (iCoMET)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130890493","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-01-01DOI: 10.1109/iCoMET48670.2020.9073816
A. Nazir, Ahsan Wajahat, F. Akhtar, Faheem Ullah, Sirajuddin Qureshi, Sher Afghan Malik, A. Shakeel
The consumption of energy in buildings has risen abruptly over the last decades. Due to less energy-efficient buildings, most of the energy is being thrown in our surroundings thus making an adverse effect on our environment. In this paper, heating and cooling loads of private or non-commercial buildings are covered. By implementing the proposed technique, which is a blend of cluster analysis and Artificial Neural Network (ANN), evaluation and prediction are performed. The estimation of heating and cooling loads of private or non-commercial buildings are performed using eight input variables in the ANN-based model. The details of variables are as follows, a relative surface area, total height, compactness, roof area, glazing area distribution, orientation, glazing area, and wall area. K-means clustering methodology is then used to cluster buildings on the basis of output variables. Stand on simulated literature data, evaluation of 768 different private or non-commercial buildings is done using the above-suggested method. Research results depicted that depending upon input variables, the above-suggested approach can efficiently evaluate heating and cooling load that is very much close to real test results.
{"title":"Evaluating Energy Efficiency of Buildings using Artificial Neural Networks and K-means Clustering Techniques","authors":"A. Nazir, Ahsan Wajahat, F. Akhtar, Faheem Ullah, Sirajuddin Qureshi, Sher Afghan Malik, A. Shakeel","doi":"10.1109/iCoMET48670.2020.9073816","DOIUrl":"https://doi.org/10.1109/iCoMET48670.2020.9073816","url":null,"abstract":"The consumption of energy in buildings has risen abruptly over the last decades. Due to less energy-efficient buildings, most of the energy is being thrown in our surroundings thus making an adverse effect on our environment. In this paper, heating and cooling loads of private or non-commercial buildings are covered. By implementing the proposed technique, which is a blend of cluster analysis and Artificial Neural Network (ANN), evaluation and prediction are performed. The estimation of heating and cooling loads of private or non-commercial buildings are performed using eight input variables in the ANN-based model. The details of variables are as follows, a relative surface area, total height, compactness, roof area, glazing area distribution, orientation, glazing area, and wall area. K-means clustering methodology is then used to cluster buildings on the basis of output variables. Stand on simulated literature data, evaluation of 768 different private or non-commercial buildings is done using the above-suggested method. Research results depicted that depending upon input variables, the above-suggested approach can efficiently evaluate heating and cooling load that is very much close to real test results.","PeriodicalId":431051,"journal":{"name":"2020 3rd International Conference on Computing, Mathematics and Engineering Technologies (iCoMET)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133769119","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-01-01DOI: 10.1109/iCoMET48670.2020.9073939
U. Khan, Zaheer Alam, Waleed Ahmad, Z. Khan, Rashid Khan, Z. Ullah
The unpredictable and stochastic speed of the wind makes the entire wind energy conversion system (WECS) highly nonlinear. In such situations, the controller aim is to maximize the extracted power (MP). At first stage, the dynamic model of the permanent magnet synchronous generator (PMSG) is developed and then the model is converted to Bronwsky form. Consequently, the overall system is subdivided into two subsystems i.e., a second order visible dynamic system and a first order internal dynamic system. The internal dynamics are proved stable i.e., the system under study is minimum phase. Now, the main task is that the output of the visible dynamic system should track a varying profile of the wind speed. This paper presents the nonlinear backstepping based maximum power point tracking (MPPT) algorithm to ensure the MP extraction from variable-speed (fixed pitch) WECS. MATLAB/Simulink tool is used for testing the proposed controller under variable wind speed profile. The simulation results validate the robustness of the proposed control scheme. Furthermore, backstepping is compared with feedback linearization (FL) control that clearly outshines our proposed strategy.
{"title":"Backstepping based MPPT Control Technique for Permanent Magnet Synchronous Generator Wind Energy Conversion System","authors":"U. Khan, Zaheer Alam, Waleed Ahmad, Z. Khan, Rashid Khan, Z. Ullah","doi":"10.1109/iCoMET48670.2020.9073939","DOIUrl":"https://doi.org/10.1109/iCoMET48670.2020.9073939","url":null,"abstract":"The unpredictable and stochastic speed of the wind makes the entire wind energy conversion system (WECS) highly nonlinear. In such situations, the controller aim is to maximize the extracted power (MP). At first stage, the dynamic model of the permanent magnet synchronous generator (PMSG) is developed and then the model is converted to Bronwsky form. Consequently, the overall system is subdivided into two subsystems i.e., a second order visible dynamic system and a first order internal dynamic system. The internal dynamics are proved stable i.e., the system under study is minimum phase. Now, the main task is that the output of the visible dynamic system should track a varying profile of the wind speed. This paper presents the nonlinear backstepping based maximum power point tracking (MPPT) algorithm to ensure the MP extraction from variable-speed (fixed pitch) WECS. MATLAB/Simulink tool is used for testing the proposed controller under variable wind speed profile. The simulation results validate the robustness of the proposed control scheme. Furthermore, backstepping is compared with feedback linearization (FL) control that clearly outshines our proposed strategy.","PeriodicalId":431051,"journal":{"name":"2020 3rd International Conference on Computing, Mathematics and Engineering Technologies (iCoMET)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134316518","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-01-01DOI: 10.1109/iCoMET48670.2020.9073886
Arslan Hameed, Haris Sheh Zad, A. Ulasyar, Jibran Hashim
This article proposes a maximum power point tracking (MPPT) algorithm based on perturb & observe (P&O) method and sliding mode control (SMC). For efficient control of the PV system, the accurate and efficient model of the system is required. The major problem has been occurred due to the nonlinear behavior of the I-V characteristic curve in PV systems. This nonlinear behavior is due to varying irradiance and temperature. In this article, the SMC based P&O MPPT technique is utilized to track the maximum power for the PV system. A two-step sliding mode control is designed. Firstly, a sliding surface is designed and secondly, discontinues control law is designed. The P&O algorithm is a simple, easy and less complex method to use with SMC. The smooth highest powerpoint is attained at different irradiances in less time. The System includes PV panel, SMC, MPPT P&O method and dc/dc boost converter. The efficiency of the proposed method can be determined by simulation. The results have been checked at different temperatures and different irradiances in the existence of load. The simulation results confirm the proposed method better efficiency.
{"title":"Robust Sliding Mode Control based Maximum Power Point Tracking of Solar Photovoltaic System","authors":"Arslan Hameed, Haris Sheh Zad, A. Ulasyar, Jibran Hashim","doi":"10.1109/iCoMET48670.2020.9073886","DOIUrl":"https://doi.org/10.1109/iCoMET48670.2020.9073886","url":null,"abstract":"This article proposes a maximum power point tracking (MPPT) algorithm based on perturb & observe (P&O) method and sliding mode control (SMC). For efficient control of the PV system, the accurate and efficient model of the system is required. The major problem has been occurred due to the nonlinear behavior of the I-V characteristic curve in PV systems. This nonlinear behavior is due to varying irradiance and temperature. In this article, the SMC based P&O MPPT technique is utilized to track the maximum power for the PV system. A two-step sliding mode control is designed. Firstly, a sliding surface is designed and secondly, discontinues control law is designed. The P&O algorithm is a simple, easy and less complex method to use with SMC. The smooth highest powerpoint is attained at different irradiances in less time. The System includes PV panel, SMC, MPPT P&O method and dc/dc boost converter. The efficiency of the proposed method can be determined by simulation. The results have been checked at different temperatures and different irradiances in the existence of load. The simulation results confirm the proposed method better efficiency.","PeriodicalId":431051,"journal":{"name":"2020 3rd International Conference on Computing, Mathematics and Engineering Technologies (iCoMET)","volume":"199 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127316131","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-01-01DOI: 10.1109/iCoMET48670.2020.9073798
Muhammad Muzaffar Iqbal, Intisar Ali Sajjad, Ab Manan, M. Waseem, Ammad Ali, Amir Sohail
Electricity shortages are severe for developing countries like Pakistan as a result of massive population growth. To solve this problem Renewable energy resources (RER’s) and energy storage systems (ESS) can play a considerable role. In this paper, we have analyzed the effects on the operational cost of residential electricity consumers by installing the rooftop photovoltaic (PV) and ESS on their smart homes. Additionally, the home to grid (H2G) energy exchange framework is also included to explore its benefits on energy management. Home Energy Management (HEM) problem is formulated with the integration of PV and ESS by considering user preferences and other system boundaries. A Grey wolf optimization (GWO) algorithm is used to find out optimal scheduling of appliances. The findings of the simulations indicate that the proposed solution can improve the performance of the home electricity scheduling, reduced the effect of uncertainty on the system and decrease the overall energy consumption cost.
{"title":"Towards an Optimal Residential Home Energy Management in Presence of PV Generation, Energy Storage and Home to Grid Energy Exchange Framework","authors":"Muhammad Muzaffar Iqbal, Intisar Ali Sajjad, Ab Manan, M. Waseem, Ammad Ali, Amir Sohail","doi":"10.1109/iCoMET48670.2020.9073798","DOIUrl":"https://doi.org/10.1109/iCoMET48670.2020.9073798","url":null,"abstract":"Electricity shortages are severe for developing countries like Pakistan as a result of massive population growth. To solve this problem Renewable energy resources (RER’s) and energy storage systems (ESS) can play a considerable role. In this paper, we have analyzed the effects on the operational cost of residential electricity consumers by installing the rooftop photovoltaic (PV) and ESS on their smart homes. Additionally, the home to grid (H2G) energy exchange framework is also included to explore its benefits on energy management. Home Energy Management (HEM) problem is formulated with the integration of PV and ESS by considering user preferences and other system boundaries. A Grey wolf optimization (GWO) algorithm is used to find out optimal scheduling of appliances. The findings of the simulations indicate that the proposed solution can improve the performance of the home electricity scheduling, reduced the effect of uncertainty on the system and decrease the overall energy consumption cost.","PeriodicalId":431051,"journal":{"name":"2020 3rd International Conference on Computing, Mathematics and Engineering Technologies (iCoMET)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122103156","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-01-01DOI: 10.1109/iCoMET48670.2020.9074108
S. Memon, Abdul Rauf Memon, A. Memon
Internet of things (IoT) is an emerging field which is increasingly becoming influential instrument in daily life. It endeavors to provide comfort and easiness in doing day to day activities in life. Moreover, it has increased the effectiveness of tasks by reducing the time span of the activity and augmenting its accuracy. It is being done with the help of internet service. IoT connects the activities with internet where it becomes easier to watch and monitor the process and the progress of the activity. Internet, the most important phenomenon of the 21st century, has become a common norm in the society. Thus, IoT is making use of this dynamic feature of human innovation to add more innovative techniques to human lives. Besides all these innovation, human race has been subject to daunting and detrimental challenges which are putting its survival at risk. The problem of accumulating garbage is the most important one. The gigantic amount of waste material is also a big threat to climate of the earth. It is sine qua non to have a special mechanism to deal with the hectic task of collecting and transporting garbage in cities, however, recycling is another dimension of this huge problem. The focus of this research is to come up with a remedy for the problem of ever-increasing garbage. Here, an IoT based costeffective system has been developed. It has the capability to monitor the garbage in real time by using smart technology with the help of WeMos and Ultrasonic sensors. This system makes use of electronic devices and ThingSpeak platform to minimize the expenditures and time duration in the collection and transportation of the waste. This concept is unique in itself as it makes garbage bins able to communicate their status, periodically, to the authorities. This data can be seen on internet and it is not bounded by any specific location as internet is a global phenomenon and so do the proposed system.
物联网(Internet of things, IoT)是一个新兴领域，正日益成为影响人们日常生活的重要工具。它努力在日常生活活动中提供舒适和舒适。此外，它还通过减少活动的时间跨度和提高其准确性来提高任务的有效性。这是在互联网服务的帮助下完成的。物联网将活动与互联网连接起来，使其更容易观察和监控活动的过程和进展。互联网作为21世纪最重要的现象，已经成为社会的普遍规范。因此，物联网正在利用人类创新的这种动态特征，为人类生活增添更多创新技术。除了这些创新之外，人类也面临着严峻而有害的挑战，威胁着人类的生存。堆积垃圾的问题是最重要的一个。大量的废弃物对地球的气候也是一个巨大的威胁。有一个特殊的机制来处理城市垃圾收集和运输的繁重任务是必要的，然而，回收是这个巨大问题的另一个方面。这项研究的重点是为日益增加的垃圾问题提出解决办法。在这里，基于物联网的成本效益系统已经开发出来。它利用WeMos和超声波传感器的智能技术，可以实时监控垃圾。该系统利用电子设备和ThingSpeak平台，最大限度地减少废物收集和运输的费用和时间。这个概念本身是独一无二的，因为它使垃圾箱能够定期向当局通报其状态。这些数据可以在互联网上看到，它不受任何特定位置的限制，因为互联网是一种全球现象，所提出的系统也是如此。
{"title":"Smart Garbage Bin: An IoT Platform for Smart Waste Management System in Pakistan","authors":"S. Memon, Abdul Rauf Memon, A. Memon","doi":"10.1109/iCoMET48670.2020.9074108","DOIUrl":"https://doi.org/10.1109/iCoMET48670.2020.9074108","url":null,"abstract":"Internet of things (IoT) is an emerging field which is increasingly becoming influential instrument in daily life. It endeavors to provide comfort and easiness in doing day to day activities in life. Moreover, it has increased the effectiveness of tasks by reducing the time span of the activity and augmenting its accuracy. It is being done with the help of internet service. IoT connects the activities with internet where it becomes easier to watch and monitor the process and the progress of the activity. Internet, the most important phenomenon of the 21st century, has become a common norm in the society. Thus, IoT is making use of this dynamic feature of human innovation to add more innovative techniques to human lives. Besides all these innovation, human race has been subject to daunting and detrimental challenges which are putting its survival at risk. The problem of accumulating garbage is the most important one. The gigantic amount of waste material is also a big threat to climate of the earth. It is sine qua non to have a special mechanism to deal with the hectic task of collecting and transporting garbage in cities, however, recycling is another dimension of this huge problem. The focus of this research is to come up with a remedy for the problem of ever-increasing garbage. Here, an IoT based costeffective system has been developed. It has the capability to monitor the garbage in real time by using smart technology with the help of WeMos and Ultrasonic sensors. This system makes use of electronic devices and ThingSpeak platform to minimize the expenditures and time duration in the collection and transportation of the waste. This concept is unique in itself as it makes garbage bins able to communicate their status, periodically, to the authorities. This data can be seen on internet and it is not bounded by any specific location as internet is a global phenomenon and so do the proposed system.","PeriodicalId":431051,"journal":{"name":"2020 3rd International Conference on Computing, Mathematics and Engineering Technologies (iCoMET)","volume":"94 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115501174","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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