Sukkur IBA Journal of Emerging Technologies最新文献

{"title":"Machine Learning Based Compiler Optimization Technique","authors":"Salwa Iqbal, Mr.Kashif Sheikh","doi":"10.30537/sjet.v7i1.1428","DOIUrl":"https://doi.org/10.30537/sjet.v7i1.1428","url":null,"abstract":"Since the last decade to upcoming era the need of machine learning based compilation approaches has become indispensable for every aspect of growing technology especially artificial intelligence and network computing areas. These approaches are used to enhance the result quality by their improved performance as well as handles compiler optimization problems namely optimization selection and phase ordering. It has enthused from a vague research place in middle of the road movement. Wealth of present compiler optimization techniques leads to finding the best heuristic parameters to tune each optimization tactic using machine learning. In this research paper, we highlighted the term machine learning and compiler along with relationship between compiler optimization and machine learning with the identity of the concept of models, training, and approaches.","PeriodicalId":369308,"journal":{"name":"Sukkur IBA Journal of Emerging Technologies","volume":"94 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141664233","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}

{"title":"Energy Efficient strategy for Wireless Sensor Networks lifetime endurance using Genetic Algorithm","authors":"Shauban Ali Solangi","doi":"10.30537/sjet.v7i1.1430","DOIUrl":"https://doi.org/10.30537/sjet.v7i1.1430","url":null,"abstract":"This study propose an optimized routing scheme for multiple hops Wireless Sensor Networks to enhance the lifetime of the network. Since the wireless sensor networks work as application-centric having the capabilities of data gathering and transmission to the base station. Therefore, a significant amount of sensor networks` energy spends during such operation of data collection and transmission if the route is not optimized. So, a meta-heuristic genetic algorithm plays a vital role in finding the optimized route. We will modify the genetic algorithm for better optimization results so that the best route can be selected among all possible routes and will save the wireless sensor networks` energy. All information is routed towards the sink via intermediate neighbor nodes, which only relay the data without performing any computation or operation. The genetic algorithm determines the route information to all nodes and sinks. Then, the data takes the most optimal route for data transmission. Thus, this study proved a considerably saved extra waste of energy.","PeriodicalId":369308,"journal":{"name":"Sukkur IBA Journal of Emerging Technologies","volume":"81 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141664399","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}

{"title":"An Energy Management Approach for Isolated Power System using Low Load Diesel","authors":"Saira Javed, Safdar Raza, Mughees Riaz","doi":"10.30537/sjet.v6i1.1268","DOIUrl":"https://doi.org/10.30537/sjet.v6i1.1268","url":null,"abstract":"Renewable energy sources (RES) are well known sources for providing energy in distant regions. This is the reason that hybrid isolated power system (HIPS) is utilized which integrates solar energy and wind energy. Renewable energy (RE) relies on environmental conditions. The technologies such as batteries or diesel generator (DG) need to be employed to meet the load demand. Battery energy storage system (BESS) can diminish the limitation but this can add expense and intricacy to the system. DG is an excellent choice to meet load demand but it has certain limitations. Due to diesel load set point, excess RE generation is consumed via regulating devices such as dump load or BESS. As a result, systems designed for high RE penetration are now more complex, expensive, and wasteful. This study analyses low load diesel (LLD). It is a method for minimizing surplus generation hence decreasing system intricacy. It also reduces fuel utilization without causing the control architecture to become overly complicated hence reducing the need for BESS. It provides an alternate method for redefining diesel generation's low load capacity. This work provides an economic analysis of LLD including comparisons to traditional BESS applications. This analysis shows low operational cost of the system including LLD than BESS. Hence demonstrating that BESS can be replaced with LLD. The use of LLD also lowers fuel usage.  A power system model of HIPS is simulated using MATLAB/Simulink.","PeriodicalId":369308,"journal":{"name":"Sukkur IBA Journal of Emerging Technologies","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114684163","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}

{"title":"Food Recognition System: A New Approach Based on Wavelet-LSTM","authors":"Ghulam Hussain","doi":"10.30537/sjet.v6i1.1258","DOIUrl":"https://doi.org/10.30537/sjet.v6i1.1258","url":null,"abstract":"An automated system for analyzing daily dietary intake is essential for human well-being and healthcare. This work presents a novel wearable necklace embedded with a piezoelectric sensor and a microcontroller to monitor food ingestion of users. To effectively represent the food ingestion patterns, the sensor signal is dynamically segmented using a bidirectional search technique. Each segmented food intake pattern consists of a chewing sequence and a swallow peak. We exploit wavelet transform to decompose the complex food ingestion patterns, collected by the sensor, into frequency sub-bands at discrete scales. The frequency sub-bands are used as sequences to train long short-term memory (LSTM) for the recognition of 5 food categories. Our proposed recognition model based on wavelet-LSTM recognizes 5 food classes with an accuracy of 98.1% \u0000 ","PeriodicalId":369308,"journal":{"name":"Sukkur IBA Journal of Emerging Technologies","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128063291","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}

{"title":"Mobile Apps Development: Towards Incorporating Regional and National languages in Flutter App","authors":"Kamran Khan, Dr. Isma Farah Siddiqui, Salahuddin Saddar, Hina Hussain, Umair Ayaz, Sadaquat Ali Ruk","doi":"10.30537/sjet.v6i1.1192","DOIUrl":"https://doi.org/10.30537/sjet.v6i1.1192","url":null,"abstract":"As technology is spreading very fast across the world, people from different countries have started using portable devices like phones, tablets, or laptops. People belonging to different countries and cultures are using smartphones. Most smart apps are not available in multiple languages, users are bounded to use apps in the language in which the app is developed. Developing a multilingual app and taking input in multiple languages is still a headache for developers. This research aims to develop a multilingual keyboard package for flutter apps. By using this package developers can easily add a multilingual keyboard to their apps. For now, the package only supports English, Urdu, and Sindhi languages. Along with language keyboards, we have added some special characters and a numeric keyboard as well. The keyboard interface is highly customizable, developers can customize the keyboard interface as per their preferences, and they can change different properties of keyboards including, key text color, key background color, keyboard background color, and shadows. Developers can reduce end-user efforts by adding this keyboard package to their apps. End-users can interact with the app in their native language without any extra effort of downloading third-party keyboards. This package allows users to enter text in multiple languages in the same or different input fields. After the publication of this package, we conducted a survey, in which questions like the performance, accuracy, and interface of the keyboards have been asked of developers. In the survey, we asked for the developer's suggestions and feedback about keyboards, and other languages they want us to add to the package.","PeriodicalId":369308,"journal":{"name":"Sukkur IBA Journal of Emerging Technologies","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130100683","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}

{"title":"Power Quality Improvement and Harmonics Compensation Using Hybrid Filter","authors":"Muhammad Mudassar","doi":"10.30537/sjet.v6i1.1277","DOIUrl":"https://doi.org/10.30537/sjet.v6i1.1277","url":null,"abstract":"The need for electricity is expanding at an even faster rate in these modern times. In order for the electrical devices to function properly and effectively, a constant supply of high-quality power is required. The most common types of power quality reducing factors include noise, interruptions, variations in voltage and frequency, and so on. These factors all contribute to a decrease in the electrical devices' overall efficiency. Total harmonic distortion (THD) was made worse by the presence of non-linear loads. The existence of harmonics is the primary cause of the problems that lead to the breakdown of insulation, excess heating, and a shortened lifespan for various pieces of equipment. In addition to this, if there is a high THD in the electrical system, it may cause the energy meter to give inaccurate readings. An economic hybrid filter can be employed to reduce the losses caused by harmonics distortion, thereby providing a solution to those issues. This paper provides an in-depth look into the application of this filter for harmonic compensation. By performing simulations with the Simulink tool of MATLAB and validating the results using the experimental setup, it has been determined that using a filter can reduce the total harmonic distortion (THD) of the current by 40.09 percentage points, which will result in better power quality and energy conservation. The IEEE Standard 519-1992 was consulted as a reference when making this determination.","PeriodicalId":369308,"journal":{"name":"Sukkur IBA Journal of Emerging Technologies","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125269208","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}

{"title":"Harris’ Hawks Optimization-Tuned Density-based Clustering","authors":"Muhammad Shoaib Omar, S. Waqas, K. Talpur, Sumra Khan, Shakeel Ahmad","doi":"10.30537/sjet.v6i1.1305","DOIUrl":"https://doi.org/10.30537/sjet.v6i1.1305","url":null,"abstract":"Clustering is a machine learning technique that groups data samples based on similarity and identifies outliers with distinct features. Density-based clustering outperforms other methods because it can handle arbitrary shapes of clustering distributions. However, it has a limitation of requiring empirical values for the cluster center and the nominal distance between the cluster center and other data points. These values affect the accuracy and the number of clusters obtained by the algorithm. This paper proposes a solution to optimize these parameters using Harris’ hawks optimization (HHO), an efficient optimization technique that balances exploration and exploitation and avoids stagnation in later iterations. The proposed HHO-tuned density-based clustering achieves better performance as compared to other optimizers used in this work. This research also provides a reference for designing efficient clustering techniques for complex-shaped datasets.","PeriodicalId":369308,"journal":{"name":"Sukkur IBA Journal of Emerging Technologies","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132582421","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}

{"title":"Evaluation of Machine Learning based Network Attack Detection","authors":"Muhammad Awais Rajput, None Muhammad Umar, Adnan Ahmed, None Ali Raza Bhangwar, None Khadija Suhail Memon, None Misbah","doi":"10.30537/sjet.v5i2.1186","DOIUrl":"https://doi.org/10.30537/sjet.v5i2.1186","url":null,"abstract":"The growth in the internet and communication technologies has driven tremendous developments in various application areas such as smart cities, cloud computing, internet-of-things, e-banking, e-commerce and e-government. However, with the advancements in networking infrastructure, hacking tools and methodologies have been much evolved thereby enabling hackers to attempt newer and more complicated cyber-attacks. Consequently, cyber-security has now emerged as a vital research area to address security concerns. Traditional security mechanisms such as firewalls and anti-viruses are not enough to protect networks and accurately detect intrusions. An Intrusion Detection System (IDS) provides an additional layer of security that prevents networks against possible intrusions through continuous surveillance of the network traffic. Despite the effectiveness of IDS and enormous research being conducted on the very topic, IDS still poses challenges to accurately detect intrusions, novel cyber-attacks and reducing false positive rates. Recently, Machine Learning (ML) and Deep Learning (DL) techniques have been exploited to overcome the inherent deficiencies of IDS. Existing research has demonstrated that ML and DL have great potential to detect intrusions and classify cyber-attacks in an efficient manner. Based on their inherent learning capabilities, ML and DL-based techniques can effectively detect patterns (features) from the network traffic and predict the behavior (normal or abnormal activity) based on these patterns. This research work first presents the concepts of IDS, followed by a comprehensive review of the recent ML and DL-based schemes. Later, a performance analysis of various ML algorithms is presented on a publicly available dataset to weigh their strengths and weaknesses in terms of accuracy and training time among others. We mainly evaluate the most commonly used supervised learning algorithms including Decision Trees (DT), Random Forest (RF), Gradient Booster (GB) and Neural Networks (NNs).","PeriodicalId":369308,"journal":{"name":"Sukkur IBA Journal of Emerging Technologies","volume":"566 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135951542","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}

{"title":"Efficient Detection and Recognition of Traffic Lights for Autonomous Vehicles Using CNN","authors":"Tayyaba Sahar, Hayl Khadami, Muhammad Rauf","doi":"10.30537/sjet.v5i2.1181","DOIUrl":"https://doi.org/10.30537/sjet.v5i2.1181","url":null,"abstract":"Smart city infrastructure and Intelligent Transportation Systems (ITS) need modern traffic monitoring and driver assistance systems such as autonomous traffic signal detection. ITS is a dominant research area among several fields in the domain of artificial intelligence. Traffic signal detection is a key module of autonomous vehicles where accuracy and inference time are amongst the most significant parameters. In this regard, the aim of this study is to detect traffic signals focusing to enhance accuracy and real-time performance. The results and discussion enclose a comparative performance of a CNN-based algorithm YOLO V3 and a handcrafted technique that gives insight for enhanced detection and inference in day and night light. It is important to consider that real-world objects are associated with complex backgrounds, occlusion, climate conditions, and light exposure that deteriorate the performance of sensitive intelligent applications. This study provides a direction to propose a hybrid technique for TLD not only in the daytime but also in night light.","PeriodicalId":369308,"journal":{"name":"Sukkur IBA Journal of Emerging Technologies","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122386805","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}

{"title":"An Optimized Proportional Integral Derivative (PID) based Power System Stabilizer (PSS) for Damping of Active Power Oscillations","authors":"V. Bhan, A. Hashmani, A. H. Memon","doi":"10.30537/sjet.v5i2.1198","DOIUrl":"https://doi.org/10.30537/sjet.v5i2.1198","url":null,"abstract":"Rising load demand and possibilities of short interruptions either due to temporary faults or equipment switching may lead to a transient instability in terms of growing oscillations and eventually result into cascaded outages if not being damped properly and timely. To damp out such oscillations, the power system stabilizers (PSS) are invariably being installed to regulate the excitation of synchronous generators. In this research, a comparative analysis among the two design variants of PSS i.e., Lead Lag and PID  is performed by comparing the overshoot and settling time of generator active power after distrubance, to observe the effect of each on the system characteristics and nominal conditions. The results obtained show a better performance of PID based PSS having better overshoot response and reduced settling time for symmetrical as well as unsymmetrical faults.","PeriodicalId":369308,"journal":{"name":"Sukkur IBA Journal of Emerging Technologies","volume":"97 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127200137","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}