Decimal

About: Decimal is a research topic. Over the lifetime, 2657 publications have been published within this topic receiving 29268 citations. The topic is also known as: base ten & denary.

Behavior of Rounded and Truncated Rand Function Patterns with Increasing and Decreasing Non-normalized Decimal Samples

Abstract: In this report research proposal it may extract some patterns that might get from truncated and rounded decimal numbers from or by using Rand Excel function as random numbers and Random numbers in SPSS statistic software. Applying normalization for some samples of Rand decimals numbers as decimal data samples. Normalization is achieved for this samples where the method used is by increasing and decreasing this random decimal numbers before normalization as non-normalized data and after applying decimal scale normalization. The samples number that may use is more than 20 samples as average and it may less than this numbers by 5 and more than 20 by 30 and apply decimal scale normalization in MS Excel and SPSS software. Could deduct the differences also between MS Excel and SPSS outputs random numbers and also could get patterns form using that method (increasing and decreasing samples) for normalized and non-normalized decimal numbers.

A Differential Privacy-based System for Efficiently Protecting Data Privacy

Abstract: The daily services people use, such as search engines, mobile services, and online social activity, all have vast sensitive personal information in today’s information realm. The question of how to aggregate sensitive user data without compromising individual privacy is a fundamental obstacle to the increasing data accessibility. Differential privacy has become a widely accepted method for disclosing sensitive information while ensuring statistical privacy. There are numerous algorithms that can be used to address various target functions. However, the research gap identified in the existing works is that the noise-added data used in the algorithm is in decimal values, and in some cases, it is negative as well. In general, count or frequency can neither be negative nor decimal, but should rather be a whole number. This research focuses on developing a unique mechanism to protect the sensitive information with the use of differential privacy. Laplace noise addition is frequently advanced as a method for satisfying differential privacy. A dataset is curated by collecting user responses by a survey form and stored as an actual dataset to which the random noise is added to produce the noise added dataset using the differential privacy algorithm i.e., Laplace algorithm. The randomized response algorithm is used to create the noise added dataset. Laplace Mechanism Algorithm is implemented by C++ and Rust, and the result is compared with the existing algorithms. The algorithm only produces whole number that is integers as the count values and produced results with better accuracy than the existing Laplace algorithm.

Metric time, metric angle and metric calendar: description, advantages and stages of transition

Abstract: The current systems of units for time and angle, as well as the calendar, are archaic and have many weaknesses, in particular, they are not based on the decimal system, not rational and are unpractical. The article substantiates the need for their gradual replacement with metric time (MT), metric angle (MA) and metric calendar (MC). The basic versions of MT, MA and MC are described, which can be further developed. In them, base units, their multiples and submultiples are introduced as in the metric system, making the values of time and angles decimal numbers, which simplifies data recording and speeds up calculations. The base unit of MT, a decimal second (desecond), is 0.864 times shorter than the SI second and in a day, instead of 86400 seconds, there are 100000 deseconds. 100 deseconds form a milliday (deminute) and 100 millidays form a deciday (dehours). In MC, the day remains the base unit of the calendar time and contains 10 decidays, or 1000 millidays, or 100,000 deseconds. Multiples and submultiples of the time units are formed as decimal powers of a desecond and a day with metric prefixes. Multiple units of a day are decaday (10 days), centiday (100 days), kilo-, mega-, giga- and teradays. The days of our epoch are counted from January 1, 2001. Epochs of history are entered by 100 kilodays, or 274 years (near, middle and early history), by megadays (2.74 thousand years) and ten megadays (27.4 thousand years). Then May 18, 2022 is 7808th day of our epoch, 107808th day of near history and 1007808th day at shifting to megadays. In geology and astronomy, epochs contain gigadays (2.74 million years) and teradays (2.74 billion years). In MA with decimal angle is introduced as an exact analogue of MT, which simplifies data recording and calculations in engineering, geography and astronomy. A full angle (360 degrees) contains 10 zones, a zone has 100 deminute, and a milliday has 100 deseconds. On the sphere there are 10 zones of longitude (meridians) and 5 zones of latitude (parallels), where the latitude of the north pole is 0 and the south pole is 5. MC is based on MT, but decades are divided into two five day weeks, and 100 days (centidays) are divided into 4 months of 25 days. Centidays and months are only numbered and have no names. The year is a non-system unit for accounting for seasonal and traditional dates. Simplicity, rationality, greater precision and quickness at using MT, MA and MC are decisive in science, technology, economics, education and many other areas of society, and therefore a complete or partial transition to them is inevitable. During the transition period, they can be applied individually and in organizations in cases of obvious advantages and efficiency improvements.

Prize exchange device and price exchange program

Abstract: To provide a prize exchange device and a price exchange program that prevent doubt and misunderstanding caused when a decimal part is generated in a remaining valuable value in prize exchange processing.SOLUTION: A prize exchange device 90 includes display means 93 for displaying information on prize exchange processing, and control means 99. The control means 99 causes the display means 93 to display a remaining valuable value having an integer part and a decimal part when the remaining valuable value has an integer part indicating a numeric value over a decimal point and a decimal part indicating a numeric value under a decimal point.SELECTED DRAWING: Figure 7

Fixed point and floating point converter, processor, method and storage medium

Abstract: The embodiment of the invention discloses a fixed point and floating point converter, a processor, a method and a storage medium. The fixed point and floating point converter can be embedded in a cloud server to improve the conversion speed of a fixed point and a floating point in the cloud server. An input module inputs target fixed point data into a left search module and a right search module;the left search module starts from the decimal point position of the target fixed point data and performs integer preamble value search along the integer direction; the rightward search module startsfrom the decimal point position and carries out decimal leading value search along the decimal direction; if the integer preamble value is found by the left search module, a floating point module acquires a first exponential deviation value, and generates floating point data according to the sign bit of the target fixed point data and the first exponential deviation value; and if the integer preamble value is not found, the floating point module acquires a second exponential offset value, and generates floating point data according to the sign bit and the second exponential offset value. By adopting the converter and the method, the universality of conversion from the fixed-point data into the floating-point data can be improved.