Aplikasi pengenalan wajah sebagian besar berorientasi pada penguatan sistem keamanan dan pemantauan. Aplikasi-aplikasi tersebut banyak dikembangkan akibat adanya kajian penguatan ketepatan pengenalan wajah yang dikembangkan terus-menerus oleh peneliti. Variasi fitur wajah setiap orang yang kompleks dan perubahannya dari waktu ke waktu, bahkan dalam waktu yang singkat menjadikan optimalisasi ketepatan pengenalannya semakin rumit. Studi ini bertujuan untuk meningkatkan performa metode Viola-Jones pada target yang bergerak dengan integrasi algoritma tracking. Algoritma tracking yang diintegrasikan adalah algoritma Continuously Adaptive Mean Shift (Camshift). Algoritma ini merupakan pengembangan dari algoritma Mean Shift yang secara terus menerus melakukan adaptasi atau penyesuaian terhadap distribusi probabilitas warna yang selalu berubah tiap pergantian frame dari sebuah sequence video. Integrasi tracking dengan Viola-Jones signifikan meningkatkan ketepatan pengenalan wajah dibandingkan tanpa tracking yaitu sebesar 96%.
Manual system vehicle parking makes finding vacant parking lots difficult, so it has to check directly to the vacant space. If many people do parking, then the time needed for it is very much or requires many people to handle it. This research develops a real-time parking system to detect parking. The system is designed using the HSV color segmentation method in determining the background image. In addition, the detection process uses the background subtraction method. Applying these two methods requires image preprocessing using several methods such as grayscaling, blurring (low-pass filter). In addition, it is followed by a thresholding and filtering process to get the best image in the detection process. In the process, there is a determination of the ROI to determine the focus area of the object identified as empty parking. The parking detection process produces the best average accuracy of 95.76%. The minimum threshold value of 255 pixels is 0.4. This value is the best value from 33 test data in several criteria, such as the time of capture, composition and color of the vehicle, the shape of the shadow of the object’s environment, and the intensity of light. This parking detection system can be implemented in real-time to determine the position of an empty place.
Water is a basic need for humans and other living things. Various sources of water on this earth has formed a system of close interaction with the components of living things in it. Over the years, water resources have changed in terms of both quality and quantity. This can be due to population growth in addition to the natural changes in nature. The more narrow field of water absorption followed by high water consumption causes the supply of ground water reserves can be threatened. So, we need a mapping and ground water recharge calculations to assist in the monitoring of groundwater reserves.The method used in this research is the Water Balance (keseimbangan air)method. This method is based on any incoming rain water will be equal to the output evapotranspiration and runoff hereinafter this method is applied in the application. Factors affecting groundwater recharge the water balance method is precipitation, evapotranspiration and run off. Information og groundwater recharge is also displayed on the map using Google Map function are related to the database system to produce informative mapsCalculation of groundwater recharge is applied to the daily rainfall data input into the application which then included in the water balance equation method so it can be easy to determine the value of groundwater recharge. Groundwater recharge information can be displayed in the form of mapping, making them easier to understand visually.Based on testing, the highest recharge results of this research on the Kemput station is 1119,5 mm/year with rainfall of 2750 mm/year. Seyegan and Bronggang station is 1026,25 mm/year with rainfall of 2625 mm/year. Angin-angin and Prumpung station is 933 mm/year with rainfall of 2500 mm/year. Beran and Gemawang station is 839.5 mm/year with rainfall of 2375 mm/year. Plataran station is 808.42 mm/year with rainfall of 2333 mm/year. Godean station is 699.5 mm/year with rainfall of 2187 mm/year and the lowest at Tirto Tanjungand Santan stastion 560 mm / year with rainfall of 2000 mm / year.
Sign Language is a language which prioritizes manual communication, body language and lip movement for communication. People who usesign language for communication aredeaf and mute people. Sign language in Indonesia is Sistem Isyarat Bahasa Indonesia (SIBI) and Bahasa Isyarat Indonesia (BISINDO). BISINDO has a unique clause pattern that isSOPA (Subject, Object, Predicate, Adverbial). The clause pattern of BISINDO is just for deaf and mute people who know and understand it. Because there are some different structures between Indonesian language and BISINDO, itis neededlearning media which can translate from Indonesian language to BISINDO. Finie State Automata (FSA) is a method which is able to recognize pattern sentence classification in Indonesian language. FSA method is NSA (Non-DetermisticFinie State Automata) that is otomata with characteristics as a state. NFA is used to give introducing structure pattern sentence in Indonesian language. Sentence pattern which is produced from NFA produces eight sentences pattern which are arranged as requisites of BISINDO translation. The result of research which is experimented by sign language researchersas many as 90% can translate well and appropriate with BISINDO sentence pattern, 10% explain that it is not appropriate with translation of sentence pattern and sign language model. Based on the data, it can be known that media of BISINDO sign language learning based on web using method of translation automata can be used for learning media.
Purpose of the study: The purpose of this study is to empirically examine the factors that influence traditional fishermen in maintaining the resilience of marine areas in order to defend the country and examine the model of causality relationships that are formed as well as the influence of causality between these variables. Methodology: The study was conducted in the Depok coastal area, Bantul - Yogyakarta with traditional fishermen as the respondents who are members of the Mina Bahari Fishermen Cooperative. Hypothesis testing was based on Partial Least Square. Main Findings: This study found: (1) 15 reflexive indicator statements form 7 latent variables that directly to construct a hypothesis; (2) a state defence model is formed; (3) hypothesis testing model shows that the seven proposed hypotheses are accepted, namely: a) Knowledge of environmental security has a positive influence on attitudes towards environmental security; b) Attitudes towards environmental security and environmental influences have a negative influence on actions against security disturbances; c) Understanding the environment has a positive influence on environmental awareness; d) Environmental awareness, environmental influences, and actions against security disturbances have a positive influence on participation in the environment. Applications of this study: This study helps inform the stakeholders establish coastal resilience program by incorporating the fishermen in the coastal areas. Novelty: Few studies paid attention toward traditional fishermen to keep marine resilience in Indonesia.
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