The International Journal of Technology Information and Computer (TIJOTIC)

Temporal and Spatial Crime Hotspot Verdict

Sritha Zith DB Srithazith, Digvijay Pandey, Ismail Sheik — Fri, 28 Feb 2020 00:00:00 +0700

The storage and analysis of criminal databases, undebatable, is an essential program. To intuiting the crime, we need to find the map and create some hotspots there. Crime investigation system is a challenging process for every police or detectives to finalize the primary target. Sometimes the polices or investigators are unable to reach the main goal or criminal. To contact the primary goal, we need to validate the temporal and spatial hotspots among the crimes arena. It’s crucial to find the main criminal to protect the world, although it’s not very easy to find the big fish. Because criminals now are applying different kinds of methods to do their crimes. Such as now criminals are using GPS systems, Cybercrime, Facial replication, etc. That's why it's vital to know the types of crime before investigating or rating the crime spots. This paper is going to show the usage binary and genetic flavour to investigate the crime hotspots. This paper aims to make the task easy for every polices and investigators to protect the world from dangerous criminals.

Persuasive Metamorphosis of Manufacturing Overhead at The Golden Doors of Disparaging Uttermost Cost of Goods

Tarun Danti Dey, Sritha Zith Dey Babu Zith, Digvijay Pandey, Ismail Sheik — Fri, 28 Feb 2020 00:00:00 +0700

Manufacturing overhead is applied to the units produced within a reporting period. This is not a direct cost of a product. As like as labor cost, product cost, manufacturing overhead has to enlisted with the system so that we can get good output from inventory management. In every sector of business, there is a big illusion of absorption with the sight of over absorbed and under absorbed product costs. The absorption is under the Generally accepted accounting principals (GAAP), where the absorption cost can be applied and count too. Manufacturing overhead is not a danger, but it’s a problem for us in many purposes of business. This paper is going to give a suitable solution to this problem with the tools of business and technology. This paper will also create a connection between business and technology again by which we will see the impact of technology in business. We are going to see that the actual of cost using FIFO, LIFO, etc. This paper aims to show something new by which the business sector can get the best solution for this manufacturing overhead matter. In case, we all know that many things are related to this matter. Such as factory burden, production overhead, factory overhead, etc. We will role these things with the sight of business and computer science.

Medical Image Mixed Denoise using Discrete Multi Wavlet Transform Novel Threshold Method

Yared Abera Ergu, Kother Mohideen — Fri, 28 Feb 2020 00:00:00 +0700

Generally, most of the images are corrupted by noise which is solved by denoising techniques in the image processing. For that single thresholding techniques are used which removes the additive random noise. The Gaussian -Multi Wavelet technique is utilized to denoising the Gaussian noise present in the mammogram image which is an efficient method due to the capability to acquire the signal energies in a few transforms value. In order to enhance and the noise present in the digital mammographic image, the novel Multi Wavelet techniques are used in this paper. In the first step, image preprocessing is carryout which improves their discrimination of subtle detail and local contrasts. In addition to that edge enhancements and suppressions are accomplished using Multi-Wavelet transforms. We proposed moment based mixed noise reduction technique which decomposes images by discrete Multi-Wavelets after that Improved K-SVD technique is performed by the new threshold values. To removing the single or mixture noises present in the digital mammographic images without affecting the information, the proposed technique is implemented. The performance of the proposed method is analyzed based on the objective evaluation parameter such as PSNR, which is compared with different Multi-wavelet base and various neighbourhoods sizes. From the experimental result, conclude that the proposed Multi-wavelets techniques improve the quality of the images in subjective and objective evaluations. The subjective performance are analyzed based on the visual quality of the images such as edge sharpening and details of the images.

Ramification of COVID19 in Education Sector

Sritha Zith Dey Babu Srithazith, Digvijay pandey, Ismail — Fri, 28 Feb 2020 00:00:00 +0700

COVID-19 pandemic is now a burning issue in the world. Covid-19 is now an unknown killer. We see there are two tests for COVID-19. Such as PCR & RDB test. Though the RDB is the best one.Because it takes low time to give output. In case, around the world peoples are affecting COVID-19 rapidly. We can say that it’s an x=x² equation which the affection rate is now maintaining. But, in this paper, we are going to see the real-time affection of COVID-9 in the educational area and we will also give a solution about how to get rid of this problem. Technology and our strategy will help us to analysand solve this problem. If we see the particular sector of education, we can see that the students are now in a big danger. Because, some of the students are now-missing their exams, class notes, regular exercise. So, here we are are going to solve this matter with the help of some methods and technology.

A Decentralised Disaster Dectection Approach using Image Data

R Amutha, Nischitha D, NK Azad, Priyanka B, Sowmya S — Sun, 05 Jul 2020 00:00:00 +0700

Flood calamity generally happens on account of second generous storm fall or unforeseen addition in water level in streams. Such trademark fiasco may realise the top human life and property loss. In any case, it is essential to cautious the local territories previously and during the disaster by spreading data. With the brisk progress of contraptions installed with web of-things (IoT), this may pass on a ton of positive conditions to initiate the data among individuals. At this moment, we put forward a decentralised cataclysm acknowledgement approach using picture data. The given structure incorporates a set of sensor gadgets fit for getting the photographs. Each contraption can process the image and make advised ready reliant on the given data. For exposure of flood, we applied thresholding-based division what is inexorable, morphological tasks. We performed a wide preliminary to help our method. For assessment reason, we considered pictures taken from various separation, and our work approach gives promising outcomes.