Transmission of image data over digital networks involving mobile terminals

There is a growing demand for data transmission over digital networks involving mobile terminals. An important class of data required for transmission over mobile terminals is image information such as street maps, floor plans and identikit images. This sort of transmission is of particular interest to the service industries such as the Police force, Fire brigade, medical services and other services. These services cannot be applied directly to mobile terminals because of the limited capacity of the mobile channels and the transmission errors caused by the multipath (Rayleigh) fading. In this research, transmission of line diagram images such as floor plans and street maps, over digital networks involving mobile terminals at transmission rates of 2400 bits/s and 4800 bits/s have been studied. A low bit-rate source encoding technique using geometric codes is found to be suitable to represent line diagram images. In geometric encoding, the amount of data required to represent or store the line diagram images is proportional to the image detail. Thus a simple line diagram image would require a small amount of data. To study the effect of transmission errors due to mobile channels on the transmitted images, error sources (error files), which represent mobile channels under different conditions, have been produced using channel modelling techniques. Satisfactory models of the mobile channel have been obtained when compared to the field test measurements. Subjective performance tests have been carried out to evaluate the quality and usefulness of the received line diagram images under various mobile channel conditions. The effect of mobile transmission errors on the quality of the received images has been determined. To improve the quality of the received images under various mobile channel conditions, forward error correcting codes (FEC) with interleaving and automatic repeat request (ARQ) schemes have been proposed. The performance of the error control codes have been evaluated under various mobile channel conditions. It has been shown that a FEC code with interleaving can be used effectively to improve the quality of the received images under normal and severe mobile channel conditions. Under normal channel conditions, similar results have been obtained when using ARQ schemes. However, under severe mobile channel conditions, the FEC code with interleaving shows better performance

Obfuscated Malware Detection: Investigating Real-world Scenarios through Memory Analysis

In the era of the internet and smart devices, the detection of malware has become crucial for system security. Malware authors increasingly employ obfuscation techniques to evade advanced security solutions, making it challenging to detect and eliminate threats. Obfuscated malware, adept at hiding itself, poses a significant risk to various platforms, including computers, mobile devices, and IoT devices. Conventional methods like heuristic-based or signature-based systems struggle against this type of malware, as it leaves no discernible traces on the system. In this research, we propose a simple and cost-effective obfuscated malware detection system through memory dump analysis, utilizing diverse machine-learning algorithms. The study focuses on the CIC-MalMem-2022 dataset, designed to simulate real-world scenarios and assess memory-based obfuscated malware detection. We evaluate the effectiveness of machine learning algorithms, such as decision trees, ensemble methods, and neural networks, in detecting obfuscated malware within memory dumps. Our analysis spans multiple malware categories, providing insights into algorithmic strengths and limitations. By offering a comprehensive assessment of machine learning algorithms for obfuscated malware detection through memory analysis, this paper contributes to ongoing efforts to enhance cybersecurity and fortify digital ecosystems against evolving and sophisticated malware threats. The source code is made open-access for reproducibility and future research endeavours. It can be accessed at https://bit.ly/MalMemCode.Comment: Accepted and Presented at IEEE-ICTP2023, Dhaka, Banglades

Temporal variation in seed quality of Indian spinach preserved in different containers

The experiment was conducted to investigate the seed quality of Indian spinach for three months stored at different containers (Plastic pot, polythene bag and cloth bag) during 2013-2014 at Seed Technology Laboratory of Bangabandhu Sheikh Mujibur Rahman Agricultural University (BSMRAU), Gazipur. The initial moisture content of the seed was 9.89% with 75.00% germination. However, after two months, the seed had a different range of increased moisture content with reduced germination percentage depending upon the packing materials. Among the three containers, seeds stored at cloth bag absorbed more moisture (14.36%) from surrounding atmosphere followed by the moisture content, 12.67% and 11.50% of polythene bag and airtight plastic pot, respectively. Seeds stored at plastic pot, polythene bag and cloth bag exhibited 65.00, 64.00 and 50.00 per cent germination, respectively. Similarly, the fresh weight and dry weight of seedling and seedling vigor were also decreased. The seeds of plastic pot were good in term of germination capacity, fresh and dry weight and vigor index in comparison to those stored at cloth bag and polythene bag.Int. J. Agril. Res. Innov. & Tech. 5 (2): 51-57, December, 201

Optical Text Recognition in Nepali and Bengali: A Transformer-based Approach

Efforts on the research and development of OCR systems for Low-Resource Languages are relatively new. Low-resource languages have little training data available for training Machine Translation systems or other systems. Even though a vast amount of text has been digitized and made available on the internet the text is still in PDF and Image format, which are not instantly accessible. This paper discusses text recognition for two scripts: Bengali and Nepali; there are about 300 and 40 million Bengali and Nepali speakers respectively. In this study, using encoder-decoder transformers, a model was developed, and its efficacy was assessed using a collection of optical text images, both handwritten and printed. The results signify that the suggested technique corresponds with current approaches and achieves high precision in recognizing text in Bengali and Nepali. This study can pave the way for the advanced and accessible study of linguistics in South East Asia.Comment: Accepted and Presented at ICAECC 2023, Bengaluru, Indi

The Effect of Entrepreneurial Learning on Business Performance: A Study on Micro, Small and Medium Precious Metal Craft Enterprises in South Sulawesi

Abstract Small precious metal craft enterprises are one of South Sulawesi's income sources. In managing these enterprises, various obstacles faced by the actors. The provincial government of South Sulawesi has tried to improve the performance of precious metal craft enterprises through revolving fund, education and training, and market expansion programs, but the results have not yet shown significant results. A common problem found is low work motivation, which resulted in a decrease in performance of these enterprises. The lack of product innovation is caused by the lack of entrepreneurial learning, which impacts on the lack of knowledge in managing precious metal craft enterprises. Referring to the various phenomena above, the question that arises is “does entrepreneurial learning affect the performance of the precious metal craft enterprises in South Sulawesi Province?” The sample of this study consists of 271 people spread in 1 city and 2 regencies, namely Makassar City, Sidrap Regency, and Jeneponto Regency. The techniques of data collection used are questionnaire, observation, interview, and documentation. The technique of data analysis employed is simple linear regression analysis. The results of this study indicate that entrepreneurial learning affects the performance of the precious metal craft enterprises. Based on the results of this study, Provincial and Central Government are recommended to provide education and training on product innovation in order to improve the performance of these enterprises. The government is also expected to provide education and training for the actors on the importance of registering their business with the Department of Cooperatives and SMEs so as to give them the opportunity to participate in education and training held by the Government

Effect of Service Quality on Customer Satisfaction Through Customer Value in PDAM Kota Makassar (Customer Approach in Developing Clean Water Product Services to Customers)

Abstract This research design aimed to test whether factors such as service quality, customer value can affect customer satisfaction in PDAM Makassar City. The research was conducted in 8 (eight) sub-districts, namely Biringkanaya, Bontoala, Sangkarrang Islands, Makassar, Mamajang, Manggala and Panakkukang Districts, from January to October 2020. The population in this study were regular customers of Makassar City PDAM. The accidental sampling method is considered more suitable for this study. There were 250 respondents as the unit of analysis. The data collection method was carried out by distributing questionnaires, in-depth interviews, field observations and literature reviews. The analytical method used to test the research hypothesis is structural equation modeling (SEM) AMOS Vesion,-23. The results of the analysis show that there is a significant effect of service quality on customer value between service quality and customer satisfaction

Alkylation and 1,3-Dipolar Cycloaddition of 6-Styryl-4,5-dihydro-2 H

Some new N-substituted pyridazinones and triazolo[4,3-b]pyridazinones were synthesized, respectively, by simple alkylation and 1,3-dipolar cycloaddition of pyridazin-3-one with nitrile imines. The regioselectivity of the reactions was ascertained by 1H, 13C NMR spectroscopy and X-ray diffraction of the synthesized compounds