The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Toggle rate estimation is critical in the area of chip design, as it plays a major role in the power dissipation of a chip. This work presents a method to estimate the net toggle rate of a gate level circuit considering the effects of spatial correlation, temporal correlation and glitches and a comparison with LUT based methods is carried out. Previous works have addressed only on LUT based methods...
Automatic voiceprint recognition, posited on human speech signal, serves many salient practical applications. A number of studies are undertaken on the basis of normal speech. This research intends to develop automatic voiceprint recognition system on the basis of emotion speech signal in Indonesia language. The study is limited to four different people with speeches of four distinctive emotional...
This study aims to analyse the current method in diagnosing early Alzheimer disease and offer a new method to improve the performance of bioinformatics techniques. It proposes a hybrid MRI image processing method to improve the image quality for Alzheimer disease classification. This hybrid method has four stages consisting of image pre-processing, segmentation, feature extraction, and classification...
This paper proposes a numerical approach for retrieving the parameters of photovoltaic (PV) panel. Based on the datasheet values, a numerical based Newton-Raphson algorithm is investigated for solving the current-voltage relation of a single diode solar PV model. To highlight the rigorous performance of our model, three modules of different technologies of PV were tested; these include the mono-crystalline,...
In speech recognition system, an improved multi-base neural network speech recognition model is proposed to solve the problem of long learning time and slow convergence rate of deep neural network. However, the improved model introduces a large number of parameters in the training process to make the model over-fitted in the test set, resulting in the deterioration of generalization ability and the...
To solve the problem that the traditional Bayesian filtering method has high dependency on system equation, GP-UKF and GP-CKF algorithms are used in this paper. The GP model is established by the off-line data generated by the system operation, and the model is used to replace the system equation in the traditional Bayesian filtering method. The simulation result shows that the two methods can detect...
The validity of sensed data that labels the change events plays the most important role in the accuracy and reliability of the Internet of Things (IoT)-based Wireless sensor network (WSN) applications to assure data quality for perfect decision making. In this study, we suggested and implemented a sensor data validation approach based on adaptive threshold for real-time IOT/WSN sensor node level....
It is well-known that the precision of data, weight vector, and internal representations employed in learning systems directly impacts their energy, throughput, and latency. The precision requirements for the training algorithm are also important for systems that learn on-the-fly. In this paper, we present analytical lower bounds on the precision requirements for the commonly employed stochastic gradient...
L1 instruction fetch misses remain a critical performance bottleneck, accounting for up to 40% slowdowns in server applications. Whereas instruction footprints typically fit within last-level caches, they overwhelm L1 caches, whose capacity is limited by latency constraints. Past work has shown that server application instruction miss sequences are highly repetitive. By recording, indexing, and prefetching...
This paper provides systems and methods for the demand planner to improve forecasting intermittent long-tail demand by leveraging cluster-based processing. The proposed framework has been established on the demand data for a global power-generation business with reliable forecast number accuracy. The exploratory analysis encompasses both demand profiling and product classification stages, and the...
Diagnosing liver disease is the challenging task for many public health physicians. In this study, we propose the framework to diagnose the hepatitis disease. For this study the adaptive rule based induction were formulated and the adaptive rule implemented in combined Robust BoxCox Transformation (RBCT) and Neural Network (NN) methods. The performance of proposed model is compared and results are...
Sorting is an important step in processing and packing lines of pomegranate fruits. Currently pomegranates are sorted into quality categories manually. But manual sorting poses problems such as tediousness, low accuracy, subjectivity etc. Moreover, manual sorting is not recommended for export quality fruits. Hence a machine vision system is required in order to sort the pomegranate fruits. The present...
Classification is a well known of the significant tools used to recognize and examine most sharp information in images. Satellite image processing has become popular in these days because of benefits that those are giving. In any remote sensing particularly, the decision-making way mainly rely on the efficiency of the classification process. Image classification was performed generally and the classification...
We investigated whether men and women use different scanning strategies to extract the visual information relevant for the recognition of female and male faces. We used an old-new recognition task during which observers were asked to identify previously learned faces. Data from two groups of observers (male, female) revealed a more accurate, but not faster, recognition of male face stimuli. Interestingly,...
Active matrix organic light-emitting diode (AMOLED) displays are being adopted in increasing number of smartphones. Most applications are now based on consistent user interfaces, such as games and instant messaging, and it is therefore crucial to efficiently manage the power consumption of the AMOLED display. To this end, an accurate power model for this type of display is needed. The prior work available...
Low-power approximate adders provide basic building blocks for approximate computing hardware that have shown remarkable energy efficiency for error-resilient applications (like image/video processing, computer vision, etc.), especially for battery-driven portable systems. In this paper, we present a novel scalable, fast yet accurate analytical method to evaluate the output error probability of multi-bit...
Skin melanoma is one of the common and most important cancer among human beings. In recent years, a numerous procedures have been proposed to detect and analyze skin cancer. The initial screening of the skin cancer is carried out visually by a doctor. Later, the suspicious regions are recorded using a digital dermatoscope. In the proposed research work, extraction of the cancerous region from the...
Breast cancer is invasive cancer among world's women above 35 years of age. The most common symptoms of breast cancer are lumps, change in shape/skin colour and liquid oozing out from nipple. Breast cancer mostly starts from breast tissues that are either in lobules or in milk ducts. Ductal carcinoma is the common type of breast cancer starts from milk ducts and spread across the. Women between the...
Data collected by fitness trackers could play an important role in improving the health and well-being of the individuals who wear them. Many insurance companies even offer monetary rewards to participants who meet certain steps or calorie goals. However, in order for it to be useful, the collected data must be accurate and also reflect real-world performance. While previous studies have compared...
Highly accurate and precise CNC machines are always required in modern manufacturing systems. Among them, the multi-axis milling machines which possess the X-Y-Z linear and A-B rotary motions plays a significant role in the aerospace industry. Geometric, cutting force and thermal errors are three main sources of error which affects the accuracy of CNC milling machines. This article presents a new...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.