An Approach for Predicting the Shape and Size of a Buried Basic Object on Surface Ground Penetrating Radar System

Surface ground-penetrating radar (GPR) is one of the radar technology that is widely used in many applications. It is nondestructive remote sensing method to detect underground buried objects. However, the output target is only hyperbolic representation. This research develops a system to identify a buried object on surface GPR based on decision tree method. GPR data of many basic objects (with circular, triangular, and rectangular cross-section) are classified and extracted to generate data training model as a unique template for each type of basic object. The pattern of object under test will be known by comparing its data with the training data using a decision tree method. A simple powerful algorithm to extract feature parameters of object which is based on linear extrapolation is proposed. The result showed that tested buried basic objects can be correctly predicted and the developed system works properly

Two-Step Injection Method for Collecting Digital Evidence in Digital Forensics

In digital forensic investigations, the investigators take digital evidence from computers, laptops or other electronic goods. There are many complications when a suspect or related person does not want to cooperate or has removed digital evidence. A lot of research has been done with the goal of retrieving data from flash memory or other digital storage media from which the content has been deleted. Unfortunately, such methods cannot guarantee that all data will be recovered. Most data can only be recovered partially and sometimes not perfectly, so that some or all files cannot be opened. This paper proposes the development of a new method for the retrieval of digital evidence called the Two-Step Injection method (TSI). It focuses on the prevention of the loss of digital evidence through the deletion of data by suspects or other parties. The advantage of this method is that the system works in secret and can be combined with other digital evidence applications that already exist, so that the accuracy and completeness of the resulting digital evidence can be improved. An experiment to test the effectiveness of the method was set up. The developed TSI system worked properly and had a 100% success rate

Caching on Named Data Network: a Survey and Future Research

The IP-based system cause inefficient content delivery process. This inefficiency was attempted to be solved with the Content Distribution Network. A replica server is located in a particular location, usually on the edge router that is closest to the user. The user’s request will be served from that replica server. However, caching on Content Distribution Network is inflexible. This system is difficult to support mobility and conditions of dynamic content demand from consumers. We need to shift the paradigm to content-centric. In Named Data Network, data can be placed on the content store on routersthat are closest to the consumer. Caching on Named Data Network must be able to store content dynamically. It should be selectively select content that is eligible to be stored or deleted from the content storage based on certain considerations, e.g. the popularity of content in the local area. This survey paper explains the development of caching techniques on Named Data Network that are classified into main points. The brief explanation of advantages and disadvantages are presented to make it easy to understand. Finally, proposed the open challenge related to the caching mechanism to improve NDN performance

A HOS-Based Blind Spectrum Sensing in Noise Uncertainty

Spectrum sensing for cognitive radio is a challenging task since it has to be able to detect the primary signal at a low signal to noise ratio (SNR). At a low SNR, the variance of noise fluctuates due to noise uncertainty. Detection of the primary signal will be difficult especially for blind spectrum sensing methods that rely on the variance of noise for their threshold setting, such as energy detection. Instead of using the energy difference, we propose a spectrum sensing method based on the distribution difference. When the channel is occupied, the distribution of the received signal, which propagates under a wireless fading channel, will have a non-Gaussian distribution. This will be different from the  Gaussian noise when the channel is vacant. Kurtosis, a higher order statistic (HOS) of  the  4th order,  is used as normality test for the test statistic. We measured the detection rate of the proposed method by performing a simulation of the detection process. Our proposed method's performance proved superior in detecting a real digital TV signal in noise uncertainty

PENINGKATAN KUALITAS PEMBELAJARAN MELALUI PENGEMBANGAN CONTENT DELIVERY NETWORK DI SMK YAYASAN PESANTREN CINTAWANA TASIKMALAYA

Abstrak Pengabdian kepada masyarakat ini bertujuan untuk meningkatkan kualitas pembelajaran di SMK Yayasan Pesantren Cintawana Tasikmalaya melalui pengembangan Content Delivery Network (CDN). Sekolah Menengah Kejuruan (SMK) merupakan lembaga pendidikan yang memiliki tantangan dalam memberikan pembelajaran berkualitas karena beberapa faktor seperti infrastruktur dan akses terhadap sumber daya pendidikan yang terbatas. Dalam era digital saat ini, penggunaan teknologi informasi menjadi kunci utama untuk meningkatkan kualitas pembelajaran. Pengembangan CDN adalah solusi yang efektif untuk mengatasi tantangan ini. CDN adalah sistem yang memungkinkan distribusi konten digital secara efisien kepada pengguna akhir melalui jaringan yang tersebar luas. Dalam konteks pendidikan, CDN dapat digunakan untuk mengirimkan materi pembelajaran, video pelajaran, dan berbagai sumber daya pendukung lainnya kepada siswa dan guru dengan cepat dan efisien. Data dan sumberdaya pembelajaran digital dapat diakses dengan cepat karena data tersimpan di server lokal sekolah yang terupdate secara otomatis dengan server pusat. Diharapkan bahwa pengembangan CDN ini akan membantu meningkatkan akses siswa dan guru terhadap sumber daya pendidikan, mempercepat distribusi materi pembelajaran, dan secara keseluruhan, meningkatkan kualitas pembelajaran di SMK Yayasan Pesantren Cintawana Tasikmalaya. Hasil dari pengabdian ini diharapkan dapat menjadi panduan bagi sekolah-sekolah lain dalam upaya meningkatkan kualitas pembelajaran melalui teknologi informasi. AbstractThis community service aims to improve the quality of learning at the Cintawana Tasikmalaya Islamic Boarding School Foundation Vocational School through the development of a Content Delivery Network (CDN). Vocational High Schools (SMK) are educational institutions with challenges in providing quality learning due to several factors, such as limited infrastructure and access to educational resources. In today's digital era, the use of information technology is the primary key to improving the quality of learning. CDN development is an effective solution to address this challenge. A CDN system enables efficient digital content distribution to end users over a widely distributed network. In an educational context, CDNs can deliver learning materials, video lessons, and other supporting resources to students and teachers quickly and efficiently. Digital learning data and resources can be accessed quickly because the data is stored on the school's local server and updated automatically with the central server. The development of this CDN will help improve student and teacher access to educational resources, speed up the distribution of learning materials, and, overall, improve the quality of learning at the SMK Yayasan Pesantren Cintawana Tasikmalaya. The results of this dedication are expected to guide other schools to improve the quality of learning through information technology

An Approach for Predicting the Shape and Size of a Buried Basic Object on Surface Ground Penetrating Radar System

Surface ground-penetrating radar (GPR) is one of the radar technology that is widely used in many applications. It is nondestructive remote sensing method to detect underground buried objects. However, the output target is only hyperbolic representation. This research develops a system to identify a buried object on surface GPR based on decision tree method. GPR data of many basic objects (with circular, triangular, and rectangular cross-section) are classified and extracted to generate data training model as a unique template for each type of basic object. The pattern of object under test will be known by comparing its data with the training data using a decision tree method. A simple powerful algorithm to extract feature parameters of object which is based on linear extrapolation is proposed. The result showed that tested buried basic objects can be correctly predicted and the developed system works properly

C3CPS: CRITIC-CoCoSo-based caching placement strategy using multi-criteria decision method for efficient content distribution in Named Data Networking

Caching is an essential component of Named Data Networking (NDN), enabling efficient and scalable content distribution for future networks. The caching strategy regulates content distribution by deciding which network nodes are most suited to store duplicates of popular data. Hence, cache placement decisions are crucial to the NDN cache strategy. According to a prior study, caching decisions should consider the availability of cache storage for each node, the network's structure, and the content's popularity. However, all those criteria are not considered simultaneously in the decision-making process. Ignoring critical criteria can lead to destructive and ineffective decisions. Multi-criteria decision-making (MCDM) improves NDN efficiency in caching decisions. This paper introduces C3CPS, a novel caching placement strategy based on MCDM using CoCoSo and CRITIC weighting method for enhanced content distribution. C3CPS considers five criteria, including two related to the network topologies, two related to cache storage, and the popularity of the content. Then, C3CPS examines these criteria with the CRITIC method to determine the weight of each criterion and the CoCoSo method to determine the optimal cache node. The ICARUS simulator validates C3CPS. The results show that the C3CPS outperforms other alternative caching techniques on cache hit rate, latency, and path stretch

Weighted-CAPIC Caching Algorithm for Priority Traffic in Named Data Network

Today, the internet requires many additional mechanisms or protocols to support various ever-growing applications. As a future internet architecture candidate, the Named Data Network (NDN) offers a solution that naturally fulfills this need. One of the critical components in NDN is cache. Caching in NDN solves bandwidth usage, server load, and service time. Some research about caching has been conducted, but improvements can be made. In this research, we derived the utility function of multiclass content to obtain the relationship between the class’s weight and cache hit ratio. Then, we formulated it into the Weighted-CAPIC caching algorithm. Our research shows that Weighted-CAPIC provides a higher cache hit ratio for the priority class and the whole system. This performance is supported while the algorithm still provides the same path-stretch value as Dynamic-CAPIC. The Weighted-CAPIC is suitable to used in mobile nodes due to its ability to work individually without having to coordinate with other nodes

Weighted-CAPIC Caching Algorithm for Priority Traffic in Named Data Network

Today, the internet requires many additional mechanisms or protocols to support various ever-growing applications. As a future internet architecture candidate, the Named Data Network (NDN) offers a solution that naturally fulfills this need. One of the critical components in NDN is cache. Caching in NDN solves bandwidth usage, server load, and service time. Some research about caching has been conducted, but improvements can be made. In this research, we derived the utility function of multiclass content to obtain the relationship between the class’s weight and cache hit ratio. Then, we formulated it into the Weighted-CAPIC caching algorithm. Our research shows that Weighted-CAPIC provides a higher cache hit ratio for the priority class and the whole system. This performance is supported while the algorithm still provides the same path-stretch value as Dynamic-CAPIC. The Weighted-CAPIC is suitable to used in mobile nodes due to its ability to work individually without having to coordinate with other nodes