The focus of this paper is towards comparing the performance of two metaheuristic algorithms, namely Ant Colony and Hybrid Particle Swarm Optimization. The domain of enquiry in this paper is Test Case Selection, which...
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Now a days trading in stock market for the purpose of gaining huge profits is becoming more lucrative for people across the globe. Any attempts that are able to predict the financial markets productively and with prec...
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ISBN:
(纸本)9781538641200
Now a days trading in stock market for the purpose of gaining huge profits is becoming more lucrative for people across the globe. Any attempts that are able to predict the financial markets productively and with precision have always enthralled the curiosity and attention of economist, bankers and scientist. Stock market prediction can be defined as the process of determination of future value of the stocks of particular company or any other financial exchange. Precise predictions in this field are of great importance for a variety of reasons. Among all the reasons the one that stand out the most is the need for and investor to protect against all the potential risks and the opportunities for mediators and speculators to earn money and huge profits by trading indexes. Stock market can be defined as a place where the trading and issuing of shares occurs. The trade of the shares occurs mainly through stock exchanges in digital or in physical form. Data mining has its own significance in financial modeling because of its ability to reveal useful patterns and correlations. Data mining, can be defined as process that deals with the discovery of knowledge, data analysis along with full and semi-autonomous decision making in the field of computational intelligence. This very phenomenon of stock market prediction is gaining a lot of attention in recent times. This paper presents a system based on decision tree which is classified as c tree. This paper will be using the same model to predict the future trends of certain stocks based on the data from the past and their respective behavior.
作者：
Abhay BansalAmity University
Amity School of Engineering & Technology Department of Computer Science & Engineering Uttar Pradesh
The following topics are dealt with: data mining; cloud computing; learning (artificial intelligence); security of data; pattern classification; health care; social networking (online); Internet of Things; Internet; d...
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ISBN:
(纸本)9781538617205;9781538617199
The following topics are dealt with: data mining; cloud computing; learning (artificial intelligence); security of data; pattern classification; health care; social networking (online); Internet of Things; Internet; data analysis.
All the nutrients are necessary for any fruit for its full development and growth. But, due to some causes like-dry soils, waterlogging and other natural calamity factors can lead to deficiency disorder. So, there mus...
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ISBN:
(纸本)9781538669488
All the nutrients are necessary for any fruit for its full development and growth. But, due to some causes like-dry soils, waterlogging and other natural calamity factors can lead to deficiency disorder. So, there must be a system that could detect such deficiency and help in reducing manual intervention of detection and inspection. Hence, a different approach has been introduced in this paper depicting an application-based computer vision tool that deals with a comparative analysis of dual nutrient (Boron, Calcium) deficiency detection system for apply fruit. In order to provide an attractive communication between a user and program, a GUI (Graphical User Interface) has been modeled which has been executed with the help of MATLAB. The methodology of this paper mainly provides the user to detect the deficiency present in a fruit, that helps the user to discover the various use of image processing technique altogether and also decide the selective measures over the detected deficiency. The results show a very satisfactory performance of this tool and hence considered to be a flexible and robust technique by intuitive usage.
The utilization of technology only aims to be fast, precise, and accurate in each implementation and find a better solution at that time in several sectors. This study aims to identify the use of Global Positioning Te...
The utilization of technology only aims to be fast, precise, and accurate in each implementation and find a better solution at that time in several sectors. This study aims to identify the use of Global Positioning technology (GPS) technology to track the position of the motor sailing yachts, specifically with the features used on a device or smart-phone during a trip or expedition. This research uses a type of applied research to solve problems that are faced clearly, and the results can be used as a basis for solving corrective steps. The results found that GPS-technology on motor sailing yachts in 'Pelayaran Rakyat' maritime can receive coordinates point and then send these coordinates to the vessel-tracking systems to determine the position of the motor sailing yachts between users.
In the process of medication, it is a common practice to treat patients with saline for dehydration and other medical ailments to improve the health condition of the patients. When fed with saline continuous observati...
In the process of medication, it is a common practice to treat patients with saline for dehydration and other medical ailments to improve the health condition of the patients. When fed with saline continuous observation of nurses is mandatory in monitoring the level of the saline. There are many cases where patients are being harmed due to the staff inattentiveness, as their absence does not notice the completion of saline level in the container. This arise the problem of back flow of blood immediately after the completion of saline in container. Hence to protect the patient from getting harmed an IoT based saline level monitoring system has been developed. The proposed model incorporates a sensor which continuously detects the saline drops. Whenever the sensor does not detect the drops for a certain interval it alerts the staff of the hospital with the buzzer, helping to monitor the safety of the patients.
Various biometric verification techniques are in use today like iris, fingerprint, signatures, hand vein structure, voice, face etc. The Direct problem states the feature extraction and matching whereas another branch...
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Various biometric verification techniques are in use today like iris, fingerprint, signatures, hand vein structure, voice, face etc. The Direct problem states the feature extraction and matching whereas another branch which deals with the generation of synthetic biometric is an inverse biometric problem. This paper presents the effects and uses of such synthetic biometric. In some cases, it can be used to replace the original dataset so as to save time and expenses whereas on the other hand it can be used for spoofing and forgery. Therefore inverse biometric problem has a wide application in forensic investigation, systems with lack of available training sets, generation of anti-spoofing security systems and simulation of controlled and flexible training skills. This paper also suggests a probabilistic approach for an inverse biometric problem with respect to offline signature verification systems.
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